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Why A Multimedia Approach to English Education\ulcorner

  • Keem, Sung-uk
    • Proceedings of the KSPS conference
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    • 1997.07a
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    • pp.176-178
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    • 1997
  • To make a long story short I made up my mind to experiment with a multimedia approach to my classroom presentations two years ago because my ways of giving instructions bored the pants off me as well as my students. My favorite ways used to be sometimes referred to as classical or traditional ones, heavily dependent on the three elements: teacher's mouth, books, and chalk. Some call it the 'MBC method'. To top it off, I tried audio-visuals such as tape recorders, cassette players, VTR, pictures, and you name it, that could help improve my teaching method. And yet I have been unhappy about the results by a trial and error approach. I was determined to look for a better way that would ensure my satisfaction in the first place. What really turned me on was a multimedia CD ROM title, ELLIS (English Language Learning Instructional Systems) developed by Dr. Frank Otto. This is an integrated system of learning English based on advanced computer technology. Inspired by the utility and potential of such a multimedia system for regular classroom or lab instructions, I designed a simple but practical multimedia language learning laboratory in 1994 for the first time in Korea(perhaps for the first time in the world). It was high time that the conventional type of language laboratory(audio-passive) at Hahnnam be replaced because of wear and tear. Prior to this development, in 1991, I put a first CALL(Computer Assisted Language Learning) laboratory equipped with 35 personal computers(286), where students were encouraged to practise English typing, word processing and study English grammar, English vocabulary, and English composition. The first multimedia language learning laboratory was composed of 1) a multimedia personal computer(486DX2 then, now 586), 2) VGA multipliers that enable simultaneous viewing of the screen at control of the instructor, 3) an amplifIer, 4) loud speakers, 5)student monitors, 6) student tables to seat three students(a monitor for two students is more realistic, though), 7) student chairs, 8) an instructor table, and 9) cables. It was augmented later with an Internet hookup. The beauty of this type of multimedia language learning laboratory is the economy of furnishing and maintaining it. There is no need of darkening the facilities, which is a must when an LCD/beam projector is preferred in the laboratory. It is headset free, which proved to make students exasperated when worn more than- twenty minutes. In the previous semester I taught three different subjects: Freshman English Lab, English Phonetics, and Listening Comprehension Intermediate. I used CD ROM titles like ELLIS, Master Pronunciation, English Tripple Play Plus, English Arcade, Living Books, Q-Steps, English Discoveries, Compton's Encyclopedia. On the other hand, I managed to put all teaching materials into PowerPoint, where letters, photo, graphic, animation, audio, and video files are orderly stored in terms of slides. It takes time for me to prepare my teaching materials via PowerPoint, but it is a wonderful tool for the sake of presentations. And it is worth trying as long as I can entertain my students in such a way. Once everything is put into the computer, I feel relaxed and a bit excited watching my students enjoy my presentations. It appears to be great fun for students because they have never experienced this type of instruction. This is how I freed myself from having to manipulate a cassette tape player, VTR, and write on the board. The student monitors in front of them seem to help them concentrate on what they see, combined with what they hear. All I have to do is to simply click a mouse to give presentations and explanations, when necessary. I use a remote mouse, which prevents me from sitting at the instructor table. Instead, I can walk around in the room and enjoy freer interactions with students. Using this instrument, I can also have my students participate in the presentation. In particular, I invite my students to manipulate the computer using the remote mouse from the student's seat not from the instructor's seat. Every student appears to be fascinated with my multimedia approach to English teaching because of its unique nature as a new teaching tool as we face the 21st century. They all agree that the multimedia way is an interesting and fascinating way of learning to satisfy their needs. Above all, it helps lighten their drudgery in the classroom. They feel other subjects taught by other teachers should be treated in the same fashion. A multimedia approach to education is impossible without the advent of hi-tech computers, of which multi functions are integrated into a unified system, i.e., a personal computer. If you have computer-phobia, make quick friends with it; the sooner, the better. It can be a wonderful assistant to you. It is the Internet that I pay close attention to in conjunction with the multimedia approach to English education. Via e-mail system, I encourage my students to write to me in English. I encourage them to enjoy chatting with people all over the world. I also encourage them to visit the sites where they offer study courses in English conversation, vocabulary, idiomatic expressions, reading, and writing. I help them search any subject they want to via World Wide Web. Some day in the near future it will be the hub of learning for everybody. It will eventually free students from books, teachers, libraries, classrooms, and boredom. I will keep exploring better ways to give satisfying instructions to my students who deserve my entertainment.

