• Title/Summary/Keyword: face feedback

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Analytical Development of a Robust Controller for Smart Structural Systems

  • Park Chul Hue;Hong Seong Il;Park Hyun Chul
    • Journal of Mechanical Science and Technology
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    • v.19 no.5
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    • pp.1138-1147
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    • 2005
  • This paper aims at demonstrating the feasibility of active control of beams with a multiobjective state-feedback control technique. The multiobjective state-feedback controller is de­signed on a linear matrix inequality (LMI) approach for the multiobjective synthesis. The design objectives are to achieve a mix of Hoo performance and H2 performance satisfying constraints on the closed-loop pole locations in the face of model uncertainties. The controller is also designed to reject the effects of the noise and external of disturbances. For the theoretical analysis, the governing equation of motion is derived by Hamilton's principle to describe the dynamics of a smart structural system. Numerical examples are presented to demonstrate the effectiveness of the integrated robust controller in damping out the multiple vibration modes of the piezo/beam system.

A Study on the Structural Equation Model for Factors Affecting Academic Achievement in Non-Face-to-Face Class (비대면수업에서 학습성취도에 미치는 요인에 대한 구조방정식 모형 연구)

  • Suh, Hyesun
    • The Journal of the Convergence on Culture Technology
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    • v.6 no.4
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    • pp.157-164
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    • 2020
  • In 2020, due to COVID-19, all universities in Korea were conducting non-face-to-face classes. The purpose of this study is to study what factors affect academic achievement under such non-face-to-face instruction, especially for engineering students where practical training is important. Validity of the statistical hypothesis defined in this study by applying a structural equation model using questionnaires about academic achievement for engineering students at University D for this study. In addition, I would like to suggest what factors should be considered in non-face-to-face classes, especially in engineering colleges. As a result of the study, it was found that students' Q&A, feedback and e-learning system had a direct influence on academic achievement. In addition, it was confirmed that they had an indirect influence on academic achievement through the parameters of theory class and practical class.

A Study on the Influence Factors of safety Management Activities of Safety Assistants on Dispatch Method (안전보조원의 안전관리활동이 파견법에 미치는 영향요인 연구)

  • Shin, Seung Ha;Moon, Yu Mi;Choi, Byong Jeong
    • Journal of the Society of Disaster Information
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    • v.17 no.2
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    • pp.306-318
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    • 2021
  • The dispatch law has a negative impact on safety management at construction sites as the command and command relationship to safety assistants of the original contractor are applied to the dispatch law. Purpose: The purpose is to study the importance and impact of safety management according to the dispatch law, and to propose a direction for safety management so that safety assistants can actively and proactively prevent accidents. In this study, we used AHP analysis techniques for experts to achieve the final goal and verified the suitability through logistic regression. Method: AHP analysis technique is used for experts and workers and logistic regression analysis is conducted. Result: The result of analyzing scenario data where the dispatch method can be applied showed the importance in the order of education (SkillUp education), management (work-time management) and direct instructions (feedback instruction). In logistic regression analysis, feedback is the factor that affects direct instruction, and in education management, the ratio of education management is 3.42 times lower than that of other groups when only the team leader of the company gives work instructions. Conclusion: The management of feedback and education is more important than anything else within the range in which the dispatch method is not applied, and the expansion of non-face-to-face online education is judged to avoid the violation of dispatch method because the expansion of non-face-to-face online education due to covid 19 recently has brought more various target for safety education.

Admittance Model-Based Nanodynamic Control of Diamond Turnning Machine (어드미턴스 모델을 이용한 다이아몬드 터닝머시인의 극초정밀 제어)

  • 정상화;김상석
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 1996.04a
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    • pp.49-52
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    • 1996
  • The control of diamond turning is usually achieved through a laser-interferometer feedback of slide position. The limitation of this control scheme is that the feedback signal does not account for additional dynamics of the tool post and the material removal process. If the tool post is rigid and the material removal process is relatively static, then such a non-collocated position feedback control scheme may surfice. However, as the accuracy requirement gets tighter and desired surface contours become more complex, the need for a direct tool-tip sensing becomes inevitable. The physical constraints of the machining processprohibit any reasonable implementation of a tool-tip motion measurement. It is proposed that the measured force normalto the face of the workpice can be filterd through an appropriate admittance transfer function to result in the estimated depth of cut. This can be compared to the desired depth of cut to generate the adjustment cotnrol action in addition to position feedback control. In this work, the design methodology on the admittance model-based control with a conventional controller is presented. Based on the empirical data of the cutting dynamics, simulation results are shown.

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The Use of Feed-forward and Feedback Learning in Firm-University Knowledge Development: The Case of Japan

  • Oh, In-Gyu
    • Asian Journal of Innovation and Policy
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    • v.1 no.1
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    • pp.92-115
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    • 2012
  • The problem Japanese universities face is exactly the same as that of German universities: no international recognition in world rankings of universities despite their high levels of postwar economic and technological developments. This was indeed one reason why world-class Japanese firms, such as Toyota and Sony, have avoided working closely with Japanese universities for R&D partnership and new technology commercialization. To resolve this problem, the Japanese government has continuously implemented aggressive policies of the internationalization, privatization, liberalization, and privatization of universities since the onset of the economic recession in 1989 in order to revitalize the Japanese economy through radical innovation projects between universities and firms. National projects of developing medical robots for Japan's ageing society are some of the ambitious examples that emphasize feed-forward learning in innovation. However, this paper argues that none of these programs of fostering university-firm alliances toward feed-forward learning has been successful in promoting the world ranking of Japanese universities, although they showed potentials of reinforcing their conventional strength of introducing $kaizen$ through feedback learning of tacit knowledge. It is therefore argued in this paper that Japanese universities and firms should focus on feedback learning as a way to motivate firm-university R&D alliances.

