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International Conference on Infrared and Millimeter Waves

作者： D. S. Kim W. S. Lee J. H. So E. M. Choi Physics Program in Graduate School of UNIST Ulsan National Institute of Science and Technology Ulsan South Korea Agency for Defense Development Daejeon South Korea Physics Program in Graduate School of UNIST School of Electrical and Computer Engineering Ulsan National Institute of Science and Technology Ulsan South Korea

We estimate the amount of free electrons generated by concealed radioactive materials using MCNP code. This simulation results show that the existence of radioactive sources enhances the number of photons and backgrou... 详细信息

关键词： Containers Photonics Steel Radioactive materials Gyrotrons Electric breakdown

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Genetic algorithms to automatic weld bead detection in double wall double image digital radiographs

Genetic algorithms to automatic weld bead detection in doubl...

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Congress on Evolutionary Computation

作者： Marcel Kroetz Tania M. Centeno Myriam R. Delgado Marcelo Felisberto Luís Alberto Lucas Leyza B. Dorini Vitor Fylyk Allan Vieira Graduate Program on Electrical Engineering and Computer Science (CPGEI) Federal University of Technology of Paraná (UTFPR) Brazil Academic Department of Eletronics (DAELN) Federal University of Technology of Paraná (UTFPR) Brazil

ISBN: (纸本)9781467315104

This paper presents a pioneering approach for weld bead detection in radiographic images obtained by the Double Wall Double Image (DWDI) technique. Such task constitutes an essential step for several high level processes, such as fully automatic flaw identification on welded joints. Sets of sample pixels, corresponding to candidate solutions provided by a genetic algorithm (GA), are compared to pre-defined synthetic weld bead and pipe models in an image matching procedure. The fitness of each set (individual) is evaluated based on a linear combination of its genotype (evaluated by a heuristic function) and phenotype. The evolutionary process automatically selects the best individual in the population and, thus, provides information such as position, orientation and dimension of the detected object. The proposed approach successfully detects pipes and weld beads in radiographic images of different complexities, encouraging future works.

关键词： Welding Genetic algorithms Radiography Equations Mathematical model Biological cells Joints

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Device Interoperability and Authentication for Telemedical Appliance based on the ISO/IEEE 11073 Personal Health Device (PHD) Standards

Device Interoperability and Authentication for Telemedical A...

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Annual International Conference of the IEEE engineering in Medicine and Biology Society

作者： Luther Paul R. Caranguian Susan Pancho-Festin Luis G. Sison a graduate student in the MS Electrical Engineering (Instrumentation and Control) program of University of the Philippines Diliman. Festin is with the Department of Computer Science University of the Philippines Diliman. with the Electrical and Electronics Engineering Institute University of the Philippines Diliman.

ISBN: (纸本)9781424441198

In this study, we focused on the interoperability and authentication of medical devices in the context of telemedical systems. A recent standard called the ISO/IEEE 11073 Personal Health Device (X73-PHD) Standards addresses the device interoperability problem by defining common protocols for agent (medical device) and manager (appliance) interface. The X73-PHD standard however has not addressed security and authentication of medical devices which is important in establishing integrity of a telemedical system. We have designed and implemented a security policy within the X73-PHD standards. The policy will enable device authentication using Asymmetric-Key Cryptography and the RSA algorithm as the digital signature scheme. We used two approaches for performing the digital signatures: direct software implementation and use of embedded security modules (ESM). The two approaches were evaluated and compared in terms of execution time and memory requirement. For the standard 2048-bit RSA, ESM calculates digital signatures only 12% of the total time for the direct implementation. Moreover, analysis shows that ESM offers more security advantage such as secure storage of keys compared to using direct implementation. Interoperability with other systems was verified by testing the system with LNI Healthlink, a manager software that implements the X73-PHD standard. Lastly, security analysis was done and the system's response to common attacks on authentication systems was analyzed and several measures were implemented to protect the system against them.

