• Title/Summary/Keyword: 최근린

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Analysis of Temporal and Spatial Distribution of Traffic Accidents in Jinju (진주시 교통사고의 시계열적 공간분포특성 분석)

  • Sung, Byeong Jun;Bae, Gyu Han;Yoo, Hwan Hee
    • Journal of Korean Society for Geospatial Information Science
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    • v.23 no.2
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    • pp.3-9
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    • 2015
  • Since changes in land use in urban space cause traffic volume and it is closely related to traffic accidents. Therefore, an analysis on the causes of traffic accidents is judged to be an essential factor to establish the measure to reduce traffic accidents. In this regard, the analysis was conducted on the clustering by using the nearest neighbor indexes with regard to the occurrence frequencies of commercial and residential zone based on traffic accident data of the past five years (2009-2013) with the target of local small-medium sized city, Jinju-si. The analysis results, obtained in this study, are as follows: the occurrence frequency of traffic accidents was the highest in spring and the lowest in winter respectively. The clustering of traffic accident occurrence at nighttime was stronger than at daytime. In addition, terms of the analysis on the clustering of traffic accident according to land use, changes according to the seasons was not significant in commercial areas, while clustering density in winter tended to become significantly lower in residential areas. The analysis results of traffic accident types showed that the side-right angle collision of cars was the highest in frequency occurrence, and widespread in both commercial areas and residential areas. These results can provide us with important information to identify the occurrence pattern of traffic accidents in the structure of urban space, and it is expected that they will be appropriately utilized to establish measures to reduce traffic accidents.

The Effect of Glossiness and Lattice Structure of Wax Matrixes on Using n-Parrafin and Branched Wax (직쇄 파라핀 왁스와 분지 왁스 사용에 따른 오일-왁스 겔에 미치는 왁스구조와 광택에 미치는 영향 연구)

  • Choi, Khee-Hwan;Son, Hong-Ha;Lee, Sang-Min
    • Journal of the Society of Cosmetic Scientists of Korea
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    • v.36 no.2
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    • pp.99-103
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    • 2010
  • Waxes, or long-chain hydrocarbons, may be obtained naturally from animals, vegetables, and mineral waxes, or may be synthesized. The oil-wax gels are widely applied to lots of cosmetics such as lipsticks. For example, the lipstick texture is strongly dependent on the glossiness of the oil-wax gels. Extensive research has been carried out to investigate the lattice structure of wax mixture in pure solvents (hydrocarbons) and defined mixtures. However, only a limited amount of work has been published on the lattice structure of wax matrixes in undefined mixtures. The objective of this study was to investigate the relationship between the lattice structure of ceresin wax and different wax mixtures and the glossiness of oil-wax gels. Recently visual factors such as the glossiness of skin are generally known as the words to express the beauty. The mechanism of glossiness has been suggested to understand the changes that occur in the lattice structure of the wax matrixes when they are forming gels and also the effects of the nature of solvent. The present work investigates the lattice structure of the wax matrixes and glossiness of oil-wax gels obtained from ceresin and microcrystalline wax as well as of the gels formed by different waxes in solvent.

A Study on Applying the Nonlinear Regression Schemes to the Low-GloSea6 Weather Prediction Model (Low-GloSea6 기상 예측 모델 기반의 비선형 회귀 기법 적용 연구)

  • Hye-Sung Park;Ye-Rin Cho;Dae-Yeong Shin;Eun-Ok Yun;Sung-Wook Chung
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.16 no.6
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    • pp.489-498
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    • 2023
  • Advancements in hardware performance and computing technology have facilitated the progress of climate prediction models to address climate change. The Korea Meteorological Administration employs the GloSea6 model with supercomputer technology for operational use. Various universities and research institutions utilize the Low-GloSea6 model, a low-resolution coupled model, on small to medium-scale servers for weather research. This paper presents an analysis using Intel VTune Profiler on Low-GloSea6 to facilitate smooth weather research on small to medium-scale servers. The tri_sor_dp_dp function of the atmospheric model, taking 1125.987 seconds of CPU time, is identified as a hotspot. Nonlinear regression models, a machine learning technique, are applied and compared to existing functions conducting numerical operations. The K-Nearest Neighbors regression model exhibits superior performance with MAE of 1.3637e-08 and SMAPE of 123.2707%. Additionally, the Light Gradient Boosting Machine regression model demonstrates the best performance with an RMSE of 2.8453e-08. Therefore, it is confirmed that applying a nonlinear regression model to the tri_sor_dp_dp function during the execution of Low-GloSea6 could be a viable alternative.

