Int. J. Synth. Emot.最新文献_第2页

Opinion Mining of Twitter Events using Supervised Learning 基于监督学习的Twitter事件意见挖掘

Int. J. Synth. Emot. Pub Date : 2018-07-01 DOI: 10.4018/IJSE.2018070102

Nida Hakak, Mahira Kirmani

引用次数: 1

Exploiting Chi Square Method for Sentiment Analysis of Product Reviews 基于卡方方法的产品评论情感分析

Int. J. Synth. Emot. Pub Date : 2018-07-01 DOI: 10.4018/IJSE.2018070105

Nilesh M. Shelke, Shrinivas P. Deshpande

引用次数: 0

Summarizing Opinions with Sentiment Analysis from Multiple Reviews on Travel Destinations 用旅游目的地多重评论的情感分析总结意见

Int. J. Synth. Emot. Pub Date : 2018-07-01 DOI: 10.4018/IJSE.2018070107

Argha Roy, Shyamali Guria, Suman Halder, Sayani Banerjee, Sourav Mandal

引用次数: 2

Smart Refrigerator with Recipe Assistance 智能冰箱与食谱协助

Int. J. Synth. Emot. Pub Date : 2017-07-01 DOI: 10.4018/IJSE.2017070104

Aishwarya Gadgil, Vedija Jagtap, P. Kulkarni

{"title":"Smart Refrigerator with Recipe Assistance","authors":"Aishwarya Gadgil, Vedija Jagtap, P. Kulkarni","doi":"10.4018/IJSE.2017070104","DOIUrl":"https://doi.org/10.4018/IJSE.2017070104","url":null,"abstract":"Internet of Things (IoT) will lead to a technological revolution that will change the way people live and interact with their surroundings. Intelligent appliances combined with multimedia capability have been emerging in everyone's life. Smart home is one of the prominent areas of intelligent advances. Kitchen is considered as the center of our house, where the refrigerator plays an important role. Smart Refrigerator with Recipe Assistance will help in automating the refrigerator. The authors propose a system that would track the stock of ingredients in the refrigerator with the help of RFID tags and load cells. According to the availability of ingredients a list of possible recipes is predicted and suggestions will be given to the user. Whenever an item is identified by a RFID tag, estimations on the usage of ingredients are made and we can get notifications about the scarce products. The system will also help in checking the availability of ingredients based on the recipe user wishes to cook. The time required by an individual for manually checking the availability of ingredients in the refrigerator and then thinking about what to cook is greatly reduced using this system. Most of the information is automatically generated using RFID tags. Once the user logins into the application he/ she will be suggested the possible list of recipes based on the availability. Human intellectual power then can be used for new creative processes rather than using it for routine chores.","PeriodicalId":272943,"journal":{"name":"Int. J. Synth. Emot.","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122513440","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

Parallel Outlier Detection for Streamed Data Using Non-Parameterized Approach 基于非参数化方法的流数据异常点并行检测

Int. J. Synth. Emot. Pub Date : 2017-07-01 DOI: 10.4018/IJSE.2017070102

H. D. Markad, S. Sangve

{"title":"Parallel Outlier Detection for Streamed Data Using Non-Parameterized Approach","authors":"H. D. Markad, S. Sangve","doi":"10.4018/IJSE.2017070102","DOIUrl":"https://doi.org/10.4018/IJSE.2017070102","url":null,"abstract":"Outlierdetectionisusedinvariousapplicationslikedetectionoffraud,networkanalysis,monitoring trafficovernetworks,manufacturingandenvironmentalsoftware.Thedatastreamswhicharegenerated arecontinuousandchangingovertime.Thisisthereasonwhyitbecomesnearlydifficulttodetect theoutliersintheexistingdatawhichishugeandcontinuousinnature.Thestreameddataisreal timeandchangesovertimeandhenceitisimpracticaltostoredatainthedataspaceandanalyze itforabnormalbehavior.Thelimitationsindataspacehasledtotheproblemofrealtimeanalysis ofdataandprocessingit inFCFSbasis.Theresultsregardingtheabnormalbehaviorhavetobe doneveryquicklyandinalimitedtimeframeandonaninfinitesetofdatastreamscomingoverthe networks.Toaddresstheproblemofdetectingoutliersonareal-timebasisisachallengingtaskand hencehastobemonitoredwiththehelpoftheprocessingpowerusedtodesignthegraphicsofany processingunit.Thealgorithmusedinthispaperusesakernelfunctiontoaccomplishthetask.It producestimelyoutcomeonhighspeedmulti-dimensionaldata.Thismethodincreasesthespeed ofoutlierdetectionby20timesandthespeedgoesonincreasingwiththeincreasewiththenumber ofdataattributesandinputdatarate. KEywORDS Anomaly Intrusion Detection, Compute Unified Device Architecture (CUDA), Gaussian Detection Scheme, Graphics Processing Unit (GPU), Outlier Detection, Parallel Execution","PeriodicalId":272943,"journal":{"name":"Int. J. Synth. Emot.","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124384218","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

