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international conference on computer Supported Cooperative Work in design

作者： Qingzhang Chen Yan Jin Peng Wang College of Computer Zhejiang University of Technology Hangzhou China

Traditional e-Commerce is in transition to Collaborative one gradually. In the structure of Collaborative e-Commerce, awareness is the key for users to learn all sorts of information about people and system in this environment, which is also an important factor being considered in the process to materialize such a Collaborative e-Commerce environment. this paper presents the analysis of traits of awareness information in Collaborative e-Commerce environment, its forming process and potential problems. A developing platform, which can support the operation of Collaborative e-Commerce using Java JMS technology, also is provided in this paper.

关键词： Collaborative work Electronic commerce Information analysis Business Web and internet services international collaboration Web pages Educational institutions Java Consumer electronics

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A Simulation Approaches in Modelling the Assessment for Evacuation Model 9th

A Simulation Approaches in Modelling the Assessment for Evac...

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9th international conference on Computational Science and Technology, ICCST 2022

作者： Halim, Amir Haikal Abdul Samah, Khyrina Airin Fariza Abu Riza, Lala Septem Aminuddin, Raihah Faculty of Computer and Mathematical Sciences Universiti Teknologi MARA Cawangan Melaka Kampus Jasin Melaka Merlimau Malaysia Department of Computer Science Education Universitas Pendidikan Indonesia Bandung Indonesia

ISBN: (纸本)9789811984051

In the event of an emergency evacuation, the total time taken to reach the main exit happens critical and important. the time taken reflected the barriers such as blockages and queuing process. Although the Uniform Building By-Law has mandatory declared that each building must follow the standard evacuation preparedness procedure, the building owner is unaware of the best evacuation model to be implemented. Besides, the owner has a problem with the suitability and high cost incurred if they directly implement the model. therefore, this study proposes to model the simulation approaches in assessing evacuation models to identify the best model based on the building layout. Pathfinder, AnyLogic, and PedGo are the three-simulation software used in this study. the comparison has been made by conducting six simulation studies using 50, 100 and 150 occupants as the design parameter, with six attributes implemented in each simulation software. A high-rise 14th-floor plan was used as the case study to evaluate the actual scenarios of an evacuation. As a result, the Pathfinder evacuation model shows the lowest average time taken percentage, with the lowest mean value of 300.9983, ANOVA test with a significant value of 0.024, which is less than 0.05. © 2023, the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： computer software

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High linearity CMOS differential current conveyor (DDCC)

High linearity CMOS differential current conveyor (DDCC)

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international conference on Microelectronics, ICM

作者： M.A. Ibrahim H. Kuntman Department of Electronics and Communication Engineering Istanbul Technical University Istanbul Turkey

In this paper, a high linearity CMOS configuration for differential difference current conveyor (DDCC) is presented which is made up of high linearity input and output stages. design tradeoffs are examined and compute... 详细信息

关键词： Linearity Circuits Transconductance Impedance Voltage Operational amplifiers Mirrors SPICE Differential amplifiers computer simulation

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A conversation model of collaborative pair programming based on language/action theory

A conversation model of collaborative pair programming based...

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international conference on computer Supported Cooperative Work in design

作者： Wanfeng Dou Kui Hong Wei He School of Computer Science and Technology Jiangsu research center of Information Security & Confidential Engineering Nanjing Normal University Nanjing China Department of Mechanical Engineering Nanjing Institute of Industry Technology Nanjing Jiangsu China

Pair programming is a programming practice in which two programmers use one computer to work together on the same analysis, design, and programming of the same software. Collaborative Pair Programming (CPP) supports two programmers to work on the same task from different locations. this paper first reviews the existing CPP tools. then a conversation model during CPP process is presented based on language/action perspective. Some basic requirements of CPP tool are given in terms of the conversation model. Finally, a framework of CPP tool is presented. the framework allows not only to use the same editor between the pairs, but also to support different editors or developing environments between them.

关键词： Programming profession Collaborative work Collaborative software computer science Navigation Problem-solving Switches Education international collaboration Information security

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A Rational Delegating Computation Protocol Based on Smart Contract 14th

A Rational Delegating Computation Protocol Based on Smart Co...

