2021 7th International Conference on Systems and Informatics (ICSAI)最新文献_第3页

Multi-target Trajectory Analysis based on Extended Perception Domain and Skeleton Extraction 基于扩展感知域和骨架提取的多目标轨迹分析

2021 7th International Conference on Systems and Informatics (ICSAI) Pub Date : 2021-11-13 DOI: 10.1109/icsai53574.2021.9664177

Bo Zhu, Fangjie Zhong, X. Lv, Peng Qiao

引用次数: 0

Some the approximate reasoning models over attribute logic semantic 基于属性逻辑语义的近似推理模型

2021 7th International Conference on Systems and Informatics (ICSAI) Pub Date : 2021-11-13 DOI: 10.1109/ICSAI53574.2021.9664182

Jialu Zhang, Juan Xiao

引用次数: 0

Steady-State Optimization of a Biological Process 生物过程的稳态优化

2021 7th International Conference on Systems and Informatics (ICSAI) Pub Date : 2021-11-13 DOI: 10.1109/icsai53574.2021.9664197

Gongxian Xu, Zhuxi Li, Yuzhu Wang

引用次数: 0

Dynamic Weighted Anytime Bounded Cost Search Algorithm 动态加权随时有界代价搜索算法

2021 7th International Conference on Systems and Informatics (ICSAI) Pub Date : 2021-11-13 DOI: 10.1109/icsai53574.2021.9664215

Jiaying Che, Xiangrong Tong

{"title":"Dynamic Weighted Anytime Bounded Cost Search Algorithm","authors":"Jiaying Che, Xiangrong Tong","doi":"10.1109/icsai53574.2021.9664215","DOIUrl":"https://doi.org/10.1109/icsai53574.2021.9664215","url":null,"abstract":"The best first algorithm like A* can find the optimal path if the time and memory is enough. However, it is usually difficult to do it in many cases. Moreover, there is always not enough time to support algorithm to find the optimal solution. On the other hand, users usually need an available solution rather than the optimal solution. Based on this, we propose Dynamic weighted Anytime Bounded Cost Search(DW-ABCS) algorithm. It combines the Bounded sub-optimal search(BSS) with the Bounded cost search(BCS) and improves the problem that BCS may not find a solution if the cost bound set is less than the optimal solution. Furthermore, in order to improve the efficiency of search, DW-ABCS algorithm dynamically modify the cost bound by considering the depth of nodes in the search process. In this way, the nodes considered become less and less and the complexity of algorithm will be lower and lower along the depth of search increasing, which improves the search efficiency significantly. In addition, the idea of anytime algorithm is used to find a better solution in every iteration. In this way, the algorithm can quickly find a sub-optimal path within suboptimal bound, and then reducing the sub-optimal bound to optimize it until the time out. If time permitted, the algorithm can converge to the optimal solution. Specially, we conducted a rigorous theoretical analysis. The various gird maps are used to verify the performance of DW-ABCS. Experimental results show that DW-ABCS algorithm can effectively identify the sub-optimal solution in different scenes.","PeriodicalId":131284,"journal":{"name":"2021 7th International Conference on Systems and Informatics (ICSAI)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122527548","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

Optimal Virtual Machine Allocations in Cloud Computing System 云计算系统中的虚拟机优化分配

2021 7th International Conference on Systems and Informatics (ICSAI) Pub Date : 2021-11-13 DOI: 10.1109/icsai53574.2021.9664088

Wenlong Ni, Jue Wang, Ziyang Liu, Huaixiang Song, Huangning Chen, Xinyu Zhou

引用次数: 0

The Business Structure of a Metrology Institution Based on Linear Regression Analysis 基于线性回归分析的计量机构业务结构研究

2021 7th International Conference on Systems and Informatics (ICSAI) Pub Date : 2021-11-13 DOI: 10.1109/icsai53574.2021.9664213

D. Zhao, Yudong Liu, Xiaojing Zhang, Tianyi Liu, Zhi Hu, Yiran Zheng

引用次数: 1

Dynamic Maintenance Document Management Based on BOM 基于BOM的动态维护文档管理

2021 7th International Conference on Systems and Informatics (ICSAI) Pub Date : 2021-11-13 DOI: 10.1109/icsai53574.2021.9664090

Chunliu Zhou, Shan Ye, Hongjun Wang, Zhenhua Gao

引用次数: 0

Coordinated control strategy of the battery energy storage system for lifetime extension and efficiency improvement in wind power applications 风电应用中电池储能系统延长寿命和提高效率的协调控制策略

2021 7th International Conference on Systems and Informatics (ICSAI) Pub Date : 2021-11-13 DOI: 10.1109/icsai53574.2021.9664112

W. Chai, Bobo Li

引用次数: 0

Spiking Transformer Networks: A Rate Coded Approach for Processing Sequential Data 脉冲变压器网络:一种处理顺序数据的速率编码方法

2021 7th International Conference on Systems and Informatics (ICSAI) Pub Date : 2021-11-13 DOI: 10.1109/ICSAI53574.2021.9664146

Etienne Mueller, V. Studenyak, Daniel Auge, Alois Knoll

{"title":"Spiking Transformer Networks: A Rate Coded Approach for Processing Sequential Data","authors":"Etienne Mueller, V. Studenyak, Daniel Auge, Alois Knoll","doi":"10.1109/ICSAI53574.2021.9664146","DOIUrl":"https://doi.org/10.1109/ICSAI53574.2021.9664146","url":null,"abstract":"Machine learning applications are steadily increasing in performance, while also being deployed on a growing number of devices with limited energy resources. To minimize this trade-off, researchers are continually looking for more energy efficient solutions. A promising field involves the use of spiking neural networks in combination with neuromorphic hardware, significantly reducing energy consumption since energy is only consumed as information is being processed. However, as their learning algorithms lag behind conventional neural networks trained with backpropagation, not many applications can be found today. The highest levels of accuracy can be achieved by converting networks that are trained with backpropagation to spiking networks. Spiking neural networks can show nearly the same performance in fully connected and convolutional networks. The conversion of recurrent networks has been shown to be challenging. However, recent progress with transformer networks could change this. This type of network not only consists of modules that can easily be converted, but also shows the best accuracy levels for different machine learning tasks. In this work, we present a method to convert the transformer architecture to networks of spiking neurons. With only minimal conversion loss, our approach can be used for processing sequential data with very high accuracy while offering the possibility of reductions in energy consumption.","PeriodicalId":131284,"journal":{"name":"2021 7th International Conference on Systems and Informatics (ICSAI)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133711944","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: 10

A New A* Method toward Routing Plan for Marine Vessel 船舶航路规划的一种新的A*方法

2021 7th International Conference on Systems and Informatics (ICSAI) Pub Date : 2021-11-13 DOI: 10.1109/ICSAI53574.2021.9664032

Daheng Zhang, Chengjie Hou, Chuang Zhang

引用次数: 0