• Title/Summary/Keyword: Co-learning

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Exploration of new innovation strategies for the post catching-up : Co-ordination between learning process and R&D (탈추격(post catching-up) 단계의 새로운 기술혁신정책의 모색: 학습과정(learning process)과 R&D의 조응(co-ordination))

  • Hwang, Gyu-Hui
    • Proceedings of the Korea Technology Innovation Society Conference
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    • 2012.05a
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    • pp.207-225
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    • 2012
  • 한국이 탈추격에 진입하였으며 이에 대응한 새로운 기술혁신전략이 필요하다고 제기되고 있는데, 본 연구에서는 이를 산업연관표에 기반한 산업별 생산방식 변화 등의 분석을 통하여 확인하며, 산업별 인력 구성의 변화를 중심으로 새로운 기술혁신전략을 모색하였다. 인력양성과 활용의 측면을 중심으로 한 학습과정(leaning process)이 R&D 등 혁신노력과 성공적으로 조응될 때 기대한 혁신성과가 실현될 수 있음을, 28산업분류 수준에서 대학 전공의 일에서의 유용성과 R&D투입간 조응성을 통하여 분석하고, 이러한 사항이 국가수준의 혁신정책에 통합되어야 함을 제시하였다.

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X-Ray Security Checkpoint System Using Storage Media Detection Method Based on Deep Learning for Information Security

  • Lee, Han-Sung;Kim Kang-San;Kim, Won-Chan;Woo, Tea-Kun;Jung, Se-Hoon
    • Journal of Korea Multimedia Society
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    • v.25 no.10
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    • pp.1433-1447
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    • 2022
  • Recently, as the demand for physical security technology to prevent leakage of technical and business information of companies and public institutions increases, the high tech companies are operating X-ray security checkpoints at building entrances to protect their intellectual property and technology. X-ray security checkpoints are operated to detect cameras and storage media that may store or leak important technologies in the bags of people entering and leaving the building. In this study, we propose an X-ray security checkpoint system that automatically detects a storage medium in an X-ray image using a deep learning based object detection method. The proposed system consists of an edge computing unit and a cloud-computing unit. We employ the RetinaNet for automatic storage media detection in the X-ray security checkpoint images. The proposed approach achieved mAP of 95.92% on private dataset.

Robust feedback error learning neural networks control of robot systems with guaranteed stability

  • Kim, Sung-Woo
    • 제어로봇시스템학회:학술대회논문집
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    • 1996.10a
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    • pp.197-200
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    • 1996
  • This paper considers feedback error learning neural networks for robot manipulator control. Feedback error learning proposed by Kawato [2,3,5] is a useful learning control scheme, if nonlinear subsystems (or basis functions) consisting of the robot dynamic equation are known exactly. However, in practice, unmodeled uncertainties and disturbances deteriorate the control performance. Hence, we presents a robust feedback error learning scheme which add robustifying control signal to overcome such effects. After the learning rule is derived, the stability is analyzed using Lyapunov method.

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Control for Manipulator of an Underwater Robot Using Meta Reinforcement Learning (메타강화학습을 이용한 수중로봇 매니퓰레이터 제어)

  • Moon, Ji-Youn;Moon, Jang-Hyuk;Bae, Sung-Hoon
    • The Journal of the Korea institute of electronic communication sciences
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    • v.16 no.1
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    • pp.95-100
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    • 2021
  • This paper introduces model-based meta reinforcement learning as a control for the manipulator of an underwater construction robot. Model-based meta reinforcement learning updates the model fast using recent experience in a real application and transfers the model to model predictive control which computes control inputs of the manipulator to reach the target position. The simulation environment for model-based meta reinforcement learning is established using MuJoCo and Gazebo. The real environment of manipulator control for underwater construction robot is set to deal with model uncertainties.

