2022 12th International Conference on Information Science and Technology (ICIST)最新文献_第4页

End-to-End Model Based on Bidirectional LSTM and CTC for Online Handwritten Mongolian Word Recognition 基于双向LSTM和CTC的在线手写蒙古语词识别端到端模型

2022 12th International Conference on Information Science and Technology (ICIST) Pub Date : 2022-10-14 DOI: 10.1109/ICIST55546.2022.9926844

Da Teng, Daoerji Fan, Fengshan Bai, Yuecai Pan

引用次数: 0

Computing Signed Networks Structural Balance via Node Influenced Memetic Algorithm 基于节点影响模因算法计算签名网络结构平衡

2022 12th International Conference on Information Science and Technology (ICIST) Pub Date : 2022-10-14 DOI: 10.1109/ICIST55546.2022.9926887

Zhuo Liu, Yifei Sun, Xin Sun, Jie Yang, Yifei Cao

{"title":"Computing Signed Networks Structural Balance via Node Influenced Memetic Algorithm","authors":"Zhuo Liu, Yifei Sun, Xin Sun, Jie Yang, Yifei Cao","doi":"10.1109/ICIST55546.2022.9926887","DOIUrl":"https://doi.org/10.1109/ICIST55546.2022.9926887","url":null,"abstract":"The studies on structural balance of signed works have received a great attention due to its capability to describe the potential cooperation and conflicts among entities. Structure balance theory studies the unbalanced relationships in signed networks. The computation of structural balance aims to search for the least unbalance degree of a signed network to transform an unbalanced network into balanced one with the least cost. In this study, under the weak definition of structural balance theory, a node influenced memetic algorithm, called NIMA, is proposed to minimize the objective function. There are three main parts in NIMA. Firstly, a neighbor node influence-based initialization operation is applied to create an initial population for speeding the convergence process. Secondly, a node degree-based genetic operation is employed as the global search method. Moreover, a multi-level greedy local search is adopted to approach the potential optimum effectively. Extensive experiments on 9 real-world signed networks demonstrate that the proposed NIMA performs more efficiently, compared to other classic algorithms, on computing the structural balance of signed networks.","PeriodicalId":211213,"journal":{"name":"2022 12th International Conference on Information Science and Technology (ICIST)","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126821370","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Tracking Synchronization of Coupled Non-identical Neural Networks Via Iterative Learning Control 基于迭代学习控制的耦合非同构神经网络跟踪同步

2022 12th International Conference on Information Science and Technology (ICIST) Pub Date : 2022-10-14 DOI: 10.1109/ICIST55546.2022.9926852

Jian Yong, Junhong Zhao, Ting Liu, Ting Lei, W. Deng, Peng Liu

引用次数: 0

Sonar Target Detection Based on a Dual Channel Attention Convolutional Network 基于双通道注意卷积网络的声纳目标检测

2022 12th International Conference on Information Science and Technology (ICIST) Pub Date : 2022-10-14 DOI: 10.1109/ICIST55546.2022.9926829

Yang Liu, Ruiyi Wang, Kejing Cao, Jiu-Ling Wang, Zezhao Shi, Yadi Wang, Yingjie Zhou

