• 유통과학연구
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• 제15권7호
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• pp.53-59
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• 2017

Purpose - In the airline industry, an airport plays an important role. There are a lot of employees who work at an airport, and most of the workers experience restraints regarding leisure activities. Thus, there is a need for studying the internal marketing in the airport to better serve the worker. Although there is a lack of well-structured research regarding the restrictions and satisfaction factors experienced by the airport employees for their leisure activities, this research studies how the restrictions and satisfaction factors influence each other in relation to the internal marketing in the airport. The purpose of this research is to provide a detailed, real time research method for studying the restrictions and satisfaction factors in relation to the internal marketing that are experienced by the airport employees regarding their leisure activities. Research design, data, and methodology - This survey was conducted for airport employees working in two shifts. The questionnaire is 152 copies. The analysis method was used as SPSS statistical package 21.0 and Netminer 4.0 program. Social networks were analyzed for leisure satisfaction and leisure restrictions. Results - As a result of analyzing the linkage between variables for leisure satisfaction, most of the variables of leisure satisfaction are satisfied with "psychological factor" and "social factor". However, "educational factor" and "environmental factor" are not satisfied. In order to improve the leisure satisfaction of airport workers in the future, it is necessary to have an environment where leisure activities can be performed and related education. As a result of analyzing the linkage between variables of leisure restrictions, most of the variables in leisure restrictions are "personal factors" and "temporal factors". However, there are few restrictions on "cost-efficient" and "environment-friendly". Conclusions - In the future, in order to reduce the leisure restrictions of airport workers, they need to reduce work stress, psychological time and leisure allowance for leisure activities. However, it is difficult to solve these problems due to realistic problems including the specificity of working at the airport. This research presents an interdisciplinary analysis of how the restrictions and satisfaction factors influence each other in order to further advance the understanding of the constraints and satisfaction that are experienced by the airport employees.

• 한국항행학회논문지
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• 제24권2호
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• pp.155-162
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• 2020

최근 컴퓨터 비전과 딥러닝 기술의 발전으로 비디오 분석, 영상 감시, 인터렉티브 멀티미디어 및 인간 기계 상호작용 응용을 위해 인간 행동 인식에 관한 연구가 활발히 진행되고 있다. 많은 연구자에 의해 RGB 영상, 깊이 영상, 스켈레톤 및 관성 데이터를 사용하여 인간 행동 인식 및 분류를 위해 다양한 기술이 도입되었다. 그러나 스켈레톤 기반 행동 인식은 여전히 인간 기계 상호작용 분야에서 도전적인 연구 주제이다. 본 논문에서는 동적 이미지라 불리는 시공간 이미지를 생성하기 위해 동작의 종단간 스켈레톤 조인트 매핑 기법을 제안한다. 행동 클래스 간의 분류를 수행하기 위해 효율적인 심층 컨볼루션 신경망이 고안된다. 제안된 기법의 성능을 평가하기 위해 공개적으로 액세스 가능한 UTD-MHAD 스켈레톤 데이터 세트를 사용하였다. 실험 결과 제안된 시스템이 97.45 %의 높은 정확도로 기존 방법보다 성능이 우수함을 보였다.

• 한국수자원학회논문집
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• 제36권5호
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• pp.839-849
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• 2003

가뭄은 주요 자연 재해 중의 하나이다. 가뭄 파악을 위하여 주로 강우량과 같은 기상자료를 주요 입력 자료로 활용하여 분석하고 있으나 이러한 기상 자료는 한정된 기상 관측소로부터 얻어진 점자료에 해당된다. 따라서, 기상자료를 이용한 분석에서는 시간적 혹은 공간적으로 원하는 자료의 제공이 원활하게 이루어지지 않을 수 있다. 원격탐사 자료는 가뭄분석을 위하여 기상자료에서 포착할 수 없는 이러한 문제점을 보완하기 위한 자료로 활용될 수 있다. 따라서, 본 연구에서는NOAA 위성에 탑재되어 있는 AVHRR 센서로부터 얻어지는 자료를 이용하여 가뭄 파악을 위한 분석을 실시하였다. 특히 본 연구에서는 NOAA/AVHRR로부터 얻어진 식생지수(NDVI)와 이로부터 얻을 수 있는 식생상태지수(VCI)를 이용하여 가뭄 분석을 실시하였으며, 이들 지수는 가뭄으로부터 기인된 식생 스트레스를 파악하는데 유용하게 이용될 수 있음을 알 수 있었다. 본 연구를 통하여 가뭄에 대한 시간적, 공간적 특성을 파악하는데 위성자료가 유용하게 이용될 수 있음을 알 수 있었으며, VCI를 통하여 가뭄 지역도 작성이 가능함을 보여주고 있다.

