• 한국음향학회지
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• 제24권8호
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• pp.498-504
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• 2005

교육 및 연구 목적을 위하여 개발된 한국어 음성인식 플랫폼인 ECHOS를 소개한다. 음성인식을 위한 기본 모듈을 제공하는 BCHOS는 이해하기 쉽고 간단한 객체지향 구조를 가지며, 표준 템플릿 라이브러리 (STL)를 이용한 C++ 언어로 구현되었다. 입력은 8또는 16 kHz로 샘플링된 디지털 음성 데이터이며. 출력은 1-beat 인식결과, N-best 인식결과 및 word graph이다. ECHOS는 MFCC와 PLP 특징추출, HMM에 기반한 음향모델, n-gram 언어모델, 유한상태망 (FSN)과 렉시컬트리를 지원하는 탐색알고리듬으로 구성되며, 고립단어인식으로부터 대어휘 연속음성인식에 이르는 다양한 태스크를 처리할 수 있다. 플랫폼의 동작을 검증하기 위하여 ECHOS와 hidden Markov model toolkit (HTK)의 성능을 비교한다. ECHOS는 FSN 명령어 인식 태스크에서 HTK와 거의 비슷한 인식률을 나타내고 인식시간은 객체지향 구현 때문에 약 2배 정도 증가한다. 8000단어 연속음성인식에서는 HTK와 달리 렉시컬트리 탐색 알고리듬을 사용함으로써 단어오류율은 $40\%$ 증가하나 인식시간은 0.5배로 감소한다.

• 한국음향학회지
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• 제19권6호
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• pp.28-33
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• 2000

낱말 내에서 선행음절말-후속음절초로 연이어 나타나는 일종의 쌍자음(geminate)의 지속시간 차이를 고찰하고자 한다. (ㅁ-ㅁ) 연쇄와 (ㄴ-ㄴ) 연쇄를 중심으로 논의하였다. 한 낱말 내에서 선행하는 양순 비음 (ㅁ)과 이를 뒤따르는 양순 비음(ㅁ) 사이에 통계적으로 유의한 차이는 없다고 볼 수 있으나, 선행하는 자음의 지속시간이 약간 짧아지는 경향이 관찰되었다. 치조비음 (ㄴㄴ) 연쇄의 경우, 전반적으로, 한 낱말 내에서 선행하는 치조 비음과 이를 뒤따르는 치조 비음 사이에는 통계적으로 차이가 있으며, 선행하는 자음의 지속시간이 좀 더 길어지는 경향이 있다고 정리할 수 있다.

• 말소리와 음성과학
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• 제4권4호
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• pp.117-127
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• 2012

This research reports the prosodic characteristics (including articulation speech rate, pause characteristics, duration) of children with cochlear implants with reference to those of children with normal hearing. Subjects are 8-to 10-year-old children, balancing each number of gender as 24. Dialogue speech data are comprised of four types of sentence patterns. Results show that 1) there's a statistically meaningful difference on articulation speech rate between the two groups. 2) On pauses, they are not observed in exclamatory and declarative sentences in normal children. While imperative sentences show no statistical difference on the number of pauses between the two groups, interrogative sentences do. 3) Declarative, exclamatory, and interrogative sentences reveal statistical difference between the two groups in terms of the sentence's final two-syllable word duration, showing no difference on imperative sentences. 4) When it comes to the RFP (duration ratio of sentence final syllable to penultimate syllable), we no statistically meaningful difference between the two groups in all types of sentences exists. 5) Lastly, RWS (the ratio of sentence final two syllable word duration to that of whole sentence duration) shows statistical difference between two groups in imperative sentences, but not in all the rest types.

• 한국문헌정보학회지
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• 제17권
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• pp.49-83
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• 1989

A Full text retrieval system is a natural language document retrieval system in which the full text of all documents in a collection is stored on a computer so that every word in every sentence of every document can be located by the machine. This kind of IR System is recently becoming rapidly available online in the field of legal, newspaper, journal and reference book indexing. Increased research interest has been in this field. In this paper, research on full text databases and retrieval systems are reviewed, directions for research in this field are speculated, questions in the field that need answering are considered, and variables affecting online full text retrieval and various role that variables play in a research study are described. Two obvious research questions in full text retrieval have been how full text retrieval performs and how to improve the retrieval performance of full text databases. Research to improve the retrieval performance has been incorporated with ranking or weighting algorithms based on word occurrences, combined menu-driven and query-driven systems, and improvement of computer architectures and record structure for databases. Recent increase in the number of full text databases with various sizes, forms and subject matters, and recent development in computer architecture artificial intelligence, and videodisc technology promise new direction of its research and scholarly growth. Studies on the interrelationship between every elements of the full text retrieval situation and the relationship between each elements and retrieval performance may give a professional view in theory and practice of full text retrieval.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제16권9호
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• pp.3029-3042
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• 2022

