• 대한지구과학교육학회지
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• 제9권3호
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• pp.323-340
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• 2016

이 연구의 목적은 지구와 달의 공전 궤도를 고려한 달의 위상 변화 관찰 교구의 효과를 알아보고자 하는 것이다. 이를 위하여 지구의 공전 궤도와 $5^{\circ}$ 기울어진 달의 공전 궤도를 나타내는 달의 위상 변화 관찰 교구를 개발하였다. 그리고 이 교구의 효과를 확인하기 위해 제주시내 초등학교 6학년 110명의 학생을 실험집단과 비교집단으로 나누어 연구를 실시하였다. 실험집단 55명의 학생은 이 연구에서 개발한 달의 위상 변화 관찰 교구를 활용하여 수업을 진행하였고 비교집단 55명의 학생은 현행 교과서 활동으로 수업을 진행하였다. 실험집단과 비교집단의 학생들에게 달의 위상 변화에 대한 사전, 사후, 지연 개념검사와 개념수준별 반구조화된 면담을 실시하였다. 학생들의 응답에 따라 '위상 인지', '우주적 관점', '지구적 관점', '인지 불가'로 개념 수준을 구분하였다. 사전개념검사에서 t-검정 결과 실험집단과 비교집단은 동질 집단임을 확인할 수 있었다. 사후개념검사와 지연개념검사에서 실험집단은 비교집단보다 통계적으로 유의미하게 높은 점수를 얻었다. 또한 실험집단은 비교집단보다 상위 개념 수준인 '위상 인지'에 속하는 학생 수가 많았다. 반구조화된 면담 결과 '위상 인지'와 '우주적 관점'에 속한 실험집단 학생들은 비교집단 학생들보다 달의 위상 변화에 대해 더 과학적으로 설명하였다. 이를 통해 지구와 달의 공전 궤도를 고려한 달의 위상 변화 관찰 교구가 효과가 있음을 확인할 수 있다.

• 대한음성학회:학술대회논문집
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• 대한음성학회 1996년도 10월 학술대회지
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• pp.472-472
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• 1996

The material of database for speech recognition should include phonetic phenomena as much as possible. At the same time, such material should be phonetically compact with low redundancy[1, 2]. The phonetic phenomena in continuous speech is the key problem in speech recognition. This paper describes the processing of a set of sentences collected from the database of 1993 and 1994 "People's Daily"(Chinese newspaper) which consist of news, politics, economics, arts, sports etc.. In those sentences, both phonetic phenometla and sentence patterns are included. In continuous speech, phonemes always appear in the form of allophones which result in the co-articulary effects. The task of designing a speech database should be concerned with both intra-syllabic and inter-syllabic allophone structures. In our experiments, there are 404 syllables, 415 inter-syllabic diphones, 3050 merged inter-syllabic triphones and 2161 merged final-initial structures in read speech. Statistics on the database from "People's Daily" gives and evaluation to all of the possible phonetic structures. In this sentence set, we first consider the phonetic balances among syllables, inter-syllabic diphones, inter-syllabic triphones and semi-syllables with their junctures. The syllabic balances ensure the intra-syllabic phenomena such as phonemes, initial/final and consonant/vowel. the rest describes the inter-syllabic jucture. The 1560 sentences consist of 96% syllables without tones(the absent syllables are only used in spoken language), 100% inter-syllabic diphones, 67% inter-syllabic triphones(87% of which appears in Peoples' Daily). There are rougWy 17 kinds of sentence patterns which appear in our sentence set. By taking the transitions between syllables into account, the Chinese speech recognition systems have gotten significantly high recognition rates[3, 4]. The following figure shows the process of collecting sentences. [people's Daily Database] -> [segmentation of sentences] -> [segmentation of word group] -> [translate the text in to Pin Yin] -> [statistic phonetic phenomena & select useful paragraph] -> [modify the selected sentences by hand] -> [phonetic compact sentence set]

• 한국정보통신학회:학술대회논문집
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• 한국해양정보통신학회 2006년도 춘계종합학술대회
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• pp.809-812
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• 2006

본 논문은 철강공장의 연주공정에서 만들어진 슬라브 소재의 관리를 위해 사용되는 소재 관리문자를 실시간으로 인식하기 위한 비전시스템 개발 결과에 대해 기술한다. 슬라브 재질의 단면에 마킹된 소재 관리문자는 슬라브가 다음 공정인 열연공정으로 이동하기 전에 공정상에서 실시간으로 인식된다. 문자인식 시스템은 영상획득을 위한 카메라 시스템, 영상을 장거리로 고속 전송하기 위한 영상전송 시스템, 기존 시스템과의 인터페이스를 위한 입 출력 장치로 구성된다. 개발된 문자인식 시스템을 실제 철강공장에 설치하여 운용테스트를 실시했다. 테스트 기간 중에 시스템의 내구성과 신뢰성을 검증하고 최종적으로 문자 인식률을 검증했다. 개발된 시스템에 대해 현장 테스트 결과 실험실 수준과 비슷한 수준의 인식률을 가졌다.

