2014 6th International Conference on Computer Science and Information Technology (CSIT)最新文献

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Skeleton extraction: Comparison of five methods on the Arabic IFN/ENIT database 骨骼提取:五种方法在阿拉伯语IFN/ENIT数据库上的比较
Atallah Al-Shatnawi, K. Omar, Bader M. AlFawwaz, A. Zeki
{"title":"Skeleton extraction: Comparison of five methods on the Arabic IFN/ENIT database","authors":"Atallah Al-Shatnawi, K. Omar, Bader M. AlFawwaz, A. Zeki","doi":"10.1109/CSIT.2014.6805978","DOIUrl":"https://doi.org/10.1109/CSIT.2014.6805978","url":null,"abstract":"Thinning “Skeletonization” is a very crucial stage in the Arabic Character Recognition (ACR) system. It simplifies the text shape and reduces the amount of data that needs to be handled and it is usually used as a pre-processing stage for recognition and storage systems. The skeleton of Arabic text can be used for: baseline detection, character segmentation, and features extraction, and ultimately supporting the classification. In this paper, five of the state of the art thinning algorithms are selected and implemented. The five algorithms are: SPTA, Zhang-Suen parallel thinning algorithm, Huang-Wan-Liu thinning algorithm, thinning and skeletonization based morphological operation algorithms. The five selected algorithms are applied on the IFN/ENIT dataset. The results obtained by the five methods are discussed and analyzed against the IFN/ENIT dataset based on preserving shape and the text connectivity, preventing spurious tails, maintaining one pixel width skeleton and avoiding the necking problem as well as running time efficiently. In addition to that some performance measurement for checking text connectivity, spurious tails and calculating the stroke thickness are proposed and carried out.","PeriodicalId":278806,"journal":{"name":"2014 6th International Conference on Computer Science and Information Technology (CSIT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134308915","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
Super nodes for wireless Sensor Networks 无线传感器网络的超级节点
H. Abusaimeh
{"title":"Super nodes for wireless Sensor Networks","authors":"H. Abusaimeh","doi":"10.1109/CSIT.2014.6805984","DOIUrl":"https://doi.org/10.1109/CSIT.2014.6805984","url":null,"abstract":"Wireless Sensor Network is one of the most advance technology in the field of Information Technology because of the various applications implemented in. Coverage issue is a fundamental research in the Wireless Sensor Networks. Many Researchers have implemented techniques in order to reduce the coverage area of the sensor node to conserve the nodes energy. In this paper, a model to use intelligent nodes to perform an easy and secure network. These intelligent nodes are distribute between the ordinary sensor nodes and the destination nodes. The main duty of these nodes is to reduce the transmissions between the other sensor nodes and the base station by managing the nearest nodes and acting as base station for them to collect data and decide the best routing path to send these data. These nodes are different than the ordinary cluster-heads of the Wireless Sensor Network that they have more energy reserved and have more transmission and reception ranges. The performance of this model has been discussed using the simulation result that showed better performance and increasing the network lifetime.","PeriodicalId":278806,"journal":{"name":"2014 6th International Conference on Computer Science and Information Technology (CSIT)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121483795","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
Proposed approaches for intelligent classification of mobile apps for smart phones 提出了智能手机应用程序智能分类的方法
Marwan Alseid, J. AlKhateeb, Obaidah A. Rawashdeh
{"title":"Proposed approaches for intelligent classification of mobile apps for smart phones","authors":"Marwan Alseid, J. AlKhateeb, Obaidah A. Rawashdeh","doi":"10.1109/CSIT.2014.6805979","DOIUrl":"https://doi.org/10.1109/CSIT.2014.6805979","url":null,"abstract":"This paper examines mobile applications classification models and the methods applied within the field of mobile human-computer interaction. Recent smartphone interfaces demonstrated the existence of usability problems with respect to the mobile apps in terms of accessing these apps after being downloaded by the user. This paper suggests three different approaches for intelligent classification of smartphone downloaded application and provides a proposal to carry out an empirical study to explore the effect of these approaches on the usability of smartphone interfaces in terms of efficiency, effectiveness and user satisfaction. The first suggested approach automatically classifies the installed mobiles apps in folders based on specific key words related to these apps. The second approach provides intelligent classification based on the frequency of use of the downloaded apps. However, the third approach organizes the downloaded apps according to the most recently use. It is believed that this study proposes opportunities for future approaches in mobile HCI and to enhance applications classification that fit with the user needs.","PeriodicalId":278806,"journal":{"name":"2014 6th International Conference on Computer Science and Information Technology (CSIT)","volume":"53 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132328958","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
