Academic literature on the topic 'Software engineering not elsewhere classified'
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Journal articles on the topic "Software engineering not elsewhere classified"
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Pérez Tadeo, María, Martin Gammell, and Joanne O'Brien. "First Steps towards the Automated Detection of Underwater Vocalisations of Grey Seals (Halichoerus grypus) in the Blasket Islands, Southwest Ireland." Journal of Marine Science and Engineering 11, no. 2 (February 4, 2023): 351. http://dx.doi.org/10.3390/jmse11020351.
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Underwater vocalisations of grey seals (Halichoerus grypus) were recorded by static acoustic monitoring (SM2M, Wildlife Acoustics) in the vicinity of a colony located at White Strand beach on Great Blasket Island, southwest Ireland during the pre-breeding and breeding seasons. Grey seal vocalisations were first classified across nine different categories based on aural and visual characteristics of the spectrograms, providing an acoustic repertoire for grey seals. This classification was further investigated by applying a classification tree analysis, resulting in five of the initial nine groups being selected. Furthermore, a comparison of two common approaches for the detection and extraction of vocalisations from acoustic files was done using the software Raven Pro and PAMGuard. The outputs of this study will present an essential first step towards the development of a protocol for underwater acoustic monitoring of grey seals in Irish waters and elsewhere.
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Idris, Mohd Sobri, and Rozana A. M. Osman. "Structure Refinement Strategy of Li-Based Complex Oxides Using GSAS-EXPGUI Software Package." Advanced Materials Research 795 (September 2013): 479–82. http://dx.doi.org/10.4028/www.scientific.net/amr.795.479.
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This paper discussed refinement strategy that been used to reveal crystallographic properties of lithium-based complex oxides with layered rock salt structure. Rietveld analysis using XRD data was used to determine the amount of interlayer mixing and estimate oxygen contents. The structural model and refinement methodology was controlled and validated initially using a standard sample. Thus, this paper summarized structure refinement strategy that been used to quantify the degree of cation order associated with interlayer mixing and investigate the sensitivity of laboratory XRD data to oxygen non-stoichiometry that recently published elsewhere [.
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Biable, Seblewongel Esseynew, Nuno Manuel Garcia, Dida Midekso, and Nuno Pombo. "Ethical Issues in Software Requirements Engineering." Software 1, no. 1 (February 18, 2022): 31–52. http://dx.doi.org/10.3390/software1010003.
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Context: Ethics have broad applications in different fields of study and different contexts. Like other fields of study, ethics have a significant impact on the decisions made in computing concerning software artifact production and its processes. Hence, in this research, ethics is considered in the context of requirements engineering during the software development process. Objective: The aim of this paper is to discuss the investigation results regarding ethical problems of requirements engineering processes by taking sample software developing companies and exposing existing research gaps. Method: This research uses interviewing, focus group discussions, purposive sampling, and qualitative analysis research methods. Result: This research finds an absence of industry practices, professional responsibility code of conduct standards, and other guidelines within companies when integrating ethical concerns of software during requirements engineering. It also indicates that almost all companies have no identification methods and checking mechanisms for ethical concern considerations. Furthermore, the major identified ethical concerns are classified into six categories as requirements identification problems, quality-related problems, carrying out unpermitted activities, unwillingness to give requirements, knowledge gaps and lack of legal grounds/rules for accountability. Conclusion: From the findings of this research, it can be concluded that, in the case software companies, there is no specific method for identifying ethical concerns. Additionally, there are no standards and guidelines used within the companies. This implies the need to overcome the existing and emerging ethical issues of requirements engineering.
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Teaff, James K., Bobbi Young, and Paul Clements. "Applying Feature‐Based Systems and Software Product Line Engineering in Unclassified and Classified Environments." INCOSE International Symposium 29, no. 1 (July 2019): 269–83. http://dx.doi.org/10.1002/j.2334-5837.2019.00603.x.
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Vorontsova, U. A. "Forming and translating English neologisms in the software engineering field." ТЕНДЕНЦИИ РАЗВИТИЯ НАУКИ И ОБРАЗОВАНИЯ 74, no. 4 (2021): 72–78. http://dx.doi.org/10.18411/lj-06-2021-141.
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The article is devoted to defining the peculiarities and focus of translating English neologisms in the software engineering terminology. As part of the study the role of vocabulary is explored, the features of neologism derivations are classified; the main methods of their interpreting into Russian are examined, the ways of neologism word-building in the software engineering terminology are identified and the most frequent interlingual transformations used in conveying their meaning into Russian are determined. Results of the study reveal that the majority of neologisms are formed predominantly by stem-composition and affixation and the most common method of translating neologisms in the software engineering terminology is the loan-translation, transcription and translation method, grammatical substitutions and descriptive translation.
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MENOLLI, ANDRE, SHEILA REINEHR, and ANDREIA MALUCELLI. "ORGANIZATIONAL LEARNING APPLIED TO SOFTWARE ENGINEERING: A SYSTEMATIC REVIEW." International Journal of Software Engineering and Knowledge Engineering 23, no. 08 (October 2013): 1153–75. http://dx.doi.org/10.1142/s0218194013500356.
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Organizational learning assists the companies to improve significantly their processes by means of experiences reuse, making knowledge accessible to the whole organization. In software engineering it is important that the acquired knowledge is stored and systematically reused. This paper aims to present a systematic review, by identifying in which software engineering areas are the organizational learning studies concentrated, and how the organizational learning concepts are being applied in software engineering. This systematic review identified 2496 papers. After eliminating the duplicate titles and those not related to the review, 1184 papers remained. Applying the exclusion criteria, the number of papers was reduced to 68. These papers were analyzed and classified according to the software engineering areas defined in the SWEBOK, and the main organizational learning theories and techniques. It was observed that many software engineering researches apply organizational learning concepts without being aware of it.
