• KSII Transactions on Internet and Information Systems (TIIS)
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• 제10권10호
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• pp.4848-4863
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• 2016

The explosive wireless data service requirement accompanied with carbon dioxide emission and consumption of traditional energy has put pressure on both industria and academia. Wireless networks powered with the uneven and intermittent generated renewable energy have been widely researched and lead to a new research paradigm called green communication. In this paper, we comprehensively consider the total generated renewable energy, QoS requirement and channel quality, then propose a utility based renewable energy allocation policy. The utility here means the satisfaction degree of users with a certain amount allocated renewable energy. The energy allocation problem is formulated as a constraint optimization problem and a heuristic algorithm with low complexity is derived to solve the raised problem. Numerical results show that the renewable energy allocation policy is applicable not only to soft QoS, but also to hard QoS and best effort QoS. When the renewable energy is very scarce, only users with good channel quality can achieve allocated energy.

• 한국농림기상학회지
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• 제7권2호
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• pp.148-155
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• 2005

An accurate prediction of blooming date is crucial for many authorities to schedule and organize successful spring flower festivals in Korea. The Korea Meteorological Administration (KMA) has been using regression models combined with a subjective correction by forecasters to issue blooming date forecasts for major cities. Using mean monthly temperature data for February (observed) and March (predicted), they issue blooming date forecasts in late February to early March each year. The method has been proved accurate enough for the purpose of scheduling spring festivals in the relevant cities, but cannot be used in areas where no official climate and phenology data are available. We suggest a thermal time-based two-step phenological model for predicting the blooming dates of spring flowers, which can be applied to any geographic location regardless of data availability. The model consists of two sequential periods: the rest period described by chilling requirement and the forcing period described by heating requirement. It requires daily maximum and minimum temperature as an input and calculates daily chill units until a pre-determined chilling requirement for rest release. After the projected rest release date, it accumulates daily heat units (growing degree days) until a pre- determined heating requirement for flowering. Model parameters were derived from the observed bud-burst and flowering dates of cherry tree (Prunus serrulata var. spontanea) at KMA Seoul station along with daily temperature data for 1923-1950. The model was applied to the 1955-2004 daily temperature data to estimate the cherry blooming dates and the deviations from the observed dates were compared with those predicted by the KMA method. Our model performed better than the KMA method in predicting the cherry blooming dates during the last 50 years (MAE = 2.31 vs. 1.58, RMSE = 2.96 vs. 2.09), showing a strong feasibility of operational application.

• 한국건설관리학회논문집
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• 제13권3호
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• pp.25-33
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• 2012

본 연구는 교정시설에 대한 시설관리자 측면의 요구사항 도출 및 중요도 분석을 목적으로 수행되었다. 이를 위해 2000년 이후 준공된 교정시설 11곳을 사례대상으로 선정한 후, 선정된 교정시설의 시설관리자에 대한 설문조사를 통해 요구사항을 도출하였다. 이렇게 도출된 요구사항을 기초로 시설관리자 설문조사를 통해 중요도 지수조사한 후 AHP기법을 활용하여 요구사항의 중요도를 분석하였다. 상기와 같은 목적과 방법에 따라 진행된 본 연구의 결론을 요약하면 다음과 같다. 1) 교정시설에 대한 시설관리자 측면의 요구사항은 배치 및 동선, 건축마감, 기계설비, 전기설비의 총 4가지 분야로 도출되었다. 2) 각 분야별 요구사항의 중요도 분석 결과를 정리하면 다음과 같다. 배치 및 동선분야는 건물배치계획(10.9%)이 주요 요구사항으로 선정되었다. 건축마감분야는 차음성개선(14.1%)이 주요 요구사항으로 선정되었다. 기계설비분야는 개별 냉 난방시스템 구축(11.9%)이 주요 요구사항으로 선정되었다. 전기설비분야는 제어장치 개선(12.2%)이 주요 요구사항으로 선정되었다.

