2020 International Symposium on Computer, Consumer and Control (IS3C)最新文献_第2页

Short-Term Solar Power Forecasts Considering Various Weather Variables 考虑到各种天气变量的短期太阳能预测

2020 International Symposium on Computer, Consumer and Control (IS3C) Pub Date : 2020-11-01 DOI: 10.1109/IS3C50286.2020.00117

You-Jing Zhong, Yuan-Kang Wu

引用次数: 6

A Review of Methods for Estimating the Power Generation of Invisible Solar Sites 估算不可见太阳站点发电量的方法综述

2020 International Symposium on Computer, Consumer and Control (IS3C) Pub Date : 2020-11-01 DOI: 10.1109/IS3C50286.2020.00115

Yi-Hui Lai, Yuan-Kang Wu

{"title":"A Review of Methods for Estimating the Power Generation of Invisible Solar Sites","authors":"Yi-Hui Lai, Yuan-Kang Wu","doi":"10.1109/IS3C50286.2020.00115","DOIUrl":"https://doi.org/10.1109/IS3C50286.2020.00115","url":null,"abstract":"With the growth of PV power generation in power systems, the information about the total PV generation is critical. If there is no accurate PV generation data, it will be a difficult task to ensure the stability of the power system. Invisible solar power generation is the PV generation that is unknown to the power system operator, it could affect the stability of power system operations. Hence, it is important to estimate the PV generation of invisible solar sites. With available data of visible PV sites, different approaches have been developed to estimate the invisible solar generation. For instance, several approaches use the advanced metering infrastructure (AMI) data with statistical methods to estimate invisible PV generation. Several approaches estimate the invisible PV generation by considering the local solar irradiation or using the selected representative sites with artificial intelligent technologies. Other approaches also include data-dimension reduction engines with a mapping function. This paper presents a literature review on the common approaches of estimating the power generation of invisible photovoltaic sites and compares the state-of-the-art estimation methods.","PeriodicalId":143430,"journal":{"name":"2020 International Symposium on Computer, Consumer and Control (IS3C)","volume":"1 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":"129663831","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

Using deep learning improve the aerial engine nondestructive radiographic tests 利用深度学习技术改进航空发动机无损射线检测

2020 International Symposium on Computer, Consumer and Control (IS3C) Pub Date : 2020-11-01 DOI: 10.1109/IS3C50286.2020.00088

Zhi-Hao Chen, J. Juang

{"title":"Using deep learning improve the aerial engine nondestructive radiographic tests","authors":"Zhi-Hao Chen, J. Juang","doi":"10.1109/IS3C50286.2020.00088","DOIUrl":"https://doi.org/10.1109/IS3C50286.2020.00088","url":null,"abstract":"This paper aim use of deep convolutional neural networks (CNNs) with generative adversarial networks for aircraft engine X-ray cracks image classification and detection posed. On the basis of the CNNs approach requires large amounts of X-ray defect imagery data. Those data facilitate a cracks image segmentation and tracking on multiple defect of aircraft engine defection by edge detection feature extraction and classification process. The use of the deep CNNs approach deep learning model seeks to augment and improve existing automated nondestructive testing (NDT) diagnosis. Within the context of X-ray screening, limited numbers insufficient types of X-ray aircraft engine defect data samples can thus pose another problem in support vector machine (SVM) model accuracy. To overcome this issue, we employ a deep learning paradigm of generative adversarial network such that a pre-trained deep CNNs. We are primarily trained for aircraft engine defect X-ray image classification eight types where sufficient training data exists. This result are empirically show that deep learning net complex with the pre-tuned model features also more yield superior performance to human crafted features on object identification tasks. Overall the achieve result get more then 90% accuracy based on the DetectNet features model retrained with 8 types of composite material defect classifiers.","PeriodicalId":143430,"journal":{"name":"2020 International Symposium on Computer, Consumer and Control (IS3C)","volume":"6 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":"129095674","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

Multi-lead Data Extraction Method of ECG Waveform Based on Mobile Device Application 基于移动设备应用的心电波形多导联数据提取方法

