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Coalition formation based on a task-oriented collaborative ability vector Article

Hao FANG,Shao-lei LU,Jie CHEN,Wen-jie CHEN

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 1,   Pages 139-148 doi: 10.1631/FITEE.1601608

Abstract: formation is an important coordination problem in multi-agent systems, and a proper description of collaborativeIn this paper, a model of task-oriented collaborative abilities is established, where five task-orientedabilities are extracted to form a collaborative ability vector.A task demand vector is also described.

Keywords: Collaborative vector     Task allocation     Multi-agent system     Coalition formation     Artificial intelligence    

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    

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: address this challenge: 1) A hybrid cloud, 2) an intelligent cloud with hybrid cloud learning, and 3) collaborativeIN2CLOUD 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    

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    

Liquefaction prediction using support vector machine model based on cone penetration data

Pijush SAMUI

Frontiers of Structural and Civil Engineering 2013, Volume 7, Issue 1,   Pages 72-82 doi: 10.1007/s11709-013-0185-y

Abstract: A support vector machine (SVM) model has been developed for the prediction of liquefaction susceptibilityThe effect of capacity factor ( ) on number of support vector and model accuracy has also been investigated

Keywords: earthquake     cone penetration test     liquefaction     support vector machine (SVM)     prediction    

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    

A modified neural learning algorithm for online rotor resistance estimation in vector controlled induction

A. CHITRA,S. HIMAVATHI

Frontiers in Energy 2015, Volume 9, Issue 1,   Pages 22-30 doi: 10.1007/s11708-014-0339-1

Abstract: Online estimation of rotor resistance is essential for high performance vector controlled drives.

Keywords: neural networks     back propagation (BP)     rotor resistance estimators     vector control     induction motor    

Unconfined compressive strength prediction of soils stabilized using artificial neural networks and support vector

Alireza TABARSA, Nima LATIFI, Abdolreza OSOULI, Younes BAGHERI

Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 2,   Pages 520-536 doi: 10.1007/s11709-021-0689-9

Abstract: Two artificial-intelligence-based models including artificial neural networks and support vector machinesThis study demonstrates the better performance of support vector machines in predicting the strengthThe type of kernel function used in support vector machine models contributed positively to the performance

Keywords: unconfined compressive strength     artificial neural network     support vector machine     predictive models     regression    

Efficiency of scalar and vector intensity measures for seismic slope displacements

Gang WANG

Frontiers of Structural and Civil Engineering 2012, Volume 6, Issue 1,   Pages 44-52 doi: 10.1007/s11709-012-0138-x

Abstract: efficiency of various single ground motion intensity measures (scalar ) or a combination of them (vectorVector can incorporate different characteristics of the ground motion and thus significantly improveAmong various vector considered, the spectral accelerations at multiple spectral periods achieve high

Keywords: seismic slope displacements     intensity measures     empirical prediction    

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 activitiesIn 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    

Construction and identification of lentiviral RNA interference vector of rat leptin receptor gene

Zhengjuan LIU, Jie BIAN, Yuchuan WANG, Yongli ZHAO, Dong YAN, Xiaoxia WANG

Frontiers of Medicine 2009, Volume 3, Issue 1,   Pages 57-60 doi: 10.1007/s11684-009-0003-z

Abstract: The aim of the present study was to construct the lentiviral RNA interference (RNAi) vector of rat OBRb

Keywords: receptors     leptin     RNA interference     lentivirus vector    

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    

Construction of a universal recombinant expression vector that regulates the expression of human lysozyme

Shen LIU, Shengzhe SHANG, Xuezhen YANG, Huihua ZHANG, Dan LU, Ning LI

Frontiers of Agricultural Science and Engineering 2018, Volume 5, Issue 3,   Pages 382-389 doi: 10.15302/J-FASE-2018211

Abstract: A key component in the technology is the construction of an efficient milk expression vector.Here, we established a simple method to construct a milk expression vector, by a combination of homologous, and the human lysozyme gene (hLZ) was then inserted into the vector by a digestion-ligationThe final vector containing the 8.5 kb mWAP 5′ promoter, 4.8 kb hLZ genomic DNA, and 8.0that the resulting vector regulates the expression of hLZ in milk.

