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Embracing Plasticity: Unlocking the Full Potential of Flexible and Stretchable Electronics Through the Elastoplastic Behavior of Metallic Materials (Adv. Funct. Mater. 19/2025)

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Advanced Functional Materials 2025年第19期35卷

作者： Dongqi An Guangping Gong Dian Xu Zanxin Zhou Rui Li Yewang Su State Key Laboratory of Structural Analysis Optimization and CAE Software for Industrial Equipment School of Mechanics and Aerospace Engineering Dalian University of Technology Dalian 116024 China Department of Architecture and Civil Engineering City University of Hong Kong Hong Kong 999077 China School of Mechanical and Aerospace Engineering College of Engineering Nanyang Technological University Singapore 639798 Singapore State Key Laboratory of Nonlinear Mechanics Institute of Mechanics Chinese Academy of Sciences Beijing 100190 China School of Engineering Science University of Chinese Academy of Sciences Beijing 100049 China

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Parametric search: three new applications

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中国高等学校学术文摘·数学 2010年第1期5卷 65-73页

作者： Naoki KATOH Wencheng WANG Yinfeng XU Binhai ZHU Department of Architecture and Architectural Engineering Kyoto University Nishikyo Kyoto 615-8540 Japan Institute of Software Chinese Academy of Sciences Beijing 100080 China School of Management Xi'an Jiaotong University State Key Lab for Manufacturing Systems Engineering Xi'an 710049 China Department of Computer Science Montana State University Bozeman MT 59717-3880 USA

Parametric search is a useful tool in geometric optimization. Invented by Nimrod Megiddo in 1983, it has been widely used in computational geometry. Unfortunately, this technique has rarely been used in the combinatorial optimization community in China. In this paper, we introduce parametric search via three new geometric optimization applications. Keywords Parametric search - geometric optimization - facility location

关键词： Parametric search geometric optimization facility location MSC

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Reusable event types for models at runtime to support the examination of runtime phenomena 15

Reusable event types for models at runtime to support the ex...

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ACM/IEEE International Conference on Model Driven engineering Languages and Systems (MODELS)

作者： Michael Szvetits Uwe Zdun Software Engineering Group University of Applied Sciences Wiener Neustadt Austria Software Architecture Research Group University of Vienna Austria

ISBN: (纸本)9781467369084

Today's software is getting more and more complex and harder to understand. Models help to organize knowledge and emphasize the structure of a software at a higher abstraction level. While the usage of model-driven techniques is widely adopted during software construction, it is still an open research topic if models can also be used to make runtime phenomena more comprehensible as well. It is not obvious which models are suitable for manual analysis and which model elements can be related to what type of runtime events. This paper proposes a collection of runtime event types that can be reused for various systems and meta-models. Based on these event types, information can be derived which help human observers to assess the current system state. Our approach is applied in a case study and evaluated regarding generalisability and completeness by relating it to two different meta-models.

关键词： Runtime Unified modeling language Analytical models Adaptation models Monitoring Object oriented modeling Measurement

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An efficient and fast polarity optimization approach for mixed polarity Reed-Muller logic circuits

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Frontiers of Computer Science 2017年第4期11卷 728-742页

作者： Zhenxue HE Limin XIAO Fei GU Tongsheng XIA Shubin SU Zhisheng HUO Rong ZHANG Longbing ZHANG Li RUAN Xiang WANG State Key Laboratory of Software Development Environment Beihang University Beijing 100191 China School of Computer Science and Engineering Beihang University Beijing 100191 China School of Electronic and Information Engineering Beihang University Beijing 100191 China State Key Laboratory of Computer Architecture Institute of Computing Technology Chinese Academy of Sciences Beijing 100190 China National Engineering Research Center for Science & Technology Resources Sharing Service Beijing 100191 China

Although the genetic algorithm has been widely used in the polarity optimization of mixed polarity Reed- Muller （MPRM） logic circuits, few studies have taken into account the polarity conversion sequence. In order to im- prove the efficiency of polarity optimization of MPRM logic circuits, we propose an efficient and fast polarity optimiza- tion approach （FPOA） considering the polarity conversion se- quence. The main idea behind the FPOA is that, firstly, the best polarity conversion sequence of the polarity set wait- ing for evaluation is obtained by using the proposed hybrid genetic algorithm （HGA）; secondly, each of polarity in the polarity set is converted according to the best polarity con- version sequence obtained by HGA. Our proposed FPOA is implemented in C and a comparative analysis has been pre- sented for MCNC benchmark circuits. The experimental re- suits show that for the circuits with more variables, the FPOA is highly effective in improving the efficiency of polarity op- timization of MPRM logic circuits compared with the tradi- tional polarity optimization approach which neglects the po- larity conversion sequence and the improved polarity opti- mization approach with heuristic technique.

