2019 First International Conference of Intelligent Computing and Engineering (ICOICE)最新文献_第2页

Chi Square and Support Vector Machine with Recursive Feature Elimination for Gene Expression Data Classification 基于递归特征消除的x平方分布和支持向量机基因表达数据分类

2019 First International Conference of Intelligent Computing and Engineering (ICOICE) Pub Date : 2019-12-01 DOI: 10.1109/ICOICE48418.2019.9035165

Talal Almutiri, Faisal Saeed

{"title":"Chi Square and Support Vector Machine with Recursive Feature Elimination for Gene Expression Data Classification","authors":"Talal Almutiri, Faisal Saeed","doi":"10.1109/ICOICE48418.2019.9035165","DOIUrl":"https://doi.org/10.1109/ICOICE48418.2019.9035165","url":null,"abstract":"As a result of the rapid evolution of microarray technology, plenty of statistical research that aims to detect the various expressed genes has been raised. Many studies were conducted on DNA microarray data. At present, there are several methods used in analyzing DNA microarray to help in dealing with various related research. Microarray generates large and complex data with high dimensionality issues. Thereby, the curse of dimensionality may reduce the effectiveness and performance of classifications and increase computational complexity. Therefore, feature selection techniques work to solve dimensionality issues by choosing informative genes. In this study, we proposed a new combination of feature selection methods called ChiSVMRFE based on the Chi Square Statistic and Support vector machine with Recursive Feature Elimination SVMRFE. Chi-Square used as a ranking method to calculate the weight of genes with respect to the class label, then the top ten percent of genes with the higher weights were considered as relevant and important genes. SVMRFE repeatedly train a model to discard features with the lowest weights. Finally, SVMRFE selects ten features to consider informative genes. The proposed method was applied to eleven microarray high dimensional datasets. The ChiSVMRFE worked effectively to select only ten genes that considered informative genes, also, showed improvement in the classification results compared with other methods in previous studies.","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":"125643277","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

Performance Evaluation of OLSR and AODV Routing Protocols over Mobile Ad-hoc Networks 移动Ad-hoc网络中OLSR和AODV路由协议的性能评估

2019 First International Conference of Intelligent Computing and Engineering (ICOICE) Pub Date : 2019-12-01 DOI: 10.1109/ICOICE48418.2019.9035171

Al-Aiz Hashim, Mujahed Mohammed Farhan, Sabri Alshybani

引用次数: 6

Improved model population analysis in near infrared spectroscopy 改进的近红外光谱模型总体分析

2019 First International Conference of Intelligent Computing and Engineering (ICOICE) Pub Date : 2019-12-01 DOI: 10.1109/ICOICE48418.2019.9035177

Hasan Ali Gamal Al-Kaf, A. Mohsen, Kim Seng Chia

引用次数: 1

Performance Analysis for TCP Protocols over mm Wave in 5G Cellular Networks 5G蜂窝网络中毫米波TCP协议性能分析

2019 First International Conference of Intelligent Computing and Engineering (ICOICE) Pub Date : 2019-12-01 DOI: 10.1109/ICOICE48418.2019.9035145

F. Abdulrazzak, E. Abdulaziz, Khalid Al-Hussaini

引用次数: 4

Security Management Techniques and Tools for IS Auditing 信息系统审计的安全管理技术和工具

2019 First International Conference of Intelligent Computing and Engineering (ICOICE) Pub Date : 2019-12-01 DOI: 10.1109/ICOICE48418.2019.9035147

Osamah M. Al-Matari, Iman M. A. Helal, Sherif A. Mazen, Sherif Elhennawy

{"title":"Security Management Techniques and Tools for IS Auditing","authors":"Osamah M. Al-Matari, Iman M. A. Helal, Sherif A. Mazen, Sherif Elhennawy","doi":"10.1109/ICOICE48418.2019.9035147","DOIUrl":"https://doi.org/10.1109/ICOICE48418.2019.9035147","url":null,"abstract":"Every organization needs to constitute a strong information system (IS) and security management in order to improve its business processes with the best practices. Information system processes must be reviewed and audited by IS auditors. IS auditors use a set of tools and techniques to perform the auditing process on the organizations. In this paper, we evaluate a set of tools and techniques which perform the security management of the organizations. Also, we classify the security management into five domains such as processes of auditing, governance and management, IS acquisitions and development, IS operations and support, and protection of information assets. Each domain has a set of auditing tasks. These tasks need inputs from various knowledge sources such as planning, risk assessment, evidence collection, laws and regulations, etc. Moreover, these tasks are performed through a number of tools and techniques in order to automate the security management process for IS auditors. The evaluation of tools and techniques target the security areas such as management, risk management and internal auditing controls with auditing tasks. Our main contribution is to determine the processes, tasks, and the suitable tools/techniques for each information system area from cybersecurity perspective. Moreover, each organization can analyze the security gaps in order to find a suitable solution for bridging these gaps.","PeriodicalId":109414,"journal":{"name":"2019 First International Conference of Intelligent Computing and Engineering (ICOICE)","volume":"16 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":"127369583","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

