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

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Cloud Based Automated Control System Workshops and Rooms for Controlling Parameters

Cloud Based Automated Control System Workshops and Rooms for...

引用

Advances in computer Science, Electrical, Electronics, and Communication Technologies (CE2CT), International conference on

作者： Dinesh Kumar Ravinder Singh Kuntal Pragya Deep Anup Shekhar Chamoli Pinki Singh Rishabh Mandal Department of Computer Science and Engineering SRM Institute of Science & Technology Ghaziabad UP Department of Mathematics Nitte Meenakshi Institute of Technology Bangalore Karnataka India Department of AI & DS IIMT College of Engineering Greater Noida India Uttaranchal School of Computing Sciences Uttaranchal University Dehradun India Department of Computer Science and Engineering Accurate College of Engineering & Management Greator Noida India Department of Computer Science and Engineering Tula's Institute Dehradun UK India

ISBN: (数字)9798331518578

ISBN: (纸本)9798331518585

Across all industries, cloud-based automated control systems have completely changed how operational and environmental parameters are tracked and controlled. With cloud-integrated systems for real-time data collection, processing, and control, this concept presents intelligent, remote-controlled workshops and control rooms. To guarantee accurate control of crucial variables like temperature, humidity, pressure, and equipment efficiency, these systems make use of IoT devices, AI techniques, and big data analytics. Through sophisticated data perspectives, the cloud-based strategy enables predictive maintenance, improves flexibility, and lowers operating expenses. Stakeholders may make prompt, data-driven choices from anywhere with remote access to control rooms. These seminars provide practical experience with cloud-controlled settings and function as training and development centres. The system's flexibility to meet a range of industrial demands is further enhanced by its compatibility with external tools and equipment. The design, deployment, and possible uses of cloud-based control systems are covered in this paper, with an emphasis on how they might promote operational excellence, energy efficiency, and smart manufacturing.

关键词： Knowledge engineering Machine control Clouds Control systems software Machine tools Security Time factors Personnel Standards

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A Study on the Evaluation of Cyber Security Vulnerabilities in Medical software

A Study on the Evaluation of Cyber Security Vulnerabilities ...

引用

International conference on Electronics, Information and Communications (ICEIC)

作者： Jeong-Hyun Woo Jee-Hyun Koo Byung-Suk Seo Sun-Young Son Kwang-Man Ko Dept. of Computer Engineering Sang-Ji University Republic of Korea Dept. of Bigdata Science Sang-Ji University Republic of Korea Dept. of Electrical and Electronic Engineering Sang-Ji University Republic of Korea

ISBN: (数字)9798331510756

ISBN: (纸本)9798331510763

In this paper, we examine the cybersecurity vulnerability assessment method of medical software. Medical software processes patient sensitive data and is linked to various medical devices and systems in real time. Due to these characteristics, medical software is highly likely to be exposed to various cybersecurity threats such as ransomware, data leakage, and medical device hacking. Based on the international standard IEC TS 60601-4-5, we propose threat modeling, vulnerability scanning, and penetration testing as a methodology for assessing the security vulnerabilities of medical software. Through this, we can identify security vulnerabilities in advance and prepare measures to respond quickly. We can prevent security threats and improve the safety of medical software through response strategies such as security patches and updates, network separation, data encryption, and security education. In conclusion, strengthening the security of medical software is essential to maintain patient safety and the reliability of the medical system, and systematic security assessment and continuous response are required.

关键词： Threat modeling Medical devices Education software software reliability Encryption computer crime IEC Standards Standards Penetration testing

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The Application of Social Media in College English Teaching: Data Analysis and Visualization Research

The Application of Social Media in College English Teaching:...

引用

software engineering and computer Science (CSECS), International conference on

作者： Bing Zhang Junteng Wang Ning Ma Key Laboratary of China's Ethnic Languages and Information Technology of Ministry of Education Northwest Minzu University Lanzhou China

ISBN: (数字)9798331522216

ISBN: (纸本)9798331522223

In the era of fragmented learning, using social media for English learning has become mainstream. College English teaching requires continuous understanding of students' online and offline learning situations and needs. Information such as the English learning topics discussed by students on social media and the areas of learning they focus on will provide important references for teachers in planning teaching and selecting teaching cases. This paper collects relevant college student English topic information from the Weibo platform and applies the GPU-DMM (Graphic Processing Unit-Dirichlet Multinomial Mixtures) semantically enhanced topic model to perform topic mining on English topics. It obtains the corresponding document-topic distribution and topic-word distribution, analyzes the differences between different topics, and identifies the focus points of college students in English learning. Finally, the information of different topics is visually displayed to systematically reflect the topical characteristics of college student English discussions.