2020 International Symposium on Computer, Consumer and Control (IS3C) Pub Date : 2020-11-01 DOI: 10.1109/IS3C50286.2020.00150

Jun-Ying Chen, Liang-Hung Wang

{"title":"Multi-lead Data Extraction Method of ECG Waveform Based on Mobile Device Application","authors":"Jun-Ying Chen, Liang-Hung Wang","doi":"10.1109/IS3C50286.2020.00150","DOIUrl":"https://doi.org/10.1109/IS3C50286.2020.00150","url":null,"abstract":"Based on its portability and immediacy, mobile device have evolved and led to many innovations in medical domains. For electrocardiograms, the quickest and most intuitive way to store them is to take digital pictures. However, there are distortion and noise interference in real scene photographs inevitably. In this paper, a method is proposed to transform the preliminary digital image achieved by camera into the binarized multi-lead ECG curve individually. The vertex searching algorithm is designed to determine the location of the target paper against an intricate background. The vertex coordinates automatically detected are used in reverse perspective transformation to correct geometric distortion. A robust improved OTSU algorithm is developed to separate foreground curve from background noise and grid. In order to divide the lead curve region, the template matching technology is introduced to the recognition and the region segmentation of each lead information. Finally, a complement operation on the broken curve is performed and the pure and integrated ECG curve which suffices 1-D digitalization is obtained. The entire algorithm can standardize ECG from different sources and solve the problem of region sharing caused by data encryption.","PeriodicalId":143430,"journal":{"name":"2020 International Symposium on Computer, Consumer and Control (IS3C)","volume":"55 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":"132269663","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

Beyond the performance of 3D-Torus: Equality topology with low radix 超越3D-Torus的性能:低基数的相等拓扑

2020 International Symposium on Computer, Consumer and Control (IS3C) Pub Date : 2020-11-01 DOI: 10.1109/IS3C50286.2020.00089

Hong-lin Wu, Chun-Ho Cheng, Chi-Hsiu Liang, Chao-Chin Li, Chun-Ming Chen, Po-Lin Huang, Sang-Lin Huang, Chi-Chuan Hwang

{"title":"Beyond the performance of 3D-Torus: Equality topology with low radix","authors":"Hong-lin Wu, Chun-Ho Cheng, Chi-Hsiu Liang, Chao-Chin Li, Chun-Ming Chen, Po-Lin Huang, Sang-Lin Huang, Chi-Chuan Hwang","doi":"10.1109/IS3C50286.2020.00089","DOIUrl":"https://doi.org/10.1109/IS3C50286.2020.00089","url":null,"abstract":"With the rapid development of electronic products, the high-speed computing and the personal 3C terminal all make greater demands the on-chip performance. Due to the limited bandwidth, the low communication efficiency and the bad scalability, the Network on Chip (NoC) has been able to satisfy the requirements of the applications above. In this work, we present an innovative design concept for on-chip low-radix networks with a novel Equality topology against with the 3D-Torus (3DT). Besides of its application in chip design, Equality is a high-performance interconnect topology that is proposed for general purpose applications including supercomputing, data center, cloud service, and industrial cluster solutions. At present work, we have evaluated the performance of the target Equality networks with 3DT networks which are also low-radix (k = 6) designs via simulations carried out by BookSim 2.0 package. Our extensive evaluations show that Equality outperforms traditional low-radix topologies of 3DT in zero-load latency and maximum throughput under all ten traffic patterns studied in present work. In the systems of 4096 node, efficiency of Equality is of orders higher than that of 3DT. Our significant results also appear the network efficiencies of Equality topology seen to be better than 6D-torus/mesh for Fujitsu topology while its network is in global communication status.","PeriodicalId":143430,"journal":{"name":"2020 International Symposium on Computer, Consumer and Control (IS3C)","volume":"70 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":"125420013","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

Overview of Frequency Control Technologies for Wind Power Systems 风力发电系统频率控制技术综述

2020 International Symposium on Computer, Consumer and Control (IS3C) Pub Date : 2020-11-01 DOI: 10.1109/IS3C50286.2020.00077

