• Title/Summary/Keyword: DEA Model

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The Productivity Analysis on Regional Logistics Warehouse (지역별 물류창고의 생산성 분석)

  • Park, Hong-Gyun
    • Journal of Korea Port Economic Association
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    • v.28 no.1
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    • pp.143-157
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    • 2012
  • By strengthening the market control and expanding the networks, providers of global logistics are expanding their service scope. The warehouses connect networks to internal and external warehouses by using logistics providers. The paper focuses on analyzing the efficiency of warehouses on each district. Therefore, the study classifies the factors which specify the efficiency of a total logistics of warehouse industry and warehouses' employees and the number of warehouses on district. Furthermore, the most recently published reports by National Center for Statistics in 2012 was used in order to guarantee credibility of the study. This study utilizes five years of materials, which are from 2005 to 2009. By applying SBM (Slack Based Measure), DEA Window model, and the Malmquist productivity model, the trend in efficiency and stableness were analyzed. The principal purpose of the paper is evaluating the efficiency. Also, analyzing its determinants and illustrating a long-term relationship between the regional warehouses and annual turnover of the warehouses were used as output measures. In addition, the number of warehouses of each region, employees, warehouses equipments, and the Logistics Warehouses Providers were used as input measurements. As a result, Malmquist productivity model and annual stableness has shown a continuous increasing. Ultimately, to be approved as product of Korea, a new stratiges that meet the standards and Rules of Origins by FTA should be developed. Therefore, there must be a development that takes regional characteristics into consideration.

Effects of Schizonepeta Spica water extrect on the OVA-induced BALB/c mice model of allergic rhinitis (난알부민으로 알레르기 비염이 유발된 마우스에서 형개의 개선효과)

  • Song, Dea-Uk;Heo, Jun;Lee, SungYub;Kim, Jae-Hyun;Lee, Bina;Min, Ju-Hee;Kim, Eun-Young;Sohn, Youngjoo;Jung, Hyuk-Sang
    • The Korea Journal of Herbology
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    • v.30 no.6
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    • pp.39-46
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    • 2015
  • Objectives : The aim of this study was to evaluate the effect of Schizonepeta Spica water extract (SS) on the OVA-induced BLAB/c mice allergic rhinitis model.Methods : Thirty two BALB/c mice were equally assigned to 4 groups; the sham group, the control group, the cetirizine hydrochloride (Cet) treatment group, and the SS treatment group. Sham group was sensitized and challenged with saline, and the other groups were sensitized and challenged with OVA. The dosage of SS was 7.6 mg /kg·day, and Cet was 10 mg/kg·day. Nasal rubbing and sneezing were measured by the behavior observation. The concentrations of IL-1β, IL-10, TNF-α and MIP-2 in the sera of allergic rhinitis model were measured by mouse cytokine/chemokine magnetic bead panel kits. Total IgE and OVA-specific IgE were measured by ELISA method. Epithelial thickness and eosinophil infiltration of nasal septum was investigated by histological examination.Results : The clinical symptoms that increased in control group were significantly reduced in SS-treated group. Serum total IgE and OVA-specific IgE in the SS-treated group were significantly reduced compared to the control group. The concentration of IL-1β, IL-10, TNF-α and MIP-2 in SS-treated group showed a significant reduction compared to the control group. The infiltration of eosinophil into nasal tissues of SS-treated group decreased markedly compared to control group, and thickness of nasal septum in nasal mucosa showed a significant reduction compared to control group.Conclusions : According to the above result, it is suggested that SS may inhibit the early and late phase of allergic rhinitis reaction.

An Empirical Study on the Measurement of Clustering and Trend Analysis among the Asian Container Ports Using Self Organizing Maps based on Neural Network and Tier Models (자기조직화지도 신경망 모형과 Tier 모형을 이용한 아시아컨테이너항만의 클러스터링측정 및 추세분석에 관한 실증적 연구)

