• Speech Sciences
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• v.7 no.2
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• pp.193-208
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• 2000

This paper describes a multi-step method of intonation modeling for corpus-based Korean speech synthesizer. We selected 1833 sentences considering various syntactic structures and built a corresponding speech corpus uttered by a female announcer. We detected the pitch using laryngograph signals and manually marked the prosodic boundaries on recorded speech, and carried out the tagging of part-of-speech and syntactic analysis on the text. The detected pitch was separated into 3 frequency bands of low, mid, high frequency components which correspond to the baseline, the word tone, and the syllable tone. We predicted them using the CART method and the Viterbi search algorithm with a word-tone-dictionary. In the collected spoken sentences, 1500 sentences were trained and 333 sentences were tested. In the layer of word tone modeling, we compared two methods. One is to predict the word tone corresponding to the mid-frequency components directly and the other is to predict it by multiplying the ratio of the word tone to the baseline by the baseline. The former method resulted in a mean error of 12.37 Hz and the latter in one of 12.41 Hz, similar to each other. In the layer of syllable tone modeling, it resulted in a mean error rate less than 8.3% comparing with the mean pitch, 193.56 Hz of the announcer, so its performance was relatively good.

• Journal of Korea Society of Digital Industry and Information Management
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• v.7 no.3
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• pp.175-187
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• 2011

People could be effected by other's recommendations when they are in making decision to buy something. This phenomenon was called as 'word of mouth effect' and proved to be very significant to change consumer's attitude because of a lack of information about products or services what they needed. And also there are two kinds of views about Brand communication. One is that Brand communication would be weakening due to less cost to search information. the other is that Brand communication would be strengthen because of a lack of sensibility to product. Therefore, the purpose of this study is to examine the function of online word of month and the effect of brand communication by adopting a concept of BRQ. As The results, First, Online word of mouth have significantly effected on consumer's attitude even though those information are all texts and have been suspicious if it is true or not. Second, consumer brand relationship quality have a influence on consumer's attitude. In conclusion, This study would give implications for companies to build marketing strategies.

• Journal of the Korean Society for Library and Information Science
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• v.32 no.4
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• pp.249-274
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• 1998

It is the analyses of replies showed n the questionnaire consisted of four kinds of matters to see level of knowledge among SELIS (SEoul Women's University Library and Information System) OPAC users of keyword/boolean search. The result of this analyses is : in SELIS search, users who prefer keyword search than any other, who satisfy work of retrieval by means of boolean operator, and who think it easier, show lusher level of knowledge than those who deny it in the questionnaire. Knowledges Presented in the survey are ; characteristics of keyword search, single or double keys, using boolean operator in keyword, knowledge of index, knowledge of stop list, uncontrolled term. keyword search technique, right truncation, correct application of boolean logic operator, and selecting major subject in keyword browsing. The above mentioned knowledges will work as important factors n keyword/boolean search, OPAC. For successful search it requires conceptional knowledge of information retrieval processing, or inquiry word transformation how to search required information, and semantic ability to get result questioned In the given system, when and how to apply the characteristics of the system, and scientific record for user's inquiry, or fundamental computer technology and syntax knowledge to make search word in detail. But so far now important knowledge considered as user's online index search, has been emphasized on knowledge of scientific record, and has been lag of semantic and conceptional knowledge. So, it is recommendable for online index user to train to concentrate semantic knowledge, syntax ability, and conceptional knowledge, rather than scientific technique too much.

• Journal of the Institute of Convergence Signal Processing
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• v.2 no.3
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• pp.16-23
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• 2001

In this paper, we propose the pseudo n-gram language models for speech recognition with middle size vocabulary compared to large vocabulary speech recognition using the statistical n-gram language models. The proposed method is that it is very simple method, which has the standard structure of ARPA and set the word probability arbitrary. The first, the 1-gram sets the word occurrence probability 1 (log likelihood is 0.0). The second, the 2-gram also sets the word occurrence probability 1, which can only connect the word start symbol and WORD, WORD and the word end symbol . Finally, the 3-gram also sets the ward occurrence probability 1, which can only connect the word start symbol , WORD and the word end symbol . To verify the effectiveness of the proposed method, the word recognition experiments are carried out. The preliminary experimental results (off-line) show that the word accuracy has average 97.7% for 452 words uttered by 3 male speakers. The on-line word recognition results show that the word accuracy has average 92.5% for 20 words uttered by 20 male speakers about stock name of 1,500 words. Through experiments, we have verified the effectiveness of the pseudo n-gram language modes for speech recognition.

• Proceedings of the KIEE Conference
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• 2008.10b
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• pp.290-291
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• 2008

The most popular speech feature used in speech recognition today is the Mel-Frequency Cepstral Coefficients (MFCC) algorithm, which could reflect the perception characteristics of the human ear more accurately than other parameters. This paper adopts MFCC and its first order difference, which could reflect the dynamic character of speech signal, as synthetical parametric representation. Furthermore, we quote Dynamic Time Warping (DTW) algorithm to search match paths in the pattern recognition process. We use the software "GoldWave" to record English digitals in the lab environments and the simulation results indicate the algorithm has higher recognition accuracy than others using LPCC, etc. as character parameters in the experiment for Digital Isolated Word Recognition (DIWR) system.

