• The Journal of Bigdata
• /
• v.2 no.2
• /
• pp.17-31
• /
• 2017

With the development of the big data environment, public institutions also have been providing big data infrastructures. Public data is one of the typical examples, and numerous applications using public data have been provided. One of the cases is related to the employment insurance. All employers have to make contracts for the employment insurance for all employees to protect the rights. However, there are abundant cases where employers avoid to buy insurances. To overcome these challenges, a data-driven approach is needed; however, there are lacks of methodologies to integrate, manage, and analyze the public data. In this paper, we propose a methodology to build a predictive model for identifying whether employers have made the contracts of employment insurance based on public data. The methodology includes collection, integration, pre-processing, analysis of data and generating prediction models based on process mining and data mining techniques. Also, we verify the methodology with case studies.

• Journal of the Korean Society for Library and Information Science
• /
• v.49 no.1
• /
• pp.379-403
• /
• 2015

Name Authority Control is useful not only to manage author information but also to gather other names of authors in order to provide access points in libraries and other institutes. The purpose of this study is to find problems through comparing and analyzing Literature Translation Institute of Korea Author Database, Korean name authority records of national libraries in the U. S., Japan and Korea. The results of the study are as follows. First, Literature Translation Institute of Korea Author Database missed some useful information about Korean writers in translated books in other countries. Second, the name authority file of Library of Congress and National Diet Library did not include the variant names, dates of authors' birth and death date, and filled out incorrect variant names with some birth and death dates. Third, English and Chinese character variants of Korean authors were not found in the National Library of Korea. To solve these problems, revisions of Korean author database, open access to National Library of Korea name authority file, and a strong participation of VIAF were suggested.

• Journal of IKEEE
• /
• v.15 no.3
• /
• pp.198-204
• /
• 2011

In this letter, another analytical approach for the opportunistic amplify-and-forward (OAF) relay systems is proposed over Rayleigh fading channels. Based on set-operation at the selected relay node, its selection probability as the best relay is derived and then, the probability density function (PDF) of the received instantaneous signal-to-noise ratio (SNR) is expressed as a more tractable form in which the number of summations and the length of each summation are specified. Then, the average error rate, outage probability, and average channel capacity are obtained as approximated closed-forms. Simulation results are finally presented to validate that the proposed analytical expressions can be a unified frame work covering all Rayleigh fading channel conditions. Furthermore, it is confirmed that OAF schemes can outperform the other non-selective schemes on the average error rate, outage probability, and average channel capacity.

• Journal of Convergence for Information Technology
• /
• v.10 no.5
• /
• pp.111-116
• /
• 2020

Recently, many safety accidents involving children shuttle buses take place. Without a teacher for help, a safety accident occurs when the driver can't see a child who is getting off in the blind spot of both frontside and backside. A deep learning-based smart mirror allows user authentication and provides various services. Especially, It can be a role of helper for children, and prevent accidents that can occur when drivers or assistant teachers do not see them. User authentication is carried out with children's face registered in advance. Safety accidents can be prevented by an approximate sensor and a camera in frontside and backside of the bus. This study suggests a way of checking out whether children are missed in the process of getting in and out of the bus, designs a system that reduce blind spots in the front and back of the vehicle, and builds a safety system that provide various services using GPS.

• Journal of Internet Computing and Services
• /
• v.13 no.5
• /
• pp.21-31
• /
• 2012

Threat Evaluation(TE) which has air intelligence attained by identifying friend or foe evaluates the target's threat degree, so it provides information to Weapon Assignment(WA) step. Most of TE data are passed by sensor measured values, but existing techniques(fuzzy, bayesian network, and so on) have many weaknesses that erroneous linkages and missing data may fall into confusion in decision making. Therefore we need to efficient Threat Evaluation system that can refine various sensor data's linkages and calculate reliable threat values under unpredictable war situations. In this paper, we suggest new threat evaluation system based on information fusion JDL model, and it is principle that combine fuzzy which is favorable to refine ambiguous relationships with bayesian network useful to inference battled situation having insufficient evidence and to use learning algorithm. Finally, the system's performance by getting threat evaluation on an air defense scenario is presented.

• The Journal of the Institute of Internet, Broadcasting and Communication
• /
• v.16 no.1
• /
• pp.263-271
• /
• 2016

Software requirement analysis is necessary for successful software development project. Specially, incomplete requirement is the most influential causes of software project failure. Incomplete requirement can bring late delay and over budget because of the misunderstanding and ambiguous criteria for project validation. Software requirement patterns can help writing more complete requirement. These can be a reference model and standards when author writing or validating software requirement. Furthermore, when a novice writes the software scenario, the requirement patterns can be one of the guideline. In this paper proposes an automatic approach to identifying software scenario patterns from various software scenarios. In this paper, we gathered 83 scenarios from eight industrial systems, and show how to extract 54 scenario patterns and how to find omitted action of the scenario using extracted patterns for the feasibility of the approach.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.18 no.10
• /
• pp.756-760
• /
• 2017

Meeting the growing demand deadlines, reducing the production cost and upgrading the quality control measurements are the reasons why the automotive part manufacturers are venturing into automation. Attaining these objectives is impossible with human inspection for many reasons. Accordingly, the introduction of inspection system purposely for door hinge bracket inspection is presented in this study as an alternative for human inspection. This proposal is designed to meet the demands, features and specifications of door hinge bracket manufacturing companies in striving for increased throughput of better quality. To improve demerits of this manual operation, inspection system is introduced. As the inspection algorithm, template matching algorithm is applied to distinguish the articles of good quality and the poorly made articles. Through the verification test of the inspection process algorithm and the similarity metric matching algorithm, the detection accuracy was 98%, and it was applied to the production site to contribute to the improvement of the productivity due to the decrease of the defective product.

