• Title/Summary/Keyword: branch support

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Importance, Support and Application for Contract Foodservice Management Company′s Infra-System in the Viewpoint of Headquarters and Branch Office (위탁급식전문업체의 운영관리 인프라 시스템에 대한 본사와 업장 측면에서의 중요도, 지원도, 활용도 탐색)

  • 양일선;박문경;한경수;채인숙;박소현;이해영
    • Korean Journal of Community Nutrition
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    • v.9 no.2
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    • pp.233-240
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    • 2004
  • This study was design to grope the suggestions leading synergic effects by bridging the gap between headquarters and branch office, and so to identify the infra-system of contract foodservice management company (CFMC) necessary for operating any kind of branch office including school, hospital and business and industry (B&I). Among 8 categories consisted of infra-system in CFMC, 'C8. Evaluation & analysis for branch office's operation' was the most important category in the headquarter's viewpoint, while 'C3. Sanitation management system' was the most important category in branch office's viewpoint. In support and application, 'C3. Sanitation management system' was the highest category in both headquarters and branch offices including school, hospital and B&I. As a result of analysis on gap between main and branch office in importance, support and application in 8 categories, the efforts of communication and community of perception for infrastructure were needed, because 'C4. Education & training for human resource management (HRM) system' and 'C8. Evaluation & analysis for branch office's operation' in importance, 'C2. Menu management system', 'C4. Education & training for HRM system', 'C6. Facility & utility support system' and 'C8. Evaluation & analysis for branch office's operation' in support had a gap. Correlation analysis to grasp the relation between importance of infra-system and headquarters' support or branch office's application showed that headquarters's importance and support were correlated positively in 'C3. Sanitation management system', 'C6. Facility & utility support system', 'C7. Customer satisfaction management system' and 'C8. Evaluation & analysis for branch office's operation' and branch office's importance and application were correlated positively in 'C1. Procurement & food processing system', 'C5. Management Information system', 'C7. Customer satisfaction management system' and 'C8. Evaluation & analysis for branch office's operation'. Lastly, 'C6. Facility & utility support system' in the branch office of school and hospital and 'C2. Menu management system' in the branch office of B&I were high in importance, low in support and application, therefore Intensive support for these categories was needed. In conclusion, continuous check and improvement for categories, which were identified as an urgent problems to be solved in this study, among infra-structure qualifying for CFMC, would enable contract foodservice industry that has grown quantitatively till now to grow qualitatively.

Analysis of the effect from the Distribution Engineering Contest and course of improvement (배전기술 경진대회 발전방향 및 효과분석)

  • Lee, Won-Jung;Won, Tai-Seung;Kang, Gi-Nam;Lee, Sun-Hee
    • Proceedings of the KIEE Conference
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    • 2008.07a
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    • pp.2228-2229
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    • 2008
  • 한국전력공사에서는 신배전정보시스템(NDIS1)) 및 배전자동화(DAS2)) 활용능력 향상과 배전업무 우수인력 양성을 위하여 2004년부터 매년 배전기술경진대회를 치러오고 있으며 올해 제5회 대회를 맞이하고 있다. 따라서 2004년부터 현재까지 배전기술 경진대회의 발전 방향을 소개하고, 아울러 대회 신청자, 참가자 등 각종 데이터에 대한 이력관리를 통하여 결과를 분석하고 참가자에 대한 업무수행 능력 수준 및 평가요소별 강 약점을 제시하고 지역별, 연령별 수준분석을 통한 배전정책결정 기초 자료로 활용하고자 한다.

