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Telkomnika (Telecommunication Computing Electronics and Control) 2016年第2期14卷 674-683页

作者： Wahyudin, Irfan Djatna, Taufik Kusuma, Wisnu Ananta Computer Science Mathematic and Natural Science Bogor Agricultural University Indonesia Postgraduate Program in Dept. Agro-industrial Technology Bogor Agricultural University Kampus IPB Darmaga P.O. Box 220 Bogor Indonesia

In Small Medium Enterprise's (SME) financing risk analysis, the implementation of qualitative model by giving opinion regarding business risk is to overcome the subjectivity in quantitative ***, there is another problem that the decision makers have difficulity to quantify the risk's weight that delivered through those opinions. Thus, we focused on three objectives to overcome the problems that oftenly occur in qualitative model implementation. First, we modelled risk clusters using K-Means clustering, optimized by Pillar Algorithm to get the optimum number of clusters. Secondly, we performed risk measurement by calculating term-importance scores using TF-IDF combined with term-sentiment scores based on SentiWordNet 3.0 for Bahasa Indonesia. Eventually, we summarized the result by correlating the featured terms in each cluster with the 5Cs Credit Criteria. The result shows that the model is effective to group and measure the level of the risk and can be used as a basis for the decision makers in approving the loan proposal. © 2016 Universitas Ahmad Dahlan.

关键词： Sentiment analysis

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GISTelemed: An online-based GIS approach to epidemiological analysis in telemedicine systems

GISTelemed: An online-based GIS approach to epidemiological ...

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Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

作者： Andrei de Souza Inacio Alexandre Savaris João Marcus Alves Aldo von Wangenheim Federal Institute of Education Science and Technology of Santa Catarina Gaspar SC Brazil Postgraduate Program in Computer Science Federal University of Santa Catarina Florianópolis Brazil Telemedicine Laboratory Brazilian National Institute for Digital Convergence

Large-scale telemedicine systems provide extensive amounts of data that can be used to gather epidemiological information. Epidemiologists have been using GIS systems for the easy and quick visualization of data and to perform georeferenced epidemiological analysis. This paper presents GISTelemed, a georeferenced epidemiological analysis tool developed as part of the Santa Catarina State Integrated Telemedicine and Telehealth System (STT/SC), a statewide telemedicine infrastructure in Brazil. The GISTelemed module offers an architecture supporting real-time recovery, information visualization and epidemiological analysis from structured and semi-structured data. The architecture uses controlled vocabularies for data catalogization and a specially developed ETL process that allows sending and receiving data on a large number of protocols, including DICOM SR and SQL. We performed a case study with users that indicates good perceived ease of use and usefulness of GISTelemed by both medical staff and health care managers.

关键词： Telemedicine Public healthcare Data visualization IEC Standards ISO Standards Diseases

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Quality Evaluation of Poison Control Information Systems: A Case Study of the DATATOX System

Quality Evaluation of Poison Control Information Systems: A ...

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Annual IEEE Symposium on computer-Based Medical Systems

作者： João M. Alves Danielle B. L. Albino Marisete C. Resener Marlene Zannin Alexandre Savaris Christiane G. von Wangenheim Aldo von Wangenheim Santa Catarina Toxicology Inf. Centre Brazilian Assoc. of Toxicology Inf. & Assistance Centres Florianopolis Brazil Universidade Federal de Santa Catarina – UFSC Florianópolis Brazil Telemedicine Laboratory Brazilian Institute for Digital Convergence – INCoD Florianópolis Brazil Postgraduate Program in Computer Science Federal University of Santa Catarina – UFSC Brazil Postgraduate Program in Computer Science Universidade Federal de Santa Catarina Florianopolis SC BR

Poison Control Centres (PCCs) provide information and advise about poisoning, poisoning case management, and toxicovigilance activities. They are supported by information systems that help physicians and toxicologists to attend cases of patient exposure to poisonous agents. Still, there is no consensus on how to evaluate software quality of such systems. This work performs a case study applying a customized software quality evaluation model -- the AdEQUATE model -- in order to assess the software quality of a poison control information system widely used in Brazil - the DATATOX information system. Analysing the specificities of DATATOX we customized AdEQUATE, a model for evaluating the quality of telemedicine systems based on the ISO/IEC 25010 standard through the use of a questionnaire. The questionnaire has been answered by 49 end users, and the acquired data were analysed employing descriptive statistics. Overall, the DATATOX information system has been perceived as having a good quality, specifically for characteristics like effectiveness, efficiency, and satisfaction. Nevertheless, few characteristics have been considered of low quality, including reliability, compatibility, and age. As a complement, the work attest the feasibility on using AdEQUATE's questionnaires as an evaluation tool for software quality evaluation.

