Статьи журнала - International Journal of Education and Management Engineering
Все статьи: 590
Version Management by Time Based Approach in Modern Era
Статья научная
Version Management is the most crucial step in Software Configuration Management. The major phases of version management is analysis of changes made, the newer version that holds all the changes is then made available. The existing techniques involve version control by means of file locking and merging of version to control and monitor the use of files and manage the changes made in them, both these approaches have certain shortcomings including loss of changes made and unnecessary delays. Hence, a new technique has been devised, the algorithm of which has been proposed in this paper. This latest model of version control comprises of a mechanism of updates based on time. There is an integration of timer and other controls which make sure that the implementation can be made by more than one user at a time and that none of the modifications are lost. This algorithm of version control has been proposed to refine the process further and open new windows for future research in this area.
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Video e-commerce: large scale online video advertising based on user preference
Статья научная
An advertisement is a notice or announcement in a public medium promoting a product. Advertising plays significant role in the introduction of a new product in the market. It stimulates the people to purchase the product. In this paper, we propose a novel personalized Online Video Advertising System which is presented to recommend product ads from ecommerce sites to users of online video hosting. First we have to find a user preference, so we have to analyze each user’s behavior of ecommerce sites. If the user wants to buy a product, user will spend more time to view the specification at the same time, user clicks that product more number of times to view the specification, price etc. These techniques are used to find the user preference. After collecting each user preference, we have to identify the semantic association between videos and products and construct the association between the key frames and products. A multi view deep learning approach is brought to view item features in different domains. When the User plays the video the user preferred advertisements are shown in the video in proper timestamps. Thus the advertisements are displayed only based on the user’s preference and the user’s will to purchase the desired product. This has been the key feature of our project. Maintaining privacy is one of the major problems for sharing personal information through social sites. Sharing video in social media may lead to unwanted problem and less privacy. As a result we need some tools for secured transmission. For satisfying this need, we propose a system called Adaptive Privacy Policy Prediction (A3P) to enhance privacy settings for user’s data. This system provides a two-level framework for securing the data based on users browsing history on shopping site. It determines the best available privacy policy for users. Our solution relies on image classification which is associated with policies to upload images and also to user's social features. Hence by using this adaptive privacy policy our sharing of shopping and recommended videos can be secured to only desire people.
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Vocal Emotion Recognition Based on HMM and GMM for Mandarin Speech
Статья научная
The recognition of emotions from speech is a challenging issue. In this paper, two Hidden Markov Model-based vocal emotion classifiers are trained and evaluated by an emotional mandarin speech corpus based on Mel-Frequency Cepstral Coefficient features. Up to 6 basic emotion models including angry, fear, happy, sad, neutral and surprise are built under different parameters and the influence of parameter set is investigated. A statistical comparison of the two emotion recognition methods are discussed as well. The overall results reveal that the GMM classifier outperforms HMM classifier taking both computation complexity and recognition rate into consideration with the highest recognition rate of 72.34%.
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Web System Proposal for Control and Monitoring Fleets
Статья научная
Systems for managing and monitoring fleets are of great use nowadays due to their ability of controlling and visualizing in maps the routes assigned to their fleets with GPS (Global Positioning Systems) devices. These systems provide lot of usability to their environments because they improve the way that the workers utilize vehicles in fleets. They have helped the enterprises to detect delayed deliveries, routes detours, urgent maintenance reports and oil saving. In Cuba the system used by majority of enterprises was one that does not make route monitoring during vehicles trip making almost impossible to control if there was any inconvenience during the trajectory of the vehicle, causing the loss of several minutes and even hours to help the broken vehicle to get back in service again. In this paper a proposal to fix this is made by using coordinates taken from a GPS device and stored in KML or GPRMC format files. The system besides will allow supervisors the creation of routes and areas assigned to vehicles in fleets, in which the behavior of the vehicle will be reflected lunching alarms when the vehicle incurs in detouring problem and even in an over - speed problem. Also all the irregularities detected during a movement of vehicle will be registered in a database for supervisor revising purpouses.
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Web clustering based prefetching in high traffic environment
Статья научная
The need of minimizing the latency perceived by the user in fetching web objects without necessarily increasing the bandwidth has attracted several researchers in the recent years. Although web prefetching and caching is seen as a solution, proposed techniques do not consider the frequency of server idle time in their models. This paper therefore proposes a short time web prefetching framework based on clustering technique that can be effective in high traffic with low bandwidth environment where the server idle time is too minimal to fetch all users anticipated requests. Clusters from different user requests are used to perform an inter domain clustering that prioritizes the prefetching of web pages based on speed at which requests are received from each domain and the popularity of each page. Experimental results show an improvement in hit rate and precision over the classical clustering based prefetching technique when the server idle time is not enough to prefetch all clusters.
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Website Design and Maintenance of University PE Excellent Courses Based on Web Technique
Статья научная
The university PE excellent courses set the model and are playing the radiative role in terms of sharing the excellent teaching resources, excellent teaching results, fostering the course construction and teaching reform among universities and enhancing the teaching quality. This article, through integration of multi-media and web technique, proper design of website modules and proper selection of web-creation software, exploits and employs the websites of university PE excellent courses, and suggestions are offered on their maintenance and renewal.
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Wind Power Turbine and Its Aerodynamic Characteristics
Статья научная
We have mainly studied wind power turbine’s aerodynamic characteristics in this paper. We first introduced the types of wind power turbines, and then analyzed the force on the vanes which caused by air flow. We also studied the geometry shape of vanes’ type and its aerodynamic characteristics. At last, we concluded the corresponding formulas about wind power turbine’s aerodynamic characteristics. All what we have studied have important role to design wind power turbine’s vanes.
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Word Clustering as a Feature for Arabic Sentiment Classification
Статья научная
Rich morphology language, such as Arabic, requires more investigation and methods targeted toward improving the sentiment analysis task. An example of external knowledge that may provide some semantic relationships within the text is the word clustering technique. This article demonstrates the ongoing work that utilizes word clustering when conducting Arabic sentiment analysis. Our proposed method employs supervised sentiment classification by enriching the feature space model with word cluster information. In addition, the experiments and evaluations that were conducted in this study demonstrated that by combining the clustering feature with sentiment analysis for Arabic, this improved the performance of the classifier.
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Work-Integrated Teaching Mode Based on An E-learning Platform
Статья научная
In work-integrated learning, students leave teachers to practice on work placement, but the teachers can still use e-learning to monitor student through an e-learning platform and it allows students to actively learn the theoretical knowledge. Work-integrated e-learning (WIEL) is a new research field, focusing on learning processes concerning both employees and organizations, using e-learning as a way of gaining new knowledge relevant for the work process. Learning at work is more multidimensional learning compared to educational institutions.
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design and development of Real-Time E-Voting system with high security features
Статья научная
In this day and age of developing cutting edge innovations, the traditional voting technique can be changed to a more up to date and powerful approach termed as electronic voting system. The electronic voting system gives a helpful, simple and proficient approach to cast a ballot eliminating the shortcomings of traditional approach. The point of this research work is to exhibit an electronic voting system (E-Voting) to be connected to organization constituent body. A software application was developed utilizing web API’s and the concept of Dynamic systems development method (DSDM) used with object-oriented methodology for the development of the application.
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