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Martínez-Fernández, Silverio, Justus Bogner, Xavier Franch, Marc Oriol, Julien Siebert, Adam Trendowicz, Anna Maria Vollmer, and Stefan Wagner. "Software Engineering for AI-Based Systems: A Survey." ACM Transactions on Software Engineering and Methodology 31, no. 2 (April 30, 2022): 1–59. http://dx.doi.org/10.1145/3487043.
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AI-based systems are software systems with functionalities enabled by at least one AI component (e.g., for image-, speech-recognition, and autonomous driving). AI-based systems are becoming pervasive in society due to advances in AI. However, there is limited synthesized knowledge on Software Engineering (SE) approaches for building, operating, and maintaining AI-based systems. To collect and analyze state-of-the-art knowledge about SE for AI-based systems, we conducted a systematic mapping study. We considered 248 studies published between January 2010 and March 2020. SE for AI-based systems is an emerging research area, where more than 2/3 of the studies have been published since 2018. The most studied properties of AI-based systems are dependability and safety. We identified multiple SE approaches for AI-based systems, which we classified according to the SWEBOK areas. Studies related to software testing and software quality are very prevalent, while areas like software maintenance seem neglected. Data-related issues are the most recurrent challenges. Our results are valuable for: researchers, to quickly understand the state-of-the-art and learn which topics need more research; practitioners, to learn about the approaches and challenges that SE entails for AI-based systems; and, educators, to bridge the gap among SE and AI in their curricula.
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OSSOWSKI, SASCHA, and ANDREA OMICINI. "Coordination knowledge engineering." Knowledge Engineering Review 17, no. 4 (December 2002): 309–16. http://dx.doi.org/10.1017/s0269888903000596.
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By adopting a structured knowledge-level approach, coordination knowledge can be ascribed to groups (societies) of system components (agents) as a whole, rather than to individuals, in order to effectively rationalise complex patterns of interaction within intelligent (multi-agent) systems. Be it either explicitly represented at the symbol-level or hard-coded within specific coordination algorithms, coordination knowledge is instrumented by a wide and heterogeneous variety of coordination models, abstractions and technologies. Coordination knowledge engineering is then about eliciting, modelling and instrumenting coordination knowledge in a principled and effective manner.In this introductory article, we briefly review two well-known frameworks to conceptualise coordination, then we discuss different dimensions along which coordination models can be classified, and analyse their impact on the design of coordination mechanisms and their supporting coordination knowledge. Finally, we sketch our view on coordination knowledge engineering and introduce the different contributions to this special issue along this line.
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Noor-ul-huda, Muhammad, Samabia Tehsin, Sairam Ahmed, Fuad A. K. Niazi, and Zeerish Murtaza. "Retinal images benchmark for the detection of diabetic retinopathy and clinically significant macular edema (CSME)." Biomedical Engineering / Biomedizinische Technik 64, no. 3 (May 27, 2019): 297–307. http://dx.doi.org/10.1515/bmt-2018-0098.
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Abstract Diabetes mellitus is an enduring disease related with significant morbidity and mortality. The main pathogenesis behind this disease is its numerous micro- and macrovascular complications. In developing countries, diabetic retinopathy (DR) is one of the major sources of vision impairment in working age population. DR has been classified into two categories: proliferative diabetic retinopathy (PDR) and non-proliferative diabetic retinopathy (NPDR). NPDR is further classified into mild, moderate and severe, while PDR is further classified into early PDR, high risk PDR and advanced diabetic eye disease. DR is a disease caused due to high blood glucose levels which result in vision loss or permanent blindness. High-level advancements in the field of bio-medical image processing have speeded up the automated process of disease diagnoses and analysis. Much research has been conducted and computerized systems have been designed to detect and analyze retinal diseases through image processing. Similarly, a number of algorithms have been designed to detect and grade DR by analyzing different symptoms including microaneurysms, soft exudates, hard exudates, cotton wool spots, fibrotic bands, neovascularization on disc (NVD), neovascularization elsewhere (NVE), hemorrhages and tractional bands. The visual examination of the retina is a vital test to diagnose DR-related complications. However, all the DR computer-aided diagnostic systems require a standard dataset for the estimation of their efficiency, performance and accuracy. This research presents a benchmark for the evaluation of computer-based DR diagnostic systems. The existing DR benchmarks are small in size and do not cover all the DR stages and categories. The dataset contains 1445 high-quality fundus photographs of retinal images, acquired over 2 years from the records of the patients who presented to the Department of Ophthalmology, Holy Family Hospital, Rawalpindi. This benchmark provides an evaluation platform for medical image analysis researchers. Furthermore, it provides evaluation data for all the stages of DR.
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Ziari, Hasan, and Mohammed M. Khabiri. "APPLIED GIS SOFTWARE FOR IMPROVING PEDESTRIAN amp;BICYCLE SAFETY." TRANSPORT 20, no. 4 (August 30, 2005): 160–64. http://dx.doi.org/10.3846/16484142.2005.9638014.
