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Your search keyword '"Weng, Tien-Hsiung"' showing total 191 results
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191 results on '"Weng, Tien-Hsiung"'

6. Fabric-GC: A Blockchain-based Gantt Chart System for Cross-organizational Project Management

Author

Li, Dun, Han, Dezhi, Xia, Benhui, Weng, Tien-Hsiung, Castiglione, Arcangelo, and Li, Kuan-Ching

Subjects
Computer Science - Computers and Society, Computer Science - Distributed, Parallel, and Cluster Computing
Abstract

Large-scale production is always associated with more and more development and interaction among peers, and many fields achieve higher economic benefits through project cooperation. However, project managers in the traditional centralized approach cannot rearrange their activities to cross-organizational project management. Thanks to its characteristics, the Blockchain can represent a valid solution to the problems mentioned above. In this article, we propose Fabric-GC, a Blockchain-based Gantt chart system. Fabric-GC enables to realize secure and effective cross-organizational cooperation for project management, providing access control to multiple parties for project visualization. Compared with other solutions, the proposed system is versatile, as it can be applied to project management in different fields and achieve effective and agile scheduling. Experimental results show that Fabric-GC achieves stable performance in large-scale request and processing distributed environments, where the data synchronization speed of the consortium chain reached four times faster than a public chain, achieving faster data consistency.

Published
2022

20. A Virtual Interactive System for Merchandising Stores

Author

Hsieh, Meng-Yen, Lin, Hua-Yi, Weng, Tien-Hsiung, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Hirche, Sandra, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Liang, Qilian, Series Editor, Martin, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Möller, Sebastian, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zhang, Junjie James, Series Editor, Hung, Jason C., editor, Yen, Neil Y., editor, and Hui, Lin, editor

Published
2019
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28. Analyzing execution path non-determinism of the Linux kernel in different scenarios.

Author

Chen, Yucong, Tang, Xianzhi, Xu, Shuaixin, Zhu, Fangfang, Zhou, Qingguo, and Weng, Tien-Hsiung

Abstract

Safety-critical systems play a significant role in industrial domains, and their complexity is increasing with advanced technologies such as Artificial Intelligence (AI). To provide efficient services, safety-critical systems that integrate AI applications are always built based on Linux, where Linux offers massive amounts of features and an incredibly perfect software ecosystem for AI applications. Since Linux is a pre-existing complex software system, different research programmes aim to pave the way for developing Linux-based safety-critical systems. Still, only some focus on the system calls for file operations. However, the execution path of a system call is effectively non-deterministic in Linux kernel space, which challenges the test coverage-based verification recommended by the functional safety standards. This research analyzes the influence of system state on Linux kernel path variability from two perspectives: file system type and system load. Therefore, an online data collection system for system call execution paths was constructed based on Ftrace, network file system (NFS), and MD5 hash function, uniquely identifying the system call execution path. The collected data were processed and analysed in this study. Evaluations show that the number of function execution paths of the system calls relevant to file systems increased with the increase in system load but would eventually be stable. Additionally, the function execution paths of the system call varied in different file systems. Based on the evaluations, the results of this work can provide advice for analyzing Linux-based safety-critical systems. In addition, the method introduced in this research can also provide support for the verification of Linux-based safety-critical systems. [ABSTRACT FROM AUTHOR]

Published
2023
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29. MS_HGNN: a hybrid online fraud detection model to alleviate graph-based data imbalance.

Author

Long, Jing, Fang, Fei, Luo, Cuiting, Wei, Yehua, and Weng, Tien-Hsiung

Abstract

Online transaction fraud has become increasingly rampant due to the convenience of mobile payment. Fraud detection is critical to ensure the security of online transactions. With the development of graph neural network, researchers have applied it to the field of fraud detection. The existing fraud detection methods will solve the class imbalance by sampling, but they do not fully consider the various imbalances in the heterogeneous graph, and the data imbalance will directly affect the performance of the model. This work proposes a hybrid graph neural network model for online fraud detection to address this issue. The three types of imbalance in online transactions are feature imbalance, category imbalance, and relation imbalance, and they are all addressed in the proposed model. The entities with the feature most closely related to the fraudsters will be determined for the feature imbalance, and samples will be taken for further identification in the subsequent training phase. The hybrid model then uses under-sampling in combination with the long-distance sampling to find nodes with high similarity of features for the category imbalance. Finally, we propose a reward/punishment mechanism based on reinforcement learning for relation imbalance, which uses the threshold created by training as the sampling weight between relations. This paper conducts experiments on the public datasets Amazon and Yelp. The experimental results show that the model proposed is 5.61% higher than the best model in the comparison model on Amazon dataset, and 1.58% higher on Yelp dataset. [ABSTRACT FROM AUTHOR]

Published
2023
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32. An evolutive framework for server placement optimization to digital twin networks.

