• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2009.01a
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• pp.520-524
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• 2009

In compressed color images, colors are usually represented by luminance and chrominance (YCbCr) components. Considering characteristics of human vision system, chrominance (CbCr) components are generally represented more coarsely than luminance component. Aiming at possible recovery of chrominance components, we propose a model-based chrominance estimation algorithm where color images are modeled by a Markov random field (MRF). A simple MRF model is here used whose local conditional probability density function (pdf) for a color vector of a pixel is a Gaussian pdf depending on color vectors of its neighboring pixels. Chrominance components of a pixel are estimated by maximizing the conditional pdf given its luminance component and its neighboring color vectors. Experimental results show that the proposed chrominance estimation algorithm is effective for quality improvement of compressed color images such as JPEG and JPEG2000.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.46 no.3
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• pp.7-14
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• 2023

Recently, the importance of impact-based forecasting has increased along with the socio-economic impact of severe weather have emerged. As news articles contain unconstructed information closely related to the people's life, this study developed and evaluated a binary classification algorithm about snowfall damage information by using media articles text mining. We collected news articles during 2009 to 2021 which containing 'heavy snow' in its body context and labelled whether each article correspond to specific damage fields such as car accident. To develop a classifier, we proposed a probability-based classifier based on the ratio of the two conditional probabilities, which is defined as I/O Ratio in this study. During the construction process, we also adopted the n-gram approach to consider contextual meaning of each keyword. The accuracy of the classifier was 75%, supporting the possibility of application of news big data to the impact-based forecasting. We expect the performance of the classifier will be improve in the further research as the various training data is accumulated. The result of this study can be readily expanded by applying the same methodology to other disasters in the future. Furthermore, the result of this study can reduce social and economic damage of high impact weather by supporting the establishment of an integrated meteorological decision support system.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.41 no.11
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• pp.1456-1462
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• 2016

In this paper, we apply a chord progression learning model to a rule-based generation of a four-part chorus. The proposed system is given a 32-note melody line and completes the four-part chorus based on the rule of harmonics, predicting the chord progression with the CRBM model. The data for the training model was collected from various harmony textbooks, and chord progressions were extracted with key-independent features so as to utilize the given data effectively. It was shown that the output piece obtained with the proposed learning model had a more natural progression than the piece that used only the rule-based approach.

• Journal of Broadcast Engineering
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• v.15 no.2
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• pp.192-204
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• 2010

As illegal distribution of the terrestial DTV broadcast program occurs very frequently in on-line, the needs to protect broadcast program have increased. In this paper, a new approach to implement a system for terrestial DTV broadcast program protection based on program protection information(PPI) is proposed. In our approach, the broadcast program is recorded with encryption according to redistribution condition of the PPI and packaged into a file with key information and PPI together. And we also define a set of domain protocol for supporting user fair-use of broadcast program. In the proposed system, copy control can also be provided by process of home domain management. Implementation results show that our system can protect broadcast programs with efficiency and can support conditional distribution within home domain in order to satisfy user fair-use.

• Journal of Korea Multimedia Society
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• v.20 no.8
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• pp.1208-1215
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• 2017

Recently, people's attention and worries about fine particulate matter have been increasing. Due to the construction and maintenance costs, there are insufficient air quality monitoring stations. As a result, people have limited information about the concentration of fine particulate matter, depending on the location. Studies have been undertaken to estimate the fine particle concentrations in areas without a measurement station. Yet there are limitations in that the estimate cannot take account of other factors that affect the concentration of fine particle. In order to solve these problems, we propose a framework for estimating the concentration of fine particulate matter of a specific area using meteorological data and traffic data. Since there are more grids without a monitor station than grids with a monitor station, we used a domain adversarial neural network based on the domain adaptation method. The features extracted from meteorological data and traffic data are learned in the network, and the air quality index of the corresponding area is then predicted by the generated model. Experimental results demonstrate that the proposed method performs better as the number of source data increases than the method using conditional random fields.

