2019 International Conference on Green and Human Information Technology (ICGHIT)最新文献_第3页

Formal Notations of Linguistic Analysis for Monetary Policy 货币政策语言分析的形式化符号

2019 International Conference on Green and Human Information Technology (ICGHIT) Pub Date : 2019-01-01 DOI: 10.1109/ICGHIT.2019.00035

Aftab Saad Sohail, Maria Sameen, Qazi Ahmed

引用次数: 1

Voice Conversion of Synthesized Speeches Using Deep Neural Networks 基于深度神经网络的合成语音转换

2019 International Conference on Green and Human Information Technology (ICGHIT) Pub Date : 2019-01-01 DOI: 10.1109/ICGHIT.2019.00029

Young-Sun Yun, Jinmang Jung, Seongbae Eun, Shin Cha, S. So

引用次数: 2

Detection of Hard Exudates in Fundus Images Using Convolutional Neural Networks 基于卷积神经网络的眼底硬渗出物检测

2019 International Conference on Green and Human Information Technology (ICGHIT) Pub Date : 1900-01-01 DOI: 10.1109/ICGHIT.2019.00025

Ittided Poonkasem, N. Theera-Umpon, S. Auephanwiriyakul, D. Patikulsila

引用次数: 3

Latent Dirichlet Allocation Algorithm using Linguistic Analysis 基于语言分析的潜在狄利克雷分配算法

2019 International Conference on Green and Human Information Technology (ICGHIT) Pub Date : 1900-01-01 DOI: 10.1109/ICGHIT.2019.00034

Aftab Saad Sohail, Maria Sameen, Qazi Ahmed

引用次数: 1

A Personalized Recommendation Framework for Social Internet of Things (SIoT) 面向社交物联网(SIoT)的个性化推荐框架

2019 International Conference on Green and Human Information Technology (ICGHIT) Pub Date : 1900-01-01 DOI: 10.1109/ICGHIT.2019.00013

Wai-Khuen Cheng, A. A. Ileladewa, T. Tan

{"title":"A Personalized Recommendation Framework for Social Internet of Things (SIoT)","authors":"Wai-Khuen Cheng, A. A. Ileladewa, T. Tan","doi":"10.1109/ICGHIT.2019.00013","DOIUrl":"https://doi.org/10.1109/ICGHIT.2019.00013","url":null,"abstract":"Recommendation is inevitably crucial in human life, as almost every human daily activity involves decision and choice making from amongst various alternatives at our disposal. The use of computers has made automated decision making interesting, and beneficial in many areas of real-life activities, targeted at meeting different yet specific users' needs, such as in Social Internet of Things (SIoT). SIoT is defined as an emerging paradigm of IoT where intelligent devices are able to create social relationships among them in achieving a goal. Providing particular recommendation by using Social Network Services (SNS) with geographical location-aware feature is one of the interesting SIoT problems. This is mainly because the recommendation is usually constrained by several factors, which pose challenges to us on the available options, and hence having the right information that leads us in taking right decision at the right time is essential. The main contribution of this paper is providing a personalized recommendation framework which is suitable to be adopted in SIoT systems. We also analyzed the performances of the proposed framework with different datasets. Promising results are shown from the analysis.","PeriodicalId":160708,"journal":{"name":"2019 International Conference on Green and Human Information Technology (ICGHIT)","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122735604","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

Accelerating ElGamal Partial Homomorphic Encryption with GPU Platform for Industrial Internet of Things 基于GPU平台的工业物联网部分同态加密加速研究

2019 International Conference on Green and Human Information Technology (ICGHIT) Pub Date : 1900-01-01 DOI: 10.1109/ICGHIT.2019.00032