Chung-Han Lin, Yuan-Kang Wu

{"title":"Overview of Frequency Control Technologies for Wind Power Systems","authors":"Chung-Han Lin, Yuan-Kang Wu","doi":"10.1109/IS3C50286.2020.00077","DOIUrl":"https://doi.org/10.1109/IS3C50286.2020.00077","url":null,"abstract":"In modern power systems, many conventional synchronous machines have been replaced by renewable energy resources, reducing the overall system inertia. The intermittent characteristics of wind power generation lead to the reduction of the frequency stability, which becomes a crucial issue. Additionally, the capacity of offshore wind farms is large; consequently, it requires that renewable energy sources like offshore wind farms support frequency regulation. In reality, wind turbines can provide frequency support by emulating the inertial control and droop characteristic of a conventional synchronous generator. The main purpose of this paper is to review and compare different control strategies of frequency regulation for offshore wind farms. Especially, the comparison between pitch angle control and over-speeding control based on the de-loading operating mode to provide power reserve is investigated in detail. In addition to wind farm itself, the transmission system can also coordinate wind farms to support frequency regulation. Thus, this paper also reviews various frequency control strategies for the VSC-HVDC connected offshore wind farm. By adjusting the DC-bus voltage of HVDC, the DC-link capacitor can absorb or release energy to provide frequency support. Furthermore, other auxiliary methods by energy storage system (ESS) or other associated elements for supporting frequency regulation are also discussed. Finally, this work provides a complete recommendation about frequency regulation techniques for offshore wind farms.","PeriodicalId":143430,"journal":{"name":"2020 International Symposium on Computer, Consumer and Control (IS3C)","volume":"39 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":"126784772","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: 5

Screw defect detection system based on AI image recognition technology 基于AI图像识别技术的螺杆缺陷检测系统

2020 International Symposium on Computer, Consumer and Control (IS3C) Pub Date : 2020-11-01 DOI: 10.1109/IS3C50286.2020.00134

HangHong Kuo, JuinMing Xu, C. Yu, J. Yan

{"title":"Screw defect detection system based on AI image recognition technology","authors":"HangHong Kuo, JuinMing Xu, C. Yu, J. Yan","doi":"10.1109/IS3C50286.2020.00134","DOIUrl":"https://doi.org/10.1109/IS3C50286.2020.00134","url":null,"abstract":"In the past ten years, smart manufacturing has been widely discussed and gradually introduced into various manufacturing fields. Since Germany proposed the concept of “Industry 4.0” in 2011, it has been spreading and feverish all over the world. For Industry 4.0, information digitization, intelligent defect detection and database platform management are their main core technologies. Aiming at a large screw industry manufacturing field in central and southern Taiwan, this paper proposes a screw defect detection system based on AI image recognition technology to detect damage to the nut during the “molding” process in the screw production process, and it is determined whether the inspected screw passes the inspection. The recognition result is given as shown in Figure 1. This paper uses 500 non-defective screw samples and 20 defective screw samples provided by the screw factory. The above samples collected real-time images through the sampling structure designed in this article, and we adopt Microsoft Corporation's ML.NET suite to model AI images, and uses the following four deep learning models: ResNetV2 50, ResNetV2 101, InceptionV3, MoblieNetV2 for learning; in the process of learning, this article divides the data set into three types of data sets (one is the unknown set that is not used for training but mixed with correct and defective samples, and the other is used for post-training verification of mixed samples with correct and defective samples. The third is a training set for training a mixture of correct and defective samples) This arrangement is used for subsequent verification models; after training, a PC-based screw defect detection system is implemented as shown in Figure 2; finally, with Detect screw defects in the form of instant photography. After the experiment, in 1,000 repeated tests, the success rate of defect detection reached 97%, while the false positive rate was only 2%.","PeriodicalId":143430,"journal":{"name":"2020 International Symposium on Computer, Consumer and Control (IS3C)","volume":"36 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":"122282446","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: 4

