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检索条件"任意字段=Conference on High Performance Computer Modernization Program"

共 10394 条记录，以下是841-850 订阅

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Area And Speed-Efficient Vedic RISC Processors for Embedded Systems 13

Area And Speed-Efficient Vedic RISC Processors for Embedded ...

引用

13th IEEE International conference on Communication Systems and Network Technologies, CSNT 2024

作者： Thakur, Dharmendra Singh Kourav, Sateesh Shah, Sunil Kumar Verma, Kirti Gyan Ganga Institute of Technology and Sciences Department of Electronics and Communication Engineering Jabalpur India Department of Electronics and Communication Engineering MP Jabalpur India Gyan Ganga Institute of Technology and Sciences Department of Engineering Mathematics MP Jabalpur India

ISBN: (纸本)9798350305463

This paper provides the architecture for high -speed multiplication using one of the Vedic arithmetic approaches. This strategy is used to increase speed. The compressor-based multiplier outperforms other stranded techniques like array and booth in terms of speed and space. Efficient multiplication is critical in computer design, particularly in DSPs where signal processing is a primary responsibility. The CPU is compact and efficient, making it suitable for usage in small-scale embedded systems or IoT nodes. The Vedic Arithmetic and Logical Unit (ALU) refers to the use of Vedic mathematical ideas for arithmetic operations. This option may aid in making mathematical computations faster and more efficient. For simulation, the Xilinx ISE tool is used, which is often used for FPGA design. This procedure facilitates the verification of the design's functionality and performance before actual hardware implementation. Because of their flexibility and reconfigurability, FPGAs are perfect for prototyping and deploying customized CPUs. © 2024 IEEE.

关键词： program processors

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Design and Optimization of a Dual-Rotor and Flat-Type-Stator Transverse Flux Machine 50

Design and Optimization of a Dual-Rotor and Flat-Type-Stator...

引用

50th Annual conference of the IEEE Industrial Electronics Society, IECON 2024

作者： Ou, Zhijun Zhao, Hang Liu, Liyang Su, Xiangdong Li, Fang Wang, Hui Guangzhou China Department of Electronic & Computer Engineering The Hong Kong University of Science and Technology Hong Kong Hong Kong Department of Psychiatry and Behavioral Sciences Duke University Durham United States

ISBN: (纸本)9781665464543

The development and application of transverse flux machines (TFMs) with permanent magnet (PM) excitation have received more and more attention in recent years because of the high torque density at low rotating speed applications. This paper proposes a novel topology structure of TFM with dual-rotor and flat-type-stator (DRFTS-TFM). One of the advantages of the proposed structure is that the sandwiched design greatly reduces the manufacturing and assembling difficulties. Another advantage is that the number of the armature phase can be easily changed by converting the mechanical angle of the stator. To investigate the best electromagnetic torque performance of the machine, the multi-objective particle swarm optimization (MOPSO) algorithm is adapted and validated by the finite element method (FEM). The corresponding electromagnetic performances in different conditions are analyzed. © 2024 IEEE.

关键词： Stators

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Analyzing the Effectiveness of VGG Deep Learning Architecture for Mushroom Type Classification 7

Analyzing the Effectiveness of VGG Deep Learning Architectur...

引用

7th IEEE International conference of computer Science and Information Technology, ICOSNIKOM 2023

作者： Syuhada, Rahmad Muhathir Khairina, Nurul Muliono, Rizki Susilawati Sembiring, Zulfikar Fakultas Teknik Program Studi Teknik Informatika Universitas Medan Area Medan Indonesia Fakultas Teknik Prodi Teknik Informatika Universitas Medan Area Medan Indonesia

ISBN: (纸本)9798350360752

Indonesia is a center of biodiversity, one of the diversity of plant species is mushrooms. Fungi are very simple plants, have nuclei, spores, without chlorophyll, in the form of cells or branching filaments with walls of cellulose or chitin or both. Identification of mushrooms is still difficult due to the large number of types of mushrooms, lack of knowledge about mushrooms, and lack of experts in the mushroom field. Additionally, most mushrooms have a high degree of similarity in certain characteristics, making it difficult for unskilled humans to visually identify the type of mushroom. Therefore, it is important to be able to classify the types of mushrooms so that the public will better understand the types of each mushroom. This research uses a transfer learning approach with the VGG-19 architecture to provide an accurate method for classifying fungal species. There are 4 model scenarios that are trained and the best model performance is obtained using hyperparameter number of epochs 50, batch size 64, and the SGD optimizer gets an accuracy of 77.3% in the training process. After testing using data testing and evaluating using a confusion matrix and classification report, an accuracy score of 70% was obtained © 2023 IEEE.

