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IN2CLOUD: A novel concept for collaborative management of big railway data

Jing LIN, Uday KUMAR

Frontiers of Engineering Management 2017, Volume 4, Issue 4, Pages 428-436 doi: 10.15302/J-FEM-2017048

Abstract: sub-concepts, to address this challenge: 1) A hybrid cloud, 2) an intelligent cloud with hybrid cloud learning, and 3) collaborative management using asset-related data acquired from the intelligent hybrid cloudIN2CLOUD will help the movement of railway industry systems from “local” to “global” optimization in a collaborative

Keywords： railway intelligent asset management collaborative learning big data hybrid cloud Bayesian

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Collaborative learning via social computing None

Ricardo S. ALONSO, Javier PRIETO, Óscar GARCÍA, Juan M. CORCHADO

Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 2, Pages 265-282 doi: 10.1631/FITEE.1700840

Abstract: One attractive challenge within educational innovation is the design of collaborative learning activitiesAt the same time, there is a great lack of tools that give support to the whole learning process andIn this paper, we present and evaluate context-aware framework for collaborative learning applicationsCAFCLA is a flexible framework that covers the entire process of developing collaborative learning activitiesIts application in the experimental case study of a collaborative WebQuest within a museum has shown

Keywords： Context-awareness Collaborative learning Social computing Virtual organizations Wireless sensor networks

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An application of game theory in distributed collaborative decision making

Angran XIAO

Frontiers of Mechanical Engineering 2019, Volume 14, Issue 1, Pages 85-101 doi: 10.1007/s11465-019-0523-4

Abstract: realization environment, new paradigms and accompanying software systems are necessary to support the collaborativeof principles from game theory to model the relationships between engineering teams and facilitate collaborative

Keywords： collaboration distributed product realization game theory digital interface

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Reliability Topology Optimization of Collaborative Design for Complex Products Under Uncertainties Based

Zhaoxi Hong,Xiangyu Jiang,Yixiong Feng,Qinyu Tian,Jianrong Tan

Engineering 2023, Volume 22, Issue 3, Pages 71-81 doi: 10.1016/j.eng.2021.06.027

Abstract: topology optimization method based on the reliability-and-optimization decoupled model and teaching-learning-based

Keywords： Plates structure Reliability Collaborative topology optimization Teaching–learning-based optimizationalgorithm Uncertainty Collaborative design for product life cycle

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Collaborative adoption of blockchain technology: A supply chain contract perspective

Frontiers of Engineering Management Pages 121-142 doi: 10.1007/s42524-022-0239-8

Abstract: The outbreak of COVID-19 has significantly affected the development of enterprises. In the post-pandemic era, blockchain technology has become one of the important technologies to help enterprises quickly gain market competitiveness. The heavy investment required of supply chain stakeholders to employ blockchain technology has hindered its adoption and application. To tackle this issue, this study aims to facilitate the adoption of blockchain technology in a supply chain consisting of a core enterprise and a small/medium-sized enterprise through an effective supply chain contract. We analyze the performance of a cost-sharing (CS) contract and a revenue-sharing (RS) contract and propose a new hybrid CS-RS contract for better performance. We conduct comparative analyses of the three contracts and find that the hybrid CS-RS contract can more effectively incentivize both parties to reach the highest level of blockchain technology adoption and achieve supply chain coordination.

Keywords： blockchain collaborative adoption cost sharing revenue sharing hybrid contract

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Toward Privacy-Preserving Personalized Recommendation Services Review

Cong Wang, Yifeng Zheng, Jinghua Jiang, Kui Ren

Engineering 2018, Volume 4, Issue 1, Pages 21-28 doi: 10.1016/j.eng.2018.02.005

Abstract:

Recommendation systems are crucially important for the delivery of personalized services to users. With personalized recommendation services, users can enjoy a variety of targeted recommendations such as movies, books, ads, restaurants, and more. In addition, personalized recommendation services have become extremely effective revenue drivers for online business. Despite the great benefits, deploying personalized recommendation services typically requires the collection of users’ personal data for processing and analytics, which undesirably makes users susceptible to serious privacy violation issues. Therefore, it is of paramount importance to develop practical privacy-preserving techniques to maintain the intelligence of personalized recommendation services while respecting user privacy. In this paper, we provide a comprehensive survey of the literature related to personalized recommendation services with privacy protection. We present the general architecture of personalized recommendation systems, the privacy issues therein, and existing works that focus on privacy-preserving personalized recommendation services. We classify the existing works according to their underlying techniques for personalized recommendation and privacy protection, and thoroughly discuss and compare their merits and demerits, especially in terms of privacy and recommendation accuracy. We also identity some future research directions.