关键词： Toxicology Information systems Software quality Medical services Telemedicine Standards Databases

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Software Quality Evaluation of the Laboratory Information System Used in the Santa Catarina State Integrated Telemedicine and Telehealth System

Software Quality Evaluation of the Laboratory Information Sy...

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Annual IEEE Symposium on computer-Based Medical Systems

作者： João M. Alves Alexandre Savaris Christiane G. Von Wangenheim Aldo Von Wangenheim Postgraduate Program in Computer Science UFSC Florianópolis Brazil Postgrad. Program in Comput. Sci. Fed. Univ. of Santa Catarina Florianopolis Brazil Postgrad. Program in Comput. Sci. Universidade Federal de Santa Catarina Florianopolis SC BR

A laboratory information system (LIS) manages information about patients, examinations, results, and quality control. In this context, software quality is important in order to prevent risks for the patient. Studies show that many LISs have a low quality degree, and although the ISO/IEC 25010 standard defines software quality in general, so far there is no specific customization for a quality evaluation model tailored for such systems. This paper presents a case study applying a customized evaluation model - the AdEQUATE model - in order to evaluate the software quality of a LIS widely used in the State of Santa Catarina, Brazil - the LACEN system - from the perspective of its end users. Analyzing the characteristics of the LACEN system, we customized the AdEQUATE model - a model for quality evaluation of telemedicine systems based on the ISO/IEC 25010 standard through the use of a questionnaire. The questionnaire has been answered by 69 users (including physicians and biochemists), and its answers were analyzed using descriptive statistics. In general, the quality of the LACEN system has been considered as good, specifically for characteristics like effectiveness, efficiency, satisfaction, freedom from risk, functional suitability, and security. On the other hand, few characteristics have been considered of low quality, including performance efficiency and compatibility. Also, the collected data shows that it is feasible to use AdEQUATE's systematically derived questionnaire for detailed observations of quality degrees of the ISO/IEC 25010 standard characteristics and subcharacteristics.

关键词： Telemedicine Software quality IEC Standards ISO Standards Information systems Medical services

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The utilization of search engines by students of the Library and Information science program at Universitas Padjadjaran

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Journal of Physics: Conference Series 2018年第1期1114卷

作者： Nuning Kurniasih Nanik Kurniawati Yulianti Robbi Rahim Sujito Afiful Ikhwan Hasrat A. Aimang Farid Haluti Lusi Dwi Putri Darmawan Napitupulu Faculty of Communication Sciences Library and Information Science Program Universitas Padjadjaran Bandung Indonesia The National Archive of The Republic of Indonesia (ANRI) Jakarta Indonesia Sekolah Dasar Negeri 3 Rajapolah Tasikmalaya Indonesia School of Computer and Communication Engineering Universiti Malaysia Perlis Kubang Gajah Malaysia Department of English Language Education IAIN Surakarta Surakarta Indonesia Postgraduate Universitas Muhammadiyah Ponorogo Ponorogo Indonesia Universitas Muhammadiyah Luwuk Luwuk Banggai Indonesia Universitas Lancang Kuning Indonesia Research Center for Quality System and Testing Technology Indonesian Institute of Sciences Indonesia

Search engines have become an integral part of student learning activities. This study aims to see how the use of search engines by students, especially by students of the Library and Information science program, Faculty of Communication sciences, Universitas Padjadjaran. This study uses the mixed method. The research data was obtained through questionnaires, in-depth interviews, observations and literature studies. The results of the study showed that in learning activities, the respondents used search engines to find the references for college assignments and thesis writing material. The students also use search engines to meet daily information needs, solve problems, increase knowledge, reduce doubts, clarify things, entertain, fulfill curiosity about others, etc. The retrieval technique used by students is by using keywords/queries, Boolean logic, query strategies in the form of a brief search and using the advanced search feature. This research is expected to contribute to the university in supporting online-based learning facilities for students.

