• Proceedings of the IEEK Conference
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• 2003.07a
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• pp.481-484
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• 2003

OFDM(Orthogonall Frequency Division Multiplexing) is an efficient transmission techniques for the frequency selective fading wireless channel where conventional modulations suffer from severe performance degradation. Recently, more efficient techniques for the OFDM are paid much attention such as adaptive modulation for each subcarrier, since more bit rate has been required for the wireless data network [1-3]. The proposed system employs the adaptive modulation between transmitter and receiver in each subcarrier, where the bit and power is properly allocated. Also multiple antenna system called MIMO is considered, which result in robustness in channel delay, improved power efficiency and improved bit SNR for the given BER.

• Korean Journal of Child Studies
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• v.24 no.6
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• pp.1-14
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• 2003

In contrast with Zelazo and Frye (1997) who argued that preschool children lack the conscious representation and executive functioning needed to solve problems based on conflicting rules, Bilaystok (1999) identified analysis(representation) and control(selective attention) as components of language processing and has shown that control develops earlier in bilingual than in monolingual children. This study investigated the effects of bilingualism on children's cognitive ability and language development by comparing Korean- Chinese bilingual with Chinese monolingual children in Yanji. Sixty children 3 to 5 years of age in each of the bilingual and the monolingual groups in Yanji, China participated in ths study. Results showed that bilingual were more advanced than monolingual children in solving problems requiring a high level of control, confirming Bialystok's(1999) results.

• Culinary science and hospitality research
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• v.13 no.3
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• pp.239-251
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• 2007

The purpose of this study is to examine the service quality satisfaction in the franchisor-franchisee relation. For the result of this study, we studied the franchisees' answers to the questionnaires about franchisors' service quality. Through this study, we showed the basic data about the selective criteria of the franchisors' service quality. Based on this study, it can be concluded that there are differences in their service quality. The most effective factors of the franchisor's service quality are personnel service(0.510) and menu service(0.390). The finding is $R^2$ -0.489. Therefore, franchisor should pay attention to competent labor service and new menu development. Each factor affects satisfaction with franchisee's service quality, but only convenience and location are not affected.

• Journal of Sensor Science and Technology
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• v.13 no.3
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• pp.224-229
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• 2004

In this paper, we propose a new Active Noise Control (ANC) system using a teacher forced Blind Source Separation (BSS) algorithm. The Blind Source Separation based on the Independent Component Analysis (ICA) separates the desired sound signal from the unwanted noise signal. In the proposed system, the BSS algorithm is used as a preprocessor of ANC system. Also, we develop a teacher forced BSS learning algorithm to enhance the performance of BSS. The teacher signal is obtained from the output signal of the ANC system. Computer experimental results show that the proposed ANC system in conjunction with the BSS algorithm effectively cancels only the ship engine noise signal from the linear and convolved mixtures with human voice.

• The Journal of the Acoustical Society of Korea
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• v.18 no.6
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• pp.3-8
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• 1999

In this paper, we propose a new active noise control system that cancels the only noise signal from the mixture selectively. A blind source separation realized by a dynamic recurrent neural network is used as a preprocessor of the active noise control system and separates the desired signal and the noise signal. The active noise control system adaptively generates an anti-noise signal to remove the only noise signal separated by the blind source separation. Computer simulation results show that the proposed scheme is effective to construct a selective attention system.

• Annual Conference of KIPS
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• 2017.11a
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• pp.865-868
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• 2017

