检索结果-内蒙古大学图书馆

arXiv 2021年

作者： Holvitie, Johannes Licorish, Sherlock A. Spínola, Rodrigo O. Hyrynsalmi, Sami MacDonell, Stephen G. Mendes, Thiago S. Buchan, Jim Leppänen, Ville Turku Centre for Computer Science Software Development Laboratory Turku Finland University of Turku Department of Information Technology Turku Finland University of Otago Department of Information Science Otago Dunedin New Zealand Salvador University Graduate Program in Systems and Computer Bahia Salvador Brazil Federal University of Bahia Fraunhofer Project Center for Software and System Engineering Salvador Brazil Tampere University of Technology Pori Campus Pori Finland Federal Institute of Bahia Information Technology Department Bahia Santo Amaro Brazil Auckland University of Technology School of Engineering Computer and Mathematical Sciences Auckland New Zealand

Context: Contemporary software development is typically conducted in dynamic, resource-scarce environments that are prone to the accumulation of technical debt. While this general phenomenon is acknowledged, what remains unknown is how technical debt specifically manifests in and affects software processes, and how the software development techniques employed accommodate or mitigate the presence of this debt. Objectives: We sought to draw on practitioner insights and experiences in order to classify the effects of agile method use on technical debt management, given the popularity and perceived success of agile methods. We explore the breadth of practitioners' knowledge about technical debt;how technical debt is manifested across the software process;and the perceived effects of common agile software development practices and processes on technical debt. In doing so, we address a research gap in technical debt knowledge and provide novel and actionable managerial recommendations. Method: We designed, tested and executed a multi-national survey questionnaire to address our objectives, receiving 184 responses from practitioners in Brazil, Finland, and New Zealand. Results: Our findings indicate that: 1) Practitioners are aware of technical debt, although, there was under utilization of the concept, 2) Technical debt commonly resides in legacy systems, however, concrete instances of technical debt are hard to conceptualize which makes it problematic to manage, 3) Queried agile practices and processes help to reduce technical debt;in particular, techniques that verify and maintain the structure and clarity of implemented artifacts (e.g., Coding standards and Refactoring) positively affect technical debt management. Conclusions: The fact that technical debt instances tend to have characteristics in common means that a systematic approach to its management is feasible. However, notwithstanding the positive effects of some agile practices on technical debt management, comp

关键词： Legacy systems

来源：评论

学校读者我要写书评

暂无评论

Safe food for infants: An EU-China project to enhance the control of safety risks raised by microbial and chemical hazards all along the infant food chains

引用

Global Pediatrics 2022年 2卷

作者： Engel, Erwan Rivière, Gilles Kemmer, Diana Deusch, Oliver Fuchsbauer, Norbert Biesterveld, Steven Krystalli, Evangelia Bondoux, Marion Li, Guang Yang, Weikang Hou, Jianbo Liang, Ying Yang, Hua Fang, Weihuan Pettoello-Mantovani, Massimo Flynn, Brian Rantsiou, Kalliopi Van der Burg, Bart Bover-Cid, Sara Zwietering, Marcel H. French National Research Institute for Agriculture Food and Environment (INRAE) UR QuaPA MASS Group Saint-Genès-Champanelle France French Agency for Food Environmental and Occupational Health & Safety (ANSES) Maisons-Alfort France Fraunhofer Institute for Process Engineering and Packaging (IVV) Freising Germany Computomics GmbH Tübingen Germany HiPP-Werk Georg Hipp OHG Pfaffenhofen Germany Friesland Campina Nederland BV Amersfoort Netherlands Yiotis Anonimos Emporiki & Viomixaniki Etaireia Athens Greece INRAE Transfert Clermont-Ferrand France Beingmate (Hangzhou) Food Research Institute Co. Ltd Hangzhou China Yangzhou Fangguang Food Co. Ltd. Yangzhou China Zhejiang Academy of Science & Technology for Inspection & Quarantine (ZAIQ Hangzhou China Jiangsu Academy of Agricultural Sciences (JAAS) Nanjing China Zhejiang Academy of Agricultural Sciences (ZAAS) Hangzhou China Zhejiang University (ZJU) Hangzhou China EPA-UNEPSA Berlin Germany Creme software LTD (Creme Global) Dublin Ireland University of Turin Department of Agricultural Forest and Food Sciences Turin Italy BioDetection Systems B.V. Amsterdam Netherlands Institut de Recerca i Tecnologia Agroalimentàries (IRTA) Food Safety and Functionality Program Monells Spain Wageningen University & Research Food Microbiology Wageningen Netherlands

