Supervised and Unsupervised Learning by Using Petri Nets

Shen, Victor R.L.; Chang, Yue-Shan; Juang, Tong‐Ying

doi:10.1109/tsmca.2009.2038068

Cited by 46 publications

(19 citation statements)

References 25 publications

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“…Scholars one after another conduct their researches with extended Petri net theory, such as colored Petri net [7], timed Petri net [9], fuzzy Petri net [8], high-level fuzzy Petri net [10], [11], [12], and so on. The basic definitions and fuzzy reasoning are presented as follows:…”

Section: B High-level Fuzzy Petri Netmentioning

confidence: 99%

“…Though nowadays many scholars have proposed several methods in this kind of research, such as feature extraction [6], neural network [13], or fuzzy reasoning [7], in the researches about neural network and fuzzy reasoning, the shot boundary detection is usually not easy to be generated. Moreover, a high-level fuzzy Petri net model [12] is presented to describe boundary frames combination which indicates a shot change used for video frame sequence to detect both cut transitions and gradual transitions.…”

Section: Introductionmentioning

confidence: 99%

“…We use high-level fuzzy Petri net (HLFPN) [10][11] [12] to reinforce the video segmentation and detect the shot boundary. HLFPN is based on Petri net theory and fuzzy reasoning method.…”

Section: Introductionmentioning

confidence: 99%

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Automatic video shot boundary detection of news stream using a high-level fuzzy Petri net

Shen

Tseng

Hsu

2014

2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC)

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With the advent of digital era, the users have difficulty in using and absorbing overwhelming information brought out by technological advances in multimedia. Thus, the development of video summarization enables users to have a general idea about videos in a short time. This study focuses on the shot change, a part of the video summarization, to conduct an experimental sample on news programs. Moreover, a high-level fuzzy Petri net model is presented to describe boundary frames combination which indicates a shot boundary used for video frame sequence to detect both cut transitions and gradual transitions. The experimental results manifest it saves a lot of time and reduces the occurrence of improper shot change caused by the motions of objects and cameras when comparing this method with human labor.

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Section: B High-level Fuzzy Petri Netmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Automatic video shot boundary detection of news stream using a high-level fuzzy Petri net

Shen

Tseng

Hsu

2014

2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC)

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“…In this section, we briefly review Signal Vector Magnitude and some basic definitions of HLFPN [4] , [5] , [6] .…”

Section: Preliminariesmentioning

confidence: 99%

“…In this section, we briefly review a fuzzy reasoning algorithm (FRA) from [6] to determine whether there exists a fuzzy relational matrix between the antecedent and the consequence of a fuzzy production rule. Wa ={ WaJ Wa2, ... ,Warn } is a fuzzy set of weights for the antecedent; We= { Wc1We2, ... ,Wen } is a fuzzy set of weights for the consequent; and each element of a fuzzy set is denoted by a fuzzy weight interval.…”

Section: Fuzzy Reasoning Algorithmmentioning

confidence: 99%

Application of High-Level Fuzzy Petri Nets to fall detection system using smartphone

Shen

Lai

2013

2013 International Conference on Machine Learning and Cybernetics

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The coming of aging society signifies that falling down has become one of the very important issues in global public health.The smart phone, which is more commonly used than human fall detection devices, was selected as a mobile device of human fall detection and a fall detection algorithm was developed for this purpose. What the user has to do is to put the smart phone in his/her thigh pocket for fall detection. The signals detected by the tri-axial G-sensor adopted were converted into signal vector magnitudes as the basis of detecting a human body in a stalling condition.The Z-axis data were captured for identification of human body inclination and the occurrence frequencies at the peak of the area of use were used as input parameters. High-Level Fuzzy Petri Net was used for analysis and development to identify walking, exercising and falling down.The result of this study may be used in relevant equipment or the field of home nursing.

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Elementary‐Siphon‐Based Control Policy for Flexible Manufacturing Systems with Partial Observability and Controllability of Transitions

Qin¹,

Li²,

Al-Ahmari³

2014

Asian Journal of Control

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Elementary siphons have been extensively studied to solve deadlock problems in Petri nets. However, most of the existing approaches based on elementary siphons can deal with the Petri nets in which all the transitions are supposed to be controllable and observable. This paper develops an elementary-siphon-based deadlock control policy for flexible manufacturing systems with uncontrollable and unobservable transitions. For elementary siphons, their complementary sets are successively expanded by considering unobservability and uncontrollability of transitions. Monitors are designed for the expanded complementary sets. The proposed method permits that there are arcs from monitors to a set of special uncontrollable transitions. Moreover, we show that the dependent siphons are always marked in the controlled system that is derived from the proposed method when there exist uncontrollable and unobservable transitions.

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Supervised and Unsupervised Learning by Using Petri Nets

Cited by 46 publications

References 25 publications

Automatic video shot boundary detection of news stream using a high-level fuzzy Petri net

Automatic video shot boundary detection of news stream using a high-level fuzzy Petri net

Application of High-Level Fuzzy Petri Nets to fall detection system using smartphone

Elementary‐Siphon‐Based Control Policy for Flexible Manufacturing Systems with Partial Observability and Controllability of Transitions

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