• 한국산업정보학회논문지
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• 제29권2호
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• pp.55-68
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• 2024

플랜트 엔지니어링 기업은 서로 다른 공종별 부서에서 플랜트 공정/설비/파이프/계장 등 각 관련 분야의 요구사항 문서를 작성하거나 참조하게 된다. 공정 관련 요구사항 문서는 공정에 대한 설명과 함께 이를 운영할 설비 또는 관련 시설의 요구사항들을 포함한다. 각 공종별 문서에 기술된 설비 또는 부품에 관련된 요구사항과 사양 정보는 문서의 작성자와 검토자들이 다르기 때문에 상호 간에 불일치가 발생할 가능성이 있다. 이 사항들에 대한 일치성을 확인하는 것은 전체 플랜트 설계 정보의 신뢰도를 높일 수 있다. 하지만, 문서의 양이 방대하고 서로 다른 문서들에 동일한 설비 부품에 대한 요구사항들이 일반 문장 형태로 흩어져 있기에 이를 사람이 추적하여 관리하는 것은 한계가 있다. 본 논문에서는 서로 다른 문서들 내에 기술된 요구사항 문장들을 분석하여 설비 또는 설비 부품과 관련된 요구사항 문장의 유사도를 계산하여 의미적으로 동일한 문장을 찾아내는 방법을 제안한다. 요구사항 문장의 유사도를 계산하기 위하여 의미적으로 요구사항의 중심이 되는 부품과 속성을 개체명 인식 방법을 활용하여 찾아내고, 찾아진 부품과 속성들의 유사도를 계산하여 두문장이 의미적으로 동일함을 판단하는 방법을 제안한다. 플랜트 현장에서 사용하는 문서의 문장들을 예제로 하여 제안하는 방법을 설명하고 실험 결과를 설명한다.

• 농촌계획
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• 제28권4호
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• pp.105-117
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• 2022

This study tested SVM(support vector machine), RF(random forest), and ANN(artificial neural network) machine-learning models that can predict net irrigation water requirements in paddy fields. For the Jeonju and Jeongeup meteorological stations, the net irrigation water requirement was calculated using K-HAS from 1981 to 2021 and set as the label. For each algorithm, twelve models were constructed based on cumulative precipitation, precipitation, crop evapotranspiration, and month. Compared to the CE model, the R² of the CEP model was higher, and MAE, RMSE, and MSE were lower. Comprehensively considering learning performance and learning time, it is judged that the RF algorithm has the best usability and predictive power of five-days is better than three-days. The results of this study are expected to provide the scientific information necessary for the decision-making of on-site water managers is expected to be possible through the connection with weather forecast data. In the future, if the actual amount of irrigation and supply are measured, it is necessary to develop a learning model that reflects this.

• 한국군사과학기술학회지
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• 제7권1호
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• pp.13-23
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• 2004

There are several kinds of error factors in control system design. All error factors must be analysed before designing the control system. Therefore, each error factor must be compensated and eliminated completely. Systems Engineering can solve these error factors. In this paper, systems engineering approach on control system design are studied under model based systems engineering with RDD-100, Matlab-Simulink. Systems Engineering shall be used in defense development from control system design to system development.

• Journal of Biosystems Engineering
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• 제20권3호
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• pp.275-287
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• 1995

The rice processing complex(RPC) consisted of the rice handling, drying, storage, and milling processes. It has been established at 83 locations domestically by April 1994, and 200 of RPC will be built more throughout the country. Therefore, this study has been performed to achieve two objectives as the followings : 1) Development of mathematical models which can assess the requirement of electricity, fuel, and labor for four model systems of rice processing complex. 2) Development of a computer simulation model which produce the improved designs of RPC by the evaluation results of energy requirements of four RPC models. The results from this study are summarized as follows : 1) Mathematical models were developed on the basis of result of mass balance analysis and required power of machines for each process. 2) A computer simulation model was developed, which can produce the improved designs of RPC by the evaluation results of energy requirements. The computer simulation model language was BORLAND $C^{++}$. 3) The results of simulation showed that total energy requirements were ranged from 75.94㎾h/t to 124.30㎾h/t. 4) From the results of computer analysis of energy requirement classified by drying type, it was found that energy requirement of the drying type A{paddy rice (PR) for storage-natural air drying(15%), PR for milling-heated air drying(16%)} were less than that of the drying type B{1 step-natural air drying(PR for storage : 18%, PR for milling : 20%), 2 step-heated air drying(PR for storage : 15%, PR for milling : 16%)}. 5) The energy efficient drying method is that all the incoming rough rice to RPC should be dried by national air drying systems. If it is more than the capacity of national air drying system, the amount of surplus rough rice is recommended to be dried by the heated air drying method.

