This study analyzed the quality characteristics of black garlic made from Seosan Yukjok Garlic and elephant garlic in Seosan, Chungnam province. Of the inorganic components, Mg content was the highest in all treatment groups, and the Ca content was high in each of the 15 day treatments. The content of K was high after 10 days aging in Yukjok garlic and after 15 days in the elephant garlic. The Fe, Na, K, and Mg content was high in Yukjok black garlic after 15 days, and Na, K, Ca, and Mg were high in the elephant black garlic aged for 15 days. The crude fat content was high in both Yukjok black garlic and elephant black garlic after 15 days. Vitamin C content was highest in both types of garlic after aging for 15 days. An analysis of four kinds of organic acids showed that citric acid was the only organic acid to appear in raw garlic of Yukjok garlic and elephant garlic. Black Yukjok garlic and elephant black garlic had a greater total amino acid content than the raw garlic of either type. However, among the tested amino acids, 13 kinds of amino acids were at their highest after five days of ripening in Yukjok black garlic, while 15 kinds of amino acids were abundant in elephant garlic after the same period. Eight kinds of amino acids were high after aging for 15 days. Through this study, it was confirmed that, in the process of making black garlic, changes in the main components of the garlic occur through different routes, and these changes vary depending on the garlic species. Therefore, this study provided basic data for the processing of Seosan's Yukjok black garlic and elephant black garlic.

We have developed an algorithm for tracking coronal mass ejection (CME) propagation that allows us to estimate CME speed and its arrival time at Earth. The algorithm may be used either to forecast the CME’s arrival on the day of the forecast or to update the CME tracking information for the next day’s forecast. In our case study, we successfully tracked CME propagation using the algorithm based on g-values of interplanetary scintillation (IPS) observation provided by the Institute for Space- Earth Environmental Research (ISEE). We were able to forecast the arrival time (Δt = 0.30 h) and speed (Δv = 20 km/s) of a CME event on October 2, 2000. From the CME-interplanetary CME (ICME) pairs provided by Cane & Richardson (2003), we selected 50 events to evaluate the algorithm’s forecast capability. Average errors for arrival time and speed were 11.14 h and 310 km/s, respectively. Results demonstrated that g-values obtained continuously from any single station observation were able to be used as a proxy for CME speed. Therefore, our algorithm may give stable daily forecasts of CME position and speed during propagation in the region of 0.2–1 AU using the IPS g-values, even if IPS velocity observations are insufficient. We expect that this algorithm may be widely accepted for use in space weather forecasting in the near future.

Residence time is defined as the time taken for a material in a system to leave the system. The residence time characteristics in shellfish aquaculture determine the dispersion of excretion from aquaculture farms, along with the supply of food by seawater exchange. In this study, we estimated the spatial distribution of average residence time in the shellfish farming area using a particle tracking model. As a result, a relatively short average residence time of about 20 days or less was calculated in most areas, but an average residence time of more than 40 days was calculated in the inner areas. Relatively long average residence times were calculated along the west coast compared to the east coast, with the longest average residence time of more than 50 days in the northwestern areas. It can be inferred that the disturbance of the benthic ecosystem caused by shellfish farms is likely to be large because of the relatively weak dispersion of excrement from shellfish farms located on the west coast, especially in the northwest region. This distribution of average residence time is important for understanding the potential effects of seawater exchange on the environmental sustainability of shellfish farms, along with the seawater circulation characteristics of Jaran Bay.

This research is a case study of underwater object tracking based on real-time recurrent regression networks (Re3). Re3 has the concept of generic object tracking. Because of these characteristics, it is very effective to apply this model to unclear underwater sonar images. The model also an pursues object tracking method, thus it solves the problem of calculating load that may be limited when object detection models are used, unlike the tracking models. The model is also highly intuitive, so it has excellent continuity of tracking even if the object being tracked temporarily becomes partially occluded or faded. There are 4 types of the dataset using multi-beam sonar images: including (a) dummy object floated at the testbed; (b) dummy object settled at the bottom of the sea; (c) tire object settled at the bottom of the testbed; (d) multi-objects settled at the bottom of the testbed. For this study, the experiments were conducted to obtain underwater sonar images from the sea and underwater testbed, and the validity of using noisy underwater sonar images was tested to be able to track objects robustly.

