• Title/Summary/Keyword: 연도별

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Accident Reduction Effects by year After Installation of Red Light Cameras (무인신호위반단속장비 설치 후의 연도별 사고감소 효과)

  • Kim, Tae-Young;Park, Byung-Ho
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.9 no.2
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    • pp.23-32
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    • 2010
  • Because ROTA(road traffic authority) analyzes the effects of accident reduction based on the data of 1-year after installation of RLC(red light camera), study of accident reduction effects over year after the installation of RLC is very short. This study deals with the traffic accident reduction during 3 years after the installation of RLC. The objective is to analyze the effects of accident reduction by year using EB method. In pursuing the above, the study uses the 951 accident data occurred at the 20 intersections which RLC are installed. The main results analyzed are as follows. First, the safety performance function (SPF) has been developed by the Poisson regression models which are statistically significant. Second, the results of an Empirical Bayes(EB) analyses showed that the accidents were reduced by the range from 2.73 to 38.75% after 1 year, from 6.85 to 47.36% after 2 year, and from 6.04 to 39.31% after 3 year from the installation of RLC.

A SNS Data-driven Comparative Analysis on Changes of Attitudes toward Artificial Intelligence (SNS 데이터 분석을 기반으로 인공지능에 대한 인식 변화 비교 분석)

  • Yun, You-Dong;Yang, Yeong-Wook;Lim, Heui-Seok
    • Journal of Digital Convergence
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    • v.14 no.12
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    • pp.173-182
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    • 2016
  • AI (Artificial Intelligence) has attracted interest as a key element for technological advancement in various fields. In Korea, internet companies are leading the development of AI business technology. Active government funding plans for AI technology has also drawn interest. But not everyone is optimistic about AI. Both positive and negative opinions coexist about AI. However, attempts on analyzing people's opinions about AI in a quantitative way was scarce. In this study, we used text mining on SNS (Social Networking Service) to collect opinions about AI. And then we performed a comparative analysis about whether people view it as a positive thing or a negative thing and performed a comparative analysis to recognize popular key-words. Based on the results, it was confirmed that the change of key-words and negative posts have increased through time. And through these results, we were able to predict trend about AI.

정보통신표준의 제$\cdot$개정 현황 및 표준 분석

  • 김선
    • TTA Journal
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    • s.53
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    • pp.34-37
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    • 1997
  • 본 고에서는 정보통신 표준화체계 일원화 및 단체표준제도부활에 따라 개정된 표준번호체계에 대한 소개와 함께 연도별, 분야별, 준거표준별로 현재까지 표준에 대한 분석을 통해 국내 표준제정현황에 대한 이해를 돕고자 한다.

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BTD Analysis around Corporate Tax Rate Changes (법인세율 변화기간의 연도별 BTD 분석)

  • Park, Su-Gyeong;Rui, Jia
    • Journal of Convergence for Information Technology
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    • v.10 no.1
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    • pp.75-81
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    • 2020
  • This study analyzed the annual difference of firm's book income, taxable income and BTD that before and after the 2009 corporate tax rate cut and 2018 corporate tax rate increase. ANOVA analysis was performed for each item by year, and post hoc was performed after homogeneity test of variance. The research results are as follows. First, the book income at corporate tax rate cut was higher than taxable income, and BTD in 2008 was significantly different from other years. Second, the book income at corporate tax rate increase was less than taxable income, and BTD in 2017 was also significantly different from other years. In other words, the firm is performing appropriate profit adjustments to reduce of tax burden when the corporate tax rate changes. Because of this, the BTD in the year immediately before the corporate tax rate change is different from other years.

Predicting Regional Soybean Yield using Crop Growth Simulation Model (작물 생육 모델을 이용한 지역단위 콩 수량 예측)

