2019 First International Conference of Intelligent Computing and Engineering (ICOICE)最新文献_第6页

An Enhanced Algorithm for Matching Arabic Names Entered by Mobile Phones 一种增强的手机输入阿拉伯语名称匹配算法

2019 First International Conference of Intelligent Computing and Engineering (ICOICE) Pub Date : 2019-12-01 DOI: 10.1109/ICOICE48418.2019.9035148

Salah Al-Hagree, Sarah Abdulmalik, Muneer Alsurori, Maher Al-Sanabani

引用次数: 3

Predict Reservoir Fluid Properties of Yemeni Crude Oils Using Fuzzy Logic Technique 利用模糊逻辑技术预测也门原油储层流体性质

2019 First International Conference of Intelligent Computing and Engineering (ICOICE) Pub Date : 2019-12-01 DOI: 10.1109/ICOICE48418.2019.9035131

Salem O. Baarimah, Al-Gathe Abdelrigeeb, A. B. BinMerdhah

引用次数: 2

Densification of 5G Heterogeneous Cellular Wireless Network Based on Millimeter-Wave Communication 基于毫米波通信的5G异构蜂窝无线网络致密化研究

2019 First International Conference of Intelligent Computing and Engineering (ICOICE) Pub Date : 2019-12-01 DOI: 10.1109/ICOICE48418.2019.9035188

Ahmed M. Al-Hazemi, Amer A. Al-Mekhlafi, R. Q. Shaddad

{"title":"Densification of 5G Heterogeneous Cellular Wireless Network Based on Millimeter-Wave Communication","authors":"Ahmed M. Al-Hazemi, Amer A. Al-Mekhlafi, R. Q. Shaddad","doi":"10.1109/ICOICE48418.2019.9035188","DOIUrl":"https://doi.org/10.1109/ICOICE48418.2019.9035188","url":null,"abstract":"The world is experiencing a massive advancement in the fifth generation (5G) of wireless networks communications., which will bring about a noticeable change in the communication system as well as the emergence of new technology to keep pace with this system including Software Design Network (SDN)., Network Function Virtualization (NFV) and Massive Multi inputs Multi outputs (M-MIMO), which will rapidly and effectively improve the quality of services for consumers. The high frequency of tens of GHz used in this type of network, leading to up to tens of gigabits per second in the data rate. This paper dealt with the planning of 5G networks in urban and suburban area in Taiz city. The main problem that faces in the 5G wireless network that in suburban area where the mobility is high, the network implemented using overlapped cells to provide mobility from one cell to another and. However, overlapping increases interference and, consequently, may reduce network capacity. Also, in urban area, the main problem is due to dense deployment of multi-tier heterogeneous networks (Het-Nets) causes the inter-tier and intra-tier interferences. Areas are divided into small cells of different sizes according to population density and other natural factors to achieve network density by millimeter wave (mm- Wave) technology that uses a frequency of 60 GHz., which is one of the most important characteristics of 5G networks resulting from an increase in the number of cells and (Het-Nets). So, it achieved a high data rate which reach to 8 Gbps at each cell. There are about 240 cells in urban area and 105 cells in the suburban area, so this made it able to provide services to more than 220,000 users in urban and more than 100,000 users in suburban in addition to the optimization of power, which has reached the value of power received less than -120 dBm.","PeriodicalId":109414,"journal":{"name":"2019 First International Conference of Intelligent Computing and Engineering (ICOICE)","volume":"271 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":"122686805","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

An Improved Pre-processing Machine Learning Approach for Cross-Sectional MR Imaging of Demented Older Adults 一种改进的预处理机器学习方法用于老年痴呆的横截面磁共振成像

2019 First International Conference of Intelligent Computing and Engineering (ICOICE) Pub Date : 2019-12-01 DOI: 10.1109/ICOICE48418.2019.9035164

Afreen Khan, S. Zubair, Muaadhabdo Al Sabri

{"title":"An Improved Pre-processing Machine Learning Approach for Cross-Sectional MR Imaging of Demented Older Adults","authors":"Afreen Khan, S. Zubair, Muaadhabdo Al Sabri","doi":"10.1109/ICOICE48418.2019.9035164","DOIUrl":"https://doi.org/10.1109/ICOICE48418.2019.9035164","url":null,"abstract":"Data pre-processing is the foremost step employed in building any machine learning (ML) model. It has a significant effect on the generalization performance of the model. In the present study, we have attempted to present the data pre-processing techniques for analysis of cross-sectional Magnetic Resonance Imaging (MRI) data of demented and non-demented older adults. The MRI dataset consists of 434 MR sessions of 416 subjects, aged between 18 to 96 years. Before performing classification of MRI data and its pattern analysis, characteristics of the dataset, such as sampling, imbalanced dataset, missing values, outliers, incompleteness, and the presence of irrelevant features, had been addressed. We involved ten major steps to process dataset for the ML model building. Experimental results on the cross-sectional data indicated a significant relative improvement in the pattern analysis achieved by doing PCA (Principal Component Analysis). Pattern analysis employing PCA resulted in noteworthy advancement in pattern recognition with an explained variance of 0.97377.","PeriodicalId":109414,"journal":{"name":"2019 First International Conference of Intelligent Computing and Engineering (ICOICE)","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":"125706658","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: 8

