• Title/Summary/Keyword: word selection

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A Method for the high speed selection of information in the magnetic memory core (기억자심에서의 정보선택의 고속화방법)

  • 이주근
    • Journal of the Korean Institute of Telematics and Electronics
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    • v.6 no.3
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    • pp.1-7
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    • 1969
  • The Series RC load is connected with the word line in an attempt to select with high speed the information from the coincident current magnetie memory core. By taking the small time constant of the RC load, the cycle time of the output pulse is shortened by about 2 microseconds to 3 micro seconds. For this purpose, the analytical study are accomplished and the optimum circuit parameters are determined. Furthermore, the thermal problems occuring from the high speed switching of the magnetic memory core have been clarified.

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Target Word Selection using Word Similarity based on Latent Semantic Structure in English-Korean Machine Translation (잠재의미구조 기반 단어 유사도에 의한 역어 선택)

  • 장정호;김유섭;장병탁
    • Proceedings of the Korean Information Science Society Conference
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    • 2002.04b
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    • pp.502-504
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    • 2002
  • 본 논문에서는 대량의 말뭉치에서 추출된 잠재의미에 기반하여 단어간 유사도를 측정하고 이를 영한 기계 번역에서의 역어선택에 적용한다. 잠재의미 추출을 위해서는 latent semantic analysis(LSA)와 probabilistic LSA(PLSA)를 이용한다. 주어진 단어의 역어 선택시 기본적으로 연어(collocation) 사전을 검색하고, 미등록 단어의 경우 등재된 단어 중 해당 단어와 유사도가 높은 항목의 정보를 활용하며 이 때 $textsc{k}$-최근접 이웃 방법이 이용된다. 단어들간의 유사도 계산은 잠재의미 공간상에서 이루어진다. 실험에서, 연어사전만 이용하였을 경우보다 최고 15%의 성능 향상을 보였으며, PLSA에 기반한 방법이 LSA에 의한 방법보다 역어선택 성능 면에서 약간 더 우수하였다.

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DMAC implementation On $Excalibur^{TM}$ ($Excalibur^{TM}$ 상에서의 DMAC 구현)

  • Hwang, In-Ki
    • Proceedings of the KIEE Conference
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    • 2003.11c
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    • pp.959-961
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    • 2003
  • In this paper, we describe implemented DMAC (Direct Memory Access Controller) architecture on Altera's $Excalibur^{TM}$ that includes industry-standard $ARM922T^{TM}$ 32-bit RISC processor core operating at 200 MHz. We implemented DMAC based on AMBA (Advanced Micro-controller Bus Architecture) AHB (Advanced Micro-performance Bus) interface. Implemented DMAC has 8-channel and can extend supportable channel count according to user application. We used round-robin method for priority selection. Implemented DMAC supports data transfer between Memory-to-Memory, Memory-to-Peripheral and Peripheral-to-Memory. The max transfer count is 1024 per a time and it can support byte, half-word and word transfer according to AHB protocol (HSIZE signals). We implemented with VHDL and functional verification using $ModelSim^{TM}$. Then, we synthesized using $LeonardoSpectrum^{TM}$ with Altera $Excalibur^{TM}$ library. We did FPGA P&R and targeting using $Quartus^{TM}$. We can use implemented DMAC module at any system that needs high speed and broad bandwidth data transfers.

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Factors Affecting Online Hotel Selection Behavior of Domestic Tourists: An Empirical Study from Vietnam

  • LE, Ngan Ngoc Kim;BUI, Bao Trong Tien
    • The Journal of Asian Finance, Economics and Business
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    • v.9 no.5
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    • pp.187-199
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    • 2022
  • The purpose of this study was to offer a new conceptual framework based on a combination of the TPB model, the TAM model, and two additional constructs consisting of eWOM and pricing value called the E-P-TAM-TPB model, and to assess the model's implications on hotel selection behavior. This study empirically examines the E-P-TAM-TPB model to evaluate and validate domestic tourists' online hotel booking intentions by using the partial least squares structural equation modeling (PLS-SEM) approach. The data was collected from 355 domestic tourists who booked the room via the hotel website. The major findings of this study indicated that the E-P-TAM-TPB model has a positive significant influence on online hotel selection behavior. The results revealed that all proposed hypotheses were declared supported. Future studies should build on the framework by incorporating potential moderators to better understand how different groups of customers behave online in different segments of the hospitality industry. Managers must not only develop an easy booking process but also provide price value information to attract or impress clients. Tourists can compare room rates with other hotel websites and OTAs.

