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long-term model with consideration of uncertainties for deployment of distributed energy resources using interactivehoney bee mating optimization

Iraj AHMADIAN,Oveis ABEDINIA,Noradin GHADIMI

Frontiers in Energy 2014, Volume 8, Issue 4,   Pages 412-425 doi: 10.1007/s11708-014-0315-9

Abstract: This paper presents a novel modified interactive honey bee mating optimization (IHBMO) base fuzzy stochastic

Keywords： component     distributed energy resources     fuzzy optimization     loss reduction     interactive honey bee mating    

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Artificial bee colony optimization for economic dispatch with valve point effect

Yacine LABBI,Djilani Ben ATTOUS,Belkacem MAHDAD

Frontiers in Energy 2014, Volume 8, Issue 4,   Pages 449-458 doi: 10.1007/s11708-014-0316-8

Abstract: ED problem solution considering valve-point effect by a new optimization algorithm called artificial bee

Keywords： artificial bee colony (ABC) algorithm     economic dispatch (ED)     valve-point effect     optimization    

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An improved artificial bee colony algorithm with MaxTF heuristic rule for two-sided assembly line balancing

Xiaokun DUAN, Bo WU, Youmin HU, Jie LIU, Jing XIONG

Frontiers of Mechanical Engineering 2019, Volume 14, Issue 2,   Pages 241-253 doi: 10.1007/s11465-018-0518-6

Abstract: This paper proposes an improved artificial bee colony (IABC) algorithm with the MaxTF heuristic rule.

Keywords： two-sided assembly line balancing problem     artificial bee colony algorithm     heuristic rules     time boundary    

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Interactive effects of high-speed rail on nodal zones in a city: exploratory study on China

Guo LIU, Kunhui YE

Frontiers of Engineering Management 2019, Volume 6, Issue 3,   Pages 327-335 doi: 10.1007/s42524-019-0051-2

Abstract: The arrival of the high-speed rail (HSR) era has accelerated the pace of urban development, but its broad socioeconomic impact remains subject to intense debates. This research aims to propose a model for measuring the impact of HSR operation on HSR stations and the surrounding areas, which this research call the HSR-based nodal zone (HNZ). The proposed model is composed of two variables (i.e., transportation situation and vitality) and three subsystems (i.e., economic, societal, and environmental). Data were collected in China through questionnaire survey. Results indicate that the effects of HSR operation on HNZ are multidimensional, transportation vitality has an intermediary role in the effects, and the effects on the physical environment are negative. This study presents an early examination of the impact of HSR operation on the HSR stations and relevant areas and contributes new evidence to academic debates on the contribution of HSR to urban development. Accordingly, urban development policies should be built on the mechanism of HSR in driving the growth of HNZ.

Keywords： high-speed rail     nodal zone     interactive effects     sustainable urbanization     China    

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Damage assessment and diagnosis of hydraulic concrete structures using optimization-based machine learning technology

Frontiers of Structural and Civil Engineering   Pages 1281-1294 doi: 10.1007/s11709-023-0975-9

Abstract: A damage assessment method for concrete structures is established using an artificial bee colony backpropagation

Keywords： hydraulic structure     curvature mode     damage detection     artifical neural network     artificial bee colony    

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Research on the dynamic interactive management theory of high-speed rail station projects

Zheng Jian

Strategic Study of CAE 2011, Volume 13, Issue 8,   Pages 31-35

Abstract: between high-speed rail station and social-economy and proposes the project and project portfolio dynamic interactive

Keywords： high-speed rail station     socio-economy     program     dynamic interactive management    

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Modified Binary Artificial Bee Colony Algorithm forMultidimensional Knapsack Problem

Wang Zhigang,Xia Huiming

Strategic Study of CAE 2014, Volume 16, Issue 8,   Pages 106-112

Abstract:

The binary artificial bee colony algorithm has the shortcomings of slowerAccording to the defects, a modified binary artificial bee colony algorithm is proposed.The algorithm redesign neighborhood search formula in artificial bee colony algorithm, the probability

Keywords： artificial bee colony algorithm     multidimensional knapsack problem     greedy algorithm     combinatorial optimization    

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Conceptual study on incorporating user information into forecasting systems

Jiarui HAN, Qian YE, Zhongwei YAN, Meiyan JIAO, Jiangjiang XIA

Frontiers of Environmental Science & Engineering 2011, Volume 5, Issue 4,   Pages 533-542 doi: 10.1007/s11783-010-0246-6

Abstract: A study was conducted on the conceptual forecasting system that included a dynamic, user-oriented interactiveThis research took advantage of the recently implemented TIGGE (THORPEX interactive grand global ensembleThis paper discusses ideas for developing interactive, user-oriented forecast systems.

