Browsing by Author "Wang, Chen-Sheng"

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A collaborated computing system by web services based P2P architecture
(2006)
Tsai, Min-Jen
;
Wang, Chen-Sheng
;
Yang, Po-Yu
;
Yang, Chien-Yu
;
資訊管理與財務金融系註：原資管所+財金所
The peer-to-peer (P2P) model which shares the content or resources over the network gradually replaces the traditional client/server architecture. A new computing architecture: Computing Power Services (CPS) which utilizes Web Services and Business Process Execution Language (BPEL) to overcome the problems of P2P about flexibility, compatibility and workflow management is proposed in this study. CPS is a lightweight Web Services based P2P power sharing environment, and suitable for enterprise computing works which are able to run in batch format in a trusty network. The architecture relies on BPEL which provides a visualized development environment and workflow control management. In this paper, the collaborated computing system has been applied to analyze the robustness of digital watermark by filter bank selection. As the result of this case, the performance can be improved in the aspect of speedup, efficiency and process time.
A computing coordination based fuzzy group decision-making (CC-FGDM) for web service oriented architecture
(2008-05-04)
Tsai, Min-Jen
;
Wang, Chen-Sheng
;
資訊管理與財務金融系註：原資管所+財金所
;
Department of Information Management and Finance
As the demands for faster data processing and enterprise computing are increasing, the traditional client/server architecture has gradually been replaced by Grid computing or the peer-to-peer (P2P) model which can share the content or resources over the network. In this paper, a new computing architecture - computing power services (CPS) - has been applied to utilize web services and business process execution language for overcoming the issues about flexibility, compatibility and workflow management. CPS is a lightweight web services based computing power-sharing architecture, and suitable for enterprise computing tasks which can be executed in the batch processes within a trusty network. However, a real-time load balance and dispatching mechanism is needed for distributed-computing architecture like CPS in order to handle computing resources efficiently and properly. Therefore, a fuzzy group decision-making based adaptive collaboration design for CPS is proposed in this paper to provide the real-time computation coordination and quality of service. In this study, the approach has been applied to analyze the robustness of digital watermark by filter bank selection and the performance can be improved in the aspect of speedup, stability and processing time. This scheme increases the overall computing performance and shows stability for the dynamic environment. (c) 2007 Elsevier Ltd. All rights reserved.
A game-theoretic framework for the security system of visible watermarking
(2011-05-01)
Tsai, Min-Jen
;
Liu, Jung
;
Wang, Chen-Sheng
;
資訊管理與財務金融系註：原資管所+財金所
;
Department of Information Management and Finance
Perfect digital watermarking systems are contained two characteristics. One is the robustness that it need be resistant to geometric attacks in addition to common image processing tasks, such as JPEG compression. The other one is to preserve the image quality after embedding. However, the requirement of robustness and quality for watermark are conflicted with each other. How to determine the equilibrium of optimal security strategies between encoder and attacker and the optimal tradeoff between the intensity of embedded watermark and the perceptual translucence for visible watermark is still remained as one of the most challenging research topics in image watermarking. Therefore, in order to achieve the best tradeoff between the embedding energy of watermark, the quality of perceptual watermark translucence and the image fidelity after attacks, we propose a system architecture which is based on the game-theoretic approach that provides an optimum solution for the decision maker by studying the intensity and perceptual efficiency. The game-theoretic approach determines the transmission strategy using utility optimization according to the fluctuation of watermark states. The watermark embedding problem is formulated as a dynamic non-cooperative game with complete information while the optimal strategy is defined by the Nash equilibrium of the game. The experimental results demonstrate the feasibility of the proposed approach which allows the watermark encoder to obtain the best adaptive watermarking strategy in the different texture under attacks. Additionally, we demonstrate that the proposed system could help each user to choose the optimal transmission power to maximize its utility based on other constant parameters and resolve security issue of visual communication. (C) 2010 Elsevier Ltd. All rights reserved.
