Journal of Emerging Technologies in Web Intelligence最新文献

{"title":"Extending the Functionality of LMS to Support Computer Science Education Using Plug-In Tools","authors":"Z. Al-Khanjari, Yusra Al-Roshdi","doi":"10.4304/JETWI.6.2.220-225","DOIUrl":"https://doi.org/10.4304/JETWI.6.2.220-225","url":null,"abstract":"E-Learning is the environment that supports the education field and provides the knowledge of a specific area in one place. Computer Science Education (CSE) is one area that uses the aspects of e-Learning to educate the learners and to distribute the knowledge to them. Several Learning Management Systems (LMSs) support many software tools to manage the theoretical materials of the CSE. However, the practical software tools that are needed by the Computer Science courses are ignored or simply not considered in most of the LMSs. To overcome the limitations of the LMSs towards the practical aspects of the CSE, this paper shows how to prepare the tools and make them available for use anytime through the LMS. For this to work, the authors of this paper take a step forward in discussing how to extend the LMSs functionality in general and Moodle as a special case. This extension involves adding the needed software tool as a component to the architectural structure of Moodle. Moreover, this paper introduces some literature that supports and implements these kinds of extensions.","PeriodicalId":311436,"journal":{"name":"Journal of Emerging Technologies in Web Intelligence","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129761907","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}

{"title":"Hardware Implementation of Web Based Arabic Optical Character Recognition Units","authors":"O. Al-Khaleel, Inad A. Aljarrah, Abdelrahman Idries, K. Mhaidat","doi":"10.4304/JETWI.6.2.210-219","DOIUrl":"https://doi.org/10.4304/JETWI.6.2.210-219","url":null,"abstract":"Optical character recognition (OCR) is an important application in the field of pattern recognition. It extracts text from an image document and saves it in an editable form. Examples where OCR is used include library digitization and text searching in scanned documents. Web based applications are main tools for data processing over the net. However, implementing such applications in dedicated hardware systems would increase performance and reliability by many folds over software implementation. In this paper, we present a detailed hardware implementation of the features extraction and character matching units of an Arabic optical character recognition (AOCR) system. The hardware implementation of each of these two units is described in VerilogHDL and functionally tested using ISim from Xilinx. Furthermore, each implementation is synthesized using Xilinx ISE 13.1 targeting Xilinx Spartan6 FPGA family. Experimental results show significant speed up in the hardware implementations over software ones. We further, explore the possibility of accessing these systems over the Web. Thus, they are beneficial to wider range of people.","PeriodicalId":311436,"journal":{"name":"Journal of Emerging Technologies in Web Intelligence","volume":"134 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125058201","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}

{"title":"Analysis of Fault Tolerant Techniques in Secure Mobile Agent Paradigm","authors":"Parul Arora, Sahil Vashist, Rajwinder Singh, Rahul Hans","doi":"10.4304/JETWI.6.2.231-236","DOIUrl":"https://doi.org/10.4304/JETWI.6.2.231-236","url":null,"abstract":"Since the past few years, the network domains and mobile agent technology has been the fastest growing and emerging trend as well. But it has to undergo certain challenges and problems, in order to meet the bandwidth requirements. Moreover, it suffers from issues related to reliability like security and fault tolerance. During the agent migration in an itinerary from one server to other common issue is server crash or agent crash. The parameters used for the evaluation of various techniques are agent centric, system centric, fault type, coordination performance analysis, central management and adaptive. Advantages of each mechanism are also described .","PeriodicalId":311436,"journal":{"name":"Journal of Emerging Technologies in Web Intelligence","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122454189","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}

