• The Journal of the Korea Contents Association
• /
• v.19 no.9
• /
• pp.388-401
• /
• 2019

This study analyzes the mediation or moderation effect of the characteristics of perceived organizational support (POS) and relational culture on the ambidextrous organizational performance such as exploration and exploitation. This study empirically verified using the human capital corporate panel 548 data provided by Korea research institute for vocational education & training. The empirical results of the present study are as follows. First, it is shown that formal learning and informal learning provided to the members have a positive effect on ambidextrous organizational performance. In addition, POS showed that full and partial mediation effects of the formal learning and informal learning on ambidextrous organizational performance. Finally, relational culture have an important influence on positively moderating the relationship between informal learning and exploitative performance.

• 한국HCI학회:학술대회논문집
• /
• 2008.02a
• /
• pp.256-261
• /
• 2008

We developed an authoring tool for designing vibrotactile patterns quickly and easily by using the drag-and-drop paradigm in mobile devices. Designed vibrotactile patterns are registered into a data pool in the XML format, improving the reusability and extensibility of vibrotactile patterns. A multi-channel timeline interface is also incorporated to provide time-synchronized pattern editing for multiple vibration patterns (for multiple vibration actuators). In addition, an internal vibration player is embedded in the authoring tool in order to evaluate the patterns on the spot. A transform function for perceptually transparent vibration rendering can also be set in the editor. Although the authoring tool was developed for mobile devices, it can be used for other applications such as haptic interaction m virtual reality.

• Journal of the military operations research society of Korea
• /
• v.32 no.2
• /
• pp.40-55
• /
• 2006

The objective of this paper is to provide an introductory scheme of Supply Chain Management(SCM) for the Air Force logistics support system. To accomplish our goal, we analyzed the successful example of the military logistics reform based on SCM in the United States, after we observed the concept and concerning methods of SCM. The introductory scheme of SCM was specifically provided on the transportation system and material information system of the aircraft repair parts, which are considered important in the Air Force logistics support system. The Air Force will be able to raise the complete mission supportability through the construction of an innovative logistics support system, which is low in cost and efficient, based on state of the art information and communication technology.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.15 no.1
• /
• pp.163-168
• /
• 2011

Blogs are an easy way to publish information, engage in discussions, and form communities on the Internet. Recently, there are several varieties of spam blog whose purpose is to host ads or raise the PageRank of target sites. Our purpose is to develope the system which detects these spam blogs (splogs) automatically among blogs on Web environment. After removing HTML of blogs, they are tagged by part of speech(POS) tagger. Words and their POS tags information is used as a feature type. Among features, we select useful features with X2 statistics and train the SVM with the selected features. Our system acquired 90.5% of F1 measure with SPLOG data set.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.11 no.3
• /
• pp.1115-1125
• /
• 2010

This study is to examine how POS(perceived organization support) would affect trust in her/his superior and organization, organization commitment and customer orientation. The effect of demographic variables differences on independent and dependent variables was examined. Data for this study was collected by questionnaire from a sample of 277 employees of 9 hospitals in Korea. The findings show that POS is significantly influence trust in her/his superior and organization, organization commitment, and customer orientation. Variables like gender and type of employment have a significant difference. However there is no difference in the type of occupation.

• Journal of Korea Game Society
• /
• v.17 no.2
• /
• pp.135-144
• /
• 2017

Sentiment analysis refers to a way of analyzing the writer's subjective opinions or feelings through text. For effective sentiment analysis, it is essential to build emotional word polarity lexicon. This paper introduces a crowdsourcing-based game that we have developed for efficiently building a polarity lexicon in Korean. First, we collected a corpus from the relating Internet communities using a crawler, and we classified them into words using the Twitter POS analyzer. These POS-tagged words are provided as a form of mobile platform based tagging game in which the players voluntarily tagged the polarities of the words, and then the result was collected into the database. So far we have tagged the polarities of about 1200 words. We expect that our research can contribute to the Korean sentiment analysis research especially in the game domain by collecting more emotional word data in the future.

• Journal of Intelligence and Information Systems
• /
• v.22 no.4
• /
• pp.217-245
• /
• 2016

The purpose of this study is to verify how 7 sentiment domains extracted through sentiment analysis from social media have an influence on business performance. It consists of three phases. In phase I, we constructed the sentiment lexicon after crawling 45,447 pieces of VOC (Voice of the Customer) on 26 auto companies from the car community and extracting the POS information and built a seven-sensitive domains. In phase II, in order to retain the reliability of experimental data, we examined auto-correlation analysis and PCA. In phase III, we investigated how 7 domains impact on the market share of three major (GM, FCA, and VOLKSWAGEN) auto companies by using linear regression analysis. The findings from the auto-correlation analysis proved auto-correlation and the sequence of the sentiments, and the results from PCA reported the 7 sentiments connected with positivity, negativity and neutrality. As a result of linear regression analysis on model 1, we indentified that the sentimental factors have a significant influence on the actual market share. In particular, not only posotive and negative sentiment domains, but neutral sentiment had significantly impacted on auto market share. As we apply the availability of data to the market, and take advantage of auto-correlation of the market-related information and the sentiment, the findings will be a huge contribution to other researches on sentiment analysis as well as actual business performances in various ways.

