• Structural Monitoring and Maintenance
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• 제4권4호
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• pp.381-396
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• 2017

Structural health monitoring (SHM) is a necessity for reliable and efficient functioning of engineering systems. Damage detection (DD) is a crucial component of any SHM system. Lamb waves are a popular means to DD owing to their sensitivity to small damages over a substantial length. This typically involves an active sensing paradigm in a pitch-catch setting, that involves two piezo-sensors, a transmitter and a receiver. In this paper, we propose a data-intensive DD approach for beam structures using high frequency signals acquired from beams in a pitch-catch setting. The key idea is to develop a statistical learning-based approach, that harnesses the inherent sparsity in the problem. The proposed approach performs damage detection, localization in beams. In addition, quantification is possible too with prior calibration. We demonstrate numerically that the proposed approach achieves 100% accuracy in detection and localization even with a signal to noise ratio of 25 dB.

• 지식경영연구
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• 제9권1호
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• pp.147-161
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• 2008

In the previous KM (Knowledge Management) studies, it has been repeatedly pointed that CoP (Community of Practice) should be used as a platform for boosting up corporate innovative activities. Despite this, it is very rare to find relevant literature in which real-world cases are introduced showing critical success factors, implemented strategies, and objective analysis of results. In this sense, main objective of this paper is very timely- to introduce a real-world CoP case in which POSCO, world-leading steel company, sorted out creative CoP strategies to nurture knowledge-sharing activities to solve various kinds of problems at hand, and maintain appropriate level of knowledge circulation throughout all the working units of company. In a nutshell, POSCO has been successful in any measure in utilizing the creative CoP activities as strategic means to change the paradigm of innovation and extract fruitful outcomes from integrating three important individual activities such as work, learning, and innovation.

• 한국수학교육학회지시리즈D:수학교육연구
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• 제15권2호
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• pp.159-179
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• 2011

This paper reports on the learning journeys in mathematical problem solving of 21 teachers enrolled on a Masters of Education course entitled Discrete Mathematics and Problem Solving. It draws from the reports written by these teachers on their personal journeys: the commonalities and differences among them in terms of how they look at their own problem solving experiences, what language they employ in talking about problem solving, and what impact the course has on their views about problem solving. One particular aspect of problem solving instruction, a pedagogical innovation called the Practical Worksheet, is addressed in some detail. These graduate students are full-time mathematics teachers with at least two years of classroom experience. They include primary and secondary teachers.

• 영어어문교육
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• 제8권1호
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• pp.1-13
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• 2002

One of the benefits of the internet-assisted instruction is that it can improve L2 Learners' motivation to express themselves in English. The purpose of this paper is to investigate an effective approach to British-American fiction learning in Korean universities, which can emphasize communicative strategies drawing on video-conferencing system, a chat system(CUSeeMe), and an e-mail system. Students are passive participants who cannot assert their creativity in the traditional teaching method of British-American fiction, which mainly relies upon reading and translation far from literature lessons. In CCDL(Cross-cultural distance learning) class, students can play active roles in asserting their own ideas and assuming considerable responsibility for making a presentation in English. A professor can play a role as a coordinator in supporting the students' activities and in winding up the class. The main significance of this article lies in providing a paradigm for CCDL class beyond the limitation of the traditional teaching method of British-American fiction in Korea and futhermore in exploring the eclectic integration of the traditional one and CCDL.

• 교육시설 논문지
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• 제21권6호
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• pp.25-32
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• 2014

Korean academic libraries are facing serious space shortage problems due to an inability to accommodate for the rapidly increasing number of printed materials. Despite the current situation, Korean academic libraries have largely focused on impractical applications of the new library paradigm, using technology or management programs to improve the quality of research and learning environments of the university. However, such improvements would be fruitless without first resolving the space shortage crisis. In order to make realistic improvements to the quality of academic libraries, this study used questionnaires to employ the opinions of librarians currently practicing at such Korean libraries. Survey questionnaires about types and causes of space shortage problems, library facility expansion plans, expected effects of expansion, frequency of and reasons for furniture relocation, and tight spaces needing improvement were distributed to selected 4-year college librarians through Google Drive. Analysis of survey responses indicated that library space shortage was largely responsible for the hindrance of research and learning environments. Furthermore, it reflected the urgency to secure book storage space.

• 정보처리학회논문지B
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• 제10B권1호
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• pp.27-32
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• 2003

귀납법칙 생성 시스템은 데이터에서부터 법칙을 자동으로 발견하는 시스템으로서 현재 많은 연구가 진행되고 있다. 본 논문은 정보이론을 이용하여 데이터로부터 귀납법칙을 자동으로 생성하는 시스템을 제시하고 또한 귀납법칙 생성 시스템에 의하여 생성되는 규칙들 중에서 가장 좋은 성능을 보이는 규칙 집합을 구하기 위하여 이를 유전자 알고리즘과 결합시켜 최적화된 귀납법칙 집합을 탐색하는 방법을 제시하였다. 제안된 시스템의 성능을 평가하기 위하여 다수의 기계학습 데이터를 사용하여 기존의 다른 방법들과 비교하였으며, 제안된 시스템은 대부분의 경우에 좋은 정확도를 제공하였다.

