• Korean Business Review
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• v.19 no.2
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• pp.261-274
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• 2006

Airline business operates in the 21st century within fast changing market environment and fierce competition. Management of airline companies has faced the need for vast adaptation to new trends in the growth of world economy that are cardinal changes in marketing environment due to quick development of Internet and IT, transport price competition and, as a consequence, low profit margin, diversified customer wants and needs, lack of investment needed for new aircraft equipped with the latest high tech innovations, unpredictable oil price changes, and exchange rate fluctuations. This study is aimed to evaluate the quality performance of cabin service, to analyse, further, the issues that appeared to be the most significant among customers' answers to questionnaire, to explore the relationships between these issues and customer satisfaction, to highlight the essential questions to address, and to provide some practical suggestions. The five dimensions (such as tangible, reliability, responsiveness, assurance, and empathy) were adopted to examine the relationship between the service quality and customer satisfaction of Mongolian and non-Mongolian passengers travelling by the MIAT. According to findings of analysis made with use of the SERVPERF model, it can be concluded that Mongolian travellers' satisfaction was effected by 'Tangible' and 'Responsiveness' dimensions of service quality, whereas the 'Empathy' dimension has more impact on the satisfaction of non-Mongolian.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.47 no.3
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• pp.11-21
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• 2010

To aim at improving performance and reflecting user's needs of retrieval, the number of researches has been actively conducted in recent year as the quantity of information and generation of the web pages exceedingly increase. One of alternative approaches can be a tagging system. It makes users be able to provide a representation of metadata including writings, pictures, and movies etc. called tag and be convenient in use of retrieval of internet resources. Tags similar to keywords play a critical role in maintaining target pages. However, they still needs time consuming labors to annotate tags, which sometimes are found to be a hinderance caused by overuse of tagging. In this paper, we present an automatic tagging scheme for a solution of current tagging system conveying drawbacks and inconveniences. To realize the approach, face recognition-based tagging system on SNS is proposed by building a face area detection procedure, linear-based classification and boosting algorithm. The proposed novel approach of tagging service can increase possibilities that utilized SNS more efficiently. Experimental results and performance analysis are shown as well.

• Journal of the Institute of Electronics and Information Engineers
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• v.51 no.12
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• pp.3-11
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• 2014

Multiple antennas can provide huge capacity gains when the transmitter knows the channel state information (CSI). Precoding is a technique that exploits CSI at the transmitter side. In this paper, an adaptive precoding scheme is proposed, called a hybrid multiple-input multiple-output (MIMO) precoding (HMP). HMP is a combination of linear and nonlinear precoding. The number of transmit antennas less than or equal to four is as same as the conventional antenna selection scheme. Therefore, the HMP scheme uses more than four transmit antennas. The good channel means that the channels must be selected to maximize the channel capacity among the given channels, and the rest channels are called bad channel. In HMP scheme, we use the nonlinear precoding in the good channels and the linear precoding in the bad channels. The well-known Tomlinson-Harashima precoding (THP) is considered as nonlinear precoding. The system throughput and MSE (minimum square error) are shown for the performance of HMP scheme compared to the conventional schemes which are BD (block diagonalization), antenna selection and THP.

• Journal of the Korea Convergence Society
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• v.7 no.2
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• pp.119-127
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• 2016

The aim of this study is to contribute to the idea of creative design by presenting nail art designs in which neo pop art converges with nail art techniques. For this purpose, this study analysed the artistic worlds of Jean Michel Basquiat and Takashi Murakami as representative artists of neo pop art and used examples of their art as motivation based on Internet data and relevant books. Also this study analysed the concept and expressive techniques used in nail art, and for the nail art techniques of: hand painting, see-through, etching, nail patches, 3D, and airbrushing in order to create six nail art designs using artistic works by three artists as motivation. Based on this, this study presented creative and unique nail designs with artistic works by neo pop artists as motivation. It is hoped that this study will contribute to further use of characteristic and diverse nail designs and is helpful in promoting the capability of nail artists and activate the nail art scene. It is expected that research on nail art design will be expanded and developed through convergence with diverse design areas in the future.

• Journal of The Korean Association For Science Education
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• v.31 no.6
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• pp.942-957
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• 2011

The purpose of this research was to examine the concept of elementary school teachers of combustion. The participants were selected from the elementary school teachers who had various career experiences, 6th grade science teaching experiences, and academic backgrounds on science. For the purpose of this study, 12 elementary school teachers took the concept-test formed five questions on combustion and were interviewed. The concept-test was composed with 'The definition of combustion', 'The reason that the candle was blown out when glass was closed.', 'The existence of oxygen and carbon dioxide of before and after combustion in glass', 'Combustion of iron', 'Combustion products'. And the collected data by semi-structured interviews based on responses to the concept-test. During the analysis of the data, additional interviews by phone, e-mail and Internet messenger were conducted if necessary. The answers to each question were classified into three levels: (Scientific-concept(S), Partial-concept(P), Misconcept(M)). The research results showed that all teachers had misconceptions or partial-concept of more than 50 percent of each question. Teachers who had the 6th grade science teaching experience acquired scientific concepts of the combustion more than teachers who did not have the 6th grade science teaching experience. We should develop visualization materials about the change of gases during combustion and use these materials for implementation of the scientific concept.