{"title":"New Information Hiding Technique using Features of Image","authors":"D. Singla, Mamta Juneja","doi":"10.4304/JETWI.6.2.237-242","DOIUrl":"https://doi.org/10.4304/JETWI.6.2.237-242","url":null,"abstract":"Steganography is a word derived from two Greek words i.e. Stegno and Graphy. Stegno means cover and graphy means writing. It is an important branch of information security which protects the secret information from eavesdropper. Steganography hides the existence of secret information in order to protect it. In this paper we are dealing with image steganography, in which images are used to hide the information in them. Number of image steganography techniques has been proposed so far to achieve the goals of steganography i.e. high payload, less imperceptibility and more robustness. In this paper a new steganography technique for colored image (i.e. RGB images) is introduced. This new introduced technique makes the use of features to hide more information than in other areas of image. As features are considered to be the function of edges therefore in this technique we are using hybrid edge detector to extract the features. In this technique a combination of Canny and fuzzy edge detector is used to detect the optimal edges. After detecting edges 1 bit of red, 4 bits of green and 8 bits of blue channel are used for hiding the secret message bits. For smooth areas an adaptive least significant bit based scheme is used. The newly introduced scheme achieves all the three goals of steganography appropriately.","PeriodicalId":311436,"journal":{"name":"Journal of Emerging Technologies in Web Intelligence","volume":"277 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134264218","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}

{"title":"A Novel Approach for Iris Recognition in Unconstrained Environment","authors":"N. Kaur, Mamta Juneja","doi":"10.1007/978-81-322-2196-8_17","DOIUrl":"https://doi.org/10.1007/978-81-322-2196-8_17","url":null,"abstract":"","PeriodicalId":311436,"journal":{"name":"Journal of Emerging Technologies in Web Intelligence","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124651109","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}

{"title":"Addressing Security and Privacy Issues in Cloud Computing","authors":"Yousef K. Sinjilawi, Mohammad Q. AL-Nabhan, E. Abu-Shanab","doi":"10.4304/JETWI.6.2.192-199","DOIUrl":"https://doi.org/10.4304/JETWI.6.2.192-199","url":null,"abstract":"Cloud computing is a new development of grid, parallel, and distributed computing with visualization techniques. It is changing the IT industry in a prominent way. Cloud computing has grown due to its advantages like storage capacity, resources pooling and multi-tenancy. On the other hand, the cloud is an open environment and since all the services are offered over the Internet, there is a great deal of uncertainty about security and privacy at various levels. This paper aims to address security and privacy issues threatening the cloud computing adoption by end users. Cloud providers are mindful of cloud security and privacy issues and are working hardly to address them. Few of these threats have been addressed, but many more threats still unsolved. This paper focused on cloud computing security and privacy threats, challenges, and issues. Furthermore, some of the countermeasures to these threats will be discussed and synthesized. Finally, possible solutions for each type of threats will be introduced before we end with conclusions and future work.","PeriodicalId":311436,"journal":{"name":"Journal of Emerging Technologies in Web Intelligence","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123657470","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}

{"title":"Modeling and Simulation of Efficient Cluster Based Manhattan Mobility Model for Vehicular Communication","authors":"B. Ramakrishan, M. Joe, R. Nishanth","doi":"10.4304/JETWI.6.2.253-261","DOIUrl":"https://doi.org/10.4304/JETWI.6.2.253-261","url":null,"abstract":"Pattern design plays a vital role in establishing network communication in Ad-hoc network scenario. The real challenge to the researchers is designing the communication architecture to vehicular network. Vehicular network architecture design is difficult, since the movement of the vehicle speed is high. The existing vehicular network architecture forms the network communication but the communication is not reliable and the message transmission time is high. However a new architecture design is required to establish fair network communication among vehicles. This paper presents a novel cluster based vehicular network architecture for Manhattan Mobility Model and the proposed model is analyzed with various routing protocols. The result and analysis of the proposed model show clearly that the Cluster based Manhattan Mobility Model produces reliable communication. The proposed Cluster scheme reduces the message transmission time obviously.","PeriodicalId":311436,"journal":{"name":"Journal of Emerging Technologies in Web Intelligence","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114786881","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}

