2020 IEEE 8th International Conference on Computer Science and Network Technology (ICCSNT)最新文献_第2页

Improved BP Arithmetic in Moisture Content Measurement with Microwave Resonant 微波共振测湿中的改进BP算法

2020 IEEE 8th International Conference on Computer Science and Network Technology (ICCSNT) Pub Date : 2020-11-20 DOI: 10.1109/ICCSNT50940.2020.9304987

Z. Liu

引用次数: 0

Fog Computing enabled Smart Grid Blockchain Architecture and Performance Optimization with DRL Approach 雾计算支持智能电网区块链架构和DRL方法的性能优化

2020 IEEE 8th International Conference on Computer Science and Network Technology (ICCSNT) Pub Date : 2020-11-20 DOI: 10.1109/ICCSNT50940.2020.9305000

Weijun Zheng, Wenhua Wang, Guoqing Wu, Chenzi Xue, Yifei Wei

{"title":"Fog Computing enabled Smart Grid Blockchain Architecture and Performance Optimization with DRL Approach","authors":"Weijun Zheng, Wenhua Wang, Guoqing Wu, Chenzi Xue, Yifei Wei","doi":"10.1109/ICCSNT50940.2020.9305000","DOIUrl":"https://doi.org/10.1109/ICCSNT50940.2020.9305000","url":null,"abstract":"Smart grid is willing to make full advantage of distributed clean energy to alleviate energy crisis and environmental problems. However, distributed renewable energy is usually invisible and uncontrollable for the current power system, and there are intermittent problems in its generation. Therefore, how to achieve the power balance, maintain safe operation, and ensure the reliability and quality of power supply when the distributed energy reaches a high penetration in the grid is a huge challenge. Blockchain as one of the research hotspots brings about new solution approach to the dilemma. The two fields have many commons on decentralization, autonomy, marketization and intelligence. In this paper, we discuss the feasible scheme of the integrated system and add fog computing to reduce costs. Considering the realization of system, we choose Hyper Fabric as the basic structure and add verifiable random function to the consensus aimed to improve randomness and security in the encrypted election. Meanwhile, in order to satisfy the business requirements, a flexible adjustment method based on Deep Q Learning algorithm is designed to realize the joint optimization of throughput, latency and storage cost. The proposed scheme provides the advantages including privacy, flexibility, extensibility and implantation simplicity.","PeriodicalId":6794,"journal":{"name":"2020 IEEE 8th International Conference on Computer Science and Network Technology (ICCSNT)","volume":"1 1","pages":"41-45"},"PeriodicalIF":0.0,"publicationDate":"2020-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84930989","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

Novel Attribute Reduction on Decision Rules* 决策规则的新型属性约简*

2020 IEEE 8th International Conference on Computer Science and Network Technology (ICCSNT) Pub Date : 2020-11-20 DOI: 10.1109/ICCSNT50940.2020.9305012

Can Wang, Qiang Lin, Chunming Xu, Lin Li, Xiaoyong Fan

引用次数: 0

GNSS Spoofing Detection With Using Linear Array 基于线性阵列的GNSS欺骗检测

2020 IEEE 8th International Conference on Computer Science and Network Technology (ICCSNT) Pub Date : 2020-11-20 DOI: 10.1109/ICCSNT50940.2020.9304978