The Effect of Community of Learning(CoL) on the e-Learning Performance (학습 공동체의 특성이 기업 e-Learning 성과에 미치는 영향)

  • Suh, Hyunju;Chung, Yesun;Kym, Hyo gun
    • Knowledge Management Research
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    • v.5 no.1
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    • pp.19-38
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    • 2004
  • The present paper examines the effect of "community of learning" factors as well as learning and contextual factors on the e-learning performance empirically. The concept of community of learning, which was derived from community of practice, has not been emphasized in previous studies on e-learning. Data were collected from 226 people who had experienced e-learning and multiple regression analysis was used to analyze the data. The results are as follows; First, learning motivation and appropriateness of learning contents, ease of system use, and knowledge sharing have a positive effect on learner's satisfaction. Whereas, learning motivation, appropriateness of learning contents, ease of system use, knowledge sharing, and activated communication are appeared to affect the ability of performing tasks significantly.

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A Case Study for Implementing Next-Generation Knowledge Management at POSCO through Creative Community of Practice (창의적 학습동아리 활동을 통한 차세대 지식경영 구현사례 : 포스코)

  • Choi, Jong-Jin;Chung, Namho;Jo, Yong-mal
    • Knowledge Management Research
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    • v.9 no.1
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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.

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The "Third Wave": Values associated with Effective Learning of Mathematics in Australian Primary Classrooms

  • Seah, Wee Tiong
    • Proceedings of the Korea Society of Mathematical Education Conference
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    • 2010.04a
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    • pp.291-306
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    • 2010
  • The study reported here is the Australian component of an international research project which seeks to identify student-reported convictions co-valued by them and their teachers during moments of effective mathematics learning. The 2 teachers and their 12 students in the 2 primary school classes associated effective moments of learning with 13 different values. No gender difference was apparent. Although the teachers planned their lessons together and were teaching similar topics, there were differences in what were co-valued. Of the 13 values, examples, sharing, resources, and multimodal representations were found to be commonly valued by students across the 'ability' groups, while the others related to particular 'ability' groups only.

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The "Third Wave": Values associated with Effective Learning of Mathematics in Australian Primary Classrooms

  • Seah, Wee Tiong
    • Research in Mathematical Education
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    • v.14 no.2
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    • pp.99-114
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    • 2010
  • The study reported here is the Australian component of an international research project which seeks to identify student-reported convictions co-valued by them and their teachers during moments of effective mathematics learning. The 2 teachers and their 12 students in the 2 primary school classes associated effective moments of learning with 13 different values. No gender difference was apparent. Although the teachers planned their lessons together and were teaching similar topics, there were differences in what were co-valued. Of the 13 values, examples, sharing, resources, and multi modal representations were found to be commonly valued by students across the 'ability' groups, while the others related to particular 'ability' groups only.

Implementation of an Autostereoscopic Virtual 3D Button in Non-contact Manner Using Simple Deep Learning Network

  • You, Sang-Hee;Hwang, Min;Kim, Ki-Hoon;Cho, Chang-Suk
    • Journal of Information Processing Systems
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    • v.17 no.3
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    • pp.505-517
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    • 2021
  • This research presented an implementation of autostereoscopic virtual three-dimensional (3D) button device as non-contact style. The proposed device has several characteristics about visible feature, non-contact use and artificial intelligence (AI) engine. The device was designed to be contactless to prevent virus contamination and consists of 3D buttons in a virtual stereoscopic view. To specify the button pressed virtually by fingertip pointing, a simple deep learning network having two stages without convolution filters was designed. As confirmed in the experiment, if the input data composition is clearly designed, the deep learning network does not need to be configured so complexly. As the results of testing and evaluation by the certification institute, the proposed button device shows high reliability and stability.

Post COVID-19 Reaction: APEC SEN Distance Learning Platform for Seafarers

  • 정희수;표예림;설진기;최승희
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2022.06a
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    • pp.363-364
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    • 2022
  • The COVID-19 pandemic had substantial negative impacts and caused several disruptions to the global supply chain of the shipping industry. The key challenges identified in terms of maritime manpower are the Certificates of Competency (CoC) or the expiration and/or failure to complete refresher and/or revalidation courses, which directly hinder employment retention and lost opportunities at sea. To tackle this issue directly and swiftly, the creation of the APEC SEN Distance Learning Platform was suggested and approved by APEC as part of an official project. This paper introduces the APEC-wide accessible distance learning platform with the following key topics: the organisation and operation of the platform, the themes and content to be prioritised, the process of education, training, certification, and the ways to promote accreditation, mutual recognition on CoC, education and training videos by taking collaborative actions, and the development of content.

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