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检索条件"任意字段=5th Israel Conference on Computer Systems and Software Engineering"

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Multi-channel Avionics Module Fault Classification Based on Inception-CBAM Network

Multi-channel Avionics Module Fault Classification Based on ...

引用

Electronic Communication and Artificial Intelligence (IWECAI), International Workshop on

作者： Lubin Yu YiXi Peng Xingjian Han Shuqi Liang Peiliang Yang Junbin Liu Shilie He China Electronic Product Reliability and Environmental Testing Research Institute Guangzhou China School of Software Engineering Sun Yat-Sen University Zhuhai China School of Computer Science and Technology Shandong University of Technology Zibo China

ISBN: (数字)9798350386943

ISBN: (纸本)9798350386950

In today's highly integrated and automated aviation field, the stable operation of avionics systems is the foundation for maintaining flight safety and efficient operations. Because of the shortcomings in research on fault classification of avionics modules, this study proposes an Inception-CBAM network model, aiming to improve the accuracy and efficiency of fault diagnosis. this model combines the powerful multi-scale feature extraction capability of the Inception network with the attention mechanism of the CBAM module, which greatly enhances the ability to identify complex fault patterns. Experimental verification shows that the model can effectively classify various faults, enhance the scientificity and systematicness of diagnosis, and contribute important technical support to the formulation of aviation safety maintenance and fault prevention strategies.

关键词： Fault diagnosis Systematics Attention mechanisms Prevention and mitigation Aerospace electronics Feature extraction Data models

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Jaccard Index in Ensemble Image Segmentation: An Approach 22

Jaccard Index in Ensemble Image Segmentation: An Approach

引用

Proceedings of the 2022 5th International conference on Computational Intelligence and Intelligent systems

作者： Daniel Ogwok Elizabeth Marie Ehlers Academy of Computer Science and Software Engineering University of Johannesburg South Africa

ISBN: (纸本)9781450397612

Many methods have been applied to image segmentation, including unsupervised, supervised, and even deep learning-based models. Semantic and instance segmentation are the two most widely researched forms of segmentation. It is of value to use multiple methods to segment an image. In this paper, we present an image segmentation ensemble methodology. Multiple image segmentation methods are applied to an image and merged to create one segmentation using the proposed method. the technique uses the Jaccard index algorithm, sometimes called the Jaccard similarity coefficient and commonly known as Intersection over Union (IoU). this resulted in better segmentation results than the respective individual segmentation methods. this experiment was applied to mathematical expression recognition (MER), with the expressions taken from blackboards with varying degrees of noise, and lighting conditions, from different classroom environments. A summary of empirical results from the segmentation of multiple images is presented in the paper.

关键词： Jaccard index Region-based convolutional neural network Minimum spanning tree Image segmentation ensembles. Connected components labelling Image segmentation

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Managing Industrial Communication Delays with software-Defined Networking

Managing Industrial Communication Delays with Software-Defin...

引用

IEEE International conference on Embedded and Real-Time Computing systems and Applications (RTCSA)

作者： Rutvij H. Jhaveri Rui Tan Arvind Easwaran Sagar V. Ramani Delta – NTU Corporate Laboratory for Cyber-Physical Systems Nanyang Technological University Singapore School of Computer Science and Engineering Nanyang Technological University Singapore Department of Computer Engineering Government Polytechnic Porbandar India

Recent technological advances have fostered the development of complex industrial cyber-physical systems with communication delay requirements. the consequences of delay requirement violation in such systems may become increasingly severe. In this paper, we propose a contract-based fault-resilient methodology which aims at managing the communication delays of network flows in industries. With this objective, we present a lightweight mechanism to estimate end-to-end communication delays in the network where the clocks of the switches are not synchronized. the mechanism aims at providing high level of accuracy with little communication overhead. We then propose a contract-based framework using software-defined networking (SDN) where the components are associated with delay contracts and a resilience manager. the proposed resilience management framework contains: (1) contracts which state requirements about components' behaviors, (2) observers which are responsible to detect contract failure (fault), (3) monitors to detect events such as run-time changes in the delay requirements and link failure, (4) control logic to take suitable decisions based on the type of the fault, (5) resilience manager to decide response strategies containing the best course of action as per the control logic decision. Finally, we present a delay-aware path finding algorithm which is used to route/reroute the network flows to provide resilience in the case of faults and, to adapt to the changes in the network state. Performance of the proposed framework is evaluated with the Ryu SDN controller and Mininet network emulator.

关键词： Delays Resilience Contracts Real-time systems Control systems Quality of service Monitoring

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Analysis of Joint Channel Estimation and Joint Data Detection in TD-SCDMA systems

Analysis of Joint Channel Estimation and Joint Data Detectio...

