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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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Polymer concrete reinforced with luffa fibers: Effect of gamma radiation

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Revista Tecnica de la Facultad de Ingenieria Universidad del Zulia 2014年第3期37卷 22-29页

作者： Martínez-Barrera, Gonzalo Martínez-López, Miguel Vigueras-Santiago, Enrique Gencel, Osman Beycioglu, Ahmet Dos Reis, João Marciano Laredo Facultad de Química Universidad Autónoma del Estado de México Km.12 de la carretera Toluca-Atlacomulco San Cayetano Mexico Civil Engineering Department Faculty of Engineering Bartin University Bartin Turkey Civil Engineering Department Faculty of Technology Düzce University Düzce Turkey Theoretical and Applied Mechanics Laboratory - LMTA Mechanical Engineering Post Graduate Program - PGMEC Universidade Federal Fluminense - UFF RuaPasso da Pátria 156 Bl. E sala 216 Niterói RJ Brazil

The interest of many research groups regarding manufacture of composite materials by using natural fibers is increasing world-wide. The main objectives involve the improvement of mechanical properties, mainly those related to resistance and elasticity. In the present study in a first stage, polymer concrete specimens were elaborated by using an unsaturated polyester resin, silica sand and luffa fibers; after, they were gamma irradiated at different doses and their mechanical properties were evaluated. Two different silica particle sizes (0.15 mm and 0.6 mm), and four different luffa fiber concentrations (0.3, 0.6, 0.9 and 1.2 wt%) were used, as well as 50 and 100 kGy of radiation dose. The results show a gradually diminution of compressive strength and modulus of elasticity when adding luffa fiber concentration. Nevertheless, such mechanical features are increasing when polymer concrete is gamma irradiated.

关键词： Unsaturated polymers

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Influence of recycled aggregate on the rheological behavior of cement mortar

Influence of recycled aggregate on the rheological behavior ...

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14th International Conference on Non-Conventional Materials and Technologies for Sustainable Engineering, NOCMAT 2013

作者： Lima, Paulo Roberto Lopes Filho, Romildo Dias Toledo Da Fonseca Martins Gomes, Otávio 1Post-graduate Program of Civil and Environmental Engineering Department of Technology State University of Feira de Santana Av. Transnordestina S/N-Novo Horizonte Feira de Santana Bahia 44036-900 Brazil Civil Engineering Program/COPPE Federal University of Rio de Janeiro Rio de Janeiro Brazil Centre for Mineral Technology-CETEM Av. Pedro Calmon 900 21941-908 Rio de Janeiro Brazil University of Liege GeMMe Georesources and Geoimaging Sart Tilman B52 4000 Liege Belgium

ISBN: (纸本)9783037859810

In this work it was studied the influence of recycled fine aggregate obtained from construction and demolition waste (CDW) on the rheological properties of Portland cement mortars. The CDW was initially separate in their main constituents (mortar, ceramic and concrete debris) at the laboratory and then grinded separately to the sand size in order to generate more homogeneous fine aggregates. The characterization of the natural and recycled sands was carried out through physical tests, X-ray diffraction, scanning electron microscopy (SEM), and image analysis (shape and texture description parameters). A conventional mortar and three mortars containing recycled sands were produced with a sand/cement ratio of 4 and consistency index of 255±5 mm. The consistency was kept constant by ranging the water-cement ratio from 0.58 to 1.14. The rheological study was performed using a rotating viscometer to obtain torque-rotation ratio and to calculate the yield stress and plastic viscosity. The results indicate that the presence of recycled aggregate causes a lowering of both yield stress and plastic viscosity with respect to the mortar containing natural aggregate. © (2014) Trans Tech Publications, Switzerland.

关键词： Mortar

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Towards an Ontology of Terms on Technical Debt

Towards an Ontology of Terms on Technical Debt

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International Workshop on Managing Technical Debt (MTD)

作者： Nicolli S.R. Alves Leilane F. Ribeiro Vivyane Caires Thiago S. Mendes Rodrigo O. Spínola Graduate Program in Systems and Computer Salvador University - UNIFACS Salvador Brazil Fraunhofer Project Center for Software and System Engineering UFBA Salvador Brazil Information Technology Department IFBA Santo Amaro Bahia Brazil

Technical debt is a term that has been used to describe the increased cost of changing or maintaining a system due to shortcuts taken during its development. As technical debt is a recent research area, its different types and their indicators are not organized yet. Therefore, this paper proposes an ontology of terms on technical debt in order to organize a common vocabulary for the area. The organized concepts derived from the results of a systematic literature mapping. The proposed ontology was evaluated in two steps. In the first one, some ontology design quality criteria were used. For the second one, a specialist in the area performed an initial evaluation. This work contributes to evolve the Technical Debt Landscape through the organization of the different types of technical debt and their indicators. We consider this an important contribution for both researchers and practitioners because this information was spread out in the literature hindering their use in research and development activities.

