• Journal of the Korean Institute of Rural Architecture
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• v.23 no.1
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• pp.51-58
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• 2021

The purpose of this study is to use urban regeneration management types through classification and step-setting of physical types by administrative dong as the basis data for future urban management plans in local small and medium cities. The analysis was conducted on the physical density of each administrative dong by setting the data on urban and architecture provided by the government as three elements: buildings, lots, roads, etc. Through the system classified in this study, Mokpo City's 23 administrative districts were divided into nine management types and three management steps. Methodology can be utilized to establish areas of similar areas within the city and to use them as basic data for planning management. It is meaningful that it is possible to extract areas that need actual regeneration and maintenance through physical density analysis and plan suitable projects.

• International conference on construction engineering and project management
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• 2022.06a
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• pp.50-56
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• 2022

Change Orders generally impact cost and schedule performance of highway projects. However, highway projects that do not have any change orders also face cost growth and schedule delays. This study seeks to determine the cost and schedule performance of Texas DOT projects by collecting project data for 120 highway projects completed between 2016 to 2020. For the study, we selected project data that has zero or negative change orders which were then grouped and analyzed based on their Project Types i.e., maintenance works; structural works; restoration and rehabilitation works; and safety works. The study found that performance of Maintenance and Safety type projects had less cost and schedule growth among the data analyzed. Statistical tests also found that even though the projects have no change orders, Rehabilitation and Restoration type projects experienced significant schedule growth compared to others. However, the data did not show any significant cost and schedule growth for the projects when statistical tests were performed on overall data. The study concluded that highway projects are experiencing schedule growth even though the projects had no change orders. Results from the study can help planners, engineers, and administrators to gain better insight on how different types of highway projects are performing in terms of cost and schedule and eventually derive appropriate solutions to minimize cost and schedule growth in such projects.

• Journal of the Korean Society of Clothing and Textiles
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• v.26 no.9
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• pp.1354-1365
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• 2002

With the appearance of many new types of fashion stores in Korea, competitions among fashion store types art fiercer than ever before. As consumers alternatives in fashion store selection increase, they select different store types to purchase different product types. Therefore, the probability of patronage mix behavior according to product type increases. Understanding consumers patronage mix behavior, finding out the determinant attributes of fashion stores for each product type, and analyzing competitive structures among fashion stores are important to retailers and marketers for building a successful merchandising and marketing strategies. An empirical study was conducted to analyze the competitive structure among the store types by consumers' patronage mix behavior. A questionnaire was developed and data were collected from 464 adult women living in Seoul area in Korea. Factor analysis, paired t-test, ANOVL Duncan test, and discriminant analysis were employed to analyze the data. Data regarding patronage mix behavior by product type proved that certain store types had ‘natural dominance’ in a particular product type as Hirschman(l978) pointed out. Also, a new analytic method of the competitive structures among fashion store types was suggested in the study, by which a specific store type retailer can analyze his/her own customers' patronage mix behavior by product type. The analysis will enable retailers to distinguish which of their competitors are substitutive, selling same product types, and which are complementary, selling different product types. Retailers have to concentrate on the strategies for the substitutive competitors rather than complementary competitors because their marketing abilities and resources are limited.

• Journal of Computing Science and Engineering
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• v.1 no.2
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• pp.125-160
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• 2007

Data Warehousing and OLAP (On-Line Analytical Processing) have turned into the key technology for comprehensive data analysis. Originally developed for the needs of decision support in business, data warehouses have proven to be an adequate solution for a variety of non-business applications and domains, such as government, research, and medicine. Analytical power of the OLAP technology comes from its underlying multidimensional data model, which allows users to see data from different perspectives. However, this model displays a number of deficiencies when applied to non-conventional scenarios and analysis tasks. This paper presents an attempt to systematically summarize various extensions of the original multidimensional data model that have been proposed by researchers and practitioners in the recent years. Presented concepts are arranged into a formal classification consisting of fact types, factual and fact-dimensional relationships, and dimension types, supplied with explanatory examples from real-world usage scenarios. Both the static elements of the model, such as types of fact and dimension hierarchy schemes, and dynamic features, such as support for advanced operators and derived elements. We also propose a semantically rich graphical notation called X-DFM that extends the popular Dimensional Fact Model by refining and modifying the set of constructs as to make it coherent with the formal model. An evaluation of our framework against a set of common modeling requirements summarizes the contribution.

