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2024 Conference of Young researchers in Electrical and Electronic Engineering, ElCon 2024

作者： Khilko, Dmitry V. Stepchenkov, Yuri A. Orlov, Georgy A. Grigoriev, Artem A. Diachenko, Yuri G. Institute of Informatics Problems Federal Research Center 'Computer Science and Control' of the Russian Academy of Sciences Moscow Russia

ISBN: (纸本)9798350360646

Within the article the issue of automatic synthesis of self-timed circuits from the original synchronous description in the Verilog language is covered. The key stage in the synthesis of a self-timed circuit is the procedure that identifies the circuit pipeline organization followed by desynchronization. The essence of desynchronization is to replace the global clock signal with a set of request-response interaction signals between functional blocks within an interstage pipeline. This method uses the open source Yosys synthesis toolkit to transform the original behavioral description into a set of logical equations and library elements. The resulting set is subjected to a desynchronization procedure and is formed as a task for further synthesis of a self-timed circuit in the Verilog language. In this case, indication of the end of transient processes is implemented both in combinational and memory circuits. © 2024 IEEE.

关键词： ANTLR desynchronization logic synthesis self-timed circuits Yosys

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Wing buzzing as a mechanism for generating vibrational signals in psyllids (Hemiptera: Psylloidea)

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Insect science 2024年第5期31卷 1466-1476页

作者： Jernej Polajnar Elizaveta Kvinikadze Adam W.Harley Igor Malenovsky Department of Organisms and Ecosystems Research National Institute of BiologyLjubljanaSlovenia Department of Botany and Zoology Faculty of ScienceMasaryk UniversityBrnoCzech Republic Computer Science Department Stanford UniversityStanfordCaliforniaUSA

Psyllids,or jumping plant lice(Hemiptera:Sternorrhyncha:Psylloidea),are a group of small phytophagous insects that include some important pests of crops *** communication of psyllids occurs via vibrations transmitted through host plants,which play an important role in mate recognition and *** signals are species-specific and can be used to aid in psyllid taxonomy and pest ***-eral hypotheses have been proposed for the mechanism that generates these vibrations,of which stridulation,that is,friction between parts of the forewing and thorax,has re-ceived the most *** have investigated vibrational communication in the Euro-pean pear psyllid species Cacopsylla pyrisuga(Foerster,1848)using laser vibrometry and high-speed video recording,to directly observe the movements associated with signal *** describe for the first time the basic characteristics of the signals and signal emission of this *** on observations and analysis of the video recordings us-ing a point-tracking algorithm,and their comparison with laser vibrometer recordings,we argue that males of *** produce the vibrations primarily by wing buzzing,that is,tremulation that does not involve friction between the wings and *** observed signal properties with previously published data,we predict that wing buzzing is the main mechanism of signal production in all vibrating psyllids.

关键词： Cacopsylla pyrisuga high-speed video recording jumping plant lice sexual communication substrate-borne vibrational signals vibrational communication

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Where to Turn: Road Fork Detection in Sparse 3D Point Cloud 3rd

Where to Turn: Road Fork Detection in Sparse 3D Point Clou...

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3rd International Conference on Autonomous Unmanned Systems, ICAUS 2023

作者： Hu, Di Zhang, Kai Zhong, Yipan Xu, Jiachen Yuan, Xia Zhao, Chunxia School of Computer Science and Engineering Nanjing University of Science and Technology Nanjing210094 China Research Institute of Intelligence Southwest Research Institute of Information Control Chengdu611700 China

ISBN: (纸本)9789819711024

Intersection detection plays a crucial role in localizing and planning the path of autonomous vehicles in urban environments. This paper presents a novel approach, PVWO, for adaptive intersection detection in autonomous vehicles equipped with 3D LiDAR. Firstly, the algorithm removes ground and obstacles effectively, and eliminates noise points. Secondly, a polyarticular viewpoints beam model is applied to detect the type and location of intersections. Thirdly, a linear feature extraction approach in a rolling window is proposed to detect road width and optimize key parameters, enhancing model robustness across different scenes. Compared to parallel intersection detection algorithms, our method exhibits excellent performance under diverse road conditions. Experiments in sparse point clouds show an average precision exceeding 89% and an average processing time of approximately 88 ms/frame. These results demonstrate that our method can accurately detect intersections in real-time, across various road structures. © Beijing HIWING Scientific and Technological Information institute 2024.

