• 제어로봇시스템학회:학술대회논문집
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• 1996.10b
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• pp.734-738
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• 1996

An adaptive output feedback controller is designed for tracking control of an n-link robot manipulator with unknown load. High-gain observers with same structure as error dynamic systems are used to estimate joint velocities. The parameter adaptation is achieved by the smoothed projection algorithm. The control inputs are saturated outside a domain of interest. Simulation results on a 2-link manipulator illustrate that when the speed of the high-gain observer is sufficiently high, the proposed controller recovers the performance under state feedback control.

• Proceedings of the Korea Information Processing Society Conference
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• 2024.05a
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• pp.888-890
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• 2024

딥러닝의 발전으로 인공지능의 실세계 응용이 다방면으로 확대되고 있다. 하지만 학습에 사용된 소스 도메인 데이터와 테스트에 사용된 타겟 도메인 데이터 간의 분포 차이로 인해 모델의 성능이 크게 저하될 수 있다. 이를 극복하기 위해 도메인 적응 방법이 제안되었으나, 소스 도메인 데이터에 접근할 수 없는 경우 적용에 한계가 있다. 이에 대응하여 소스 데이터가 필요 없는 소스-프리 도메인 적응 기술과 실시간으로 적응하는 테스트 시간 적응 방법이 연구되고 있다. 본 논문은 최신 소스-프리 도메인 적응 및 테스트 시간 적응 방법의 동향을 파악하고 각 방법론의 기술적 특징을 분석하고자 한다.

• Proceedings of the Acoustical Society of Korea Conference
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• 1985.10a
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• pp.87-94
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• 1985

In this paper, enhancement of speech corrupted by additive white or colored noise is stuided. The nuconstrained frequency-domain block least-mean-square (UFBLMS) adaptation algorithm and its frequency-weighted version are newly applied to speech enhancement. For enhancement of speech degraded by white noise, the performance of the UFBLMS algorithm is superior to the spectral subtraction method or Wiener filtering technique by more than 3 dB in segmented frequency-weighted signal-to-noise ratio(FWSNERSEG) when SNR of speech is in the range of 0 to 10 dB. As for enhancement of noisy speech corrupted by colored noise, the UFBLMS algorithm is superior to that of the spectral subtraction method by about 3 to 5 dB in FWSNRSEG. Also, it yields better performance by about 2 dB in FWSNR and FWSNRSEG than that of time-domain least-mean-square (TLMS) adaptive prediction filter(APF). In view of the computational complexity and performance improvement in speech quality and intelligibility, the frequency-weighted UFBLMS algorithm appears to yield the best performance among various algorithms in enhancing noisy speech corrupted by white or colored noise.

• Annual Conference on Human and Language Technology
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• 2000.10d
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• pp.163-168
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• 2000

기계번역에서 좋은 품질의 번역 결과를 얻기 위해서는 대상으로 하고 있는 전문 영역에 맞게 시스템의 번역 지식을 조정해야 한다. 본 연구에서는 대상 영역 코퍼스를 이용하여 기계번역 시스템의 특정 영역화를 지원하는 워크벤치를 설계하고 구현한다. 워크벤치는 대상 영역의 코퍼스에서 대상 영역의 지식을 추출하는 영역 지식 추출기와, 추출된 지식을 사용자에게 제시하여 사용자가 사전을 편집할 수 있는 환경을 제공하는 영역 지식 검색기와 사전 편집기로 구성된다. 구현된 워크벤치를 이용하여 일반 영역 사전을 군사 정보 영역으로 특정 영역화를 해 본 결과, 효율성과 정확성에서의 향상이 있었다.

• Journal of Korea Society of Digital Industry and Information Management
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• v.15 no.1
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• pp.99-107
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• 2019

Retinex-based image enhancement is a technique that utilizes the property that the human visual characteristics are sensitive to the difference from the surrounding pixel value rather than the pixel value itself. These Retinex-based algorithms show different characteristics of the improved image depending on the applied color space or gamma correction. In this paper, we set eight different experimental conditions according to the application of color space and gamma correction, and analyze the objective and subjective performance of each Retinex based image enhancement algorithm and apply it to the implementation of Retinex based algorithm. In the case of gamma correction, quantitative low entropy images and low contrast images are obtained. The application of Retinex technique in HSI color space rather than RGB color space is found to be high in overall subjective image quality as well as maintaining color.