The EU-project SAFFI targets food for EU's 15 million and China's 45 million children under the age of three. It aims at developing an integrated approach to enhance the identification, assessment, detection and mitigation of health risks raised by microbial and chemical hazards along EU and China infant food chains. SAFFI will benchmark the main risks through an extensive hazard identification system based on multiple data sources and a risk ranking procedure. It will also develop procedures to enhance top-down and bottom-up hazard control by combining management options with a panel of technologies for the detection and mitigation of priority hazards. Furthermore, it will explore unexpected contaminants by predictive toxicology and improve risk-based food safety management of biohazards by omics and predictive microbiology. SAFFI will co-develop with and deliver to stakeholders a decision-support system (DSS) to enhance safety control all along the food chain. This DSS will integrate the databases, procedures and methods described above and will be a framework for a generic DSS dedicated to other food. This overall methodology will also be implemented in a complementary Chinese side of the project, and exemplified for each side, with four case studies that were selected to cover priority hazards, main ingredients, processes and control steps of the infant food chain. Resulting databases, tools and procedures will be shared, cross-validated, concatenated, benchmarked and finally harmonized for further use in the EU and China. This EU-China multi-actor consortium of 20 partners involves academia, food safety authorities, infant food companies, a paediatrics association and technological and data-science SMEs. © 2022

关键词： Baby food Chemical contaminants Decision support system Food safety Foodborne hazards Hazard control Hazard detection Risk assessment

来源：评论

学校读者我要写书评

暂无评论

A MULTI-FREQUENCY ACQUISITION ALGORITHM FOR A GNSS software RECEIVER

A MULTI-FREQUENCY ACQUISITION ALGORITHM FOR A GNSS SOFTWARE ...

引用

IEEE International Geoscience and Remote Sensing Symposium

作者： Shaolong Cui Dacheng Wang Bernhard Holtkamp Xiaojing Yao Tianhe Chi Jinyun Fang The Institute of Remote Sensing and Digital Earth Chinese Academy of Sciences Beijing Fraunhofer Institute for Software and Systems Engineering ISST Dortmund Institute a/Computing Technology Chinese Academy af Sciences Beijing

Globalization and digitization of the economy increase the demand for fast and precise positioning services. Existing and new global navigation satellite systems (GNSS) add flexibility and adaptability to the list of requirements. To cope with these demands GNSS receivers have been built as software solutions. For software receivers satellite signal acquisition is a hard problem. In this paper we have focused on improving the efficiency of the acquisition in the receiver. The proposed method combines multiple frequency steps into a single one to acquire the satellites. By this means we reduce memory demand and the number of FFT/IFFT calculations for correlation calculation, which is crucial for the performance of a software receiver, in particular on an embedded platform. To eliminate the influence and ambiguity of the multi-frequency approach, we introduce a correction procedure after the basic acquisition process. In our approach we choose several candidate results to implement a more precise acquisition. Our experiments show that the multi-frequency acquisition method saves a significant amount of resources in the acquisition phase, even in a weak GPS signal environment.

关键词： Receivers software Global Positioning System Global navigation satellite system Satellites Correlation

