Wen-Tsung Chang | National Chiao Tung University (original) (raw)
Papers by Wen-Tsung Chang
IEEE Access
In the age of information explosion, it is easy for people to receive many messages, and it is di... more In the age of information explosion, it is easy for people to receive many messages, and it is difficult to verify the authenticity of each message. Therefore, people often quickly and forward the acquired information and share anonymous information, rather than absorbing it after verification. The study questions current Artificial Intelligence (AI) detection methods, arguing that a simple dichotomy cannot distinguish between true and false information. This study proposes a mixed method to analyze events based on the dissemination and interaction of false information in online enterprise communities from the perspective of an observer. The event explores multiple features based on various characteristics, such as motivation, purpose, intention, and behavior. Experimental results show that the proposed method can effectively identify false information with high risk. Additionally, this study discusses the effectiveness and response strategies of the enterprise cyber warrior based on the mixed multi-layer analysis. This study provides a preliminary study of mixed cognitive warfare identification and immediate response behavior for corporate Internet rumors. INDEX TERMS Cross-community rumors, enterprise cyber warrior, enterprise information management, mixed analysis method, response strategies.
2017 IEEE International Conference on Consumer Electronics - Taiwan (ICCE-TW), 2017
Wound infection care after clinical surgery is mostly done by human observation. This type of wor... more Wound infection care after clinical surgery is mostly done by human observation. This type of work not only adds extra work to clinical physician and/or nurses, but is also subjective in nature. Doctors are relying on off-premise post-surgery monitoring mechanism to track the progress of their patients. This paper introduces our scheme to assist doctor in post-operative wound analytics based on smart mobile device, which combines automatic wound detection and infectious status recognition of wound. We integrate color normalization, robust edge detection, and skin color detection for wound detection. Subsequently, wound image is divided into overlapped blocks for infectious status recognition, which employs feature extraction and machine learning. The experiment results demonstrate the proposed scheme has high accuracies in post-operative wound analytics.
2016 IEEE 5th Global Conference on Consumer Electronics, 2016
Sleep deprivation distracted most people. The common ways to monitor people sleeping are electroe... more Sleep deprivation distracted most people. The common ways to monitor people sleeping are electroencephalogram and polysomnography. Recently, wearable devices provide function to estimate sleep status. However, in some situations people feel uncomfortable to wear devices, such as elder with dementia. This paper presents a scheme to estimate sleep status based on wearable free device. We utilized SVM to train sensing data of motion sensor by referring to sleep status of intelligent band. Then, the trained parameters were exploited to classify sensing data as well as estimate sleep status. The experiment results will demonstrate that our scheme achieves accuracy of 75%.
2022 24th International Conference on Advanced Communication Technology (ICACT), 2022
In recent years, disinformation has had an increasingly detrimental effect on society. It is driv... more In recent years, disinformation has had an increasingly detrimental effect on society. It is driving a wedge between people, causing a crisis of public trust and social unrest. Malicious spreaders often actively propagate disinformation on different social media, so people are exposed repeatedly to messages that deepen establish false memories. This "illusory truth effect" leads people to believe that the repeated disinformation is truthful. Eventually, people may generate a cognitive bias that makes their thinking more easily by others. This work focuses on identifying various features of information by analyzing the motivation for, purpose of, and methods of achieving the active propagation of false information. Then, behaviors that are associated with active propagation will be summarized to identify its sources. Finally, a framework for detecting actively propagated disinformation will be proposed. This framework can be used for gathering information about, and analyzing, and serving as an aid to decision-making.
2017 IEEE 6th Global Conference on Consumer Electronics (GCCE), 2017
When people have problem in sleep, they turned to medical assistance for help. Several approaches... more When people have problem in sleep, they turned to medical assistance for help. Several approaches/devices were applied to measure patient's vital signs in medical, such as, electroencephalogram (EEG), and polysomnography (PSG). This paper we propose a scheme to analyze sensing data measured by high-sensitive pressure sensor, and then recognize statuses on bed and measure vital signs. Three statuses of activities on bed are recognized, including, lying on bed, flipping, and nobody. Two types of vital signs are measured, namely, breathing rate and heart rhythm. Furthermore, the proposed scheme is capable of identifying either living person or inanimate. The experiment results demonstrate that our scheme has high performance to extract useful features when people lie on bed.
