• The Journal of Korean Medicine
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• v.43 no.3
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• pp.27-35
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• 2022

Objectives: The purpose of this study is to investigate and analyze Korean domestic patents on aconiti ciliare radix and to identify the trend of aconitum tuber technology. Methods: To analyze the patent, a combinations of words such as "aconitum" or "korean aconite root" were used in search engine Kipris(www.kirpis.or.kr). The patents of aconiti ciliare radix were analyzed in three ways: year trend analysis, internatonal patent classification (IPC) code analysis related to content classification, and patent registration status analysis. Results: Among the patents found in the search results, 17 patents with significant contents were analyzed. Results showed that, first, patents were steadily registered until 2018, but recently there has been no new patent registration. Second, there were many patents related to efficacy verification and decoction method, and the number of IPC codes related to them was also high. Third, there are five patents maintaining the registration status, and they are patents related to the aconiti ciliare radix extraction method, toxicity removal, and combination method. Conclusions: In this study, the domestic patents of aconiti ciliare radix were analyzed. The analysis results of this study are expected to be exploited as basic data for the development of Korean medicine analgesics with fewer side effects by suppressing tuber toxicity and the creation of new medical technologies.

• Proceedings of the Korea Water Resources Association Conference
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• 2021.06a
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• pp.356-356
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• 2021

기존의 태화강 유역 홍수예보는 수문학적 홍수예측모형을 이용하여 수행되어왔다. 본 연구에서는 보와 같은 하천 횡단구조물과 지류 및 하류단 조위의 배수영향을 고려하지 못하는 등 기존 수문모형의 단점을 보완하고자 태화강 유역에 대한 1차원 수리학적 홍수예측모형을 신규 구축하였다. 대상 지역인 태화강 유역은 울산광역시 울주군 언양읍 언양천 합류지점부터 울산광역시 삼호교까지의 지방하천 구간과 삼호교부터 태화강 하구까지의 국가하천 구간으로 구분하여 관리되다가, 최근 지방하천의 정비가 미흡하고 기후변화에 따른 침수피해가 증가되어 국가재정 투자로 정비를 시행하고자 2020년부터 전구간이 국가하천으로 승격되었다. 수리학적 홍수예측모형 구축 대상구간은 울산시(사연교) 수위관측소부터 태화강 하구까지 20.913km 구간에 105개 단면으로 구성하였다. 그리고 구축된 모형을 2012년 태풍 산바, 2019년 태풍 미탁 사상으로 보정 후 2020년 장마 사상으로 검증을 실시하였다. 신규 구축한 태화강 수리학적 홍수예측모형을 통해 모의한 결과 2009년 지방하천 구간, 2013년 국가하천 구간의 하천기본계획 횡단면 자료를 이용함으로써 2012년 사상은 실제 수위를 정확히 모의했지만, 최근 사상은 정확도가 저하되는 것으로 나타났다. 정확도 저하의 원인을 파악하기 위해 하천기본계획, 수문조사 연보 등을 통해 관측소의 이설 및 수위-유량관계곡선의 변동사항 등을 조사하였고, 하상퇴적으로 인한 지형변화가 발생한 것으로 추측하였다. 본 연구에서는 현재 재수립중인 하천기본계획의 측량자료가 생산되기 전에 기수립된 계획의 단면 자료를 이용하여 홍수예보 업무가 가능하도록 하고자 지형변화를 조도계수를 통해 간접적으로 반영하였다. 본 연구의 성과를 이용하여 태화강 유역의 홍수예보 정확도 향상과 태화강 국가정원과 같은 이용객이 많은 친수지구에 대한 홍수정보를 제공할 수 있을 것이다.

