Dissertations / Theses on the topic 'Digital Monitoring of Hazelnut'
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Ming, Harry Peter. "Pedestrian monitoring using digital image processing." Thesis, University of Ulster, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.390164.
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Ferreira, Francisco Manuel Freire Cardoso. "Digital video applied to air quality monitoring." Phd thesis, Instituições portuguesas -- UNL-Universidade Nova de Lisboa -- FCT-Faculdade de Ciências e Tecnologia -- -Departamento de Ciências e Engenharia do Ambiente, 1998. http://dited.bn.pt:80/6544.
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Huynh, Nguyen. "Digital control and monitoring methods for nonlinear processes." Link to electronic thesis, 2006. http://www.wpi.edu/Pubs/ETD/Available/etd-100906-083012/.
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Dissertation (Ph.D.)--Worcester Polytechnic Institute.Keywords: Parametric optimization; nonlinear dynamics; functional equations; chemical reaction system dynamics; time scale multiplicity; robust control; nonlinear observers; invariant manifold; process monitoring; Lyapunov stability. Includes bibliographical references (leaves 92-98).
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Dawson, Sarah P. "Digital X-ray analysis for monitoring fracture healing." Thesis, University of Edinburgh, 2009. http://hdl.handle.net/1842/4285.
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X-ray based evaluation of different stages of fracture healing is a well established clinical standard. However, several studies have shown plain radiography alone to be an unreliable method to assess healing. The advent of digital X-ray systems provides the potential to perform quantitative analysis on X-ray images without disrupting normal clinical practice. Two aspects were explored in this study. The first was the measurement of mechanical fracture stiffness under four point bending and axial loading. The second was the inclusion of an Aluminium step wedge to provide Aluminium-equivalent thickness calibration information. Mechanical sti ness studies involved the development of equipment to perform four point bending on intra-medullary (IM) nailed tibial fractures, equipment to perform axial loading on conservatively treated humeral fractures, and fracture models to ex- amine the developed systems. Computational procedures to automatically measure the angle and offset occurring at the fracture site by comparing loaded and unloaded X-ray images were developed utilising cross-correlation. The apparatus and procedures were tested using the fracture models both in X-ray and using the Zwick materials testing machine. The four point bending system was applied clinically to a series of IM nailed tibial fracture patients and the axial loading system to two conservatively treated humeral fracture patients. Mechanical stiffness results showed that the apparatus worked well in the clinical radiography environment and was unobtrusive to normal practice. The developed X-ray analysis procedure provided reliable measurements. However, in the case of IM nailed tibial fractures, both angular and displacement movements were too small to be accurately assessed or to provide reliable stiffness measurements. This indicated that this patient group was possibly unsuitable for mechanical stiffness measurements or that higher loads needed to be applied to the fracture site. The case studies of conservatively treated humeral fractures showed potential in detecting movement between loaded and unloaded X-rays and using this to provide sti ness information. Further investigation is required to show that this technique has the potential to aid fracture healing monitoring. Investigation into Aluminium step wedge calibration began with the design of different step wedges and X-ray phantoms. Initial image analysis involved studying the automatic processing applied by a digital Computed Radiography (CR) Fuji sys- tem and modelling of the inhomogeneities in X-ray images as well as investigation into the effect of and correction for scatter, overlying soft tissue and bone thickness. Computational procedures were developed to semi-automatically detect the steps of the step wedge, form an exponential Aluminium step thickness to grey level calibration graph, measure soft tissue and bone thickness, and correct for the heel effect and scatter contributions. Tests were carried out on pre-clinical models and results compared to ash weight and peripheral quantitative computed tomography (pQCT). A clinical study of radial fractures was used to investigate the effectiveness of the step wedge calibration system in monitoring fracture healing changes. Results using the step wedge indicated that the calibration technique was e ective in detecting and correcting for aspects in uencing Aluminium-equivalent thickness measures. With careful processing, useful information was obtained from digital X- rays that included the Aluminium step wedge and these correlated well with existing density measures. The use of the wedge in patient images showed that small increases in Aluminium-equivalent thickness of the fracture site could be detected. This was most useful for intra-patient comparisons throughout the course of healing rather than providing quantitative measurements which were comparable to other density measures. In conclusion, this thesis shows the potential for accurate analysis of digital X- rays to aid the monitoring of healing changes in fracture patients, particularly with application of axial loading and the use of step wedge calibration.
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El-Sawaf, Amro. "Monitoring changes in field geometry using LANDSAT digital data." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp05/mq22593.pdf.
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Pentaris, Fragkiskos. "Digital signal processing for structural health monitoring of buildings." Thesis, Brunel University, 2014. http://bura.brunel.ac.uk/handle/2438/10560.
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Structural health monitoring (SHM) systems is a relatively new discipline, studying the structural condition of buildings and other constructions. Current SHM systems are either wired or wireless, with a relatively high cost and low accuracy. This thesis exploits a blend of digital signal processing methodologies, for structural health monitoring (SHM) and develops a wireless SHM system in order to provide a low cost implementation yet reliable and robust. Existing technologies of wired and wireless sensor network platforms with high sensitivity accelerometers are combined, in order to create a system for monitoring the structural characteristics of buildings very economically and functionally, so that it can be easily implemented at low cost in buildings. Well-known and established statistical time series methods are applied to SHM data collected from real concrete structures subjected to earthquake excitation and their strong and weak points are investigated. The necessity to combine parametric and non-parametric approaches is justified and to this direction novel and improved digital signal processing techniques and indexes are applied to vibration data recordings, in order to eliminate noise and reveal structural properties and characteristics of the buildings under study, that deteriorate due to environmental, seismic or anthropogenic impact. A characteristic and potential harming specific case study is presented, where consequences to structures due to a strong earthquake of magnitude 6.4 M are investigated. Furthermore, is introduced a seismic influence profile of the buildings under study related to the seismic sources that exist in the broad region of study.
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Skelsey, Chris. "A system for monitoring land cover." Thesis, University of Aberdeen, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.361785.
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Underlying the majority of remotely-sensed data analysis is the assumption that geographical phenomena, such as rivers, heather-moors and the dynamics associated with such objects, can be adequately detected and identified through the use of spectral and other visual information alone. There is a common misconception that any major deficiencies of quantitative analyses are "hardware problems": that by increasing the spectral, spatial, radiometric and temporal resolutions of sensors, geographical phenomena will be identified with similarly increasing accuracy and reliability. This, however, is an unrealistic viewpoint. This thesis has developed a prototype of an automated system based on the principle that by considering the "real-world" properties of the land, a more effective and robust analysis of its dynamic nature can ensue. SYMOLAC is an automated SYstem for MOnitoring LAnd Cover based upon theories of artificial intelligence. It has been developed within a specifically designed hybrid software environment called ETORA, an Environment for Task-Orientated Analysis. This prototype environment allows SYMOLAC to utilise disparate sources of spatial data, to reason with both quantitative and qualitative knowledge, to model disparate domain uncertainties, and to exploit the functionality of third-party software components. Unlike standard approaches, it allows an automated analysis to focus on each particular domain task and how it may best be performed with the available data, knowledge and software resources. The detection of forest felling and the subsequent update of the Land Cover of Scotland (1988) dataset forms the initial application of SYMOLAC. It is concluded that the system's approach is flexible, extensible and adaptable, and demonstrates one way in which satellite imagery can offer potential to the future monitoring of complex land cover change without the need for human intervention.
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Hadley, Robin. "Monitoring system for free form modeling machines at Digital Mechanics." Thesis, Mälardalen University, School of Innovation, Design and Engineering, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-9505.
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Digital Mechanics is a company in Västerås manufacturing mainlyprototypes for it customers. To do this they use a number of free formingmachines. The building time of these machines differ very much from theestimated time required to build a job and this effects the efficiency of theproduction. The work presented in this paper is mainly about designing andconstructing a monitoring application for the machines at DigitalMechanics. The application will be used for alerting the operators when amachine is not building and preempt machines stopping because they runout of material to increase quality and efficiency in the production. Thesystem may also be used as the core of a future, more advanced, monitoringsystem.The thesis also included a study about how the estimation of the timerequired by the machines to build a job could be enhanced.Because of the nature of the business at Digital Mechanics theimprovement of quality and efficiency deriving from this monitoringapplication is difficult to measure, but the machine operators claim they areassisted by it.
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Anderson, Jason. "Developing Digital Monitoring Protocols for Use in Volunteer Stream Assessment." Virginia Tech, 2001. http://hdl.handle.net/10919/37149.
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The traditional paper-based method of field data collection has always been a time-consuming and cumbersome process. Agency personnel in the field complete a standard evaluation form, which is then returned to the office and entered into a computer database for storage and analysis. Throughout this process, data can easily be lost or misinterpreted. As data requirements continue to expand, field data collection can quickly overwhelm a regulatory agency's manpower and resources, which only serves to exacerbate these problems. Recent technological developments can help agencies and organizations keep up with this growing demand and have begun to change the method of data collection and management.
The overall goal of this study is to develop, demonstrate, and evaluate a digital protocol for the use of technology in a volunteer stream monitoring application and draw conclusions on its applicability as a more effective means of data collection in a wide variety of fields. The protocol includes digital evaluation forms and integrated help files for use in the field. The digital evaluation forms are based on paper evaluation forms developed by researchers conducting a stream corridor assessment of Stroubles Creek in Blacksburg, Virginia.
The protocol was developed using available hardware and software. Collected data can be downloaded directly from a Personal Digital Assistant (PDA) and stored on a hard drive or system server. The data can then be input directly into a Geographic Information System (GIS) database to enhance the visualization and usefulness of the information. The GIS allows surveyors to view the relationships among the many factors affecting the stream, as well as preparing the data for advanced analysis. Two examples are provided: a field application of the protocol on streams currently listed for Total Maximum Daily Load (TMDL) development; and an environmental education setting in a Virginia elementary school. Conclusions drawn from these applications are also described.Master of Urban and Regional Planning
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Norcliffe, Brian Andrew Woodfield. "A study of a digital image based monitoring system for slopes." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp04/mq20684.pdf.
