• Korean Journal of Agricultural and Forest Meteorology
• /
• v.6 no.3
• /
• pp.170-176
• /
• 2004

This study was carried out to establish a spatial decision support system for evaluating climatic aspects of a given geographic location in complex terrains with respect to the quality apple production. Monthly climate data from S6 synoptic stations across South Korea were collected for 1971-2000. A digital elevation model (DEM) with a 10-m cell spacing was used to spatially interpolate daily maximum and minimum temperatures based on relevant topoclimatological models applied to Jangsoo county in Korea. For daily minimum temperature, a spatial interpolation scheme accommodating the potential influences of cold air accumulation and the temperature inversion was used. For daily maximum temperature estimation, a spatial interpolation model loaded with the overheating index was used. Freezing risk in January was estimated under the recurrence intervals of 30 years. Frost risk at bud-burst and blossom was also estimated. Fruit quality was evaluated for soluble solids, anthocyanin content, Hunter L and A values, and LID ratio, which were expressed as empirical functions of temperature based on long-term field observations. AU themes were prepared as ArcGlS Grids with a 10-m cell spacing. Analysis showed that 11 percent of the whole land area of Jangsoo county might be suitable for quality 'Fuji' apple production. A computer program (MAPLE) was written to help utilize the results in decision-making for site-selection of new orchards in this region.

• Progress in Medical Physics
• /
• v.25 no.4
• /
• pp.288-297
• /
• 2014

Dynamic conformal arc therapy (DCAT) and flattening-filter-free (FFF) beams are commonly adopted for efficient conformal dose delivery in stereotactic body radiation therapy (SBRT). Off-axis geometry (OAG) may be necessary to obtain full gantry rotation without collision, which has been shown to be beneficial for peripheral targets using flattened beams. In this study dose distributions in OAG using FFF were evaluated and the effect of mechanical rotation induced uncertainty was investigated. For the lateral target, OAG evaluation, sphere targets (2, 4, and 6 cm diameter) were placed at three locations (central axis, 3 cm off-axis, and 6 cm off-axis) in a representative patient CT set. For each target, DCAT plans under the same objective were obtained for 6X, 6FFF, 10X, and 10FFF. The parameters used to evaluate the quality of the plans were homogeneity index (HI), conformality indices (CI), and beam on time (BOT). Next, the mechanical rotation induced uncertainty was evaluated using five SBRT patient plans that were randomly selected from a group of patients with laterally located tumors. For each of the five cases, a plan was generated using OAG and CAG with the same prescription and coverage. Each was replanned to account for one degree collimator/couch rotation errors during delivery. Prescription isodose coverage, CI, and lung dose were evaluated. HI and CI values for the lateral target, OAG evaluation were similar for flattened and unflattened beams; however, 6FFF provided slightly better values than 10FFF in OAG. For all plans the HI and CI were acceptable with the maximum difference between flattened and unflattend beams being 0.1. FFF beams showed better conformality than flattened beams for low doses and small targets. Variation due to rotational error for isodose coverage, CI, and lung dose was generally smaller for CAG compared to OAG, with some of these comparisons reaching statistical significance. However, the variations in dose distributions for either treatment technique were small and may not be clinically significant. FFF beams showed acceptable dose distributions in OAG. Although 10FFF provides more dramatic BOT reduction, it generally provides less favorable dosimetric indices compared to 6FFF in OAG. Mechanical uncertainty in collimator and couch rotation had an increased effect for OAG compared to CAG; however, the variations in dose distributions for either treatment technique were minimal.

• Journal of the Korean Arthroscopy Society
• /
• v.6 no.2
• /
• pp.109-114
• /
• 2002

Propose : The purpose of this retrospective study was to test the posterior cruciate ligament (PCL index) for diagnosis of a tear of the anterior cruciate ligament (ACL) by means of MR imaging. Materials and Methods : From Mar. 1997 to Feb. 2001, concomitant magnetic resonance imaging (MRI) and knee joint arthroscopy were performed in 56 patients of either pain or instability of the knee. The shortest distance between the femoral and tibial attachment of PCL (X) and the distance from that line to the tip of the arc marked by the PCL (Y) on the sagittal plane images were measured. The quotient of these two parameters (Y/X) defined the PCL index. Results : Using MRI diagnosis, there were 35 patients diagnosed with ACL rupture and 21 patients were ruled out of ACL injury. Using arthroscopy, 32 of the 35 patients diagnosed by MRI showed ACL rupture, and 20 of the 21 patients were ruled out of ACL injury. The mean PCL index was 0.40 in the 33 patients diagnosed with ACL rupture through arthroscopy. The mean PCL index was 0.23 in 23 patients with an uninjured ACL through arthroscopy. In 33 patients with ruptured ACL, this value exceeds 0.31. The index value was 0.31 in 3 patients with uninjured ACL. The value of the index was not above 0.31 with an uninjured ACL. PCL index on MRI had a sensitivity of $91\%$ and a specificity of $94\%$ for determining the status of the anterior cruciate ligament. Conclusion : Injury to the ACL changes the PCL index markedly. In diagnostically unreliable MR images, amelioration of the PCL index could help in the diagnosis of ACL injury.

