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2017 Eighth International Conference on Intelligent Computing and Information Systems (ICICIS)最新文献

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Hybrid MPI/OpenMP implementation of PCA PCA的混合MPI/OpenMP实现
2017 Eighth International Conference on Intelligent Computing and Information Systems (ICICIS) Pub Date : 2017-12-05 DOI: 10.1109/INTELCIS.2017.8260048
Dalia S. Ibrahim, Salma Hamdy
{"title":"Hybrid MPI/OpenMP implementation of PCA","authors":"Dalia S. Ibrahim, Salma Hamdy","doi":"10.1109/INTELCIS.2017.8260048","DOIUrl":"https://doi.org/10.1109/INTELCIS.2017.8260048","url":null,"abstract":"Most surveillance systems depend on fully automated face recognition applications. The main concern is achieving high accuracy in real time. Principle Component Analysis algorithm is used for reducing the number of variables and getting the maximum variance between low dimensional data. The proposed approaches focus on data partitioning to minimize the execution time of the algorithm by distributing data over a cluster with parallel computing architecture. The first approach achieves 2975X and 102X relatively faster than the sequential implementation in the training and recognition phases, respectively. However, the second approach achieves 74X relatively faster than the sequential implementation in the recognition phase.","PeriodicalId":321315,"journal":{"name":"2017 Eighth International Conference on Intelligent Computing and Information Systems (ICICIS)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127624920","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
Deep Arabic document layout analysis 深度阿拉伯语文件布局分析
2017 Eighth International Conference on Intelligent Computing and Information Systems (ICICIS) Pub Date : 2017-12-05 DOI: 10.1109/INTELCIS.2017.8260051
I. Amer, Salma Hamdy, M. Mostafa
{"title":"Deep Arabic document layout analysis","authors":"I. Amer, Salma Hamdy, M. Mostafa","doi":"10.1109/INTELCIS.2017.8260051","DOIUrl":"https://doi.org/10.1109/INTELCIS.2017.8260051","url":null,"abstract":"Document layout analysis (DLA) is an essential step for Optical Character Recognition Systems (OCR). The text of the document fed to the OCR must be extracted first and isolated from images if exist. The DLA task is difficult as there is no fixed layout for all documents, but instead, there are several layouts. There are various approaches for DLA for various different languages. In this paper, some of the previous techniques used in this field will be listed and then we will discuss the proposed method that depends on deep learning for documents' text localization. We used Arabic Printed Text Image database (APTI [19]), ImageNet [18] and a dataset collected from different Arabic newspapers for training and evaluation.","PeriodicalId":321315,"journal":{"name":"2017 Eighth International Conference on Intelligent Computing and Information Systems (ICICIS)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125053764","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
A comprehensive business domain ontology for cloud services 云服务的全面业务领域本体
2017 Eighth International Conference on Intelligent Computing and Information Systems (ICICIS) Pub Date : 2017-12-01 DOI: 10.1109/INTELCIS.2017.8260044
Y. Afify, N. Badr, I. Moawad, M. Tolba
{"title":"A comprehensive business domain ontology for cloud services","authors":"Y. Afify, N. Badr, I. Moawad, M. Tolba","doi":"10.1109/INTELCIS.2017.8260044","DOIUrl":"https://doi.org/10.1109/INTELCIS.2017.8260044","url":null,"abstract":"Despite the evident proliferation of Cloud Services (CS), many challenges hinder efficient service discovery and selection processes. A strong key enabler is use of ontology in CS domain. However, no broad cloud ontology has dominated yet. In this regard, we propose a fully-fledged comprehensive business domain ontology for CS with querying capabilities. The proposed CS ontology encompasses cloud taxonomy, delivery, deployment and price models. In addition to technical and computing aspects, it also covers business aspects of CS. Distinctively, it elaborates on non-functional aspects that are usually neglected in CS semantic modeling. It encompasses in-depth coverage of service characteristics, quality of service metrics and service level agreement terms. We present ontology development methodology, conceptual model and implementation details. Proposed CS ontology can be perceived as a knowledge base for CS discovery and selection. It was published as contribution to the research community.","PeriodicalId":321315,"journal":{"name":"2017 Eighth International Conference on Intelligent Computing and Information Systems (ICICIS)","volume":"211 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":"114967678","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