The purpose of this study was to develop a period analysis algorithm for detecting new variable stars in the time-series data observed by charge coupled device (CCD). We used the data from a variable star monitoring program of the CBNUO. The R filter data of some magnetic cataclysmic variables observed for more than 20 days were chosen to achieve good statistical results. World Coordinate System (WCS) Tools was used to correct the rotation of the observed images and assign the same IDs to the stars included in the analyzed areas. The developed algorithm was applied to the data of DO Dra, TT Ari, RXSJ1803, and MU Cam. In these fields, we found 13 variable stars, five of which were new variable stars not previously reported. Our period analysis algorithm were tested in the case of observation data mixed with various fields of view because the observations were carried with 2K CCD as well as 4K CCD at the CBNUO. Our results show that variable stars can be detected using our algorithm even with observational data for which the field of view has changed. Our algorithm is useful to detect new variable stars and analyze them based on existing time-series data. The developed algorithm can play an important role as a recycling technique for used data

항로는 선박의 통항이 빈번하고 특히, 항로의 입구부는 선박의 출입이 잦아 사고의 위험이 높은 지역이지만, 항로 단면에서의 통항 분포에만 초점을 맞춘 연구가 다수였으며, 항로 통항 선박간의 시간분포에 대한 연구는 부족하였다. 이에 본 연구에서는 대상항로에서의 통항 선박간의 시간 최적분포를 분석하기 위해서 1주일간의 선박의 통항현황을 조사하였다. 통항현황을 바탕으로 항로 입구부에 1개의 Gate line을 선정하고, Gate line을 통과하는 선박을 입출항, 교통량으로 구분하여 분석하였다. 대상항로의 해상교통 분석 자료를 바탕으로 입출항과 교통량으로 구분하여 항로 통항 선박간의 시간 최적 확률분포를 분석하였다. 최적 확률분포를 분석하기 위하여 경계분포, 비경계분포, 비음수분포, 고급분포로 구분하여 총 31개의 확률분포를 적용하였으며, 최적 확률분포 상위 3개를 분석하기 위하여 KS 검정을 사용하였다. 분석 결과 대상 항로에서 통항 선박간의 최적 시간 확률분포는 Wakeby 분포로 분석되었으며, 도로교통 등의 선행연구에서 사용한 비음수 분포와 다르게 고 급분포가 대부분을 차지하는 것으로 분석되었다. 따라서 향후 항로 통항 선박간의 시간 분포를 적용함에 있어 다른 교통 분야의 선행연구에서 사용한 대표적인 확률분포를 적용하는 것은 적합하지 않는 것으로 판단된다. 또한 실제 교통조사 시 통항 선박간의 거리와 최적 확률분포로 추정한 거리가 비교적 유사함을 확인하였다. 다만 본 연구는 대표적인 1개의 항로를 분석한 만큼 향후 다양한 항로에서의 통항 선박간의 시간 간격 및 교통용량 산정 등의 후속연구가 필요한 것으로 판단된다.

This paper proposes a model and train method that can real-time detect objects and distances estimation based on a monocular camera by applying deep learning. It used YOLOv2 model which is applied to autonomous or robot due to the fast image processing speed. We have changed and learned the loss function so that the YOLOv2 model can detect objects and distances at the same time. The YOLOv2 loss function added a term for learning bounding box values x, y, w, h, and distance values z as 클래스ification losses. In addition, the learning was carried out by multiplying the distance term with parameters for the balance of learning. we trained the model location, recognition by camera and distance data measured by lidar so that we enable the model to estimate distance and objects from a monocular camera, even when the vehicle is going up or down hill. To evaluate the performance of object detection and distance estimation, MAP (Mean Average Precision) and Adjust R square were used and performance was compared with previous research papers. In addition, we compared the original YOLOv2 model FPS (Frame Per Second) for speed measurement with FPS of our model.

Due to advances in machine intelligence and increased demands for autonomous machines, the complexity of the underlying software platform is increasing at a rapid pace, overwhelming the developers with implementation details. We attempt to ease the burden that falls onto the developers by creating a graphical programming framework we named Splash. Splash is designed to provide an effective programming abstraction for autonomous machines that require stream processing. It also enables programmers to specify genuine, end-to-end timing constraints, which the Splash framework automatically monitors for violation. By utilizing the timing constraints, Splash provides three key language semantics: timing semantics, in-order delivery semantics, and rate-controlled data-driven stream processing semantics. These three semantics together collectively serve as a conceptual tool that can hide low-level details from programmers, allowing developers to focus on the main logic of their applications. In this paper, we introduce the three-language semantics in detail and explain their function in association with Splash’s language constructs. Furthermore, we present the internal workings of the Splash programming framework and validate its effectiveness via a lane keeping assist system.

A new algorithm has been propose to detect the reflected light region as disturbances in a real-time vision system. There have been several attempts to detect existing reflected light region. The conventional mathematical approach requires a lot of complex processes so that it is not suitable for a real-time vision system. On the other hand, when a simple detection process has been applied, the reflected light region can not be detected accurately. Therefore, in order to detect reflected light region for a real-time vision system, the detection process requires a new algorithm that is as simple and accurate as possible. In order to extract the reflected light, the proposed algorithm has been adopted several filter equations and clustering processes in the HSI (Hue Saturation Intensity) color space. Also the proposed algorithm used the pre-defined reflected light data generated through the clustering processes to make the algorithm simple. To demonstrate the effectiveness of the proposed algorithm, several images with the reflected region have been used and the reflected regions are detected successfully.