• Journal of Korean Clinical Nursing Research
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• v.22 no.2
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• pp.118-131
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• 2016

Purpose: This study was conducted to develop a useful evidence-based guideline for preventing venous thromboembolism(VTE) in Korea adapting previously developed VTE guidelines. Methods: The guideline adaptation process was performed using 24 steps according to the nursing practice guideline adaptation manual developed by Hospital Nurses Association in 2012. Results: The newly developed VTE prevention guideline was consisted of 16 domains and 163 recommendations. The number of recommendations in each domain were: 4 general issues, 4 risk factors, 2 intervention at occurrence of VTE, 14 mechanical interventions, 30 pharmacological interventions, 19 VTE prevention for medical patient, 10 stroke patient, 16 cancer patient, 14 pregnancy, 6 for long distance traveller, 5 for abdominal surgery, 10 thoractic surgery, 10 orthopedic surgery, 5 neurosurgery, 4 other surgical patient, 2 urological surgery, 1 ENT surgery, 1 plastic surgery, 3 day surgery, 3 education of VTE prevention. Fourteen point three percent, 61.1%, and 24.6% of the recommendations were graded A, B, and C, respectively. Conclusion: The findings suggest that the new VTE prevention guideline can be more efficiently used to prevent VTE in hospital settings.

• The Transactions of the Korea Information Processing Society
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• v.6 no.1
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• pp.96-106
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• 1999

Case-Base Reasoning(CBR) solves the new problems by reusing the solutions to previously solved problems. But, there are differences between previously known case and a new problems. To solve this problem Case-Based System have to adapt the solution of the case to suit a new situation. In current CBR systems, case adaptation is usually performed by rule-based method that use rules hand-coded by the system developer. So, CBR system designer faces knowledge acquisition bottleneck akin to those found in traditional expert system design. To solve this problem, in this thesis, we present an automatic learning method of case adaptation knowledge using case base, we use a method of comparing cases in the case base to learn adaptation knowledge. The system is tested in the domain for the decision of travel-price. The result shows accuracy improvement in comparison with case retrieval-only system.

• Journal of Korean Clinical Nursing Research
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• v.25 no.1
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• pp.1-14
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• 2019

Purpose: This study was done to develop a evidence-based guideline for pain assessment and management in Korea by adapting previously developed pain guidelines. Methods: The guideline adaptation process was conducted using 24 steps according to the guideline adaptation manual developed by Hospital Nurses Association in 2012. Results: The newly developed pain management guideline consisted of 9 domains and 234 recommendations. The number of recommendations in each domain was: 13 general instruction items, 51 pain assessments, 14 pain interventions, 66 pharmacological interventions for acute pain, 41 pharmacological interventions for chronic cancer pain, 35 pharmacological interventions for chronic noncancer pain, 21 non-pharmacological interventions, 2 documentations, 10 nursing education items, for pain. Conclusion: The findings suggest that the new pain management guideline can be used to address pain in hospital settings.

• Journal of Broadcast Engineering
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• v.8 no.1
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• pp.30-36
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• 2003

According to an evolution of image and video compression technologies, most digital images are in the compressed form. Resizing of these compressed images have various applications such as transmission of resized image according to varying bandwidth, content adaptation for display purpose and etc. Discrete Cosine Transform (DCT) is the most popular transformation for image compression. Recently, several researches have been performed to obtain the reconstructed image of original size in the DCT domain after downsampling and upsampling in the DCT domain. Main focus of these researches is to improve quality of the reconstructed image after downsampling and upsampling in the DCT domain In this paper, we present an modified IDCT method to downsize DCT-encoded image. Furthermore, we propose an efficient scheme for image downsampling and upsampling in the DCT domain With these modified IDCT method. The proposed scheme Provides higher PSNR values than the existing schemes In terms of the reconstructed image after halving and doubling in the DCT domain.

• The KIPS Transactions:PartD
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• v.16D no.5
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• pp.747-754
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• 2009

Software product line engineering is an approach to creating core assets by systematically exploits common that can be highly reusableand different characteristics in related system families that is domain. By adapting this approachin object and component paradigm, software productivity is extended. Recently, Software development paradigm is changed to service oriented paradigm which is using services that are core assets. Therefore, to develop service oriented software more flexible, systematic and to enhance business agility about business changes, we need adaptation of product line to creation of services that are core assets. In this paper, we propose an approach to create and specify domain service through combine of product line and service oriented paradigm. Domain service explicitly specifies commonality and variability by domain service common/optional property variability, operation type variability, message type variability. By using this approach, it can support efficient and flexible service oriented development by producing various services through customization of domain service for the purpose.