2016 IEEE Region 10 Humanitarian Technology Conference (R10-HTC)最新文献_第8页

A novel cataract detection algorithm using clinical data mapping 一种新的基于临床数据映射的白内障检测算法

2016 IEEE Region 10 Humanitarian Technology Conference (R10-HTC) Pub Date : 2016-12-01 DOI: 10.1109/R10-HTC.2016.7906816

Shashwat Pathak, Shubham Gupta, B. Kumar

引用次数: 3

A robust design and analysis of analog front end for portable ECG acquisition system 便携式心电采集系统模拟前端的鲁棒设计与分析

2016 IEEE Region 10 Humanitarian Technology Conference (R10-HTC) Pub Date : 2016-12-01 DOI: 10.1109/R10-HTC.2016.7906815

Shubham Jain, Shashwat Pathak, B. Kumar

引用次数: 5

Wind power generation by PMSG and fault protection using over-current and differential frequency relay 风力发电采用PMSG，故障保护采用过流和差频继电器

2016 IEEE Region 10 Humanitarian Technology Conference (R10-HTC) Pub Date : 2016-12-01 DOI: 10.1109/R10-HTC.2016.7906835

D. K. Singh, Ashutosh Kumar Singh, S. Mohanty, N. Singh

引用次数: 3

Design and development of phasor measurement unit on FPGA 基于FPGA的相量测量单元的设计与开发

2016 IEEE Region 10 Humanitarian Technology Conference (R10-HTC) Pub Date : 2016-12-01 DOI: 10.1109/R10-HTC.2016.7906790

A. Agarwal, N. Verma, Himani Tiwari, J. Singh, Varun Maheshwari

{"title":"Design and development of phasor measurement unit on FPGA","authors":"A. Agarwal, N. Verma, Himani Tiwari, J. Singh, Varun Maheshwari","doi":"10.1109/R10-HTC.2016.7906790","DOIUrl":"https://doi.org/10.1109/R10-HTC.2016.7906790","url":null,"abstract":"In any electrical transmission and distribution system, measurement of voltage, current and different power are necessarily for smooth functioning of a power system. The magnitude and phasor of these quantities are used in implementing different relays for power system protection, monitoring, control, communicating data to central control station, data logging and self-diagnosis. Phasor Measurement Unit (PMU) is a coordinated measurement technology which provides wide area monitoring, protection and controlling of system. Since electric distribution networks are widely extended, control systems can carry out measurements of electrical quantities simultaneously. A sequential implementation of PMU based on microprocessor/ microcontroller increases the time taken in computing the results and it affects the efficiency of the controlling system. In this paper the pipelined architecture based PMU is implemented on Field Programmable Gate Arrays, which senses-processes-communicates at the same time. The PMU is implemented on GENESYS XILINX VIRTEX 5 XC5VLX50T FPGA board with communication facility. Recommended Minimum Specific Global Navigation Satellite System (GPRMC) header is obtained by connecting Global Positioning System (GPS) to the PMU. Results are displayed on hyper terminal with help of Universal Asynchronous Receiver and Transmitter (UART) interface.","PeriodicalId":174678,"journal":{"name":"2016 IEEE Region 10 Humanitarian Technology Conference (R10-HTC)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116673126","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

Psychosomatic disorders and the biliary system 心身疾病和胆道系统

2016 IEEE Region 10 Humanitarian Technology Conference (R10-HTC) Pub Date : 2016-12-01 DOI: 10.1109/R10-HTC.2016.7906822

S. Agarwal, Ashima Srivastava

引用次数: 0

Indexing facial attractiveness and well beings using machine learning 使用机器学习索引面部吸引力和健康