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People are important in towns. They are the foundation of the social and economic processes that drive the urban system and sustain the urban fabric. While people spend much of their time inside buildings ‐ at home, at work, and at play ‐ it is the movement of people, whether in vehicles or on foot, that is indicative of the vibrancy of the town. Comfort and safety are important for people movement. The crash data in cities, provinces started with the Traffic Organization of Inner Ministry looking at access management controls on functionally classified streets. Safety is a driving factor in access management and the crash reports are the best indicator of the lack of safe roads. This paper presents the development and findings of crash data from police reports and how they are being used in Geographic Information System (GIS). This tool generates a contour map identifying areas of high crash occurrence determined by crash density and clusters of crashes involving pedestrians or bicyclists. Summary statistics of the selected zones can be generated and displayed in a table or chart form.
Dissertations / Theses on the topic "Software engineering not elsewhere classified"
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Soltani, Hamidreza. "Development and application of real-time and interactive software for complex system." Thesis, University of Central Lancashire, 2016. http://clok.uclan.ac.uk/20443/.
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Soft materials have attracted considerable interest in recent years for predicting the characteristics of phase separation and self-assembly in nanoscale structures. A popular method for demonstrating and simulating the dynamic behaviour of particles (e.g. particle tracking) and to consider effects of simulation parameters is cell dynamic simulation (CDS). This is a cellular computerisation technique that can be used to investigate different aspects of morphological topographies of soft material systems. The acquisition of quantitative data from particles is a critical requirement in order to obtain a better understanding and of characterising their dynamic behaviour. To achieve this objective particle tracking methods considering quantitative data and focusing on different properties and components of particles is essential. Despite the availability of various types of particle tracking used in experimental work, there is no method available to consider uniform computational data. In order to achieve accurate and efficient computational results for cell dynamic simulation method and particle tracking, two factors are essential: computing/calculating time-scale and simulation system size. Consequently, finding available computing algorithms and resources such as sequential algorithm for implementing a complex technique and achieving precise results is critical and rather expensive. Therefore, it is highly desirable to consider a parallel algorithm and programming model to solve time-consuming and massive computational processing issues. Hence, the gaps between the experimental and computational works and solving time consuming for expensive computational calculations need to be filled in order to investigate a uniform computational technique for particle tracking and significant enhancements in speed and execution times. The work presented in this thesis details a new particle tracking method for integrating diblock copolymers in the form of spheres with a shear flow and a novel designed GPU-based parallel acceleration approach to cell dynamic simulation (CDS). In addition, the evaluation of parallel models and architectures (CPUs and GPUs) utilising the mixtures of application program interface, OpenMP and programming model, CUDA were developed. Finally, this study presents the performance enhancements achieved with GPU-CUDA of approximately ~2 times faster than multi-threading implementation and 13~14 times quicker than optimised sequential processing for the CDS computations/workloads respectively.
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Timperley, Matthew. "The integration of explanation-based learning and fuzzy control in the context of software assurance as applied to modular avionics." Thesis, University of Central Lancashire, 2015. http://clok.uclan.ac.uk/16726/.
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A Modular Power Management System (MPMS) is an energy management system intended for highly modular applications, able to adapt to changing hardware intelligently. There is a dearth in the literature on Integrated Modular Avionics (IMA), which has previously not addressed the implications for software operating within this architecture. Namely, the adaptation of control laws to changing hardware. This work proposes some approaches to address this issue. Control laws may require adaptation to overcome hardware degradation, or system upgrades. There is also a growing interest in the ability to change hardware configurations of UASs (Unmanned Aerial Systems) between missions, to better fit the characteristics of each one. Hardware changes in the aviation industry come with an additional caveat: in order for a software system to be used in aviation it must be certified as part of a platform. This certification process has no clear guidelines for adaptive systems. Adapting to a changing platform, as well as addressing the necessary certification effort, motivated the development of the MPMS. The aim of the work is twofold. Firstly, to modify existing control strategies for new hardware. This is achieved with generalisation and transfer earning. Secondly, to reduce the workload involved with maintaining a safety argument for an adaptive controller. Three areas of work are used to demonstrate the satisfaction of this aim. Explanation-Based Learning (EBL) is proposed for the derivation of new control laws. The EBL domain theory embodies general control strategies, which are specialised to form fuzzy rules. A method for translating explanation structures into fuzzy rules is presented. The generation of specific rules, from a general control strategy, is one way to adapt to controlling a modular platform. A fuzzy controller executes the rules derived by EBL. This maintains fast rule execution as well as the separation of strategy and application. The ability of EBL to generate rules which are useful when executed by a fuzzy controller is demonstrated by an experiment. A domain theory is given to control throttle output, which is used to generate fuzzy rules. These rules have a positive impact on energy consumption in simulated flight. EBL is proposed, for rule derivation, because it focuses on generalisation. Generalisations can apply knowledge from one situation, or hardware, to another. This can be preferable to re-derivation of similar control laws. Furthermore, EBL can be augmented to include analogical reasoning when reaching an impasse. An algorithm which integrates analogy into EBL has been developed as part of this work. The inclusion of analogical reasoning facilitates transfer learning, which furthers the flexibility of the MPMS in adapting to new hardware. The adaptive capability of the MPMS is demonstrated by application to multiple simulated platforms. EBL produces explanation structures. Augmenting these explanation structures with a safetyspecific domain theory can produce skeletal safety cases. A technique to achieve this has been developed. Example structures are generated for previously derived fuzzy rules. Generating safety cases from explanation structures can form the basis for an adaptive safety argument.
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Kolbl, Josef Karl. "Low-noise frequency synthesis and picosecond timing for satellite laser ranging systems." Thesis, University of Central Lancashire, 2001. http://clok.uclan.ac.uk/20201/.