来源：评论

学校读者我要写书评

暂无评论

FUTURE-AI: International consensus guideline for trustworthy and deployable artificial intelligence in healthcare

arXiv

引用

arXiv 2023年

作者： Lekadir, Karim Feragen, Aasa Fofanah, Abdul Joseph Frangi, Alejandro F. Buyx, Alena Emelie, Anais Lara, Andrea Porras, Antonio R. Chan, An-Wen Navarro, Arcadi Glocker, Ben Botwe, Benard O. Khanal, Bishesh Beger, Brigit Wu, Carol C. Cintas, Celia Langlotz, Curtis P. Rueckert, Daniel Mzurikwao, Deogratias Fotiadis, Dimitrios I. Zhussupov, Doszhan Ferrante, Enzo Meijering, Erik Weicken, Eva González, Fabio A. Asselbergs, Folkert W. Prior, Fred Krestin, Gabriel P. Collins, Gary S. Tegenaw, Geletaw S. Kaissis, Georgios Misuraca, Gianluca Tsakou, Gianna Dwivedi, Girish Kondylakis, Haridimos Jayakody, Harsha Woodruf, Henry C. Mayer, Horst Joachim Aerts, Hugo JWL Walsh, Ian Chouvarda, Ioanna Buvat, Irène Tributsch, Isabell Rekik, Islem Duncan, James Kalpathy-Cramer, Jayashree Zahir, Jihad Park, Jinah Mongan, John Gichoya, Judy W. Schnabel, Julia A. Kushibar, Kaisar Riklund, Katrine Mori, Kensaku Marias, Kostas Amugongo, Lameck M. Fromont, Lauren A. Maier-Hein, Lena Alberich, Leonor Cerdá Rittner, Leticia Phiri, Lighton Marrakchi-Kacem, Linda Donoso-Bach, Lluís Martí-Bonmatí, Luis Cardoso, M. Jorge Bobowicz, Maciej Shabani, Mahsa Tsiknakis, Manolis Zuluaga, Maria A. Bielikova, Maria Fritzsche, Marie-Christine Camacho, Marina Linguraru, Marius George Wenzel, Markus De Bruijne, Marleen Tolsgaard, Martin G. Ghassemi, Marzyeh Ashrafuzzaman, Md Goisauf, Melanie Yaqub, Mohammad Abadía, Mónica Cano Mahmoud, Mukhtar M.E. Elattar, Mustafa Rieke, Nicola Papanikolaou, Nikolaos Lazrak, Noussair Díaz, Oliver Salvado, Olivier Pujol, Oriol Sall, Ousmane Guevara, Pamela Gordebeke, Peter Lambin, Philippe Brown, Pieta Abolmaesumi, Purang Dou, Qi Lu, Qinghua Osuala, Richard Nakasi, Rose Zhou, S. Kevin Napel, Sandy Colantonio, Sara Albarqouni, Shadi Joshi, Smriti Carter, Stacy Klein, Stefan Petersen, Steffen E. Aussó, Susanna Awate, Suyash Raviv, Tammy Riklin Cook, Tessa Mutsvangwa, Tinashe E.M. Rogers, Wendy A. Niessen, Wiro J. Puig-Bosch, Xènia Zeng, Yi Mohammed, Yunusa G. Aquino, Yves Saint James Salahuddin, Zohaib Starmans, Martijn P.A. Department de Matemàtiques i Informàtica Universitat de Barcelona Barcelona Spain Barcelona Spain DTU Compute Technical University of Denmark Kgs Lyngby Denmark Department of Mathematics and Computer Science Faculty of Science and Technology Milton Margai Technical University Freetown Sierra Leone Center for Computational Imaging & Simulation Technologies in Biomedicine Schools of Computing and Medicine University of Leeds Leeds United Kingdom Cardiovascular Science and Electronic Engineering Departments KU Leuven Leuven Belgium Institute of History and Ethics in Medicine Technical University of Munich Munich Germany Faculty of Engineering of Systems Informatics and Sciences of Computing Galileo University Guatemala City Guatemala Department of Biostatistics and Informatics Colorado School of Public Health University of Colorado Anschutz Medical Campus AuroraCO United States Department of Medicine Women’s College Research Institute University of Toronto Toronto Canada Universitat Pompeu Fabra BarcelonaBeta Brain Research Center Barcelona Spain Department of Computing Imperial College London London United Kingdom School of Biomedical & Allied Health Sciences University of Ghana Accra Ghana Department of Midwifery & Radiography School of Health & Psychological Sciences City University of London United Kingdom Kathmandu Nepal European Heart Network Brussels Belgium Department of Thoracic Imaging University of Texas MD Anderson Cancer Center Houston United States IBM Research Africa Nairobi Kenya Departments of Radiology Medicine and Biomedical Data Science Stanford University School of Medicine Stanford United States Institute for AI and Informatics in Medicine Klinikum rechts der Isar Technical University Munich Munich Germany Department of Computing Imperial College London London United Kingdom Muhimbili University of Health and Allied Sciences Dar es Salaam Tanzania United Republic of Ioannina Greece Almaty AI Lab Almaty Kazakhstan

