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检索条件"任意字段=Israel Conference on Computer Systems and Software Engineering"

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Digital Control of a 600-V to 28-V 20-kW Two-Stage DC-DC Converter 14

Digital Control of a 600-V to 28-V 20-kW Two-Stage DC-DC Con...

引用

14th Annual IEEE Applied Power Electronics conference and Exposition, APEC 2025

作者： Shah, Shreyas B. Pradhan, Rachit Yuan, Jiaqi Ibrahim, Mohamed Elezab, Ahmed Hemming, Samuel Pietrini, Giorgio Suntharalingam, Piranavan Cruz, Mario F. Emadi, Ali McMaster University Department of Electrical and Computer Engineering HamiltonON Canada Eaton Corporation Aerospace Group Fluid and Electrical Distribution Division TorranceCA United States Eaton Corporation Advanced Technology and Innovation Group RaleighNC United States

ISBN: (纸本)9798331516116

A trend of increasing powertrain voltages is seen in electric vehicles and more electric aircraft. However, the systems close to humans have stayed at 12 to 48 V for safety reasons. A combination of control and converter architecture is needed to efficiently meet the required gain over all line and load conditions. This work briefly introduces a converter architecture and, in detail, demonstrates a digital control technique for a 600 V to 28 V 20 kW two-stage DC-DC converter. A modular input-parallel output-parallel (IPOP) configuration with two identical 10 kW modules is used. Each module consists of a buck stage for regulation followed by a series-resonant DC transformer (SR-DCX) for isolation and a fixed gain. A current sharing compensator is designed to ensure equal current sharing between IPOP modules. The control technique considers constraints due to signal-chain processing and minimizes digitization delays. The scheme experimentally demonstrates robust control over the required line and load variations for the 10 kW module. The devised control technique demonstrates equal current-sharing amongst the paralleled modules using a PLECS simulation. © 2025 IEEE.

关键词： Direct digital control systems

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The Threat Landscape of Ransomware in Critical Infrastructure: An Optimization Perspective 3

The Threat Landscape of Ransomware in Critical Infrastructur...

引用

3rd IEEE International conference on Automation and Computation, AUTOCOM 2025

作者： Jeelan, Peer Mohammed Saini, Ramesh Parida, Sasmita Minhas, Deepak Manashree Agarwal, Ankita Bengaluru India Centre of Research Impact and Outcome Chitkara University Punjab Rajpura140417 India Department of Computer Science and Engineering Odisha Bhubaneswar India Chitkara Centre for Research and Development Chitkara University Himachal Pradesh Baddi174103 India Karnataka Bangalore India Maharishi School of Engineering & Technology Maharishi University of Information Technology Uttar Pradesh India

ISBN: (纸本)9798331542375

Ransom ware, a malicious software program, has become a main threat to essential infrastructure systems, including power, transportation, and healthcare systems. This kind of cyber-attack is designed to block access to important records or devices until a ransom is paid, doubtlessly inflicting sizeable disruptions to critical offerings. As an increasing number of industries become reliant on technology, the threat of ransom ware in vital infrastructure has expanded. We provide an optimization angle at the danger panorama of ransom ware in critical infrastructure. We first examine the factors that contribute to the vulnerability of important infrastructure structures to ransom ware assaults. These consist of old technology, lack of education and cognizance, and insufficient backup and healing systems. We then discover the ability effects of a successful ransom ware attack on essential infrastructure, including manufacturing delays, service outages, and economic losses. We also examine different optimization techniques for stopping, mitigating, and responding to ransom ware attacks in critical infrastructure. These encompass risk-based total strategies, intrusion detection and prevention structures, and cyber coverage. We observe the function of government guidelines and policies in addressing the risk of ransom ware in critical infrastructure. Our findings provide insights for decision-makers in essential infrastructure industries to optimize their techniques and investments in stopping and responding to ransom ware attacks. By considering the optimization angle, essential infrastructure structures can better guard against the ever-evolving chance panorama of ransom ware. © 2025 IEEE.

关键词： computer viruses

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Design and Research of a computer Network Experimental Teaching Systembased on SDN

Design and Research of a Computer Network Experimental Teach...

引用

International conference on Educational and Information Technology (ICEIT)

作者： Jun Tao Wangfeng Yu Huihui Han Xinyu Wang School of computer and software engineering Anhui Institute of information engineering WuHu China

ISBN: (数字)9798331540883

ISBN: (纸本)9798331540890

The importance of computer network experiments in teaching is elaborated, while traditional computer network systems have low efficiency and chaotic management, these shortcomings affect the effectiveness of related teaching heavily. To overcome the shortcomings of traditional experimental systems, a computer network experiment system based on SDN has been constructed, which relies on SDN and AAA to manage network equipment, network simulators, and student experiments. Laboratory managers rely on SDN for device authorization, students rely on SDN for fast and secure computer network experiments, and teachers rely on SDN to obtain corresponding experimental evaluations. Two typical experiments in the experimental system are introduced, and teaching has achieved good results through the experimental system.

