• The Journal of Information Technology
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• v.7 no.4
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• pp.89-101
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• 2004

This study, Based on the study theories of up to the present was to a consumer's shopping motive, the process of choice and the theory of a consumer's store choice by his or her preference. It investigates the components of store image referring many thesis from documents of domestic and foreign countries. The major findings of from study an as follows: First, as general characteristics of samples, the component ratio of women is much higher than that of men. As for marital status, married consumers are large in numbers, and for educational back ground, high educated young couples go shopping frequently at department stores. As for ages, consumers under the 30s take great part in, for the occupation, many are housewives and for the average income of a month, under one million won income earners are major consumers. Second, about shopping motive, married ones do it for refreshing themselves, but for singles, they do shopping for the pleasure of bargain sales. The most important reason which influences on the shopping motive is 'pleasure of bargain sales' regardless of all ages. Third, according to the analysis of shopping motive and the characteristics of 15 store images, there are noteworthy differences statistically in shopping motive, attraction and reliance on advertisement, an atmosphere of a store and the degree of crowdedness.

• International Journal of CAD/CAM
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• v.12 no.1
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• pp.38-47
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• 2012

The paper proposes a method for generating a sequence of images with smooth transition of illumination from two input images with different lighting conditions. Our relighting approach is image-based, such as the light field rendering. We store the luminances (pixel RGB values) into "lighting functions" consisting of a couple of parameters related to normal vectors. Images with different light positions are rendered by interpolating the luminances retrieved from the lighting functions. The proposed method is a promising technique for many applications requiring a scene with variety of lighting effects, such as movies, TV games, and so on.

• Journal of the Korean Society of Costume
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• v.59 no.5
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• pp.152-166
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• 2009

The purpose of this study was to propose a brand image profile by analyzing how the consumer perceived the rival brands having relative structure between corporate image, store image, and. product image. Fifty-two questions were prepared for the respondents, and 262 questionnaires were selected for analyzing. The data were analyzed by a frequency, a mean, a reliability, and a paired t-test of the SPSS 12.0. The results were as follows : 1. As influence rank of the brand image, a product image had greatest influence followed by a store image and a corporate image. 2. The factors, which were regarded as important from consumer, and satisfaction of those factors were evaluated. As a result of the analysis, the degree of satisfaction of the factors was relatively low than that of the importance. It was proved that the important factors of the brand's image and the degree of satisfaction of the factors were not the same from this study.

• Culinary science and hospitality research
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• v.23 no.2
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• pp.74-85
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• 2017

This study conducted to analyze the causal relationships among image factors (brand, store, enterprise) of family restaurants, customer satisfaction, customer trust, and revisit intention as perceived by 271 customers, who have visited a family restaurant located in Ulsan and Busan regions. Present study performed frequency analysis, factor analysis, customer trust analysis, correlation analysis, and multiple (simple) regression analysis using SPSS 18.0 statistical program. The analysis results indicated that the image of family restaurants had significant positive (+) influences on customer satisfaction, customer trust, and revisit intention, among which the biggest influential factor was found to be the store factor. Significant influence was shown for brand image followed by corporate image. In addition, customer satisfaction and customer trust had significant positive (+) influences on revisit intention. As a result of this study, store image among family restaurant images appeared as the most important element; hereupon, this study considers that it is necessary for a family restaurant to build a differentiated image to increase revisit intention by satisfying customer needs and by encouraging customers to have trust in the restaurant.

• Fashion & Textile Research Journal
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• v.21 no.4
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• pp.401-411
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• 2019

Non-contact judgment and evaluation for products are increasingly needed along with a rapid environmental change in fashion that sows urgency in the need to implement services that allows users to judge and experience a tactile sense in a fashion product without actual contact. Technological development is required to provide users with syn-aesthetic experiences that integrate the visual, tactile and the auditory. There is also a need to conduct research to increase immersion that provides users with ICT-related experiences communicated through fashion images. The study analyzed demands for haptic communication technology by Korean users in immersive VR fashion product shopping. Accordingly, it defined haptic communication through literature research, investigated immersion in the VR environment and conducted in-depth interviews for haptic communication applicable to VR shopping. Findings show that hedonic reactions by fantasy, emotion and fun function are an important motive in selecting VR shopping. VR fashion product shopping steps were divided into 4: move to store, search in store, search of product and purchase based on offline store shopping experience. It defined the haptic communication by steps and analyzed the types of the haptic feedback to be implemented. The study results provide basic data for developing haptic communication technology that can enhance e a sense of the presence and immersion experiences that can help lay a groundwork for pilot studies on the convergence of the virtual and the real.