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The main aims of the research are to develop various high-speed hardware circuits based on the latest electronic devices and integrated circuit technologies to provide time measurement with one picosecond accuracy, thereby enabling the development of a satellite laser ranging (SLR) system with submillimeter precision. Different types of oscillators and frequency multipliers have been developed (RF and microwave) in order to provide a synchronous and low phase noise clock signal to the SLR timing system, which is phase-locked to the Universal Time Clock (UTC). A technique to quantify phase noise in signal sources is presented and verified. The development of the ranging system encompasses the analog timing verniers, the digital timing system, acquisition and processing of the ranging data, and the controlling of the peripherals, like the laser. The mixed analog/digital timing system architecture provides a time interval determination of two events with picosecond accuracy. Optical calibration techniques and an electronic timing calibration technique were developed to provide calibration of the timing system down to one picosecond accuracy and femtoseconds of resolution, traceable to the International Standard (speed of light, metric standard). The work done has led to several electronic modules for measuring precisely laser runtimes to artificial satellites and to the Moon which are now in successful and permanent operation in five SLR stations around Tokyo, one SLR station in Australia, and one SLR station in Germany. Furthermore, the work has produced three papers and two patents and won the First Prize of Innovation Awards from Deggendorf Government. The research and development work pushed the picosecond timing technology to an extent where the SLR stations in Australia, Tokyo and Germany now have a significant improvement in their ranging data accuracy in comparison to their previous timing equipment, thereby achieving more precise environmental monitoring.
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Macwhannell, Robert. "An investigation of Organisational Carbon Accounting (OCA) practices in the defence sector to determine how these can best support low carbon technology innovation." Thesis, University of Central Lancashire, 2018. http://clok.uclan.ac.uk/23077/.
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‘Climate change’ and ‘defence’ are becoming closely associated topics, particularly in relation to the potential that the defence sector has to support the development of low carbon technologies. This exploratory research applies an inductive approach and a strongly archival strategy in order to investigate how Organisational Carbon Accounting (OCA) practices in the defence sector can best support low carbon technology innovation. It takes an interdisciplinary approach to the literature, drawing on the fields of Carbon Accounting, Defence Industrial Policy, and Innovation Studies. It finds that there some difficulties allocating emissions to organisations in existing OCAs, which are particularly marked in the defence sector due to close working relationships between organisations. These allocations can result in abstract OCAs that do not always reflect the underlying activities causing emissions to be produced. In contrast, ‘Project Level’ Carbon Accounts focused on large-scale collaborative programmes can better account for the emissions of the defence sector in an understandable way that engages new and relevant actors to defence-energy debates. These accounts are therefore more likely than existing OCA practices to support low carbon technology development across innovation networks. A positive selection environment for low carbon technologies can be promoted if these ‘Project-Level’ Carbon Accounts are presented within an appropriate strategic framework, and this research describes the relevance of the defence sector concepts of ‘resilience’ and ‘endurance’ and the related metric of the Fully Burdened Cost of Energy (FBCE). The findings emphasise the value of sector-level analyses of OCA practices, which are not represented in the literature at present. The sector-level perspective can help identify relevant methods from the wider Carbon Accounting field that can improve existing organisational approaches. More importantly, it can help researchers engage with the fundamental question of what Carbon Accounting is for, by analysing how the OCA practices within a specific sector support or inhibit its most effective contribution to climate change mitigation.
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Thakore, Renuka. "A strategic engagement model for delivering energy efficiency initiatives in the English housing sector." Thesis, University of Central Lancashire, 2016. http://clok.uclan.ac.uk/18647/.
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Housing sectors have particular significance and impact on resource use, deployment and sustainability. Given this, they are inextricably enmeshed in a raft of conjoined issues, ranging from energy, production and consumption, through to effective governance structures and leveraged sustainable transformations. However, the real challenges facing the Housing sectors rest with the supportive societal structures which underpin the operationalisation of these issues. This includes such factors as consultation and engagement, and the identification of critical drivers and proven solutions – which are tangible barriers for sustainable transformations (particularly in the English housing system). This research presents a conceptual model – STRIDES (Strategic Tri-level Relational Interventions for Delivering Energy efficiency and Sustainability), which purposefully addresses the aforementioned barriers, and critically challenges thinking and engagement. STRIDES explicitly captures 5-INs, which embodies interrelated essential conditions needed for successful transformation. This conceptual model was developed using a mixed-method approach, engaging constructivism/interpretivism to guide the development and augmentation of this (to ensure maximum relevance and impact). The English housing system was used as the primary lens – which helped both shape and inform the research methodological approach. STRIDES was developed through: an online survey questionnaire (for systems-knowledge); Delphi questionnaires (for target-knowledge); and focus group discussions (for transformative-knowledge). The theoretical constructs and methods revealed exclusive hidden dialogue of composite correlated multi-perspective stakeholders, which highlighted tri-level influences on interdependent system-components for effective governance of sustainable transformations. Recognising and prioritising relationally responsive emerging strategies arising from STRIDES help stakeholders appreciate subtle nuances and forces across and beyond contexts. This helps positioning, especially to shape/tailor strategic interventions to deliver meaningful objectives of these sustainable transformations.
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Prince, Mark. "Smart microsystems for cell manipulations." Thesis, Aston University, 2006. http://publications.aston.ac.uk/12241/.
