• Title/Summary/Keyword: Multi-objectives

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Multi-Phasic Mental Health Characteristics according to Harm-Avoidance and Self-Directedness Profile of Cloninger's Biopsychosocial Model (클로닌저의 생리심리사회 모델에서 위험회피-자율성 프로파일에 따른 다면적 정신건강 특성)

  • Chae, Han;Lee, Soo Jin
    • Journal of Oriental Neuropsychiatry
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    • v.33 no.3
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    • pp.259-266
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    • 2022
  • Objectives: The combination of Harm-Avoidance (HA) and Self-Directedness (SD) of Temperament and Character Inventory (TCI) has been reported pivotal for mental health; however its clinical usefulness in integrative medicine has not sufficiently reported. The purpose of this study was to illustrate multi-phasic mental health of subjective satisfaction with life, emotional well-being, and psychopathology, following the HA-SD profile groups. Methods: A total of 527 Korean university students reported HA and SD scores as to render their HA-SD profile, and multi-phasic mental health characteristics using Satisfaction with Life Scale (SWLS), Positive Affect and Negative Affect Schedule (PANAS), and Beck Depression Inventory (BDI) with composite well-being scales of SC (Sum of Self-Directedness and Cooperativeness score) and HI (Happiness Index, subtraction of Negative Affect (NA) score from Positive Affect (PA) score) as standardized. Pearson's correlation was used to report correlation coefficient, and the ANCOVA with age and sex as covariates, to show significant differences in mental health and well-being between the HA-SD profile groups. Results: The HA-SD profile groups showed distinctive multi-phasic mental health characteristics; health related scores of SWLS, PA, SC and HI decreased following the order of hS (low HA and high SD), HS (high HA and high SD), hs (low HA and low SD) and Hs (high HA and low SD) profile groups; however the non-health related scores of NA and BDI showed contrasting order. Conclusions: The HA-SD profile was found to be clinically useful for examining multi-phasic mental health and well-being status, and the TCI may be an imperative personality inventory for integrative medicine.

Genetic Algorithm based Methodology for an Single-Hop Metro WDM Networks

  • Yang, Hyo-Sik;Kim, Sung-Il;Shin, Wee-Jae
    • Proceedings of the Korea Institute of Convergence Signal Processing
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    • 2005.11a
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    • pp.306-309
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    • 2005
  • We consider the multi-objective optimization of a multi-service arrayed-waveguide grating-based single-hop metro WDM network with the two conflicting objectives of maximizing throughput while minimizing delay. We develop and evaluate a genetic algorithm based methodology for finding the optimal throughput-delay tradeoff curve, the so-called Pareto-optimal frontier. Our methodology provides the network architecture and the Medium Access Control protocol parameters that achieve the Pareto-optima in a computationally efficient manner. The numerical results obtained with our methodology provide the Pareto-optimal network planning and operation solution for a wide range of traffic scenarios. The presented methodology is applicable to other networks with a similar throughput-delay tradeoff.

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A Study on the Multi-Objective Optimization of Impeller for High-Power Centrifugal Compressor

  • Kang, Hyun-Su;Kim, Youn-Jea
    • International Journal of Fluid Machinery and Systems
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    • v.9 no.2
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    • pp.143-149
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    • 2016
  • In this study, a method for the multi-objective optimization of an impeller for a centrifugal compressor using fluid-structure interaction (FSI) and response surface method (RSM) was proposed. Numerical simulation was conducted using ANSYS CFX and Mechanical with various configurations of impeller geometry. Each design parameter was divided into 3 levels. A total of 15 design points were planned using Box-Behnken design, which is one of the design of experiment (DOE) techniques. Response surfaces based on the results of the DOE were used to find the optimal shape of the impeller. Two objective functions, isentropic efficiency and equivalent stress were selected. Each objective function is an important factor of aerodynamic performance and structural safety. The entire process of optimization was conducted using the ANSYS Design Xplorer (DX). The trade-off between the two objectives was analyzed in the light of Pareto-optimal solutions. Through the optimization, the structural safety and aerodynamic performance of the centrifugal compressor were increased.

Basin-Wide Multi-Reservoir Operation Using Reinforcement Learning (강화학습법을 이용한 유역통합 저수지군 운영)

  • Lee, Jin-Hee;Shim, Myung-Pil
    • Proceedings of the Korea Water Resources Association Conference
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    • 2006.05a
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    • pp.354-359
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    • 2006
  • The analysis of large-scale water resources systems is often complicated by the presence of multiple reservoirs and diversions, the uncertainty of unregulated inflows and demands, and conflicting objectives. Reinforcement learning is presented herein as a new approach to solving the challenging problem of stochastic optimization of multi-reservoir systems. The Q-Learning method, one of the reinforcement learning algorithms, is used for generating integrated monthly operation rules for the Keum River basin in Korea. The Q-Learning model is evaluated by comparing with implicit stochastic dynamic programming and sampling stochastic dynamic programming approaches. Evaluation of the stochastic basin-wide operational models considered several options relating to the choice of hydrologic state and discount factors as well as various stochastic dynamic programming models. The performance of Q-Learning model outperforms the other models in handling of uncertainty of inflows.

