• Journal of Multimedia Information System
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• 제4권4호
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• pp.171-178
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• 2017

Data mashup is a web technology that combines information from multiple sources into a single web application. Mashup applications create a new horizon for new services, like environmental monitoring. Environmental monitoring is a serious tool for the state and private organizations, which are located in regions with environmental hazards and seek to gain insights to detect hazards and locate them clearly. These organizations utilize a data mashup to merge datasets from different Internet of multimedia things (IoMT) context-based services in order to leverage its data analytics performance and the accuracy of the predictions. However, mashup different datasets from multiple sources is a privacy hazard as it might reveal citizens specific behaviors in different regions. The ability to preserve privacy in mashuped datasets and at the same time provide accurate insights becomes a key success for the spread of mashup services. In this paper, we present our efforts to build a fog-based middleware for private data mashup (FMPM) to serve a centralized environmental monitoring service. The proposed middleware is equipped with concealment mechanisms to preserve the privacy of the merged datasets from multiple IoMT networks involved in the mashup application. Also, these mechanisms preserve the aggregates in the dataset to maximize the usability of information to attain accurate analytical results. We also provide a scenario for IoMT-enabled data mashup service and experimentation results.

• Journal of the Korean association of regional geographers
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• 제8권1호
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• pp.110-121
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• 2002

The aim of this study is to develop multimedia courseware which can make studying picture map interesting in a more concrete and three-dimensional situation by using multimedia materials such as graphics, animation, and moving images, which breaks from the past teaching methods for picture map. The multimedia courseware used in this research can help learners understand the concept on picture map in a much easier way, and study wherever and whenever they want to. In addition, students can pass through the levels up according to their levels through the process of students' constructing the knowledge by themselves and individualized materials which can enhance their desire to learn and make the individualized learning possible.

• Journal of Korea Society of Industrial Information Systems
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• 제24권6호
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• pp.11-24
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• 2019

The tendency of buyers of web information is changing from the cost-effectiveness to the cost-satisfaction. There is such tendency in the recommendation of multimedia contents, some of which are folksonomy-based recommendation services using mood. However, there is a problem that they does not consider synonyms. In order to solve this problem, some studies have solved the problem by defining 12 moods of Thayer model as AV values (Arousal and Valence), but the recommendation performance is lower than that of a keyword-based method at the recall level 0.1. In this paper, we propose a method based on using mood vector of multimedia contents. The method can solve the synonym problem while maintaining the same performance as the keyword-based method even at the recall level 0.1. Also, for performance analysis, we compare the proposed method with an existing method based on AV value and a keyword-based method. The result shows that the proposed method outperform the existing methods.

• KIPS Transactions on Software and Data Engineering
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• 제3권2호
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• pp.101-108
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• 2014

As browsing and sharing multimedia contents through various social network services have become very common these days. there has been a rising demand for effectively provide appropriate multimedia contents to users depending on their interest and characteristics. Especially, considering the enormous volume of multimedia contents created daily, user satisfaction heavily depends on effective selection of appropriate multimedia contents. For instance, if the acquisition of contents is based on friends or related people, then it is usually considered to be more trustworthy. Facebook page is one of the social spaces where people can obtain various information of interest. Still, users have difficulty in finding proper information because Facebook generates tremendous amount of data daily. In this paper, we proposed a scheme to extract and select Facebook page contents effectively. In our proposed scheme, users are grouped based on mutual intimacy and Facebook pages of interest are selected based on the ranking of importance. We show the performance of our scheme through experiments.

• Journal of Korea Multimedia Society
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• 제16권6호
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• pp.667-677
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• 2013

With the huge success of Social Network Services, studies on social network analysis to extract the current issues or to track the symptoms of epidemic disease are being carried out actively. On Twitter, tweets reflect people's reaction to an event and users' individual status well, so it is possible to detect an event regarding a tweet as a sensory value. Recently, social signals are used to detect the spread of illness like the flu as well as the occurrence of disaster event like an earthquake in early stages. In this paper, we set up a cold as a target event and regarded tweets as Cold Signals. To evaluate the reliability of Cold Signals, we analyzed correlations between weather factors and the cold index provided by Korea Meteorological Administration.

