2021 International Conference on Networking Systems of AI (INSAI)最新文献

Research and Implementation of Water Quality Grade Prediction based on Neural Network 基于神经网络的水质等级预测研究与实现

2021 International Conference on Networking Systems of AI (INSAI) Pub Date : 2021-11-01 DOI: 10.1109/INSAI54028.2021.00063

Yang Gong, P. Zhang

引用次数: 0

Registration of Point Clouds: A Survey 点云配准:综述

2021 International Conference on Networking Systems of AI (INSAI) Pub Date : 2021-11-01 DOI: 10.1109/INSAI54028.2021.00034

Dongfang Xie, Wei Zhu, Fengxiang Rong, Xu Xia, Huiliang Shang

引用次数: 1

Cable Life Prediction Based on BP Neural Network 基于BP神经网络的电缆寿命预测

2021 International Conference on Networking Systems of AI (INSAI) Pub Date : 2021-11-01 DOI: 10.1109/INSAI54028.2021.00055

Yang Hu, Chizhi Huang, Dongdong Zhang, Chengxin Pang, Jinlong Wang, Chenhang Dong

{"title":"Cable Life Prediction Based on BP Neural Network","authors":"Yang Hu, Chizhi Huang, Dongdong Zhang, Chengxin Pang, Jinlong Wang, Chenhang Dong","doi":"10.1109/INSAI54028.2021.00055","DOIUrl":"https://doi.org/10.1109/INSAI54028.2021.00055","url":null,"abstract":"A power cable is a cable used to transmit and distribute high-power electrical energy in the backbone of the power system. Cross-linked polyethylene insulated cable has been widely used due to its various advantages, and its design life is generally 30 years, during which it will inevitably be affected by the internal or external environment of the cable, resulting in cable accidents. At present, most of the studies mainly focus on the local influencing factors of cables, which are broadly divided into three categories: mechanical properties, physicochemical properties, and electrical properties, and the results of the studies can only reflect the assessment of the influence factors on the degree of cable aging, and cannot specifically give the number of years the cable has been in operation. Therefore, this paper proposes an intelligent algorithm model based on BP neural network. The algorithm takes the measured operational data of the cable as input and then trains the network model to realize the calculation of the operational life of the cable. The simulation results show that the algorithm has the advantages of high accuracy and fast convergence.","PeriodicalId":232335,"journal":{"name":"2021 International Conference on Networking Systems of AI (INSAI)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114437130","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: 2

Recognition of Plant Leaf Diseases Based on Shallow Convolutional Neural Network 基于浅卷积神经网络的植物叶片病害识别

2021 International Conference on Networking Systems of AI (INSAI) Pub Date : 2021-11-01 DOI: 10.1109/INSAI54028.2021.00067

Xun Liu, Yuying Li, NianQing Cai, W. Kuang, Guoqing Xia, Fangyu Lei

引用次数: 1

Visual Color Decoding Using Brain-Computer Interfaces 利用脑机接口进行视觉色彩解码

2021 International Conference on Networking Systems of AI (INSAI) Pub Date : 2021-11-01 DOI: 10.1109/INSAI54028.2021.00057

Yijia Wu, Xinhua Zeng, Kaiqiang Feng, Donglai Wei, Lianghua Song

{"title":"Visual Color Decoding Using Brain-Computer Interfaces","authors":"Yijia Wu, Xinhua Zeng, Kaiqiang Feng, Donglai Wei, Lianghua Song","doi":"10.1109/INSAI54028.2021.00057","DOIUrl":"https://doi.org/10.1109/INSAI54028.2021.00057","url":null,"abstract":"With the rapid development of Brain-Computer Interfaces (BCI), human visual decoding, as one of the important research directions of BCI, has aroused great attention. But most visual decoding researches focused on graphics decoding. In this paper, we investigate the possibility to build a new kind of BCI visual decoding based on visual color observation for the first time. We selected 10 subjects without color blindness disease to participate in our tests. They were asked to observe red, green, blue screens in turn with an interval of 1 second. 5 subjects took the test without a task, while another 5 subjects took the test with a task of simply counting one of the appearances of the color. The result shows that the visual color classification for group A without task can reach 83.57% on average, whereas the visual color classification for group B with the task is 78.57% on average. It shows that these subjects may distract themselves while taking the task, however, the classification accuracy is relatively higher than 66.11% for selected channels for both cases with or without taking a task as interference to BCI.","PeriodicalId":232335,"journal":{"name":"2021 International Conference on Networking Systems of AI (INSAI)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133011278","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: 1

TIAS: Two-level Information-Agnostic Job Scheduling in GPU Clusters GPU集群中的两级信息不可知作业调度

2021 International Conference on Networking Systems of AI (INSAI) Pub Date : 2021-11-01 DOI: 10.1109/INSAI54028.2021.00041

Kun Yang, Jieyu Lin, Wei Ni, Lianghua Song

{"title":"TIAS: Two-level Information-Agnostic Job Scheduling in GPU Clusters","authors":"Kun Yang, Jieyu Lin, Wei Ni, Lianghua Song","doi":"10.1109/INSAI54028.2021.00041","DOIUrl":"https://doi.org/10.1109/INSAI54028.2021.00041","url":null,"abstract":"In recent years, deep learning algorithms have shown a trend towards larger models and larger datasets. Centralized training is unable keep up with the training requirements due to limited storage and computing resources, thus distributed learning is becoming an important area of research for improving learning efficiency. There are many studies on using the features of deep learning workload to design a central scheduler for production clusters.While existing work has been focusing on overall completion time and resource efficiency, little attention has been paid to the execution deadlines. To achieve a balance between the goals of deadline and non-deadline jobs, we design a Two-level Information-Agnostic Scheduling strategy(TIAS), which can schedule the two kinds of jobs together without knowing jobs’ training duration. In the first level, we use different priority calculation methods for the two kinds of jobs; in the second level, we design a new indicator \"queue urgency\" based on three observations to sort deadline jobs within the same queue. Experiments on a trace-driven simulator prove that TIAS can achieve the best trade-off between deadline miss rate and non-deadline jobs’ average job completion time(JCT) compared to existing solutions.","PeriodicalId":232335,"journal":{"name":"2021 International Conference on Networking Systems of AI (INSAI)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133435313","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: 1

