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5th IEEE International Conference on Modern Electrical and Energy System, MEES 2023

作者： Mospan, Denis Kukharenko, Dmitriy Nevliudova, Viktoriia Yurko, Alexey Sankov, Serhiy Kremenchuk Mykhailo Ostrohradskyi National University "computer Engineering and Electronics" Department Kremenchuk Ukraine Kharkiv National University of Radioelectronics Department of Computer-Integrated Technologies Automation and Mechatronics Kharkiv Ukraine

ISBN: (纸本)9798350359787

This article discusses the modeling of the working surface of the irradiation intensity, formed by LED arrays of various configurations, namely flat, cylindrical and spherical structures. The ability to change the step of the LED matrix, the size of the surface of the frame and the parameters of the spatial distribution of the luminous intensity of an individual LED allows you to choose rational parameters for the design of the matrix to create an illumination value within the specified limits in the working area. © 2023 IEEE.

关键词： Mountings

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The Deployment of Microservice at Edge based on MQTT for Low Latency 22

The Deployment of Microservice at Edge based on MQTT for Low...

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22nd IEEE International Conference on Industrial Informatics, INDIN 2024

作者： Han, Mengqi Yang, Bo Liu, Yuxiang Liu, Sicheng Liu, Qi Department of Automation Shanghai Jiao Tong University Shanghai China Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai China Shanghai Engineering Research Center of Intelligent Control and Management Shanghai China

ISBN: (纸本)9798331527471

With the rapid development of smart manufacturing, existing microservice deployment strategies based on the TCP protocol tend to encounter problems such as network latency, excessive header length, and port exhaustion in high concurrency scenarios. MQTT Broker can relay data between microservices, effectively alleviating these issues. However, the communication overhead of the Broker is significantly related to its deployment and the dependency of microservices. An appropriate deployment solution can significantly improve service quality. To address this issue, this paper models the deployment of MQTT Broker and microservices as a graph with cycles. By introducing auxiliary variables, the NP-hard problem is transformed into a mixed-integer quadratic programming problem, improving problem-solving efficiency and optimizing the microservices deployment strategy to reduce communication overhead. Meanwhile, a real-world heterogeneous cluster was constructed to experiment on fault detection applications, elaborating on the superiority of the microservice deployment strategy designed in this paper. Experimental results demonstrate that our approach reduces communication overhead by 20% in comparison to both the greedy strategy and the K8s strategy. This suggests that achieving an optimal balance between the number of Brokers and microservices is vital for ensuring efficient resource utilization and maintaining low communication latency, particularly as the scale of services expands. © 2024 IEEE.

关键词： Smart manufacturing

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Evaluation of the Energy Efficiency of Software Calculations in the Design of Microcontroller Devices 17

Evaluation of the Energy Efficiency of Software Calculations...

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17th IEEE International Conference on Advanced Trends in Radioelectronics, Telecommunications and computer engineering, TCSET 2024

作者： Topalov, Andrii Styslo, Taras Tkach, Vitalii Peschanenko, Volodymyr Styslo, Oksana Skrypyuk, Rostyslav Admiral Makarov National University of Shipbuilding Department of computerized control systems Mykolaiv Ukraine King Danylo University Department of IT Ivano-Frankivsk Ukraine Kherson State University Department of computer science and software engineering Ivano-Frankivsk Ukraine Ivano-Frankivsk National Technical University of Oil and Gas Department of automation and computer-integrated technologies Ivano-Frankivsk Ukraine

ISBN: (纸本)9798331520564

The paper presents a study of the effectiveness of software from the point of view of minimizing the energy consumption of microprocessor devices. In this case, the programming of the microcontroller in various programming languages for arithmetic operations, as well as data output through the port, is considered. In the course of the tests, the peculiarities of the application of this or that program and their operation, taking into account the energy saving of the microcontroller, are noted. © 2024 IEEE.

关键词： Microcontrollers

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Distributed time-varying formation control with uncertainties based on an event-triggered mechanism

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Science China(Information Sciences) 2021年第3期64卷 167-176页

作者： Xiaoduo LI Yumeng BAI Xiwang DONG Qingdong LI Zhang REN Science and Technology on Aircraft Control Laboratory School of Automation Science and Electrical EngineeringBeihang University Department of Electrical and Computer Engineering University of Wisconsin-Madison Beijing Advanced Innovation Center for Big Data and Brain Computing Beihang University

This paper investigates the distributed time-varying formation(TVF) problems for general linear multi-agent systems(MASs) subject to matched bounded uncertainties based on an adaptive event-triggered mechanism. A TVF protocol was designed with an event-triggered mechanism by introducing adaptive weights into the formation control protocol and triggering condition, and the large chattering phenomenon was avoided by the σ-modification adaptive law. According to the Lyapunov stability theory, proof has been established that the MASs in the presence of uncertainties can realize the expected formation that satisfies the given feasible condition. Finally, an example is provided to verify the effectiveness of the proposed algorithm.