• Journal of the Korean Home Economics Association
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• v.38 no.6
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• pp.59-70
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• 2000

The purposes of this study were to investigate the effects of the degree self-monitoring, perceived risk and the types of advertising in cosmetic purchase behavior. The data were obtained with an experimental design which was 2${\times}$(2${\times}$2) mixed factorial design. The subjects were classified 280 pre-test subjects into 70 high level of self-monitoring subjects and 70 low level of self-monitoring subjects. The data were analysed with ANOVA, using the SAS program. The result of this study can be summarized as follows ; In experimental I, the effect on the consumer preference was the significant 2-way interaction effects between the degree of the self-monitoring and appeal types of advertising as well as between the types of cosmetic products depending on perceived risk and appeal types of advertising. In experimental II, the effect on the consumer purchase intention was the significant 2-way interaction effects between the degree of the self-monitoring and appeal types of advertising as well as between the types of cosmetic products depending on perceived risk and appeal types of advertising.

• Journal of the Korean Data and Information Science Society
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• v.15 no.1
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• pp.11-20
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• 2004

The purpose of this paper was to reveal Service Operation Strategy for the Internet shopping mall based on the types of internet users' market segmentation focus on the internet shopping behavior and e-service quality. In this paper, we examined internet shopping behavior and internet service quality factor depend on the types of internet users' group empirically. The empirical study result identifies the main decision factor depend on the types of internet users' group. On the basis of these result, Service Operation Strategy for the internet shopping mall has been suggested.

• Proceedings of the KSRS Conference
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• 2006.03a
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• pp.117-120
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• 2006

Heavy rainfall events are occurred exceedingly various forms by a complex interaction between synoptic, dynamic and atmospheric stability. As the results, quantitative precipitation forecast is extraordinary difficult because it happens locally in a short time and has a strong spatial and temporal variations. GOES-9 imagery data provides continuous observations of the clouds in time and space at the right resolution. In this study, an power-law type algorithm(KAE: Korea auto estimator) for estimating rainfall based on the rainfall type was developed using geostationary meteorological satellite data. GOES-9 imagery and automatic weather station(AWS) measurements data were used for the classification of rainfall types and the development of estimation algorithm. Subjective and objective classification of rainfall types using GOES-9 imagery data and AWS measurements data showed that most of heavy rainfalls are occurred by the convective and mired type. Statistical analysis between AWS rainfall and GOES-IR data according to the rainfall types showed that estimation of rainfall amount using satellite data could be possible only for the convective and mixed type rainfall. The quality of KAE in estimating the rainfall amount and rainfall area is similar or slightly superior to the National Environmental Satellite Data and Information Service's auto-estimator(NESDIS AE), especially for the multi cell convective and mixed type heavy rainfalls. Also the high estimated level is denoted on the mature stage as well as decaying stages of rainfall system.

• School Mathematics
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• v.9 no.1
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• pp.45-64
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• 2007

The primary purposes of this study were to investigate how sixth graders would react to the types of tasks with regard to the comprehension of graphs and what differences might be among the kinds of graphs, and to raise issues about instructional methods of graphs. A descriptive study through pencil-and-paper tests was conducted. The tests consisted of 48 questions with 4 types of tasks (reading the data, reading between the data, reading beyond the data, and understanding the situations) and 6 kinds of graphs. The conclusions drawn from the results obtained in this study were as follows: First, it is necessary to foster the ability of interpreting the data and understanding the situation in graphs as well as that of reading the data and finding out the relationships in the data. Second, it is informative for teachers to know students' difficulties and thinking processes. Third, in order to develop understanding of graphs, it is important that students solve different types of tasks beyond simple question-answer tasks. Fourth, teachers need to pay attention to teach fundamental factors such as reading the data with regard to line graphs and stem-and-leaf plots Finally, graph type and task type interact to determine graph-comprehension performance. Therefore, both learning all kinds of graphs and being familiar with multiple types of tasks are important.

• Journal of the Korean Data and Information Science Society
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• v.18 no.2
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• pp.279-287
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• 2007

Data fusion is the process of combining multiple data in order to produce information of tactical value to the user. Data fusion is generally defined as the use of techniques that combine data from multiple sources and gather that information in order to achieve inferences. Data fusion is also called data combination or data matching. Data fusion is divided in five branch types which are exact matching, judgemental matching, probability matching, statistical matching, and data linking. In this paper, we develop was macro program for statistical matching which is one of five branch types for data fusion. And then we apply data fusion and association rule techniques to environmental data.

• Proceedings of the Computational Structural Engineering Institute Conference
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• 1998.10a
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• pp.381-388
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• 1998

This paper describes the development of an expert system designed to help engineers select proper foundation types and construction methods for structures under various subsoil conditions. The system includes geographical and geological data in certain areas of Ulsan and a knowledge base for the selection of foundation types. Geological data, such as boring logs, in the areas were collected and arranged to form the subsoil database in the areas concerned Test borings at 30 holes were carried out for reference and confirmation purposes. The use of this system is twofold. It provides the users with a quick view on the geological situations of the areas concerned, and suggests proper foundation types for the specific spot together with some explanations on the selected foundation types and methods.