关键词： Interoperability Telemedical Authentication

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Case Study of Service Oriented Enterprise Architecture Framework

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computer Technology and Application 2012年第3期3卷 240-249页

作者： Nassir Dino Awel Dico Dida Midekso Worku Alemu Software Engineering Track IT Doctoral Program Addis A baba University Addis A baba P. O. BOX 1176 Ethiopia Graduate Programme HiLCoE School of Computer Science ＆ Technology Addis Ababa P.O.BOX 33465 Ethiopia

Many organizations have now adopted Service Oriented Architecture （SOA） as an architectural style to help them with architecture, design and implementation of their core services and systems. Most of these organizations are challenged in integrating SOA style with their overall Enterprise Architecture work. This framework links an SOA style with the Enterprise Architecture （EA） methodologies to help organizations organize their SOA effort as a key part of their Enterprise Architecture. The case study demonstrates the implementation of architecture goal with organization vision in service oriented organizational structure using services that align Business with Technology. The framework is validated and has reserved the privileges of SOA and EA.

关键词： SOA （service oriented architecture） EA （enterprise architecture） service oriented enterprise （SOE） SOE strategicarchitecture SOE domain architecture SOE solution architecture SOE lifecycle service oriented enterprise architecture （SOEA）framework.

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Lung nodules classification in CT images using Shannon and Simpson Diversity Indices and SVM

Lung nodules classification in CT images using Shannon and S...

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8th International Conference on Machine Learning and Data Mining in Pattern Recognition, MLDM 2012

作者： Nascimento, Leonardo Barros De Paiva, Anselmo Cardoso Silva, Aristófanes Corrêa Federal University of Maranhão - UFMA Post-graduate Program in Engineering of Electricity Campus Do Bacanga Av. dos Portugueses SN Bacanga 65085-580 São Luis MA Brazil Federal University of Maranhao - UFMA Department of Computer Science Campus Do Bacanga Av. dos Portugueses SN Bacanga 65085-580 Sao Luís MA Brazil

ISBN: (纸本)9783642315367

In this work, we present the use of Shannon and Simpson Diversity Indices as texture descriptors for lung nodules in computerized Tomography (CT) images. These indices will be proposed to characterize the nodules into two classes: benign or malignant. The investigation is done using the Support Vector Machine (SVM) for classification in a dataset consisting of 73 nodules, 47 benign and 26 malignant;the results of the methodology were: sensitivity of 85.64%, specificity of 97.89% and accuracy of 92.78%. © 2012 Springer-Verlag.

关键词： Support vector machines

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ESICM LIVES 2016: part two

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Intensive Care Medicine Experimental 2016年第1期4卷 205-404页

