Dissertations / Theses on the topic 'Smart monitoring'
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1
Nugroho, Wibowo Harso 1967. "Monitoring of pipeline using smart sensors." Monash University, Dept. of Mechanical Engineering, 2001. http://arrow.monash.edu.au/hdl/1959.1/9236.
2
MELLO, HELCIO BEZERRA DE. "SMART PROXIES: AUTOMATIC MONITORING AND ADAPTATION." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2004. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=5792@1.
Abstract:
CONSELHO NACIONAL DE DESENVOLVIMENTO CIENTÍFICO E TECNOLÓGICONo contexto de aplicações distribuídas, a necessidade de se adaptar a mudanças no ambiente de execução tem se tornado cada vez mais comum. Diversos trabalhos abordam a reconfiguração dinâmica de clientes e servidores em resposta a tais mudanças, inclusive na área da provisão de qualidade de serviço (QoS). Esta dissertação explora o uso da reflexividade em uma arquitetura popular de middleware (CORBA) e emprega ferramentas adicionais para o desenvolvimento de um proxy inteligente. Um dos pontos principais desse proxy é sua simplicidade de uso, pois requer poucos parâmetros para ser instanciado e reage a eventos externos automaticamente. Esse comportamento é obtido pela combinação da flexibilidade do binding LuaOrb com a conveniência das bibliotecas LuaTrading e LuaMonitor; a especificação das propriedades relevantes para a adaptação dinâmica é feita através de descritores simples e de fácil reutilização. Finalmente, este trabalho oferece mecanismos para upload e download de stubs especializados, com o objetivo de executar procedimentos de adaptação mais específicos. Com o objetivo de demonstrar uma possível aplicação para o proxy inteligente, apresentamos seu uso em um jogo simplificado para adaptá-lo automaticamente a eventos de escassez de recursos simulados.
In the context of distributed applications, the need for adapting to changes in the execution environment is growing steadily. Several works deal with dynamic reconfiguration of clients and servers in response to such changes, including situations where provision of Quality of Service (QoS) is concerned. This thesis proposes the use of reflexivity in a popular middleware architecture (CORBA) and other tools to develop a smart proxy. One of its main points is usage simplicity, for the proxy requires few parameters to be instantiated and reacts to external events automatically. That behavior is achieved by combining the flexibility of the LuaOrb binding and the convenience of the LuaTrading and LuaMonitor libraries; the statement of properties relevant to the dynamic adaptation is accomplished by simple and easy-to-reuse descriptors. Finally, this work offers mechanisms to upload and download specialized stubs as to carry out more specific adaptation procedures. In order to demonstrate a possible application of the smart proxy, we present a simple game that employs it to automatically adapt to simulated resource shortage events.
3
Kotb, A. O. "Smart parking : guidance, monitoring and reservations." Thesis, University of Liverpool, 2016. http://livrepository.liverpool.ac.uk/3003435/.
Abstract:
Today, parking is the main coordinator between the land use and transportation. As the urban population is increasing, more and more cars are circulating through the city in search for parking spaces, often contributing to the global problem of traffic congestion. Hence, several governments seek to improve their existing transportation systems and infrastructure. Examples of their initiatives include the launch of ‘Smart Parking’ projects in major urban areas. However, the developments to date in this area have some significant limitations lodged against them. In this dissertation, we propose 3 different smart parking systems: iParker, INDO and RFPark, to enhance the overall parking scheme. First, iParker and INDO are introduced as new parking management and reservations systems. Both change the parking behaviour from driver-side parking searching to system-side allocation. This is achieved by solving new Mixed Integer Linear Programming (MILP) optimisation problems with the objective of minimising driver's cost functions, while ensuring the maximum parking resource utilisation. Nevertheless, there are several differences between iParker and INDO. iParker is designed to operate as a country-wide system to offer drivers the optimal parking lot allocation and reservation before or at arrival to their destinations. This is based on minimising a driver's cost function that combines parking cost, reservation fees, proximity to multiple destinations and reservation type. As opposed to current reservation systems, iParker offers both static long-term reservations and dynamic short-term reservations, for both on-street and off-street parking lots. In addition, new pricing policies are proposed that allow the generation of more parking revenue and the fair distribution of parking traffic across parking lots. However, INDO is designed to operate inside individual parking lots who serve giant buildings - such as shopping malls - to offer the drivers the immediate optimal parking space allocation and the indoor guidance. A driver’s cost function here combines the times of driving inside the parking lot and walking inside the indoor destination. In addition, a Radio Frequency Identification/Near Field Communication (RFID/NFC) based navigation component is developed to provide commuters with guidance and navigation in the car park and the indoor destination. Based on simulation results, compared to the non-guided or the state-of-the-art guidance-based systems, iParker and INDO significantly reduce the average time to find a parking space and the drivers' cost, while the parking resources are more efficiently utilised. The pricing policies of iParker lead to the generation of more revenue and fair balance of traffic load across parking lots. In addition, INDO substantially reduces the commuting time indoors. On the other hand, RFPark is proposed as a new approach to parking monitoring. For the first time, Ultra High Frequency (UHF) passive RFID tags are deployed on the asphalt, and interrogated by RFID reader antennas above the parking spaces to detect the occupancy states. Most of the problems of the current cutting-edge parking occupancy detection systems are not present in this system. RFPark was analysed and implemented to show a pilot study in a real world outdoor parking environment in the University of Liverpool and has proved to have a very high detection accuracy. The innovative design and development of these 3 systems form a new ‘Smart Parking’ solution that offers to reduce the parking-related traffic congestion, enhance driver experience and improve the overall parking scheme. Although there are some challenges regarding the realisation of these smart systems, they are addressed here and solutions to them are proposed in this dissertation.
4
Uddin, Alina, and Julia Anderberg. "Smart Dressing : Towards Digitalized Wound Monitoring." Thesis, Högskolan i Halmstad, Akademin för informationsteknologi, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-45148.
Abstract:
Digitalization of health care is one of the most prioritized areas within the healthcare community. Within chronic wound care, considered the silent epidemic and one of the most expensive and unsolved burdens to the medical system, the next generation of wound dressings with abilities of real-time monitoring has attracted considerable attention. The most frequent complication in a chronic wound is infection. Infection in chronic wounds not detected in time can lead to amputation of limbs or even death. Real-time monitoring of chronic wounds gives possibilities to detect infection in early stages and avoids unnecessary wound dressing changes since the change disturbs healing. Here, a prototype of an infection detection dressing has been designed. Flexible and biocompatible sensors for wound temperature and wound pH level has been used. Measured values are transmitted via Bluetooth to an Android smartphone Application where measured values are displayed together with a Wound Status Bar. Based on the Arduino Nano electronics platform, the system connects to the smartphone application, measures and displays measured values, and the wound status bar responds correctly to changes in the measured values. The prototype developed highlights questions that need to be solved when moving into the next generation of real-time monitoring wound dressings.Digitalisering av sjukvården är ett av de mest prioriterade området inom den medicinska utvecklingen. Inom området behandling av kroniska sår, som anses vara en dold sjukdom och är en av den mest kostsamma och olösta bördan inom sjukvården, har utvecklingen av nästa generations sårförband som ska övervaka ett kroniskt sår i realtid uppmärksammats och skapat ett stort intresse. Den mest vanliga komplikationen i ett kroniskt sår är att såret blir infekterat. Om en infektion i ett sår inte blir upptäckt och behandlat i tid kan det leda till amputering av lemmar och till och med död. Med ett real-tids övervakande förband kan en infektion upptäckas i tid men kan även förhindra onödiga byten av förband då även förbandsbyten påverkar det kroniska sårets läkning. Genom att integrera flexibla och biokompatibla sensorer i ett förband som mäter temperatur och pH-värde i såret, och sedan skicka sensor data via Bluetooth till en Android applikation där data visuellt visas, har en prototyp av en infektions detekterande enhet utvecklats. Projektet resulterade i ett system där sensorerna och en Bluetooth modul kopplades till en Arduino Nano. Sensor data skickas via Bluetooth till en Android applikation där mätvärdena visas och även en indikator som uppdateras beroende på ändringar i sårets status. Framtagningen av protypen har genererat viktiga frågeställningar att överväga när nästa generations real-tids övervakande förband ska utvecklas.
5
Possanzini, Luca <1993>. "Smart Textile Sensors for Healthcare Monitoring." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2022. http://amsdottorato.unibo.it/10302/1/tesiPhD_LP.pdf.