Author

Xiao, Lijun, Han, Dezhi, Weng, Tien‐Hsiung, Chen, Shaomiao, Deng, Han, Souri, Alireza, and Li, Kuan‐Ching

Subjects
DIGITAL twins, EVOLUTIONARY algorithms, GLOBAL optimization, COMBINATORIAL optimization, NP-hard problems
Abstract

Summary: Digital twin network (DTN) is a foremost enabler for efficient optimization in modern networks, as it owns massive real‐time data and requires interaction with the physical network in real‐time. When constructing a DTN, it is necessary to deploy many servers in the physical network for digital models' storage, calculation, and communication. Evolutionary algorithms show outstanding global optimization capabilities compared to the constructive heuristic method in such an optimization problem. However, due to the high dimensionality of the problem and the complicated evaluation of the deployment plan, evolutionary algorithms easily fall into the optimum local at a high computational cost, given that the server placement problem is an NP‐hard combinatorial optimization problem. In this research, we propose an evolutionary framework for server layout optimization that significantly improves the optimization efficiency of evolutionary algorithms and reduces the algorithm's computational cost. An offline‐learning‐based approach is used to reduce the search space, and a self‐examining guided local search method is proposed to improve the search efficiency. Additionally, a look‐up table‐based hybrid approach is used for solution evaluation, reducing computational overhead. Experimental results show that the proposed framework and optimization strategy can significantly improve the evolutionary algorithm search efficiency and achieve excellent convergence performance. [ABSTRACT FROM AUTHOR]

Published
2023
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38. Performance of Parallel Bit-Reversal with Cilk and UPC for Fast Fourier Transform

Author

Weng, Tien-Hsiung, Huang, Sheng-Wei, Liau, Wei-Duen, Li, Kuan-Ching, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Bellavista, Paolo, editor, Chang, Ruay-Shiung, editor, Chao, Han-Chieh, editor, Lin, Shin-Feng, editor, and Sloot, Peter M. A., editor

Published
2010
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39. A Practical OpenMP Implementation of Bit-Reversal for Fast Fourier Transform

Author

Weng, Tien-Hsiung, Huang, Sheng-Wei, Perng, Ruey-Kuen, Hsu, Ching-Hsien, Li, Kuan-Ching, Akan, Ozgur, Series editor, Bellavista, Paolo, Series editor, Cao, Jiannong, Series editor, Dressler, Falko, Series editor, Ferrari, Domenico, Series editor, Gerla, Mario, Series editor, Kobayashi, Hisashi, Series editor, Palazzo, Sergio, Series editor, Sahni, Sartaj, Series editor, Shen, Xuemin (Sherman), Series editor, Stan, Mircea, Series editor, Xiaohua, Jia, Series editor, Zomaya, Albert, Series editor, Coulson, Geoffrey, Series editor, Mueller, Peter, editor, Cao, Jian-Nong, editor, and Wang, Cho-Li, editor

Published
2009
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40. OpenMP Implementation of SPICE3 Circuit Simulator

Author

Weng, Tien-Hsiung, Perng, Ruey-Kuen, Chapman, Barbara, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Mueller, Matthias S., editor, Chapman, Barbara M., editor, de Supinski, Bronis R., editor, Malony, Allen D., editor, and Voss, Michael, editor

Published
2008
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42. Efficient Implementation of OpenMP for Clusters with Implicit Data Distribution

Author

Liu, Zhenying, Huang, Lei, Chapman, Barbara, Weng, Tien-Hsiung, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Dough, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, and Chapman, Barbara M., editor

Published
2005
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45. Asynchronous Execution of OpenMP Code

Author

Weng, Tien-hsiung, Chapman, Barbara, Goos, G., editor, Hartmanis, J., editor, van Leeuwen, J., editor, Sloot, Peter M. A., editor, Abramson, David, editor, Bogdanov, Alexander V., editor, Gorbachev, Yuriy E., editor, Dongarra, Jack J., editor, and Zomaya, Albert Y., editor

Published
2003
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