• The Journal of the Korea Contents Association
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• v.14 no.2
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• pp.161-171
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• 2014

This research aims to analyze the characteristics of the channel brand components, identities in accordance with the organizational strategies of the programmes, and brand structures of the comprehensive programming channels. The channels promote themselves mobilizing a variety of channel brand components and, ecxept Channel A, JTBC, TV Chosun, and MBN coined its names which are reminiscent of their parents corporations. The organizational strategies of the programmes are related with the channel identities. TV Chosun, for instance, branded themselves as 'conservative advocate' while focusing on news programs, and Channel A also takes conservative bias strategy focusing on the news programmes, especially after the 2012 presidential election. JTBC, however, organizes drama and entertainment programmes intensively being equivalent to that of terrestrial broadcasting programmes, and MBN positioned neutral and center with the news and cultural programmes. Referring to the brand architecture, which reveals the structural system of the brand, it is argued that TV Chosun and MBN take the integrated corporate brand strategy, while JTBC tries to mix and balance the brands of the parent corporation and its own independent one. Channel A, exceptionally, doesn't take a name of its parent corporation 'Dong-A'. In conclusion, it is argued that the comprehensive programming channels utilize and take the parent corporate brand, mixed brand, and independent brand in accordance with the brand power and circumstances of their own parent corporates.

• Journal of Electrical Engineering and Technology
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• v.10 no.1
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• pp.18-29
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• 2015

State Estimation (SE) is the basis of a variety of advanced applications used in most modern power systems. An SE problem formed with enough phasor measurement units (PMUs) data is simply a linear weighted least squares problem requiring no iterations. Thus, designing a minimum-cost placement of PMUs that guarantees observability of a power system becomes a worthy challenge. This paper proposes an equivalent integer linear programming method for substation-oriented optimal PMU placement (SOOPP). The proposed method uses an exhaustive search to determine a globally optimal solution representing the best PMU placement for that particular power system. To obtain a more comprehensive model, contingencies and the limitation of the number of PMU measurement channels are considered and embodied in the model as changes to the original constraints and as additional constraints. The proposed method is examined for applicability using the IEEE 14-bus, 118-bus and 300-bus test systems. The comparison between SOOPP results and results obtained by other methods reveals the excellence of SOOPP. Furthermore, practical large-scale power systems are also successfully analyzed using SOOPP.

• The Journal of the Korea Contents Association
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• v.18 no.11
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• pp.222-235
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• 2018

This study explores the factor which effects user's viewing on online in the situation of increasing viewing via OTT. After analyzing how the amount of news coverage and viewing rate affects user's active viewing, higher the number of views, In case of groundwave programs, if number of news coverage is high, hits of view and the number of comments is also high. While viewing rate, the number of views, the number of comments are independent of each other. In case of TV channels of comprehensive programming and cable TV, there is a interaction effect of viewing rate and the amount of news coverage. This study highlights the importance of the amount of news coverage when viewers is watching video on web.

• Design Convergence Study
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• v.15 no.3
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• pp.117-131
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• 2016

The introduction of comprehensive programming channels has led to a diversity in the viewers' tastes and excessive competition between TV channels. Demand for channels on well-being is also increasing, due to the well-being and green consumption trends. This study conducted a case study on domestic and international channel branding strategies as well as an analysis on Korean channels focusing on well-being and lifestyle and found that there are no TV channels which provides comprehensive well-being information on food, clothing and housing at the moment in Korea. This study further discovered that information on such topics are currently provided in a tidbit fashion via educational or entertainment programs. Therefore, this study presented strategies for a well-being lifestyle channel brand and designed the brand mark and a station ID for the channel. This study conducted a survey targeting 50 men and women over 20 who have participated in environment-related projects for an objective verification of the channel brand strategies and design. The survey showed that the respondents were generally positive towards the necessity of the channel and of the content presented by this researcher. Some of the respondents, however, pointed out that the readability of the brand mark needs to be improved. This was reflected in the improved design and a survey comparing the two designs showed positive results. The results of this study will contribute to the launch of a well-being lifestyle channel targeting green consumers in the future.

