• Journal of Digital Contents Society
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• v.16 no.2
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• pp.275-282
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• 2015

Since starting of terrestrial digital broadcasting in 2001, there has been discussion on introduction of multiple broadcasting services, one of advantages of digital broadcasting. In the mean time, task force on terrestrial multiple channel experimental broadcasting was formed with government organizations, broadcasting companies and household appliance companies in Oct. 2013, and terrestrial multiple channel experimental broadcasting was started between Jan. to April, 2014. Based on this experimental result, EBS started 2HD MMS experimental broadcasting first in Korea on Feb. 11, 2015. This study was carried out in consideration of operation of 2 HD channels in existing 6MHz bandwidth based on MPEG-2 codec with development of compression technology. A study on image quality optimization was carried out and applied to 2HD MMS experimental broadcasting through application experiment of variable bit rate and change according to 1080i and 720p scanning type.

• Journal of Korea Society of Digital Industry and Information Management
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• v.12 no.2
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• pp.15-24
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• 2016

GPS(Global Positioning System) location tracking is a method for taking the precise coordinates after the coordinates are obtained by a GPS receiver, and displaying them on the map. In this paper with WAVE(Wireless Access for Vehicular Environment) simulation, we show that various services such as vehicle tracking service, real-time road conditions service and logistics can go tracking service, control and operation services according to the vehicle position and the traveling direction by using the GPS position data. A vehicle tracking system using GPS is automatically able to manage multiple RCP when exchanging data between RMA and the RCP, and it provides rapid requests and responses. To verify that multiple sessions between RMA and RM, as well as multiple sessions between RMA and RCP are able to be implemented, we take RMA as a RCP application on an OBU, until the RMA is receiving data response from corresponding RM. As a result of this experiment, we show that the response speeds of single session between RMA and RM using 1, 2, 3, and 4 kbyte unit data are similar, 62.32ms, 62.65ms, 63.02ms, and 63.48ms, respectively. Likewise, those of 128 muliple sessions using 1, 2, 3, and 4 kbyte unit data are not much more time difference, 298.08ms, 302.21ms, 322.85ms, and 329.62ms, respectively.

• Journal of the Korean Institute of Telematics and Electronics S
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• v.35S no.10
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• pp.1-10
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• 1998

It is important to know phase offsets of a spreading code in the code division multiple access(CDMA) mobile communication systems because different phase offsets of the same spreading code are used to distinguish each base station. When the period of the code is not that long, the relative phase offset between the code and its shifted code can be found by comparing them, but as the period of the code increases it becomes difficult to find the phase offset. This paper describes a method to calculate the phase offset of a binary code based on the number theoretical approach. We define an accumulator function which plays a central role in this paper, and relationships between the functions are clarified. This number theoretical approach and their results show that this method is very easy for the phase offset calculation. Its application to the CDMA system and circuit realization of the phase offset calculation are also discussed.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.40 no.4
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• pp.154-163
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• 2017

Collaborative filtering, one of the most widely used techniques to build recommender systems, is based on the idea that users with similar preferences can help one another find useful items. Credit card user behavior analytics show that most customers hold three or less credit cards without duplicates. This behavior is one of the most influential factors to data sparsity. The 'cold-start' problem caused by data sparsity prevents recommender system from providing recommendation properly in the personalized credit card recommendation scenario. We propose a personalized credit card recommender system to address the cold-start problem, using multiple user profiles. The proposed system consists of a training process and an application process using five user profiles. In the training process, the five user profiles are transformed to five user networks based on the cosine similarity, and an integrated user network is derived by weighted sum of each user network. The application process selects k-nearest neighbors (users) from the integrated user network derived in the training process, and recommends three of the most frequently used credit card by the k-nearest neighbors. In order to demonstrate the performance of the proposed system, we conducted experiments with real credit card user data and calculated the F1 Values. The F1 value of the proposed system was compared with that of the existing recommendation techniques. The results show that the proposed system provides better recommendation than the existing techniques. This paper not only contributes to solving the cold start problem that may occur in the personalized credit card recommendation scenario, but also is expected for financial companies to improve customer satisfactions and increase corporate profits by providing recommendation properly.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.22 no.12
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• pp.2755-2762
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• 1997

Open Network Management Systems (NMS) are not sufficient to use in a large and complex computer network environment because many-year experiences and skills are requeired for using NMS. And also, customizing NMS means a difficult programming with API(Application programming Interface) supplied by NMs. The more intelligent NMS you want, the more difficult programming you must do. In this paper, we proposed an intelligent network management system suign a structure of multiple and distributed expert systems, so as to represent expertises and knowledges of network managers into rule format, maintain the knowledgesstructurally and perform the network managmenet intelligently. expert system for amanaging computer network should understand the management protocol, analyze messages from agents, take a proper action, and report the situations by pre-defined network operation principle and strategy. A multiple expert sytem is composed of monitor expert module, fault expert module and manager expert module which are controlled by enconded knowledges.