  • Ban, Ho-Young;Choi, Doug-Hwan;Ahn, Joong-Bae;Lee, Byun-Woo
    • Korean Journal of Remote Sensing
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    • v.33 no.5_2
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    • pp.699-708
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    • 2017
  • The present study was to develop an approach for predicting soybean yield using a crop growth simulation model at the regional level where the detailed and site-specific information on cultivation management practices is not easily accessible for model input. CROPGRO-Soybean model included in Decision Support System for Agrotechnology Transfer (DSSAT) was employed for this study, and Illinois which is a major soybean production region of USA was selected as a study region. As a first step to predict soybean yield of Illinois using CROPGRO-Soybean model, genetic coefficients representative for each soybean maturity group (MG I~VI) were estimated through sowing date experiments using domestic and foreign cultivars with diverse maturity in Seoul National University Farm ($37.27^{\circ}N$, $126.99^{\circ}E$) for two years. The model using the representative genetic coefficients simulated the developmental stages of cultivars within each maturity group fairly well. Soybean yields for the grids of $10km{\times}10km$ in Illinois state were simulated from 2,000 to 2,011 with weather data under 18 simulation conditions including the combinations of three maturity groups, three seeding dates and two irrigation regimes. Planting dates and maturity groups were assigned differently to the three sub-regions divided longitudinally. The yearly state yields that were estimated by averaging all the grid yields simulated under non-irrigated and fully-Irrigated conditions showed a big difference from the statistical yields and did not explain the annual trend of yield increase due to the improved cultivation technologies. Using the grain yield data of 9 agricultural districts in Illinois observed and estimated from the simulated grid yield under 18 simulation conditions, a multiple regression model was constructed to estimate soybean yield at agricultural district level. In this model a year variable was also added to reflect the yearly yield trend. This model explained the yearly and district yield variation fairly well with a determination coefficients of $R^2=0.61$ (n = 108). Yearly state yields which were calculated by weighting the model-estimated yearly average agricultural district yield by the cultivation area of each agricultural district showed very close correspondence ($R^2=0.80$) to the yearly statistical state yields. Furthermore, the model predicted state yield fairly well in 2012 in which data were not used for the model construction and severe yield reduction was recorded due to drought.

A Study on The Records of [The Book of Supernumerary Embryo Preservation] and [The Book of Supernumerary Embryo Donation] Enacted by "The Law on Bioethics and Safety" ("생명윤리 및 안전에 관한 법률"이 정해준 [잔여배아보관실적대장]과 [잔여배아제공실적대장]의 작성에 관한 연구)

  • Yoon, San-Hyun;Ko, Yong;Lim, Jin-Ho
    • Clinical and Experimental Reproductive Medicine
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    • v.34 no.4
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    • pp.253-273
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    • 2007
  • Objective: This study was to find ways to let a manager or superintendent rationally and consistently inspect as well as let a embryologist precisely record [The Book of Supernumerary Embryo Preservation] and [The Book of Supernumerary Embryo Donation]. Methods: Based on the data collected between 1994 and 2004 in Clinic 44 (Maria Fertility Hospital), [The Present State about Production and Use of Embryos], [The Preservation of Supernumerary Embryos and Their Thaw State], [The Present State about Thaw and Use of Frozen Embryos], [The Present State about Donation and Charge of Frozen Embryos], [The Book about Frozen Embryo Discard], and [The Summarization Book about Management and Use of Frozen Embryos] were designed and recorded. Results: The production, use, preservation, discard and donation quantity of human embryos, the use and discard quantity of thawed embryos, and the cumulative embryo preservation quantity could be totalized in [The Present State about Production and Use of Embryos in Clinic 44]. Also, [The Preservation of Supernumerary Embryos and Their Thaw State in Clinic 44] supported "the supernumerary embryo preservation quantity" etc. In addition, [The Present State about Thaw and Use of Frozen Embryos in Clinic 44] or [The Book about Frozen Embryo Discard in Clinic 44] supported "the use and discard quantity of thawed embryos" etc. Moreover, "The embryo donation quantity" could be totalized in [The Present State about Donation and Charge of Frozen Embryos in Clinic 44]. Finally, [The Summarization Book about Management and Use of Frozen Embryos in Clinic 44] could be used for rational and consistent management or inspection. Conclusion: The present results suggest that the documents not only be standard data to record [The Book about Supernumerary Embryo Preservation in Clinic] and [The Book about Supernumerary Embryo Donation in Clinic] but can also be preserved as treatment references.