Cost and value analysis of software development method focused on individual function 软件开发的成本和价值分析方法侧重于单个功能
2017 Eighth International Conference on Intelligent Computing and Information Systems (ICICIS) Pub Date : 2017-12-01 DOI: 10.1109/INTELCIS.2017.8260053
A. Shimoda, Taro Yabuki
{"title":"Cost and value analysis of software development method focused on individual function","authors":"A. Shimoda, Taro Yabuki","doi":"10.1109/INTELCIS.2017.8260053","DOIUrl":"https://doi.org/10.1109/INTELCIS.2017.8260053","url":null,"abstract":"In this paper, a technique of comparing software development methods by simulating value and cost is proposed. The proposed method calculates the final value and cost by decomposing the software requirements into multiple functions and evaluating the process of sequentially completing the individual functions. In the calculation, it is assumed that the value becomes high as the function is completed at an early stage, the cost becomes low when the same function is collectively developed, and the cost becomes high when the function is completed in a deliverable state. Using the proposed simulation, the value and cost for fictitious software were tried to calculate using three methods: Waterfall, Scrum, and Kanban. The calculation results display the same features as those of the three generally known methods. On the basis of the above-mentioned results, the proposed simulation is considered to be effective for providing guidelines in selecting a software development method. In contrast to the conventional method, the proposed method considers each individual function; thus, it is possible to evaluate the value and cost that conform to the requirements of individual software.","PeriodicalId":321315,"journal":{"name":"2017 Eighth International Conference on Intelligent Computing and Information Systems (ICICIS)","volume":"57 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":"122155608","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
Empirical study on the effectiveness of adopting software quality frameworks in the Egyptian software industry 埃及软件产业采用软件质量框架的有效性实证研究
2017 Eighth International Conference on Intelligent Computing and Information Systems (ICICIS) Pub Date : 2017-12-01 DOI: 10.1109/INTELCIS.2017.8260057
Sarah K. Amer, N. Badr, Osman Ibrahim, A. Hamad
{"title":"Empirical study on the effectiveness of adopting software quality frameworks in the Egyptian software industry","authors":"Sarah K. Amer, N. Badr, Osman Ibrahim, A. Hamad","doi":"10.1109/INTELCIS.2017.8260057","DOIUrl":"https://doi.org/10.1109/INTELCIS.2017.8260057","url":null,"abstract":"To gain a competitive edge in the global market of software development, Egyptian software organizations strive to improve the quality and efficiency of their processes through implementing software quality assurance frameworks. This paper focuses on quality models inside Egyptian software organizations, using CMMI as one popular example, and describing the process areas and measures deemed particularly effective by professionals in the industry. Then it describes common challenges faced by professionals, and provides recommendations on how to alleviate these issues, especially since these local software organizations do not have a mechanism for data-sharing or information exchange to benefit from their different experiences.","PeriodicalId":321315,"journal":{"name":"2017 Eighth International Conference on Intelligent Computing and Information Systems (ICICIS)","volume":"1 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":"130730723","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
Lung nodule segmentation and detection in computed tomography 计算机断层扫描中肺结节的分割与检测
2017 Eighth International Conference on Intelligent Computing and Information Systems (ICICIS) Pub Date : 2017-12-01 DOI: 10.1109/INTELCIS.2017.8260029
S. El-Regaily, M. A. Salem, Mohamed Hassan Abdel Aziz, Mohamed Roushdy