실상 우리는 과거, 현재, 미래라는 세 종류의 시간 속에 익숙한 채 살 아가지만 엘리엇이 『네 사중주』를 통하여 정의한 시간은 우리의 그것과 는 대조를 보인다. 그 차이는 엘리엇이 신학적 관점에서 시간에 접근하 기 때문이다. 그래서 엘리엇의 경우 과거, 현재, 미래 모두가 순간의 연속이라 할 수 있다. 그러므로 이 연구에서 집중한 과거 역시 현재와 밀 접한 관련이 있다. 그래서 엘리엇은 현재의 시각에서 과거를 재조명할 필요성을 역설한다고 볼 수 있다. 엘리엇은 자신이 네 장소에서의 체험을 현재의 시각에서 재조명되기를 소망하면서 이를 보는 시각 역시‘초 탈’을 강조한다. 즉, 자기 자신과 타인과 역사적 사건 등에 대하여 ‘초 탈’의 자세 유지를 우리에게 요구한다.

초음파는 인체에 무해하다고 알려져 산부인과에서 태아의 진단 및 발육상태 확인을 위해 널리 이용되고 있다. 진단 초음파의 장시간 사용은 체온 변화를 야기할 수 있지만 초음파로 인한 임신부의 자궁온도 변화에 대한 연구가 부족한 실정이다. 이에 본 연구에서는 자체 제작한 자궁모형팬텀을 이용하여 초음파 주사 시간에 따른 온도 변화를 알아보고자 하였다. 조직등가 물질인 아크릴과 돼지 자궁을 이용하여 인체 자궁과 유사한 자궁모형팬텀을 자체 제작하였으며 초음파 장비와 4㎒ convex probe를 사용하였다. 아크릴 수조 내부, 자궁내부, 대기온도 측정을 위해 3개의 탐침형 온도계를 설치하였고 측정대상의 온도를 분단위로 6 시간, 총 361회 측정한 결과 자궁모형팬텀의 온도가 상승되었음을 확인하였다. 본 연구를 통해 초음파로 인한 인체 체온 상승의 가능성을 확인 할 수 있었고 본 연구가 초음파 열 흡수효과 연구의 기초자료로 활용 될 것이라 사료된다.

본 연구에서는 플라이애시가 90 %만큼 다량치환된 모르타르에 알칼리 활성화를 통한 강도증진을 동일한 양생온도 조건 에서 양생방법 및 유지시간 변화에 따라 비교 분석하고자 하였다. 연구 결과로 플래이애시를 90 % 치환한 경우, 소생재 도 포 후 40℃로 24시간 기중양생시 가장 높은 압축강도를 발휘하였지만, OPC의 압축강도까지 발휘하는 것은 어려울 것으로 분석되었다.

The global trends of shorter delivery times and the safety of important payload in production networks are leading to higher synchronization efforts between production and delivery processes. By now, research activities in intelligent shipment are expanding quickly in the case of possibilities and importance of usage, which means payload that can identify, monitor or locate itself. In this study, it is proposed that new generation system for continuously monitoring payloads during delivery; real-time monitoring of truck loading states; a new improved algorithm for intelligent monitoring of delivery processing; the possibility of a detailed analysis of the truck loading states in real-time and payload safety; and more efficient truck tracking.

본 연구에서는 Durometer A타입으로 응결시간에 확실하게 차이를 나타낼 수 있는 플라이애시(이하 FA) 치환 콘크리트에서 프록터 관입저항 시험치와 경도치를 비교 분석하고자 하였다. 연구결과로 프록터 관입저항 시험치와 Durometer A타입의 경도치는 곡선의 형태로 높은 상관관계를 나타내었다. 표면 마감작업에 대하여 Durometer A타입의 경도치로 약 25 HD는 초결, 약 35 HD는 종결로 관리한다면 표면 마감작업시간 판정에 효과적일 것으로 사료된다.

진동수 기반 내하력 평가모델을 실교량에 접목시켜 실시간으로 그 결과를 추정하기 위해 모니터링 및 평가 시스템 프레임 웍을 제시하고자한다. 실시간 내하력 평가 시스템은 무선 IOT가속도계를 부착하여 유효 상시진동데이터를 원격으로 획득하고 이를 통해 진동수 및 점성비를 분석하여 모델에서 요구하는 성능계수를 결정하고 이 결과들을 종합하여 이전 내하력 결과 대비 현재의 내하력을 추정하는 방법이다.

