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System dynamics analytical modeling approach for construction project management research: A critical review and future directions

Xiaoxiao XU, Patrick X. W. ZOU

Frontiers of Engineering Management 2021, Volume 8, Issue 1,   Pages 17-31 doi: 10.1007/s42524-019-0091-7

Abstract: Building and infrastructure construction projects can be viewed as a complex system consisting of many subsystems. Over the last two decades, considerable researches that use system dynamics (SD) as an analytical and modeling approach exist to address construction project management issues. However, only few critical reviews have been conducted to provide an in-depth understanding of SD application in construction project management. Moreover, many studies have failed to apply SD accurately. Therefore, the present study aims to gain an understanding of the current state of play and future directions in applying SD method in construction project management research, by undertaking a comprehensive review of 105 relevant articles published from 1994 to 2018. These articles are analyzed in terms of annual publication rate, key papers and their contribution, critical issues in SD application, and research topics. A significant increase in the number of publications in the last five years has been observed. When applying SD method to model construction system, the following aspects must be carefully considered: Model boundary, model development, model test, and model simulation. In addition, SD has been applied in a wide range of research topics, including (1) sustainable construction; (2) design error, rework, and change management; (3) risk management; (4) resource management; (5) decision making; (6) hybrid modeling; (7) safety management; (8) PPP project; and (9) organization performance. Based on the review findings, this study discusses three future research directions, namely, integration of SD with other methods, uncertainty analysis, and human factor analysis. This study can help researchers gain an in-depth understanding of the critical issues in the application of SD in construction management and the state-of-the-art of SD research.

Keywords： system dynamics     construction management     problem and recommendation     research directions     literature review    

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Non-IID Recommender Systems: A Review and Framework of Recommendation Paradigm Shifting Artical

Longbing Cao

Engineering 2016, Volume 2, Issue 2,   Pages 212-224 doi: 10.1016/J.ENG.2016.02.013

Abstract:

While recommendation plays an increasingly critical role in our living, study, work, and entertainmentIn this paper, the non-IID nature and characteristics of recommendation are discussed, followed by thetheoretical framework in order to build a deep and comprehensive understanding of the intrinsic nature of recommendationThis non-IID recommendation research triggers the paradigm shift from IID to non-IID recommendation research

Keywords： relationship     Coupling learning     Relational learning     IIDness learning     Non-IIDness learning     Recommender system     Recommendation     Non-IID recommendation    

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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 suchIn addition, personalized recommendation services have become extremely effective revenue drivers forWe present the general architecture of personalized recommendation systems, the privacy issues therein, and existing works that focus on privacy-preserving personalized recommendation services.

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

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Airline planning and scheduling: Models and solution methodologies

Lei ZHOU, Zhe LIANG, Chun-An CHOU, Wanpracha Art CHAOVALITWONGSE

Frontiers of Engineering Management 2020, Volume 7, Issue 1,   Pages 1-26 doi: 10.1007/s42524-020-0093-5

Abstract: General formulation, widely used solution approaches, and important extensions are presented for each problem

Keywords： airline planning     fleet assignment problem     aircraft routing problem     crew pairing problem     crew rosteringproblem     crew scheduling problem     integrated planning    

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Discussion on Problem-Based Engineering Management System

Qiao Xiang

Frontiers of Engineering Management 2015, Volume 2, Issue 3,   Pages 249-260 doi: 10.15302/J-FEM-2015054

Abstract: The paper puts forward the idea of problem-based engineering management, expounds its connotation and

Keywords： problem     engineering management     system    

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Rare tumors: a blue ocean of investigation

Frontiers of Medicine 2023, Volume 17, Issue 2,   Pages 220-230 doi: 10.1007/s11684-023-0984-z

Abstract: Lastly, we pinpointed the current recommendation chance for patients with rare tumors to be involved

Keywords： rare tumors     diagnosis flowchart     treatment strategy     clinical trials recommendation    

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DAN: a deep association neural network approach for personalization recommendation Research Articles

Xu-na Wang, Qing-mei Tan,Xuna@nuaa.edu.cn,tanchina@nuaa.edu.cn

Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 7,   Pages 963-980 doi: 10.1631/FITEE.1900236

