2018 International Conference on Current Trends towards Converging Technologies (ICCTCT)最新文献_第9页

Shunt Active Filter for Harmonic Compensation Using Fuzzy Logic Technique 用模糊逻辑技术进行谐波补偿的并联有源滤波器

2018 International Conference on Current Trends towards Converging Technologies (ICCTCT) Pub Date : 2018-03-01 DOI: 10.1109/ICCTCT.2018.8550962

Uma M. Chavan, A. Thorat, S. Bhosale

引用次数: 5

Study on Microgrids and Its Control Using Conventional and Sliding Mode Control 基于常规和滑模控制的微电网控制研究

2018 International Conference on Current Trends towards Converging Technologies (ICCTCT) Pub Date : 2018-03-01 DOI: 10.1109/ICCTCT.2018.8551133

M. Pathan, A. Thosar

引用次数: 1

Study on Demand Side Management in Microgrid using Electric Spring 基于电弹簧的微电网需求侧管理研究

2018 International Conference on Current Trends towards Converging Technologies (ICCTCT) Pub Date : 2018-03-01 DOI: 10.1109/ICCTCT.2018.8551050

A. Tayade, V. Dhote, A. Thosar

引用次数: 7

Relative Performance Analysis of Edge Detection Techniques in Iris Recognition System 虹膜识别系统中边缘检测技术的相对性能分析

2018 International Conference on Current Trends towards Converging Technologies (ICCTCT) Pub Date : 2018-03-01 DOI: 10.1109/ICCTCT.2018.8551023

Prajoy Podder, A. S. Parvez, Most. Nilufa Yeasmin, Md. Ibrahim Khalil

{"title":"Relative Performance Analysis of Edge Detection Techniques in Iris Recognition System","authors":"Prajoy Podder, A. S. Parvez, Most. Nilufa Yeasmin, Md. Ibrahim Khalil","doi":"10.1109/ICCTCT.2018.8551023","DOIUrl":"https://doi.org/10.1109/ICCTCT.2018.8551023","url":null,"abstract":"Nowadays biometric authentication is mostly used to protect access to highly confidential assets. Identity management is more important than ever as to strengthen global security, make transportation safer and protect a vital commercial entrance. Iris recognition recognizes people very accurately and reliably based on the random texture that visible on the iris of the eye while also being one of the least invasive. To thrive an iris pattern identification algorithm with approximately zero false acceptance rate, this paper analyses various edge area detection techniques applying in different iris images. Every algorithm should pass through some basic image pre-processing steps due to iris image quality, including nonlinearly distorted iris images, iris images at a distance or moving condition, and falsified iris images all are open difficulties in this recognition system. A basic work to solve the problems is to study, design and develop various algorithms for all these variations of images. Although current literature has a variety of edge detection techniques like canny, Sobel, Prewitt, this paper does not always lead to acceptable results. But the experimental result demonstrates that the Canny's algorithm performs comparatively better to detect edge points in a digital image even at a slow rate change of gray level. We have examined noisy iris images applying salt and pepper noise as well as Gaussian noise. Different filtering techniques can be applied to eradicate the undesirable noise. The effects of edge detection techniques of the mean, median and Gaussian filtered images have been observed in the paper. Gaussian filter is powerful for noise eradication. When the Gaussian filter in the vertical orientation is implemented to normalize iris image, the time complexity of this approach is reduced considerably. Experimental results show the validity of this methodology.","PeriodicalId":344188,"journal":{"name":"2018 International Conference on Current Trends towards Converging Technologies (ICCTCT)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127735935","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: 6

Density Based Smart Traffic System with Real Time Data Analysis Using IoT 使用物联网进行实时数据分析的基于密度的智能交通系统

2018 International Conference on Current Trends towards Converging Technologies (ICCTCT) Pub Date : 2018-03-01 DOI: 10.1109/ICCTCT.2018.8551108

Harsha. J Naf!a, Sheena Mariam Jacob, Nikhil P. Nair, J. Paul

{"title":"Density Based Smart Traffic System with Real Time Data Analysis Using IoT","authors":"Harsha. J Naf!a, Sheena Mariam Jacob, Nikhil P. Nair, J. Paul","doi":"10.1109/ICCTCT.2018.8551108","DOIUrl":"https://doi.org/10.1109/ICCTCT.2018.8551108","url":null,"abstract":"This paper aims to develop a convenient traffic system that allows a smooth movement of cars which will help build a smarter city. The traffic system currently implemented in many areas is not based on the density of traffic and every road is allotted a preset time. This results in traffic congestion due to large red-light delays and timings allotted for roads in a city that should vary during peak on-off hours, but in reality don't. These traditional systems are not adaptable and fail to support traffic during an unexpected situation or during an accident, and this makes them inefficient. In order to calculate the density of traffic various sensors can be used, each having their merits and demerits. In our proposed system Ultrasound Sensors are used along with Image Processing(using live feed from a camera) that works on a Raspberry Pi platform and calculates the vehicle density and dynamically allots time for different levels of traffic. This in turn allows better signal control and effective management of traffic thereby reducing the probability of a collision. By using Internet Of Things(IoT) real time data from the system can be collected, stored and managed on a cloud. This data can be used to interpret the signal duration in-case any of the sensing equipment fail, and also for future analysis.","PeriodicalId":344188,"journal":{"name":"2018 International Conference on Current Trends towards Converging Technologies (ICCTCT)","volume":"479 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115836567","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: 7