Design of AB Broker-Based Bio-Signal Analysis System to Secure Interoperability 基于AB代理的生物信号分析系统的互操作性设计

2020 International Symposium on Computer, Consumer and Control (IS3C) Pub Date : 2020-11-01 DOI: 10.1109/IS3C50286.2020.00016

Moon-Il Joo, Tae-Woong Kim, Youl-Ga Cho, Hee-Cheol Kim

{"title":"Design of AB Broker-Based Bio-Signal Analysis System to Secure Interoperability","authors":"Moon-Il Joo, Tae-Woong Kim, Youl-Ga Cho, Hee-Cheol Kim","doi":"10.1109/IS3C50286.2020.00016","DOIUrl":"https://doi.org/10.1109/IS3C50286.2020.00016","url":null,"abstract":"With the recent development of artificial intelligence and data mining technology, various and intelligent bio-signal analysis technologies have been developed. Bio-signal analysis algorithms and technologies are primarily developed using MATLAB and open source technologies such as Python and R. The analysis algorithms developed with such programming languages can only be employed and run in their own respective development environments and hence are unfortunately not considered as platform independent. In that respect, the interoperability between development tools is needed to ensure efficiency in terms of development time and efforts and reusability between analysis technologies and algorithms developed in different languages. This paper presents the development of a bio-signal analysis system that ensures interoperability which leads to one common environment connecting different development platforms. To maintain the interoperability between MATLAB and R programming, we designed and implemented the Algorithm Block Broker (AB Broker). AB Broker is composed of AB Adapter and AB Broker. Here, the AB Broker uses AB Adapter to request execution of analysis algorithms developed in different languages such as MATLAB, R and Python. It also searches and runs the algorithm, helping implement the requested analysis technique. The AB Broker-based bio-signal analysis system enables the integrated management of analysis and data mining technologies developed in different languages. From developers' points of view, therefore, it is convenient and efficient to develop techniques using existing different programming technologies.","PeriodicalId":143430,"journal":{"name":"2020 International Symposium on Computer, Consumer and Control (IS3C)","volume":"13 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":"121719060","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 Gesture Controlled Music Playback System Using Convolutional Neural Network 基于卷积神经网络的手势控制音乐播放系统

2020 International Symposium on Computer, Consumer and Control (IS3C) Pub Date : 2020-11-01 DOI: 10.1109/IS3C50286.2020.00010

Hung-Kuang Chen, Che-Chia Chuang

引用次数: 1

Pet cat behavior recognition based on YOLO model 基于YOLO模型的宠物猫行为识别

2020 International Symposium on Computer, Consumer and Control (IS3C) Pub Date : 2020-11-01 DOI: 10.1109/IS3C50286.2020.00107

Hsiu-Te Hung, R. Chen

{"title":"Pet cat behavior recognition based on YOLO model","authors":"Hsiu-Te Hung, R. Chen","doi":"10.1109/IS3C50286.2020.00107","DOIUrl":"https://doi.org/10.1109/IS3C50286.2020.00107","url":null,"abstract":"With the progress of the times and the rapid development of science and technology, machine learning and artificial intelligence are increasingly used in transportation, logistics, and homes. In terms of pets, pet monitoring has also become very popular in recent years. Therefore, this study for the real-time monitoring of home pets, using the raspberry pie as a monitoring system, proposed a raspberry pi-based YOLOv3-Tiny identification system YOLOv3-Tiny method with rapid detection and better boundary frame prediction. One thousand one hundred twenty-eight pictures of cats' movements were collected in the room for marking and training. Finally, according to the input image categories, the results of six cat action categories were output. They were sleeping, eating, sitting down, walking, going to the toilet, and search on a trash can. The average accuracy was 98%. Through image recognition, the images were sent to the user's mobile phone app and computer. When the cat goes to the toilet for too long or flips through the trash can, the system will instantly send a message to the owner's mobile phone to achieve an instant preventive remote pet monitoring system.","PeriodicalId":143430,"journal":{"name":"2020 International Symposium on Computer, Consumer and Control (IS3C)","volume":"16 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":"131543695","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