2020 International Symposium on Computer, Consumer and Control (IS3C)最新文献_第10页

Applying smart cloud in the hospital card swiping and scheduling system 智能云在医院刷卡调度系统中的应用

2020 International Symposium on Computer, Consumer and Control (IS3C) Pub Date : 2020-11-01 DOI: 10.1109/IS3C50286.2020.00073

C. Lin, Te-Kwei Wang, Yu-Hsun Lin, Jin Rong Wu, Chia Ho Chao

引用次数: 0

Power Quality Disturbances Classification Based on Wavelet Compression and Deep Convolutional Neural Network 基于小波压缩和深度卷积神经网络的电能质量扰动分类

2020 International Symposium on Computer, Consumer and Control (IS3C) Pub Date : 2020-11-01 DOI: 10.1109/IS3C50286.2020.00091

S. S. Berutu, Y. Chen

{"title":"Power Quality Disturbances Classification Based on Wavelet Compression and Deep Convolutional Neural Network","authors":"S. S. Berutu, Y. Chen","doi":"10.1109/IS3C50286.2020.00091","DOIUrl":"https://doi.org/10.1109/IS3C50286.2020.00091","url":null,"abstract":"The power quality disturbances (PQDs) has become an issue of essential importance in the world. The foundation to address the power quality problem is by implementing the PQDs identification and classification technique. This paper presented the I-dimensional deep convolutional neural network (DCNN) to identify and classify the power quality interferences. The dataset is generated based on the mathematical model of 14 types PQDs which refers to the IEEE-1159 standard. To enhance training time computation, the wavelet compression (WT) method is proposed in the data preprocessing stage. The deep learning architecture is composed of four 1-D convolutional layers, two pooling layers, a dropout layer, a fully connected layer, and a softmax layer. To introduce non-linearity in CNN, this architecture adopts the rectified linear unit (ReLU) function. To demonstrate the DCNN performance, the comparison between the model with the original dataset and the compression dataset is simulated. The experiment result indicates that this approach can successfully predict the PQDs data with more than 99,5 % classification performance, while the computation time improves on the training phase.","PeriodicalId":143430,"journal":{"name":"2020 International Symposium on Computer, Consumer and Control (IS3C)","volume":"214 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116427848","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

A Biological Automation Incubator System Based on A Single Chip 基于单片机的生物自动化培养系统

2020 International Symposium on Computer, Consumer and Control (IS3C) Pub Date : 2020-11-01 DOI: 10.1109/IS3C50286.2020.00121

Yi-Yu Lu, H. Yen, Kuang-Kuo Lin

引用次数: 0

Development of a Cloud Tourism Supported Platform with Friendly Interfaces based on Linked Open Data and Big Data Analysis Techniques 基于互联开放数据和大数据分析技术的友好界面云旅游支撑平台开发

2020 International Symposium on Computer, Consumer and Control (IS3C) Pub Date : 2020-11-01 DOI: 10.1109/IS3C50286.2020.00102

Sheng-Yuan Yang, Kune-Yao Chen

引用次数: 0

The Performance Evaluation to a Smart Robots Embedded with Machine Learning Schemes 嵌入机器学习方案的智能机器人性能评估

2020 International Symposium on Computer, Consumer and Control (IS3C) Pub Date : 2020-11-01 DOI: 10.1109/IS3C50286.2020.00111

J. Chen, P. Hengjinda, Shu Rui Hsu

{"title":"The Performance Evaluation to a Smart Robots Embedded with Machine Learning Schemes","authors":"J. Chen, P. Hengjinda, Shu Rui Hsu","doi":"10.1109/IS3C50286.2020.00111","DOIUrl":"https://doi.org/10.1109/IS3C50286.2020.00111","url":null,"abstract":"In the article, an algorithm with GMM-UBM (Gaussian mixture model - universal background model) machine learning framework adopted as the cognitive center implemented in a Smart Robot is demonstrated. Moreover, the developed robot is except designed with some embedded smart sensors, the robot is embedded with machine learning technology for applying to the agriculture research field. Specifically, the presented robot could help to analyze the environmental conditions for different plants, e.g. the estimation to weather and humidity, and protection plant from disease destroy. The GMM-UBM algorithm deployed in the smart robot is mainly to control the assignments' behavior precisely. There three of the smart robot are combining with AI (Artificial intelligence) techniques consists of the following equipments: 1) a control movement subsystem, 2) a sensor control subsystem, and 3) an analysis subsystem. The results from the simulation determined the condition of the message options with tag sensing techniques. Moreover, the results have validated that the illustrated system can obtain significantly processing efficiency. Furthermore, the analytic data comes from the analysis subsystem is able to predate the path for the robot move corresponding to the specified conditions.","PeriodicalId":143430,"journal":{"name":"2020 International Symposium on Computer, Consumer and Control (IS3C)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125327227","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

