• Journal of Internet Computing and Services
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• v.19 no.4
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• pp.15-26
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• 2018

This study focused on the difference of the volume of sanitory pad issue and The aim of this study is to explore the relationship between the characteristics of SNS and the diffusion of issue in the process of crisis issue. SNS is categorized into communication diffusion, communication restriction,, diffusion, restriction base on the media interactivity and the user interactivity, In case of Twitter, media interactivity is low and user interactivity is low. In case of Youtube, media interactivity and user interactivity are all high. Crisiss issue is interactively diffused via Youtube compared to via Twitter. There was a negative public opinion in social media even if the government and the manufacturer said that there was no harm in the sanitary goods. In conclusion, this study highlights the importance of social media environment in the diffusion of information. The government prepared for the use of SNS in crisis because there was a negative opinion on the government and the manufacturer via SNS.

• Journal of Internet Computing and Services
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• v.24 no.2
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• pp.57-66
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• 2023

Currently, a new energy system is emerging that implements consumption reduction by improving energy efficiency. Accordingly, as smart grids spread, the rate system by timing is expanding. The rate system by timing is a rate system that applies different rates by season/hour to pay according to usage. In this study, external factors such as temperature/day/time/season are considered and the time series prediction model, LSTM, is used to predict energy power usage data. Based on this energy usage prediction model, energy usage charges are reduced by analyzing usage patterns for each device and transferring power energy from the maximum load time to the light load time. In order to analyze the usage pattern for each device, a clustering technique is used to learn and classify the usage pattern of the device by time. In summary, this study predicts usage and usage fees based on the user's power data usage, analyzes usage patterns by device, and provides customized demand transfer services based on analysis, resulting in cost reduction for users.

• Journal of Internet Computing and Services
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• v.24 no.6
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• pp.99-105
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• 2023

In the 4th industrial revolution, the field of criminal justice is paying attention to Legaltech using artificial intelligence to provide efficient legal services. This paper attempted to create a crime prediction model that can apply Recurrent Neural Network(RNN) to increase the potential for using legal technology in the domestic criminal justice field. To this end, the crime process was divided into pre, during, and post stages based on the criminal facts described in the judgment, utilizing crime script analysis techniques. In addition, at each time point, the method and evidence of crime were classified into objects, actions, and environments based on the sentence composition elements and the 8 principles of investigation. The case summary analysis framework derived from this study can contribute to establishing situational crime prevention strategies because it is easy to identify typical patterns of specific crime methods. Furthermore, the results of this study can be used as a useful reference for research on generating crime situation prediction data based on RNN models in future follow-up studies.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.23 no.5
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• pp.83-88
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• 2023

In this paper, we developed a workout and diet assistance application to meet the growing demand for workout and dietary support services due to the increase in the home training population. The application analyzes the user's workout posture in real-time through the camera and guides the correct posture using guiding lines and voice feedback. It also classifies the foods included in the captured photos, estimates the amount of each food, and calculates and provides nutritional information such as calories. Nutritional information calculations are executed on the server, which then transmits the results back to the application. Once received, this data is presented visually to the user. Additionally, workout results and nutritional information are saved and organized by date for users to review.

• Proceedings of the Korean Information Science Society Conference
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• 2005.11a
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• pp.235-237
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• 2005

인터넷 사용의 증가로 않은 사람들이 기존의 편지나 엽서를 사용하던 것을 전자 메일(e-mail)로 대체하고 있다. 전자 메일은 텍스트뿐만 아니라 그림, 음성, 동영상까지 전송이 가능하여 필요한 문서들도 첨부가 가능하여 많은 사람들에게 호응을 얻고 있지만 광고 메일이나 음란 사이트 홍보 메일로 사용되면서 많은 전자 메일 사용자들에게 정신적 피해를 주고 있으며 메일링 서비스를 하고 있는 업체들에게 큰 유해를 끼치고 있다. 본 논문에서는 사용자가 요구하지 않은 광고성 스팸 메일을 OTP(One Time Password)를 이용하여 효과적으로 차단하는 모듈을 제안, 설계한다. 기존의 차단 방식은 메일 서버에 저장된 메일들을 삭제하는 방식으로 메일 서버에 많은 과부하를 주며 메일 서버의 저장 용량을 낭비하여 사용자로 하여금 곡 필요한 메일들을 송, 수신 하지 못할 수도 있었다. 본 논문에서 제안하는 시스템은 스팸 메일로 분류된 메일들을 메일 서버 자체에 저장하지 않는 방식을 사용하여서 기존의 문제점을 해결하였다.

• The Journal of the Korea Contents Association
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• v.10 no.7
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• pp.49-54
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• 2010

In these days, Internet environment are very quickly development as well On-line service have been using a online for the mission critical business around the world. As the amount of information to be processed by computers has recently been increased there has been cluster computing systems developed by connecting workstations server using high speed networks for high availability. As a result, this study on a cluster based DBMS and common solution of DBMS venders has been studying with a wide range, as well as It is not good study a management skill for the cluster-based DBMS efficiently and optimization. accordingly, This study find out optimization managements skill and theory of he High availability solution on cluster-based DBMS.