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Sunny, Sebin. "Digital Water Quality Monitoring Services: : Opportunities and Challenges in Rural Areas." Thesis, Högskolan i Halmstad, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-44618.
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Water is an essential part of human life. According to the sustainable development goal (SDG), monitoring water quality is a fundamental goal of the international community. Therefore, there has been research on how the quality of water can be monitored and improved. Data related to water quality can provide service opportunities such as to inform if the water is suitable for drinking by monitoring the quality of water resources. However, there has been limited research exploring opportunities and challenges of digital water quality monitoring services to fulfill requirements in rural areas, such as clean and safe water for drinking. Some challenges can be due to the geographical location of the area or avoiding certain regions for implementing a service due to political agenda or infrastructure, especially in less developed countries or areas. The lack of exploration of opportunities points to the need to further investigate service opportunities like to inform if the water is suitable for drinking in rural areas. It is crucial to monitor water quality and offer services because bad water quality can lead to health issues or poor yield in agriculture, some of the few consequences. Therefore, in my paper, using the Design Science Research (DSR) approach, I have explored various opportunities and challenges of digital water quality monitoring services in Indian rural areas. The result demonstrates opportunities related to the exploration of digital water quality monitoring services in rural areas and the challenges that need to be overcome in order to realize the opportunities. This overview can inform researchers, designers, and stakeholders to understand new service opportunities and challenges of digital water quality monitoring services in rural areas.
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Pinto, Gabriel Sá. "Spectrum monitoring probe for IoT." Master's thesis, Universidade de Aveiro, 2016. http://hdl.handle.net/10773/18394.
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Mestrado em Engenharia Eletrónica e TelecomunicaçõesThis dissertation’s main purpose is the development of a low power and low cost spectrum monitoring probe for the Internet of Things that sends the collected spectrum data to a PC where it will be processed. In the development of this project, a Direct Conversion Tuner was used as a front end for the spectrum analysis followed by a peak detector to calculate the signal power of the resulting I/Q output signal, these data are then sent through a Long Range protocol used in a pair of Transmitter and Receiver modules, to a computer terminal where they are processed and presented to the user in MATLAB software.
O principal objectivo desta dissertação é o desenvolvimento de uma ponta de prova espectral de baixo custo e baixo consumo para a Internet das Coisas que envia os dados recolhidos do espectro para um computador onde serão processados. No desenvolvimento deste projecto foi usado um Direct Conversion Tuner como front end RF para análise do espectro, seguido de um detector de potência que calcula a potência resultante do sinal de saída I/Q, estes dados são enviados através de um protocolo de comunicação de longa distância implementado em módulos de transmissão e recepção, para um terminal de computador onde serão processados e apresentados ao utilizador em MATLAB.
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Pietro, Lisa S. "Developing terrestrial-LIDAR-based digital elevation models for monitoring beach nourishment performance." Access to citation, abstract and download form provided by ProQuest Information and Learning Company; downloadable PDF file, 89 p, 2007. http://proquest.umi.com/pqdweb?did=1400424071&sid=10&Fmt=2&clientId=8331&RQT=309&VName=PQD.
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Clifford, Zachary Alan. "An analog and digital data acquisition system for Non-Intrusive Load Monitoring." Thesis, Massachusetts Institute of Technology, 2009. http://hdl.handle.net/1721.1/61313.
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Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2009.Cataloged from PDF version of thesis.
Includes bibliographical references (p. 327-328).
Non-Intrusive Load Monitoring (NILM) is a method for characterizing and monitoring discrete loads connected to a power distribution system. This can include a ship, a car, or a utility distribution system. The entire concept is predicated on having access to digital samples of the current and voltage signals at the distribution point. This thesis presents a analog to digital converter for this task and a new low-power inductive current sensor for deployment in a standard circuit breaker box. The current sensor uses discrete JFET devices to passively transmit data inductively through the steel door of the circuit breaker.
by Zachary Alan Clifford.
M.Eng.
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Chirappanath, Meenu Joy. "Illustration of Design of Digital Water Quality Monitoring Services for Smart Cities." Thesis, Högskolan i Halmstad, Akademin för informationsteknologi, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-44635.
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Water quality monitoring is vital in smart city planning for managing water resources. In the smart city, more data is being collected. In terms of data related to water quality, many data sources such as smart sensors attached to water quality monitoring systems have been continuously collecting a significant amount of data. The potential of collected data from these sources holds no value for smart cities, unless it is being used to provide digital services such as information about clean and safe drinking water, swimming, fishing, domestic uses, and water reuse. However, the knowledge on how to utilize water quality data for the benefits of smart cities is limited. So, in this paper, I propose digital water quality monitoring services for smart city residents. I explore this proposition through a design study engaging smart city residents, service designers, and developers of water quality monitoring systems. As a result, a service blueprint is presented to illustrate how such services can be designed to provide water quality information for different activities. The study aims to illustrate how opportunities of water quality monitoring system can be explored for smart cities. The study intends that the results are helpful to designers and researchers in designing and developing digital water quality monitoring services in smart cities.
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Sun, Duo. "Flame stability and burner condition monitoring through optical sensing and digital imaging." Thesis, University of Kent, 2012. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.591932.
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This thesis describes the design, implementation and experimental evaluation of a prototype instrumentation system for flame stability and burner condition monitoring on fossil-fuel-fired furnaces. A review of methodologies and technologies for the monitoring of flame stability and burner condition is given, together with the discussions of existing problems and technical requirements in their applications. A technical strategy, incorporating optical sensing, digital imaging, digital signal/image processing and soft computing techniques, is proposed. Based on this strategy, a prototype flame imaging system is developed. The system consists of a rigid optical probe, an optical-bearn-splitting unit, an embedded photodetector and signal-processing board, a digital camera, and a mini-motherboard with associated application software. Detailed system design, implementation, calibration and evaluation are reported. A number of flame characteristic parameters are extracted from flame images and radiation signals. Power spectral density, oscillation frequency, and a proposed universal flame stability index are used for the assessment of flame stability. Kernel-based soft computing techniques are employed for burner condition monitoring. Specifically, kernel principal components analysis is used for the detection of abnormal conditions in a combustion process, whilst support vector machines are used for the prediction of NO x emission and the identification of flame state. Extensive experimental work was conducted on a 9MW th heavy-oil-fired combustion test facility to evaluate the performance of the prototype system and developed algorithms. Further tests were carried out on a 660MWth heavy-oil-fired boiler to investigate the cause of the boiler vibration from a flame stability point of view. Results Obtained from the tests are presented and discussed.
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Thatcher, Anthony University of Ballarat. "Monitoring the impact of occupational health and safety education." University of Ballarat, 2006. http://archimedes.ballarat.edu.au:8080/vital/access/HandleResolver/1959.17/12810.
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"This research investigated whether engineers, graduating from universities more than a decade after the introduction new occupational health and safety (OHS) legislation in Australia, were being equipped with the knowledge and skills to fulfil their professional, legal and moral responsibilities in relation to occupational health and safety. The study focussed on engineering students as future business leaders and designers of working environments. An instrument was designed to examine the ability of OH&S education to affect decision-making and problem solving competence in engineering students and graduates. The study found that engineering graduates in the 1990's were departing [from] their academic institutions with superficial knowledge of occupational health and safety responsibilities and accountability in the workplace. The evaluative tool identified an absence of safety management skills and knowledge within graduate and student engineer groups and an extensive urge to blame and discipline the victim or blame a government regulatory authority. The research found that although occupational health and safety professionals adopt a strategy of a safe work place rather than place emphasis on individual workers the engineers did not adopt the safe place approach and focussed on the person. It is recommended that the evaluative tool or a derivative of it should be used to evaluate the extent to which our community progresses in developing the vital OHS decision-making skills of the people who will manage and design workplaces." --p.ii.Doctor of Philosophy (PhD)
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Thatcher, Anthony. "Monitoring the impact of occupational health and safety education." Thesis, University of Ballarat, 2006. http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/32754.
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"This research investigated whether engineers, graduating from universities more than a decade after the introduction new occupational health and safety (OHS) legislation in Australia, were being equipped with the knowledge and skills to fulfil their professional, legal and moral responsibilities in relation to occupational health and safety. The study focussed on engineering students as future business leaders and designers of working environments. An instrument was designed to examine the ability of OH&S education to affect decision-making and problem solving competence in engineering students and graduates. The study found that engineering graduates in the 1990's were departing [from] their academic institutions with superficial knowledge of occupational health and safety responsibilities and accountability in the workplace. The evaluative tool identified an absence of safety management skills and knowledge within graduate and student engineer groups and an extensive urge to blame and discipline the victim or blame a government regulatory authority. The research found that although occupational health and safety professionals adopt a strategy of a safe work place rather than place emphasis on individual workers the engineers did not adopt the safe place approach and focussed on the person. It is recommended that the evaluative tool or a derivative of it should be used to evaluate the extent to which our community progresses in developing the vital OHS decision-making skills of the people who will manage and design workplaces." --p.ii.Doctor of Philosophy (PhD)
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Thatcher, Anthony. "Monitoring the impact of occupational health and safety education." University of Ballarat, 2006. http://archimedes.ballarat.edu.au:8080/vital/access/HandleResolver/1959.17/15399.
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"This research investigated whether engineers, graduating from universities more than a decade after the introduction new occupational health and safety (OHS) legislation in Australia, were being equipped with the knowledge and skills to fulfil their professional, legal and moral responsibilities in relation to occupational health and safety. The study focussed on engineering students as future business leaders and designers of working environments. An instrument was designed to examine the ability of OH&S education to affect decision-making and problem solving competence in engineering students and graduates. The study found that engineering graduates in the 1990's were departing [from] their academic institutions with superficial knowledge of occupational health and safety responsibilities and accountability in the workplace. The evaluative tool identified an absence of safety management skills and knowledge within graduate and student engineer groups and an extensive urge to blame and discipline the victim or blame a government regulatory authority. The research found that although occupational health and safety professionals adopt a strategy of a safe work place rather than place emphasis on individual workers the engineers did not adopt the safe place approach and focussed on the person. It is recommended that the evaluative tool or a derivative of it should be used to evaluate the extent to which our community progresses in developing the vital OHS decision-making skills of the people who will manage and design workplaces." --p.ii.Doctor of Philosophy (PhD)
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Ranney, John D. "Popular in the Digital Age: Self-Monitoring, Aggression, and Prosocial Behaviors in Digital Contexts and their Associations with Popularity." Diss., North Dakota State University, 2015. http://hdl.handle.net/10365/25179.