Abstract:
Wearable electronic textiles are an emerging research field playing a pivotal role among several different technological areas such as sensing, communication, clothing, health monitoring, information technology, and microsystems. The possibility to realise a fully-textile platform, endowed with various sensors directly realised with textile fibres and fabric, represents a new challenge for the entire research community.
Among several high-performing materials, the intrinsically conductive poly(3,4-ethylenedioxythiophene) (PEDOT), doped with poly(styrenesulfonic acid) (PSS), or PEDOT:PSS, is one of the most representative and utilised, having an excellent chemical and thermal stability, as well as reversible doping state and high conductivity.
This work relies on PEDOT:PSS combined with sensible materials to design, realise, and develop textile chemical and physical sensors. In particular, chloride concentration and pH level sensors in human sweat for continuous monitoring of the wearer's hydration status and stress level are reported. Additionally, a prototype smart bandage detecting the moisture level and pH value of a bed wound to allow the remote monitoring of the healing process of severe and chronic wounds is described. Physical sensors used to monitor the pressure distribution for rehabilitation, workplace safety, or sport tracking are also presented together with a novel fully-textile device able to measure the incident X-ray dose for medical or security applications where thin, comfortable, and flexible features are essential. Finally, a proof-of-concept for an organic-inorganic textile thermoelectric generator that harvests energy directly from body heat has been proposed.
Though further efforts must be dedicated to overcome issues such as durability, washability, power consumption, and large-scale production, the novel, versatile, and widely encompassing area of electronic textiles is a promising protagonist in the upcoming technological revolution.
6
Iong, Kuoc-Vai. "Smart structure integrity monitoring using transient response." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp04/mq26332.pdf.
7
GuzmaÌn, JesuÌs GarciÌa. "Smart ratiometric ASIC chip for VOC monitoring." Thesis, University of Warwick, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.422141.
8
Ogawa, Mami Jennifer. "Monitoring and evaluation of smart motorway schemes." Thesis, University of Southampton, 2017. https://eprints.soton.ac.uk/413955/.
Abstract:
Smart motorway schemes aim to address congestion issues and improve journey time reliability by utilising a set of advanced Intelligent Transport Systems applications and making use of the existing road space as much as possible. The M42 Smart Motorway Pilot, introduced in September 2006 by the Highways Agency (known as Highways England since April 2015), established the concept of Hard Shoulder Running (HSR) for the first time in the UK, together with variable mandatory speed limits during periods of congestion. Following the success of the Pilot, smart motorways are being rolled-out to other sections of Highways England’s strategic road network. This research has been carried out to understand the performance of smart motorways and its limiting factors. A review of the concept of highways capacity was carried out to understand the parameters that influence traffic conditions during smart motorway operations. This was followed by a series of analysis using empirical data which examined the performance of existing smart motorways schemes on the M42 and M6 motorways near Birmingham, UK. Overall, smart motorway schemes have significantly reduced average journey times and journey time variability, improved motorway capacity and smoothed traffic flow. The level of benefits observed varied from one scheme to another mainly due to the different site conditions (road geometry, traffic demand and patterns). However, each scheme consistently demonstrated considerable improvements when compared to non-smart motorway conditions. One of the aims of smart motorways is to improve the distribution of traffic between lanes. Examination of the data showed that hard shoulder utilisation increased with traffic demand, however, it was potentially underutilised and influenced by the proportion of traffic leaving at the next junction. A multivariate analysis was carried out to establish a model which described motorway capacity during smart motorway operations using various traffic parameters. The findings from this research can be applied to assist in the application of smart motorways both in and outside of the UK, to reduce wasted time for commuters, business trips and freight movement. It is recommended that the study is taken further with the newly introduced smart motorway schemes, which will include additional parameters such as local physical characteristics of the road (e.g. width, gradient, curvature) and the operation of All Lane Running.
9
Storozhev, Dmitry Leonidovich. "Smart Rotating Machines for Structural Health Monitoring." Cleveland State University / OhioLINK, 2009. http://rave.ohiolink.edu/etdc/view?acc_num=csu1262724991.
10
Erasmus, Zenville. "Smart renewable energy : architectures, dimensioning and monitoring." Thesis, University of the Western Cape, 2017. http://hdl.handle.net/11394/5525.
Abstract:
>Magister Scientiae - MScThe Smart Renewable Energy project at the University of The Western Cape, under the guidance of the Intelligent Systems and Advanced Telecommunication (ISAT) group, aims at developing a dynamic system that enables users to (1) design smart architectures for next generation wind and solar systems to meet African power challenges (2) use these architectures to dimension the underlying solar and wind power systems and (3) simulate, implement and evaluate the performance of such power systems. The project's existing web and mobile monitoring system will undergo a much needed upgrade to cater for monitoring of the existing system's environmental and battery bank parameters. This will be implemented by allowing users to monitor input, storage and output trends over various time frames. These time frames would include hourly, daily, weekly and monthly readings. The visual evaluation of the system will be generated by mathematical, statistical and machine learning techniques. Trends will be discovered that will allow users to optimize the system's efficiency and their usage patterns. The accompanied dimensioning system will allow users to cater for their needs in a two way fashion. Users will be able to specify the number of devices that they want to run from a solar or wind based system and their power needs will be generated. They will also be able to determine what a given system is capable of producing and the number of devices that can be used simultaneously, as a result.
National Research Foundation (NRF) and Namibia Students Financial Assistance Fund (NSFAF)
11
ILIE, Ana Maria Carmen. "Smart Sensor Technology for Environmental Monitoring Applications." Doctoral thesis, Università degli studi di Ferrara, 2018. http://hdl.handle.net/11392/2487882.
Abstract:
Research Project focused on developing innovative devices using the low-cost sensors to obtain the concentrations of greenhouse gases (GHGs) such as carbon dioxide (CO2) and methane (CH4) as well as obtain a good water quality as a 2nd treatment in the Wastewater Treatment Plant. In addition to sensor calibration, the multi-parameter monitor prototype were tested in several contexts: a) Laboratory scale with natural soil columns, to figure out the sensor response under controlled conditions, calibration and validation; b) Field scale in many geological contexts, for Air-Soil quality (methane and carbon dioxide measurements): Natural Gas Storage Site in Minerbio, Italy; Drilling and Hydraulic Fracturing activities in Greeley, CO, USA; for Water Quality: Wastewater Treatment Plant in Algarve, Portugal. The monitoring system provided a huge set of data for which can be used statistical analysis, management and processing (Big DATA). The source identification of greenhouse gas emissions is identified in several IPCC reports that climate change is the major emergency for the socio / economic / environmental equilibrium of Earth planet. No outliers were identified as methane gas concentrations at Minerbio gas storage site, Italy and at Hydraulic activities in Greeley, Colorado. The soil column experiments for infiltration basins in the Wastewater treatment plant in Algarve, Portugal, gave us good results, the water quality was improved after the 2nd treatment. The low-cost sensors (gas – water) gave as a good calibration and validation with r2 coefficient of correlation of 0.70 – 0.96.Il progetto di ricerca si è concentrato sullo sviluppo di dispositivi innovativi utilizzando i sensori a basso costo per ottenere le concentrazioni di gas (GHG) quali anidride carbonica (CO2) e metano (CH4) e ottenere una buona qualità dell'acqua come secondo trattamento nelle acque reflue nell’impianto di trattamento. Oltre alla calibrazione del sensore, il prototipo di monitoraggio multiparametro è stato testato in diversi contesti: a) Nel laboratorio con colonne di terreno naturali, suoli, per determinare la risposta del sensore in condizioni controllate, calibrazione e validazione; b) Scala di campo in molti contesti geologici, per la qualità Aria-suolo (misure di metano e anidride carbonica, radon) nel sito di stoccaggio di gas naturale a Minerbio, Italia; Attività di perforazione e fratturazione idraulica in Greeley, Colorado, USA; per la qualità dell'acqua: impianto di trattamento delle acque reflue in Algarve, Portogallo. Il sistema di monitoraggio ha fornito un enorme set di dati per i quali è stato possibile utilizzare analisi statistiche, gestione ed elaborazione (Big DATA). L'identificazione della fonte delle emissioni di gas è stata identificata in diversi rapporti dell'IPCC secondo cui i cambiamenti climatici rappresentano l'emergenza principale per l'equilibrio socio / economico / ambientale del pianeta Terra. Non sono stati identificati valori anomali come concentrazioni di gas metano nel sito di stoccaggio di Minerbio (Italia) e nelle attività di perforazione in Greeley, Colorado, USA. Gli esperimenti con la colonna di terreno per i bacini di infiltrazione nell'impianto di trattamento delle acque reflue in Algarve, in Portogallo, ci hanno dato buoni risultati, la qualità dell'acqua è stata migliorata dopo il 2 ° trattamento. I sensori a basso costo (gas - acqua) per la qualita’ dell’aria e del suolo, hanno fornito una buona calibrazione e validazione con coefficiente di correlazione r2 di 0,70 - 0,96.
