As the smartphone market grows, the needs for its new business model are also increased. However, most previous researches on smartphone applications focused on Technology Acceptance Model(TAM) and Rogers' Diffusion of Innovation Theory so that there was lack of researches on characteristics for actual smartphone users. In this research, we divided the smartphone applications into five category functions (Call & Text/Music & Video/Information Search/Game/Social Network Service (SNS)). We analyzed characteristic differences of users who used the each application category and found that the differences were statistically significant in both demographic and smartphone usage characteristics (frequency of downloading applications, and download experience of paid applications). Additionally, the smartphone usage characteristic is closely related to the usage duration. The representative result is that the characteristics of people used Music & Video function actively were women in their 20s who downloaded applications more than three times per week, and had a download experience of paid applications. It is positive result for players in the application markets, because it means the users are willing to pay for downloading the paid applications. However, large companies already occupied most of the market share in music applications so that small and medium-sized players should develop an innovative and distinguishable business model in order to success. We believe this research result would provide significant implications for the players in planning the successful business model and developing an user-specific application product.
Journal of the Korean Society for information Management
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v.19
no.4
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pp.96-111
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2002
A lot of accumulated data of many quantity exist within a institution or an organization, but most data is remained in form of standardization as each institution or organization. There are difficulty in exchange and share of information. New concept of knowledge information resource management to overcome this disadvantage was introduced, and the digitization of knowledge information resources to share and manage accumulated data is been doing. Specially, in science technic or education scholarship it, the tendency that importing XML to process necessary data to exchange and share of knowledge information resources structurally, and limitation of back for search and indexing or reusability is happened according as expression of great many mathematics used inside electron document of these sphere is processed to nonstructural data of image or text and so on. There is interest converged in processing of mathematics that use MathML to overcome this, and we require the solution to be able to process MathML easily and efficiently on structural document. In this paper, designed and implemented of XML document editing system which easy structural process of electronic document for knowledge information resources, and create and express MathML easily on structural document without expert knowledge about MathML.
Journal of the Korea Academia-Industrial cooperation Society
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v.14
no.8
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pp.3672-3681
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2013
The purpose of this study was to analyze subculture of professional football supporters with a view of Bourdieu's Habitus theory. What sorts of mechanism were worked when supporters formed their Habitus. The methods adopted in the article was qualitative. The qualitative information on the nature of their fandom was gleaned from 'virtual participant observation' or 'interviewing' of professional football fans that participated in discussions on the internet and participant observation of professional fans. The intensity and criteria sampling method was used to select 6 supporters who had participated in the supporting activities for more than five years and played crucial roles in running their organization as officials. The textual analysis which is consisting of translation, coding, and processing was used to mean the identification and exegesis of contextualization cues that make a text meaningful to the professional football supporters. an intended audience. The findings of this study were that (1) the subculture variety of activities for players and coaching staffs were the fundamental factors when supporters formed their subculture. (2) the professional supporters became habitus through the progressively development of subcultures such as enthusiastic supporters, small meetings, and events relating to soccer players.
This paper proposes how to improve performance of the Korean document sentiment-classification system using semantic properties of the sentiment words. A sentiment word means a word with sentiment, and sentiment features are defined by a set of the sentiment words which are important lexical resource for the sentiment classification. Sentiment feature represents different sentiment intensity in general field and in specific domain. In general field, we can estimate the sentiment intensity using a snippet from a search engine, while in specific domain, training data can be used for this estimation. When the sentiment intensity of the sentiment features are estimated, it is called semantic orientation and is used to estimate the sentiment intensity of the sentences in the text documents. After estimating sentiment intensity of the sentences, we apply that to the weights of sentiment features. In this paper, we evaluate our system in three different cases such as general, domain-specific, and general/domain-specific semantic orientation using support vector machine. Our experimental results show the improved performance in all cases, and, especially in general/domain-specific semantic orientation, our proposed method performs 3.1% better than a baseline system indexed by only content words.
Purpose - This paper investigates how the market value of the firms are impacted by distribution information technology investment in Korea over time and across markets, industries and project characteristics. This is the first empirical study on the market payoffs from the RFID investment in Korea. The purpose of this study is to provide a appropriate guideline for investors and practitioners with respect to the announcement representing RFID adoption in Korea. This reaction guideline will stimulate the practitioners to monitor and evaluate the benefits and costs of the innovative RFID technology. Research design, data, and methodology - This paper employs event study methodology to analyze the payoffs from distribution information technology investment announcements over a fifteen-year period from 2003 to 2017. Event study method is based on the assumptions such as market efficiency, unanticipated RFID invest announcements and no confounding effects in the data. This study collected the information on RFID investment announcements by using a full text search engine Bigkinds provided by Korea Press Foundation over a fifteen-year period from January 2003 through December 2017. This paper selected 88 announcements representing RFID adoption by 46 firms. This paper estimated the payoffs from RFID investment announcement through events windows by using the market model of Mcwilliams and Siegel (1997) and calculated the Z-values. Using this test statistics we could infer if RFID adoption make large differences in abnormal returns across various classifications of the firms. Results - There is significant positive market returns from the announcement representing distribution information technology investment in the pre-2009 time period, the significances of payoffs disappear in the post-2009 time period. For this reason investors or practitioners can understand the importance of market entry time and the fact that the greater rewards may belong to early innovators while late imitators cannot reap such a rewards. This paper also find that there is a large differences in the payoffs from the announcement across markets, industries and project characteristics. Conclusions - Analysing the selected sample of 88 announcements representing RFID Adoption over fifteen-year period from 2003 to 2017, this study find that there is not only significant abnormal excess returns from RFID investment announcements but also there is great differences in the abnormal returns over time and across firm sizes or affiliated markets, industries, and project characteristics. This means that there are considerable values for the investors across various firm classifications. The findings of this paper provide useful implications for the practitioners to make judicious decisions whether to adopt the innovative technologies in general or not considering the various concrete circumstances in Korea.