For over half a century, the United States (US) and its coalition military aircrafts have been using Ultra High Frequency (UHF) band analog modulation (AM) radios in ground-to-air communication and short-range air-to-air communications. Evolving from this, since 2007, the US military and the North Atlantic Treaty Organization (NATO) adopted HAVE QUICK to be used by almost all aircrafts, because it had been revealed that intercepting and jamming of former aircraft communication signals was possible, which placed a serious threat to defense systems. The second-generation Anti-jam Tactical UHF Radio for NATO (SATURN) was developed to replace HAVE QUICK systems by 2023. The NATO Standardization Agreement (STANAG) 4372 is a classified document that defines the SATURN technical and operational specifications. In preparation of this future upgrade to SATURN systems, in this paper, the SATURN technical and operational specifications are reviewed, and the network synchronization, frequency hopping, and communication setup parameters that are controlled by the Network (NET) Time, Time Of Day (TOD), Word Of Day (WOD), and Multiple Word of Day (MWOD) are described in addition to SATURN Edition 3 (ED3) and future Edition 4 (ED4) basic features. In addition, an anti-jamming performance analysis (in reference to partial band jamming and pulse jamming) and the time delay queueing model analysis are conducted based on a SATURN transmitter and receiver assumed model.

• International Journal of Internet, Broadcasting and Communication
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• 제14권4호
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• pp.36-40
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• 2022

Many parts of life have been changed due to the unprecedented coronavirus outbreak, and Noncontact has now become a general culture of society around the world. Also, many years later, after the Fourth Industrial Revolution, it is now deeply embedded in the human lifestyle. The purpose of this paper's research is to investigate the metaverse perception before and after Corona. It was confirmed that the number of metaverse, the central keyword, was 70971 before Corona, but 261767 after Corona, which was more than three times the frequency. In addition, it was confirmed that the number of COVID-19, the reference point of this study, increased significantly to 1,9236 during the pre-COVID-19 period. Through this, it can be inferred that the metaverse accelerated and developed significantly after the corona. Metaverse about Keywords such as cryptocurrency, cryptocurrency, coin, and exchange appeared before Corona, and the word frequency ranking for blockchain, which is an underlying technology, was high, but after Corona, the word frequency ranking fell significantly as mentioned above. As such, it was confirmed that keywords for metaverse were changing before and after Corona, and as such, Consumers' perceptions were also changing.

• 한국멀티미디어학회논문지
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• 제25권5호
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• pp.721-729
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• 2022

The pandemic of COVID-19 has led "E-commerce+ Live streaming", the new form of retail business, development rapidly. And more and more consumers choose to buy commodities in E-commerce live streaming. According to the related investigation at home and abroad, the purchase intention and WOM intention are two important measuring factors of the effect of the direct transmission of e-commerce. In previous research, the author proved that IWOM has become an important reference for consumers to make online purchases. In this study, the author mainly focus on the impact of online WOM on consumer intention. Based on the Involvement Theory, this paper proposes a model of the influence of IWOM on WOM intention in e-commerce live broadcast which is adjusted by the product involvement degree. The results show that the characteristics of anchor, the quantity and quality of IWOM, the prescription of IWOM, the difference of IWOM and the intention of WOM are positively regulated by the product involvement. However, product involvement did not play a moderating role between relationship strength and WOM intention.

• 한국인터넷방송통신학회논문지
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• 제11권2호
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• pp.41-49
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• 2011

