Establishing the Preponderance among the Challenges Facing the Implementation of Online Learning in Higher Learning Institutions

Advancement in Information and Communication Technology (ICTs) can be used to improve delivery of education in higher learning institutions, especially in poor countries. Numerous universities in the world are turning to the use of ICTs to improve the provision and quality of education. Despite these facts, the situation in Tanzania is different. A number of factors have been named as contributors to the ineffective use of ICTs in university education. This study resurveys the main intervening factors. Using the method of logical analysis to derive their course-effect relationships, the direction towards improving the situation is suggested. It was found that, the main obstacle to effective adaptation of online learning in Higher Learning Institutions (HLIs) is the lack of awareness, which leads to lack of management support and poor policy which leads to general neglect of the approach.

Image Super-resolution with Improved Wiener Restoration and Simultaneous Edge Enhancement

Automating the Lower and Higher Normal Form Process for the Database Systems

Prolong the Life time of Network using Minimum Energy Consumption in MANET

Using KNN Method for Educational and Vocational Guidance

This paper presents a decision support tool for educational and vocational guidance, based on the supervised classification method k-nearest neighbors (KNN). This method consists in determining, for each new observation to be classified, the list of nearest neighbors of the observations already classified. The use of the KNN method requires choosing a distance and the most classical one is the Euclidean distance. In the context of this work, two functions were tested to measure resemblance as far as similarity and dissimilarity are concerned. General Terms Educational and vocational guidance, k-nearest neighbors, similarity, dissimilarity

An Algorithm for Accurate Taillight Detection at Night

Vehicle detection is an important process of many advance driver assistance system (ADAS) such as forward collision avoidance, Time to collision (TTC) and Intelligence headlight control (IHC). This paper presents a new algorithm to detect a vehicle ahead by using taillight pair. First, the proposed method extracts taillight candidate regions by filtering taillight colour regions and applying morphological operations. Second, pairing each candidates and pair symmetry analysis steps are implemented in order to have taillight positions. The aim of this work is to improve the accuracy of taillight detection at night with many bright spot candidates from streetlamps and other factors from complex scenes. Experiments on still images dataset show that the proposed algorithm can improve the taillight detection accuracy rate and robust under limited light images

Novel Classification of Test Case Prioritization Techniques

reduce the cost of regression testing and to maximize some objective function. Test cases are prioritized such that those test cases which are more important under some criteria are executed earlier in regression testing process. The various objective functions are applicable as a metric of how rapidly faults are discovered during the testing process like rate of fault detection. Therefore, prioritization techniques are effective when implemented for specific instances. In this paper, a novel classification for test case prioritization is made which may cover every concept or measure and contribute for improvement of regression testing process. General Terms Regression testing: Test suites are saved so that they can be reused after the evolution of the software. This reuse of test suite is called the regression testing.

Social Commerce Hybrid Product Recommender

vision for Web 3.0 (also known as Semantic Web) is the ability to create meaning out of huge quantity of qualitative data. Existing data can be interconnected for further uses. Web 2.0 focused on the users interaction with others whereas Web 3.0 focus more on the users themselves. The advantages of Semantic Web and E-commerce give rise to social commerce (also referred as f-commerce). The future of business lies on the "social" factor and it is this factor which gives rise to a new kind of connected consumers who are becoming influential in their own right. This paper explores a very specific instance of Semantic Web - Social Recommender System. This paper discusses the likelihood of converting social data into quantitative information and using this information to power social recommendations. This paper first outlines the benefits of social commerce over e- commerce platform. Then the related literature work regarding hybrid recommenders is discussed. Next it is discussed how to predict ratings from a user-item rating network and friend's network and then how to unify similarity matrices obtained from different networks. And lastly this paper covers the social hybrid product recommender algorithm and its experimental evaluations to predict its efficiency. Keywordscommerce, hybrid product recommender, f-commerce, homophily, Cosine similarity, Smith Waterman string similarity measure, unipartite graph, bipartite graph

Shortest Paths between two Points in Space for Self Managed Digital Systems

In this paper, It has been proved that there can be more than one shortest path between two different points in space for self managed digital systems with finite memory space. Also, a formula has been given, that can be used to find total number of different paths between given two points.

Review on STBC coded MISO and MIMO in Frequency Selective Wireless Fading Channel

Diversity methods offer the receiver with separately faded copies of the transmitted signal with the expectation that at least one of these replicas will be received properly. There are ranges of techniques available during which these faded copies can be recovered and used as part of preparations for better reception. Transmit diversity uses multiple transmit antennas to offer the receiver with multiple uncorrelated replicas of the transmitted signal. The advantage is that the difficulty of having multiple antennas is located on the transmitter, which can be common among many receivers for the downlink of a wireless system, even as still providing diversity benefits. This technology is called as MIMO system. Hence the multipath fading channels are measured as an advantage scenario in MIMO. This is the most preferred technique in fourth generation cellular communication, as higher data rates can be achieved. Our objective is to review concatenating various error control codes in the MIMO setting using BER and EDR as performance indicators.