• Title/Summary/Keyword: Software training

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In Search of Multimedia Courseware Development Environment for Effective Teaching Through Multimedia Courseware

  • Karaulia, D.S.;Agrawal, Sanjay;Kapoor, Ravi Kant
    • Journal of Korea Multimedia Society
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    • v.6 no.4
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    • pp.658-667
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    • 2003
  • Developing tailor made Multimedia courseware ensuring effective implementation of instruction strategies is a challenge that manifests in myriad problems of software design and coding. In this paper an attempt has been made to analyse and identify coding and implementation problems, in the backdrop of using two different multimedia software development tools i.e. Visual Basic and Toolbook, which underpin the development and effectiveness of use of multimedia courseware. Solutions to such problems have been discussed in context of Tool book. The examples presented in this paper are based on the experience of designing and implementation of two large scale professional quality Multimedia courseware development projects.

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Fast Training of Structured SVM Using Fixed-Threshold Sequential Minimal Optimization

  • Lee, Chang-Ki;Jang, Myung-Gil
    • ETRI Journal
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    • v.31 no.2
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    • pp.121-128
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    • 2009
  • In this paper, we describe a fixed-threshold sequential minimal optimization (FSMO) for structured SVM problems. FSMO is conceptually simple, easy to implement, and faster than the standard support vector machine (SVM) training algorithms for structured SVM problems. Because FSMO uses the fact that the formulation of structured SVM has no bias (that is, the threshold b is fixed at zero), FSMO breaks down the quadratic programming (QP) problems of structured SVM into a series of smallest QP problems, each involving only one variable. By involving only one variable, FSMO is advantageous in that each QP sub-problem does not need subset selection. For the various test sets, FSMO is as accurate as an existing structured SVM implementation (SVM-Struct) but is much faster on large data sets. The training time of FSMO empirically scales between O(n) and O($n^{1.2}$), while SVM-Struct scales between O($n^{1.5}$) and O($n^{1.8}$).

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Evaluating the settlement of lightweight coarse aggregate in self-compacting lightweight concrete

  • Mazloom, Moosa;Mahboubi, Farzan
    • Computers and Concrete
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    • v.19 no.2
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    • pp.203-210
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    • 2017
  • The purpose of this paper is to evaluate the settlement of lightweight coarse aggregate of self-compacting lightweight concrete (SCLC) after placement of concrete on its final position. To investigate this issue, sixteen samples of concrete mixes were made. The water to cementitious materials ratios of the mixes were 0.35 and 0.4. In addition to the workability tests of self-compacting concrete (SCC) such as slump flow, V-funnel and L-box tests, a laboratory experiment was made to examine the segregation of lightweight coarse aggregate in concrete. Because of the difficulties of this test, the image processing technique of MATLAB software was used to check the segregation above too. Moreover, the fuzzy logic technique of MATLAB software was utilized to improve the clarity of the borders between the coarse aggregate and the paste of the mixtures. At the end, the results of segregation tests and software analyses are given and the accuracy of the software analyses is evaluated. It is worth noting that the minimum and maximum differences between the results of laboratory tests and software analyses were 1.2% and 9.19% respectively. It means, the results of image processing technique looks exact enough for estimating the segregation of lightweight coarse aggregate in SCLC.

Drivable Area Detection with Region-based CNN Models to Support Autonomous Driving

  • Jeon, Hyojin;Cho, Soosun
    • Journal of Multimedia Information System
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    • v.7 no.1
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    • pp.41-44
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    • 2020
  • In autonomous driving, object recognition based on machine learning is one of the core software technologies. In particular, the object recognition using deep learning becomes an essential element for autonomous driving software to operate. In this paper, we introduce a drivable area detection method based on Region-based CNN model to support autonomous driving. To effectively detect the drivable area, we used the BDD dataset for model training and demonstrated its effectiveness. As a result, our R-CNN model using BDD datasets showed interesting results in training and testing for detection of drivable areas.

Algorithm for Youth Soccer Players Management System: Software Engineering Approach

  • Park, Jun-Han;Huh, Jun-ho
    • Journal of Multimedia Information System
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    • v.4 no.4
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    • pp.307-310
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    • 2017
  • In the recent world of soccer, fostering of youth soccer players is considered as one of the most important issues so that many educational training programs are being prepared in the soccer-advanced countries. Amid the growing number of system management programs available for practical life due to the development of computer technology, an algorithm for youth soccer players management system has been proposed in this study for the improvement of Korean soccer skills.

