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The development of macroporous PEG-based hydrogel scaffolds for soft tissue implantation was investigated. It is aimed that the incorporation of several types of biofactors, particularly extracellular matrices (e.g., Matrigel and Myogel) into the hydrogel scaffolds will induce the formation of adipoctyes and therefore will have potential in breast reconstruction application. This is due to the promising...
XML databases are widely used in many different areas. They are multi user systems and can store a huge amount of data. Sensitive and important data need to be protected and stored securely. We have developed a dynamic trust based access control for XML databases to improve the security level and prevent malicious transactions from both internal and external users. Our system tracks user history of...
Whole brain tractography generates a very huge dataset composed by various tracts of different shapes, lengths, positions. Then clustering them into anatomically meaningful bundles is a challenge. Until now, several clustering methods have been proposed such as methods based on similarity measures or methods based on anatomical information, but no optimal clustering criteria were found yet. All methods...
With the rapid growth of the number of papers, the traditional methods of searching papers by scholar search engine are becoming unacceptable. These methods can't meet the needs of users and users still need to take a lot of time to filter the search results. To solve the problem, this paper uses the concepts and methods of community partition and introduces a model to recommend authoritative papers...
The Online reviews provided for a product enables web user to make decisions appropriately. These reviews may be positive, negative or neutral in nature. Analyzing and classifying such product reviews have attracted reasonable interest. It has become quite hard to make decisions since we aren't able to obtain the decisions quickly. Hence it is required to classify the reviews from balanced data sets...
Recent years have witnessed the explosive growth of recommender systems in various exciting application domains such as electronic commerce, social networking, and location-based services. A great many algorithms have been proposed to improve the accuracy of recommendation, but until recently the long tail problem rising from inadequate recommendation of niche items is recognized as a real challenge...
Link prediction is an important issue in Social Network Analysis area. Most of the existing link prediction methods aim to find the missing links or to predict the future links mainly based on a static network, ignoring the evolution of the network over time. This paper proposes a link prediction method that can learn from network dynamics. Using machine learning techniques, the method models the...
Higher order information includes k-nearestneighbor information and k-order region information that are of great importance when the first order or lower order information is not functioning. Despite of the importance of direction in spatio-temporal analysis, directional higher order information has received almost no attention. This paper introduces a new directional higher order information dissimilarity...
This article explores cooperation of different mathematical models in the same system if the Particle Swarm Optimization (PSO) method is used for system parameter identification. Four different realistic system mathematical models of the second order were used to create different state spaces of the agents' positions. All the experiments were evaluated in wide and narrow intervals around the fitness...
This paper proposes one such strategy where the emphasis is on imparting knowledge with the help of technology. The strategy proposes a well balanced combination of directed approaches like vocal explanations, videos and constructivist approaches like interactive flash games, hands on experiments which help to impart knowledge to students. The focus is more on imparting knowledge rather than the extensive...
Problem-based learning (PBL) is a way to learn what is needed to solve a problem, how can a solution be obtained quickly, precisely and professionally. To achieve the goal of problem-based learning, problem design and assign same level of problems among the students are important in engineering classroom environment. SQL is a major part in Database course. In problem based e-Learning of SQL, it is...
Lectures and little emphasis is on student involvement. To enhance the skills of the students/learners they need to be involved in the learning process. This paper describes the use of Process Oriented Guided Inquiry Learning (POGIL) in an engineering and management college in Andhra Pradesh, India. Though POGIL has been developed and validated extensively over the last 15 years in the US, it is quite...
Volunteer cloud computing is a paradigm where idle computing resources owned by a certain user are offered in the cloud to be utilised by others in order to reduce operational costs. Engaging people in volunteer cloud computing is an obstacle which requires novel motivational methods, ideally online. Gamification is a method for increasing people motivation and changing their behaviour towards certain...
User feedback is crucial to improve software quality. For example, it can be used to identify missing features and clarify user trends and preferences for future improvement. However, obtaining user feedback is not a 'one-off' process which requires that developers need to gather user feedback in an on-going approach. The problem lies here: the majority of users are generally lack motivation and interest...
The aim of subspace clustering is to find groups of similar data points in all possible subspaces of a dataset. Since the number of subspaces is exponential in dimensions, subspace clustering is usually computationally very expensive. The performance of existing algorithms deteriorates drastically with the increase in number of dimensions. Most of them use bottom-up search strategy and there are two...
In recent years, the work on expressive styles of speech has increased rather than focusing on basic emotions. The present paper shows the comparison of expressive speech and neutral speech on the basis of pitch and intensity where neutral speech can be further modify to produce expressive style with emotion which is suitable for story telling application. Our approach is to perform an analysis of...
We propose a Cloud Advisor framework that couples two salient features: trustworthiness and transparency measurement. It provides a mechanism to measure trustworthiness based on the history of the cloud provider taking into account evidence support and to measure transparency based on the Cloud Controls Matrix (CCM) framework. The selection process is based on a set of assurance requirements that...
The paper employs gradient dynamics (GD), in addition to Zhang dynamics (ZD), to generate new fractals which are quite different from the conventional Newton fractals (NF). The proposed gradient fractals (GF) have three types. Specifically, via appropriate iterative formulas derived in complex domain, the first-type and second-type fractals are generated, i.e., 1GF and 2GF. By expanding the conventional...
Utilization of semantic web technologies in educational systems is rapidly expanded, bringing new and more efficient teaching and learning capabilities. Semantic Web Based Educational Systems (SWBEs) rely on semantic web technologies and are proved to be more intelligent and personalized to the students learning needs. In this paper, we present a semantic web based adaptive educational system that...
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