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Applying machine learning using case-based reasoning (CBR) and rule-based reasoning (RBR) approaches to object-oriented application framework documentation

Applying machine learning using case-based reasoning (CBR) a...

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International Conference on Information Technology and Applications, ICITA

作者： H.M. Jani Lee Sai Peck College of Information Technology Universiti Tenaga Malaysia (UNITEN) Kajang Selangor Darul Ehsan Malaysia Department of Software Engineering Faculty of Computer Science and Information Technology University Malaya Kuala Lumpur Malaysia

Several challenges and problems of developing, using and maintaining object-oriented application frameworks have been identified. It was discovered that companies attempting to build or use large-scale reusable framework often fail unless they recognize and resolve challenges such as development effort, learning curve, integratability, maintainability, validation, defect removal, efficiency, and lack of standards. Framework documentation plays a major role in facing the above challenges. It directly affects the learning curve, maintainability, and defect removal aspects of the application frameworks. We have studied various documenting approaches and concluded that the current approaches are not very effective in overcoming the above challenges, especially on the efficiency problem. So, in this paper, we are going to apply machine learning using case-based reasoning (CBR) and rule-based reasoning (RBR) to framework documentation. We come up with a documentation architecture that combines both techniques in order to come up with improved framework documentation.

关键词： Machine learning Documentation Application software Information technology software engineering Java Educational institutions computer science Large scale integration Standards development

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On Development and Evaluation of Prototype Mobile Decision Support for Hospital Triage

On Development and Evaluation of Prototype Mobile Decision S...

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Annual Hawaii International Conference on System Sciences (HICSS)

作者： J.S. Pedro F. Burstein J. Wassertheil N. Arora L. Churilov A. Zaslavsky School of Information Management & Systems Monash University Australia Faculty of Medicine Monash University Australia School of Computer Science and Software Engineering Monash University Australia School of Business Systems Monash University Australia

Ambiguous triage scenarios in hospital emergency departments are often difficult to assess without decision support. Subjective assessments of such scenarios can either lead to under-triaging or over-triaging for which true conditions of patients are often not addressed within the required time. In this paper, we propose a decision support model that can guide a clinician when identifying the urgency of medical intervention when patient presents with ambiguous triage case. Our model is a heuristic approach that selects the best triage category, identifies corresponding discriminating attribute of the patient, and allows clinician to attach a level of confidence in the decision. We implemented this model as a mobile decision support system, called iTriage. Results of an initial evaluation of iTriage using fourteen paper-based adult triage scenarios showed that our model produced robust decisions for urgent scenarios. For non-urgent scenarios, the proposed model provided guidance especially when the scenarios were ambiguously stated.

关键词： Prototypes Hospitals Fingers Australia Pain Helium Health information management computer science software engineering Decision support systems

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Extending Business Process Execution Language for Web Services with Service Level Agreements Expressed in Computational Quality Attributes

Extending Business Process Execution Language for Web Servic...

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Annual Hawaii International Conference on System Sciences (HICSS)

作者： C.K. Fung P.C.K. Hung R.C. Linger G.H. Walton Boeing Phantom Works Mathematics and Computing Technology USA Faculty of Business and Information Institute of Technology University of Ontario Canada Software Engineering Institute Carnegie Mellon University USA Mathematics and Computer Science Department Florida Southern College USA

Quality of Service (QoS) management is critical for service-oriented enterprise architectures because services have different QoS characteristics, requesters have different requirements, and service interactions are decoupled. This paper proposes a QoS Management Architecture for dynamic processing of service- and flow-level quality attributes to support QoS requests and analyses in Web-service-oriented architectures. The architecture is implemented using Business Process Execution Language for Web Services (BPEL4WS), an interoperable integration model that facilitates automated process integration). The proposed approach extends BPEL4WS by integrating it with Web service-level agreements (WSLA) to support QoS and extending the BPEL4WS language to provide a new " " assertion that describes the location of a document's WSLA document. Under the proposed approach, quality attributes are defined, computed, and acted upon as dynamic characteristics of systems, with values constantly changing in operation The feasibility of the proposed approach is demonstrated using an illustrative travel reservation service flow example.

