• Science of Emotion and Sensibility
• /
• v.19 no.2
• /
• pp.79-88
• /
• 2016

Modern society is living in material affluence after the Industrial Revolution. Meanwhile, consumer needs, in conformity with product diversification, are also being diversified. Modern consumers, unlike those of the past, are trending towards individual consumption that satisfies emotion and values instead of simple goal-oriented consumption. A model case is that of Starbucks. Starbucks has grown into the global coffee franchise it is today through emotional marketing that sells an atmosphere that is unique to Starbucks, consisting of store decorations, store music, employee service, and charming coffee aromas that are identical in every store anywhere in the world. Because this method is marketing that stimulates human emotion, it is assigned to and appeals to human senses and sensitivity. In other words, the charm of emotion marketing is that it draws out consumer emotion, produces positive reactions towards products, and leads to consumption. The utilization of emotions for products or service differentiates brand image and is becoming a key method in reinforcing brand royalty. In particular, more importance is being placed on customer service to strongly impress consumers. Intangible service is becoming the best way to impress customers.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.10 no.11
• /
• pp.1983-1988
• /
• 2006

There are gradually built on electronic commerce and business information system for the effective and automated use of internet while the mainstream of industry moves on information. It is necessary that a company should develop a electronic approval system because the business documents have application to an electronic commerce, business information system as well Currently, electronic approval system on groupware is using the way of inserting the image of an approval signature, which is vulnerable on a security by attacks of fraudulent use of electrical signature and eavesdropping on electronic documents. In this paper, we implementation XML form generator based on DTD having business documents structure for creating a valid business XML documents. we designed electronic approval system based on secured XML which transfers encrypted documents. For the security issues of written XML business documents, it makes use of the crypto algorithm having high performance transaction by the interchange of public key between a server and a client.

• The KIPS Transactions:PartD
• /
• v.15D no.5
• /
• pp.681-690
• /
• 2008

In proteomics research, the identification of differentially expressed proteins observed under specific conditions is one of key issues. There are several ways to detect the change of a specific protein's expression level such as statistical analysis and graphical visualization. However, it is quiet difficult to handle the spot information of an individual protein manually by these methods, because there are a considerable number of proteins in a tissue sample. In this paper, using database and data mining techniques, the application plan of OLAP data cube and Discovery-driven exploration is proposed. By using data cubes, it is possible to analyze the relationship between proteins and relevant clinical information as well as analyzing the differentially expressed proteins by disease. We propose the measure and exception indicators which are suitable to analyzing protein expression level changes are proposed. In addition, we proposed the reducing method of calculating InExp in Discovery-driven exploration. We also evaluate the utility and effectiveness of the data cube and Discovery-driven exploration in the lung cancer 2-DE gel image.

• Proceedings of the KSRS Conference
• /
• 2003.11a
• /
• pp.1397-1399
• /
• 2003

When and Where, What kind of agricultural products will be produced and provided for the market? It is a commercial requirement, and also an academic questions to remote sensing technology. Crop physiology analysis and growth monitoring are important elements for precision agriculture management. Remote sensing technology supplies us more selections and available spaces in this dynamic change study by producing images of different spatial, spectral and temporal resolutions. Especially, the hyperspectral remote sensing should do play a key role in crop growth investigation at national, regional and global scales. In the past five years, Chinese academy of sciences and Japan NTT-DATA have made great efforts to establish a prototype information service system to dynamically survey the vegetable planting situation in Nagano area of Japan mainly based on remote sensing data. For such concern, a flexible and light-duty flight system and some practical data processing system and some necessary background information should be rationally made together. In addition, some studies are also important, such as quick pre-processing for hyperspectral data, Multi-temporal vegetation index analysis, hyperspectral image classification in support of GIS data, etc. In this paper, several spectral data analysis models and a designed airborne platform are provided and discussed here.

• Korean Security Journal
• /
• no.42
• /
• pp.251-276
• /
• 2015

The purpose of this article is to examine Israeli intelligence activity which had contributed to the building of Israel and of its national identity. In the late 19th, the Jews scattered around the world had shared the image of victims shaped in the history of the persecution. In this process, intelligence activity was a staple factor which established the state of Israel; political and religious community. Fighting against Arabs, Israel's intelligence agents had played key role in migrating Jews to Palestine and building their own state. In other words, Intelligence activity was the instrument of implementing political Zionism, Jewish nationalism. Even after independence in 1948, despite the opposition of Arab, Israeli intelligence agencies had persuaded the United States and the Soviet Union to recognize Israel as a member of the international society. Arab countries, nevertheless, had regarded Israel as 'a state to be disappeared', and its national identity was totally denied. However, Israel officially gained recognition for statehood through Arab-Israeli war and summit talks with Egypt. Israel finally restored the 'Promised Land' that is recorded in the Bible and established its identity of a winner. In conclusion, Israeli intelligence agency played a decisive role in founding the nation and even forming the consciousness of the people.