引用

Asia-Pacific conference on Communications

作者： Ali K. Marzook A. Ismail B. M. Ali A. Sali Mohannad H. Khalaf S. Khatun Department of Computer and Communication Systems Engineering Faculty of Engineering University Putra Malaysia Computer Engineering Department Basrah University Faculty of Computer Systems and Software Engineering University Malaysia Pahang

ISBN: (纸本)9781457703898

Time Division-Synchronous Code Division Multiple Access (TD-SCDMA) has several attractive characteristics that made it capable of meeting the requirements of G4 systems when applied as a platform directly. Joint detections, the unpaired spectrums with flexible sharing of resources, and some other advanced properties leads TD-SCDMA to achieve high data rate services. In this paper a comprehensive analysis is presented that involve accurate Joint Channel Estimation (JCE) for traditional and enhanced estimators based on two criterions: Least square (LS) & Minimum Mean Square Error (MMSE) at two scenarios of users' movements. In addition to a comprehensive Multi-Users Joint Detection (MUJD) is improved to mitigate Multiple Access Interference (MAI) and Inter-Symbol Interference (ISI) using the following detectors: Matched Filter (MF), Zero Forcing Block Linear Equalizer (ZF-BLE), and Minimum Mean Square Error Block Linear Equalizer (MMSE-BLE) for traditional and enhanced channel estimation criterions. Simulation results showed that equalizers fed by Channel Impulse Response (CIR) optimized according to enhanced LS or MMSE give a better performance to that ones when CIR obtained from traditional LS or MMSE criterion. the using of MMSE give the opportunity to implement adaptive equalizes to cope with fast fading and/or non stationary interference environments.

关键词： TD-SDMA system Joint channel estimation (JCE) Multi-users joint detection (MUJD)

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LLMParser: An Exploratory Study on Using Large Language Models for Log Parsing

LLMParser: An Exploratory Study on Using Large Language Mode...

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International conference on software engineering (ICSE)

作者： Zeyang Ma An Ran Chen Dong Jae Kim Tse-Hsun Peter Chen Shaowei Wang Software PEformance Analysis and Reliability (SPEAR) Lab Concordia University Montreal Quebec Canada Electrical and Computer Engineering Department University of Alberta Edmonton Alberta Canada Department of Computer Science University of Manitoba Winnipeg Manitoba Canada

ISBN: (数字)9798400702174

ISBN: (纸本)9798350382143

Logs are important in modern software development with runtime information. Log parsing is the first step in many log-based analyses, that involve extracting structured information from unstructured log data. Traditional log parsers face challenges in accurately parsing logs due to the diversity of log formats, which directly impacts the performance of downstream log-analysis tasks. In this paper, we explore the potential of using Large Language Models (LLMs) for log parsing and propose LLMParser, an LLM-based log parser based on generative LLMs and few-shot tuning. We leverage four LLMs, Flan-T5-small, Flan-T5-base, LLaMA-7B, and ChatGLM-6B in LLMParsers. Our evaluation of 16 open-source systems shows that LLMParser achieves statistically significantly higher parsing accuracy than state-of-the-art parsers (a 96% average parsing accuracy). We further conduct a comprehensive empirical analysis on the effect of training size, model size, and pre-training LLM on log parsing accuracy. We find that smaller LLMs may be more effective than more complex LLMs; for instance where Flan-T5-base achieves comparable results as LLaMA-7B with a shorter inference time. We also find that using LLMs pre-trained using logs from other systems does not always improve parsing accuracy. While using pre-trained Flan-T5-base shows an improvement in accuracy, pre-trained LLaMA results in a decrease (decrease by almost 55% in group accuracy). In short, our study provides empirical evidence for using LLMs for log parsing and highlights the limitations and future research direction of LLM-based log parsers.

关键词： Training Analytical models Runtime computer architecture Inference algorithms Data mining Task analysis

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Challenges: Bridge between cloud and IoT

Challenges: Bridge between cloud and IoT

引用

IEEE International conference on engineering Technologies and Applied Sciences (ICETAS)

作者： Mohammad Riyaz Belgaum Safeeullah Soomro Zainab Alansari Shahrulniza Musa Muhammad Alam Mazliham Mohd Su'ud Department of Computer Studies AMA International University Kingdom of Bahrain Malaysian Institute of Information Technology Universiti Kuala Lumpur (UniKL MIIT) Kuala Lumpur Malaysia Department of Computer Science & Information Technology University of Malaya Kuala Lumpur Malaysia College of Computer Science and IS (IOBM) Karachi Pak Institute of Post Graduate Studies Universiti Kuala Lumpur (UniKL IPS) KL Malaysia Malaysia France Institute Universiti Kuala Lumpur (UniKL MFI) Malaysia

In the real time processing, a new emerging technology where the need of connecting smart devices with cloud through Internet has raised. IoT devices processed information is to be stored and accessed anywhere needed with a support of powerful computing performance, efficient storage infrastructure for heterogeneous systems and software which configures and controls these different devices. A lot of challenges to be addressed are listed with this new emerging technology as it needs to be compatible with the upcoming 5G wireless devices too. In this paper, the benefits and challenges of this innovative paradigm along with the areas open to do research are shown.

关键词： Cloud computing Internet of things Business IP networks Information technology Smart devices

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A Web-Based Platform for Clients and Designers to Prototype Web Sites

A Web-Based Platform for Clients and Designers to Prototype ...