  • Park, Rokyung
    • Journal of Korea Port Economic Association
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    • v.30 no.1
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    • pp.23-55
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    • 2014
  • The purpose of this paper is to show the clustering trend and to choose the clustering ports for 3 Korean ports(Busan, Incheon and Gwangyang Ports) by using the self organizing maps based on neural network(SOM) and Tier models for 38 Asian ports during 11 years(2001-2011) with 4 input variables(birth length, depth, total area, and number of crane) and 1 output variable(container TEU). The main empirical results of this paper are as follows. First, clustering results by using SOM show that 3 Korean ports[Busan(26.5%), Incheon(13.05%), and Gwangyang(22.95%) each]can increase the efficiency. Second, according to Tier model, Busan(Hongkong, Sanghai, Manila, and Singapore), Incheon(Aden, Ningbo, Dabao, and Bangkog), and Gwangyang(Aden, Ningbo, Bangkog, Hipa, Dubai, and Guangzhou) should be clustered with those ports in parentheses. Third, when both SOM and Tier models are mixed, (1) efficiency improvement of Busan Port is greater than those of Incheon and Gwangyang ports. (2) Incheon port has shown the slow improvement during 2001-2007, but after 2008, improvement speed was high. (3) improvement level of Gwangyang port was high during 2001-2003, but after 2004, improvement level was constantly decreased. The policy implication of this paper is that Korean port policy planner should introduce the SOM, and Tier models with the mixed two models when clustering among the Asian ports for enhancing the efficiency of inputs and outputs.

Gene Co-expression Network Analysis Associated with Acupuncture Treatment of Rheumatoid Arthritis: An Animal Model

  • Ravn, Dea Louise;Mohammadnejad, Afsaneh;Sabaredzovic, Kemal;Li, Weilong;Lund, Jesper;Li, Shuxia;Svendsen, Anders Jorgen;Schwammle, Veit;Tan, Qihua
    • Journal of Acupuncture Research
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    • v.37 no.2
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    • pp.128-135
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    • 2020
  • Background: Classical acupuncture is being used in the treatment of rheumatoid arthritis (RA). To explore the biological response to acupuncture, a network-based analysis was performed on gene expression data collected from an animal model of RA treated with acupuncture. Methods: Gene expression data were obtained from published microarray studies on blood samples from rats with collagen induced arthritis (CIA) and non-CIA rats, both treated with manual acupuncture. The weighted gene co-expression network analysis was performed to identify gene clusters expressed in association with acupuncture treatment time and RA status. Gene ontology and pathway analyses were applied for functional annotation and network visualization. Results: A cluster of 347 genes were identified that differentially downregulated expression in association with acupuncture treatment over time; specifically in rats with CIA with module-RA correlation at 1 hour after acupuncture (-0.27; p < 0.001) and at 34 days after acupuncture (-0.33; p < 0.001). Functional annotation showed highly significant enrichment of porphyrin-containing compound biosynthetic processes (p < 0.001). The network-based analysis also identified a module of 140 genes differentially expressed between CIA and non-CIA in rats (p < 0.001). This cluster of genes was enriched for antigen processing and presentation of exogenous peptide antigen (p < 0.001). Other functional gene clusters previously reported in earlier studies were also observed. Conclusion: The identified gene expression networks and their hub-genes could help with the understanding of mechanisms involved in the pathogenesis of RA, as well understanding the effects of acupuncture treatment of RA.

An Empirical Study on the Clustering Measurement and Trend Analysis among the Asian Ports Using the Context-dependent and Measure-specific Models (컨텍스트의존 모형 및 측정특유 모형을 이용한 아시아항만들의 클러스터링 측정 및 추세분석에 관한 실증적 연구)

  • Park, Ro-Kyung
    • Journal of Korea Port Economic Association
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    • v.28 no.1
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    • pp.53-82
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    • 2012
  • The purpose of this paper is to show the clustering trend by using the context-dependent and measure-specific models for 38 Asian ports during 10 years(2001-2009) with 4 inputs and 1 output. The main empirical results of this paper are as follows. First, clustering results by using context-dependent and measure-specific models are same. Second, the most efficient clustering was shown among the Hong Kong, Singapore, Ningbo, Guangzhou, and Kaosiung ports. Third, Port Sultan Qaboos, Jeddah, and Aden ports showed the lowest level clustering. Fourth, ranking order of attractiveness is Guangzhou, Dubai, HongKong, Ningbo, and Shanghai, and the results of progressive scores confirmed that low level ports can increase their efficiency by benchmarking the upper level ports. Fifth, benchmark share showed that Dubai(birth length), and HongKong(port depth, total area, and no. of cranes) have affected the efficiency of the inefficient ports.

