Current Issue : April - June Volume : 2015 Issue Number : 2 Articles : 6 Articles
In this multidisciplinary study, the main research question was how to improve the value of entrepreneurial\ninitiatives that provide the web service of automatic accompaniment to Arab singing.\nAs an example and case study, we considered the Mawaweel website that offered an automatic\naccompaniment to Arab vocal improvisation as a main service. After over viewing the website, we\nconducted a survey examining the satisfaction of its visitors in regard to presentation and quality\nof service. It was found that the Mawaweel website had potential to achieve success as the majority\nof the 22 respondents expressed general satisfaction after their first visit to the website, with an\naverage rate of 75%. However, respondents� ratings were strict when discussing specific aspects\nabout the website presentation and service quality, and the means of average rates were 68.32%\nand 50.23% respectively. The standard deviations of average rates were 15.70% and 19.13%, respectively.\nThis revealed a sense of inhomogeneity in the values of the different aspects of the\nwebsite presentation, and an expanded sense of inhomogeneity in the quality of the different services\ndelivered by the website. We then compared the Mawaweel website to other websites and\nproposed specific improvements to the aspects with average rate below 50%....
Electronic government (e-Government) in its simplest form can mean using information and communication\ntechnology (ICT) tools to provide services to citizens. Still with the huge benefits and\nsynergies that e-Government grants to governments and societies, it faces many obstacles and\nchallenges. Therefore, there are always a number of critical success factors and risks associated\nwith e-Government. This paper highlights some of the key ones; it critically assesses key factors\nthat influence e-Government services adoption and diffusion. Thus, the aim of this study is to examine\nand identify the factors that influence and affect the utilization of e-Government in the developing\ncountries, specifically in Jordan. Furthermore, this article investigates the challenges and\nbarriers that must be overcome in order to successfully implement e-Government in Jordan. Semistructured\ninterviews were conducted and used in this study to collect the data. The results of this\nstudy show that the most significant challenges and factors influencing the implementation of e-\nGovernment services in Jordan are related to budgeting and financial costs, human expertise, social\ninfluence, technological issues, lack of awareness, resistance of public employees, data privacy\nand security, the legal framework, the needed technology, administrative obstacles, and trust or\nbelieving in e-Government. Conclusions, recommendations and future work are stated at the end\nof the paper....
Objective: To discuss a method to establish a three-dimensional model of healthy human knee\njoint, which can be used for further knee joint biomechanics analysis and simulation. Methods: CT\nscan and medical image three-dimensional reconstruction software (Mimics) were used to obtain the\nknee joint three-dimensional finite element model (FEM) according to reverse engineering theory.\nResults: FEM of knee joint with complete bone structure was established by Mimics. Conclusion:\nThree-dimensional FEM was established according to CT images exports as IGES file. The model\ncan be used for knee joint biomechanics finite element analysis to provide references and proposals\nfor the clinical diagnoses of knee joint illness, and the design of artificial knee joint prosthesis....
Making events recognition more reliable under complex environment is one of the most important\nchallenges for the intelligent recognition system to the ticket gate in the urban rapid rail transit.\nThe motion objects passing through the ticket gate could be described as a series of moving sequences\ngot by sensors that located in the walkway side of the ticket gate. This paper presents a\nrobust method to detect some classes of events of ticket gate in the urban rapid rail transit. Diffused\nreflectance infrared sensors are used to collect signals. In this paper, the motion objects are\nhere referred to passenger(s) or (and) luggage(s), for which are of frequent occurrences in the\nticket gate of the urban railway traffic. Specifically, this paper makes two main contributions: 1)\nThe proposed recognition method could be used to identify several events, including the event of\none person passing through the ticket gate, the event of two consecutive passengers passing\nthrough the ticket gate without a big gap between them, and the event of a passenger walking\nthrough the ticket gate pulling a suitcase; 2) The moving time sequence matrix is transformed into\na one-dimensional vector as the feature descriptor. Deep learning (DL), back propagation neural\nnetwork (BP), and support vector machine (SVM) are applied to recognize the events respectively.\nBP has been proved to have a higher recognition rate compared to other methods. In order to implement\nthe three algorithms, a data set is built which includes 150 samples of all kinds of events\nfrom the practical tests. Experiments show the effectiveness of the proposed methods....
Assessment is an important part of learning process. It can be defined as the process of gathering\ninformation for the purpose of making judgments about a current state of affairs presumably for\nthe purpose of enhancing future outcomes [1]. It determines whether or not the goals of education\nare being met. Typically, most assessment tools give a numerical score as the result of the assessment.\nThis may not be enough to improve the student�s progress. In this paper we defined main\nproblems in current assessment tools and proposed a new assessment model that uses notions in\nknowledge space theory to overcome the shortage of the current assessment models. The experiment\nresult showed that this new prototype made the assessment process easier and more effective.\nHowever, assessment affects decisions about grades, instructional needs and curriculum.\nThis is an important phase of the learning process being showed in this paper in knowledge states\nframework. Future research will focus on making the tool behave intelligently to improve students�\nlearning momentum....
The concept of Webpage visibility is usually linked to search engine optimization (SEO), and it is\nbased on global in-link metric [1]. SEO is the process of designing Webpages to optimize its potential\nto rank high on search engines, preferably on the first page of the results page. The purpose of\nthis research study is to analyze the influence of local geographical area, in terms of cultural values,\nand the effect of local society keywords in increasing Website visibility. Websites were analyzed\nby accessing the source code of their homepages through Google Chrome browser. Statistical\nanalysis methods were selected to assess and analyze the results of the SEO and search engine visibility\n(SEV). The results obtained suggest that the development of Web indicators to be included\nshould consider a local idea of visibility, and consider a certain geographical context. The geographical\nregion that the researchers are considering in this research is the Hashemite kingdom of\nJordan (HKJ). The results obtained also suggest that the use of social culture keywords leads to increase\nthe Website visibility in search engines as well as localizes the search area such as google.jo,\nwhich localizes the search for HKJ....
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