作者： S. Sivakumar F. S. Taccone K. A. Desai C. Lazaridis M. Skarzynski M. Sekhon W. Henderson D. Griesdale L. Chapple A. Deane L. Williams R. Strickland K. Lange D. Heyland M. Chapman M. J. Rowland P. Garry J. Westbrook R. Corkill C. A. Antoniades K. T. Pattinson G. Fatania A. J. Strong R. B. Myers C. M. Jermaine C. S. Robertson C. G. Rusin J. Hofmeijer L. Sondag M. C. Tjepkema-Cloostermans A. Beishuizen F. H. Bosch M. J. A. M. van Putten L. Carteron C. Patet D. Solari M. Oddo M. A. Ali C. Dias R. Almeida A. Vaz-Ferreira J. Silva E. Monteiro A. Cerejo A. P. Rocha A. A. Elsayed A. M. Abougabal B. N. Beshey K. M. Alzahaby S. Pozzebon A. Blandino Ortiz S. Cristallini O. Lheureux A. Brasseur J. L. Vincent J. Creteur M. Hravnak K. Yousef Y. Chang E. Crago R. M. Friedlander S. A. Abdelmonem S. A. Tahon T. A. Helmy H. S. Meligy F. Puig I. Dunn-Siegrist J. Pugin S. Gupta D. Govil S. Srinivasan S. J. Patel J. K. N A. Gupta D. S. Tomar M. Shafi R. Harne D. P. Arora N. Talwar S. Mazumdar E. E. Papakrivou D. Makris E. Manoulakas B. Tsolaki B. Karadodas E. Zakynthinos I. Palacios Garcia A. Diaz Martin V. Sanchez Encinares M. Pachón Ibañez J. Garnacho Montero G. Labrador T. Cebrero Cangueiro V. Poulose J. Koh J. W. Kam H. Yeter A. Kara O. Aktepe A. Topeli I. Tsolakoglou G. Intas P. Stergiannis A. A. Kolaros E. Chalari E. Athanasiadou A. Martika G. Fildisis V. Faivre C. Mengelle B. Favier D. Payen A. Poppe M. S. Winkler E. Mudersbach J. Schreiber M. L. Wruck E. Schwedhelm S. Kluge C. Zöllner T. Tavladaki A. M. Spanaki H. Dimitriou E. Kondili C. Choulaki E. Meleti D. Kafetzopoulos D. Georgopoulos G. Briassoulis A. García-de la Torre M. V. de la Torre-Prados T. Tsvetanova-Spasova P. Nuevo-Ortega C. Rueda-Molina A. Fernández-Porcel E. Camara-Sola L. Salido-Díaz A. García-Alcántara D. E. Meleti B. Suberviola J. Riera L. Rellan M. Sanchez J. C. Robles E. Lopez R. Vicente E. Miñambres M. Santibañez M. Le Guen J. Moore N. Mason M. Windpassinger O. Plattner E. Mascha D. I. Sessler Outcomes Research U. Melia J. Fontanet J. P. van den Berg M. Baylor College of Medicine Neurology/Neurocritical Care Houston USA Erasmus Hospital Intensive Care Medicine Brussels Belgium Centre Hospitalier Régional Orléans Réaimation Médicale Orléans France University of British Columbia Vancouver Canada University of Adelaide Discipline of Acute Care Medicine Adelaide Australia Royal Adelaide Hospital Intensive Care Adelaide Australia Griffith University Menzies Health Institute of Queensland Gold Coast Australia University of Adelaide Discipline of Medicine Adelaide Australia Kingston General Hospital Clinical Evaluation Research Unit Kingston Canada University of Oxford Nuffield Department of Clinical Neurosciences Oxford UK Oxford University Hospitals NHS Foundation Trust Neurosciences Intensive Care Unit Oxford UK King’s College Hospital Department of Neurosurgery London UK King’ College London Institute of Psychiatry Psychology and Neuroscience Department of Clinical Neuroscience London UK Rice University Computer Science Houston USA Baylor College of Medicine Neurosurgery Houston USA Baylor College of Medicine Pediatric Cardiology Houston USA University of Twente Clinical Neurophysiology Enschede Netherlands Rijnstate Hospital Neurology Arnhem Netherlands Medical Spectrum Twente Clinical Neurophysiology Enschede Netherlands Medical Spectrum Twente Intensive Care Enschede Netherlands Rijnstate Hospital Intensive Care Arnhem Netherlands CHUV Department of Intensive Care Medicine Neuroscience Critical Care Research Group Lausanne Switzerland Aga Khan University Hospital Anaesthesiology Karachi Pakistan Centro Hospitalar São João Intensive Care Porto Portugal Faculty of Medicine University of Porto Medicine Porto Portugal Faculdade de Ciências Universidade do Porto Departamento de Matemática Porto Portugal Centro de Matemática Universidade do Porto Porto Portugal The Biomedical Research Networking Center in Bioengineering Biomaterials and Nanomedicine Zaragoza Spain Centro Hospitalar

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Multiobjective optimization for project portfolio selection 12

Multiobjective optimization for project portfolio selection

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14th International Conference on Genetic and Evolutionary Computation Companion, GECCO'12 Companion

作者： De Barros, Márcio O. Costa, Hélio R. Figueiredo, Fábio V. Da Rocha, Ana Regina C. Post-graduate Information Systems Program - PPGI UNIRIO Av. Pasteur 458 Urca - Rio de Janeiro RJ Brazil COPPE UFRJ System Engineering and Computer Science Department Caixa Postal: 68511 CEP: 21945-970 - Rio de Janeiro Brazil CCA-RJ Brazilian Air Force Ponta do Galeão s/no Ilha do Governador CEP: 21941-510 - Rio de Janeiro Brazil