A hybrid tracking system for ZigBee WSNs ZigBee无线传感器网络的混合跟踪系统
T. Alhmiedat, Firas Omar, Anas Abu Taleb
{"title":"A hybrid tracking system for ZigBee WSNs","authors":"T. Alhmiedat, Firas Omar, Anas Abu Taleb","doi":"10.1109/CSIT.2014.6805981","DOIUrl":"https://doi.org/10.1109/CSIT.2014.6805981","url":null,"abstract":"Target localization and tracking problems in Wireless Sensor Networks (WSNs) have received considerable attention recently, driven by the need to achieve high localization accuracy, with the minimum cost possible. A wide range of proposed approaches regarding the localization area have emerged, however most of them suffer from either requiring an extra sensor, high power consumption, inaccessible indoors, or offer high localization error. This paper presents a research and development of a hybrid WSN tracking system using the Received Signal Strength Indicator (RSSI) and the inertial system. The proposed system is an efficient indoors, where it offers reasonable localization accuracy (0.1 - 0.7) meters, and achieves low power consumption. A number of real experiments have been conducted to test the efficiency of the proposed system using XBee modules.","PeriodicalId":278806,"journal":{"name":"2014 6th International Conference on Computer Science and Information Technology (CSIT)","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116103295","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
Cardiac arrhythmia classification using hierarchical classification model 心律失常分级分类模型
Rashad Ahmed, S. Arafat
{"title":"Cardiac arrhythmia classification using hierarchical classification model","authors":"Rashad Ahmed, S. Arafat","doi":"10.1109/CSIT.2014.6806001","DOIUrl":"https://doi.org/10.1109/CSIT.2014.6806001","url":null,"abstract":"The application of machine learning techniques in medicine and biomedicine has shown a rising trend and corresponding promising results. Several machine learning techniques, such as artificial neural networks, redial basis function networks and support vector machines, are successfully applied to the classification of different types of heart beat arrhythmia. This paper explores the use of a hierarchical model for the classification of cardiac arrhythmia. Furthermore, it investigates the performance of four machine learning techniques for heart beat arrhythmia classification. The benchmark MIT ECG arrhythmia database is used to evaluate the different models. The results indicate that a TreeBoost based supervised model generally achieves the best performance result. A decision tree forest has comparable results to that of TreeBoost and has slightly higher performance, compared to SVM. However, MLP has the lowest performance result. The results also show that the hierarchical model slightly outperforms the conventional one-stage model in terms of accuracy, sensitivity, and specificity.","PeriodicalId":278806,"journal":{"name":"2014 6th International Conference on Computer Science and Information Technology (CSIT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129060522","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: 10
On using a collective memory for organizational decision support 论集体记忆在组织决策支持中的应用
N. Benmessaoud, A. Adla
{"title":"On using a collective memory for organizational decision support","authors":"N. Benmessaoud, A. Adla","doi":"10.1109/CSIT.2014.6806003","DOIUrl":"https://doi.org/10.1109/CSIT.2014.6806003","url":null,"abstract":"Previous research in collaborative activities has proposed the use of organizational memory to accumulate, organize, preserve, link and share diverse knowledge coming from past experiences, and thus support such collaborative activities. As a way to deal with these needs, we propose an approach that uses a case-based reasoning system to support organizational decision making. The main goals are to reduce the time required to come to a decision, particularly, in a contingency situation, to compensate for lack of experience of young decision makers, and to distribute available experience to different sites.","PeriodicalId":278806,"journal":{"name":"2014 6th International Conference on Computer Science and Information Technology (CSIT)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127511741","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
Comparison of weights connection strategies for spoken Malay speech recognition system 马来语语音识别系统的权值连接策略比较
N. Seman
{"title":"Comparison of weights connection strategies for spoken Malay speech recognition system","authors":"N. Seman","doi":"10.1109/CSIT.2014.6806000","DOIUrl":"https://doi.org/10.1109/CSIT.2014.6806000","url":null,"abstract":"This paper presents the comparison performance of weights connection strategies approaches between artificial neural network (ANN), conjugate gradient (CG) learning algorithms with genetic algorithms (GA) method for acoustic modelling speech recognition system. Both methods are used to find the optimum weights for the hidden and output layers of artificial neural network (ANN) model. Each algorithm is presented in separate module and we proposed three different types of Weights Connection Strategies for combining both algorithms to improve the recognition performance of spoken Malay speech recognition. Two different GA techniques are