• 한국콘텐츠학회:학술대회논문집
• /
• 한국콘텐츠학회 2006년도 추계 종합학술대회 논문집
• /
• pp.13-15
• /
• 2006

다층퍼셉트론을 패턴인식 문제에 적용하는 경우 대부분 하나의 클래스 당 하나의 출력노드를 할당한다. 이 논문에서는 class 당 출력노드 수를 증가시키는 경우에 다층퍼셉트론의 성능이 향상되는 지 고립단어 인식 문제의 시뮬레이션을 통하여 고찰하였다. 시뮬레이션 결과 출력노드 수가 하나인 경우보다 증가시킨 경우 더 나은 성능을 얻었다.

• 한국산업융합학회 논문집
• /
• 제20권4호
• /
• pp.275-284
• /
• 2017

As the high-level of the industrial and information age, the electricity become the indispensable element in the daily life including OA, FA, and computer, electric home appliances, and etc. In particular, The continuous use of the high capacity power supply system by applying a Switching Mode Power Supply(SMPS) according to the increase of the secondary side output terminal of the power load of the refrigerator of the home appliance or automation of the plant is pressed. The purpose using the way with this kind of high-capacity altogether is to supply the output voltage and output current regardless of the input voltage or to the external environmental conditions of the secondary-side load fluctuation. In this paper, a combination of a Buck Converter with Boost Converter by making a constant current source to control the inductor current and maintain stable power supply side operating characteristics, when load variations. While maintaining the same characteristics as conventional Buck Converter, and offer a DC-DC Converter system with the new switch pattern having a wide output range capable of operating in Buck-Boost Converter. In addition, after theoretical analysis, we carry out simulations and experiments to verify the validity and performance comparing with a conventional DC-to-DC converter.

• 전기학회논문지
• /
• 제63권4호
• /
• pp.534-540
• /
• 2014

In this paper, we propose a fuzzy combined Polynomial Neural Network(PNN) for pattern classification. The fuzzy combined PNN comes from the generic TSK fuzzy model with several linear polynomial as the consequent part and is the expanded version of the fuzzy model. The proposed pattern classifier has the polynomial neural networks as the consequent part, instead of the general linear polynomial. PNNs are implemented by stacking the simple polynomials dynamically. To implement one layer of PNNs, the various types of simple polynomials are used so that PNNs have flexibility and versatility. Although the structural complexity of the implemented PNNs is high, the PNNs become a high order-multi input polynomial finally. To estimate the coefficients of a polynomial neuron, The weighted linear discriminant analysis. The output of fuzzy rule system with PNNs as the consequent part is the linear combination of the output of several PNNs. To evaluate the classification ability of the proposed pattern classifier, we make some experiments with several machine learning data sets.

• 한국지능시스템학회논문지
• /
• 제16권1호
• /
• pp.86-93
• /
• 2006

생물학적으로 동기가 되는 신경망 모델에 기반한 TAM 네트워크는 특별히 패턴분석에 효과적인 모델이다. TAM 네트워크는 입력층, 카테고리층, 출력층으로 구성되어 있다. 입력 및 출력 데이터에 대한 퍼지룰은 TAM 네트워크에서 얻어진다. 각 층에서 링크와 노드를 감소하기 위한 3가지의 프루닝룰을 사용하는 TAM 네트워크를 퍼지 TAM 네트워크라고 한다. 본 논문에서는 퍼지 TAM 네트워크를 건설협력업체의 핵심역량모델의 패턴분석에 적용하고 그 유용성을 보인다.

• 전기학회논문지P
• /
• 제58권4호
• /
• pp.602-608
• /
• 2009

In this thesis, output voltage, current and power of solar module were classified by irradiation from data of overall operating characteristics collected for one year in order to manage efficient photovoltaic generation system and deliver maximum power. In addition, from these data, correlations between irradiation of photovoltaic cell and amount of power given by photovoltaic cell was quantitatively examined to deduce optimization of the design and construction of photovoltaic generation system. As I-V characteristics according to a temperature range of 10~50[$^{\circ}C$], the area of I-V characteristics were increased with an increase in temperature. Since this area corresponds to the power, output power is thought to have increased with temperature. As output power characteristics according to a temperature range of 10~50[$^{\circ}C$], output power was increased with an increase in temperature. Since output power increases with temperature increase, the result corresponds well to the related equation on temperature and output power. As I-V characteristics according to a irradiation range of 100~900 [$W/m^2$], voltage and current were increased with an increase in irradiation. The result is thought of as an increase in output power with increasing irradiation. As output power characteristics according to a irradiation range of 100~900 [$W/m^2$], output power was increased with increasing irradiation. This result corresponds well to the related equation on irradiation and output power.