Preserving Privacy of Paging Procedure in 5thG Using Identity-Division Multiplexing 基于身份分复用的5thG寻呼过程隐私保护

2019 First International Conference of Intelligent Computing and Engineering (ICOICE) Pub Date : 2019-12-01 DOI: 10.1109/ICOICE48418.2019.9035167

Mamoon M. Saeed, R. Saeed, E. Saeid

引用次数: 10

Generalized Biharmonic Wang-Ball Surface 广义双调和Wang-Ball曲面

2019 First International Conference of Intelligent Computing and Engineering (ICOICE) Pub Date : 2019-12-01 DOI: 10.1109/ICOICE48418.2019.9035155

A. Kherd, A. Saaban, Ibrahim Iskander

引用次数: 3

10Gbps MMW backhaul network based on FBMC-PON-WDM 基于FBMC-PON-WDM的10Gbps毫米波回程网络

2019 First International Conference of Intelligent Computing and Engineering (ICOICE) Pub Date : 2019-12-01 DOI: 10.1109/ICOICE48418.2019.9035169

A. Al-hetar, Abdulnasser Abdulgaleel A. Abdulgabar

引用次数: 1

Major depressive disorder early detection 重度抑郁症早期发现

2019 First International Conference of Intelligent Computing and Engineering (ICOICE) Pub Date : 2019-12-01 DOI: 10.1109/ICOICE48418.2019.9035159

Ahmed N. Al-naggar, Saeed H. Bamashmos, Mohamad Wadaane, Mohamad Abou Ali, L. Hamawy

{"title":"Major depressive disorder early detection","authors":"Ahmed N. Al-naggar, Saeed H. Bamashmos, Mohamad Wadaane, Mohamad Abou Ali, L. Hamawy","doi":"10.1109/ICOICE48418.2019.9035159","DOIUrl":"https://doi.org/10.1109/ICOICE48418.2019.9035159","url":null,"abstract":"Major Depressive Disorder (MDD), one of the most common mental disorders in the world, is a persistent feeling of sadness that leads to physical and cognitive impairment. It is also known as clinical depression or unipolar depression. The condition is plagued by the essence of its symptomatology. The total cases in all countries are growing, thus the aim of this project is to perform morphometric analysis and functional connectivity analysis in order to explore functional associations of the structural and functional changes. The used method starts by applying a seed-based functional connectivity analysis on cortical volume and surface area from MDD patients ‘ high-resolution MRI data. In structural analysis, the regions of interest (ROI) are extracted. Then, each ROI's time series was associated with each cerebral cortex's voxel volume. Compared to healthy controls, statistical analysis showed substantial declines in functional connectivity between the seed region and the bilateral precuneus. As for the functional connectivity analysis, it showed substantial reductions in functional connectivity. Hence, recognizing the pathogenesis of MDD suggested contributing to the production of this disease's effective therapy.","PeriodicalId":109414,"journal":{"name":"2019 First International Conference of Intelligent Computing and Engineering (ICOICE)","volume":"22 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":"128202703","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

Color-based Object Categorization Model Using Fuzzy HSV Inference System 基于颜色的模糊HSV推理对象分类模型

2019 First International Conference of Intelligent Computing and Engineering (ICOICE) Pub Date : 2019-12-01 DOI: 10.1109/ICOICE48418.2019.9035173

A. Al-hetar, M. Rassam, Osama Shormani, A. A. Salem, Huthifa Al-Yousofi

{"title":"Color-based Object Categorization Model Using Fuzzy HSV Inference System","authors":"A. Al-hetar, M. Rassam, Osama Shormani, A. A. Salem, Huthifa Al-Yousofi","doi":"10.1109/ICOICE48418.2019.9035173","DOIUrl":"https://doi.org/10.1109/ICOICE48418.2019.9035173","url":null,"abstract":"Color is one of the most identifiable properties of objects and wide range of colors need to be detected. Images captured in RGB color space are hard to extract more than three colors from them due to their cubic shape of merging luminance, saturation, and color spectrum. This paper presents a color-based Object Categorization model that utilizes the HSV color space. The process starts by converting the RGB space into three main components, Hue (wavelength of colors), Saturation (purity of colors), and Value (grayness level or lightness), Unfortunately, Hue causes some sort of fogginess when color classification is applied, due to the gradient between each color. For that, the hue fuzzy sets are used which categorize colors in images. They are used to identify nine deferent object's color and categorize them into the nine common pure colors. The categorization process is then carried out by a PUMA 560 robot in nine different trajectories based on the colors extracted by the fuzzy sets. In order to illuminate bright and dark objects and putting them into the tenth trajectory of the unwanted objects, we modified the saturation and value as fuzzy sets. The system is simulated, tested and proved its effectiveness in detecting colored objects due to their gradient and variations for environments with normal or highly structured light settings, using medium or high-resolution camera.","PeriodicalId":109414,"journal":{"name":"2019 First International Conference of Intelligent Computing and Engineering (ICOICE)","volume":"56 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":"127175670","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