12
Baig, Mirza Mansoor. "Smart monitoring systems for alert generation during anaesthesia." AUT University, 2010. http://hdl.handle.net/10292/961.
Abstract:
Man has a limited ability to accurately and continuously analyse large amounts of data. Observers are typically required to monitor displays over extended periods and to execute overt detection responses to the appearance of low probability critical signals. The signals are usually clearly perceivable when observers are alerted to them, but they can be missed in the operating environment. The challenge is to develop a computer application that will accumulate information on a variable, or several variables, over time and identify when the trend in observations has changed. In recent years, there has been a rapid growth in patient monitoring and medical data analysis using decision support systems, smart alarm monitoring systems, expert systems and many other computer aided protocols. The expert systems have the potential to improve clinician performance by accurately executing repetitive tasks, to which humans are ill-suited. Anaesthetists working in the operating theatre are responsible for carrying out a multitude of tasks which requires constant vigilance and thus a need for a smart decision support system has arisen. The decision support tools capable of detecting pathological events can enhance the anaesthetist’s performance by providing alternative diagnostic information. The main goal of this research was to develop a clinically useful diagnostic alarm system using two different techniques for monitoring a pathological event during anaesthesia. Several techniques including fuzzy logic, artificial neural networks, control and monitoring techniques were explored. Firstly, an industrial monitoring system called Supervisory Control and Data Acquisition (SCADA) software is used and implemented in the form of a prototype system called SCADA monitoring system (SMS). The output of the system in detecting hypovolaemia was classified into three levels; mild, moderate and severe using SCADA’s InTouch software. In addition, a new GUI display was developed for direct interaction with the anaesthetists. Secondly, a fuzzy logic monitoring system (FLMS) was developed using the fuzzy logic technique. New diagnostic rules and membership functions (MF) were developed using MATLAB. In addition, fuzzy inference system FIS, adaptive neuro fuzzy inference system ANFIS and clustering techniques were explored for developing the FLMS’s diagnostic modules. The raw physiological patient data acquired from an S/5 monitor were converted to a readable format using the DOMonitor application. The data was filtered, preprocessed, and analysed for detecting anaesthesia related events like hypovolaemia. The accuracy of diagnoses generated by SMS and FLMS was validated by comparing their diagnostic information with the one provided by the anaesthetist for each patient. Kappa-analysis was used for measuring the level of agreement between the anaesthetist’s, SMS’s, and FLMS’s diagnoses. In offline analysis both systems were tested with data from 15 patients. The SMS and FLMS achieved an overall agreement level of 87 and 88 percent respectively. It implies substantial level of agreement between SMS or FLMS and the anaesthetists. These diagnostic alarm systems (SMS and FLMS) have shown that evidence-based expert diagnostic systems can diagnose hypovolaemia, with a substantial degree of accuracy, in anaesthetized patients and could be useful in providing decision support to anaesthetists.
13
Jarque, Antolí Carlos. "The new generation of Smart Home Device : Health Monitoring system for Smart Homes." Thesis, Jönköping University, JTH, Industridesign, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-45220.
Abstract:
This thesis project was conveyed in collaboration with Block Zero, a strategic Design Studio in Malmö, Sweden, with the purpose to design a product that develops a new type of interaction within the Smart Home. This design project will primarily focus on the research, exploration and definition of possible solutions, and the resulting design and development of the final product, a Smart Home Health Hub. From a global perspective, throughout the following document is covered a description of the design process from initial research to the final prototype. The project is defined in this approach and establishes the mentioned principles to guide the execution of the project through a deductive method, synthesising until the final result.
14
Burgas, Nadal Llorenç. "Multivariate statistical modelling and monitoring of smart buildings." Doctoral thesis, Universitat de Girona, 2019. http://hdl.handle.net/10803/669279.
Abstract:
In order to reduce mismatches between real and expected consumption, this thesis explores the use of PCA (Principal Component Analysis) as a modelling tool for buildings. PCA is a statistical technique that allows complex systems to be modelled, and, subsequently, to monitor them to detect abnormal behaviours with respect to the conditions initially modelled. The work in this thesis includes adapting PCA to take full advantage of its potential in buildings. Such adaption is also verified by applying it to various use casesPer tal de reduir els desajustos entre el consum real i l’esperat, en aquesta tesi s’explora l’ús de PCA (les sigles en Angles d’Anàlisi de Components Principals) com a eina de modelat per edificis. PCA és una tècnica estadística que permet modelar sistemes complexes i posteriorment monitoritzar-los per detectar comportaments anòmals respecte a les condicions modelades inicialment. Els treballs d’aquesta tesi inclouen l’adaptació de PCA per poder aprofitar tot el seu potencial en edificis i la verificació de l’adaptació realitzada mitjançant l’aplicació en diversos casos d’ús
15
Peng, Yang. "Smart sensing design for environment monitoring sensor networks." Online access for everyone, 2008. http://www.dissertations.wsu.edu/Thesis/Summer2008/y_peng_072208.pdf.
16
Das, Piyali. "Smart Shoe for Remote Monitoring of Parkinson’s Patients." University of Cincinnati / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1445342741.
17
Peng, Pengfei. "SMARTMON: MONITORING SMART DEVICE STATUS THROUGH NETWORK TRAFFIC." Case Western Reserve University School of Graduate Studies / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=case15928357065871.
18
AIASSA, SIMONE. "Smart Electronic Pen for Continuous Monitoring of Anaesthetics." Doctoral thesis, Politecnico di Torino, 2021. http://hdl.handle.net/11583/2942124.
19
CARTA, DANIELE. "COMPRESSIVE SENSING-BASED METHODOLOGIES FOR SMART GRID MONITORING." Doctoral thesis, Università degli Studi di Cagliari, 2020. http://hdl.handle.net/11584/284451.
Abstract:
Modern distribution networks, commonly known as Smart Grids, will be characterized by strictly requirements in terms of reliability and efficiency of the power supply. This will require a high empowerment in the management of the distribution, and transmission, networks by the system operators.
Problems such as the identification of the prevailing harmonic sources and the fault location are characterized by criticality which must be appropriately taken into account, in order to fully exploit the capabilities of the Smart Grids.
The analysis of both phenomena requires an appropriate monitoring of the networks, which are currently characterized by the availability of a limited number of measurements. This increase the complexity of the analysis of distribution networks, and the necessity of developing ad-hoc algorithms and solutions aimed at supporting the system operators while managing the networks.
In this thesis, Compressive Sensing-based algorithms for detecting the main harmonic polluting sources, and for identifying the location of faults occurring in distribution systems have been presented.
With reference to the identification of the main harmonic sources, two algorithms have been proposed: one for detailed analysis, with reference to a specific harmonic order, and one for more general analysis, which allows to investigate multiple harmonic orders simultaneously. The performed tests have proved how both methodologies are robust with respect to the measurement uncertainties, underlying the different capabilities of the two methods.
Contrarily, the performance of the fault location algorithms are more influenced by the higher uncertainties in measuring the dynamic signals involved during the fault. The analysis performed considering the proper uncertainty scenarios have underlined how the use of modern devices for branch current measurements allow to increase the performance of the fault location algorithms; providing additional information which are useful for locating the fault.
20
Eichinski, Philip. "Smart sampling of environmental audio recordings for biodiversity monitoring." Thesis, Queensland University of Technology, 2018. https://eprints.qut.edu.au/123022/1/Philip_Eichinski_Thesis.pdf.
Abstract:
This thesis contributes to the field of acoustic environmental monitoring by developing novel semiautomated methods of processing long audio recordings to conduct species richness surveys efficiently. These methods allow a machine to select rich subset of the recordings though estimations of acoustic variety, which can then be presented to the human listener for species identifications. This work represents a step towards more effective biodiversity monitoring of vocal species that can be performed at a larger scale than is possible with traditional methods.
21
Turza, Ashley K. "Dense, low-power environmental monitoring for smart energy profiling." Thesis, Massachusetts Institute of Technology, 2010. http://hdl.handle.net/1721.1/60206.
Abstract:
Thesis (S.B.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2010.Cataloged from PDF version of thesis.
Includes bibliographical references (p. 49).
