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

共 1965 条记录，以下是11-20 订阅

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On the security risk analysis method of open source software supply chain 4

On the security risk analysis method of open source software...

引用

4th International conference on Network Communication and Information Security, ICNCIS 2024

作者： Tang, Fuchuan Xie, Ming Ling, Ying Ming, Shaofeng Zhang, Wei Electric Power Research Institute of Guangxi Power Grid Co. Ltd. Guangxi Nanning China

ISBN: (数字)9781510688261

ISBN: (纸本)9781510688254

This paper presents a comprehensive assessment method of the security of open source components. The process is constructed using three analytical techniques: hierarchical analysis, expert scoring, and linear weighting. These techniques are employed to identify the parameters that affect the security of open source software. The parameters are then used to evaluate the security of open source components. The evaluation results can inform decisions on the introduction of open source components. © 2025 SPIE.

关键词： computer security Matrices Risk assessment Analytical research Chromium software development Classification systems Industrial applications

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Design and implementation of network security defense system based on deep learning 4

Design and implementation of network security defense system...

引用

4th International conference on Network Communication and Information Security, ICNCIS 2024

作者： Gao, Yang Lu, Xuezhong Abulikenmu, Gulixiati Su, Xuefei State Grid Xinjiang Electric Power Co. Ltd. Information and Communication Company Xinjiang Urumqi China

ISBN: (数字)9781510688261

ISBN: (纸本)9781510688254

With the growing popularity of the Internet and digital technology, network security threats are increasing, and people's demand for advanced security defense means is rising. By combining advanced deep learning algorithms, AI based network security defense systems can provide real-time, automated threat detection and response. They can not only detect known threat patterns, but also learn to identify new and unknown attack techniques. Based on the requirements of computer network security, this article designs a computer network security protection system. The system applies an artificial intelligence analysis engine and combines hardware and software design optimization to achieve multi-level security protection measures. After testing, the system has high capabilities in data capture rate, restoration rate, data encryption and protection, and can provide an effective solution for the security protection of computer networks. © 2025 SPIE.

关键词： software testing

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Interpersonal Synchrony Over a Distance - the Effect of Network Noise on Synchronization and its Prosocial Consequences 25

Interpersonal Synchrony Over a Distance - the Effect of Netw...

引用

Proceedings of the 2025 CHI conference on Human Factors in Computing systems

作者： Michal Rinott Sheizaf Rafaeli Noam Tractinsky Software and Information Systems Engineering Ben Gurion University of the Negev Be'er Sheva Israel and Kadar Design and Technology Center Shenkar - Engineering. Design. Art Ramat Gan Israel University of Haifa Haifa Israel and Shenkar - Engineering. Design. Art Ramat Gan Israel Software and Information Systems Engineering Ben Gurion University of the Negev Be'er Sheva Israel

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Research on instrument fault detection based on internet of things and machine learning 4

Research on instrument fault detection based on internet of ...

引用

4th International conference on computer Vision, Application, and Algorithm, CVAA 2024

作者： Li, Shixi Zhao, Chenchen Yang, Benchen Peng, Zihang Bi, Jiayi School of Software Liaoning University of Technology Liaoning Huludao China Liaoning Provincial Second Women's Prison Liaoning Shenyang China

ISBN: (数字)9781510687622

ISBN: (纸本)9781510687615

Modern industrial production, the industrial sector and daily life are inextricably linked to a plethora of chemical machinery and equipment, which serve as indispensable production apparatus. It is therefore paramount to guarantee their optimal functionality. It is therefore of great significance to the field of chemical machinery and equipment that fault monitoring is given due attention. The progressive advancement of computer and wireless communication technology has facilitated the maturation of expert diagnosis systems and the Internet of Things. Consequently, fault monitoring systems based on these technologies are poised for widespread adoption. In this work, the instrument operation data collected by IoT devices is used to undergo preliminary cleaning and normalization to ensure the consistency and accuracy of the data. This preprocessed data is then fed into a multi-layered deep neural network (DNN) model. In the model training stage, the backpropagation algorithm is used to calculate the gradient of each layer, and the weights and biases in the network are adjusted by the stochastic gradient descent (SGD) optimization algorithm to minimize the loss function. Through iterative training, the model gradually improves its ability to identify failure modes and predict accuracy. This approach enables deep neural networks to automatically learn complex fault signatures from large amounts of data and effectively detect and predict instrument failures in real-world applications. An experimental platform was set up in the LabView programming environment, equipped with 10 sensors, which were used to collect experimental data from the sensors and conduct fault monitoring experiments. The model shows high accuracy and robustness in different types of instrument fault detection, proving its effectiveness in practical industrial applications. © 2025 SPIE.

