This study introduces and experimentally validates a novel approach that combines Instruction fine-tuning and Low-Rank Adaptation (LoRA) fine-tuning to optimize the performance of Large Language Models (LLMs). These models have become revolutionary tools in natural language processing, showing remarkable performance across diverse application areas. However, optimizing their performance for specific domains necessitates fine-tuning of the base models (FMs), which is often limited by challenges such as data complexity and resource costs. The proposed approach aims to overcome these limitations by enhancing the performance of LLMs, particularly in the analysis precision and efficiency of national Research and Development (R&D) data. The study provides theoretical foundations and technical implementations of Instruction fine-tuning and LoRA fine-tuning. Through rigorous experimental validation, it is demonstrated that the proposed method significantly improves the precision and efficiency of data analysis, outperforming traditional fine-tuning methods. This enhancement is not only beneficial for national R&D data but also suggests potential applicability in various other data-centric domains, such as medical data analysis, financial forecasting, and educational assessments. The findings highlight the method's broad utility and significant contribution to advancing data analysis techniques in specialized knowledge domains, offering new possibilities for leveraging LLMs in complex and resource- intensive tasks. This research underscores the transformative potential of combining Instruction fine-tuning with LoRA fine-tuning to achieve superior performance in diverse applications, paving the way for more efficient and effective utilization of LLMs in both academic and industrial settings.
Wastewater management is increasingly emphasizing economic and environmental sustainability. Traditional methods in sewage treatment plants have significant implications for the environment and the economy due to power and chemical consumption, and sludge generation. To address these challenges, a study was conducted to develop the Intermittent Cycle Extended Aeration System (ICEAS). This approach was implemented as the primary technique in a full-scale wastewater treatment facility, utilizing key operational factors within the standard Sequencing Batch Reactor (SBR) process. The optimal operational approach, identified in this study, was put into practice at the research facility from January 2020 to December 2022. By implementing management strategies within the biological reactor, it was shown that maintaining and reducing chemical quantities, sludge generation, power consumption, and related costs could yield economic benefits. Moreover, adapting operations to influent characteristics and seasonal conditions allowed for efficient blower operation, reducing unnecessary electricity consumption and ensuring proper dissolved oxygen levels. Despite annual increases in influent flow rate and concentration, this study demonstrated the ability to maintain and reduce sludge production, electricity consumption, and chemical usage. Additionally, systematic responses to emergencies and abnormal situations significantly contributed to economic, technical, and environmental benefits.
최근 노인 인구가 증가함에 따라, 이들의 삶의 질에 대한 사회적 관심도가 높아지고 있으며, 노인들의 건강하고 활기찬 노후를 고려하는 활동적 노후 및 고령친화도시의 개념이 주목받고 있다. 이러한 상황에서 많은 지자체는 노인들이 지역 사회에서 여생을 의미 있게 보낼 수 있도록 다양한 노인여가복지 서비스를 제공하기 위해 노력하고 있다. 그러나 실질적인 노인 수요에 부합하는 서비스 공급이 이루어지지 못하고 있으며, 지역별로 노인여가복지 서비스의 공간적 격차가 발생하고 있는 실정이다. 이는 노인여가복지 입지와 관련하여 체계적인 법적 기준이 부재하기 때문이다. 이에 본 연구는 서울시의 노인여가복지 시설에 대한 수요와 공급의 공간적 불일치성을 탐색하고, 공간 효율성과 형평성을 고려한 노인복지센터의 최적 입지 대안을 제시하고 있다. 연구 결과, 여러 입지 시나리오에 따라 서울시 노인복지센터의 공간적 접근성을 향상시킬 수 있는 다양한 최적 입지 대안들을 제시할 수 있었으며, 향후 노인복지 서비스 공급과 관련한 계획 및 정책에 있어 중요한 기초 자료로 활용될 수 있을 것으로 기대된다
ROK Navy intends to secure the Korean-type aircraft carrier in order to effectively prepare for various future security threats. In general, the Korean national competency is considered to be at the level of having an aircraft carrier, but it is unclear what scale aircraft carrier would be appropriate. In this study, the efficiency was evaluated through the relative comparison between national competency(national power, economic power) and the scale of aircraft carriers, and the optimal scale of the Korean-type aircraft carrier that could be acquired was presented. A DEA(Data Envelopment Analysis) model was applied to aircraft carriers(19 aircraft carriers in 11 countries) currently in operation and scheduled to be possessed in the world. As input variables, CINC(Composite Index of National Capability) and GDP(Gross Domestic Product), which are the most widely used as indicators of national and economic power, and as output variables, the full-load displacement, length, and width of aircraft carriers were selected. ARIMA(short-term within 5 years) and simple regression(long-term over 5 years) were used to estimate the future national competency of each country at the time of aircraft carriers acquisition. The relative efficiency score of the Korean-type aircraft carrier currently being evaluated is 1.062, and it was evaluated as small-scale aircraft carrier compared to the national competency. Based on Korean national competency, the optimal scale of the Korean-type aircraft carrier calculated by aggregating benchmark groups, is 58,308.1 tons of full-load displacement, 279.4m in length, and 68.3m in width.
