• The Journal of the Korea Contents Association
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• v.14 no.1
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• pp.364-373
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• 2014

The relationship between a service provided via the information system and user satisfaction has been thought of as an important factor for the development of a new service for the information system. In this study, the twelve new key services that are applicable to national R&D report system were derived by web environment changes in step with IT technology developments in order to support the new service for the user. The twelve new key services are as follows; semantic search service for national R&D report, associated report service, RSS service, mesh-up service, topic-map service, open API service, personalized service, collective intelligence service, SNS service, unstructured data service, detailed search service, mailing service. To assess the quality attribute of the twelve new key services in the national R&D report system, a survey was performed. In conclusion, a stepwise service plan for the national R&D report system was proposed which would use the satisfaction coefficient and the results of the service classification. The following step-by-step service should be developed by in this way. The unstructured data service, personalized service, associated report service, topic-map service, open API service, and the collective intelligence service are needed to develop the first step and RSS service, mesh-up service, semantic search service for the national R&D report, mailing service, detailed search service, and SNS service are needed to develop the second step.

• Journal of the Institute of Convergence Signal Processing
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• v.25 no.2
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• pp.113-118
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• 2024

Recently, advancements in artificial intelligence and computer graphics technology have led to the emergence of various virtual humans across multiple media such as movies, advertisements, broadcasts, games, and social networking services (SNS). In particular, in the advertising marketing sector centered around virtual influencers, virtual humans have already proven to be an important promotional tool for businesses in terms of time and cost efficiency. In Korea, the virtual influencer market is in its nascent stage, and both large corporations and startups are preparing to launch new services related to virtual influencers without clear boundaries. However, due to the lack of public disclosure of the development process, they face the situation of having to incur significant expenses. To address these requirements and challenges faced by businesses, this paper implements a photogrammetry-based facial capture system for creating realistic virtual humans and explores the use of these models and their application cases. The paper also examines an optimal workflow in terms of cost and quality through MetaHuman modeling based on Unreal Engine, which simplifies the complex CG work steps from facial capture to the actual animation process. Additionally, the paper introduces cases where virtual humans have been utilized in SNS marketing, such as on Instagram, and demonstrates the performance of the proposed workflow by comparing it with traditional CG work through an Unreal Engine-based workflow.

• Journal of Korean Society for Quality Management
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• v.50 no.3
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• pp.459-471
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• 2022

Purpose: The purpose of this study was to increase prediction accuracy for an anomaly interval identified using an artificial intelligence-based time series anomaly detection technique by establishing a pre-processing process. Methods: Significant variables were extracted by applying feature selection techniques, and anomalies were derived using the TadGAN time series anomaly detection algorithm. After applying machine learning and deep learning methodologies using normal section data (excluding anomaly sections), the explanatory power of the anomaly sections was demonstrated through performance comparison. Results: The results of the machine learning methodology, the performance was the best when SHAP and TadGAN were applied, and the results in the deep learning, the performance was excellent when Chi-square Test and TadGAN were applied. Comparing each performance with the papers applied with a Conventional methodology using the same data, it can be seen that the performance of the MLR was significantly improved to 15%, Random Forest to 24%, XGBoost to 30%, Lasso Regression to 73%, LSTM to 17% and GRU to 19%. Conclusion: Based on the proposed process, when detecting unsupervised learning anomalies of data that are not actually labeled in various fields such as cyber security, financial sector, behavior pattern field, SNS. It is expected to prove the accuracy and explanation of the anomaly detection section and improve the performance of the model.

• Journal of the East Asian Society of Dietary Life
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• v.27 no.4
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• pp.473-476
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• 2017

Social network service (SNS) plays an important role in food service industry consumers SNS restaurants, and other consumers review the reputations. It was assumed that bad reputation could have poor food hygiene. Therefore, this study evaluated the relation between reputations SNS and food hygiene. Restaurants were searched using web portals and 12 restaurants (six for good and six for bad reputation) were selected. Microbiological analysis (total aerobic bacteria, coliform, and Escherichia coli) for main and side dish was performed. Detection frequencies for total aerobic bacteria were not different between good and bad restaurants. However, bad restaurants had higher detection frequencies (70.8%) with mean of 3.2 log CFU/g for coliform than good restaurants (62.5%; mean of 2.3 log CFU/g). In addition, bad restaurants had higher detection frequencies (25%) of E. coli with mean of 0.8 log CFU/g than good restaurants (8.3%; mean of 0.5 log CFU/g). This result indicates that consumer reputations SNS are related to food hygiene, and the reputation data can be used for food hygiene inspection by food safety agencies.

