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Frontiers in Education (FIE) Conference

作者： J. Leaney C. Peterson C. Drane Computer Systems Engineering University of Technology Sydney NSW Australia

The subjects computer systems Analysis and computer systems Design within the computer systems engineering degree at UTS concern themselves with the specification, architecture, design and implementation of a computer based system of moderate complexity, covering electrical and mechanical hardware, computer hardware and software. Students are expected to develop the system to appropriate standards, using suitable techniques, within a defined process and operating within a team. The computer based system is concerned with the problem of the automatic assembly of (pseudo) chocolates into (pseudo) chocolate boxes. There are a variety of boxes and a variety of chocolates, which have to be assembled to (operator entered) orders. The class is divided into teams. A team comprises five groups. Each of four groups is responsible for one of the major subassemblies, and the fifth group is responsible for the systems engineering and telecommunications. The major subassemblies are the assembly robot, the box conveyor and (Vision) recognition system, the chocolate recognition system, and the supervisory control system. The project has been running for five years and this paper summarises the history, reports on the development and analyses educational aspects. Student appreciation of the subjects has been entirely positive, with the most often made comment that finally they have understood why they have studied engineering for the previous four to five years.

关键词： systems engineering and theory Hardware Robotic assembly System analysis and design Design engineering computer architecture Software Standards development Assembly systems Machine vision

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A pattern based curriculum for computer systems engineering

A pattern based curriculum for computer systems engineering

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Conference on Software engineering Education & Training (CSEE&T)

作者： E.A. Kendall Department of Computer Systems Engineering Royal Melbourne Institute of Technology Melbourne VIC Australia

Software engineers today should be knowledgeable in computer systems, which encompasses electronics hardware, software, and networking. Because computer systems engineering is a very broad and rapidly changing discipline, there is a need to have a unified methodology for both students and practitioners. Patterns, and pattern languages for software development have received considerable attention over the last few years, and this approach, based on work originally done in architecture and urban planning, supports methodology development, dissemination, and evolution. This paper discusses patterns and pattern languages of computer systems as unifying themes and underpinnings for undergraduate and postgraduate curricula. Most of a sample curriculum has been implemented within undergraduate and postgraduate degree programs in computer systems engineering at the Royal Melbourne Institute of Technology in Australia. The sample curriculum is described here, along with preliminary feedback from students and lecturers. The net result is steps toward a methodology that allows students to learn to systematically develop computer software, electronics hardware, and networked systems.

关键词： systems engineering and theory computer networks Hardware Knowledge engineering Programming computer architecture Urban planning Australia Feedback Software systems

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computer application systems engineering center: a software factory

Computer application systems engineering center: a software ...

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International Conference on systems Integration

作者： K. Yamashita O. Sasaki Computer Application Systems Engineering Center Fuchu Works Toshiba Corporation

This paper presents Toshiba Corporation's computer application systems engineering center (CASEC). First, an overview of CASEC is described, including the center's production environment. Then, some of the management systems-including SOFPIT (software profit improvement tactics) designed for delegated cost management, and Toshiba's corporate-wide software-reuse library system. The decades of experience have demonstrated that the production of high-quality software is heavily dependent on human factors. For this reason the authors devised schemes and mechanisms to enforce basic rules for software production and management. These mechanisms include involving management and experts in the design-review process, FFQM (feed forward quality management), the introduction of management-level rankings, and software QCC (quality control circles) activities. Finally, the paper presents an education system by which CASEC trains systems engineers and programmers.< >

关键词： computer applications systems engineering and theory Production facilities Quality management Software systems Costs Software libraries Human factors Process design Feeds

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Interactive learning modules for electrical, computer and systems engineering

Interactive learning modules for electrical, computer and sy...

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Frontiers in Education (FIE) Conference

作者： D. Millard W. Jennings A. Sanderson A. Wong A. Patel W. Brubaker M. Perala D. Slattery Electrical Computer and Systems Engineering DepartmentAcademy of Electronic Media Rensselaer Polytechnic Institute Troy NY USA

Web-based multimedia tutorials are being developed for use in several undergraduate courses in electrical engineering and computer and systems engineering at Rensselaer Polytechnic Institute, USA. These interactive learning modules (ILMs) are created with the Director authoring environment and can be deployed using a standard Web browser with Macromedia's Shockwave plug-in as the interface. The ILMs can be used by faculty for in-class presentations and demonstrations, by students for in-class, structured exercises (particularly in the studio format of course delivery) and by students anytime, anywhere via the Internet to explore concepts in more detail and gain practical experience in design and application. The ILMs are developed to provide application-based motivation for learning, present fundamental concepts using animation and visualization and provide interactive practice on problem-solving and open-ended design experience. ILMs are now available on the 555 timer IC, an electrical engineering fundamentals handbook (EE handbook), an electronics circuit card manufacturing handbook, common-emitter amplifier design, analog filters, operational amplifiers, Fourier analysis and convolution. They are currently being used in introductory courses in circuits, electronics, instrumentation and signals and systems, all of which are moving to the studio format. Initial experiences by both faculty and students have been very positive. The combination of interactive learning modules and the studio format of course delivery present a fundamentally new model for the delivery of engineering education.