关键词： Authorization Patents Distance learning Education Student experiments computer networks Information technology Artificial intelligence

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Research and Application of Intermediate Experiment Digitization Basic Platform

Research and Application of Intermediate Experiment Digitiza...

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Consumer Electronics and computer engineering (ICCECE), 2021 IEEE International conference on

作者： Jian Cao Feng Zhao Ziming Liu Deshui Tong Yuanfang Wang Shu Wang Oil production technology research institute PetroChina Liaohe Oilfield Liaoning China

ISBN: (数字)9798331533113

ISBN: (纸本)9798331533120

This paper focuses on the development and application of an intelligent basic platform for intermediate experiments, serving the oil production process. Through a series of methods such as hardware intelligent upgrading and transformation, establishing connections between programmable logic controllers and hardware devices based on Modbus protocol, designing configuration software to read and control display data in real time, the intelligent basic platform for intermediate experiments has been successfully developed. The research and development achievements include the design and completion of three sets of configuration systems, intelligent control of hardware working status, and real-time data reading and graphical display, providing efficient and intelligent platform support for experimental research in the industry.

关键词： Industries Protocols Machine learning algorithms Oils Hardware software Real-time systems Data mining Intelligent control Testing

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Improving software Defects Detection: An In-Depth Analysis of Machine Learning Methods and Static Analysis Tools for Greater Accuracy

Improving Software Defects Detection: An In-Depth Analysis o...

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Machine Learning and Autonomous systems (ICMLAS), International conference on

作者： Veer Bobade Chetan Puri Department of Artificial Intelligence and Machine Learning Faculty of Engineering And Technology DMIHER Wardha Maharashtra India Department of Computer Science and Engineering Faculty of Engineering And Technology DMIHER Wardha Maharashtra India

ISBN: (数字)9798331505745

ISBN: (纸本)9798331505752

Enhancing software quality and reducing testing expenses requires better software fault detection. To guarantee the dependability and usability of software, software Defect Prediction (SDP) uses machine learning approaches to anticipate and address any problems early in the development cycle. Numerous machine learning techniques, such as Support Vector Machines (SVM), Random Forest (RF), Logistic Regression, Naïve Bayes, Multilayer Perceptron (MLP), Decision Stump, J48, Lazy IBK, and ZeroR, are thoroughly examined in this work. With an emphasis on feature selection as a crucial step in increasing prediction accuracy and lower computing costs, these approaches are assessed for their capacity to detect software flaws precisely. This research study demonstrates how these models may improve fault identification and prevention procedures using historical records from sources such as the PROMISE repository. The study highlights the best practices for machine learning-based software quality assurance, lowering expenses while guaranteeing superior results.

关键词： Support vector machines Accuracy Machine learning algorithms software algorithms Machine learning software quality Multilayer perceptrons Feature extraction Prediction algorithms Random forests

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COMPEURO'90: Proceedings of the 1990 IEEE International conference on computer systems and software engineering--systems engineering

COMPEURO'90: Proceedings of the 1990 IEEE International Conf...

引用

Proceedings of the 1990 IEEE International conference on computer systems and software engineering - COMPEURO '90

ISBN: (纸本)0818620412

The proceedings contains 86 papers. The following topics are dealt with: design of complex computer-based systems;software testing and reliability;development environment architectures;system and software development methodologies;computer systems architectures;software development techniques;algorithms for VLSI;knowledge-based systems;management of software development;embedded systems analysis;integration and testing;executable specifications;validation and verification;industrial computer-based systems;software analysis and design;VLSI design;rapid prototyping;computer systems communications;and meta-issues in software engineering.

关键词： computer systems, Digital

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Efficient Fingerprint Database Organization for Optimized Recognition

Efficient Fingerprint Database Organization for Optimized Re...

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Emerging Smart Computing and Informatics (ESCI), conference on

作者： Jeffrey Jeeva Dhas Adhip Koshy Nishit Dua D. Ajitha Department of Software Systems School of Computer Science and Engineering Vellore Institute of Technology Vellore Tamil Nadu India Department of Software Systems School of Computer Science and Engineering Vellore Institute of Technology Vellore Vellore India

ISBN: (数字)9798331515683

ISBN: (纸本)9798331515690

A popular biometric identification method, renowned for its dependability and individuality in personal identification, is fingerprint recognition. This article presents an efficient fingerprint identification system that significantly reduces processing times for 100,000 fingerprints from 8 minutes to less than 5 seconds by utilizing multithreading, ANSI 378 templates, and Source AFIS. The system overcomes the time-consuming image-to-template conversion procedure and increases overall storage efficiency by utilizing parallel processing and preformatted templates (ANSI/ISO). The fingerprint matching system incorporates Directional Field, CNN models for identifying fingerprint types, and Finger Code methods to classify fingerprints, improving precision and efficiency.