ISBN: (纸本)9781450311786

This paper proposes a multiobjective heuristic search approach to support a project portfolio selection technique on scenarios with a large number of candidate projects. The original formulation for the technique requires analyzing all combinations of candidate projects, which is unfeasible when more than a few alternatives are available. We have used a multiobjective genetic algorithm to partially explore the search space of project combinations and select the most effective ones. We present an experimental study based on four project selection problems that compares the results found by the genetic algorithm to those yielded by a non-systematic search procedure. Results show evidence that the project selection technique can be used in large-scale scenarios and that GA presents better results than simpler search strategy. Copyright is held by the author/owner(s).

关键词： Multiobjective optimization

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Building better interdisciplinary scientists: creating graduate level courses to address the communication gap in interdisciplinary research

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BMC Bioinformatics 2012年第12期13卷 1-2页

作者： Denise R Koessler Elizabeth G Johnson Jordan M Utley Harry A Richards Cynthia B Peterson Department of Electrical Engineering and Computer Science The University of Tennessee Knoxville TN 37996 USA Department of Microbiology The University of Tennessee Knoxville TN 37996 USA UT/ORNL Graduate School of Genome Science and Technology The University of Tennessee Knoxville TN 37996 USA SCALE-IT Program Administrator The University of Tennessee Knoxville TN 37996 USA Department of Biochemistry and Molecular Biology The University of Tennessee Knoxville TN 37996 USA

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A verification mechanism of feature models for mobile and context-aware software product lines

A verification mechanism of feature models for mobile and co...

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5th Brazilian Symposium on Components, Architectures and Reuse, SBCARS 2011

作者： Marinho, Fabiana G. Andrade, Rossana M.C. Werner, Cláudia Graduate Program in Computer Science Federal University of Ceará Fortaleza Brazil Systems Engineering and Computer Science Program Federal University of Rio de Janeiro Rio de Janeiro Brazil

ISBN: (纸本)9780769546261

Software Product Lines (SPLs) have been used to develop mobile and context-aware applications, which provide services and data for their users from anywhere and at any time using context information. In SPLs, commonality and variability of a system family are identified and often documented in a feature model. However, the development of a feature model for mobile and context-aware SPLs is not trivial, since it should comprise system and context information. Furthermore, the consistency check of feature models in the considered domain is also complex and demands advanced skills of software engineers. This paper proposes a mechanism to formalize and verify the correctness and consistency of feature models for mobile and context-aware SPLs based on a profile enriched with OCL specifications. © 2011 IEEE.

关键词： Verification

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Accelerating the Artificial Bee Colony Algorithm by Hardware Parallel Implementations

Accelerating the Artificial Bee Colony Algorithm by Hardware...

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IEEE Latin American Symposium on Circuits and Systems

作者： Daniel M. Mufioz Carlos H. Llanos Leandro dos S. Coelho Mauricio Ayala-Rincon Department of Mechanical Engineering Automation and Control Group/GRACO University of Brasilia Industrial and Systems Engineering Graduate Program LAS/PPGEPS Pontifical Catholic University of Parana Department of Computer Science and Mathematics University of Brasilia

ISBN: (纸本)9781467312073

Artificial bee colony (ABC) is an optimization algorithm inspired on the intelligent behavior of honey bee swarms. It is suitable to be applied when mathematical techniques are impractical or provide suboptimal solutions. As a population-based algorithm, the ABC suffers on large execution times specifically for embedded optimization problems with computational limitations. For that we propose a hardware parallel architecture of the opposition-based ABC algorithm (HPOABC) that facilitates the implementation in Field programmable Gate Arrays (FPGAs). Numerical simulations using four well-known benchmark problems demonstrate that the opposition-based approach allows the algorithm to improve its functionality, preserving the swarm diversity. Additionally, synthesis results point outs that the HPOABC architecture is effectively mapped in hardware and is suitable for embedded applications.

关键词： Global optimization Swarm intelligence Artificial bee colony FPGAs Floating-point arithmetic

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