关键词： Ontologies Software Documentation Organizations OWL Vocabulary Computer architecture

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Erratum to: Antimicrobials: a global alliance for optimizing their rational use in intra-abdominal infections (AGORA)

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World journal of emergency surgery : WJES 2017年第1期12卷 35页

作者： M Sartelli D G Weber E Ruppé M Bassetti B J Wright L Ansaloni F Catena F Coccolini F M Abu-Zidan R Coimbra E E Moore F A Moore R V Maier J J De Waele A W Kirkpatrick E A Griffiths C Eckmann A J Brink J E Mazuski A K May R G Sawyer D Mertz P Montravers A Kumar J A Roberts J L Vincent R R Watkins W Lowman B Spellberg I J Abbott A K Adesunkanmi S Al-Dahir M N Al-Hasan F Agresta A A Althani S Ansari R Ansumana G Augustin M Bala Z J Balogh O Baraket A Bhangu M A Beltrán M Bernhard W L Biffl M A Boermeester S M Brecher J R Cherry-Bukowiec O R Buyne M A Cainzos K A Cairns A Camacho-Ortiz S J Chandy A Che Jusoh A Chichom-Mefire C Colijn F Corcione Y Cui D Curcio S Delibegovic Z Demetrashvili B De Simone S Dhingra J J Diaz I Di Carlo A Dillip S Di Saverio M P Doyle G Dorj A Dogjani H Dupont S R Eachempati M A Enani V N Egiev M M Elmangory P Ferrada J R Fitchett G P Fraga N Guessennd H Giamarellou W Ghnnam G Gkiokas S R Goldberg C A Gomes H Gomi M Guzmán-Blanco M Haque S Hansen A Hecker W R Heizmann T Herzog A M Hodonou S K Hong R Kafka-Ritsch L J Kaplan G Kapoor A Karamarkovic M G Kees J Kenig R Kiguba P K Kim Y Kluger V Khokha K Koike K Y Kok V Kong M C Knox K Inaba A Isik K Iskandar R R Ivatury M Labbate F M Labricciosa P F Laterre R Latifi J G Lee Y R Lee M Leone A Leppaniemi Y Li S Y Liang T Loho M Maegele S Malama H E Marei I Martin-Loeches S Marwah A Massele M McFarlane R B Melo I Negoi D P Nicolau C E Nord R Ofori-Asenso A H Omari C A Ordonez M Ouadii G A Pereira Júnior D Piazza G Pupelis T M Rawson M Rems S Rizoli C Rocha B Sakakushev M Sanchez-Garcia N Sato H A Segovia Lohse G Sganga B Siribumrungwong V G Shelat K Soreide R Soto P Talving J V Tilsed J F Timsit G Trueba N T Trung J Ulrych H van Goor A Vereczkei R S Vohra I Wani W Uhl Y Xiao K C Yuan S K Zachariah J R Zahar T L Zakrison A Corcione R M Melotti C Viscoli P Viale Department of Surgery Macerata Hospital Via Santa Lucia 2 62100 Macerata Italy. Department of Trauma Surgery Royal Perth Hospital Perth Australia. Genomic Research Laboratory Geneva University Hospitals Geneva Switzerland. Infectious Diseases Division Santa Maria Misericordia University Hospital Udine Italy. Department of Emergency Medicine and Surgery Stony Brook University School of Medicine Stony Brook NY USA. General Surgery Department Papa Giovanni XXIII Hospital Bergamo Italy. Department of General Maggiore Hospital Parma Italy. Department of Surgery "Infermi" Hospital Rimini Italy. Department of Surgery College of Medicine and Health Sciences UAE University Al-Ain United Arab Emirates. Department of Surgery UC San Diego Medical Center San Diego USA. Department of Surgery University of Colorado Denver Health Medical Center Denver CO USA. Department of Surgery Division of Acute Care Surgery and Center for Sepsis and Critical Illness Research University of Florida College of Medicine Gainesville FL USA. Department of Surgery University of Washington Seattle WA USA. Department of Critical Care Medicine Ghent University Hospital Ghent Belgium. General Acute Care and Trauma Surgery Foothills Medical Centre Calgary AB Canada. General and Upper GI Surgery Queen Elizabeth Hospital Birmingham UK. Department of General Visceral and Thoracic Surgery Klinikum Peine Academic Hospital of Medical University Hannover Peine Germany. Department of Clinical microbiology Ampath National Laboratory Services Milpark Hospital Johannesburg South Africa. Department of Surgery School of Medicine Washington University in Saint Louis Saint Louis MO USA. Departments of Surgery and Anesthesiology Division of Trauma and Surgical Critical Care Vanderbilt University Medical Center Nashville TN USA. Department of Surgery University of Virginia Health System Charlottesville VA USA. Departments of Medicine Clinical Epidemiology and Biostatistics and Pathology and Mo

[This corrects the article DOI: 10.1186/s13017-016-0089-y.].