Prediction of Cardiovascular Disease Using Machine Learning Algorithms 使用机器学习算法预测心血管疾病

2018 International Conference on Current Trends towards Converging Technologies (ICCTCT) Pub Date : 2018-03-01 DOI: 10.1109/ICCTCT.2018.8550857

Kumar G Dinesh, K. Arumugaraj, K. Santhosh, V. Mareeswari

{"title":"Prediction of Cardiovascular Disease Using Machine Learning Algorithms","authors":"Kumar G Dinesh, K. Arumugaraj, K. Santhosh, V. Mareeswari","doi":"10.1109/ICCTCT.2018.8550857","DOIUrl":"https://doi.org/10.1109/ICCTCT.2018.8550857","url":null,"abstract":"Healthcare is an inevitable task to be done in human life. Cardiovascular disease is a broad category for a range of diseases that are affecting heart and blood vessels. The early methods of forecasting the cardiovascular diseases helped in making decisions about the changes to have occurred in high-risk patients which resulted in the reduction of their risks. The health care industry contains lots of medical data, therefore machine learning algorithms are required to make decisions effectively in the prediction of heart diseases. Recent research has delved into uniting these techniques to provide hybrid machine learning algorithms. In the proposed research, data pre-processing uses techniques like the removal of noisy data, removal of missing data, filling default values if applicable and classification of attributes for prediction and decision making at different levels. The performance of the diagnosis model is obtained by using methods like classification, accuracy, sensitivity and specificity analysis. This project proposes a prediction model to predict whether a people have a heart disease or not and to provide an awareness or diagnosis on that. This is done by comparing the accuracies of applying rules to the individual results of Support Vector Machine, Gradient Boosting, Random forest, Naive Bayes classifier and logistic regression on the dataset taken in a region to present an accurate model of predicting cardiovascular disease.","PeriodicalId":344188,"journal":{"name":"2018 International Conference on Current Trends towards Converging Technologies (ICCTCT)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116674220","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: 114

Integrated Rescue Group for Landslide Disaster Management 滑坡灾害管理综合救援小组

2018 International Conference on Current Trends towards Converging Technologies (ICCTCT) Pub Date : 2018-03-01 DOI: 10.1109/ICCTCT.2018.8551074

E. Fernando, U. Dampage, Adish Hanees, Namal Dissanayake, D. Karunasiri, Kasun S. Abeysinghe

{"title":"Integrated Rescue Group for Landslide Disaster Management","authors":"E. Fernando, U. Dampage, Adish Hanees, Namal Dissanayake, D. Karunasiri, Kasun S. Abeysinghe","doi":"10.1109/ICCTCT.2018.8551074","DOIUrl":"https://doi.org/10.1109/ICCTCT.2018.8551074","url":null,"abstract":"The disaster situations such as earth slips, earthquakes and collapsing of high rise structures or tunnels demands immediate rescue of the affected. However, on studying the past incidents it was understood that rescue operations could not be launched immediately after an incident due to: nonavailability of infrastructure and detection systems of humans immediately onsite, risk of repetition of the occurrence such as further earth slips, limitations of detection at night times mostly after an earth slip occurred, natural reluctance of taking the risk of proceeding into danger by humans specially during dark hours. At this backdrop, it is well understood that there is an obvious limitation in surveillance and detection capability of human based rescue parties. Furthermore, the risk of utilizing further lives for rescue operations may not justify, if repetition of the occurrence is very much imminent. However, rescuing of the affected lives demands immediate attention and delaying the same may aggravate the possible endeavors as well as may nullify the effectiveness of further rescue efforts. This research endeavors to add an effective additional dimension to the disaster rescue operations by addition of movability, longer range and close vicinity surveillance by utilizing a group of quadcopter, crawling and earth piercing robots. All platforms are being equipped with a detector for thermal signature. The proposed solution keeps the humans at bay and could prevent risking human lives, but utterly risking the robots. Above all, this prevents the requirement of 24×7 based continuous monitoring, thereby provides some physical and psychological freedom to human rescue parties, who could be utilized else where such as providing first aid to the rescued humans.","PeriodicalId":344188,"journal":{"name":"2018 International Conference on Current Trends towards Converging Technologies (ICCTCT)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117214174","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

Architecture Decision on using Microservices or Serverless Functions with Containers 在容器中使用微服务或无服务器功能的架构决策

2018 International Conference on Current Trends towards Converging Technologies (ICCTCT) Pub Date : 2018-03-01 DOI: 10.1109/ICCTCT.2018.8551035

Baskaran Jambunathan, K. Yoganathan

引用次数: 8

Real Time Gesture to Automotive Control 实时手势汽车控制

2018 International Conference on Current Trends towards Converging Technologies (ICCTCT) Pub Date : 2018-03-01 DOI: 10.1109/ICCTCT.2018.8550879

S. Chaman, Jay Jani, Henson Fernandes, Rahila Dhuka, Dhanvin Mehta

引用次数: 6

Modelling and FEA Analysis of Partial Discharge Phenomena in a Spherical Void within Solid Dielectric Material 固体介电材料球形孔洞局部放电现象的建模与有限元分析

2018 International Conference on Current Trends towards Converging Technologies (ICCTCT) Pub Date : 2018-03-01 DOI: 10.1109/ICCTCT.2018.8550930

A. Patil, D. Patil, Rutuja Pangarkar, D. Patil

引用次数: 0