Adaptive real-time computation coordination for the web services based computing architecture
(2007)
Tsai, Min-Jen
;
Wang, Chen-Sheng
;
資訊管理與財務金融系註：原資管所+財金所
;
Department of Information Management and Finance
Computation coordination is an important decision making activity in the real-time distributed computing in order to achieve the optimal performance. The Computing Power Sharing (CPS) is a lightweight web services based architecture, and suitable for enterprise computing works which are able to run in batch format within a trusty network. The architecture relies on Business Process Execution Language (BPEL) which provides a visualized development environment and workflow control management. An adaptive real-time coordination module based on fuzzy group decision making policy that implements fuzzy resolution process facilitates the CPS architecture to provide the real-time computation coordination with quality of service. In this paper, the collaborated computing system has been applied to analyze the robustness of digital watermark by filter bank selection. As the result of this study, the performance can be improved in the aspect of speedup, stability and process time.
Source Color Laser Printer Identification Using Discrete Wavelet Transform and Feature Selection Algorithms
(2011-01-01)
Tsai, Min-Jen
;
Liu, Jung
;
Wang, Chen-Sheng
;
Chuang, Ching-Hua
;
資訊管理與財務金融系註：原資管所+財金所
It has lately become an important research area of digital forensics to identify the characteristics and the originality of the digital devices. This paper presents a novel method to identify source color laser printer by using discrete wavelet transform and feature selection algorithms. To explore the relationship between color laser printers and color images obtained by scanning printed documents, the proposed approach utilizes image processing techniques and data exploration methods to calculate the features by applying statistical analysis on discrete wavelet transform of scanned images. A model of support vector machines sequentially will be created and trained by using these features to identify the source brand and model of color laser printer. In this study, 10 models of color laser printers and color toner from 6 different brands are used for the experiments. The experimental results reach up to 92.4% identification rate which is significantly superior to the existing known method by 5.5%. The testing performance justifies the proposed identification method is very useful for source color laser printer identification.
Source Color Laser Printer Identification Using Discrete Wavelet Transform and Feature Selection Algorithms
(2011-01-01)
Tsai, Min-Jen
;
Liu, Jung
;
Wang, Chen-Sheng
;
Chuang, Ching-Hua
;
資訊管理與財務金融系註：原資管所+財金所
It has lately become an important research area of digital forensics to identify the characteristics and the originality of the digital devices. This paper presents a novel method to identify source color laser printer by using discrete wavelet transform and feature selection algorithms. To explore the relationship between color laser printers and color images obtained by scanning printed documents, the proposed approach utilizes image processing techniques and data exploration methods to calculate the features by applying statistical analysis on discrete wavelet transform of scanned images. A model of support vector machines sequentially will be created and trained by using these features to identify the source brand and model of color laser printer. In this study, 10 models of color laser printers and color toner from 6 different brands are used for the experiments. The experimental results reach up to 92.4% identification rate which is significantly superior to the existing known method by 5.5%. The testing performance justifies the proposed identification method is very useful for source color laser printer identification.
Using decision fusion of feature selection in digital forensics for camera source model identification
(2012-03-01)
Tsai, Min-Jen
;
Wang, Chen-Sheng
;
Liu, Jung
;
Yin, Jin-Sheng
;
資訊管理與財務金融系註：原資管所+財金所
Digital forensics, which identifies the characteristics and origin of a digital device, has become a new field of research. If digital content will serve as evidence in court, similar to its non-digital counterparts, digital forensics can play a crucial role in identifying the source model or device. To achieve this goal, the relationship between an image and its camera model will be explored. Various image-related and hardware-related features are utilized in the proposed model by a support vector machine approach along with decision fusion techniques. Furthermore, the optimum feature subset to achieve the highest accuracy rate is also explored. (C) 2011 Elsevier B.V. All rights reserved.