• The Journal of the Korea Contents Association
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• v.14 no.7
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• pp.70-82
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• 2014

The competitive circumstance among domestic TV stations caused by TV channels of comprehensive programming appearance in 2011 brought the rapid growth of talk shows. The purpose of this article is to diagnose the talk shows trend from a self-disclosure perspective to consider a social aspect and communication structure in popular TV programs. 26 domestic TV talk shows from 2011 to 2014 were collected and analyzed to understand current state and grasp genres and formats. The results show that self-disclosure talk shows are increasing under the leading of terrestrial TV channels. The talk only type of talk show is superior in numbers compare to the variety type talk show includes such as game and quiz. The popular talk shows were produced inside studio mainly with fun seeking topics. Multi MCs and guests encountered many to many communication structure. The marked changes among self-disclosure talk shows to encourage participation of entertainers' family members and ordinary people are emerging and it is a noteworthy phenomenon.

• Journal of Intelligence and Information Systems
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• v.24 no.4
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• pp.33-49
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• 2018

The impact of TV Drama success on TV Rating and the channel promotion effectiveness is very high. The cultural and business impact has been also demonstrated through the Korean Wave. Therefore, the early prediction of the blockbuster success of TV Drama is very important from the strategic perspective of the media industry. Previous studies have tried to predict the audience ratings and success of drama based on various methods. However, most of the studies have made simple predictions using intuitive methods such as the main actor and time zone. These studies have limitations in predicting. In this study, we propose a model for predicting the popularity of drama by analyzing the customer's viewing pattern based on various theories. This is not only a theoretical contribution but also has a contribution from the practical point of view that can be used in actual broadcasting companies. In this study, we collected data of 280 TV mini-series dramas, broadcasted over the terrestrial channels for 10 years from 2003 to 2012. From the data, we selected the most highly ranked and the least highly ranked 45 TV drama and analyzed the viewing patterns of them by 11-step. The various assumptions and conditions for modeling are based on existing studies, or by the opinions of actual broadcasters and by data mining techniques. Then, we developed a prediction model by measuring the viewing-time distance (difference) using Euclidean and Correlation method, which is termed in our study similarity (the sum of distance). Through the similarity measure, we predicted the success of dramas from the viewer's initial viewing-time pattern distribution using 1~5 episodes. In order to confirm that the model is shaken according to the measurement method, various distance measurement methods were applied and the model was checked for its dryness. And when the model was established, we could make a more predictive model using a grid search. Furthermore, we classified the viewers who had watched TV drama more than 70% of the total airtime as the "passionate viewer" when a new drama is broadcasted. Then we compared the drama's passionate viewer percentage the most highly ranked and the least highly ranked dramas. So that we can determine the possibility of blockbuster TV mini-series. We find that the initial viewing-time pattern is the key factor for the prediction of blockbuster dramas. From our model, block-buster dramas were correctly classified with the 75.47% accuracy with the initial viewing-time pattern analysis. This paper shows high prediction rate while suggesting audience rating method different from existing ones. Currently, broadcasters rely heavily on some famous actors called so-called star systems, so they are in more severe competition than ever due to rising production costs of broadcasting programs, long-term recession, aggressive investment in comprehensive programming channels and large corporations. Everyone is in a financially difficult situation. The basic revenue model of these broadcasters is advertising, and the execution of advertising is based on audience rating as a basic index. In the drama, there is uncertainty in the drama market that it is difficult to forecast the demand due to the nature of the commodity, while the drama market has a high financial contribution in the success of various contents of the broadcasting company. Therefore, to minimize the risk of failure. Thus, by analyzing the distribution of the first-time viewing time, it can be a practical help to establish a response strategy (organization/ marketing/story change, etc.) of the related company. Also, in this paper, we found that the behavior of the audience is crucial to the success of the program. In this paper, we define TV viewing as a measure of how enthusiastically watching TV is watched. We can predict the success of the program successfully by calculating the loyalty of the customer with the hot blood. This way of calculating loyalty can also be used to calculate loyalty to various platforms. It can also be used for marketing programs such as highlights, script previews, making movies, characters, games, and other marketing projects.