• Economic and Environmental Geology
• /
• v.44 no.4
• /
• pp.273-288
• /
• 2011

Chon-Ashuu copper mining claim area is located, in terms of the geotectonic setting, in the northern part of the suture line which is bounded with the marginal part of Issik-kul micro-continent on the southern part of North Tien-Shan terrane. The geological blocks of Chon-Ashuu districts belong to the southern tip of Kazakhstan orocline. The rock formation of this area are composed of the continental crust or/and arc collage and the paleo-continental fragments-accretionary wedge complex of pre-Altaid orogenic materials. ASI(Alumina Saturation Index) of Paleozoic plutonic rocks in Chon-Ashuu area belong to the peraluminous and metaluminous rocks which were generated from fractional crystallization of Island and volcanic arc crusts in syn-post collisional plate. The geology of the ChonAshuu area consists of upper Proterozoic and Paleozoic rock formations. According to Harker variation diagrams for Chon-Ashuu arenaceous sedimentary rocks, the silty sandstone of Chon-Ashuu area showing the mineralogical immaturity were derived from Island arc or the marginal environments of active continent in Cambro-Carboniferous period. Numerous intrusive rocks of Chon-Ashuu area are distributed along north east trending tectonic structures and are bounded on four sides by the conjugate pattern. The most common type of the plutonic rocks are granodiorite and monzodiorite. According to the molecular normative An-Ab-Or composition (Barker, 1979), the plutonic rocks in Chon-Ashuu area are classified into tonalite - trondhjemite - granodiorite (TTG) series which are an aggregation of rocks which is the country rock of copper mineralization, that are formed by melting of hydrous mafic crust at high pressure.

• The Journal of the Korea institute of electronic communication sciences
• /
• v.12 no.1
• /
• pp.139-146
• /
• 2017

The interest about Artificial Intelligence through the AlphaGo Match in Korea has been increasing rapidly. So far, very little has been done in Artificial Intelligence. The aim of this paper is to reveal technology convergence and to assess the country profile in the field of artificial intelligence(AI). Technology convergence map was created after extracting USPTO patent grants and Web of Science data and generating matrics in the field of AI. Several Indicators were obtained by extracting and calculating SCOPUS Data that KISTI has. According to USPTO patent grants, it shows that AI technology has a strong relationship with several sectors such as cost/price determination, image analysis, and surgery, etc. Also, AI has a active convergence with some fields of Electrical and Electronic Engineering, BioTechnologies, and Medicine etc. According to country profile analysis, Korea reaches a global average growth index. However, in terms of specialization index (SI) and average of relative citations (ARC), there is a large gap between Korea and research leading countries.

• Proceedings of the Korea Water Resources Association Conference
• /
• 2011.05a
• /
• pp.298-298
• /
• 2011

다양한 수문학적 순환 성분들의 영향을 받는 유역의 포화과정은 토양층의 공간적 이질성과 맞물려 매우 복잡한 거동특성을 보이는 것으로 알려져 왔다. 이와 관련하여 주목해 볼 만한 지형인자 중의 하나로서 지형지수(topographic index)를 들 수 있다. 지형지수는 TOPMODEL의 주요한 입력변수 중의 하나로서 그 공간적 분포에 따라 유역의 상대적인 포화도를 용이하게 평가할 수 있는 객관적인 수단을 제공한다. 하지만 신뢰성 있는 지형지수의 산정은 상당히 까다로운 작업으로서 정확한 지형지수를 산정할 수 있는 절대적인 방법은 존재하지 않는 것으로 알려져 있다. 이는 지금까지 개발된 DEM을 기반으로 한 각종 흐름방향 모의기술의 수준이 아직 자연적인 지형형상을 완전히 반영하지 못함에 기인한다. 본 연구에서는 8-흐름방향방법의 단점을 보완하기 위하여 개발된 바 있는 $\infty$-흐름방향방법에 따라 지형지수를 산정하여 유역이 공간적으로 포화되어 가는 과정을 모의하여 보았다. $\infty$-흐름방향방법은 각도의 형태로 흐름방향을 산정하여 고정된 흐름방향의 구속에서 벗어남과 동시에 최소한의 흐름분산(flow dispersion) 모의를 허용하여 유역규모의 포화과정을 효율적으로 모의할 수 있는 수단으로 판단된다. 대상유역으로는 설마천 유역을 선택하였으며 지형분석 과정에는 Arc GIS를 기반으로 운용되는 software 중의 하나인 TauDEM을 적용하였다. 아래 그림은 각각 포화도 20%, 50%, 90%에 해당하는 포화역을 도시한 것으로 하천망으로 중심으로 유역이 공간적으로 포화되어 가는 과정을 효율적으로 나타내고 있음을 확인할 수 있다. 본 연구를 통하여 제시되는 방법론은 자연유역의 유출응답 속에 내재하는 동적특성이나 비선형특성에 대한 체계적인 접근을 가능하게 하는 효율적인 수단을 제공할 수 있을 것으로 기대된다.