Ling Xiao, Xiang Li, Zhenyu Liao

{"title":"GNSS Spoofing Detection With Using Linear Array","authors":"Ling Xiao, Xiang Li, Zhenyu Liao","doi":"10.1109/ICCSNT50940.2020.9304978","DOIUrl":"https://doi.org/10.1109/ICCSNT50940.2020.9304978","url":null,"abstract":"As the the spoofing interference can result in serious consequences, the GNSS spoofing detection problem is a hot research topic now. To detect the spoofing signals, which coming from different emitting sources, an anti-spoofing method was proposed with using linear array. The method recognizes spoofing signal by comparing the carrier-phase single difference (CPSD) measurements, which is calculated between different array elements, with the expect CPSD estimations. As the attitude of the linear array is assumed to be unknown, it has to be estimated in the process of estimating expect CPSD. The spoofing decision variable was deduced based on the differences between CPSD measurements and expectations. And the statistical characterization of the variable was analyzed as well. In the last, the spoofing detection performance was evaluated by Monte-Carlo simulations. The simulation results illustrated that no matter how many emitting sources, as long as there is one spoofing signal that the angle between its incident direction and corresponding authentic one is larger than 5 degrees, it will be detected effectively by the proposed method with a 3 elements array.","PeriodicalId":6794,"journal":{"name":"2020 IEEE 8th International Conference on Computer Science and Network Technology (ICCSNT)","volume":"1 1","pages":"181-185"},"PeriodicalIF":0.0,"publicationDate":"2020-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78060425","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: 3

An Improved Ant Colony Algorithm is Proposed to Solve the Single Objective Flexible Job-shop Scheduling Problem 针对单目标柔性作业车间调度问题，提出了一种改进的蚁群算法

2020 IEEE 8th International Conference on Computer Science and Network Technology (ICCSNT) Pub Date : 2020-11-20 DOI: 10.1109/ICCSNT50940.2020.9305005

Ming Huang, Dongsheng Guo, Xu Liang, Xiuyan Liang

引用次数: 0

Design of Automatic Layered Water Injection System Based on Internet of Things 基于物联网的自动分层注水系统设计

2020 IEEE 8th International Conference on Computer Science and Network Technology (ICCSNT) Pub Date : 2020-11-20 DOI: 10.1109/ICCSNT50940.2020.9304995

Guanghua Tong, Wang Jing, Gao Shan, Sun Yang, Wang Jinxiu, Zuo Jing

{"title":"Design of Automatic Layered Water Injection System Based on Internet of Things","authors":"Guanghua Tong, Wang Jing, Gao Shan, Sun Yang, Wang Jinxiu, Zuo Jing","doi":"10.1109/ICCSNT50940.2020.9304995","DOIUrl":"https://doi.org/10.1109/ICCSNT50940.2020.9304995","url":null,"abstract":"Layered water injection is a simple and effective way of secondary exploitation in oil fields. It can maintain the pressure of the oil layer and improve the effect of oilfield development, considered the basis for achieving stable and high production of crude oil. The traditional layered water injection method is inefficient and cannot meet the needs of mining. Therefore, this paper analyzes the current development of layered water injection technology and designs an automatic layered water injection system based on the Internet of Things. It is divided into perception recognition layer, network construction layer, and comprehensive application layer. Considering that the daily injection volume of water injection wells does not meet the standard caused by the actual water injection process, an automatic injection strategy of layered water injection is designed based on the K-means algorithm. Experiments demonstrate that the actual flow value of each layer after the automatic injection adjustment is completed is within the allowable error range of 10%, which meets the requirements of the qualified rate of layered water injection.","PeriodicalId":6794,"journal":{"name":"2020 IEEE 8th International Conference on Computer Science and Network Technology (ICCSNT)","volume":"6 1","pages":"194-197"},"PeriodicalIF":0.0,"publicationDate":"2020-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86697753","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

Lithium-ion Battery SOC Estimation Based on Weighted Adaptive Recursive Extended Kalman Filter Joint Algorithm 基于加权自适应递归扩展卡尔曼滤波联合算法的锂离子电池荷电状态估计

2020 IEEE 8th International Conference on Computer Science and Network Technology (ICCSNT) Pub Date : 2020-11-20 DOI: 10.1109/ICCSNT50940.2020.9304993