Study on Innovation Measurement of National R&D Investments for Nanotechnology Using Data Envelopment Analysis (자료포락분석을 통한 국가 나노기술 연구개발투자 결과의 혁신성 분석 연구)

  • Lim, Jung Sun;Hahn, Hyuk;Won, Dong-Kyu;Kim, Sanggook
    • Journal of Korea Technology Innovation Society
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    • v.22 no.2
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    • pp.207-219
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    • 2019
  • The international trends in activities of government R&D performance measurement is evolving into evidence-based approach to support the verification of objective policy implementation. The European Commission has been implementing KETs (Key Enabling Technologies) policy that incubates nanotech based emerging technologies to support the fourth industrial revolution/revitalization of high-tech manufacturing, and resulting innovations are quantified by KETs Observatory project. The European Commission also built Innovation Radar system that monitors potentially innovative projects within FP7 and Horizon2020 by data analysis. The United States is also upgrading its Federal RePORTER system to quantitatively monitor federal R&D investments with outcomes (including nanotechnology). In the field of Korean nanotechnology, basic statistical data by analyzing NTIS (National Science & Technology Information Service) information is applied in policy field. Developing innovation measurement methodology beyond basic statistical analysis is an international policy issue, and a long-term R&D investment area of a government. The objective of this model study is to quantify the innovation potential of nano R&D investments conducted by Korea government, using input-output based efficiency measurement model and NTIS (National Science & Technology Information Service) that is comprehensive data portal for national R&D investments/outcomes including nanotechnology.

Effects of KMS on the DNCB induced animal Model of Atopic Dermartitis (가미미후등식장탕이 DNCB 유도 아토피 피부염 동물모델에 미치는 효과)

  • Song, Dea-Uk;Min, Ga-Yul;Hong, SooYeon;Lim, Seo-Eun;Huh, Jung;Sohn, Youngjoo;Jung, Hyuk-Sang
    • The Journal of Korean Medicine
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    • v.40 no.1
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    • pp.63-77
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    • 2019
  • Objectives: The purpose of this study is to examine the effect of water and fermentation extracts of KMS (Kami-Mihudeongsikjang-tang) on AD (atopic dermatitis). Additionally, by applying the fermentation extracts of KMS at the first sensitization and latency period, I investgated whether it could prevent AD. Methods: In this study, to test the effect and preventive efficacy of KMSs on AD. DNCB-induced BALB/c mice of AD model was used. Through histological observation, epidermis and dermis thickness, the infiltration of eoshiphils and mast cells in epidermis and dermis were examined. We measured the serum level of IgE and IL-6, TNF-alpha, and the expressions of $NF-{\kappa}B$ and MAPK protein. In order to examine the effect of KMSs on keratinocyte, HaCaT cells were treated TNF-alpha and IFN-gamma to induce an inflammatory response. The KMSs were applied at various concentration in the experimental group. We investigated TARC expression. Results: The treatment groups were reduced epidermis and dermis thickness, inhibited the infiltration of eosinophils and mast cells, reduced the serum level of IL-6. Moreover, sfKMS group reduced serum level of TNF-alpha, inhibited the protein expressions of $NF-{\kappa}B$ and the phosphoryllation of ERK, JNK and p38. Especially sfKMS-pre group were reduced the serum level of IgE, show significant inhibition on the protein expression of $NF-{\kappa}B$ and the phosphoryllation of ERK, JNK and p38. In the experiment on HaCaT cells, sfKMS group were reduced expression of TARC. Conclusions: These result suggest that wKMS and sfKMS was effective in the treament on AD, and sfKMS would prevent AD.

