• Journal of Distribution Research
• /
• 제7권1호
• /
• pp.105-127
• /
• 2002

This paper presents an analysis of how the business models of organizations are getting transformed in the Marketspace created by the Internet. We use a research model comprising the transformation scores of four Ps(Product, Price, Promotion, and Place) as dependent variables and three dimensions, Demographics, Technology, and Community elements on the Websites, as explaining variables about the Cyber Transformation of the 4Ps. While most existing literatures have focused on Website's technology, our research model includes 22 five-point-scale items; 10 Demographics /Technology items and 12 Community items. To measure the 4P's transformation scores, the authors selected 14 workable items from the Marketspace Model by Dutta, Kwan, & Segev(1997). A sample of 123 shopping mall Websites comprising three categories(grocery, jewelry/accessory, and cosmetics) from the 100hot.co.kr list are evaluated and the data is analyzed by SPSSWIN 8.0 version. The result shows that there are five significant factors, Technology, Interaction, Connectedness, Business Features, and Domain, while the average transformation scores of 4Ps are at very low level. The factor scores are used in regression analysis for each P. Two factors, Technology and Interaction are influencing all four Ps; Connectedness is influencing only two, Product and Place. Organizations must not simply take their existing business models. They have to adopt the Technology items(navigation, logo, e-mail, guide, graphics) and to facilitate the Interaction items(consulting, number/quality of bulletin boards, participation, offline events) and Connectedness(club activation, contents, partner/site link, entertainment contents) in order to get transformed in the Marketspace successfully in the near future.

• Proceedings of the Korea Water Resources Association Conference
• /
• 한국수자원학회 2015년도 학술발표회
• /
• pp.30-30
• /
• 2015

유역에 내린 강우의 총량은 홍수나 갈수 측면에서 매우 중요하다. 점 강우량에 의해 측정된 강우량을 이용하여 유역 총강우량으로 환산하는 과정에 많은 오차가 포함되어 있다. 선행연구에 따르면, 우량계를 통한 강우관측에서 언더캐치(undercatch)에 의한 계통오차는 일반적으로 5~16%, 우연오차는 약 5%가 발생된다고 보고하였으며, 점 우량계 자료를 내삽하여 공간자료로 변환할 경우 0.1km 규모에서 표준오차가 4~14%, 1km 규모에서는 33~45%, 10km 규모에서는 약 65% 정도 발생된다고 한다. 이러한 우량계 관측오차 및 강우자료 처리과정에서 발생되는 오차는 유역의 유출량 계산에 영향을 주어 홍수예보 정확도를 크게 떨어뜨릴 수 있다. 우리나라에서는 지금까지 유역 총강우량 산정 측면에서 지점강우량의 불확실성에 대한 연구가 많이 이루어지지 못하였다. 본 연구에서는 우리나라에서 주로 사용되고 있는 전도형 우량계를 이용하여 소규모 구역에서 관측되는 강우관측의 불확실성을 분석하고자 하였다. 연구에 사용된 우량계는 0.5mm 급 표준 전도형 우량계로 정밀도는 시간당 1~100mm 기준으로 ${\pm}1%$를 기록하여 기상검정규격인 ${\pm}3%$를 만족하고 있다. 이 우량계는 한국건설기술연구원 안동하천실험센터 내에 장애물이 없는 평지에 60m 간격으로 총 6대($2{\times}3$)를 설치하여 2014년 7월 11일부터 9월 2일까지 54일간 관측을 수행하였다. 관측기간 동안 2대의 우량계가 수일동안 강우가 기록되지 않아서 분석에서 제외하였다. 우량계 상호 간의 누적강우량(54일간)을 비교한 결과 2.5~25.5mm의 차이를 나타냈다. 강우강도별 강우량 합계를 비교한 결과 시간당 1mm 이상에서는 약 1%의 차이가 났으며, 시간당 15mm 이상에서는 7.4%의 차이를 나타내어 강도가 큰 강우사상에서 우량계 간의 관측오차가 더 크게 나타났다. 또한 우량계 상호 간의 상관계수를 분석한 결과, 우량계 간의 거리가 가까울수록 그리고 누적시간이 길수록 상관계수는 커지는 것을 확인할 수 있었다. 도출된 결과를 토대로 하면 앞서 언급한 바와 같이 점 우량계 자료를 내삽하거나 유역 또는 계산격자의 대푯값으로 사용하여 1시간 이하 단위로 유출모의를 할 경우 심각한 오차를 발생시킬 수 있음을 시사한다. 보다 신뢰성 있는 홍수예보와 효율적인 유역관리를 위해서는 점 중심의 강우 관측이 아닌 면적 우량에 대한 관측이 이루어져야 하며 이를 위한 기술의 개발이 필요하다.