![Research paper thumbnail of 結合I-Vector 及深層神經網路之語者驗證系統 (Text-independent Speaker Verification using a Hybrid I-Vector/DNN Approach) [In Chinese]](https://attachments.academia-assets.com/89659745/thumbnails/1.jpg)
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2016 International Computer Symposium (ICS), 2016
The objective of visual cryptography is to hide secret in multiple share images. Then, stacking s... more The objective of visual cryptography is to hide secret in multiple share images. Then, stacking share images together decrypts hidden secret by human visual system. As the share images are given with different priorities, those share images hide various degrees of secret, which is the objective of progressive visual cryptography. This paper presents a scheme to realize progressive visual cryptography. A 2x2 block is the basic element of share image, and we design block pairs for secret hiding as well as secret encryption. The degrees of hidden secret depend on the priorities of share images. The proposed scheme is capable of decrypting partial secret and inferring the stacked shares. The experiment results will demonstrate that our scheme further achieves applications based on progressive visual cryptography, including self-decryption watermark, and inference of shares stacking.
[Proceedings] 1991 IEEE International Joint Conference on Neural Networks
ABSTRACT A MAXNET with constant-time response and with multiple selection of several maximum valu... more ABSTRACT A MAXNET with constant-time response and with multiple selection of several maximum values, CTMAXNET, is presented. The constant-time response for CTMAXNET is proved. A cost analysis of VLSI implementation for CTMAXNET is presented, and it is shown that CTMAXNET has a smaller cost than MAXNET. From the example of ART1, it is shown that including MAXNET leads to misclassification while including CTMAXNET does not. Through these results, the case is made that CTMAXNET is worthy of embedding in a large number of neural network classifier models and applications
International Journal of Modelling and Simulation, 1998
Object-oriented programming, which treats objects as processes in execution, has shown significan... more Object-oriented programming, which treats objects as processes in execution, has shown significant effectiveness in distributed systems. To measure this effectiveness, a modelling technique is required. However, contemporary techniques for modelling processes are not fully satisfactory for object-oriented computation. Therefore, an appropriate analytical model is necessary. The authors propose an analytical model based on the coloured generalized stochastic Petri net (CGSPN) theory. This model can be used to analyze the behaviour of object invocations in a distributed manner. It also provider guidelines for the design of an effective object assignment strategy.
Proceedings of The 2012 Asia Pacific Signal and Information Processing Association Annual Summit and Conference, 2012
In the past few years, the amount of the internet video has grown rapidly, and it has become a ma... more In the past few years, the amount of the internet video has grown rapidly, and it has become a major market. Efficient video indexing and retrieval, therefore, is now an important research and system-design issue. Reliable extraction of metadata from video as indexes is one major step toward efficient video management. There are numerous video types, and theoretically, everybody can define his/her own video types. The nature of video can be so different that we may end up, for each video type, having a dedicated video analysis module, which is in itself nontrivial to implement. We believe an open video analysis framework should help when one needs to process various types of videos. In the paper, we propose an open video analysis framework where the video analysis modules are developed and deployed as plug-ins. In addition to plug-in management, it provides a runtime environment with standard libraries and proprietary rule-based automaton modules to facilitate the plug-in developmen...
Proceedings 1997 International Conference on Parallel and Distributed Systems, 1997
This paper presents performance analysis of two general approaches t o IP multicasting in mobile ... more This paper presents performance analysis of two general approaches t o IP multicasting in mobile environments. In i!he first approach, copies of each multicast datagram were forwarded t o Mobility Agents in all wireless LANs on a campus. The other approach designated the Mobility Agent as a prozy (fized host) for its local mobile hosts to participate in a communication group, ibhus allowing current multicast protocols on the wired backbone to be easily applied. W e develop a n analytical model for quantifying their performance metrics. Performance is measured in terms of the latency required for group members, fixed and mobile hosts, t o receive a datagram addressed t o them, network bandwidth required to accomplish a single multicast. Numericcc1 results show that each approach can outperform the other in certain circumstances.
