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Surface modification of yttria-stabilized tetragonal zirconia with different glass based liners

Dental Materials 2016年 32卷 e95-e96页

作者： D. Silva-Herzog Rivera D. Masuoka-Ito L.O. Sanchez-Vargas J.L. Menchaca-Arredondo A. Aragón-Piña B.I. Cerda-Cristerna Institutional Doctoral Program of Engineering and Materials Science Universidad Autónoma De San Luis Potosí México Mexico Dentistry Department Universidad Autónoma De Aguascalientes México Mexico Faculty of Physics and Mathematics Universidad Autónoma De Nuevo León México Mexico Research Center and Post-Graduate Studies Universidad Autónoma De San Luis Potosí México Mexico Faculty of Dentistry Río Blanco Universidad Veracruzana-Región Córdoba-Orizaba México Mexico

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Anaerobic sequencing batch reactor in pilot scale for treatment of tofu industry wastewater

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AIP Conference Proceedings 2015年第1期1699卷

作者： Suparni Setyowati Rahayu Purwanto Budiyono 1Doctoral Program in Environmental Science University of Diponegoro Semarang Indonesia 2Department of Mechanical Engineering State Polytechnic of Semarang Semarang Indonesia 3Department of Chemical Engineering Faculty of Engineering Diponegoro University Semarang Indonesia

The small industry of tofu production process releases the waste water without being processed first, and the wastewater is directly discharged into water. In this study, Anaerobic Sequencing Batch Reactor in Pilot Scale for Treatment of Tofu Industry was developed through an anaerobic process to produce biogas as one kind of environmentally friendly renewable energy which can be developed into the countryside. The purpose of this study was to examine the fundamental characteristics of organic matter elimination of industrial wastewater with small tofu effective method and utilize anaerobic active sludge with Anaerobic Sequencing Bath Reactor (ASBR) to get rural biogas as an energy source. The first factor is the amount of the active sludge concentration which functions as the decomposers of organic matter and controlling selectivity allowance to degrade organic matter. The second factor is that HRT is the average period required substrate to react with the bacteria in the Anaerobic Sequencing Bath Reactor (ASBR).The results of processing the waste of tofu production industry using ASBR reactor with active sludge additions as starter generates cumulative volume of 5814.4 mL at HRT 5 days so that in this study it is obtained the conversion 0.16 L of CH4/g COD and produce biogas containing of CH4: 81.23% and CO2: 16.12%. The wastewater treatment of tofu production using ASBR reactor is able to produce renewable energy that has economic value as well as environmentally friendly by nature.

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Comparative study of leaf image recognition with a novel learning-based approach

Comparative study of leaf image recognition with a novel lea...

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science and Information Conference (SAI)

作者： Jou-Ken Hsiao Li-Wei Kang Ching-Long Chang Chih-Yang Lin 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 Department of Computer Science and Information Engineering Asia University Taichung 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, we conduct a comparative study on leaf image recognition and propose a novel learning-based leaf image recognition technique via sparse representation (or sparse coding) for automatic plant identification. In our learning-based method, 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. Moreover, we also implement a general bag-of-words (BoW) model-based recognition system for leaf images, used for comparison. We experimentally compare the two approaches and show unique characteristics of our sparse coding-based framework. As a result, efficient leaf recognition can be achieved on public leaf image dataset based on the two evaluated methods, where the proposed sparse coding-based framework can perform better.

关键词： Image recognition Dictionaries Training Feature extraction Shape Vectors Image coding

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Learning sparse representation for leaf image recognition

Learning sparse representation for leaf image recognition

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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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