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IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW)

作者： Jou-Ken Hsiao Li-Wei Kang Ching-Long Chang Chao-Yung Hsu Chia-Yen Chen Department of Computer Science and Information Engineering National Yunlin University of Science and Technology Yunlin Taiwan Graduate School of Engineering Science and Technology-Doctoral Program National Yunlin University of Science and Technology Yunlin Taiwan Institute of Information Science Taipei Taiwan Department of Computer Science and Information Engineering National University of Kaohsiung Taiwan

Automatic plant identification via computer vision techniques has been greatly important for a number of professionals, such as environmental protectors, land managers, and foresters. In this paper, a novel leaf image recognition technique via sparse representation is proposed for automatic plant identification. In order to model leaf images, we learn an overcomplete dictionary for sparsely representing the training images of each leaf species. Each dictionary is learned using a set of descriptors extracted from the training images in such a way that each descriptor is represented by linear combination of a small number of dictionary atoms. For each test leaf image, we calculate the correlation between the image and each learned dictionary of leaf species to achieve the identification of the leaf image. As a result, efficient leaf recognition can be achieved on public leaf dataset based on the proposed framework leading to a more compact and richer representation of leaf images compared to traditional clustering approaches. Moreover, our method is also adapted to newly added leaf species without retraining classifiers and suitable to be highly parallelized as well as integrated with any leaf image descriptors/features.

关键词： Image recognition Dictionaries Training Feature extraction Shape Educational institutions Computer vision

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Complex thermal evaluation for 2,2′-azobis(isobutyronitrile) by non-isothermal and isothermal kinetic analysis methods

Complex thermal evaluation for 2,2′-azobis(isobutyronitrile...

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作者： Liu, Shang-Hao Yu, Yen-Pin Lin, Yu-Chi Weng, Sheng-Yi Hsieh, Tung-Feng Hou, Hung-Yi Doctoral Program Department of Safety Health and Environmental Engineering National Yunlin University of Science and Technology YunTech 123 University Rd. Sec. 3 Douliou Yunlin 64002 Taiwan Department of Safety Health and Environmental Engineering National Yunlin University of Science and Technology YunTech 123 University Rd. Sec. 3 Douliou Yunlin 64002 Taiwan Department of General Education Center Chienkuo Technology University 1 Chiehshou North Rd. Changhua 50046 Changhua Taiwan Department of Occupational Safety and Health Jen-Teh Junior College of Medicine Nursing and Management 1 Jen-Teh Rd. Houlong Miaoli 35665 Taiwan

Azo compounds are widely used in dyes, pigments, blowing agents, and initiators. Unfortunately, these compounds contain the bivalent -N-N- composition which might be cleavaged readily even under high ambient temperature. The self-accelerating decomposition might cause a runaway reaction and lead to a fire or explosion when the cooling system fails or other upsets occur. To investigate the thermal stability parameters of 2,2′- azobis(isobutyronitrile) with thermal hazard and mechanism, differential scanning calorimetry and thermal activity monitor III were applied with non-isothermal method and isothermal method to obtain onset temperature (T 0), maximum temperature (Tmax), and heat of decomposition (ΔHd). Thermal stability parameters play a pivotal role in thermal analysis, leading particularly to complex evaluation of the inherently safer design during preparation, processing, transport, or storage. The results provide sufficient thermokinetic parameters for process safety in terms of proactive loss prevention program. © Akadémiai Kiadó, Budapest, Hungary 2014.

关键词： Differential scanning calorimetry

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Cross-camera vehicle tracking via affine invariant object matching for video forensics applications

Cross-camera vehicle tracking via affine invariant object ma...

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2013 IEEE International Conference on Multimedia and Expo, ICME 2013

作者： Hsu, Chao-Yung Kang, Li-Wei Mark Liao, Hong-Yuan Institute of Information Science Academia Sinica Taipei Taiwan Graduate School of Engineering Science and Technology-Doctoral Program Department of Computer Science and Information Engineering National Yunlin University of Science and Technology Yunlin Taiwan

ISBN: (纸本)9781479900152

The recent deployment of very large-scale camera networks consisting of fixed/moving surveillance cameras and vehicle video recorders, has led to a novel field in object tracking problem. The major goal is to detect and track each vehicle within a large area, which can be applied to video forensics. For example, a suspected vehicle can be automatically identified for mining digital criminal evidences from a large amount of video data. In this paper, we propose an efficient cross-camera vehicle tracking technique via affine invariant object matching. More specifically, we formulate the problem as invariant image feature matching among different viewpoints of cameras. To achieve vehicle matching, we first extract invariant image feature based on ASIFT (affine and scale-invariant feature transform) for each detected vehicle in a camera network. Then, to improve the accuracy of ASIFT feature matching between images from different viewpoints, we propose to efficiently match feature points based on our observed spatially invariant property of ASIFT, as well as the min-hash technique. As a result, cross-camera vehicle tracking can be efficiently and accurately achieved. Experimental results demonstrate the efficacy of the proposed algorithm and the feasibility to video forensics applications. © 2013 IEEE.