Ren-Jun Chong, W. Lee

{"title":"Accelerating ElGamal Partial Homomorphic Encryption with GPU Platform for Industrial Internet of Things","authors":"Ren-Jun Chong, W. Lee","doi":"10.1109/ICGHIT.2019.00032","DOIUrl":"https://doi.org/10.1109/ICGHIT.2019.00032","url":null,"abstract":"Industrial Internet of Things (IIoT) is a paradigm shifting technology used for enhancing the manufacturing process. Under this technology, cloud server is widely used to store sensor data collected through various sensor nodes. The stored data is being used for various analysis and computation, including machine learning and statistics, in hope of finding useful inferences for industrial purpose. However, some of these sensor data and analysis results are sensitive, which should be handled properly to protect the user privacy. In addition, the cloud server environment may not be fully trusted, due to potential cyber security attack by adversaries. Encryption is one of the most straightforward way to protect user privacy, but encrypted sensor data prohibits the cloud server to perform any further analysis. Homomorphic encryption is useful to provide encryption to sensor data, yet allow the third party (cloud server) to perform computation on the encrypted data. However, homomorphic encryption algorithm is usually complex and require a lot of computational effort. In this paper, we propose implementation technique to accelerate the ElGamal partial homomorphic encryption in GPU platform. This implementation allows homomorphic multiplication to be performed on cloud server for IIoT applications at high performance, yet able to protect the user privacy.","PeriodicalId":160708,"journal":{"name":"2019 International Conference on Green and Human Information Technology (ICGHIT)","volume":"131 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128611291","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

Asynchronous Motor Modeling in Simulink for Stator and Rotor Fault Analysis 异步电动机定子和转子故障分析的Simulink建模

2019 International Conference on Green and Human Information Technology (ICGHIT) Pub Date : 1900-01-01 DOI: 10.1109/ICGHIT.2019.00026

A. Choudhary, D. C. Meena, Animesh Kumar Patra

引用次数: 4

Automated Fining System for High Speed Driving Offences via VANET 基于VANET的高速驾驶违例自动罚款系统

2019 International Conference on Green and Human Information Technology (ICGHIT) Pub Date : 1900-01-01 DOI: 10.1109/ICGHIT.2019.00015

Maythem K. Abbas, Tan Jung Low, Raed M. T. Abdulla

{"title":"Automated Fining System for High Speed Driving Offences via VANET","authors":"Maythem K. Abbas, Tan Jung Low, Raed M. T. Abdulla","doi":"10.1109/ICGHIT.2019.00015","DOIUrl":"https://doi.org/10.1109/ICGHIT.2019.00015","url":null,"abstract":"Fatal road accidents are increasing because of fast driving. Nowadays, Road traffic departments are provided with different types of speed traps and cameras to place at some roads segments for the sake of detecting the speed offenders, which might help in reducing the problem. Many drivers know where those cameras and speed traps are, so they tend to reduce their speeds when approaching those cameras then, increase it back when leaving the cameras' visibility area. This research proposes a concept of an unavoidable speed offence detection system for smart cities and highways in a try of controlling the problem. The system proposes placing a set of Vehicular Ad-Hoc Network (VANET) devices on the roadside and within the vehicles to achieve side to side communication. The provided communication would be responsible for delivering real time information about the cars' instant status, including its speed, which would help in detecting the speeding offenders. By conducting this research, it is expected to produce a prototype of the system which would warn the speeding drivers at any time about their offence and to ensure a fine will be issued for every offender. In addition, the proposed system is expected to help traffic policemen in doing their job of identifying and proving that a driver has broken the road driving rules.","PeriodicalId":160708,"journal":{"name":"2019 International Conference on Green and Human Information Technology (ICGHIT)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133400519","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

Indoor Positioning System using Sensor and Crowdsourcing Landmark Map Update 基于传感器和众包的室内定位系统地标地图更新

2019 International Conference on Green and Human Information Technology (ICGHIT) Pub Date : 1900-01-01 DOI: 10.1109/ICGHIT.2019.00010

Hyunjung Kim, Jong Wook Kim, Beakcheol Jang

引用次数: 4

IOT- Based Framework for E-Health Monitoring System 基于物联网的电子健康监测系统框架

2019 International Conference on Green and Human Information Technology (ICGHIT) Pub Date : 1900-01-01 DOI: 10.1109/ICGHIT.2019.00033

Aneeqa Mumrez, Hira Tariq, Ushna Ajmal, M. Abrar

引用次数: 7