• International Journal of Computer Science & Network Security
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• v.22 no.2
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• pp.406-412
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• 2022

Storing large amounts of data has always been a big problem from the beginning of computing history. Big Data has made huge advancements in improving business processes by finding the customers' needs using prediction models based on web and social media search. The main purpose of big data stream processing frameworks is to allow programmers to directly query the continuous stream without dealing with the lower-level mechanisms. In other words, programmers write the code to process streams using these runtime libraries (also called Stream Processing Engines). This is achieved by taking large volumes of data and analyzing them using Big Data frameworks. Streaming platforms are an emerging technology that deals with continuous streams of data. There are several streaming platforms of Big Data freely available on the Internet. However, selecting the most appropriate one is not easy for programmers. In this paper, we present a detailed description of two of the state-of-the-art and most popular streaming frameworks: Apache Ignite and Hazelcast. In addition, the performance of these frameworks is compared using selected attributes. Different types of databases are used in common to store the data. To process the data in real-time continuously, data streaming technologies are developed. With the development of today's large-scale distributed applications handling tons of data, these databases are not viable. Consequently, Big Data is introduced to store, process, and analyze data at a fast speed and also to deal with big users and data growth day by day.

• The Korean Journal of Franchise Management
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• v.13 no.4
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• pp.13-22
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• 2022

Purpose: Brand hearsay refers to information that can be acquired from advertisement, media publicity, and word-of-mouth prior to experiencing products or services of brands. Previous information about brands obtained through brand hearsay affects consumer behavior in choosing brands. Moreover, brand hearsay is an effective communication method in promoting brands to consumers. Thus, bakery franchises need to improve strengths and differentiate characteristics of their brand, thereby attracting more consumers. Therefore, this study investigates relationships the effect of brand hearsay on consumers' brand attitude and brand loyalty in the context of franchised bakery brands. Research design, data, and methodology: A research model was proposed to examine structural relationships between brand hearsay (advertising, publicity, word-of-mouth), brand attitude, and brand loyalty. An online survey was conducted to consumers who had an experience of visiting a franchise bakery. A total of 513 responses were used for data analysis. SPSS 22.0 was used for analyzing general demographics, and SmartPLS 4.0 was used to test validity and reliability of the proposed model. Result: Among attributes of brand hearsay, advertisement and word-of-mouth had positively significant effects on brand attitude, but no significant effect was found between publicity and attitude. Advertisement had a positively significant impact on brand loyalty, while publicity had a negative effect on brand loyalty opposite to hypothesis. Moreover, brand attitude had a statistically significant effect on brand loyalty. Conclusions: In the context of franchise bakeries, brand hearsay contents may change consumers' attitude toward brands but does not increase brand loyalty. Though media publicity does not affect consumers' attitude toward brands, it may decrease brand loyalty when consumers are too exposed to it. In addition, it is necessary to enhance brand attitude to increase brand loyalty of customers. This study provides bakery franchisors and franchisees information about which type of brand hearsay (e.g., advertisement, word-of-mouth, media, publicity) is effective in enhancing brand attitudes and loyalty of consumers. Further studies may include other variables (e.g., trust) in addition to attitude and loyalty, or compare findings based on brand characteristics (e.g., low-to-medium/high prices, store size).

• Culinary science and hospitality research
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• v.20 no.2
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• pp.38-53
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• 2014

This Study has conducted a survey on the usage status of traditional rice cake as a meal substitute and an analysis on the selection attributes affecting purchase targeting male and female adults over 20 years old living in Seoul area so as to acquire basic data for enhancement of service and quality, and product development to facilitate and generalize rice cake consumption as a meal substitute. The survey was conducted for around 7 days from September 23rd to 30th, 2013, and 250 effective copies of questionnaire were used for the final analysis. The research outcomes show no significant deviation in terms of demographical features such as gender, marital status, age range, average monthly income and housing type; but there was a meaningful deviation in university graduation. Also, it is shown that taste, freshness, and convenience of a store were considered in their purchase of traditional rice cake as a meal substitute. Therefore, it is expected that development of various products, available for meal substitutes, would generalize and vitalize the consumption of traditional rice cake.

• Journal of Fashion Business
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• v.28 no.2
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• pp.76-91
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• 2024

This study analyzed the colors used in the logos of infants' and children's clothing brands, comparing them based on brand type and the pursued image. A total of 34 brands with the highest recent sales rates were selected. Among these, 17 were large-sized enterprise brands found in department stores, and the other 17 were in-house production enterprise brands. All colors used in the logos of the selected brands were extracted from the brand logo images. In addition, the study classified the pursued images of the selected brands using emotional adjectives in order to assess variations in different color attributes of the logos according to the brand type and pursued image. The study found that in-house production enterprise brands used lighter and more varied colors compared to department store brands. For both brand types, reddish-to-yellowish hues were most commonly used. Brands projecting a 'cute' and 'gorgeous' image exhibited a greater array of colors in their logos, while brands with a 'neat', 'modern', and 'luxurious' image used less saturated colors. In terms of logo type, symbol logos used the most colors with a moderate level of lightness, while typographic logos used the fewest colors with a low level of lightness.

