• KIEAE Journal
• /
• 제14권3호
• /
• pp.97-103
• /
• 2014

This study aimed at developing integrated logic for controlling heating device and openings of the double skin facade buildings. Two major logics were developed-rule-based control logic and artificial neural network based control logic. The rule based logic represented the widely applied conventional method while the artificial neural network based logic meant the optimal method. Applying the optimal method, the predictive and adaptive controls were feasible for supplying the advanced thermal indoor environment. Comparative performance tests were conducted using the numerical computer simulation tools such as MATLAB (Matrix Laboratory) and TRNSYS (Transient Systems Simulation). Analysis on the test results in the test module revealed that the artificial neural network-based control logics provided more comfortable and stable temperature conditions based on the optimal control of the heating device and opening conditions of the double skin facades. However, the amount of heat supply to the indoor space by the optimal method was increased for the better thermal conditioning. The number of on/off moments of the heating device, on the other hand, was significantly reduced. Therefore, the optimal logic is expected to beneficial to create more comfortable thermal environment and to potentially prevent system degradation.

• 한국구조물진단유지관리공학회 논문집
• /
• 제12권2호
• /
• pp.193-200
• /
• 2008

탄-소성론에 근거한 콘크리트나 토질과 같은 재료의 파괴 포락선은 주응력을 축으로 하는 공간 좌표계상에서 인장의 등압(hydrostatic stress)축을 향해 기울어진 형태를 가지며 소성흐름이 상관소성흐름 법칙(associated flow rule)에 따라 결정될 경우 콘크리트의 거동 예측시에 과도한 체적 팽창률을 나타내게 된다. 본 논문에서는 콘크리트의 다축응력 하에서의 거동을 예측하기 위하여 비균일 경화(nonuniform hardening)를 적용한 5계수 파괴 포락선과 등압축 방향 성분의 소성 흐름을 수정하는 비상관 소성흐름 법칙(non-associated flow rule)을 사용하여 비선형 유한요소해석 프로그램을 개발하였으며 신뢰성 있는 연구자의 다축응력 실험결과와 유한요소해석 프로그램의 해석결과를 비교하였다.

• 한국CDE학회논문집
• /
• 제8권4호
• /
• pp.243-253
• /
• 2003

This paper presents a new geometric morphing algorithm for polygons based on a simple geometric structure called direction map, which is mainly composed of a circular list of direction vectors defined by two neighboring vertices of a polygon. To generate a sequence of intermediate morphing shapes, first we merge direction maps of given control shapes based on a certain ordering rule of direction vectors, and scale the length of each direction vectors using Bezier or blossom controls. We show that the proposed algorithm is an improvement of the previous methods based on Minkowski sum (or convolution) in th aspects of computational efficiency and geometric properties.

• 한국멀티미디어학회논문지
• /
• 제23권2호
• /
• pp.155-165
• /
• 2020

In this paper, we propose a smart thermostat temperature set-point control method based on machine learning and rule engine, which controls thermostat's temperature set-point so that it can achieve energy savings as much as possible without sacrifice of occupants' comfort while users' preference usage pattern is respected. First, the proposed method periodically mines data about how user likes for heating (winter)/cooling (summer) his or her home by learning his or her usage pattern of setting temperature set-point of the thermostat during the past several weeks. Then, from this learning, the proposed method establishes a weekly schedule about temperature setting. Next, by referring to thermal comfort chart by ASHRAE, it makes rules about how to adjust temperature set-points as much as low (winter) or high (summer) while the newly adjusted temperature set-point satisfies thermal comfort zone for predicted humidity. In order to make rules work on time or events, we adopt rule engine so that it can achieve energy savings properly without sacrifice of occupants' comfort. Through experiments, it is shown that the proposed smart thermostat temperature set-point control method can achieve better energy savings while keeping human comfort compared to other conventional thermostat.

• 사물인터넷융복합논문지
• /
• 제9권1호
• /
• pp.77-87
• /
• 2023

네트워크 침입 탐지 작업에 다양한 연관 규칙 마이닝 알고리즘을 적용하는 데에는 두 가지 중요한 문제가 있다. 생성된 규칙 집합의 크기가 너무 커서 IoT 시스템에서 활용하기 어렵고, 거짓 부정/긍정 비율을 제어하기 어렵다. 본 연구에서는 coverage와 exclusion이라는 새로 정의된 척도에 기반을 둔 연관 규칙 마이닝 알고리즘을 제안한다. Coverage는 한 클래스의 트랜잭션에서 패턴이 발견되는 빈도를 나타내고, exclusion은 다른 클래스의 트랜잭션에서 패턴이 발견되지 않는 빈도를 나타낸다. 우리는 KDDcup99라는 공개 데이터 세트를 사용하여 가장 유명한 알고리즘인 Apriori 알고리즘과 실험적으로 제안된 알고리즘을 비교한다. Apriori와 비교하여 제안된 알고리즘은 정확도를 완전히 유지하면서 생성되는 규칙 집합 크기를 최대 93.2%까지 줄인다. 또한, 제안된 알고리즘은 생성된 규칙의 거짓 부정/긍정 비율을 매개변수별로 완벽하게 제어한다. 따라서 네트워크 분석가는 두 가지 문제를 해결함으로써 제안한 연관 규칙 마이닝을 네트워크 침입 탐지 작업에 효과적으로 적용할 수 있다.