• Korean Institute of Interior Design Journal
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• v.24 no.6
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• pp.128-136
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• 2015

This research, which has been planned to appreciate the features of continuous observation of space, has applied the procedure of acquiring continuous visual information when the act of watching takes place along the time to analyze the space characteristics through the scenes and time so that the features of attention shown in the process of acquiring visual information at the time of observing continuous scenes might be estimated. For analysis of the features of continuous observation was set up the premise that the features of observation and perception vary depending on gender, when the women shops in department stores were selected as research objects. The observation features found at the time of continuous observation of selling spaces in department stores were focused on two analysis methods in order to compare the differences and characteristics of the two. The followings are the findings. First, the area with predominant observation was found to be 87.1% in both methods. It was found that the analysis of observation features by "Analysis I" was useful for inter-sectional comparison of continuous images. Second, in case of extracting predominant sections, the ceiling or the structures which are the backgrounds rarely attracted any eyes. Depending on analysis method, there was the gap of 14.3%~25.0% between observed sections. Third, in case that the hall is curved, the eyes were found to be expanded from side to side and up and down. The review of observation numbers of predominant sections makes it possible to decide whether it should be regarded as (1) unstability or (2) expanding search, and when the images are enlarged from distant view to close-range view, the weakening vanishing point results in the increase of expanded search of surroundings. Accordingly, it was found that the characteristics of images has effects on the observation features when any space was continuously observed. Furthermore, the difference of analysis methods also was found to be likely to cause big differences in the results of analyzing observation features.

• Journal of Biomedical Engineering Research
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• v.19 no.3
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• pp.305-312
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• 1998

A small PACS based on PC is designed for CR. To receive the digital image from CR, a DICOM Interface Unit (DIU) is designed that complied with the medical image standard, DICOM V3.0. The CR images acquired through the DIU are stored in a file-server; the patient information of the images is stored in a database. To improve the performance of PC and to use it easily, multiresolution images are constructed by wavelet transform and displayed progressively. Wavelet compression method is newly adopted to store the images hierarchically to storage units. In this compression method, the image is decomposed into subclasses of image by wavelet transform, and then the subclasses of the image are vector quantized using a multiresolution codebook. The storage units for CR images were divided into the short-term storage in file-server and the harddisk in viewing station. Image processing tools supported by general PACS is implemented based on PC.

• Journal of Digital Convergence
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• v.13 no.2
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• pp.193-204
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• 2015

An array DBMS has been expected widely from scientists because it is convenient to store and analyze the data of array type. In this paper, we describe how to handle satellite remote-sensing images in the array DBMS. However, previous works in their visualization have two problems as follows. First, the images are visualized as a state of distorted by the curvature of the earth. Second, it is difficult to apply the results of visualization by pre-written queries to other analyses. Therefore, this paper proposes a three dimensional visualization method of satellite remote-sensing images, not traditional 2D visualization. Our research contents are as follows. First, we describe how to store, process, and analyze the satellite remote-sensing images in the array DBMS. Second, we propose a three-dimensional visualization method for their processed outputs. Lastly, our contributions can be summarized that we propose a method of handling satellite remote-sensing images in the array DBMS and their 3D visualization techniques. It is also expected that their use be available widely in many industrial areas.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.22 no.4
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• pp.17-22
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• 2022

With the spread of web services, data types are becoming more diversified. In addition to the form of storing data such as images, videos, and texts, the number and form of properties and metadata expressing the data are different for each data. In order to efficiently process such unstructured data, a key-value store is widely used for state-of-the-art applications. LSM-Tree (Log Structured Merge Tree) is the core data structure of various commercial key-value stores. LSM-Tree is optimized to provide high performance for small writes by recording all write and delete operations in a log manner. However, there is a problem in that the delay time and processing speed of user requests are lowered as batches of deletion operations for expired data are inserted into the LSM-Tree as special key-value data. This paper presents a Filtered LSM-Tree (FLSM-Tree) that solves the above problem by separating the deleted key from the main tree structure while maintaining all the advantages of the existing LSM-Tree. The proposed method is implemented in LevelDB, a commercial key-value store and it shows that the read performance is improved by up to 47% in performance evaluation.

• Journal of Korea Society of Industrial Information Systems
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• v.29 no.1
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• pp.77-89
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• 2024

This paper presents an unmanned store management system that can provide inventory management and theft prevention for displayed products using a small camera that can monitor the shelves of sold products in small and medium-sized stores. This system is a service solution that integrates object recognition, real-time communication, security management, access management, and mobile authentication. The proposed system uses a custom YOLOv5-x model to recognize objects on the display, measure quantities in real time, and support real-time data communication with servers through Raspberry Pie. In addition, the number of objects in the database and the object recognition results are compared to detect suspected theft situations and provide burial images at the time of theft. The proposed unmanned store solution is expected to improve the efficiency of small and medium-sized unmanned store operations and contribute to responding to theft.