2016 IEEE Region 10 Humanitarian Technology Conference (R10-HTC) Pub Date : 2016-12-01 DOI: 10.1109/R10-HTC.2016.7906813

G. Choudhary, T. Gandhi

{"title":"Indexing facial attractiveness and well beings using machine learning","authors":"G. Choudhary, T. Gandhi","doi":"10.1109/R10-HTC.2016.7906813","DOIUrl":"https://doi.org/10.1109/R10-HTC.2016.7906813","url":null,"abstract":"A challenge is indexing the facial beauty by a machine as same evaluated by human beings. A question arises: Can beauty be learnt by machines? Every individual have different concept of facial beauty. Somebody can be attracted by someone but might not be by another person. In recent past, many psychologists, neurologists and other scientists have done tremendous work in this area. This work presents a study on the facial attractiveness in a machine learning context. Various techniques applied on SCUT-FBP facial images dataset for learning the facial attractiveness. From the results, we showed that facial beauty is a universal concept that a machine can learn. A model is designed that learns from the facial images with their attractiveness ratings and produced human like evaluation of attractiveness ratings. We extracted features from images and normalized all the features value. After that we proposed some techniques of machine learning like Support Vector Machine (SVM), k-Nearest Neighbor (KNN), Decision tree and Artificial Neural Network (ANN). An accuracy of 80% was obtained using KNN and 86% was obtained using ANN for multiclass classification. Accuracies of 61% and 62% were reported by SVM using linear kernel and RBF kernel respectively. These accuracies were obtained for multiclass classification. We also evaluated accuracy for binary class to reduce the effect of non-uniformity of data.","PeriodicalId":174678,"journal":{"name":"2016 IEEE Region 10 Humanitarian Technology Conference (R10-HTC)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127499637","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

Plant growth monitoring system, with dynamic user-interface 植物生长监测系统，具有动态用户界面

2016 IEEE Region 10 Humanitarian Technology Conference (R10-HTC) Pub Date : 2016-12-01 DOI: 10.1109/R10-HTC.2016.7906781

Jerrin James, Manu Maheshwar P

{"title":"Plant growth monitoring system, with dynamic user-interface","authors":"Jerrin James, Manu Maheshwar P","doi":"10.1109/R10-HTC.2016.7906781","DOIUrl":"https://doi.org/10.1109/R10-HTC.2016.7906781","url":null,"abstract":"Agriculture has nurtured the development of human civilizations through the ages. Yet it is one of the many fields which is in dire need of technological intervention. Latest technologies like the “infrastructure of information society” Internet of Things are yet to reach the Agriculture market. This is especially so in the case of less affluent countries like India where agriculture is still a gamble for the farmer. By implementing intelligent monitoring techniques and enabling automatic sensing of the conditions on a farm, the farmer can ensure that the best possible practices are used in her/his farm and thus ensure maximum productivity and yield. The paper discusses a cost effective system that receives data about the conditions surrounding the plants from various sensors in the system. The sensors used are DHT-11, SHT-11 and a ‘Height Measuring Apparatus’ consisting of magnetic switches on a vertical pipe and a Neodymium magnet piece. The data “compiled” are the current height of the plant, the moisture content in the soil, the temperature of the soil, the atmospheric temperature and relative humidity. The system sends notifications to the farmer at regular intervals. The actions taken by the farmer upon receiving the processed data is also recorded. The corresponding effects on the plant growth are then “detected”. This process can make the farmers aware of the impact their actions have on the plants, giving them an analysis about both the needs of the plant as well as the “fruit” of their actions.","PeriodicalId":174678,"journal":{"name":"2016 IEEE Region 10 Humanitarian Technology Conference (R10-HTC)","volume":"278 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123429950","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: 14

Design and testing of a semi automatic rubber tree tapping machine (SART) 半自动橡胶树攻胶机(SART)的设计与试验

2016 IEEE Region 10 Humanitarian Technology Conference (R10-HTC) Pub Date : 2016-12-01 DOI: 10.1109/R10-HTC.2016.7906779

S. Soumya, R. S. Vishnu, R. Arjun, R. R. Bhavani

引用次数: 9

Women empowerment towards developing India 为发展中的印度赋予妇女权力

2016 IEEE Region 10 Humanitarian Technology Conference (R10-HTC) Pub Date : 2016-12-01 DOI: 10.1109/R10-HTC.2016.7906859

A. Priyadharshini, R. Thiyagarajan, V. Kumar, T. Radhu

引用次数: 13

Optimal battery sizing for energy scheduling in hybrid power system using heuristic technique 基于启发式算法的混合动力系统能量调度电池尺寸优化

2016 IEEE Region 10 Humanitarian Technology Conference (R10-HTC) Pub Date : 2016-12-01 DOI: 10.1109/R10-HTC.2016.7906836

N. Paliwal, Ashutosh Kumar Singh, N. Singh

引用次数: 2