{"title":"Lung nodule segmentation and detection in computed tomography","authors":"S. El-Regaily, M. A. Salem, Mohamed Hassan Abdel Aziz, Mohamed Roushdy","doi":"10.1109/INTELCIS.2017.8260029","DOIUrl":"https://doi.org/10.1109/INTELCIS.2017.8260029","url":null,"abstract":"Computer Aided Detection (CAD) systems provide a second opinion to radiologists in detecting lung cancer by providing automated analysis of the scans. The proposed CAD system consists of five processing steps: image acquisition, preprocessing, lung segmentation, nodule detection and false positive reduction. First, 400 CT scans are downloaded from the Lung Image Database Consortium (LIDC). Preprocessing is implemented using contrast stretching and enhancing. Lung segmentation and nodule detection stages are performed using a combination of region growing, thresholding and morphological operations. Each 3D structure is then subjected to tabular structure elimination to provide nodule candidates. In the false positive reduction stage, some of the basic nodule features are extracted from the training data to set thresholds for a simple rule-based classifier. The CAD achieved sensitivity of 77.77%, specificity of 69.5% and accuracy 70.53 % with an average 4.1 FPs/scan.","PeriodicalId":321315,"journal":{"name":"2017 Eighth International Conference on Intelligent Computing and Information Systems (ICICIS)","volume":"171 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":"132831715","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: 25
Coronary artery tree segmentation in computed tomography angiography using Otsu method Otsu方法在计算机断层血管造影中的冠状动脉树分割
2017 Eighth International Conference on Intelligent Computing and Information Systems (ICICIS) Pub Date : 2017-12-01 DOI: 10.1109/INTELCIS.2017.8260081
M. Shams, Mohammed Abdel-Megeed Salem, S. Hamad, Howida A. Shedeed
{"title":"Coronary artery tree segmentation in computed tomography angiography using Otsu method","authors":"M. Shams, Mohammed Abdel-Megeed Salem, S. Hamad, Howida A. Shedeed","doi":"10.1109/INTELCIS.2017.8260081","DOIUrl":"https://doi.org/10.1109/INTELCIS.2017.8260081","url":null,"abstract":"Analysis of coronary artery in medical images has been regarded as crucial step in the assessment of cardiovascular diseases during clinical diagnosis and surgical planning. Segmentation of coronaries in medical images is the most important step in such analysis. In this paper, an automatic segmentation method is presented for segmenting coronary artery lumen in Computed Tomography Angiography (CTA) datasets. Our proposed segmentation approach consists of two main steps. The first one is an enhancement step to enhance coronary vessels. The second is the coronary segmentation step done by applying Otsu method. Otsu thresholding is applied with different number of thresholds to check the proper number of thresholds that can better identify coronary vessel regions. Experiments are carried out on 18 real CTA datasets. Segmentation results are quantitatively evaluated using three different evaluation metrics and the results at each number of thresholds are compared.","PeriodicalId":321315,"journal":{"name":"2017 Eighth International Conference on Intelligent Computing and Information Systems (ICICIS)","volume":"19 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":"115257459","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
A robust alignment-based personal recognition using center inner Knuckle prints 一个鲁棒的对准为基础的个人识别使用中心内指关节指纹
2017 Eighth International Conference on Intelligent Computing and Information Systems (ICICIS) Pub Date : 2017-12-01 DOI: 10.1109/INTELCIS.2017.8260037
Mona A. Sadik, M. Al-Berry, Mohamed Roushdy
{"title":"A robust alignment-based personal recognition using center inner Knuckle prints","authors":"Mona A. Sadik, M. Al-Berry, Mohamed Roushdy","doi":"10.1109/INTELCIS.2017.8260037","DOIUrl":"https://doi.org/10.1109/INTELCIS.2017.8260037","url":null,"abstract":"Biometrie based identification systems have beer widely used due to their reliability. Inner Knuckle Print images contain unique and reliable features for human identification. fr this paper, we propose a personal identification method using the Center Inner Knuckle Prints. The proposed method uses the Neighboring Direction Indicator features along with a perfect alignment and enhancement preprocessing steps that boost the performance compared to state-of-the-art methods. The performance of different feature extraction methods has been investigated using Sfax-Miracle Database, which is composed of low resolution hand images captured by a contactless capture in a free environment to test the effect of alignment and enhancement The effect of prints' fusion at the score level has also been investigated for a multimodal identification system. The result show that the proposed method outperforms state-of-the-are methods considering both Equal Error Rate and Best Identification Rate.","PeriodicalId":321315,"journal":{"name":"2017 Eighth International Conference on Intelligent Computing and Information Systems (ICICIS)","volume":"5 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":"131087163","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
