• Journal of Digital Convergence
• /
• v.15 no.2
• /
• pp.35-46
• /
• 2017

According to domestic and foreign research, one of the common characteristics of good teaching is a variety of class activities. To make 'Business Major English' a good class, the researcher used a variety of class activities such as professor explanation, group activities & presentation, vocabulary quizzes, reading comprehension, homework and test feedback. The participants were 39 junior students who took 'Business Major English' in 2015 and 2016. Data on student perception were gathered from questionnaires. The analysis of the data showed, first, that the class activity the students preferred the most was professor explanation. Second, the class activity which was the most helpful in understanding text content and English sentence structures was professor explanation. Third, there were not many students preferring group activities & presentation and the students found group activities & presentation the least helpful in understanding text content and English sentence structures. Given the results, this study implies that for English class activities, students' preferences and the help they perceive have a relation to the characteristics of a class and students' English proficiency.

• Korean Security Journal
• /
• no.42
• /
• pp.309-334
• /
• 2015

Now it is a proper time to discuss on the issue of crisis negotiation more in-depth. Thus far, studies on crisis negotiations have been mere manual style guidelines of "what to do". More substantial and rigorous theoretical propositions and empirical studies await for the future development of crisis negotiation field. This article contributes to the theoretical enrichment of the study of crisis negotiation field. Conventionally, two problems of misperceptions are raised in crisis negotiation. For instance, even though two parties used the same word, there can appear a substantial difference. Even worse, in many cases parties of negotiation send misinformation intentionally or unintentionally. This noise of communication can cause a serious misperception for parties of crisis negotiation including police officers, perpetrators, and hostages. However, this issue has not yet discussed in the field of crisis negotiation in Korea. This paper pointed out such important but not yet focused issue. It first discusses about the problem of perception and misperception. Next, it presents the negative impacts of such perception and misperception in crisis negotiation communication. Finally, it suggests the policy implications.

• Proceedings of the Korea Institute of Convergence Signal Processing
• /
• 2005.11a
• /
• pp.286-289
• /
• 2005

기존의 물리적 인증도구를 이용한 방식이나 패스워드 인증 방식은 분실, 도난, 해킹 등에 취약점을 가지고 있다. 따라서 지문, 서명, 홍채, 음성, 얼굴 등을 이용한 생체 인식기술을 보안 기술로 적용하려는 연구가 진행중이며 일부는 실용화도 되고 있다. 본 논문에서는 최근 널리 보급되어 있는 임베디드 시스템중의 하나인 PDA에 음성 기술을 이용한 내장형 화자 인증기를 구현하였다. 화자 인증기는 음성기술에서 널리 사용되고 있는 벡터 양자화 기술과 은닉 마코프 모델 기술을 사용하였으며, PDA의 하드웨어적인 제약 사항을 고려하여 사용되는 벡터 코드북을 두 가지로 다르게 하여 각각 구현하였다. 처음은 코드북을 화자 등록시에 발성음만을 이용하여 생성하고 화자인증 시에 이용하는 방법이며, 다른 하나는 대용량의 음성 데이터베이스를 이용하여 코드북을 사전에 생성하여 이를 화자 인증시에 이용하는 방법이다. 화자인증기의 성능평가는 5명의 화자가 10번씩 5개의 단어에 대하여 실험하여, 각각 화자종속 코득북을 이용한 인증기는 88.8%, 99.5%, 화자독립 코드북을 이용한 인증기는 85.6%, 95.5%의 인증율과 거절율을 보였으며, 93.5%와 90.0%의 평균 확률을 보였다.. 실험을 통하여 화자독립 인증기의 경우가 화자종속 인증기의 경우보다 낮은 인식율을 보였지만, 화자종속 인증기에서 나타나는 코드북 훈련시에 발생하는 메모리 문제를 해결 할 수 있었다.

• Journal of the Institute of Electronics Engineers of Korea SP
• /
• v.41 no.3
• /
• pp.209-219
• /
• 2004

In order to implement a real time hardware for keyword spotting, we propose a Single-End-Point DTW(SEP-DTW) algorithm which is simple and less complex for computation. The SEP-DTW algorithm only needs a single end point which enables efficient applications, and it has a small wont of computations because the global search area is divided into successive local search areas. Also, we adopt new local constraints and a new distance measure for a better performance of the SEP-DTW algorithm. Besides, we make a normalization of feature same vectors so that they have the same variance in each frequency bin, and each frame has the same energy levels. To construct several reference patterns for each keyword, we use a clustering algorithm for all training patterns, and mean vectors in every cluster are taken as reference patterns. In order to detect a key word for input streams of speech, we measure the distances between reference patterns and input pattern, and we make a decision whether the distances are smaller than a pre-defined threshold value. With isolated speech recognition and keyword spotting experiments, we verify that the proposed algorithm has a better performance than other methods.

• The Journal of the Korea Contents Association
• /
• v.15 no.7
• /
• pp.578-590
• /
• 2015

This paper investigated how high school students perceive on nuclear power applying semantic network analysis. The total number of 250 high school students in 6 metropolitan areas responded to the survey. Results indicate that the word which most frequently appeared is 'Nuclear plant' (87 times) following by 'Japan' (71 times), 'Danger'(59 times), 'Fukushima' (59 times), 'Radioactivity' (56 times), 'Energy' (47 times), 'Youngkwang' (37 times), 'Electricity' (30times), 'Chernobyl' (29 times), 'Explosion' (25 times). For students in higher acceptance level of nuclear 'Radioactivity' (25 times) was most frequently showed up following by 'Fukushima' (23 times), 'Energy' (21 times), 'Japan' (21 times), Nuclear plant' (20 times), 'Danger' (17 times), 'Youngkwang' (16 times). For student in lower acceptance level of nuclear, the word of 'Nuclear plant' (40 times) most frequently appeared following by 'Japan' (31 times)', 'Danger' (29 times), 'Fukushima' (23 times), 'Radioactivity' (17 times), 'Energy' (16 times), 'Youngkwang' (16 times), 'Chernobyl' (15 times).

