• Journal of Information Display
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• v.3 no.2
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• pp.26-30
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• 2002

Large area plasma source has been built for LCD etcher by an array of $2{\times}2$ ICP sources. Since only one RF power supply and one impedance matching network is used in this configuration, any difference in impedances of unit RF antennas causes unbalanced power delivery to the unit ICP. In order to solve this unavoidable unbalance, unit antenna is designed to have a movable tap, with which the inductance of each unit can be adjusted individually. The plasma density becomes symmetric and etch rate becomes more uniform with the impedance adjustment. The concept of adding axial time-varying magnetic field to the single ICP source is applied to the array ICP source, and is found to be effective in terms of etch rate and uniformity.

• Journal of the Korea Fashion and Costume Design Association
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• v.24 no.3
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• pp.33-48
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• 2022

This study aimed to investigate bag purchase behaviors according to materialism value. The subjects were 443 male and female adult consumers in their 20s to 50s. The research method was a survey, and the questionnaire consisted of questions on materialism value, bag purchase behaviors, and demographic characteristics. For data analysis, descriptive statistics, Cronbach's α, χ² test, factor analysis, cluster analysis, ANOVA, and Duncan's multiple range test were performed. The results of this study were as follows. First, materialism value was derived from three factors (happiness pursuit, possession-oriented, and success judgment). Second, subjects could be divided into three groups (happiness pursuit group, success judgment pursuit group, and immaterialism group) based on the materialism value variable. Third, the derived groups showed many differences in bag purchase behaviors. The happiness pursuit group considered all bag evaluation criteria factors (practicality, aesthetics, economy, symbolism) and bag purchasing information sources factors (mass media and personal sources) more than other groups, and showed a tendency to prefer select shops and complex shopping malls as bag purchasing places. In addition, the average annual cost and frequency of purchasing bags of this group were higher than those of other groups. The success judgment pursuit group considered symbolism as a bag evaluation criteria more than other groups, and considered personal sources as bag purchasing information sources more than mass media sources, and preferred luxury stores and department stores as bag purchasing places. On the other hand, the immaterialism group considered practicality and aesthetics as bag evaluation criteria and placed less importance on all information sources than other groups, and preferred Internet shopping malls as purchasing places. This group had the lowest average annual purchase cost and frequency among the three consumer groups. This study suggested that materialism value is a useful variable to segment male and female adult consumer markets effectively, and to understand the bag purchase behaviors of consumer groups divided by materialism value.

• Journal of the Korea Fashion and Costume Design Association
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• v.16 no.1
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• pp.41-52
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• 2014

The purposes of this study were to explore differences in utilization of information sources depending on the length of buyers' career and annual sales volume of stores where buyers work for. The questionnaire was prepared by the researcher and was answered by 200 buyers who purchase their items from Dondaemun market. The researcher analyzed the data using both ANOVA and Tukey's test as a post-hoc test. The conclusion of this study is summarized below. First, there were significant differences in utilization of information sources among buyer groups depending on the length of buyers' career. The buyers with more than 10 years career showed more effective utilization of information source such as resident buying offices, manufacturers, trade publications, trade associations, fashion reports, celebrities, window shopping, professional magazines, and advice from others. Second, there were significant differences in utilization of information sources among buyer groups depending on annual sales volume of the stores where the buyers work for. The buyer who work for the store with its annual sales volume in excess of 2 billion won showed more effective utilization of information source such as trade association, professional magazines, sales record, want slips, advertising results, sales trends, customer surveys, sales meetings, customer advisory panel, in-store merchandising bureau and advice from other experienced buyers. However, buyers of the store with its annual sales volume lower than 100 million won showed different pattern utilization of information sources such as vendors, trade publication, celebrities and advice from others.

• Journal of the Korea Society of Computer and Information
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• v.13 no.6
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• pp.77-86
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• 2008

The Web information sources can be regarded as the largest distributed database to the users. By virtually integrating the distributed information sources and regarding them as a single huge database, we can query the database to extract information. This capability is important to develop Web application programs. We have to infer a database schema from browsing-oriented Web documents in order to integrate databases. This paper presents a heuristic algorithm to infer the XML Schema fully automatically from semi-structured Web documents. The algorithm first extracts candidate pattern regions based on predefined structure-making tags, and determines a target pattern region using a few heuristic factors, and then derives XML Schema extraction rules from the target pattern region. The schema extraction rule is represented in XQuery, which makes development of various application systems possible using open standard XML tools. We also present the experimental results for several public web sources to show the effectiveness of the algorithm.

• Journal of the Korean Society for Library and Information Science
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• v.52 no.1
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• pp.381-400
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• 2018

The purpose of this study is to analyze the currently operating subject guides in academic libraries and to suggest measures for improvements of them. To do this, 22 out of 151 academic libraries which have more than 1,000 enrolled college students in the university and two institutes of science and technology were selected and the libraries were analyzed according to 12 criteria. The main results of the data analysis were as follows: First, the subject guides did not clearly indicate which service tool to use. Second, there was a difference in the subject guide format in the same academic library. Third, libraries tried to provide a lot of information sources on the subject guides without considering users' needs. By offering many kinds of information sources, students had to choose the information sources they needed. Improvement plans are: First, it is necessary to develop the subject guide of the college courses. Second, Content-based subject guides are necessary through standardized format. Third, it is necessary to unify the name of menu of information resource. Fourth, the number of information sources included in the subject guides should be minimized. Fifth, it is necessary to establish a cooperation system between academic libraries to develop the subject guides.