Investigating named entity recognition of contextual information in online consumer health text 研究在线消费者健康文本中上下文信息的命名实体识别
2017 Eighth International Conference on Intelligent Computing and Information Systems (ICICIS) Pub Date : 2017-12-01 DOI: 10.1109/INTELCIS.2017.8260078
Mohammad R. Eletriby, T. Reynolds, Ramesh C. Jain, Kai Zheng
{"title":"Investigating named entity recognition of contextual information in online consumer health text","authors":"Mohammad R. Eletriby, T. Reynolds, Ramesh C. Jain, Kai Zheng","doi":"10.1109/INTELCIS.2017.8260078","DOIUrl":"https://doi.org/10.1109/INTELCIS.2017.8260078","url":null,"abstract":"Online health forums have become a common place for healthcare consumers (e.g., patients, caregivers) to seek information and exchange support. One challenge is that patients may not know how to frame a question properly, especially on what contextual information to disclose that would help the online community better understand the health concerns they have. In this study, we analyzed the contextual information disclosed by users of the Lung and Respiratory Disorders community in a popular online health forum, Medhelp.org. We analyzed both questions and answers to understand what contextual information tends to be often missing from the questions that may hinder communication effectiveness. In doing so, we also compared two different natural language processing approaches: (1) MetaMap developed by the U.S. National Library of Medicine, and (2) IBM Natural Language Classifier (NLC), to examine their respective performance when applied to consumer health text. Our results show that the two methods are complementary, and combining them together would result in a high-performing recognition tool with an overall F-score of 80.4%.","PeriodicalId":321315,"journal":{"name":"2017 Eighth International Conference on Intelligent Computing and Information Systems (ICICIS)","volume":"99 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":"132561235","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
A hybrid elephant herding optimization and support vector machines for human behavior identification 混合象群优化与支持向量机的人类行为识别
2017 Eighth International Conference on Intelligent Computing and Information Systems (ICICIS) Pub Date : 2017-12-01 DOI: 10.1109/INTELCIS.2017.8260033
M. Kilany, A. Hassanien
{"title":"A hybrid elephant herding optimization and support vector machines for human behavior identification","authors":"M. Kilany, A. Hassanien","doi":"10.1109/INTELCIS.2017.8260033","DOIUrl":"https://doi.org/10.1109/INTELCIS.2017.8260033","url":null,"abstract":"Human behavior identification has a great importance in daily life. Security, gaming, and medical diagnosis are vital applications in that field. This paper introduces a hybrid classification approach for human behavior identification employing support vector machines (SVMs) classifier hybrid with Elephant Herding Optimization algorithm (EHO). The Elephant Herding Optimization algorithm used to fine-tune SVM parameters and to select most discriminant features. Validation of the proposed approach will be accomplished using a computer vision-based data set named Vicon. It was acquired from multiple human action detection experiments. Results show superiority for the proposed approach over other techniques on the same data set regarding classification accuracy. EHO-SVM hybrid algorithm reaches 91.21 % and 90.62 % accuracies for two test cases with different action class selections.","PeriodicalId":321315,"journal":{"name":"2017 Eighth International Conference on Intelligent Computing and Information Systems (ICICIS)","volume":"66 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":"122959398","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
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