• Proceedings of the Korea Society of Environmental Biology Conference
• /
• 한국환경생물학회 2002년도 학술대회
• /
• pp.61-71
• /
• 2002

광양만내 해양바이러스양은 2.0$\times$$10^{8}$ particles/ml로 매우 풍부했다. 각 계절별 바이러스의 밀도는 여름에 최대 9.0$\times$$10^{8}$ particles/ml에서 겨울에는 최소값인 0.7$\times$$10^{8}$ particles/ml을 기록했다. 광양만 내의 바이러스, 박테리아, 식물플랑크톤 생물량의 공간적 분포는 open ocean system에 해당하는 정점 28, 38, 42, 46, 51에서 보다 closed estuarine system에 해당하는 정점 2, 5, 10 ,12, 16, 20에서 많은 것으로 나타났다. 그리고, 다른 closed estuarine system에 해당하는 정점 22, 26, 32, 34는 높은 바이러스 밀도를 보였지만 상대적으로 open ocean system에 비해서 낮은 박테리아와 식물플랑크톤의 생물량을 나타냈다. 몇몇 정점의 수심 깊이에서는 박테리아의 밀도가 바이러스의 밀도를 100배정도 초과했다. 해양 바이러스와 그들의 host system의 계절별 밀도는 역동적으로 번화했으며, 그들의 계절별 변화는 밀집한 상호연관성을 가졌다. 여름에 바이러스와 박레리아의 밀도는 증가된 반면 식물플랑크톤의 엽록소-a 농도는 평균값을 유지하였다. 겨울에는 바이러스와 박테리아의 밀도가 급속하게 줄어들었고, 마찬가지로 엽록소-a 농도 역시 감소하다가, 곧 다시 증가했다. 바이러스의 밀도는 2001년 8월에 최고점에 도달했으며, 박테리아의 밀도는 2001년 8월과 2002년 6월에 최고값을 가졌다. 반면에 엽록소-a의 농도는 2002년 4월에 최대치에 도달했다. 전체 host와 바이러스 밀도로 볼 때, 그들의 pool은 바이러스에 의한 mortality에 의해서 steady-state 상태로 유지되고, 바이러스의 밀도 또한 steady-state를 유지하는 것으로 보였다. 이러한 시도는 우리 나라 광양만 내에 존재하는 해양 바이러스의 생태적 분포 연구를 다루는 첫 번째 실험으로 사료된다.

• Spatial Information Research
• /
• 제9권1호
• /
• pp.107-124
• /
• 2001

The purpose of this research is to develop system and to establish methodology for managing spatial Database in Land Management Information System(LMIS). Spatial Database which is used by a various public department such as parcel survey and registry, land use planning and Land value appraisal in local government, is composed of parcel map, topographic map and zoning map. Spatial data has been constructed and managed by various department and then hard to maintain accuracy and coinsistency. So, it is important to establish the basic data management concept that source data(ex : parcel map, topographic map, zoning map, etc.) should be managed by responsible department. at the same time, application data for bussiness (ex : individual parcel price map) must be recomposed from base map by it's own objects. This is, Spatial data management system (SDMS) should be designed, developed according to this concept for managing consistency among data, reducing construction and management cost of database. Our SDMS was developed based on Open LMIS middleware architecture using OpenGIS CORBA specification for standard interface, RUP(Rational Unified Process) for development methodology, UML(Unified Modeling Language) for system design and VisiBroker, C++, CAD system for system implementation.

