2019 Third International conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)最新文献_第3页

Intelligent Voice-based Authentication System 基于语音的智能认证系统

2019 Third International conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC) Pub Date : 2019-12-01 DOI: 10.1109/I-SMAC47947.2019.9032671

S. Panda

引用次数: 3

Design of High Gain and Wideband Microstrip Antenna using Complementary Split Ring Resonator on Epoxy Resin Material 基于环氧树脂材料的互补分环谐振腔高增益宽带微带天线设计

2019 Third International conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC) Pub Date : 2019-12-01 DOI: 10.1109/I-SMAC47947.2019.9032677

L. M. Therase, T. Jayanthy

引用次数: 2

A Study on Sensor Based Animal Intrusion Alert System Using Image Processing Techniques 基于图像处理技术的传感器动物入侵报警系统研究

2019 Third International conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC) Pub Date : 2019-12-01 DOI: 10.1109/I-SMAC47947.2019.9032430

S. Jeevitha, S.Vengatesh Kumar

引用次数: 13

Internet of Things based Accident Detection System 基于物联网的事故检测系统

2019 Third International conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC) Pub Date : 2019-12-01 DOI: 10.1109/I-SMAC47947.2019.9032490

S. Gowri, P. Anitha, D. Srivaishnavi, M. Nithya

{"title":"Internet of Things based Accident Detection System","authors":"S. Gowri, P. Anitha, D. Srivaishnavi, M. Nithya","doi":"10.1109/I-SMAC47947.2019.9032490","DOIUrl":"https://doi.org/10.1109/I-SMAC47947.2019.9032490","url":null,"abstract":"Drowsiness and accident detection system is an equipment gadget that expects to expand street wellbeing. This framework includes the establishment of an equipment unit that comprises of vibration sensor and heartbeat rate sensor to identify the accident and eye flicker sensor in order to distinguish the sleepiness of the driver. It utilizes GPS to follow the area and GSM to send the message. The primary motivation behind this framework is to alert the unfortunate casualty's family about the incident and it can distinguish the status of the vehicle driver as for sleepiness or weariness conditions progressively. The vibration sensor detects the accident and the beat rate sensor checks the heartbeat of the driver. At the point when the vibration happens and the heartbeat level is high, it will be expected that accident has been happened and message revealing the driver's heartbeat rate and his area will be sent to his relative. The eye flicker sensor is fitted in a wearable glass. When it recognizes the eyes are shut, the alarm bell starts to beep. On the off chance that the bell is turned off inside 20 sec, the condition is ordinary else the condition will be regarded as unusual and message detailing something strange will be sent to his relative.","PeriodicalId":275791,"journal":{"name":"2019 Third International conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)","volume":"222 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123233744","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: 9

Internet of Things Based Remote Health Monitoring System Using Arduino 基于Arduino的物联网远程健康监测系统

2019 Third International conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC) Pub Date : 2019-12-01 DOI: 10.1109/I-SMAC47947.2019.9032438

A. Nduka, Joshua Samual, S. Elango, Sajilal Divakaran, Umar Umar, R. SenthilPrabha

{"title":"Internet of Things Based Remote Health Monitoring System Using Arduino","authors":"A. Nduka, Joshua Samual, S. Elango, Sajilal Divakaran, Umar Umar, R. SenthilPrabha","doi":"10.1109/I-SMAC47947.2019.9032438","DOIUrl":"https://doi.org/10.1109/I-SMAC47947.2019.9032438","url":null,"abstract":"In recent times, the advent of technology such as Internet of Things (IoT), Cloud technology, Artificial Intelligence (AI), computing etc., information technology has witnessed a paradigm shift in tackle problems, live our daily lives, interact with each other and respond to issues of our daily lives. Generally, the IoT is a network of interconnected nodes or computers that sense gather and transmit/communicate data to relevant nodes for action and decision making. Even though we have a series of vital sign monitors ranging from manually operated to analogue and digital sensors, they are all stand-alone devices which are not connected to the patient's doctor in real-time. In this paper, the Remote Health Monitoring (RHM) system can sense certain human vital signs such as, temperature, respiration and heartbeat (pulse) which is connected in real time environment. RHM system is built on Arduino UNO board which houses other microcontrollers and sensor paired with IOT Gecko, which is further designed in a way that physicians can view patient's vital sign reading in real-time irrespective of their geographical location. When these body vital signs fall below or above normal parameters, the system triggers an alarm, giving physicians the opportunity to carry out timely individualized intervention on patients in crisis. Two different devices (Omron digital Temperature monitor, ChoiceMMed heart rate monitor) were taken for study and the results were compared with RHM system. The accuracy of the system was evaluated and it was found that +/−0.5 degrees. Hence we can conclusively say that RHM delivers accurate reading with better functionality.","PeriodicalId":275791,"journal":{"name":"2019 Third International conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123412933","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

