The event recording devices such as EDR and DTG have recently been developed and installed in automobiles. The reliability of EDR application is being conducted in many previous studies, but with the development and development of autonomous vehicles, it is necessary to study the reliability of EDR and DTG application results for programs that can analyze autonomous driving. Therefore, in this study, the analysis was carried out in a way to secure the reliability of the application results of EDR and DTG of Carmaker, which can analyze the traffic accident analysis program PC-Crash and autonomous driving, and secure the reliability of the Carmaker program that applied EDR in Korea and abroad. As a result of the analysis, it was found that the speed error rate gradually increased from high speed to low speed, and the maximum error speed was less than 5 km/h through the average error rate for each speed. In the future, it is thought that it can be usefully used for analysis of traffic accidents in the event of autonomous vehicle accidents.

기존의 키워드 기반 검색방식의 한계를 개선하기 위해 최근에 의미, 개념 기반 검색인 시맨틱 웹이 등장하였고, 이러한 시멘틱 웹의 발전과 더불어 이를 표현하기 위한 도구로써 Ontology 언어도 발전하고 있다. 이러한 기술의 발전에 힘입어 우리나라에서는 인문지리정보 포탈 시스템 구축사업이 Semantic Web, Ontology기술을 활용하여 활발히 진행되고 있다. 그러나 인문지리정보 통합 DB 및 온톨로지 KB 구축과정에 있어서 각 단계별 검증방안이 제시되고 있지 않으며, 2011년에 인문지리정보 분류체계의 검증 기준에 대한 연구를 하였지만, 추상적이고 실제로 통합 DB 및 온톨로지 KB 구축과정에 적용하기에는 어려운 문제점이 있다. 따라서 본 연구에서는 정보시스템 및 GIS 분야의 감리 방법론을 토대로 검증 방향을 설정하고, 통합 DB 및 온톨로지 KB의 구축과정의 특수성을 반영하여 각 단계별 정량적이고 객관적인 검증 방안을 제안한다.

본 연구의 목적은 현재 국내에서 적용되고 있는 동결지수와 동결깊이 산정의 타당성을 검증하는 것이다. 이에 국내에서 운영되고 있는 LTPP-SPS(Long Term Pavement Performance- Specific Pavement Study)구간의 대기온도와 포장체 깊이별 온도 데이터를 이용하여 동결지수와 동결깊이를 산정하였으며, 기존 계산식을 이용하여 산출된 동결깊이와 비교 분석하였다. 또한 이 구간들의 인근 측후소 데이터를 이용하여 연도별 동결지수 추이를 분석하였다. 본 연구 결과, 지구온난화에 의해 1987년 이후에는 동결지수가 급격히 감소하였으며, 현재 도로설계 시 적용되고 있는 동결지수가 과하게 적용되고 있음을 알 수 있었다. 이에 동결지수 산정 시 현행 30년 데이터를 토대로 산정하기보다 기후가 변화된 시점부터 현재까지의 추이를 분석하는 것이 바람직 할 것으로 사료된다. 또한 LTPP-SPS 구간에서 측정된 포장체 깊이별 온도데이터를 분석한 결과, 동상방지층이 설계되어 있는 3개구간에서 대체적으로 보조기층까지만 동결이 발생하는 것으로 나타나, 동상방지층이 제 역할을 수행하지 못하는 것으로 나타났다. 실제 측정된 동결깊이와 계산식을 통해 산정된 동결깊이를 비교한 결과, 노상동결관입허용법을 이용한 설계방법이 실제 측정된 동결깊이와 가장 유사한 경향을 나타내었다.

Currently food-borne disease is being increased at outdoor food services including hotels and restaurants. Speedy and convenient practical monitoring techniques to determine hygienic conditions are needed. This study was designed to verify correlation of direct ATP (Adenosine Tri-Phosphate) examination method using ATP bioluminescence and surveillance with check-list by inspector. Hygienic status of personal hygiene (hands), kitchen utensils (knives, chopping boards, kitchen towels, cap openers, food storage containers, and blade of slice machines), facilities and equipments (refrigerator handles, worktables, and sinks) in five major hotels in Seoul were examined. The result of personal hygiene of hotels was relatively better than other inspection items (46.6 points in personal hygiene, 40.2 points in kitchen utensils, 40.3 points in facilities & equipments). In ATP inspection, kitchen utensils and facilities & equipments were relatively clean comparing with personal hands data (40.8 ± 6.77 RLU/cm²). After correlation analysis of surveillance in hygienic status points and ATP value, all results showed negative and high correlation. The surveillance data and ATP results investigating personal hygiene, kitchen utensils and facilities & equipments were highly correlated. The ATP examination method which shows real-time identification could be considered as an appropriate method to alternate current check-list dependent safety management in food services including hotels.

