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检索条件"任意字段=Proceedings of the 2023 12th International Conference on Computing and Pattern Recognition"

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Design and Implementation of Secure Transmission Architecture for IIOT Based on Blockchain 12

Design and Implementation of Secure Transmission Architectur...

引用

12th international conference of Information and Communication Technology, ICTech 2023

作者： Zhang, Xiyang Ma, Yongze Hu, Yi Zhao, Yanqing University of Chinese Academy of Sciences Shenyang Institute of Computing Technology Chinese Academy of Sciences Shengyang China

ISBN: (纸本)9798350332919

With the wave of digital economy sweeping the world, 5G, artificial intelligence, big data technology, cloud computing and other emerging technologies continue to integrate with industry to accelerate the development of industrial Internet. As an important strategy of traditional industrial digital transformation, industrial Internet of things plays an important role in today's social development. However, the data transmission security of industrial equipment in the Internet of things has been facing severe challenges. At present, most of the industrial Internet of things adopt centralized architecture for equipment access authentication and industrial data transmission. Coupled with the poor industrial field application environment, equipment is difficult to resist malicious attacks. Centralized authentication institutions and data transmission may cause the abuse of power of trusted institutions and the acquisition and tampering of data by third parties, resulting in data transmission security problems. In this paper, combined with blockchain technology and MQTT protocol based on TLS, a data security transmission architecture for industrial IoT is proposed to ensure the safety of equipment access and data transmission in industrial IoT. © 2023 IEEE.

关键词： Internet of things

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Deep Learning Based Image Analysis for Classification of Foot and Mouth Disease in Cattle 5

Deep Learning Based Image Analysis for Classification of Foo...

引用

5th international conference on Inventive Research in computing Applications, ICIRCA 2023

作者： Shebiah, R. Newlin Arivazhagan, S. Mepco Schlenk Engineering College Centre for Image Processing and Pattern Recognition Department of Electronics and Communication Engineering Tamilnadu Sivakasi626005 India

ISBN: (纸本)9798350321425

Foot and mouth disease (FMD) poses a substantial threat to the global cattle industry, as it is a highly contagious viral infection. Timely detection and precise classification of FMD in cattle are essential for effective disease management and control. the proposed method harnesses the power of convolutional neural networks (CNNs) to automatically extract distinguishing features from cattle images and classify whether the cattle is diseased or not. Furthermore, a pre-trained architecture such as MobileNetV2 is employed and fine-tuned for FMD classification. Experiments were performed to assess the effectiveness of the proposed approach, taking into account metrics such as accuracy, precision, recall, and F1-score. the experimental results demonstrate the efficacy of proposed deep learning-based classification approach, achieving impressive accuracy rates in differentiating between healthy and FMD-infected cattle. © 2023 IEEE.

关键词： Convolutional neural networks

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Realization of Flexible Scaling Technology for computing Tasks in Power Automation System Based on Container 12

Realization of Flexible Scaling Technology for Computing Tas...

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12th international conference of Information and Communication Technology, ICTech 2023

作者： Gao, Yuan Gu, Wenjie Chen, Boyu Fu, Peng Liu, Wei Nari Group Corporation State Grid Electric Power Research Institute System Platform R&d Center Nanjing China

ISBN: (纸本)9798350332919

With the popularization and construction of the new power system, the amount of data to be processed by the power automation system will increase explosively, and the original mode of main and standby machines will no longer meet the demand. At present, some dynamic scheduling algorithms studied in the industry do not consider the security, reliability and real-time requirements of power system. By studying the characteristics of some existing scheduling algorithms and the implementation principle of container technology, this paper proposes a container based elastic scaling technology for computing tasks, which can dynamically adjust the resources of each application instance without affecting the resource use of other application instances. At the same time, it supports highly reliable mutual redundancy and real-time switching, and supports the real-time elastic expansion of resources after adding new nodes. Finally, through the test and verification, the technology can support the dynamic allocation and distributed operation of power application resources, switch the active and standby computers in real time in case of failure, support the elastic expansion of resources, and improve the reliability and processing capacity of the upper application. © 2023 IEEE.