关键词： Technological innovation Multithreading Law enforcement System performance Organizations Machine learning Fingerprint recognition Biometric identification Real-time systems Informatics

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Gender Gap in the Critical Infrastructure Research Community 19th

Gender Gap in the Critical Infrastructure Research Community

引用

19th International conference on Critical Information Infrastructures Security, CRITIS 2024

作者： Guariglia Migliore, Maria D’Agostino, Gregorio De Nicola, Antonio Rome Italy Sapienza University of Rome Department of Mechanical and Aerospace Engineering Via Eudossiana 18 Rome00184 Italy Rome Italy

ISBN: (纸本)9783031842597

A significant gender gap persists in STEM fields across many developed countries, despite encouraging policies. To develop effective solutions that narrow the gender gap in these fields, a deeper understanding of the root causes is essential. Quantifying the disparity is a crucial first step in any analysis. Specifically, we focus on the critical infrastructure sector. Our research delves into the participation of women in this domain by examining articles and conference proceedings published between 2006 and 2022 in the CRITIS conference. We meticulously analyzed the presence of women and their roles in these events to gain insights into gender representation, dynamics, and contribution within this field. To perform an automated gender identification based on names, we used a software called Cerbero-Lite. This takes names from dblp (developed at University of Trier in 1993) as input, extracts the first names, and, then, uses the Harvard Dataset to predict their genders. Subsequently, we performed a gendered assessment of the community by means of advanced social network analysis techniques. The research shows that, while a significant gender gap in favor of males exists in terms of participation, it does not reflect a difference in the ability of females to contribute to the development of the field. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Critical Infrastructure Gender Social Network Analysis

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Shifting Gears: A Systematic Literature Review of Process Model Transitioning in software engineering 22nd

Shifting Gears: A Systematic Literature Review of Process M...

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22nd International conference on software engineering Research and Practice, SERP 2024, and 23rd International conference on e-Learning, e-Business, Enterprise Information systems, and e-Government, EEE 2024, held as part of the World Congress in computer Science, computer engineering and Applied Computing, CSCE 2024

作者： Trank, Aaron Asada, Clayton Rahim, Muhammad Abdul Basit Ur Computer Engineering and Computer Science California State University Long Beach Long BeachCA United States

ISBN: (纸本)9783031866432

Process models are essential in guiding teams through the software development process. Initial process models, such as the waterfall model, offered clear and defined stages that must be completed sequentially before the next. However, they need to be more flexible and adaptable to the needs of businesses and their consumers. Newer process models are designed with versatility in mind, reflecting the ever-changing requirements of the software development industry to improve product speed and quality. The transition between process models can be complex and time-consuming, requiring careful coordination and training for many teams. Despite challenges, many groups recognize the benefits of newer process models that can help them respond to changing market demands. In this research, we conducted a systematic literature review (SLR) to find the current state of the process model transition. The Key concepts, challenges, and limitations are extracted from an SLR, and an empirical study is administered at Amazon and Experian. In the SLR, several factors for software process improvement are identified and further classified into seven categories. The responses are analyzed and compared with the current research literature to determine if the research literature properly covers real-world problems and challenges. Our findings show a disconnect between the current literature and realities experienced by process model practitioners and suggest areas for further research. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： software design

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Advanced Voltage and Reactive Power Control in Modern Distribution Networks with High Penetration of Distributed Generation: A Fuzzy Logic-Based Approach for 2025 Challenges 12

Advanced Voltage and Reactive Power Control in Modern Distri...

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12th Iranian conference on Renewable Energies and Distributed Generation, ICREDG 2025

作者： Azarinfar, Hossein Khosravi, Mohsen Sadoughi, Mahmood University of Gonabad Faculty of Electrical and Computer Engineering Department of Electrical Engineering Gonabad Iran

ISBN: (纸本)9798331525132

This paper presents a novel, efficient, and computationally lightweight approach for voltage and reactive power control in distribution networks with high penetration of distributed generation (DG) using advanced Fuzzy Logic techniques. Unlike traditional methods that rely on complex and time-consuming calculations, the proposed methodology ensures simplicity while maintaining precision and scalability. The core innovation lies in the dynamic modeling of DG's active and reactive power equations, which are adapted to the unique characteristics of electrical distribution networks, including overhead line conductors. This ensures optimal integration of DG without causing voltage violations or instability at the point of interconnection. To validate the accuracy and practical applicability of the proposed approach, extensive simulations were conducted on the IEEE 34-Node Test Feeder using ETAP software. The study evaluates the impact of capacitive compensation structures and DG integration under various load scenarios across three distinct cases, offering a comprehensive analysis of system performance. Results demonstrate significant improvements in voltage stability, reactive power management, and overall system efficiency. Additionally, the proposed framework provides a robust decision-making tool for optimal DG utilization, addressing the emerging challenges of modern power distribution systems in 2025 and beyond. This work sets a new benchmark for sustainable and intelligent voltage control in future smart grids. © 2025 IEEE.

关键词： Decision making

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