{"title":"Sonar Target Detection Based on a Dual Channel Attention Convolutional Network","authors":"Yang Liu, Ruiyi Wang, Kejing Cao, Jiu-Ling Wang, Zezhao Shi, Yadi Wang, Yingjie Zhou","doi":"10.1109/ICIST55546.2022.9926829","DOIUrl":"https://doi.org/10.1109/ICIST55546.2022.9926829","url":null,"abstract":"Due to the complexity and diversity of underwater environment, high-precision and fast target detection is a scientific problem in underwater acoustic information extraction, especially the underwater target detection of sonar images still has a technical bottleneck. With the development of intelligent detection technology, as the state of the art model, target detection model based on deep neural network adopts different scale feature extraction mechanism, which is easy to generate false alarm for important targets and difficult to overcome the contradiction between false detection and missed detection. The attention mechanism can fully learn the features of the target and improve the accuracy of target detection. Considering the characteristics of seabed exploration task and underwater target, we propose a deep convolution network based on dual channel attention mechanism (DCNet), This model can strengthen the features of the target of interest while weakening the irrelevant background noise information, so as to improve the detection accuracy of the target and enhance the detection ability of the underwater target. The experimental results show that the average accuracy of the dual channel attention mechanism can achieve higher accuracy than the original model, and is superior to other target detection models in accuracy and performance. This research has important practical significance for improving the task of underwater target detection of sonar images and has a wide range of engineering application prospects in the detection of underwater acoustic systems.","PeriodicalId":211213,"journal":{"name":"2022 12th International Conference on Information Science and Technology (ICIST)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132715179","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Bounded UDE based MPPT Control for Wind Turbines 基于有界UDE的风力发电机MPPT控制

2022 12th International Conference on Information Science and Technology (ICIST) Pub Date : 2022-10-14 DOI: 10.1109/ICIST55546.2022.9926832

Qi Chen, Guozhong Wang, Lin Wang, Yong Sun, Xuguo Jiao, Xiaowen Zhou, Wenchao Meng, Qinmin Yang

{"title":"Bounded UDE based MPPT Control for Wind Turbines","authors":"Qi Chen, Guozhong Wang, Lin Wang, Yong Sun, Xuguo Jiao, Xiaowen Zhou, Wenchao Meng, Qinmin Yang","doi":"10.1109/ICIST55546.2022.9926832","DOIUrl":"https://doi.org/10.1109/ICIST55546.2022.9926832","url":null,"abstract":"Due to the randomness and intermittency of wind speed, the complexity of wind turbine operating environment and its own structure, the maximum power point tracking (MPPT) control of wind turbines is still a hot topic for control communities. In this study, a MPPT torque controller is designed for variable-speed wind turbines (VSWT) based on the bounded uncertainty and disturbance estimator (UDE). First, the optimal rotor speed is calculated according to the relationship between the wind turbine's power coefficient and the tip speed ratio. Based on the dynamic model of VSWT, a torque controller based on UDE, which can eliminate the control deviation caused by the uncertainties and disturbances, is designed. However, traditional UDE control have integral phenomenon, which will affect the tracking performance and even causes the system to run out of control. To deal with this, a bounded UDE torque controller along with a time-varying constraint coefficient is developed. It can avoid the integral windup issue caused by the input torque of the VSWT exceeding the maximum boundary of the actuator, and achieve a more stable optimal speed tracking performance. Finally, the effectiveness of the proposed MPPT torque controller is verified through the FAST (Fatigue, Aerodynamics, Structures, and Turbulence) platform.","PeriodicalId":211213,"journal":{"name":"2022 12th International Conference on Information Science and Technology (ICIST)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130613190","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Multi-objective Community Detection Algorithm based on the Adaptive Mutation Operator 基于自适应变异算子的多目标社区检测算法

2022 12th International Conference on Information Science and Technology (ICIST) Pub Date : 2022-10-14 DOI: 10.1109/ICIST55546.2022.9926771

Wenxue Wang, Qingxia Li, Wenhong Wei, Simin Yang

引用次数: 0

A hybrid intelligent system for assisting low-vision people with over-the-counter medication 这是一个混合智能系统，用于帮助低视力人群使用非处方药物

2022 12th International Conference on Information Science and Technology (ICIST) Pub Date : 2022-10-14 DOI: 10.1109/ICIST55546.2022.9926891

Man-Fai Leung, Hangjun Che, Chin-Hung Kwok, Lewis Chan

引用次数: 0

An self-adaptive cluster centers learning algorithm based on expectation maximization algorithm 基于期望最大化算法的自适应聚类中心学习算法

2022 12th International Conference on Information Science and Technology (ICIST) Pub Date : 2022-10-14 DOI: 10.1109/ICIST55546.2022.9926885

