• The Journal of Korean Institute of Communications and Information Sciences
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• v.38C no.6
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• pp.521-530
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• 2013

This paper proposes a task parallelism system (BioMP) to improve applications' execution time of multicore based mobile device. When application developers append the functions of parallel specification into the existing software, our proposed system supports the parallel processing of threads as well as a compatibility. BioMP improves the software in order that an existing large-scale source can recognize the multicore architecture. From our experiment, our idea improved the execution time of application until about 64% against the existing system in multicore environment based on quad core. In addition, BioMP does not require any additional modification of a mobile platform because BioMP is independent component. Consequently, when application developers release multicore-aware applications into the application store, users can immediately run without any modification of the mobile device.

• Journal of Biomedical Engineering Research
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• v.27 no.4
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• pp.154-163
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• 2006

A 64-channel magnetocardiogram (MCG) system using low-noise superconducting quantum interference device (SQUID) planar gradiometers was developed for the measurements of cardiac magnetic fields generated by the heart electric activity. Owing to high flux-to-voltage transfers of double relaxation oscillation SQUID (DROS) sensors, the flux-locked loop electronics for SQUID operation could be made simpler than that of conventional DC SQUIDs, and the SQUID control was done automatically through a fiber-optic cable. The pickup coils are first-order planar gradiometers with a baseline of 4 em. The insert has 64 planar gradiometers as the sensing channels and were arranged to measure MCG field components tangential to the chest surface. When the 64-channel insert was in operation everyday, the average boil-off rate of the dewar was 3.6 Lid. The noise spectrum of the SQUID planar gradiometer system was about 5 fT$_{rms}$/$\checkmark$Hz at 100 Hz, operated inside a moderately shielded room. The MCG measurements were done at a sampling rate of 500 Hz or 1 kHz, and realtime display of MCG traces and heart rate were displayed. After the acquisition, magnetic field mapping and current mapping could be done. From the magnetic and current information, parameters for the diagnosis of myocardial ischemia were evaluated to be compared with other diagnostic methods.

• 한국생물공학회:학술대회논문집
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• 2005.10a
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• pp.737-738
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• 2005

• 한국초전도학회:학술대회논문집
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• 2008.08a
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• pp.54-54
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• 2008

• Journal of KIISE:Software and Applications
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• v.31 no.9
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• pp.1226-1232
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• 2004

Biometric authentication is rising technology for the security market of the next generation. But most of biometric systems are developed using only one of various biological features. Recently, there is a vigorous research for the standardization of various biometric systems. In this paper, we propose a web-based authentication system using three other verifiers based on functional, parametric, and structural approaches for one biometrics of handwritten signature, which is conformable to a specification of BioAPI introduced by BioAPI Consortium for a standardization of biometric technology. This system is developed with a client-server structure, and clients and servers consist of three layers according to the BioAPI structure. The proposed neb-based multiple authentication system of one biometrics can be used to highly increase confidence degree of authentication without additional several biological measurements, although rejection rate is a little increased. That is, the false accept rate(FAR) decreases on the scale of about 1:40,000, although false reject rate(FRR) increases about 2.7 times in the case of combining above three signature verifiers. So the proposed approach can be used as an effective identification method on the internet of an open network. Also, it can be easily extended to a security system using multimodal biometrics.

• Journal of Biosystems Engineering
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• v.43 no.1
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• pp.14-20
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• 2018

Purpose: The purpose of this study was to investigate the performance of a vacuum pyrolysis system, to analyze bio-oil characteristics, and to examine the applicability for farm-scale capacity. Methods: The biomass was pyrolyzed at 450, 480, and $490^{\circ}C$ on an electric heat plate in a vacuum reactor. The waste heat from the heat exchanger of the reactor was recycled to evaporate water from the bio-oil. The chemical composition of the bio-oil was analyzed by gas chromatography-mass spectrometry (GC-MS). Results: According to the analysis, the moisture content (MC) in the bio-oil was approximately 9%, the high heating value (HHV) was approximately 26 MJ/kg, and 29 compounds were identified. These 29 compounds consisted of six series of carbohydrates, 17 series of lignins, and six series of resins. Conclusions: Owing to low water content and the oxygen content, the HHV of the bio-oil produced from the vacuum reactor was higher by about 6 MJ/kg than that of the bio-oil produced from a fluidized bed reactor.

• Genomics & Informatics
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• v.7 no.1
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• pp.49-51
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• 2009

Although abundant biology data have been accumulated in public biology databases, such as GenBank and PIR, few easy-interface services are provided for users to access or update them. We have developed a system, named BioStore, that is composed of several programs to aid users to not only access public data but also share their own data easily. The service can be used for maintaining a local database as a repository of raw data files of several public databases and distributing the data files to other users. Currently, BioStore manipulates major bio-databases and will expand to include more databases and more useful interfaces.

• Bulletin of the Korean Chemical Society
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• v.33 no.6
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• pp.1827-1828
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• 2012

• Proceedings of the Korea Information Processing Society Conference
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• 2022.05a
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• pp.524-527
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• 2022

본 연구에서는 머신러닝(Machine Learning, ML)과 딥러닝(Deep Learning, DL) 모델을 앙상블(Ensemble)하여 어떠한 주가 예측 방법이 우수한지에 대한 연구를 하고자 한다. 연구에 사용된 모델은 하이퍼파라미터(Hyperparameter) 조정을 통하여 최적의 결과를 출력한다. 앙상블 방법은 머신러닝과 딥러닝 모델의 앙상블, 머신러닝 모델의 앙상블, 딥러닝 모델의 앙상블이다. 세 가지 방법으로 얻은 결과를 평균 제곱근 오차(Root Mean Squared Error, RMSE)로 비교 분석하여 최적의 방법을 찾고자 한다. 제안한 방법은 주가 예측 연구의 시간과 비용을 절약하고, 최적 성능 모델 판별에 도움이 될 수 있다고 사료된다.

• Maxillofacial Plastic and Reconstructive Surgery
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• v.28 no.1
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• pp.58-67
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• 2006

In the recent studies, many authors have reported that the success rate of immediate implantation has no difference compared to conventional staged implantation. Although the immediate implantation has many advantages over conventional approach, many clinicians don't seem to practice because they think that most of the extraction sockets will have some bony gab with defects around implant and that this situation makes the result of immediate implantation unpredictable. We clinically analyzed 23 implanted sites of 18 patients treated with immediate implantation in our hospital from September 2003 to January 2004. The $ITI^{(R)}$. dental implant system was used and GBR procedure with $Bio-Oss^{(R)}$. and $Bio-Gide^{(R)}$. was done simultaneously. The pre & post-op. measurements were recorded such as alveolar crest-adjacent tooth CEJ distance, gingival crest-adjacent tooth CEJ distance, existence of periapical lesion, vertical defect around the extraction socket, horizontal defect around the extraction socket, probing depth, radiologic change of alveolar crest height. We report a positive outcome about immediate implantation with review of literatures.