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Information and communication technologies (ICT) play an important role in the social lives of adolescents, as many of the social interactions that once occurred in face-to-face contexts are now occurring through digital technologies. Although many of these interactions are prosocial in nature, adolescents may also engage in high levels of aggression in ICT-mediated contexts (Bauman, 2013; Bauman & Newman, 2013). Furthermore, they often engage in self-monitoring when communicating with peers through ICTs in order to maintain a positive public image (Subrahmanyam, Garcia, Harsono, Li, & Lipana, 2009). These digital behaviors may have implications for how individuals establish and maintain their place within social hierarchies in natural peer contexts (e.g., schools). Drawing on both The Hyperpersonal Theory of Computer-Mediated Communication and Resource Control Theory, the current study examined concurrent associations between digital self-monitoring, cyberaggression, cyber-prosocial behaviors, and popularity. A sample of 273 (112 boys; 161 girls) adolescents attending high schools in the Upper-Midwest of the United States provided data for this study during the fall of the 2014 – 2015 school year. Students completed a series of questionnaires consisting of peer-reports and self-reports of aggressive and prosocial behaviors in face-to-face and digital contexts, peer-reports of popularity, and self-reports of self-monitoring in digital and face-to-face environments. Small positive correlations were found when examining associations between peer- and self-rated cyberaggression and peer- and self-rated cyber-prosocial behavior (rs between .11 and .22). Controlling for face-to-face overt and relational aggression, cyberaggression was negatively related to adolescents’ popularity, particularly for individuals who engaged in low to moderate levels of digital self-monitoring. Cyber-prosocial behavior was positively associated with popularity generally, and specifically for adolescents low in face-to-face prosocial behaviors. Cyberaggression, cyber-prosocial behaviors, and sex also interacted to predict popularity. Analyses revealed that for boys high in cyber-prosocial behaviors, cyberaggression was positively associated with popularity, while the relation between cyberaggression and popularity was not significant for girls or for boys low in cyber-prosocial behavior. Results are discussed within the context of Resource Control Theory and how they may be applied to researchers’ understanding of peer relationships in digital and face-to-face social contexts.
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Silva, João Luís Sarmento Donato dos Santos e. "Medical signals monitoring." Master's thesis, Universidade de Aveiro, 2017. http://hdl.handle.net/10773/23782.
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Mestrado em Engenharia Eletrónica e TelecomunicaçõesO ritmo cardíaco, quantidade de oxigénio no sangue, a pressão arterial e o nível de glicemia são variáveis da maior importância na avaliação clínica. Das quatro variáveis, a frequência cardíaca e o nível de oxigénio no sangue são aquelas cuja aquisição é relativamente menos incómoda para o paciente. A pressão arterial é tipicamente medida com um esfigmomanómetro com o auxilio de um estetoscópio. O esfigmomanómetro é composto por uma braçadeira de tecido com uma meia manga insuflável, que é enrolada à volta dum braço ou perna do paciente. A monitorização da glicémia, muito importante em diabéticos, é efetuada com um glicosímetro. Esta medição implica sempre um incomodo processo prévio de extração de uma pequena quantidade de sangue. Mesmo os instrumentos mais recentes que obtém o valor da glicémia através da analise do fluido intersticial (colhido logo abaixo da derme) implicam uma leve picada. O projecto que aqui se propõe visa melhorar o conforto do paciente no processo de aquisição destas variáveis clinicas. Este projeto visa a realização de um sistema único que integre a monitorização das quatro variáveis referidas e que o faça da forma menos invasiva que seja possível.
Heart rate, oxygen saturation in blood, blood pressure and glicemia are variables of major importance in clinical evaluation. Of the four variables, the heart rate and oxygenation in blood are those whose acquisition is relatively less discomfortable for the patient. Blood pressure is typically measured with a sphygmomanometer with the aid of a stethoscope. The sphygmomanometer consists of a tissue cu with an in atable half sleeve, which is wrapped around an arm or leg of the patient. The monitorization of glicemia, very important in diabetics, is made with a glucometer. This measurement implies always an discomfortable process of extracting a small quantity of blood. Even the most recent instruments that obtain the value of glycemia through interstitial uid analysis (collected just below the dermis) imply a slight sting. The project proposed here aims to improve patient comfort in the process of acquisition of these clinical variables. A single system is designed that integrates the monitoring of the four variables mentioned and does so in the least invasive way possible.
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Kharva, Mohamed. "Monitoring of froth systems using principal component analysis." Thesis, Stellenbosch : Stellenbosch University, 2002. http://hdl.handle.net/10019.1/52945.
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Thesis (MScEng)--Stellenbosch University, 2002.ENGLISH ABSTRACT: Flotation is notorious for its susceptibility to process upsets and consequently its poor performance, making successful flotation control systems an elusive goal. The control of industrial flotation plants is often based en the visual appearance of the froth phase, and depends to a large extent on the experience and ability of a human operator. Machine vision systems provide a novel solution to several of the problems encountered in conventional flotation systems for monitoring and control. The rapid development in computer VISIon, computational resources and artificial intelligence and the integration of these technologies are creating new possibilities in the design and implementation of commercial machine vision systems for the monitoring and control of flotation plants. Current machine vision systems are available but not without their shortcomings. These systems cannot deal with fine froths where the bubbles are very small due to the segmentation techniques employed by them. These segmentation techniques are cumbersome and computationally expensive making them slow in real time operation. The approach followed in this work uses neural networks to solve the problems mentioned above. Neural networks are able to extract information from images of the froth phase without regard to the type and structure of the froth. The parallel processing capability of neural networks, ease of implementation and the advantages of supervised or unsupervised training of neural networks make them potentially suited for real-time industrial machine vision systems. In principle, neural network models can be implemented in an adaptive manner, so that changes in the characteristics of processes are taken into account. This work documents the development of linear and non-linear principal component models, which can be used in a real-time machine vision system for the monitoring, and control of froth flotation systems. Features from froth images of flotation processes were extracted via linear and non-linear principal component analysis. Conventional linear principal component analysis and three layer autoassociative neural networks were used in the extraction of linear principal components from froth images. Non-linear principal components were extracted from froth images by a three and five layer autoassociative neural network, as well as localised principal component analysis based on k-means clustering. Three principal components were extracted for each image. The correlation coefficient was used as a measure of the amount of variance captured by each principal component. The principal components were used to classify the froth images. A probabilistic neural network and a feedforward neural network classifier were developed for the classification of the froth images. Multivariate statistical process control models were developed using the linear and non-linear principal component models. Hotellings T2 statistic and the squared prediction error based on linear and non-linear principal component models were used in the development of multivariate control charts. It was found that the first three features extracted with autoassociative neural networks were able to capture more variance in froth images than conventional linear principal components, the features extracted by the five layer autoassociative neural networks were able to classify froth images more accurately than features extracted by conventional linear principal component analysis and three layer autoassociative neural networks. As applied, localised principal component analysis proved to be ineffective, owing to difficulties with the clustering of the high dimensional image data. Finally the use of multivariate statistical process control models to detect deviations from normal plant operations are discussed and it is shown that Hotellings T2 and squared prediction error control charts are able to clearly identify non-conforming plant behaviour.
