• Journal of the Korean Institute of Landscape Architecture
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• v.29 no.3
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• pp.70-80
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• 2001

It is necessary to construct an effective regional information system in facing the incoming information intensive society. Many local government in Korea began to recognize a need for constructing a GIS(Geographic Information System) and they are planning to construct GIS´s to improve their administrative efficiency. However, ti requires high-priced hardware, software, and an experienced operator to sue a GIS effectively. The purpose of this study is to develop the GIS program which can be sued with ease by common users. By developing a GIS functioned program using a coordinate recognition module by application of geo-spatial data, and a digital map which is already made, this program can be used efficiently only by only inputting attributes without high-priced hardware and software, and can be utilized easily to every purposes of work with geo-spatial data and attributes. MapObjects, mapping and GIS component, was employed to use geo-spatial data, and Access 97 from Microsoft to manage and attributes database. Visual Basic, objected-oriented language, was used to develop an application program. Results of this study were applied to constructing the Information system of Kanwon National University. This program could be used for various purposed by common users without additional hardware and software.

• IEIE Transactions on Smart Processing and Computing
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• v.5 no.5
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• pp.358-365
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• 2016

We propose a novel application of random forest, a machine learning-based general classification algorithm, to analyze the influence of design attributes on the silicon-to-SPICE (S2S) gap. To improve modeling accuracy, we introduce magnification of learning data as well as randomization for the counting of design attributes to be used for each tree in the forest. From the automatically generated decision trees, we can extract the so-called importance and impact indices, which identify the most significant design attributes determining the S2S gap. We apply the proposed method to actual silicon data, and observe that the identified design attributes show a clear trend in the S2S gap. We finally unveil 10nm key fin-shaped field effect transistor (FinFET) structures that result in a large S2S gap using the measurement data from 10nm test vehicles specialized for model-hardware correlation.

• International Journal of Contents
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• v.6 no.3
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• pp.53-58
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• 2010

This study empirically analyzes the characteristics of the various attributes of technology that influence the economic values of technologies, based on the cases of technology valuation carried out in Korea. To do so, we collect the cases of technology valuation carried out by major technology valuation institutions in Korea and extract from these data the information about various characteristics of the subject technologies of valuation and the primary factors applied to the technology valuation. Based on such extracted information, we examine the overall trends of technology valuation in Korea and analyze how the main factors of technology valuation vary with the attributes of technology.

• Journal of the Korean Society of Industry Convergence
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• v.25 no.1
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• pp.37-45
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• 2022

It is well known that the Kano model measures customer satisfaction and classifies quality attributes into must-be, attractive as well as one-dimensional. The main purpose of this study is to investigate the dynamics of e-learning quality attributes by applying the proposed method using Kano's satisfaction index in the rapidly changing online learning environment. For this, the current study examined 27 e-learning quality attributes and conducted a comparative study using Kano's results obtained in 2013 and 2020. The result shows that the dynamics of quality attributes suggested by Kano(2001) is confirmed in the case of e-learning. The proposed approach shows better results in terms of Kano's direct classification method, and has potential application areas such as IPA(Importance-Performance Analysis) in the area of risk assemement. Some suggestions for better understanding of the proposed SI-DI diagram are also included in this study.

• Journal of the Korea Fashion and Costume Design Association
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• v.22 no.3
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• pp.139-153
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• 2020

Today, the proliferation of smart-phones and other mobile devices is bringing many changes to people's daily lives. Recently, the mobile shopping market has grown rapidly and has become a center of distribution. Furthermore, the consumer mobile fashion market is expected to expand and mobile fashion consumers' shopping tendencies will gradually become segmented. Differentiated marketing strategies for mobile fashion companies are to become essential. This study intends to understand the propensity of mobile fashion shopping and the importance of fashion app attributes, and their impact on mobile fashion shopping customer satisfaction and loyalty. The research aims to identify shopping trends and buying behaviors of mobile fashion consumers, find ways to increase mobile fashion shopping purchases, and help develop the mobile fashion market. The results of this study are summarized as follows. First, the compilation and the economics of the mobile fashion shopping propensity factors were shown to have a significant impact on product information, product reviews, and service quality, which are in turn important factors for fashion app attributes, whereas convenience only had a significant impact on service quality. Second, product information and service quality, which are also important factors for fashion app attributes, have a significant impact on mobile fashion shopping. Third, customer satisfaction concerning mobile fashion shopping has a significant impact on loyalty. Mobile fashion shopping customer satisfaction increases loyalty. Increasing the satisfaction and loyalty of mobile fashion shopping will lead to increased sales using mobile fashion shopping apps(Site) and become apparent in the results of mobile fashion companies. Therefore, various efforts by mobile fashion companies will be needed to satisfy their customers.

