2017 8th International Conference on Information Technology (ICIT)最新文献_第2页

Re-inventing PTPTN study loan with blockchain and smart contracts 用区块链和智能合约重新发明PTPTN学习贷款

2017 8th International Conference on Information Technology (ICIT) Pub Date : 2017-05-17 DOI: 10.1109/ICITECH.2017.8079940

Haneffa Muchlis Gazali, Rusni Hassan, Rizal Bin Mohd. Nor, Hafizur Rahman

引用次数: 32

Mobile network quality of experience using big data analytics approach 使用大数据分析方法的移动网络体验质量

2017 8th International Conference on Information Technology (ICIT) Pub Date : 2017-05-17 DOI: 10.1109/ICITECH.2017.8079923

Ayisat W. Yusuf-Asaju, Zulkhairi B. Dahalin, A. Ta'a

引用次数: 8

Natural language processing based features for sarcasm detection: An investigation using bilingual social media texts 基于自然语言处理特征的讽刺检测:使用双语社交媒体文本的调查

2017 8th International Conference on Information Technology (ICIT) Pub Date : 2017-05-17 DOI: 10.1109/ICITECH.2017.8079931

M. Suhaimin, M. Hijazi, R. Alfred, Frans Coenen

引用次数: 38

A mathematical model for hybrid-multi-cloud environment 混合多云环境的数学模型

2017 8th International Conference on Information Technology (ICIT) Pub Date : 2017-05-17 DOI: 10.1109/ICITECH.2017.8079999

A. Sharieh, E. Al-Thwaib

引用次数: 1

Review on mechanisms for detecting sinkhole attacks on RPLs rpl天坑攻击检测机制综述

2017 8th International Conference on Information Technology (ICIT) Pub Date : 2017-05-17 DOI: 10.1109/ICITECH.2017.8080028

M. Alzubaidi, Mohammed Anbar, Samer Al-Saleem, Shadi Al-Sarawi, Kamal Alieyan

引用次数: 18

An optimized Doppler-based LTE measurement procedure for A4 handover triggering event in high speed train networks 高速列车网络中A4切换触发事件的优化多普勒LTE测量方法

2017 8th International Conference on Information Technology (ICIT) Pub Date : 2017-05-17 DOI: 10.1109/ICITECH.2017.8080030

E. Ibrahim, Ehab Farouk Badran

{"title":"An optimized Doppler-based LTE measurement procedure for A4 handover triggering event in high speed train networks","authors":"E. Ibrahim, Ehab Farouk Badran","doi":"10.1109/ICITECH.2017.8080030","DOIUrl":"https://doi.org/10.1109/ICITECH.2017.8080030","url":null,"abstract":"Wireless Communication network is essential for railway sector as it improves the railway services as well as provides safety and reliability for its operation. Global System for Mobile Communications Railways (GSM-R) is widely used in railway systems. It is believed to have availability and reliability because of its commercial success. At the same time, GSM-R has a lot of shortcomings especially in high speed transmission. Therefore, the Long Term Evolution for Railway (LTE-R) is considered as the natural evolution for current (GSM-R) system. Very high speed trains suffer from many handovers between cells. One of the main targets of LTE-R is to provide fast and lossless handover between different cells. As a result, handover triggering decision is very critical in the design process of handover. Too late handover triggering is considered as one of the major problems that cause radio link failure. It occurs when the train is moving faster than the handover parameter settings. In this paper, an optimized Doppler-Based measurement handover procedure for High Speed Trains (HST) is proposed. The goal of this procedure is to accelerate the measurement procedure (shorten measurement time Tmeas) when the train is moving toward a target cell with a higher speed than designed. Hence, the probability of too late handover triggering will be reduced causing a subsequent reduction in radio link failure probability.","PeriodicalId":102480,"journal":{"name":"2017 8th International Conference on Information Technology (ICIT)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121872715","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: 5

Secure software engineering: Evaluation of emerging trends 安全软件工程:新兴趋势的评估

2017 8th International Conference on Information Technology (ICIT) Pub Date : 2017-05-17 DOI: 10.1109/ICITECH.2017.8079952