도로 공사나 토지 공사에서 대규모 절성토 개발 시 설계되는 토량이동계획에서 호수나 습지와 같이 이동불가능한 제척지를 고려해 최적 토량이동 경로 계산 알고리즘을 제안한다. 대규모 절성토 내 토량의 이동계획 수립은 운반단가에 많은 영향을 미치므로 사전에 토량이동계획을 수립해야한다. 선형계획법을 이용한 토량이동 최적화에 대한 연구는 있었으나 이동불가능한 제척지에 대한 영역을 고려한 토량이동 최적화에 대한 연구와 시스템 구현은 없었다. 대부분의 경우는 설계자가 제척지를 고려해 수작업으로 토량이동경로를 조정하고 있다. 본 논문에서 제시한 모델은 먼저 제척지 영역을 평면다각형 위상정보로 변환한 후 A*알고리즘을 이용하여 여러 가시점 경로를 계산한다. 이 경로에 선형계획법을 이용하여 토량이동 최적화를 위한 최소비용 경로를 얻는다. 본 논문에서는 최적 토량이동 설계시스템을 실현함으로써 제시한 모델의 타당성을 입증한다.
The purpose of this paper is to study the subject of economic evaluation in respect of optimum ship size and basic design spiral for fishing vessels. The main ta나 is developed the methodology of engineering economic system in order to apply various methods and tools which may be utilized by the designer in his efforts to arrive at principal design characteristics of fishing vessels with optimum size. The design procedure has been modeled in mathematical form with CBR as an criteria and applied to the optimization method. The contents of the study are as follows (the special treatises).
Organic agriculture seeks sustainable agriculture. Organic agriculture is based on circulating agriculture of a family farm unit. However, as of the end of 2016, only 33 out of the total organic farming farms were implementing Crop-Livestock cycling organic farming. The reason seems to be a matter of income after all. The optimal size combination refers to the scale by which family farms can maintain their quality of life while engaging in farming activities. In other words. it is a farm scale that maintains optimal income through stable labor costs. In the meantime, there has been no previous study on the optimal economical combination of Crop-Livestock cycling farming. Choi (2016) analyzed whether the economies of scope (EOS) were realized in the combined production by using the management data of the farmers who practiced Crop-Livestock cycling organic farming for four years. As a result, it has been revealed that the EOS measurement value is 0 or more so the economies of scope are being realized. Therefore, the purpose of this empirical analysis is to identify farm incomes under this circumstance. It is assumed that the optimum production is achieved by balancing the total income curve and the total cost curve in the optimal scale production range. The results of the analysis are as follows. First, the income after the conversion to Crop-Livestock cycling farming was 44,789,280 won, the sum of the seedling-livestock sector, which was 17,873,120 won higher when the non-Crop-Livestock cycling farming was assumed. The same is true for 2014 and 2015. The reason for this is that pig droppings were composted from organic seedlings, and the cost of selling pork was 150,000 won/per pig more expensive even though the manufacturing cost of organic feeds was higher than the purchasing cost. Secondly, this study simulated the result that the economic index varies when the farm size combination is changed by the farm size of 100% standard (S100) as of 2014. S130 is the increase in size from 100% of 2014, whereas S30 is the result of 3ha crop and 66 livestock (pigs). As a result of this simulation, Crop-Livestock cycling farming income decreased more than non-Crop-Livestock cycling farming as the farm size decreased, whereas the income decreased as the farm size increased. When the size was reduced below S50, the income tended to decrease. In this situation, EOS changed in the same direction. The results showed that when the farming size was reorganized and reduced to 50% compared to 2014, the income and income difference was the highest. At the same time, economies of scope (EOS) were the highest at 0.12985. In other words, it was found that the income of farm houses in a family farm unit sector was the best in the combination of 1.5ha crop agriculture and 110 livestock (pigs).