• The KIPS Transactions:PartB
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• v.8B no.5
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• pp.501-506
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• 2001

According to the current increase of the usefulness of information by Internet and Communication network, several methods are proposed in which multimedia information may be efficiently managed and serviced. This paper proposes FBOM(Fuzzy-Based Object Manager) using $\alpha$-cut in Object manager for Fuzzy-Based Multimedia Post-Office Box construction. The proposed system utilizes object discrimination, fuzzy filtering, and class generation structure in order to manage object using Fuzzy filtering. To know how well the proposed system are able to work, this paper have tested against the methods with 1000 items of multimedia information, and our system are compared with Random-key method and FBOM method.

• The Journal of the Korea Contents Association
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• v.11 no.8
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• pp.448-458
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• 2011

The availability of many smartphone applications and ubiquitous Wi-Fi technology has greatly spread the uses of smartphones. Particularly smartphones with the locative media services in tourism are booming because location-based technology such as GPS is well suit with tourism and tourists' needs. Smartphones also overcome the technological limit of traditional information media such as printed book, newspaper, etc. Based on the Niche Theory, the study examines the competitive relationships among information media that are used in tourism including smartphones, traditional paper publications, and computers. The paper also examines the niche of each medium based on the theory and finds which medium is more effective and preferred by people who utilize the services before and during their travel.

• Proceedings of the Korea Society for Industrial Systems Conference
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• 2003.05a
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• pp.23-26
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• 2003

인터넷의 발달은 전통적인 자연 발생적인 시장에 의한 상거래를, 기술에 의한 안전하면서 세계 시장을 쉽게 접근할 수 있는 전자상거래 구조를 제공하고 있다. 현재 전자상거래의 대상은 실물에 대한 상거래와 디지털 컨텐츠에 대한 상거래로 크게 분류할 수 있으며, 실물에 대한 상거래는 전통적 상거래 방식이 컴퓨터로 바뀐 상황이라고 볼 때, 디지털컨텐츠에 대한 상거래 즉, D-Commerce에 대한 상거래의 개념이 도래하고 있다. 디지털 컨텐츠의 상거래에 필요한 요소 기술에 대한 연구, 그리고 특히 새로운 유통 비즈니스 모델에 대한 연구가 필요하다. 디지털 컨텐츠는 생성, 가공, 유통, 분배 둥의 측면에서 많은 장점을 갖는 반면, 복사를 여러 번해도 원본의 품질에 손상 없이 쉽게 복사 될 수 있다는 것이 디지털 저작권 보호에 커다란 문제점으로 대두되고 있다. 디지털 저작권권리(Digital Rights Management: DRM)은 디지털 콘텐츠의 보호와 적절한 유통체계를 설립하여 안전하게 상거래를 할 수 있게 하기 위한 새로운 기술이다. XrML은 권리(Right)를 명시하는 언어로써 디지털 컨텐츠와 그에 따른 서비스들을 사용할 수 있는 권리와 조건들을 명시해준다. XrML은 현재 디지털 저작권권리(Digital Rights Management: DRM)에 가장 많이 쓰이고 있는 Rights Language이다. XrML은 ContentGuard가 개발한 DRM 서술 언어로 전 세계 산업계 표준으로 추진하기 위하여 파트너 회사 확대, 기능 확장, 무료/공개 형식으로 보급을 추진하고 있다.

• Annual Conference on Human and Language Technology
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• 2009.10a
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• pp.165-169
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• 2009

오늘날 인터넷 검색은 하루가 다르게 발전되고 있다. 주로 키워드 매칭에 의존을 둔 지금의 검색 서비스들은 사용자 중심의 아이템들을 개발해 정보검색의 경과시간 및 결과의 분류면에서 우수함을 보여주고 있다. 질의어의 의미에 유사한 검색은 아직은 발전하는 단계로, 내용에 기반을 둔 검색 환경에 초점이 맞춰지고 있다. 이와 관련하여 행렬의 특이치 분해(SVD)를 이용한 잠재적 의미 색인 기법(LSI)을 본 연구에서 다루고자 한다. 구축한 시스템의 성능 평가는 재현도 계산으로 비교되었는데 작은 크기의 특이값(singular value)들 생략에 의한 SVD의 성능과 그것을 재이용, 질의어에 대한 의미 구조상 근접한 용어들을 찾아 질의어를 확장한 후 적합한 문서들의 검색을 사용한 특이값 개수, 유사단어 확장 개수를 달리하여 실험하였다. 실험 결과, 특이값 2개를 사용한 잠재적 의미 색인이 특이값 3개를 사용한 잠재적 의미 색인보다 보다 나은 성능을 보였다. 그리고 조건을 달리한 모든 잠재적 의미 색인의 경우 단어 매칭에 의한 적합문서 검색보다 별 뚜렷한 나은 결과는 보이지 않았다. 하지만 의미적으로 관계가 깊은 유사어들을 찾아냈고, 의미적으로 가장 관계 깊은 문서를 대부분의 경우에서 순위 1위로 찾아내는 부분적 우수함을 보였다.