Current Status and Problems of the ICT In-service Training for Teacher Based on the Operating Guide and Skill Standard of ICT (정보통신기술교육 운영지침과 활용능력기준에 기초한 교원정보화 연수 현황 및 문제점 분석)

  • Kim, Jong-Hye;Kim, Yong;Lee, Won-Gyu
    • Journal of KIISE:Software and Applications
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    • v.34 no.9
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    • pp.848-856
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    • 2007
  • The curriculum for teacher ICT in-service training has several problems in terms of running and managing training content. The majority part of the program consist of teaming software application manual. Additionally, the program is not organized and some contents overlap. Furthermore teachers are not obliged to participate in training. Especially, it needs to be revised because it is many difference between revised ICT curriculum and 'ICT skill standard for teacher(ISST)'. This study investigates the current curriculum for teacher ICT in-service training, analyzes problems in running and managing training content, and suggests need for revising the curriculum for teacher ICT in-service training.

Training of Equilibrium Sense Using Unstable Platform and Force Plate (Force Plate 와 불안정판을 이용한 평형감각 훈련)

  • 박용군;유미;권대규;홍철운;김남균
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2004.10a
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    • pp.985-988
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    • 2004
  • This paper proposes a new training system for equilibrium sense and postural control using unstable platform and force plate. This system consists of unstable platform, force plate, computer interface, software and the computer. Using this system and training programs, we perform the experiment to train the equilibrium sense and postural control of subject. To evaluate the effects of balance training, we measured some parameters such as the maintaining time in the target, the moving time to the target and the mean absolute deviation of the trace before and after training. The result shows that this system can improve the equilibrium sense and balance ability of subject. This study shows that proposed system had an effect on improving equilibrium sense and postural control and might be applied to clinical rehabilitation training as a new effective balance training system.

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Implementation of JDAM virtual training function using machine learning

  • You, Eun-Kyung;Bae, Chan-Gyu;Kim, Hyeock-Jin
    • Journal of the Korea Society of Computer and Information
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    • v.25 no.11
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    • pp.9-16
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    • 2020
  • The TA-50 aircraft is conducting simulated training on various situations, including air-to-air and air-to-ground fire training, in preparation for air warfare. It is also used for pilot training before actual deployment. However, the TA-50 does not have the ability to operate smart weapon forces, limiting training. Therefore, the purpose of this study is to implement the TA-50 aircraft to enable virtual training of one of the smart weapons, the Point Direct Attack Munition (JDAM). First, JDAM functions implemented in FA-50 aircraft, a model similar to TA-50 aircraft, were analyzed. In addition, since functions implemented in FA-50 aircraft cannot be directly utilized by source code, algorithms were extracted using machine learning techniques(TensorFlow). The implementation of this function is expected to enable realistic training without actually having to be armed. Finally, based on the results of this study, we would like to propose ways to supplement the limitations of the research so that it can be implemented in the same way as it is.

Study on the Improvement of Special Staff Training for Multiple Majors of Secondary Informatics Teachers (중등 정보교사 복수전공 특별양성과정의 개선방안)

  • Shin, Soo-Bum
    • Journal of Creative Information Culture
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    • v.5 no.3
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    • pp.285-293
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    • 2019
  • As the 2015 Revised Secondary Information Curriculum was reorganized into a software-focused curriculum, a number of information teachers were needed. For this purpose, a special training course for multiple majors for secondary information teachers was established, and produced about 100 teachers with multiple majors. To improve this training program, this study surveyed the trainees joined in this program. As the result of the survey, there were findings that the short training period made it difficult to understand the overall content of the curriculum, and that they had a loss of learning due to the burden on another major. Therefore, long-term training is necessary to train informatics teachers, and by realizing the reinforcement of specialty through pre-training and main training, and by organizing a gradual curriculum, substantiality should be sought.

A Recognition Analysis of Elementary Teachers for Software Education of 2015 Revised Korea Curriculum (2015 개정 교육과정의 소프트웨어 교육에 대한 초등 교사들의 인식 분석)

  • Kim, Kapsu
    • Journal of The Korean Association of Information Education
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    • v.20 no.1
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    • pp.47-56
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    • 2016
  • In order to nurture creative talent in the 21st century knowledge-based society in elementary education software is carried from the year 2018. The educational content and achievement standards to conduct a software education had been made in the 2015. In this study, the recognition of educational software for elementary school teachers 199 people is investigated. Findings are as follows. Elementary education is the first software required, and is lacking in 17 hours. Second, the idea of a common training software education, teaching and learning methods, evaluation methods, how to develop information materials. Third, lower cognitive development and educational materials for the teaching methods appropriate for understanding, achievement standards for achievement standards. Therefore, should allow teacher training teaching materials development, assessment methods, teaching methods suitable for the achievement standards available to all teachers throughout the school know.