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BioTIME 2.0: Expanding and Improving a Database of Biodiversity Time Series

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Global Ecology and Biogeography 2025年第5期34卷

作者： Maria Dornelas Laura H. Antão Amanda E. Bates Viviana Brambilla Jonathan M. Chase Cher F. Y. Chow Ada Fontrodona-Eslava Anne E. Magurran Inês S. Martins Faye Moyes Alban Sagouis Samuel Adu-Acheampong Daniel Acquah-Lamptey Dušan Adam Penelope A. Ajani Aitor Albaina Pablo Almaraz Jeongseop An Roger Sigismund Anderson Madelaine Jean Robertson Anderson Alexsander Z. Antunes Ivan Arismendi Linda Armbrecht Pedro Aros-Mardones Sreejith Kalpuzha Ashtamoorthy Narayanan Ayyappan Gal Badihi Joseph J. Bailey Andrew H. Baird Mark Edward Baird Sreekumar Vadakkethil Balakrishnan José António L. Barão-Nóbrega Adi Barash Miguel Barbosa Jos Barlow Claus Bässler Matthieu Beaumont Natalie Beenaerts Tiago Octavio Begot Wallace Beiroz Ricardo Beldade David M. Bell Alecia Bellgrove Jonathan Belmaker Lisandro Benedetti-Cecchi Cassandra E. Benkwitt Pamela Medina-van Berkum Brandon T. Bestelmeyer Matthew G. Betts Maxwell Kelvin Billah Anne D. Bjorkman Magdalena Błażewicz Christopher P. Bloch Shane A. Blowes Antonio Bode Juliano A. Bogoni Thomas Bolger Timothy C. Bonebrake Erik Bonsdorff Roberta Bottarin Luke N. Brokensha Rob W. Brooker Andrew J. Brooks Helge Bruelheide Thiago Almeida Bueno Claire Laguionie Mariana Lopes Campagnoli James Cant Erica Pellegrini Caramaschi Alexandre Caron Tadhg Carroll Tancredi Caruso Juan Carvajal-Quintero Giuseppe Castaldelli Edward Castañeda-Moya Pedro V. Castilho Sonia Zanini Cechin Shahar Chaikin Uchangi Manjunatha Chandrashekara Tory J. Chase Chaolun Allen Chen Jorge José Cherem Sei-Woong Choi Erica M. Christensen Alexander V. Christianini Jackson Wing Four Chu Peter Coad Carl Van Colen Lise Comte Elisabeth J. Cooper J. Hans C. Cornelissen Eddy Cosson Unai Cotano Luc Crevecoeur Shannan Kyle Crow Graeme S. Cumming Vanessa S. Daga Gabriella Damasceno Gergana N. Daskalova Claire H. Davies Robert A. Davis Frank P. Day Sussy De-La-Zerda Amy Elizabeth Deacon Indradatta de Castro-Arrazola Steven Degraer Kharran Deonarinesingh Juan C. Diaz-Ricaurte Christopher R. Dickman Tara Dirilgen Ciaran John Dolan J. Emmet Centre for Biological Diversity School of Biology University of St Andrews Fife UK MARE—Centro de Ciências do Mar e do Ambiente Faculdade de Ciências Universidade de Lisboa Lisboa Portugal Research Centre for Ecological Change Organismal and Evolutionary Biology Research Programme Faculty of Biological and Environmental Sciences University of Helsinki Helsinki Finland Department of Biology University of Victoria Victoria British Columbia Canada German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig Leipzig Germany Department of Computer Science Martin Luther University Halle-Wittenberg Halle (Saale) Germany Leverhulme Centre for Anthropocene Biodiversity Department of Biology University of York York UK Department of Animal Biology and Conservation Science University of Ghana Accra Ghana Philipps Universität Marburg Marburg Germany Department of Forest Ecology Silva Tarouca Research Institute Brno Czech Republic School of Life Sciences University of Technology Sydney Sydney New South Wales Australia Zoology and Animal Cell Biology Department University of the Basque Country (UPV/EHU) Leioa Spain Grupo de Oceanografía de Ecosistemas Instituto de Ciencias Marinas de Andalucía CSIC Campus Universitario de Puerto Real Puerto Real Spain National Institute of Ecology Seocheon Republic of Korea African Regional Postgraduate Programme in Insect Science University of Ghana Accra Ghana Département de Biologie Université de Sherbrooke Sherbrooke Quebec Canada Núcleo de Conservação da Biodiversidade Instituto de Pesquisas Ambientais Secretaria de Meio Ambiente Infraestrutura e Logística do Estado de São Paulo São Paulo Brazil Department of Fisheries Wildlife and Conservation Sciences Oregon State University Corvallis Oregon USA Institute for Marine and Antarctic Studies Ecology & Biodiversity Centre University of Tasmania Hobart Tasmania Australia Graduate Program in Oceanography Department of Oceanography Faculty of Natural Scienc