A Study on Tendency of Industrial Accidents from 1979, in Korea

  • Yi, Geun Heui
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.3 no.3
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    • pp.1-12
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    • 1980
  • 우리나라는 근대화와 더불어 산업의 고도성장을 기약하면서, 예기치 못했던 산업재해로 말미암아, 많은 생명과 재산에 대해선 막대한 손실을 초래시키고 있다. 그러나 산업재해의 본질이 어디에 있고, 또 그것이 얼마나 크게 생산손실을 초래하고 있는지에 대해서 아직 과학적인 본질을 파악하고 있지 못하기 때문에 현실적으로 많은 재해손실을 감수하고 있는 것이 사실이다. 이와같은 입장에서 본 연구는 우린 1974년부터 1978 년에 이르는 5개년간의 한국 산업재해의 본질을 이해하고 앞으로의 산업합리화를 위해 그 대책을 강구해 보자는 것인데, 이를 위해서 본 연구는 1. 서론(문제의 제기) 가. 연구방법 나. 연구범위 2. 재해발생 상황 가. 78년도 재해 발생 상황 나. 연도별 산업 재해 추이 1) 5년간 추이(지수비교) 2) 전년도와 비교(% 비교) 라. 연도별 재해 발생율(재해도수율, 강도율, 천인율) 1) 재해도수율, 강도율 2) 천인율 라. 연도별 경제적 손실 3. 산업별 재해 가 산업별 재해 상황 나. 전년도와 비교 다. 산업별 재해 발생율 1) 재해도수율, 강도율 2) 재해년천인율 라. 산업별, 년도별, 재해도수율, 강도율, 천인율 1) 광업 2) 제조업 3) 건설업 4) 전기가스.수도업 5) 운수보관.통신업 마. 산업별, 정도별 재해 4. 재해원인 가, 원인별, 재해 발생 실태 나. 산업별 원인별 재해 발생 실태 5. 결론으로 고찰했으며 우리나라의 산업재해는 매년 상승되고 있다는 것이 고찰에서 나타났는데, 이와 같은 경향은 산업의 확산증대에도 영향이 없는 것은 아니지만 전제적으로 안전의식의 결핍이 가장 큰 요인인 것으로 판단된다. 따라서 공업입국에 의한 경제자립과 지속적인 번영을 위해서는 $\circled1$ 계수적인 합리주의를 강력히 배제하고 사실에 입각한 과학적인 안전대책을 수립해야 하며, $\circled2$ 안전기준을 포함하는 모든 법령을 재정비하고, 단속법령으로서의 그것보다는 지도계몽을 위한 관계법령을 조속히 제정해야 하며, $\circled3$ 안전의식을 계발하여, 모든 능률관리, 생산성 향상의 근원으로 삼아야 할 것이며, $\circled4$ 안전전문연구기관을 적극적으로 육성하여 산업재해의 본질적인 원인연명과 재해대책을 수립해야 할 것이다.

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Estimation of storm events frequency analysis using copula function (Copula 함수를 이용한 호우사상의 빈도해석 산정)

  • An, Heejin;Lee, Moonyoung;Kim, Si Yeon;Jeon, Seol;Ahn, Youngmin;Jung, Donghwa;Park, Daeryong
    • Proceedings of the Korea Water Resources Association Conference
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    • 2022.05a
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    • pp.200-200
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    • 2022
  • 본 연구에서는 총 강우량과 강우강도을 고려한 이변수 분석으로 연최대 호우사상을 선별하고, 두 변수를 Copula 함수로 결합하여 최적의 모델조합을 찾는 확률호우사상 산정 방법론을 제시하였다. 국내 69개 관측소의 2020년까지의 관측 자료를 대상으로 1mm 이하의 강우는 제거한 뒤, IETD(Inter-Event Time Definition) 12시간을 기준으로 강우자료를 독립적인 호우사상으로 분리하였다. 호우사상의 여러 특성 중 양의 상관관계를 갖는 총 강우량과 강우강도를 변수로 선택해 이변수 지수분포에 대입하였고, 각 지점의 연최대 호우사상 시계열을 생성하였다. 2변수 지수분포의 매개변수는 전체 기간과 연도별로 나누어 추정해 본 결과 연도별 변동성이 큰 것을 확인해 연도별 추정 방식을 선택하였다. 연최대 강우사상 시계열의 총 강우량과 강우강도는 극한 강우에 적용하는 확률분포형 중 Lognarmal, Gamma, Gumbel, GEV(Generalized Extreme Value), GPD(Generalized Pareto Distribution) 5가지를 사용하여 각각 CDF(Cumulative distribution Function) 값을 추정하였다. 계산된 CDF 값은 3가지 Copula 모형으로 결합해 joint CDF 값을 산출하였다. 총 75개의 모델조합 중 최적 모델을 찾기 위해 CVM(Cramer-von-Mises) 적합도 검정을 시행하였다. CVM의 통계량 Sn 값이 가장 작은 모델조합을 해당 지점의 최적 모델조합으로 선정하였다.

