• Journal of the Korean Geotechnical Society
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• v.33 no.9
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• pp.35-47
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• 2017

Recently, the 3D image of the geotechnical information has been constructed along with the 3D integrated underground space mapping project. Prior to the visualization of the 3D image of the geotechnical information, it is necessary to analyze and verify the accuracy of the geotechnical information. Previous studies evaluated the precision of collected geotechnical information DB to validate the quality of the collected DB and later studies on the 3D precision were performed to provide the basic data for the 3D integrated underground space map. In this study, practical application methodologies are suggested based on the previous studies to improve the accuracy of the applied geotechnical information and further to improve the reliability of the constructed 3D integrated underground space map.

• Proceedings of the Korea Water Resources Association Conference
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• 2019.05a
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• pp.334-334
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• 2019

기후변화에 능동적으로 대처하기 위해서는 기후변화에 따른 수자원가용량의 변화를 정량적으로 평가할 수 있어야 한다. 평가결과의 신뢰도를 높이기 위해서 기후변화 시나리오는 지역기후 및 유역특성에 적합한 결과를 포함하여야 한다. 또한, 기후변화가 유역의 물순환계에 미치는 영향이 있다면, 물순환 개선 기술을 통해 지속가능한 유역 물환경을 구축하는 것이 필요하다. 유역 물순환 개선 기술은 기후변화가 진행 중에 있거나 예상되는 지역에 대하여 강우로부터 발생되는 유출을 지연, 저류, 침투시켜 지속가능한 물순환 체계를 유지하고 회복하도록 하는 기법이라 할 수 있다. 한국건설기술연구원에서는 기후변화에 따른 영향을 평가하고 적응 대책을 수립하기 위한 실무적인 유역 물순환 개선 및 평가 모형인 CAT3(Catchment hydrologic cycle Assessment Tool 3)을 개발하였으며 본 모형은 침투시설, 저류시설, 습지, 빗물저장시설과 같은 물순환 개선시설에 대한 효과를 정량적으로 평가할 수 있다. 본 연구에서는 팔당댐 상류의 경안천 유역을 대상으로 APCC 기후변화 시나리오 통계적 상세화 자료를 활용하여 물순환 개선 기술의 적용성을 평가하였다. 통계적 상세화 자료는 APCC에서 개발된 AIMS(APCC Integrated Modeling Solution) 플랫폼을 이용하였다. AIMS는 다양한 기후정보를 기반으로 사용자 관점에서 상세화를 수행할 수 있는 장점이 있다. 상세화 기법은 SDQDM(Spatial Disaggregation Quantile Delta Mapping) 방법을 이용하였다. 상세화된 기후자료는 과거자료의 재현성 및 미래 기간에 대한 왜곡도를 평가하기 위해 극한기후지수(Climate Index)를 이용하는데 본 연구에서는 장기간에 걸친 수자원가용량의 평가 및 예측을 위해 연강수량(PRCPTOT)을 사용하였으며 증발산량의 평가 및 예측에 영향을 미치는 온도 관련 극한기후지수는 평균기온 개념의 DTR(TMAX&TMIN)을 이용하였다. 통계적 상세화 과정을 통해 최종적으로 HadGEM2-CC, INMCM4, CanESM2 시나리오를 선택하였으며 각 시나리오별 물순환 개선 기술을 적용한 후 미래의 수문학적 변동성을 평가하였다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2009.10a
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• pp.143-146
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• 2009

The restaurants have been forced to inform the origin of ingredients to consumers due to the origin obligation policy enacted in 2008 October. However, it is difficult to trust the policy because the origin is represented by a manager's conscience. Therefore, in order to provide consumers with reliable information, we have designed, and embodied the agricultural management system using RFID and USN technology. By installing system on agricultural plantations this system not only manages environmental data such as temperature, illumination and humidity collected in real time but also offers consumers the information of fertilizers or pesticides sprayed on the crops. Before purchasing, consumers will be able to check raw flesh process and the fertilizer and agricultural chemical scattering scene of the crops as an image by using RFID tags with a leader, which more increase the reliability.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2009.05a
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• pp.313-316
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• 2009

A novel approach for electrocardiogram (ECG) analysis within a functional sensor node has been developed and evaluated. The main aim is to reduce data collision, traffic over loads and power consumption in healthcare applications of wireless sensor networks (WSN). The sensor node attached on the patient's bodysurface around the heart can perform ECG analysis based on a QRS detection algorithm to detect abnormal condition of the patient. Data transfer is activated only after detected abnormality in the ECG. This system can reduce packet loss during transmission by reducing traffic overload. In addition, it saves power supply energy leading to more reliable, cheap and user-friendly operation in the WSN based ubiquitous health monitoring.

• Journal of Convergence for Information Technology
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• v.11 no.9
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• pp.138-144
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• 2021

In the electronic component assembly business, when product defects occur, it is important to track incoming raw material defects or work defects, and it is important to improve suppliers or work sites according to the results. The core task of the smart factory is to build an integrated data hub to process storage, management, and analysis in real time, and to manage cluster processes, energy, environment, and safety. In order to improve reliability through accurate analysis and collection of production data by real-time monitoring of production site management for electronic parts-related small and medium-sized enterprises (SMEs), the establishment of a smart factory is essential. This paper was developed to be utilized in the construction by defining the system configuration method, smart factory-related technology and application cases, considering the characteristics of SMEs related to electronic components that want to introduce a smart factory.