• 한국인터넷방송통신학회논문지
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• 제17권6호
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• pp.97-103
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• 2017

고품질의 소프트웨어를 개발하기 위해서는 개발 초기단계에 정확한 요구사항 정의 및 분석이 필요하다. 그러나 대부분의 자연어 기반의 요구사항 문장 표현은 부정확성과 이해도 어려운 실정이다. 또한 요구사항은 같은 의미를 가진 객체나 용어들이 중복 식별된다. 이를 해결하기 위해 고객 요구사항을 언어학적 및 의미적 문맥 분석을 통한 효율적인 요구사항 분석 방법이 필요하다. 본 논문에서는 요구공학 언어학자인 Fillmore의 의미론적 분석 방법을 요구공학에 접목하고, 의미론적 분석 개선 방안을 제안한다. 이 방법은 자연어 기반의 요구사항을 Goal Oriented Use Case Modeling 통해 쉽게 읽고 이해 가능한 요구 사항 분석이 기대된다.

• 정보처리학회논문지:소프트웨어 및 데이터공학
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• 제6권4호
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• pp.193-202
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• 2017

인공지능 기반 지능형 시스템의 개발에는 일반적으로 신뢰성 높은 대규모 지식처리, 지식의 통합과 인간 수준의 이해, 지식기반 인간-기계협업, 전문가 수준의 지능 서비스 등의 효과적 통합이 요구된다. 특히 빅데이터 이해 기반 자가학습형 지식베이스 및 추론 기술 개발을 목표로 하고 있는 과제의 일환으로 개발 중인 WiseKB 통합 플랫폼은 대용량 지식을 저장하여 추론과정을 통한 질의 및 응답이 가능한 대규모 지식 베이스 역할을 수행하며 이를 위하여 지식표현, 자원통합, 지식저장소, 지식베이스, 복합추론, 지식학습 등의 요소기술들의 효과적 통합이 필수적이다. 통합 플랫폼의 효율적 통합을 위해서는 정확한 요구사항 분석이 중요하며, 이는 시스템의 특성을 고려한 적절한 요구사항 분석 방법론의 적용이 필요하다. 대표적인 요구사항 분석 방법인 순차적 방법론과 순환-점진적 방법론은 WiseKB와 같은 시스템의 대규모 복합적 개발 특성을 고려할 때 다양한 요구사항을 체계적으로 파악하기에 한계가 있다. 본 논문에서는 이러한 한계를 개선하고자 순차적 방법과 순환-점진적 방법론을 결합해 각 단점을 보완하고 대규모 복합적 특성을 갖는 시스템의 요구사항 분석을 효율적으로 진행할 수 있는 통합 방법론을 제시하고, 실제 적용을 통해 그 효과를 보인다.

• Journal of Biosystems Engineering
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• 제6권1호
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• pp.1-14
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• 1981

A laboratory model test was carried out with a newly designed model to figure out the vibration characteristics of the vibratory tillage tool according to the method of forced vibration, i.e., horizontally and vertically forced vibrations. The results are summarized as follows: 1. The reduction ratios of the draft force of the vibratory blade were 14.2-42.6% for the case where the vibration was forced parallel to the travelling direction of the blade, and 15-54.5% for the vertically forced vibration. And it was thought that the method of vertically forced vibration was preferable to the reduction of the draft force. 2. The ratio of the draft force of a vibratory blade to that of a static one could be represented as a function of V/At. It was found to be possible to reduce the draft force by taking a lower value of (V/Af) and this meant that the effictiveness of tillage practice using the vibratory system would be limited. 3. The torque to the main rotating shaft to vibrate the model blade increased frequency and amplitude. This tendency varied according to the physical properties of tested soil. In case of horizontally forced vibration, the torque was 8~34% less than in case of vertically forced vibration. 4. With the increase of frequency, the total power requirement increased linearly, and also the portion of oscillating power requirement in the total power tended to increase. The magnitude of the total power requirement was 1.4-13 times greater than that of a static one for the case of horizontal vibration, and 1.5-15 times greater for the case of vertical vibration. It was thought that the horizontal vibration of the blade was preferable to the vertical vibration in view of the power requirement. 5. A linearity was found between the amplitude of moment oscillogram and magnitude of oscillating acceleration. Only positive values of moment occurred when the blade was forced to vibrate vertically, but negative values occurred in rarity in the case of amplitude A3 when the blade was forced to vibrate horizontally.