Recent architectural trends have included exploring open space and the extensive use of glass as building material. While the details of these large, light-exposed, open-air environments can be modeled as thermal fluid systems in CFD simulations, the use of dense sensor networks can provide real-time monitoring of a building's airflow and thermal management systems without the need for computationally-intensive theoretical models, and can use this data to inform and advance these models. Sensor networks can provide an accurate picture of the actual conditions of a building and how those conditions can change over time, due to deterioration or external influences. The information gathered from such networks will be critical in determining the energy efficiency of a building. To do this, a sensor network made of two types of sensors, temperature-humidity and airflow, was deployed in the large, glass-enclosed atrium of the recently-completed MIT Media Lab Extension (E14) in late March 2010. Their performance was calibrated, monitored, and the preliminary results analyzed in conjunction with the external weather conditions in the Boston metropolitan area. The results show that while the use of the sensors in monitoring temperature and humidity is successful, the airflow sensors currently require a different solution to solve both the need for low-power consumption and resolution, range, and stability in its measurements.
by Ashley K. Turza.
S.B.
22
Kwasnicki, Richard Mark. "Body sensor networks : smart monitoring solutions after reconstructive surgery." Thesis, Imperial College London, 2014. http://hdl.handle.net/10044/1/26899.
Abstract:
Advances in reconstructive surgery are providing treatment options in the face of major trauma and cancer. Body Sensor Networks (BSN) have the potential to offer smart solutions to a range of clinical challenges. The aim of this thesis was to review the current state of the art devices, then develop and apply bespoke technologies developed by the Hamlyn Centre BSN engineering team supported by the EPSRC ESPRIT programme to deliver post-operative monitoring options for patients undergoing reconstructive surgery. A wireless optical sensor was developed to provide a continuous monitoring solution for free tissue transplants (free flaps). By recording backscattered light from 2 different source wavelengths, we were able to estimate the oxygenation of the superficial microvasculature. In a custom-made upper limb pressure cuff model, forearm deoxygenation measured by our sensor and gold standard equipment showed strong correlations, with incremental reductions in response to increased cuff inflation durations. Such a device might allow early detection of flap failure, optimising the likelihood of flap salvage. An ear-worn activity recognition sensor was utilised to provide a platform capable of facilitating objective assessment of functional mobility. This work evolved from an initial feasibility study in a knee replacement cohort, to a larger clinical trial designed to establish a novel mobility score in patients recovering from open tibial fractures (OTF). The Hamlyn Mobility Score (HMS) assesses mobility over 3 activities of daily living: walking, stair climbing, and standing from a chair. Sensor-derived parameters including variation in both temporal and force aspects of gait were validated to measure differences in performance in line with fracture severity, which also matched questionnaire-based assessments. Monitoring the OTF cohort over 12 months with the HMS allowed functional recovery to be profiled in great detail. Further, a novel finding of continued improvements in walking quality after a plateau in walking quantity was demonstrated objectively. The methods described in this thesis provide an opportunity to revamp the recovery paradigm through continuous, objective patient monitoring along with self-directed, personalised rehabilitation strategies, which has the potential to improve both the quality and cost-effectiveness of reconstructive surgery services.
23
Zoha, Ahmed. "Load disaggregation and monitoring in a smart office space." Thesis, University of Surrey, 2014. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.656311.
Abstract:
Technological advancements in sensing, networking and computation opened up the possibilities .to sense user-centric information to solve many problems such as conservation of energy in commercial buildings. Research on leveraging such capabilities to optimize the energy utilization in a facility or a building is relatively new. The current thesis presents a framework that capitalize on heterogeneous sensing infrastructure present in a smart office space to track operational states of the appliances without the need to deploy energy meter on every device of interest. This study extends techniques from Non-intrusive Load Monitoring (NILM) domain that automates detection of operational appliance activities using aggregated load measurements, by employing sophisticated signal processing and machine learning algorithms. This study also addresses challenges such as the inability of existing methods to accurately localize and characterize state transition events of low-power appliances due to similarity of their power consumption profile. In addition, this study demonstrates how the effectiveness of traditional approaches has been compromised by their ability to recognizing multistate appliance operations due to lack of robust appliance signatures extracted from low-granularity power measurements. As a result, this study explores event detection and characterization mechanisms that includes the application of singular spectrum transformation for improved event localization, and extraction of new features to enhance class discrimination between target appliances. In addition, it proposes a multi-modal event characterization framework to deal with appliance classes that exhibit ambiguous overlap of power signatures in a feature space. The aim is to create a unified hybrid space by characterizing the power and acoustic profile of appliances and optimally combine them using kernel-based feature fusion strategy. The study demonstrates how the proposed system can better distinguish between appliances of different categories in this new feature space and consequently achieves a higher appliance state estimation accuracy. To evaluate the suitability of non event-based models for load disaggregation, a specialized variant of the hidden Markov model (HMM) known as factorial HMM is investigated for inferring appliance states based on aggregated load measurements. To demonstrate this approach in the real world, a mobile phone application was developed and evaluated in actual practice. In addition to load disaggregation, an interrelated challenge is to identify abnormal or unusual consumption patterns within specific energy measurements. Due to the high volume and noise content of sensor readings, data compression and appropriate feature representations were essential for effective analysis of energy measurements. To address these challenges, this study proposes an anomalous load pattern detection framework that performs wavelet approximation of electrical load curves, and further reduces their dimensionality using the classical multidimensional scaling method (CMDS). Results showed that the low-dimensional projection of features prior to performing anomaly detection effectively isolate the anomalous patterns and as a result improves the performance of target anomaly detection models.
24
Chaudhuri, Nilanjan Ray. "Wide-area monitoring and control of future smart grids." Thesis, Imperial College London, 2011. http://hdl.handle.net/10044/1/7026.
Abstract:
Application of wide-area monitoring and control for future smart grids with substantial wind penetration and advanced network control options through FACTS and HVDC (both point-to-point and multi-terminal) is the subject matter of this thesis. For wide-area monitoring, a novel technique is proposed to characterize the system dynamic response in near real-time in terms of not only damping and frequency but also mode-shape, the latter being critical for corrective control action. Real-time simulation in Opal-RT is carried out to illustrate the effectiveness and practical feasibility of the proposed approach. Potential problem with wide-area closed-loop continuous control using FACTS devices due to continuously time-varying latency is addressed through the proposed modification of the traditional phasor POD concept introduced by ABB. Adverse impact of limited bandwidth availability due to networked communication is established and a solution using an observer at the PMU location has been demonstrated. Impact of wind penetration on the system dynamic performance has been analyzed along with effectiveness of damping control through proper coordination of wind farms and HVDC links. For multi-terminal HVDC (MTDC) grids the critical issue of autonomous power sharing among the converter stations following a contingency (e.g. converter outage) is addressed. Use of a power-voltage droop in the DC link voltage control loops using remote voltage feedback is shown to yield proper distribution of power mismatch according to the converter ratings while use of local voltages turns out to be unsatisfactory. A novel scheme for adapting the droop coefficients to share the burden according to the available headroom of each converter station is also studied. The effectiveness of the proposed approaches is illustrated through detailed frequency domain analysis and extensive time-domain simulation results on different test systems.
25
Chung, Howard Jenn Yee. "Towards a Self-Powered Structural Health Monitoring Smart Tire." Thesis, Virginia Tech, 2016. http://hdl.handle.net/10919/71375.
Abstract:
This work investigates the feasibility of developing a self-powered structural health monitoring (SHM) smart tire using piezoelectric materials. While this work is divided into two components: SHM and energy harvesting, the context of smart tire in this work is defined as the development of a SHM system that (i) has self-powering capabilities, and (ii) addresses the potential of embedding sensors. The use of impedance based SHM on a tire is severely limited due to the low stiffness and high damping characteristics of the tire. This work propose the use of a high voltage impedance analyzer, and the addition of electrical circuit to enhance the damage detection process. Experimental work was conducted on an aluminum beam and on a tire section with commercially available piezoelectric sensors. The use of a high voltage impedance analyzer was demonstrated to provide insight on damage type and damage location. Two sensors were connected in parallel as an effective sensory system, and was shown to reduce interrogation time, but reduce damage identification sensitivity. With added electrical circuits, a belt separation on the tire was successfully detected by the shift in electrical impedance signature. For the energy harvesting portion of this work, a bimorph piezoelectric energy harvester model was derived using extended Hamilton's principle and the linear constitutive relations of piezoelectric materials. Comparison of model with experimental data at increasing loading conditions demonstrated the monotonic increase in voltage output, with linear asymptotes at extreme loading conditions (short-circuit and open-circuit). It also demonstrated the existence of an optimal resistive load for maximum power output. To address the ability to embed sensors, an existing fabrication process to grow arrays of ZnO nanowires in carbon fiber reinforced polymer was used in this work. Comparison of power generation from a composite beam with ZnO nanowires with a composite beam without ZnO nanowires demonstrated the power generation capabilities of the nanowires. A maximum peak voltage of 8.91 mV and peak power of 33.3 pW was obtained. After the application of 10V DC, a maximum of 45 pW was obtained. However, subsequent application of 20V DC reduced the maximum peak power output to 2.5 pW. Several attempts to increase power generation including adding a tip mass and changing the geometry of the composite beam were conducted. Finally, the theoretical voltage frequency response function obtained from the theoretical piezoelectric constant and dielectric constant of a single ZnO nanowire were compared to the experimental voltage frequency response function. The discrepancies were discussed.Master of Science
26
Jazavac, Nedim, and Hikmat Tatari. "IoT-based air pollution monitoring system for smart villages." Thesis, Högskolan Kristianstad, Fakulteten för naturvetenskap, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:hkr:diva-21952.
