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Mapping games and gaming style with learning goals and style

Mapping games and gaming style with learning goals and style

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作者： Aleksieva-Petrova, Adelina Petrov, Milen Faculty of Computer Systems and Control Technical University - Sofia Kl. Ohridski Str. 8 Sofia Bulgaria Department of Software Engineering Sofia University J. Boucher 5 Blvd. Sofia Bulgaria

ISBN: (纸本)9789898425157

In the era of e-services such as e-learning, e-government, e-business, etc. enhancing such services and adapting them to one's personal needs is a very promising way for the user to benefit even further from them. As a step forward in the development of adaptive learning systems with integrated game elements it is first necessary to review different types of games and their characteristics. Moreover, it is important to take into account gaming styles as well as to summarize the processes of learning and playing by mapping learning styles corresponding to different gaming styles. This paper attempts to investigate and describe different gaming issues as a first step toward building a software framework for the integration of game elements utilized in e-learning.

关键词： Mapping

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XML Element Recommendation by Semantic Ranking

XML Element Recommendation by Semantic Ranking

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International Conference on computer and Automation engineering

作者： Sutheetutt Vacharaskunee Sarun Intakosum Software Systems Engineering Laboratory Department of Mathematics and Computer Science Faculty of Science King Mongkut's Institute of Technology Ladkrabang

ISBN: (纸本)9781424455690

From the strong point of XML that allows document owners to describe their documents in their own format, it is difficult to search information if those XML documents use different formats. Moreover, users might not retrieve all relevant information from differently formatted XML documents. To allow users to retrieve all relevant results, users need to have as many as queries for all possible formats. SXER (Semantic Ranking for XML Element Recommendation) is an idea to make XML documents easier for searching. It receives XML document as an input, checks all possible semantics for each element, and checks those semantic elements to find which element (word) should be used. The output is a recommendation for each element of input XML document.

关键词： Semantic Ranking for XML Element Recommendation XML WordCount WordNet

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Application of clickstream analysis as Web page importance metric in parallel crawlers

Application of clickstream analysis as Web page importance m...

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International Symposium on Information Technology, ITSim

作者： Ali Selamat Fatemeh Ahmadi-Abkenari Intelligent Software Engineering Laboratory Faculty of Computer Science & Information Systems Universiti Teknologi Malaysia Skudai Skudai Johor Malaysia

Employing a parallel crawler as a multi processes crawler causes different issues of concern in comparison to applying a single-process crawler. These issues impact on achieving the results with higher or even the same quality from a parallel crawler in comparison to a centralized one. Existed parallel crawlers' architectures employ link dependant metrics - such as Backlink count or PageRank - for URL importance determination in order to prioritize the queue of each process. Then the specific number of the most important pages is sent to the index section of the crawler for further processing on their content. Application of metrics with link dependent nature causes considerable overhead on the overall parallel crawler resulted from the link information exchange among different processes. In this paper we propose the application of clickstream analysis as a link independent Web page importance metric in a parallel crawler. Our approach includes proposing an algorithm for a balanced performance of different processes within a parallel crawler which results in the discovery of higher quality pages by the overall parallel crawler with less overhead in comparison to a centralized crawler which employs link dependant metrics of importance.

关键词： Crawlers Measurement Web pages Mathematical model Equations Fires

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Epilepsy Control by Prayer Type Yoga Exercise

Epilepsy Control by Prayer Type Yoga Exercise

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International Conference on computer Research and Development (ICCRD)

作者： Nawsher Khan Noraziah Ahmad A.H. Beg Elrasheed I. Ismail Ahmed N Abd Alla Muhammad Nubli Faculty of Computer Systems & Software Engineering Universiti Malaysia Pahang Malaysia Faculty of Electric & Electronics Engineering Universiti Malaysia Pahang Malaysia Faculty of Technology Management Universiti Malaysia Pahang Malaysia

ISBN: (纸本)9781424469925;9780769540436

Epilepsy is caused by sudden flurries of electrochemical activity in the brain, which interrupt the 'conversation' among neurons. Consciousness, memory, sense, speech, mood, movement, and motions can all be affected during the one or two minutes that the seizure lasts. Walking, jogging, running and stationary bicycling are particularly safe, but especially "Prayer type yoga exercise" clearly benefits epileptic inhabitants to control epilepsy because it often reduces seizure frequency, relieves depression, decreases social segregation, and promotes cardiac and general health. This paper proposes the study about yoga "Prayer", which is not really an exercise but similar to yoga, helping in controlling of epilepsy and also physically, mentally, spiritually relaxation can also be achieved through this method. Spiritual religious believe and practices have an important impact on both physical and mental health.