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This thesis documents the design, manufacture and testing of a passive and non-invasive micro-scale planar particle-from-fluid filter for segregating cell types from a homogeneous suspension. The microfluidics system can be used to separate spermatogenic cells from testis biopsy samples, providing a mechanism for filtrate retrieval for assisted reproduction therapy. The system can also be used for point-of-service diagnostics applications for hospitals, lab-on-a-chip pre-processing and field applications such as clinical testing in the third world. Various design concepts are developed and manufactured, and are assessed based on etched structure morphology, robustness to variations in the manufacturing process, and design impacts on fluid flow and particle separation characteristics. Segregation was measured using image processing algorithms that demonstrate efficiency is more than 55% for 1 µl volumes at populations exceeding 1 x 107. the technique supports a significant reduction in time over conventional processing, in the separation and identification of particle groups, offering a potential reduction in the associated cost of the targeted procedure. The thesis has developed a model of quasi-steady wetting flow within the micro channel and identifies the forces across the system during post-wetting equalisation. The model and its underlying assumptions are validated empirically in microfabricated test structures through a novel Micro-Particle Image Velocimetry technique. The prototype devices do not require ancillary equipment nor additional filtration media, and therefore offer fewer opportunities for sample contamination over conventional processing methods. The devices are disposable with minimal reagent volumes and process waste. Optimal processing parameters and production methods are identified with any improvements that could be made to enhance their performance in a number of identified potential applications.
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Bansal, Dheeraj. "An advanced real-time predictive maintenance framework for large scale machine systems." Thesis, Aston University, 2005. http://publications.aston.ac.uk/12235/.
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This thesis introduces and develops a novel real-time predictive maintenance system to estimate the machine system parameters using the motion current signature. A crucial concept underpinning this project is that the motion current signature contains information relating to the machine system parameters and that this information can be extracted using nonlinear mapping techniques, such as neural networks. Towards this end, a proof of concept procedure is performed, which substantiates this concept. A simulation model, TuneLearn, is developed to simulate the large amount of training data required by the neural network approach. Statistical validation and verification of the model is performed to ascertain confidence in the simulated motion current signature. Validation experiment concludes that, although, the simulation model generates a good macro-dynamical mapping of the motion current signature, it fails to accurately map the micro-dynamical structure due to the lack of knowledge regarding performance of higher order and nonlinear factors, such as backlash and compliance. Failure of the simulation model to determine the micro-dynamical structure suggests the presence of nonlinearity in the motion current signature. This motivated us to perform surrogate data testing for nonlinearity in the motion current signature. Results confirm the presence of nonlinearity in the motion current signature, thereby, motivating the use of nonlinear techniques for further analysis. Outcomes of the experiment show that nonlinear noise reduction combined with the linear reverse algorithm offers precise machine system parameter estimation using the motion current signature for the implementation of the real-time predictive maintenance system. Finally, a linear reverse algorithm, BJEST, is developed and applied to the motion current signature to estimate the machine system parameters.
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Slack, Paul Stephen. "A novel detection method for determining a surgeon's fatigue and hand tremor." Thesis, Aston University, 2007. http://publications.aston.ac.uk/12238/.
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The thesis presents new methodology and algorithms that can be used to analyse and measure the hand tremor and fatigue of surgeons while performing surgery. This will assist them in deriving useful information about their fatigue levels, and make them aware of the changes in their tool point accuracies. This thesis proposes that muscular changes of surgeons, which occur through a day of operating, can be monitored using Electromyography (EMG) signals. The multi-channel EMG signals are measured at different muscles in the upper arm of surgeons. The dependence of EMG signals has been examined to test the hypothesis that EMG signals are coupled with and dependent on each other. The results demonstrated that EMG signals collected from different channels while mimicking an operating posture are independent. Consequently, single channel fatigue analysis has been performed. In measuring hand tremor, a new method for determining the maximum tremor amplitude using Principal Component Analysis (PCA) and a new technique to detrend acceleration signals using Empirical Mode Decomposition algorithm were introduced. This tremor determination method is more representative for surgeons and it is suggested as an alternative fatigue measure. This was combined with the complexity analysis method, and applied to surgically captured data to determine if operating has an effect on a surgeon’s fatigue and tremor levels. It was found that surgical tremor and fatigue are developed throughout a day of operating and that this could be determined based solely on their initial values. Finally, several Nonlinear AutoRegressive with eXogenous inputs (NARX) neural networks were evaluated. The results suggest that it is possible to monitor surgeon tremor variations during surgery from their EMG fatigue measurements.
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Shalan, Mohamad A. "The integration of multi-source data to improve the classification of remotely sensed images." Thesis, Aston University, 2005. http://publications.aston.ac.uk/12246/.
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The number of remote sensing platforms and sensors rises almost every year, yet much work on the interpretation of land cover is still carried out using either single images or images from the same source taken at different dates. Two questions could be asked of this proliferation of images: can the information contained in different scenes be used to improve the classification accuracy and, what is the best way to combine the different imagery? Two of these multiple image sources are MODIS on the Terra platform and ETM+ on board Landsat7, which are suitably complementary. Daily MODIS images with 36 spectral bands in 250-1000 m spatial resolution and seven spectral bands of ETM+ with 30m and 16 days spatial and temporal resolution respectively are available. In the UK, cloud cover may mean that only a few ETM+ scenes may be available for any particular year and these may not be at the time of year of most interest. The MODIS data may provide information on land cover over the growing season, such as harvest dates, that is not present in the ETM+ data. Therefore, the primary objective of this work is to develop a methodology for the integration of medium spatial resolution Landsat ETM+ image, with multi-temporal, multi-spectral, low-resolution MODIS \Terra images, with the aim of improving the classification of agricultural land. Additionally other data may also be incorporated such as field boundaries from existing maps. When classifying agricultural land cover of the type seen in the UK, where crops are largely sown in homogenous fields with clear and often mapped boundaries, the classification is greatly improved using the mapped polygons and utilising the classification of the polygon as a whole as an apriori probability in classifying each individual pixel using a Bayesian approach. When dealing with multiple images from different platforms and dates it is highly unlikely that the pixels will be exactly co-registered and these pixels will contain a mixture of different real world land covers. Similarly the different atmospheric conditions prevailing during the different days will mean that the same emission from the ground will give rise to different sensor reception. Therefore, a method is presented with a model of the instantaneous field of view and atmospheric effects to enable different remote sensed data sources to be integrated.