关键词： Web services Quality of service Service oriented architecture computer architecture Mathematics Quality management Delay Resource management Imaging phantoms Information technology

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Dynamic LOD on GPU

Dynamic LOD on GPU

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computer Graphics International

作者： Junfeng Ji Enhua Wu Sheng Li Xuehui Liu Lab. of Comput. Sci. Chinese Acad. of Sci. Beijing China Laboratory of Computer Science Institute of Software Chinese Academy and Sciences Beijing China Faculty of Science and Technology University of Macau Macao China School of Electronics Engineering & Computer Science Peking University Beijing China

ISBN: (纸本)15301052

This paper presents a novel approach to implementing dynamic LOD on GPU. For our purpose, a quadtree structure is created based on seamless geometry image atlas, which is a 3D surface representation in parameter space by combining the features of geometry images and poly-cube maps. All the nodes in the quadtree are packed into the atlas textures. There are two rendering passes in our approach. In the first pass, the LOD selection is performed in the fragment shaders. The resultant buffer is taken as the input texture to the second rendering pass by vertex texturing, and thus the node culling and triangulation can be performed in the vertex shaders. Our LOD algorithm can generate adaptive meshes dynamically, and can be fully implemented on GPU. It improves the efficiency of LOD selection, and alleviates the computing load on CPU.

关键词： Geometry Rendering (computer graphics) Graphics Hardware Pixel Concurrent computing Runtime Mesh generation Digital elevation models Image converters

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A hybrid method for real-time animation of trees swaying in wind fields

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VISUAL computer 2004年第10期20卷 613-623页

作者： Ota, S Tamura, M Fujimoto, T Muraoka, K Chiba, N Iwate Software Center Japan Department of Computer and Information Sciences Faculty of Engineering Iwate University Japan Department of Communications Engineering Tohoku Institute of Technology Japan

Trees are one of the most important elements of natural landscapes. Therefore, in computer graphics, there is a great demand for methods to realize the natural representation of trees in virtual landscapes in various fields such as the entertainment industry or environmental assessment in construction. Many studies have been made on techniques in which the shapes of trees are modeled but only a few studies have been reported on methods to incorporate the shapes with motions in a wind field. Most of these studies use physical simulation techniques based on the equations of motion to generate the branch motions and cannot realize the motions of individual leaves. In this paper, we propose a method to create the natural motions of individual leaves and branches swaying in a wind field. The proposed method uses a hybrid approach combining a stochastic method and a simulation method. The stochastic method is based on 1/f(beta) stop noise, which is observed in various natural phenomena, and provides natural motion to leaves and branches. In addition, a simple simulation method based on the spring model is applied to branches to enhance the reality of their motions. This method enables the real-time creation of the leaf and branch motions. Diverse motions according to tree species and shapes and wind conditions can be easily realized by controlling the parameters.

关键词： tree motion wind 1/f(beta) noise real-time animation

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An architecture design of the intelligent agent for speech recognition and translation

An architecture design of the intelligent agent for speech r...

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IEEE TENCON 2004 - 2004 IEEE Region 10 Conference: Analog and Digital Techniques in Electrical engineering

作者： Bin Ahmad, Abd. Manan Bin Ag.Nordin, Ag.Noorajis Saaim, Emrul Hamide Md. Bin Samaon, Den Fairol Bin Ibrahim, Mohd Danial Department of Software Engineering Faculty of Computer Science and Information System University of Technology Malaysia

An architecture design of the intelligent agent for speech recognition and translation is presented in this paper. The design involves the agent architecture and the method of the agent is used. The architecture design will show the relationship between the intelligent agent and speech recognition also translation. The intelligent agent for speech recognition is called S - AGENT and T- AGENT for translation. The purpose of the S - AGENT is to facilitate for transmitting the speech data via internet or network. The S - AGENT is acting as a data transmit control to ensure the transmitted speech data will secure delivered The task of the T - AGENT is different from the S - AGENT. The T - AGENT is acting as information retrieval. It will process the output from the speech recognition and translates the output based on its information memory database. If the information cannot be found on its memory, it will search the information required from the database dictionary provided. At the same time, it learns the information and saves the information to its memory for the future purposed © 2004IEEE.

关键词： Speech recognition

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An on-line purchasing and decision support system for distributed retail chain stores 04

An on-line purchasing and decision support system for distri...

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6th International Conference on Electronic Commerce, ICEC04

作者： Yusof, Azwina M. Dept. of Software Engineering Faculty of Computer Science and Information Technology University of Malaya 50603 Kuala Lumpur Malaysia

ISBN: (纸本)1581139306

This paper looks into how integrating on-line purchasing with inventory management system for distributed retail chain stores can automate and aid the process of decision-making in relation to on-line product sales and distribution. It extends the work done in [1], to include not only on-demand and automatic communication between the retail chain store's head office and point-of-sale (POS) outlets, but also to include on-line purchasing capabilities for home users. The application uses distributed databases to store information relevant to customers, products and product transactions at different geographical locations. The system is designed to facilitate the management process between the head office and the POS outlets: it aids top-level management to make the right business decisions in terms of the right products being distributed at the right location and at the right time, and also products ordered by home users to be sent by the right POS outlet, and it aids low-level employees to manage the daily business transactions of each POS outlet efficiently. Copyright 2004 ACM.