Dense 5G Network Planning for Coastal Area at Aden City, Yemen 也门亚丁市沿海地区密集5G网络规划

2019 First International Conference of Intelligent Computing and Engineering (ICOICE) Pub Date : 2019-12-01 DOI: 10.1109/ICOICE48418.2019.9035140

Amer A. Al-Mekhlafi, Osama M. Al-Kamali, R. Q. Shaddad, Mohammed A. Abduljalil

{"title":"Dense 5G Network Planning for Coastal Area at Aden City, Yemen","authors":"Amer A. Al-Mekhlafi, Osama M. Al-Kamali, R. Q. Shaddad, Mohammed A. Abduljalil","doi":"10.1109/ICOICE48418.2019.9035140","DOIUrl":"https://doi.org/10.1109/ICOICE48418.2019.9035140","url":null,"abstract":"In the coming years, there will be a ground-breaking advancement in the field of wireless communications as the introduction of Fifth Generation (5G) network, which will be a turning point in communications systems and lead to the creation of unparalleled new systems and innovations. Network planning suggested in this paper for Aden City's coastal area and contrasted it with our previous 5G wireless access network research planning that we had implemented in Taiz City's urban area. Such densification of the network could support different networks and multiple cells within the primary network, called heterogeneous networks (Het-Nets), and demonstrate how they vary between two cities according to a lot of points. The more challenges of the densification in 5G during planning of 5G are network densification, spectrum aggregation Millimeter Wave (mm-Wave) bands and spectral efficiency techniques, so more bandwidth is needed and Supporting mobility through such a highly Het-Net. In this paper, the planning process came up with solutions which gave us good results that show the planned network which use the frequency of 28 GHz reaching higher data rates that rise to 7.1 Gbps at each cell in Taiz City and 5.2 Gbps at each cell in Aden City. The number of cells up to 212 micro cells in Taiz city which considered as an urban area with 189624 users compared to 200 micro cells and 185543 users in Aden City.","PeriodicalId":109414,"journal":{"name":"2019 First International Conference of Intelligent Computing and Engineering (ICOICE)","volume":"7 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":"114689539","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

Designing an Accurate and Efficient Algorithm for Matching Arabic Names 设计一种精确高效的阿拉伯语人名匹配算法

2019 First International Conference of Intelligent Computing and Engineering (ICOICE) Pub Date : 2019-12-01 DOI: 10.1109/ICOICE48418.2019.9035184

Salah Al-Hagree, Maher Al-Sanabani, Khaled M. Alalayah, Mohammed Hadwan

{"title":"Designing an Accurate and Efficient Algorithm for Matching Arabic Names","authors":"Salah Al-Hagree, Maher Al-Sanabani, Khaled M. Alalayah, Mohammed Hadwan","doi":"10.1109/ICOICE48418.2019.9035184","DOIUrl":"https://doi.org/10.1109/ICOICE48418.2019.9035184","url":null,"abstract":"A great deal of research has been done to find out an accurate algorithm for name matching that would play major role in the application process. Researchers have developed several algorithms to measure the similarity of string, but most of them are designed mainly to deal with Latin-based languages. However, dealing with the Arabic context is a challenging task, owing to the nature and unique features of the Arabic language. This can explain why the name matching algorithms in the Arabic context are rare. Therefore, this paper aims at designing an accurate and efficient algorithm for matching Arabic names. In this paper, a framework for matching Arabic names has been designed to provide a platform for the current and future investigations, involving matching Arabic names. This framework deals with specific characteristics of Arabic language and the various levels of similarities for Arabic letters, mainly keyboard similarities, letter forms and phonetic similarities. Moreover, the proposed algorithm accounts for the operation of transposition and the enhanced states of substitution, deletion and insertion operations. Therefore, the proposed algorithm reduces the storage space of the process, saves the time of processing time and reduces the time complexity from O(N3) to O(N2). Besides, the experiments show that the proposed algorithm is more efficient and more accurate than the other algorithms. Keywords: Matching Arabic names, String matching, Character N-gram, Levenshtein distance.","PeriodicalId":109414,"journal":{"name":"2019 First International Conference of Intelligent Computing and Engineering (ICOICE)","volume":"11 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":"132857763","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: 3

Use of comparative classification techniques to build a system for diagnosing heart diseases 运用比较分类技术建立心脏病诊断系统

2019 First International Conference of Intelligent Computing and Engineering (ICOICE) Pub Date : 2019-12-01 DOI: 10.1109/ICOICE48418.2019.9035142