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A systematic review of software requirements selection and prioritization using SBSE approaches

A systematic review of software requirements selection and p...

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5th International Symposium on Search-Based Software Engineering, SSBSE 2013

作者： Pitangueira, Antônio Mauricio Maciel, Rita Suzana P. De Oliveira Barros, Márcio Andrade, Aline Santos Federal University of Bahia Computer Science Department Brazil Post-graduate Information Systems Program Brazil Federal Institute of Bahia Brazil

ISBN: (纸本)9783642397417

Selection and prioritization of software requirements represents an area of interest in Search-Based Software Engineering (SBSE) and its main focus is finding and selecting a set of requirements that may be part of a software release. This paper uses a systematic review to investigate which SBSE approaches have been proposed to address software requirement selection and prioritization problems. The search strategy identified 30 articles in this area and they were analyzed for 18 previously established quality criteria. The results of this systematic review show which aspects of the requirements selection and prioritization problems were addressed by researchers, the methods approaches and search techniques currently adopted to address these problems, and the strengths and weaknesses of each of these techniques. The review provides a map showing the gaps and trends in the field, which can be useful to guide further research. © 2013 Springer-Verlag.

关键词： Requirements engineering

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Sequence data and association statistics from 12,940 type 2 diabetes cases and controls

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Scientific data 2017年第1期4卷 170179页

作者： Jason Flannick Christian Fuchsberger Anubha Mahajan Tanya M Teslovich Vineeta Agarwala Kyle J Gaulton Lizz Caulkins Ryan Koesterer Clement Ma Loukas Moutsianas Davis J McCarthy Manuel A Rivas John R B Perry Xueling Sim Thomas W Blackwell Neil R Robertson N William Rayner Pablo Cingolani Adam E Locke Juan Fernandez Tajes Heather M Highland Josee Dupuis Peter S Chines Cecilia M Lindgren Christopher Hartl Anne U Jackson Han Chen Jeroen R Huyghe Martijn van de Bunt Richard D Pearson Ashish Kumar Martina Müller-Nurasyid Niels Grarup Heather M Stringham Eric R Gamazon Jaehoon Lee Yuhui Chen Robert A Scott Jennifer E Below Peng Chen Jinyan Huang Min Jin Go Michael L Stitzel Dorota Pasko Stephen C J Parker Tibor V Varga Todd Green Nicola L Beer Aaron G Day-Williams Teresa Ferreira Tasha Fingerlin Momoko Horikoshi Cheng Hu Iksoo Huh Mohammad Kamran Ikram Bong-Jo Kim Yongkang Kim Young Jin Kim Min-Seok Kwon Juyoung Lee Selyeong Lee Keng-Han Lin Taylor J Maxwell Yoshihiko Nagai Xu Wang Ryan P Welch Joon Yoon Weihua Zhang Nir Barzilai Benjamin F Voight Bok-Ghee Han Christopher P Jenkinson Teemu Kuulasmaa Johanna Kuusisto Alisa Manning Maggie C Y Ng Nicholette D Palmer Beverley Balkau Alena Stančáková Hanna E Abboud Heiner Boeing Vilmantas Giedraitis Dorairaj Prabhakaran Omri Gottesman James Scott Jason Carey Phoenix Kwan George Grant Joshua D Smith Benjamin M Neale Shaun Purcell Adam S Butterworth Joanna M M Howson Heung Man Lee Yingchang Lu Soo-Heon Kwak Wei Zhao John Danesh Vincent K L Lam Kyong Soo Park Danish Saleheen Wing Yee So Claudia H T Tam Uzma Afzal David Aguilar Rector Arya Tin Aung Edmund Chan Carmen Navarro Ching-Yu Cheng Domenico Palli Adolfo Correa Joanne E Curran Dennis Rybin Vidya S Farook Sharon P Fowler Barry I Freedman Michael Griswold Daniel Esten Hale Pamela J Hicks Chiea-Chuen Khor Satish Kumar Benjamin Lehne Dorothée Thuillier Wei Yen Lim Jianjun Liu Marie Loh Solomon K Musani Sobha Puppala William R Scott Loïc Yengo Sian-Tsung Tan Herman A Taylor Farook Thameem Gregory Wilson Tien Yin Wong Pål Rasmu Department of Molecular Biology Massachusetts General Hospital Boston Massachusetts USA. Program in Medical and Population Genetics Broad Institute Cambridge Massachusetts USA. Department of Biostatistics and Center for Statistical Genetics University of Michigan Ann Arbor Michigan USA. Wellcome Trust Centre for Human Genetics Nuffield Department of Medicine University of Oxford Oxford UK. Harvard-MIT Division of Health Sciences and Technology Massachusetts Institute of Technology Cambridge Massachusetts USA. Department of Statistics University of Oxford Oxford UK. Genetics of Complex Traits University of Exeter Medical School University of Exeter Exeter UK. MRC Epidemiology Unit Institute of Metabolic Science University of Cambridge Cambridge UK. Department of Twin Research and Genetic Epidemiology King's College London London UK. Oxford Centre for Diabetes Endocrinology and Metabolism Radcliffe Department of Medicine University of Oxford Oxford UK. Department of Human Genetics Wellcome Trust Sanger Institute Hinxton Cambridgeshire UK. School of Computer Science McGill University Montreal Quebec Canada. McGill University and Génome Québec Innovation Centre Montreal Quebec Canada. Human Genetics Center The University of Texas Graduate School of Biomedical Sciences at Houston The University of Texas Health Science Center at Houston Houston Texas USA. Department of Biostatistics Boston University School of Public Health Boston Massachusetts USA. National Heart Lung and Blood Institute's Framingham Heart Study Framingham Massachusetts USA. Medical Genomics and Metabolic Genetics Branch National Human Genome Research Institute National Institutes of Health Bethesda Maryland USA. Department of Biostatistics Harvard School of Public Health Boston Massachusetts USA. Chronic Disease Epidemiology Swiss Tropical and Public Health Institute University of Basel Basel Switzerland. Institute of Genetic Epidemiology Helmholtz Zentrum München German R

