The proposed hyper knowledge discovery system is designed to facilitate domain users to interactively discover knowledge from complex data sets. At the first stage, this system integrates data preprocess, lexicon esta...
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The proposed hyper knowledge discovery system is designed to facilitate domain users to interactively discover knowledge from complex data sets. At the first stage, this system integrates data preprocess, lexicon establishment and database construction together. Then it provides domain users with flexibility and fuzzy mechanism to retrieve information and mine knowledge interactively. The system introduces an approach to obtain joint probability distributions of an arbitrary number of variables of multi valued states. This is fundamental for mining correlation and causal relations from the complex data sources. To attain these objectives, the system creatively exploits the functionalities of the relational database and SQL engine to reduce programming while achieving good performance. All the functionalities are online and hence facilitate resource and knowledge sharing.
This paper is aimed at the development of a high-precision, noninvasive, continuous blood pressure monitor using pulse arrival time (PAT). A continuous putative function of systolic blood pressure was realized using E...
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This paper is aimed at the development of a high-precision, noninvasive, continuous blood pressure monitor using pulse arrival time (PAT). A continuous putative function of systolic blood pressure was realized using Electrocardiogram (ECG) and the pulse signals for calculating the pulse wave are obtained from electrodes that are attached to both hands and a photoplethysmographic sensor attached to the tip of the finger and the hand. First, noise such as drift, electromyogram, and hum noise is reduced using a notch filter and a bandpass filter. Next, the QRS wave peak of the ECG is detected. In parallel with QRS wave peak detection, the leading edge of the pulse is detected. The interval between these two points is computed as the PAT. Then, the signal most correlated to change in blood pressure is selected. In this way, systolic blood pressure is computed continuously and precisely.
As Grid is a dynamic environment, the function of reputation is more and more obvious. Reputation systems have been a hot topic in the Peer-to-Peer community for several years. However the researches of it in the Grid...
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ISBN:
(纸本)9781595939036
As Grid is a dynamic environment, the function of reputation is more and more obvious. Reputation systems have been a hot topic in the Peer-to-Peer community for several years. However the researches of it in the Grid are still not perfect, especially in the emerging Grid economy field. In this paper, we propose a reputation calculation model that is suitable in the economic-based Grid computing environment. We also propose a new module, Reputation Control Module (RCM), for the Grid Architecture for Computational Economy (GRACE), and give a detailed introduction of the internal structure of RCM and workflow of different module in GRACE architecture. Additionally, a reputation driven Min-min algorithm was designed based on reputation system in the Grid economy for resource selection. At last we show the performance of the system by simulating experiments. Copyright 2007 ACM.
A combination of closed sequential pattern mining and closed itemset pattern mining was proposed to mine closed multidimensional sequential patterns. There are two ways for this combination; (1) mining closed itemset ...
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A combination of closed sequential pattern mining and closed itemset pattern mining was proposed to mine closed multidimensional sequential patterns. There are two ways for this combination; (1) mining closed itemset patterns from multidimensional information followed by mining closed sequential patterns from sequences associated with closed itemset patterns, and (2) mining closed sequential patterns from sequences followed by mining closed itemset patterns from multidimensional information associated with closed sequential patterns. In the first way the major cost is mining all sequences associated with closed itemset patterns. A similar problem occurs with the second way, the major cost is mining all multidimensional information associated with closed sequential patterns. Therefore, this paper proposes two new combinations that don't need to mine all sequences in the first combination, and all multidimensional information in the second combination. Both combinations can be effected by exploiting two concepts. In the first combination, any closed sequential patterns associated with a closed itemset patten I can be found from a set of closed sequential patterns associated with a closed itemset pattern I' if I sup I'. In the second combination, any closed itemset patterns associated with a closed sequential pattern s can be found from a set of closed sequential patterns associated with a closed itemset pattern s' if s sup s'.
作者:
Yanci ZhangHanqiu SunEnhua WuState Key Lab.of Computer Science
Institute of SoftwareChinese Academy of Sciences Department of Computer Science and EngineeringThe Chinese University of Hong Kong Faculty of Science and TechnologyUniversity of Macau
In this paper,we propose a novel method that represents the highly-complex point sets by clustering the points to normal-mapped B-spline surfaces (NBSs). The main idea is to construct elaborate normal maps on simple s...
