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检索条件"任意字段=2023 International Conference on Computer Science and Automation Technology, CSAT 2023"

共 68658 条记录，以下是4841-4850 订阅

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A Hybrid Edge-Cloud Computing Approach for Energy-Efficient Surveillance Using Deep Reinforcement Learning 3

A Hybrid Edge-Cloud Computing Approach for Energy-Efficient ...

引用

3rd international conference on Technological Advancements in Computational sciences, ICTACS 2023

作者： Singh, Jagendra Dabas, Partibha Bhati, Sunita Kumar, Santosh Upreti, Kamal Shaik, Nazeer School of Computer Science Engineering and Technology Bennett University Greater Noida India Dr Akhilesh das Gupta Institute of Technology and Management Dept. of Computer Science & Engineering Delhi India Jecrc University Department of Computer Applications Jaipur India Raj Kumar Goel Institute of Technology Department of Information Technology Ghaziabad India Department of Computer Science Ghaziabad India SRIT-Autonomous Anantapur Department of Computer Science Engineering India

ISBN: (纸本)9798350342338

This paper explores the novel application of Deep Reinforcement Learning (DRL) in designing a more efficient, scalable, and distributed surveillance architecture, which addresses concerns such as data storage limitations, latency, event detection accuracy, and significant energy consumption in cloud data centers. The proposed architecture employs edge and cloud computing to optimize video data processing and energy usage. The study further investigates the energy consumption patterns of such a system in detail. The implementation leverages machine learning models to identify optimal policies based on system interactions. The proposed solution is tested over an extensive period, resulting in a system capable of reducing latency, enhancing event detection accuracy, and minimizing energy consumption. © 2023 IEEE.

关键词： Cloud Data Centers Deep Reinforcement Learning Edge Computing Energy Efficiency Smart Surveillance

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Incorporating Granularity Bias as the Margin into Contrastive Loss for Video Captioning 20

Incorporating Granularity Bias as the Margin into Contrastiv...

引用

20th international computer conference on Wavelet Active Media technology and Information Processing, ICCWAMTIP 2023

作者： Jiayang, Gu Fengming, Yao The School of Computer Science and Engineering University of Electronic Science and Technology of China Chengdu611731 China The School of Aeronautics and Astronautics University of Electronic Science and Technology of China Chengdu611731 China

ISBN: (纸本)9798350318982

Video captioning models easily suffer from long-tail distribution of phrases, which makes captioning models prone to generate vague sentences instead of accurate ones. However, existing debiasing strategies tend to export external knowledge to build dependency trees of words or refine frequency distribution by complex losses and extra input features, which lack interpretability and are hard to train. To mitigate the impact of granularity bias on the model, we introduced a statistical-based bias extractor. This extractor quantifies the information content within sentences and videos, providing an estimate of the likelihood that a video-sentence pair is affected by granularity bias. Furthermore, with the growing trend of integrating contrastive learning methods into video captioning tasks, we use a bidirectional triplet loss to get more negative samples in a batch. Subsequently, we incorporate the margin score into the contrastive learning loss, establishing distinct training objectives for head and tail sentences. This approach facilitates the model's training effectiveness on tail samples. Our simple yet effective loss, incorporating Granularity bias, is referred to as the Margin-Contrastive Loss (GMC Loss). The proposed model demonstrates state-of-the-art performance on MSRVTT with a CIDEr of 57.17, and MSVD, where CIDEr reaches up to 138.68. © 2023 IEEE.

关键词： Learning systems

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Covid-19 Future Forecasting Using Supervised Machine Learning Models 8

Covid-19 Future Forecasting Using Supervised Machine Learnin...

引用

8th IEEE international conference on science, technology, Engineering and Mathematics, ICONSTEM 2023

作者： Lavanya, Bassetti Lakshmi Katyayani, Vemula Jancy, S. Pushpa Latha, S. Marya, Viji Amutha Sujihelen, L. Selvan, Mercy Paul Sathyabama Institute of Science and Technology Computer Science and Engineering Chennai India Sathyabama Institute of Science and Technology Department of Computer Science and Engineering Chennai India

ISBN: (纸本)9798350347791

The outbreak of the unconventional coronavirus or COVID-19 is affecting the whole global in various parts of the arena and has resulted in hundreds of thousands of deaths. This stays an ominous public fitness caution and may be celebrated as certainly one of the largest pandemics in world history. This file targets to better recognize how special machine mastering fashions may be applied in actual-international situations. Apart from global overall performance solution, this paper additionally analyzethe present day fashion or transmission pattern of Covid-19 in India. With the assist of datasets from the Ministry of Health and Family Welfare of India, this observe gives diverse tendencies and patterns located in one-of-a-kind parts of the arena. The statistics for the study became carried out for 154 days, that is, from January 22, 2020 to June 24, 2020. For further use the facts may be similarly analyzed and further outcomes received. © 2023 IEEE.