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14th EAI international conference on Mobile Multimedia Communications, Mobimedia 2021

作者： Ma, Juan Chen, Yuling Liu, Guoxu Zhu, Hongliang Peng, Changgen State Key Laboratory of Public Big Data College of Computer Science and Technology Guizhou University Guiyang China Blockchain Laboratory of Agricultural Vegetables Weifang University of Science and Technology Shouguang China Engineering Lab for Cloud Security and Information Security Center of BUPT Beijing China

ISBN: (纸本)9783030898137

the delegating computation has become an irreversible trend, together comes the pressing need for fairness and efficiency issues. To solve this problem, we leverage game theory to propose a smart contract-based solution. Firstly, according to the behavioral preferences of the participants, we design an incentive contract to describe the motivation of the participants. Secondly, to satisfy the fairness of the rational delegating computation, we propose a delegating computation protocol based on the smart contract. Specifically, rational participants are to gain the maximum utility and reach the Nash equilibrium in the protocol. Besides, we design a reputation mechanism with a reputation certificate, which measures the reputation from multiple dimensions. And the reputation is used to assure the client’s trust in the computing party to improve the efficiency of the protocol. Finally, the analysis results show that the proposed protocol solves the complex traditional verification problem. Meanwhile, we prove the fairness and correctness of the protocol. © 2021, ICST Institute for computer Sciences, Social Informatics and Telecommunications Engineering.

关键词： Smart contract

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Multiple target drug cocktail design for attacking the core network markers of four cancers using ligand-based and structure-based virtual screening methods

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BMC MEDICAL GENOMICS 2015年第4期8卷 1-23页

作者： Wong, Yung-Hao Lin, Chih-Lung Chen, Ting-Shou Chen, Chien-An Jiang, Pei-Shin Lai, Yi-Hua Chu, Lichieh Julie Li, Cheng-Wei Chen, Jeremy J. W. Chen, Bor-Sen Natl Tsing Hua Univ Dept Elect Engn Lab Control & Syst Biol Hsinchu 30013 Taiwan Ind Technol Res Inst Biomed Technol & Device Res Labs Hsinchu Taiwan Natl Chung Hsing Univ Inst Biomed Sci Taichung 40227 Taiwan Chang Gung Univ Mol Med Res Ctr Taoyuan Taiwan

Background: computer-aided drug design has a long history of being applied to discover new molecules to treat various cancers, but it has always been focused on single targets. the development of systems biology has let scientists reveal more hidden mechanisms of cancers, but attempts to apply systems biology to cancer therapies remain at preliminary stages. Our lab has successfully developed various systems biology models for several cancers. Based on these achievements, we present the first attempt to combine multiple-target therapy with systems biology. Methods: In our previous study, we identified 28 significant proteins-i.e., common core network markers-of four types of cancers as house-keeping proteins of these cancers. In this study, we ranked these proteins by summing their carcinogenesis relevance values (CRVs) across the four cancers, and then performed docking and pharmacophore modeling to do virtual screening on the NCI database for anti-cancer drugs. We also performed pathway analysis on these proteins using Panther and MetaCore to reveal more mechanisms of these cancer house-keeping proteins. Results: We designed several approaches to discover targets for multiple-target cocktail therapies. In the first one, we identified the top 20 drugs for each of the 28 cancer house-keeping proteins, and analyzed the docking pose to further understand the interaction mechanisms of these drugs. After screening for duplicates, we found that 13 of these drugs could target 11 proteins simultaneously. In the second approach, we chose the top 5 proteins with the highest summed CRVs and used them as the drug targets. We built a pharmacophore and applied it to do virtual screening against the Life-Chemical library for anti-cancer drugs. Based on these results, wet-lab bio-scientists could freely investigate combinations of these drugs for multiple-target therapy for cancers, in contrast to the traditional single target therapy. Conclusions: Combination of systems biology w

关键词： Multiple drug targets core network marker ligand-based CADD structure-based CADD virtual screening pharmacophore systems biology

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Expressing aspectual interactions in design: Experiences in the slot machine domain

Expressing aspectual interactions in design: Experiences in ...

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14th international conference on Model Driven Engineering Languages and Systems, MODELS 2011

作者： Fabry, Johan Zambrano, Arturo Gordillo, Silvia University of Chile Santiago Chile LIFIA Facultad de Informática Universidad Nacional de La Plata La Plata Argentina

ISBN: (纸本)9783642244841

In the context of an industrial project we are implementing the software of a casino slot machine. this software has a significant amount of cross-cutting concerns that depend on, and interact with each other, as well as with the modular concerns. We therefore wish to express our design using an appropriate Aspect-Oriented Modeling methodology and notation. We evaluated two of the most mature methodologies: theme/UML and WEAVR, to establish their suitability. Remarkably, neither of these allow us to express any of the dependencies and interactions to our satisfaction. In both cases, half of the interaction types cannot be expressed at all while the other half need to be expressed using a work around that hides the intention of the design. As a result, we consider both methodologies and notations unsuitable for expressing the dependencies and interactions present in the slot machine domain. In this paper we describe our evaluation experience. © 2011 Springer-Verlag.

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Source attribution: Recovering the press releases behind health science news 14

Source attribution: Recovering the press releases behind hea...