• ETRI Journal
• /
• 제25권2호
• /
• pp.101-108
• /
• 2003

This paper proposes an improved vascular pattern extraction algorithm for person verification applications. The proposed direction-based vascular pattern extraction (DBVPE) algorithm is based on the directional information of vascular patterns. It applies two different filters to the input images: row vascular pattern extraction filter (RVPEF) for effective extraction of the abscissa vascular patterns and column vascular pattern extraction filter (CVPEF) for effective extraction of the ordinate vascular patterns. We use the combined output of both filters to obtain the final hand vascular patterns. Unlike the conventional hand vascular pattern extraction algorithm, the directional extraction approach prevents loss of the vascular pattern connectivity. To validate the DBVPE algorithm, we used a prototype system with a DSP processor. The prototype system shows approximately a three-times better false acceptance rate (FAR) than the conventional single filter algorithm.

• 에너지공학
• /
• 제17권3호
• /
• pp.145-152
• /
• 2008

에너지가격의 인상과 고갈의 시대에 들면서, 사회적으로 에너지 정책에 대한 정부의 개입요구가 더욱 높아지고 있다. 에너지 정책 시행은 양면의 상반된 효과를 유발할 수 있다. 우선 긍정적인 면에서 에너지 수입의 감소를 통해 불필요한 외화유출을 방지할 수 있어 재원의 적절한 배분을 가능케 하고, 비싼 에너지 사용의 절약을 통해 가격 경쟁력을 제고할 수 있을 것이다. 이에 반해 무분별한 에너지 절약 정책의 경우, 투입재를 에너지에서 설비로 비합리적으로 대체하여 정책실적만 기록할 뿐이고 오히려 경제에서는 생산성을 저해하는 예기치 못한 부정적인 효과를 초래할 수도 있다. 에너지 정책에서 정책효과를 높이기 위해서는 경제를 구성하는 각 산업 부문별로 에너지 사용 형태를 분석하고 그 결과를 이해하는 노력이 선행되어야 한다. 이 점에서 본 연구는 거시적 접근법의 대표적 방법인 에너지 산업연관분석을 이용해 한국의 산업 부문별 에너지 소비행태를 분석하였다. 이를 통해 에너지 사용 집약도와 에너지원별 소비행태의 변화에 대한 계량적 분석을 수행하였다.

• 동아시아경상학회지
• /
• 제7권4호
• /
• pp.51-58
• /
• 2019

Purpose - This paper aims to analyze the difference of technological innovative pattern by industry. Research design and methodology - we try to identify the major factors which can exert an effective influence on actual innovation output, utilizing the result of Korean Innovation Survey. By doing so, this work can make a comparison with Pavitt (1984) and succeeding discussion on sectoral pattern of innovation Results - Analysis on major industry in Korea shows that there are substantial differences in terms of the source of innovation, organization-related factor, and appropriation mechanism among each industry, and differential strategy to be proper for the nature of each industry is needed. There is some variation within industries which deemed as same type of sector defined by Pavitt. Conclusions - This analysis call for elaborate analysis on sectoral pattern of innovation, considering the change and difference of innovative environment as well as differential business strategy and way to do innovate, which is proper considering the nature of innovative pattern in each industry for successful technological innovation in Korea. At the same time, proper policy measure considering the differential pattern of technological innovation is needed.

• International Journal of Control, Automation, and Systems
• /
• 제2권1호
• /
• pp.1-14
• /
• 2004

This paper surveys some existing direct adaptive feedback control schemes for linear time-invariant systems with actuator failures characterized by the failure pattern that some inputs are stuck at some unknown fixed or varying values at unknown time instants, and applications of those schemes to aircraft flight control system models. Controller structures, plant-model matching conditions, and adaptive laws to update controller parameters are investigated for the following cases for continuous-time systems: state tracking using state feed-back, output tracking using state feedback, and output tracking using output feedback. In addition, a discrete-time output tracking design using output feedback is presented. Robustness of this design with respect to unmodeled dynamics and disturbances is addressed using a modified robust adaptive law.

• 한국콘텐츠학회논문지
• /
• 제9권1호
• /
• pp.123-130
• /
• 2009

일반적으로 다층퍼셉트론을 패턴인식 문제에 적용할 경우 클래스 당 하나의 출력 노드를 배정하고, 이 출력 노드의 인덱스가 입력 패턴의 클래스를 뜻하도록 한다. 이 논문에서는 이와 달리 다층퍼셉트론의 성능 향상을 위하여 클래스 당 출력노드 수를 증가시키는 방법을 제안한다. 두 개의 클래스 문제를 대상으로 클래스 발생확률이 동일하고 각 클래스 내에서 출력노드가 균일분포를 지닌다는 가정 하에, 이 방법의 효용성을 확률론적인 유도를 통하여 증명하였다. 그리고, 50개의 고립단어 인식의 시뮬레이션으로 출력노드를 증가 시킬 경우 성능이 향상됨을 확인하였다.