Keywords： Privacy protection Personalized recommendation services Targeted delivery Collaborative filtering Machinelearning

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Study on affecting factors of collaborative product development based on collaboration hierarchy model

ZHANG Xiaodong, LI Yingzi, ZHANG Zhiqiang

Frontiers of Mechanical Engineering 2007, Volume 2, Issue 2, Pages 210-213 doi: 10.1007/s11465-007-0036-4

Abstract: Aiming at the levels of collaborative degree in web-based product development, a collaboration hierarchyThe application shows that it can solve the diverse problems of collaborative product development effectively

Keywords： development web-based business collaborative collaboration hierarchy

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Basic model study on efficiency evaluation in collaborative design work process

XIE Qiu, YANG Yu, LI Xiaoli, ZHAO Ningyu

Frontiers of Mechanical Engineering 2007, Volume 2, Issue 3, Pages 344-349 doi: 10.1007/s11465-007-0060-4

Abstract: During the efficiency evaluation process of collaborative design work, because of the lack of efficiencyevaluation models, a basic analytical model for collaborative design work efficiency evaluation is proposedFirst, the characteristics of the networked collaborative design system work process were studied; thenThis model, which is built for centralized collaborative design work, includes an analytical frame, a

Keywords： function system work evaluation process efficiency evaluation design work

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Design and analysis of a class of redundant collaborative manipulators with 2-dimension large rotational

Xiaodong JIN, Yuefa FANG, Dan ZHANG, Xueling LUO

Frontiers of Mechanical Engineering 2020, Volume 15, Issue 1, Pages 66-80 doi: 10.1007/s11465-019-0570-x

Abstract: designing a class of 2R1T (R: Rotation; T: Translation) parallel spindle heads and the corresponding collaborativeThe corresponding 5-axis collaborative manipulators are presented by constructing a 2-DOF series translational

Keywords： parallel mechanism redundant mechanism large rotational angles machine tools 2R1T spindle head collaborative

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Tire Dynamics Collaborative Development Strategy

Guo Konghui,Lu Dang and Wu Haidong

Strategic Study of CAE 2018, Volume 20, Issue 1, Pages 91-96 doi: 10.15302/J-SSCAE-2018.01.013

Abstract: The strategies and suggestions for the collaborative development of tire dynamics in China are proposed

Keywords： tire dynamics automobile airplane collaborative development strategy

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Identifying stakeholders’ roles and relevant project documents for 4D-based collaborative decision making

Veronika BOLSHAKOVA, Annie GUERRIERO, Gilles HALIN

Frontiers of Engineering Management 2020, Volume 7, Issue 1, Pages 104-118 doi: 10.1007/s42524-019-0041-4

Abstract: construction simulation through a 4D model is a useful source of information and a support for DM at collaborative

Keywords： BIM 4D BIM 4D BIM use AEC project management collaboration decision making

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Semantics for linking data from 4D BIM to digital collaborative support

Calin BOJE, Veronika BOLSHAKOVA, Annie GUERRIERO, Sylvain KUBICKI, Gilles HALIN

Frontiers of Engineering Management 2022, Volume 9, Issue 1, Pages 104-116 doi: 10.1007/s42524-020-0111-7

Abstract: Synchronous collaboration sessions within the context of 4D BIM position construction professionals into a complex socio–technical system. This system includes hardware, software, people, and broader community aspects. This article strictly focuses on the ontology representation of synchronous collaboration sessions with collocated collective decision-making. The model is designed by considering various 4D BIM model uses while a digital multiuser touch table facilitates the collaboration between actors. The outlined ontological model aims to improve interoperability and to move toward a knowledge-driven, smart-built environment paradigm. A knowledge engineering methodology is outlined, by virtue of which the semantics of the presented model are defined and discussed. Concepts from nearby knowledge fields, especially from the Industry Foundation Classes, are reused. Several examples on querying the knowledge base according to the project meeting requirements are outlined to demonstrate the benefits of using the model. Although 4D BIM model data can be imported by using standard formats, capturing data about the social context remains a challenge in the future. This is expected to change the ontology model structure by considering user ergonomics, data modeling requirements, as well as technical implementation constraints.

