• The Journal of Society for e-Business Studies
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• v.23 no.2
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• pp.49-65
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• 2018

The purpose of the research is to identify the effects of brand evidence, brand personality and negative factors on extended brand trust and customer purchase intention in IoT (Internet of Things) service. Negative factors include scarcity marketing and privacy concern. To achieve this objective, we analyzed the 269 respondents who had used Xiaomi products at least more than once. The results of this study are as follows: First, it was found that core service, self-image congruence of brand evidence and brand personality has a positive influence on extended brand trust. But, perceived price of brand evidence is not related to extended brand trust. Secondly, Scarcity marketing influenced extended brand trust. But, Privacy concern is not related to extended brand trust. Consumers did not realize privacy because of technological innovation of IoT. Thus, the research has a different significance from antecedent research.

• Journal of the Institute of Electronics and Information Engineers
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• v.53 no.4
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• pp.20-26
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• 2016

A wireless passive sensor network is a network which, by letting RF sources supply energy to sensor nodes, is - at least theoretically - able to live an eternal life without batteries. Due to the technological immaturity, however, a wireless passive sensor network still has many difficulties; energy scarcity, non-simultaneity of energy reception and data transmission and inefficiency in data transmission occurring at sensor nodes. Considering such practical constraints, in this paper, we propose an elementary MAC scheme supporting many sensor nodes to deliver packets to a sink node. Based on a time structure in which a charging interval for charging capacitors by using received and an acting interval for communicating with a sink node are alternately repeated, the proposed MAC scheme delivers packets to a sink node according to slotted ALOHA. In general, a contention-type scheme tends to exhibit relatively low throughput. Thus, we multilaterally evaluate the throughput performance achieved by the proposed MAC scheme using a simulation method. Simulation results show that the network-wide throughput performance can be enhanced by properly setting the length of acting interval.

• The Journal of the Korea Contents Association
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• v.11 no.8
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• pp.311-320
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• 2011

This study analyzed the persuasive marketing communication strategy which applied by showhost for TV homeshopping sales. Specifically, the current study focuses on the comparative analysis of tangible goods and intangible goods sales. Four sales homeshopping TV programs were selected for analysis: two overseas travel package products, one climbing clothes product and one produce of walnut. The method of rhetorical content analysis was conducted to analyze the strategy of persuasive communication. The results shows that , , were commonly used for both tangible and intangible products sales. But , , and were heavily utilized only for intangible products sales. The result of this study can contribute to provide theoretical background for future advanced research, although it has a limitation of only analyzing four sales programs.

• The Journal of the Korea Contents Association
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• v.7 no.12
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• pp.292-302
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• 2007

Thousands of studies on predicting information and products that are suitable for customers' preference have been actively proceeding. In massive information, unnecessary information should be removed to satisfy customers' needs. This Information filtering has been proceeding with several methods such as content-based and collaborative filtering etc. These conventional filtering methods have scarcity and scalability problems. Thus, this paper proposes a recommendation system using BPN to solve them. Data obtained by survey questionnaire are used as training data of neural network. The recommendation system using neural network is expected to recommend suitable products because it creates optimal network. Finally, the prototype for recommendation system based on neural network is proposed to collect data and recommend appropriate methods through survey questionnaire. As a result, this research improved the problems of conventional information filtering.

• Journal of KIISE:Computing Practices and Letters
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• v.9 no.5
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• pp.521-529
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• 2003

In this paper we present an improved method by using demographic information for overcoming the similarity miss-calculation from the sparsity problem in collaborative filtering recommendation systems. The similarity between a pair of users is only determined by the ratings given to co-rated items, so items that have not been rated by both users are ignored. To solve this problem, we add virtual neighbor's rating using demographic information of neighbors for improving prediction accuracy. It is one kind of extentions of traditional collaborative filtering methods using the peason correlation coefficient. We used the Grouplens movie rating data in experiment and we have compared the proposed method with the collaborative filtering methods by the mean absolute error and receive operating characteristic values. The results show that the proposed method is more efficient than the collaborative filtering methods using the pearson correlation coefficient about 9% in MAE and 13% in sensitivity of ROC.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.34 no.11B
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• pp.1261-1271
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• 2009

Emergence of new mobile communication services has generated new demand for spectrum. Because spectrum is a scarce public resource, demand for spectrum would exceed supply. As the demand for spectrum grows, the spectrum management policy becomes one of the most important issues in mobile telecommunications industry. Huge license charges for spectrum usage may obstruct the growth of mobile telecommunications industry. We analyze spectrum charges by international comparison for the case of 3G mobile telecommunication spectrum assignment. There are mainly two types of methods in spectrum assignment of 3G service, one is the auction and the other is the beauty contest. This article aims to analyze factors which influence on spectrum charges and to study the characteristic of spectrum charges of some selected countries. This study suggests the multiple regression model about spectrum charges.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.31 no.10C
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• pp.1000-1010
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• 2006