AFRIKAANSE OPSOMMING: Flottasie is berug daarvoor dat dit vatbaar vir prosesversteurings is en daarom dikwels nie na wense presteer nie. Suksesvolle flottasiebeheerstelsels bly steeds 'n ontwykende doelwit. Die beheer van nywerheidsflottasie-aanlegte word dikwels gebaseer op die visuele voorkoms van die skuimfase en hang tot 'n groot mate af van die ervaring en vaardighede van die menslike operateur. Masjienvisiestelsels voorsien 'n vindingryke oplossing tot verskeie van die probleme wat voorkom by konvensionele flottasiestelsels ten opsigte van monitering en beheer. Die vinnige ontwikkeling van rekenaarbeheerde visie, rekenaarverwante hulpbronne en kunsmatige intelligensie, asook die integrasie van hierdie tegnologieë, skep nuwe moontlikhede in die ontwerp en inwerkingstelling van kommersiële masjienvisiestelsels om flottasie-aanlegte te monitor en te beheer. Huidige masjienvisiestelsels is wel beskikbaar, maar is nie sonder tekortkominge nie. Hierdie stelsels kan nie fyn skuim hanteer nie, waar die borreltjies baie klein is as gevolg van die segmentasietegnieke wat hulle aanwend. Hierdie segmentasietegnieke is omslagtig en rekenaargesproke duur, wat veroorsaak dat dit stadig in reële tyd-aanwendings is. Die benadering wat in hierdie werk gevolg is, wend neurale netwerke aan om die bovermelde probleme op te los. Neurale netwerke is instaat om inligting te onttrek uit beelde van die skuimfase sonder om ag te slaan op die tipe en struktuur van die skuim. Die parallelle prosesseringsvermoëns van neurale netwerke, die gemak van implementering en die voordele van die opleiding van neurale netwerke met of sonder toesig maak hulle potensieel nuttig as reële tydverwante industriële masjienvisiestelsels. In beginsel kan neurale netwerke op 'n aanpassende wyse geïmplementeer word, sodat veranderinge in die kenmerke van die prosesse deurlopend in aanmerking geneem word. Kenmerke van die beelde van die skuim tydens die flottasieproses is verkry by wyse van lineêre en nie-lineêre hootkomponentsanalise. Konvensionele lineêre hoofkomponentsanalise en drie-laag outo-assosiatiewe neurale netwerke is gebruik in die onttrekking van lineêre hoofkomponente uit die beelde van die skuim. Nie-lineêre hoofkomponente is uit die beelde van die skuim onttrek by wyse van 'n drie- en vyf-laag outo-assosiatiewe neurale netwerk, asook deur 'n gelokaliseerde hoofkomponentsanalise wat op k-gemiddelde trosanalise gebaseer is. Drie hoofkomponente is vir elke beeld onttrek. Die korrelasiekoëffisiënt is gebruik as 'n maatstaf van die afwyking wat deur elke hoofkomponent aangetoon is. Die hoofkomponente is gebruik om die beelde van die skuim te klassifiseer. 'n Probalistiese neurale netwerk en 'n voorwaarts voerende neurale netwerk is vir die klassifisering van die beelde van die skuim ontwerp. Multiveranderlike statistiese prosesbeheermodelle is ontwerp met die gebruik van die lineêre en nie-lineêre hoofkomponentmodelle. Hotelling se T2 statistiek en die gekwadreerde voorspellingsfout, gebaseer op lineêre en nie-lineêre hoofkomponentmodelle, is gebruik in die ontwikkeling van multiveranderlike kontrolekaarte. Dit is gevind dat die eerste drie eienskappe wat met behulp van die outo-assosiatiewe neurale netwerke onttrek is, instaat was om meer variansie by beelde van skuim vas te vang as konvensionele lineêre hoofkomponente. Die eienskappe wat deur die vyf-laag outo-assosiatiewe neurale netwerke onttrek is, was instaat om beelde van skuim akkurater te klassifiseer as daardie eienskappe wat by wyse van konvensionele lineêre hoofkomponentanalalise en drie-laag outo-assosiatiewe neurale netwerke onttrek is. Soos toegepas, het dit geblyk dat gelokaliseerde hoofkomponentsanalise nie effektief is nie, as gevolg van die probleme rondom die trosanalise van die hoë-dimensionele beelddata. Laastens word die aanwending van multiveranderlike statistiese prosesbeheermodelle, om afwykings in normale aanlegoperasies op te spoor, bespreek. Dit word aangetoon dat Hotelling se T2 statistiek en gekwadreerdevoorspellingsfoutbeheerkaarte instaat is om afwykende aanlegwerksverrigting duidelik aan te dui.
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Daly, Jonathan. "Video camera monitoring to detect changes in haemodynamics." Thesis, University of Oxford, 2016. https://ora.ox.ac.uk/objects/uuid:e84f2acf-f35c-4257-a4c3-209c5da9cbee.
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Patients in hospital can be prone to sudden, life-threatening changes in their cardiovascular state. Haemodynamic parameters such as blood pressure, pulse transit time (PTT) and perfusion can be monitored in clinical situations to identify these changes as early as possible. Continuous blood pressure is usually monitored using a catheter placed into a major artery, but this is invasive and involves risk to the patient. In the last decade, the field of non-contact vital sign monitoring has emerged, with growing evidence that the remote photoplethysmogram (rPPG) signal can be used to estimate vital signs using video cameras. If the analysis of the rPPG signal can be expanded to include the estimation of haemodynamic parameters, it could result in methods for the continuous, non-contact monitoring of a subject's haemodynamic state. In a physiology study, a series of video recordings were made of 43 healthy volunteers. The subjects sat in a purpose-built chamber, and the composition of the air was carefully adjusted to cause the subjects to experience large, controlled changes in blood oxygen levels. To validate the video camera algorithms, reference data were also collected. Along with the volunteer study, a clinical study was performed to acquire data in a challenging clinical environment. Data were collected from patients on haemodialysis in the Renal Unit, a population likely to experience sudden changes in haemodynamics. The reference data from the Renal Unit study were analysed to determine the extent to which PTT and mean arterial pressure (MAP) are related. The correlation coefficients and linear fits were found on a global and a per-subject basis. In addition, the video recordings from the Physiology study were processed to derive rPPG signals, and these signals were analysed to obtain estimates for PTT. Local rPPG signals were also derived for different regions of interest, and the waveforms were analysed using a novel application of the technique of signal averaging to produce spatial maps of perfusion and blood flow. The correlation between conventionally measured PTT and MAP was found to be weaker in the haemodialysis population than has been shown elsewhere in the literature, except for a sub-set of patients. The results of the video analysis showed that PTT could be estimated robustly and consistently, although direct validation of these estimates was not possible because of the different method used to calculate the reference PTT. For most subjects, the spatial mapping methods produced robust maps that were consistent over time. These results suggest that it is possible to detect changes in haemodynamics using a video camera, and that this could have applications in healthcare, providing that challenges such as subject movement and clinical validation can be overcome.
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Ratter, Adrian. "Development of a real-time digital signal processing system for machine condition monitoring." Thesis, Robert Gordon University, 1991. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.290427.
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Rajendran, Ajith, and Gautham Asokan. "Real Time Monitoring of Machining Process and Data Gathering for Digital Twin Optimization." Thesis, KTH, Industriell produktion, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-301594.
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In the development stages of a Digital twin of production assets, especially machine tools, real time process monitoring and data gathering proves to be vital. Having a monitoring system that monitors and updates the operators or managers in real time, helps improve productivity in terms of reducing downtime through predictive/preventive analytics and by incorporating in process quality assessment capabilities. When it comes to Real time monitoring of machine tools andprocesses, sensor technologies have proven to be the most effective and widely researched. Years of research and development have paved the way for many smart sensor technologies that come both in built with the machine tools as well as external applications. However, these technologies prove to be expensive and complicated to implement especially for Small and Medium Enterprises. This thesis focuses on evaluating and testing a simple, cost-efficient monitoring system using inexpensive sensor technologies that would help optimize an existing Digital twin setup for machine tools for Small and Medium Enterprises. Experiments with a 5 axis CNC machine tool using different tools and varying operating parameters, materials were performed,and the relevant sensor data were collected, mapped, analysed for accuracy and benchmarking. The thesis also evaluates the integration of this data with the information already collected from other sources, improve existing data reliability, and provides guidelines on this could be transformed usefully to create more value to SME’s.
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Ek, Edgar. "Monitoring Land Use and Land Cover Changes in Belize, 1993-2003: A Digital Change Detection Approach." Ohio University / OhioLINK, 2004. http://www.ohiolink.edu/etd/view.cgi?ohiou1102520727.
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Gendriz, Ignacio Sánchez. "A methodology for analyzing data from long-term passive acoustic monitoring." Universidade de São Paulo, 2017. http://www.teses.usp.br/teses/disponiveis/3/3152/tde-26062017-145831/.
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Despite the extensive Brazilian coast areas, little is known on underwater acoustic environments in Brazil. Acoustic environments (or soundscape) are composed by biological, geological and man-made sound sources. Soundscapes are strongly linked to ecosystems dynamics, and follow temporal patters that can vary at daily and seasonal scales. Thus, for soundscape characterization, it is necessary to undertake sound recordings for long periods, which demands innovative analyzing methods. Accordingly, the present research focuses in two principal objectives: (1) to develop methods for analyzing long-term acoustic recordings and, (2) to characterize marine soundscapes of selected points in São Paulo State. Four deployment sites were selected for the underwater acoustic monitoring: a point located at the channel entrance of the Santos Harbor, and three marine Protected Areas (PAs) in Sao Paulo state. As a result, the largest underwater acoustic database from Brazilian seas was acquired. The present work used Power Spectral Density (PSD), Sound Pressure Level (SPL) and Spectrograms to develop an innovative methodology for analyzing long-term acoustic data. In addition, a new visualization tool and a method for automatic detection of dawn and dusk choruses are presented. The achieved results validated the proposed methodology as an effective tool for analyzing long-term acoustic data. The area close to the first site, the vicinity of Santos Harbor, was dominated by ship noise, which values reach levels that can affect some species of fish and marine mammals. The soundscapes of the other three remaining measurement sites were dominated by fish and crustacean choruses, with daily and seasonal patterns (related to sunrise and sunset). For the monitored regions, the present work signifies the first contribution for cataloguing fish choruses, and establishes a baseline for the study of their underwater acoustic environment. Although the proposed methodology has used long-term undersea acoustic datasets as case-study, it can also be extended for monitoring other aquatic or terrestrial ecosystems. Finally, the research indicates to Brazilian environmental agencies and to the related scientific community that passive acoustic monitoring is a noninvasive and cost-effective tool that can be used for the management of PAs and points of economic relevance.Apesar da ampla área dos mares brasileiros, pouco se conhece sobre paisagens acústicas submarinas no Brasil. Estas paisagens são compostas por sons de origens biológicas, geológicas e as produzidas pelo homem. As paisagens acústicas estão fortemente ligadas à dinâmica dos ecossistemas, mostrando padrões temporais diários e sazonais. Para caracterizar paisagens acústicas é necessário realizar gravações de sons por períodos de tempos prolongados, o que demanda métodos de análise inovadores. Neste sentido, a presente pesquisa visa dois objetivos principais: (1) desenvolver métodos para a análise de gravações acústicas de longa duração, (2) caracterizar a paisagem acústica do litoral do estado de São Paulo. Quatro pontos de coleta foram selecionados para monitoramento acústico passivo: um ponto situado no canal de entrada do Porto de Santos e os outros três em áreas de proteção marinhas (APM) do estado de São Paulo. Como resultado foi obtida a base de dados de sons submarinhos mais extensa dos mares brasileiros. Do ponto de vista da análise destes dados, o presente trabalho baseia-se no cálculo da Densidade Espectral de Potência, Níveis de Pressão Sonora e Espectrogramas, obtendo métodos de análise novedosos a partir técnicas tradicionais. Neste contexto a tese apresenta uma ferramenta para a visualização de dados acústicos e um método para a detecção automática de coros biológicos matutinos e vespertinos. Os resultados obtidos permitiram validar a efetividade dos métodos propostos na descrição e análise de dados acústicos de longa duração. O ambiente acústico nas proximidades do Porto de Santos foi dominado por ruído de embarcações, alcançando valores de níveis sonoros capazes de afetar algumas espécies de peixes e mamíferos marinhos. As paisagens acústicas dos três pontos restantes foram dominadas por coros de peixes e crustáceos, com padrões diários e sazonais (relacionados ao nascer e pôr do sol). O presente trabalho constitui a primeira pesquisa que cataloga coro de peixes e que estabelece uma referência para o estudo do ambiente acústico das regiões monitoradas. Embora os métodos apresentados usaram como estudo de caso dados de sons submarinos, a sua aplicação pode ser estendida para o monitoramento de outros ambientes aquáticos ou terrestres. Por último, a pesquisa mostra aos órgãos ambientais brasileiros que o monitoramento acústico passivo é uma ferramenta eficaz para o manejo e monitoramento de áreas protegidas e pontos de relevância econômica.