• Advances in nano research
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• 제15권6호
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• pp.513-520
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• 2023

The exponential proliferation of cutting-edge computing technologies has spurred organizations to outsource their data and computational needs. In the realm of cloud-based computing environments, ensuring robust security, encompassing principles such as confidentiality, availability, and integrity, stands as an overarching imperative. Elevating security measures beyond conventional strategies hinges on a profound comprehension of malware's multifaceted behavioral landscape. This paper presents an innovative paradigm aimed at empowering cloud service providers to adeptly model user behaviors. Our approach harnesses the power of a Particle Swarm Optimization-based Probabilistic Neural Network (PSO-PNN) for detection and recognition processes. Within the initial recognition module, user behaviors are translated into a comprehensible format, and the identification of malicious nano-structures behaviors is orchestrated through a multi-layer neural network. Leveraging the UNSW-NB15 dataset, we meticulously validate our approach, effectively characterizing diverse manifestations of malicious nano-structures behaviors exhibited by users. The experimental results unequivocally underscore the promise of our method in fortifying security monitoring and the discernment of malicious nano-structures behaviors.

• International journal of advanced smart convergence
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• 제12권4호
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• pp.126-133
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• 2023

Recent advancements in cloud service virtualization technologies have witnessed a shift from a Virtual Machine-centric approach to a container-centric paradigm, offering advantages such as faster deployment and enhanced portability. Container orchestration has emerged as a key technology for efficient management and scheduling of these containers. However, with the increasing complexity and diversity of heterogeneous workloads and service types, resource scheduling has become a challenging task. Various research endeavors are underway to address the challenges posed by diverse workloads and services. Yet, a systematic approach to container orchestration for effective cloud management has not been clearly defined. This paper proposes the DRA-Engine (Dynamic Resource Allocation Engine) for resource scheduling in container orchestration. The proposed engine comprises the Request Load Procedure, Required Resource Measurement Procedure, and Resource Provision Decision Procedure. Through these components, the DRA-Engine dynamically allocates resources according to the application's requirements, presenting a solution to the challenges of resource scheduling in container orchestration.

• 대한방사선기술학회지:방사선기술과학
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• 제39권4호
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• pp.661-667
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• 2016

본 연구는 보건 계열 방사선과 학생들을 대상으로 스마트러닝 강의에 대한 학습법을 진행한 후에 스마트러닝 강의에 대한 설문조사를 토대로 학생들에게 학습효능감 및 학습만족도의 관계를 실증적으로 분석하여 학습 성과향상을 위한 시사점을 제시하고 실질적인 교육을 활성화할 수 있는 방안을 모색하고자 한다. 2016년 3월부터 6월까지 총 120명을 설문하여 응답자 수 102명(남자: 65명 여: 37명)의 설문지가 회수되었다. 자료 수집방법은 자가보고형 질문지 방식으로 진행하였으며, 자기주도적 학습능력은 5점 만점에 평균 $3.46{\pm}0.50$, 학업적 자기효능감은 6점 만점에 평균 $3.60{\pm}0.89$, 학습만족도는 5점 만점에 평균 $3.62{\pm}0.62$으로 나타났다. 자기주도적 학습능력은 학업적 자기효능감(r=0.639, p<0.01)과 학습만족도(r=0.435, p<0.01)와 통계적으로 유의한 상관관계가 있는 것으로 나타났다. 그리고 학업적 자기효능감은 학습만족도와 통계적으로 유의한 상관관계가 있는 것으로 나타났다(r=0.513, p<0.01). 스마트러닝을 통한 학습법을 진행하는 경우 자기주도적 학습능력, 학업적 자기 효능감, 학습 만족도에서 유의한 결과를 보여 주고 있으며, 스마트러닝을 통한 학습법의 인식과 필요성에 대해 긍정적인 반응이 나타났으며, 스마트러닝 학습법을 통한 학습만족도와 학업적 자기효능감의 유의한 상관관계를 통해 방사선과에서도 쌍방향 커뮤니케이션을 통한 강의법의 적용이 필요하다고 사료된다.

• 한국방사선학회논문지
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• 제11권4호
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• pp.279-287
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• 2017

스마트 학습법을 적용한 학생과 적용하지 않은 학생들을 대상으로 자기주도적 학습능력 및 학업적 자기효능감이 효과적으로 적용되었는지 알아보고 향 후 보건 계열 방사선과 전공과목에 스마트 학습법을 적용한 효과에 대해 논의 및 향 후 발전적인 방향에 대해 제언하고자 한다. 2016년 3월부터 6월까지 한 학기동안 스마트 학습법으로 강의를 받은 학생과 스마트 학습법을 적용하지 않은 학생 두 분류로 나누었고 자료수집방법은 자가 보고형 질문지 방식으로 진행하였다. 스마트 학습법으로 강의를 받은 교육군이 비교육군에 비해 자기주도 학습능력를 검정한 결과, 5점 만점에 교육군이 3.46점, 비교육군이 2.63점으로 통계적으로 유의한 차이가 있는 것으로 나타났고(t=9.721, p=.000), 성취목표지향성을 검정한 결과, 교육군이 3.12점, 비교육군이 2.92점으로 통계적으로 유의한 차이가 있는 것으로 나타났다(t=4.544, p=.000). 위의 결과로 스마트학습법이 자기주도학습, 학업적 자기효능감 및 학습 만족도에 대해 긍정적인 영향을 보여줬으며, 향후 보건 계열 학과에서도 교수자는 학습자와 쌍방향 커뮤니케이션을 통해 강의의 질적 향상을 위해 학습변화가 필요하다.