关键词： Epilepsy Frequency Control systems Mood Legged locomotion Cardiology Research and development software engineering Technology management Neurons

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Business Rules Discovery from Process Design Repositories

Business Rules Discovery from Process Design Repositories

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IEEE World Congress on Services (SERVICES)

作者： Jantima Polpinij Aditya K. Ghose Hoa Khanh Dam Decision Systems Laboratory (DSL) School of Computer Science and Software Engineering (SCSSE) Faculty of Informatics University of Wollongong Wollongong NSW Australia

Traditional process mining approaches focus on extracting process constraints or business rules from repositories of process instances. In this context, process designs or process models tend to be overlooked although they contain information that are valuable for the process of discovering business rules. This paper will propose an alternative approach to process mining in terms of using process designs as the mining resources. We propose a number of techniques for extracting business rules from repositories of business process designs or models, leveraging the well-known Apriori algorithm. Such business rules are then used as a prior knowledge for further analysing, verifying, and modifying process designs.

关键词： Process design Association rules Algorithm design and analysis Organizations Logic gates

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Towards a Metrics Suite for Measuring Composite Service Granularity Level Appropriateness

Towards a Metrics Suite for Measuring Composite Service Gran...

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IEEE World Congress on Services (SERVICES)

作者： A. Khoshkbarforoushha R. Tabein P. Jamshidi F. Shams Automated Software Engineering Research Group Electrical and Computer Engineering Faculty Shahid Beheshti University Tehran Iran Department of Computer and Systems Sciences Royal Institute of Technology Stockholm Sweden

One of the prominent principles of designing services is the matter of how abstract services should be i.e. granularity. Since service-oriented analysis and design methods lack on providing a quantitative model for service granularity level evaluation, identification of optimally granular services is the key challenge in service-oriented solution development. This article through a systematic process proposes a model namely Weighted Granularity Level Appropriateness (WGLA) which leverages and consolidates four metrics to constitute quantitative basis for granularity appropriateness analysis. These metrics are, indeed, the four quantified attributes of service granularity including business value, reusability, context-independency, and complexity. Our preliminary controlled experiment confirms the correctness of the quantitative model. In fact, by adopting WGLA metric, service granularity appropriateness analysis could be conduct quantitatively that leads to realize an optimized service-oriented solution in terms of its granularity.

关键词： Business Measurement Complexity theory Analytical models Service oriented architecture software

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Comparing performances of logistic regression, decision trees, and neural networks for classifying heart disease patients

Comparing performances of logistic regression, decision tree...

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computer Information systems and Industrial Management Applications (CISIM)

作者： Anchana Khemphila Veera Boonjing Software Systems Engineering Laboratory Department of Mathematics and Computer Science Faculty of Science King Mongkut's Institute of Technology Ladkrabang Bangkok Thailand

In this study, performances of classification techniques were compared in order to predict the presence of the patients getting a heart disease. A retrospective analysis was performed in 303 subjects. We compared the performance of logistic regression(LR), decision trees(DTs), and Artificial neural networks (ANNs). The variables were medical profiles are age, Sex, Chest Pain Type, Blood Pressure, Cholesterol, Fasting Blood Sugar, Resting ECG, Maximum Heart Rate, Induced Angina, Ole Peak, Slope, Number Colored Vessels, Thal and Concept Class. We have created the model using logistic regression classifiers, artificial neural networks and decision trees that they are often used for classification problems. Performances of classification techniques were compared using lift chart and error rates. In the result, artificial neural networks have the greatest area between the model curve and the baseline curve. The error rates are 0.22, 0.198, 0.21, respectively for logistic regression, artificial neural networks and decision trees. The neural networks exhibited sensitivity of 81.1%, specificity of 78.7% and accuracy of 80.2%, while the decision tree provided the prediction performance with a sensitivity, specificity and accuracy of 81.7%, 76.0% and 79.3%. And the logistic regression provided the prediction performance with a sensitivity, specificity and accuracy of 81.2%,73.1% and 77.7% Artificial neural networks have the least of error rate and has the highest accuracy, therefore Artificial neural networks is the best technique to classify in this data set.