A sea trial method of hull-mounted sonar using machine learning and numerical experiments (기계학습 및 수치실험을 활용한 선체고정형소나 해상 시운전 평가 방안)

  • Ho-seong Chang;Chang-hyun Youn;Hyung-in Ra;Kyung-won Lee;Dea-hwan Kim;Ki-man Kim
    • The Journal of the Acoustical Society of Korea
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    • v.43 no.3
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    • pp.293-304
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    • 2024
  • In this paper, efficient and reliable methodologies for conducting sea trials to evaluate the performance of hull-mounted sonar systems is discussed. These systems undergo performance verification during ship construction via sea trials. However, the evaluation procedures often lack detailed consideration of variabilities in detection performance due to seabed topography, seasonal factors. To resolve this issue, temperature and salinity structure data were collected from 1967 to 2022 using ARGO floats and ocean observers data. The paper proposes an efficient and reliable sea trial method incorporating Bellhop modeling. Furthermore, a machine learning model applying a Physics-Informed Neural Networks was developed using the acquired data. This model predicts the sound speed profile at specific points within the sea trial area, reflecting seasonal elements of performance evaluation. In this study, we predicted the seasonal variations in sound speed structure during sea trial operations at a specific location within the trial area. We then proposed a strategy to account for the variability in detection performance caused by seasonal factors, using results from Bellhop modeling.

A Study on Containerports Clustering Using Artificial Neural Network(Multilayer Perceptron and Radial Basis Function), Social Network, and Tabu Search Models with Empirical Verification of Clustering Using the Second Stage(Type IV) Cross-Efficiency Matrix Clustering Model (인공신경망모형(다층퍼셉트론, 방사형기저함수), 사회연결망모형, 타부서치모형을 이용한 컨테이너항만의 클러스터링 측정 및 2단계(Type IV) 교차효율성 메트릭스 군집모형을 이용한 실증적 검증에 관한 연구)

  • Park, Ro-Kyung
    • Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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    • v.9 no.6
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    • pp.757-772
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    • 2019
  • The purpose of this paper is to measure the clustering change and analyze empirical results, and choose the clustering ports for Busan, Incheon, and Gwangyang ports by using Artificial Neural Network, Social Network, and Tabu Search models on 38 Asian container ports over the period 2007-2016. The models consider number of cranes, depth, birth length, and total area as inputs and container throughput as output. Followings are the main empirical results. First, the variables ranking order which affects the clustering according to artificial neural network are TEU, birth length, depth, total area, and number of cranes. Second, social network analysis shows the same clustering in the benevolent and aggressive models. Third, the efficiency of domestic ports are worsened after clustering using social network analysis and tabu search models. Forth, social network and tabu search models can increase the efficiency by 37% compared to that of the general CCR model. Fifth, according to the social network analysis and tabu search models, 3 Korean ports could be clustered with Asian ports like Busan Port(Kobe, Osaka, Port Klang, Tanjung Pelepas, and Manila), Incheon Port(Shahid Rajaee, and Gwangyang), and Gwangyang Port(Aqaba, Port Sulatan Qaboos, Dammam, Khor Fakkan, and Incheon). Korean seaport authority should introduce port improvement plans by using the methods used in this paper.

Estimation of Environmental Performance in 29 Chinese Provinces - Focused on Integrated Pollution Intensity - (중국 29개 성의 환경성과 평가 - 통합오염원 단위를 중심으로 -)

  • Kim, Kwang-Uk;Piao, Huilan-Lan;Kang, Sang-Mok
    • Journal of Environmental Policy
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    • v.10 no.1
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    • pp.71-91
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    • 2011
  • The purpose of this paper is to estimate the environmental performance of 29 Chinese provinces by adopting the advanced measurements, integrated pollution intensity index, IPI, which can be computed using Data Envelopment Analysis(DEA) techniques. This index has the advantage of accounting for multiple resources used, good outputs produced and pollutants emitted simultaneously. The result obtained using the methodology shows the obvious evidence that provinces located around eastern area of China take relatively low levels and these phenomenons have been clearly observed throughout the sample period 1998~2007. The estimated index can be interpreted that the environmental burden in China has been steadily decreased as economic growth. This paper also tries to figure out the relationship among IPI, income levels, economic structures, the level of environmental regulations and FDI inflow. The estimated relationship between IPI and income per capita predicts improving environmental performance with increasing income levels. This explains the improvement in IPI which is simultaneously observed with income increases. According to the 'pollution haven hypothesis', many researches have been concerned the possibility that a large amount of foreign capital has been invested in China to avoid the strict environmental standards in advanced countries. However, the estimated coefficients in all model specifications take negative sign with IPI and highly statistical significant. This is a indication that there are positive impacts of foreign investments on IPI by adopting clean and high technologies from advanced countries.

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