To investigate the genetic basis of type 2 diabetes (T2D) to high resolution, the GoT2D and T2D-GENES consortia catalogued variation from whole-genome sequencing of 2,657 European individuals and exome sequencing of 12,940 individuals of multiple ancestries. Over 27M SNPs, indels, and structural variants were identified, including 99% of low-frequency (minor allele frequency [MAF] 0.1-5%) non-coding variants in the whole-genome sequenced individuals and 99.7% of low-frequency coding variants in the whole-exome sequenced individuals. Each variant was tested for association with T2D in the sequenced individuals, and, to increase power, most were tested in larger numbers of individuals (>80% of low-frequency coding variants in ~82 K Europeans via the exome chip, and ~90% of low-frequency non-coding variants in ~44 K Europeans via genotype imputation). The variants, genotypes, and association statistics from these analyses provide the largest reference to date of human genetic information relevant to T2D, for use in activities such as T2D-focused genotype imputation, functional characterization of variants or genes, and other novel analyses to detect associations between sequence variation and T2D.

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Six-phase open-end machine conversion system with reduced number of controlled components

Six-phase open-end machine conversion system with reduced nu...

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Annual Conference of Industrial Electronics Society

作者： Victor F. M. B. Melo Cursino B. Jacobina Nady Rocha Nustenil S. Marinus Post-Graduate Program in Electrical Engineering UFCG Electrical Engineering Department Federal University of Campina Grande - UFCG Campina Grande Paraíba Brazil Federal University of Paraíba - UFPB João Pessoa Paraíba Brazil Federal Institute of Technology of Ceara - IFCE

This paper presents two six-phase open-end machine conversion systems. They are composed of three three-leg converters connected in series to a six-phase machine with open terminals, in an open-end winding connection. The converters use diodes to replace controlled switches, making the conversion system non-reversible and with a reduced number of controlled components. In this case, the machine must work always as a generator. A study concerning harmonic distortion and semiconductor losses is carried out. PWM and control strategies are developed. Simulation and experimental results in order to test these strategies are presented.

关键词： Topology Voltage control Harmonic distortion Control systems Generators Pulse width modulation Windings

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Evaluation of e-learning application system performance based on the users' perceptions

Evaluation of e-learning application system performance base...

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2013 2nd IEEE International Conference on Teaching, Assessment and Learning for Engineering, TALE 2013

作者： Diana Suharjito Information Technology Department School of Computer Science Bina Nusantara University Jakarta Indonesia Information Technology Program Bina Nusantara Graduate Program Bina Nusantara University Jakarta Indonesia

ISBN: (纸本)9781467363556

The use of IT applications in teaching and learning had changed the way students learn using e-learning which was more modern, effective and efficient. This paper will explain the result for e-learning system performance evaluation based on faculties and students perspective using the Web-Based Evaluation model of E-Learning system. Number of samples used in this study were 348 students and 270 lecturers who use e-learning system namely Binusmaya. Results obtained from this study were the characteristics and problems of e-learning systems that were complained by users as well as an alternative solution to solve these problems and suggest some recommendations. © 2013 IEEE.

关键词： Students

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