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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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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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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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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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A lightweight method for wireless sensor network intrusion detections

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ICIC Express Letters 2013年第6期7卷 1793-1798页

作者： Chen, Rung-Ching Hsieh, Chia-Fen Huang, Yung-Fa Department of Information Management College of Informatics Chaoyang University of Technology No. 168 Jifeng E. Rd Wufeng District Taichung 41349 Taiwan Graduate Institute of Informatics Doctoral Program College of Informatics Chaoyang University of Technology No. 168 Jifeng E. Rd Wufeng District Taichung 41349 Taiwan Department of Information and Communication Engineering College of Informatics Chaoyang University of Technology No. 168 Jifeng E. Rd Wufeng District Taichung 41349 Taiwan

Wireless sensor networks can be applied to health care and disaster response, etc. The importance and accuracy of the information requirements of wireless sensors are more stringent. It corresponding to the use of information security should be taken seriously. The detection technology of intrusion detection system (IDS) will affect the lifetime of entire wireless sensor network (WSN). This study combines ontology with intrusion detection system to propose a lightweight ontology intrusion detection system (OWIDS). The system builds the relationship of sensor node in the ontology to detect Sybil attack firstly. The patrol node loads a part of the ontology to detect Sybil attack. Finally, the system uses the isolation table to continue isolation abnormal nodes to avoid duplicate detection energy-consuming. The preliminary experimental result shows that our proposed method can reduce the energy consumption for wireless sensor network intrusion detection, and improve the availability of intrusion detection systems. © 2013 ISSN 1881-803X.

关键词： Ontology

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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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Semantic to intelligent web era: Building blocks, applications, and current trends 13

Semantic to intelligent web era: Building blocks, applicatio...

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5th International Conference on Management of Emergent Digital EcoSystems, MEDES 2013

作者： Tekli, Joe Rjeily, Antoine Abou Chbeir, Richard Tekli, Gilbert Houngue, Pélagie Yetongnon, Kokou Abebe, Minale Ashagrie School of Engineering Dept. of Elec. and Compt. Eng. Lebanese American University 36 Byblos Lebanon TICKET Laboratory Faculty of Engineering Antonine University 40016 Baabda Lebanon LIUPPA Lab. Univ. of Pau and Adour Countries CS Dept. 64000 Anglet France Research and Development Department Pearl Advisers Offshore Houston Office Houston TX 77251 United States LE2I CNRS Univ. of Bourgogne 21000 Dijon France IT Doctoral Program Addis Ababa University 3131 Addis Ababa Ethiopia

ISBN: (纸本)9781450320047

The Web has known a very fast evolution: going from the Web 1.0, known as Web of Documents where users are merely consumers of static information, to the more dynamic Web 2.0, known as social or collaborative Web where users produce and consume information simultaneously, and entering the more sophisticated Web 3.0, known as the Semantic Web by giving information a well-defined meaning so that it becomes more easily accessible by human users and automated processes. Fostering service intelligence and atomicity (the ability of autonomous services to interact automatically), remains one of the most upcoming challenges of the Semantic Web. This promotes the dawn of a new era: the Intelligent Web (Web 4.0), known as the Internet of Things (IoT), an extension of the Semantic Web where (physical/software) objects and services autonomously interact in a multimedia virtual environment, provided with embedded communication capabilities, common semantics and addressing schemes, promoting the concept of Digital Web Ecosystems where every where (human and software) agents collaborate, interact, compete, and evolve autonomously in order to automatically solve complex and dynamic problems. This paper briefly describes the recent evolution of the Web providing an overview of the technological breakthroughs contributing to this evolution, covering: knowledge bases and semantic data description, XML-based data representation and manipulation technologies (i.e., RDF, RDFS, OWL, and SPARQL) as well as the main challenges toward achieving the Intelligent Web: connectivity, semantic heterogeneity, collective knowledge management, collective intelligence, as well as data sustainability and evolution. We also present some of the main application domains characterizing the Intelligent (Semantic) Web, from information retrieval and content analysis, to systems status monitoring and improving business life-cycle through ubiquitous computing. © 2013 ACM.

关键词： Semantic Web

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A new way of architecting the enterprise 12

A new way of architecting the enterprise

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International Conference on Management of Emergent Digital EcoSystems, MEDES 2012

作者： Dino, Nassir Dico, Awel Midekso, Dida IT Doctoral Program Software Engineering Track Addis Ababa University P.O.BOX 1176 A.A. Ethiopia

ISBN: (纸本)9781450317559

In order to enable business agility, different architectural styles for organizing information systems, business and technology have emerged. Architecture involves top-level management, the business entities in the organization down to the grass-root level views. While the values of both Service Oriented Architecture and Enterprise Architecture are emerging in industry, the IT based organizations have no clear guidance on how to use these two sets of architectural approaches together. In the same token, enterprises and architecture practitioners strongly need a reference model and guideline to legitimate, rationalize, and justify courses of action taken in their business systems architecture and design. This research work proposes a new approach referred to as Service Oriented Enterprise Architecture (SOEA) framework to address this enterprise need. SOEA framework attempts to resolve the limitations that arise when Enterprise Architecture (EA) and SOA approaches are used independently. This framework, therefore, links an SOA style with the EA process to realize and help organizations benefit from SOA effort as a key part of their Enterprise Architecture. Copyright © 2012 ACM.

关键词： Information services

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