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Socialized care services for the aged population: System construction and support measures

Frontiers of Engineering Management 2023, Volume 10, Issue 2, Pages 339-353 doi: 10.1007/s42524-022-0208-2

Abstract: increase in social demand, information- and communication technology-driven culture, and government policy supportimplementation path for such elderly care service policies is unclear, the necessary technological supportmeasure embedding.Finally, we build the research framework of systematic support measures from the perspectives of policyreconstruction, institutional embeddedness, and technical support.

Keywords： socialized care service for the elderly system construction support measure

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Improved resilience measure for component recovery priority in power grids

Frontiers of Engineering Management 2021, Volume 8, Issue 4, Pages 545-556 doi: 10.1007/s42524-021-0161-5

Abstract: Considering the severity of power grid disasters, an improved power grid resilience measure and its corresponding

Keywords： resilience measure power grid importance measure component recovery

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Importance measure-based maintenance strategy optimization: Fundamentals, applications and future directions

Frontiers of Engineering Management doi: 10.1007/s42524-024-4003-0

Abstract: Numerous maintenance strategies have been proposed in the literature related to reliability. This paper focuses on the utilization of reliability importance measures to optimize maintenance strategies. We analyze maintenance strategies based on importance measures and identify areas lacking sufficient research. The paper presents principles and formulas for advanced importance measures within the context of optimizing maintenance strategies. Additionally, it classifies methods of maintenance strategy optimization according to importance measures and outlines the roles of these measures in various maintenance strategies. Finally, it discusses potential challenges that optimization of maintenance strategies based on importance measures may encounter with future technologies.

Keywords： maintenance strategy importance measure reliability maintenance cost

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Robust ensemble of metamodels based on the hybrid error measure

Frontiers of Mechanical Engineering 2021, Volume 16, Issue 3, Pages 623-634 doi: 10.1007/s11465-021-0641-7

Abstract: Metamodels have been widely used as an alternative for expensive physical experiments or complex, time-consuming computational simulations to provide a fast but accurate analysis. However, challenge remains in the prior determination of the most suitable metamodel for a particular case because of the lack of information about the actual behavior of a system. In addition, existing studies on metamodels have largely restricted on solving deterministic problems (e.g., data from finite element models), whereas some real-life engineering problems (e.g., data from physical experiment) are stochastic problems with noisy data. In this work, a robust ensemble of metamodels (EMs) is proposed by combining three regression stand-alone metamodels in a weighted sum form. The weight factor is adaptively determined according to the hybrid error metric, which combines global and local error measures to improve the accuracy of the EMs. Furthermore, three typical individual metamodels that can filter noise are selected to construct the EMs to extend their application in practical engineering problems. Three well-known benchmark problems with different levels of noise and three engineering problems are used to verify the effectiveness of the proposed EMs. Results show that the proposed EMs have higher accuracy and robustness than the individual metamodels and other typical EMs in major cases.

Keywords： metamodel ensemble of metamodels hybrid error measure stochastic problem

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Search for a natural scientific measure of economy

John E COULTER

Frontiers of Environmental Science & Engineering 2011, Volume 5, Issue 1, Pages 111-118 doi: 10.1007/s11783-011-0285-7

Abstract: 1950s, is being researched, developed, and applied, especially in China, driven by the desperation to measure

Keywords： climate change financial crisis energy exergy environment

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Subspace transform induced robust similarity measure for facial images

Jian Zhang, Heng Zhang, Li-ling Bo, Hong-ran Li, Shuai Xu, Dong-qing Yuan,zhangjian@jou.edu.cn,zhangheng@jou.edu.cn

Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 9, Pages 1267-1412 doi: 10.1631/FITEE.1900552

Abstract: Similarity measure has long played a critical role and attracted great interest in various areas suchNevertheless, there remains the issue of developing an efficient two-dimensional (2D) robust similarity measurethe properties of subspace, we develop an effective 2D technique, named transformation similarity measureWe present the mathematical features and some odds to reveal the feasible and robust measure mechanism

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Time-series prediction based on global fuzzy measure in social networks

Li-ming YANG,Wei ZHANG,Yun-fang CHEN

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 10, Pages 805-816 doi: 10.1631/FITEE.1500025

Abstract: network by replacing the traditional relations with fuzzy relation and calculating the global fuzzy measure

Keywords： Time-series network Fuzzy network Fuzzy Markov chain

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Integrated logistics support system design for ships

Zhu Hong and Zhang Ping

Strategic Study of CAE 2015, Volume 17, Issue 5, Pages 44-50

Abstract:

Based on the analysis of integrated logistics support system abroad， this paper presents a top designfor integrate logistics support system on domestic ships.system composition， main function and main technical indexes， and divides the integrated logistics supportsystem into three subsystems， which are support resource system， ship integrated logistics support managementIt can be referred for the integration and management for ship integrated logistics support system.

