2017 Second Al-Sadiq International Conference on Multidisciplinary in IT and Communication Science and Applications (AIC-MITCSA)最新文献

Keywords Sensitivity Recognition of Military Applications in Secure CRNs Environments 敏感识别;安全crn环境下军事应用

2017 Second Al-Sadiq International Conference on Multidisciplinary in IT and Communication Science and Applications (AIC-MITCSA) Pub Date : 2017-12-01 DOI: 10.1109/AIC-MITCSA.2017.8722991

Ameer Sameer Hamood, S. Sadkhan

引用次数: 5

Iraqi License Plate Localization and Recognition System Using Neural Network 基于神经网络的伊拉克车牌定位与识别系统

2017 Second Al-Sadiq International Conference on Multidisciplinary in IT and Communication Science and Applications (AIC-MITCSA) Pub Date : 2017-12-01 DOI: 10.1109/AIC-MITCSA.2017.8722963

Safaa S. Omran, Jumana A. Jarallah

引用次数: 6

Algebraic Authentication Scheme 代数认证方案

2017 Second Al-Sadiq International Conference on Multidisciplinary in IT and Communication Science and Applications (AIC-MITCSA) Pub Date : 2017-12-01 DOI: 10.1109/AIC-MITCSA.2017.8722971

Areej M. Abduldaim, Jumana Waleed, Arbah S. Abdul-Kareem, Maiada N. Mohmmedali

引用次数: 3

Fast ICA and JADE Algorithms for DS-CDMA DS-CDMA的快速ICA和JADE算法

2017 Second Al-Sadiq International Conference on Multidisciplinary in IT and Communication Science and Applications (AIC-MITCSA) Pub Date : 2017-12-01 DOI: 10.1109/AIC-MITCSA.2017.8722996

S. Sadkhan, S. J. Mohammed, Mafaz M. Shubbar

引用次数: 5

Fuzzy Logic used in Textual Emotion Detection 模糊逻辑在文本情感检测中的应用

2017 Second Al-Sadiq International Conference on Multidisciplinary in IT and Communication Science and Applications (AIC-MITCSA) Pub Date : 2017-12-01 DOI: 10.1109/AIC-MITCSA.2017.8722967

S. Sadkhan, Ahmed Dheyaa Radhi

引用次数: 5

Electromagnetic Wave Radiation of Base Station Antennas and their Health effects in IRAQ 伊拉克地区基站天线电磁波辐射及其对健康的影响

2017 Second Al-Sadiq International Conference on Multidisciplinary in IT and Communication Science and Applications (AIC-MITCSA) Pub Date : 2017-12-01 DOI: 10.1109/AIC-MITCSA.2017.8722990

S. Sadkhan

{"title":"Electromagnetic Wave Radiation of Base Station Antennas and their Health effects in IRAQ","authors":"S. Sadkhan","doi":"10.1109/AIC-MITCSA.2017.8722990","DOIUrl":"https://doi.org/10.1109/AIC-MITCSA.2017.8722990","url":null,"abstract":"The talk presents the effect of Electro Magnetic Wave on a part of the human body in IRAQ environments, which started since 2003, when Iraqi Area divided into three parts (north, middle, and south). Each part is occupied by Wireless telecommunication private company. The analysis is on the electromagnetic field penetration and a thermal effect of radiofrequency signal in structures, which represent estimates of human biological tissue. Many base stations were installed within houses inside villages, cities, without any following to the (well-known standards), which used in all other countries. Some results & (from published papers) of electromagnetic field generated by two Ultra-Wideband (UWB) antennas and the distribution into the exposed human body are considered. Localized human exposure to electromagnetic field in microwave frequency range is associated to the usage of wearable devices, detection and positioning systems; one of its applications can be used for medical devices. Some of the energy in the electromagnetic waves emitted by a device worn is absorbed by a user, mostly in superficial tissue. The direct effect is the heating of the tissue. Fig.1 shows the main parts related to this problem inside IRAQ.","PeriodicalId":337384,"journal":{"name":"2017 Second Al-Sadiq International Conference on Multidisciplinary in IT and Communication Science and Applications (AIC-MITCSA)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126313144","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

Design and Implementation of a Super WiFi Transceiver Based on TVWS Regulations Using CR Technique 基于TVWS规则的CR技术超级WiFi收发器的设计与实现

2017 Second Al-Sadiq International Conference on Multidisciplinary in IT and Communication Science and Applications (AIC-MITCSA) Pub Date : 2017-12-01 DOI: 10.1109/AIC-MITCSA.2017.8723001

Moretadha J. Kadhom, F. A. Mohammed

引用次数: 0

Simulation of a WLAN Model Secured With Fire wall_VPN Solution 防火墙- vpn安全无线局域网模型的仿真

2017 Second Al-Sadiq International Conference on Multidisciplinary in IT and Communication Science and Applications (AIC-MITCSA) Pub Date : 2017-12-01 DOI: 10.1109/AIC-MITCSA.2017.8723017

S. Sadkhan, Basam AbdAlmuneem

引用次数: 3

Monitoring System for Sickle Cell Disease Patients by Using Supervised Machine Learning 基于监督机器学习的镰状细胞病患者监测系统

2017 Second Al-Sadiq International Conference on Multidisciplinary in IT and Communication Science and Applications (AIC-MITCSA) Pub Date : 2017-12-01 DOI: 10.1109/AIC-MITCSA.2017.8723006

D. Abd, I. Al-Mejibli

{"title":"Monitoring System for Sickle Cell Disease Patients by Using Supervised Machine Learning","authors":"D. Abd, I. Al-Mejibli","doi":"10.1109/AIC-MITCSA.2017.8723006","DOIUrl":"https://doi.org/10.1109/AIC-MITCSA.2017.8723006","url":null,"abstract":"Recently, the need for a real-time healthcare monitoring system that able to offer remote and personal health-care services has increased. The patients with Sickle Cell Disease (SCD) require continuous services of testing, following-up and monitoring. Offering these services to patients smoothly at any time needs to integrated healthcare system. The recent development in information systems and technologies facilitate introducing such healthcare systems. This paper proposed an integrated system model, which offers the services of testing, following-up and monitoring patients with (SCD). The proposed system uses support vector machine SVM, which is supervised machine learning approach to analyze the collected data of a specific patient and takes the appropriate action such as send alert message to the healthcare staff. To perform the classification process, four methods are applied with SVM algorithm, which are Sequential Minimal Optimization SMO, Rules JRIP, Tree Decision Stump and Naive Bays for comparative analysis. In this paper, many experiments were implemented based on the four machine learning algorithms to determine patients of SCD from normal patients. The results were promising as they show 99% classifications were accurate when using SMO algorithm.","PeriodicalId":337384,"journal":{"name":"2017 Second Al-Sadiq International Conference on Multidisciplinary in IT and Communication Science and Applications (AIC-MITCSA)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130793237","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

Analysis and Implementation of Constructor in Class Hierarchy 类层次结构中构造函数的分析与实现

2017 Second Al-Sadiq International Conference on Multidisciplinary in IT and Communication Science and Applications (AIC-MITCSA) Pub Date : 2017-12-01 DOI: 10.1109/AIC-MITCSA.2017.8722987

N. M. Hassan

引用次数: 0