2020 International Conference on System, Computation, Automation and Networking (ICSCAN)最新文献_第5页

Automated Identification of Diabetic Retinopathy Using Artificial Neutral Network 基于人工神经网络的糖尿病视网膜病变自动识别

2020 International Conference on System, Computation, Automation and Networking (ICSCAN) Pub Date : 2020-07-03 DOI: 10.1109/ICSCAN49426.2020.9262359

K. Dhivya, G. Premalatha, M. Kayathri

引用次数: 2

Teaching Tactics for Color Image Segmentation Using Otsu and Minimum Cross Entropy 基于Otsu和最小交叉熵的彩色图像分割教学策略

2020 International Conference on System, Computation, Automation and Networking (ICSCAN) Pub Date : 2020-07-03 DOI: 10.1109/ICSCAN49426.2020.9262364

R. Kalyani, P. Sathya, V. Sakthivel, J. Ravikumar

引用次数: 2

Neural Network Based Driver Warning System 基于神经网络的驾驶员预警系统

2020 International Conference on System, Computation, Automation and Networking (ICSCAN) Pub Date : 2020-07-03 DOI: 10.1109/ICSCAN49426.2020.9262325

Ishan Jain, Snehangsu Biswas, Hrishita Singh, Prakriti Aggarwal

{"title":"Neural Network Based Driver Warning System","authors":"Ishan Jain, Snehangsu Biswas, Hrishita Singh, Prakriti Aggarwal","doi":"10.1109/ICSCAN49426.2020.9262325","DOIUrl":"https://doi.org/10.1109/ICSCAN49426.2020.9262325","url":null,"abstract":"According to reports, an astounding 69% of adult drivers report driving while drowsy at least once a month in the previous year according to The National Sleep Foundation. In today's fast-moving world people are usually stressed and sleep-deprived due to their demanding career. As a result of this such people fall asleep behind the wheel. Visual fatigue and drowsiness cause many accidents due to which many deaths and injuries are taking place around the world. To increase vehicle security, we propose an advanced driver assistance system (ADAS). This system aims to locate and estimate the driver's eye condition and head position using a camera that will be an indication of his drowsiness level. We also propose a speed control system to detect signboards on the way and instruct the driver either to continue with the same speed or to decelerate the vehicle based on machine learning. This system also calculates the distance between two vehicles, based on the distance it instructs the driver either to continue with the same speed or to slow down. With the system on board of multiple vehicles the safety of the travel increases and the rate of accidents caused due to driver negligence will be reduced.","PeriodicalId":6744,"journal":{"name":"2020 International Conference on System, Computation, Automation and Networking (ICSCAN)","volume":"41 1","pages":"1-7"},"PeriodicalIF":0.0,"publicationDate":"2020-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82022050","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

An Intelligent Smart Street Light System with Predictive model 具有预测模型的智能智能路灯系统

2020 International Conference on System, Computation, Automation and Networking (ICSCAN) Pub Date : 2020-07-03 DOI: 10.1109/ICSCAN49426.2020.9262435

M. Suresh, A. S, P. V, M. A.

{"title":"An Intelligent Smart Street Light System with Predictive model","authors":"M. Suresh, A. S, P. V, M. A.","doi":"10.1109/ICSCAN49426.2020.9262435","DOIUrl":"https://doi.org/10.1109/ICSCAN49426.2020.9262435","url":null,"abstract":"This paper proposes the development of intelligent street lights that minimizes the wastage of power by applying the method of reliable smart mangement proposal that is essential for a wealthy lifestyle for upcoming generations living in modern platform. The propsoed model involves three main stages namely maintenence stage, automatic adaptive ON/OFF control stage and prediction of electricity consumption stage. In order to apply this technique, a Wi-Fi module, Light dependent sensor (LDR), accelerometer and ultrasonic sensors are employed. The accelerometer sensor is utilized for identifying the pole inclination and report the emergency condition to control room or user. Then, LDR sensor is employed to turn ON-OFF of street lights with respect to atmosphere intensity level. This switching could be performed using ESP8266 based on the LDR. Ultrasonic sensor helps to sense the presence of any vechicle or person in a specified range, then light glows with 100% brightness else, it is reduced and glow with only with the intensity of 60%. Besides, a predictive model based on imporved bayesian neural netwok (IBNN) model is applied. The need of IBNN model is to report the utilization of the power for a period of specific duration. The propsoed work eliminates the power wastage during night time if there is no vechicle or trespassers passing. Moreover, by applying these three sensors, an intelligent automatic light is developed using IoT frame work that is effective.","PeriodicalId":6744,"journal":{"name":"2020 International Conference on System, Computation, Automation and Networking (ICSCAN)","volume":"53 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2020-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88877950","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