• The Korean Journal of Franchise Management
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• v.13 no.3
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• pp.1-15
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• 2022

Purpose: In the restaurant sector, it has been known that consumers' positive perception of brands influences their positive WOM intention, and information sources play an important role in increasing credibility by enhancing consumer awareness and developing differentiated brands. This study examines the effects of information sources (e.g., advertisement, WOM, SNS) on trust (cognitive and affective) and, WOM and eWOM intention in the restaurant context. In the model, cognitive and affective trust play mediating roles in the relationships between information sources (e.g., advertisement, WOM, SNS) WOM and eWOM intention. Research design, data, and methodology: Research models and hypotheses were developed according to the research direction. The survey questionnaire items were developed and used appropriately according to the contents of this paper based on prior studies. All constructs were measured with multiple items developed and validated in prior studies. A total of 502 responses were collected from an online survey. The research model was evaluated using SmartPLS 4.0. Frequency analysis was performed to understand the demographic characteristics of the survey respondents. The reliability, convergent validity, and discriminant validity were assessed using measurement model analysis. The proposed model was verified using the structural equation model. Results: Advertisement, WOM, and SNS information sources all had a positive effect on affective trust, whereas only WOM had a significant effect on cognitive trust. In addition, affective trust had a positive effect on cognitive trust and eWOM intention but did not affect WOM intention. Finally, cognitive trust was found to have a positive effect on both WOM intention and eWOM intention. Conclusions: This study redefines the concept of where restaurant service companies should focus when providing consumers with information about their products and services. As a result, the conceptual framework of positive word of mouth intention to increase new customer visits to the restaurant brand has been expanded. In addition, this study not only presents an information source management strategy for restaurant brands, but also presents practical implications for resource allocation guidelines for customer management in the restaurant sector.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.65 no.7
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• pp.1277-1282
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• 2016

The term "Big Data" has been defined to encapsulate a broad spectrum of data sources and data formats. It is often described to be unstructured data due to its properties of variety in data formats. Even though the traditional methods of structuring data in rows and columns have been reinvented into column families, key-value or completely replaced with JSON documents in document-based databases, the fact still remains that data have to be reshaped to conform to certain structure in order to persistently store the data on disc. ETL processes are key in restructuring data. However, ETL processes incur additional processing overhead and also require that data sources are maintained in predefined formats. Consequently, data in certain formats are completely ignored because designing ETL processes to cater for all possible data formats is almost impossible. Potentially, these unconsidered data sources can provide useful insights when incorporated into big data analytics. In this project, using big data solution, Apache Spark, we tapped into other sources of data stored in their raw formats such as various text files, compressed files etc and incorporated the data with persistently stored enterprise data in MongoDB for overall data analytics using MongoDB Aggregation Framework and MapReduce. This significantly differs from the traditional ETL systems in the sense that it is compactible regardless of the data formats at source.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.12 no.5
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• pp.2177-2193
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• 2018

This paper studies resource allocation schemes for the relay-aided cooperative system consisting of multiple source-destination pairs and decode-forward (DF) relays. Specially, relaying selection, multisubcarrier pairing and assignment, and power allocation are investigated jointly. We consider a combinatorial optimization problem on quality of experience (QoE) and energy consumption based on relay-aided cooperative system. For providing better QoE and lower energy consumption we formulate a multi-objective optimization problem to maximize the total mean opinion score (MOS) value and minimize the total power consumption. To this end, we employ the nondominated sorting genetic algorithm version II (NSGA-II) and obtain sets of Pareto optimal solutions. Specially, two formulas are devised for the optimal solutions of the multi-objective optimization problems with and without a service priority constraint. Moreover, simulation results show that the proposed schemes are superior to the existing ones.

• Journal of Soil and Groundwater Environment
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• v.15 no.6
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• pp.64-71
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• 2010

National inventory of soil and groundwater contamination is an efficient decision-making tool to identify and manage existing or potential contaminated sources and contaminants. It has been used as basic data for establishing the scheme of regulations and remediation plans of soil and groundwater contamination in developed countries. This study examined classification of existing or potential sources of soil and groundwater contamination from various countries to suggest implications that required for development of classification of soil and groundwater contamination sources in Korea. Each country has provided a list of currently or potentially contaminating activities or landuses and identified some of the potential contaminants related to those contamination sources. Consideration of sources which had not been mentioned or regarded as contamination sources before was suggested for Korea situation. In addition, it is necessary to compile a list of existing data and information as much as possible to develop a detailed and practical list of various contamination sources.

• Journal of KIISE:Software and Applications
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• v.29 no.1_2
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• pp.42-52
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• 2002

Information extraction(IE) is a process of recognizing and fetching particular information fragments from a document. In previous work, most IE systems generate the extraction rules called the wrappers manually, and although this manual wrapper generation may achieve more correct extraction, it reveals some problems in flexibility, extensibility, and efficiency. Some other researches that employ automatic ways of generating wrappers are also experiencing difficulties in acquiring and representing useful domain knowledge and in coping with the structural heterogeneity among different information sources, and as a result, the real-world information sources with complex document structures could not be correctly analyzed. In order to resolve these problems, this paper presents an agent-based information extraction system named XTROS that exploits the domain knowledge to learn from documents in a semi-structured information source. This system generates a wrapper for each information source automatically and performs information extraction and information integration by applying this wrapper to the corresponding source. In XTROS, both the domain knowledge and the wrapper are represented as XML-type documents. The wrapper generation algorithm first recognizes the meaning of each logical line of a sample document by using the domain knowledge, and then finds the most frequent pattern from the sequence of semantic representations of the logical lines. Eventually, the location and the structure of this pattern represented by an XML document becomes the wrapper. By testing XTROS on several real-estate information sites, we claim that it creates the correct wrappers for most Web sources and consequently facilitates effective information extraction and integration for heterogeneous and complex information sources.