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In this paper,we propose a novel method that represents the highly-complex point sets by clustering the points to normal-mapped B-spline surfaces (NBSs). The main idea is to construct elaborate normal maps on simple surfaces for the realistic rendering of complex point-set models. Based on this observation,we developed the coarse,normal-mapped B-spline surfaces to approximate the original point datasets with fine surface details. In our algorithm,a genetic clustering algorithm is proposed to automatically segment the point samples into several clusters according to their statistical properties,and a network of B-spline patches with normal maps are constructed according to the clustering results. Our experimental results show that this representation facilitates the modeling and rendering of complex point sets without losing the visual qualities.
Web service composition provision which requires efficient coordination of the execution of component services is a critical issue in service-oriented computing. Nowadays, BPEL4WS, the de facto industry standard for s...
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ISBN:
(纸本)9781595937575
Web service composition provision which requires efficient coordination of the execution of component services is a critical issue in service-oriented computing. Nowadays, BPEL4WS, the de facto industry standard for service compositions, is predominantly deployed in a way in which all interactions and intermediate data must go through one server. This centralised management results in problems such as poor performance, impaired reliability, limited scalability, and restricted flexibility. To address these problems, this research proposes an agent-based decentralised process management framework for Web service composition. This framework allows distributed BPEL engines, each of which is represented by a software agent, to manage the execution of relevant sub-processes, and to interact with one another directly to coordinate the execution of the whole process. Such a framework naturally reflects the distributed and dynamic features of the Web services environment and subsequently offers improved coordination support for service composition provision.
This paper will study and evaluate watermarking technique by Zain and Fauzi [1]. Recommendations will then be made to enhance the technique especially in the aspect of recovery or reconstruction rate for medical image...
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This paper will study and evaluate watermarking technique by Zain and Fauzi [1]. Recommendations will then be made to enhance the technique especially in the aspect of recovery or reconstruction rate for medical images. A proposal will also be made for a better distribution of watermark to minimize the distortion of the Region of Interest (ROI). The final proposal will enhance AW-TDR in three aspects;firstly the image quality in the ROI will be improved as the maximum change is only 2 bits in every 4 pixels, or embedding rate of 0.5bits/pixel. Secondly the recovery rate will also be better since the recovery bits are located outside the region of interest. The disadvantage in this is that, only manipulation done in the ROI will be detected. Thirdly the quality of the reconstructed image will be enhanced since the average of 2×2 pixels would be used to reconstruct the tampered image.
Code model checking of software components suffers from the well-known problem of state explosion when applied to highly parallel components, despite the fact that a single component typically comprises a smaller stat...
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Code model checking of software components suffers from the well-known problem of state explosion when applied to highly parallel components, despite the fact that a single component typically comprises a smaller state space than the whole system. We present a technique that mitigates the problem of state explosion in code checking of primitive components with the Java PathFinder in case the checked property is absence of concurrency errors. The key idea is to reduce parallelism in the calling protocol on the basis of the information provided by static analysis searching for concurrency-related patterns in the component code; by a heuristic, some of the pattern instances are denoted as "suspicious". Then, the environment (needed to be available since Java PathFinder checks only complete programs) is generated from a reduced calling protocol so that it exercises in parallel only those parts of the component's code that likely contain concurrency errors.
AXML (active XML) is a framework for peer-to-peer data integration from XML sources. In AXML documents data can be presented extensionally or intentionally by including calls to local or remote Web services. In comple...
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AXML (active XML) is a framework for peer-to-peer data integration from XML sources. In AXML documents data can be presented extensionally or intentionally by including calls to local or remote Web services. In complex AXML-based systems data retrieval can be inefficient. In the paper we propose a caching mechanism for systems based on active XML. We show how it can influence network communication and data integration processes.
In this paper we present the findings of our research which aims to develop an emotions filter that can be added to an existing Malay text-to-speech system to produce an output expressing happiness, anger, sadness and...
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In this paper we present the findings of our research which aims to develop an emotions filter that can be added to an existing Malay text-to-speech system to produce an output expressing happiness, anger, sadness and fear. The end goal is to produce an output that is as natural as possible, thus contributing towards the enhancement of the existing system. The emotions filter was developed by manipulating pitch and duration of the output using a rule-based approach. The data was made up of emotional sentences produced by a female native speaker of Malay. The information extracted from the analysis was used to develop the filter. The emotional speech output underwent several acceptance tests. The results showed that the emotions filter developed was compatible with FASIH and other TTS systems using the rule-based approach of prosodic manipulation. However, further work need to be done to enhance the naturalness of the output.
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