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Implementing a Branch-and-bound Algorithm for Transductive Support Vector Machines

  • Park, Chan-Kyoo
    • Management Science and Financial Engineering
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    • v.16 no.1
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    • pp.81-117
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    • 2010
  • Semi-supervised learning incorporates unlabeled examples, whose labels are unknown, as well as labeled examples into learning process. Although transductive support vector machine (TSVM), one of semi-supervised learning models, was proposed about a decade ago, its application to large-scaled data has still been limited due to its high computational complexity. Our previous research addressed this limitation by introducing a branch-and-bound algorithm for finding an optimal solution to TSVM. In this paper, we propose three new techniques to enhance the performance of the branch-and-bound algorithm. The first one tightens min-cut bound, one of two bounding strategies. Another technique exploits a graph-based approximation to a support vector machine problem to avoid the most time-consuming step. The last one tries to fix the labels of unlabeled examples whose labels can be obviously predicted based on labeled examples. Experimental results are presented which demonstrate that the proposed techniques can reduce drastically the number of subproblems and eventually computational time.

Polymer Support Immobilized Acidic Ionic Liquid: Preparation and Its Application as Catalyst in the Synthesis of Hantzsch 1,4-Dihydropyridines

  • Jahanbin, Bentolhoda;Davoodnia, Abolghasem;Behmadi, Hossein;Tavakoli-Hoseini, Niloofar
    • Bulletin of the Korean Chemical Society
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    • v.33 no.7
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    • pp.2140-2144
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    • 2012
  • A polymer support immobilized acidic ionic liquid was prepared by copolymerization of 3-vinyl-1-(4-sulfonic acid)butylimidazolium hydrogen sulfate with styrene in the presence of benzoyl peroxide and its primary application as a solid acidic heterogeneous catalyst to the synthesis of Hantzsch 1,4-dihydropyridines through a one-pot three-component reaction of aromatic aldehydes, ethyl acetoacetate and ammonium acetate was investigated. The results showed that this heterogeneous catalyst has high catalytic activity and the desired products were obtained in good to high yields. Moreover, the catalyst was found to be reusable and a considerable catalytic activity still could be achieved after third run.

A Branch-and-Bound Algorithm for Finding an Optimal Solution of Transductive Support Vector Machines (Transductive SVM을 위한 분지-한계 알고리즘)

  • Park Chan-Kyoo
    • Journal of the Korean Operations Research and Management Science Society
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    • v.31 no.2
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    • pp.69-85
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    • 2006
  • Transductive Support Vector Machine(TSVM) is one of semi-supervised learning algorithms which exploit the domain structure of the whole data by considering labeled and unlabeled data together. Although it was proposed several years ago, there has been no efficient algorithm which can handle problems with more than hundreds of training examples. In this paper, we propose an efficient branch-and-bound algorithm which can solve large-scale TSVM problems with thousands of training examples. The proposed algorithm uses two bounding techniques: min-cut bound and reduced SVM bound. The min-cut bound is derived from a capacitated graph whose cuts represent a lower bound to the optimal objective function value of the dual problem. The reduced SVM bound is obtained by constructing the SVM problem with only labeled data. Experimental results show that the accuracy rate of TSVM can be significantly improved by learning from the optimal solution of TSVM, rather than an approximated solution.

Comparison of support vector machines enabled WAVELET algorithm, ANN and GP in construction of steel pallet rack beam to column connections: Experimental and numerical investigation

  • Hossein Hasanvand;Tohid Pourrostam;Javad Majrouhi Sardroud;Mohammad Hasan Ramasht
    • Structural Engineering and Mechanics
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    • v.87 no.1
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    • pp.19-28
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    • 2023
  • This paper describes the experimental investigation of steel pallet rack beam-to-column connec-tions. Total behavior of moment-rotation (M-φ) curve and the effect of particular characteristics on the behavior of connection were studied and the associated load strain relationship and corre-sponding failure modes are presented. In this respect, an estimation of SPRBCCs moment and rotation are highly recommended in early stages of design and construction. In this study, a new approach based on Support Vector Machines (SVMs) coupled with discrete wavelet transform (DWT) is designed and adapted to estimate SPRBCCs moment and rotation according to four input parameters (column thickness, depth of connector and load, beam depth,). Results of SVM-WAVELET model was compared with genetic programming (GP) and artificial neural networks (ANNs) models. Following the results, SVM-WAVELET algorithm is helpful in order to enhance the accuracy compared to GP and ANN. It was conclusively observed that application of SVM-WAVELET is especially promising as an alternative approach to estimate the SPRBCCs moment and rotation.