• Journal of Positioning, Navigation, and Timing
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• 제9권3호
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• pp.229-236
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• 2020

The trend of water vapor contents in atmosphere is one of key elements for studying climate change. The tropospheric products, i.e., ZTD values achieved through GPS data processing can retrieve the amount of water vapor with higher temporal and spatial resolution than any other instruments. In this study, the tropospheric products of KASINET for a time period from 2001 to 2014 are reprocessed using PPP strategy and the products from the CODE's 2nd reprocessing campaign. For consistency with reprocessing activities of other networks like EPN, the VMF1 mapping function and non-tidal loading effect due to atmospheric pressure are applied in the process. The reprocessing results are investigated through comparing with the CODE's 2nd reprocessing products by including some IGS stations in the process and also calculating weekly coordinate repeatability to see the quality of the processing. After removing outliers based on the variation of averaged formal error, all processed stations have similar variations of formal error about 2 mm which is lower than that of the IGS final product. Comparison results with the CODE's 2nd reprocessing products show that the overall mean difference is found to be -0.28±5.54 mm which is similar level of the previous studies. Finally, the ZTD trends of all KASINET stations are calculated and the averaged trend is achieved as 0.19 mm/yr. However, the trend of each month shows different amounts and directions from -1.26 mm/yr in May to 1.18 mm/yr in August. In conclusion, the reprocessed tropospheric product and applied strategy of this study has enough quality as one of reliable solution for a reference product for Korean Peninsula which is needed to use GPSbased tropospheric product for climate change research.

• 한국지구과학회지
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• 제22권2호
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• pp.138-146
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• 2001

이 연구에서는 극궤도 기상위성인 NOAA/AVHRR 시계열 자료를 이용하여 한반도의 지면 피복을 분류하였다. 일주기 기상위성자료로부터 구름이 없는 상태의 지면상태 자료를 획득하기 위하여 10일 간격 최대치 합성법 자료를 작성하였으며 27개의 10일주기 식생지수 자료들(겨울철 12, 1, 2월 자료 9개 제외)로부터 4개의 식생 계절성 자료를 작성하였다. 또한 위성자료로부터 분석한 연 최고 및 연평균 지면온도, 그리고 지형고도 자료를 이용하였다. 각 지면 피복에 대한 특성 자료 수집이 어렵기 때문에 여기서는 2단계 무감독 분류법을 이용하였다. 즉, 초기 입력자료는 신경망 기법의 일종인 SOFM을 이용하여 군집화한 다음 결정나무를 이용하여 각 군집을 분류하였다. 최종 분류 결과는 식생지수의 시계열과 지상 자료로 검증한 결과 대도시, 농지, 낙엽수림 및 상록수림 등 우리 나라의 지면 피복을 개략적으로 잘나타내고 있는 것으로 판단된다.

• 한국과학교육학회지
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• 제32권3호
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• pp.524-531
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• 2012

Categorization is an important human function used to process different stimuli. It is also one of the most important factors affecting measurement of a person's classification ability. Explicit categorization, the representative system by which categorization ability is measured, can verbally describe the categorization rule. The purpose of this study was to develop a prediction model for categorization ability as it relates to the classification process of living organisms using fMRI. Fifty-five participants were divided into two groups: a model generation group, comprised of twenty-seven subjects, and a model verification group, made up of twenty-eight subjects. During prediction model generation, functional connectivity was used to analyze temporal correlations between brain activation regions. A classification ability quotient (CQ) was calculated to identify the verbal categorization ability distribution of each subject. Additionally, the connectivity coefficient (CC) was calculated to quantify the functional connectivity for each subject. Hence, it was possible to generate a prediction model through regression analysis based on participants' CQ and CC values. The resultant categorization ability regression model predictor was statistically significant; however, researchers proceeded to verify its predictive ability power. In order to verify the predictive power of the developed regression model, researchers used the regression model and subjects' CC values to predict CQ values for twenty-eight subjects. Correlation between the predicted CQ values and the observed CQ values was confirmed. Results of this study suggested that explicit categorization ability differs at the brain network level of individuals. Also, the finding suggested that differences in functional connectivity between individuals reflect differences in categorization ability. Last, researchers have provided a new method for predicting an individual's categorization ability by measuring brain activation.

• 한국통신학회논문지
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• 제31권6B호
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• pp.517-526
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• 2006