Motivation Here, we make available a second version of the BioTIME database, which compiles records of abundance estimates for species in sample events of ecological assemblages through time. The updated version expands version 1.0 of the database by doubling the number of studies and includes substantial additional curation to the taxonomic accuracy of the records, as well as the metadata. Moreover, we now provide an R package (BioTIMEr) to facilitate use of the database. Main Types of Variables Included The database is composed of one main data table containing the abundance records and 11 metadata tables. The data are organised in a hierarchy of scales where 11,989,233 records are nested in 1,603,067 sample events, from 553,253 sampling locations, which are nested in 708 studies. A study is defined as a sampling methodology applied to an assemblage for a minimum of 2 years. Spatial Location and Grain Sampling locations in BioTIME are distributed across the planet, including marine, terrestrial and freshwater realms. Spatial grain size and extent vary across studies depending on sampling methodology. We recommend gridding of sampling locations into areas of consistent size. Time Period and Grain The earliest time series in BioTIME start in 1874, and the most recent records are from 2023. Temporal grain and duration vary across studies. We recommend doing sample-level rarefaction to ensure consistent sampling effort through time before calculating any diversity metric. Major Taxa and Level of Measurement The database includes any eukaryotic taxa, with a combined total of 56,400 taxa. Software Format csv and. SQL.

关键词： assemblage biodiversity community database ecoinformatics species taxa time

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Improving the user experience on mobile apps through data mining

Improving the user experience on mobile apps through data mi...

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International Conference on computer Supported Cooperative Work in Design

作者： Tássio de O. S. Auad Luiz Felipe C. Mendes Victor Ströele José Maria N. David Center of Graduate School - CES/JF Juiz de Fora Brazil Center of Graduate School — CES/JF Juiz de Fora Brazil Postgraduate Program in Computer Science — PGCC Federal University of Juiz de Fora Brazil

ISBN: (纸本)9781509019168

With the advance of mobile applications market, there is an increasing concern about the challenges when developing products that meet the many types of users and to harmonize each product with the various usage environments, thus, providing a good user experience. This situation leads to the need to develop a framework that makes applications become aware of the context and provides a self-learning of the user navigation. This article presents a theoretical framework and the TURAP operation process, a framework for Android applications that helps to tackle these challenges.

关键词： Context Data mining Mobile applications Navigation Visualization Usability Friction

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Hearing loss prevalence and years lived with disability, 1990-2019: Findings from the Global Burden of Disease Study 2019

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The Lancet 2021年第10278期397卷 996-1009页