关键词： Redundancy

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Artificial Intelligence and Soft computing 1

引用

丛书名： Lecture Notes in Computer Science

1000年

作者： Leszek Rutkowski Marcin Korytkowski Rafał Scherer Ryszard Tadeusiewicz Lotfi A. Zadeh Jacek M. Zurada

ISBN: (数字)9783642386589

ISBN: (纸本)9783642386572

the two-volume set LNAI 7894 and LNCS 7895 constitutes the refereed proceedings of the 12th international conference on Artificial Intelligence and Soft computing, ICAISC 2013, held in Zakopane, Poland in June 2013. the 112 revised full papers presented together with one invited paper were carefully reviewed and selected from 274 submissions. the 57 papers included in the first volume are organized in the following topical sections: neural networks and their applications; fuzzy systems and their applications; pattern classification; and computer vision, image and speech analysis.

关键词： Artificial Intelligence Information Systems Applications (incl. Internet) Computation by Abstract Devices Database Management Information Storage and Retrieval Computer Imaging, Vision, pattern recognition and Graphics

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Synthesis of stable control law for ball and beam system robust to disturbances based on synergetic control theory 12

Synthesis of stable control law for ball and beam system rob...

引用

12th IEEE international conference on Control, Automation and Information Sciences, ICCAIS 2023

作者： Chiem, Nguyen Xuan thang, Le Tran Dinh, Nguyen Cong Le Quy Don Technical University Department of Automation and Computing Techniques Hanoi Viet Nam Controls Automation in Production and Improvement of Technology Institute Hanoi Viet Nam

ISBN: (纸本)9798350328783

In the article, a method of synthesizing stable control laws for ball and beam system in the presence of disturbances is presented based on synergetic control theory. the ball and beam system is a short mechanical system, has large nonlinear properties, and is easily affected by external noise. this new approach to the design of system stabilizers is based on the synergetic control theory. When synthesizing control laws based on this theory, the desired ball position is considered invariant. With the synthetic control law, only the necessary invariant is achieved but also the asymptotic stability of the entire system is guaranteed. In addition, the control law also ensures the system is robust against external disturbances and model parameter uncertainties. Analyze the stability of the system in the presence of noise through the Lyapunov function. Simulation results with different scenarios demonstrate the correctness and effectiveness of the proposed controller. © 2023 IEEE.

关键词： Lyapunov functions

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Edge AI patterns 12th

Edge AI Patterns

引用

12th international conference on AI and Mobile Services, AIMS 2023

作者： Shan, Richard Shan, Tony Computing Technology Solutions Inc. Charlotte United States Charlotte NC28277 United States

ISBN: (纸本)9783031451393

this paper comprehensively explores a spectrum of AI patterns tailored for edge computing, including regular, branched, circular, serial, concurrent, cascade, input fusion, hierarchical, and ensemble patterns. As edge devices grapple with limited resources and the need for real-time decision-making, these patterns offer structured methodologies for efficient data processing, adaptive decision-making, and enhanced accuracy. through in-depth analyses of each pattern’s characteristics, approaches, and implementations, the pattern model equips users with a systematic understanding of the diverse strategies available for orchestrating AI workflows in edge computing environments, paving the way for improved system design, scalability, and performance across a myriad of application domains. © 2023, the Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Classification (of information)

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A morphogenetic approach to self-reconfigurable modular robots using a hybrid hierarchical gene regulatory network

A morphogenetic approach to self-reconfigurable modular robo...

引用

12th international conference on the Synthesis and Simulation of Living Systems: Artificial Life XII, ALIFE 2010

作者： Meng, Yan Zhang, Yuyang Jin, Yaochu Department of Electrical and Computer Engineering Stevens Institute of Technology Hoboken NJ 07030 United States Department of Computing University of Surrey Guildford Surrey GU2 7XH United Kingdom

ISBN: (纸本)9780262290753

In this paper, we present a morphogenetic approach to self-reconfiguration of a lattice-based simulated modular robot, CrossCube, under dynamic environments. A hybrid hierarchical controller inspired by the embryonic development of multi-cellular organisms is proposed to form different patterns for modular robots to adapt to environmental changes. the first layer is a rule-based controller to generate a number of appropriate target patterns (i.e. configurations) for various environments. the second layer is a gene regulatory network (GRN) based controller to coordinate the modules of CrossCube to transform from its current pattern to the target pattern. this hybrid hierarchical control framework is distributed in the sense that each module makes its own decisions based on its local perception. the global behavior of modular robots emerges from the local interactions with the environment and between the modules. the simulation results demonstrate that the proposed system is efficient and robust in adaptively reconfiguring modular robots to adapt to the changing environment.

