• 신재생에너지
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• 제10권3호
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• pp.22-30
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• 2014

The isolated self-generating electricity with diesel engine generator has been used in islands far away from main land. It costs high because of increasing oil price, and unsafe to have supplying oil and its related components by ship due to unexpectable marine conditions. Therefore there is the need for the hybrid system of renewable energy like wind or solar energy systems with oil engine generator, which can reduce oil use and extend oil supplying period. In this study, the feasibility of such hybrid system with smart micro grid on the eight islands of Jeon-nam province is surveyed to find good place for the demonstration test of the hybrid system. In each island, 3 wind turbine systems of 10 kW and photovoltaic of 20 kW are tested with already installed diesel engine. The performance and costs of the hybrid system in each island are compared in the given conditions of solar and wind energy potential. As a result of the study, Jung-ma island is recommended for the optimum place to make real field demonstration test of isolated hybrid generating and smart grid systems.

• 한국정보전자통신기술학회논문지
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• 제10권5호
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• pp.396-401
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• 2017

본 논문은 블루투스와 다른 장치를 연결하였을 때 블루투스와의 간섭 현상에 대한 해결 방안을 제시한다. 랜덤 주파수 도약 기법은 무선랜 간섭을 고려하지 않고 블루투스 전체 채널을 이용하여 도약 패턴을 생성하는 기법이다. 제안된 적응적 주파수 도약 기법은 블루투스의 주기적인 캐리어 센싱을 통해 무선랜 간섭을 고려하여 블루투스 채널의 도약 패턴을 생성하는 기법이다. 모의실험을 통해 무선랜 간섭이 혼잡한 상황에서도 블루투스 캐리어 센싱 간격이 줄어들수록 적응적 주파수 도약 기법을 사용하면 패킷 오류율이 감소되는 것을 확인하였다. 특히 주파수 도약 기법은 적응적 주파수 도약 기법 대비 평균 패킷 오류율은 약 13%의 성능 향상이 있었다.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2000년도 하계학술대회 논문집 A
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• pp.406-408
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• 2000

Recently, Korea's electric industry is in the midst of a period of profound changes in the structure and function, including the introduction of market competition in the generation sector. Therefore, it is difficult to promote long-term capacity planning and new generating capacity construction which have been driven by KEPCO so far, after the introduction of market competition, so new generating capacity construction and security of reserve margin is needed through self·regulation plan of private generation producers by market mechanism. According to the competition in the generation sector, a new paradigm is necessary to the long-term capacity planning driven by the Government. This paper analyzes the plan and the incentive level able to guide the new generation capacity construction considering the uncertainty risk in a period of introduction of competition. In addition, this paper analyzes the plan able to guide the new capacity construction by market function at the stage which market become established and Government's role to solve the anxiety about the capacity supply and demand.

• 한국위성정보통신학회논문지
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• 제11권2호
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• pp.42-47
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• 2016

최근 태양광, 에너지 저장 시스템 등의 발전으로 인해 가정에서 에너지 관리 시스템을 구축하고 에너지 생산을 스스로 하고자 하는 에너지 자립형 스마트 홈 시스템에 대한 연구가 활발해 지고 있다. 특히, 일본의 경우 후쿠시마 원전 사태 이후 전력망의 불안정성으로 인해 태양광을 통해 발전하고 이를 전력 에너지 저장 시스템에 저장하고 사용하는 가정용 시스템이 상용화되었다. 북미나 유럽에서도 태양광과 에너지 저장 시스템을 결합하여 신재생에너지 보급사업을 통해 보조금을 지급하면서 설치 가정을 확대하고 있다. 본 논문에서는 댁내 홈 네트워크를 통해 태양광과 에너지 저장 시스템을 연결하고 실시간 요금제에 기반을 둔 에너지 자립형 스마트 홈 시스템 개발에 대해 기술한다. 사용자의 개입을 최소화하면서 자동화된 운전으로 전력망으로부터의 에너지 사용을 최적화하여 에너지 자립형 홈을 구현하였다.

• 한국음향학회지
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• 제42권2호
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• pp.94-101
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• 2023