Framework for Threat Analysis and Attack Modelling of Network Security Protocols 网络安全协议威胁分析与攻击建模框架

Int. J. Synth. Emot. Pub Date : 2017-07-01 DOI: 10.4018/IJSE.2017070105

Nachiket Athavale, Shubham Deshpande, Vikash Chaudhary, Jatin Chavan, S. Barde

引用次数: 12

Long-Term and Short-Term Traffic Forecasting Using Holt-Winters Method: A Comparability Approach with Comparable Data in Multiple Seasons 基于冬至法的长期和短期交通预测:多季节可比数据的可比性方法

Int. J. Synth. Emot. Pub Date : 2017-07-01 DOI: 10.4018/IJSE.2017070103

A. R. Raikwar, Rahul R. Sadawarte, Rishikesh G. More, Rutuja S. Gunjal, P. Mahalle, P. Railkar

{"title":"Long-Term and Short-Term Traffic Forecasting Using Holt-Winters Method: A Comparability Approach with Comparable Data in Multiple Seasons","authors":"A. R. Raikwar, Rahul R. Sadawarte, Rishikesh G. More, Rutuja S. Gunjal, P. Mahalle, P. Railkar","doi":"10.4018/IJSE.2017070103","DOIUrl":"https://doi.org/10.4018/IJSE.2017070103","url":null,"abstract":"The need of faster life has caused the exponential growth in No. of vehicles on streets. The adverse effects include frequent traffic congestion, less time efficiency, unnecessary fuel consumption, pollution, accidents, etc. One of most important solution for resolving these problems is efficient transportation management system. Data science introduces different techniques and tools for overcoming these problems and to improve the data quality and forecasting inferences. The proposed long-term forecasting model can predict numerical values of effective attributes for a particular day on half-hourly basis, at least 24 hours prior to the time of prediction. The proposed forecasting model for short-term analysis will be having access to data as close as 30-minute difference from the time of prediction. Our proposed solution has integrated use of Holt-Winters (HW) method along with comparability schemes for seasonal approach. Long-Term and Short-Term Traffic Forecasting Using Holt-Winters Method: A Comparability Approach With Comparable Data in Multiple Seasons","PeriodicalId":272943,"journal":{"name":"Int. J. Synth. Emot.","volume":"112 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116380066","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: 11

iParking: An Intelligent Android-Cloud Based Smart Parking Reservation System Using Smart Phones Supportive to Smart City iParking:基于Android-Cloud的智能停车预约系统，基于智能手机支持智慧城市

Int. J. Synth. Emot. Pub Date : 2017-07-01 DOI: 10.4018/IJSE.2017070101

Ankita Khadsare, G. Jadhav, Sayali Mali, Shivani Nanaware

{"title":"iParking: An Intelligent Android-Cloud Based Smart Parking Reservation System Using Smart Phones Supportive to Smart City","authors":"Ankita Khadsare, G. Jadhav, Sayali Mali, Shivani Nanaware","doi":"10.4018/IJSE.2017070101","DOIUrl":"https://doi.org/10.4018/IJSE.2017070101","url":null,"abstract":"Locating a parking area in most of the metropolitan areas, especially during the rush hoursis difficult for anyone at the present time. The iParking system proposed in this paper allows us to find and reserve the vacant parking slots through oursmart phones and moreover supports the principles of “Smart City.” The design and implementation of the system called Reservation Based Smart Parking System (RSPS) is based on cloud computing and android application and finds availability of nearest parking slots. The objective is to reduce the time in finding the parking slots and avoid unnecessary traveling. The technology proposed in this paper usesInfrared Sensors (IR Sensors) for detecting the occupancy of parking slots. The iParking uses Radio Frequency Identification Devices (RFID) to identify and track a car. The methodology proposed in this paper can easily be compared with the existing parking system in terms of reducing the searching time and fuel. General Terms Proposed RSPS is using well known technologies Cloud Computing, Android mobile Operating System and RFID sensing to identify and book the nearest parking slot.","PeriodicalId":272943,"journal":{"name":"Int. J. Synth. Emot.","volume":"901 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132411668","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

Text to Sign Language Translation System: A Review of Literature 文本到手语翻译系统:文献综述

Int. J. Synth. Emot. Pub Date : 2016-07-01 DOI: 10.4018/IJSE.2016070104

L. Goyal, Vishal Goyal

引用次数: 6

Efficient Energy Saving Cryptographic Techniques with Software Solution in Wireless Network 无线网络中高效节能密码技术的软件解决方案

Int. J. Synth. Emot. Pub Date : 2016-07-01 DOI: 10.4018/IJSE.2016070105

Alka P. Sawlikar, Z. J. Khan, S. Akojwar

引用次数: 11