关键词： Adaptation models Social networking (online) Education Blogs Semantics Data visualization Tag clouds Data mining Recommender systems software engineering

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Leveraging Neuromorphic Computing for Efficient and Scalable Data Analytics

Leveraging Neuromorphic Computing for Efficient and Scalable...

引用

Advancement in Computation & computer Technologies (InCACCT), International conference on

作者： Shubham Gupta Ishwar Bansal Geeta Geeta Model Institute of Engineering and Technology Jammu J&K India Software Developer Amazon Development Center Herndon USA School of Sciences Geeta University Panipat India

ISBN: (数字)9798331543891

ISBN: (纸本)9798331543907

Neuromorphic computing is a new data analytical paradigm that mimics the behavior of biological neural systems to offer better computational power. State-of-the-art performance in conventional deep learning models (CNNs and transformers) comes at the expense of exorbitant energy and computation time. The real-time processing, low latency, and better energy efficiency make neuromorphic architectures to be a more appealing solution to kiosks where inferences on a large scale of data are being performed. In this paper, we discuss neuromorphic computing, how it can minimize data processing, its superiority compared to traditional AI models, and its future selection for diverse applications. Neuromorphic systems demonstrate a scalable way to the next-generation artificial intelligence by taking advantage of event-driven processing and dedicated hardware

关键词： Deep learning Data analysis Neuromorphic engineering Computational modeling Biological system modeling computer architecture Real-time systems Energy efficiency Data models Artificial intelligence

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Real-Time, Multistatic RFID Localization with Commodity, Unsynchronized Radios

Real-Time, Multistatic RFID Localization with Commodity, Uns...

引用

IEEE International conference on RFID

作者： Dimitrios Angelou Aggelos Bletsas School of Electrical and Computer Engineering Technical University of Crete Chania Greece Dept. of Electrical and Computer Engineering Rutgers WINLAB The State University of New Jersey

ISBN: (数字)9798331509057

ISBN: (纸本)9798331509064

Passive RFID tag localization has been mostly focused on monostatic and/or synchronized setups. This work moves a few steps further and performs real-time localization with distributed, i.e., multistatic radios, which are also unsynchronized at the carrier level. It succeeds by exploiting the elliptical direction of arrival (EllDoA) algorithm with a “playback” carrier frequency offset (CFO) mitigation method, showing localization feasibility at a small error cost, even with very cheap software defined radios. The inherent carrier phase offset (CPO) of such distributed setups is addressed, and it is shown that the calibration step needs to be performed only once, and not for further reruns of the experiment; thus, the proposed method is suitable for many real-world and real-time applications, which has not been shown before, to the best of our knowledge.

关键词： Location awareness Three-dimensional displays Prevention and mitigation Scalability software algorithms Real-time systems Calibration Synchronization Radiofrequency identification software radio

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Survey on Operational Metrics for Reliable Machine Learning systems

Survey on Operational Metrics for Reliable Machine Learning ...

引用

IEEE International conference on software Architecture Workshops (ICSAW)

作者： Anders Launer Bæk-Petersen SDU Software Engineering Odense Denmark

ISBN: (数字)9798331533366

ISBN: (纸本)9798331533373

Operational metrics for Machine Learning systems (MLsystems) are crucial for maintaining consistent performance in real-world applications. However, achieving this reliability is challenging due to the need for standardized metrics designed for MLsystems functioning in dynamic and uncertain conditions. This literature survey explores reliable MLsystems, aiming to unify the current advancements, highlight knowledge gaps, and suggest future research paths for reliable MLsystems. Our research highlights significant advancements in developing Self-Adaptive System (SAS) architectures focused on MLSystem applications. The survey underscores the importance of contemporary software engineering standards, SAS architectures, and N-Version Programming (NVP) in attaining reliable MLsystems. However, more attention is required on operational metrics that capture upstream stimuli and downstream responses. Thus, a major challenge lies in creating a reliable MLSystem that operates independently of the Machine Learning (ML) artifact, ensuring that upstream sources produce expected downstream responses, even in a changing environment. The paper advocates for architectural focus, ensuring reliable MLSystem metrics from real-world case studies. This research trajectory lays a foundation for future reliable MLSystem studies, aiming to improve the Technology Readiness Level (TRL) for predictive manufacturing, diagnostics, and electricity grid management applications.

关键词： Measurement Surveys software architecture Machine learning computer architecture Reliability engineering software reliability Reliability Synthetic aperture sonar Standards

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GPT Voice-Driven Natural Language Control for ArduPilot-Guided UAVs

GPT Voice-Driven Natural Language Control for ArduPilot-Guid...