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Development of Artificial Neural Networks for Stability Assessment of Tunnel Excavation in Discontinuous Rock Masses and Rock Mass Classification (불연속 암반내 터널굴착의 안정성 평가 및 암반분류를 위한 인공 신경회로망 개발)

  • 문현구;이철욱
    • Tunnel and Underground Space
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    • v.3 no.1
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    • pp.63-79
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    • 1993
  • The design of tunnels in rock masses often demands more informations on geologic features and rock mass properties than acquired by usual field survey and laboratory testings. In practice, the situation that a perfect set of geological and mechanical input data is given to geomechanics design engineer is rare, while the engineers are asked to achieve a high level of reliability in their design products. This study presents an artificial neural network which is developed to resolve the difficulties encountered in conventional design techniques, particulary the problem of deteriorating the confidence of existing numerical techniques such as the finite element, boundary element and distinct element methods due to the incomplete adn vague input data. The neural network has inferring capabilities to identify the possible failure modes, support requirements and its timing for underground openings, from previous case histories. Use of the neural network has resulted in a better estimate of the correlation between systems of rock mass classifications such as the RMR and Q systems. A back propagation learning algorithm together with a multi-layer network structure is adopted to enhance the inferential accuracy and efficiency of the neural network. A series of experiments comparing the results of the neural network with the actual field observations are performed to demonstrate the abilities of the artificial neural network as a new tunnel design assistance system.

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A Novel Efficiency Optimization Control of SynRM Considering Iron Loss with Neural Network (신경회로망에 의한 철손을 고려한 SynRM의 새로운 효율 최적화 제어)

  • Kang, Sung-Joon;Ko, Jae-Sub;Choi, Jung-Sik;Baek, Jung-Woo;Jang, Mi-Geum;Chung, Dong-Hwa
    • Proceedings of the KIEE Conference
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    • 2009.07a
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    • pp.776_777
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    • 2009
  • Optimal efficiency control of synchronous reluctance motor(SynRM) is very important in the sense of energy saving and conservation of natural environment because the efficiency of the SynRM is generally lower than that of other types of AC motors. This paper is proposed a novel efficiency optimization control of SynRM considering iron loss using neural network(NN). The optimal current ratio between torque current and exciting current is analytically derived to drive SynRM at maximum efficiency. This paper is proposed an efficiency optimization control for the SynRM which minimizes the copper and iron losses. The design of the speed controller based on adaptive learning mechanism fuzzy-neural networks(ALM-FNN) controller that is implemented using fuzzy control and neural networks. The objective of the efficiency optimization control is to seek a combination of d and q-axis current components, which provides minimum losses at a certain operating point in steady state. The control performance of the proposed controller is evaluated by analysis for various operating conditions. Analysis results are presented to show the validity of the proposed algorithm.

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Harmonic Analysis of the Effects of Inverter Nonlinearity on the Offline Inductance Identification of PMSMs Using High Frequency Signal Injection

  • Wang, Gaolin;Wang, Ying;Ding, Li;Yang, Lei;Ni, Ronggang;Xu, Dianguo
    • Journal of Power Electronics
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    • v.15 no.6
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    • pp.1567-1576
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    • 2015
  • Offline inductance identification of a permanent magnet synchronous motor (PMSM) is essential for the design of the closed-loop controller and position observer in sensorless vector controlled drives. On the base of the offline inductance identification method combining direct current (DC) offset and high frequency (HF) voltage injection which is fulfilled at standstill, this paper investigates the inverter nonlinearity effects on the inductance identification while considering harmonics in the induced HF current. The negative effects on d-q axis inductance identifications using HF signal injection are analyzed after self-learning of the inverter nonlinearity characteristics. Then, both the voltage error and the harmonic current can be described. In addition, different cases of voltage error distribution with different injection conditions are classified. The effects of inverter nonlinearities on the offline inductance identification using HF injection are validated on a 2.2 kW interior PMSM drive.