• Journal of the korean veterinary medical association
• /
• v.46 no.4
• /
• pp.342-362
• /
• 2010

최근 국내의 각종 공사장부근에서 일어나는 가축에 대한 환경분쟁(소음, 진동, 먼지 등)피해를 호소하는 농가가 지속적으로 늘고 있으나, 피해 농가의 피해를 입증할 수 있는 객관적인 자료가 부족한데 따라 보고서를 작성하는 데 여간 어려웠던 적이 한, 두번이 아님에 많은 아쉬움을 가졌다. 각종 공사로 인해 가축 사육 장소인 목장(농장)내 도로개설 및 관통으로 인한 목장의 지속여부, 겨울철 수렵시기에 총성으로 인한 한우 성장지연, 육질 저하 등에 미치는 영향, 태양광 발전소가 축사 인근에 있어 사육 한우가 성장지연 등의 피해를 호소하는 농가가 있으나, 이에 대한 관련 연구자들의 많은 연구가 이뤄졌으면 한다. 그런 가운데서 우리 임상수의사들의 관련 자료나 정보를 입수하여 보다 적극적으로 대처하여 피해 축산농가들에 대한 보상에 도움을 줘야 하나, 피해 목장내 사육가축의 진단서나 소견서등 발부요청에 미온적이거나 회피하는 경우들을 적잖게 목도를 하고 실망감을 감출 수가 없었다. 진단서 등의 각 항목의 기재 내용의 누락, 여러 마리를 한 장(1두 1매 원칙)에 작성한다거나 유 사 조산시 정확한 월(일)령의 비기재, 환경분쟁과 관련된 피해사실의 누락이나 전혀 무관한 병명으로 발급하는 경우 및 수의사법 등에서 승인된 양식을 이탈하여 임의로 작성하는 등의 예를 간혹 보아왔는 터라 개선이 시급하다 하겠다. 임상 수의사들이 발급하는 진단서나 소견서 등은 어디까지 관련 전문가나 법원 등의 감정시 어디까지나 참고용으로 활용되고, 발급에 따른 제 비용은 인정될 경우에는 피해농가들에게 되돌려주며, 절대적으로 피해를 주는 일이 없다는 것을 강조해두고 싶다. 따라서 필자는 환경분쟁사건을 현지조사내지는 보고서를 작성하면서 아직도 우리 임상 수의사들은 새로운 분야에 대한 능동적인 대처가 더더욱 요구되는 시기에 수동적이거나 미온적으로 대하는 사례에 안타까움을 호소하며, 환경분쟁시 가축에 미치는 영향과 최근 새로이 제시된 배상액의 산정기준을 소개하여 도움을 주고 싶다.

• Environmental and Resource Economics Review
• /
• v.26 no.4
• /
• pp.473-498
• /
• 2017

This study examines the effect of environmental regulation considering the endogeneity on the productivity of Korean manufacturing industry based on the Porter hypothesis using data from the Mining and Manufacturing Survey, Survey of Research and Development in Korea, and Environmental Statistics Portal from 2003 to 2013 with fixed effect model. In order to eliminate the bias of the missing variables that may occur in the existing studies, we analyze factors affecting productivity such as market competition, R&D investment as explanatory variables. And, in order to eliminate measurement error and inverse causality, we use instrumental variable approach. The main results are as follows. First, our findings that the environmental regulation improve the productivity of Korean manufacturing in the long-run support the Porter hypothesis. Second, our findings suggest that measurement error and reverse causality are main sources of the endogeneity, while omitted variable is not. Finally, environmental technology R&D has reduced productivity in the short-run.

• Proceedings of the Korea Water Resources Association Conference
• /
• 2015.05a
• /
• pp.518-518
• /
• 2015

이 연구에서는 ESRI사의 ArcGIS 프로그램을 이용하여, 한반도 남한지역 중 기후변화시나리오에 의한 강수량이 제공되지 않는 해안선지역에 대해 기후변화시나리오를 이용하여 장래 강수량을 생성할 수 있는 모형을 개발하였다. 기상청에서 제공하는 기후변화 시나리오에 의한 장래강수데이터의 경우 복잡한 해안선지역에 대해 장래 강수데이터를 제공하고 있지 않기 때문에 최근의 지형도를 적용하여 기상청에서 제공하지 않는 지역에 대해 보완격자를 생성하고, 공간보간 기법을 이용하여 이를 해결할 수 있다. 1km 격자단위의 강수데이터를 생성하기 위하여 GIS내에 여러 툴(tools)의 기능을 단계적으로 모형화하여 순서화된 작업을 자동적으로 수행할 수 있는 model builder를 사용하였다. 데이터 변환작업을 위한 전처리, 데이터 보간 추출 기능과 공간보간기법을 적용하여 기후변화 시나리오가 적용된 데이터누락지역에서의 장래 강수예측데이터를 생성할 수 있도록 하였다. 기상청에서 제공하는 RCP 8.5 시나리오를 이용하였고, 일부 해안선과 섬 지역에 대해 장래강수량을 생성할 수 있는 보간기법이 적용된 모형으로 한반도 남한지역 중 강수자료가 제공되지 않는 총 4,186개의 격자에 대해 적합한 공간보간기법을 선택하여, 일단위 및 월단위 강수자료를 생산할 수 있도록 하였다. 기상청에서 제공하는 강수데이터의 경우 'ASCII' 파일 형식으로 기후변화 데이터를 제공하기 때문에 사용자가 별도의 프로그램을 이용하여 강수예측자료를 얻어야 하는 문제가 있다. 강수예측자료를 텍스트파일 형태로 사용자가 원하는 좌표를 선택 한 후 데이터를 추출할 수 있도록 격자화하여 저장되도록 하였다.