Keywords: BAC recombinant methods     gene expression     human lysozyme     transgenic mice     milk expression vector    

bentonite/sepiolite plastic concrete compressive strength using artificial neural network and support vector

Ali Reza GHANIZADEH, Hakime ABBASLOU, Amir Tavana AMLASHI, Pourya ALIDOUST

Frontiers of Structural and Civil Engineering 2019, Volume 13, Issue 1,   Pages 215-239 doi: 10.1007/s11709-018-0489-z

Abstract: aims to explore two machine learning algorithms including artificial neural network (ANN) and support vector

Keywords: bentonite/sepiolite plastic concrete     compressive strength     artificial neural network     support vector machine    

Diagnosis of sewer pipe defects on image recognition of multi-features and support vector machine in

Xiangyang Ye, Jian’e Zuo, Ruohan Li, Yajiao Wang, Lili Gan, Zhonghan Yu, Xiaoqing Hu

Frontiers of Environmental Science & Engineering 2019, Volume 13, Issue 2, doi: 10.1007/s11783-019-1102-y

Abstract:

An image-recognition-based diagnosis system of pipe defect types was established.

1043 practical pipe images were gathered by CCTV robot in a southern Chinese city.

The overall accuracy of the system is 84% and the highest accuracy is 99.3%.

The accuracy shows positive correlation to the number of training samples.

Keywords: Sewer pipe defects     Defect diagnosing     Image recognition     Multi-features extraction     Support vector machine    

Title Author Date Type Operation

Coalition formation based on a task-oriented collaborative ability vector

Hao FANG,Shao-lei LU,Jie CHEN,Wen-jie CHEN

Journal Article

An application of game theory in distributed collaborative decision making

Angran XIAO

Journal Article

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

Jing LIN, Uday KUMAR

Journal Article

Collaborative adoption of blockchain technology: A supply chain contract perspective

Journal Article

Liquefaction prediction using support vector machine model based on cone penetration data

Pijush SAMUI

Journal Article

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

ZHANG Xiaodong, LI Yingzi, ZHANG Zhiqiang

Journal Article

A modified neural learning algorithm for online rotor resistance estimation in vector controlled induction

A. CHITRA,S. HIMAVATHI

Journal Article

Unconfined compressive strength prediction of soils stabilized using artificial neural networks and support vector

Alireza TABARSA, Nima LATIFI, Abdolreza OSOULI, Younes BAGHERI

Journal Article

Efficiency of scalar and vector intensity measures for seismic slope displacements

Gang WANG

Journal Article

Collaborative learning via social computing

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

Journal Article

Construction and identification of lentiviral RNA interference vector of rat leptin receptor gene

Zhengjuan LIU, Jie BIAN, Yuchuan WANG, Yongli ZHAO, Dong YAN, Xiaoxia WANG

Journal Article

Basic model study on efficiency evaluation in collaborative design work process

XIE Qiu, YANG Yu, LI Xiaoli, ZHAO Ningyu

Journal Article

Construction of a universal recombinant expression vector that regulates the expression of human lysozyme

Shen LIU, Shengzhe SHANG, Xuezhen YANG, Huihua ZHANG, Dan LU, Ning LI

Journal Article

bentonite/sepiolite plastic concrete compressive strength using artificial neural network and support vector

Ali Reza GHANIZADEH, Hakime ABBASLOU, Amir Tavana AMLASHI, Pourya ALIDOUST

Journal Article

Diagnosis of sewer pipe defects on image recognition of multi-features and support vector machine in

Xiangyang Ye, Jian’e Zuo, Ruohan Li, Yajiao Wang, Lili Gan, Zhonghan Yu, Xiaoqing Hu

Journal Article