Construction of Three Dimensional Soil Cadmium Pollution Map Using Geotechnical Information DB System (국토지반정보시스템을 이용한 3차원 토양오염지도 구축)

  • Hwang, Dae Young;Kang, In Joon;Jang, Yong Gu;Kim, Soo Kyum
    • Journal of Korean Society for Geospatial Information Science
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    • v.24 no.4
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    • pp.13-19
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    • 2016
  • This study presented the build-up of three-dimensional soil pollution map for precise analysis. To do this, survey on the existing pollutant region on Dongnae-gu, Busan that is the study subject, showed that it tended to produce 0.72 clusters. So, this study suggested to investigate center of $1km{\times}1km $ grid and, as the results of comparing the pollution map that input pollution figure values based on the actually investigation point showed precise results. And, it divided the standard of pollution into 5 levels in surface and underground space and the map was built up using IDW interpolation against the amount of polluted substance. The pollution of ground surface, flow of polluted substance, coefficient of permeability and ground water level that are 504 geotechnical informations were selected as the influential parameters in pollution analysis of underground space, and it calculated that to 0~20 points by dividing the characteristics. It enables the build-up of pollution map of ground surface-underground with depth that considers the characteristics of soil layers and it is considered that it is possible to analyze the general infiltration. And, it was considered that it enables more accurate forecast about influential analysis per depth and pollution of underground water.

Lean Startup Application Study in the Healthcare Industrial point of View : The Case of Humedix Corporation (헬스케어산업 관점에서 본 린스타트업 적용 사례연구: (주)휴메딕스 사례를 중심으로)

  • Lim, Sung-Hoon;Kim, Yong-Tae
    • Asia-Pacific Journal of Business Venturing and Entrepreneurship
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    • v.10 no.3
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    • pp.99-109
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    • 2015
  • The investment in healthcare industry has recently increased not only for global ventures but also for the domestic ventures. However, there has been hardship of founding and investment caused by healthcare startups characteristics that are costly and time consuming. In this study, the applicability of 'Lean Startup' theory to healthcare ventures was explored through the case of a domestic startup which accomplished funding from VC and KOSDAQ after establishing based on its technology in healthcare industry. There have been numerous case studies that applied 'Lean Startup' to IT industry. However, this case study that applied 'Lean Startup' to healthcare industry have some implications as follow: First, it is critical to conduct a hypothesis testing at initial research stage through R&D of 'MVP' (Minimum Viable Product) as the prototype testing is strictly prohibited in healthcare industry. Second, healthcare R&D teams ought to be well organized as startup teams and all researchers should be equipped with entrepreneurship as the licensing process in healthcare industry is time-consuming and costly due to issues like clinical studies. Lastly, management skills as smart and light as 'Lean Startup' are required in order to encourage young engineers' technology startups.

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Optimizing Maillard Reaction for Development of Natural Seasoning Source Using Oyster Hydrolysate (굴 가수분해물을 이용한 천연조미소스 개발을 위한 마이얄 반응의 최적화)

  • Ryu, Tae-hyun;Kim, Jin-hee;Shin, Jiyoung;Kim, Hyeon-jeong;Yang, Ji-young
    • Journal of Life Science
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    • v.26 no.11
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    • pp.1269-1274
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    • 2016
  • The oyster is called "milk of sea" which is abundant in taurine, glycogen, cellenium. It could be used in making natural source. Recently, consumers have more interest in natural source because of their diverse preference and its special taste. The goal of this study is to optimize maillard reaction condition for manufacturing natural seasoning using oyster and oyster cooking drip hydrolysate. The result was judged by browning degree and pyrazine, which is flavor components when food heating. Hydrolysate and sugar react according primarily to type of sugar - glucose, xylose and fructose. Xylose was selected as best sugar of browning degree. In the case of sugar contents, all conditions over 1% of sugar contents are almost same. Therefore, the lowest 1% of sugar was selected as appropriate condition. According to the reaction with different temperature, browning degree and pyrazine contents had been increased over $60^{\circ}C$, but the product at $120^{\circ}C$had off-flavored. So, $100^{\circ}C$ is the best condition for the browning reaction. And in accordance with different reaction time, after 6 hours, there was no change in pyrazine and browning reaction. Therefore, to manufacture natural seasoning source, it is optimal to react xylose for maillard reaction at $100^{\circ}C$ for 6 hr with hydrolysate of oyster and oyster cooking drip.

Evaluation of Rutting Resistance and Moisture Sensitivity of Warm-Mix Asphalt Mixtures Using the Model Mobile Loading Simulator(MMLS3) (소형 포장 가속시험기를 이용한 중온 아스팔트 혼합물의 소성변형저항성 및 수분민감도 평가)

  • Lee, Jae-Jun;Kim, Yong-Joo;Yang, Sung-Lin;Kwon, Soo-Ahn;Hwang, Sung-Do
    • International Journal of Highway Engineering
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    • v.13 no.2
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    • pp.41-48
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    • 2011
  • Warm-mix asphalt(WMA) technology has been developed to allow asphalt mixtures to be produced and compacted at a significantly lower temperature. The WMA technology was identified as one of means to lower emissions for $CO_2$ and has been spread so quickly in the world. Recently, two innovative WMA additives has been developed to reduce mixing and paving temperatures applied in asphalt paving process in Korea. Since the first public demonstration project in 2008, many WMA projects have successfully been constructed in national highways. In 2010, the WMA field trial was conducted on new national highway construction under Dae-Jeon Regional Construction Management Administration. The two different WMA loose mixtures(WMA and WMA-P) and a HMA mixture were collected at the asphalt plant to evaluate their mechanical performance in the laboratory. The Third-scale Model Mobile Loading Simulator(MMLS3) was adopted to evaluate rutting resistance and moisture damage under different traffic and environmental conditions. In this study, plant-produced WMA mixtures using two WMA additives along with the conventional hot mix asphalt(HMA) mixtures were evaluated with respect to their rutting resistance and moisture susceptibility using MMLS3. Based on the limited laboratory test results, plant-produced WMA mixtures are superior to HMA mixtures in rutting resistance and the moisture susceptibility. The WMA additive was effective for producing and compacting the mixture at $30^{\circ}C$ lower than the temperature for the HMA mixture.

