• Journal of Korean Neurosurgical Society
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• 제57권1호
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• pp.19-22
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• 2015

Objective : Posttraumatic cerebral infarction (CI) is a well-known complication of traumatic brain injury (TBI). However, the causation and apportionment of trauma in patients with CI after TBI is not easy. There is a scoring method, so-called trauma apportionment score (TAS) for CI, consisted with the age, the interval, and the severity of the TBI. We evaluated the reliability of this score. Methods : We selected two typical cases of traumatic CI. We also selected consecutive 50 patients due to spontaneous CI. We calculated TAS in both patients with traumatic and spontaneous CI. To enhance the reliability, we revised TAS (rTAS) adding three more items, such as systemic illness, bad health habits, and doctor's opinion. We also calculated rTAS in the same patients. Results : Even in 50 patients with spontaneous CI, the TAS was 4 in 44 patients, and 5 in 6 patients. TAS could not assess the apportionment of trauma efficiently. We recalculated the rTAS in the same patients. The rTAS was not more than 11 in more than 70% of the spontaneous CI. Compared to TAS, rTAS definitely enhanced the discriminating ability. However, there were still significant overlapping areas. Conclusion : TAS alone is insufficient to differentiate the cause or apportionment of trauma in some obscure cases of CI. Although the rTAS may enhance the reliability, it also should be used with cautions.

• 경영과정보연구
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• 제30권1호
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• pp.71-86
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• 2011

현행 지방세법시행령 89조에서 둘 이상의 시 군에 있는 법인의 사업장에 대하여 법인세할 주민세를 부과하는 경우 안분계산의 기준을 종업원 수와 건축물 연면적으로 하도록 하고 있다. 이러한 안분방법에 의할 경우 사업연도종료일 현재 사업장이 완료되어 철수한 사업장에 대해서는 법인세할 주민세가 안분에서 제외되는 문제점이 있다. 본 연구는 이러한 안분방법의 문제점을 보완하기 위해 사업연도 종료일 기준에서 사업연도기간중의 사업장별 월별 종업원 수 합과 월별 건축물 연면적의 합계로 안분하는 방법으로 변경하고, 매출액에 기준에 의한 안분방법을 추가하는 방법을 제시함으로써 세원이 보다 형평성 있게 배분이 되는지를 살펴보았다. '사업연도종료일 현재'의 개념을 '사업연도기간 중'으로 개정함으로써 과세형평성을 도모하고 사업기간중의 정의를 '전년도 사업기간종료일부터 당해 연도 사업기간종료일까지의 계속사업기간'으로 하여 기간을 월별로 산정하는 방향으로 개선함으로써 현 지방세법에 의한 지방세배분 방법보다 더 명확하고 형평성 있는 세원배분이 이루어질 수 있을 것이다.

• 한국환경과학회지
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• 제17권4호
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• pp.359-364
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• 2008

PM10 samples were collected from July 2007 to Oct. 2007 at Gwaebopdong(inland area) and Dongsamdong(coastal area), in Busan. This paper investigates the contribution of emission sources to PM10 mass in Busan. Source apportionment results derived from the chemical mass balance(CMB) method. A source profiles applied in this study is organized to minimize the collinearity among sources type via statistical method. Source profiles applied in this study utilized a measured value of fine particle directly sampled from metropolitan area such as Seoul and Incheon, After a CMB modeling, sulfate and nitrate related sources among those contributing to PM10 in Busan showed high contribution by 36.53% in Gwaebopdong and 42.02% in Dongsamdong.

• 한국건설관리학회논문집
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• 제24권1호
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• pp.12-20
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• 2023