• 음성과학
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• 제11권3호
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• pp.143-156
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• 2004

In this paper, we implemented a vocabulary-independent speech recognizer using the TMS320VC33 DSP. For this implementation, we had developed very small-sized recognition engine based on diphone sub-word unit, which is especially suited for embedded applications where the system resources are severely limited. The recognition accuracy of the developed recognizer with 1 mixture per state and 4 states per diphone is 94.5% when tested on frequently-used 2000 words set. The design of the hardware was focused on minimal use of parts, which results in reduced material cost. The finally developed hardware only includes a DSP, 512 Kword flash ROM and a voice codec. In porting the recognition engine to the DSP, we introduced several methods of using data and program memory efficiently and developed the versatile software protocol for host interface. Finally, we also made an evaluation board for testing the developed hardware recognition module.

• 한국인공지능학회지
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• 제4권1호
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• pp.1-3
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• 2016

These days, citizens are interested in the energy. IT technology needs to develop and to make use of energy effectively and to save energy. In this study, motion recognition LED lamp was used to have good energy efficiency and to be made of environment friendly material. The purpose of development of the lamp was to add motion recognition to LED lamp. In this study, infrared ray sensor's distance measurement was used to develop LED lamp. Most of the lamps were used under dark environment, so that infrared ray sensor was used to perceive movement under dark environment. And, LED lamp with good efficiency and less power consumption was used to increase efficiency. Citizens were interested in perception of the movement to distinguish from conventional type of the lamps.

• 한국도서관정보학회지
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• 제34권2호
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• pp.19-42
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• 2003

본 논문에서는 학교도서관 정보시스템에 관한 교사들의 인식확산이 학교도서관의 발전에 미치는 영향이 크다고 보아, 교사들을 대상으로 설문지를 통하여 인식도 정도를 분석하였다. 인식도 정도 분석의 궁극적인 목적은 학교도서관의 활성화 방안을 모색하는데 있으며, 학교도서관의 정보시스템 구축의 근본적인 대안을 찾는데 있다. 분석된 자료는 교사를 대상으로 학교도서관 교육프로램을 개발하는데 기초자료로 활용할 수 있으며 학교도서관의 본질적 기능을 회복하는데 기인 할 수 있다.

• 전자공학회논문지B
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• 제31B권2호
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• pp.28-34
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• 1994

In this paper, a new time-domain parameter extraction method for speech recognition is proposed. The suggested emthod is based on the fact that the local peak-to-peak interval, i.e., the interval between maxima and minima of speech waveform is closely related to the frequency component of the speech signal. The parameterization is achieved by a sort of filter bank technique in the time domain. To test the proposed parameter extraction emthod, an isolated word recognizer based on Vector Quantization and Hidden Markov Model was constructed. As a test material, 22 words spoken by ten males were used and the recognition rate of 92.9% was obtained. This result leads to the conclusion that the new parameter extraction method can be used for speech recognition system. Since the proposed method is processed in the time domain, the real-time parameter extraction can be implemented in the class of personal computer equipped onlu with an A/D converter without any DSP board.

• 비파괴검사학회지
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• 제10권2호
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• pp.23-31
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• 1990

Acoustic Emission(AE) signals obtained during fracture toughness test and fatigue test for nuclear pressure vessel material(SA 508 cl.3) and artificial AE signals from pencil break and ultrasonic pulser were classified using pattern recognition methods. Three different classifiers ; namely Minimum Distance Classifier, Linear Discriminant Classifier and Maximum Likelihood Classifier were used for pattern recognition. In this study, the performance of each classifier was compared. The discrimination of AE signals from cracking and crack surface rubbing was possible and the analysis for crack propagation was applicable by pattern recognition methods.

• 로봇학회논문지
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• 제5권2호
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• pp.143-151
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• 2010

Automation and robotization has been required in construction for several decades and construction industry has become one of the important research areas in the field of service robotics. Especially in the steel construction, automatic recognition of structural steel members in the stockyard is emphasized. However, since the pose of steel frame in the stockyard is site dependent and also the stockyard is usually in the outdoor environment, it is difficult to determine the pose automatically. This paper adopts the recognition method based on the augmented reality to cope with this problem. Particularly focusing on the light condition of the outdoor environment, we formulated the optimization problem with the constraint and suggested the methodology to evaluate the optimal camera arrangement. From simulation results, sub-optimal solution for the position of the camera can be obtained.

• 한국전기전자재료학회논문지
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• 제25권1호
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• pp.76-83
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• 2012

In a real-time indoor place recognition system using image features detection, specific markers included in input image should be detected exactly and quickly. However because the same markers in image are shown up differently depending to movement, direction and angle of camera, it is required a method to solve such problems. This paper proposes a technique to extract the features of object without regard to change of the object scale. To support real-time operation, it adopts SURF(Speeded up Robust Features) which enables fast feature detection. Another feature of this system is the user mark designation which makes possible for user to designate marks from input image for location detection in advance. Unlike to use hardware marks, the feature above has an advantage that the designated marks can be used without any manipulation to recognize location in input image.