• Title/Summary/Keyword: Off-line learning

Search Result 176, Processing Time 0.022 seconds

A Study on Application of Information Literacy Education of Public Library Connected Lifelong Education (평생교육과 연계한 공공도서관의 정보활용 교육 적용 방안에 관한 연구)

  • Cho, Mi-Ah
    • Journal of Korean Library and Information Science Society
    • /
    • v.38 no.4
    • /
    • pp.187-213
    • /
    • 2007
  • The purpose of this study is to investigate application of information literacy education. Lifelong education program that accomplishes local information center lifelong education center assigned among public libraries is surveyed and analyzed by e-learning and off-line program. This study is surveyed and analyzed on information literacy lifelong education and examples and data of public library.

  • PDF

A Design of Multi-tier e-Learning System (다계층 e-러닝 시스템의 설계)

  • 고일석;나윤지
    • Proceedings of the Korea Information Assurance Society Conference
    • /
    • 2004.05a
    • /
    • pp.97-101
    • /
    • 2004
  • In this study, we designed A multi-tier e-learning system using hybrid multimedia method, The proposal system can provide an interaction and adaptability of a web-based system and high quality multimedia services of an off-line-based system. The proposal system improved quality of a multimedia, a user's convenience, adaptability and an interaction on e-learning system.

  • PDF

ART1 Neural Network for the Detection of Tool Breakage (공구파단 검출을 위한 ART2 신경회로망)

  • 고태조;김희술;조동우
    • Proceedings of the Korean Society of Precision Engineering Conference
    • /
    • 1995.04b
    • /
    • pp.451-456
    • /
    • 1995
  • This study investigates the feasibility of the real time detection of tool breadage in face milling operation. The proposed methodology using an ART2 neural network overcomes a cumbersome task in terms of the learning or determining a threshold value. The features taken in the researchare the AR parameters modelled from a RLS, and those are proven to be good features for tool breakage from experiments. From the results of the off line application, we can conclude that an ART2 neural network can be well applied to the clustering of tool states in real time regardless of the unsupervised learning.

  • PDF

Developing and Pilot-Testing Blended Learning Program Prototypes for Health Coaching to Support Positive Growth of Cancer Patients (암환자의 긍정성 증진을 위한 블렌디드 건강코칭 교육프로그램 프로토타입 개발 및 적용)

  • Lim, Cheolil;Park, Taejung;Kim, Sungwook;Yun, Youngho
    • Journal of Information Technology Services
    • /
    • v.18 no.5
    • /
    • pp.71-83
    • /
    • 2019
  • This study aimed to develop and pilot-test educational program prototypes of training health coaches to help cancer patients overcome crises and create positive growth. For this purpose, the educational contents and methods of the blended learning program prototypes were derived through learner needs and literature analysis. The prototypes, which consist of introducing of health management and health information and understanding and practice of basic coaching and health coaching, were developed to integrate with four sessions of face-to-face, off-line classes, training practices through 12 tele-classes, and use of online learning system. The prototypes were conducted and pilot-tested by a total of 35 students selected through the document screening and the interview. After participating in the blended learning program, learners expressed greater overall satisfaction with each session program (average score = 4.36, with 5 being most satisfied), satisfaction with learning contents (average score=4.42) satisfaction with course preparation (average score = 4.26) and satisfaction with lecture materials (average score = 4.19). The results of this study show that a systematic and integrative approach for designing a blended learning program can be useful for various educational needs in health and medical fields. In the future, empirical studies are expected to see how these curricula are actually implemented and assess whether the intended learning outcomes are achieved.

Proposal of autonomous take-off drone algorithm using deep learning (딥러닝을 이용한 자율 이륙 드론 알고리즘 제안)

  • Lee, Jong-Gu;Jang, Min-Seok;Lee, Yon-Sik
    • Journal of the Korea Institute of Information and Communication Engineering
    • /
    • v.25 no.2
    • /
    • pp.187-192
    • /
    • 2021
  • This study proposes a system for take-off in a forest or similar complex environment using an object detector. In the simulator, a raspberry pi is mounted on a quadcopter with a length of 550mm between motors on a diagonal line, and the experiment is conducted based on edge computing. As for the images to be used for learning, about 150 images of 640⁎480 size were obtained by selecting three points inside Kunsan University, and then converting them to black and white, and pre-processing the binarization by placing a boundary value of 127. After that, we trained the SSD_Inception model. In the simulation, as a result of the experiment of taking off the drone through the model trained with the verification image as an input, a trajectory similar to the takeoff was drawn using the label.