引用

International conference on Network-Based Information systems (NBIS)

作者： Tsukasa Soutome Dandy Kwong Ling Michitoshi Niibori Masaru Kamada Graduate School of Science and Engineering Ibaraki University Hitachi Japan Department of Computer and Information Sciences Ibaraki University Hitachi Japan

A web-based tool for creating web sites is presented where clients and designers work together toward their goal. It is similar to *** with respect to being fully online and capable of sharing half-cooked web pages among the clients and designers. the present tool is different from mockingbird with respect to the way the clients interact with the designers. We allow for dynamic components built on the web pages so that the clients can check how they dynamically look to the users. Feedback from the clients can be placed as comments on the pages so that the clients operation may not destroy the pages. this tool is written in JavaScript and HTML5.

关键词： Prototypes Usability software prototyping Web pages Educational institutions

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Modelling of educational data following big data value chain 17

Modelling of educational data following big data value chain

引用

18th International conference on computer systems and Technologies, CompSysTech 2017

作者： Petrova-Antonova, Dessislava Georgieva, Olga Ilieva, Sylvia Department of Software Engineering Sofia University Bulgaria

ISBN: (纸本)9781450352345

Big Data is attracting increasing amount of attention among academy, industry and citizens. It poses both opportunities and challenges for society as a whole. In order to gain value from Big Data, it needs to be processed and analysed in an appropriate way, and the results have to be presented in a visual manner as to be able to effectively support decision making. Following the current trends in Big Data, this paper aims to prove the value-creation of Big Data by proposing a new data model in the field of the primary and secondary education in Bulgaria. It follows the Big Data Value Chain concept in order to group the schools depending on the concentration of students with learning deficits and risk of premature leaving the education system. the primary purpose of the proposed Data Model is to drive decisions by turning information into intelligence. © 2017 Association for Computing Machinery.

关键词： Big data

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Artificially Intelligent Operating System with Sapi5 Voice Recognition Engine

Artificially Intelligent Operating System with Sapi5 Voice R...

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International conference on Smart Computing & Communications (ICSCC)

作者： S Sumathi N Nivetha J Princy Jovita Department of Information Technology St. Joseph's College of Engineering Chennai India

A machine’s or computer’s intelligence is used by an artificial intelligence operating system to manage computer hardware and software and offer common services for the computer, allowing it to tackle difficult issues with ease. AIOS is a humanoid system that performs various activities to satisfy the needs of the user. they can gather the inputs from the user using voice to text conversion and provide the desired output. the system is developed in such a way that it can show you the date & time, conversion of voice into text, can play music according to the user’s request, can tell a joke and can answer to the user’s questions, can search, and show the results in google, YouTube, Wikipedia and it can also perform the power operations. Artificial Intelligence encompasses a range of fields, including Intelligent systems, Fuzzy Logic systems, Natural Language Processing, Expert systems, and Artificial Neural Networks. Together, these technologies can be harnessed to create an Artificially Intelligent Operating System that simplifies the adoption of new techniques and proves invaluable in our daily lives. this also helps physically challenged people to utilize and gain easier access to resources.

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Performance and Power Analysis of High-Density Multi-GPGPU Architectures: A Preliminary Case Study

Performance and Power Analysis of High-Density Multi-GPGPU A...

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IEEE International conference on High Performance Computing and Communications (HPCC)

作者： Yuxiang Gao Saeed Iqbal Peng Zhang Meikang Qiu Global Solution Engineering Group Dell Inc. Round Rock United States Biomedical Engineering Department Stony Brook University Stony Brook United States Computer Science Department Pace University New York United States

A system architecture with high-density general purpose graphic processing unit (GPGPU) is emerging as a promising solution that can offer high compute performance and performance-per-watt for building cluster supercomputers. the raw compute power of these heterogeneous systems greatly exceeds the current prevailing homogenous systems, motivating their rapid adoption. these heterogeneous systems do however increase the complexity of developing parallel applications and there is a need to investigate the compute performances and associated power consumption of common benchmarks and scientific computing applications. In this paper, we present the performance and power studies through using the Dell C4130 server that integrates up to 4 GPGPU cards and NVIDIA GPGPU K80 is used. the high performance Linpack (HPL) and molecular dynamics (MD) simulators including NAMD, LAMMPS and GROMACS are tested. through comparing 4-K80 and 2-Xeon E5-2690 v3 systems, we show that: (1) for HPL tests, the 4- GPU server delivers up to 7 TFLOPS that is 9 times faster than the 2-CPU system and its power efficiency is 4 GFLOPS per Watt, (2) for MD tests, NAMD on 4-GPU server achieves 7.8 times speedup and it uses 2.3 times power consumption compared to 2-CPU system, and LAMMPS achieves 16 times speedup and it uses 2.6 times power consumption, and GROMACS achieves 3.3 times speed up and it uses 2.6 times power consumption. these preliminary results demonstrated that the novel high-density multi-GPGPU architecture offers high performances for computing intensive applications and molecular simulators with superior power efficiencies in a space efficient design. In future, such heterogeneous architecture could be a powerful alternative solution for next generation supercomputer systems.

关键词： Servers Power demand computer architecture Graphics processing units Cooling Benchmark testing

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