• Proceedings of the Korea Water Resources Association Conference
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• 2020.06a
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• pp.79-79
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• 2020

기존과 현행 수자원 관련 의사결정은 법, 정책 및 규정의 틀에서 이루어진다. 그러나 우리나라에서 재현되고 있는 물의 사회적 현안과 갈등들을 생각할 때 이들 의사결정을 위한 틀이 충분한 역할을 하고 있는가에 의문을 제시하고 다른 길을 모색할 필요가 있다. 본 논문은 물 의사결정과 행동을 주도하기 위한 기존 틀의 보완책 또는 새로운 대안으로 섬진강 유역의 수자원 이용 사례를 통하여 물 윤리의 도입과 제도화를 제안한다. 물 윤리(water ethics)는 물 정책, 관리 및 실무 등 실제행동의 복잡한 환경에서 우리의 가치를 적용하기 위해 채택하는 원칙이다. 대부분 물 윤리적 행동선택은 여러 개의 상충되는 가치를 포함하고 있어 원칙이 필요하며, 존중할 가치와 무시할 가치를 선택해야한다. 또한 이러한 가치 결정을 신속하고 효율적으로 수행하여 물 갈등해소를 지원할 필요가 있다. 물 윤리의 가치 영역은 환경, 사회, 경제, 문화, 거버넌스 등 5개로 분류할 수 있다. 섬진강 유역에는 1960년 이후 경제발전을 위하여 섬진강댐, 주암댐, 보성강댐, 동복댐, 동화댐 등 6개의 댐이 건설되었고, 이들 댐에서 확보한 수량의 60%는 섬진강 유역 외의 생·공용수, 농업용수 및 발전용수로 도수되고 있다. 송정지점을 기준으로 연평균 유출량은 댐건설 전·후에 40%로 감소한 것으로 추정되었다. 물 윤리 차원에서 이들 정책은 1960년 정부가 추구했던 경제 가치에 최우선하는 물 관리라고 할 수 있다. 이러한 물 관리는 하류로 흘러가는 수량의 부족을 초래하여 하구 생태계 훼손을 초래하였다. 특히 하구 기수역에서 상류 유입량 감소로 인한 염수의 유입으로 재첩의 생태환경이 악화되어 전통적인 재첩채취 어업문화를 이루어 왔던 어민들이 고충을 겪고 있다. 물 윤리 차원에서 섬진강의 물 관리는 경제와 함께 환경, 사회, 문화 및 거버넌스 가치의 비중을 높일 필요가 있다. 또한 하구의 환경생태 가치 보전에 필요한 환경유량을 확보하기 위해 공업용수와 농업용수 이용 효율성(재이용, 절약, 경제성), 생활용수의 수요관리, 공급시설의 최적 운영 전략을 물 윤리적 차원에서 평가해야한다. 최종적으로 확보된 환경유량의 효과적 활용을 위하여 그동안 물 관리에서 소외되었던 어민을 포한한 지자체, 수공·농어촌공사·한수원 물 관리기관, 중앙정부 등 이해관계기관의 거버넌스 가치를 높여야한다.

• The Journal of Bigdata
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• v.7 no.2
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• pp.139-152
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• 2022

Engineering's work area for plants is a technical area that directly affects productivity, performance, and quality throughout the lifecycle from planning, design, construction, operation and disposal. Using the different types of data that occur to make decisions is important not only in the subsequent process but also in terms of cyclical cost reduction. However, there is a lack of systems to manage and analyze these integrated data. In this paper, we developed a knowledge base-based plant engineering analysis platform that can manage and utilize data. The platform provides a knowledge base that preprocesses previously collected engineering data, and provides analysis and visualization to use it as reference data in AI models. Users can perform data analysis through the use of prior technology and accumulated knowledge through the platform and use visualization in decision-support and systematically manage construction that relied only on experience.