作者： Haile, Lydia M. Kamenov, Kaloyan Briant, Paul Svitil Orji, Aislyn U. Steinmetz, Jaimie D. Abdoli, Amir Abdollahi, Mohammad Abu-Gharbieh, Eman Afshin, Ashkan Ahmed, Haroon Rashid, Tarik Ahmed Akalu, Yonas Alahdab, Fares Alanezi, Fahad Mashhour Alanzi, Turki M. Al Hamad, Hanadi Ali, Liaqat Alipour, Vahid Al-Raddadi, Rajaa M. Amu, Hubert Arabloo, Jalal Arab-Zozani, Morteza Arulappan, Judie Ashbaugh, Charlie Atnafu, Desta Debalkie Babar, Zaheer-Ud-Din Baig, Atif Amin Banik, Palash Chandra Bärnighausen, Till Winfried Barrow, Amadou Bender, Rose G. Bhagavathula, Akshaya Srikanth Bhardwaj, Nikha Bhardwaj, Pankaj Bibi, Sadia Bijani, Ali Burkart, Katrin Cederroth, Christopher R. Charan, Jaykaran Choudhari, Sonali Gajanan Chu, Dinh-Toi Couto, Rosa A.S. Dagnew, Amare Belachew Dagnew, Baye Dahlawi, Saad M.A. Dai, Xiaochen Dandona, Lalit Dandona, Rakhi Desalew, Assefa Dhamnetiya, Deepak Dhimal, Mandira Lamichhane Dhimal, Meghnath Doyle, Kerrie E. Duncan, Bruce B. Ekholuenetale, Michael Filip, Irina Fischer, Florian Franklin, Richard Charles Gaidhane, Abhay Motiramji Gaidhane, Shilpa Gallus, Silvano Ghamari, Farhad Ghashghaee, Ahmad Ghozali, Ghozali Gilani, Syed Amir Glǎvan, Ionela-Roxana Golechha, Mahaveer Goulart, Barbara Niegia Garcia Gupta, Veer Bala Gupta, Vivek Kumar Hamidi, Samer Hammond, Billy Randall Hay, Simon I. Hayat, Khezar Heidari, Golnaz Hoffman, Howard J. Hopf, Kathleen Pillsbury Hosseinzadeh, Mehdi Househ, Mowafa Hussain, Rabia Hwang, Bing-Fang Iavicoli, Ivo Ibitoye, Segun Emmanuel Ilesanmi, Olayinka Stephen Irvani, Seyed Sina Naghibi Islam, Sheikh Mohammed Shariful Iwagami, Masao Jacob, Louis Jayapal, Sathish Kumar Jha, Ravi Prakash Jonas, Jost B. Kalhor, Rohollah Al-Salihi, Nawzad Kameran Kandel, Himal Kasa, Ayele Semachew Kayode, Gbenga A. Khalilov, Rovshan Khan, Ejaz Ahmad Khatib, Mahalaqua Nazli Kosen, Soewarta Koyanagi, Ai Kumar, G. Anil Landires, Ivan Lasrado, Savita Lim, Stephen S. Liu, Xuefeng Lobo, Stany W. Lugo, Alessandra Makki, Alaa Mendoza, Walter Mersha, Amanual Getnet Mihretie, Kebadnew Mulatu Institute for Health Metrics and Evaluation University of Washington Seattle WA United States Department of Noncommunicable Diseases World Health Organization (WHO) Geneva Switzerland Department of Parasitology and Mycology Jahrom University of Medical Sciences Jahrom Iran The Institute of Pharmaceutical Sciences (TIPS) Tehran University of Medical Sciences Tehran Iran School of Pharmacy Tehran University of Medical Sciences Tehran Iran Clinical Sciences Department University of Sharjah Sharjah United Arab Emirates Department of Health Metrics Sciences School of Medicine University of Washington Seattle WA United States Department of Biosciences COMSATS Institute of Information Technology Islamabad Pakistan Department of Computer Science and Engineering University of Kurdistan Hewler Erbil Iraq Department of Medical Physiology University of Gondar Gondar Ethiopia Mayo Evidence-based Practice Center Mayo Clinic Foundation for Medical Education and Research Rochester MN United States Imam Abdulrahman Bin Faisal University Dammam Saudi Arabia Health Information Management and Technology Department Dammam Saudi Arabia Geriatric and Long Term Care Department Hamad Medical Corporation Doha Qatar Rumailah Hospital Hamad Medical Corporation Doha Qatar Department of Biological Sciences National University of Medical Sciences (NUMS) Rawalpindi Pakistan Health Management and Economics Research Center Tehran Iran Department of Community Medicine King Abdulaziz University Jeddah Saudi Arabia Department of Population and Behavioural Sciences University of Health and Allied Sciences Ho Ghana Social Determinants of Health Research Center Birjand University of Medical Sciences Birjand Iran Department of Maternal and Child Health Sultan Qaboos University Muscat Oman Department of Health System and Health Economics Bahir Dar University Bahir Dar Ethiopia Department of Pharmacy University of Huddersfield Huddersfield United Kingdom Unit of Biochemistry Universiti