关键词： Biodiversity

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Industry 4.0 and Lean Manufacturing Contribute to the Development of the PDP and Market performance? A Framework 1

引用

22nd IFIP WG 6.11 conference on e-Business, e-Services and e-Society, I3E 2023

作者： Tardio, Paulo Roberto Schaefer, Jones Luís Gonçalves, Marcelo Carneiro Nara, Elpidio Oscar Benitez Industrial and Systems Engineering Graduate Program Pontifical Catholic University PR Curitiba Brazil

ISBN: (数字)9783031500404

ISBN: (纸本)9783031500398

To improve production processes, manufacturing companies have made efforts to implement Industry 4.0 technologies and spread the use of Lean Manufacturing (LM) tools. Besides, in addition to the improvements in production processes, these efforts have also been reflected in other issues such as in the Product Development Process (PDP) and Market performance. In this sense, the objective of this article is to elaborate a conceptual framework covering the constructs of Industry 4.0, LM, and PDP, and to evaluate the importance of these constructs on Market performance in manufacturing companies in the South of Brazil. The conceptual framework, elaborated with the help of high-impact articles in the area, was evaluated by managers of 111 manufacturing companies in the southern Brazil. The research showed that the implementation of LM tools is more related to the PDP than Industry 4.0 and that large companies have had more positive effects in the implementation of both Industry 4.0 technologies and LM tools. This research can serve as a guide for manufacturing companies, showing the benefits, challenges and opportunities regarding the implementation of LM and Industry 4.0 tools and technologies aiming to improve PDP and Market performance. It is possible to observe through a structured and systemic framework. © IFIP International Federation for Information Processing 2023.

关键词： Lean production

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Combat Jamming: An Innovative Mini-Slot Frequency Hopping in B5G Networks 100

Combat Jamming: An Innovative Mini-Slot Frequency Hopping in...

引用

100th IEEE Vehicular Technology conference, VTC 2024-Fall

作者： Alqwider, Walaa Zhang, Minglong Abdalla, Aly Sabri Marojevic, Vuk Mississippi State University Department of Electrical and Computer Engineering MS39762 United States

ISBN: (纸本)9798331517786

This paper explores an innovative approach to enhance the resilience and security of beyond 5G (B5G) networks through the implementation of cross-bandwidth part (C-BWP) frequency hopping at mini-slot granularity. Utilizing dynamic channel estimation, the proposed system assigns resource blocks (RBs) to user equipment (UEs) of varying priorities, mitigating the impact of jamming in hostile radio environments. We introduce strategic C-BWP frequency hopping for high-priority UEs, optimizing the use of unaffected RBs. This method is shown to effectively counter various types of jamming, ensuring robust and secure communication in both current and future cellular networks. Through rigorous simulation, we demonstrate that intra-slot frequency hopping offers superior resilience by adapting quickly to dynamic channel conditions, significantly enhancing the performance and security of the communications system. © 2024 IEEE.

关键词： Bandwidth

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SIMULATION STUDY ON DYNAMIC MECHANICAL performance OF OFF-CENTER PIN AND SOCKET OF high-SPEED BACKPLANE CONNECTOR 14

SIMULATION STUDY ON DYNAMIC MECHANICAL PERFORMANCE OF OFF-CE...

引用

14th International conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering, QR2MSE 2024

作者： Yang, Yanfu Zhao, Peng Wang, Huayue Tang, Fusheng Zhao, Xiang Jiang, Hai Sichuan Interconnect Innovation Technology Co. Ltd. Mianyang China School of Mechanical and Electrical Engineering University of Electronic Science and technology Chengdu China Sichuan Huafeng Technology Co. Ltd. Mianyang China

ISBN: (纸本)9781837242672

high-speed electrical connectors are widely used in electronic, communication, and computer equipment, ideally requiring precise alignment of the pin and socket. However, achieving perfect alignment during practical use is often challenging because the centers of the pin and socket may not align during the insertion process. This misalignment can lead to issues such as contact failure and socket damage. Therefore, this study establishes an equivalent pin-and-socket connector model to investigate the contact mechanics between centered and off-center pin and socket during the insertion and extraction process. The results indicate that the off-center pin and socket make the insertion and extraction process more unstable than the centered pin and socket. Additionally, the forces required for insertion and extraction increase significantly for the off-center pin and socket. © The Institution of Engineering & Technology 2024.

关键词： Electric connectors

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Predictive Modeling of Parkinson's Disease Using Machine Learning Techniques 6

Predictive Modeling of Parkinson's Disease Using Machine Lea...