关键词： Extraction

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Application of a three-phase unified power quality conditioner in a microgrid

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IET Smart Grid 2024年第6期7卷 872-890页

作者： Wu, Tsung-Hsun Huang, Shu-Syuan Chen, Pei-Yin Department of Computer Science and Information Engineering National Cheng Kung University Tainan Taiwan Department of Power Electronics Industrial Technology Research Institute Tainan Taiwan

In power distribution systems, common issues such as voltage fluctuations, voltage instability, current harmonics, and power imbalances often arise, negatively impacting the stability and power quality (PQ) of the power system. As an advanced power electronics device, the unified power quality conditioner (UPQC) can effectively address these problems. Therefore, the integration of UPQC into power distribution lines can enhance the stability and reliability of the power system, providing higher-quality power supply to meet the needs of both users and suppliers for PQ. The authors utilise the TI TMS320F28377D chip as the control core to construct a simple yet highly efficient UPQC system. Through simulation, the correctness of the voltage and current compensation algorithms has been verified, and the overall system feasibility has been validated using a 100-kVA series-shunt inverter. The experimental results show that the voltage compensation range of the UPQC is 380V ± 10%. During sudden current drops, the imbalance rate can be reduced from 85.5% to 1.32% after controlled compensation. During sudden current rises, the imbalance rate can be reduced from 13.1% to 1.56% after controlled compensation. These findings demonstrate the effectiveness of the UPQC system in improving PQ and system stability in power distribution networks. © 2024 The Author(s). IET Smart Grid published by John Wiley & Sons Ltd on behalf of The Institution of Engineering and Technology.

关键词： Power quality

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Self-Timed Trigger Synthesis with Composite Write-Enable Input

Self-Timed Trigger Synthesis with Composite Write-Enable Inp...

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2024 Conference of Young researchers in Electrical and Electronic Engineering, ElCon 2024

作者： Stepchenkov, Yuri A. Diachenko, Yuri G. Khilko, Dmitri V. Morozov, Nikolai V. Berstnev, Sergey V. Stepchenkov, Dmitri Y. Institute of Informatics Problems Federal Research Center 'Computer Science and Control' of the Russian Academy of Sciences Moscow Russia

ISBN: (纸本)9798350360646

The article analyzes the correct implementation problem for self-timed latches and flip-flops with a composite write-enable input. Latch and flip-flop circuit implementation cases are described depending on the type of self-timed coding of input signals. A software tool verifying digital circuits on self-timing proves the proposed circuitry solution's correctness. © 2024 IEEE.

关键词： complexity flip-flop implementation indication latch self-timed circuit

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Track correlation algorithm based on CNN-LSTM for swarm targets

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Journal of Systems Engineering and Electronics 2024年第2期35卷 417-429页

作者： CHEN Jinyang WANG Xuhua CHEN Xian Research Institute for National Defense Engineering Academy of Military SciencesLuoyang 471023China Information Engineering University Zhengzhou 450001China School of Computer Science and Technology Xidian UniversityXi’an 710071China

The rapid development of unmanned aerial vehicle(UAV) swarm, a new type of aerial threat target, has brought great pressure to the air defense early warning system. At present, most of the track correlation algorithms only use part of the target location, speed, and other information for *** this paper, the artificial neural network method is used to establish the corresponding intelligent track correlation model and method according to the characteristics of swarm ***, a route correlation method based on convolutional neural networks (CNN) and long short-term memory (LSTM)Neural network is designed. In this model, the CNN is used to extract the formation characteristics of UAV swarm and the spatial position characteristics of single UAV track in the formation,while the LSTM is used to extract the time characteristics of UAV swarm. Experimental results show that compared with the traditional algorithms, the algorithm based on CNN-LSTM neural network can make full use of multiple feature information of the target, and has better robustness and accuracy for swarm targets.

关键词： track correlation correlation accuracy rate swarm target convolutional neural network(CNN) long short-term memory(LSTM)neural network

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COVID-19 Classification of CT Lung Images Using Intelligent Wolf Optimization Based Deep Convolutional Neural Network 1st

COVID-19 Classification of CT Lung Images Using Intelligent ...

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1st International Conference on Machine Intelligence for research and Innovations, MAiTRI 2023

作者： Varma, Om Ramakisan Kalra, Mala Computer Science and Engineering Department National Institute of Technical Teachers Training and Research Chandigarh India