• The Korean Journal of Applied Statistics
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• v.37 no.2
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• pp.239-253
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• 2024

This research applies both point-wise and pair-wise learning strategies within the learning-to-rank (LTR) framework to predict horse race rankings in Seoul. Specifically, for point-wise learning, we employ a linear model and random forest. In contrast, for pair-wise learning, we utilize tools such as RankNet, and LambdaMART (XGBoost Ranker, LightGBM Ranker, and CatBoost Ranker). Furthermore, to enhance predictions, race records are standardized based on race distance, and we integrate various datasets, including race information, jockey information, horse training records, and trainer information. Our results empirically demonstrate that pair-wise learning approaches that can reflect the order information between items generally outperform point-wise learning approaches. Notably, CatBoost Ranker is the top performer. Through Shapley value analysis, we identified that the important variables for CatBoost Ranker include the performance of a horse, its previous race records, the count of its starting trainings, the total number of starting trainings, and the instances of disease diagnoses for the horse.

• Journal of Korea Society of Industrial Information Systems
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• v.29 no.1
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• pp.31-48
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• 2024

The domestic automotive industry must consider a strategic shift from traditional automotive component manufacturing to align with future trends such as connectivity, autonomous driving, sharing, and electrification. This research conducted topic modeling on R&D projects in the future automotive sector funded by the Ministry of Trade, Industry, and Energy from 2013 to 2021. We found that topics such as sensors, communication, driver assistance technology, and battery and power technology remained consistently prominent throughout the entire period. Conversely, topics like high-strength lightweight chassis were observed only in the first period, while topics like AI, big data, and hydrogen fuel cells gained increasing importance in the second and third periods. Furthermore, this research analyzed the areas of concentrated investment for each period based on topic-specific government investment amounts and investment growth rates.

• Korean Journal of Mathematics
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• v.32 no.1
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• pp.43-57
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• 2024

Given a domain X and a collection H of functions h : X → {0, 1}, the Vapnik-Chervonenkis (VC) dimension of H measures its complexity in an appropriate sense. In particular, the fundamental theorem of statistical learning says that a hypothesis class with finite VC-dimension is PAC learnable. Recent work by Fitzpatrick, Wyman, the fourth and seventh named authors studied the VC-dimension of a natural family of functions ℋ'²_t(E) : 𝔽²_q → {0, 1}, corresponding to indicator functions of circles centered at points in a subset E ⊆ 𝔽²_q. They showed that when |E| is large enough, the VC-dimension of ℋ'²_t(E) is the same as in the case that E = 𝔽²_q. We study a related hypothesis class, ℋ^d_t(E), corresponding to intersections of spheres in 𝔽^d_q, and ask how large E ⊆ 𝔽^d_q needs to be to ensure the maximum possible VC-dimension. We resolve this problem in all dimensions, proving that whenever |E| ≥ C_dq^d-1/(d-1) for d ≥ 3, the VC-dimension of ℋ^d_t(E) is as large as possible. We get a slightly stronger result if d = 3: this result holds as long as |E| ≥ C_3q^7/3. Furthermore, when d = 2 the result holds when |E| ≥ C_2q^7/4.

• Korean Journal of Mathematics
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• v.32 no.3
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• pp.381-406
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• 2024

The logistic growth model was developed with a single population in mind. We now analyze the growth of two interdependent populations, moving beyond the one-dimensional model. Interdependence between two species of animals can arise when one (the "prey") acts as a food supply for the other (the "predator"). Predator-prey models are the name given to models of this type. While social scientists are mostly concerned in human communities (where dependency hopefully takes various forms), predator-prey models are interesting for a variety of reasons. Some variations of this model produce limit cycles, an interesting sort of equilibrium that can be found in dynamical systems with two (or more) dimensions. In terms of substance, predator-prey models have a number of beneficial social science applications when the state variables are reinterpreted. This paper provides a quick overview of numerous predator-prey models with various types of behaviours that can be applied to ecological systems, based on a survey of various types of research publications published in the last ten years. The primary source for learning about predator-prey models used in ecological systems is historical research undertaken in various circumstances by various researchers. The review aids in the search for literature that investigates the impact of various parameters on ecological systems. There are also comparisons with traditional models, and the results are double-checked. It can be seen that several older predator-prey models, such as the Beddington-DeAngelis predator-prey model, the stage-structured predator-prey model, and the Lotka-Volterra predator-prey model, are stable and popular among academics. For each of these scenarios, the results are thoroughly checked.