• Proceedings of the IEEK Conference
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• 2000.11c
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• pp.37-40
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• 2000

A fast method of Hangul address word verification is presented in this Paper. Pre-segmentation and recognition by DP matching is adopted in this paper. An address line image is over-segmented by analyzing the topology of connected components and the projection profile. A fast individual Hangul character verifier was developed by applying SVM (Support Vector Machine). The segmentation hypothesis was represented by lattice structure, and a best path search by dynamic programming generates the most probable segmentation path and the final verification score. The word verifier was tested on 310 address image DB, and it show the possibility of improvements of this method.

• Journal of the Korean Society for information Management
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• v.5 no.1
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• pp.131-152
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• 1988

It is purposed in this paper to improve the retrieval cffect~venebs through the use of the seman-- t r knowledge of search terms in a computerbased search system. This study is developed it1 three stages include the experimentation of index terms or1 the probab~listir model, indexing with relational operators, and knowledgebase design. The sl~bject experimerltrd is the specific fklds of Chemical Engineering, ' Fluid Flow' and 'Combustion: As for the system ~rnplementatlon. two kinds of search method a r e done. Orie is to search terms related to one specialty word, the other is to retriele the articles based or1 the gueries.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2006.05a
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• pp.617-618
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• 2006

The participants in collaborative environment want to get the right documents which are intended to find. In general search system, it searches documents which contain only the keywords. For searching different word-expressions for the same meaning, we perform mapping before searching. Our mapping logic consists of three steps. First, the character matching is the mapping of two terminologies that have identical character strings. Second, the definition comparing is the method that compares two terminologies' definitions. Third, the similarity checking pairs terminologies which were not mapped by two prior steps. In this paper, we propose Engineering Information Search System based on ontology mapping.

• Journal of Sasang Constitutional Medicine
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• v.25 no.4
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• pp.277-288
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• 2013

Objectives This study was aimed to propose the guideline of the diarrhea in Sasang Constitutional Medicine. Methods 1) Literature search It was investigated that the prescriptions stated the diarrhea as a main and accessory symptoms to be treated in "Donguisasangshinpyun", "Donguisusebowon Sasang Chobongwon", "Donguisusebowon Gabobon", "Donguisusebowon Sinchukbon", "Dongmuyugo" 2) Clinial paper search (1) The foreign papers were searched by using the search word with 'Sasang AND Diarrhea' in pubmed (http://www.ncbi.nlm.nih.gov/pubmed/) and The Cochrane Library(http://www.thecochranelibrary.com) (2) The domestic papers were searched by using the search word with 'Soeumin AND Diarrhea', 'Soyangin AND Diarrhea', 'Taeeumin AND Diarrhea', 'Taeyangin AND Diarrhea', 'Sasang AND Diarrhea' in NDSL (http://www.ndsl.kr), KISS(http://kiss.kstudy.com), Oasis(http://oasis.kiom.re.kr), RISS(http://www.riss.kr) (3) The extracted factors were the evaluations on the mainly complained symptom, adopted four constitutional therapy and efficacy. Results & Conclusions The guidelines for treating the diarrhea in the Four Constitutional Medicine are as follows. 1) It is to categorize the constitution. 2) The diarrhea of taeeumin is prescribed with 'A Series of Taeeumjowi-tang, Galgeunhaegi-tang, Cheongsimyeonja-tang, Sahyang-san, etc'. by classifying into cold, fever, consumption and addiction. 3) The diarrhea of soyangin is regarded as an internal disease and it is prescribed with 'Baekhaobuja-tang, Baekhaobujaijung-tang, etc'. by classifying taeeum symptom and so-yin symptom. 4) The diarrhea of soeumin is Mangeum-disease and 'Jeoryeongchajeonja-tang, Hyeongbangsabaek-san, Hwalseokgosam-tang, Hyeongbanggihwang-tang, etc'. is prescribed depending on the complication.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.20 no.5
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• pp.880-886
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• 2016

With lots of information occurring on the Internet, the search engine plays a role in gathering the scattered information on the Internet. Some search engines show not only search result pages including search keyword but also search result numbers of the keyword. The number of keyword searching result provided by the Google search engine can be utilized to identify overall trends for this search word on the internet. This paper is aimed designing and realizing the system which can efficiently manage the number of searching result provided by Google search engine. This paper proposed system operates by Web, and consist of search agent, storage node, and search node, manage keyword and search result, numbers, and executing search. The proposed system make the results such as search keywords, the number of searching, NGD(Normalized Google Distance) that is the distance between two keywords in Google area.