Keywords： ship integrated logistics support system system design support resource

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Overlap maximum matching ratio (OMMR): a new measure to evaluate overlaps of essential modules

Xiao-xia ZHANG,Qiang-hua XIAO,Bin LI,Sai HU,Hui-jun XIONG,Bi-hai ZHAO

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 4, Pages 293-300 doi: 10.1631/FITEE.1400282

Abstract: Protein complexes are the basic units of macro-molecular organizations and help us to understand the cell’s mechanism. The development of the yeast two-hybrid, tandem affinity purification, and mass spectrometry high-throughput proteomic techniques supplies a large amount of protein-protein interaction data, which make it possible to predict overlapping complexes through computational methods. Research shows that overlapping complexes can contribute to identifying essential proteins, which are necessary for the organism to survive and reproduce, and for life’s activities. Scholars pay more attention to the evaluation of protein complexes. However, few of them focus on predicted overlaps. In this paper, an evaluation criterion called overlap maximum matching ratio (OMMR) is proposed to analyze the similarity between the identified overlaps and the benchmark overlap modules. Comparison of essential proteins and gene ontology (GO) analysis are also used to assess the quality of overlaps. We perform a comprehensive comparison of serveral overlapping complexes prediction approaches, using three yeast protein-protein interaction (PPI) networks. We focus on the analysis of overlaps identified by these algorithms. Experimental results indicate the important of overlaps and reveal the relationship between overlaps and identification of essential proteins.

Keywords： Protein-protein interaction network Essential protein modules Overlap Overlap maximum matching ratio

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Current applications of artificial intelligence for intraoperative decision support in surgery

Allison J. Navarrete-Welton, Daniel A. Hashimoto

Frontiers of Medicine 2020, Volume 14, Issue 4, Pages 369-381 doi: 10.1007/s11684-020-0784-7

Abstract: This scoping review investigated AI-based decision support systems targeted at the intraoperative phasenumber of opportunities exist for future researchers and clinicians to work on AI for surgical decision support

Keywords： artificial intelligence decision support clinical decision support systems intraoperative deep learning

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BMP decision support system for evaluating stormwater management alternatives

Mow-Soung CHENG, Jenny X. ZHEN, Leslie SHOEMAKER,

Frontiers of Environmental Science & Engineering 2009, Volume 3, Issue 4, Pages 453-463 doi: 10.1007/s11783-009-0153-x

Abstract: Maryland, in the Washington D.C. metropolitan area has developed a best management practice decision supportsystem (BMPDSS) to support analysis and decision making for stormwater management planning and design

Keywords： best management practices decision support system low impact development geographic information system

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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

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Reliability-based design optimization of offshore wind turbine support structures using RBF surrogate

Frontiers of Structural and Civil Engineering 2023, Volume 17, Issue 7, Pages 1086-1099 doi: 10.1007/s11709-023-0976-8

Abstract: Reliability-based design optimization of offshore wind turbine support structures using RBF surrogate

Keywords： RBF surrogate model turbine support structures

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Image-based fall detection and classification of a user with a walking support system

Sajjad TAGHVAEI, Kazuhiro KOSUGE

Frontiers of Mechanical Engineering 2018, Volume 13, Issue 3, Pages 427-441 doi: 10.1007/s11465-017-0465-7

Abstract: This study investigates an image-based classification of the human state while using a walking supportWe then measure and compare the performance of both methods.Thus, the system can be used for sit/stand support and fall prevention.

Keywords： fall detection walking support hidden Markov model multivariate analysis

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Research on the architecture of creativity support systemLiang

Liang Zhicheng,Yu Yuehai,Zhong Weijun

Strategic Study of CAE 2010, Volume 12, Issue 1, Pages 74-80

Abstract:

This paper introduces the development of creativity support system, creativityand architecture of creativity support system.Based on the results of this paper, one creativity support system for power system fault analysis wasAnd the procedure of creativity support was provided in this paper.This paper will provide reference for building the creativity support system.

Keywords： creativity support system architecture group support environment decision list