Abstract:
Air pollution is a global issue which has negative impacts not only on the environment but also on human health. Therefore, it is important to design and implement systems to allow cities and villages to monitor air quality so that they take the required actions to maintain a good air quality in the city/village. Since IoT facilitates implementing efficient monitoring systems, many IoT systems have been proposed to monitor air pollution. In this paper, we review different IoT-based systems to monitor air quality. In addition, we do an experiment where we propose and evaluate our system to monitor air pollution in a smart village, Veberöd, utilizing the LoRaWAN and the IoT platform, Yggio, which is already used in the village. Our proposed system is used to monitor temperature, humidity, pressure, PM1, PM2.5, PM10, CO2, and CO. As a result of our experiment, we found that the data received by Yggio was encoded, and Yggio did not provide the decoding functionality to decode the data sent from our devices. Therefore, another IoT platforms were used to decode, visualize, and analyse the data. The results of the experiments shows that as far as PM1, PM2.5, PM10, and CO are concerned, the air quality in the village is good. The results also showed that some LoRaWAN messages were lost and never received on Yggio.
27
Badcock, Rodney Alan. "Optical fibre sensors for structural stain monitoring." Thesis, Brunel University, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.389265.
28
Hota, Sandilya. "Development and evaluation of smart materials for structural health monitoring." Morgantown, W. Va. : [West Virginia University Libraries], 2006. https://eidr.wvu.edu/etd/documentdata.eTD?documentid=4470.
Abstract:
Thesis (M.S.)--West Virginia University, 2006.Title from document title page. Document formatted into pages; contains xi, 87 p. : ill. (some col.). Includes abstract. Includes bibliographical references (p. 86-87).
29
Chalmers, C. "Adaptive health monitoring using aggregated energy readings from smart meters." Thesis, Liverpool John Moores University, 2017. http://researchonline.ljmu.ac.uk/7543/.
Abstract:
Worldwide, the number of people living with self-limiting conditions, such as Dementia, Parkinson’s disease and depression, is increasing. The resulting strain on healthcare resources means that providing 24-hour monitoring for patients is a challenge. As this problem escalates, caring for an ageing population will become more demanding over the next decade, and the need for new, innovative and cost effective home monitoring technologies are now urgently required. The research presented in this thesis directly proposes an alternative and cost effective method for supporting independent living that offers enhancements for Early Intervention Practices (EIP). In the UK, a national roll out of smart meters is underway. Energy suppliers will install and configure over 50 million smart meters by 2020. The UK is not alone in this effort. In other countries such as Italy and the USA, large scale deployment of smart meters is in progress. These devices enable detailed around-the-clock monitoring of energy usage. Specifically, each smart meter records accurately the electrical load for a given property at 10 second intervals, 24 hours a day. This granular data captures detailed habits and routines through user interactions with electrical devices. The research presented in this thesis exploits this infrastructure by using a novel approach that addresses the limitations associated with current Ambient Assistive Living technologies. By applying a novel load disaggregation technique and leveraging both machine learning and cloud computing infrastructure, a comprehensive, nonintrusive and personalised solution is achieved. This is accomplished by correlating the detection of individual electrical appliances and correlating them with an individual’s Activities of Daily Living. By utilising a random decision forest, the system is able to detect the use of 5 appliance types from an aggregated load environment with an accuracy of 96%. By presenting the results as vectors to a second classifier both normal and abnormal patient behaviour is detected with an accuracy of 92.64% and a mean squared error rate of 0.0736 using a random decision forest. The approach presented in this thesis is validated through a comprehensive patient trial, which demonstrates that the detection of both normal and abnormal patient behaviour is possible.
30
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.
Abstract:
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
31
Alexander, Craig. "The development of smart sensors for aquatic water quality monitoring." Thesis, University of Manchester, 2014. https://www.research.manchester.ac.uk/portal/en/theses/the-development-of-smart-sensors-for-aquatic-water-quality-monitoring(00b54484-63c6-41b5-bdf8-0afe75d72e28).html.
Abstract:
The focus of this project was to investigate the use of interdigitated electrodes (IDEs) as impedimetric ion-selective chemical sensors for the determination of several important analytes found within a freshwater aquarium. The overall aim of this research was to work towards a prototype sensing device that could eventually be developed into a commercial product for sale to aquarium owners. Polyvinyl chloride and sol-gels containing commercially-available ionophores for four aquarium-significant ions (NH4+, NO2-, NO3- and pH) were prepared and investigated for use within polymeric ion-selective membranes. Three separate IDE transducers were produced using either photolithography or screen-printing microfabrication techniques. A sinusoidal voltage was applied to the IDEs and an LCR meter was used to measure changes in the conductance and capacitance of the ion-selective membrane layer deposited over the electrode digits. Each ionophore, when tested within potentiometric ion-selective electrodes (ISEs), was found to be suitable for further investigation within IDE devices. Sol-gels were investigated as a potential membrane material for a coated wire electrode; however, poor response characteristics were observed. An IDE sensor fabricated in-house using lift-off photolithography and spin-coated with a polymeric membrane was found to produce non-selective responses caused by changes in the conductivity of the test solution. IDE devices with reduced geometric parameters were purchased and coated with a selective polymeric membrane. When the membrane was spin-coated, non-selective responses were observed; therefore, drop-coating of the membrane material was investigated. This initially resulted in an unacceptably long response time; however, this effect was reduced by decreasing the membrane solution viscosity prior to drop-coating. A fully-screen printed carbon IDE device was fabricated by incorporating the ionophore into a support matrix based on a commercial dielectric paste. Matrix interferences to the sensor response were reduced by printing ‘build-up’ layers over the sensing area prior to the ion-selective membrane. Two novel routes for monitoring the water quality of an aquarium, using IDE sensors fabricated by either photolithography or screen-printing, have been demonstrated. Due to the commercial aspect of this project, it is important to consider the final cost of producing these sensors. Both of the techniques used to produce ion-selective sensors require further experimentation to optimise the sensor response, prior to integration within a multi-analyte sensing prototype.
32
Ali, Emad [Verfasser]. "Self-Learning Condition Monitoring for Smart Electrohydraulic Drives / Emad Ali." Düren : Shaker, 2020. http://d-nb.info/1211931129/34.
33
Giarola, Enrico. "Distributed Monitoring for User Localization and Profiling in Smart Environment." Doctoral thesis, Università degli studi di Trento, 2018. https://hdl.handle.net/11572/368899.
Abstract:
The study of the next-generation distributed systems for distributed monitoring and user localization in smart environment is treated in this thesis. In the last years, a growing amount of attention has been focused on the adoption of Wireless Sersor Networks (WSN) as a scalable and flexible backbone to implement innovative services in smart environments, like smart building and smart cities. In this framework, this thesis will describe heterogeneous solutions to improve the supervision, control, monitoring, and management of public and private spaces. All these systems exploit the wireless communication and sensing in combination with smart methodologies to provide advanced services to the end user in many application fields, from environmental monitoring to energy management in smart districts or private and public buildings, up to road security and indoor occupancy for management and security reason. The data acquired by the WSN technology are used as input of customized strategies and algorithms developed for the real-time processing, fast analysis and result visualization.
34
CHUANG, YAU-YI, and 莊曜翼. "APP Smart Home Monitoring." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/futrxm.