• Proceedings of the Korean Information Science Society Conference
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• 2012.06b
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• pp.291-293
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• 2012

SNS, 블로그의 이용이 늘어나면서, 문서의 복제와 재생산이 빈번하게 발생함에 따라 대용량 문서에서의 유사중복문서 검출이 큰 이슈로 제기되고 있다. 본 논문에서는 한국어 문서를 대상으로 이러한 문제를 해결하기 위해 품질을 유지하면서 신속하게 문서집합 중 유사중복문서를 검출하는 방법에 대해 제안한다. 제안하는 알고리즘에서는 문서를 대표하는 고빈도 Unigram Token을 활용하여 문서를 군집화함으로써 비교 대상을 최소화 하였다. 실험결과, 76만 문서에서 기존 방법 대비 평균 0.88의 Recall을 유지하면서도 중복을 검출하는데 있어서 십수초내에 처리가 가능함을 보였다. 향후 대용량 검색시스템 및 대용량 이미지, 동영상 유사중복 검출에도 활용할 수 있을 것으로 기대한다.

• Journal of Korean Society for Quality Management
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• v.44 no.4
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• pp.883-895
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• 2016

Purpose: The demand for ordinary mail services supplied by 'Korea POST' is decreasing due to the opening of mail service market and the growth of alternative communication media such as e-mail and SNS. To overcome this situation it is urgent to introduce new services that can be able to appeal customers and to improve existing services. Methods: A field survey is conducted to corporate customers who send ordinary mails and individual customers who receive these mails, respectively. Quality attributes of ordinary mail services are classified by two-dimensional perspectives in terms of Kano model. Decision tree model is utilized for classifying the quality attributes. Comparative analyses are done whether there are perceived differences on each quality attributes between corporate customers and individual customers. Results: Quality attributes such as 'discount postal charges', 'sending small packages by simply dropping it into a mail box', 'sending a mail of any appearance', 'delivering a mail anywhere', and 'receiving a mail at a preferred time where a customer is located ' are classified differently according to some market segments, while most of the quality attributes are classified as attractive or one-dimensional. Conclusion: Decision tree model has been found to be most effective to classify quality attributes for each market segment especially when trying to classify quality attributes belonging to 'gray areas'. Based on the perceived differences on quality attributes among customers, strategic implications are suggested to obtain potential customers and to have competitive advantages.

• Culinary science and hospitality research
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• v.22 no.4
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• pp.319-332
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• 2016

The purpose of this study is to suggest management strategies for both upscale hotel buffet restaurants and independent buffet restaurants by conducting an IPA(Important-Performance/satisfaction Analysis) on the selection attributes for buffet type restaurants. Additionally, the effects of the selection attributes' satisfaction on the "intention to recommend" was tested. Surveys were conducted from April 15th through May 4th, 2016 by using both SNS and off-line surveys of consumers with buffet restaurants dining experiences within the previous year, of which a total number of 160 questionnaires were used for the statistical analysis. The result showed a few different selection attributes in each quadrant; additionally, food quality and menu had positive effects on the "intention to recommend" for hotel buffet restaurants, while food quality was the only selection attribute with positive effects for independent buffet restaurants. Based on the results of the study, it can be suggested for the hotel buffet restaurants to constantly develop new and unique menu items to lead the needs of the fast changing consumers of today instead of focusing on the premium characteristics of upscale hotels and their brand names. In addition, offering a variety desserts seems to be something to re-consider for both types of buffet restaurants.