• Genomics & Informatics
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• v.13 no.1
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• pp.7-14
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• 2015

During recent years, there has been exponential growth in biological information. With the emergence of large datasets in biology, life scientists are encountering bottlenecks in handling the biological data. This study presents an integrated geographic information system (GIS)-ontology application for handling microbial genome data. The application uses a linear referencing technique as one of the GIS functionalities to represent genes as linear events on the genome layer, where users can define/change the attributes of genes in an event table and interactively see the gene events on a genome layer. Our application adopted ontology to portray and store genomic data in a semantic framework, which facilitates data-sharing among biology domains, applications, and experts. The application was developed in two steps. In the first step, the genome annotated data were prepared and stored in a MySQL database. The second step involved the connection of the database to both ArcGIS and $Prot{\acute{e}}g{\acute{e}}$ as the GIS engine and ontology platform, respectively. We have designed this application specifically to manage the genome-annotated data of rumen microbial populations. Such a GIS-ontology application offers powerful capabilities for visualizing, managing, reusing, sharing, and querying genome-related data.

• Journal of the Korean Society of Clothing and Textiles
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• v.39 no.5
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• pp.683-694
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• 2015

This study defines the concept of triple media and examines various marketing media that influence a consumer's purchase of outdoor fashion brands. We explore the effects of gender and age on information searches related to outdoor fashion brands and purchase criteria related to outdoor clothing. A survey of consumers who visited stores was conducted. We targeted consumers between the ages of 15 and 50 and analyzed 764 questionnaires. The results show that triple media involve eight factors: five factors (printed ads or radio ads, campaign ads, Internet ads, TV ads, and store ads) in paid media, one factor (direct marketing) in owned media, and two factors (channels of social network services, channels of direct promotion) in earned media. Further, the evaluation/appraisal criteria of outdoor clothing consist of four attributes (practicality, promotional activities, product power, and customer service). The teenager group showed significantly low usage of campaign ads, direct marketing, and direct promotion, while the use of Internet ads is particularly high among teenagers compared to other age groups. Moreover, teenagers are least likely to rely on practicality when evaluating clothing and are most likely to value product power. Additionally, women show significantly high usage of direct marketing. In terms of the clothing appraisal criteria, women assign higher value to practicality and promotional factors than men. The theoretical and managerial implications of the findings are discussed.

• International Journal of Safety
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• v.4 no.2
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• pp.12-17
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• 2005

This paper aims at the development of an knowledge base for an electrical fire cause diagnosis system using the entity relation database. The relation database which provides a very simple but powerful way of representing data is widely used. The system focused on database construction and cause diagnosis can diagnose the causes of electrical fires easily and efficiently. In order to store and access to the information concerned with electrical fires, the key index items which identify electrical fires uniquely are derived out. The knowledge base consists of a case base which contains information from the past fires and a rule base with rules from expertise. To implement the knowledge base, Access 2000, one of DB development tools under windows environment and Visual Basic 6.0 are used as a DB building tool. For the reasoning technique, a mixed reasoning approach of a case based inference and a rule based inference has been adopted. Knowledge-based reasoning could present the cause of a newly occurred fire to be diagnosed by searching the knowledge base for reasonable matching. The knowledge-based database has not only searching functions with multiple attributes by using the collected various information(such as fire evidence, structure, and weather of a fire scene), but also more improved diagnosis functions which can be easily wed for the electrical fire cause diagnosis system.

• Journal of the Korean Society of Clothing and Textiles
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• v.21 no.2
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• pp.442-454
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• 1997

The purpose of this study was 1) to identify the effects of lifestyle activities and decision -making related variables (shopping orientations, use of information sources and importance of store attributes) on the outshopping behavior of female consumers in Seoul and satellite cities, and 2) to investigate the differences in the effects of those variables on the outshopping behavior among 4 clothing categories (formal wear, separates, casual wear, underwear). The data were collected via a questionnaires from 508 adult females of ages over 20's living in Seoul and satellite cities around Seoul and were analyzed by factor analysis and discriminant analysis. The results of this study were as follows: 1) Some of the factors of 4 decision-making related variables significantly discriminated the outshoppers and inshoppers. The most influential factors were attitude toward imported products, time-oriented and price-oriented attitude of shopping orientations. 2) There were significant differences in the effects of 4 variables on outshopping behaviors among 4 clothing categories. More factors were effective in discriminating the outshopping behavior for formal wear or separates purchase.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.1
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• pp.131-140
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• 2020

The purpose of this study is to derive various clues for the establishment of marketing strategies for companies that produce and sell high-involvement products for Millennials who are not the subject of current consumption but who will lead future consumption. For this purpose, this study aimed to derive 17 factors of high-involvement product selection attributes through FGI, and its relationship on repurchase intention after make a variable through PCA. A total of 158 valid questionnaires were used, and IPA, independent sample t-test, regression analysis, and hierarchical controlled regression analysis were performed. The results showed that overall, external and internal selection factors had a positive influence on repurchase intentions, and in particular, appealing to internal and external selection factors in order to promote repurchase intention. Meanwhile, the Millennials were found to have no gender difference. Therefore, the company producing and selling high-involvement products suggests that it is necessary to make a priority effort to secure brand awareness, trust in product producers, store trust, and product self-reputation as components of internal selection factors. It was also concluded that more strategic efforts were needed to focus on and appeal to the characteristics of the Millennial itself rather than to consider gender differences.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.9 no.2
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• pp.445-453
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• 2005

The design process of a relational database system consists of requirement analysis, conceptual design using ER diagram, logical design, and physical design. In logical design process, the conceptual schema is transformed to relational schema, and relational schema is normalized. This traditional design process is hard to applied in real database design process, since there is an ambiguity in conceptual design process. In this paper, we suggest a new design process, which provides more structural design steps by removing the conceptual design process. In new approach, we produce the data flow diagram by the structural methodology. From the attributes in the data store of data flow diagram, we construct relational table schema, and we normalize relational schema. Finally we produced table relationship diagram in order to figure out relationships between tables.