A Study on Impacts of Selection Attribute of Jeju Local Folklore Food on Customers' Behaviors -Focusing on Customer Satisfaction, Re-visit, and Word of Mouth of Jeju Tourists- (제주 향토음식 선택속성이 고객행동에 미치는 영향 -제주방문 관광객의 고객만족, 재방문, 구전을 중심으로-)

  • Yang, Tai-Seok;Oh, Myung-Cheol
    • Journal of the Korean Society of Food Science and Nutrition
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    • v.38 no.5
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    • pp.636-643
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    • 2009
  • This research was to find out what impacts do selection attributes of Jeju local folklore food by Jeju tourists provide on their behaviors. Multiple regression analysis was carried out using statistics package of SPSS+/WIN 12.0 to find out impacts of selection attribute factors of Jeju local folklore food on customers' satisfaction, re-visit, and intention by word of mouth. As the results, for factors with statistically meaningful impacts at the level of meaningfulness (p<0.05); level of satisfaction showed regression coefficient of 0.476 and t value of 5.198 in essential factors; auxiliary factors showed regression coefficient of 0.232 and t value of 2.808; and sensual (five senses) factors showed regression coefficient of 0.165 and t-value of 2.013. Also, for re-visit, essential factors showed impacts with regression coefficient of 0.413 and t-value of 3.540; factors of menu composition showed regression coefficient of 0.228 and t-value of 3.118; and auxiliary factors showed regression coefficient of 0.218 and t-value of 2.643. In positive word of mouth factors, auxiliary factors showed impacts with regression coefficient of 0.273 and t-value of 2.555; sensual (five senses) factors showed regression coefficient of 0.264 and t-value of 2.238; essential factor showed regression coefficient of 0.237 and t-value of 2.230 and factors of menu composition showed regression coefficient of 0.161 and t-value of 2.167. Therefore, in customer behaviors (customer satisfaction, re-visit, and positive word of mouth) regarding Jeju local folklore food by tourists who visited Jeju, local folklore and cultures did not impact on customer behaviors; also, it can suggested this thesis is meaningful as a study proving that the best marketing is focus on essential substances of food as indicated in existing researches.

Web Site Keyword Selection Method by Considering Semantic Similarity Based on Word2Vec (Word2Vec 기반의 의미적 유사도를 고려한 웹사이트 키워드 선택 기법)

  • Lee, Donghun;Kim, Kwanho
    • The Journal of Society for e-Business Studies
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    • v.23 no.2
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    • pp.83-96
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    • 2018
  • Extracting keywords representing documents is very important because it can be used for automated services such as document search, classification, recommendation system as well as quickly transmitting document information. However, when extracting keywords based on the frequency of words appearing in a web site documents and graph algorithms based on the co-occurrence of words, the problem of containing various words that are not related to the topic potentially in the web page structure, There is a difficulty in extracting the semantic keyword due to the limit of the performance of the Korean tokenizer. In this paper, we propose a method to select candidate keywords based on semantic similarity, and solve the problem that semantic keyword can not be extracted and the accuracy of Korean tokenizer analysis is poor. Finally, we use the technique of extracting final semantic keywords through filtering process to remove inconsistent keywords. Experimental results through real web pages of small business show that the performance of the proposed method is improved by 34.52% over the statistical similarity based keyword selection technique. Therefore, it is confirmed that the performance of extracting keywords from documents is improved by considering semantic similarity between words and removing inconsistent keywords.

Factors Influencing Chinese Customers' Selection of Health Care Service Countries: Focusing on Word-of-Mouth Moderating Effects (중국고객 해외의료관광국가 선택의도에 영향을 미치는 요인에 관한 연구: 구전 조절효과를 중심으로)