A Study on Appropriate Inventory of Off-line Store using Time Series and Reinforce Learning (시계열분석과 강화학습을 활용한 오프라인 매장 적정재고 연구)

  • Jin-Kyu Kim
    • Proceedings of the Korea Information Processing Society Conference
    • /
    • 2023.11a
    • /
    • pp.436-438
    • /
    • 2023
  • 최근 공급망 이슈로 재고관리의 중요성이 커지는 상황이다. 본 연구에서는 시계열분석과 강화학습을 이용해 오프라인매장의 적정재고를 관리하는 방안을 연구하였다. 연구결과 방안을 활용해 효율적인 재고관리가 가능함을 확인하였다. 향후 온라인 매장으로의 연구확대를 기대한다.

Analysis of e-Learning based Information Security Education Curriculum (e-러닝 기반의 정보보호 교육과정 분석 연구)

  • Lee, Hyung-Woo
    • The Journal of Korean Association of Computer Education
    • /
    • v.8 no.6
    • /
    • pp.13-21
    • /
    • 2005
  • In this study, we study and analysis on e-Learning based Information Security curriculum. e-Learning based university education courses will be much more established in Korea based on advanced IT technology. Computer related majors such as 'Computer Science' and 'Software' can be easily combined with e-Learning system. And Advanced Information Security Expert (AISE) educational course must be broadly opened for satisfying national requirements. In this study, we analyze e-Learning course on Information Security major based on off-line curriculum and suggest new model for further research.

  • PDF

Environmental Education e-Learning Contents Development for the Middle School Students (중학생을 위한 환경교육 e-Learning 콘텐츠 개발)

  • Seo, Woo-Seok;Lee, Yong-Hwan;Jyung, Chyul-Young;Lee, Jae-Ho;Na, Seung-Il;Kim, Jin-Mo;Kim, Jae-Mo;Lee, Youn-Jo
    • Hwankyungkyoyuk
    • /
    • v.19 no.3
    • /
    • pp.20-39
    • /
    • 2006
  • The purpose of the study is to develop e-Learning contents of environmental education for middle school students. The contents were developed based on literature review, the analysis of domestic and foreign programs and e-Learning contents on environmental education and expert advice. There are five main characteristics. First, this program has 12 sessions and is divided into six parts: introduction, air, water, animals and plants, soil, and resources and energy. Second, the contents were developed with consideration of middle school students' consist of optimized for learners by analyzing the needs of middle school students. Third, each part consists of five steps: "open", "unfold", "foster", "strengthen & refine", and "addition." Fourth, the contents have been developed in line with SCORM, an international standard for distnt education, to ensure reusability, accessibility, interoperability, and durability. Fifth, the contents are developed for blending online and off-line education. Developed program evaluated by 8 environmental education experts according to 10 evaluation item of total contents and contents development structure. In result, it evaluated comparatively high score.

  • PDF

On-Line Topic Segmentation Using Convolutional Neural Networks (합성곱 신경망을 이용한 On-Line 주제 분리)

  • Lee, Gyoung Ho;Lee, Kong Joo
    • KIPS Transactions on Software and Data Engineering
    • /
    • v.5 no.11
    • /
    • pp.585-592
    • /
    • 2016
  • A topic segmentation module is to divide statements or conversations into certain topic units. Until now, topic segmentation has progressed in the direction of finding an optimized set of segments for a whole document, considering it all together. However, some applications need topic segmentation for a part of document which is not finished yet. In this paper, we propose a model to perform topic segmentation during the progress of the statement with a supervised learning model that uses a convolution neural network. In order to show the effectiveness of our model, we perform experiments of topic segmentation both on-line status and off-line status using C99 algorithm. We can see that our model achieves 17.8 and 11.95 of Pk score, respectively.

An application of NN on off-line PD diagnosis to stator coil of Traction Motor (견인전동기용 고정자 코일의 off-line 부분방전 진단을 위한 NN의 적용)

  • Jeon, Yong-Sik;Park, Seong-Hee;Jang, Dong-Uk;Park, Hyun-June;Kang, Seong-Hwa;Lim, Kee-Joe
    • Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
    • /
    • 2004.11a
    • /
    • pp.653-657
    • /
    • 2004
  • In this study, PD(partial discharge) signals which occurrs at stator coil of traction Motor are acquired. these data are used for classifying the PD sources. W(Neural Network) has recently applied to classify the PB pattern. The PD data are used for the learning process to classify PD sources. The PD data come from normal specimen and defective specimens such as internal void discharges, slot discharges and surface discharges. PD distribution parameters are calculated from a set of the data, which is used to realize diagnostic algorithm. NN which applies distribution parameters is useful to classify the PD patterns of defective sources generating in stator coil of traction motor.

  • PDF