What do we need to be happy? evidence from a psychosocial perspective

  • Kye, Su Yeon;Oh, Kyoung Hee;Park, Kee Ho
    • Korean Journal of Health Education and Promotion
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    • v.32 no.1
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    • pp.11-21
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    • 2015
  • Objectives: This study aims to identify the psychosocial factors affecting on happiness among the general population in South Korea. Methods: This cross-sectional study was conducted using the multiple-stratified random sampling on the Korea Census of 2005. In October 2009, investigators conducted 15-minute face-to-face interviews with 1,500 South Korean volunteers ranging from 30 to 69 years old with no history of cancer. The questionnaire included socio-demographics, stress levels, coping strategies, social support, SOC, and happiness levels. Results: The multivariate analysis identified that married persons were more likely to be happy than those who were not married, respondents who had a higher score of stress and SOC were less likely to be happy, and those who had a higher score of social support from family were more likely to be happy. Conclusions: Interventions designed to increase happiness may need to include activities to control stress and promote social support from family.

Fabrication of Boehmite-based UF Ceramic Membrane (베마이트를 이용한 UF 세라믹 분리막의 제조)

  • Wi, In-Hee;Shin, Dong-Wook;Han, Kyu-Sung;Kim, Jin-Ho;Cho, Woo-Seok;Hwang, Kwang-Taek
    • Journal of the Korean Ceramic Society
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    • v.51 no.4
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    • pp.337-343
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    • 2014
  • A single layer ultrafiltration(UF) ceramic membrane was prepared using boehmite sol. Boehmite was synthesized using a typical sol-gel process with optimization of the viscosity, pH, molar ratio of aluminum isopropoxide(AIP) and $HNO_3$. Boehmite sol was coated on a microfiltration(MF) support using the dip-coating method. MF support was dipped into the boehmite sol with a withdrawal speed of 5 mm/s and was maintained for 10 s in the boehmite sol, resulting in a uniform UF membrane layer of $10{\mu}m$ thickness. The porosity of the obtained membrane was measured and found to be 41.2%; the pore size was found to range from 80~100 nm, corresponding to the pore size of the UF membrane. The flux of the obtained membrane was initially 540 $L/m^2h$ and approximately 85% of the initial flux was recovered using a periodic back-flushing process.

Preparation, Characterization and First Application of Alumina Supported Polyphosphoric Acid (PPA/Al2O3) as a Reusable Catalyst for the Synthesis of 14-Aryl-14H-dibenzo[a, j]xanthenes

  • Norouzi, Haniyeh;Davoodnia, Abolghasem;Bakavoli, Mehdi;Zeinali-Dastmalbaf, Mohsen;Tavakoli-Hoseini, Niloofar;Ebrahimi, Mahmoud
    • Bulletin of the Korean Chemical Society
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    • v.32 no.7
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    • pp.2311-2315
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    • 2011
  • Alumina supported polyphosphoric acid (PPA/$Al_2O_3$) was successfully prepared by impregnation of alumina support by polyphosphoric acid and characterized using FT-IR spectroscopy, the $N_2$ adsorption/desorption analysis (BET), thermal analysis (TG/DTG), and X-ray diffraction (XRD) techniques. The catalytic behavior of this new solid acid supported heterogeneous catalyst was checked in the synthesis of 14-aryl-14H-dibenzo[a, j]xanthenes by cyclocondensation reaction of ${\beta}$-naphthol and aryl aldehydes under solvent-free conditions. The results showed that the novel catalyst has high activity and the desired products were obtained in very short reaction times with high yields. Moreover, the catalyst can be easily recovered by filtration and reused at least three times with only slight reduction in its catalytic activity.