  • Zhang, Jun;Lee, Hoon-Young
    • Journal of Distribution Science
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    • v.13 no.12
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    • pp.41-52
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    • 2015
  • Purpose - Given globalization, the new niche market of medical tourism is likely to experience sustainable growth for various reasons, such as aging populations and a shift in the medical consumerism paradigm toward prevention. Importantly, understanding medical customers' behavior is necessary to benefit from a competitive advantage in this industry. The existing research primarily accessed the key factors of medical quality and costs to explain health customers' behavior but is limited in terms of enabling an understanding of the decision process. This limitation exists because, given the intangibility and greater associated risks in the highly professional industry of international medical tourism, most customers lack the knowledge and experience needed to evaluate the central factors-such as the medical competence of health care countries-before purchases. Therefore, they actively search for useful information through various distributions to reduce uncertainty and to make better choices. Interestingly, most of these information channels are associated with word-of-mouth (WOM). However, no evidence is found in the literature to estimate the effect of WOM in the medical tourism field. Thus, this study focuses on WOM to explore its interaction with key medical characteristic factors and the attractiveness of destinations referred to by sources. This study also affects customers' evaluations and, in turn, influences their intention to seek health care services abroad. Research design, data, and methodology - The literature review addressed an interesting research model for estimating the relations among WOM, medical characteristics, attractiveness, and customers' choice intention regarding international health care. In the key economic regions in China, such as Beijing, Shanghai, Jiangsu, Shandong, and Guangdong, 2,500 survey questionnaires were distributed to potential customers of different ages, education, and income levels. A resulting 1,717 (68.68 percent of the original 2,500) usable surveys were obtained for analysis. Moderated regression analysis was used to determine the effects of WOM in the decision process regarding international health care destinations. Results - The results indicate that WOM is a good moderator of the relationships between the factors evaluated by sources and customers. More importantly, the WOM effects reflect the factors of tie strength, credibility, and vividness. The results also reveal that, given the moderating role of WOM, the intention of potential Chinese customers to seek the referred health care country varies according to the medical characteristics of medical competency and reputation as evaluated by customers. In contrast, the travel attractiveness of the attractions, facilities, accessibility, and social environment are critical determinants of destination choice intention. Conclusions - The moderating role of WOM has been confirmed through the international healthcare destination selection process. Medical tourism managers should user WOM as an effective marketing tool for industry development. Specially, marketers should consider the effects of WOM determinants, such as tie strength, credibility, and vividness, to develop an effective strategy. Furthermore, this study estimates the factors that affect customers' selection of medical tourism destinations. Health care managers or policy makers should consider a broad variety of variables that may attract more Chinese customers to international health care.

Descriptor Profiling for Research Domain Analysis (연구영역분석을 위한 디스크립터 프로파일링에 관한 연구)

  • Kim, Pan-Jun;Lee, Jae-Yun
    • Journal of the Korean Society for information Management
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    • v.24 no.4
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    • pp.285-303
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    • 2007
  • This study aims to explore a new technique making complementary linkage between controlled vocabularies and uncontrolled vocabularies for analyzing a research domain. Co-word analysis can be largely divided into two based on the types of vocabulary used: controlled and uncontrolled. In the case of using controlled vocabulary, data sparseness and indexer effect are inherent drawbacks. On the other case, word selection by the author's perspective and word ambiguity. To complement each other, we suggest a descriptor profiling that represents descriptors(controlled vocabulary) as the co-occurrence with words from the text(uncontrolled vocabulary). Applying the profiling to the domain of information science implies that this method can complement each other by reducing the inherent shortcoming of the controlled and uncontrolled vocabulary.

Comparison of Performance on Superordinate Word Tasks in Elderly and Young Adults (노년층과 청년층의 상위범주어 과제 수행력 비교)

  • Kim, Hyung Moo;Yoon, Ji Hye
    • 재활복지
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    • v.20 no.4
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    • pp.229-246
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    • 2016
  • The aim of this study is to conduct superordinate word selection task to compare their performance and reaction time, and superordinate word writing task to compare the differences in their performance and error pattern in 40 elderly adults and 43 young adults. As a result, first, in both tasks, elderly adults had a smaller number of correct responses. Second, elderly adults showed slower reaction time than young adults. Third, in superordinate word writing task, elderly adults showed more relevant errors than irrelevant errors. The reason elderly adults had a smaller number of correct responses in both tasks was that the links among the pieces of information in the semantic lexicon weakened or deteriorated due to normal aging. Slower reaction time was based on neurophysiological changes of the brain and cognitive processing speed. In addition, the relevant errors showed that they could access the lexicon for target words and produce explanation the relevant characteristics, even though they could not retrieve the target words.

A Study on the Word Selection for Intelligibility Assessment of Synthesized Speech by Rule (규칙 합성음성의 이해성 평가를 위한 단어표 구성에 관한 연구)

  • 홍진우;김순협;강성훈
    • The Journal of the Acoustical Society of Korea
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    • v.9 no.6
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    • pp.22-28
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    • 1990
  • 최근에 음성합성 기술이 발전됨에 따라 이러한 기술을 이용한 새로운 통신 서비스가 등장하고 있으며 그 표준 설정에 있어서 음성 품질은 아주 중요한 요인이 된다. 따라서, 시스템 알고리즘의 진단 적 평가 및 평가치의 상호 비교를 위해 품질 평가방법을 개발하는 것은 매우 중요하다. 본 논문에서는 규칙 합성음성의 이해성 평가를 위한 기본적 사항들과 개념을 기술하고 ,이해성 평가에 사용되는 단어 표를 구성하는 방법과 단어표를 제안하였다.

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