Background: Despite major advances in artificial intelligence (AI) research for healthcare, the deployment and adoption of AI technologies remain limited in clinical practice. In recent years, concerns have been raised about the clinical, technical, ethical and legal risks associated with healthcare AI. To increase adoption in the real world, it is essential that AI technologies are trusted and accepted by patients, clinicians, health organisations and authorities. This paper describes the FUTURE-AI framework as the first international consensus guideline for trustworthy AI in healthcare. Methods: The FUTURE-AI consortium was founded in 2021 and now comprises 117 interdisciplinary experts from 50 countries representing all continents, including AI scientists, clinical researchers, biomedical ethicists, and social scientists. Over a two-year period, the consortium established guiding principles and best practices for trustworthy and deployable AI through an iterative process comprising an in-depth literature review, a modified Delphi survey, and online consensus meetings. Findings: The FUTURE-AI framework was established based on six guiding principles for trustworthy AI in healthcare, i.e. Fairness, Universality, Traceability, Usability, Robustness and Explainability. Through consensus, a set of 30 best practices were defined, addressing technical, clinical, socio-ethical and legal dimensions of trustworthy AI. The recommendations cover the entire lifecycle of healthcare AI, from design, development and validation to regulation, deployment, and monitoring. Interpretation: FUTURE-AI is a structured, risk-informed framework which provides guidance for constructing healthcare AI tools that will be trusted, deployed and adopted in real-world clinical practice. Researchers are encouraged to take the recommendations into account in proof-of-concept stages to facilitate future translation towards clinical practice of healthcare AI. Copyright © 2023, The Authors. All rights

关键词： Clinical research

来源：评论

学校读者我要写书评

暂无评论

Model-based security verification for evolving systems

Model-based security verification for evolving systems

引用

software Engineering-Konferenz, SE 2016 - software Engineering Conference, SE 2016

作者： Jürjens, Jan Wenzel, Sven Poggenpohl, Daniel Ochoa, Martín Institute for Software Technology University of Koblenz-Landau Koblenz Germany Fraunhofer Institute for Software and Systems Engineering ISST Dortmund Germany Singapore University of Technology and Design Singapore

ISBN: (纸本)9783885796466

Security certification of complex systems requires a high amount of effort. As a particular challenge, today's systems are increasingly long-living and subject to continuous change. After each change of some part of the system, the whole system needs to be re-certified from scratch (since security properties are not in general modular), which is usually far too much effort. We present a tool-supported approach for security certification that minimizes the amount of effort necessary in the case of re-certification after change. It is based on an approach for model-based development of secure software which makes use of the security extension UMLsec of the Unified Modeling Language (UML). It allows the user to integrate security requirements such as secure information flow and audit security into a system design model, it supported by a security verification tool chain, and has been applied to a number of industrial applications.

关键词： software design

来源：评论

学校读者我要写书评

暂无评论

Supporting defect causal analysis in practice with cross-company data on causes of requirements engineering problems

arXiv

引用

arXiv 2017年

作者： Kalinowski, Marcos Curty, Pablo Paes, Aline Spínola, Rodrigo Felderer, Michael Ferreira, Alexandre Fernández, Daniel Méndez Wagner, Stefan Niterói Brazil Fraunhofer Project Center at UFBA Salvador Brazil Institute of Computer Science University of Innsbruck Innsbruck Austria Rio de Janeiro Brazil Software & Systems Engineering Technical University of Munich Munich Germany Institute of Software Technology University of Stuttgart Stuttgart Germany