The Optical Wide-field patroL-Network (OWL-Net) is a global optical network for Space Situational Awareness in Korea. The primary operational goal of the OWL-Net is to track Low Earth Orbit (LEO) satellites operated by Korea and to monitor the Geostationary Earth Orbit (GEO) region near the Korean peninsula. To obtain dense measurements on LEO tracking, the chopper system was adopted in the OWL-Net’s back-end system. Dozens of angle-only measurements can be obtained for a single shot with the observation mode for LEO tracking. In previous work, the reduction process of the LEO tracking data was presented, along with the mechanical specification of the back-end system of the OWL-Net. In this research, we describe an integrity assessment method of time-position matching and verification of results from real observations of LEO satellites. The change rate of the angle of each streak in the shot was checked to assess the results of the matching process. The time error due to the chopper rotation motion was corrected after re-matching of time and position. The corrected measurements were compared with the simulated observation data, which were taken from the Consolidated Prediction File from the International Laser Ranging Service. The comparison results are presented in the In-track and Cross-track frame.

Concrete has recently been modified to have various performance and properties. However, the conventional method for predicting the compressive strength of concrete has been suggested by considering only a few influential factors. so, In this study, nine influential factors (W/B ratio, Water, Cement, Aggregate(Coarse, Fine), Fly ash, Blast furnace slag, Curing temperature, and humidity) of papers opened for 10 years were collected at 4 conferences in order to know the various correlations among data and the tendency of data. The selected mixture and compressive strength data were used for learning the Deep Learning Algorithm to derive a prediction model. The purpose of this study is to suggest a method of constructing a prediction model that predicts the compression strength with high accuracy based on Deep Learning Algorithms.

The purpose of this research is to understand the change of runoff characteristics by estimated spatial rainfall. Therefore, this paper largely composed of two parts. First, we compared the simulated result according to estimation method, ID(Inverse Distance Method, ID2(Inverse Square Distance Method), and Kr(General Covariance Kriging Method), after letting miss rainfall data to the observed data. Second, we reviewed the runoff characteristics of the distributed runoff model according to the estimated spatial rainfall. On the basis of Yuseong water level station, we select the target basin as Gabchun watershed. We assumed 1 point or 2 point of the 6 rainfall gauge stations in watershed were missed. We applied the spatial rainfall distributed by Kr to Hy-GIS GRM, distributed runoff model. When 1 point rainfall data is missed, Kr is superior to others in point rainfall estimation and runoff estimation of Hy-GIS GRM. However, in case rainfall data of 2 points is missed, all of three methods did not give suitable result for them. In conclusion, Kr showed better applicability than other estimated methods if rainfall’s data less than 2 points is missed.

Quality control of Argo(Array for Real-time Geostrophic Oceanography) data is crucial by reason that salinity measurements are liable to experience some drift and offset due to biofouling, contamination of sensor and wash-out of biocide. The automated Argo real-time quality control has a limit of sorting data quality, so that WJO program is adopted as standardized method of Argo delayed mode quality control (DMQC) in the world that is a precise quality control method. We conducted DMQC on pressure, temperature and salinity measured by Argo floats in the Pacific Ocean including expert evaluation. Particularly, salinity data were corrected using WJO program. 4 salinity profiles of Argo delayed mode were compared with nearby in situ CTD data and other Argo data in deep layer where oceanographic conditions are stable in time and space. The differences of both salinities were lower than target accuracy of Argo. As compared with the difference of salinities before DMQC, those after DMQC decreased by 60-80 percent. Quality of delayed mode salinity data seemed to be improved correcting salinity data suggested by WJO program.