본 논문은 사용자가 작업하는 문서에서 검색하고자 하는 검색어를 빠르고 단순하게, 그리고 다양한 검색의 범위를 조절할 수 있는 검색 방법을 제안하고 구현한 사례를 소개한다. 기존 웹 사이트 검색 방식은 하던 작업을 멈추고 웹 브라우저를 실행하고 사이트에 접속하며 키워드를 입력하는 지루한 과정이 필요하다. 또한 검색의 결과도 장황하며, 사전, 이미지, 동영상 등 동시 검색이 필요한 경우 여러 사이트에서 여러 번 검색하는 불편함이 있다. 본 논문은 사용자가 작업하는 어떤 문서에서도 간단히 검색어를 선택하고 CTRL키와 마우스 왼쪽 버튼을 동시에 누르는 것으로 검색이 이루어지도록 한다. 이를 위해 웹 서비스를 이용할 수 있는 Open API를 이용하여 여러 검색 웹 사이트의 검색 기능을 동시에 통합적으로 활용하는 매쉬업 검색 소프트웨어를 구현한다. 본 논문에서 개발한 검색 소프트웨어는 검색의 단순 즉시성, 결과의 간결성, 검색 범위의 다양성, 기능의 확장성뿐만 아니라 작업하는 어떤 문서에도 검색이 가능한 매쉬업의 좋은 사례로 평가된다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제15권11호
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• pp.3991-4010
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• 2021

The Question Similarity Measurement of Chinese Crop Diseases and Insect Pests (QSM-CCD&IP) aims to judge the user's tendency to ask questions regarding input problems. The measurement is the basis of the Agricultural Knowledge Question and Answering (Q & A) system, information retrieval, and other tasks. However, the corpus and measurement methods available in this field have some deficiencies. In addition, error propagation may occur when the word boundary features and local context information are ignored when the general method embeds sentences. Hence, these factors make the task challenging. To solve the above problems and tackle the Question Similarity Measurement task in this work, a corpus on Chinese crop diseases and insect pests(CCDIP), which contains 13 categories, was established. Then, taking the CCDIP as the research object, this study proposes a Chinese agricultural text similarity matching model, namely, the AgrCQS. This model is based on mixed information extraction. Specifically, the hybrid embedding layer can enrich character information and improve the recognition ability of the model on the word boundary. The multi-scale local information can be extracted by multi-core convolutional neural network based on multi-weight (MM-CNN). The self-attention mechanism can enhance the fusion ability of the model on global information. In this research, the performance of the AgrCQS on the CCDIP is verified, and three benchmark datasets, namely, AFQMC, LCQMC, and BQ, are used. The accuracy rates are 93.92%, 74.42%, 86.35%, and 83.05%, respectively, which are higher than that of baseline systems without using any external knowledge. Additionally, the proposed method module can be extracted separately and applied to other models, thus providing reference for related research.

• 인문언어
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• 제6권
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• pp.147-166
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• 2004

Whitehead's discussion of language is not to be found in any one book or article. It is interwoven with his discussion of many other questions. He was, however, greatly concerned with the problem of symbolism in general and the uses of language. He regards language, spoken or written, as an instrument devised by men to aid them in their adjustment to the environment in which they live Language is used for many specific purposes in the process of this adjustment. Words are employed not only to refer to data and to express emotions. They may be used also to record experiences, and thoughts about these experiences. Worts also function as instruments in the organization of experiences as they are considered in retrospect. Thus words free us from the bondage of the immediate. And Whitehead's theory of meaning is implicit in his discussion of the functions of language. According to him, the human mind is functioning symbolically when some components of its experience elicit consciousness, beliefs, emotions, and usages, respecting other components of its experiences. The former set of components are the 'symbols', and the latter set constitute the 'meaning' of the symbols. Whitehead points out that one word may have several meanings, i.e. refer to several different data. In order to understand, thus, the meaning to which a word refers, it is sometimes very important to appreciate the system of thought within which a person is operating. Further, Whitehead's discussion of language includes a number of cogent warning the deficiencies of language, and hence the need for great care in the use of words. In fact, language developed gradually. For the most part we have created words designed to deal with practical problems. Attention focuses on the prominent features in a situation, in particular the changing aspects of things. With reference to such data our words are relatively adequate. However, this issues in an unfortunate superficiality. The enduring, the subtle, the complex and the general aspects of the universe do not have adequate verbal representation. for this reason, Whitehead's position concerning the uses of language in speculative philosophy is stated with pungent directness. The uncritical trust in the adequacy of language is one of the main errors to which philosophy is liable. Since ordinary language does not do justice to the generalities, profundities and complexities of life, it is obvious that philosophy requires new words and phrases, or at least the revision of familiar words and phrases. Proceeding to develop the theme Whitehead contends that words and phrases must be stretched towards a generality foreign to their ordinary usage. In the same vein Whitehead refers to the need to realize that language which is the tool of philosophy needs to be redesigned just as in physical science available physical apparatus needs to be redesigned. But even these words and phrases, stretched or redesigned, are never completely adequate in philosophical speculations. They are, in his opinion, merely a great improvement over ordinary language or the language science, mathematics or symbolic logic.