사회 인프라 시설물 중 발전 플랜트 시설물에 있어 외부 하중 유입 즉, 지진하중 등에 의한 구조물의 구조 건전성은 보장 되어야 하며, 구조물 내부에서 운용되는 전기기기와 같은 비구조요소의 기능적 안전성 또한 확보되어야 한다. 이에 따라 플랜트 구조물 및 내부 기기의 지진 안전성에 관한 연구가 활발히 수행되고 있으나 미흡한 실정이다. 본 연구에서는 지진동에 의한 구조적 및 기능적 건전성이 확보되어야 하는 전기기기 캐비닛 구조물을 대상으로 3방향 역학적 계산이 가능한 유한요소를 이용하여 상세하게 모델링하였으며, 지진 해석의 방법론으로 응답스펙트럼해석과 시간이력해석을 진행하였다. 또한, 두 해석법을 통해 도출된 전기기기 캐비닛의 응답수준을 파악하고 그 값을 비교하여 내부 기기 등에 대한 내진해석 방법론을 제시하고자 하였다.

Challenging Minisatellite Payload (CHAMP) satellite magnetic data are used to investigate the latitudinal variation of the storm-time meso-scale field-aligned currents by defining a new metric called the FAC range. Three major geomagnetic storm events are considered. Alongside SymH, the possible contributions from solar wind dynamic pressure and interplanetary magnetic field (IMF) BZ are also investigated. The results show that the new metric predicts the latitudinal variation of FACs better than previous studies. As expected, the equatorward expansion and poleward retreat are observed during the storm main phase and recovery phase respectively. The equatorward shift is prominent on the northern duskside, at ~58° coinciding with the minimum SymH and dayside at ~59° compared to dawnside and nightside respectively. The latitudinal shift of FAC range is better correlated to IMF BZ in northern hemisphere dusk-dawn magnetic local time (MLT) sectors than in southern hemisphere. The FAC range latitudinal shifts responds better to dynamic pressure in the duskside northern hemisphere and dawnside southern hemisphere than in southern hemisphere dusk sector and northern hemisphere dawn sector respectively. FAC range exhibits a good correlation with dynamic pressure in the dayside (nightside) southern (northern) hemispheres depicting possible electrodynamic similarity at day-night MLT sectors in the opposite hemispheres.

The present study aimed at investigating the effects of collaborative work between Korean EFL university students and international foreign students on Intercultural Communicative Competence. Twenty four students (14 Korean students and 10 international students) participated in this research. Chen and Starosta’s (2000) intercultural sensitivity scale was implemented with Paradigm Software to measure the participants’ resolution latency time while they were responding to the survey. The results demonstrated that two groups showed significant differences in the areas of respect for cultural difference and interaction confidence. Also, apart from the response value, the analysis of resolution latency time showed other aspects of participants’ cognitive level of intercultural sensitivity. Thus, this study indicates that a multi-round analysis can give a more in-depth insight beyond the mean value of the survey’s response.

버네사이트(birnessite, 7 Å manganate, δ-MnO2)는 망간단괴를 구성하는 주요한 광물이다. 버네사이트는 또한 이온교환제와 배터리 재충전 물질로서 사용될 수 있기 때문에 다양한 합성법이 연구되고 있다. 그러나 버네사이트는 화학양론적으로 성립하지 않는 화학조성을 가지기 때문에 합성시 단일 상을 수득하기에는 어려움이 존재한다. 버네사이트 합성과정 중에서 중간생성물로 페이크네타이트(β-MnOOH)가 나타나는데, 본 연구에서는 이 중간생성물이 버네사이트로 상전이 하는 특성 차이를 XRD와 SEM 결과를 통해 비교하였다. 이번 연구에서는 기존에 연구된 합성 방법 중에서 산화-환원(redox)반응을 기작으로 하는 Feng et al. (2004)와 Luo et al. (1998) 두 방법을 이용하였다. Feng et al. (2004) 방법으로는 27 °C에서 60일, Luo et al. (1998) 방법으로는 60 °C에서 3일 에이징 한 시료에서 단일 상의 버네사이트를 수득할 수 있는 것으로 나타났다. 이러한 두 시료의 상전이 특성은 Mg2+ 도핑여부에 따라 차이가 나타나는 것으로 판단되며 Mg2+ 도핑된 Luo et al. (1998) 방법으로 합성된 버네사이트의 경우 페이크네타이트 상전이 속도가 느리게 나타났고 고온에서 거의 단일 상 버네사이트를 확인할 수 있었으며 결정 표면 및 형태 또한 두 방법 간의 차이를 확인하였다.