• MALSORI
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• v.68
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• pp.115-126
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• 2008

In this paper, we propose a vocabulary coverage improvement method for embedded continuous speech recognition (CSR) using knowledgebase. A vocabulary in CSR is normally derived from a word frequency list. Therefore, the vocabulary coverage is dependent on a corpus. In the previous research, we presented an improved way of vocabulary generation using part-of-speech (POS) tagged corpus. We analyzed all words paired with 101 among 152 POS tags and decided on a set of words which have to be included in vocabularies of any size. However, for the other 51 POS tags (e.g. nouns, verbs), the vocabulary inclusion of words paired with such POS tags are still based on word frequency counted on a corpus. In this paper, we propose a corpus independent word inclusion method for noun-, verb-, and named entity(NE)-related POS tags using knowledgebase. For noun-related POS tags, we generate synonym groups and analyze their relative importance using Google search. Then, we categorize verbs by lemma and analyze relative importance of each lemma from a pre-analyzed statistic for verbs. We determine the inclusion order of NEs through Google search. The proposed method shows better coverage for the test short message service (SMS) text corpus.

• The Journal of the Korea institute of electronic communication sciences
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• v.6 no.4
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• pp.511-516
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• 2011

Recently, the development of computing technology and experiential content for the increased interest in education and cultural facilities to target children and young people experience learning and experiential entertainment systems require a high propensity to invest and are. In this paper, for the 13.56MHz band RFID Reader and Tag RFID technology using the proposed interactive educational globe. Active tags attached to sensors attached to the globe were presented in the RFID reader, arduino and sensors in conjunction with Google Earth COM API was constructed through the physical computing educational system.

• Journal of Distribution Science
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• v.18 no.6
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• pp.25-35
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• 2020

Purpose:Travel agencies have use digital tools in order to shift the paradigm in how business is conducted. Online travel agencies provide the same services as a normal travel agency, including hotels, transportation, guided tours, reservations, and related services, but using an "online platform. Travelers planning a trip can use a lot of forms to collect information and have access to a larger amount of information, so the factors that influence the user's behavioral intention are very important. This research has the conducted to find what factors lead to the attitudes of consumers in using OTA using the UTAUT model. Research design, data and methodology: The object of this study were respondents of a google survey using convenient sample extraction method, chosen among consumers who gathered information, or purchased a product. A total of 217 of the 235 questionnaires Google survey answered were used in the final analysis, excluding insincere responses. Using PSS v.21 and AMOS v.21, frequency analysis, feasibility and reliability analysis, path analysis was performed. Results: UTAUT affects OTA use satisfaction and trust, and OTA satisfaction and trust affect behavior intention. Conclusions: Research was conducted using the UTAUT model to explore factors that affect the attitudes of users of online travel agencies (OTA).

• International Journal of Contents
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• v.14 no.3
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• pp.46-52
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• 2018

The objective of this study was to determine the status of star chart game applications in the Google play store in Korea. The share of game genres in paid and free star charts of game applications was searched. Also, the average reviewer's rating, average number of reviews, and average age rating based on the genre of paid and free star charts of game applications, and the average price of paid applications based on genre were analyzed. Hypothesis tests for the differences in average reviewer's rating, average number of reviews, average age rating according to the genre of game applications were performed. Also, hypothesis tests for the differences in average reviewer's rating, average number of reviews, average age rating between the paid and free game applications along with the hypothesis test for the differences in price according to the genre of paid game applications were performed. Lastly, hypothesis tests for the correlation between the start chart ranking and number of reviews in association with the correlation between the start chart ranking and reviewer's rating were performed. Statistically significant differences in average reviewer's rating, average number of reviews, average age rating according to the genre of game applications, and between the paid and free game applications were verified. However, the correlation between the start chart ranking and number of reviews in association with the correlation between the start chart ranking and reviewer's rating were not statistically significant.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.37B no.11
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• pp.1058-1071
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• 2012

This paper proposes policies for developing ICT ecosystems so that Korean ICT companies can have a competitive power under the changing ICT industry environment. It analyzes the changes of user characteristics, their consumption trends and ICT industry environment. It also examines problems of domestic ICT industry and overseas ICT policies. In addition, it investigates the ICT ecosystem strategies of Google and Apple based on the theory of business ecosystem. This study suggests government policies for establishing a smart ecosystem, incubating a strategic ecosystem, and maintaining a sustainable ecosystem. The findings of this study provide additional insights and guidelines for policy makers to develop effective ICT ecosystems.