Abstract:
碩士南開科技大學
車輛與機電產業研究所
105
In modern days, we gradually enter a intellectualized society. People are able to live in convenience. However, many dangers pop out; for example, news frequently report about carbon monoxide poisoning, robbers breaking into doors and electric wire causing fire. The design work in this article aims to improve and upgrade the quality of home life as well as saving energy. Due to the fact that smart portable devices become more common nowadays, this design work can let users conveniently use APP software of smart portable devices to control. The device uses the concept of Internet of Things(IoT), WiFi, Bluetooth and Zigbee wireless transmission. Moreover, it also applies Arduion development version and using peripheral components of smoke module, magnetic spring switch, temperature humidity module, home controlling appliances in order to let users detect and monitor data instantly through smart portable devices. With these functions, we get to know the situations in home at anytime and anywhere. The design also allows users to adjust the indoor environment immediately, even if the users aren't at home, making the device more humanized.
35
Leou, Li-Min, and 柳力民. "Smart Elevator Monitoring System." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/56411019177599422353.
Abstract:
碩士大同大學
資訊工程學系(所)
101
Elevator surveillance systems currently on the market are mostly closed system. They are non-IP-based, expensive, uneasy to use, and could not be integrated with existing computer network. On the other hand, IP-based camera for simple video communication could not do real-time surveillance when security problem exists.. Even real-time detection by people, we could not promise thers is no human negligence which cause the situation not remedied. Our proposed intelligent video processing technology using Android library could read real-time capture image from camera, encode and transmit it. Before transmission, we could detect the image if any changes or not. If it is static, we will not transmit it to save the network traffic. With OpenCV library, we can do many image processing, like people recognition to archive people counting, to know the elevator is overload or not, or detect people are doing dangerous actions or not. Using computer automation software, we could resolve traditional monitoring which requires a lot of manpower. According to the experiments, we found the net flow of Spydroid almost in 200KB/S, no matter we set the different resolution or FPS, not like our system, from 55KB/S to 470KB/S, have a significant change. We can reduce the network flow when there is no change in video, down to 0KB/S, but we didn’t find any mechanism in Spydroid. We also test muti-client cause problem to system or not, and confirm our system still work.
36
LIN, GUANG-YU, and 林廣育. "Smart Gardener Monitoring System." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/46qjsd.
Abstract:
碩士高苑科技大學
電機工程研究所
107
This research design smart gardener monitoring system combined with fixed-point smart monitoring and mobile phone application to control unmanned vehicles, with Arduino integrated system to control the track wheel type of jaw-mounted aluminum alloy carrier to achieve remote monitoring of unmanned vehicles, achieving mobility Better monitoring management. Connect to the Wi-Fi via the mobile app (APP) to control the unmanned vehicle to reach a specific greenhouse area to adjust the area and collect data so that the monitor can check for anomalies. The monitoring scope includes detecting whether the temperature and humidity of each area need to be adjusted to the optimal value and the soil moisture of each area is replenished according to the required humidity; the sensing facilities include a soil moisture sensor, a temperature and humidity sensor, a photographic camera, and Pump motor, servo motor. The unmanned vehicle has a photographic camera that can instantly display the monitoring screen so that the remote operator knows the planting situation in the area, allowing the operator to manually adjust the value of the area to achieve better temperature and humidity and moisture regulation.
37
Yu, Fure-Shiuan, and 余福軒. "Smart Home Monitoring Robot System." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/ytz53y.
Abstract:
碩士龍華科技大學
電機工程系碩士班
107
Today's society is an era of technological advancement, People's requirements for the quality of life are gradually increasing, and the safety of the home environment and the convenience of life are getting more and more attention.Smart home is one of the hot topics and major development directions. With the development of the Internet and the popularity of smart phones, the Internet of Things has become the main core technology of smart homes, and home security is the most important. In daily life, there are unexpected situations such as gas that is undetectable and harmful to the human body, environmental changes, and invasion by outsiders. There are also a variety of gas detection and anti-theft monitoring devices on the market, but most of them are single functions. Therefore, this paper provides a smart home monitoring robot system that combines gas, environmental sensing and image monitoring into one, and uses a wheeled robot as a vehicle to connect the Bluetooth with a smart phone to control the system.This system can move in the home environment, effectively expand the scope of image monitoring, complement the dead angle that the fixed camera can not capture, and form a multifunctional and convenient home monitoring system. This paper uses Arduino mega2560 as the control core, and installs carbon monoxide sensor, temperature and humidity sensor, camera and Bluetooth module to detect whether the carbon monoxide content, temperature and humidity in the home are too high, and display data and images. Inform users on the Android smartphone screen to prevent dangers in advance and provide a comfortable and safe living environment
38
Nagayama, Tomonori. "Structural Health Monitoring using smart sensors /." 2007. http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqdiss&rft_dat=xri:pqdiss:3269988.
Abstract:
Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2007.Source: Dissertation Abstracts International, Volume: 68-07, Section: B, page: 4677. Adviser: B. F. Spencer, Jr. Includes bibliographical references (leaves 244-258) Available on microfilm from Pro Quest Information and Learning.
39
Verijenko, Belinda-Lee. "Smart materials for structural health monitoring." Thesis, 2003. http://hdl.handle.net/10413/4154.
Abstract:
A new philosophy in structural health monitoring was explored, with the view to the creation of a smart mining bolt: one which would bear the normal load of any bolt used in South African gold mining tunnels, but at the same time be capable of monitoring its own level of damage. To this end, a survey of various smart materials currently used in structural health monitoring applications, was conducted, and a group known as strain memory alloys isolated as holding the most promise in this regard. Strain memory alloys give an indication of peak strain based on an irreversible transformation from paramagnetic austenite to ferromagnetic martensite, which occurs in direct proportion to the amount of strain experienced by the material. A measurement of magnetic permeability can therefore be correlated to peak strain. An extensive study of the alloying chemistry, material processing and transformation characteristics was therefore carried out, including an analytical model for the quantification of the energy associated with martensitic nucleation, at a dislocation-disclination level. The conditions within typical South African gold mining tunnels were evaluated, and a smart mining bolt design produced, based on the loading and environmental conditions present. Several material formulations were then proposed, melted, tested and evaluated against the relevant strength, corrosion and transformation criteria. A suitable material was selected and further tested. A working prototype bolt has been produced, and in situ tests of complete bolts, are scheduled to take place shortly.Thesis (Ph.D.)-University of Natal, Durban, 2003.
40
YANG, MING-TAI, and 楊銘泰. "Mobile Monitoring System of Smart Office." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/88w6y3.
Abstract:
碩士國立高雄大學
電機工程學系碩博士班
105
This study presents the intelligent office monitoring system using the Arduino UNO R3 platform as the main structure. The users can hang the ultrasonic sensor on the screen to measure the distance between the user and the screen. The system also includes the current transformers and temperature/humidity sensors which can be used to measure the electrical status of electrical appliances and the temperature/humidity data，respectively. The above sensors and transformers can transfer the digital data to the Arduino UNO R3 platform，and then they can upload the data to the cloud by wireless network communication module. The users use mobile phone and wireless network to get the information to modify the temperature，humidity，and electrical usage of the office.
41
Al-Ghareeb, Zeid M. "Monitoring and control of smart wells /." 2009. http://pangea.stanford.edu/ERE/db/pereports/record_detail.php?filename=alghareeb09.pdf.
42
LAI, CHENG-CHANG, and 賴振昌. "Internet of Things Smart Monitoring System." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/6b282q.
Abstract:
碩士朝陽科技大學
資訊管理系
106
With the ever-changing technology, electronic products and monitoring applications have increasingly been blended in our daily life, such as the popular fry symbiosis system, plant factory, IoT smart monitoring, electric vehicle system monitoring, and aerial camera, electronic food labels, home care monitoring, electronic bracelets. Obviously, Internet of Things (IoT) which are based on global internet and uses ICT to link physical objects with data has improved the mode of production and life. In the meantime, everyone who cares about food safety and personal health places a very high value on Traceable Agricultural Products (TAP) in order to avoid risk of pesticide residue. In the light of this, the research aims to provide an integrated system that uses IoT combined with pheromones to attract insects. Using the pheromones to capture the insects, this device can detect the weight of the insects by weighing sensor and inform us the number and changes of pest insects. Besides, the designed hardware platform can collect environmental data for comparison at the same time. After the pest information is digitized, the pest index can help farmers achieve the goal of reducing and rational drug use. Therefore, this designed device sufficiently take advantage of IoT to solve the problems arising from the large-scale use of pesticides in Taiwan, and help to save time and effort, becoming more precise, and reducing manpower requirements.
43
HSIEH, JEN-CHIEH, and 謝仁傑. "Aquaculture Smart Real-time Monitoring System." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/22r5fn.