• 한국벤처창업학회:학술대회논문집
• /
• 한국벤처창업학회 2018년도 추계학술대회
• /
• pp.31-34
• /
• 2018

다중지능은 하워드 가드너가 제시한 개념으로, 지능이 단일한 지적 능력을 나타내는 구조(construct)이라기 보다는 다차원적인 복수의 하위 능력들로 구성된 것이라는 의미를 담고 있다. Gardner는 다중지능의 구성을 음악지능이나 신체운동지능, 논리수학지능, 언어지능, 공간지능, 인간친화지능, 자기성찰지능 그리고 자연친화지능 등과 같은 상호독립적 능력으로 분류하고 있으며, 각 개인은 각 능력 영역에서 다른 발달 수준을 가지고 있다고 본다. 본 연구는 창업자의 다중지능의 영역별 발달 특성이 창업 실행 행동, 창업 분야, 창업 성과 만족도에 영향을 미치는지를 알아보는 것을 통해 예비 창업자들이 본인의 적성과 재능에 적합한 분야에서의 창업 가능성을 탐색하도록 돕는 지도자들에게 시사점을 제공하고, 향후 창업가 육성 프로그램의 구성 개선안을 마련하는 데에 기여하고자 한다. 이를 위해 본 연구에서는 2018년 중소기업진흥공단 청년창업사관학교에 입교한 만 39세 이하의 청년창업자 200인을 대상으로 다중지능검사와 인구통계학적 특성 및 창업 특성에 대해 묻는 설문조사를 실시한 후, Pearson 상관계수 및 다변량분산분석을 통해 수집된 자료를 분석할 예정이다. 연구목적을 달성하기 위하여 설정한 가설은 다음의 3가지이다. 가설 1. 창업자의 다중지능 영역별 발달 수준과 창업 실행에는 정적인 상관이 있을 것이다. 가설 2. 창업자의 다중지능 영역별 발달 수준에 따라 창업자가 선택한 창업 분야에 유의한 차이가 있을 것이다. 가설 3. 창업자의 다중지능 영역별 발달 수준에 따라 창업자의 창업 성과 만족도에 유의미한 차이가 있을 것이다.

• The Journal of The Korea Institute of Intelligent Transport Systems
• /
• 제17권4호
• /
• pp.124-137
• /
• 2018

The main purpose of this study is to find the hotspots of crimes that occur frequently in the space and to derive the appropriate CCTV installation location. One of the characteristics of crime is clustered around past occurrence area, and these crimes are strongly correlated. It is also possible to find the cause of the clusters and the variables that affect the crime through the history of the crime. In addition to the traditional OLS model, spatial differential model including spatial autocorrelation and spatial error model were used to select the variables influencing the five major crime rate, the theft rate and the foreign resident rate. The variables affecting the Five major crimes were positive (+) sign for the welfare and the rate of the bar cluster rate, and negative (-) for the street density. The CCTV area occupies 46% of the hotspots based on the overlapping of the areas where the elderly people are crowded, the bar cluster, many multicultural families, and the areas with low density of street lamps. It turned out. Taking into account the current CCTV operation, the total number of new cases to cover the risk point was 89.

• Journal of the Korea Society of Computer and Information
• /
• 제17권6호
• /
• pp.37-48
• /
• 2012

Image registration is a process to establish the spatial correspondence between the images of same scene, which are acquired at different view points, at different times, or by different sensors. In this paper, we propose an effective registration method for images acquired by multi-sensors, such as EO (electro-optic) and IR (infrared) sensors. Image registration is achieved by extracting features and finding the correspondence between features in each input images. In the recent research, the multi-sensor image registration method that finds corresponding features by exploiting NMI (Normalized Mutual Information) was proposed. Conventional NMI-based image registration methods assume that the statistical correlation between two images should be global, however images from EO and IR sensors often cannot satisfy this assumption. Therefore the registration performance of conventional method may not be sufficient for some practical applications because of the low accuracy of corresponding feature points. The proposed method improves the accuracy of corresponding feature points by combining the gradient orientation as spatial information along with NMI attributes and provides more accurate and robust registration performance. Representative experimental results prove the effectiveness of the proposed method.