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Frequency Response Based Multi-Objective Design Toolbox for PID Controller (PID 제어기의 주파수응답 기반 다목적 설계도구)

  • Jin, Lihua;Lim, Yeon-Soo;Kim, Young-Chol
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.57 no.10
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    • pp.1869-1875
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    • 2008
  • Recently, a direct data-driven synthesis of a proportional integral derivative(PID) controller for a linear time-invariant(LTI) plant was presented in [1]. The authors showed that a complete set of PID controllers achieving robust performance and stability can be calculated directly from frequency response(FR) data without an identified transfer function model. However, it is not convenient to use this method because it requires complicated numerical algorithms to find specific frequencies which are solutions of an identical equation. The method also requires determination of the boundary of the controller's parameters from a finite set of FR data. In this paper, we present the development of a user-friendly Matlab toolbox based on the method in [1]. This toolbox allows us to obtain a complete three-dimensional(3-D) graphical solution of PID controllers that meet multiple design objectives. Several examples are given to demonstrate the use of the toolbox.

Optimum design of a walking tractor handlebar through many-objective optimisation

  • Mahachai, Apichit;Bureerat, Sujin;Pholdee, Nantiwat
    • Advances in Computational Design
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    • v.2 no.4
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    • pp.273-281
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    • 2017
  • In this work, a comparative study of multi-objective meta-heuristics (MOMHs) for optimum design of a walking tractor handlebar is conducted in order to reduce the structural mass and increase structural static and dynamic stiffness. The design problem has objective functions as maximising structural natural frequencies, minimising structural mass, bending deflection and torsional deflection with stress constraints. The problem is classified as a many-objective optimisation since there are more than three objectives. Design variables are structural shape and size. Several well established multi-objective optimisers are employed to solve the proposed many-objective optimisation problems of the walking tractor handlebar. The results are compared whereas optimum design solutions of the walking tractor handlebar are illustrated.

SIMP: SLICKS AS INDICATORS FOR MARINE PROCESSES

  • Mitnik, Leonid M.;Gade, Martin;Ermakov, Stanislav A.;Lavrova, Olga Yu.;Silva, Jose B.C. da;Woolf, David K.
    • Proceedings of the KSRS Conference
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    • v.2
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    • pp.950-953
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    • 2006
  • SIMP is an international project funded by INTAS aimed at improving the information content, which can be inferred from multi-sensor satellite imagery of marine coastal areas. Scientific teams from Germany, UK, Portugal, and Russia focus on the development of novel tools for marine remote sensing of the coastal zone. In particular, the project teams' benefit from the fact that surface films may enhance the signatures of hydrodynamic processes such as plumes, internal waves, eddies, etc., on microwave, optical, and infrared imagery. The project's objectives are to develop a robust methodology for identifying slick-related phenomena/processes through their surface signatures and thereby, to improve the discrimination capabilities between slicks and other oceanic and atmospheric phenomena by taking into account information gained from satellite imagery quasi-simultaneously recorded at microwave, visible and IR wavelengths. The results of the two project years are summarized. Examples are given for the project’s web presentation, laboratory and field experiments, and of the analyses of various satellite data.

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On the Large Area Multi Modal Network Formulation Techniques (대중교통순석을 위한 교통망작성기법)

  • 강위훈
    • Journal of Korean Society of Transportation
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    • v.1 no.1
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    • pp.48-55
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    • 1983
  • One of the major objectives of a transportation study is to provide the transportation networks for future years in order to accommodate the projected transport demand for the movement of passengers and goods utilizing the optimum "mix" of modes. To achieve this goal, the planning process starts with collection and analysis of data to determine the existing traffic demand and travel pattern, and to assign the future trip interchanges on th existing and planned networks to determine areas of improvements so that it can cope with increasing future traval demand. The purpose of this paper attempts to explain the public transport network formulation techniques which can be easily applied to the large urban area multi modal public transport system.

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A study on the Optimal VAR allocation Using Fuzzy Linear Programming with Multi-criteria function (Fuzzy 다목적 선형계획법을 이용한 최적 무효전력 배분계획에 관한 연구)

  • Song, Kil-Yeong;Lee, Hee-Yeong
    • Proceedings of the KIEE Conference
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    • 1992.07a
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    • pp.211-213
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    • 1992
  • Fuzzy L. P. with Multi-criteria function is adopted in this VAR allocation algorithm to accomplish the optimization of co-conflicting objectives, such as the amount of the VAR Installed and power system loss, while keeping the bus voltage profile within an admissible range. fuzzy L. P., a powerful tool dealing with the fuzziness of satisfaction levels of the constraints and the goal of objective functions, enables us to search for the solutions which may contribute in VAR planning. This advantage Is not provided by traditional standardized L. P. The effectiveness of the proposed algorithm has been verified by the test on the IEEE-30 bus system.

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Study on Antibiotic Resistant Enterobacteria in Pharmaceutical Effluent (제약회사 폐수처리장 방류수 중 항생제 내성 Enterobacteria에 관한 연구)

  • Kim, Jae-Gun;Kim, Young Jin
    • Journal of Environmental Health Sciences
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    • v.42 no.1
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    • pp.34-40
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    • 2016
  • Objectives: This study aims to examine the concentration, diversity, and antibiotic characteristics of penicillin G resistant enterobacteria present in pharmaceutical effluent. Methods: Water sampling was performed from a pharmaceutical company in Gyeonggi-do Province, Korea in March 2015. Water samples were plated in triplicate on tryptic soy agar plates with 32 mg/L of penicillin G. Penicillin G resistant enterobacteria were selected from the effluent and were subjected to 16S rRNA analysis for penicillin G resistant species determination. Identified resistant strains were tested for resistance to various antibiotics. Results: Penicillin G resistant enterobacteria were present at 6.2% as to culturable heterotrophic bacteria. Identified penicillin G resistant enterobacteria exhibited resistance to more than 10 of the antibiotics studied. These resistant bacteria are gram negative and are closely related to pathogenic species. Conclusion: Multi-antibiotic resistant bacteria in the effluent suggest a need for disinfection and advanced oxidation processes for pharmaceutical effluents.