used in this research: a mutated GA (mGA) technique is proposed and compared with the standard GA technique. One hundred experiments with 5000 words are conducted using the proposed strategies. Owing to previous facts, GA combined with ANN proved to attain certain advantages with sufficient recognition performance. Thus, from the results, it was observed that the performance of mutated GA algorithm when combined with CG is better than standard GA and CG models. Integrating the GA with feed-forward network improved mean square error (MSE) performance and with good connection strategy by this two stage training scheme, the recognition rate is increased up to 99%.","PeriodicalId":278806,"journal":{"name":"2014 6th International Conference on Computer Science and Information Technology (CSIT)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114355055","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
E-government: The gate for attracting foreign investments 电子政务:吸引外资的大门
Ala'a Al-Azzam, E. Abu-Shanab
{"title":"E-government: The gate for attracting foreign investments","authors":"Ala'a Al-Azzam, E. Abu-Shanab","doi":"10.1109/CSIT.2014.6805995","DOIUrl":"https://doi.org/10.1109/CSIT.2014.6805995","url":null,"abstract":"There is a growing recognition of the role that e-government has on promoting country attractiveness to foreign investors, hence, governments around the globe are deploying e-government services as a promotion technique that helps eliminating Foreign Direct Investment (FDI) barriers, in particular those related to information retrieval and accessibility, business procedures, bureaucratic protocols facing investors in a host country. This paper addresses the relationship between country attractiveness to Foreign Direct Investment (FDI) and E-government development of the host country, the study utilized two indices measured in Global Opportunity Index (GOI) measured in E-government Readiness Index (EGRI), Results suggests a significant association between the two measures.","PeriodicalId":278806,"journal":{"name":"2014 6th International Conference on Computer Science and Information Technology (CSIT)","volume":"255 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117335917","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
An automatic semantic extraction method for web data interchange 一种用于web数据交换的自动语义提取方法
Y. Yao, Hui Liu, Jin Yi, Haiqiang Chen, Xianghui Zhao, Xiaoyu Ma
{"title":"An automatic semantic extraction method for web data interchange","authors":"Y. Yao, Hui Liu, Jin Yi, Haiqiang Chen, Xianghui Zhao, Xiaoyu Ma","doi":"10.1109/CSIT.2014.6805993","DOIUrl":"https://doi.org/10.1109/CSIT.2014.6805993","url":null,"abstract":"Data interchange in Internet is mainly for specific web applications. The data formats are simple but lack of rich semantic descriptions, which can't meet current requirements of deep web data analyzing with semantic technology. Aiming at connecting web data with semantics, we propose an automatic semantic extraction method to handle web data sets with semantics and generate semantic data for applications, which includes data parsing, semantic mapping, semantic enrichment, and ontology merging processes. This method converts web data into semantic web descriptions and improves data semantics according to semantic computation. Meanwhile, it builds semantic models for data instances, which can be applied to further semantic reasoning applications. We use this method to extract schemaless JSON data automatically, including concepts, properties, constrains and values, and build semantic ontology to describe the metadata and instances. The experimental results show that this method can process web data resources and create semantic data effectively.","PeriodicalId":278806,"journal":{"name":"2014 6th International Conference on Computer Science and Information Technology (CSIT)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129553387","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
Software Engineering Education in Jordan 约旦的软件工程教育
Fawaz Al-Zaghoull, A. Hudaib, Majdi Ahed
{"title":"Software Engineering Education in Jordan","authors":"Fawaz Al-Zaghoull, A. Hudaib, Majdi Ahed","doi":"10.1109/CSIT.2014.6805990","DOIUrl":"https://doi.org/10.1109/CSIT.2014.6805990","url":null,"abstract":"There is a major challenge in providing curriculum guidance for new and emerging disciplines like Software Engineering (SE). The aim of this study is to shed some light over SE in Jordan Universities and its accreditation commission, the Higher Education and Accreditation Commission (HEAC). Therefore, we have looked at the education of software engineering in Jordan, and we have conducted a survey on the software engineering curriculum guidelines proposed at national level by HEAC in Jordan and at international level by organization like IEEE and ACM, and joints initiatives like the SWEBOK. As a case study, we will explore the curriculum and study plan of the software engineering bachelor program at ISRA University and provide some guideline for their improvement.","PeriodicalId":278806,"journal":{"name":"2014 6th International Conference on Computer Science and Information Technology (CSIT)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126443037","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
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