• Journal of the Korean Institute of Intelligent Systems
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• v.24 no.6
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• pp.640-645
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• 2014

Many people use social network services as to communicate, to share an information and to build social relationships between others on the Internet. Twitter is such a representative service, where millions of tweets are posted a day and a huge amount of data collection has been being accumulated. Social mining that extracts the meaningful information from the massive data has been intensively studied. Typically, Twitter easily can deliver and retweet the contents using the following-follower relationships. Topic modeling in tweet data is a good tool for issue tracking in social media. To overcome the restrictions of short contents in tweets, we introduce a notion of reply graph which is constructed as a graph structure of which nodes correspond to users and of which edges correspond to existence of reply and retweet messages between the users. The LDA topic model, which is a typical method of topic modeling, is ineffective for short textual data. This paper introduces a topic modeling method that uses reply graph to reduce the number of short documents and to improve the quality of mining results. The proposed model uses the LDA model as the topic modeling framework for tweet issue tracking. Some experimental results of the proposed method are presented for a collection of Twitter data of 7 days.

• Journal of Intelligence and Information Systems
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• v.18 no.3
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• pp.1-12
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• 2012

There are many trees in a roadside, parks or facilities for landscape. Although we are easily seeing a tree in around, it would be difficult to classify it and to get some information about it, such as its name, species and surroundings of the tree. To find them, you have to find the illustrated books for plants or search for them on internet. The important components of a tree are leaf, flower, bark, and so on. Generally we can classify the tree by its leaves. A leaf has the inherited features of the shape, vein, and so on. The shape is important role to decide what the tree is. And texture included in vein is also efficient feature to classify them. This paper evaluates the performance of a leaf classification system using both shape and texture features. We use Fourier descriptors for shape features, and both gray-level co-occurrence matrices and wavelets for texture features, and used combinations of such features for evaluation of images from the Flavia dataset. We compared the recognition rates and the precision-recall performances of these features. Various experiments showed that a combination of shape and texture gave better results for performance. The best came from the case of a combination of features of shape and texture with a flipped contour for a Fourier descriptor.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.35 no.1A
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• pp.33-43
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• 2010

Recently, users want to use real-time multimedia services, such as internet, VoIP, etc., using their IEEE 802.11 wireless lan mobile stations. In order to provide such services, a handoff among access points is essential to support the mobility of a node, in such an wide area. However, the legacy handoff methods of IEEE 802.11 technology are easy to lose connections. Also, the recognition of a disconnection and channel re-searching time make the major delay of the next AP to connect. In addition, because IEEE 802.11 decides the selection of an AP depending only on received signal strength, regardless of a node direction, position, etc., it cannot guarantee a stable bandwidth for communication. Therefore, in order to provide a real-time multimedia service, a node must reduce the disconnection time and needs an appropriate algorithm to support a sufficient communication bandwidth. In this paper, we suggest an algorithm which predicts a handoff point of a moving node by using GPS location information, and guarantees a high transmission bandwidth according to the signal strength and the distance. We implemented the suggested algorithm, and confirmed the superiority of our algorithm by reducing around 3.7ms of the layer-2 disconnection time, and guaranteed 24.8% of the communication bandwidth.

• Journal of Advanced Marine Engineering and Technology
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• v.39 no.4
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• pp.483-488
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• 2015

This paper implements a long-term monitoring system (LMS) for ship's engine performance analysis (SEPA) based on the web, for the purpose of the communication speed and engine maintenance. This system is composed of a simulator, monitoring module with a multi channel A/D converter, monitoring computer, network attached storage (NAS), RS485 serial and wireless internet communication system. The existing products monitor the information transmitted from pressure sensors installed in the upper parts of each of engines in the local or web computer, but have a delay in the communication speed and errors in long-term monitoring due to the large volume of sampling pressure data. To improve these problems, the monitoring computer saves the sampling pressure data received from the pressure sensors in NAS, monitors the long-term sampling data generated by the sectional down sampling method on a local computer, and transmits them to the web for long-term monitoring. Because this method has one tenth of the original sampling data, it will use memory with small capacity, save communication cost, monitor the long-term sampling data for 30 days, and as a result, make a great contribution to engine maintenance.

• Journal of Digital Convergence
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• v.11 no.1
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• pp.255-265
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• 2013

This study deals with the policy proposals focusing on the addiction for the rapidly growing social media service (SNS) and its diagnosis. Researcher intends to define the SNS addiction and develops a diagnostic measure, which is a valuable subject. The reason is why the SNS becomes more convenient with prevalence of smart phones and the SNS addiction becomes enough severe to suggest internet addiction policy. Researcher presents the subjects into three parts. Firstly, the SNS addiction variables are derived and validated. Secondly, the path model between the SNS addiction variables is verified and discussed. Thirdly, researcher proposes the diagnostic results and the group comparison. Therefore, the result of this study is that the SNS addiction can be measured by the four elements, which are the failure in stopping the use of the SNS, time tolerance, living disability, withdrawal and anxiety. Researcher verifies the sequential impact of each variable and figures out the SNS addict through the presentation of a realistic measurement for the addiction index and the determination of the level of the addiction. By the above result, the researcher proposes the public relations of the government policy for the sound usage of the SNS and the self management of user. Finally, various proposed in this study will help to prevent juvenile crime, social problems in the future.