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
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    • 2004.11a
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    • pp.653-657
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    • 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.

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Development of the Remote-Educating Communication Tool using DCOM Voice Module (DCOM 음성 모듈을 이용한 원격 대화식 학습 도구의 개발)

  • Jang, Seung-Ju
    • The KIPS Transactions:PartA
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    • v.10A no.2
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    • pp.173-180
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    • 2003
  • This paper proposes Remote Educating Communication Tool (RECT) that allows students and teachers to communicate using Web-based Bulletin Board System. The distance teaching using DCOM (Distributed Component Object Model) voice module is used to enhance academic accomplishments for students in computer class. The DCOM voice module to be used in distance learning is designed, implemented and applied to teachers and students in the computer class in order to measure and analyze academic results. The RECT server provides Q&A sessions between students and teachers in the BBS using recording and playback functions. The client RECT includes recording and playback functions. The client module of RECT receives and uses DCOM module. When recording, the client transmits voice files with the recorded content to the server.

Middleware for Context-Aware Ubiquitous Computing

  • Hung Q.;Sungyoung
    • Korea Information Processing Society Review
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    • v.11 no.6
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    • pp.56-75
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    • 2004
  • In this article we address some system characteristics and challenging issues in developing Context-aware Middleware for Ubiquitous Computing. The functionalities of a Context-aware Middleware includes gathering context data from hardware/software sensors, reasoning and inferring high-level context data, and disseminating/delivering appropriate context data to interested applications/services. The Middleware should facilitate the query, aggregation, and discovery for the contexts, as well as facilities to specify their privacy policy. Following a formal context model using ontology would enable syntactic and semantic interoperability, and knowledge sharing between different domains. Moddleware should also provide different kinds of context classification mechanical as pluggable modules, including rules written in different types of logic (first order logic, description logic, temporal/spatial logic, fuzzy logic, etc.) as well as machine-learning mechanical (supervised and unsupervised classifiers). Different mechanisms have different power, expressiveness and decidability properties, and system developers can choose the appropriate mechanism that best meets the reasoning requirements of each context. And finally, to promote the context-trigger actions in application level, it is important to provide a uniform and platform-independent interface for applications to express their need for different context data without knowing how that data is acquired. The action could involve adapting to the new environment, notifying the user, communicating with another device to exchange information, or performing any other task.

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A Clinical Study on 3 Cases of ADHD Children Treated with Neurofeedback (뉴로피드백을 이용한 주의력결핍 과잉행동장애의 치료 3례)

  • Hwang, Young-Jun;Kim, Ki-Bong;Min, Sang-Yeon;Kim, Jang-Hyun
    • The Journal of Pediatrics of Korean Medicine
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    • v.21 no.3
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    • pp.85-95
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    • 2007
  • Objectives Attention Deficit Hyperactivity Disorder(ADHD) is a type of psychiatric disorder characterized with the primary symptoms of inattention and/or impulsivity and hyperactivity. The purpose of this study is to examine ADHD children who were treated with neurofeedback therapy. Methods We analyzed clinical report of 3 ADHD children who treated with neurofeedback therapy from January 2006 to June 2006. Results 1. All 3 children were diagnosed with predominantly inattention type of ADHD. 2. After treatment, cognitive strength, response, concentration, workload, left / right brain activity score were all different from each children. 3. After treatment, left and right brain activities were balanced. 4. After treatment, learning ability level was increased. 5. After treatment, the childrenwere in a better state referred to conner's scale and H.S.Q. score. Conclusions Further studies will be needed to get more clinical cases about the benefits of neurofeedback therapy with herbal medicine and acupuncture treatment.