Prediction of Shoulder Surfing in E-Wallet 电子钱包肩部冲浪预测

2020 International Conference on System, Computation, Automation and Networking (ICSCAN) Pub Date : 2020-07-03 DOI: 10.1109/ICSCAN49426.2020.9262376

B.V.K. Namratha, S. U. Devi

引用次数: 0

Application of fuzzy TOPSIS for the prioritization of students' requirements in higher education institutions: a case study : A multi-criteria decision making approach 模糊TOPSIS在高等院校学生需求排序中的应用:一个案例研究:多准则决策方法

2020 International Conference on System, Computation, Automation and Networking (ICSCAN) Pub Date : 2020-07-03 DOI: 10.1109/ICSCAN49426.2020.9262329

Parth Koltharkar, Eldhose K K, R. Sridharan

{"title":"Application of fuzzy TOPSIS for the prioritization of students' requirements in higher education institutions: a case study : A multi-criteria decision making approach","authors":"Parth Koltharkar, Eldhose K K, R. Sridharan","doi":"10.1109/ICSCAN49426.2020.9262329","DOIUrl":"https://doi.org/10.1109/ICSCAN49426.2020.9262329","url":null,"abstract":"With globalization and an increase in population, education has a significant role in the economic well-being of a nation. Due to this reason, the quality of education offered by educational institutes has become significant. The quality of education is judged differently by different stakeholders. In the present study, students are considered as stakeholders who are experiencing the service of the education system. Socialization has led to the hype of students' expectations / requirements / interest in techno-managerial education. Through literature review, internet search and focus groups study, 8 dimensions (major interest) and 40 items (minor interest) are identified. Fuzzy TOPSIS approach is adopted to prioritize the items of each dimension by considering the vagueness in the responses received from the students of a higher education institution in South India. This prioritization will aid the institute to focus on top priority parameters in which they are lagging and also maintain the service level of moderate and low priority parameters.","PeriodicalId":6744,"journal":{"name":"2020 International Conference on System, Computation, Automation and Networking (ICSCAN)","volume":"40 1","pages":"1-7"},"PeriodicalIF":0.0,"publicationDate":"2020-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85841192","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

Customized Floating Point Algorithm for the Ranging System 自定义浮点算法的测距系统

2020 International Conference on System, Computation, Automation and Networking (ICSCAN) Pub Date : 2020-07-03 DOI: 10.1109/ICSCAN49426.2020.9262404

Rohit Kumar, A. B. Bazil Raj

引用次数: 1

Effect of Wood Size and Stacking on Pyrolysis Process using Prosopis Juliflora 木材粒度和堆积对豆豆热解过程的影响

2020 International Conference on System, Computation, Automation and Networking (ICSCAN) Pub Date : 2020-07-03 DOI: 10.1109/ICSCAN49426.2020.9262352