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Kamnis, Spyros. "Development of multiphase and multiscale mathematical models for thermal spray process." Thesis, Aston University, 2007. http://publications.aston.ac.uk/12243/.
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High velocity oxyfuel (HVOF) thermal spraying is one of the most significant developments in the thermal spray industry since the development of the original plasma spray technique. The first investigation deals with the combustion and discrete particle models within the general purpose commercial CFD code FLUENT to solve the combustion of kerosene and couple the motion of fuel droplets with the gas flow dynamics in a Lagrangian fashion. The effects of liquid fuel droplets on the thermodynamics of the combusting gas flow are examined thoroughly showing that combustion process of kerosene is independent on the initial fuel droplet sizes. The second analysis copes with the full water cooling numerical model, which can assist on thermal performance optimisation or to determine the best method for heat removal without the cost of building physical prototypes. The numerical results indicate that the water flow rate and direction has noticeable influence on the cooling efficiency but no noticeable effect on the gas flow dynamics within the thermal spraying gun. The third investigation deals with the development and implementation of discrete phase particle models. The results indicate that most powder particles are not melted upon hitting the substrate to be coated. The oxidation model confirms that HVOF guns can produce metallic coating with low oxidation within the typical standing-off distance about 30cm.
Book chapters on the topic "Software engineering not elsewhere classified"
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Galpin, Vashti. "Women in Technology in Sub-Saharan Africa." In Global Information Technologies, 1681–88. IGI Global, 2008. http://dx.doi.org/10.4018/978-1-59904-939-7.ch122.
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International research has shown that in most countries, there are few women studying towards information technology (IT) careers (Galpin, 2002), and there is much research, particularly in the United States (U.S.), United Kingdom (UK) and Australia into why this is the case (Gürer & Camp, 2002). This article considers the situation in sub-Saharan Africa and focuses on women’s involvement in the generation and creation of information and communication technologies (ICTs) in sub-Saharan Africa, as opposed to ICT use in sub-Saharan Africa, which is considered elsewhere in this volume. There are a number of aspects to the generation and creation of ICTs: how women are involved in this process as IT professionals and how they are educated for these careers, as well how technology can be used appropriately within the specific conditions of sub-Saharan Africa. ICTs will be considered in the broadest sense of the word, covering all electronic technologies, from computers and networking to radio and television. Women’s participation is important: The World Summit on the Information Society (WSIS) Gender Caucus (www.genderwsis.org) has identified women’s involvement in the design and development of technology as well as technology management policy, as key principles for the information society. Marcelle (2001) emphasizes the necessity for African women to become involved in technological and scientific areas, including “computer science, software engineering, network design, network management and related disciplines” (Marcelle, 2001, para. 15) to create an information society appropriate for African women. The diversity of those involved in design leads to higher-quality and more appropriate technological solutions (Borg, 2002; Lazowska, 2002). Background Sub-Saharan Africa has a population of 641 million, young (almost half under 15) and rural (35% urban). Significant problems are undernourishment, poverty and HIV/AIDS (United Nations Development Programme (UNDP), 2004). All the countries in sub-Saharan Africa are classified as developing countries. Some countries are relatively wealthy, such as Mauritius, South Africa, and Nigeria, but have large wealth disparities within their populations. Women in sub-Saharan Africa are expected to focus on the home, they have less access to education and health, and their contribution to family and community is not valued (Huyer, 1997).
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"Crops, which have similar characteristics with to water requirements, have been classified into five categories and schedule decisions in the first." In Hydraulic Engineering Software IV, 497–99. CRC Press, 2003. http://dx.doi.org/10.1201/9781482286809-183.
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Martins, Ana Isabel, Alexandra Queirós, Anabela G. Silva, and Nelson Pacheco Rocha. "Usability Evaluation Methods." In Advances in Systems Analysis, Software Engineering, and High Performance Computing, 250–73. IGI Global, 2015. http://dx.doi.org/10.4018/978-1-4666-6485-2.ch013.
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This chapter aims to identify, analyze, and classify the methodologies and methods described in the literature for the usability evaluation of systems and services based on information and communication technologies. The methodology used was a systematic review of the literature. The studies included in the analysis were classified into empirical and analytical methodologies (test, inquiry, controlled experiment, or inspection). A total of 2116 studies were included, of which 1308 were classified. In terms of results, the inquiry methodology was the most frequent in this review, followed by test, inspection, and finally, the controlled experiment methodology. A combination of methodologies is relatively common, especially the combination of test and inquiry methodologies, probably because they assess different but complementary aspects of usability contributing to a more comprehensive assessment.