국내에서 관행적으로 사용되어온 간편법에 의한 공기지연 분석시 발주자와 계약자의 지연일수 산정은 동시발생 공기지연의 영향과 돌관공사의 수행의 영향을 반영하지 못하는 한계가 있으며, 양 당사자에 대한 지체상금의 부과에 있어서도 문제를 가져왔다. 본 연구에서는 지체상금에 대한 국제 판례를 분석하고, 발주자와 계약자의 지연일수의 비율을 적용하여 지체상금을 부과하는 기존 방식의 문제점을 국제 기준과 비교하여 분석되었다. 공기지연 분석의 문제점과 이를 기반으로 한 지체상금 산정의 문제점을 개선하기 위해서는 공기지연 분석에 있어서 발주자 지연, 계약자 지연, 동시발생 공기지연을 분석하고, 돌관공사의 영향을 고려한 종합적인 공기지연에 대한 귀책 분석이 필요하며, 지체상금의 부과에 있어서 발주자의 귀책에 의한 지연일수와 동시발생 공기지연 일수를 합한 기간 만큼 준공기한을 연장하고, 그 이후에 발생된 지연에 대하여 지체상금을 부과하는, 국제기준에 부합하는 지체상금 부과 방안을 제시하였다. 본 연구의 결과는 기존 관행적으로 수용되어 오던 실무 공기지연분석 및 지체상금 산정의 문제점을 개선하는데 기여할 수 있을 것으로 기대된다.

• 한국대기환경학회지
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• 제25권2호
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• pp.154-166
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• 2009

In this study, 1-hour integrated $PM_{2.5}$ mass and chemical composition concentrations were monitored at the St. Louis-Midwest Supersite in Illinois. Time-resolved samples were collected one week in each of June 2001 (22 June to 28 June), November 2001 (7 November to 13 November), and March 2002 (19 March to 25 March). A total of 427 samples were collected by CAMM (continuous ambient mass monitor) and 15 compounds were analyzed by AAS, PILS (particle-into-liquid sampler), and TOT (thermal optical transmittance) method. PMF was applied to identify the sources and apportion the $PM_{2.5}$ mass to each source for highly time resolved data. In addition, the nonparametric regression (NPR) was applied to identify the predominant directions of local sources relative to wind direction. Also, this study performed compare the NPR analysis and location of actual local point sources at the St. Louis area. The PMF modeling identified nine sources and the average mass was apportioned to gasoline vehicle, road dust, zinc smelter, copper production, secondary sulfate, diesel emission, secondary nitrate, iron+steel, and lead smelter, respectively. These results suggested that this study results will be help for $PM_{2.5}$ source apportionment studies at similar metropolitan area, establish $PM_{2.5}$ standard, and establish effective emissions reduction strategies in Korea.

• 한국지능시스템학회:학술대회논문집
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• 한국퍼지및지능시스템학회 1998년도 추계학술대회 학술발표 논문집
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• pp.361-367
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• 1998

The main two applications of the Genetic Algorithms(GA) are the optimization and the machine learning. Machine Learning has two objectives that make the complex system learn its environment and produce the proper output of a system. The machine learning using the Genetic Algorithms is called GA machine learning or genetic-based machine learning (GBML). The machine learning is different from the optimization problems in finding the rule set. In optimization problems, the population of GA should converge into the best individual because optimization problems, the population of GA should converge into the best individual because their objective is the production of the individual near the optimal solution. On the contrary, the machine learning systems need to find the set of cooperative rules. There are two methods in GBML, Michigan method and Pittsburgh method. The former is that each rule is expressed with a string, the latter is that the set of rules is coded into a string. Th classifier system of Holland is the representative model of the Michigan method. The classifier systems arrange the strength of classifiers of classifier list using the message list. In this method, the real time process and on-line learning is possible because a set of rule is adjusted on-line. A classifier system has three major components: Performance system, apportionment of credit system, rule discovery system. In this paper, we solve the food search problem with the learning and evolution of an artificial ant using the learning classifier system.

• 국제학술발표논문집
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• The 2th International Conference on Construction Engineering and Project Management
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• pp.520-529
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• 2007

Apportioning responsibilities of concurrent delay to the owner and the contractor is a difficult task, due to the sophisticate nature both in the schedule and in the factors that cause the delay. This research attempts to develop a simplified yet systematic approach that can be used for a fair apportionment of concurrent delay. A concurrent delay is defined herein as when the contractor and the owner have both caused independent critical path delays during the same approximate time period. Incorporating the concepts of windows analysis and critical path method (CPM), the developed approach has three "windowing of delay" steps to quickly apportion the delay in each of these windows, and a fourth step to sum up those apportioned delays to obtain each party's final responsibilities. This developed approach is found to be simple and effective at this stage; it will be tested against real cases in the near future.