• Journal of KIISE:Databases
• /
• v.27 no.1
• /
• pp.13-21
• /
• 2000

Online analytical processing (OLAP) systems are introduced to support decision support systems. Many researches focussed on efficient processing of aggregate functions that usually occur in OLAP queries. However, most previous researches in the literature are deal with the situation in which aggregate functions arc applied to all the values in a given range. Since those approaches utilize characteristic of aggregate functions applied to a range, they are difficult to be applied to a muitipoint query that is a query considering only some points in a given range. In this paper, we propose the Ranking Index and the flanking Decision Tree (RDT) for efficient evaluation of multipoints MAX/MIN queries. The ranking of possible MAX/MIN values are computed with RDT Then MAX/MIN values can be acquired from the Ranking Index. We show through experiments that our method provides high performance in most situations. In other words, the proposed method is robust as well as efficient. A single common set of precomputed results for both MAX and MIN values is another advantage of the proposed method.

• Korea Journal of Hospital Management
• /
• v.5 no.2
• /
• pp.40-58
• /
• 2000

Nurses are medical personnel, who play a key role in supporting patient care, so it is important to supply them adequately in balance with ever increasing medical demand. But there appears severe shortage of nurses in some hospitals because of their uneven distribution, especially in small sized-hospitals and rural-hospitals. As nationwide distorted distribution of nurses in Korea is just like what monopsony model(a kind of market structure model) tells us, it is attempted to explain this situation of nurse labor market in Korea on the basis of monopsony model and presented in this paper. Specifically, determinants of nurse wage and the level of their relative employment were examined, and monopsony impact on their wage and the level of relative employment controlling those determinants were studied. Major results of this study arc as follows. The most important determinant of nurse wage level in this study was the wage level of a local community where each hospital located Hospital owner's characteristics an educational function of each hospital were also important factors. With these factor controlled, it was found that monopsony power of each hospital was negativel associated with nurse wage level as expected. 1% increase in monopsony power of hospital(measured by Herfindah-Hirschman Index) reduced nurse wage by $5,674{\sim}19,19$ won(in Korean currency). With regard to the level of relative employment, the most important determinant wa the capacity for supplying nurses of the local community. Again, hospital owner characteristics and educational function of each hospital were also important. With these factors controlled, it was found that monopsony power of each hospital was negative associated with the number of nurses per bed, as expected. 1% increase in monopsony power of each hospital(again measured by Herfindah-Hirschman Index) reduced the number of nurses per 100 bed as much as $0.46{\sim}0.67$. In conclusion. structural factors of nurse labor market influence the instability of nurse labor supply in Korea. Further consideration for these market structural characteristics needed for policy making related to nurse resource allocation.

• Journal of Fisheries and Marine Sciences Education
• /
• v.23 no.3
• /
• pp.477-485
• /
• 2011

For the identifying of spatial distribution pattern, Moran's Index(I) which has the range of values from -1 to +1 is common method for the spatial autocorrelation measurement. When I is close to 1, all neighboring features have close to the same value, indicating clustered pattern. Conversely, if the spatial pattern is dispersed, I is close to -1. And I closing to 0 means spatially random pattern. However, this index equation is influenced by how defining the neighboring features for target feature. To compare and understand the difference of neighborhood definition methods, fixed distance neighboring method and Gabriel Network method were used for I. In this study, these two methods were applied to two marine environments with water quality data. One is Gwangyang Bay which has complex geometric coastal structure located in South Sea of Korea. Another is Uljin area adjacent to open sea located in east coast of Korea. The distances between water quality observed locations were relatively regular in Gwangyang Bay, however, irregular in Uljin area. And for the fixed distance method popular Arc GIS tool was used, but, for the Gabriel Network, Visual Basic program was developed to produce Gabriel Network and calculate Moran's I and its Z-score automatically. According to this experimental results, different spatial pattern was showed differently for some data with using of neighboring definition methods. Therefore there is need to choose neighboring definition method carefully for spatial pattern analysis.

• Journal of the Korean association of regional geographers
• /
• v.14 no.4
• /
• pp.367-381
• /
• 2008

The purpose of this paper is to analyze the change in the distribution and hierarchical structure of commercial land use. Tools for analyzing the spatial structure are index of concentration, coefficient of localization and location quotient. This research is applied to Daegu, focusing on the period 1985-2003. During the 1985-2003 period, the growth rate of commercial land use volume amounted to 330%, compared with a population growth rate of 118%. The biggest component of commercial land use is the retail sector. As the lodging, medical, transportation-warehouse and entertainment sectors have the propensity for concentration and comprise the specialized commercial areas in the suburbs, the other sectors arc evenly distributed. Jung-gu has functioned as a downtown core in the hierarchical structure of commercial areas. So, in the structure of commercial land use, Daegu has continued to be a single nuclear structure. But, Dongdaegu Station influence area has evolved into the second order center since 2000. This is the sign of change in spatial structure from single-nuclear pattern to multi nuclear pattern.