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Ghapanchi, Amir Hossein. "Investigating the Success of OSS Software Projects." In Advances in Systems Analysis, Software Engineering, and High Performance Computing, 92–102. IGI Global, 2015. http://dx.doi.org/10.4018/978-1-4666-6485-2.ch005.
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Whereas there are several instances of Open Source Software (OSS) projects that have achieved huge success in the market, a high failure rate has been reported for OSS projects. This study conducts a literature survey to gain insight into existing studies on the success of OSS projects. More specifically, this study seeks to extract the critical success factors for OSS projects. Based on the literature survey in this study, the authors found determinants of success in OSS projects and classified them into three broad categories of project traits, product traits, and network structure. These findings have important implications for both the OSS research community and OSS practitioners.
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Myers, Brad A., Sae Young Jeong, Yingyu Xie, Jack Beaton, Jeff Stylos, Ralf Ehret, Jan Karstens, Arkin Efeoglu, and Daniela K. Busse. "Studying the Documentation of an API for Enterprise Service-Oriented Architecture." In End-User Computing, Development, and Software Engineering, 81–102. IGI Global, 2012. http://dx.doi.org/10.4018/978-1-4666-0140-6.ch004.
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All software today is written using application programming interfaces (APIs). We performed a user study of the online documentation of a large and complex API for Enterprise Service-Oriented Architecture (eSOA), which identified many issues and recommendations for making API documentation easier to use. eSOA is an appropriate testbed because the target users include high-level business experts who do not have significant programming expertise and thus can be classified as “end-user developers.” Our study showed that the participants’ background influenced how they navigated the documentation. Lack of familiarity with business terminology was a barrier for developers without business application experience. Both groups avoided areas of the documentation that had an inconsistent visual design. A new design for the documentation that supports flexible navigation strategies seems to be required to support the wide range of users for eSOA. This paper summarizes our study and provides recommendations for future documentation for APIs.
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Santos, Danilo F. S., André Felipe A. Rodrigues, Walter O. Guerra Filho, and Marcos Fábio Pereira. "Adapting Agile Practices During the Evolution of a Healthcare Software Product." In Advances in Systems Analysis, Software Engineering, and High Performance Computing, 115–29. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-4165-4.ch006.
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Agile Software Development (ASD) can be considered the mainstream development method of choice worldwide. ASD are used due to features such as easy management and embrace of changes, where change in requirements should be taken as a positive feature. However, some domain verticals, such as medical-healthcare, are classified as critical-safety system, which usually requires traditional methods. This chapter presents a practical use case describing the evolution of a software product that was conceived as a wellness software for end-users in mobile platforms to a medical-healthcare product restricted to regulatory standard recommendations. It presents the challenges and how the ASD is compatible to standards such as ISO/IEC 82304-1.
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Gupta, Chetna, and Varun Gupta. "Semi-Automated Tool Support for Identification and Prioritization of Impacted Functions in Software Systems." In Multidisciplinary Approaches to Service-Oriented Engineering, 168–81. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-5951-1.ch008.
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Change is an integral part of any software system. Predicting the impact of making changes through techniques of change impact analysis helps engineers identify and analyze those parts of the system that will be potentially affected by requested change(s). This chapter presents a semi-automated approach to (a) compute likelihood of impacted functions in a system through identification and analysis of functional dependencies between them and (b) assist software engineers in selective regression testing. This technique first classifies the impact set data into two categories based on their type of impact propagation. Next it performs prioritization on classified data to rank functions into higher and lower levels according to the degree of impact they will make. This prediction will help in lowering maintenance cost and effort of software engineers. Thus, a software engineer can first run those test cases which cover segments with higher impacted priority to minimize regression test selection.
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Basha, Syed Muzamil, and Dharmendra Singh Rajput. "Sentiment Analysis." In Advances in Systems Analysis, Software Engineering, and High Performance Computing, 130–52. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-3870-7.ch009.
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E-commerce has become a daily activity in human life. In it, the opinion and past experience related to particular product of others is playing a prominent role in selecting the product from the online market. In this chapter, the authors consider Tweets as a point of source to express users' emotions on particular subjects. This is scored with different sentiment scoring techniques. Since the patterns used in social media are relatively short, exact matches are uncommon, and taking advantage of partial matches allows one to significantly improve the accuracy of analysis on sentiments. The authors also focus on applying artificial neural fuzzy inference system (ANFIS) to train the model for better opinion mining. The scored sentiments are then classified using machine learning algorithms like support vector machine (SVM), decision tree, and naive Bayes.
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Mahmud, Umar, and Muhammad Younus Javed. "Context Inference Engine (CiE)." In Advances in Systems Analysis, Software Engineering, and High Performance Computing, 65–112. IGI Global, 2014. http://dx.doi.org/10.4018/978-1-4666-6098-4.ch003.
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Context Awareness is the ability of systems and applications to sense the environment and infer the activity going on in the environment. Context encompasses all knowledge bounded within an environment and includes attributes of both machines and users. A context-aware system is composed of context gathering and context inference modules. This chapter proposes a Context Inference Engine (CiE) that classifies the current context as one of several known context activities. This engine follows a Minkowski distance-based classification approach with standard deviation-based ranks to identify likeliness of classified activity of the current context. Empirical results on different data sets show that the proposed algorithm performs closer to Support Vector Machines (SVM) while it is better than probabilistic reasoning methods where the performance is quantified as success in classification.
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N., Raghu. "Arrhythmia Detection Based on Hybrid Features of T-Wave in Electrocardiogram." In Advances in Systems Analysis, Software Engineering, and High Performance Computing, 1–20. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-1192-3.ch001.