Journal of Systems Architecture, 1998
Object-oriented programming [9], which treats objects as processes in execution, has shown signif... more Object-oriented programming [9], which treats objects as processes in execution, has shown significant effectiveness in distributed systems. This effectiveness is greatly influenced by how objects are assigned to nodes. In this paper, we present a colored generalized stochastic Petri net (CGSPN) model to analyze the behavior of object invocations when an assignment strategy is applied. The effectiveness of an object assignment is also analyzed by our CGSPN model. Moreover, this analysis provides guidelines to develop an efficient object assignment strategy. [4-8]
Proceedings 1998 MultiMedia Modeling. MMM'98 (Cat. No.98EX200), 1998
As applications of multimedia and networking have become popular in recent years, many techniques... more As applications of multimedia and networking have become popular in recent years, many techniques have been proposed to create fascinating works, but little of them have focused on assigning tasks effectively in a distributed manner. We propose an efficient dynamic multimedia object assignment strategy that optimizes both the routing overhead and the cost of method lookup. Moreover, the strategy can also be adjusted according to the performance indices of systems with different implementations. Simulation results show that our strategy is more effective than other conventional strategies
IEEE Access
In the age of information explosion, it is easy for people to receive many messages, and it is di... more In the age of information explosion, it is easy for people to receive many messages, and it is difficult to verify the authenticity of each message. Therefore, people often quickly and forward the acquired information and share anonymous information, rather than absorbing it after verification. The study questions current Artificial Intelligence (AI) detection methods, arguing that a simple dichotomy cannot distinguish between true and false information. This study proposes a mixed method to analyze events based on the dissemination and interaction of false information in online enterprise communities from the perspective of an observer. The event explores multiple features based on various characteristics, such as motivation, purpose, intention, and behavior. Experimental results show that the proposed method can effectively identify false information with high risk. Additionally, this study discusses the effectiveness and response strategies of the enterprise cyber warrior based on the mixed multi-layer analysis. This study provides a preliminary study of mixed cognitive warfare identification and immediate response behavior for corporate Internet rumors. INDEX TERMS Cross-community rumors, enterprise cyber warrior, enterprise information management, mixed analysis method, response strategies.
2017 IEEE International Conference on Consumer Electronics - Taiwan (ICCE-TW), 2017
Wound infection care after clinical surgery is mostly done by human observation. This type of wor... more Wound infection care after clinical surgery is mostly done by human observation. This type of work not only adds extra work to clinical physician and/or nurses, but is also subjective in nature. Doctors are relying on off-premise post-surgery monitoring mechanism to track the progress of their patients. This paper introduces our scheme to assist doctor in post-operative wound analytics based on smart mobile device, which combines automatic wound detection and infectious status recognition of wound. We integrate color normalization, robust edge detection, and skin color detection for wound detection. Subsequently, wound image is divided into overlapped blocks for infectious status recognition, which employs feature extraction and machine learning. The experiment results demonstrate the proposed scheme has high accuracies in post-operative wound analytics.
2016 IEEE 5th Global Conference on Consumer Electronics, 2016
Sleep deprivation distracted most people. The common ways to monitor people sleeping are electroe... more Sleep deprivation distracted most people. The common ways to monitor people sleeping are electroencephalogram and polysomnography. Recently, wearable devices provide function to estimate sleep status. However, in some situations people feel uncomfortable to wear devices, such as elder with dementia. This paper presents a scheme to estimate sleep status based on wearable free device. We utilized SVM to train sensing data of motion sensor by referring to sleep status of intelligent band. Then, the trained parameters were exploited to classify sensing data as well as estimate sleep status. The experiment results will demonstrate that our scheme achieves accuracy of 75%.
2022 24th International Conference on Advanced Communication Technology (ICACT), 2022
In recent years, disinformation has had an increasingly detrimental effect on society. It is driv... more In recent years, disinformation has had an increasingly detrimental effect on society. It is driving a wedge between people, causing a crisis of public trust and social unrest. Malicious spreaders often actively propagate disinformation on different social media, so people are exposed repeatedly to messages that deepen establish false memories. This "illusory truth effect" leads people to believe that the repeated disinformation is truthful. Eventually, people may generate a cognitive bias that makes their thinking more easily by others. This work focuses on identifying various features of information by analyzing the motivation for, purpose of, and methods of achieving the active propagation of false information. Then, behaviors that are associated with active propagation will be summarized to identify its sources. Finally, a framework for detecting actively propagated disinformation will be proposed. This framework can be used for gathering information about, and analyzing, and serving as an aid to decision-making.
2017 IEEE 6th Global Conference on Consumer Electronics (GCCE), 2017
When people have problem in sleep, they turned to medical assistance for help. Several approaches... more When people have problem in sleep, they turned to medical assistance for help. Several approaches/devices were applied to measure patient's vital signs in medical, such as, electroencephalogram (EEG), and polysomnography (PSG). This paper we propose a scheme to analyze sensing data measured by high-sensitive pressure sensor, and then recognize statuses on bed and measure vital signs. Three statuses of activities on bed are recognized, including, lying on bed, flipping, and nobody. Two types of vital signs are measured, namely, breathing rate and heart rhythm. Furthermore, the proposed scheme is capable of identifying either living person or inanimate. The experiment results demonstrate that our scheme has high performance to extract useful features when people lie on bed.