引用

IEEE SSD International Multi-conference on systems, Signals and Devices

作者： Mohammad Al Khawaldah Omar Daoud Saqer S. Alja'afreh Aser M. Matarneh Mechatronics Engineering Department Al-Balqa Applied University Jordan Electrical and Computer Engineering American International University Aljahra Kuwait

ISBN: (数字)9798331542726

ISBN: (纸本)9798331542733

This research work introduces a new system that utilizes Generative Pretrained Transformer (GPT) Large Language Models (LLMs) to enable language-based control for Unmanned Aerial Vehicles (UAVs). The system enables nonexpert users to easily control UAVs using natural language. It integrates GPT-4o-mini model with the widely used open-source ArduPilot software. The developed system supports both audio and written inputs and accommodates multiple languages. The LLM reasons about the request and generates the required functionality. OpenAI's API (Application Programming Interface) and Function Calling are used to implement the task.

关键词： Flowcharts Large language models Natural languages systems architecture Autonomous aerial vehicles Transformers software systems support Application programming interfaces

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The Development and Application of Virtual Experiment Platform for Function Parameter Passing

The Development and Application of Virtual Experiment Platfo...

引用

International conference on Educational and Information Technology (ICEIT)

作者： Shengli Tian Tao Hu Genyuan Du School of Information Engineering Xuchang University Xuchang China

ISBN: (数字)9798331540883

ISBN: (纸本)9798331540890

As computer programs run in the highly complex systems of hierarchical software and hardware, it is difficult to be visually observed, the problem of function parameter passing has become a pain point for teachers and students. There are four ways to pass parameters, and no programming language can support all the four ways. To meet the needs of different learners, an online virtual experiment platform of parameter passing is developed, where the experiments of four methods parameter passing can be carried out. In addition, the experiments could be done by a mobile phone, which the space-time limit of learning is broken. In virtual simulation module, the dynamic changes of computer memory could be simulated and displayed when the function pseudo-code is running, so that the parameter passing process becomes intuitive, and it is easy for students to understand the working mechanism of function parameter passing. Finally, the teaching goal is achieved by the joint action of the other modules, such as basic training, extended improvement and test enhancement, etc. The results of practice show that the enthusiasm and initiative of students are improved, and it has obvious results in assisting students to master the knowledge of function parameter passing.

关键词： Training Learning management systems computer languages Pain Active learning software Mobile handsets Hardware Information technology Complex systems

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A Generic System Architecture for the Design and Development of a Humanoid Digital Twin

A Generic System Architecture for the Design and Development...

引用

Innovation in Computing and engineering (ICE), International conference on

作者： Alan Jimcy Vivek Goutam Sudarshan Sridhar Srinivas A Dept. of CSE RNS Institute of Technology Bengaluru India Dept. of CSE-DS RNS Institute of Technology Bengaluru India

ISBN: (数字)9798350380460

ISBN: (纸本)9798350380477

The Humanoid Digital Twin (HDT) has found several applications in Industrial Automation, Healthcare etc. and has been the subject of interest for researchers. Since it involves intricate hardware and software interfaces, there is a real need to evolve newer architectures that seamlessly enable the working of the humanoid and its digital twin with good synchronization for real time applications. This paper proposes a generic architectural framework for developing a HDT. The architecture has been validated by the implementation of the Humanoid integrated with the digital twin. Also emphasized is the mechanism to make sure, the movement from one position to the other is smooth.

关键词： Technological innovation Automation Humanoid robots systems architecture Medical services computer architecture Real-time systems software Digital twins Synchronization

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Parameterized Model for Fork Antenna Design in UWB Band Using Fully Connected Artificial Neural Networks 26th

Parameterized Model for Fork Antenna Design in UWB Band Us...

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26th International conference on Artificial Intelligence and Applications, ICAI 2024, held as part of the World Congress in computer Science, computer engineering and Applied Computing, CSCE 2024

作者： Adegboye, Olaoluwa Li, Xiangfang Qian, Lijun CREDIT Center and Electrical and Computer Engineering Department Prairie View A&M University Prairie View 77446 TX United States Texas A&M University System College Station United States

ISBN: (纸本)9783031866227

This study introduces a novel approach for designing fork antennas optimized for the Ultra-Wideband (UWB) frequency band using machine learning. The aim is to develop a parameterized model predicting antenna dimensions based on given performance indices. Leveraging parameter sweep techniques, a dataset capturing the relationship between antenna design (dimensions) and the corresponding performance metrics was generated in CST Microwave Studio. Then the generated dataset was used to train a fully connected Artificial Neural Network (ANN) model where the inputs are the performance metrics and the outputs are the corresponding antenna dimensions. It is demonstrated that the trained ANN model can determine the optimal antenna dimensions very efficiently given the desired performance indices comparing to existing antenna design software. This approach accelerates innovation in 5G communication systems and contributes to ongoing efforts in 6G communication research. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： 5G Antenna Design Artificial Neural Network Machine Learning Ultra-Wideband

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