[Context] Defect Causal Analysis (DCA) represents an efficient practice to improve software processes. While knowledge on cause-effect relations is helpful to support DCA, collecting cause-effect data may require significant effort and time. [Goal] We propose and evaluate a new DCA approach that uses cross-company data to support the practical application of DCA. [Method] We collected cross-company data on causes of requirements engineering problems from 74 Brazilian organizations and built a Bayesian network. Our DCA approach uses the diagnostic inference of the Bayesian network to support DCA sessions. We evaluated our approach by applying a model for technology transfer to industry and conducted three consecutive evaluations: (i) in academia, (ii) with industry representatives of the fraunhofer Project Center at UFBA, and (iii) in an industrial case study at the Brazilian National Development Bank (BNDES). [Results] We received positive feedback in all three evaluations and the cross-company data was considered helpful for determining main causes. [Conclusions] Our results strengthen our confidence in that supporting DCA with cross-company data is promising and should be further investigated. Copyright © 2017, The Authors. All rights reserved.

关键词： Requirements engineering

来源：评论

学校读者我要写书评

暂无评论

Verification of a numerical model of the offshore wind turbine from the alpha ventus wind farm within OC5 phase III 37

Verification of a numerical model of the offshore wind turbi...

引用

ASME 2018 37th International Conference on Ocean, Offshore and Arctic Engineering, OMAE 2018

作者： Popko, Wojciech Huhn, Matthias L. Robertson, Amy Jonkman, Jason Wendt, Fabian Muller, Kolja Kretschmer, Matthias Vorpahl, Fabian Hagen, Torbjørn Ruud Galinos, Christos Dreff, Jean-Baptiste Le Gilbert, Philippe Auriac, Bertrand Villora, Francisco Navarro Schunemann, Paul Bayati, Ilmas Belloli, Marco Oh, Sho Totsuka, Yoshitaka Qvist, Jacob Bachynski, Erin Sørum, Stian Høegh Thomassen, Paul E. Shin, Hyunkyoung Vittori, Felipe Galvan, Josean Molins, Climent Bonnet, Paul Van Der Zee, Tjeerd Bergua, Roger Wang, Kai Fu, Pengcheng Cai, Jifeng Fraunhofer Institute for Wind Energy Systems IWES Division Wind Turbine and System Technology Bremerhaven27572 Germany National Renewable Energy Laboratory GoldenCO United States University of Stuttgart Stuttgart Wind Energy Stuttgart Germany Senvion Osnabruck Germany OWEC Tower AS Oslo Norway Technical University of Denmark Department of Wind Energy Roskilde Denmark Electricite de France Recherche et Developpement Palaiseau France IFP Energies Nouvelles Solaize France Principia La Ciotat France Siemens Gamesa Renewable Energy Hamburg Germany University of Rostock Endowed Department of Wind Energy Technology Rostock Germany Politecnico di Milano Department of Mechanical Engineering Milan Italy Tokyo Japan Wind Energy Institute of Tokyo Inc. Tokyo Japan Subsea Hvalstad Norway Norwegian University of Science and Technology Department of Marine Technology Trondheim Norway Simis AS Trondheim Norway University of Ulsan School of Naval Architecture and Ocean Engineering Ulsan Korea Republic of Sarriguren Spain TECNALIA Derio Spain Polytechnic University of Catalonia Barcelona Spain Siemens Industry Software Cornella de Llobregat Spain Knowledge Centre WMC Wieringerwerf Netherlands Envision Energy Limited Shanghai China China General Certification Center Beijing China

ISBN: (纸本)9780791851319

The main objective of the Offshore Code Comparison Collaboration Continuation, with Correlation (OC5) project, is validation of aero-hydro-servo-elastic simulation tools for offshore wind turbines (OWTs) through comparison of simulated results to the response data of physical systems. Phase III of the OC5 project analyzes the Senvion 5M wind turbine supported by the OWEC Quattropod from the alpha ventus offshore wind farm. This paper shows results of the verification of the OWT models (code-to-code comparison). A subsequent publication will focus on their validation (comparison of simulated results to measured physical system response data). Based on the available data, the participants of Phase III set up numerical models of the OWT in their simulation tools. It was necessary to verify and to tune these models. The verification and tuning were performed against an OWT model available at the University of Stuttgart - Stuttgart Wind Energy (SWE) and documentation provided by Senvion and OWEC Tower. A very good match was achieved between the results from the reference SWE model and models set up by OC5 Phase III participants. © Copyright 2018 ASME.