Pattern recognition and AI education system design for improving achievement of non-face-to-face (e-learning) education (비대면(이러닝) 교육 성취도 향상을 위한 패턴인식 및 AI교육 시스템 설계)

  • Lee, Hae-in;Kim, Eui-Jeong;Chung, Jong-In;Kim, Chang Suk;Kang, Shin-Cheon
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2022.05a
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    • pp.329-332
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    • 2022
  • This study aims to identify problems with existing e-learning content and non-face-to-face class methods, improve students' concentration, improve class achievement and educational effectiveness, and propose an artificial intelligence class system design using a web server. By using the function of face and eye tracking using OpenCV to identify attendance and concentration, and by inducing feedback through voice or message to questions asked by the instructor in the middle of class, learners relieve boredom caused by online classes and test by runner If the score is not reached, we propose an artificial intelligence education program system design that can bridge the academic gap and improve academic achievement by providing educational materials and videos for the wrong problem.

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Pattern Recognition and AI Education System Design Proposal for Improving the Achievement of Non-face-to-face (E-Learning) Education (비대면(이러닝) 교육 성취도 향상을 위한 패턴인식 및 AI교육 시스템 설계 구축)

  • Lee, Hae-in;Kim, Eui-Jeong;Chung, Jong-In;Kim, Chang Suk;Kang, Shin-Cheon
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2022.10a
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    • pp.280-283
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    • 2022
  • This study aims to identify problems with existing e-learning content and non-face-to-face class methods, improve students' concentration, improve class achievement and educational effectiveness, and propose an artificial intelligence class system design using a web server. By using the function of face and eye tracking using OpenCV to identify attendance and concentration, and by inducing feedback through voice or message to questions asked by the instructor in the middle of class, learners relieve boredom caused by online classes and test by runner If the score is not reached, we propose an artificial intelligence education program system design that can bridge the academic gap and improve academic achievement by providing educational materials and videos for the wrong problem.

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An Analysis of University Students' Needs for Learning Support Functions of Learning Management System Augmented with Artificial Intelligence Technology

  • Jeonghyun, Yun;Taejung, Park
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.17 no.1
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    • pp.1-15
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    • 2023
  • The aim of this study is to identify intelligent learning support functions in Learning Management System (LMS) to support university student learning activities during the transition from face-to-face classes to online learning. To accomplish this, we investigated the perceptions of students on the levels of importance and urgency toward learning support functions of LMS powered with Artificial Intelligent (AI) technology and analyzed the differences in perception according to student characteristics. As a result of this study, the function that students considered to be the most important and felt an urgent need to adopt was to give automated grading and feedback for their writing assignments. The functions with the next highest score in importance and urgency were related to receiving customized feedback and help on task performance processed as well as results in the learning progress. In addition, students view a function to receive customized feedback according to their own learning plan and progress and to receive suggestions for improvement by diagnosing their strengths and weaknesses to be both vitally important and urgently needed. On the other hand, the learning support function of LMS, which was ranked as low importance and urgency, was a function that analyzed the interaction between professors and students and between fellow students. It is expected that the results of this student needs analysis will be helpful in deriving the contents of learning support functions that should be developed as well as providing basic information for prioritizing when applying AI technology to implement learner-centered LMS in the future.

Exploiting Directions in On-line Non-face-to-face English Class Using Zoom (줌(Zoom)을 활용한 온라인 비대면 영어 수업의 방향 탐색)

  • Kim, Hye-Jeong
    • The Journal of the Convergence on Culture Technology
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    • v.7 no.1
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    • pp.284-290
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    • 2021
  • This study aimed to identify the efficiency of online non-face-to-face English classes to propose possibilities for expanding these types of classes in a sustainable way even in the post-COVID era. Moreover, the study suggests pedagogical implications for the directions that should be further explored for online non-face-to-face English classes. To this end, the study employed an online non-face-to-face English reading class using Zoom and investigated the effects of online teaching on college students' reading comprehension via two achievement tests. The study also analyzed learners' satisfaction or dissatisfaction with this online non-face-to-face English reading class (and their reasons) through a questionnaire. Ultimately, the study found that online non-face-to-face English reading classes have a positive effect on learners' reading comprehension learning. In addition, the reasons for learners' satisfaction with online non-face-to-face classes include systematic class progress, class quality, and efficiency of learning. Instructors must be aware of the need to expand online non-face-to-face classes, for which they will have to be thoroughly prepared in advance. Instructors will also need to implement efficient online class activities, organize classes systematically with detailed explanations, and provide quick and useful feedback.

Simulation and Examination for DFB Lasers with Grating Phase of π/2 on One Mirror Face (한쪽 거울면의 격자 위상이 π/2인 DFB 레이저의 시뮬레이션과 검정)

  • Kwon, Kee-Young
    • Journal of Software Assessment and Valuation
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    • v.15 no.2
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    • pp.101-109
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    • 2019
  • Lasers for optical broadband communication systems should have excellent frequency selectivity and modal stability. DFB(Distributed Feedback) lasers have low lasing frequency shift during high speed current modulation. In this paper, I have developed a simulation software and analysed threshold gain and lasing frequency of a lasing mode in longitudinal direction of an 1.55um DFB laser with two mirrors and without anti-reflection coatings, that have both an index- and gain-gratings. The grating phase on a left mirror face is fixed as π/2 and the grating phase on a right mirror face is varied. As the phases of the index and gain gratings on the right mirror facet are π and 0, κL should be in the range of 2~6 in order to enhance the frequency stability. In order to reduce the threshold current of a lasing mode, κL should be greater than 8, regardless of the grating phases on the mirror faces.