Applying Internet of Things (IoT) Technology to Automatic Fire-extinguishing System in Machine Rooms 物联网技术在机房自动灭火系统中的应用

2020 International Symposium on Computer, Consumer and Control (IS3C) Pub Date : 2020-11-01 DOI: 10.1109/IS3C50286.2020.00011

Meng-Hui Wang, Shiue‐Der Lu, Po-Yi Ho, Shao-En Wei, Cheng-Che Hsieh

引用次数: 0

Particulate Matter 2.5 Machine Learning Estimation System Based on Internet of Things Architecture 基于物联网架构的颗粒物2.5机器学习估计系统

2020 International Symposium on Computer, Consumer and Control (IS3C) Pub Date : 2020-11-01 DOI: 10.1109/IS3C50286.2020.00099

Shun-Yuan Wang, Wen-Bin Lin, Yu-Chieh Shu

引用次数: 1

The Design and Implementation of an Integrated Building Environment for Android Systems Android系统集成建筑环境的设计与实现

2020 International Symposium on Computer, Consumer and Control (IS3C) Pub Date : 2020-11-01 DOI: 10.1109/IS3C50286.2020.00030

Yi-Kuan Wu, Jing Chen

{"title":"The Design and Implementation of an Integrated Building Environment for Android Systems","authors":"Yi-Kuan Wu, Jing Chen","doi":"10.1109/IS3C50286.2020.00030","DOIUrl":"https://doi.org/10.1109/IS3C50286.2020.00030","url":null,"abstract":"In recent years many embedded system products are shipped with Android system installed as their operating systems. Building an installable system image file of Android, however, is not trivial and there is no graphical user interface (GUI) for the official Android build system. Although quite a lot of guiding information and helpful resources are available in addition to the official documentation provided by Google, it is not uncommon that the building process failed due to some subtle mistakes and the developer felt frustrated. When system customization is desired, such as tailoring the source code or removing some unnecessary modules from the source code, the burden is even greater because the building rules of Android system lack enough flexibility and Android system has become bigger and more complicated during the past years. It is not only very challenging but also very difficult, if not impossible, to implement the desired tailoring without help from certain analysis tools. This paper presents the development of a GUI based integrated building environment for Android. The main goal is to help smoothly and easily build a custom system image of Android via providing GUIs and integrating the functions needed and desirable in carrying out the building process. The contributions of this work mainly include: (1) an approach to analyzing the module dependency of Android source code that helps remove unnecessary modules or features in customizing Android system image; (2) the GUIs that help users easily and quickly build an Android system image; and (3) an integrated building environment that helps achieve building automation of Android. This integrated building environment therefore is useful and helpful in building Android system images.","PeriodicalId":143430,"journal":{"name":"2020 International Symposium on Computer, Consumer and Control (IS3C)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122138569","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

A Temperature Data Denoising Method Using Laplacian Matrix and Neumann Series 基于拉普拉斯矩阵和诺伊曼级数的温度数据去噪方法

2020 International Symposium on Computer, Consumer and Control (IS3C) Pub Date : 2020-11-01 DOI: 10.1109/IS3C50286.2020.00060

C. Tseng, Su-Ling Lee

引用次数: 2

Message from the IS3C2020 General Chair 来自IS3C2020总主席的消息

2020 International Symposium on Computer, Consumer and Control (IS3C) Pub Date : 2020-11-01 DOI: 10.1109/is3c50286.2020.00005

引用次数: 0