Abstract:
碩士國立高雄第一科技大學
電腦與通訊工程系碩士班
106
In recent years, Consumer consumption has dramatically increased with regard to food safety concerns. In order to reduce the harm more effectively, it has gradually moved towards organic researches that are non-toxic, pesticide-free, and free of antibiotics. Based on these reasons, the Energy Science and Technology Center of the university has completed the research and development program of the "Nontoxic Algal-bacterial Co-production Aquaculture Plant." However, due to cost of dissolved oxygen meter are found to be expansive in the market. Hence, the research results of this thesis used low-cost sensor modules which include ORP modules, PH values, and temperature modules. The Raspberry PI, as a gateway, collects data from a large number of aquaculture ponds and uses regression analysis to process data. The ORP and PH values are converted into dissolved oxygen (DO) and uploaded to the cloud database. The manager can set up various information of the aquaculture pool and Raspberry PI through the management page. Users can also conduct their mobile phone App to monitor remotely, and observed whether the parameters of the water quality exceed the standard. If the set of recommended parameters is exceeded, the user will be alerted through the GCM push system. The concept mentioned by above is to achieve the reduction of cost of both labor and implementation of an automated intelligent real-time monitoring system.
44
Conte, Salvatore. "Smart process monitoring of machining operations." Tesi di dottorato, 2021. http://www.fedoa.unina.it/13463/1/Salvatore_Conte_35.pdf.
Abstract:
The following thesis explores the possibilities to applying artificial intelligence techniques in the field of sensory monitoring in the manufacturing sector. There are several case studies considered in the research activity. The first case studies see the implementation of supervised and unsupervised neural networks to monitoring the condition of a grinding wheel. The monitoring systems have acoustic emission sensors and a piezoelectric sensor capable to measuring electromechanical impedance. The other case study is the use of the bees' algorithm to determine the wear of a tool during the cutting operations of a steel cylinder. A script permits this operation. The script converts the images into a numerical matrix and allows the bees to correctly detect tool wear.
45
YEN, CHUNG-WEI, and 顏仲偉. "A Power Monitoring System for Smart Life." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/uymxb6.
Abstract:
碩士聖約翰科技大學
電機工程系碩士班
104
In recent years, the global climate change caused by greenhouse effect is constantly accompanied by natural disasters; safety of human life is also threatened. Therefore, home electricity management problems are getting attention. How to identify the problem of electrical power waste, to manage electrical power, to easily and efficiently save electrical power, to avoid unnecessary waste of energy, which is the purpose of this paper. Wisdom home design is increasingly common, whether it is image processing, cloud power management, intelligent socket or access control systems, which are designed to improve comfort and convenience of home life, so we developed this system. In this paper, human body infrared sensor is used to detect the position of the body, the information is sent to the control center via ZigBee transmission, then the control center predicts the next position where the user want to go and turns on the appliances at the location. In addition, user can also turn on or turn off the appliances through the man-machine interface of the control center, and the appliances status of whole home are feedback to the control center via ZigBee transmission, too. The current situation of appliances and electrical power consumption can be observed in the control center, allowing the users to view complete data about the electricity situation.
46
Medeiros, Rodrigo Barão de. "Secure monitoring for a secure smart grid." Master's thesis, 2015. http://hdl.handle.net/10451/20391.
Abstract:
Tese de mestrado, Engenharia Informática (Arquitectura, Sistemas e Redes de Computadores), Universidade de Lisboa, Faculdade de Ciências, 2015O crescimento das redes e a necessidade de responder à procura exigida pelo maior número de aplicações e a concomitante utilização de dados, levam a que a monitorização desempenhe um papel fundamental não só para os sistemas de redes actuais mas também na resposta a um crescimento futuro. O sistema de monitorização é uma componente crucial numa rede, suportando muitas funções essenciais como engenharia de tráfego, detecção de anomalias e diagnóstico de desempenho. Um dos requisitos principais para estas soluções avançadas na gestão da rede é a necessidade de precisão na monitorização. Contudo, as técnicas tradicionais de monitorização não estão preparadas para responder a estas necessidades. Um exemplo disso é o SNMP, o protocolo de gestão e monitorização da rede mais usado. O SNMP permite que pedidos sejam feitos aos switches para obter contadores por porto e por interface, e obter estatísticas gerais dos nós da rede. O problema é que muitos dos switches estão limitados aos contadores que agregam o tráfego para todo o switch e para as suas interfaces. Por consequência o SNMP não permite obter estatísticas a uma granularidade maior, por flow, um requisito de muitas aplicações modernas, além de ter problemas de escalabilidade. Protocolos mais recentes, como o Netflow, resolvem o problema de escalabilidade mas as técnicas de amostragem utilizadas trazem consigo outras limitações. As redes definidas por software (Software Defined Networks) têm sido propostas como solução para alguns destes problemas. Numa SDN, o plano de controlo é separado do plano de encaminhamento, centralizando-se a lógica de controlo da rede num controlador que corre num (cluster de) servidor(es). Para tal ser possível, é necessário adicionar-se uma camada de comunicação entre o controlador e os dispositivos, algo feito tradicionalmente através do protocolo OpenFlow. Este protocolo de comunicação permite ao controlador acesso remoto para gestão das tabelas de encaminhamentos dos dispositivos de rede. Este desacoplamento possibilita a centralização lógica do controlo, oferecendo ao controlador uma visão global da rede. Com este novo paradigma de redes surgiu um conjunto avançado de primitivas de monitorização mais sofisticadas, que respondem aos requisitos impostos pelas redes de hoje. Os switches OpenFlow mantem estatísticas de tráfego que podem ser recolhidas pelo controlador SDN a pedido. O controlador pode ainda injectar pacotes na rede, tornando assim possível empregar técnicas de monitorização activa e passiva. Apesar da sua importância como elemento fundamental da infra-estrutura SDN, nenhuma das soluções até agora propostas inclui a segurança como requisito, o que as torna vulneráveis a um conjunto extenso de ataques, inclusive pouco sofisticados. Acreditamos que tais primitivas devem ser resilientes de raiz, assegurando que as medições permaneçam correctas mesmo sob ataque. Esta tese centraliza-se na inclusão da segurança na construção de novas ferramentas de monitorização da rede. Para demonstrar tal necessidade, e justificar a preocupação, realizamos uma avaliação das limitações das técnicas de monitorização comuns demonstrando experimentalmente que elas são vulneráveis a ataques. Para tal, utilizamos o Open-NetMon, um monitor SDN open-source, como alvo principal dos ataques. Apesar de termos usado o OpenNetMon, alguns ataques são mais genéricos, sendo portanto extensíveis a outras plataformas SDN de monitorização.O foco dos ataques foi sobre as duas métricas de uso mais comum para operação e gestão da rede: atraso na rede e taxa de transmissão. Estes ataques foram realizados numa plataforma física e numa virtual. Para os testes na plataforma virtual foi utilizado o emulador Mininet. Para os testes físicos criámos uma testbed composta por switches em hardware da Pica8, com suporte Openflow, e múltiplas maquinas (para o controlador SDN e para os múltiplos hosts). Finalmente, discutimos o impacto que estes ataques podem ter em sistemas críticos. Mais precisamente, usámos uma Smart Grid como estudo de caso. As Smart Grids distinguem-se dos sistemas elétricos actuais pela sua capacidade muito mais sofisticada na monitorização e controlo da rede. Dado a Smart Grid ser um sistema crítico, discutimos algumas soluções de monitorização segura para este tipo de infraestrutura.
Monitoring plays a fundamental role in current network deployments, supporting diverse activities such as traffic engineering, anomaly detection, and performance diagnosis. The Software Defined Networks - a new paradigm in networking - has become an enabler for precise monitoring. In SDN the control plane is separated from the forwarding plane, leading to the logical centralization of the network control in a controller that runs in a (cluster of) server(s). For this purpose, a layer of communication is added between the controller and devices, something traditionally done through the OpenFlow protocol. This communication protocol allows the controller to have remote access to the forwarding tables of network switches. With the advent of SDN an array of advanced monitoring primitives has emerged, exploring the centralized vantage point offered by the controller. Such primitives should be resilient from the ground-up, ensuring a correct view under attack. In this work we intend to demonstrate that security should be a first class citizen when building SDN network monitoring frameworks. To justify this need, we perform a threat assessment on common monitoring techniques and demonstrate experimentally that they are vulnerable to attacks, including relatively unsophisticated ones. This indicates that further work is needed in this area and, with that aim, we include an initial discussion on possible solutions for secure monitoring. We discuss the impact of these attacks on physical systems, more precisely we use a Smart Grid as a study case. Smart Grids differ from the traditional electric system by having an intelligent monitoring capability and network control. As a Smart Grid is a critical system, we discuss several solutions to make the monitoring system secure.