2016 International Computer Symposium (ICS), 2016
The objective of visual cryptography is to hide secret in multiple share images. Then, stacking s... more The objective of visual cryptography is to hide secret in multiple share images. Then, stacking share images together decrypts hidden secret by human visual system. As the share images are given with different priorities, those share images hide various degrees of secret, which is the objective of progressive visual cryptography. This paper presents a scheme to realize progressive visual cryptography. A 2x2 block is the basic element of share image, and we design block pairs for secret hiding as well as secret encryption. The degrees of hidden secret depend on the priorities of share images. The proposed scheme is capable of decrypting partial secret and inferring the stacked shares. The experiment results will demonstrate that our scheme further achieves applications based on progressive visual cryptography, including self-decryption watermark, and inference of shares stacking.
[Proceedings] 1991 IEEE International Joint Conference on Neural Networks
ABSTRACT A MAXNET with constant-time response and with multiple selection of several maximum valu... more ABSTRACT A MAXNET with constant-time response and with multiple selection of several maximum values, CTMAXNET, is presented. The constant-time response for CTMAXNET is proved. A cost analysis of VLSI implementation for CTMAXNET is presented, and it is shown that CTMAXNET has a smaller cost than MAXNET. From the example of ART1, it is shown that including MAXNET leads to misclassification while including CTMAXNET does not. Through these results, the case is made that CTMAXNET is worthy of embedding in a large number of neural network classifier models and applications
International Journal of Modelling and Simulation, 1998
Object-oriented programming, which treats objects as processes in execution, has shown significan... more Object-oriented programming, which treats objects as processes in execution, has shown significant effectiveness in distributed systems. To measure this effectiveness, a modelling technique is required. However, contemporary techniques for modelling processes are not fully satisfactory for object-oriented computation. Therefore, an appropriate analytical model is necessary. The authors propose an analytical model based on the coloured generalized stochastic Petri net (CGSPN) theory. This model can be used to analyze the behaviour of object invocations in a distributed manner. It also provider guidelines for the design of an effective object assignment strategy.
Proceedings of The 2012 Asia Pacific Signal and Information Processing Association Annual Summit and Conference, 2012
In the past few years, the amount of the internet video has grown rapidly, and it has become a ma... more In the past few years, the amount of the internet video has grown rapidly, and it has become a major market. Efficient video indexing and retrieval, therefore, is now an important research and system-design issue. Reliable extraction of metadata from video as indexes is one major step toward efficient video management. There are numerous video types, and theoretically, everybody can define his/her own video types. The nature of video can be so different that we may end up, for each video type, having a dedicated video analysis module, which is in itself nontrivial to implement. We believe an open video analysis framework should help when one needs to process various types of videos. In the paper, we propose an open video analysis framework where the video analysis modules are developed and deployed as plug-ins. In addition to plug-in management, it provides a runtime environment with standard libraries and proprietary rule-based automaton modules to facilitate the plug-in developmen...
Proceedings 1997 International Conference on Parallel and Distributed Systems, 1997
This paper presents performance analysis of two general approaches t o IP multicasting in mobile ... more This paper presents performance analysis of two general approaches t o IP multicasting in mobile environments. In i!he first approach, copies of each multicast datagram were forwarded t o Mobility Agents in all wireless LANs on a campus. The other approach designated the Mobility Agent as a prozy (fized host) for its local mobile hosts to participate in a communication group, ibhus allowing current multicast protocols on the wired backbone to be easily applied. W e develop a n analytical model for quantifying their performance metrics. Performance is measured in terms of the latency required for group members, fixed and mobile hosts, t o receive a datagram addressed t o them, network bandwidth required to accomplish a single multicast. Numericcc1 results show that each approach can outperform the other in certain circumstances.
Journal of Systems Architecture, 1998
Object-oriented programming [9], which treats objects as processes in execution, has shown signif... more Object-oriented programming [9], which treats objects as processes in execution, has shown significant effectiveness in distributed systems. This effectiveness is greatly influenced by how objects are assigned to nodes. In this paper, we present a colored generalized stochastic Petri net (CGSPN) model to analyze the behavior of object invocations when an assignment strategy is applied. The effectiveness of an object assignment is also analyzed by our CGSPN model. Moreover, this analysis provides guidelines to develop an efficient object assignment strategy. [4-8]
Proceedings 1998 MultiMedia Modeling. MMM'98 (Cat. No.98EX200), 1998
As applications of multimedia and networking have become popular in recent years, many techniques... more As applications of multimedia and networking have become popular in recent years, many techniques have been proposed to create fascinating works, but little of them have focused on assigning tasks effectively in a distributed manner. We propose an efficient dynamic multimedia object assignment strategy that optimizes both the routing overhead and the cost of method lookup. Moreover, the strategy can also be adjusted according to the performance indices of systems with different implementations. Simulation results show that our strategy is more effective than other conventional strategies