• The Sea:JOURNAL OF THE KOREAN SOCIETY OF OCEANOGRAPHY
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• v.4 no.1
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• pp.33-39
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• 1999

In order to understand the importance of tidal action and $NH_4{^+}$ -nitrification in the removal of dissolved oxygen (DO) and $NH_4{^+}$, concentrations of DO, $NH_4{^+}$, $NO_2{^-}$ and $NO_3{^-}$ were measured with time for water samples collected at different tidal state in the eutrophic macrotidal Han River estuary. Field measurements indicated that most environmental parameters, except for the water temperature and DO concentration, were tightly controlled by the eutrophic freshwater runoff and large-scale tidal action. Dark incubation of the water sample at $25^{\circ}C$ showed that the removal rates of DO and $NH_4{^+}$ in high tide sample were 2.76 ${\mu}M\;O_2\;d^{-1}$ and 1.76 ${\mu}M\;N\;d^{-1}$ respectively, and increased to 5.66 ${\mu}M\;O_2\;d^{-1}$ and 3.36 ${\mu}M\;N\;d^{-1}$ respectively, in low tide sample. These changes indicated that microbial degradation and uptake of organic matter and inorganic nutrients were more active during low tide. $NH_4{^+}$-nitrification responsible for total DO removal in low tide (23.81%) and $NH_4{^+}$ turnover rates due to $NH_4{^+}$-nitrification in low tide (0.18 $d^{-1}$) were approximately 3.7 times and 3 times, respectively, higher than those in high tide. These results indicated that $NH_4{^+}$ -nitrifying bacteria introduced into the Han River estuary during low tide played a significant role in the removal of DO and $NH_4{^+}$. The decreasing removal rates in DO and $NH_4{^+}$ with the increasing tidal level seemed to be associated with the salinity impact on the halophobic freshwater $NH_4{^+}$-nitrifying bacteria. The results implied that anthropogenic $NH_4{^+}$ sources should be treated prior to the freshwater runoff into the estuary for the effective control of $NH_4{^+}$ in the Han River estuary. These results also suggest that parallel ecological studies on the chemoautotrophic nitrifying bacteria are essential for the elucidation of nitrogen cycles in the eutrophic Han River estuary.

• Korean Journal of Ecology and Environment
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• v.39 no.4 s.118
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• pp.462-470
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• 2006

The zooplankton community dynamics and grazing experiments was evaluated along a 40 km section of the lower Seomjin river system. Zooplankton was sampled twice a month from January 2005 to June 2006 at three sites (River mouth; RKO, Seomjin bridge: RK12 and Gurae bridge: RK36) in the main river channel. During the study period, the values of most limnological parameters in the three sites were fairly similar, except for conductivity. Annual variation of conductivity in River mouth and Seomjin bridge was more dramatic than which of the other site. There were statistically significant spatial and seasonal differences in zooplankton abundance (ANOVA, P<0.01). Total abundance of major zooplankton groups at both stations was much higher than in Gurae bridge. Among the macrozooplankton, cladocerans abundance was negligible in study sites during study periods. Community filtering rates (CFRs) for phytoplankton and bacteria varied from 0 to 50 mL $L^{-1}\;D^{-1}$ and from 0 to 45 mL $L^{-1}\;D^{-1}$, respectively. The spatial variation of CFRs for phytoplankton was significant (ANOVA, P<0.05). The CFRs of copepods for phytoplankton and bacteria was much higher than that of cladocerans at study sites. Total zooplankton filtering rates on bacteria were slightly lower than filtering rates on phytoplankton. The CFRs of microzooplankton (MICZ) for bacteria were much higher than for macrozooplankton (MACZ) at all sites. Considering the total zooplankton community, MICZ generally were more important than MACZ as grazers of bacteria and phytoplankton in freshwater zone, while MACZ were more important than MICZ as grazers of phytoplankton in brackish zone.