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Williams, Kenton. "Digital Vertical Aerial Camera System for High-resolution Site Inspections in Conservation Easment Monitoring." Fogler Library, University of Maine, 2005. http://www.library.umaine.edu/theses/pdf/WilliamsK2005.pdf.
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Edwards, Esther. "An investigation into the use of aerial digital photography for monitoring coastal sand dunes." Thesis, Bath Spa University, 2001. http://researchspace.bathspa.ac.uk/1442/.
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The coastal zone is a highly dynamic entity both spatially and temporally and when shoreline changes (and in particular retreat) occur on a hmnan time-scale, measurement of the rate of change becomes a pressing issue. This dynamism presents an excellent scenario for monitoring change using remote sensing techniques, and in the case of coastal sand dunes, where the requirement is to measure small scale changes such as erosion or accretion in the region of 10 or 20 m, aerial photography is the preferred source of remotely sensed data. The rapid developments in digital camera technology and real time satellite differential Global Positioning Systems have yielded new opportunities for mapping and monitoring environmental change when used with image processing and mapping software and state-of-the-art digital photogrammetric workstations. Despite the progress in digital technologies, however, there is still considerable lack of awareness on the part of potential users, and it is in response to this that the processing chain for data collection through to orthophoto production described here has been developed. This study explores the major issues that affect quality, mission logistics and cost and will demonstrate the methodology and application of digital techniques for producing georectified imagery and contoured orthophoto maps of coastal environments. This will be achieved through a series of case studies of dynamic dune environments in south-west England and France. Digital imagery was captured using a colour infrared Aerial Digital Photographic System and ground control was collected using differential Global Positioning Systems. This study seeks to assess the application of this imagery to coastal dune monitoring, putting these new techniques within the grasp of coastal dune managers, enabling them to make use of digital imagery captured to different specifications depending on the accuracy requirement of the end product. The results indicate that this type of imagery and the techniques used can provide the dune manager with information which would otherwise be too costly or time consuming to acquire. 2D rectification of the imagery provided maps of dune retreat and accretion with errors in the region of± 1.5m, and rectification to a higher order using 3D photogrammetric correction provided 1 :5000 contoured orthophotographs with mean xy errors in the region of 2. 5 m and mean elevation errors in the region of 1.5m.
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Wistedt, Johan. "Digital secondary substations with auto-configuration of station monitoring through IEC 61850 and CIM." Thesis, Uppsala universitet, Elektricitetslära, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-360513.
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This thesis explore the possibility to automate a process for configuration of secondary substations monitoring and control. By using a network information system (NIS), information of secondary substations can be extracted, such as feeder naming, primary equipment type, rating and model. From this information an automated process of configuring the secondary substation is possible, which open up the possibility to cost-efficiently digitalise the distribution grid. In the project, the standard IEC 61850 for configuration of communications of intelligent electrical devices was used to automate and standardize the process. The process starts with a extracted IEC 61970 CIM file from the NIS. The IEC 61970 CIM file is converted into a IEC 61850 SCL file through an system engineering tool. The configuration is based of information from the NIS, where the models and types of the equipments decides what type of functionality that is needed for the secondary substation. With help of the created SCL file hardware and human-machine interface (HMI) was configured, creating a full functional system for the secondary substation monitoring and control equipment. The usage of 400V capable input module together with bus couplers, configured in IEC 61850, lowers the configuration needed for the hardware. The usage of SCL files also helps automate the creation of HMI for the secondary substation through IEC 61850 based tools in SCADA software. Creating views of both single-line diagrams as well as digital representation of the secondary substation outgoing feeders with measured values on display. The result of the project helps show NIS information is sufficient and standards mature enough to allow an almost fully automated system. Lowering the total time spent on each stations configuration to around two hours. Leading the way for future development of automating software for configurations of the secondary substations.
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Manzoor, Sohail. "Rock Evaluation Using Digital Images and Drill Monitoring Data : Before and after rock blasting." Licentiate thesis, Luleå tekniska universitet, Geoteknologi, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-80806.
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This research is carried out to better understand the nature of the rock mass and to have a better anticipation of rock fragmentation before blasting the rock mass. Current practices of assessing rock mass usually involve techniques that focus on the surface or outcrop of the rock mass such as scanline surveys, window surveys, photogrammetry and laser scanning etc. These techniques generally lack the ability of providing sufficient information about the rock mass as well as bear various inherent constraints such as safety issues, time requirements, user biasness, equipment requirements and reproducibility of results. Similarly, the rock fragmentation is predicted using different mathematical equations known as fragmentation models. However, these models ignore some key factors that significantly affect the nature of fragmentation such as chargeability of blastholes, drilling information e.g. borehole deviation and require numerous rock parameters which are not well known in most cases. These models are often site-specific and are mostly developed for surface mines. Therefore, their application in underground mining is not so common. The aim of this research is to investigate the possibility of eliminating the constraints and supporting the current practices of rock mass assessment and rock fragmentation prediction. In this regard, drill monitoring technique has been selected as a potential tool for analysing the rock mass and forecast the rock fragmentation. To test the selected technique, measurement while drilling (MWD) data was collected from three different mines. The variations in MWD data were analysed to identify different zones and structures present inside the rock mass. The results were compared to 3D images obtained by close-range terrestrial digital photogrammetry for validation, which showed a close agreement with each other. Similarly, MWD data was used to classify the rock mass into five different classes i.e. solid, slightly fractured, highly fractured, having cavities, and major cavities in a sublevel caving operation. The loading operation of the blasted rock was filmed and digital images of LHD buckets containing blasted rock were extracted from the video recordings. The blasted rock inside the buckets were categorized as fine, medium, coarse and oversize fragmentation based on their median fragment size (X50). A statistical analysis was carried out to see the correlation between MWD based rock mass classes and fragmentation classes. The results showed that fine and medium size fragmentation has better correlation and can be predicted with higher accuracy using MWD data as compared to coarse and oversize fragmentation. The results suggest that the drill monitoring technique has the potential to assess rock mass as well as predict rock fragmentation to some extent. It can be used to differentiate between a weak or strong rock mass or between a fractured or competent rock mass. It can be used to differentiate between joints, cavities or foliations etc. It can also be used to predict finer and medium size fractions of the blasted rock with reasonable accuracy. However, the coarser and oversize fragmentation didn’t have a reliable correlation with MWD data. The potential of using drill monitoring technique for rock mass assessment and rock fragment prediction can be further explored and validated using other established rock mass and fragmentation assessment techniques. It can largely overcome the time, cost and safety constraints associated with the methods already in practice.
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Afrifa-Yamoah, Ebenezer. "Imputation, modelling and optimal sampling design for digital camera data in recreational fisheries monitoring." Thesis, Edith Cowan University, Research Online, Perth, Western Australia, 2021. https://ro.ecu.edu.au/theses/2387.
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Digital camera monitoring has evolved as an active application-oriented scheme to help address questions in areas such as fisheries, ecology, computer vision, artificial intelligence, and criminology. In recreational fisheries research, digital camera monitoring has become a viable option for probability-based survey methods, and is also used for corroborative and validation purposes. In comparison to onsite surveys (e.g. boat ramp surveys), digital cameras provide a cost-effective method of monitoring boating activity and fishing effort, including night-time fishing activities. However, there are challenges in the use of digital camera monitoring that need to be resolved. Notably, missing data problems and the cost of data interpretation are among the most pertinent. This study provides relevant statistical support to address these challenges of digital camera monitoring of boating effort, to improve its utility to enhance recreational fisheries management in Western Australia and elsewhere, with capacity to extend to other areas of application.
Digital cameras can provide continuous recordings of boating and other recreational fishing activities; however, interruptions of camera operations can lead to significant gaps within the data. To fill these gaps, some climatic and other temporal classification variables were considered as predictors of boating effort (defined as number of powerboat launches and retrievals). A generalized linear mixed effect model built on fully-conditional specification multiple imputation framework was considered to fill in the gaps in the camera dataset. Specifically, the zero-inflated Poisson model was found to satisfactorily impute plausible values for missing observations for varied durations of outages in the digital camera monitoring data of recreational boating effort.
Additional modelling options were explored to guide both short- and long-term forecasting of boating activity and to support management decisions in monitoring recreational fisheries. Autoregressive conditional Poisson (ACP) and integer-valued autoregressive (INAR) models were identified as useful time series models for predicting short-term behaviour of such data. In Western Australia, digital camera monitoring data that coincide with 12-month state-wide boat-based surveys (now conducted on a triennial basis) have been read but the periods between the surveys have not been read. A Bayesian regression framework was applied to describe the temporal distribution of recreational boating effort using climatic and temporally classified variables to help construct data for such missing periods. This can potentially provide a useful cost-saving alternative of obtaining continuous time series data on boating effort.
Finally, data from digital camera monitoring are often manually interpreted and the associated cost can be substantial, especially if multiple sites are involved. Empirical support for low-level monitoring schemes for digital camera has been provided. It was found that manual interpretation of camera footage for 40% of the days within a year can be deemed as an adequate level of sampling effort to obtain unbiased, precise and accurate estimates to meet broad management objectives. A well-balanced low-level monitoring scheme will ultimately reduce the cost of manual interpretation and produce unbiased estimates of recreational fishing indexes from digital camera surveys.
