• Journal of Information Processing Systems
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• 제14권6호
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• pp.1494-1507
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• 2018

Intelligent human identification using face information has been the research hotspot ranging from Internet of Things (IoT) application, intelligent self-service bank, intelligent surveillance to public safety and intelligent access control. Since 2D face images are usually captured from a long distance in an unconstrained environment, to fully exploit this advantage and make human recognition appropriate for wider intelligent applications with higher security and convenience, the key difficulties here include gray scale change caused by illumination variance, occlusion caused by glasses, hair or scarf, self-occlusion and deformation caused by pose or expression variation. To conquer these, many solutions have been proposed. However, most of them only improve recognition performance under one influence factor, which still cannot meet the real face recognition scenario. In this paper we propose a multi-scale parallel convolutional neural network architecture to extract deep robust facial features with high discriminative ability. Abundant experiments are conducted on CMU-PIE, extended FERET and AR database. And the experiment results show that the proposed algorithm exhibits excellent discriminative ability compared with other existing algorithms.

• Journal of Microbiology and Biotechnology
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• 제34권3호
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• pp.681-688
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• 2024

The accurate and rapid detection of methicillin-resistance of Staphylococcus aureus (SA) holds significant clinical importance. However, the methicillin-resistance detection strategies commonly require complicated cell lysis and gene extraction. Herein, we devised a novel colorimetric approach for the sensitive and accurate identification of methicillin-resistance of SA by combining allosteric probe-based target recognition with self-primer elongation-based target recycling. The PBP2a aptamer in the allosteric probe successfully identified the target MRSA, leading to the initiation of self-primer elongation based-cascade signal amplification. The peroxidase-like hemin/G-quadruplex undergo an isothermal autonomous process that effectively catalyzes the oxidation of ABTS2- and produces a distinct blue color, enabling the visual identification of MRSA at low concentrations. The method offers a shorter duration for bacteria cultivation compared to traditional susceptibility testing methods, as well as simplified manual procedures for gene analysis. The overall amplification time for this test is 60 min, and it has a detection limit of 3 CFU/ml. In addition, the approach has exceptional selectivity and reproducibility, demonstrating commendable performance when tested with real samples. Due to its advantages, this colorimetric assay exhibits considerable potential for integration into a sensor kit, thereby offering a viable and convenient alternative for the prompt and on-site detection of MRSA in patients with skin and soft tissue infections.

• 영재교육연구
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• 제23권2호
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• pp.257-273
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• 2013

최근 영재교육의 핫 이슈 중 하나는 단위학교 영재학급의 급격한 증가이다. 영재교육의 양적 성장이라는 긍정적인 평가와 함께 단위학교 영재학급이 본격적으로 운영되면서 단위학교 영재학급에서 선발되고 있는 학생들의 영재성에 대한 의문이 지속적으로 제기되고 있는 것도 사실이다. 이에 본 연구에서는 단위학교 영재학급 선발방식에 따른 영재 특성(지능, 창의성, 동기 및 자기조절 학습전략)을 비교하여 현재 단위학교 영재학급 선발방식의 문제점을 확인하고 보다 유용한 단위학교 영재학급 교육대상자 선발방법을 강구하는 데 그 목적을 두었다. 연구대상은 각기 다른 방식(선발시험, 혼합, 성취도, 희망)으로 선발된 단위학교 영재학급 4학년, 6학년 학생 402명, 지역교육청 영재교육원 6학년 학생 50명, 일반 학생 4학년, 6학년 학생 142명을 포함하여 총 594명이다. 이들을 대상으로 지능, 창의성, 동기 및 자기조절 학습전략 검사를 실시하고 집단 간 차이를 알아보기 위해 SPSS 프로그램을 사용하여 일원분산분석을 실시하였다. 연구의 결과를 요약하면 단위학교 영재학급 영재는 영재 특성에 있어 지역교육청 영재교육원 영재와 차이가 없었으며 일반학생들과는 유의미한 차이가 있었다. 또한 단위학교 영재학급의 다양한 선발방식(선발시험, 혼합, 성취도, 희망)에 따라 영재의 특성에 차이가 있음을 알 수 있었다. 특히 희망에 의한 선발은 지능, 창의성, 동기 및 자기조절 학습전략 전반에서 다른 선발방식과 유의미한 차이를 나타내어 영재선발방식으로서의 타당성에 문제가 있을 수 있음을 시사하였다. 본 연구의 결과는 단위학교 영재학급의 선발방식 개선 맥락에서 심도 깊게 논의되었다.

• 한국정보시스템학회지:정보시스템연구
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• 제30권4호
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• pp.119-152
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• 2021

The concept of Self-Sovereign Identity (SSI) has emerged to overcome the limitations of traditional centralized personal identity management systems in our society. Therefore, in this study, 36 seminal researches out of 112 collected studies were investigated with a systematic literature review method to deliver a core common definition as well as the research trends on SSI in the socioeconomic, legal and technological fields. SSI studies in the legal field have mainly considered the conflicts with relevant laws such as General Data Protection Regulation (GDPR) and privacy protection laws. The study of SSI in the technology field have looked at the trends of the technical components to implement SSI and discussed the necessities of establishing standards to increase interoperability for SSI diffusion worldwide. This study ultimately derived the core definition of SSI from a various academic fields as "a trust-based personal identity management system that enables autonomous self-identification by a identity owner without a centralized system or 3rd party intervention". The results of this study contribute to the understanding of the essential SSI concept which were varied on different research fields and industries. The results also provide a foundation for discovering various SSI-based business models, applications as well as future research opportunities. Furthermore, this study suggested that SSI must be developed with interdisciplinary manner among the socioeconomic, legal, and technological fields to be practically applicable system to enable autonomous self-identification by a identity owner in our society.