음성 향상에서 많이 사용되는 U-Net과 같이 인코더와 디코더로 구성된 심층 신경망 모델은 skip-connection을 통해 인코더의 특징을 디코더에 연결하는 구조로 구성되어 있다. Skip-connection은 디코더에서 향상된 스펙트럼을 재구성하는데 도움을 주며 인코더를 통해 손실된 정보를 보완해줄 수 있다. 이때 skip-connection을 통해 연결되는 인코더의 특징과 디코더의 특징의 의미는 서로 다르다. 본 논문에서는 복소 스펙트럼 기반 음성 향상의 성능 향상을 위해 디코더에 연결되는 인코더의 특징을 디코더 특징의 의미에 가깝게 변환해주도록 skip-connection에 Self-Attention(SA)을 적용하는 방안을 연구하였다. SA는 시퀀스-시퀀스 문제에서 출력 시퀀스를 생성할 때, 입력 시퀀스의 가중 산술 평균을 이용하여 결정적인 부분을 집중해서 볼 수 있도록 하는 기법으로, 음성 향상 분야에서도 이를 적용함으로써 성능 향상에 효과적임을 입증하는 연구가 진행되었다. SA를 skip-connection에 적용하기 위해 인코더 특징과 디코더 특징을 이용하는 총 3가지의 방법에 대해 연구하였다. TIMIT 데이터베이스를 이용한 음성 향상 실험 결과, 제안하는 방법이 기존 skip-connection으로만 연결된 Deep Complex U-Net(DCUNET)과 비교하여 모든 성능 평가 지표에서 향상된 결과를 보였다.

• Asia pacific journal of information systems
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• 제23권3호
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• pp.131-154
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• 2013

New internet technologies have created a revolutionary new platform which allows consumers to make decision about product price and quality quickly and provides information about themselves through the transcript of online reviews. By expressing their feelings toward products or services on virtual opinion platforms, users extend their influence into cyberspace as electronic word-of-mouth (e-WOM). Existing research indicates that an impact of eWOM on the consumer decision process is influential. For both academic researchers and practitioners, investigating this phenomenon of information sharing in online website is essential given the increasing number of consumers using them as sources of purchase decisions. It is worthwhile to examine the extent to which opinion seekers are willing to accept and adopt online reviews and which factors encourage adoption. Discerning the most motivating aspects of information adoption in particular, could help electronic marketers better promote their brand and presence on the internet. The objectives of this study are to investigate how online WOM influences a persons' purchase decision by discovering which factors encourage information adoption. Especially focused on the self-efficacy, this research investigates how self-efficacy affects on information usefulness and adoption of online information. Although people are exposed to same review or comment about product or service, some accept the reviews while others do not. We notice that accepting online reviews mainly depends on the person's preference or personal characteristics. This study empirically examines this issue by using cognitive dissonance theory. Specifically, in the movie industry, we address few questions-is always positive WOM generating positive effect? What if the movie isn't the person's favorite genre? What if the person who is very self-assertive so doesn't take other's opinion easily? In these cases of cognitive dissonance, is always WOM generating same result? While many studies have focused on one direct of WOM which indicates positive (or negative) informative reviews or comments generate positive (or negative) results and more (or less) profits, this study investigates not only directional properties of WOM but also how people change their opinion towards product or service positive to negative, negative to positive through the online WOM. An experiment was conducted quantitatively by using a sample of 168 users who have experience within the online movie review site, 'Naver Movie'. Users were required to complete a survey regarding reviews and comments taken from the real movie page. The data reflected user's perceptions of online WOM information that determined users' adoption level. Analysis results provide empirical support for the proposed theoretical perspective. When user can't agree with the opinion of online WOM information, in other words, when cognitive dissonance between online WOM information and users' preference occurs, perceived self-efficacy significantly decreases customers' perception of usefulness. And this perception of usefulness plays an important role in determining users' intention to adopt online WOM information. Most of researches have been concentrated on characteristics of online WOM itself such as quality or vividness of information, credibility of source and direction of online WOM, etc. for describing effect of online WOM, but our results suggest that users' personal character (e.g., self-efficacy) plays decisive role for acceptance of online WOM information. Higher self-efficacy means lower possibility to accept the information that represents counter opinion because of cognitive dissonance, whereas the people that have lower self-efficacy are willing to accept the online WOM information as true and refer to purchase decision. This study suggests a model for understanding role of direction of online WOM information. Also, our result implicates the importance of online review supervision and personalized information service by confirming switching opinion negative to positive is more difficult than positive to negative through the online WOM information. This implication would help marketers to manage online reviews of their products or services.

• 한국통신학회논문지
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• 제35권2C호
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• pp.246-253
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• 2010

본 논문에서는 자체발성음을 이용한 실내공간정보 획득과 이를 이용한 공간뒤틀림 및 상호간섭 제거기법을 제안하였다. 제안한 기법은 자체발성음 기반 청취자 위치추적 부분과 공간뒤틀림 및 상호간섭 제거 부분으로 구성된다. 각기 다른 아는 위치에 있는 마이크로 수신한 청취자 자체발성음의 도달지연시간차를 추정-상관기를 사용해 추정하고, 추정된 도달지연시간차를 사용해 테일러 급수 추정법으로 청취자 위치해를 구한다. 이렇게 얻은 공간정보를 바탕으로 청취자위치의 머리전달함수를 얻고, 이를 활용해 공간뒤틀림 및 상호간섭을 제거한다. 제안한 기법의 성능평가를 위해 남성 및 여성 각 50명씩, 모두 100명의 자체발성음 데이터베이스를 구축하였으며, 100명이 각각 10회씩 생성한 자체발성음을 위치추적 성능평가에 사용하였다. 평가결과 음향효과의 차이를 느끼지 못하는 평균제곱측위오차가 $0.07m^2$이내일 확률이 약 70%~90%로 나타났다. 그리고 공간뒤틀림 및 상호간섭 제거기법의 성능평가를 위해 실시한 주관평가에서 약 70%의 평가자가 음향효과가 개선된 것으로 평가하였다.