关键词： Numerical models

来源：评论

学校读者我要写书评

暂无评论

OC6 Phase I: Investigating the underprediction of low-frequency hydrodynamic loads and responses of a floating wind turbine

引用

Journal of Physics: Conference Series 2020年第3期1618卷

作者： A N Robertson S Gueydon E Bachynski L Wang J Jonkman D Alarcón E Amet A Beardsell P Bonnet B Boudet C Brun Z Chen M Féron D Forbush C Galinos J Galvan P Gilbert J Gómez V Harnois F Haudin Z Hu J Le Dreff M Leimeister F Lemmer H Li G Mckinnon I Mendikoa A Moghtadaei S Netzband S Oh A Pegalajar-Jurado M Q Nguyen K Ruehl P Schünemann W Shi H Shin Y Si F Surmont P Trubat J Qwist S Wohlfahrt-Laymann National Renewable Energy Laboratory 15013 Denver W Pkwy Golden CO USA 80401 Maritime Research Institute Netherlands Haagsteeg 2 6708 PM Wageningen Netherlands Norwegian University of Science and Technology 7491 Trondheim Norway Bureau Veritas 60 avenue du Général de Gaulle 92046 Paris - La Défense DNV GL One Linear Park Avon St. Temple Quay Bristol BS2 0PS UK Siemens Digital Industries Software C/Lluis Muntadas 5 Cornellà Spain 08940 Bureau Veritas 8 avenue Jacques Cartier Atlantis - 44807 Saint-Herblain Cdx - France Ocean College Zhejiang University Zhoushan 316021 China DORIS Engineering 58a rue du Dessous des Berges 75013 Paris France Sandia National Laboratories 1515 Eubank Blvd SE Albuquerque NM 87123 DTU Wind Energy Nils Koppels Allé 403 Kgs. Lyngby DK-2800 Denmark Tecnalia Research & Innovation Parque Tecnologico Bizkaia Ed.700 48160 Derio Spain IFPEN 4 avenue de Bois Préau 92852 Rueil-Malmaison Cedex France PRINCIPIA ZAC Athelia I - 215 Voie Ariane 13705 La CIOTAT Cedex France Vulcain Ingénierie 5 rue Beffroy 92200 Neuilly-sur-Seine France School of Engineering Newcastle University Newcastle upon Tyne NE1 7RU UK EDF R&D 7 boulevard Gaspard Monge 91120 Palaiseau France Fraunhofer Inst. for Wind Energy Systems Am Luneort 100 27572 Bremerhaven Germany University of Stuttgart 70569 Stuttgart Germany Orcina Ltd. Daltongate Ulverston Cumbria LA12 7AJ UK Queen's University Belfast Belfast BT9 5AG Northern Ireland United Kingdom Hamburg University of Technology 21071 Hamburg Germany ClassNK 4-7 Kioicho Chiyodaku Tokyo Japan Universität Rostock Albert-Einstein-Str. 2 18059 Rostock Germany Dalian University of Technology No.2 Linggong Road Dalian Liaoning China 116024 University of Ulsan 93 Daehakro Namgu Ulsan 44610 South Korea Universitat Politècnica de Catalunya Jordi Girona 1-3 08034 Barcelona Spain 4Subsea Hagaløkkveien 26 1383 Asker Norway

Phase I of the OC6 project is focused on examining why offshore wind design tools underpredict the response (loads/motion) of the OC5-DeepCwind semisubmersible at its surge and pitch natural frequencies. Previous investigations showed that the underprediction was primarily related to nonlinear hydrodynamic loading, so two new validation campaigns were performed to separately examine the different hydrodynamic load components. In this paper, we validate a variety of tools against this new test data, focusing on the ability to accurately model the low-frequency loads on a semisubmersible floater when held fixed under wave excitation and when forced to oscillate in the surge direction. However, it is observed that models providing better load predictions in these two scenarios do not necessarily produce a more accurate motion response in a moored configuration.

关键词：

来源：评论

学校读者我要写书评

暂无评论

The ExaNeSt Project: Interconnects, Storage, and Packaging for Exascale systems

The ExaNeSt Project: Interconnects, Storage, and Packaging f...