• Korean Journal of Remote Sensing
• /
• 제29권2호
• /
• pp.219-233
• /
• 2013

In this study, spatio-temporal variations of Land Surface Emissivity (LSE) of the three LSE data sets in the Asian-Oceanian regions were addressed. The MODerate Resolution Imaging Spectroradiometer (MODIS) LSE, Cooperative Institute for Meteorological Satellite Studies (CIMSS) LSE, and Kongju National Univ. (KNU) LSE data sets were used. The three data sets showed very similar emissivity in the Tibetan Plateau, desert in the Middle East and Australia, and low latitude regions irrespective of season. The emissivity of $12{\mu}m$ was systematically greater than that of $11{\mu}m$, in particular, in the Tibetan Plateau, desert over Middle East and Australia. In general, they showed a weak seasonal variation in the low latitude regions although the emissivity was different among them. However, the three data sets showed quite different spatial and temporal variations in the other regions of Asian-Oceanian regions. The KNU LSE showed a systematic seasonal variation with a high emissivity during summer and low emissivity during winter but the other two LSE data sets showed irregular seasonal variations without regard to the regions. And the annual mean correlations of $11{\mu}m$ and $12{\mu}m$ between KNU LSE and MODIS LSE (KNU LSE and CIMSS LSE; MODIS LSE and CIMSS LSE) were 0.423 and 0.399 (0.330, 0.101; 0.541, 0.154), respectively. The relatively low correlations and strong inter-month variations, in particular, in $12{\mu}m$, indicated that consistency in spatial variation was very low. The comparison results showed that caution should be given before operational use of the LSE data sets in these regions.

• The Korean Journal of Ecology
• /
• 제23권3호
• /
• pp.241-253
• /
• 2000

The degree to which microenvironmental factors are linked to spatial patterns of vegetational factors within ecosystems has important consequences for our understanding of how ecosytems are structured and for conservation of rare species in ecosystems. We studied this relationships between the spatial patterns of microenvironmental factors and vegetational factors in temperate hardwood forest in Mt. Jumbong Biological Reserve Area, Korea. To do this, environmental and vegetational factors from 196 micropoints in a 0.49 ha plot were investigated. Most of all environmental factors and vegetational factors showed the variations among micropoints. Microtopographic factors, litter depth, soil moisture content and relative light intensity at this site were spatially dependent at a scale of 14∼62 m. Coverage of tree and shrub layer and species diversity of herb layer in autumn were spatially dependent at a scale of < 15 m. Species richness and species diversity of herb layer in spring and species richness of herb layer in autumn were spatially dependent at a scale of 28∼48 m. Multiple regression analysis showed that spatial patterns of species richness and species diversity of herb layer in spring and autumn were affected by litter depth, slope, subtree layer, shrub, Sasa borealis etc. The best predictor for the spatial patterns of species richness and species diversity of herb layer at this site was the spatial pattern of litter depth. Species richness and species diversity of herb layer showed strongly negative correlation with litter depth. We estimate that the spatial pattern of litter depth at this site were affected by direction of wind, microtopography and spatial pattern of shrub layer.

• Journal of Korea Water Resources Association
• /
• 제47권6호
• /
• pp.537-546
• /
• 2014

Surface image velocimetry was introduced as an efficient and sage alternative to conventional river flow measurement methods during floods. The conventional surface image velocimetry uses a pair of images to estimate velocity fields using cross-correlation analysis. This method is appropriate to analyzing images taken with a short time interval. It, however, has some drawbacks; it takes a while to analyze images for the verage velocity of long time intervals and is prone to include errors or uncertainties due to flow characteristics and/or image taking conditions. Methods using spatio-temporal images, called STIV, were developed to overcome the drawbacks of conventional surface image velocimetry. The grayscale-gradient tensor method, one of various STIVs, has shown to be effectively reducing the analysis time and is fairly insusceptible to any measurement noise. It, unfortunately, can only be applied to the main flow direction. This means that it can not measure any two-dimensional flow field, e.g. flow in the vicinity of river structures and flow around river bends. The present study aimed to develop a new method of analyzing spatio-temporal images in two-dimension using cross-correlation analysis. Unlike the conventional STIV, the developed method can be used to measure two-dimensional flow substantially. The method also has very high spatial resolution and reduces the analysis time. A verification test using artificial images with lid-driven cavity flow showed that the maximum error of the method is less than 10 % and the average error is less than 5 %. This means that the developed scheme seems to be fairly accurate, even for two-dimensional flow.