关键词： formation control multi-agent systems event-triggered adaptive control

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Intelligent Transportation Systems in Smart City: A Systematic Survey

Intelligent Transportation Systems in Smart City: A Systemat...

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2023 International Conference on Robotics and automation in Industry, ICRAI 2023

作者： Hassan, Muhammad Abul Javed, Roofia Farhatullah Granelli, Fabrizio Gen, Xin Rizwan, Muhammad Ali, Syed Haider Junaid, Hazrat Ullah, Sana University of Trento Department of Information Engineering and Computer Science Trento Italy Kinnarid College for Women Department of Computer Science Lahore Pakistan School of Automation China University of Geosciences Wuhan China College of Engineering and Technology University of Derby Derby United Kingdom University of Engineering and Technology Department of Electrical Engineering Peshawar Pakistan University of Malakand Department of Computer Science and Information Technology Pakistan Qurtuba University of Science and Technology Department of Computer Science Peshawar Pakistan

ISBN: (纸本)9781665464727

The idea of Smart Cities (SCs) was developed to digitize conventional urban living areas and redevelop using digital equipment to enhance lifestyle and resident security. Smart cities cover a wide range of applications such as smart government, smart energy, smart transportation, smart health, and smart education. In this paper, we have examined the mobility-related application e.g., smart transportation. We have focused on related to smart transportation like traffic safety, passenger and driver safety, obstacle detection, accident prevention, crime prevention, and detection, and more importantly smart vehicles like UAVs which played a key role in making these gadgets easy to use in urban environments. For a brief overview, 63 academic publications are examined in the field of ITS and SC technologies. Furthermore, we have provided possible solutions in terms of security in the smart transportation system. © 2023 IEEE.

关键词： Big data

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Research of line-of-sight angle on aero-optic imaging deviation for vehicles flying at 40—60 km

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Optoelectronics Letters 2023年第4期19卷 242-247页

作者： XU Liang ZHAO Shiwei WANG Tao Tianjin Key Laboratory of Complex Control Theory and Application School of Electronic Engineering and AutomationTianjin University of TechnologyTianjin 300384China Foreign Cooperation Projects Department PetroChina Dagang Oilfield CompanyTianjin 300280China

Aero-optical imaging deviation is a kind of optical effect,aiming at a conical *** paper analyzes the influence of the aircraft on the imaging deviation with the change of altitude and line-of-sight *** this paper,the relationships between imaging deviation and altitude as well as line-of-sight angle are analyzed,and the coupling relationship between altitude and line-of-sight angle is *** give the imaging deviation results of 5°—75°line-of-sight *** analysis shows that when the line-of-sight angle is in the range of 5°—35°,the imaging deviation is more sensitive,while the line-of-sight angle is in the range of 35°—75°,the imaging deviation is relatively flat,and the imaging deviation does not gradually decrease with the increase of line-of-sight angle,but there is a turning point in the middle of 5°—75°.The imaging deviation decreases first and then increases,and the turning point of line-of-sight angle is closely related to height.

关键词： deviation angle turning

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Intelligent Railway Block System Design with Lightweight CNN and RFID

Intelligent Railway Block System Design with Lightweight CNN...

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2024 International Automatic control Conference, CACS 2024

作者： Chang, You-Yi Hung, Kuei-Jung Perng, Jau-Woei National Yang Ming Chiao Tung University Department of Electrical and Computer Engineering Hsinchu300 Taiwan Institute of Electrical and Control Engineering National Yang Ming Chiao Tung University Hsinchu300 Taiwan

ISBN: (纸本)9798350354904

Obstacles on railways present significant safety risks. In particular, Taiwan Railways (TR) often faces natural and man-made obstructions. While advanced artificial intelligence (AI) models offer precise detection, their high computational demands limit deployment. Thus, lightweight convolutional neural network (CNN) models have been developed, balancing detection accuracy with hardware efficiency. Utilizing feature-extracting preprocessing, these models achieve F2 scores above 0.89 and recalls over 0.9, while maintaining computational complexity under 15 MFLOPs and model sizes within 25 kB. This ensures compatibility with standard PCs and low-cost, low-power systems, enabling widespread deployment in regions lacking advanced AI monitoring. Additionally, TR's aging block and train-tracking systems, which are prone to failures, are enhanced with a power-saving radio frequency identification(RFID) system compatible with the CNN detector and Bluetooth-enabled passenger displays. This modernizes TR's infrastructure, improving safety operations and travel-information reliability. © 2024 IEEE.