• 한국전자거래학회지
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• 제27권2호
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• pp.79-103
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• 2022

코로나19는 사회 구성원 간의 대면 네트워킹 활동을 최소화하는 것을 강요하고 있으며, 구성원들은 온라인 플랫폼 사용을 높이고 있다. 특히, 현실감을 강화한 가상 커뮤니티인 메타버스에 대한 관심이 높아지고 있다. 본 연구의 목적은 사용자 관점에서 메타버스의 지속적 활용 방안을 제시하는 것이다. 이에, 연구는 자기결정성 이론을 활용하여 메타버스 사용자의 지속적 이용 의도 향상에 미치는 매커니즘을 제시하고, 메타버스 구성원 간의 신뢰가 자기결정성과 동기 간의 관계를 조절하는 것을 확인한다. 연구는 메타버스를 사용한 경험이 있는 사람들을 대상으로 설문을 통해 353개의 표본을 확보하였으며, 구조방정식모델링을 통해 가설을 검증하였다. 분석 결과, 메타버스에 대한 개인의 자기결정성이 동일시, 즐거움과 같은 내적 동기를 형성하여 지속적 이용 의도에 영향을 주었으며, 메타버스 구성원 신뢰가 부분적으로 자기결정성과 동기간의 관계를 조절하였다. 연구의 결과는 메타버스 지속적 이용 의도 향상을 위한 사용자 및 환경 차원의 접근 방향을 제시함으로써, 메타버스 플랫폼의 지속성을 위한 전략 수립에 기여 한다.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1994년도 Proceedings of the Korea Automatic Control Conference, 9th (KACC) ; Taejeon, Korea; 17-20 Oct. 1994
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• pp.243-246
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• 1994

In this paper, a self-learning fuzzy controller is designed with a fuzzy approximation of an inverse model. The aim of an identification is to find an input command which is control of a system output. It is intuitional and easy to use a classical adaptive inverse modeling method for the identification, but it is difficult and complex to implement it. This problem can be solved with a fuzzy approximation of an inverse modeling. The fuzzy logic effectively represents the complex phenomena of the real world. Also fuzzy system could be represented by the neural network that is useful for a learning structure. The rule of a fuzzy inverse model is modified by the gradient descent method. The goal is to be obtained that makes the design of fuzzy controller less complex, and then this self-learning fuzz controller can be used for nonlinear dynamic system. We have applied this scheme to a nonlinear Ball and Beam system.

• Journal of Power Electronics
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• 제15권6호
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• pp.1567-1576
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• 2015

Offline inductance identification of a permanent magnet synchronous motor (PMSM) is essential for the design of the closed-loop controller and position observer in sensorless vector controlled drives. On the base of the offline inductance identification method combining direct current (DC) offset and high frequency (HF) voltage injection which is fulfilled at standstill, this paper investigates the inverter nonlinearity effects on the inductance identification while considering harmonics in the induced HF current. The negative effects on d-q axis inductance identifications using HF signal injection are analyzed after self-learning of the inverter nonlinearity characteristics. Then, both the voltage error and the harmonic current can be described. In addition, different cases of voltage error distribution with different injection conditions are classified. The effects of inverter nonlinearities on the offline inductance identification using HF injection are validated on a 2.2 kW interior PMSM drive.

• 한국전자현미경학회:학술대회논문집
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• 한국현미경학회 2007년도 제38차 춘계학술대회 초록집
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• pp.94-95
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• 2007

• 의학교육논단
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• 제19권2호
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• pp.101-108
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• 2017

When participating in problem-based learning (PBL), it is important for medical students to generate claims and provide justifications for their claims in small group discussions. This study aimed to investigate the effect of argumentation instruction on medical student learning experiences with PBL. A total of one hundred first-year preclinical students from Inje University College of Medicine, who had attended argumentation instruction, participated in this study. All of the participants completed a 5-point Likert scale questionnaire regarding their learning experiences with PBL, before and after the argumentation instruction. The questionnaire comprised 22 items with eight subcategories: argumentation activity, reflection, integration of basic and clinical science, identification of lack of knowledge, logical thinking, self-directed study, communication, and attitude toward discussion. The collected data were analyzed through a paired-sample t-test. The results of this study found that the argumentation instruction promoted the preclinical students' experiences with argumentation activities, reflection, an integration of basic and clinical science, the identification of their lack of knowledge, logical thinking, and self-directed study, and it increased positive attitudes toward group discussion. The findings suggest argumentation instruction can enhance medical student group discussions and help students achieve the objectives of PBL, including acquisition of basic and clinical science knowledge and development of clinical reasoning and self-directed learning abilities, which can highlight the meaningful learning experiences students have with PBL.

• 무역학회지
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• 제44권3호
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• pp.85-104
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• 2019

As exporting countries are limited compared to the export market of civilian industries, an approach should be preceded by a comprehensive evaluation of the purchasing availability of exportable markets and the status of potential competitive markets, as well as an analysis of the technology related to weapons systems. Based on the case of K9 self-propelled howitzers, a leading overseas export weapons system, this research was conducted to clarify the process of selecting the export market for Korean defense products and to verify it using a survey of weapons systems experts. In particular, this study specifically suggested the methodology needed to select the final exportable market through the analysis procedures such as competition and similar weapons systems, key performance identification, and identification of export-oriented markets, while considering the characteristics of the Defense Industrial Products. Based on these analysis results, the government proposed a method of selecting a major export market to enhance the possibility of weapons exports by domestic defense companies. Therefore, the study results can be used as a basis for objectively assessing the priorities for exportable markets, considering the possibility of exporting weapons systems that are under research and development or will be improved in the future.