• Asian Journal for Public Opinion Research
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• v.1 no.2
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• pp.90-102
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• 2014

By integrating useful insights from social cognitive theory and social capital theory, we aim to develop a model for better understanding people's behaviors related to the use of social networking sites (SNSs) and formalize the role of social capital in individuals' continuous SNS use. Propositions that emphasize the triadic interactive relationships among environmental, personal, and behavioral factors were highlighted in this study. After reviewing previous studies, in this paper we proposed the following: (1) the causation between SNS use and individuals' perceived social capital might be mutual; social capital may not only be the result of media selectivity, but could also be an essential stimulus initiating the start of using SNSs; (2) the influences of SNSs use on the generation of individuals' online social capital might be conditional upon particular patterns of use; (3) both the level of dependence on SNSs and the differentiated patterns of SNSs use vary according to individuals' perceived offline social capital and their personal characteristics, for instance, personality or self-construal, and social anxiety.

• Smart Media Journal
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• v.12 no.5
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• pp.102-110
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• 2023

In the regular evaluation of engineering education accreditation, there should be almost no deficiencies in the program educational objectives, but they are occurring frequently. From the regular evaluation in 2021, the second deficiency is judged as conditional certification. This paper presents an example of the application of the program education goal adequacy review system considering changes in the social environment with a relatively low understanding of educational goal setting while preparing for the engineering education certification system and certification evaluation. In addition, application cases are presented focusing on the certification criteria, engineering education certification judgment guide, and self-study report form for the linkage application between detailed certification criteria in revising and improving educational goals.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2015.07a
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• pp.491-493
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• 2015

조건부 대체 알고리듬은 양안식 3DTV의 기준/부가 영상을 각각 고정/이동 수신기를 통해 전송하는 방식인 융합형 3DTV의 화질을 개선시키기 위한 방법이다. 기존 조건부 대체 알고리듬은 HD급 해상도를 갖는 융합형 3DTV의 화질개선에 대한 성능을 보여 왔으나, UHD급 서비스에 대한 관심이 높아짐에 따라 UHD급 융합형 3DTV에 대한 조건부 대체 알고리듬의 성능을 확인할 필요가 있다. 본 논문에서는 UHD급 해상도를 갖는 융합형 3DTV에 조건부 대체 알고리듬을 적용하여 적절한 화질 개선이 이루어지는 지에 대한 가능성을 확인하고자 한다.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2013.11a
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• pp.196-199
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• 2013

제한수신시스템(Conditional Access System, CAS)은 사용자의 조건에 따라 방송에 대한 접근을 제어하는 시스템으로 유료 방송 시스템에서 인가된 사용자만이 해당 프로그램에 접근할 수 있도록 하는 콘텐츠 보안 기술이다. 최근에는 기존의 하드 웨어 기반 CAS가 가지는 이기종 기기간 호환성과 다른 서비스와의 연동 등의 문제를 해결하고자 CAS 모듈을 소프트웨어로 구현하여 네트워크를 통해 설치하는 교환 가능형 제한수신시스템(eXchangeable CAS, 이하 XCAS) 방식을 도입하여 활발하게 서비스를 제공하고 있다. XCAS는 기존 CableCard방식이 가지는 CAS의 보안성과 분리교환 원칙을 유지하면서도 다양한 단말에 쉽게 설치하여 서비스가 가능하다는 점에서 큰 장점을 가지고 있지만, 방송수신만을 목적으로 하는 DTV(Digtal Television)에 대해 적용하기가 어렵다는 문제점이 존재하였다. 본 논문에서는 케이블방송환경에서 DTV를 통한 유료방송서 비스 제공을 위한 DTV 인증 및 XCAS 서비스에 필요한 SM(Secure Module) 모듈을 다운로드하기 위한 기법을 제안한다.

• Proceedings of the Korean Society of Embryo Transfer Conference
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• 2006.10a
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• pp.15-15
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• 2006