• 음성과학
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• 제6권
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• pp.163-179
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• 1999

For the set up, management and repair of a mobile communication system, continuous estimation of speech quality is required. Speech quality measurement can be conducted by listener's judgement in a subjective test such as MOS (Mean Opinion Score) test. However, this method is laborious, expensive and time-consuming, it is advisable to predict subjective speech quality via objective measures. This paper presents a robust objective speech quality measure, PLP-CMS (Perceptual Linear Predictive-Cepstral Mean Subtraction), which can predict subjective speech quality in mobile communication systems. PLP-CMS has a high correlation with subjective quality owing to PLP (Perceptual Linear Predictive) analysis and shows a robust performance not being influenced by PSTN (Public Switched Telephone Network) channel effects due to CMS (Cepstral Mean Subtraction). To prove the performance of our proposed algorithm, we carried out subjective and objective quality estimation on speech samples which are variously distorted in a real mobile communication system. As a result, we demonstrated that PLP-CMS has a higher correlation with subjective quality than PSQM (Perceptual Speech Quality Measure) and PLP-CD (Perceptual Linear Predictive-Cepstral Distance).

• 한국정보기술응용학회:학술대회논문집
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• 한국정보기술응용학회 2002년도 추계공동학술대회 정보환경 변화에 따른 신정보기술 패러다임
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• pp.433-439
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• 2002

정부의 출연에 의하여 수행된 정보통신부문 공공 R'||'&'||'amp;D성과 중에서 경쟁력을 갖춘 기술을 발굴하여 국가산업 발전에 기여하는 소위 '스타기술'로 육성하고자 공공R'||'&'||'amp;D기술 중 유망기술을 선정하기 위한 기술성 평가를 실시하였다 특히 지금까지 기술이전, 논문 및 지적재산권 등 정량적 지표를 중심으로 분석되었던 기술적 효과분야에 정성적 지표를 도입하여 해당분야의 전문가 의견조사 실시하였고 이를 바탕으로 정보통신 R'||'&'||'amp;D활동의 기술성 평가를 실시하였다. 평가요소는 기술유용성과 기술경쟁력 관련항목으로 구분하여 선정하였고 두 가지 측을 기준으로 기술성관점에서 본 분야별 유망품목을 선정하였다.

• 한국전자통신학회논문지
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• 제11권11호
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• pp.1077-1082
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• 2016

MANET 라우팅 기능에 혼란을 초래하여 네트워크 전송기능을 저하시키는 악성공격에 대한 대응수단으로 IDS가 사용된다. 본 논문에서는 전송패킷의 일부를 공격대상으로 하는 그레이홀 공격이 있는 MANET에서 IDS가 전송성능에 미치는 영향을 분석하고, 그레이홀 공격에 대한 효과적인 IDS 조건을 살펴본다. 성능분석은 NS-2를 기반으로 하는 컴퓨터 시뮬레이션을 사용하며, VoIP를 응용서비스로 하여 전송성능을 측정한다. 음성전송의 표준전송품질척도인 MOS, CCR, 종단간지연 등을 성능측정 및 분석 파라미터로 사용한다.

• 한국응용과학기술학회지
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• 제37권1호
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• pp.76-82
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• 2020

Big data analysis in healthcare research seems to be a necessary strategy for the convergence of sports science and technology in the era of the Fourth Industrial Revolution. The purpose of this study is to provide the basic review to secure the diversity of big data and healthcare convergence by discussing the concept, analysis method, and application examples of big data and by exploring the application. Text mining, data mining, opinion mining, process mining, cluster analysis, and social network analysis is currently used. Identifying high-risk factor for a certain condition, determining specific health determinants for diseases, monitoring bio signals, predicting diseases, providing training and treatments, and analyzing healthcare measurements would be possible via big data analysis. As a further work, the big data characteristics provide very appropriate basis to use promising software platforms for development of applications that can handle big data in healthcare and even more in sports science.

• Applied Microscopy
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• 제29권4호
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• pp.451-457
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• 1999

성충초파리의 단안을 일반적인 방법(conventional)과 오스뮴침착법(osmium impregnation)을 이용한 전자현미경적 수준에서 미세구조를 비교하였다. 오스뮴침착법에서는 세포내의 특정 소기관들이 강하게 염색되었는데, 그 중에서도 간상분체의 바로 아래에 있는 SRC가 강하게 염색되고, 복안에서와 같이 그물구조를 보이고 있었다. SSC, ER, 핵막, 색소과립 미토콘드리아 등이 강하게 오스뮴에 의해서 염색된 것이 관찰되었다. 이들 소기관들은 공통적으로 칼슘이온의 저장과 깊은 관계가 있는 것으로 알려져 있다. 결론적으로 오스뮴침착법에 의해 얻어진 강한 명암대비 및 막구조의 강조효과는 이들 칼슘저장고에 존재하는 칼슘이온과 오스뮴의 강한 결합에 의한 것으로 사료된다. 그러므로 저자들은 세포소기관들의 형태를 비교하는 데에는 오스뮴침착법이 유용한 방법이 될 것이다.

