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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    

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    

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    

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    

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

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    

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    

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    

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    

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    

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    

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

Frontiers of Structural and Civil Engineering   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    

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    

ENABLING CROP DIVERSIFICATION TO SUPPORT TRANSITIONS TOWARD MORE SUSTAINABLE EUROPEAN AGRIFOOD SYSTEMS

Frontiers of Agricultural Science and Engineering 2021, Volume 8, Issue 3,   Pages 474-480 doi: 10.15302/J-FASE-2021406

Abstract:

European cropping systems are often characterized by short rotations or even monocropping, leading to environmental issues such as soil degradation, water eutrophication, and air pollution including greenhouse gas emissions, that contribute to climate change and biodiversity loss. The use of diversification practices (i.e., intercropping, multiple cropping including cover cropping and rotation extension), may help enhance agrobiodiversity and deliver ecosystem services while developing new value chains. Despite its benefits, crop diversification is hindered by various technical, organizational, and institutional barriers along value chains (input industries, farms, trading and processing industries, retailers, and consumers) and within sociotechnical systems (policy, research, education, regulation and advisory). Six EU-funded research projects have joined forces to boost crop diversification by creating the European Crop Diversification Cluster (CDC). This Cluster aggregates research, innovation, commercial and citizen-focused partnerships to identify and remove barriers across the agrifood system and thus enables the uptake of diversification measures by all European value-chain stakeholders. The CDC will produce a typology of barriers, develop tools to accompany actors in their transition, harmonize the use of multicriteria assessment indicators, prepare policy recommendations and pave the way for a long-term network on crop diversification.

 

Keywords: crop rotation     lock-in     intercropping     multiple cropping     networking    

Experience and Revelation in Saving Oil in Transport Abroad

Hu Xiaochun,Wang Xieqing

Strategic Study of CAE 2005, Volume 7, Issue 3,   Pages 1-5

Abstract:

Transport has become the dominant oil-consuming sector in the world. Oil use in the sector has increased steadily over the past 30 years and now represents nearly two-thirds of total IEA oil consumption. This article examines a variety of options and strategies in transport of the developed countries to reduce oil consumption. Some suggestions are proposed for saving oil in transport of China.

Keywords: transport     oil-saving     measure    

Title Author Date Type Operation

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

Journal Article

Improved resilience measure for component recovery priority in power grids

Journal Article

Robust ensemble of metamodels based on the hybrid error measure

Journal Article

Search for a natural scientific measure of economy

John E COULTER

Journal Article

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

Journal Article

Integrated logistics support system design for ships

Zhu Hong and Zhang Ping

Journal Article

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

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

Journal Article

BMP decision support system for evaluating stormwater management alternatives

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

Journal Article

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

Pijush SAMUI

Journal Article

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

Journal Article

Current applications of artificial intelligence for intraoperative decision support in surgery

Allison J. Navarrete-Welton, Daniel A. Hashimoto

Journal Article

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

Journal Article

Research on the architecture of creativity support systemLiang

Liang Zhicheng,Yu Yuehai,Zhong Weijun

Journal Article

ENABLING CROP DIVERSIFICATION TO SUPPORT TRANSITIONS TOWARD MORE SUSTAINABLE EUROPEAN AGRIFOOD SYSTEMS

Journal Article

Experience and Revelation in Saving Oil in Transport Abroad

Hu Xiaochun,Wang Xieqing

Journal Article