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Vlasenko, Michail. "Supervision of video and audio content in digital TV broadcasts." Thesis, KTH, Kommunikationssystem, CoS, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-91935.
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An automatic system for supervision of the video and audio content in digital TV broadcasts was investigated in this master’s thesis project. The main goal is to find the best and most cost effective solution for Teracom to verify that the broadcast TV content as received by remote receivers is the same as that incoming to Teracom from content providers. Different solutions to this problem will be presented. The report begins with some background information about the Swedish terrestrial digital TV network and the MPEG-2 compression standard used to transport audio and video; including a description of the DVB Systems and Transport Stream protocol. It describes two current techniques for the supervision of the audio and video content, including an evaluation of these techniques. The first solution is to monitor the video and audio content either by detecting common errors such as frozen picture, visible artifacts, or by comparing the content from two different sources, i.e. a comparison of the output and the input content. The later could be done using video fingerprinting. The second solution monitors the video and audio content indirectly by analyzing the Transport Stream. This could be done either by comparing two Transport Streams to verify that the broadcast signal is identical to the received signal or by detecting common errors in the streams. Further two new potential solutions will be presented based on the research utilizing background knowledge of the MPEG-2 compression standard. The thesis ends with a summary with conclusions and evaluations of all four solutions and future work.Ett system för automatisk övervakning av ljud- och bildinnehåll i digitala TV sändningar var undersökt i detta exjobb. Målet är att hitta bästa och mest kostnadseffektiva lösningen för Teracom för verifiering av TV innehållet som tas emot av fjärrmottagare är densamma som Teracom får från sina tjänsteleverantörer. Olika lösningar till detta problem blir presenterade. Presentationen startar med bakgrundsinformation om Sveriges marknät för digital TV och MPEG-2 komprimeringsstandarden som används för ljud- och bildsändningar. Den kommer att inkludera en kort beskrivning av DVB system och Transport ström protokoll. Två nuvarande tekniker för övervakningen av ljud- och bildinnehåll kommer att presenteras. Första lösningen handlar om att övervaka TV innehåller antigen genom att detektera vanligast förekommande fel såsom fryst bild, tydliga artefakter eller genom en jämförelse av innehållet från två olika källor, dvs. en jämförelse av ingångs och utgångssignal. Den senare kan åstadkommas genom att använda en så kallad video fingeravtryck. Andra lösningen övervakar ljud- och bildinnehåll indirekt genom att analyser Transport strömmen. Detta görs genom en jämförelse av två Transport strömmar för verifiering om signalen är densamma samt genom detektering av vanligast förekommande fel i strömmarna. Vidare, två nya potentiella lösningar kommer att presenteras med utgångspunkt från den backgrundskunskap om MPEG-2 komprimerings standard som getts. Presentationen avslutas med en sammanfattning och utvärdering av alla fyra lösningar och framtida arbeten.
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Lundgren, Thomas. "Kartläggning av systemanvändning genom Application Performance Monitoring." Thesis, Högskolan i Gävle, Datavetenskap, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-32652.
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Application Performance Monitoring (APM) används i allt större utsträckning för att samla in data om mjukvarusystems prestanda och om hur användare interagerar med systemen. Detta för att säkerställa tillgänglighet och robusthet samt förbättra slutanvändarupplevelser. Syftet med denna studie är att undersöka hur införandet av APM kan gå till, vilka utmaningar som finns samt vilka kostnader och prestandaförsämringar som införandet innebär. Detta görs genom en fallstudie där APM implementeras i Enterprise Resource Planning-systemet MONITOR G5 som utvecklats av det svenska företaget Monitor ERP System AB. Systemet är utvecklat i Microsofts mjukvaruramverk .NET Framework och APM-tjänsten som används är Microsofts Application Insights. Studien resulterade i ett förslag på en APM-lösning där data om användarinteraktioner, prestanda och uppkomna fel samlas in och visualiseras. Sex instrumentpaneler skapades som visar olika aspekter av insamlade data, bland annat prestandamätvärden såsom processor- och minnesanvändning, uppkomna fel, laddningstider för vyer samt vilka delar av systemet som används mest och minst. Kostnadsanalysen visar att kostnaderna kan bli väldigt höga, men förslag på strategier för att hålla kostnaderna nere ges. Prestandatesterna som utfördes för att undersöka APM-lösningens påverkan på systemets prestanda gav otillförlitliga resultat, men det är troligt att prestandakostnaden för APM är liten.The use of Application Performance Monitoring (APM) for collecting data about performance and end-user behaviors in complex software systems is increasing. APM is used to ensure availability and robustness and to enhance end-user experiences. This study aims to investigate how the adoption of APM can be done, what challenges organizations face during the implementation as well as costs and performance overhead associated with APM. This is achieved through a case study in which APM is introduced into the Enterprise Resource Planning (ERP) system MONITOR G5, developed and maintained by the Swedish software company Monitor ERP System AB. The system is developed in Microsoft’s .NET Framework and the APM service used is Microsoft’s Application Insights. The study resulted in a proposed APM solution wherein data regarding user interactions, performance and errors are collected and visualized. Six dashboards were created, showing different aspects of the collected data, for instance: which parts of the system is most and least frequently used, errors, load times and performance metrics such as processor and memory usage. The cost analysis shows that monetary costs can be very high, but strategies for suppressing costs are proposed. The performance tests that were conducted to determine the performance overhead of APM are inconclusive, but it is likely that the performance penalty of using APM is small.
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The, Bertram. "Digital radiographic preoperative planning and postoperative monitoring of total hip replacements techniques, validation and implementation /." [S.l. : [Groningen : s.n.] ; University Library Groningen] [Host], 2006. http://irs.ub.rug.nl/ppn/297657615.
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Kauffmann, Hans. "A digital image analysis method for monitoring crack growth in metal fatigue testing / H. Kauffmann." Thesis, North-West University, 2005. http://hdl.handle.net/10394/976.
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Metal fatigue tests are an everyday occurrence that updates existing fatigue libraries, ensuring
that structures and components do not fail when in use. The American Society for Testing and
Materials (ASTM) provides standard tests whereby certain material properties are obtained by
the exact same method for each test, providing designers the information to prevent premature
failure. The Fatigue Crack Growth Rate (FCGR) of a standard specimen provides information
for situations where a crack may exist in components. The critical size of the crack determines
when it is safe to use a component and when to discard it.
Testing methods relating to fatigue crack growth propagation rates vary with respect to
requirements and conditions. A wide variety of test methods can be utilised to find reliable data.
One such a method uses a travelling microscope. It has been extensively used with success,
but requires constant stoppages for measurements and user attention to make interval
measurements. Alternative measurement methods have solved these disadvantages but have
generally been of the contact and indirect types. Contact to the specimen may in some cases
influence the results negatively, while indirect methods generally require previously obtained
data to calibrate the results.
The presented digital image analysis method has in principle the same functioning as that of the
travelling microscope whilst eliminating constant user attention and stoppages. The process
was automated and provided a cost saving alternative to similar products available on the
market. The standard test method for measurement of fatigue crack growth rates as outlined by
ASTM E647 (2002) was employed to provide standardised results.
The designed and assembled test facility was put to test when a FCGR test was conducted.
The set-up consisted of an lnstron 1603 Electromagnetic Resonance machine, a Nikon D70 and
a PC with acquired and custom written software. The digital image analysis method provided
crack growth measurements with a difference of less than 1% from the actual values.
Furthermore, the end result provided a Paris equation for a mild steel specimen.Thesis (M.Ing. (Mechanical Engineering))--North-West University, Potchefstroom Campus, 2006.
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Filippi, Patrick. "Monitoring and modelling spatio-temporal soil change in a semi-arid irrigated cotton-growing region of south-west NSW, Australia – The impacts of land use and climatic fluctuations." Thesis, The University of Sydney, 2017. http://hdl.handle.net/2123/17900.
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Soil is an invaluable finite resource, and it is essential that any changes in soil condition are adequately monitored. In the semi-arid regions of eastern Australia, there has been an expansion of intensive irrigated cotton production, and these regions have also experienced highly variable rainfall patterns in the last decade or so. This combination of climatic and land use changes has the potential to significantly alter soil attributes. This thesis focuses on monitoring the change in several important soil properties – pH, salinity, sodicity, and organic and inorganic carbon – in the semi-arid irrigated cotton-growing district of Hillston, NSW, between 2002 and 2015. Rather than using traditional digital soil mapping techniques, this study focuses on using bi- and multi-variate linear mixed models, and two-step mixture models to model and map soil properties in space and time. The linear mixed models were particularly advantageous for monitoring changes in soil properties as they can account for correlation in space and time, and improve the sensitivity of detecting statistically significant changes. As traditional laboratory methods of measuring certain soil properties can be expensive and laborious, this study also focused on using visible near infrared (VisNIR) spectroscopic techniques to rapidly predict exchangeable sodium percentage (ESP), organic carbon (SOC) content, and inorganic carbon (SIC) content. Various degrees and extents of soil change were observed during the study period in both the top and sub soil. This included an acidification trend in some areas, a contrasting shift in electrical conductivity (EC) under differing land uses, an increase in soil ESP under irrigated land uses, an increase in SOC content at some locations, and no detectable change in SIC content. Overall, it was clear that fluctuating rainfall patterns and agricultural management practices had a notable impact on the degree and direction of changes in soil properties.
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Williams, Jennifer M. "An Application of Digital Video Recording and Off-grid Technology to Burrowing Owl Conservation Research." Thesis, University of North Texas, 2014. https://digital.library.unt.edu/ark:/67531/metadc699953/.
