• The Research Journal of the Costume Culture
• /
• v.13 no.1
• /
• pp.34-46
• /
• 2005

The purpose of this study was to research buying behavior and home fashion preferences based on housing size. The target consumers were Korean women, aged 20~40s who reside in the Seoul & Kyunggido areas. We distributed questionnaires to 650 women. However, only 600 questionnaires were used for the statistical analysis. Data analyses were conducted with SPSS program on the frequency, Chi-square test, cluster analysis, t-test and ANOVA. The results of this study are as follows: 1. The considering factors for purchasing such as brand, trends coordinating existing furnishings with new products and functionality were significantly associated with housing size. The buyers who reside in bigger size homes. over 40 pyung place higher value on brand name, trends. or coordinating existing furnishing with new products than residents in smaller units. However, women who live in smaller units place higher value on functionality when purchasing home fashion products. Considering factors such as brand, trend, and materials were also significantly associated with segmented age group; 40~49 age group considered brand, trend, and materials more than 20~29 age group. The group who are highly interested in home fashion considered design/color, rand, coordination, and functionality than the group who are low interested in home fashion. 2. Residents in over 40 pyung homes buy home fashion products at department stores, while residents in less than 39 pyung homes buy them at discounted store. 3. Respondents preferred solid colors more than patterns. However, they favored character pattern for textile bedding products for their children. 4. there is also a statistical difference in preferences for types of window treatments between large ad small housing sizes. Residents living in over 40 pyung preferred tie-back/cottage curtain, while residents living in less than 29 pyung preferred Roman shade style.

• The Journal of Information Systems
• /
• v.26 no.3
• /
• pp.295-312
• /
• 2017

Purpose Consumption behaviors of consumers have changed with the widespread use of the Internet and smart phones, and accordingly online marketing activities are becoming ever more prevalent. Yet, the domestic food-service industry has yet to offer an Omni-Channel order system that encompasses a online, offline, and mobile interface. Also, a multilingual menu ordering service for foreign tourists is not yet available. Therefore, if an order service system accessible online and offline which could provide multi-language services were implemented, the satisfaction of the service provider and domestic and foreign customers would be maximized. Design/methodology/approach By designing an electronic menu based on open an OS and providing electronic menus in offline stores, we have completed the design of a linked order system which would be available everywhere (online, offline, and mobile). The CMS was developed to integrate these three mediums and the entire operator was designed to receive basic information and statistical information about the merchants, or store operators. Also, a multilingual term dictionary containing menu information for foreign tourists was made into a database so that foreign tourists who are having difficulty in communication can use it more easily. Findings We have made it possible for customers to use the order service without distinction between online, offline, and mobile platforms, and have proved that it is a more efficient and convenient service for customers as well as operators. Nevertheless, as an initial model, the implemented system has limitations on the execution of the payment support method in the electronic menu board and in the management division of the CMS. In case of commercialization, it is necessary to make an alliance of efforts to attract initial franchises. Through further supplementation, we expect the online and offline connection-types martservice system will maximize the satisfaction of both operators and customers alike.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.16 no.7
• /
• pp.1567-1574
• /
• 2012

Since a migration method of the mobile agent is a factor that affects the overall performance of the entire distributed system, it is necessary to find efficient migration methods of the mobile agent within the sensor network and to collect and store data related to various components(server, sink and sensor node) of the sensor network, thereby providing consistent naming services. Accordingly, this paper presents design and implementation of MetaTable that is divided into MetaData where information on the sensor data server is stored and SubMetaData where various types of information on sink nodes and data on sensor nodes connected with the sink nodes is stored. Moreover, the paper also presented the implementation of forward migration of an active rule mobile agent applying the naming method based on RMI that used the meta_table and proposed the possibility of constructing efficient sensor network application environment. In this paper, for registration, release and retrieval methods suitable for new sensor network environment, we designed and implemented the naming agent by applying J2EE model based on RMI-IIOP(Internet Inter-ORB Protocol) technique.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2008.10a
• /
• pp.463-466
• /
• 2008

With the development of Information Technology in recent years, the image has been an important means to store or express information. Generally, during the process of acquiring and storing images, the images can be corrupted by noise of which typical types are Impulse(Impulse Noise) and AWGN(Addiction White Gaussian Noise). Impulse noise shows irregularly in black and white over the length and breadth of the image by sharp and sudden disturbance of the image signal. In the Impulse noise environment, SM(Standard Median) filter would be used because of its good noise removal performance and simple algorithm. However, when SM filter removes noise, it also produces error at the edge of image and causes whole image quality deterioration. In this paper, we propose a method based on modified nonlinear filter operation scheme which enhances the features of noise removal and detail image preservation when restoring image in Impulse noise environment. And, we compared it with existing methods and the performances through simulation.

• Journal of the Korean Society of Costume
• /
• v.67 no.1
• /
• pp.22-39
• /
• 2017

This study intended to empirically verify the effect of message framing, cognitive need for closure, and type of fashion products on purchasing attitude of PB fashion products in discount stores. The design consisted of three-mixed design of 2(POP(Point of Purchase)message framing: benefit message vs. loss message) ${\times}2$(cognitive need for closure: high vs. low) ${\times}2$(PB fashion product type: utilitarian vs. hedonic). Survey of this study was conducted on 330 men and women in 20~50's in Seoul and Gyeong-gi, and a total of 287 data were analyzed. Data were analyzed with SPSS 18.0 program, and three-way ANOVA, simple interaction effects and simple main effects analysis were conducted. The results of this study are as follows: First, it was identified that the framing type of POP message of discount store, cognitive need for closure, and PB fashion product type had significant effect on preference and purchase intention. Secondly, it was identified that consumers with both high and low cognitive need for closure had high preference level and purchase intention when they encountered the benefit message framing than the loss message framing. Thirdly, the benefit message framing was more effective than the loss message framing for hedonic PB fashion products in discount stores, but utilitarian PB fashion products did not get affected by the message framing. Fourthly, it was identified that groups with both high and low cognitive need for closure preferred hedonic PB fashion products. Lastly, it was verified that benefit message framing POP advertisement on a group with high cognitive need for closure was effective for Hedonic PB fashion products in discount stores, and utilitarian PB fashion products showed no difference in purchase intention according to the POP message framing type and cognitive need for closure.