일반적으로 비디오로부터 캡션을 생성하는 작업은 입력 비디오로부터 특징을 추출해내는 과정과 추출한 특징을 이용하여 캡션을 생성해내는 과정을 포함한다. 본 논문에서는 효과적인 비디오 캡션 생성을 위한 심층 신경망 모델과 그 학습 방법을 소개한다. 본 논문에서는 입력 비디오를 표현하는 시각 특징 외에, 비디오를 효과적으로 표현하는 동적 의미 특징과 정적 의미 특징을 입력 특징으로 이용한다. 본 논문에서 입력 비디오의 시각 특징들은 C3D, ResNet과 같은 합성곱 신경망을 이용하여 추출하지만, 의미 특징은 본 논문에서 제안하는 의미 특징 추출 네트워크를 활용하여 추출한다. 그리고 이러한 특징들을 기반으로 비디오 캡션을 효과적으로 생성하기 위하여 선택적 주의집중 캡션 생성 네트워크를 제안한다. Youtube 동영상으로부터 수집된 MSVD 데이터 집합을 이용한 다양한 실험을 통해, 본 논문에서 제안한 모델의 성능과 효과를 확인할 수 있었다.

• Nuclear Engineering and Technology
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• v.48 no.1
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• pp.129-143
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• 2016

Sometimes, we need or try to figure out somebody's thoughts from his or her behaviors such as eye movement, facial expression, gestures, and motions. In safety-critical and complex systems such as nuclear power plants, the inference of operators' thoughts (understanding or diagnosis of a current situation) might provide a lot of opportunities for useful applications, such as development of an improved operator training program, a new type of operator support system, and human performance measures for human factor validation. In this experimental study, a novel method for inference of an operator's thoughts from his or her eye movement data is proposed and evaluated with a nuclear power plant simulator. In the experiments, about 80% of operators' thoughts can be inferred correctly using the proposed method.

• Proceedings of the Korean Information Science Society Conference
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• 2005.07b
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• pp.817-819
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• 2005

본 논문은 사람이나 로봇이 자율보행을 하기 위해서 시각적으로 한 곳을 집중적으로 선택하도록 하기 위한 논문이다. 동물들이 효율적인 시각 정보 수집을 위해 사용하는 선택적 주의 처리 기법을 기본으로, 깊이정보를 이용하여 여러 개의 주의시선 중 한 곳을 선택하도록 하는 방법을 제안하였으며, 이를 이용한 실험 결과 깊이정보를 이용한 선택적 주의 처리 기법이 유용함을 알 수 있었다. 향후 연구과제는 보행하는데 필요한 정보를 한 번의 계산으로 깊이에 따라 차례대로 정할 수 있는 3차원 맵을 만드는 것이 될 것이다.

• Korean Journal of Psychosomatic Medicine
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• v.3 no.2
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• pp.185-196
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• 1995

The author reviewed cognitive-behavioral approach to A type behavior pattern and hypertension which are known to be risk factors for coronary heart diseases. Those cognitive distortions frequently found in persons with A type behavior include all-nothing thinking, selective attention, personalization, and attribution of causality. Cognitive-behavioral techniques were also described, which can be applied to management of each characteristic of A type behavior pattern such as time urgency, perfectionism, achievement striving, low self-esteem, excessive work involvement, hostility, and depression. Cognitive-behavioral intervention for hypertension might help the patients to recognize and monitor anger-engendering conflicts, identify characteristic styles of responding, and experiment with alternative ways of managing conflict and anger. Since different features predominate in different individuals, it is necessary to develop treatment plan on the basis of individual characteristics and problems.

• Journal of Sensor Science and Technology
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• v.24 no.5
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• pp.281-286
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• 2015

The importance of air quality monitoring is rapidly increasing. Even though state-of-the-art air quality monitoring technologies such as mass spectrometry, gas chromatography, and optical measurement enable high-fidelity measurement of air pollutants, they cannot be widely used for portable or personalized platforms because of their high cost and complexity. Recently, personalized and localized environmental monitoring, rather than global and averaged environmental monitoring, has drawn greater attention with the advancement of mobile telecommunication technologies. Here, micro- and nano-technologies enable highly integrated and ultra-compact sensors to meet the needs of personalized environmental monitoring. In this paper, several examples of MEMS-based gas sensors for compact and personalized air quality monitoring are explained. Additionally, the principles and usage of functional nanomaterials are discussed for highly sensitive and selective gas sensors.