Modeling of Friction Characteristic Between Concrete Pavement Slab and Subbase (콘크리트 포장 슬래브와 보조기층 간 마찰특성 모형화)

  • Lim, Jin-Sun;Son, Suk-Chul;Liu, Ju-Ho;Jeong, Jin-Hoon
    • International Journal of Highway Engineering
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    • v.12 no.4
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    • pp.211-218
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    • 2010
  • Volume of concrete slab changes by temperature and moisture effects. At that time, tensile stress develops because the slab volume change is restrained by friction resistance between the slab and subbase, and then crack occurs occasionally. Accordingly, researchers have made efforts to figure out the friction characteristics between the slab and subbase by performing push-off tests. Lately, researches to analyze concrete pavement behavior by the friction characteristics have been performed by finite element method. In this study, The friction characteristics between the slab and subbase were investigated based on the friction test results for lean concrete, aggregate, and asphalt subase widely used in Korean concrete pavements. The energy method bilinearizing relation between nonlinear friction resistance and displacement were suggested. The friction test was modeled by 3-D finite element program, ABAQUS, and the model was verified by comparing the analyzed results to the test results. The bilinear model developed by the energy method was validated by comparing analysis results obtained by using the nonlinear and bilinear friction resistance displacement relation as input data. A typical Korean concrete pavement was modeled by ABAQUS and EverFE and analyzed results were compared to evaluate applicability of the bilinear model.

Increasing Rates of Community Associated Methicillin-Resistant Staphylococcus aureus in Children with Muscular-Skeletal Infections in Korea: A Single Center Experience from 2000 to 2012 (소아의 근골격계 감염에서 지역사회 관련 메치실린 내성 황색 포도알균의 증가: 2000년 9월-2012년 8월간의 단일기관 연구)

  • Park, Jae-Hong;Lee, Taek-Jin
    • Pediatric Infection and Vaccine
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    • v.20 no.2
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    • pp.63-70
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    • 2013
  • Purpose : This study aimed to explore how prevalent the community-related methicillin-resistant Staphylococcus aureus (CA-MRSA) was in children with muscular-skeletal infections. Methods : We retrospectively reviewed the medical records of patients of 18 years or under who were diagnosed with suppurative arthritis or osteomyelitis and S. aureus from September 2000 through August 2012 at the CHA Bundang Medical center. Results : Thirty-one cases of suppurative arthritis or osteomyelitis were identified. The patients were between 17 days old and 18 years old with an average age of 7. Eleven cases (33.5%) of suppurative arthritis and 16 cases (51.6%) of osteomyelitis were observed. Five cases were accompanied by the two diseases. Methicillin sensitive S. aureus (MSSA) was isolated in 25 cases (80.6%) and methicillin resistant S. aureus (MRSA) was isolated in 6 cases (19.4%). Multidrug resistant strains were not observed. MRSA was not found from 2000 through 2005. All patients were treated with antibiotics and the duration of antibiotics treatment was $26.4{\pm}12.7$ days. Vancomycin was used as the initial antibiotic treatment in 4 cases (12.9%) and vancomycin was used as the definitive antibiotics in the 10 cases (32.3%). Conclusions : The result of this study showed that methicillin resistance rate of S. aureus from muscular-skeletal infections was concentrated in the latter half of the 12 year period.

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Application of The Dynamic Cone Penetrometer for Strength Estimation of Pavement Foundation (현장에서의 동적관입시험을 이용한 노상토의 지지력 평가연구)

  • An, Ji-Hwan;Yang, Sung-Lin;Park, Hee-Mun;Kwon, Su-Ahn
    • International Journal of Highway Engineering
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    • v.6 no.3 s.21
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    • pp.17-26
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    • 2004
  • The in-situ California Bearing Ratio (CBR) test has been widely used for evaluating the subgrade condition in asphalt concrete pavements. However, because the in-situ CBR test is expensive and takes plenty of time for operation, it is very difficult to figure out the in-situ characteristics of subgrade strength in detail. For faster and economical operation, the Dynamic Cone Penetrometer (DCP) has been often utilized for estimating the subgrade strength in the field. The relationship between the CBR value and DCP index obtained from the DCP testing has been studied using the laboratory and in-situ testing by other foreign researchers. The objective of this study is to determine the relationship between in-situ CBR value and DCP index of the subgrade materials used in Korea. The DCP index for evaluating the strength of subgrade materials produced in Korea is presented in this paper. Research results propose the regression equation to explain the relationship between the CBR and DCP tests. The in-situ CBR values of subgrade materials range from 20 to 45% indicating the good and sound subgrade condition.

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