关键词： genetic algorithm polarity optimization mixed

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architecture recovery for product families

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5th International Workshop on Product Family engineering, PFE 2003

作者： Pinzger, Martin Gall, Harald Girard, Jean-Francois Knode, Jens Riva, Claudio Pasman, Wim Broerse, Chris Wijnstra, Jan Gerben Distributed Systems Group Vienna University of Technology Vienna Austria Institute for Experimental Software Engineering Fraunhofer Kaiserslautern Germany Software Architecture Group Nokia Research Center Helsinki Finland Philips Medical Systems Eindhoven Netherlands Philips Research Laboratories Eindhoven Netherlands

ISBN: (纸本)3540219412

software product families are rarely created right away but they emerge when a domain becomes mature enough to sustain their long-term investments. The typical pattern is to start with a small set of products to quickly enter a new market. As soon as the business proves to be successful new investments are directed to consolidating the software assets. The various products are migrated towards a flexible platform where the assets are shared and new products can be derived from. In order to create and maintain the platform, the organization needs to carry out several activities such as recovering the architectures of single products and product families, designing the reference architecture, isolating the variable parts, and generalizing software components. In this paper, we introduce a product family construction process that exploits related systems and product families, and we describe methods and tools used. We also present an approach for classifying platforms according to platform coverage and variation and describe three techniques to handle variability across single products and whole product families. © Springer-Verlag Berlin Heidelberg 2004.

关键词： Product design

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Enhancement effect of casing on underwater explosion shock wave and bubble

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Applied Ocean Research 2025年 158卷

作者： Zhang, Zhifan Zhang, Jingyuan Li, Hailong Liu, Gangwei Wang, Longkan Zhang, Guiyong State Key Laboratory of Structural Analysis Optimization and CAE Software for Industrial Equipment School of Naval Architecture Engineering Dalian University of Technology Dalian116024 China Naval University of Engineering Wuhan430030 China Xi'an Modern Chemistry Research Institute Xi'an710065 China Collaborative Innovation Center for Advanced Ship and Deep-Sea Exploration Shanghai200240 China China Ship Research and Development Academy Beijing100192 China

The casing is a critical design factor for underwater weapons, significantly influencing the energy output of underwater explosion (UNDEX) charges. In this study, a numerical model for cased charge UNDEX was developed using the coupled Eulerian-Lagrangian (CEL) method. To optimize the shock wave and bubble energy outputs, the effects of the thickness ratio n and casing material on load characteristics were systematically investigated, and optimal parameters were derived. First, the enhancement effects of the thickness ratio n on shock wave and bubble loads were examined at varying distance parameters δ. Subsequently, the influence of n on the spatial distribution of shock wave and bubble loads was analyzed using a two-way analysis of variance (ANOVA) model. Four typical underwater weapon casing materials - Ti6%Al4%V, Cu-OFHC, Al 6061-T6, Q235 - were selected. Their impacts on key parameters, including peak shock wave overpressure, bubble radius, bubble period, bubble shape, and pulsation pressure, were thoroughly evaluated. This study aims to elucidate the spatial and temporal evolution laws of shock wave and bubble loads for different types of cased charges, providing insights into the design and optimization of underwater weapons. © 2025

关键词： Ternary alloys

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A framework for long-term archiving of pervasive device information

A framework for long-term archiving of pervasive device info...

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9th International Conference on Advances in Mobile Computing and Multimedia, MoMM 2011

作者： Rawassizadeh, Reza Anjomshoaa, Amin Tomitsch, Martin Vienna University of Technology Information and Software Engineering Group Favoritenstraße 9-11/188 A/1040 Vienna Austria University of Sydney Faculty of Architecture Design and Planning NSW 2006 Australia

ISBN: (纸本)9781450307857

In this paper we describe an approach for preserving personal information, stored on pervasive devices, using a reliable platform. Nowadays, pervasive devices such as mobile phones or personal multimedia players, provide software and hardware capabilities that allow individuals to read and create digital contents. Therefore it is important to provide the ability to archive these contents for later retrieval and use on other platforms. To address this need we introduce an archiving framework and present a working prototype based on this framework. The prototype runs on the Android operating system and enables individuals to archive their pervasive device information for long-term preservation. © 2011 ACM.