关键词： Electrical engineering Operational amplifiers Multimedia systems systems engineering and theory Internet Animation Visualization Problem-solving Analog integrated circuits Electronic circuits

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A pose estimation for motion tracking of infants cerebral palsy

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Multimedia Tools and Applications 2025年第10期84卷 8261-8286页

作者： Ali, Manal Mostafa Mohamed, Samer I. Al Azhar University Computer & System Engineering Cairo Egypt Computer Systems Engineering Giza Egypt

The General Movements Analysis (GMA) has demonstrated noteworthy promise in the early detection of infantile Cerebral Palsy (CP). However, it is subjective and requires highly trained clinicians, making it costly and time-consuming. Automation of GMA could potentially enhance accessibility and further our comprehension of infants’ full-body movements. This paper investigates the feasibility of using 2D and 3D pose estimation strategies to observe and scrutinize the infant’s comprehensive body movement attributes to improve our perspective to consider joint movement and positions over time as an alternative to GMA for early CP prediction. The study includes comprehensive movement analysis from video recordings for accurate and efficient analysis of infant movement by computing various metrics such as angle orientations at different predicted joint locations, postural information, postural variability, movement velocity, movement variability, and left–right movement coordination. Along with antigravity movements are assessed and tracked as indicators of CP. We employed a variety Machine Learning (ML) algorithms for CP classification based on a series of robust features that have been developed to enhance the interpretability of the model. The proposed approach is assessed through experimentation using the MINI-RGBD and RVI-38 datasets with a classification accuracy of 92% and 97.37% respectively. These results substantiate the efficacy of employing pose estimation techniques for the precocious prediction of infantile CP, highlighting the importance of monitoring changes in joint angles over time for accurate diagnosis and treatment planning. © The Author(s) 2024.

关键词： Video recording

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Software engineering and computer systems 1

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丛书名： Communications in computer and Information Science

1000年

作者： Jasni Mohamad Zain Wan Maseri bt Wan Mohd Eyas El-Qawasmeh

ISBN: (数字)9783642221705

ISBN: (纸本)9783642221699

This Three-Volume-Set constitutes the refereed proceedings of the Second International Conference on Software engineering and computer systems, ICSECS 2011, held in Kuantan, Malaysia, in June 2011. The 190 revised full papers presented together with invited papers in the three volumes were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on software engineering; network; bioinformatics and e-health; biometrics technologies; Web engineering; neural network; parallel and distributed; e-learning; ontology; image processing; information and data management; engineering; software security; graphics and multimedia; databases; algorithms; signal processing; software design/testing; e- technology; ad hoc networks; social networks; software process modeling; miscellaneous topics in software engineering and computer systems.

关键词： Information systems Applications (incl. Internet) Algorithm Analysis and Problem Complexity Software engineering computer Communication Networks Computation by Abstract Devices Pattern Recognition

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Software engineering and computer systems 1

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丛书名： Communications in computer and Information Science

1000年

作者： Jasni Mohamad Zain Wan Maseri bt Wan Mohd Eyas El-Qawasmeh

ISBN: (数字)9783642221910

ISBN: (纸本)9783642221903

This Three-Volume-Set constitutes the refereed proceedings of the Second International Conference on Software engineering and computer systems, ICSECS 2011, held in Kuantan, Malaysia, in June 2011. The 190 revised full papers presented together with invited papers in the three volumes were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on software engineering; network; bioinformatics and e-health; biometrics technologies; Web engineering; neural network; parallel and distributed e-learning; ontology; image processing; information and data management; engineering; software security; graphics and multimedia; databases; algorithms; signal processing; software design/testing; e- technology; ad hoc networks; social networks; software process modeling; miscellaneous topics in software engineering and computer systems.