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The Fluctuations of Catches in Set Nets Around Kyeongbuk Province (강북연안 정치망 어획량 변동에 관한 연구)

  • Hong, Jeong-Pyo;Lee, Ju-Hee
    • Journal of the Korean Society of Fisheries and Ocean Technology
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    • v.31 no.2
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    • pp.153-165
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    • 1995
  • The fluctuations of catches in set nets around Kyeongbuk Province, the eastern coast of Korea, were analyzed and investigated by on the values of CPUE(Catch Per Unit Effort per hauling), and composition of dominant species caught from 1985 to 1989. Annual CPUE values were fluctuated every year, but their trends were decreased year by year, When the values were evaluated by species, the trends of annual catches were shown decreasing in file fish(Auteridae), mackerel(Scomber japonicus), tuna(Thunnus Thynnus), rock fish(Sebastes schlegelid) and yellowtail(Seriola quinqueradiata), increasing in sardine(Sardinops melanosticta), jack mackerel(Trachurus japonicus), and herring(Clupea pallasi), and similar in squid(Todarodes pacificus) and cuttle fish(Sepiidae). The main fishing season evaluated by monthly CPUE was estimated from August to November with a little difference by regions : from August to November at Chukpyon and Kanggu, from September to November at Chuksan and Kampo, and August to December in Hupo. When the DPUE values were analyzed by species, the main fishing seasons were quite different by species. Mackerel, jack mackerel, tuna, yellowtail, and rock fish were caught mainly from September to October, file fish and squid from November to January, sardine from April to May, herring in May, and cuttle fish in April. Annual catches were shown highest level in file fish and revealed higher by sardine, jack mackerel, mackerel, squid, tuna, and yellowtail in order. But the highest catches among each species were different with seasons, and that from January to July was sardine, from November to December file fish. The main migrating seasons of file fish, mackerel, squid, tuna, and cuttle fish at Chukpyon were a little earlier than at other regions. Though the migrating seasons of jack mackerel and tuna were almost same in every regions, that of sardine were shown 3 month's difference according to regions. In the year when the warm currents were stronger than those of the normal year and their isotherms were formed from the north to south along the eastern coastal line, the annual fish catches in set net were show higher levels.

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Estimation of Groundwater Discharge in Coastal Area II. Reliability Analysis (해안지역 지하수유출량의 평가 II. 신뢰성 분석)

  • Bae, Sang-Keun;Kim, Yong-Ho;Choi, Yun-Young
    • Proceedings of the Korea Water Resources Association Conference
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    • 2006.05a
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    • pp.1900-1904
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    • 2006
  • 선행연구를 통하여 평가된 지하수해안유출량에 대한 신뢰성분석을 유출량산정에 이용된 기초자료와 산정된 유출량에 대한 변화특성 및 불확실성분석을 통하여 수행하였다. 본 연구에서는 지역별, 연도별 그리고 계절별 지하수 해안유출량 변화특성을 분석하였으며 지하수 해안유출량의 변화는 지하수면 경사의 변화에 의하여 영향을 받음으로 지하수면 경사의 변화 특성으로부터 지하수 해안유출량 변화특성을 파악하였다. 그 결과, 상관성검정에서는 지표면 경사와 지하수면 경사는 양의 상관관계가 있음을 나타내었다. 지역별 차이는 있으나 지하수면 경사의 계절별, 연도별 차이는 나타나지 않음을 알 수 있었다. 지하수해안유출량을 산정하는데 필요한 자료 수가 정도 높은 계산을 하기에 충분하지 않아 산정된 유출량에 불확실성이 있다. 따라서 기존의 충분하지 않은 자료를 이용하여 산정한 지하수 해안유출량의 불확실성을 분석하였다. 자료의 분석결과, 주요 지역의 각 소유역별 지하수해안유출량의 불확실성은 $2%\sim42%$의 범위를 나타내었다. 각 소유역의 불확실성이 가장적은 지역은 영암지역 이고 각 소유역의 불확실성이 가장 큰 지역은 함평지역임을 나타내었다.

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