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Through this research, engineering students and conservation biologists constructed an off-grid video system for observing western burrowing owls in El Paso, Texas. The burrowing owl has a declining population and their range decreasing, driving scientists' interest to see inside the den for observing critical nesting behavior. Texas Parks and Wildlife Department (TPWD) biologists wanted videos from inside the dark, isolated hillside owl burrows. This research yielded a replicable multi-camera prototype, empowering others to explore applications of engineering and wildlife monitoring. The remote station used an off-the-shelf video recording system, solar panels, charge controller, and lead acid batteries. Four local K-12 science educators participated in system testing at Lake Ray Roberts State Park through the Research Experiences for Teachers (RET, NSF #1132585) program, as well as four undergraduate engineering students as senior design research.
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Janjarasjitt, Suparerk. "A NEW QRS DETECTION AND ECG SIGNAL EXTRACTION TECHNIQUE FOR FETAL MONITORING." Case Western Reserve University School of Graduate Studies / OhioLINK, 2006. http://rave.ohiolink.edu/etdc/view?acc_num=case1144263231.
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Muratoglu, Bukay. "Monitoring Bulbulderesi And Bakacak Landslides With Photogrammetric Techniques." Master's thesis, METU, 2009. http://etd.lib.metu.edu.tr/upload/3/12610586/index.pdf.
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Every year, thousands of people all over the world are loosing their lives in natural disasters. As a second most widespread hazard, landslides are still a disaster problem for Turkey. The long-term monitoring studies of instability phenomena have a paramount importance for Turkey to reduce its both direct and indirect effects.
The objective of this thesis is to monitor the activity of the Bülbü
lderesi and Bakacak landslides in Asarsuyu Catchment for 42 years period by the digital aerial photogrammetric techniques while evaluating the possible use of archive aerial photography in such analysis. To achieve the purpose of the study an orthophoto map was generated by aerial photographs belonging to 1994 year. The orthophoto map was utilized as a base map for aerial photo interpretation of different sets of aerial photographs corresponding to 1952, 1972, 1984 and 1994 years. As a result of this, 4 landslide activity maps are obtained. In addition, the characteristics of these landslides are analyzed by utilizing digital elevation model (DEM) created from stereo photographs of 1994. As a result of the study, no considerable variation is detected in the position of main boundaries of Bü
lbü
lderesi and Bakacak landslides except some minor differences. However, within the landslides many topographical changes were observed between 1952 and 1994 period. Based on the profiles from toe to crest of the Bü
lbü
lderesi landslide, the approximate length was measured as 4773m whereas the approximate width was about 2614m. The areal extent was calculated as ~12km2 having an approximate slope gradient ranging between 10-15°
with local variations. On the other hand, the approximate length of Bakacak landslide was 4420m and the approximate width was 832m from toe to crest with an area of ~4km2 and with an approximate slope angle 9-14°
.
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Gao, Ying. "A Digital Signal Processing Approach for Affective Sensing of a Computer User through Pupil Diameter Monitoring." FIU Digital Commons, 2009. http://digitalcommons.fiu.edu/etd/132.
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Recent research has indicated that the pupil diameter (PD) in humans varies with their affective states. However, this signal has not been fully investigated for affective sensing purposes in human-computer interaction systems. This may be due to the dominant separate effect of the pupillary light reflex (PLR), which shrinks the pupil when light intensity increases. In this dissertation, an adaptive interference canceller (AIC) system using the H∞ time-varying (HITV) adaptive algorithm was developed to minimize the impact of the PLR on the measured pupil diameter signal. The modified pupil diameter (MPD) signal, obtained from the AIC was expected to reflect primarily the pupillary affective responses (PAR) of the subject. Additional manipulations of the AIC output resulted in a processed MPD (PMPD) signal, from which a classification feature, PMPDmean, was extracted. This feature was used to train and test a support vector machine (SVM), for the identification of stress states in the subject from whom the pupil diameter signal was recorded, achieving an accuracy rate of 77.78%. The advantages of affective recognition through the PD signal were verified by comparatively investigating the classification of stress and relaxation states through features derived from the simultaneously recorded galvanic skin response (GSR) and blood volume pulse (BVP) signals, with and without the PD feature. The discriminating potential of each individual feature extracted from GSR, BVP and PD was studied by analysis of its receiver operating characteristic (ROC) curve. The ROC curve found for the PMPDmean feature encompassed the largest area (0.8546) of all the single-feature ROCs investigated. The encouraging results seen in affective sensing based on pupil diameter monitoring were obtained in spite of intermittent illumination increases purposely introduced during the experiments. Therefore, these results confirmed the benefits of using the AIC implementation with the HITV adaptive algorithm to isolate the PAR and the potential of using PD monitoring to sense the evolving affective states of a computer user.
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Trifylli, Georgia. "Investigation into the role of digital subtraction radiography for monitoring healing of traumatised teeth in children." Thesis, University of Manchester, 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.713525.
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Lusinga, Shallen. "Towards a digital tool for monitoring and reporting mobile victimisation among South African high school students." Doctoral thesis, Faculty of Commerce, 2019. https://hdl.handle.net/11427/31691.
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Mobile victimisation is one form of cyber aggression that is increasing and affecting many young people in the developing world today. However, the focus on mobile victimisation in developing nations is limited. There is also limited theoretical work to enhance the conceptualisation of mobile victimisation. Understanding this phenomenon in developing countries is particularly critical as mobile phone usage and crime in these countries are among the highest in the world. Literature shows that in addition to these challenges, schools that have adopted paper or program-based interventions have not been very successful in combating victimisation. Research from other disciplines, however, suggests that digital interventions effectively address health and psychological challenges by offering digital self-intervention. Research shows that reporting bullying incidents is a form of intervention whose challenges in developing and maintaining mechanisms persist. Schools particularly lack systems for reporting and students do not trust some of the reporting mechanisms. Similar problems have been identified in cyberbullying literature. Reporting violence in schools is particularly important in a country like South Africa, where the rate of crime remains the highest in the world. Understanding the circumstances under which victims decide to report (or not report) is important for effective development and implementation of appropriate interventions. Studies on crime reporting provide mechanisms for predicting reporting behaviour that are mainly based on sociological, economic or psychological models. Given that this study investigated reporting behaviour from a technological perspective, technological models were also considered. However, focusing on one theoretical model may fail to capture the complexity of the factors influencing a victim's decision whether or not to report aggression. A broader theoretical perspective would allow for the identification of the various motivating factors which generally do not operate exclusively. In addition, most existing studies have focused on traditional forms of violence. Victimisation in schools is increasingly committed using mobile technology, making it imperative to examine the problem of reporting in a mobile environment. Reporting practices in a digital context may, however, differ in some aspects from reporting in a non-technological environment and these may vary across cultural groupings. Applying a design science research (DSR) process within a pragmatic paradigm and being informed by literature, this study developed an integrative framework for understanding the under-reporting of mobile victimisation by students so as to inform the development of a mobile-based intervention. Findings from the study confirmed that students do not report their victimisation because of economic, psychological, cultural-sociological and technological factors as predicted by the integrative theoretical framework. This confirmed the complexity of the factors influencing students decision whether or not to report aggression. This, therefore, implied that the proposed framework is not only valuable in explaining the broad socialcultural context of victimisation reporting, but also in reporting behaviours at the individual level. The proposed framework, therefore, informed the design, development and evaluation of a mobile application for reporting mobile victimisation faced by high school students in South Africa. An application named the Mobile Victimisation Monitoring and Reporting (MVMR) application was then developed and evaluated among high school students. The MVMR application (app) provides useful features that enable: reflection by students; empathy from adult figures; empowerment for the students; consequence for the bullies. It also mitigates students’ fear and provides them with the ability to control their reporting. Of the features engrained in the MVMR app to capture these themes, students found the option to report anonymously, the option to identify the bully and the display of their frequency of mobile phone use to be the most relevant and useful. The study makes significant contribution to knowledge by providing insights into the reporting behaviours of high school students, which is an understudied research area. One essential theoretical contribution was the development of an integrative theoretical framework that provides the theoretical and social-ecological underpinnings to reporting behaviour which have previously been broad-brush approaches given to a whole class or whole school. Concerning the contribution to practice, the study produced an IT artefact that is based on the proposed integrative theoretical framework. With this tool, high school students will have a means by which to report their victimisation and have the report addressed by an administrator who has a social-ecological understanding of that student. This creates a shift from generalised interventions and creates a more personalised approach to intervening mobile victimisation. Further discussions on the theoretical, practical and methodological contributions are made in this thesis, along with the limitations of the study and recommendations for future research.
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SALACHORIS, GEORGIOS PANAGIOTIS. "Exploiting Artificial Intelligence to build realistic numerical models: A Digital Twin application in Structural Health Monitoring." Doctoral thesis, Università Politecnica delle Marche, 2022. http://hdl.handle.net/11566/295395.
Full textAbstract:
Structural Health Monitoring ha ricevuto un ampio riconoscimento e sviluppo negli ultimi anni. Sono stati fatti progressi in molti campi, come le tecnologie di rilevamento, le applicazioni e l'elaborazione dei dati. A causa della crescente necessità di preservare gli edifici del patrimonio culturale che sono interessati dall'ambiente multi-pericoloso e in particolare dai terremoti, l'automazione delle tecniche di monitoraggio della salute strutturale è diventata un importante argomento di ricerca. La conservazione del patrimonio culturale richiede la combinazione di indagini in situ e modelli analitici accurati al fine di comprendere e interpretare correttamente l'evidenza empirica al fine di applicare con successo analisi strutturali avanzate e valutare lo stato degli edifici del patrimonio.