关键词： Deep neural networks

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Vela: A Virtualized LLM Training System with GPU Direct RoCE 25

Vela: A Virtualized LLM Training System with GPU Direct RoCE

引用

30th ACM International conference on Architectural Support for Programming Languages and Operating systems, ASPLOS 2025

作者： Mohan, Apoorve Walkup, Robert Karacali, Bengi Chen, Ming-Hung Kayi, Abdullah Schour, Liran Salaria, Shweta Wen, Sophia Chung, I-Hsin Alim, Abdul Evangelinos, Constantinos Luo, Lixiang Dombrowa, Marc Schares, Laurent Sydney, Ali Maniotis, Pavlos Koteshwara, Sandhya Tang, Brent Belog, Joel Odaira, Rei Tarasov, Vasily Gampel, Eran Thorstensen, Drew Gershon, Talia Seelam, Seetharami Ibm Research Yorktown HeightsNY United States Ibm Research Bethesda United States Ibm Research Haifa Israel Ibm Research CambridgeMA United States Ibm Cloud RochesterNY United States Ibm Cloud LowellMA United States Ibm Cloud AustinTX United States Ibm Research AlmadenCA United States Ibm Cloud Haifa Israel Ibm Cloud DurhamNC United States

ISBN: (纸本)9798400710797

Vela is a cloud-native system designed for LLM training workloads built using off-the-shelf hardware, Linux KVM-based virtualization, and a virtualized RDMA over Converged Ethernet (RoCE) network. Vela virtual machines (VMs) support peer-to-peer DMA between the GPUs and SRIOV-based network interface. In this paper, we share Vela's key architectural aspects with details from an NVIDIA A100 GPU-based deployment in one of the IBM Cloud data centers. Throughout the paper, we share insights and experiences from designing, building, and operating the system over a ∼2.5 year timeframe to highlight the capabilities of readily available software and hardware technologies and the improvement opportunities for future AI systems, thereby making AI infrastructure more accessible to a broader community. As we evaluated the system for performance at ∼1500 GPU scale, we achieved ∼80% of the ideal throughput while training a 50 billion parameter decoder model using model parallelism, and ∼70% per GPU FLOPS compared to a single VM with the High-Performance Linpack benchmark. © 2025 ACM.

关键词： computer graphics equipment

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Improving Faster R-CNN for Vehicle Detection under Varying Conditions with Domain Adaptation Technique

Improving Faster R-CNN for Vehicle Detection under Varying C...

引用

Power, Control and Computing Technologies (ICPC2T), conference on

作者： Hemant Kumar Pushpa Mamoria Deepak Kumar Dewangan Department of Computer Science & Engineering Chhatrapati Shahu Ji Maharaj University Kanpur India Department of Computer Application Chhatrapati Shahu Ji Maharaj University Kanpur India Department of Computer Science & Engineering ABV-IIITM Gwalior India

ISBN: (数字)9798331530402

ISBN: (纸本)9798331530419

In recent years, the rapid progress in autonomous driving technology has transformed the automotive industry, positioning vehicle detection as a vital component to guarantee secure and efficient navigation. This article presents an upgraded Faster R-CNN architecture that incorporates a SelfSupervised Thermal Network (SSTN) to advance vehicle detection, specifically in unfavorable weather conditions. This model is built using MobileNetV3 as its backbone and is enhanced with a Feature Pyramid Network (FPN) for extracting features at multiple scales. Additionally, it employs self-training and pseudo-labeling techniques to facilitate domain adaptation. The model is trained and tested using the DAWN dataset, which includes difficult scenarios such as fog, rain, sandstorms, and snowstorms. Experimental results demonstrate that the improved Faster R-CNN with SSTN significantly outperforms some modern methods, achieving an accuracy of 87.15%, a mean Average Precision (mAP) of 85.20%, and a recall rate of 81.37%. Although it lacks behind the traditional method like HOG-SVM. This approach enhances the reliability of vehicle detection systems in varying environmental conditions, making it a valuable contribution to the development of robust autonomous driving systems.