• Journal of Convergence for Information Technology
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• v.8 no.6
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• pp.173-186
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• 2018

While cloud services are expanding, many users are having difficulty in adopting cloud services. This is because there is no information as to which cloud services can be trusted by users. loud service level agreement (Cloud SLA) is an agreement between cloud service providers and cloud service consumers using qualitative and quantitative indicators including quality and performance, etc. of cloud services. In this study, we propose a framework for cloud SLA that can be applied to the domestic cloud industry to improve service levels for cloud service providers and to protect users and also derive the detailed components of cloud SLA applicable to the domestic cloud industry using the proposed framework. Through this result, it is expected that the government will utilize the policy to enhance the reliability between cloud service providers and users under "the Act on the Development of Cloud Computing and Protection of Users", and eventually to activate cloud services by improving the quality and performance level of domestic cloud services and building a user trust.

• Journal of the Korean Society of Propulsion Engineers
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• v.23 no.4
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• pp.42-49
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• 2019

This paper presents a method to predict the storage reliability of springs for turbo engine components based on an accelerated degradation test. The reliability assessment procedure for springs is established to proceed with the accelerated degradation test. The spring constant is selected as the performance degradation characteristic, the temperature is determined to be the stress factor that deteriorates the spring constant. The storage tests are performed at three temperature test conditions. The spring constant is measured periodically to check the degradation status of the springs. Failure times of the springs are predicted by using the degradation model. Finally, the storage lifetime of the springs at normal use conditions is predicted using an accelerated model and failure times of all test conditions.

• Proceedings of the Korea Water Resources Association Conference
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• 2017.05a
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• pp.20-20
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• 2017

최근 기후변화 영향에 따라 전 세계적으로 인명피해 및 재산피해를 유발하는 자연재난이 지속적으로 증가하고 있으며, 그로 인한 자연재해의 규모가 점점 더 커지고 있다. 실제로 우리나라에서도 지난 1994 년에서 2013 년까지 지난 20 년간 자연재해에 의한 피해액은 12조 3천억 원으로 집계되었으며, 이 중 강우와 태풍에 의한 피해가 85 % 이고, 대설에 의한 피해는 약 13 % 로 자연재해 중 대부분의 피해는 강우 및 태풍에서 발생하지만, 폭설에 의한 피해도 적지 않은 것으로 나타났다. 이에 따라, 정확한 예측을 위해 신뢰도 높은 자료 구축을 통한 대설피해 예측에 관한 연구가 필요한 시점이다. 본 연구에서는 대설피해액 예측을 위해 우리나라의 63개 기상 관측소에서 관측한 적설심 자료 및 기상관측 자료와 사회 경제 자료 총 11개를 대설피해 예측을 위한 입력변수로 선정하고, 이를 기상관측소가 속한 도시의 면적에 따라 3개의 지역으로 구분하였다. 주성분분석을 활용하여 선정된 입력변수들을 4개의 주성분으로 구분하고, 인공신경망 및 다중선형 회귀 모형을 구성하여 각 지역별 대설피해 예측의 오차를 분석하였다. 적용결과, 인공신경망 모형을 이용한 대설피해 예측의 수정결정계수는 22.8 %~48.2 %를 나타냈고, 다중선형회귀 모형의 수정결정 계수는 9.2 %~39.7% 로 나타났다. 그러므로 인공신경망 모형이 다중회귀 모형보다 선택된 입력자료를 활용하여 대설피해를 예측하는 목적으로 조금 더 우수한 결과를 나타내었다. 향후 자료를 보완 및 모형의 고도화를 통해 보다 정확한 대설피해 예측 함수 개발이 가능할 것으로 기대된다.

• Journal of Convergence for Information Technology
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• v.12 no.1
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• pp.153-162
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• 2022

In this study, the relationship between service quality and visit intention of unmanned cosmetics stores was investigated and whether there was a moderating effect of familiarity. To this end, a total of 190 questionnaires were collected and the main results of frequency analysis, exploratory factor analysis, reliability analysis, and correlation analysis using the statistical package SPSS 26.0 are summarized as follows. First, it was found that usefulness, ease, and playfulness, which are components of service quality in unmanned cosmetics stores, had a significant effect on the intention to visit. Second, familiarity was also found to have a significant effect on visit intention, and was found to have the greatest influence on visit intention. Third, as a result of examining the moderating effect of familiarity on the relationship between service quality and visit intention of unmanned cosmetics stores, usefulness, ease, and playfulness were all statistically insignificant, indicating that there was no moderating effect of familiarity. As a result of the above, in order to increase the familiarity, which has the greatest influence on the intention to visit, marketing should be presented emphasizing the promotion or advertisement of unmanned cosmetics stores.

• Journal of Convergence for Information Technology
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• v.11 no.8
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• pp.194-200
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• 2021

The beauty industry continued to develop despite the difficult social environment, and in the process, small-scale beauty businesses grew rapidly into large-scale beauty franchises. Therefore, this study was conducted because it was considered that various internal marketing is necessary for workers in the beauty industry. In order to find out what kind of internal marketing has a great effect on job immersion for workers, from February 1, 2021 to March 2021 By the 31st, 220copies out of 250 questionnaires were collected and frequency analysis, reliability analysis, factor analysis, correlation analysis, and multiple regression analysis were performed with spss 22.0. Satisfying internal marketing was a reward system and it was found that it had the greatest influence on job commitment. Therefore, it is considered that the actual internal marketing that workers want should be planned.