This paper proposes a new architecture for DCT-based motion estimation and compensation. Previous methods do riot take sufficient advantage of the sparseness of 2-D DCT coefficients to reduce execution time. We first derive a recursion equation to perform DCT domain motion estimation more efficiently; we then use it to develop a wavefront array processor (WAP) consisting of processing elements. In addition, we show that the recursion equation enables motion predicted images with different frequency bands, for example, from the images with low frequency components to the images with low and high frequency components. The wavefront way Processor can reconfigure to different motion estimation algorithms, such as logarithmic search and three step search, without architectural modifications. These properties can be effectively used to reduce the energy required for video encoding and decoding. The proposed WAP architecture achieves a significant reduction in computational complexity and processing time. It is also shown that the motion estimation algorithm in the transform domain using SAD (Sum of Absolute Differences) matching criterion maximizes PSNR and the compression ratio for the practical video coding applications when compared to tile motion estimation algorithm in the spatial domain using either SAD or SSD.

• Proceedings of the Korean Institute of Surface Engineering Conference
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• 2014.11a
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• pp.27-28
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• 2014

투명전극이란 전기 전도도를 갖는 동시에 가시광선 영역에서 빛을 투과하는 성질을 가지는 소재이다. 일반적으로 가시광선 영역(380nm~780nm)에서 80%이상의 광 투과도를 가지며, 비저항이 $10^{-3}{\Omega}{\cdot}cm$ 이하, optical band gap 이 3.3 eV 이상인 물질을 TCO(Transparent Conducting oxide)라고 한다. 현재까지 국내의 TCO 관련 연구는 터치패널, 디스플레이, 태양전지 등 광전자분야에서 가장 널리 사용되고 있는 ITO(Sn:In2O3)에 치중되어 있으며, 관련 연구도 거의 디스플레이 맞춤형 연구개발이 주류를 이루어왔다. ITO가 전기전도성이 우수하고 동시에 가시광선 영역에서의 투과율도 80%이상으로 전기적, 광학적 특성이 우수하다는 장점을 가지고 있으나, In의 희소성으로 인한 고가격, 유독성, 접착력 문제 때문에 이를 대체하기 위해 제조원가가 ITO에 비하여 월등히 저렴하고 내화학성과 내마모성이 우수하면서도, 가시광선 영역에서의 광투과율이 80%이상으로 좋다는 $SnO_2$에 관한 연구가 활발히 진행되어 왔다. 적절한 dopant를 첨가하여 $SnO_2$자체의 높은 광학적 투과도를 유지하면서 전기전도성을 더 높일수 있고, 투명전극이 가져야 할 고온 안정성을 가지고 있으며 비독성이고 수소 플라즈마에 대한 내성이 더 클 뿐만 아니라 저온에서 성장이 가능하다. $SnO_2$의 전기 전도도를 높이기 위한 Al, In, Ga, B와 같은 3족 원소가 $SnO_2$의 n형 dopant로 널리 사용되고 있다. 그 중 Al은 반응성이 커서 박막 증착 중에 산화되기 쉬운 반면, 전기적 특성 및 광학적 특성의 향상을 이룰 수 있다. 본 연구에서는 Rf Sputtering법을 사용하여 quartz기판 위에 다층박막 형태의 투명전도막을 제작한 후, 열처리를 수행, 이에 의한 다층박막 내 계면간 상호확산 현상을 이용하여 투명 전도막의 특성변화를 관찰하였다. 박막의 구조적 특성은 XRD장비를 사용하여 분석하였으며, 전기적, 광학적 특성은 각각 표면저항기, 홀 측정 장비, 그리고 UV-VIS-NI를 사용하여 확인하였다.

• Journal of Digital Contents Society
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• v.18 no.4
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• pp.707-712
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• 2017

As the amount of data increases exponentially, the recommender system is attracting interest in various industries such as movies, books, and music, and is being studied. The recommendation system aims to propose an appropriate item to the user based on the user's past preference and click stream. Typical examples include Netflix's movie recommendation system and Amazon's book recommendation system. Previous studies can be categorized into three types: collaborative filtering, content-based recommendation, and hybrid recommendation. However, existing recommendation systems have disadvantages such as sparsity, cold start, and scalability problems. To improve these shortcomings and to develop a more accurate recommendation system, we have designed a recommendation system as a factorization machine using actual online product purchase data.

• The Journal of the Korea Contents Association
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• v.12 no.11
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• pp.368-376
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• 2012

Government has strictly regulated the concentration of the media market because the number of broadcasters was traditionally limited and they had significant influence on public. However as the media market converges with Internet's open architecture, scarcity and pervasiveness are losing their roles in justifying media regulation. This article examines market convergence and its impact on market concentration, and criticizes the current concentration regulation. The study indicates that market performance are much governed by firm's competitive actions than market structure, and that vertical integration contributes to service innovations, and that horizontal concentration makes it difficult to measure due to its even-changing market definition. Therefore, the regulation for market concentration should shift its focus from firm's market share to broadcaster's unfair acts driving market inefficiency and hurting content diversity.