引用

Euromicro Symposium on Digital System Design

作者： M. Katevenis N. Chrysos M. Marazakis I. Mavroidis F. Chaix N. Kallimanis J. Navaridas J. Goodacre P. Vicini A. Biagioni P. S. Paolucci A. Lonardo E. Pastorelli F. Lo Cicero R. Ammendola P. Hopton P. Coates G. Taffoni S. Cozzini M. Kersten Y. Zhang J. Sahuquillo S. Lechago C. Pinto B. Lietzow D. Everett G. Perna Foundation For Research & Technology FORTH Hellas University of Manchester (UoM) National Institute for Nuclear Physics (INFN) Iceotope Technologies Ltd. ICEOTOPE Istituto Nazionale di Astrofisica (INAF) Exact lab srl (eXactlab) MonetDB Solutions (MDBS) Universitat Politècnica de València (UPV) Virtual Open Systems (VOSYS) Fraunhofer-Gesellschaft Zur Foerderung Der Angewandten Forschung E.V (Fraunhofer) Allinea Software Ltd (Allinea) EnginSoft S.p.A. (EnginSoft)

ExaNest is one of three European projects that support a ground-breaking computing architecture for exascale-class systems built upon power-efficient 64-bit ARM processors. This group of projects share an "everything-close" and "share-anything" paradigm, which trims down the power consumption - by shortening the distance of signals for most data transfers - as well as the cost and footprint area of the installation - by reducing the number of devices needed to meet performance targets. In ExaNeSt, we will design and implement: (i) a physical rack prototype and its liquid-cooling subsystem providing ultra-dense compute packaging, (ii) a storage architecture with distributed (in-node) non-volatile memory (NVM) devices, (iii) a unified, low-latency interconnect, designed to efficiently uphold desired Quality-of-Service guarantees for a mix of storage with inter-processor flows, and (iv) efficient rack-level memory sharing, where each page is cacheable at only a single node. Our target is to test alternative storage and interconnect options on actual hardware, using real-world HPC applications. The ExaNeSt consortium brings together technology, skills, and knowledge across the entire value chain, from computing IP, packaging, and system deployment, all the way up to operating systems, storage, HPC, big data frameworks, and cutting-edge applications.

关键词： Prototypes Blades Packaging Computer architecture Nonvolatile memory Computational modeling Europe

来源：评论

学校读者我要写书评

暂无评论

Integrated Requirements and systems Modeling in the Mechatronic Development Process

Integrated Requirements and Systems Modeling in the Mechatro...

引用

International Conference on Developments in esystems Engineering (DESE)

作者： Christoph Richter Georg Hackenberg Michael F. Zäh Gunther Reinhart Fraunhofer Institute for Machine Tools and Forming Technology Augsburg Germany Software & Systems Engineering Technische Universität München München Germany Institute for Machine Tools and Industrial Management Technische Universität München München Germany

Manufacturing systems continuously increase in complexity due to higher customer expectations regarding their purpose and flexibility of use. In addition, the growing meaning of electronic and software components in manufacturing systems complicates the engineering since the interaction of different disciplines leads to increasing coordination efforts and problems regarding the interfaces between these disciplines. For these reasons, development processes in this context need to be adapted continuously to the present situation. To face these challenges, the suitable handling of arising requirements is one key factor for the success of engineering processes. Therefore, a modeling technique for an integrated requirements and systems modeling in the mechatronic development process is presented in this paper. After a summary of approaches for model-based development and requirements engineering in the context of mechatronic systems, the modeling technique is illustrated on a meta-model level. To demonstrate the feasibility, the proposed approach is applied to a miniaturized packaging machine, which is currently developed at the institute for Machine Tools and Industrial Management (iwb) of Technische Universit München for benchmarking engineering methods and tools. Excerpts of this application are outlined in this paper as well as the results of a discussion with experts from the machine tools industry regarding the presented modeling approach. Finally, an outlook with respect to possible enhancements of the modeling technique is given.

关键词： Mechatronics Object oriented modeling Unified modeling language Requirements engineering Analytical models software

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：