• 대한환경공학회지
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• 제32권2호
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• pp.155-164
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• 2010

고기구이 스모크와 같은 바이오매스 소각에서 발생하는 스모크는 도시의 미세먼지중 유기성 탄소물질을 구성하는 주요 오염원이다. 미세먼지의 오염원 기여도를 산출하기 위한 화학수지모델(Chemical Mass Balance:CMB)에서는 배출원 오염물분포자료(Source Profile)가 필수이다. 바이오매스를 비롯한 고기구이 스모크의 오염물분포자료를 작성하기 위하여 유기성 지표물질들을 분석하였다. 고기구이에서 발생한 스모크를 PM10 채취기로 채취하여 용매추출, 유도체화반응, 중수소가 함유된 표준물질을 투입하여 Gas chromatography/Mass Spectrometry(GC/MS)로 팔미트산, 스테아르산, 올레인산과 같은 지방산과 콜레스테롤, 다환방향족탄화수소를 측정하였으며, 동시에 PM10 필터시료의 유기성(OC) 및 원소성 탄소(EC)를 OCEC 분석기에 의하여 측정하였다. 쇠고기구이 스모크로부터 채취한 PM10시료의 OC에서 콜레스테롤, 총포화지방산, 불포화지방산의 함량은 0.056 wt%, 2.727 wt%, 0.278 wt%이며, 돼지고기 구이 스모크로부터 채취한 PM10시료의 OC에서는 0.062 wt%, 2.022 wt%, 0.438 wt%를 차지하고 있었다. 쇠고기와 돼지고기 구이 스모크 OC에서 총 PAH화합물의 함량은 0.116 wt%와 0.044 wt% 이었는데, 그중에 단일 화합물로서 benzo(a)pyrene은 0.0071 wt%와 0.0023 wt%이었다. 콜레스테롤을 기준으로 각 지표물질의 무게 비율은 외국에서 발표된 고기구이 배출원 오염물분포자료와 거의 일치하여 유기성 에어로솔의 오염원 기여도를 산출하는 배출원 오염물분포자료로서 사용할 수 있음이 확인되었다.

• 한국대기환경학회지
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• 제31권5호
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• pp.437-448
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• 2015

The purpose of this study is to present the source contribution of the fine particles ($PM_{2.5}$) in Chungju area using the CMB (chemical mass balance) method throughout the four seasons in Korea. The Chungju's annual average level of $PM_{2.5}$ was $48.2{\mu}g/m^3$, which exceeded two times higher than standard air quality. Among these particles, the soluble ionic compounds represent 54.2% of fine particle mass. Additionally, the OC concentration in Chungju stayed similar to other domestic cities, while the EC concentration decreased significantly compared to other domestic/international cities. The concentration of sulfur represented the highest composition (8%) among the fine particle compounds. According to the CMB results, the general trend of the $PM_{2.5}$ mass contributors was the following: secondary aerosols (50.5%: ammonium sulfate 26.5% and ammonium nitrate 24.0%) > gasoline vehicle (18.3%) > biomass burning (11.0%) > industrial boiler (6.0%) > diesel vehicles (4.4%). The contribution of the secondary aerosols was the main cause than others. This impact is assumed to be emitted from air pollutants of urban cities or neighbor countries such as China.

• 한국대기환경학회지
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• 제31권6호
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• pp.508-519
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• 2015

The objective of this study was to quantitatively estimate $PM_{2.5}$ source contribution in Gyeongsan. Ambient $PM_{2.5}$ samples have been collected on zefluor, quartz and nylasorb filter by $PM_{2.5}$ samplers of cyclone method from September 2010 to December 2012. Collected samples were analyzed for determining 17 inorganic elements, 8 ions, and 8 carbon components after pretreatment. Based on these chemical information, the PMF model was applied to estimate the quantitative contribution of air pollution sources. The results of the PMF modeling showed that the sources were apportioned by biomass burning source (15.5%), secondary sulfate source (16.0%), industry source (10.4%), soil source (7.0%), gasoline source (9.1%), incinerator source (10.4%), diesel emission source (11.0%), and secondary nitrate source (20.6%), respectively. To analyze local source impacts from various wind directions, the CPF analysis were performed using source contribution results with the wind direction values measured at the site.