Feature Detection for Satellite Imagery Using Deep-Convolutional Neural Network 基于深度卷积神经网络的卫星图像特征检测

2019 Third International conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC) Pub Date : 2019-12-01 DOI: 10.1109/I-SMAC47947.2019.9032563

Vaibhav Gupta, Vaibhav Aggarwal, Parakram Singh Chauhan, K. Sharma, Neetu Sharma

引用次数: 0

Comparative Analysis of Relay Selection Techniques in Free Space Optics 自由空间光学中继选择技术的比较分析

2019 Third International conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC) Pub Date : 2019-12-01 DOI: 10.1109/I-SMAC47947.2019.9032509

N. Shah, Vedvyas Dwivedi, B. Sedani

引用次数: 1

Doubly Fed Induction Generator-A Wind Technology in the Power System 电力系统中双馈感应发电机- a型风力发电技术

2019 Third International conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC) Pub Date : 2019-12-01 DOI: 10.1109/I-SMAC47947.2019.9032688

Anjali Deshpande, V. Kulkarni

{"title":"Doubly Fed Induction Generator-A Wind Technology in the Power System","authors":"Anjali Deshpande, V. Kulkarni","doi":"10.1109/I-SMAC47947.2019.9032688","DOIUrl":"https://doi.org/10.1109/I-SMAC47947.2019.9032688","url":null,"abstract":"As the stocks of conventional fuels are limited, their prices are increasing every day. The use of conventional fuels creates the problem in emission of greenhouse gases followed by global warming. At the same time the growing industrialization and modernization demands more electricity. Increased demand of electricity makes it necessary to go for alternative sources of energy like solar and wind. The potential of wind energy has made its power plant installation worldwide but along with conventional generation. The wind generators operate very differently from traditional generators. Their share in the power system is considerable, that forces us to study interaction between power systems and wind power plants and study how power system performs along with wind energy conversion systems. Though wind is great natural source speed unpredictability is a major challenge. So, technologies evolved as constant speed and variable speed wind turbines. The paper explains various types of wind energy conversion systems using squirrel cage induction generator (SCIG), synchronous generator (SG) and doubly fed induction generator (DFIG) and explains how they can be used as constant speed and variable speed systems. The paper also describes popularly used DFIG for adjustable speed operation. When DFIG based wind generation is included in power network on a large scale there is a need to control the power that is supplied by wind power plant to grid. These generators should be capable of controlling and regulating the power. There are many issues of concern like stability, power quality which are being researched. So, a DFIG model in simplest form is also described with its equivalent network.","PeriodicalId":275791,"journal":{"name":"2019 Third International conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125183192","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 Review: Predicting the Performance of Students Using Machine learning Classification Techniques 回顾:使用机器学习分类技术预测学生的表现

2019 Third International conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC) Pub Date : 2019-12-01 DOI: 10.1109/I-SMAC47947.2019.9032493

Rahul, R. Katarya

引用次数: 9

Natural language processing and Machine learning based phishing website detection system 基于自然语言处理和机器学习的钓鱼网站检测系统

2019 Third International conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC) Pub Date : 2019-12-01 DOI: 10.1109/I-SMAC47947.2019.9032492

V. M. Yazhmozhi, B. Janet

{"title":"Natural language processing and Machine learning based phishing website detection system","authors":"V. M. Yazhmozhi, B. Janet","doi":"10.1109/I-SMAC47947.2019.9032492","DOIUrl":"https://doi.org/10.1109/I-SMAC47947.2019.9032492","url":null,"abstract":"Because of the colossal growth of internet, most of the users have changed their preference from traditional shopping, banking etc. to online mode. This paved the way for a lot of cybercrimes including phishing into existence. The attackers try to extract sensitive/personal details such as user ID, passwords and debit card/credit card information by disguising themselves as reliable websites. Identifying whether the Uniform Resource Locator (URL) of a website is legitimate or phishing is a difficult task because it exploits the user's vulnerabilities. Although many products are available for detecting phishing websites, they are just making use of heuristic approach and black lists and hence they can't prevent phishing in a more effective way. A system that detects phishing websites in real time has been proposed in this paper. It uses five different classification algorithms with two different feature sets using natural language processing and word vectors to identify which performs better. After analyzing the accuracy of different machine learning classification algorithms like naive bayes, logistic regression, support vector machine, decision tree and random forest using different features, it has been found that random Forest algorithm with features based on natural language processing has performed better with an accuracy of 97.99.","PeriodicalId":275791,"journal":{"name":"2019 Third International conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)","volume":"85 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114290526","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