2021 3rd International Conference on Advances in Computer Technology, Information Science and Communication (CTISC)最新文献_第7页

Developing Energy Monitoring Application For Monitoring Power Consumption In Production Machines 开发能源监测应用，监测生产机械的功耗

2021 3rd International Conference on Advances in Computer Technology, Information Science and Communication (CTISC) Pub Date : 2021-04-01 DOI: 10.1109/CTISC52352.2021.00015

Masmur Tarigan, A. pambudi, H. Sutopo, H. Hendra, Dini Handayani

{"title":"Developing Energy Monitoring Application For Monitoring Power Consumption In Production Machines","authors":"Masmur Tarigan, A. pambudi, H. Sutopo, H. Hendra, Dini Handayani","doi":"10.1109/CTISC52352.2021.00015","DOIUrl":"https://doi.org/10.1109/CTISC52352.2021.00015","url":null,"abstract":"The manufacturing sector in Indonesia is included in the category of countries with large-scale industries. Every day, of course, activities in the industrial sector need a production process and require electric power as a support for ongoing productivity. The power consumption used in the production process needs monitoring and control as needed. Monitoring the power consumption of machines in the PT. Modern Gravure Indonesia has not been well monitored. To make efforts in calculating the amount of electrical power used, a system that can monitor the amount of power consumption on production machines in real-time is needed for carrying out better electricity management. Then an Internet of Things-based system is made which is integrated into the Android-based Energy Monitoring application for monitoring power consumption and cost calculations, this monitoring system for monitoring power consumption uses the STC013 Current sensor as a flow detector and uses the Arduino Pro Mini as a microcontroller in developing a power consumption monitoring system. This research uses System Development Life Cycle that consists of planning, analysis, design, implementation, testing and integration, and maintenance. stakeholders. This Energy Monitoring application is expected to help get real-time power consumption data.","PeriodicalId":268378,"journal":{"name":"2021 3rd International Conference on Advances in Computer Technology, Information Science and Communication (CTISC)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125173479","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

The construction of wireless channel model visualization platform based on Cesium 基于铯的无线信道模型可视化平台的构建

2021 3rd International Conference on Advances in Computer Technology, Information Science and Communication (CTISC) Pub Date : 2021-04-01 DOI: 10.1109/CTISC52352.2021.00048

Junming Li, Tianfeng Yan

引用次数: 0

Robust feature point detection for freehand strokes with deep learning approach 基于深度学习方法的写意笔画鲁棒特征点检测

2021 3rd International Conference on Advances in Computer Technology, Information Science and Communication (CTISC) Pub Date : 2021-04-01 DOI: 10.1109/CTISC52352.2021.00078

Long Zeng, X. Zhang, Zhi-Kai Dong, Hong-yu Wang, Jia-yi Yu

{"title":"Robust feature point detection for freehand strokes with deep learning approach","authors":"Long Zeng, X. Zhang, Zhi-Kai Dong, Hong-yu Wang, Jia-yi Yu","doi":"10.1109/CTISC52352.2021.00078","DOIUrl":"https://doi.org/10.1109/CTISC52352.2021.00078","url":null,"abstract":"A robust feature point detection (FPD) tool is critical for sketch-based engineering modelling. We propose an FPD algorithm for freehand strokes based on a deep learning approach, denoted as FPD-DL. First, a point-wise neural network is trained to learn local and global features from points' multi-scale context images to classify each point of a stroke into a line-point or a curve-point. Then, a segment merging procedure is designed to extract primitives from the identified segments. It explores the distribution patterns of neighbouring segments. Finally, the tangent points and lost corners are added among consecutive primitives. The algorithm robustness and accuracy are experimented on a dataset with 1500 strokes of 20 shapes, which are grouped into two categories: set-by-person and set-by-shape. In the set-by-person category, the AON (all-or-nothing) accuracy of FPD-DL is 97%, compared to 94.3% of the state-of-the-art algorithm. In the set-by-shape category, the robustness to stroke shape is tested, which is similar to the practical usage scenario. The AON accuracy of FPD-DL is 95%, without too much fluctuation. Thus, the new proposed approach is robust to both stroke shape and stroke style.","PeriodicalId":268378,"journal":{"name":"2021 3rd International Conference on Advances in Computer Technology, Information Science and Communication (CTISC)","volume":"253 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115007841","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 SSD Algorithm Based on Multi-scale Feature Fusion and Residual Attention Mechanism 基于多尺度特征融合和剩余注意机制的改进SSD算法