Jianfeng Wang, Zhaozhen Zhang

{"title":"Lithium-ion Battery SOC Estimation Based on Weighted Adaptive Recursive Extended Kalman Filter Joint Algorithm","authors":"Jianfeng Wang, Zhaozhen Zhang","doi":"10.1109/ICCSNT50940.2020.9304993","DOIUrl":"https://doi.org/10.1109/ICCSNT50940.2020.9304993","url":null,"abstract":"Accurate estimation of the lithium-ion battery SOC is critical to the battery management system (BMS). In order to accurately estimate the lithium-ion battery SOC, a second-order equivalent model of the lithium-ion battery is firstly established in this paper, and the lithium-ion battery's nonlinear relationship of SOC-OCV is obtained through the experiment. Then the online parameter identification method based on the least square method is used to estimate the parameters of the lithium-ion battery's online model, and the accurate estimation of lithium-ion battery SOC is achieved by combining weighted adaptive recursive least square method with extended Kalman filter. This paper compares estimation accuracy of the battery SOC based on the extended Kalman filter algorithm (EKF), the recursive least square method based on the forgetting factor (FRLS), and the weighted adaptive recursive extended Kalman filter joint algorithm (WAREKF) in the experiment. The experiment result shows that the estimation accuracy of the battery SOC based on WAREKF which is proposed in this paper is higher than that of EKF and FRLS, and its root mean square error (RMSE) is less than 1%.","PeriodicalId":6794,"journal":{"name":"2020 IEEE 8th International Conference on Computer Science and Network Technology (ICCSNT)","volume":"1 1","pages":"11-15"},"PeriodicalIF":0.0,"publicationDate":"2020-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90110297","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: 3

Research and Experimentation on Energy Management System for Inland Diesel-Electric Hybrid Power Ships 内河柴电混合动力船舶能量管理系统研究与试验

2020 IEEE 8th International Conference on Computer Science and Network Technology (ICCSNT) Pub Date : 2020-11-20 DOI: 10.1109/ICCSNT50940.2020.9305003

Rui Yang, Lei Jiang, Ke Du, Yan Zhang, Lipeng Wang, Kun Li

{"title":"Research and Experimentation on Energy Management System for Inland Diesel-Electric Hybrid Power Ships","authors":"Rui Yang, Lei Jiang, Ke Du, Yan Zhang, Lipeng Wang, Kun Li","doi":"10.1109/ICCSNT50940.2020.9305003","DOIUrl":"https://doi.org/10.1109/ICCSNT50940.2020.9305003","url":null,"abstract":"In order to reduce ship emissions and improve energy efficiency, fuel cell is integrated with diesel generator as hybrid power source for ship power system, in which the basic load is provided by diesel engine and fuel cell to ptovide the rest part when the power load demand turn greater than the basic. In this study, a hybrid power system consists of diesel and alternative energy that provide main power and auxiliary power in sequence has been developed with an optimal energy management strategy proposed to minimize fuel consumption. The MATLAB + SIMULINK simulation environment was adopted to conduct the hybrid power system model to investigate the effectiveness of optimal energy management strategy by comparing ship typical drive cycle with traditional energy management strategy. The results reveal that the proposed optimization method can improve fuel economy with the battery charging profile maintained in reasonable range, and proves that by usingthe intelligent energy mangement method, the running efficiency of diesel engine can be improved, hence satisfying ship power demand and accelerating the stability of the system.","PeriodicalId":6794,"journal":{"name":"2020 IEEE 8th International Conference on Computer Science and Network Technology (ICCSNT)","volume":"60 1","pages":"102-106"},"PeriodicalIF":0.0,"publicationDate":"2020-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79331380","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

Research on Multi-objective Fuzzy Flexible Job-Shop Scheduling Based on Cloud Computinger 基于云计算的多目标模糊柔性作业车间调度研究

2020 IEEE 8th International Conference on Computer Science and Network Technology (ICCSNT) Pub Date : 2020-11-20 DOI: 10.1109/ICCSNT50940.2020.9305019

Jiao Xuan, L. Chengyang, Xiuyan Jiang

引用次数: 2

Research on Wavelet Denoising Method Based on Soft Threshold in Wire Rope Damage Detection 基于软阈值的小波去噪方法在钢丝绳损伤检测中的研究

2020 IEEE 8th International Conference on Computer Science and Network Technology (ICCSNT) Pub Date : 2020-11-20 DOI: 10.1109/ICCSNT50940.2020.9304994

Yi Yao, Guoping Li, Xiangfang Zhang, Xinyi Teng, Mengsheng Huang

引用次数: 2