• Journal of Service Research and Studies
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• v.14 no.3
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• pp.46-59
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• 2024

The purpose of this study is to understand how the image of a tourist destination perceived by potential tourists, who indirectly experience negative incidents through social media, affects their behavioral intentions. Based on the Theory of Planned Behavior, the relationship between image and behavioral intention is explained through attitudes toward the destination, subjective norms, and perceived behavioral control. Furthermore, the study analyzes whether the quality of the relationship with the tourist destination perceived by potential tourists moderates the relationship between the image of the destination and attitudes toward it when exposed to negative incidents. A scenario-based survey was conducted with 256 potential Chinese tourists. The results showed that the overall image of the destination had a positive effect (+) on attitudes toward the destination, subjective norms, and perceived control. In turn, attitudes toward the destination, subjective norms, and perceived control all positively (+) influenced behavioral intentions. Lastly, the moderating effect of relationship quality between overall image and attitudes toward the destination was verified. The implications of this study suggest that when negative incidents occur at a tourist destination, negative images can be perceived. Therefore, local governments should ensure thorough inspections and enforcement regarding pricing, services, and illegal operations to prevent such occurrences. Additionally, destination marketers should strive to enhance marketing management and promotion efforts, particularly working to establish positive relationship quality with tourists who have previously visited the destination.

• Proceedings of the Korea Society for Industrial Systems Conference
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• 2008.10b
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• pp.218-234
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• 2008

중국은 2008년 현재 메신저 이용자 수와 블로그 등의 웹 2.0 이용자 수에 있어서 세계 1위이다. 그리고 중국의 2007년 850억 달러의 인터넷 디지털 시장은 2015년에 2640억 달러로 성장할 전망이다. 이와 같이 인터넷 시장의 규모와 성장 가능성으로 인해 중국 인터넷 비즈니스의 중요성이 높아지고 있다. 이러한 필요성에 따라서 본 연구에서는 중국의 인터넷 동향 중에서 가장 큰 주목을 끌고 있는 웹 2.0 기반의 사회 연결망 서비스 분야에서 다음 세 가지의 연구 질문을 설정하고 그 답을 찾아보았다. 첫째, 중국 사회 연결망 서비스의 주요 특징은 무엇인가? 이러한 질문에 답하기 위해 본 연구에서는 문헌연구를 바탕으로 중국의 대표적인 사회 연결망 서비스 업체로 Tencent QQ와 Sina Poco를 살펴보았고, 중국 사회 연결망 서비스 이용자의 가입 이유, 갱신 이유, 주요 내용, 유상 서비스에 대한 태도 등을 살펴보았으며, 중국 인터넷 사용자의 집단별 특징에 대해 살펴보았다. 둘째, 중국 사회 연결망 서비스의 이용에 영향을 미치는 주요 요인들은 무엇인가? 이러한 질문에 답하기 위해 동기부여이론, TAM 이론. 관련 선행연구 등을 검토하여 중국 사회 연결망 서비스의 이용에 영향을 미치는 요인들로서 사용자 참여, 사회적 영향, 네트워크 효과, 유용성, 시스템 품질 등을 도출하였고 PLS를 이용한 데이터 분석을 통해 검증하였다. 검증결과, 사회 연결망 서비스 이용에 유용성이 가장 큰 영향을 미치고, 다음으로 네트워크 효과, 사용자 참여, 시스템 품질 순으로 유의한 영향을 미치는 것으로 나타났다. 반면, 사회적 영향은 유의하지 않은 것으로 나타났다. 셋째, 중국과 한국은 어떠한 점에서 차이가 있는가? 가장 두드러진 차이는 사회적 영향에 있어서 한국은 유의 적인데 비해 중국이 유의적이지 않다는 점이다. 이는 한국과 중국 사이에 국가 문화적 차이가 존재하기 때문에 발생했다고 생각할 수도 있고, 중국이 인터넷 성장기에 있는데 비해 한국은 인터넷 성숙기에 있는 등의 기술적, 사회적, 경제적 발달 과정상의 차이에 의한 것이라고도 볼 수 있다.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.11
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• pp.730-737
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• 2018

With the increasing number of health consumers aiming for a happy quality of life, the O2O medical marketing market is activated by choosing reliable health care facilities and receiving high quality medical services based on the medical information distributed on web's blog. Because unstructured text data used on the Internet, mobile, and social networks directly or indirectly reflects authors' interests, preferences, and expectations in addition to their expertise, it is difficult to guarantee credibility of medical information. In this study, we propose a blog reading system that provides users with a higher quality medical information service by classifying medical information blogs (medical blog, ad blog) using bigdata and MLP processing. We collect and analyze many domestic medical information blogs on the Internet based on the proposed big data and machine learning technology, and develop a personalized health information recommendation system for each disease. It is expected that the user will be able to maintain his / her health condition by continuously checking his / her health problems and taking the most appropriate measures.