본 논문에서는 가상 셀(Virtual Cell)이라는 새로운 개념을 도입하여 사용자의 움직임에 따라 셀(Cell)이 동적으로 바뀌어서 핸드오프의 문제가 없으며, 사용자 간, 셀 간에 야기되는 간섭을 모니터링 할 수 있고 또한 상호 간섭을 최소화하도록 제어할 수 있어서 기존 셀룰라 시스템이 안고 있는 간섭 문제를 효과적으로 극복할 수 있는 분산무선통신시스템에 관하여 소개한다. 그리고 이러한 분산무선시스템을 기반으로 하여 사용자 통신의 링크 품질을 지속적으로 유지하면서 용량을 향상시키고자 하는 Dual Virtual Cell(DVC) 개념과 운용 방안을 제안하였다. DVC 시스템은 단말의 실제 트래픽을 위한 Active Virtual Cell 외에, 사용자 통신의 다음 시점의 도달 범위 예측과 사용자 무선링크의 품질저하 및 단절을 방지하기 위한 후보군의 분산안테나들의 집합인 Candidate Virtual Cell을 도입하여 이러한 이중구조의 가상 셀을 동시에 관리함으로써, 채널정보 획득에 대한 단말의 부담을 줄이고 채널추정정보에 대한 시간지연과 단말의 이동으로 인한 무선링크 단절 및 품질 저하를 방지하며 신속한 통신채널 변경을 지원할 수 있다. 제안하는 시스템에서는 DVC의 안테나 구성을 위하여 안테나 선택기법을 이용하고 있으며, 시스템 오차 확률 개선을 위하여 Space-Time Trellis Code를 도입하였다.

• 지구물리
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• 제3권3호
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• pp.201-212
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• 2000

1991년 12월 이후 약 3년 동안 남한 중서부지역에서 발생할 미소지진을 한국교원대 관측망을 통해 관측하고 그 자료를 분석하였다. 월 평균 약 2회의 지진이 발생하여 낮은 지진활동도를 나타내며, 시간적으로 발생빈도에 뚜렷한 변화를 나타내지 않고 있다. 지난 3년간의 관측자료에 근거한 빈도-규모 관계식에서의 b값은 1.15이다. 진앙은 주로 옥천대에 많이 분포하고 있으며, 특히 옥천대와 영남육괴의 경계부인 문경지역, 보은-속리산-영동지역, 군산-논산 지역에 상대적으로 많이 분포하는 경향을 보인다.

• 한국환경농학회:학술대회논문집
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• 한국환경농학회 2009년도 정기총회 및 국제심포지엄
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• pp.228-239
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• 2009

The observations on climate change show a clear increase in the temperature of the Earth's surface and the oceans, a reduction in the land snow cover, and melting of the sea ice and glaciers. The effects of climate change are likely to include more variable weather, heat waves, increased mean temperature, rains, flooding and droughts. The threat of climate change and global warming on human and animal health is now recognized as a global issue. This presentation is described an overview of the latest scientific knowledge on the impact of climate change on zoonotic diseases. Climate strongly affects agriculture and livestock production and influences animal diseases, vectors and pathogens, and their habitat. Global warming are likely to change the temporal and geographical distribution of infectious diseases, including those that are vector-borne such as West Nile fever, Rift Valley fever, Japanese encephalitis, bluetongue, malaria and visceral leishmaniasis, and other diarrheal diseases. The distribution and prevalence of vector-borne diseases may be the most significant effect of climate change. The impact of climate change on the emergence and re-emergence of animal diseases has been confirmed by a majority of countries. Emerging zoonotic diseases are increasingly recognized as a global and regional issue with potential serious human health and economic impacts and their current upward trends are likely to continue. Coordinated international responses are therefore essential across veterinary and human health sectors, regions and countries to control and prevent emerging zoonoses. A new early warning and alert systems is developing and introducing for enhancing surveillance and response to zoonotic diseases. And international networks that include public health, research, medical and veterinary laboratories working with zoonotic pathogens should be established and strengthened. Facing this challenging future, the long-term strategies for zoonotic diseases that may be affected by climate change is need for better prevention and control measures in susceptible livestock, wildlife and vectors in Korea. In conclusion, strengthening global, regional and national early warning systems is extremely important, as are coordinated research programmes and subsequent prevention and control measures, and need for the global surveillance network essential for early detection of zoonotic diseases.

• 한국물환경학회지
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• 제33권4호
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• pp.394-402
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• 2017

In korea, TMDL is being implemented to manage nonpoint pollution sources as well as point pollution sources. LDC is being used for the planning of TMDL. In order to analyze the water quality using LDC, it is necessary to prepare FDC using the daily flow data. However, only the daily flow data is measured at the WAMIS branch, and 8days flow data and water quality data are measured at the monitoring Networks. So, in many researches, the water quality is being grasped by deriving the LDC using the 8days flow or the daily flow obtained by various methods. These fluctuations may lead to differences in determining whether the target load is achieved. In this study, each LDC was prepared using the 8day flow and the related daily flow. Then, the effect using different flow data on the achievement of target load was compared according to flow conditions. As a result, the difference ratio in the number of overloads under flow condition was showed 19% in high flows, 42% in moist conditions, 49% in mid-range flows, 41% in dry conditions, and 104% in low flows. In the top ten watershed with the highest difference ratio, the flow became lower the difference ration increases. These differences can cause uncertainty in assessing the achievement of target load using LDC. Therefore, in order to evaluate the water quality accurately and reliably using LDC, accurate daily flow data and water quality data should be secured through the installation of national nonpoint measurement network.