Kunpeng Jiang, Huifang Guo, Kun Yang, Haipeng Qu, Miao Li, Liming Wang

{"title":"An self-adaptive cluster centers learning algorithm based on expectation maximization algorithm","authors":"Kunpeng Jiang, Huifang Guo, Kun Yang, Haipeng Qu, Miao Li, Liming Wang","doi":"10.1109/ICIST55546.2022.9926885","DOIUrl":"https://doi.org/10.1109/ICIST55546.2022.9926885","url":null,"abstract":"It is called unsupervised learning that does not rely on any labeled value, and finds the relationship between samples by mining the intrinsic characteristics of samples. Clustering algorithm is a kind of unsupervised learning algorithm. Although many clustering algorithms have been studied in modern science and applied in many fields, it is their common problem that the quantity of clusters has to be specified. Based on EM algorithm, this paper proposes a cluster centers learning algorithm (CCL) which can self-adaptively calculate the quantity and parameters of clusters according to the characteristics of samples themselves. The algorithm tentatively fills the shortage of existing clustering algorithms. The paper proposes the elementary merger and splitting criteria. The criteria can determine whether a point is the cluster center according to the characteristics of samples. Based on the elementary criteria, the algorithm proposed by the paper can adapt to calculate the correct quantity of clusters and gives the corresponding clustering parameters. Monte Carlo simulation is used to evaluate the effectiveness of the proposed algorithm. The experimental results show that the algorithm proposed by the paper can start from an arbitrary given cluster center and calculates the cluster centers close to the actual cluster centers of the samples themselves, so as to complete the self-adaptive unsupervised clustering.","PeriodicalId":211213,"journal":{"name":"2022 12th International Conference on Information Science and Technology (ICIST)","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127103092","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Improved ALOHA-based RFID Tag Anti-collision Algorithm 改进的基于aloha的RFID标签防碰撞算法

2022 12th International Conference on Information Science and Technology (ICIST) Pub Date : 2022-10-14 DOI: 10.1109/ICIST55546.2022.9926819

Tong Xiao, Guoliang Yu, Zhiyu Jin, Chunxue Ji, Longshan Wang, Fan Zhang

引用次数: 1

Research on trajectory planning of airline baggage handling robot 航空行李搬运机器人轨迹规划研究

2022 12th International Conference on Information Science and Technology (ICIST) Pub Date : 2022-10-14 DOI: 10.1109/ICIST55546.2022.9926842

Pan Zhang, Jiulin Cheng, Wei Zhang, Xin Lu, Yuhao Chen

{"title":"Research on trajectory planning of airline baggage handling robot","authors":"Pan Zhang, Jiulin Cheng, Wei Zhang, Xin Lu, Yuhao Chen","doi":"10.1109/ICIST55546.2022.9926842","DOIUrl":"https://doi.org/10.1109/ICIST55546.2022.9926842","url":null,"abstract":"In order to improve the accuracy and efficiency of the baggage pick-up and placement process, the problem of bag-gage pick-up and placement trajectory planning of the airline bag-gage palletizing robot is studied. Taking the baggage palletizing experiment platform as the application scenario, the trajectory of the pick-up segment for accurately picking up the baggage with the pallet is planned. The 4-3-4 polynomial interpolation method is used to plan the trajectory of the placement segment, and MATLAB is used to simulate the trajectory. The simulation results show that the planned trajectory is smooth and continuous, there is no major impact during operation. Finally, the multi-ob-jective particle swarm optimization (MOPSO) algorithm is used to optimize the trajectory with the target of trajectory running time, luggage pallet motion impact and angular acceleration. Field experiments in the laboratory show that the actual trajectory of the robot is basically consistent with the planned trajectory. The optimized trajectory running time is less than 7 seconds, the trajectory running is stable. The angular acceleration distribution of each axis is relatively uniform, which can realize the accurate retrieval and stable placement of baggage, and effectively improve the accuracy and efficiency of baggage pick-up and placement.","PeriodicalId":211213,"journal":{"name":"2022 12th International Conference on Information Science and Technology (ICIST)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116525172","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0