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14th international AAAI conference on Web and Social Media, ICWSM 2020

作者： MacLaughlin, Ansel Wihbey, John Bajak, Aleszu Smith, David A. Khoury College of Computer Science Northeastern University BostonMA United States College of Arts Media and Design Northeastern University BostonMA United States

ISBN: (纸本)9781577357889

We explore the task of intrinsic source attribution: inferring which portions of a derived document were adapted from an unobserved source document. Specifically, we model the relationship between news articles and their press release sources using a dataset of 64, 784 health science news articles and 23, 068 press releases. We approach the problem at the sentence level and work with science journalism professors to develop a four point Likert scale describing the extent to which a news article sentence is derived from the content in the corresponding press release. Because manual annotation of news article - press release pairs is time-consuming, we turn to a mix of expert, non-expert, and heuristic-based annotation to label our dataset. After a small pilot study, which found that humans, when only able to view the text of the news article, struggle to identify which content is derived or not, we compare four different sentence regression models on the task. We find that modeling a sentence's context in the entire document is important, with the best performing model, a sequence regression model with BERT token representations, achieving a spearman's p of 0.49 and NDCG@1 of 0.60 on the expert-labeled test set. Examining the model's predictions, we find that it successfully identifies copied or closely paraphrased sentences in articles with a mix of derived and original content, but struggles to differentiate between loosely paraphrased and original sentences in articles with mostly original writing. Copyright © 2020, Association for the Advancement of Artificial Intelligence (***). All rights reserved.

关键词： Public relations

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Lessons learned from fast flux test facility experience in containment design and sodium fire testing 14

Lessons learned from fast flux test facility experience in c...

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14th international Nuclear Fuel Cycle conference, GLOBAL 2019 and Light Water Reactor Fuel Performance conference, TOP FUEL 2019

作者： Wootan, D.W. Omberg, R.P. Burke, T.M. Grandy, C. Pacific Northwest National Laboratory 902 Battelle Boulevard RichlandWA99352 United States Westinghouse Hanford Company Argonne National Laboratory 9700 South Cass Avenue ArgonneIL60439 United States

the technology employed in designing and constructing the FFTF reactor, can significantly influence the development of new advanced reactor designs in the areas of plant system and component design, component fabrication, fuel design and performance, prototype testing, site construction, and reactor operations. Important lessons learned during the startup and nearly 10 years of reactor operation are being preserved. these areas include containment design and sodium fire testing. Although there were no identified design Basis Accidents that required the inclusion of a containment building to meet the established regulatory limits for off-site radiological dose, a containment system was provided that included a steel containment vessel, a Containment Isolation System and a Containment Margins System to allow purging and venting the containment atmosphere. A sodium spill and fire test program was performed over a period of several years at the Hanford site. the program was both analytical and experimental and included computer code development and verification. Tests ranged in size from gram quantity laboratory tests to large spills. Both pool and spray fires were studied and information on burn rates and smoke release rates was correlated and compared to theoretical values with generally good agreement. Copyright © GLOBAL 2019 - international Nuclear Fuel Cycle conference and TOP FUEL 2019 - Light Water Reactor Fuel Performance *** rights reserved.

关键词： Sodium

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Leveraging Machine-Executable Descriptive Knowledge in design Science Research - the Case of designing Socially-Adaptive Chatbots 14th

Leveraging Machine-Executable Descriptive Knowledge in Desig...

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14th international conference on designing for a Digital and Globalized World (DESRIST)

作者： Feine, Jasper Morana, Stefan Maedche, Alexander Karlsruhe Inst Technol KIT Inst Informat Syst & Mkt IISM Karlsruhe Germany

ISBN: (纸本)9783030195038;9783030195045

In design Science Research (DSR) it is important to build on descriptive (Omega) and prescriptive (Lambda) state-of-the-art knowledge in order to provide a solid grounding. However, existing knowledge is typically made available via scientific publications. this leads to two challenges: first, scholars have to manually extract relevant knowledge pieces from the data-wise unstructured textual nature of scientific publications. Second, different research results can interact and exclude each other, which makes an aggregation, combination, and application of extracted knowledge pieces quite complex. In this paper, we present how we addressed both issues in a DSR project that focuses on the design of socially-adaptive chatbots. therefore, we outline a twostep approach to transform phenomena and relationships described in the Omega-knowledge base in a machine-executable form using ontologies and a knowledge base. Following this new approach, we can design a system that is able to aggregate and combine existing Omega-knowledge in the field of chatbots. Hence, our work contributes to DSR methodology by suggesting a new approach for theory-guided DSR projects that facilitates the application and sharing of state-of-the-art Omega-knowledge.

关键词： design science research Descriptive knowledge Prescriptive knowledge Ontology Chatbot Conversational agent

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