• Annual Conference on Human and Language Technology
• /
• 2017.10a
• /
• pp.97-102
• /
• 2017

형태소 분석과 의존 파싱은 자연어 처리 분야에서 핵심적인 역할을 수행하고 있다. 이러한 핵심적인 역할을 수행하는 형태소 분석과 의존 파싱에 대해 일괄적으로 학습하는 통합 모델에 대한 필요성이 대두 되었고 이에 대한 많은 연구들이 수행되었다. 기존의 형태소 분석 & 의존 파싱 통합 모델은 먼저 형태소 분석 및 품사 태깅에 대한 학습을 수행한 후 이어서 의존 파싱 모델을 학습하는 파이프라인 방식으로 진행되었다. 이러한 방식의 학습을 두 번 연이어 진행하기 때문에 시간이 오래 걸리고 또한 형태소 분석과 파싱이 서로 영향을 주지 못하는 단점이 존재하였다. 본 논문에서는 의존 파싱에서 형태소 분석에 대한 전이 액션을 포함하도록 전이 액션을 확장하여 한국어 형태소 분석 & 의존파싱에 대한 통합모델을 제안하였고 성능 측정 결과 세종 형태소 분석 데이터 셋에서 F1 97.63%, SPMRL '14 한국어 의존 파싱 데이터 셋에서 UAS 90.48%, LAS 88.87%의 성능을 보여주어 기존의 의존 파싱 성능을 더욱 향상시켰다.

• 한국어정보학회:학술대회논문집
• /
• 2017.10a
• /
• pp.97-102
• /
• 2017

형태소 분석과 의존 파싱은 자연어 처리 분야에서 핵심적인 역할을 수행하고 있다. 이러한 핵심적인 역할을 수행하는 형태소 분석과 의존 파싱에 대해 일괄적으로 학습하는 통합 모델에 대한 필요성이 대두 되었고 이에 대한 많은 연구들이 수행되었다. 기존의 형태소 분석 & 의존 파싱 통합 모델은 먼저 형태소 분석 및 품사 태깅에 대한 학습을 수행한 후 이어서 의존 파싱 모델을 학습하는 파이프라인 방식으로 진행되었다. 이러한 방식의 학습을 두 번 연이어 진행하기 때문에 시간이 오래 걸리고 또한 형태소 분석과 파싱이 서로 영향을 주지 못하는 단점이 존재하였다. 본 논문에서는 의존 파싱에서 형태소 분석에 대한 전이 액션을 포함하도록 전이 액션을 확장하여 한국어 형태소 분석 & 의존파싱에 대한 통합모델을 제안하였고 성능 측정 결과 세종 형태소 분석 데이터 셋에서 F1 97.63%, SPMRL '14 한국어 의존 파싱 데이터 셋에서 UAS 90.48%, LAS 88.87%의 성능을 보여주어 기존의 의존 파싱 성능을 더욱 향상시켰다.

• Land and Housing Review
• /
• v.13 no.4
• /
• pp.55-71
• /
• 2022

Recently, the domestic department store industry is growing into a complex shopping cultural space, which is advanced and differentiated by changes in consumption patterns. In addition, competition is intensifying across 70 places operated by five large companies. This study investigates the determinants of the visits to department stores using the big data concept's automatic vehicle access system (pos) and proposes how to strengthen the competitiveness of the department store industry. We use a negative binomial regression test to predict the frequency of visits to 67 branches, except for three branches whose annual sales were incomplete due to the new opening in 2021. The results show that the demand for visiting department stores is positively associated with airport, terminal, and train stations, land areas, parking lots, VIP lounge numbers, luxury store ratio, F&B store numbers, non-commercial areas, and hotels. We suggest four strategies to enhance the competitiveness of domestic department stores. First, department store consumers have a high preference for luxury brands. Therefore, department stores need to form their own overseas buyer teams to discover and attract new luxury brands and attract customers who have a high demand for luxury brands. In addition, to attract consumers with high purchasing power and loyalty, it is necessary to provide more differentiated products and services for VIP customers than before. Second, it is desirable to focus on transportation hub areas such as train stations, airports, and terminals in Gyeonggi and Incheon. Third, department stores should attract tenants who can satisfy customers, given that key tenants are an important component of advanced shopping centers for department stores. Finally, the department store, a top-end shopping center, should be developed as a space with differentiated shopping, culture, dining out, and leisure services, such as "The Hyundai", which opened in 2021, to ensure future growth potential.