• 디지털융복합연구
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• 제5권1호
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• pp.55-68
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• 2007

It soaks but 2001 July information communication base step law enforcement and the Enforcement Ordinance are published to follow, in order to support the establishment of evaluation and protective measure in order the vulnerability analysis against the facility of the agency which manages an important information communication base hour opinion to designate information protection specialty enterprise. As information protection specialty enterprise being revealed evacuation laboratory back 12 enterprises from information communication department become designation as the consulting enterprise and they do an enterprise activity actively. It follows in diffusion of the IT and information reconciliation level the other side where our country belongs in the world-wide first group, the research against the disfunction plan of preparation comparison the fact that law it is come negligently all actuality. The network as it will give management coat fatal effect even at obstacle occurrence hour of instant for of case and IT facility of the cyber transactions which leads, in the future there to be to corporate management, there is a possibility the stable civil official of information Facilities for communications very seeing in the portion which is important. Present condition and important propulsion contents of information communication base step law enforcement after, against a vulnerability analysis of information protection relation field and evaluation consulting methodological application situation to sleep it researches from the dissertation which it sees consequently and it does.

• 한국GIS학회:학술대회논문집
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• 한국GIS학회 1998년도 추계학술대회 발표요약문
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• pp.20-25
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• 1998

본 연구는 광역 하수도계획에 관련된 의사결정을 합리적으로 지원할 수 있도록, GIS의 공간분석 능력과 D/B간의 정보교환 체계 그리고 중력모형의 공간상호작용력 계산구조를 이용하여 광역 하수처리 권역을 설정하였다. 도출된 영향인자는 경제 지표, 사회·정책 지표 그리고 환경지표로 구분되며, 공간정보와 속성정보간의 정보교환 체계는 GIS와 D/B간의 연계를 통하여 구축하였다. 본 연구의 결과는 기존 행정구역 중심의 하수도계획을 수계전반의 경제성과 환경성을 고려한 광역하수도계획으로 전환시킬 수 있는 기반을 형성한다.

• Journal of Information Science Theory and Practice
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• 제3권1호
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• pp.6-23
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• 2015

This study develops an effective method for sentiment analysis of user-generated content on drug review websites, which has not been investigated extensively compared to other general domains, such as product reviews. A clause-level sentiment analysis algorithm is developed since each sentence can contain multiple clauses discussing multiple aspects of a drug. The method adopts a pure linguistic approach of computing the sentiment orientation (positive, negative, or neutral) of a clause from the prior sentiment scores assigned to words, taking into consideration the grammatical relations and semantic annotation (such as disorder terms) of words in the clause. Experiment results with 2,700 clauses show the effectiveness of the proposed approach, and it performed significantly better than the baseline approaches using a machine learning approach. Various challenging issues were identified and discussed through error analysis. The application of the proposed sentiment analysis approach will be useful not only for patients, but also for drug makers and clinicians to obtain valuable summaries of public opinion. Since sentiment analysis is domain specific, domain knowledge in drug reviews is incorporated into the sentiment analysis algorithm to provide more accurate analysis. In particular, MetaMap is used to map various health and medical terms (such as disease and drug names) to semantic types in the Unified Medical Language System (UMLS) Semantic Network.

• Nuclear Engineering and Technology
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• 제51권2호
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• pp.626-630
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• 2019

After several significant nuclear accidents, public attitudes toward nuclear energy technologies and facilities are considered to be one of the essential factors in the national energy and electricity policy-making process of several nations that employ nuclear energy as their key energy resource. However, it is difficult to explore and capture such an attitude, because the majority of prior studies analyzed public attitudes with a limited number of respondents and fragmentary opinion polls. In order to supplement this point, this study suggests a big data analyzing method with K-LIWC (Korean-Linguistic Inquiry and Word Count), sentiment and query analysis methods, and investigates public attitudes, positive and negative emotional statements about nuclear energy with the collected data sets of well-known social media and network services in Korea over time. Results show that several events and accidents related to nuclear energy have consistent or temporary effects on the attitude and ratios of the statements, depending on the kind of events and accidents. The presented methodology and the use of big data in relation to the energy industry is suggested as it can be helpful in addressing and exploring public attitudes. Based on the results, implications, limitations, and future research areas are presented.

• 아시아태평양코퍼스연구
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• 제1권2호
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• pp.57-72
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• 2020

This study seeks to add to the current understanding of learners' use of modality in argumentative writing. A learner corpus of argumentative essays on four topics was created and compared to native English speaker data from the International Corpus Network of Asian Learners of English (ICNALE). The relationship between learners' use of modal devices (MDs) and the devices' appearance in the school's curriculum was also examined. The results showed that learners relied on a very narrow range of MDs compared to those in previous studies. The frequency of use of MDs varied based on the topic and did not seem to be driven by cultural factors as has been previously suggested. Learners used more hedges than boosters on all topics, contradicting most previous studies. Curriculum was determined to have a direct correlation with MD use, and other important factors may include perception of topic and overreliance on certain MDs over others (the One-to-One principal). This research implies that learners' perception of topic should be explored further as a variable affecting MD use. Curricula should be designed based on frequency of MD use by English native speakers, and learners should receive instruction that teaches the norms of MD use in academic writing. The methodology used in the study to determine correlations between MD use and the curriculum has a wide range of potential applications in the field of Contrastive Interlanguage Analysis.