• Spatial Information Research
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• v.11 no.3
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• pp.301-325
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• 2003

Urban residential area, one of the main subjects of urban and architectural studies, can be analyzed accurately and rapidly with CIS. (Geographic Information System) And the applications of GIS in urban studies are too macro to be explained in architectural terms and the ones in architectural studies are not so much active rather be used as a secondary means. So the studies in urban-architectural scale are very useful in many ways. This study explores urban-architectural possibilities of analytic capabilities of GIS through the analysis of spatial characteristics of residential area in terms of land price according to parcel attributes. It is found, firstly, that the parcel attributes have relations with land price and its distribution patterns. Secondly, it is verified that the visualization capability of GIS can be a very useful method of analysis through user-interface effects in urban-architectural scaled analysis.

• Journal of Korean Port Research
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• v.14 no.1
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• pp.57-64
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• 2000

For composing the structure model of national maritime power system by system structural modeling, in this study, the 50 basic factors are selected by survey of the extensive and through literatures on maritime, sea, maritime power and sea power. And the basic factors are classified into 36 component factors by cluster method. The 9 attributes are extracted by the application of the principle component analysis method, one of the factor analysis method in system engineering, to component factors. In this study, we define the attributes composing the national maritime power system by integrating the result of this study and existed our studies relating to this topic. Which are showed in Table 2. and we show the structure model of national maritime power system in Fig. 3. In Table 2, the 9 attributes are as follows : the fundamental power of maritime, shipping and port power, naval power, fishing power, shipbuilding power, the power of ocean research and development, dependency on seaborne trade, the protection power of ocean environment and the will and inclination of govemment. Also, in the case of evaluating this system, we conform the importance of considering the interactions among the attributes which have strong interactions in structure model of national maritime power system.

• The Journal of Information Systems
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• v.29 no.3
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• pp.1-34
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• 2020

Purpose Due to the complexity of policy environment in modern society, it is accepted as common basics of policy design to mix up a variety of policy instruments aiming the multiple functions. However, under the current situation of written-down policy specification, not only the public officers but also the policy researchers cannot easily grasp such frameworks as policy portfolio. The purpose of this study is to develop "Policy Attributes Taxonomy" identifying and classifying the public programs to help making decisions for allocative efficiency with effectiveness-based information. Design/methodology/approach To figure out the main scheme and classification criteria of Policy Attributes Taxonomy which represents characteristics of public policies, previous theories and researches on policy components were explored. In addition, to test taxonomic feasibility of certain information system, a set of "Feasibility Standards" was drawn from "requirements for well-organized criteria" of eminent taxonomy literatures. Finally, current government classification system in the area of social service was tested to visualize the application of Taxonomy and Standards. Findings Program Taxonomy Schemes were set including "policy goals", "policy targets", "policy tools", "logical relation" and "delivery system". Each program and project could be condensed into these attributes, making their design more easily distinguishable. Policy portfolio could be readily made out by extracting certain characteristics according to this scheme. Moreover, this taxonomy could be used for rearrangement of present "Program Budget System" or estimation of "Basic Income".

• 한국지구물리탐사학회:학술대회논문집
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• 2009.05a
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• pp.35-45
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• 2009

Reservoir Characterization (RC) using 3-D seismic attributes analysis can provide properties of the oil sand reservoirs, beyond seismic resolution. For example, distributions and temporal bed thicknesses of reservoirs could be characterized by Spectral Decomposition (SD) and additional seismic attributes such as wavelet classification. To extract physical properties of the reservoirs, we applied 3-D seismic attributes analysis to the oil sand reservoirs in McMurray formation, in BlackGold Oilsands Lease, Alberta Canada. Because of high viscosity of the bitumen, Enhanced Oil Recovery (EOR) technology will be necessarily applied to produce the bitumen in a steam chamber generated by Steam Assisted Gravity Drainage (SAGD). To optimize the application of SAGD, it is critical to identify the distributions and thicknesses of the channel sand reservoirs and shale barriers in the promising areas. By 3-D seismic attributes analysis, we could understand the expected paleo-channel and characteristics of the reservoirs. However, further seismic analysis (e.g., elastic impedance inversion and AVO inversion) as well as geological interpretations are still required to improve the resolution and quality of RC.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.37 no.2
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• pp.81-89
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• 2019

As the need for the integration of administrative datasets and address information increases, there is also growing interest in POI (Point of Interest) data as a source of location information across applications and platforms. The purpose of this study is to develop an alias database management method for efficient POI searching, based on POI data representing position. First, we determine the attributes of POI alias data as it is used variously by individual users. When classifying aliases of POIs, we excluded POIs in which the typo and names are all in English alphabet. The attributes of POI aliases are classified into four categories, and each category is reclassified into three classes according to the strength of the attributes. We then define the quality of POI aliases classified in this study through experiments. Based on the four attributes of POI defined in this study, we developed a method of managing one POI alias through and integrated method composed of word embedding and a similarity measurement. Experimental results of the proposed POI alias management method show that it is possible to utilize the algorithm developed in this study if there are small numbers of aliases in each POI with appropriate POI attributes defined in this study.