47
Mataloto, Bruno Miguel Gonçalves. "IoT*(Ambisense): Smart environment monitoring using LoRa." Master's thesis, 2019. http://hdl.handle.net/10071/20267.
Abstract:
In this work, IoT* (AmbiSense), we present our developed IoT system as a solution for Building and Energy Management using visualization tools to identify heuristics and create automatic savings. Our developed prototypes communicate using LoRa, one of the latest IoT technologies, and are composed of a set of battery-operated sensors tied to a System on Chip. These sensors acquire environmental data such as temperature, humidity, luminosity, air quality, and also motion.
For small to medium-size buildings where system management is possible, a multiplatform dashboard provides visualization templates with real-time data, allowing to identify patterns and extract heuristics that lead to savings using a set of pre-defined actions or manual intervention. LoBEMS (LoRa Building and Energy Management System), was validated in a kindergarten school during a three-year period. As an outcome, the evaluation of the proposed platform resulted in a 20% energy saving and a major improvement of the environment quality and comfort inside the school.
For larger buildings where system management is not possible, we created a 3D visualization tool, that presents the system collected data and warnings in an interactive model of the building. This scenario was validated at ISCTE-IUL University Campus, where it was necessary to introduce the community interaction to achieve savings.
As a requested application case, our system was also validated at the University Data Center, where the system templates were used to detect anomalies and suggest changes.
Our flexible system approach can easily be deployed to any building facility without requiring large investments or complex system deployments.Nesta dissertação de mestrado, IoT * (AmbiSense), é apresentado um sistema IoT desenvolvido como uma solução para Gestão de Edifícios e Energia recorrendo a ferramentas de visualização para identificar heurísticas e criar poupanças automáticas. Os protótipos desenvolvidos comunicam utilizando LoRa, e são compostos por um conjunto de sensores ligados a um microcontrolador alimentado por bateria. Os sensores adquirem dados como temperatura, humidade, luminosidade, qualidade do ar e movimento. Para edifícios de pequena e média dimensão onde a gestão do sistema é possível, um dashboard fornece templates de visualização com dados em tempo real, permitindo extrair heurísticas, que introduzem poupanças através de um conjunto de ações predefinidas ou intervenção manual. O sistema LoBEMS (LoRa Building and Energy Management System), foi validado numa escola local durante um período de três anos. A avaliação do sistema resultou numa poupança de energia de 20% e uma melhoria significativa da qualidade do ambiente e conforto no interior da escola. Para edifícios de maior dimensão onde a gestão do sistema não é possível, criámos uma ferramenta de visualização 3D, que apresenta os dados e alertas do sistema, num modelo interativo do edifício. Este cenário foi validado no campus do ISCTE-IUL, onde foi necessária a interação da Comunidade para obter poupanças. Foi nos também solicitada uma validação do sistema no centro de dados da Universidade, onde os templates do sistema foram utilizados para detetar anomalias e sugerir alterações. A flexibilidade do sistema permite a sua implementação em qualquer edifício, sem exigir um grande investimento ou implementações complexas.
48
Santos, Catarina Marinho Nogueira dos. "Energy consumption monitoring in a smart campus." Master's thesis, 2018. http://hdl.handle.net/10071/18407.
Abstract:
The increase electricity consumption in developed countries, caused by a larger
number of more powerful and diversified power-connected devices, creates consumption peaks, which lead to the need of integrating new ways to produce,
distribute and consume energy with more efficiency. Also considering the constant increase in fuel prices, the threats of global warming, implications of carbon,
among other emissions from traditional fuels, a growing interest in improving energy efficiency arose.
In this dissertation we present a scalable prototype which can monitor energy, temperature and luminosity, showing real-time data and afterwards with the gather
data, do more specific analysis, allowing for stakeholders to make better informed
decisions, to work towards energy efficiency and sustainability. The developed
prototype, which includes both hardware and software, is based on low cost IoT
devices and LoRa network implementation, to create an appropriate and easily
adapted system to any room in the university.
We demonstrate the chosen devices and all the implementation done, and, also
demonstrate the analysis done with the data gathered during the period of observation, in order to get energy efficiency measures.
This approach towards building energy efficiency services, where context information from locally installed sensors, can be manipulated to identify consumption
patterns and, later, implement actions in a service basis to save energy in a building. Usage of external information, like local maps, building materials, external
weather conditions and room occupancy can be used to improve further saving
actions.O aumento do consumo de eletricidade em países desenvolvidos, causado por um grande número de dispositivos mais potentes e diversificados, cria picos de consumo, que criam uma necessidade de integração de novas formas de produzir, distribuir e consumir energia com mais eficiência. Considerando, também, o aumento constante nos preços dos combustíveis, as ameaças de aquecimento global, as implicações da emissão de carbono, entre outras emissões de combustíveis tradicionais, surgiu um interesse crescente em melhorar a eficiência energética. Nesta dissertação, apresentamos um protótipo escalável, que é capaz de monitorizar energia, temperatura e luminosidade, demonstrando os dados em tempo real e, posteriormente, com os dados recolhidos, podem ser efetuadas análises mais específicas, permitindo que os stakeholders tomem decisões mais informadas, trabalhando para a eficiência energética e sustentabilidade. O protótipo desenvolvido, que inclui tanto hardware como software, é baseado em dispositivos IoT de baixo custo e na implementação da rede LoRa, para criar um sistema apropriado e adaptável a qualquer sala da universidade. São demonstrados os dispositivos escolhidos e toda a implementação feita, e, demonstra-se, também, a análise feita com os dados recolhidos durante o período de observação, para atingir medidas de eficiência energética. Esta abordagem para construir serviços de eficiência energética, onde informações contextual de sensores localmente instalados podem ser manipuladas, para identificar padrões de consumo e, posteriormente, implementar ações de modo a poupar energia no edifício. O uso de informações externas, como mapas locais, materiais de construção, condições externas climáticas e ocupação da sala, pode ser usado para melhorar as ações de poupança.
49
CHENG, YI-CHUNG, and 鄭亦忠. "Smart homecare system for tele-health monitoring." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/60907415200023688063.
Abstract:
碩士明志科技大學
電機工程系碩士班
105
Home-based long-term care is an important policy of the government and the development of "tele-home care (tele-home care, THC)" becomes the main planning directions. The benefit of THC is to assist family caregivers to know seniors physiology and life information through their mobile phones and internet device. THC becomes the important part of preventive medicine because it can reduce the cost of national health insurance and help people stay at home and live as independently as possible. However, the current monitoring systems in Hospital are based on cable connections before. The size of system and power consumption are big and not portable. Hospital monitor systems are unsuitable for the real-time, continuous, long-term monitoring of important parameters in patients at home. This study presents a system which provides the blood pressure monitors, temperature detection and Electrocardiography(ECG) on the Arduino. The measurement data can be delivered to mobile phones through Bluetooth. After the estimation in expert system, phone will immediately send a newsletter to user or user’s family. Clinical trials reveals that the propose system can achieve the 99% accuracy to identify and detect unusual event. This system can provide the convenient, low-cost, real-time interpretation and reduce the resources advantages of medical staff.
50
Hsu, Yu-Hui, and 徐鈺暉. "Study of Smart System for Household Monitoring." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/16340161941735873154.
Abstract:
碩士聖約翰科技大學
電子工程系碩士班
99
Most household supervisor showed only the energy data on the electricity bill to how the energy wasted. However, this power saving approach is not effective enough. The effective power management requires users to understand not only the total power consumption of the household, but also the power consumption of each electric appliance in the household. From the knowledge of how much power wasting of all electric appliances, we can really change the habit for using electric appliance and effectively to avoid wasting power. Based on the power management demands of normal households, this thesis proposed an intelligent household power monitoring system. This system was configure to HT46F49E, which is a flash-type 8-bit MCU produced by Holtek Cop., and ADE7755, a high-precision energy meter IC, to capture and compute energy data. A LCD was attached on the system to show an immediately energy usage statistical information. We could through buttons and select the type of data to display and to know the overall power conservation for saving power. Furthermore, for verifying the accuracy of this system, to compare with other digital power meter is essential. Through examining, we find that the energy supervisor has little error under lower-watt household appliances. Meanwhile, the measurement of power is with less than 0.5 percent margin of error and the measurement of voltage is with less then 1 percent margin of error.