关键词： Coronavirus

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Design and Implementation of 5GSPS High-Speed High-Precision Data Acquisition and Signal Synthesis Module 16

Design and Implementation of 5GSPS High-Speed High-Precision...

引用

16th IEEE international conference on Electronic Measurement and Instruments, ICEMI 2023

作者： Fan, Jiangjun Zeng, Hao Tian, Yu Guo, Lianping Jiang, Jun Ye, Peng School of Automation Engineering University of Electronic Science and Technology of China Chengdu China Shenzhen Institute for Advanced Study University of Electronic Science and Technology of China Shenzhen China School of Automation Engineering UESTC Chengdu China Co. Ltd Department of Research and Development Dongguan China

ISBN: (纸本)9798350327144

Radar signal test systems have the ability to capture broadband signals in real time, analyse high-speed data streams and synthesise large bandwidth signals. The traditional test system is usually built with separate instruments and equipment, which makes it difficult to unify the indicators among the equipment, occupies a large space, has a complicated debugging and testing process, and has low system testing efficiency. Based on the characteristics of the standardised structure, a modular instrument that integrates high-speed and high-precision data acquisition and signal synthesis, and digital signal processing functions is designed and implemented, which improves the functional scalability and portability of the test system, perfects the performance of the radar test system and enhances the test efficiency. © 2023 IEEE.

关键词： Field programmable gate arrays (FPGA)

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Structure of resources in an enterprise IT organization subject to optimal defect detection 10

Structure of resources in an enterprise IT organization subj...

引用

10th international Scientific conference on computer science, COMSCI 2022

作者： Nakov, Plamen Technical University of Sofia Faculty of Computer Systems and Technologies Department of Computer Systems 8 Kliment Ohridski blvd. Sofia1000 Bulgaria

ISBN: (纸本)9781665497770

At a decade of distributed cloud, hyper-automation, digitalization, Internet of Things (IoT) world, use of large volume IT resources in business is inevitable. Organizations use vast amount of IT systems to automate processes and tend to focus on digitalization at all costs. automation and day-to-day business require huge computing power at a high-availability and reliability. Cybersecurity is crucial for success of every business. To address these needs, organizations must have in-depth understanding of their own resource structure (assets, network, services, applications, relationships, etc.). This paper focuses on how organizations can keep information about their resources and analyzes how organizations can ensure optimal defect detection in its own resource *** paper proposes unique approach for structuring of multi-layer resources, focused on formalization of detection, localization, and effective defect remediation. © 2022 IEEE.

关键词： Defects

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Research on an embedded-based mask wearing detection system 4

Research on an embedded-based mask wearing detection system

引用

4th international conference on computer Vision, Image and Deep Learning, CVIDL 2023

作者： Chen, Yong School of Computer and Information Technology Hefei University of Technology Hefei China

ISBN: (纸本)9798350326444

Since the outbreak of the new crown epidemic began worldwide, the virus has been spreading very fast, and the most convenient and effective way to deal with the spread of the virus is to wear a mask properly. Up to now, the new crown is still in epidemic, not only the new crown virus, but also the current outbreak of influenza A virus. In order to reduce the speed of virus spread and protect our own health, in some public places, we have to wear masks according to the epidemic prevention and control requirements. In this paper, we propose a mask wearing detection system based on embedded Linux, using the optimized and improved YOLOv5 network model, and deploy it to the embedded system to achieve real-time detection of mask wearing. © 2023 IEEE.

关键词： Embedded systems

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Formal Validation of ADR Protocol in LoraWan Network Using Event-b 7

Formal Validation of ADR Protocol in LoraWan Network Using E...

引用

7th international conference on computer, Software and Modeling, ICCSM 2023

作者： Mostefa, Chaib Abdelouahab, Nouar Mounir, Tahar Abbes Boumerdassi, Selma Femmam, Smain Amel, Zahoui Anissa Dept. Science Computer LME Laboratory FSEI Hassiba Ben Bouali University Chlef Algeria Dept. Science Computer FSEI Hassiba Ben Bouali University UHBC Chlef Algeria Dept. Science Computer CNAM Paris France Dept. Science Computer University of Haute- Alsace France

ISBN: (纸本)9798350305814

LoRaWAN is a wireless protocol for low-power, wide-area networks (LPWANs). It is a standard protocol for connecting Internet of Things (IoT) devices and sensors over long distances, up to several kilometers, with low power consumption and data rates (DR). LoRaWAN networks are typically implemented in numerous applications, including smart cities, agriculture, logistics, and industrial automation. For this reason, many industrialists and researchers are attempting to develop new protocols for the Lora network. Formal verification can be used to validate the correctness of the protocol implementation to ensure that it conforms to the specification and is free of security vulnerabilities. In the context of the LoRaWAN protocol, Event-B can be used for formal verification by developing a mathematical model of Adaptive Data Rate (ADR) protocol and then refining it to produce an implementation that conforms to the protocol specification. This study aims to build models using formal methods that can efficiently show the complex parts of the ADR protocols server side used in the Lora network to dynamically adjust the up-link and down-link data rates of End Devices and Gateways (GW);by this way, we can detect and fix bugs before implementing the protocol in real scenarios. © 2023 Crown.