ISBN: (纸本)9789819981281

Chest computed tomography (CT) imaging is highly reliable and practical in diagnosing and analyzing COVID-19, mainly in the infectious region rather than reverse-transcription polymerase chain reaction (RT-PCR). The intelligent wolf optimization-deep convolutional neural network (deep CNN) classifier is proposed to classify COVID from the CT images in this research. The texture features are acquired from three different regions of the CT chest images, namely the lung region, area, and contour using the texture descriptors, viz "local binary pattern (LBP), local optimal oriented pattern (LOOP)", and ResNet-101-based features. The texture features form the input to the proposed intelligent wolf-based deep CNN classifier, which performs the COVID-19 classification. The proposed classifier achieves accuracy, sensitivity, and specificity of 85.32%, 85.74%, and 87.57%, respectively for the training–testing ratio of 80–20. The accuracy, sensitivity, and specificity of the intelligent wolf optimization-deep CNN classifier are 88.37%, 89.47%, and 91.29% respectively for the K-fold value of 10. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： COVID-19

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Fixed-time-synchronized control: a system-dimension-categorized approach

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science China(Information sciences) 2023年第7期66卷 177-194页

作者： Wanyue JIANG Shuzhi Sam GE Dongyu LI Institute for Future & Shandong Key Laboratory of Industrial Control Technology School of Automation Qingdao University Department of Electrical and Computer Engineering National University of Singapore School of Cyber Science and Technology Beihang University Shanghai Institute of Satellite Engineering

This study addresses the fixed-time-synchronized control problem of perturbed multi-input multioutput(MIMO) systems. In the task of fixed-time-synchronized control, different dimensions of the output signal in MIMO systems are required to reach the desired value simultaneously within a fixed time *** MIMO system is categorized into two cases: the input-dimension-dominant and the state-dimensiondominant cases. The classification is defined according to the dimension of system signals and, more importantly, the capability of converging at the same time. For each kind of MIMO system, sufficient Lyapunov conditions for fixed-time-synchronized convergence are explored, and the corresponding robust sliding mode controllers are designed. Moreover, perturbations are compensated using the super-twisting technique. The brake control of the vertical takeoff and landing aircraft is considered to verify the proposed method for the input-dimension-dominant case, which shows the essential advantages of decreasing the energy consumption and the output trajectory length. Furthermore, comparative numerical simulations are performed to show the semi-time-synchronized property for the state-dimension-dominant case.

关键词： fixed-time-synchronized convergence sliding mode control perturbed MIMO systems

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Practical Proposals to Ensure the national Goals of the Russian Federation and the Implementation of Programs and Development Plans for 6 Years and a Forecast for 12 Years 17

Practical Proposals to Ensure the National Goals of the Russ...

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17th International Conference on Management of Large-Scale System Development, MLSD 2024

作者： Gonchar, Dmitry Irikov, Valery Federal Research Center «computer Science and Control» of Ras Moscow Russia V.A. Trapeznikov Institute of Control Sciences of Ras Moscow Russia

ISBN: (纸本)9798350375718

An analysis of the features of the 6-year planning period including new ambitious goals set by the President of the Russian Federation showed that there are possible scenarios in which these goals may be unachievable in comparison with significant limitations of current practice. A Proposal is presented that can prevent this threat. © 2024 IEEE.

关键词： Sustainable development goals

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Resource investment for DDoS attack resistant SDN: a practical assessment

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science China(Information sciences) 2023年第7期66卷 112-129页

作者： Bin YUAN Fan ZHANG Jun WAN Huan ZHAO Shui YU Deqing ZOU Qiangsheng HUA Hai JIN School of Cyber Science and Engineering Huazhong University of Science and Technology National Engineering Research Center for Big Data Technology and System Services Computing Technology and System Lab Hubei Engineering Research Center on Big Data Security Shenzhen Huazhong University of Science and Technology Research Institute School of Computer Science and Technology Huazhong University of Science and Technology Cluster and Grid Computing Lab School of Computer Science University of Technology Sydney

Software-defined networks(SDNs) present a novel network architecture that is widely used in various datacenters. However, SDNs also suffer from many types of security threats, among which a distributed denial of service(DDoS) attack, which aims to drain the resources of SDN switches and controllers,is one of the most common. Once the switch or controller is damaged, the network services can be *** defense schemes against DDoS attacks have been proposed from the perspective of attack detection;however, such defense schemes are known to suffer from a time consuming and unpromising accuracy, which could result in an unavailable network service before specific countermeasures are taken. To address this issue through a systematic investigation, we propose an elaborate resource-management mechanism against DDoS attacks in an SDN. Specifically, by considering the SDN topology, we leverage the M/M/c queuing model to measure the resistance of an SDN to DDoS attacks. Network administrators can therefore invest a reasonable number of resources into SDN switches and SDN controllers to defend against DDoS attacks while guaranteeing the quality of service(QoS). Comprehensive analyses and empirical data-based experiments demonstrate the effectiveness of the proposed approach.

关键词： SDN security DDoS attacks resource management queueing theory QoS

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