Background: Hearing loss affects access to spoken language, which can affect cognition and development, and can negatively affect social wellbeing. We present updated estimates from the Global Burden of Disease (GBD) study on the prevalence of hearing loss in 2019, as well as the condition's associated disability. Methods: We did systematic reviews of population-representative surveys on hearing loss prevalence from 1990 to 2019. We fitted nested meta-regression models for severity-specific prevalence, accounting for hearing aid coverage, cause, and the presence of tinnitus. We also forecasted the prevalence of hearing loss until 2050. Findings: An estimated 1·57 billion (95% uncertainty interval 1·51–1·64) people globally had hearing loss in 2019, accounting for one in five people (20·3% [19·5–21·1]). Of these, 403·3 million (357·3–449·5) people had hearing loss that was moderate or higher in severity after adjusting for hearing aid use, and 430·4 million (381·7–479·6) without adjustment. The largest number of people with moderate-to-complete hearing loss resided in the Western Pacific region (127·1 million people [112·3–142·6]). Of all people with a hearing impairment, 62·1% (60·2–63·9) were older than 50 years. The Healthcare Access and Quality (HAQ) Index explained 65·8% of the variation in national age-standardised rates of years lived with disability, because countries with a low HAQ Index had higher rates of years lived with disability. By 2050, a projected 2·45 billion (2·35–2·56) people will have hearing loss, a 56·1% (47·3–65·2) increase from 2019, despite stable age-standardised prevalence. Interpretation: As populations age, the number of people with hearing loss will increase. Interventions such as childhood screening, hearing aids, effective management of otitis media and meningitis, and cochlear implants have the potential to ameliorate this burden. Because the burden of moderate-to-complete hearing loss is concentrated in countries with low health-ca

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People counting in crowded and outdoor scenes using a hybrid multi-camera approach

arXiv

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arXiv 2017年

作者： Dittrich, Fabio De Oliveira, Luiz E. S. Britto, Alceu S. Koerich, Alessandro L. Laboratoire d'Imagerie Vision et Intelligence Artificielle Ecole de Technologie Superieure 1100 Notre-Dame West MontrealQCH3A 1E3 Canada Federal University of Paraná Department of Informatics Centro Politécnico Curitiba PR81531-970 Brazil Pontifical Catholic University of Paraná Postgraduate Program in Computer Science R. Imaculada Conceiç aõ 1155 Curitiba PR80215-901 Brazil Ecole de Technologie Supérieure Department of Software and IT Engineering 1100 Notre-Dame West MontrealQCH3A 1E3 Canada

This paper presents two novel approaches for people counting in crowded and open environments that combine the information gathered by multiple views. Multiple camera are used to expand the field of view as well as to mitigate the problem of occlusion that commonly affects the performance of counting methods using single cameras. The first approach is regarded as a direct approach and it attempts to segment and count each individual in the crowd. For such an aim, two head detectors trained with head images are employed: One based on support vector machines and another based on Adaboost perceptron. The second approach, regarded as an indirect approach employs learning algorithms and statistical analysis on the whole crowd to achieve counting. For such an aim, corner points are extracted from groups of people in a foreground image and computed by a learning algorithm which estimates the number of people in the scene. Both approaches count the number of people on the scene and not only on a given image or video frame of the scene. The experimental results obtained on the benchmark PETS2009 video dataset show that proposed indirect method surpasses other methods with improvements of up to 46.7% and provides accurate counting results for the crowded scenes. On the other hand, the direct method shows high error rates due to the fact that the latter has much more complex problems to solve, such as segmentation of heads. Copyright © 2017, The Authors. All rights reserved.

关键词： Cameras

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Canopus: A Domain-Specific Language for Modeling Performance Testing

Canopus: A Domain-Specific Language for Modeling Performance...

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International Conference on Software Testing, Verification, and Validation, ICST

作者： Maicon Bernardino Avelino F. Zorzo Elder M. Rodrigues Postgraduate Program in Computer Science Pontifical Catholic University of Rio Grande do Sul (PUCRS) Porto Alegre RS Brazil FEEVALE University - Novo Hamburgo RS Brazil Federal University of Health Sciences of Porto Alegre (UFCSPA) Porto Alegre RS Brazil

ISBN: (纸本)9781509018284

Despite all the efforts to reduce the cost of the testing phase in software development, it is still one of the most expensive phases. In order to continue to minimize those costs, in this paper, we propose a Domain-Specific Language (DSL), built on top of MetaEdit+ language workbench, to model performance testing for web applications. Our DSL, called Canopus, was developed in the context of a collaboration 1 between our university and a Technology Development Laboratory (TDL) from an Information Technology (IT) company. We present, in this paper, the Canopus metamodels, its domain analysis, a process that integrates Canopus to Model-Based Performance Testing, and applied it to an industrial case study.

关键词： Testing DSL Unified modeling language Analytical models Load modeling Computational modeling Automation

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