2021 3rd International Conference on Advances in Computer Technology, Information Science and Communication (CTISC) Pub Date : 2021-04-01 DOI: 10.1109/CTISC52352.2021.00024

Yongquan Zhao

引用次数: 0

A Novel Incentive Mechanism Based on Repeated Game in Fog Computing 一种基于重复博弈的雾计算激励机制

2021 3rd International Conference on Advances in Computer Technology, Information Science and Communication (CTISC) Pub Date : 2021-04-01 DOI: 10.1109/CTISC52352.2021.00029

Jun Li, Wei Zhang, Xuehong Chen, Shuaifeng Yang, Xueying Zhang, Hao Zhou, Yunpeng Li

{"title":"A Novel Incentive Mechanism Based on Repeated Game in Fog Computing","authors":"Jun Li, Wei Zhang, Xuehong Chen, Shuaifeng Yang, Xueying Zhang, Hao Zhou, Yunpeng Li","doi":"10.1109/CTISC52352.2021.00029","DOIUrl":"https://doi.org/10.1109/CTISC52352.2021.00029","url":null,"abstract":"Fog computing is a new computing paradigm that utilizes numerous mutually cooperating terminal devices or network edge devices to provide computing, storage, and communication services. Fog computing extends cloud computing services to the edge of the network, making up for the deficiencies of cloud computing in terms of location awareness, mobility support and latency. However, fog nodes are not active enough to perform tasks, and fog nodes recruited by cloud service providers cannot provide stable and continuous resources, which limits the development of fog computing. In the process of cloud service providers using the resources in the fog nodes to provide services to users, the cloud service providers and fog nodes are selfish and committed to maximizing their own payoffs. This situation makes it easy for the fog node to work negatively during the execution of the task. Limited by the low quality of resource provided by fog nodes, the payoff of cloud service providers has been severely affected. In response to this problem, an appropriate incentive mechanism needs to be established in the fog computing environment to solve the core problems faced by both cloud service providers and fog nodes in maximizing their respective utility, in order to achieve the incentive effect. Therefore, this paper proposes an incentive model based on repeated game, and designs a trigger strategy with credible threats, and obtains the conditions for incentive consistency. Under this condition, the fog node will be forced by the deterrence of the trigger strategy to voluntarily choose the strategy of actively executing the task, so as to avoid the loss of subsequent rewards when it is found to perform the task passively. Then, using evolutionary game theory to analyze the stability of the trigger strategy, it proves the dynamic validity of the incentive consistency condition.","PeriodicalId":268378,"journal":{"name":"2021 3rd International Conference on Advances in Computer Technology, Information Science and Communication (CTISC)","volume":"103 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134497380","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

Resnet-based quality evaluation of image mosaic and training data balance 基于resnet的图像拼接质量评价与训练数据平衡

2021 3rd International Conference on Advances in Computer Technology, Information Science and Communication (CTISC) Pub Date : 2021-04-01 DOI: 10.1109/CTISC52352.2021.00067

Xianglei Meng, Liang Han, C. Zuo, Pin Tao

引用次数: 0

Pre-Training Convolution Network for Crowd Counting 人群计数的预训练卷积网络

2021 3rd International Conference on Advances in Computer Technology, Information Science and Communication (CTISC) Pub Date : 2021-04-01 DOI: 10.1109/CTISC52352.2021.00062

Shining, Shaojiayu

引用次数: 0

Multi-factor Load Balancing Algorithm for 5G Power Network Data Center 5G电网数据中心多因素负载均衡算法

2021 3rd International Conference on Advances in Computer Technology, Information Science and Communication (CTISC) Pub Date : 2021-04-01 DOI: 10.1109/CTISC52352.2021.00042

Sun Yanzhi, L. Yuming, Wen Quan, Fu Cheng, Jiang Liqiong

引用次数: 0

System Throughput Performances Analyses with Stochastic Geometry in Unlicensed Spectrum Systems 基于随机几何的无许可频谱系统吞吐量性能分析

2021 3rd International Conference on Advances in Computer Technology, Information Science and Communication (CTISC) Pub Date : 2021-04-01 DOI: 10.1109/CTISC52352.2021.00016

Zhiyuan Liu, Xiaodong Xu

引用次数: 0

Four Search Method Obtaining the Conjugating Direction Along the Negative Gradient Directions 沿负梯度方向求共轭方向的四种搜索方法

2021 3rd International Conference on Advances in Computer Technology, Information Science and Communication (CTISC) Pub Date : 2021-04-01 DOI: 10.1109/CTISC52352.2021.00033

D. Hu, Xiaoli Yin, Chunming Li

引用次数: 0