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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 interactivegenetic algorithms, in which expert group thought and the computer technology are integrated tightly

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

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long-term model with consideration of uncertainties for deployment of distributed energy resources using interactive

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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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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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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Machine learning modeling identifies hypertrophic cardiomyopathy subtypes with genetic signature

Frontiers of Medicine 2023, Volume 17, Issue 4, Pages 768-780 doi: 10.1007/s11684-023-0982-1

Abstract: By employing echocardiography and genetic screening for the 46 genes, HCM can be classified into two

Keywords： machine learning methods hypertrophic cardiomyopathy genetic risk

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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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Interplay between diet and genetic susceptibility in obesity and related traits

Tiange Wang, Min Xu, Yufang Bi, Guang Ning

Frontiers of Medicine 2018, Volume 12, Issue 6, Pages 601-607 doi: 10.1007/s11684-018-0648-6

Abstract: Longitudinal studies and randomized intervention trials have shown that genetic susceptibility to obesity

Keywords： diet genetic susceptibility obesity interaction

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Optimal design of steel skeletal structures using the enhanced genetic algorithm methodology

Tugrul TALASLIOGLU

Frontiers of Structural and Civil Engineering 2019, Volume 13, Issue 4, Pages 863-889 doi: 10.1007/s11709-019-0523-9

Abstract: For this purpose, the enhanced genetic algorithm methodology named EGAwMP is utilized as an optimizationThe evolutionary search mechanism of EGAwMP is constituted on the basis of generational genetic algorithminto sub-populations and using of a radial basis neural network for dynamically adjustment of EGAwMP’s genetic

Keywords： design optimization genetic algorithm multiple populations neural network

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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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Research progress on genetic improvement of

Chuanping YANG

Frontiers of Agricultural Science and Engineering 2017, Volume 4, Issue 4, Pages 391-401 doi: 10.15302/J-FASE-2017183

Abstract: Over the past 30 years, effective progress has been made in genetic improvement and molecular breedingmolecular markers were developed and the high density genetic map constructed.All this research has provided a model and data for the foundation of forest genetic improvement and

Keywords： Betula platyphylla genetic improvement molecular breeding seed orchard

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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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Genomics and genetic breeding in aquatic animals: progress and prospects

Wenteng XU, Songlin CHEN

Frontiers of Agricultural Science and Engineering 2017, Volume 4, Issue 3, Pages 305-318 doi: 10.15302/J-FASE-2017154

Abstract: focuses on dissection of genome structure and function to provide a molecular basis for understanding the geneticprogress of aquatic animals in nine aspects, including WGS and fine mapping, construction of high density genetic

Keywords： aquaculture genomics genetic breeding progress

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Search-and-replace editing of genetic information

Yao LIU, Xingxu HUANG, Xiaolong WANG

Frontiers of Agricultural Science and Engineering 2020, Volume 7, Issue 2, Pages 231-232 doi: 10.15302/J-FASE-2020322

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Chao SUN, Meng LAI, Shougong ZHANG, Xiaomei SUN

Frontiers of Agricultural Science and Engineering 2017, Volume 4, Issue 4, Pages 482-492 doi: 10.15302/J-FASE-2017184

Abstract: With the aim of performing efficient early selection for wood properties, we investigated genetic variationAfter the age of 6, genetic correlations were generally higher than phenotypic correlations.

Keywords： early selection genetic variation wood properties SilviScan Larix kaempferi

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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