{"title":"Formal Concept Analysis Based Corrective Ap- proach Using Query-log for Web Page Classifica- tion","authors":"Abdelbadie Belmouhcine, M. Benkhalifa","doi":"10.4304/JETWI.6.2.200-209","DOIUrl":"https://doi.org/10.4304/JETWI.6.2.200-209","url":null,"abstract":"Web page classification has many applications and plays a vital role in web mining and semantic web. Web pages contain much irrelevant information that does not reflect their categories or topics, and operates as noise in the process of their classification, especially when using a text classifier. Thus, the use of information from related web pages can help to overcome the problem of noisy content and to get a better result after the classification. Web pages are linked either directly by hyperlinks or indirectly by us- er's intuitive judgment. In this work, we suggest a post clas- sification corrective method that uses the query-log to build an implicit neighborhood, and collectively propagate classes over web pages of that neighborhood. This collective propa- gation helps improving text classifier results by correcting wrongly assigned categories. Our technique operates in four steps. In the first step, it builds a weighted graph called ini- tial graph, whose vertices are web pages and edges are im- plicit links. In the second step, it uses a text classifier to de- termine classes of all web pages represented by vertices in the initial graph. In the third step, it constructs clusters of web pages using Formal Concept Analysis. Then, it applies a first adjustment of classes called Internal Propagation of Categories (IPC). In the final step, it performs a second adjustment of classes called External Propagation of Cate- gories (EPC). This adjustment leads to significant improve- ments of results provided by the text classifier. We conduct our experiments using five classifiers: SVM (Support Vector Machine), NB (Naive Bayes), KNN (K Nearest Neighbors), ICA (Iterative classification algorithm) based on SVM and ICA based on NB, on four subsets of ODP (Open Directory Project). We also compare our approach to Classification using Linked Neighborhood (CLN) considered as the closest algorithm to EPC. Results show that: (1) when applied after SVM, NB, KNN or ICA classification, IPC followed by EPC help bringing improvements on results. (2) F1 scores pro- vided by our approach with any of the five classifiers are significantly better than those obtained by CLN. (3) The performance provided by our proposed approach grows proportionally to the size of the query-log, and to the density of the weighted graph.","PeriodicalId":311436,"journal":{"name":"Journal of Emerging Technologies in Web Intelligence","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115255919","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}

{"title":"An Attack Tree Based Comprehensive Framework for the Risk and Security Assessment of VANET using the Concepts of Game Theory and Fuzzy Logic","authors":"S. Garg, G. Aujla","doi":"10.4304/JETWI.6.2.247-252","DOIUrl":"https://doi.org/10.4304/JETWI.6.2.247-252","url":null,"abstract":"VANET is a subclass of MANET that faces plenty of research challenges in terms of security. The existing risk and security analysis approach of VANET may not work well as it is purely based on the ideological beliefs, and it does not reflect any realistic conditions. In this research work, we have done the systematic study of the various algorithms which are used to find the inflection points of equilibrium that further reflects a trade-off between the attacker and the defender's gain or loss payoff for pursuing their pursuit. This paper explores and discusses the usage of game theory and fuzzy logic in analysis of the attack and defense equilibrium. After doing this research work we have also recommended the future directives for doing research in this area.","PeriodicalId":311436,"journal":{"name":"Journal of Emerging Technologies in Web Intelligence","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126407703","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}

{"title":"A Survey on Various Optimization Techniques to Retrieve Text and Images","authors":"A. Vijendran, C. Deepa","doi":"10.4304/JETWI.6.2.169-173","DOIUrl":"https://doi.org/10.4304/JETWI.6.2.169-173","url":null,"abstract":"The traditional image retrieval approach allows users to create, share and comment media on a large scale. The large scale data not only promote users in sharing and organizing multimedia data, but provide useful information to develop multimedia retrieval in terms of text, images and all other forms. Numerous studies have been developed to effectively meet the user’s requirements for the past few decades. There are various ranking methods developed to deal with the image and text retrieval systems. A user’s request is taken to generate a rank list based on various features of text and images, including, content, texture, shape and color. The central contention is handled by a semantic search and by providing re-ranking procedure. In this survey, various approaches for retrieving text and images using various retrieval systems, semantic search and ranking based techniques are discussed.","PeriodicalId":311436,"journal":{"name":"Journal of Emerging Technologies in Web Intelligence","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122595344","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}