K. Muninathan, M. Venkataramanan, P. R. Daison Jacob, K. Gnanasekar, K. Gowtham

{"title":"Effect of Wood Size and Stacking on Pyrolysis Process using Prosopis Juliflora","authors":"K. Muninathan, M. Venkataramanan, P. R. Daison Jacob, K. Gnanasekar, K. Gowtham","doi":"10.1109/ICSCAN49426.2020.9262352","DOIUrl":"https://doi.org/10.1109/ICSCAN49426.2020.9262352","url":null,"abstract":"This paper analyses different stacking position and wood size to obtain the most effective parameters to obtain maximum yield from the chosen plant, which is Prosopis juliflora. It is available abundantly and has the ability to grow at an astounding rate. Proximate analysis is used to determine the composition of wood and charcoal obtained. Charcoal is extracted from wood by subjecting it to pyrolysis process at a temperature of 400°C for 4 hours. Conical, Vertical cylinder, Horizontal cylinder, Vertical square, Horizontal square and Cross stacking are six types of stacking arrangement and twigs, logs and roots are the three wood sizes which are chosen for the experiment. Two trials were conducted to find the efficient stacking position. Among the stacking arrangement Vertical cylinder stacking was chosen to be more efficient with a good yield of 24.1% and less unburnt wood of 0.3%. Four trials were conducted to identify the most efficient wood size. Among the wood sizes roots are found to be more efficient with the highest yield of 34%. This is due high moisture and low ash content of roots.","PeriodicalId":6744,"journal":{"name":"2020 International Conference on System, Computation, Automation and Networking (ICSCAN)","volume":"76 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2020-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87290535","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

Experimental analysis of cognitive issues impacting manual assembly task 影响手工装配任务的认知问题实验分析

2020 International Conference on System, Computation, Automation and Networking (ICSCAN) Pub Date : 2020-07-03 DOI: 10.1109/ICSCAN49426.2020.9262305

M. Giridhar, Lasin, V. V. Panicker

{"title":"Experimental analysis of cognitive issues impacting manual assembly task","authors":"M. Giridhar, Lasin, V. V. Panicker","doi":"10.1109/ICSCAN49426.2020.9262305","DOIUrl":"https://doi.org/10.1109/ICSCAN49426.2020.9262305","url":null,"abstract":"This research explores different ways of presenting material and information at workstations, using various assembly scenarios with fifteen subjects and six different types of pen. Use of intermixed parts, grouped parts, separated parts in different boxes, and part numbered box is the material presentation factors and information presentation factor involve text instructions and photographs. It can be inferred from the results that the number of parts assembled is higher when using part numbered box with instructions and with the least errors. However, using intermixed parts with instructions resulted in a decreased number of pens assembled. The assembly time provided for each subject was ten minutes. It is found that the workload and the stress factor in identifying the parts, distinguishing and assembling during the intermixed and grouped parts with instructions got reduced in the further scenarios. Work station design and planning can be done based on the cognitive skills of subjects, and according to their skills the various material and information presentation factors can be prepared. This results in effective utilization of manpower which leads to improved productivity and effectiveness.","PeriodicalId":6744,"journal":{"name":"2020 International Conference on System, Computation, Automation and Networking (ICSCAN)","volume":"39 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2020-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85364127","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

Criminals And Missing Children Identification Using Face Recognition And Web Scrapping 利用人脸识别和网页抓取识别罪犯和失踪儿童

2020 International Conference on System, Computation, Automation and Networking (ICSCAN) Pub Date : 2020-07-03 DOI: 10.1109/ICSCAN49426.2020.9262390

S. Ayyappan, S. Matilda

{"title":"Criminals And Missing Children Identification Using Face Recognition And Web Scrapping","authors":"S. Ayyappan, S. Matilda","doi":"10.1109/ICSCAN49426.2020.9262390","DOIUrl":"https://doi.org/10.1109/ICSCAN49426.2020.9262390","url":null,"abstract":"Face recognition is a biometric based technology that maps an individual's facial features mathematically and stores the data as a face print. It employs Machine Learning on the image and generates a feature vector which maps an object with array of numbers. This technology is used by organizations such as Google and Facebook to create a digital profile for its users. This project proposes to use this technology for identifying criminals who are on the run from their previous records. An NCRB (National Crime Records Bureau) report shows that 70% of crimes are repeatedly committed by the same criminals. These criminals can be identified by the face recognition from an image or video frame which is captured by the cameras which are installed in various locations and it can also be used for identifying missing children. The disadvantage posed is that the images are usually blurred, have less clarity and not recognizable to the human eye. The proposed system can successfully recognize more than one face which is useful for quickly searching suspected persons as the computation time is very low. It creates a unique template for each face and compare them with other images available in dataset. If the match is found for the input face, then the details associated with the related image will be displayed. This system will decrease the crimes and ensure the security in our society.","PeriodicalId":6744,"journal":{"name":"2020 International Conference on System, Computation, Automation and Networking (ICSCAN)","volume":"43 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2020-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84216784","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: 8