Abstract: The collaborative filtering technology used in traditional systems has a problem of data sparsity.Aimed at this problem, in this paper we propose a feedforward deep method, called the deep association

Keywords： Neural network     Deep learning     Deep association neural network (DAN)     Recommendation    

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A microblog recommendation algorithm based on social tagging and a temporal interest evolution model

Zhen-ming YUAN,Chi HUANG,Xiao-yan SUN,Xing-xing LI,Dong-rong XU

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 7,   Pages 532-540 doi: 10.1631/FITEE.1400368

Abstract: In this paper, we propose a collaborative filtering recommendation algorithm based on a temporal interestIn addition, to address the user cold-start problem, a social tag prediction algorithm based on communityA questionnaire survey proved user satisfaction with recommendation results when the cold-start problem

Keywords： Recommender system     Collaborative filtering     Social tagging     Interest evolution model    

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EncyCatalogRec: catalog recommendation for encyclopedia article completion Article

Wei-ming LU, Jia-hui LIU, Wei XU, Peng WANG, Bao-gang WEI

Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 3,   Pages 436-447 doi: 10.1631/FITEE.1800363

Abstract: So, the recommendation problem is changed to a transductive learning problem in the product graph.Experimental results demonstrate that our approach achieves state-of-the-art performance on catalog recommendation

Keywords： Catalog recommendation     Encyclopedia article completion     Product graph     Transductive learning    

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A solution to stochastic unit commitment problem for a wind-thermal system coordination

B. SARAVANAN,Shreya MISHRA,Debrupa NAG

Frontiers in Energy 2014, Volume 8, Issue 2,   Pages 192-200 doi: 10.1007/s11708-014-0306-x

Abstract: Unit commitment (UC) problem is one of the most important decision making problems in power system.In this paper the UC problem is solved by considering it as a real time problem by adding stochasticityaddressed is the achievement of an economic unit commitment solution after solving UC as a real time problemThis paper proposes a hybrid approach to solve the stochastic unit commitment problem considering thevolatile nature of wind and formulating the UC problem as a chance constrained problem in which the

Keywords： unit commitment (UC)     randomness     wind generation     univariate     chance constrained    

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Transient analysis of thermoelastic contact problem of disk brakes

Ali BELHOCINE, Mostefa BOUCHETARA

Frontiers of Mechanical Engineering 2013, Volume 8, Issue 2,   Pages 150-159 doi: 10.1007/s11465-013-0266-6

Abstract:

The main purpose of this study is to analyze the thermomechanical behavior of the dry contact between the brake disk and pads during the braking phase. The simulation strategy is based on computer code ANSYS11. The modeling of transient temperature in the disk is actually used to identify the factor of geometric design of the disk to install the ventilation system in vehicles. The thermal-structural analysis is then used with coupling to determine the deformation established and the Von Mises stresses in the disk, the contact pressure distribution in pads. The results are satisfactory compared to those found in the literature.

Keywords： brake disks     heat flux     heat-transfer coefficient     Von Mises stress     contact pressure    

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Solving unit commitment problem using a novel version of harmony search algorithm

Roozbeh MORSALI,Tohid JAFARI,Amirhossein GHODS,Mohammad KARIMI

Frontiers in Energy 2014, Volume 8, Issue 3,   Pages 297-304 doi: 10.1007/s11708-014-0309-7

Abstract: novel structure was proposed for improving harmony search (HS) algorithm to solve the unit comment (UC) problem

Keywords： generation scheduling     harmony search (HS) algorithm     intelligent technique     unit commitment    

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A solution to the unit commitment problem—a review

B. SARAVANAN, Siddharth DAS, Surbhi SIKRI, D. P. KOTHARI

Frontiers in Energy 2013, Volume 7, Issue 2,   Pages 223-236 doi: 10.1007/s11708-013-0240-3

Abstract: Unit commitment (UC) is an optimization problem used to determine the operation schedule of the generatingMany algorithms have been invented in the past five decades for optimization of the UC problem, but stillresearchers are working in this field to find new hybrid algorithms to make the problem more realistic

Keywords： unit commitment (UC)     optimization     deterministic load     stochastic load     evolutionary programming (EP)     hybrid    

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Hydrocele of the canal of Nuck — an old problem revisited

John Bunni, Mark Gillam, Ian Michael Pope

Frontiers of Medicine 2013, Volume 7, Issue 4,   Pages 517-519 doi: 10.1007/s11684-013-0300-4

Abstract:

Herein the authors describe the case of a young woman presenting with a tender lump in her groin. Clinically the differential was of either a reactive lymph node or a femoral hernia. Ultrasound scan was urgently arranged and showed a cystic lesion. Surgical exploration was carried out and revealed this to be a hydrocele of the canal of Nuck. This was excised and the patient’s symptoms resolved and she was discharged home the following day. We explore the embryology, pathophysiology and management of this rare entity.