Keywords： user-end information     user-oriented     interactive forecasting system     TIGGE (THORPEX interactive grand global    

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Plant Traits for Phytoremediation in the Tropics Article

Xiangting Cleo Chen, Liling Huang, Tze Hsien Agnes Chang, Bee Lian Ong, Say Leong Ong, Jiangyong Hu

Engineering 2019, Volume 5, Issue 5,   Pages 841-848 doi: 10.1016/j.eng.2019.07.019

Abstract:

Water is a limited and valuable resource. Singapore has four national sources of water supply, one of which is natural precipitation. Pollutants collected in stormwater runoff are deposited into drainage systems and reservoirs. Major nutrient pollutants found in local stormwater runoff include nitrate and phosphate, which may cause eutrophication. Bioretention systems are efficient in removing these pollutants in the presence of plants. This paper discusses plant traits that can enhance the phytoremediation of nutrient pollutants in stormwater runoff for application in bioretention systems. The plant species studied showed variations in chlorophyll florescence, leaf greenness, biomass production, and nitrate and phosphate removal. In general, dry biomass was moderately correlated to nitrate and phosphate removal (r = 0.339–0.501). Root, leaf, and total dry biomass of the native tree species showed a moderate to strong correlation with nitrate removal (r = 0.811, 0.657, and 0.727, respectively). Leaf dry biomass of fastgrowing plants also showed a moderate to strong relationship with the removal of both pollutants (r = 0.707 and 0.609, respectively). Root dry biomass of slow-growing plants showed a strong relationship with phosphate removal (r = 0.707), but the correlation was weaker for nitrate removal (r = 0.557). These results are valuable for choosing plants for application in bioretention systems.

Keywords： Nitrogen     Phosphorus     Plant traits     Bioretention system     Stormwater     Tropical plant     Nutrient pollutant     Native plants    

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Group discussion based on the model of interactive genetic algorithms

Song Dongming,Zhu Yaoqin,Wu Huizhong

Strategic Study of CAE 2009, Volume 11, Issue 11,   Pages 64-69

Abstract: converge their opinions, an approach of expert group discussion is proposed on the base of the model of interactive

Keywords： hall for workshop of metasynthetic engineering     complex decision-making problem     interactive genetic    

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INTERACTIVE KNOWLEDGE LEARNING BY ARTIFICIAL INTELLIGENCE FOR SMALLHOLDERS

Frontiers of Agricultural Science and Engineering 2023, Volume 10, Issue 4,   Pages 648-653 doi: 10.15302/J-FASE-2023505

Abstract: Therefore, this article proposes an interactive knowledge learning approach using artificial intelligenceThe interactive knowledge learning approach aims to identify and rectify incorrect practices in the knowledge-basedInvestigations show that the interactive knowledge learning approach can make a strong contribution to

Keywords： artificial intelligence     extension system     non-point source pollution control     smallholders     fertilization    

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Visual interactive image clustering: a target-independent approach for configuration optimization in Research Article

Lvhan PAN, Guodao SUN, Baofeng CHANG, Wang XIA, Qi JIANG, Jingwei TANG, Ronghua LIANG

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 3,   Pages 355-372 doi: 10.1631/FITEE.2200547

Abstract: (MVM) is an essential approach that measures the area or length of a target efficiently and non-destructively for product quality control. The result of MVM is determined by its configuration, especially the in image acquisition and the algorithmic in image processing. In a traditional workflow, engineers constantly adjust and verify the configuration for an acceptable result, which is time-consuming and significantly depends on expertise. To address these challenges, we propose a target-independent approach, , which facilitates configuration optimization by grouping images into different clusters to suggest lighting schemes with common parameters. Our approach has four steps: data preparation, data sampling, data processing, and visual analysis with our visualization system. During preparation, engineers design several candidate lighting schemes to acquire images and develop an algorithm to process images. Our approach samples engineer-defined parameters for each image and obtains results by executing the algorithm. The core of data processing is the explainable measurement of the relationships among images using the algorithmic parameters. Based on the image relationships, we develop VMExplorer, a visual analytics system that assists engineers in grouping images into clusters and exploring parameters. Finally, engineers can determine an appropriate lighting scheme with robust parameter combinations. To demonstrate the effectiveness and usability of our approach, we conduct a case study with engineers and obtain feedback from expert interviews.