A. Mohammad, Ja'far Alqatawna, M. Abushariah

引用次数: 8

Blood diseases detection using data mining techniques 基于数据挖掘技术的血液疾病检测

2017 8th International Conference on Information Technology (ICIT) Pub Date : 2017-05-17 DOI: 10.1109/ICITECH.2017.8079917

Asem H. Shurrab, Ashraf Y. A. Maghari

{"title":"Blood diseases detection using data mining techniques","authors":"Asem H. Shurrab, Ashraf Y. A. Maghari","doi":"10.1109/ICITECH.2017.8079917","DOIUrl":"https://doi.org/10.1109/ICITECH.2017.8079917","url":null,"abstract":"In healthcare systems, there is huge medical data collected from many medical tests which conducted in many domains. Much research has been done to generate knowledge from medical data by using data mining techniques. However, there still needs to extract hidden information in the medical data, which can help in detecting diseases in the early stage or even before happening. In this study, we apply three data mining classifiers; Decision Tree, Rule Induction, and Naïve Bayes, on a test blood dataset which has been collected from Europe Gaza Hospital, Gaza Strip. The classifiers utilize the CBC characteristics to predict information about possible blood diseases in early stage, which may enhance the curing ability. Three experiments are conducted on the test blood dataset, which contains three types of blood diseases; Hematology Adult, Hematology Children and Tumor. The results show that Naïve Bayes classifier has the ability to predict the Tumor of blood disease better than the other two classifiers with accuracy of 56%, Rule induction classifier gives better result in predicting Hematology (Adult, Children) with accuracy of (57%–67%) respectively, while Decision Tree has the Lowest accuracy rate for detecting the three types of diseases in our dataset.","PeriodicalId":102480,"journal":{"name":"2017 8th International Conference on Information Technology (ICIT)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124948638","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

Understanding the determinants of enterprise resource planning adoption in Jordan 了解约旦企业资源规划采用的决定因素

2017 8th International Conference on Information Technology (ICIT) Pub Date : 2017-05-17 DOI: 10.1109/ICITECH.2017.8079963

Yazan Alshamaileh, Mannam Zamzeer, Hamad I. Alsawalqah, Assal A. M. Alqudah

引用次数: 6

Detection of muscle fatigue using wearable (MYO) surface electromyography based control device 基于可穿戴表面肌电图控制装置的肌肉疲劳检测

2017 8th International Conference on Information Technology (ICIT) Pub Date : 2017-05-17 DOI: 10.1109/ICITECH.2017.8079913

T. M. Nourhan, M. Piechnick, J. Falkenberg, T. Nazmy

{"title":"Detection of muscle fatigue using wearable (MYO) surface electromyography based control device","authors":"T. M. Nourhan, M. Piechnick, J. Falkenberg, T. Nazmy","doi":"10.1109/ICITECH.2017.8079913","DOIUrl":"https://doi.org/10.1109/ICITECH.2017.8079913","url":null,"abstract":"Wearable technology had set to play a major role in solving various problems in medical or sports applications in sports training, ergonomics, and mostly physical therapy. Surface electromyography (sEMG) has been used for localised muscle fatigue research area, although the success of sEMG based techniques is currently limited to isometric contraction and is not acceptable to the human movement community. This work propose the use of sEMG based sensor to measure the muscle activity during dynamic contractions. In this study, the use of a low cost commercial available sensor called MYO armband was implemented to reveal the viability to utilise this type of sensor to quantify muscle fatigue. The acquired sEMG signals from the muscle were analysed with the use of a set of selected features, RMS and MDF have been used as indicators of fatigue, and then classifying the signal into two classes non-fatigue and fatigue using backpropagation neural networks, allowing the prediction of muscle fatigue. Results show that automating the process of localised muscle fatigue detection is showed with higher accuracy compared with other methods.","PeriodicalId":102480,"journal":{"name":"2017 8th International Conference on Information Technology (ICIT)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132000193","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