• The Korean Journal of Nuclear Medicine
• /
• v.21 no.2
• /
• pp.183-190
• /
• 1987

In Raynaud's phenomenon, the authors measured finger blood flow after ice water exposure by analyzing the time activity curve of radionuclide angiography on both hands. The results were as follows: 1) The digital blood flow did not decrease after ice water exposure in normal subjects. 2) In the patients with Raynaud's phenomenon, there were two groups: the one had decreased digital blood flow after cold exposure, and the other had paradoxically increased digital blood flow after cold exposure. 3) There was no difference in the digital blood flow of hand in room temperature between the normal and the patients with reduced digital blood flow after cold exposure, but the digital blood flow of the hand in room temperature was markedly reduced in the patients with paradoxically increased flow after cold exposure. 4) In the static image the difference was not significant in comparision with the dynamic study, because it represents pooling of the blood in the vein rather than flow. 5) After the treatment with nifedipine, the digital blood flow increased. In conclusion, the radionuclide angiography was useful in measuring the digital blood flow in Raynaud's phenomenon, and further studies with various drugs is expected.

• Journal of the Korean Society for Nondestructive Testing
• /
• v.24 no.4
• /
• pp.348-353
• /
• 2004

This study is aimed for the implementation of ultrasonic method to assess the reliability of turbine bearings. A modified ultrasonic immersion technique was carried out in both laboratory experiment and field application. From the laboratory results, we confirmed that the condition of interface layer between the babbitt and base metal be monitored by the C-Scan. The C-scan image by the ultrasonic immersion test can be used successfully to observe the condition of interface layer. The testing with a focused transducer provides a promising approach for estimating the extent of the damaged region and observing the interface layer effectively. The difference of the ultrasonic reflection ratio between the bonding and debonding area at the interface layer is one of the key parameters for assessing the extent of the damaged area; additionally, the reflection amplitude exhibits a favorable correlation with the overall damage level. The technique developed in this study was applied to the inspection of the turbine bearings at several power plants in Korea whereby the applicability in the field can be ascertained.

• KIPS Transactions on Software and Data Engineering
• /
• v.2 no.1
• /
• pp.27-34
• /
• 2013

Background subtraction is one of the key techniques for automatic video content analysis, especially in the tasks of visual detection and tracking of moving object. In this paper, we present a new sample-based technique for background extraction that provides background image as well as background model. To handle both high-frequency and low-frequency events at the same time, multiple interval background models are adopted. The main innovation concerns the use of a confidence factor to select the best model from the multiple interval background models. To our knowledge, it is the first time that a confidence factor is used for merging several background models in the field of background extraction. Experimental results revealed that our approach based on multiple interval sampling works well in complicated situations containing various speed moving objects with environmental changes.

• Review of Culture and Economy
• /
• v.21 no.2
• /
• pp.89-109
• /
• 2018

This paper aims to offer a conceptual framework in the context of culture-driven city branding through strategic design from a cross-disciplinary approach. The key findings identified the followings: Firstly, the phenomenon of culture-driven city brand creation and the use of design value of primary attractions. Secondly, the impact of the design contents of new media in supporting city brand creation. Lastly, the importance of image/text relationships through applying coding theory to enhance city brand communications.

• Smart Structures and Systems
• /
• v.24 no.5
• /
• pp.567-585
• /
• 2019

In the past two decades, structural health monitoring (SHM) systems have been widely installed on various civil infrastructures for the tracking of the state of their structural health and the detection of structural damage or abnormality, through long-term monitoring of environmental conditions as well as structural loadings and responses. In an SHM system, there are plenty of sensors to acquire a huge number of monitoring data, which can factually reflect the in-service condition of the target structure. In order to bridge the gap between SHM and structural maintenance and management (SMM), it is necessary to employ advanced data processing methods to convert the original multi-source heterogeneous field monitoring data into different types of specific physical indicators in order to make effective decisions regarding inspection, maintenance and management. Conventional approaches to data analysis are confronted with challenges from environmental noise, the volume of measurement data, the complexity of computation, etc., and they severely constrain the pervasive application of SHM technology. In recent years, with the rapid progress of computing hardware and image acquisition equipment, the deep learning-based data processing approach offers a new channel for excavating the massive data from an SHM system, towards autonomous, accurate and robust processing of the monitoring data. Many researchers from the SHM community have made efforts to explore the applications of deep learning-based approaches for structural damage detection and structural condition assessment. This paper gives a review on the deep learning-based SHM of civil infrastructures with the main content, including a brief summary of the history of the development of deep learning, the applications of deep learning-based data processing approaches in the SHM of many kinds of civil infrastructures, and the key challenges and future trends of the strategy of deep learning-based SHM.