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An electrocardiogram (ECG) is used as one of the important diagnostic tools for the detection of the health of a heart. An automatic heart abnormality identification methods sense numerous abnormalities or arrhythmia and decrease the physician's pressure as well as share their workload. In ECG analysis, the main focus is to enhance degree of accuracy and include a number of heart diseases that can be classified. In this chapter, arrhythmia classification is proposed using hybrid features of T-wave in ECG. The classification system consists of majorly three phases, windowing technique, feature extraction, and classification. This classifier categorizes the normal and abnormal signals efficiently. The experimental analysis showed that the hybrid features arrhythmia classification performance of accuracy approximately 98.3%, specificity 98.0%, and sensitivity 98.6% using MIT-BIH database.
Conference papers on the topic "Software engineering not elsewhere classified"
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Lv, Yilun, and Bing Du. "Application of AAA security management in classified network." In 2013 IEEE 4th International Conference on Software Engineering and Service Science (ICSESS). IEEE, 2013. http://dx.doi.org/10.1109/icsess.2013.6615393.
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Tandirci, Murat, Jorge Angeles, and Zheng Liu. "PLAN: A Software Package for the Optimization of Planar Four-Bar Linkages." In ASME 1991 International Computers in Engineering Conference and Exposition. American Society of Mechanical Engineers, 1991. http://dx.doi.org/10.1115/cie1991-0037.
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Abstract This paper introduces a software package called PLAN containing Fortran and C routines to optimize, and visualize planar four-bar linkages for rigid body guidance and path generation. The problem formulation and the design methodology, fully discussed elsewhere, are briefly recalled for quick reference. Examples are included to highlight, the usage of the package, and illustrate the design and analysis stages involved.
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Xianghong, Tang, and Liu Yang. "An Image Compressing Algorithm Based on Classified Blocks with BP Neural Networks." In 2008 International Conference on Computer Science and Software Engineering. IEEE, 2008. http://dx.doi.org/10.1109/csse.2008.1357.
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Tao, Yang, and Xing-jiang Yu. "Classified Optimization Scheduling Algorithm Driven by Multi-QoS Attributes in Economical Grid." In 2008 International Conference on Computer Science and Software Engineering. IEEE, 2008. http://dx.doi.org/10.1109/csse.2008.523.
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Liu, Zheng, Jorge Angeles, and Murat Tandirci. "SPHERE: A Software Package for the Optimization of Spherical Four-Bar Linkages." In ASME 1991 International Computers in Engineering Conference and Exposition. American Society of Mechanical Engineers, 1991. http://dx.doi.org/10.1115/cie1991-0038.
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Abstract Introduced in this paper is a software package called SPHERE, meant for the optimization of spherical four-bar linkages for problems of path generation and rigid-body guidance. The optimization methodology is based on an equality-constrained least-squares scheme, as described elsewhere. Considering the similarities of the two problems, we established a more general formulation to cover both synthesis cases. SPHERE is developed based on this formulation. An outline of the methodology and the package is presented in this paper. Two examples are included to illustrate the usage of the package.
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Shibutani, Tadahiro, Tetsu Tsuruga, Qiang Yu, and Masaki Shiratori. "Interface Strength Between Sub-Micron Thin Films in Opening and Sliding Delamination Modes." In ASME 2002 International Mechanical Engineering Congress and Exposition. ASMEDC, 2002. http://dx.doi.org/10.1115/imece2002-39631.
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Delamination between thin films is classified into two types: opening mode and sliding mode. Corresponding to each mode, there is the interface strength between thin films. This paper aims to evaluate interface strength between the sub-micron thin films for opening mode and sliding mode, respectively. We already developed the evaluation method of interface fracture toughness for opening mode on the basis of fracture mechanics concept elsewhere. Moreover, the evaluation method of sliding mode is proposed and the interface strength between thin films for an advanced LSI is evaluated as the fracture toughness by using both methods. In both modes, the stress singularity appears in the vicinity of the edge of interface and governs the delamination. The criterion of crack initiation for each mode is evaluated as the interface toughness. The fracture toughness at the edge of interface in sliding mode is lower than that in opening mode.
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Gao, Quanquan, and Tingge Ren. "A Measuring Method of Effect Intensity Based on Classified Herbs Regarding Intelligent Mining of Prescription Efficacies." In 2009 International Conference on Computational Intelligence and Software Engineering. IEEE, 2009. http://dx.doi.org/10.1109/cise.2009.5366219.
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Zhao, Yuan, Chaozhi Zhou, and Jiemin Liu. "A Packet Dropping Mechanism in Multi-channel Cognitive Radio Networks with Classified Secondary Users." In 2020 IEEE 11th International Conference on Software Engineering and Service Science (ICSESS). IEEE, 2020. http://dx.doi.org/10.1109/icsess49938.2020.9237676.
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Su Linping, Mu Hongtao, Min Yunlang, and Cheng Rui. "The research of classified method of the network traffic in security access platform based on decision tree." In 2016 7th IEEE International Conference on Software Engineering and Service Science (ICSESS). IEEE, 2016. http://dx.doi.org/10.1109/icsess.2016.7883112.
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Yang, Yanhua, Yongjun Shen, Guidong Zhang, and Gan Yu. "The grading scheme based on fuzzy comprehensive evaluation and analytic hierarchy process for classified protection of information system." In 2014 5th IEEE International Conference on Software Engineering and Service Science (ICSESS). IEEE, 2014. http://dx.doi.org/10.1109/icsess.2014.6933575.
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