关键词： Modular robots

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ACM international conference Proceeding Series

ACM International Conference Proceeding Series

引用

12th international conference on Networks, Communication and computing, conference proceedings, ICNCC 2023

ISBN: (纸本)9798400709265

the proceedings contain 43 papers. the topics discussed include: wireless sensor networks: target-barrier coverage with static and mobile sensors;hybrid handover decision using neuro-fuzzy logic approach for heterogeneous wireless networks;research on energy efficiency routing technology based on improved A3C;DoH tunneling traffic detection based on single packet features analysis;security attacks against the availability of low earth orbit satellite networks;on the use and reuse of graphs for network security with real-time edge learning;automatic vehicle parking availability system for indoor environments;task offloading strategy in satellite edge computing based on matching game;a study of summarization and keyword extraction function in meeting note generation system from voice records;and bio-inspired nano system: assessing channel reliability in the presence of environmental noise.

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Localizing and Analyzing the Infographics in Document Using Deep Learning 17

Localizing and Analyzing the Infographics in Document Using ...

引用

17th international conference on Ubiquitous Information Management and Communication, IMCOM 2023

作者： Nazar, Talha Hussain Kausar, Shujaat Ullah Khan, Kifayat National University of Computer and Emerging Sciences Department of Computing Islamabad Pakistan

ISBN: (纸本)9781665453486

In explaining complicated concepts, infographics are a far more effective medium of communication than regular prose. In recent years, deep learning has seen a lot of success in a range of applications requiring pattern identification and artificial intelligence. One of these applications is image recognition. there are many kinds of infographics that may be used in resumes and CVs to demonstrate the degree of competence. the objective was to identify those infographics that were already existing in the CV and to determine the word that corresponded to each infographic before attempting to measure each infographic using numeric characters. the YOLO algorithm was used to identify infographics, while OCR was utilized in order to identify associated words. the filled component of the infographic was distinguished from the unfilled area by using the image intensity histogram analysis, thresholding and contours. © 2023 IEEE.

关键词： Object detection

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A Comparison of Multi-Object Sub-pattern Linear Assignment Metrics 12

A Comparison of Multi-Object Sub-Pattern Linear Assignment M...

引用

12th IEEE international conference on Control, Automation and Information Sciences, ICCAIS 2023

作者： Barrios, Pablo Adams, Martin Santiago Chile

ISBN: (纸本)9798350328783

Error estimation in multi-target tracking and robotic mapping is critical for algorithmic evaluation. In multi-target tracking and robotic mapping, both target or feature detection, as well as localization errors often exist. For this reason, recently, the multi-object Optimal Sub-pattern Assignment (OSPA) and Cardinalized Optimal Linear Assignment (COLA) metrics were introduced, based on the Wasserstein construct. these metrics have the ability to compare set-based multi-target or multi-feature estimates and penalize both detection as well as state (spatial) errors. After the OSPA and COLA metrics were introduced, a variant referred to as the Generalized Optimal Sub-pattern Assignment (GOSPA) metric was introduced, based on the claim that it is a generalization of the OSPA metric. this article compares the OSPA, COLA and GOSPA metrics in terms of their abilities to penalize certain multi-target/multi-feature scenarios. the article will determine when these metrics can disagree with one another when evaluating multi-target/multi-feature set-based errors and will evaluate their sensitivities to their characteristic 'cut-off' parameters. As a result, their intuitive penalizations of various multi-target/multi-feature configurations will be demonstrated to provide a more complete and nuanced understanding of their applicability and performance in different contexts. © 2023 IEEE.

关键词： Errors

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