An Improved Ant Colony Optimization Algorithm for Multi-Agent Path Planning 一种改进的蚁群算法用于多智能体路径规划

2021 International Conference on Networking Systems of AI (INSAI) Pub Date : 2021-11-01 DOI: 10.1109/INSAI54028.2021.00028

Shuai Huang, Dingkang Yang, Chuyi Zhong, Shi Yan, Lihua Zhang

{"title":"An Improved Ant Colony Optimization Algorithm for Multi-Agent Path Planning","authors":"Shuai Huang, Dingkang Yang, Chuyi Zhong, Shi Yan, Lihua Zhang","doi":"10.1109/INSAI54028.2021.00028","DOIUrl":"https://doi.org/10.1109/INSAI54028.2021.00028","url":null,"abstract":"In recent years, Ant Colony Optimization algorithm has become one of the most widely used heuristic algorithms and has been apply to solve different types of path planning problems. However, there still are some problems in Multi-Agent Path Finding, such as low convergence efficiency, easy to fall into local optimum and vertex conflict. In this paper, we proposed an Improved Ant Colony Optimization algorithm based on parameter optimization and vertex conflict resolution. First of all, we initialize the distribution of pheromones to reduce the blindness of the algorithm in the early stage. Secondly, we introduce an adaptive pheromone intensity and pheromone reduction factor to avoid the algorithm falling into local optimum. On this basis, the algorithmÿs global search ability and convergence speed are improved by dynamic modification of the evaporation factor and heuristic function. In addition, the strategy of dynamically modifying the influence factor and heuristic function improves the global search ability and convergence speed of the algorithm. To solve vertex conflict in MAPF, we use the design conflict prediction and resolution strategy to effectively avoid vertex conflict and improve the reliability of the multi-agent system. Simulation experiments verify the effectiveness and adaptability of IACO under different complexity environments, and prove that IACO has good convergence speed and path global optimization ability.","PeriodicalId":232335,"journal":{"name":"2021 International Conference on Networking Systems of AI (INSAI)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114691638","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: 1

Application of Equation of Light Shutting in Selective Protection Device 关光方程在选择保护装置中的应用

2021 International Conference on Networking Systems of AI (INSAI) Pub Date : 2021-11-01 DOI: 10.1109/INSAI54028.2021.00015

Xian Wang

{"title":"Application of Equation of Light Shutting in Selective Protection Device","authors":"Xian Wang","doi":"10.1109/INSAI54028.2021.00015","DOIUrl":"https://doi.org/10.1109/INSAI54028.2021.00015","url":null,"abstract":"At present, power distribution of 10kV and 6kV users generally adopts the wiring mode of connecting incoming and outgoing lines (distribution transformer) through the busbar. When each circuit breaker is equipped with protection, protection operation mode of three-stage series protection is formed, including incoming line protection, bus tie protection and outgoing line (distribution transformer) protection. With the development of the industrial process, users’ load is growing day by day. In particular, some smelting and foundry enterprises adopt two-stage power supply mode of switching station/distribution room. When each circuit breaker is equipped with protection, a six-stage series operation mode is formed. The protection operation mode is more complicated, as there are facts such as short protection circuit, similar fault currents, and no time limit for quick-break protection (all 0 seconds). Conventional protection devices have no selective protection functions and cannot achieve in-situ protection of circuit breakers in 10kV line. Local failures of the outgoing line can easily cause override trip of the incoming circuit breaker or the upper-level circuit breaker, which expands the power outage range, reduces reliability of power supply, and causes outage of some unnecessary equipment, thus affecting normal production of enterprises. In view of the above problems, this paper proposes a power distribution terminal device solution with selective trip protection function to realize intelligent protection, monitoring and management of 10kV substation and distribution network, and achieve multi-stage series protection of 10kV substation and distribution line against override trip and shutting. In the event of a line failure, it is possible to achieve in-situ quick protection, automatic quick isolation of the fault area, and automatic quick power supply transfer in the non-fault area, thereby greatly shortening power outage time, reducing power outage range, and increasing power supply reliability.","PeriodicalId":232335,"journal":{"name":"2021 International Conference on Networking Systems of AI (INSAI)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129168677","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

2D LIDAR SLAM Based On Gauss-Newton 基于高斯-牛顿的二维激光雷达SLAM

2021 International Conference on Networking Systems of AI (INSAI) Pub Date : 2021-11-01 DOI: 10.1109/INSAI54028.2021.00027

Ming Wu, Chao Cheng, Huiliang Shang

引用次数: 1

A Survey of Multi View Stereo 多视点立体技术综述

2021 International Conference on Networking Systems of AI (INSAI) Pub Date : 2021-11-01 DOI: 10.1109/INSAI54028.2021.00033

Fengxiang Rong, Dongfang Xie, Wei Zhu, Huiliang Shang, Liang Song

引用次数: 1