• Annual Conference on Human and Language Technology
• /
• 2017.10a
• /
• pp.309-313
• /
• 2017

개체명은 인명, 지명, 조직명 등 문서 내에서 중요한 의미를 가지므로 질의응답, 요약, 기계번역 분야에서 유용하게 사용되고 있다. 개체명 인식은 문서에서 개체명에 해당하는 단어를 찾아 개체명 범주를 부착하는 작업을 말한다. 개체명 인식 연구에는 개체명 범주가 부착된 개체명 말뭉치를 사용한다. 개체명의 범주는 연구 분야에 따라 다양하게 정의되므로 연구 분야에 적합한 개체명 말뭉치가 필요하다. 하지만 이런 말뭉치를 구축하는 일은 시간과 인력이 많이 필요하다. 따라서 본 논문에서는 개체명 사전 기반의 반자동 말뭉치 구축 도구를 제안한다. 제안하는 도구는 크게 전처리, 사용자 태깅, 후처리 단계로 나뉜다. 전처리 단계는 자동으로 개체명을 찾는 단계이다. 약 11만 개의 개체명을 기반으로 하여 트라이(trie) 구조의 개체명 사전을 구축한 후 사전을 이용하여 개체명을 자동으로 찾는다. 사용자 태깅 단계는 사용자가 수동으로 개체명을 태깅하는 단계이다. 전처리 단계에서 찾은 개체명 중 오류가 있는 개체명들은 수정하거나 삭제하고, 찾지 못한 개체명들은 사용자가 추가로 태깅하는 단계이다. 후처리 단계는 태깅한 결과로부터 사전 정보를 갱신하는 단계이다. 제안한 말뭉치 구축 도구를 이용하여 752개의 뉴스 기사에 대해 개체명을 태깅한 결과 7,620개의 개체명이 사전에 추가되었다. 제안한 도구를 사용한 결과 사용하지 않았을 때 비해 약 57.6% 정도 태깅 횟수가 감소했다.

• Journal of Korea Game Society
• /
• v.9 no.4
• /
• pp.67-80
• /
• 2009

In this paper, we described the development of a Korean Manual Alphabet (KMA) learning game with avatar. KMA letters correspond to the vocabulary of Korean Sign Language (KSL) when spelling a word. Each KMA letter corresponds to a letter of the Korean Alphabet (KA) and KA is represented as hand shapes by sign language user. We developed a KMA learning game for a beginner to learn KMA letters from sign language avatar and practice KMA presentation easily. The system composed of sign language teacher avatar GUI popup window based on OpenGL, KMA letter recognition module, KA letter raining game module and USB camera. A user learns a KMA letter with expressing KA syllabic from avatar and inputs a KMA letter to the system using USB camera. We evaluated the efficiency of the developed system through the verification of users.

• Journal of the Korean Geographical Society
• /
• v.43 no.2
• /
• pp.188-201
• /
• 2008

With recent rapid globalization, accurate information for the foreign countries is increasingly important. Errors based on inaccurate information and unequal international relationships complicate the situations. In this article, authors analyzed the Japanese place names which appear on the Google Earth images and place name database of the NGA. Google Earth already becomes a tremendous soft power in internet society; therefore, accurate information on the satellite image is more necessary than ever. This article finds that many types of errors exist in the place names in Google Earth image service. Also many place names are listed with Japanese pronunciation in GNS database as variants. The Japanese place names have not been used in topographic maps published since 1910s and 1930s. Japanese place names were widely used in US military maps published in 1946. 1:250,000 maps published in 1954, however, doesn't seem to use Japanese pronunciation any more.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.12 no.5
• /
• pp.2402-2409
• /
• 2011

The voice has distinguishable acoustic properties of speaker as well as transmitting information. The speaker recognition is the method to figures out who speaks the words through acoustic differences between speakers. The speaker recognition is roughly divided two kinds of categories: speaker verification and identification. The speaker verification is the method which verifies speaker himself based on only one's voice. Otherwise, the speaker identification is the method to find speaker by searching most similar model in the database previously consisted of multiple subordinate sentences. This paper composes feature vector from extracting MFCC coefficients and uses the dynamic time warping algorithm to compare the similarity between features. In order to describe common characteristic based on phonological features of spoken words, two subordinate sentences for each speaker are used as the training data. Thus, it is possible to identify the speaker who didn't say the same word which is previously stored in the database.

• Journal of KIISE
• /
• v.44 no.1
• /
• pp.51-56
• /
• 2017

The research area for solving question answering (QA) problems using artificial intelligence models is in a methodological transition period, and one such architecture, the dynamic memory network (DMN), is drawing attention for two key attributes: its attention mechanism defined by neural network operations and its modular architecture imitating cognition processes during QA of human. In this paper, we increased accuracy of the inferred answers, by adapting an automatic data augmentation method for lacking amount of training data, and by improving the ability of time perception. The experimental results showed that in the 1K-bAbI tasks, the modified DMN achieves 89.21% accuracy and passes twelve tasks which is 13.58% higher with passing four more tasks, as compared with one implementation of DMN. Additionally, DMN's word embedding vectors form strong clusters after training. Moreover, the number of episodic passes and that of supporting facts shows direct correlation, which affects the performance significantly.