• 한국소음진동공학회:학술대회논문집
• /
• 한국소음진동공학회 1995년도 춘계학술대회논문집; 전남대학교, 19 May 1995
• /
• pp.142-146
• /
• 1995

In the paper, Fuzzy Logic Controller(FLC) that determines its optimal coefficients using Genetic Algorithms is considered. It is also applied to the inverted pendulum problem known popularly as a standard plant. Flexibility of the inverted pendulum has been taken into account. In the results, Fuzzy Logic Controller under consideration successfully controls both rigid mode and flexible mode. The rule base of Fuzzy Logic Controller is automatically tuned using not only trial-error method but also Genetic Algorithms.

• 한국컴퓨터정보학회논문지
• /
• 제6권1호
• /
• pp.60-66
• /
• 2001

본 논문에서는 접근제어 요구 사항의 복잡한 문제를 해결하기 위한 직무기반 접근제어 모델을 설계하였다. 본 논문에서 설계한 접근제어 모델은 직무기반 접근제어를 이용하여 권한을 효과적으로 통제하고, 신분 및 규칙기반 접근제어를 이용하여 정보의 비밀성, 무결성 및 가용성의 보장과 불법적인 유통을 방지할 수 있다. 설계된 접근제어 모델은 직무, 보안등급, 무결성 등급 및 소유권 등의 다단계 보안 정책을 기반으로 하여 자원에 대한 불법적인 접근을 방어 할 수 있다

• 식품과학과 산업
• /
• 제49권3호
• /
• pp.55-61
• /
• 2016

Even though the food safety system in the United States is one of the best in the world, many millions of people become sick and thousands die from foodborne illnesses caused by any of a number of microbial pathogens and other contaminants. Large recalls of United States Department of Agriculture (USDA) and the Food Drug and Administration (US FDA)-regulated food products due to findings of E. coli O157:H7, Listeria, Salmonella, and other problems occur each year. As the US FDA Food Safety Modernization Act (FSMA) passed in 2011, FSMA will require food processing, manufacturing, shipping, and other regulated entities to conduct an analysis of the most likely safety hazards and to design and implement risk-based controls to reduce or eliminate these hazards. FSMA also mandates increased scrutiny of food imports, which account for a growing share of U.S. food consumption; food import shipments will have to be accompanied by documentation showing that they can meet safety standards that are at least equivalent to those in the U.S. On September 17, 2015, the US FDA published final rules for Preventive Controls for Human and Animal Food and, continuing into 2016, the US FDA intends to finalize the remaining five rules it has proposed to implement FSMA. Among these rules, this article will review and discuss Preventive Controls for Human Food Rule and its components, and suggest how to comply with these FSMA rules as foreign human food and ingredients suppliers to the US.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• 제11권3호
• /
• pp.1319-1335
• /
• 2017

This paper proposes an opportunistic reporting-based sensing-reporting-throughput optimization scheme that maximizes the spectral efficiency of secondary users (SUs) in cooperative cognitive radio networks with a soft combining rule. The performance of cooperative spectrum sensing depends on the sensing time, the reporting time of transmitting sensing results, and the fusion scheme. While longer sensing time and reporting time improve the sensing performance, this shortens the allowable data transmission time, which in turn degrades the spectral efficiency of SUs. The proposed scheme adopts an opportunistic reporting scheme to restrain the reporting overhead and it jointly controls the sensing-reporting overhead in order to increase the spectral efficiency of SUs. We show that there is a trade-off between the spectral efficiency of SUs and the overheads of cooperative spectrum sensing. The numerical results demonstrate that the proposed scheme significantly outperforms the conventional sensing-throughput optimization schemes when there are many SUs. Moreover, the numerical results show that the sensing-reporting time should be jointly optimized in order to maximize the spectral efficiency of SUs.

• 한국멀티미디어학회논문지
• /
• 제11권11호
• /
• pp.1547-1554
• /
• 2008

본 논문은 센서 네트워크를 이용하여 실시간으로 건물 내부의 화재 정보를 감시하고, 화재 발생 시 적절한 대피 경로를 제안하는 화재 대피 유도 시스템 모델을 제안한다. 이 시스템 모델은 센서 경보 모듈(sensor alert module), 행위 제안 모듈(behavior suggestion module), 비상 장치 제어 모듈(emergency device control module) 등으로 구성된다. 센서 경보 모듈은 센서 네트워크에서 수집한 정보를 주기적으로 감시하고, 규칙기반 알고리즘을 이용하여 화재 여부를 판별한다. 그리고 행위 제안 모듈은 센서 경보 모듈이 생성한 위험 센서 목록(danger sensor list)을 가지고 화재지역을 파악하여 화재 위치에 따른 비상등의 방향을 제시하고, 비상 장치 제어 모듈은 제시된 비상등의 방향에 따라 관련 비상 장치를 제어하거나 화재 상태를 도시한다. 이 시스템의 동작을 검증하기 위해 가상으로 무선 센서 네트워크의 데이터를 생성하여 인터넷 웹 기반의 화재 대피 유도 시스템을 구현하여 실험한다. 향후 본 연구를 통하여 대형 건축물에서 화재 발생과 같은 긴급 상황 발생할 경우 사람들을 안전하게 보호할 수 있을 것으로 사료된다.