关键词： Tracking (position)

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Haze effect removal from image via haze density estimation in optical model

Haze effect removal from image via haze density estimation i...

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作者： Yeh, Chia-Hung Kang, Li-Wei Lee, Ming-Sui Lin, Cheng-Yang Department of Electrical Engineering National Sun Yat-sen University 804 Taiwan Graduate School of Engineering Science and Technology-Doctoral Program Department of Computer Science and Information Engineering National Yunlin University of Science and Technology Yunlin 640 Taiwan Graduate Institute of Networking and Multimedia Department of Computer Science and Information Engineering National Taiwan University Taipei 106 Taiwan

Images/videos captured from optical devices are usually degraded by turbid media such as haze, smoke, fog, rain and snow. Haze is the most common problem in outdoor scenes because of the atmosphere conditions. This paper proposes a novel single image-based dehazing framework to remove haze artifacts from images, where we propose two novel image priors, called the pixel-based dark channel prior and the pixel-based bright channel prior. Based on the two priors with the haze optical model, we propose to estimate atmospheric light via haze density analysis. We can then estimate transmission map, followed by refining it via the bilateral filter. As a result, high-quality haze-free images can be recovered with lower computational complexity compared with the state-of-the-art approach based on patch-based dark channel prior. ©2013 Optical Society of America.

关键词： Pixels

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Towards advanced solutions for achieving sustainability goals in buildings: Lessons learned from case studies

Towards advanced solutions for achieving sustainability goal...

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2nd Annual International Conference Sustainable Design, engineering and Construction, ICSDEC 2012

作者： Halicioglu, Fahriye Hilal Arditi, David Gunhan, Suat Illinois Institute of Technology Department of Civil Architectural and Environmental Engineering Construction Engineering and Management Program 60616Post Doctoral Visiting Research Scholar Chicago IL 60616 United States University of Texas at San Antonio College of Architecture Construction Science and Management Program 501 W. Cesar Chavez Blvd. San Antonio TX 78207 United States

ISBN: (纸本)9780784412688

Sustainable building projects deal with a multitude of technical, environmental, economic, social, organizational, and innovation-related issues, to name but a few. Achieving sustainability goals depends on how well these issues are handled. While some sustainable building projects are quite successful, some are not. It is therefore important to learn lessons from past projects. This research aims to reveal the key lessons concerning sustainability-related issues in building projects. To that end, challenges in the achievement of sustainability goals of building projects are discussed, and lessons learned systems are examined. After that, the events experienced by project managers in a large number of sustainable building projects are obtained from a major public agency's website and are analyzed. The findings show the key lessons that have an important impact on the success/failure of sustainable building projects. The expected contribution of the study is to foster advanced solutions for future sustainable projects. © 2013 American Society of Civil Engineers.

关键词： Sustainable development

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Cross-camera vehicle tracking via affine invariant object matching for video forensics applications

Cross-camera vehicle tracking via affine invariant object ma...

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IEEE International Conference on Multimedia and Expo (ICME)

作者： Chao-Yung Hsu Li-Wei Kang Hong-Yuan Mark Liao Institute of Information Science Academia Sinica Taipei Taiwan Graduate School of Engineering Science and Technology-Doctoral Program and Department of Computer Science and Information Engineering National Yunlin University of Science and Technology Yunlin Taiwan

ISBN: (纸本)9781479900145

关键词： Vehicles Visualization Cameras Feature extraction Transforms Robustness Forensics

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Thermal Activiation of Sr3Fe2O7 Electrocatalysts for Water Oxidation at Neutral pH

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ECS Transactions 2014年第22期61卷

作者： Toshihiro Takashima Koki Ishikawa Hiroshi Irie Clean Energy Reseach Center University of Yamanashi Special Doctoral Program for Green Energy Conversion Science and Technology Interdisciplinary Graduate School of Medicine and Engineering University of Yamanashi Japan Science and Technology Agency (JST) Core Research for Evolutionary Science and Technology (CREST Clean Energy Research Center University of Yamanashi

