• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2011.10a
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• pp.307-310
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• 2011

본 논문은 공공자격 온라인 처리시스템의 예외사항 및 오류처리에 대한 관리 효율성을 극대화하기 위한 연구로 다양한 이론에 근거한 IT 거버넌스 체계를 적용하여 실제 운영시스템에 적용한다. IT거버넌스에 기반 한 예외사항 및 오류처리에 관하여 공공자격 온라인 처리시스템의 개발 전략과 목표를 기준으로 구축, 운영, 지원, 모니터링 등에 대하여 각각의 처리모듈에서 발생 가능한 예외사항과 오류처리에 대하여 시스템 관리자와 함께 일반 행정처리 중심의 사용자를 바탕으로 한 처리 지침의 세부적 사항을 기술적으로 적용하는 개발 방법론을 도입한다. 개발자와 관리자 및 행정사용자가 중심체계가 되는 방법론을 적용하여 예외사항 및 오류처리에 대한 지침서를 모델링하는 본 논문은 공공자격처리시스템 프로젝트를 일반 및 실무분야에 대한 2개의 대규모 개발 시스템으로 분류하고 세부사항을 도출하고 운영책임 관리자와 일반 행정처리 사용자에게 적용하여 결과를 평가한다. 국가정보화 IT거버넌스 혁신을 통하여 8가지 영역의 표준 지침서 제작의 필요성이 대두되어지는 관점에서 본 연구가 국가가 시행하는 공공자격 처리시스템의 특수 분야에서 확장되어진 기술적 공유를 추구할 수 있다.

• Journal of Korea Port Economic Association
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• v.22 no.3
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• pp.43-57
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• 2006

Responsiveness to the uncertainty of SCM system shows its competitiveness. In order to secure SCM competitiveness, RFID-related projects aim to enhance both system visibility and process automation. Nowadays, we conduct RFID technology-oriented researches very actively; however, quantitative ROI analysis model from the perspective of SCM does not exist yet, which helps decide the introduction of technology. Therefore, our study suggests a ROI analysis model for the adoption of RFID technology, and we demonstrate its usefulness using the real world data that is taken from one of the government-funded RFID projects in Korea.

• Convergence Security Journal
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• v.10 no.1
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• pp.41-48
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• 2010

Greedy protocols show good performance in Vehicular Ad-hoc Networks (VANETs) environment in general. But they make longer routes causing by surroundings or turn out routing failures in some cases when there are many traffic signals which generate empty streets temporary, or there is no merge roads after a road divide into two roads. When a node selects the next node simply using the distance to the destination node, the longer route is made by traditional greedy protocols in some cases and sometimes the route ends up routing failure. Most of traditional greedy protocols just take into account the distance to the destination to select a next node. Each node needs to consider not only the distance to the destination node but also the direction to the destination while routing a packet because of geographical environment. The proposed routing scheme considers both of the distance and the direction for forwarding packets to make a stable route. And the protocol can configure as the surrounding environment. We evaluate the performance of the protocol using two mobility models and network simulations. Most of network performances are improved rather than in compared with traditional greedy protocols.

• Composites Research
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• v.21 no.5
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• pp.15-22
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• 2008

This paper describes the results of structural integrity and crashworthiness of Automatic Guideway Transit(AGT) vehicle made of sandwich composites. The applied sandwich composite of vehicle structure was composed of aluminum honeycomb core and WR580/NF4000 glass fabric/epoxy laminate composite facesheet. Material testing was conducted to determine the input parameters for the composite facesheet model, and the effective equivalent damage model fer the orthotropic honeycomb core material. The finite element analysis using ANSYS v11.0 was dont to evaluate structural integrity of AGT vehicle according to JIS E 7105 and ASCE 21-98. Crashworthiness analysis was carried out using explicit finite element code LS-DYNA3D with the lapse of time. The crash condition was frontal accident with speed of 10km/h at rigid wall. The results showed that the structural integrity and crashworthiness of AGT vehicle were proven under the specified loading and crash conditions. Also, the modified Chang-Chang failure criterion was recommended to evaluate the failure modes of composite structures after crashworthiness event.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.05a
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• pp.232-234
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• 2022

Big data is widely used in customer relationship management, relationship marketing, financial business improvement, credit information and risk management. Moreover, as non-face-to-face financial transactions have become more active recently due to the COVID-19 virus, the use of financial big data is more demanded in terms of relationships with customers. In terms of customer relationship, financial big data has arrived at a time that requires an emotional rather than a technical approach. In relational marketing, it was necessary to emphasize the emotional aspect rather than the cognitive, rational, and rational aspects. Existing traditional financial data was collected and utilized through text-type customer transaction data, corporate financial information, and questionnaires. In this study, the customer's emotional image data, that is, atypical data based on the customer's cultural and leisure activities, is acquired through SNS and the customer's activity image is analyzed with an artificial intelligence CNN algorithm. Activity analysis is again applied to the annotated AI, and the AI big data model is designed to analyze the behavior model shown in the annotation.

• 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.

• 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.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.6 no.5
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• pp.367-377
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• 2016

The purpose of the projects for strengthening the Service Business Competitiveness, which had been sponsored by the Ministry of Trade, Industry and Energy, and managed by the NIPA, is to support for combining the whole business process of the SMEs with the business model considering the scientific aspects of the services, to enhance the productivity of them and to add the values of their activities. 5 organizations are selected in 2014, and 4 in 2015 as leading organizations for these projects. This study analyzed the efficiency of these projects using DEA. Throughout the analysis of the prior researches, this study used the amount of government-sponsored money as the input variable, and the number of new customer business, the sales revenue, and the number of new employment as the output variables. And the result of this analysis showed that the decision making unit 12, 15, and 21 was efficient. And from this study, we found out two more performance indicators such as, the number of new employment and the amount of sales revenue, besides the number of new customer businesses.

• Journal of the Korea Society of Computer and Information
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• v.25 no.9
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• pp.37-44
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• 2020

AI technology has developed in the form of decision support technology in law, patent, finance and national defense and is applied to disease diagnosis and legal judgment. To search real-time information with Deep Learning, Big data Analysis and Deep Learning Algorithm are required. In this paper, we try to predict the entrance rate to high-ranking universities using a Deep Learning model, RNN(Recurrent Neural Network). First, we analyzed the current status of private academies in administrative districts and the number of students by age in administrative districts, and established a socially accepted hypothesis that students residing in areas with a high educational fever have a high rate of enrollment in high-ranking universities. This is to verify based on the data analyzed using the predicted hypothesis and the government's public data. The predictive model uses data from 2015 to 2017 to learn to predict the top enrollment rate, and the trained model predicts the top enrollment rate in 2018. A prediction experiment was performed using RNN, a Deep Learning model, for the high-ranking enrollment rate in the special education zone. In this paper, we define the correlation between the high-ranking enrollment rate by analyzing the household income and the participation rate of private education about the current status of private institutes in regions with high education fever and the effect on the number of students by age.

• 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.