关键词： Wireless networks

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Substation multi-target detection method based on improved YOLOX-s 5

Substation multi-target detection method based on improved Y...

引用

5th international conference on Frontiers technology of Information and computer, ICFTIC 2023

作者： Cheng, Yexin Dai, Zuoxiao Wang, Xiaohui Shanghai University of Electric Power Yangpu School of Automation Engineering Shanghai China Shanghai Institute of Technical Physics Chinese Academy of Sciences Hongkou Shanghai China Taicang Institute of Optoelectronic Technology Suzhou China

ISBN: (纸本)9798350309034

With the advancement of national construction, the urgency of the safe operation of substations is constantly increasing, leading to a growing integration of power inspection equipment in daily substation inspection tasks. Due to the challenges posed by the complex background of the captured images and the minimal pixel occupancy of certain power equipment, which causes identification difficulties, this paper proposes an enhanced multi-object detection method for substations based on the YOLOX-s algorithm. The improved algorithm builds upon the YOLOX-s foundation, incorporating attention mechanisms at three output layer positions in its backbone extraction network, as well as in the intermediate layer channel output position, and refining its SPP structure. As a result, compared to the original YOLOX-s algorithm, while maintaining similar deployment conditions and detection speed, the modified approach has improved the mean average precision (IoU=0.5) of power target detection by 4.36%. This effectively addresses the issue of detecting small targets in the complex background of substations. © 2023 IEEE.

关键词： attention mechanism substation target detection

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A Conceptual Underwater Soft Exoskeleton for Augmenting Human Breaststroke 8

A Conceptual Underwater Soft Exoskeleton for Augmenting Huma...

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8th IEEE international conference on Advanced Robotics and Mechatronics, ICARM 2023

作者： Xia, Haisheng Zhang, Boyong Feng, Ying University of Science and Technology of China Department of Automation Hefei230026 China Institute of Artificial Intelligence Hefei Comprehensive National Science Center Hefei230026 China School of Automation Science and Engineering South China University of Technology Guangzhou510641 China

ISBN: (纸本)9798350300178

The structure and metabolic mode of the human body make it difficult to carry out underwater activities for a long time. Thus it is of great significance to promote the application of assisting robots such as exoskeletons for human underwater movement assistance. This study proposes a soft exoskeleton for enhancing human underwater activities by providing auxiliary torque for hip adduction during the sweeping stage of breaststroke. We designed a soft structure actuated by the elastic elements, which ensures efficient assistance while reducing the exoskeleton's restriction on the free movement of the human body. To facilitate the calculation of the auxiliary torque generated by the equipment, we established a static model. Additionally, we simulated the muscle activation of the adductor magnus in the sweeping stage to verify the exoskeleton's assistive effect. Our results show that compared to the situation without exoskeleton assistance, the two peak muscle activation levels of the adductor magnus with assistance decreased by 33% and 58% during the sweeping and lifting stages, respectively, thus confirming the feasibility of our design. © 2023 IEEE.

关键词： Muscle

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Research on deceptive dynamic defense method based on SDN 6

Research on deceptive dynamic defense method based on SDN

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6th international conference on computer Information science and Application technology, CISAT 2023

作者： Dang, Fangfang Yan, Lijing Wu, Kehe Li, Dingding The State Grid Henan Information & Communication Company Zhengzhou450052 China School of Control and Computer Engineering North China Electric Power University No. 2 Beinong Road Changping District Beijing102206 China

ISBN: (纸本)9781510668546

Dynamic network defense technology refers to the application of dynamic defense technology at the network level. It implements dynamic defense against harmful attacks on the target network to improve the difficulty for attackers to identify networks and penetrate network nodes. Most of them focus on traditional networks and ignore the advantages of software-defined networks (SDN). Network feature obfuscation is a successful reconnaissance countermeasure method, which will interfere with the information collected by the attacker in the reconnaissance stage and make the attacker's attack invalid. In this paper, a dynamic defense system is proposed to timely, dynamically and adaptively evaluate the effectiveness of SDN based deception defense system techniques. In the future, we will further study how to improve the dynamic defense capability of SDN, and analyze the development direction of dynamic defense based on SDN. © 2023 SPIE.

关键词： Network security

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