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Domain generalization with semi-supervised learning for people-centric activity recognition

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Science China(Information Sciences) 2025年第1期68卷 171-188页

作者： Jing LIU Wei ZHU Di LI Xing HU Liang SONG Academy for Engineering & Technology Fudan University Shanghai East-bund Research Institute on Networking Systems of AI School of Optoelectronic Information and Computer Engineering University of Shanghai for Science & Technology

People-centric activity recognition is one of the most critical technologies in a wide range of real-world applications,including intelligent transportation systems, healthcare services, and brain-computer interfaces. Large-scale data collection and annotation make the application of machine learning algorithms prohibitively expensive when adapting to new tasks. One way of circumventing this limitation is to train the model in a semi-supervised learning manner that utilizes a percentage of unlabeled data to reduce the labeling burden in prediction tasks. Despite their appeal, these models often assume that labeled and unlabeled data come from similar distributions, which leads to the domain shift problem caused by the presence of distribution gaps. To address these limitations, we propose herein a novel method for people-centric activity recognition,called domain generalization with semi-supervised learning(DGSSL), that effectively enhances the representation learning and domain alignment capabilities of a model. We first design a new autoregressive discriminator for adversarial training between unlabeled and labeled source domains, extracting domain-specific features to reduce the distribution gaps. Second, we introduce two reconstruction tasks to capture the task-specific features to avoid losing information related to representation learning while maintaining task-specific consistency. Finally, benefiting from the collaborative optimization of these two tasks, the model can accurately predict both the domain and category labels of the source domains for the classification task. We conduct extensive experiments on three real-world sensing datasets. The experimental results show that DGSSL surpasses the three state-of-the-art methods with better performance and generalization.

关键词： activity recognition deep learning domain generalization semi-supervised learning adversarial training

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Blackout Mitigation via Physics-Guided RL

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IEEE Transactions on Power systems 2025年第3期40卷 2363-2375页

作者： Dwivedi, Anmol Paternain, Santiago Tajer, Ali Rensselaer Polytechnic Institute Electrical Computer and Systems Engineering Department TroyNY12180 United States

This paper considers the sequential design of remedial control actions in response to system anomalies to prevent blackouts. A physics-guided reinforcement learning (RL) framework is designed to identify effective sequences of real-time remedial look-ahead decisions accounting for the long-term impact on the system's stability. The paper considers a space of control actions involving both discrete-valued transmission line-switching decisions (line reconnections and removals) and continuous-valued generator adjustments. To identify an effective blackout mitigation policy, a physics-guided approach is designed that uses power-flow sensitivity factors associated with the power transmission network to guide the RL exploration during agent training. Comprehensive empirical evaluations using the open-source Grid2Op platform demonstrate the notable advantages of incorporating physical signals into RL decisions, establishing the gains of the proposed physics-guided approach compared to its black-box counterparts. One important observation is that strategically removing transmission lines, in conjunction with multiple real-time generator adjustments, often renders effective long-term decisions that are likely to prevent or delay blackouts. © 1969-2012 IEEE.

关键词： Electric load flow

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Real-time drone detection framework based on advanced texture feature extraction and pattern recognition model using GUI

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Neural Computing and Applications 2025年第5期37卷 3435-3454页

作者： Hussen, Noha Salem, Mofreh Eldesouky, Ali I. Sakr, Noha Elghamrawy, Sally Computers and Control Systems Engineering Department Mansoura University Mansoura Egypt Computer Engineering Department Misr Higher Institute for Engineering and Technology Mansoura Egypt

The increasing prevalence of drones has raised significant concerns regarding their potential for misuse in activities such as smuggling, terrorism, and unauthorized access to restricted airspace. Consequently, the development of robust and efficient drone detection systems has become paramount. Traditional detection methods such as radar and acoustic sensors have limitations in detecting small drones and can be costly to implement. This can lead to lower detection rates and increased security breaches and safety concerns. However, prevailing methodologies often falter in achieving real-time detection with requisite precision and efficacy, particularly within complex operational environments. Motivated by the imperative to surmount these challenges, our research endeavors to introduce a pioneering real-time drone detection framework. Our study encapsulates several seminal advancements. Firstly, we proffer a groundbreaking framework that synergizes advanced integration technique based on texture feature extraction and pattern recognition techniques for real-time drone detection to increase accuracy to detect drones in different conditions such as bad weather and low resolution. Secondly, we introduce an intuitive graphical user interface, enhancing the usability and accessibility of the system in real-time scenario. Lastly, through exhaustive evaluation and comparative analysis, we substantiate the superior performance of our framework in terms of accuracy, precision, and real-time detection capabilities compared to conventional DDS methodologies. Its stability and effectiveness render it a compelling solution for security-focused entities, notably those within air force and military systems. Our experimental results reveal a commendable accuracy rate of 97%, affirming the reliability and precision 98% and recall parameter 98% of our framework in accurately identifying and detecting drones, thus surpassing recent models in the field. © The Author(s), under exclusive

关键词： Graphical user interfaces

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