Keywords： Machine vision measurement     Lighting scheme design     Parameter optimization     Visual interactive image    

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The investigation of fly ash based asphalt binders using atomic force microscope

Rajan SAHA, Kyle MALLOY, Emil BAUTISTA, Konstantin SOBOLEV

Frontiers of Structural and Civil Engineering 2017, Volume 11, Issue 4,   Pages 380-387 doi: 10.1007/s11709-017-0437-3

Abstract: Atomic Force Microscope (AFM) is a relatively new technique for investigation of construction materials. In this study AFM was used to investigate the interaction of asphalt binder with fly ash. Fly ash is a coal combustion byproduct of electric power utilities having pozzolanic properties and commonly used in Portland cement concrete. In this study, an investigation was made by using different types of fly ash with two types of asphalt binders such as PG 58-28 and PG 64-28. Asphalt microstructure is divided into four subgroups such as Saturates, Aromatics, Resins and Asphaltenes (SARA). These four phases can be distinguished by the atomic force microscope. The interaction of these phases affected by introducing fly-ash was investigated and correlation with rheological properties was observed.

Keywords： AFM     fly ash     bee     rheology     asphalt    

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Hybrid optimization algorithm for modeling and management of micro grid connected system

Kallol ROY,Kamal Krishna MANDAL

Frontiers in Energy 2014, Volume 8, Issue 3,   Pages 305-314 doi: 10.1007/s11708-014-0308-8

Abstract: Here, the hybrid algorithm is obtained as artificial bee colony (ABC) algorithm, which is used in two

Keywords： micro grid (MG)     multi-objective function     artificial bee colony (ABC)     fuel cost     operation and maintenance    

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Interactive visual labelling versus active learning: an experimental comparison Research

Mohammad CHEGIN, Jürgen BERNARD, Jian CUI, Fatemeh CHEGINI, Alexei SOURIN, Keith Keith, Tobias SCHRECK

Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 4,   Pages 524-535 doi: 10.1631/FITEE.1900549

Abstract: Interactive visual labelling techniques are a promising alternative, providing effective visual overviewsWhile initial results of interactive visual labelling techniques are promising in the sense that userThis paper presents a study conducted using the mVis tool to compare three interactive visualisationsThe results show that all three interactive visual labelling techniques surpass active learning algorithms

Keywords： Interactive visual labelling     Active learning     Visual analytics    

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Title Author Date Type Operation

long-term model with consideration of uncertainties for deployment of distributed energy resources using interactivehoney bee mating optimization

Iraj AHMADIAN,Oveis ABEDINIA,Noradin GHADIMI

Journal Article

Artificial bee colony optimization for economic dispatch with valve point effect

Yacine LABBI,Djilani Ben ATTOUS,Belkacem MAHDAD

Journal Article

An improved artificial bee colony algorithm with MaxTF heuristic rule for two-sided assembly line balancing

Xiaokun DUAN, Bo WU, Youmin HU, Jie LIU, Jing XIONG

Journal Article

Interactive effects of high-speed rail on nodal zones in a city: exploratory study on China

Guo LIU, Kunhui YE

Journal Article

Damage assessment and diagnosis of hydraulic concrete structures using optimization-based machine learning technology

Journal Article

Research on the dynamic interactive management theory of high-speed rail station projects

Zheng Jian

Journal Article

Modified Binary Artificial Bee Colony Algorithm forMultidimensional Knapsack Problem

Wang Zhigang,Xia Huiming

Journal Article

Conceptual study on incorporating user information into forecasting systems

Jiarui HAN, Qian YE, Zhongwei YAN, Meiyan JIAO, Jiangjiang XIA

Journal Article

Plant Traits for Phytoremediation in the Tropics

Xiangting Cleo Chen, Liling Huang, Tze Hsien Agnes Chang, Bee Lian Ong, Say Leong Ong, Jiangyong Hu

Journal Article

Group discussion based on the model of interactive genetic algorithms

Song Dongming,Zhu Yaoqin,Wu Huizhong

Journal Article

INTERACTIVE KNOWLEDGE LEARNING BY ARTIFICIAL INTELLIGENCE FOR SMALLHOLDERS

Journal Article

Visual interactive image clustering: a target-independent approach for configuration optimization in

Lvhan PAN, Guodao SUN, Baofeng CHANG, Wang XIA, Qi JIANG, Jingwei TANG, Ronghua LIANG

Journal Article

The investigation of fly ash based asphalt binders using atomic force microscope

Rajan SAHA, Kyle MALLOY, Emil BAUTISTA, Konstantin SOBOLEV

Journal Article

Hybrid optimization algorithm for modeling and management of micro grid connected system

Kallol ROY,Kamal Krishna MANDAL

Journal Article

Interactive visual labelling versus active learning: an experimental comparison

Mohammad CHEGIN, Jürgen BERNARD, Jian CUI, Fatemeh CHEGINI, Alexei SOURIN, Keith Keith, Tobias SCHRECK

Journal Article