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Analysis of the Status of the Robot Education Researches (국내 로봇 교육 연구 현황 분석)

  • Choi, Jeong-Won;Seo, Young-Min;Lee, Young-Jun
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2011.06a
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    • pp.397-400
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    • 2011
  • 본 논문은 로봇 교육에 대한 연구의 동향 파악을 목적으로 학술연구정보서비스(RISS)를 활용하여 2000년부터 2011년까지 발간된 로봇 교육관련 국내학술지논문 119개를 분석하였다. 구체적인 조사 영역은 활용된 로봇의 종류, 연도별 논문 발행 수, 주제, 연구 대상, 적용교과, 연구방법으로 나누고 가장 많이 다루어지고 있는 연구 부분을 파악하였다. 주로 각 논문의 초록을 면밀히 분석하였으며 모호하다고 생각이 들 경우에는 논문 내용을 확인하였다. 연구 결과 로봇 교육 관련 연구는 해가 갈수록 증가하는 추세에 있으며 연구 방법으로는 양적 연구가 주를 이루지만 2007년 이후 질적 연구와 통합 연구 또한 증가하고 있었고, 로봇은 21가지 중에 주로 사용되는 것이 NXT와 피코 크리켓, iRobiQ였다. 연구 주제는 고차원적인 사고와 정서적인 측면을 측정하는 로봇 활용 교육이 다수를 차지하였고, 대상은 주로 초등학생에 집중되어 있었다. 연구에 적용된 교과를 살펴보면 주로 정보교과와 재량활동이나 방과후 활동, 통합교육 순이었다.

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Estimation of regional Low-flow Indices Applicable to Unmetered Areas Using Machine Learning Technique (머신러닝 기법을 이용한 미계측지역에 적용가능한 지역화 Low-flow indices 산정)

  • Jeung, Se Jin;Kang, Dong Ho;Kim, Byung Sik
    • Proceedings of the Korea Water Resources Association Conference
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    • 2020.06a
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    • pp.39-39
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    • 2020
  • Low-flow 하천에서의 최저수위를 나타내는 지표이다. 일반적으로 유황곡선의 갈수량(Q355)를 대표적으로 사용한다. Low-flow는 물 공급 관리 및 계획, 관개용수, 생태계등 다양한 분야에 영향을 미친다. 이러한 Low-flow를 산정하기 위해서는 충분한 기간의 유량자료가 필요하다. 하지만 국토의 70%가 산지지형으로 구성되어 있는 우리나라의 경우 국가하천과 1급하천을 제외한 산지유역은 수위관측소가 부재하거나 결측으로 인해 자료가 충분하지 않아 Low-flow분석에 한계가 있다. 이에 과거에는 미계측지역의 갈수량을 예측하기 위해서 다중회귀분석, ARIMA 모형 등 다양한 기법을 사용하였지만, 최근들어 머신러닝 모형의 수요가 증가하고 있다. 이에 본 연구에서는 새로운 패러다임에 맞는 머신러닝 기법인 DNN기법을 사용하고자 한다. DNN기법은 ANN기법의 단점인 학습과정에서 최적 매개변수값을 찾기 어렵고, 학습시간이 느린 단점을 보완한 방법이다. 따라서 본연구에서는 머신러닝 기법인 DNN기법을 통해 미계측지역에 적용 가능한 지역화 Low-flow indices를 산정하고자 한다. 먼저, Low-flow에 영향을 미치는 인자들을 수집하고 인자들간의 상관분석, 다중공선성 분석을 통해 통계적으로 유의한 변수를 선정하여, 머신러닝 모형에 입력자료를 구축하였다. 또한 기존의 갈수량 예측기법인 다중회귀분석 결과와 비교하여 머신러닝 기법의 효용성을 검토하였다.

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