The Ruddlesden-Popper-type layered perovskite strontium ferrite (Sr3Fe2O7) was studied as an electrocatalyst for water oxidation to molecular oxygen (O2). The electrocatalytic activity of Sr3Fe2O7 was found to be dependent on the temperature, and the overpotential for water oxidation was markedly lower at 70 oC than at 30 oC. Namely, at pH 7, O2 evolution initiated with overpotentials of approximately 100 and 300 mV at 70 and 30 oC, respectively. When lanthanum-substituted Sr3Fe2O7, Sr2.6La0.4Fe2O7, was used to catalyze O2 evolution, the distinctive temperature dependence disappeared and O2 evolution was driven with a low overpotential even at 30 oC. These results suggest that the formation of Fe4+ is important for decreasing the overpotential for water oxidation to produce O2.

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Cross-camera complementary vehicle matching via feature expandsion for video forensics

Cross-camera complementary vehicle matching via feature expa...

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IEEE International Symposium on Consumer Electronics (ISCE)

作者： Chao-Yung Hsu Chih-Yang Lin Li-Wei Kang Hong-Yuan Mark Liao Institute of Information Science Academia Sinica Taipei Taiwan Department of Computer Science and Information Engineering Asia University Taichung Taiwan Graduate School of Engineering Science and Technology-Doctoral Program and Department of Computer Science and Information Engineering National Yunlin University of Science and Technology Yunlin Taiwan

ISBN: (纸本)9781467361989

In this paper, we will investigate a more challenging vehicle matching problem. The problem is formulated as invariant image feature matching among opposite viewpoints of cameras, i.e. complementary object matching. For example, a front vehicle object may be given as a query to retrieve a rear vehicle object of the same vehicle. To solve the complementary object matching, invariant image feature is first extracted based on ASIFT (affine and scale-invariant feature transform) for each detected vehicle in a camera network. Then, the ASIFT feature is expanded via a special vehicle database. As a result, cross-camera vehicle matching with the help of complementary part can be greatly improved. Experimental results demonstrate the effectiveness of the proposed algorithm and the feasibility to video forensics applications.

关键词： Vehicles Cameras Databases Feature extraction Visualization Digital forensics

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Effect of dislocation density on the initiation of plastic deformation on Fe-C steels

Effect of dislocation density on the initiation of plastic d...

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作者： Sekido, Kaoru Ohmura, Takahito Hara, Toru Tsuzaki, Kaneaki Doctoral Program in Materials Science and Engineering University of Tsukuba Tsukuba 305-0047 Japan National Institute for Materials Science Tsukuba 305-0047 Japan

The effect of pre-existing dislocations and interstitial carbon on the initiation of plastic deformation in interstitial free (IF) steel and ultra low carbon (ULC) steel were investigated by the nanoindentation technique. The critical load, Pc, of the pop-in phenomenon, which corresponds to plasticity initiation, appeared clearly on the loading curve. The Pc in high dislocation density materials was smaller than that in low dislocation density materials with no difference between IF and ULC while the Pc in low dislocation density materials was remarkably higher in ULC than in IF. These results indicate that the interstitial carbon in the matrix does not affect the pop-in phenomenon when there are pre-existing dislocations or dislocation sources, and we discuss the reason for their occurrence occurs in high dislocation density materials. © 2012 The Japan Institute of Metals.

关键词： Nanoindentation

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Real-time fall detecting system using a tri-axial accelerometer for home care

Real-time fall detecting system using a tri-axial accelerome...

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2012 International Conference on Biomedical engineering and Biotechnology, iCBEB 2012

作者： Lan, Chien-Cheng Hsueh, Ya-Hsin Hu, Rong-Yuan Graduate School of Electronic Engineering Doctoral Program National Yunlin University of Science and Technology Yunlin Taiwan Department of Electronic Engineering National Yunlin University of Science and Technology Yunlin Taiwan

ISBN: (纸本)9780769547060

There has been a considerable increase in the population proportion of senior people among global population. Fall often happens among these senior people, which is also the leading cause of their death. A real-time fall detection system may help us to detect fall events among elderly people in time and reduce the overall casualty rate. This paper proposed a home-based, real-time fall detection system that not only can distinguish up to 4 different kinds of fall events (forward, backward, rightward and leftward), but is also portable, low-cost and with high accuracy rate. The system includes a real-time fall detection band, a home server, and GSM instant messaging function which can transfer fall alert, send emergency help messages. © 2012 IEEE.

关键词： Fall detection

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