关键词： Decision support systems

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Recurrent neural network with backpropagation through time for speech recognition

Recurrent neural network with backpropagation through time f...

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IEEE International Symposium on Communications and Information Technologies: Smart Info-Media Systems, ISCIT 2004

作者： Ahmad, Abdul Manan Ismail, Saliza Samaon, Den Fairol Universiti Teknologi Malaysia Department of Software Engineering Faculty of Computer Science and Information System Universiti Teknologi Malaysia 81310 Skudai Johor Darul Takzim Malaysia

ISBN: (纸本)0780385934

The study on speech recognition and understanding has been done for many years. In this paper, we propose a fully-connected hidden layer between the input and state nodes and the output. Besides that, we also investigate and show that this hidden layer makes the learning of complex classification tasks more efficient. We also investigate difference between LPCC and MFCC in feature extraction process. The aim of the study was to observe the difference of Arabic's alphabet like "alif" until "ya". The purpose of this research is to upgrade the people's knowledge and understanding on Arabic's alphabet or word by using Fully-Connected Recurrent Neural Network (FCRNN) and Backpropagation through Time (BPTT) learning algorithm. 6 speakers (a mixture of male and female) are trained in quiet environment. Neural Network is well-known as a technique that has the ability to classified nonlinear problem. Today, lots of researches have been done in applying Neural Network towards the solution of speech recognition [1] such as Arabic. The Arabic language offers a number of challenges for speech recognition [2]. Even though positive results have been obtained from the continuous study, research on minimizing the error rate is still gaining lots of attention. This research utilizes Recurrent Neural Network, one of Neural Network technique to observe the difference of alphabet "alif" until "ya".

关键词： Neural networks

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Fetal heart rate monitoring from maternal body surface potentials using independent component analysis

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Animal Science Journal 2004年第5期75卷 471-478页

作者： Chen, Wenxi Zhu, Xin Nemoto, Tetsu Kobayashi, Toshio Saito, Toshiyuki Department of Computer Software University of Aizu Aizu-Wakamatsu-shi Japan Faculty of Medicine Kanazawa University Kanazawa-shi Japan Faculty of Engineering Soka University Hachioji-shi Japan Natl. Inst. of Agrobiol. Sciences Tsukuba-shi Japan Department of Computer Software University of Aizu Fukushima-ken 965-8580 Tsuruga Ikki-machi Japan

The fetal heart rate is indispensable for monitoring the health of unborn cattle fetuses. To monitor the fetal heart rate, a method employing independent component analysis (ICA) to extract the fetal electrocardiogram (fECG) from potentials measured on the maternal body surface and composed of a mixture of the maternal ECG (mECG), fECG, baseline drift and noise is described. A mixing of the raw data was simplified using a linear time-invariant model. To separate the fECG from the mECG, baseline drift, and noise, an ICA strategy was applied, using a hyperbolic tangent as the contrast function and treating mutual information with the minimization principle to find the optimum demixing matrix to derive the fECG from the measured signals. After the feasibility of this method was shown on simulated signals obtained by randomly mixing pure fECG, pure mECG, low frequency sinusoidal drift and noise, real signals from three cloned pregnant Holstein cows with 157, 177 and 224-day gestation periods were used to verify the separation method. The results show that the fECG, mECG, low-frequency sinusoidal drift and noise can be clearly segregated in simulations, and that the fECG, mECG, baseline drift and noise can be successfully derived from real signals. The ICA approach has great potential in effectively detecting the fECG from maternal body surface potentials.

关键词： Blind source separation Fetal electrocardiogram Independent component analysis Mutual information

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Unifying views of UML

Unifying views of UML

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作者： Liu, Zhiming He, Jifeng Liu, Jing Li, Xiaoshan International Institute for Software Technology United Nations University Macao China Faculty of Software Engineering University of Macao Macao China Department of Computer Science University of Leicester United Kingdom East China Normal University Shanghai China Shanghai University China

We present an approach to embedding a formal method into Rational Unified Process (RUP). The purposes are: (a) to unify different views of UML. (b) to enhance UML with the formal method to improve the quality of software systems;and (c) to support effective use of the formal method for system specification and reasoning with the iterative and incremental approach by providing a unified conceptual framework. One of the main features of RUP is that it is use-case driven and supports iterative development more explicit than other process models, such as the waterfall model. Object-orientation also supports better and more explicitly incremental programming than the traditional imperative programming. These together will help to scale up the use of the formal method in software system development. The model is based on Hoare and He's Unifying Theories of Programming (UTP). © 2004 Elsevier B.V. All rights reserved.

关键词： computer programming languages

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