La Tesi si concentra sui metodi computazionali, sulle tecniche di correlazione e sull'aggiornamento dei modelli con un algoritmo metaeuristico ispirato alla natura indicandone vantaggi e svantaggi. L'applicazione di tutti i componenti si presenta sotto forma di un caso studio in cui il comportamento dinamico della Torre Civica di Ostra viene approfondito mediante un modello numerico dettagliato e calibrato rispetto alle caratteristiche modali sperimentali. L’applicazione si basa sulla procedura automatica di calibrazione mediante un algoritmo genetico metaeuristico basato sulla popolazione e sull'uso dell'apprendimento automatico. Questo passaggio consente di stimare con successo le incertezze dei parametri sconosciuti del materiale, considerando sia un modello comportamentale isotropo che ortotropo per la muratura. I risultati consentono di convalidare la metodologia e stabilire informazioni di base sulle condizioni della struttura insieme a standard di prestazione che serviranno a controllare l'integrità strutturale nel tempo.Structural Health Monitoring has received wide recognition and development the last years. Advancements have been made in many of the fields, like sensing technologies, applications and data processing. Due to the increasing need for preservation of Cultural Heritage buildings that are affected by the multi hazardous environment and specifically earthquakes, the automatization of Structural Health Monitoring techniques has become an important research subject. The preservation of Cultural Heritage requires the combination of in situ investigations and accurate analytical models in order to understand and correctly interpret the empirical evidence in order to to successfully apply advanced structural analyses and assess the state of Heritage Buildings. The Thesis focuses on the computational methods, correlation techniques and model updating with a nature-inspired metaheuristic algorithm indicating their advantages and drawbacks. The application of all the components comes under the form of a case study where the dynamic behavior of the Civic Tower of Ostra is thoroughly investigated by means of a detailed numerical model and calibrated against the experimental modal features. The pairing is based on the automatic procedure of calibration by a metaheuristic population-based genetic algorithm and use of machine learning. This step allows to successfully estimate the uncertainties of the unknown material parameters, considering both an isotropic and an orthotropic behavioral model for masonry. The results enable to validate the methodology and establish baseline information of the condition of the structure along with performance standards that will serve to control the structural integrity over time.
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Fekrmandi, Hadi. "Development of New Structural Health Monitoring Techniques." FIU Digital Commons, 2015. http://digitalcommons.fiu.edu/cgi/viewcontent.cgi?article=2923&context=etd.
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During the past two decades, many researchers have developed methods for the detection of structural defects at the early stages to operate the aerospace vehicles safely and to reduce the operating costs. The Surface Response to Excitation (SuRE) method is one of these approaches developed at FIU to reduce the cost and size of the equipment. The SuRE method excites the surface at a series of frequencies and monitors the propagation characteristics of the generated waves. The amplitude of the waves reaching to any point on the surface varies with frequency; however, it remains consistent as long as the integrity and strain distribution on the part is consistent. These spectral characteristics change when cracks develop or the strain distribution changes. The SHM methods may be used for many applications, from the detection of loose screws to the monitoring of manufacturing operations.
A scanning laser vibrometer was used in this study to investigate the characteristics of the spectral changes at different points on the parts. The study started with detecting a load on a plate and estimating its location. The modifications on the part with manufacturing operations were detected and the Part-Based Manufacturing Process Performance Monitoring (PbPPM) method was developed. Hardware was prepared to demonstrate the feasibility of the proposed methods in real time.
Using low-cost piezoelectric elements and the non-contact scanning laser vibrometer successfully, the data was collected for the SuRE and PbPPM methods. Locational force, loose bolts and material loss could be easily detected by comparing the spectral characteristics of the arriving waves. On-line methods used fast computational methods for estimating the spectrum and detecting the changing operational conditions from sum of the squares of the variations. Neural networks classified the spectrums when the desktop – DSP combination was used. The results demonstrated the feasibility of the SuRE and PbPPM methods.
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Persson, Martin. "A Framework for Monitoring Data from a Smart Home Environment." Thesis, Luleå tekniska universitet, Institutionen för system- och rymdteknik, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-79884.
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This master thesis presents the design and implementation of a framework for monitoringdata related to activities of daily living (ADL) in a smart home environment, conducted for theHuman Health and Activity Laboratory (H2Al) at Luleå University of Technology. The generalaim of such environments is to increase the quality of life by enabling elderly to live longer athome while reducing the consumption of resources necessary. The complexity of collection,filtering and storing of data in smart home environments is however inherent due to oftenmany interworking sensor-systems, which allmay have different APIs and communicationpathways. This means that knowing whether ‘all systems are go’ when for example doing astudy is not easy, especially for persons not trained in data science.This work therefore aim to design and implement a framework for datamonitoring thattargets smart home environments in which activities of daily living are important for analysisof health-related conditions and for the personalised tailoring of interventions. The frameworkprimarily collects data from four selected systems, that for example track the position andmovements of a person. The data is stored in a database and visualised on a website toallow for monitoring of individual sensor data being collected. The framework was validatedtogether with a occupational therapist through a proof-of-concept trial in the Human Healthand Activity Laboratory, for which healthy subjects conducted a typical test (making a salad)used when assessing human performance.In conclusion, the developed framework works as expected, collecting data frommanysensor systems and storing the data in a common format, while the visualisation on a websiteis perceived as giving an easy overview of monitored data. Additional data can easily be addedto the framework and other processes beyond monitoring can be linked to the data, suchas further data refinement and algorithms for activity recognition (possibly using machinelearning techniques). Future work include to better distinguish data from multiple occupants,develop themanagement of synchronous and asynchronous data, and refine the web interfacefor additional simplicity
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Mitchell, Christopher Mark. "A study into the use of digital portable radio networks for patient monitoring within a hospital environment." Thesis, University of Ulster, 1994. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.296402.
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Alla, Ravi Chandar. "Design and Implementation of an analog to digital conversion mechanism for an in-situ monitoring microelectrode SOC." University of Cincinnati / OhioLINK, 2008. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1227042824.
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Vanarse, Anup. "Interfacing of neuromorphic vision, auditory and olfactory sensors with digital neuromorphic circuits." Thesis, Edith Cowan University, Research Online, Perth, Western Australia, 2016. https://ro.ecu.edu.au/theses/1802.
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The conventional Von Neumann architecture imposes strict constraints on the development of intelligent adaptive systems. The requirements of substantial computing power to process and analyse complex data make such an approach impractical to be used in implementing smart systems.
Neuromorphic engineering has produced promising results in applications such as electronic sensing, networking architectures and complex data processing. This interdisciplinary field takes inspiration from neurobiological architecture and emulates these characteristics using analogue Very Large Scale Integration (VLSI). The unconventional approach of exploiting the non-linear current characteristics of transistors has aided in the development of low-power adaptive systems that can be implemented in intelligent systems. The neuromorphic approach is widely applied in electronic sensing, particularly in vision, auditory, tactile and olfactory sensors. While conventional sensors generate a huge amount of redundant output data, neuromorphic sensors implement the biological concept of spike-based output to generate sparse output data that corresponds to a certain sensing event. The operation principle applied in these sensors supports reduced power consumption with operating efficiency comparable to conventional sensors. Although neuromorphic sensors such as Dynamic Vision Sensor (DVS), Dynamic and Active pixel Vision Sensor (DAVIS) and AEREAR2 are steadily expanding their scope of application in real-world systems, the lack of spike-based data processing algorithms and complex interfacing methods restricts its applications in low-cost standalone autonomous systems.
This research addresses the issue of interfacing between neuromorphic sensors and digital neuromorphic circuits. Current interfacing methods of these sensors are dependent on computers for output data processing. This approach restricts the portability of these sensors, limits their application in a standalone system and increases the overall cost of such systems. The proposed methodology simplifies the interfacing of these sensors with digital neuromorphic processors by utilizing AER communication protocols and neuromorphic hardware developed under the Convolution AER Vision Architecture for Real-time (CAVIAR) project. The proposed interface is simulated using a JAVA model that emulates a typical spikebased output of a neuromorphic sensor, in this case an olfactory sensor, and functions that process this data based on supervised learning. The successful implementation of this simulation suggests that the methodology is a practical solution and can be implemented in hardware. The JAVA simulation is compared to a similar model developed in Nengo, a standard large-scale neural simulation tool.
The successful completion of this research contributes towards expanding the scope of application of neuromorphic sensors in standalone intelligent systems. The easy interfacing method proposed in this thesis promotes the portability of these sensors by eliminating the dependency on computers for output data processing. The inclusion of neuromorphic Field Programmable Gate Array (FPGA) board allows reconfiguration and deployment of learning algorithms to implement adaptable systems. These low-power systems can be widely applied in biosecurity and environmental monitoring. With this thesis, we suggest directions for future research in neuromorphic standalone systems based on neuromorphic olfaction.
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Walstra, Jan. "Historical aerial photographs and digital photogrammetry for landslide assessment." Thesis, Loughborough University, 2006. https://dspace.lboro.ac.uk/2134/2501.
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This study demonstrates the value of historical aerial photographs as a source for monitoring long-term landslide evolution, which can be unlocked by using appropriate photogrammetric methods. The understanding of landslide mechanisms requires extensive data records; a literature review identified quantitative data on surface movements as a key element for their analysis. It is generally acknowledged that, owing to the flexibility and high degree of automation of modern digital photogrammetric techniques, it is possible to derive detailed quantitative data from aerial photographs. In spite of the relative ease of such techniques, there is only scarce research available on data quality that can be achieved using commonly available material, hence the motivation of this study. In two landslide case-studies (the Mam Tor and East Pentwyn landslides) the different types of products were explored, that can be derived from historical aerial photographs. These products comprised geomorphological maps, automatically derived elevation models (DEMs) and displacement vectors. They proved to be useful and sufficiently accurate for monitoring landslide evolution. Comparison with independent survey data showed good consistency, hence validating the techniques used. A wide range of imagery was used in terms of quality, media and format. Analysis of the combined datasets resulted in improvements to the stochastic model and establishment of a relationship between image ground resolution and data accuracy. Undetected systematic effects provided a limiting constraint to the accuracy of the derived data, but the datasets proved insufficient to quantify each factor individually. An important advancement in digital photogrammetry is image matching, which allows automation of various stages of the working chain. However, it appeared that the radiometric quality of historical images may not always assure good results, both for extracting DEMs and vectors using automatic methods. It can be concluded that the photographic archive can provide invaluable data for landslide studies, when modern photogrammetric techniques are being used. As ever, independent and appropriate checks should always be included in any photogrammetric design.