Keywords： canal of Nuck     hernia     embryology    

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A solution to unit commitment problem using invasive weed optimization algorithm

B. SARAVANAN, E. R. VASUDEVAN, D. P. KOTHARI

Frontiers in Energy 2013, Volume 7, Issue 4,   Pages 487-494 doi: 10.1007/s11708-013-0279-1

Abstract: Unit commitment (UC) is one of the most important aspect of power generation in the world today. Though, there is no method to find the exact optimized solution, there exists several meta-heuristic algorithms to determine the close to exact solution. This paper proposes a novel solution to effectively determine UC and generation cost using the technique of invasive weed optimization (IWO). The existing technique distributes the load demand among all the generating units. The method proposed here utilizes the output of UC obtained by using the Lagrangian relaxation (LR) method and calculates the required generation from only the plants that are ON discarding the OFF generator units and thereby giving a faster and more accurate response. Moreover, the results show the comparison between the LR-particle swarm optimization (PSO) and LR-IWO, and prove that the cost of generation for a 4 unit, 8 hour schedule is much less in the case of IWO when compared to PSO.

Keywords： Lagrangian relaxation (LR)     invasive weed optimization (IWO)     economic dispatch     optimization     fuel cost     seed     fitness    

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Title Author Date Type Operation

System dynamics analytical modeling approach for construction project management research: A critical review and future directions

Xiaoxiao XU, Patrick X. W. ZOU

Journal Article

Non-IID Recommender Systems: A Review and Framework of Recommendation Paradigm Shifting

Longbing Cao

Journal Article

Toward Privacy-Preserving Personalized Recommendation Services

Cong Wang, Yifeng Zheng, Jinghua Jiang, Kui Ren

Journal Article

Airline planning and scheduling: Models and solution methodologies

Lei ZHOU, Zhe LIANG, Chun-An CHOU, Wanpracha Art CHAOVALITWONGSE

Journal Article

Discussion on Problem-Based Engineering Management System

Qiao Xiang

Journal Article

Rare tumors: a blue ocean of investigation

Journal Article

DAN: a deep association neural network approach for personalization recommendation

Xu-na Wang, Qing-mei Tan,Xuna@nuaa.edu.cn,tanchina@nuaa.edu.cn

Journal Article

A microblog recommendation algorithm based on social tagging and a temporal interest evolution model

Zhen-ming YUAN,Chi HUANG,Xiao-yan SUN,Xing-xing LI,Dong-rong XU

Journal Article

EncyCatalogRec: catalog recommendation for encyclopedia article completion

Wei-ming LU, Jia-hui LIU, Wei XU, Peng WANG, Bao-gang WEI

Journal Article

A solution to stochastic unit commitment problem for a wind-thermal system coordination

B. SARAVANAN,Shreya MISHRA,Debrupa NAG

Journal Article

Transient analysis of thermoelastic contact problem of disk brakes

Ali BELHOCINE, Mostefa BOUCHETARA

Journal Article

Solving unit commitment problem using a novel version of harmony search algorithm

Roozbeh MORSALI,Tohid JAFARI,Amirhossein GHODS,Mohammad KARIMI

Journal Article

A solution to the unit commitment problem—a review

B. SARAVANAN, Siddharth DAS, Surbhi SIKRI, D. P. KOTHARI

Journal Article

Hydrocele of the canal of Nuck — an old problem revisited

John Bunni, Mark Gillam, Ian Michael Pope

Journal Article

A solution to unit commitment problem using invasive weed optimization algorithm

B. SARAVANAN, E. R. VASUDEVAN, D. P. KOTHARI

Journal Article