关键词： Radio frequency identification (RFID)

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Building a Credit Scoring Model Based on the Type of Target Variable

Building a Credit Scoring Model Based on the Type of Target ...

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2023 IEEE International Conference on Smart Information Systems and Technologies, SIST 2023

作者： Ordabayeva, Zhanna Moldagulova, Aiman Riza, Ibrahim Institute of Automation and Information Technologies Satpayev University Almaty Kazakhstan Alanya Alaaddin Keykubat University Department of Computer Engineering Alanya Turkey

ISBN: (纸本)9798350335040

With the rapid development of big data and internet technology, big data financial platform companies collect and organize massive data through their own platforms, improve credit scoring parameters, and use machine learning methods to conduct comprehensive and scientific credit scoring assessments. Thus, banks in the construction of credit scoring face big problems. Based on the limitations of the existing system and methods of personal credit score, it is necessary to study personal credit score based on machine learning methods, improve the parameters and scoring system of personal credit score, clarify data collection channels, and use dynamic desensitization technology to desensitize data, LOF test method to test outliers' data and a random forest method to complete missing data values. You then use the gradient boosting decision tree method to view the important indicators, process the tested indicators with a scorecard model based on logistic regression, and derive a personal credit score. Finally, the model is tested with a BP neural network and the model is used to predict the level of personal credit. The study shows that machine learning can further improve the accuracy of individuals' credit ratings and provide the scientific basis and reference for credit ratings of commercial banks. © 2023 IEEE.

关键词： Decision trees

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CorpusCompass: A Tool for Data Extraction and Dataset Generation in Corpus Linguistics 9

CorpusCompass: A Tool for Data Extraction and Dataset Genera...

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9th Italian Conference on Computational Linguistics, CLiC-it 2023

作者： Adnan, Muhadj Brandizzi, Nicolo Arabic Linguistics University of Bayreuth Bayreuth95447 Germany Department of Computer Automation and Management Engineering Sapienza University of Rome 00185 Italy

As the need for effective tools in Corpus Linguistics continues to grow, particularly for under-resourced languages and nonstandard annotation tasks, specialized software has become essential for processing and analyzing large and complex datasets. This paper introduces CorpusCompass, a new open source tool for data extraction and dataset creation, which offers a number of functionalities for researchers interested in analyzing corpora. The tool can derive structured datasets from text annotated with custom annotation schemes, while also checking for errors and consistency. By defining custom variables of interest and annotation rules, researchers can tailor the tool to their specific needs, making it particularly valuable for unique linguistic research domains. When used in conjunction with statistical analysis or visualization tools, CorpusCompass helps researchers to gain insights into the factors that are affecting language use. In this paper, we introduce the tool and give a real-world example in the field of language variation. © 2023 Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).

关键词： Extraction

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Moving Object Segmentation by Combing Deep Learning and Geometric Constraints for Autonomous Driving

Moving Object Segmentation by Combing Deep Learning and Geom...

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2023 China automation Congress, CAC 2023

作者： Yuan, Jianying Wu, Sidong Tsotsos, John K. School of Automation Chengdu University of Information Technology Chengdu China York University Department of Electrical Engineering and Computer Science Toronto Canada

ISBN: (纸本)9798350303759

Moving object segmentation is an important and challenging task in the field of autonomous driving. This paper presents a novel and effective method that combines deep learning and geometric constraints for moving object segmentation. First, potential moving objects in the traffic scene are segmented using SOLOV2. Next, the residual optical flows (ROFs) of feature points on the potential moving objects are calculated. Lastly, a strategy considering randomness of ROF angles and ROF magnitude thresholding is developed to estimate the motion status of these potential moving objects. The effectiveness of the proposed method is evaluated on the KITTI and KITTI MOD datasets, and the experimental results demonstrate that the proposed method can achieve higher precision and recall compared to the existing algorithms. © 2023 IEEE.

关键词： Autonomous vehicles

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