Keywords： 4D BIM ontology IFC decision-making linked data collaboration planning

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A metadata model for collaborative experiments and simulations in earthquake engineering

Jean-Pierre BARDET, Nazila MOKARRAM, Fang LIU

Frontiers of Structural and Civil Engineering 2010, Volume 4, Issue 2, Pages 133-153 doi: 10.1007/s11709-010-0036-z

Abstract: Research projects in earthquake engineering yield a very large amount of complex data from experiments and computer simulations. Understanding and exchanging these complicated and voluminous data sets prompted the development of metadata models that document the processes of data generation, and facilitate the collaboration and exchange of information between researchers. The present metadata model was designed to document and exchange a large number of large data files in earthquake engineering, but is applicable to other fields of engineering and science. The model was conceived based on a series of former data models, which were unduly complicated and limited to few types of experiments. Simpler than its predecessors, the present metadata model applies to all kinds of earthquake engineering experiments. It was developed in the object-oriented framework using Protégé. Its applications are illustrated with examples from centrifuge experiments.

Keywords： metadata data documentation experiment simulation

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MSWNet: A visual deep machine learning method adopting transfer learning based upon ResNet 50 for municipal

Frontiers of Environmental Science & Engineering 2023, Volume 17, Issue 6, doi: 10.1007/s11783-023-1677-1

Abstract:

● MSWNet was proposed to classify municipal solid waste.

Keywords： Municipal solid waste sorting Deep residual network Transfer learning Cyclic learning rate Visualization

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Collaborative Virtual Environment Based on Grid Service

Zhang Xu,Wu Huizhong,Xiao Liang

Strategic Study of CAE 2007, Volume 9, Issue 11, Pages 157-162

Abstract: ;">Limited by computing resource, network resource and today's technologies, the scalability of collaborative

Keywords： collaborative virtual environment open grid services architecture virtual world management scalability

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Title Author Date Type Operation

IN2CLOUD: A novel concept for collaborative management of big railway data

Jing LIN, Uday KUMAR

Journal Article

Collaborative learning via social computing

Ricardo S. ALONSO, Javier PRIETO, Óscar GARCÍA, Juan M. CORCHADO

Journal Article

An application of game theory in distributed collaborative decision making

Angran XIAO

Journal Article

Reliability Topology Optimization of Collaborative Design for Complex Products Under Uncertainties Based

Zhaoxi Hong,Xiangyu Jiang,Yixiong Feng,Qinyu Tian,Jianrong Tan

Journal Article

Collaborative adoption of blockchain technology: A supply chain contract perspective

Journal Article

Toward Privacy-Preserving Personalized Recommendation Services

Cong Wang, Yifeng Zheng, Jinghua Jiang, Kui Ren

Journal Article

Study on affecting factors of collaborative product development based on collaboration hierarchy model

ZHANG Xiaodong, LI Yingzi, ZHANG Zhiqiang

Journal Article

Basic model study on efficiency evaluation in collaborative design work process

XIE Qiu, YANG Yu, LI Xiaoli, ZHAO Ningyu

Journal Article

Design and analysis of a class of redundant collaborative manipulators with 2-dimension large rotational

Xiaodong JIN, Yuefa FANG, Dan ZHANG, Xueling LUO

Journal Article

Tire Dynamics Collaborative Development Strategy

Guo Konghui,Lu Dang and Wu Haidong

Journal Article

Identifying stakeholders’ roles and relevant project documents for 4D-based collaborative decision making

Veronika BOLSHAKOVA, Annie GUERRIERO, Gilles HALIN

Journal Article

Semantics for linking data from 4D BIM to digital collaborative support

Calin BOJE, Veronika BOLSHAKOVA, Annie GUERRIERO, Sylvain KUBICKI, Gilles HALIN

Journal Article

A metadata model for collaborative experiments and simulations in earthquake engineering

Jean-Pierre BARDET, Nazila MOKARRAM, Fang LIU

Journal Article

MSWNet: A visual deep machine learning method adopting transfer learning based upon ResNet 50 for municipal

Journal Article

Collaborative Virtual Environment Based on Grid Service

Zhang Xu,Wu Huizhong,Xiao Liang

Journal Article

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