• Title/Summary/Keyword: DEA Model

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A Study on the Scale Optimization of the Korean-type Aircraft Carrier based on Efficiency Considering National Competency (국가 역량을 고려한 효율성 기반 한국형 항공모함 규모 최적화 연구)

  • Jung, Byungki;Kim, Kitae;Park, Sungje
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.45 no.3
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    • pp.49-56
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    • 2022
  • ROK Navy intends to secure the Korean-type aircraft carrier in order to effectively prepare for various future security threats. In general, the Korean national competency is considered to be at the level of having an aircraft carrier, but it is unclear what scale aircraft carrier would be appropriate. In this study, the efficiency was evaluated through the relative comparison between national competency(national power, economic power) and the scale of aircraft carriers, and the optimal scale of the Korean-type aircraft carrier that could be acquired was presented. A DEA(Data Envelopment Analysis) model was applied to aircraft carriers(19 aircraft carriers in 11 countries) currently in operation and scheduled to be possessed in the world. As input variables, CINC(Composite Index of National Capability) and GDP(Gross Domestic Product), which are the most widely used as indicators of national and economic power, and as output variables, the full-load displacement, length, and width of aircraft carriers were selected. ARIMA(short-term within 5 years) and simple regression(long-term over 5 years) were used to estimate the future national competency of each country at the time of aircraft carriers acquisition. The relative efficiency score of the Korean-type aircraft carrier currently being evaluated is 1.062, and it was evaluated as small-scale aircraft carrier compared to the national competency. Based on Korean national competency, the optimal scale of the Korean-type aircraft carrier calculated by aggregating benchmark groups, is 58,308.1 tons of full-load displacement, 279.4m in length, and 68.3m in width.

Artificial intelligence application UX/UI study for language learning of children with articulation disorder (조음장애 아동의 언어학습을 위한 인공지능 애플리케이션 UX/UI 연구)

  • Yang, Eun-mi;Park, Dea-woo
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2022.05a
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    • pp.174-176
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    • 2022
  • In this paper, we present a mobile application for 'personalized customized learning' for children with articulation disorders using an artificial intelligence (AI) algorithm. A dataset (Data Set) to analyze, judge, and predict the learner's articulation situation and degree. In particular, we designed a prototype model by looking at how AI can be improved and advanced compared to existing applications from the UX/UI (GUI) aspect. So far, the focus has been on visual experience, but now it is an important time to process data and provide a UX/UI (GUI) experience to users. The UX/UI (GUI) of the proposed mobile application was to be provided according to the learner's articulation level and situation by using CRNN (Convolution Recurrent Neural Network) of DeepLearning and Auto Encoder GPT-3 (Generative Pretrained Transformer). The use of artificial intelligence algorithms will provide a learning environment with a high degree of perfection to children with articulation disorders, thereby enhancing the learning effect. I hope that you do not have any fear or discomfort in conversation by improving the perfection of articulation with 'personalized and customized learning'.

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A Study of Curriculum on Vocational High School under Analysis e-Business Demand Education (e-Business Demand Education 분석에 따른 전문계고 Curriculum 연구)

  • An, Jae-Min;Park, Dea-Woo
    • Journal of the Korea Society of Computer and Information
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    • v.14 no.8
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    • pp.73-80
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    • 2009
  • It is difficult that expertise human supply and demand for industry requires by imbalance of industry necessity human and profession organs of education's Skill Mismatch. Industry can prove productivity though reeducate school graduation person in spot and master correct technology in industry special quality. This paper is research that accommodate Demand Education that industry requires and make out full text caution Curriculum Specializing Vocational High School in e-Business field. Analysis e-Business industrial classification and occupational classification. Analysis knowledge and technological level that require in industry about e-Business education and investigate and analyze the demand. Base industry, Support industry, Apply e-Business Curriculum that is examined by practical use industry to learning, Do to estimate satisfaction about Demand Education Curriculum of industry and confirm Success special quality with research and investigation and application wave. Suggested for e-Business Curriculum's basis model in this paper and school subject Curriculum. Wish to contribute in nation development through productivity elevation through e-Business education of industry request.

Video Automatic Editing Method and System based on Machine Learning (머신러닝 기반의 영상 자동 편집 방법 및 시스템)

  • Lee, Seung-Hwan;Park, Dea-woo
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2022.05a
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    • pp.235-237
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    • 2022
  • Video content is divided into long-form video content and short-form video content according to the length. Long form video content is created with a length of 15 minutes or longer, and all frames of the captured video are included without editing. Short-form video content can be edited to a shorter length from 1 minute to 15 minutes, and only some frames from the frames of the captured video. Due to the recent growth of the single-person broadcasting market, the demand for short-form video content to increase viewers is increasing. Therefore, there is a need for research on content editing technology for editing and generating short-form video content. This study studies the technology to create short-form videos of main scenes by capturing images, voices, and motions. Short-form videos of key scenes use a pre-trained highlight extraction model through machine learning. An automatic video editing system and method for automatically generating a highlight video is a core technology of short-form video content. Machine learning-based automatic video editing method and system research will contribute to competitive content activities by reducing the effort and cost and time invested by single creators for video editing