Journal of the Korean Institute of Landscape Architecture
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v.43
no.6
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pp.138-149
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2015
In order to search for the reasonable planning directions for representing traditional landscape, this study conducted the comparative analysis of the designs on the panels and their constructions from both winners of "The Landscape Design Competitions for City Infrastructure of Minlak(2) District in Uijeongbu" and "The Design Competition for Dongtan(2) District Land Development Phase 1". The representing targets and views, the composition and placement of representing space, the design of representing facilities and landscape planting were examined based on the text, master plans, elevations and cross sections, diagrams, images, and perspective drawings proposed from the competition panels. Then, the landscape constructions were reviewed. The results are as follows: First, the types of the representing targets and views are the agricultural landscape, as the local landscape of target area, which are divided into the life space of a traditional village, the traditional water space, and the traditional culture. Second, as to the composition and placement of representing space, the traditional theme spaces are formulated considering the surrounding land use and the local cultural heritage. However, some spaces were changed to the exercise space or convenient facility spaces required in a neighborhood park. Third, in the case of the representing facilities, a round island in the square pond, a traditional pavilion and Hwagye(terraced flower bed) were made without the facilities designed creatively. Fourth, the application of traditional planting techniques was focused on planting trees in the village forest on an island in the square pond and on Hwagye. Fifth, the traditional representing work has gradually advanced with the selection of subject and experimental facility designs based on the professional references. Sixth, the choice of the realizable subject, the expertise for information analysis and the creative design of the traditional facility are required in the future.
this paper describes a baseline for an implementation of a corpus-based Korean TTS system. The conventional TTS systems using small-sized speech still generate machine-like synthetic speech. To overcome this problem we introduce the corpus-based TTS system which enables to generate natural synthetic speech without prosodic modifications. The corpus should be composed of a natural prosody of source speech and multiple instances of synthesis units. To make a phone level synthesis unit, we train a speech recognizer with the target speech, and then perform an automatic phoneme segmentation. We also detect the fine pitch period using Laryngo graph signals, which is used for prosodic feature extraction. For break strength allocation, 4 levels of break indices are decided as pause length and also attached to phones to reflect prosodic variations in phrase boundaries. To predict the break strength on texts, we utilize the statistical information of POS (Part-of-Speech) sequences. The best triphone sequences are selected by Viterbi search considering the minimization of accumulative Euclidean distance of concatenating distortion. To get high quality synthesis speech applicable to commercial purpose, we introduce a domain specific database. By adding domain specific database to general domain database, we can greatly improve the quality of synthetic speech on specific domain. From the subjective evaluation, the new Korean corpus-based TTS system shows better naturalness than the conventional demisyllable-based one.
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.
This study is exploring objective awareness of literary therapy by consideration of popular perception about literary therapy through analysis of big data. The purpose of this study is the deduction of meaning information through analysis in the viewpoint of big data at online social network service(SNS) about 'literary therapy'. Accordingly, the main way of research became content analysis of keyword linked to literary therapy by utilizing opinion mining method related to text mining. The study mainly grasped 'literary therapy' and analyzed 'bibliotherapy' comparatively. The period of study was from Oct. 10th to Nov. 10th, 2014(during 30 days), and SNS such as blog or twitter became the subject of search. Through the result of study analysis, the conclusion that the spread of literary therapeutic prospect, structural harmony of literary therapeutic field, and the solidity of perceptional axis about literary therapy are needed can be drawn. This study is worthwhile because it can investigate popular awareness about literary therapy and can suggest alternative for invigoration of literary therapy.
Objectives: Banhahoobak-tang has been used to treat plum-pit qi, chest and hypochondriac distension, moist or greasy tongue coat, and wiry slow or wiry slippery pulse. It might be used to control coughing and vomiting. We observed that Banhahoobak-tang extract (BHTe) had anti-psychological stress effect. The objective of this study was to determine the effect of BHTe on restoring the transcriptional regulation of genes related to psychological stress. Methods: After giving psychological stress to mice, BHTe was orally administered at 100 mg/kg/day for five days. After extracting whole brain tissue from the mice, the gene expression changes were determined by microarray. Transcription factor binding site (TFBS) analysis showed up- and down-regulated genes related to psychological stress were protected by BHTe and segregated according to the structure of TFBS. We performed text based Pubmed search to select significant target genes involved in psychological stress affected by BHTe. Results: 1. Serum corticosterone level was decreased in the BHTe administered group, although the psychological stress was increased. 2. The BHTe administered group had no significant change in noradrenaline content in brain tissue, but the psychological stress group had decreased level. 3. The BHTe administered group had increased time of staying at open-arm than the psychological stress group. 4. Microarray revealed that TANK and RARA genes were up-regulated genes while AES, CDC42, FOS, NCL, and PVR were down-regulated genes by psychological stress but restored by BHTe.
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