关键词： Ubiquitous computing

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Prediction of office building rental upon spatiotemporal data 2019

Prediction of office building rental upon spatiotemporal dat...

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2nd International Conference on Data Science and Information Technology, DSIT 2019

作者： Wang, Zhihong Cao, Buyang School of Software Engineering Tongji University 4800 Cao'An Road Shanghai201804 China College of Architecture And Urban Planning Tongji University 1239 Si Ping Road Shanghai200092 China

ISBN: (纸本)9781450371414

This paper presents a study on effectively predicting office building rentals based on the surrounding spatiotemporal data. During the planning, development, and construction stages of an office building, the stakeholders of the building may have one question to be answered, i.e., what the potential value of the office building is. The potential value of office buildings may be hard to be measured directly, however, it can be reflected in the rental after the office is put into operation. An accurate prediction of the office building rental will provide the solid base for the corresponding stakeholders to make business decisions. The rental of office buildings is affected by many factors, such as its location, floors, number of parking spots, the convenience of transportation, as well as the activities of the surrounding business. To support the rental prediction, we collect the datasets from different data sources in Shanghai. The linear regression, the decision tree, and the random forest models are employed in the computational experiments to predict the office building rentals and the most suitable prediction methodology for predicting the office building rental is suggested upon the experiments. © 2019 Association for Computing Machinery.

关键词： Forecasting

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Individual characteristics analytical models based on deep learning, trajectory and social network data 2019

Individual characteristics analytical models based on deep l...

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2nd International Conference on Data Science and Information Technology, DSIT 2019

作者： Wang, Dechang Cao, Buyang Chu, Zhenfang School of Software Engineering Tongji University 4800 Cao'An Road Shanghai201804 China College of Architecture and Urban Planning Tongji University 1239 Si Ping Road Shanghai200092 China

ISBN: (纸本)9781450371414

The analysis of individual characteristics in this paper refers to analyze the individual characteristics in a certain field to draw the relevant conclusions such as classification, scoring and so on. The main purpose of this study is to apply deep learning, trajectory and social network data to enhance the process of individual characteristics analysis. We developed an algorithm for extracting features from trajectory data based on LSTM and an algorithm for retrieving features from social network data based on the network structural characteristics. A series of computational experiments were conducted by employing the features extracted by our algorithms. According the experimental results and the comparisons with some existing classification models, we can conclude that our approach can improve the accuracy of individual feature classification by 5% on average. © 2019 Association for Computing Machinery.

关键词： Classification (of information)

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A model for increasing the security of internet of things in smart transportation systems 35

A model for increasing the security of internet of things in...

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35th International Symposium on Automation and Robotics in Construction and International AEC/FM Hackathon: The Future of Building Things, ISARC 2018

作者： Sepasgozar, Sanee M.E. Sargolzaei, Sharifeh Sepasgozar, Samad M.E. Kamardeen, Imriyas Sargolzaei, Shokouh Master of Software Engineering Iran Department of Architecture and Urban Planning Art University of Isfahan Iran Faculty of Built Environment UNSW Australia Department of Mathematician Payam Nour University of Zabol Iran

The usability of the Internet of Things (IOT) is accelerated by making intelligent and equipping different machines and devices with smart sensors. IOT is used in smart cities, transportation, construction cases. IOT has the capability to provide real-time information for drivers and citizens to design their routes to avoid traffic and reduce fuel consumption. However, there is a significant number of IOT barriers to IOT utilization such as the distrust of users and managers in sharing information, suspicion to privacy and the ease of using the relevant applications. Despite the importance of these factors, a model for predicting the use of this technology for specific disciplines has not yet been developed, especially for developing countries. Therefore, this research attempts to propose a model for prediction of application, taking into account the increased security of IOT in intelligent transportation. To this end, influential constructs on user trust were collected and tested by questionnaire from 62 experts. The data were analyzed using Smart PLS using confirmatory factor analysis. The results show that 11 hypotheses in the research have been confirmed. The results of this study are very important for technology specialists and urban managers to establish the IOT in the field of urban transport. © ISARC 2018 - 35th International Symposium on Automation and Robotics in Construction and International AEC/FM Hackathon: The Future of Building Things. All rights reserved.

关键词： Internet of things

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