Method for English pronunciation practice utilizing Computer Graphics: CG animation representing tongue movements together with mouse movements is proposed. Pronunciation practice system based on personalized CG animation of mouth movement model is proposed. The system enables a learner to practice pronunciation by looking at personalized CG animations of mouth movement model , and allows him/her to compare them with his/her own mouth movements. In order to evaluate the effectiveness of the system by using personalized CG animation of mouth movement model, Japanese vowel and consonant sounds were read by 8 infants before and after practicing with the proposed system, and their pronunciations were examined. Remarkable improvement on their pronunciations is confirmed through a comparison to their pronunciation without the proposed system based on identification test by subjective basis. In addition to the mouth movement, tongue movement is represented by CG animation. Experimental results show 20 to 40 % improvement is confirmed by adding tongue movements for pronunciations of “s” and “th”.

Regression testing is a process that executes subset of tests that have already been conducted to ensure that changes have not propagated unintended side effects. Test case prioritization aims at reordering the regression test suit based on certain criteria, so that the test cases with higher priority can be executed first rather than those with lower priority. In this paper, a new approach for test case prioritization has been proposed which is based on a module-coupling effect that considers the module-coupling value for the purpose of prioritizing the modules in the software so that critical modules can be identified which in turn will find the prioritized set of test cases. In this way there will be high percentage of detecting critical errors that have been propagated to other modules due to any change in a module. The proposed approach has been evaluated with a case study of software consisting of ten modules.

The use of wind turbines based on induction generator is very popular to generate electrical power and it has been noted by researchers because of its many advantages compared to conventional methods of electrical energy generation. Factors of uncertainty in the nature of the wind cause variable voltage in amplitude and frequency on the induction generator. It is not appropriate to apply such voltage to the load. So a controller must be designed to be kept constant voltage and frequency. In this paper, a fuzzy controller is used as state feedback to stabilize the voltage, frequency and voltage amplitude. The variable AC voltage generated by generator is converted by rectifier to a variable DC voltage. The variable DC voltage causes a change in the output voltage of the inverter. The PWM switching property is used to stabilize frequency and state feedback is used to stabilize the output voltage amplitude. The obtained error signal with its derivative is applied to the fuzzy controller as input to generate the considered control signal by controller to generate appropriate firing pulses to apply to PWM inverter. Therefore, frequency and amplitude of the output voltage is kept constant with switching control and so maximum power of wind is resulted. Simulation results show that by design the appropriate controller for the considered system output voltage can be stabilized in constant amplitude and frequency.

The rapid advancement of fully online courses has made education accessible from “anywhere” and “anytime”. One of the major success factors of online courses is effective student - content interaction - which defines how students interact with the content in the fully online learning environment. However, there appears to have been little research published about the relationship of content to course design and consequent outcomes for students. In this article, we report on our research on the investigation of factors that affect student - content interaction in fully online computing courses. We have conducted our research through surveys and used a grounded theoretic approach for data analysis. Our results identify the factors that are perceived by students as critical in ensuring effective student - content interaction in fully online computing courses.

In the age of pervasive internet where people are communicating, networking, buying, paying bills, managing their health and finances over the internet, where sensors and machines are tracking real-time information and communicating with each other, it is but natural that big data will be generated and analyzed for the purpose of “smart business” and “personalization”. Today storage is no longer a bottleneck and the benefit of analysis outweighs the cost of making user profiling omnipresent. However, this brings with it several privacy challenges – risk of privacy disclosure without consent, unsolicited advertising, unwanted exposure of sensitive information and unwarranted attention by malicious interests. We survey privacy risks associated with personalization in Web Search, Social Networking, Healthcare, Mobility, Wearable Technology and Internet of Things. The article reviews current privacy challenges, existing privacy preserving solutions and their limitations. We conclude with a discussion on future work in user controlled privacy preservation and selective personalization, particularly in the domain of search engines.

Teaching and learning Methodologies in technical and engineering education has high impact on attainment of Graduate attributes. Studies have proved that class room teaching with mere usage of Black board (BB) and audio visual presentations doesn’t effectively involve the student completely in learning. Also evaluation and assessment with midterm exams and end term exams may not give the complete picture of student learning progress. In fact in today’s outcome based education the attainment of course learning outcomes require student centered teaching learning procedures and a continuous evaluation procedure. In this paper Focus question based Inquiry based learning an active teaching learning procedure also student centered is discussed. Also how this method is used for continuous assessment is also explained. It is successfully implemented to under graduate and post graduate students of Computer science and Information technology of engineering college, and the results are presented.

Semantic annotation is the process of adding semantic metadata to resources. Semantic metadata is data concerning the meaning of entities and the relationships that exist. Semantic annotation cannot be performed without an ontology suitable for the task. In this research paper, we describe the design, implementation, and evaluation of a lexical ontology for Arabic semantic relations. The main purpose of the ontology is to facilitate the task of semantic annotation of the Arabic textual content. The ontology was evaluated for usability and usefulness using a prototype system for the automated semantic annotation of Arabic text. The results of the evaluation indicated that the ontology was fit for the purpose of semantic annotation of Arabic text with lexical relations. The evaluation has also revealed important findings and recommendations for designing Arabic semantic annotation tools.

Cloud computing is the stage for a choice of services like software, infrastructure as a cloud service and each person wants to have the benefit of that cloud services using the cloud computing concept, which ultimately increases the data size and loaded records on cloud servers. Due to increased number of files on the cloud database the retrieval of files becomes much more time consuming and complex. Also this file retrieval doesn’t ensure the exact retrieval of files from the storage. Besides, the privacy apprehensions affect to the appropriate documents regained by the cloud user in the afterward phase in view of the fact that they may also enclose sensitive data and make known information about sensitive exploration words or phrase. Here in this paper an efficient approach of power consumption using scheduling of resources is implemented.