• Journal of Korea Multimedia Society
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• 제12권1호
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• pp.139-146
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• 2009

This paper deals with visualization that can appropriately show the characteristics deduced from relationships between pieces of information. The visualization of influence, which is used as an important index in deducing the characteristics of relationships in social network analysis, was selected as research topic, and first, the elements that show relationships within the network and the index that show influence were classified and organized. Second, the links between relational elements that show influence in social network were examined, and an influence visualization network was created. Third, an influence visualization framework was proposed which explains the interaction between social network analysis and visualization process. The influence visualization network and framework being proposed in this paper can be used not only to understand and analyze the elements that influence social network but also to make it possible to have a rational and efficient approach to network visualization. Hopefully, they will become a new methodological approach to information design.

• International Journal of Internet, Broadcasting and Communication
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• 제12권4호
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• pp.33-41
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• 2020

Nowadays, distributed mobility management (DMM) approaches have been widely adopted to address the limitations of centralized architectural methods to support seamless data transmission schemes in wireless sensor networks. This paper deals with the end-to-end (E2E) integration of Network Mobility (NEMO) basic support protocol in distributed wireless sensor network systems in structural health and environmental monitoring of social overhead capital (SOC) public infrastructures such as bridges, national highways, tunnels, and railroads. The proposed scheme takes advantage of the features of both the NEMO basic support protocol and partially distributed network-based DMM framework in providing seamless data transmission and robust mobility support. The E2E seamless data transmission scheme allows mobile users to roam from fixed-point network access locations and mobile platforms (i.e., vehicles such as cars, buses, and trains) without disconnecting its current sessions (i.e., seamless handover).

• Proceedings of the Korea Multimedia Society Conference
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• 한국멀티미디어학회 2012년도 춘계학술발표대회논문집
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• pp.221-223
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• 2012

최근, 참여, 공유, 개방의 키워드를 가지고 웹 2.0 시대가 열렸다. 이러한 웹 2.0 시대의 키워드가 익숙해지기도 전에, 우리는 소통, 융합, 개인화라는 키워드를 지닌, 웹 3.0 시대를 맞이하게 되었다. 새로운 개념과 용어들은 이미 우리에게 혁명적 수준으로 주어질 뿐만 아니라, 이 시대를 살아가기 위한 기본 양식으로 자리매김하게 되었다. 본 논문에서는 최근 소셜 네트워크 서비스(SNS)의 대표주자인 트위터 영향력 모델과 소통을 중요시하는 스타벅스 네트워크 영향력 모델을 소개하고, 이와 대비되는 새로운 영향력 표현 모델을 제안하고자 한다.

• Journal of Korea Multimedia Society
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• 제23권12호
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• pp.1507-1518
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• 2020

Recently, as the proportion of the elderly population in Korea has increased rapidly, it has entered an aging society. As the scope of social activities of the elderly increases, the risk of safety accidents is also increasing. The traffic accident rate of elderly pedestrians is higher than ordinary people. Although various smart devices for the elderly are researched and developed, electronic components are often used. Electronic devices may not be able to be used if charging is not regularly. In this paper, a smart hat, a smart system for the elderly and the weak, was implemented using solar panels. The system uses solar energy to provide reliable use of smart devices. It is believed to be helpful not only for the elderly but also for the weak people by easy to wear the hat.

• Annual Conference of KIPS
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• 한국정보처리학회 2009년도 추계학술발표대회
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• pp.759-760
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• 2009

최근, 이질적인 형태의 멀티미디어 데이터들의 증가와 함께, 멀티미디어 콘텐츠들의 저장 및 검색의 중요성이 대두되고 있다. 기존의 검색 엔진들은 대부분 텍스트 데이터만을 대상으로 하고 있으며, 특별한 도메인에서는 객체 지향 데이터베이스, 객체 관계 데이터베이스 등 별도의 데이터베이스를 활용하여 검색에 사용하고 있다. 본 논문에서는 다양한 멀티미디어 콘텐츠들의 저장 및 색인에 유연한 가변 속성 포스팅 구조를 제안한다. 제안하는 가변 포스팅 구조는 벡터의 개념을 사용하여 포스팅의 속성을 추가할 수 있게 하였다. 본 논문에서 제안하는 포스팅 구조는 이질적인 형태의 멀티미디어 콘텐츠들을 각 콘텐츠들의 속성에 따라 가변적으로 저장 구조를 정의하고, 이에 따라 인덱스를 구축할 수 있는 확장성 있는 방안이다.