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A Study on Design of NDSL Linked Service Model by Analysis of Genbank (Genbank 분석을 통한 NDSL 연계 서비스 모형 설계 연구)

  • Bu-Young Ahn;Jung-Hun Lee;Dea-Hwan Kim;Yong-Ju Shin;Seon-Heui Choi;Jin-Seob Shin
    • Proceedings of the Korea Information Processing Society Conference
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    • 2008.11a
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    • pp.603-606
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    • 2008
  • 최근 들어 분자생물학의 급속한 발전과 2001년 인간유전체사업의 완료로 인해 전세계적으로 엄청난 양의 유전정보가 공개되었다. 유전자 서열정보는 그 양이 방대하고 다양하기에 데이터베이스 구축 및 분석을 위하여 고성능 컴퓨터 및 정보기술 기법이 필요하다. 그래서 컴퓨터를 활용하여 생물학적 데이터를 수집, 관리, 저장, 평가, 분석하는 연구분야인 생명정보학(바이오인포매틱스)이라는 학문이 지속적으로 발전하고 있다. 이런 생명정보학 발전에 발맞추어 한국과학기술정보연구원(KISTI)에서는 정보기술을 기반으로 한 생명정보 인프라를 구축하여 생명과학 연구자들에게 제공하고 있다. 본 논문에서는 생명정보 데이터베이스중에서 연구자들이 가장 많이 이용하는 유전자 데이터베이스인 Genbank를 활용 및 분석하여 KISTI에서 운영하는 학술논문 제공 사이트인 NDSL(http://scholar.ndsl.kr)과 연계 가능한 서비스 모델을 개발하기 위하여 1) NCBI FTP 사이트에서 Genbank 데이터를 수집하고, 2) Genbank 텍스트 파일을 유전자 기본정보와 참고 데이터베이스로 재구축하며, 3) Genbank refrence 필드에서 논문 및 특허 정보 추출을 통한 새로운 테이블을 생성하여 NDSL과 연계 가능한 서비스 모델을 제안하였다.

Application of Environmental Management System Model for the Local Food Industry and the Analysis (로컬푸드산업의 환경경영시스템 모델 적용 분석)

  • Cho, Chang-Duk;Park, Dea-Woo
    • Asia-Pacific Journal of Business Venturing and Entrepreneurship
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    • v.11 no.2
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    • pp.233-247
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    • 2016
  • Local food industry has been spreading all over the world. Korea is also actively applying and developing local food industry. However, relatively high distribution cost in Korean agricultural market is hindering its further growth. Distribution cost has close relation with shipping distance. Raised distribution cost brings major impacts not only on quality and price of products but also on greenhouse gas(carbon dioxide) emissions. Therefore, it is necessary to find a solution for inefficient distribution system of the local food industry to reduce overall cost and greenhouse gas. In this study, we present a location selection model for local food regional center using Analytic Hierarchy Process. The location of local food regional hub center is decided based on expert opinions on five factors: accessibility, quality, population, size of area, and shipping distance. The relative importance of the five factors has been concluded as follows: quality (0.430) ${\gg}$ population (0.262) ${\gg}$ travel distance (0.201) ${\gg}$ accessibility (0.075) ${\gg}$ and area (0.033). We apply and analyze the environmental management system model for Local food industry to develop the regional hub center site selection criteria and to analyze the effects of greenhouse gas emissions in the local food industry. This study, by applying and analyzing the environmental management system of the local food industry, is believed to be a valuable asset for managing greenhouse gas emission in the local food industry. Also, the data will be used for the autonomous local food industry's direct sales stall management. Eventually, this study will contribute so greatly to the local food industry's competitiveness that even large distribution companies will give way for the local food industry.

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Study on the Correlation between the Change in SAR and Temperature of the Human Head by use Dental Implant on 3.0T Brain MRI : Using the XFDTD program (3.0T Brain MRI 검사 시 치아임플란트 시술 유무와 인체의 SAR, 체온 변화와의 상관관계에 관한 연구 : XFDTD 프로그램을 이용)

  • Choe, Dea-yeon;Kim, Dong-Hyun
    • Journal of the Korean Society of Radiology
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    • v.11 no.3
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    • pp.139-146
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    • 2017
  • At the Brain MRI examination, RF Pulse are irradiated on the human head in order to acquire MR images. At this time, a considerable part of the irradiated RF Pulse energy is absorbed in our body and the temperature of the human head will rise depending on the degree of exposure, so it will affect the human head. Even if the same RF Pulse energy is given, if the metal is inserted in the human head, the conductivity of the human head is greatly increased by the metal, so the SAR value increases and the temperature also rises. Therefore, we started this research with the question as to whether there is difference between the change in SAR value and temperature displayed on the head of the human according to use or not of the dental implant. Experiments were using the XFDTD program on a 128 MHz RF Pulse frequency by a 3.0 tesla MRI. We can see that both are increasing that the average value of SAR and temperature that absorbed by the human head model used the dental implant. In addition, the average maximum SAR value and the maximum temperature rise in the brain part are shown below the international safety standard value but the influence can not be ignored because of the result may change according to the increase in the number of dental implant. And as future tasks. we need to the simulation of temperature rise and SAR due to an increase in the number of implants and volumes of teeth, dental implant material.

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.