Browsing by Author "Huang, Po-Sheng"

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A Study on Heat Sink Performance Using V-Shaped Cannelure Structure Fin
(2015)
Huang, Po-Sheng
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Wang, Chi-Chuan
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機械工程學系
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Department of Mechanical Engineering
The present study proposed a V-shape cannelure structure applicable for electronic cooling thermal module. Initially, simulations are made to find out the best configurations, followed by an actual implementation and verification. From the experimental verification, it is found that the proposed modified thermal module can appreciably reduce the heat sink volume (up to 30%) and still maintain a lower base temperature than the original plain fin design. Yet it is found that an overall 16% improvement of the heat transfer performance can be achieved.
Helpful or unhelpful? Self-affirmation on challenge-confronting tendencies for students who fear being laughed at
(2016-01)
Liu, Cheng-Hong
;
Huang, Po-Sheng
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Chang, Jen-Ho
;
Lin, Ching-Yi
;
Huang, Ching-Chun
Studies suggest that self-affirmation interventions may help increase students\' tendencies to confront challenges. However, we posited that self-affirmation cannot help students with higher levels of fear of being laughed at (gelotophobia) confront challenges because it may lead them to accept negative information (feelings of threat) about their ability and decrease their perceptions of self-ability. In support of this hypothesis, Experiment 1 found that being attribute-affirmed enhanced the tendencies to confront a challenging task for junior high school students with low gelotophobia, but not for those with high gelotophobia. Experiment 2 revealed that being value-affirmed increased challenge-confronting tendencies for senior high school students with low gelotophobia. However, it decreased high gelotophobia students\' challenge-confronting tendencies because it caused them to feel less capable of performing the task. Thus, self-affirmation, which may decrease high gelotophobia students\' self-perceived ability in challenging situations, may be unhelpful or even harmful in motivating them to confront challenges. (C) 2015 Elsevier Inc. All rights reserved.
Saliency Detection with Multi-Contextual Models and Spatially Coherent Loss Function
(2019-01-01)
Huang, Po-Sheng
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Shen, Chin-Han
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Hsiao, Hsu-Feng
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資訊工程學系
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Department of Computer Science
We have proposed a multi-contextual model architecture with color and depth information considered independently in this work. To utilize the feature maps of different levels better, short connection structures are used to integrate the knowledge from color and depth data separately. A novel loss function considering three criteria is proposed to improve the detection accuracy and spatial coherence of the detected results. The training process of the proposed network is divided into two stages, a pre-training phase and a refinement phase to increase the efficiency of the network.