• Journal of the Korean Society of Hazard Mitigation
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• v.10 no.1
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• pp.49-55
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• 2010

This study describes a development of GIS-based program called Debris Flow Analyzer for simulating the hazard extent of debris flow on the assumption that is uniform continuous, incompressible, unsteady. The Debris Flow Analyzer was designed to process debris flow numerical simulation with Finite Difference Formulation; smoothed DEM, slope, debris flow directions, extract valley, debris volume, water volume, debris flow moving speed, effective viscosity, dynamic friction coefficient. Also, it is expected that we can be improved the inform of debris flow hazard map by Google Earth.

• Spatial Information Research
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• v.18 no.1
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• pp.89-99
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• 2010

This study has been implemented a map-based festival information website with Google Map to overcome a limit that existing festival information web sites supplied location information only through text-based format. To get the newest festival information, this website uses GeoRSS function which transform rss feed offered by newspaper websites into location based information. Through this function, internet users can see festival information at a glance on the basis of a map. Through this study we confirmed the efficiency of offering location based festival information and possibility of GeoRSS function to provide the newest festival information.

• International Journal of Knowledge Content Development & Technology
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• v.8 no.3
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• pp.41-52
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• 2018

Digital Library websites plays an important role in dissemination of information of the institution and library resources. It acts as a trustworthy mirror of the institute. To evaluate the library website performance webometrics tools and indicators are required. The aim of the present research is study the webometrics of Digital Libraries of Iranian Universities of Medical Sciences on the Web to determine the amount of the visibility a website and web pages. The URL and link of 42 digital library website is obtained directly by visiting the university's website. To extract the number of indexed web pages (size), rich files have used the Google search engine Also, to extract the number of scientific resources retrieved have used the Google Scholar search engine. To calculate and obtain the number of links received have used the MOZ search engine. Generally, the results indicated that the website of Iranian digital libraries did not have a good performance in term of webometric indexes, and none of them were not rated at all indexes, only some of the websites mentioned in one or two indicators.

• Journal of Korea Society of Digital Industry and Information Management
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• v.11 no.1
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• pp.209-223
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• 2015

Google was established an online service company. Lately, Google has widened to the business area until manufacturing industry. Apple was established a computer manufacturing company. So, new business models should develop and should be innovation in order to adapt to industry environments. New business model's development and innovation are attracted on strategy to expect the high performance at companies. In particular, it is important to companies facing a variety of problems. Therefore, the purposes of this study are as follows : First, there understand the perception difference on online service company, offline service company, manufacturing company. Second, there provide for the use of strategy on online service company, offline service company, manufacturing company. The results of this study are customer factor, strategy factor, revenue factor have been statistically significant differences using ANOVA analysis in industry field, and customer factor has been statistically significant difference using t-test in business field. Then, it will expect to increase business competition through the business model.

• Journal of KIISE:Computing Practices and Letters
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• v.16 no.6
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• pp.722-726
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• 2010

The recent deployment of RIA (Rich Internet Application) is often involved with the complex JavaScript code, which leads to the announcement of high performance JavaScript engines for its efficient execution. And the Sunspider benchmark is being widely used for the performance evaluation of these JavaScript engines. In this paper, we compare the execution methods of three high-performance JavaScript engines, Mozilla TraceMonkey, Google V8, and Apple SquirrelFish Extreme, and measure their performances using the SunSpider benchmark. We also evaluate the pros and cons of each engine, based on its execution method and the code characteristics of the SunSpider benchmarks.