• 한국정밀공학회지
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• 제18권7호
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• pp.46-52
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• 2001

This study describes the precision control of the torque standard machine using a self-tuning fuzzy controller. The torque standard machine should generate the accurate torque for calibrating a torque sensor. In order to reduce the relative expanded uncertainty of the torque standard machine, when a weight is hanged to the end of the torque arm for generating the torque, the sloped torque arm should be accurately controlled to the horizontal level. If the slope of the torque arm is larger from the inaccurate control, the uncertainty of the torque standard machine due to control will be larger. This applies the inaccurate torque to a torque sensor to calibrate, and the measuring error of the torque sensor generate from it. Therefore the torque arm of the torque standard machine is accurately controlled. In this paper, the self-tuning fuzzy controller was designed using a fuzzy theory, and the torque arm of the torque standard machine was accurately controlled. The control gain of the fuzzy controller, that is the membership function size of the error, the membership function size of the error change and the membership function size of the controller were determined from the self-tuning. The control results of the torque standard machine were the overshoot within 0.0076mm, the rise time within 16.70sec and the steady state error within 0.0076mm.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제14권8호
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• pp.3168-3186
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• 2020

Automatic topic essay generation (TEG) is a controllable text generation task that aims to generate informative, diverse, and topic-consistent essays based on multiple topics. To make the generated essays of high quality, a reasonable method should consider both diversity and topic-consistency. Another essential issue is the intrinsic link of the topics, which contributes to making the essays closely surround the semantics of provided topics. However, it remains challenging for TEG to fill the semantic gap between source topic words and target output, and a more powerful model is needed to capture the semantics of given topics. To this end, we propose a pretraining-based contextual self-attention (PC-SAN) model that is built upon the seq2seq framework. For the encoder of our model, we employ a dynamic weight sum of layers from BERT to fully utilize the semantics of topics, which is of great help to fill the gap and improve the quality of the generated essays. In the decoding phase, we also transform the target-side contextual history information into the query layers to alleviate the lack of context in typical self-attention networks (SANs). Experimental results on large-scale paragraph-level Chinese corpora verify that our model is capable of generating diverse, topic-consistent text and essentially makes improvements as compare to strong baselines. Furthermore, extensive analysis validates the effectiveness of contextual embeddings from BERT and contextual history information in SANs.

• 대한전기학회논문지:전기물성ㆍ응용부문C
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• 제51권4호
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• pp.169-174
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• 2002

This paper presents a high-resolution capactive microaccelerometer using branched finger electrodes with high-amplitude sense voltage. From the fabricated microacceleromcter, the total noise is obtained as 9 $\mu\textrm{g}$/√Hz at the sense voltage of 16.5V, while the conventional microaccelerometers have shown the noire level of 25~800 $\mu\textrm{g}$/√Hz. We reduce the mechanical noise level of the microaccelerometer by increasing the proof-class based on deep RIE process of an SOI wafer. We reduce the electrical noise level by increasing the amplitude of AC sense voltage. The nonlinearity problem caused by the high-amplitude sense volage has been solved by a new electrode design of branched finger type, resulting in self force-balancing effects for the enhanced linearity and bandwidth. The fabricated microaccelerometer shows the electrical noise of 2.4 $\mu\textrm{g}$/√Hz at the sense voltage of 16.5V, which is an order of magnitude reduction of the electrical noise of 24.3 $\mu\textrm{g}$/√Hz measured at 0.9V. For the sense voltage higher than 2V, the electrical noise of the microaccelerometer is lower than the voltage-independent mechanical noise of 11 $\mu\textrm{g}$/√Hz. Total noise, composed of the electrical noise and the mechanical noire, has been measured as 9 $\mu\textrm{g}$/√Hz at the sense voltage of 16.5V, which is 31% of the total noise of 28.6 $\mu\textrm{g}$/√Hz at the sense voltage 0.9V. The self force-balancing effect in the blanched finger electrodes increases the stiffness of the microaccelerometer from 1.1N/m to 1.61N/m as the sense voltage increases from 0V to 17.8V, thereby generating additional stiffness at the rate of 0.0016$\pm$0.0008 N/m/V$^2$.