关键词： Adaptation models Rain Accuracy Storms Vehicle detection Snow Feature extraction Reliability Autonomous vehicles software development management

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FEniCSx-Based Effective Scheme for the Cahn-Hilliard Equation

FEniCSx-Based Effective Scheme for the Cahn-Hilliard Equatio...

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Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT), International conference on

作者： Harsh Bhutra Bettina Ann Thomas K Shreya Shri T.V. Smitha Nizampatnam Neelima Department of Electronics and Communication Amrita School of Engineering Amrita Vishwa Vidyapeetham Bengaluru India Computational Science Lab Amrita School of Engineering Amrita Vishwa Vidyapeetham Bengaluru India

ISBN: (数字)9798350356236

ISBN: (纸本)9798350356243

The Cahn-Hilliard equation is a fourth-order parabolic partial differential equation that is challenging and time-intensive to solve using conventional methods. Although the equation is difficult to solve, it finds its use cases in many aspects of science including but not limited to the study of phase separation in the binary, isotropic and isothermal mixtures of materials such as molten alloys. Some of the other applications are Bioinformatics, Computational Biology, Biomedical informatics, human activity recognition, Healthcare, computer vision, Climate Science and Natural Language Processing. Many researchers have come up with a way to deal with partial differential equations, but very few works and methods deal with different orders of partial differential equations. In this article, a novel and effective scheme for solving the Cahn-Hilliard equation is proposed using FEniCS. The time of execution and relative tolerance of the solutions of this equation are computed from methods of direct computation and parallel processing which is carried out for the equation with higher-order finite element method for various boundary conditions to demonstrate the efficiency of the proposed approach. The solution thus obtained helps in understanding the non-linear behaviour of the equation with the help of a three-dimensional heatmap plot. This work solves the Cahn Hilliard equation by using the in-built libraries, Dolphin an open-source software called FEniCS and Message Passing Interface (MPI). The MPI is responsible for achieving parallelism in high-performance computing environments and breaks down the problem into four smaller parts making it faster to get to the solution. The obtained results demonstrate that this approach outperforms the existing literature by achieving a forty percent faster computational speed. The approach will be very useful in solving many similar problems arising in the field of science and engineering.

关键词： Heating systems Accuracy Three-dimensional displays Partial differential equations Parallel processing Boundary conditions Mathematical models Libraries Computational efficiency Bioinformatics

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Management of CASE technology

Management of CASE technology

引用

fourth israel conference on computer systems and software engineering

作者： Rogoway, Paul Motorola Israel Ltd Tel Aviv Isr

ISBN: (纸本)0818689722

A proposal for the establishment of a framework for the efficient introduction and ongoing support of CASE (computer-aided software engineering) technology for medium- and large-sized organizations is presented. The major components of the organization are: a director of software engineering technology;a software engineering technology center;and a software engineering council. Each of these components is described.

关键词： computer software

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Introducing tools for analysing and designing data processing systems

Introducing tools for analysing and designing data processin...

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fourth israel conference on computer systems and software engineering

作者： Bar-David, Asher Israel Aircraft Ind Ltd Isr

A review is presented of the circumstances that motivated the analysis and design of data processing systems. Problem areas are briefly sketched. Recommendations based on the author's experience at MAMAN, the data... 详细信息

ISBN: (纸本)0818689722

关键词： computer software

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CASE for re-engineering

CASE for re-engineering

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fourth israel conference on computer systems and software engineering

作者： Eldan, Anya Lerman, Naftali Borovits, I. Adv Technol Ltd Neve Sharet Isr

ISBN: (纸本)0818689722

CASE (computer-aided software engineering) technology and software maintenance issues, for the aerospace, defense, and engineering software development environment, are analyzed. The authors conclude that an integrated CASE re-engineering environment is required as an effective solution for software maintenance ills. Such an environment is suggested based on the superCASE toolset and a practical reverse engineering capability.

关键词： computer software

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