关键词： Artificial neural networks Heart Logistics Regression tree analysis Data models Data mining

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XML Path Matching for Different Hierarchy Order of Elements in XML Documents

XML Path Matching for Different Hierarchy Order of Elements ...

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ACIS International Conference on software engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing (SNPD)

作者： Sutheetutt Vacharaskunee Sarun Intakosum Department of Mathematics and Computer Science Faculty of Science Software Systems Engineering Laboratory King Mongkut''s Institute of Technology Ladkrabang Bangkok Thailand

ISBN: (纸本)9781424474226;9780769540887

XML documents allow document owners to create their documents in their own formats (element names and structure). The same information might be described in several ways. To find the similarity between XML documents which use different formats, one method is path similarity detection. The recently approach is PathSim. The previous approach can detect the similarity rate between two XML paths in case those two XML paths are in the same hierarchy order of elements that are semantic with each other. If XML documents use different elements hierarchy order, that approach has a low similarity rate. To improve the previous approach, PathMatch is introduced. PathMatch uses the edit distance algorithm to find the semantic similarity rate between element names and a cost matrix model to find the similarity rate between two XML paths. On the result, PathMatch has a higher similarity rate than the previous approach in case those two XML paths contain a different hierarchy order of elements that are semantic with each other. Moreover, in case two XML paths contain the same hierarchy order, PathMatch has the same similarity rate as the previous one.

关键词： XML Costs Change detection algorithms software engineering Artificial intelligence Distributed computing software systems systems engineering and theory Laboratories Mathematics

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XER: A Recommendation for XML Element

XER: A Recommendation for XML Element

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International Conference on Information Technology: New Generations (ITNG)

The strong point of the XML is that it allows document owners to describe their documents in their own format (structure and element names). There might be the same information has been describe in various ways. When user wants to search some information from XML documents, user might not retrieve all related results because of the difference of elements (tag names). To retrieve all related results, user needs to have queries for all possible elements. XML Element Recommendation (XER) is an idea to make XML documents easier for searching. It receives XML document as an input and compares that input with XML documents from database. It compares word similarity and semantic of each element. For semantic similarity of each element, it checks those elements to find which element (word) should be used by using word ranking (most common words). The output is a recommendation for each element of input XML document.

关键词： XML Mobile communication Mobile ad hoc networks Routing protocols Ad hoc networks Earthquakes Network topology Motion analysis Vehicle dynamics Costs

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XML Document Recommendation by Using Case Based Reasoning

XML Document Recommendation by Using Case Based Reasoning

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ACIS International Conference on software engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing (SNPD)

作者： Sutheetutt Vacharaskunee Sarun Intakosum Software Systems Engineering Laboratory Department of Mathematics and Computer Science Faculty of Science King Mongkut''s Institute of Technology Ladkrabang Bangkok Thailand

ISBN: (纸本)9781424474226;9780769540887

Case Based Reasoning (CBR) is the process of solving new problem based on the solutions of similar previous problems. XML is a markup language that allows document owners describe their data in their own formats. There might be the same information has been described in various ways. This makes searching those information from different formats difficult. CXDR (CBR for XML Document Recommendation) is an idea to make searching XML documents easier. CXDR applies CBR framework to collect the mostly use XML document and recommend it to its user. CBR in CXDR consists of two parts, cases and knowledge. The case is XML documents and the knowledge is an XML document recommendation. The recommendation from CXDR is the most use XML element names and structure.

关键词： XML Keyword search Information retrieval Markup languages Database languages software engineering Artificial intelligence Distributed computing software systems systems engineering and theory

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