• Journal of the Korean Home Economics Association
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• v.50 no.6
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• pp.43-54
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• 2012

The purpose of this study was to identify the factor structure of self-efficacy, clothing behaviors, contents application of the unit 'preparing and managing clothes' and the effects of self-efficacy on clothing behavior and contents application of the unit 'preparing and managing clothes'. Questionnaires were administered to 201 girl students in middle school, living in the Daegu area. Frequency, descriptive statistics, factor analysis, reliability analysis, and multiple regression were used for data analysis. The findings are as follows. Self-efficacy was composed of five factors, namely interpersonal skills, task performance skills, anxiety, planned performance, and challenging action. Clothing behavior was composed of five factors, namely pleasure, coordinated clothes, uniform preference, learning behavior, and fashion oriented. Contents application of the unit 'preparing and managing clothes' was composed of two factors, namely usefulness of lectures in general, and usefulness of Hanbok lecture. The effects of clothing behavior and contents application of the unit 'preparing and managing clothes' on each of the self-efficacy variables, like interpersonal skills, task performance skills, anxiety, planned performance, and challenging action were explained by factors such as pleasure, coordinated clothes, uniform preference, learning behavior and fashion oriented, and usefulness of lectures in general and usefulness of Hanbok lecture.

• The Journal of the Korea Contents Association
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• v.12 no.3
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• pp.95-101
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• 2012

The advent of the multiple media representatives system make the competition in the advertising industry. In this sense, both advertising industry and academic field have interested in construction and application of public infrastructure for broadcasting advertising. More specifically, this work analyzes the value of Kodex in the smart media system. Also, this study explores a basic set of application plan of Kodex as the public infrastructure. As a result, it is necessary to build transaction system infrastructure, ads contents application infrastructure, ads promotion infrastructure, and new profit creation infrastructure in the KOBAnet and KODEX. This study, as a leading research for the application of broadcasting advertising infrastructure, aims to provide some practical implications and suggestions for further research.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.19 no.8
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• pp.1859-1866
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• 2015

This paper presents a novel makeup simulation method for powder application. We propose a color appearance model for powder coated skin that is simple but yet capable of producing realistic visual results. From the photos of several artificial skins before and after powder application, the translucency and thickness parameters are achieved by fitting the color model to the photos. Thickness patterns of powder application on actual human face skin is also extracted, and used in makeup simulations on photos of different human face to give more visually appealing results. From experiments, we found that the simulation results are quite realistic, and expect that the proposed makeup simulation can be used as a virtual coloring test in the cosmetic labs.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.10
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• pp.139-146
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• 2021

This article analyzes factors affecting the application of strategic management accounting in different enterprises in Vietnam's consumer goods industry, providing more empirical evidence on factors affecting the application of strategic management accounting. The research method used a questionnaire survey of managers at all levels, chief accountants, and accountants from 72 consumer goods enterprises in Vietnam. The survey results collected 290 questionnaires, however, due to invalid questionnaires with many blank cells, 284 questionnaires were finally selected. Quantitative research was carried out with SPSS 25 software. Research results show that 6 factors have a positive influence on the application of strategic management accounting including awareness of the business market, business strategy, technology, corporate culture, qualification of management accountants, decentralization of management, in which technology has the strongest influence on the application of strategic management accounting in consumer goods enterprises in Vietnam. The standardized Beta coefficient extracted from the multiple linear regression equation reveals that the technology factor has a high standardized Beta coefficient (0.176) compared to other factors. Based on the research results, the author has proposed recommendations to improve the ability of consumer goods businesses to successfully apply strategic management accounting techniques, thereby contributing to improving competitiveness and performance of consumer goods enterprises.

• Nuclear Engineering and Technology
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• v.55 no.2
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• pp.475-483
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• 2023

The high-flux advanced neutron application reactor (HANARO) is a multi-purpose research reactor at the Korea Atomic Energy Research Institute (KAERI). HANARO has been used in scientific and industrial research and developments. Therefore, stable operation is necessary for national science and industrial prospects. This study proposed an anomaly detection system based on deep learning, that supports the stable operation of HANARO. The proposed system collects multiple sensor data, displays system information, analyzes status, and performs anomaly detection using deep autoencoder. The system comprises communication, visualization, and anomaly-detection modules, and the prototype system is implemented on site in 2021. Finally, an analysis of the historical data and synthetic anomalies was conducted to verify the overall system; simulation results based on the historical data show that 12 cases out of 19 abnormal events can be detected in advance or on time by the deep learning AD model.