본 논문에서는 최적화 기법의 하나인 유전자 알고리즘(Genetic Algorithm)을 도시유출해석모형인 SWMM(Storm Water Management Model) 5.0 DLL과 연계하여 최근에 활발히 진행 중인 도심지하저류지 조성사업과 관련한 최적의 위치와 규모를 선정하였다. 이에 따라 도시유역에서 지하저류지 사업의 진행시 중요하게 고려해야 할 설치 위치와 규모의 선정을 위해 가상유역에 적용하였으며, 각 위치와 규모의 결정에 따른 최적의 조합을 제안하였다. 또한 가장 큰 피해를 불러일으키는 집중호우의 경우를 고려하여 50년, 80년 및 100년 빈도의, 60분, 120분 및 180분의 지속기간을 갖는 다양한 초과강우사상을 적용하여 지하저류지의 위치에 규모의 최적 조합에 따른 월류량의 감소를 비교·확인하였다(표 1참조).
분석결과 적용된 가상 유역 내에서 월류량을 최소화하는 저류지의 최적위치와 규모를 선정해 본 결과, 1개의 저류지를 설치 할 경우 A8번 지점에 저류지를 설치하였을 때 월류량 감소효과가 가장 크게 나타났다. 또한 2개, 3개를 설치하였을 때 각각 A5, A8번과 A5, A7, A8번이 선정되었다. 선정된 위치를 보았을 때 공통적으로 A8번이 포함되어 있는 것으로 보아 주요 관리대상 지점임을 파악할 수 있다.
본 논문에서 제안한 최적화 알고리즘을 이용한 도심지하저류지의 최적위치와 규모 선정은 투수면적의 감소, 도달시간의 단축 등으로 인한 도시화 지역의 피해 감소 및 추후 정비 사업 계획 추진에 있어 위치와 규모의 결정으로써 활용될 수 있을 것이다.
유역단위의 통합적 치수계획은 고려되는 단위사업의 수가 많고 그 특성도 다양하므로 이들을 조합한 최적의 대안을 수립하기가 쉽지 않다. 최적의 대안수립을 위해서는 홍수피해를 산정하는 것뿐만 아니라 감내할 수 있는 피해의 수준을 결정해야만 한다. 이에 대한 결정은 큰 틀에서 '사회적 합의'라는 방식으로 도출되지만 일차적으로는 기술적으로 가능한 범주에서 경제적 효율성 측면의 분석을 필요로 한다. 본 연구의 목적은 각 단위사업들의 조합이 경제적 효율성을 갖도록
본 연구에서는 하천유역에서 소수력 개발 대상지점에서의 최적규모를 결정하는 방안을 제시하였다. 제시된 방안은 지형 및 수문자료의 구축, 발전소 모의운영, 경제성분석, 최적규모 결정과 같은 일련의 절차로 이루어진다. 최적규모 결정을 위해 경제성 평가지표 가운데 하나인 순현가를 이용하였고, 이를 통해 최적 설계유량과 시설물의 최적규모를 도출하였다. 초기비용의 산출을 위하여 기존 소수력발전소의 비용 자료를 검토하여 함수식을 개발하였고, 편익 산정시 현재 공시된