• Journal of the Korean Society of Clothing and Textiles
• /
• v.25 no.5
• /
• pp.933-944
• /
• 2001

The purpose of this research was to classify service dimensions for each apparel product which was thought to be important to consumers and to examine what kind of service dimensions are assessed to be more important than others. Furthermore, whether there were significant differences in the service dimensions and importances of services dimensions were examined by apparel product type(casual, formal products). Data were collected from women who were over 20 years old that live in Seoul. A questionnaire developed based on the previous researches and data were analyzed by factor analysis, t-test, ANOVA, frequency analysis. The results of this study were as follows: First, services of salesperson were divided into six dimensions: \"focused on customers\", \"knowledge/competency\", \"courtesy\", \"appearance/image\", \"purchasing induction\", and \"concerning\". As to service dimension importance, consumers think that \"service focused on customers\" is the most important dimension of service. Second, results of examining the importance according to apparel product type showed that five of the six service dimensions in formal product sales were more important except for the \"knowledge\" related service. Last, as to demographic characteristic variables, people who were over 40 years old were likely to think \"purchasing induction\", \"appearance/image\", \"concerning\" service dimensions more important than the other ages. And it was found that consumers who spend less money on purchasing clothing in a month thought \"focused on customers\" service was more important than the other consumers. In conclusion store managers could apply these results to service education of salesperson and use on preservation and improvement of customer relationship. And according to apparel product types, the results will give some implications to various service policies.

• Journal of Korean Society of Transportation
• /
• v.28 no.1
• /
• pp.77-86
• /
• 2010

The study developed physical distribution channel choice models reflecting decision making of the firms and studied how choice decision factors influence selection of distribution channel. The distribution channel survey data in Korea was used to do empirical study. As a choice set, distribution channels were classified into two main choice channels: direct and indirect channels. In addition, indirect channels were classified into other three channels according to the type of intermediate point: distribution center, wholesale store, and agency. This study developed choice models by applying both binary and multinomial logit model with various set of factors. The results showed that the developed logit models seemingly reflect distribution channel choice behaviors. The hypothesis tests on how each factor influences choice of distribution channel were performed and discussed as well.

• Journal of Korean Society of Transportation
• /
• v.25 no.5
• /
• pp.149-160
• /
• 2007

Automobile black boxes store and provide accident and driving information. The accident and driving information can be utilized to build scientific traffic-event database and can be applied in various industries. The objective of this study is to develop a recognition system of dangerous driving through analyzing the driving characteristic patterns. In this paper, possible dangerous driving models are classified into four models on the basis of vehicle behaviors(acceleration, deceleration, rotation) and accident types from existing statistical data. Dangerous driving data have been acquired through vehicle tests using automobile black boxes. Characteristics of driving patterns have been analyzed in order to classify dangerous driving models. For the recognition of dangerous driving, this study selected critical value of each dangerous driving model and developed the recognition algorithm of dangerous driving. The study has been verified by the application of recognition algorithm of dangerous driving and vehicle tests using automobile black boxes. The presented recognition methods of dangerous driving can be used for on-line/off-line management of drivers and vehicles.

• Convergence Security Journal
• /
• v.10 no.4
• /
• pp.93-99
• /
• 2010

Smart TV, Internet content and interactive services are available, the operating system to mount the Web, App Store, you can enjoy a variety of content. Smart TV market, TV replacement cycle is long, watching for changes in the way copyright issues such as adaptation period and, unlike the case of a smart phone TV market in the short term are expected to occupy will not find, if IPTV, satellite, cable and real-time TV platform for broadcasters to adopt a smart, smart TV market could spread more quickly than expected. Long term, Google, Apple, TV gajeonsa and broadcasters to compete with various companies through the process of expanding the TV market is smart, the media are expected to dominate the market. Smart TV with the latest technology-related research and to investigate the Smart TV, Smart TV is designed based widgets. Widgets on the desktop, mobile, IPTV, etc. can be implemented in various environments and various features and types of users already are using the widget. In particular the advantages of the widget can be implemented to meet the needs of the users, because users to more efficiently and meet their desired widget. In this paper, propose Smart-TV-based Baby management widget.

• The Journal of the Korea institute of electronic communication sciences
• /
• v.13 no.1
• /
• pp.221-228
• /
• 2018

Big data is an important keyword in World's Fourth Industrial Revolution in public and private division including IoT(Internet of Things), AI(Artificial Intelligence) and Cloud system in the fields of science, technology, industry and society. Big data based on services are available in various fields such as transportation, weather, medical care, and marketing. In particular, in the field of sports, various types of bio-signals can be collected and managed by the appearance of a wearable device that can measure vital signs in training or rehabilitation for daily life rather than a hospital or a rehabilitation center. However, research on big data with vital signs from wearable devices for training and rehabilitation for baseball players have not yet been stimulated. Therefore, in this paper, we propose a system for baseball infield and outfield players, especially which can store and analyze the momentum measurement vital signals based on big data.