引用

6th International conference on Sustainable Technologies for Industry 5.0, STI 2024

作者： Helali, Sad Shariar Based, Md. Abdul Rahman, Md. Zubair Rahman, Md. Arafat Dhaka International University Dept of Computer Science and Engineering Bangladesh

ISBN: (纸本)9798331531973

Parkinson's disease (PD) is a common neurodegenerative disorder that affects millions of individuals worldwide. Early and accurate diagnosis is crucial for managing symptoms and improving patient outcomes. This research paper presents a comprehensive approach to predicting Parkinson's disease using the MDVP (Multidimensional Voice program) dataset by machine learning models integrated with a user-friendly web application. The research uses eight machine learning methods, including Decision Tree, K-Nearest Neighbors, AdaBoost, Logistic Regression, Gradient Boosting, Random Forest, Nearest Centroid, and Naïve Bayes. Among them, Gradient Boosting and Random Forest show the best result with 100.00% accuracy and additionally, the AdaBoost and Decision Tree classifiers also demonstrated high performance, achieving 98.31% accuracy. These findings suggest the potential of these models for distinguishing between Parkinson's disease and healthy individuals. Also, the web application we developed allows users to input voice data and get a prediction about having Parkinson's disease. This tool is designed to be user-friendly, providing quick and reliable results which ultimately lead to better patient care and more efficient use of healthcare resources. © 2024 IEEE.

关键词： Neurodegenerative diseases

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Development Trend of Code Defect Detection Technology Based on Natural Language Processing 13

Development Trend of Code Defect Detection Technology Based ...

引用

13th IEEE International conference on Communication Systems and Network Technologies, CSNT 2024

作者： Wang, Jingdong Ta, Guiwen Meng, Fanqi School of Computer Science Northeast Electric Power University Jilin China

ISBN: (纸本)9798350305463

Traditional defect detection research is based on program analysis, and when dealing with large-scale programs, the detection speed is usually slow, resulting in limited detection performance. Moreover, because traditional defect detection can only extract basic semantic information, the detection accuracy is not high, which makes it difficult to play a role in practical applications. In recent years, with the progress of artificial intelligence technology, natural language processing technology has also been rapidly developed. Through natural language processing technology, more complex, highdimensional and multi-level semantic features can be extracted from the code, so that the code defect detection has a higher accuracy, and the detection speed has been significantly improved. In this paper, the author mainly collects the relevant literature of code defect detection based on CNN, RNN, LSTM and Transformer, which belongs to natural language processing technology, discusses the difficulties and challenges still existing in defect detection, and finally makes a summary and outlook for the future. © 2024 IEEE.

关键词： Defects

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Joint Wireless and Computing Resource Management with Optimal Slice Selection in in-network-edge Metaverse System 15

Joint Wireless and Computing Resource Management with Optima...

引用

15th International conference on Information and Communication Technology Convergence, ICTC 2024

作者： Rashid, Sulaiman Muhammad Aliyu, Ibrahim Isah, Abubakar Lee, Jihoon Oh, Sangwon Hahn, Minsoo Kim, Jinsul Chonnam National University Department of Intelligent Electronics and Computer Engineering Gwangju Korea Republic of Astana It University Department of Computational and Data Science Astana Kazakhstan

ISBN: (纸本)9798350364637

This paper presents an approach to joint wireless and computing resource management in slice-enabled metaverse networks, addressing the challenges of inter-slice and intra-slice resource allocation in the presence of in-network computing. We formulate the problem as a mixed-integer nonlinear programming (MINLP) problem and derive an optimal solution using standard optimization techniques. Through extensive simulations, we demonstrate that our proposed method significantly improves system performance by effectively balancing the allocation of radio and computing resources across multiple slices. Our approach outperforms existing benchmarks, particularly in scenarios with high user demand and varying computational tasks. © 2024 IEEE.

关键词： Mixed-integer linear programming

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MARE: Multi-Aspect Rationale Extractor on Unsupervised Rationale Extraction

MARE: Multi-Aspect Rationale Extractor on Unsupervised Ratio...

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2024 conference on Empirical Methods in Natural Language Processing, EMNLP 2024

作者： Jiang, Han Duan, Junwen Qu, Zhe Wang, Jianxin Hunan Provincial Key Lab on Bioinformatics School of Computer Science and Engineering Central South University Hunan Changsha China

ISBN: (纸本)9798891761643

Unsupervised rationale extraction aims to extract text snippets to support model predictions without explicit rationale annotation. Researchers have made many efforts to solve this task. Previous works often encode each aspect independently, which may limit their ability to capture meaningful internal correlations between aspects. While there has been significant work on mitigating spurious correlations, our approach focuses on leveraging the beneficial internal correlations to improve multi-aspect rationale extraction. In this paper, we propose a Multi-Aspect Rationale Extractor (MARE) to explain and predict multiple aspects simultaneously. Concretely, we propose a Multi-Aspect Multi-Head Attention (MAMHA) mechanism based on hard deletion to encode multiple text chunks simultaneously. Furthermore, multiple special tokens are prepended in front of the text with each corresponding to one certain aspect. Finally, multi-task training is deployed to reduce the training overhead. Experimental results on two unsupervised rationale extraction benchmarks show that MARE achieves state-of-the-art performance. Ablation studies further demonstrate the effectiveness of our method. Our codes have been available at https://***/CSU-NLP-Group/MARE. © 2024 Association for Computational Linguistics.

关键词： Computational linguistics

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