Ayedh abdulaziz Mohsen, Taher Alrashahy, Kharroubi Naoufel, Somia Noaman

{"title":"Use of comparative classification techniques to build a system for diagnosing heart diseases","authors":"Ayedh abdulaziz Mohsen, Taher Alrashahy, Kharroubi Naoufel, Somia Noaman","doi":"10.1109/ICOICE48418.2019.9035142","DOIUrl":"https://doi.org/10.1109/ICOICE48418.2019.9035142","url":null,"abstract":"Heart diseases are among the most prevalent diseases, especially in our Yemeni situation, because of the lack of health culture in the community, lack of attention to health care, and costs of medical diagnosis in medical examination and consultation. Accurate and fast computer systems help to diagnose diseases, including heart diseases. In this article, heart disease symptom data were studied, analyzed, and classified using different classification techniques (Naive Bayes id3, j48, Decision Table, Cart, and ANN) to classify and diagnose common heart diseases and compare the results of the different analyses to see which provides better classification and diagnosis. The amount of distortion in the data used (training group) was calculated using entropy to build the decision tree. Many of the medical causes used in the analysis were reviewed through patient records and the symptoms of heart diseases helped in building and designing a web-based system that helps diagnose heart diseases. Some of the techniques mentioned earlier are simulated through the system interfaces, through which the patient can enter their pathological symptom data to make diagnosis.","PeriodicalId":109414,"journal":{"name":"2019 First International Conference of Intelligent Computing and Engineering (ICOICE)","volume":"35 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":"133818121","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

Planning of 5G Heterogonous Wireless Local Network Based on Millimeter Wave Signals for University Campus 基于毫米波信号的大学校园5G异构无线局域网规划

2019 First International Conference of Intelligent Computing and Engineering (ICOICE) Pub Date : 2019-12-01 DOI: 10.1109/ICOICE48418.2019.9035178

R. Q. Shaddad, Mohammed F. Esmail, Ahmed M. Al-Absy, Yusuf A. Al-Hagry, Merfat A. Al-Gobani

{"title":"Planning of 5G Heterogonous Wireless Local Network Based on Millimeter Wave Signals for University Campus","authors":"R. Q. Shaddad, Mohammed F. Esmail, Ahmed M. Al-Absy, Yusuf A. Al-Hagry, Merfat A. Al-Gobani","doi":"10.1109/ICOICE48418.2019.9035178","DOIUrl":"https://doi.org/10.1109/ICOICE48418.2019.9035178","url":null,"abstract":"The rapid development of smart devices and intelligent things led to exponentially increase the traffic of data in wireless networks in recent years. A heterogeneous network (Her-Net), and Millimeter Wave (mm-Wave) band are the suitable solutions for the new generation networks to enhance coverage, capacity, and users demand. The main aim of this paper is to plan a fifth-Generation Heterogonous Wireless Local Network (5G Het-WLN) using dense small cells at Taiz university, Taiz, Yemen. The coverage area of Taiz university divided into 4 regions, each region with one microcell operating at 38 GHz frequency band. A further 120 femtocells were distributed inside university buildings which operate at 60 GHz frequency band. The femtocells enhance the capacity and coverage requirement for indoor subscribers. The simulation of the network planning process is implemented using OMNET ++ simulation tool. The results indicated that, throughput in uplink and downlink reached to 5.5 Gbps and 8 Gbps respectively.","PeriodicalId":109414,"journal":{"name":"2019 First International Conference of Intelligent Computing and Engineering (ICOICE)","volume":"115 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":"133093794","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

Copyright 版权

2019 First International Conference of Intelligent Computing and Engineering (ICOICE) Pub Date : 2019-12-01 DOI: 10.1109/icoice48418.2019.9035158

引用次数: 0

Clustering Web Users Based on K-means Algorithm for Reducing Time Access Cost 基于K-means算法的Web用户聚类降低时间访问成本

2019 First International Conference of Intelligent Computing and Engineering (ICOICE) Pub Date : 2019-12-01 DOI: 10.1109/ICOICE48418.2019.9035190

Maged Nasser, Hentabli Hamza, N. Salim, Faisal Saeed

{"title":"Clustering Web Users Based on K-means Algorithm for Reducing Time Access Cost","authors":"Maged Nasser, Hentabli Hamza, N. Salim, Faisal Saeed","doi":"10.1109/ICOICE48418.2019.9035190","DOIUrl":"https://doi.org/10.1109/ICOICE48418.2019.9035190","url":null,"abstract":"Numerous organizations are providing web-based services due to the consistent increase in web development and number of available web searching tools. However, the advancements in web-based services are associated with increasing difficulties in information retrieval. Efforts are now toward reducing the Internet traffic load and the cost of user access to important information. Web clustering as an important web usage mining (WUM) task groups web users based on their browsing patterns to ensure the provision of a useful knowledge of personalized web services. Based on the web structure, each Uniform Resource Locator (URL) in the web log data is parsed into tokens which are uniquely identified for URLs classification. The collective sequence of URLs a user navigated over a period of 30 minutes is considered as a session and the session is a representation of the users' navigation pattern. In this paper, K-Means algorithm was used to cluster web users based on their similarity in a vector matrix and K-means algorithm implemented several times when k=2,3,4 till k=8 and the results showed the best similarity was when k=8 and the Residual Sum of Squares (RSS) evaluation measure achieved a high intra-cluster similarity value (3.049) when k=8.","PeriodicalId":109414,"journal":{"name":"2019 First International Conference of Intelligent Computing and Engineering (ICOICE)","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":"133278533","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