• Korean Institute of Interior Design Journal
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• v.17 no.1
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• pp.50-59
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• 2008

The study aims to establish the systematic residential satisfaction index which reflected perception of high rise residents are demand on the Apartment housing. Apartment house is developed to reduce the housing shortage caused by urbanism after industrialization in Korea. It has increased constantly since the 1970s and has become the most common residential type of Korean city dwellers. It shows Korean dwelling pattern and culture. Furthermore, it can be an index of private wealth. The main purpose of the thesis is the highlight on systematic planning process for actual users' needs. In other words, city planners are eager to reflect each individual preference when he/she designs a house. More practical and accurate research in user's satisfaction of housing can be helpful to overcome limitations of city planner's personal preference which can't provide certain evidences. First, the study has carried out the survey of importance of design elements which were selected on the basis of the results of the POE, Residential Quality, Quality Of Life which were carried out for the same subject. Then, the data were analyzed by SPSS 12+ program package in terms of frequency, factor analysis and reliability analysis. The results reveals that the Residential Satisfaction Index of Apartment housing are consisted of 8 factors which had been sorted out in factor analysis which can be interpreted to be closely related to the Physical, Social psychological and General environment.

• Journal of the Korean Society of Environmental Restoration Technology
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• v.12 no.6
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• pp.99-111
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• 2009

There have been continuous studies about urban parks since 1971 until now. However, there was neither deep analysis of park space nor research about green areas and lawn space. Below is the summary of the main results obtained based on the analysis of the problems with the spatial structure and park facilities of 8 examinatory parks. The analysis of use pattern revealed that lawns in green areas are becoming almost unusable spaces. Therefore plans for more active utilization of lawn space is necessary. There were high correlations among unnecessary and necessary factors of park, use of green areas and the reasons for not using it; thus the analysis suggested that other plans be considered for utilization of lawn space in oder to obtain stronger efficacy. The objective of the present research was to suggest an opinion concerning the improvement of spatial structure of urban parks, by making unusable spaces of parks usable through appropriate park structuring, so that users can utilize more parks. Especially with regard to green areas, the present research has a meaning in that it suggested a method of improving spatial structure by means of green areas desired by users and facilities they can use.

• Journal of Korean Society of Forest Science
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• v.98 no.4
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• pp.435-443
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• 2009

The purpose of this study is to construct user satisfaction model using factor analysis and regression analysis through survey on various factors which decide users' satisfaction index of OK-SUNG Recreation Forest located in Gumi-city, Kyungbuk (newly opened on Dec, 26, 2007) and to suggest the right operation plans referring to the studies on existing recreation forests. The research results are as follows; The using behavior of recreation forests reported similar pattern to existing researches such as companion pattern, duration of status, ages and costs. The result of construction regression model after dividing of using behavior of recreation forests into two sections, which are physical sector and mental sector, showed that recreation environmental factor and inner recreation factor influenced more highly on satisfaction index. This result showed that the recreation factor, which is for obtaining mental satisfaction and friendship among companions, nature friendly factor and environmental factor more highly influence on the satisfaction index and the existing studies also support this result. Therefore, in order to offer higher standard recreation opportunities to the users, there needs consideration not only concerning experience facilities, walks and paths up a mountain, but also concerning the harmony between nature and facilities. In addition, in order to offer comfort and stableness in body and mind to users, it is necessary to educate and train the staff to offer better service and to maintain the facilities of recreation forest peaceful and calm.

• Journal of the Institute of Electronics and Information Engineers
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• v.50 no.6
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• pp.212-220
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• 2013

Recently, there has been tremendous increase in human-computer/machine interaction system, where the goal is to provide with an appropriate service to the user at the right time with minimal human inputs for human augmented cognition system. To develop an efficient human augmented cognition system based on human computer/machine interaction, it is important to interpret the user's implicit intention, which is vague, in addition to the explicit intention. According to cognitive visual-motor theory, human eye movements and pupillary responses are rich sources of information about human intention and behavior. In this paper, we propose a novel approach for the identification of human implicit visual search intention based on eye movement pattern and pupillary analysis such as pupil size, gradient of pupil size variation, fixation length/count for the area of interest. The proposed model identifies the human's implicit intention into three types such as navigational intent generation, informational intent generation, and informational intent disappearance. Navigational intent refers to the search to find something interesting in an input scene with no specific instructions, while informational intent refers to the search to find a particular target object at a specific location in the input scene. In the present study, based on the human eye movement pattern and pupillary analysis, we used a hierarchical support vector machine which can detect the transitions between the different implicit intents - navigational intent generation to informational intent generation and informational intent disappearance.

• Journal of the Institute of Electronics Engineers of Korea TC
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• v.46 no.4
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• pp.86-94
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• 2009

Currently, positioning methods for LBS(Location Based Service) are GPS and network-based positioning techniques that use mobile communication networks. In these methods, however, the accuracy of positioning decreases due to the propagation delay caused by the non-line-of-sight(NLOS) effect and the repeater. To address this disadvantage, the CDMA system uses Pattern Matching algorithm. The Pattern Matching algorithm constructs a database of the propagation characteristics of the RF signals measured during the GPS positioning along with the positioned locations, so that the location can be provided by comparing the propagation characteristics of the received signals and the database, upon a user's request. In the area where GPS signals are not received, however, a database cannot be constructed. There are problem that the accuracy of positioning decreases due to the area without a database Because Pattern Matching algorithm depend on database existence. Therefore, this paper proposed a pilot signal strength prediction algorithm to enable construction of databases for areas without databases, so as to improve the performance of the Pattern Matching algorithm. The database was constructed by predicting the pilot signals in the area without a database using the proposed algorithm, and the Pattern Matching algorithm analysed positioning performance.

• Journal of Intelligence and Information Systems
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• v.26 no.2
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• pp.43-56
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• 2020

Recommender systems help users make the best choice among various options. Especially, recommender systems play important roles in internet sites as digital information is generated innumerable every second. Many studies on recommender systems have focused on an accurate recommendation. However, there are some problems to overcome in order for the recommendation system to be commercially successful. First, there is a lack of transparency in the recommender system. That is, users cannot know why products are recommended. Second, the recommender system cannot immediately reflect changes in user preferences. That is, although the preference of the user's product changes over time, the recommender system must rebuild the model to reflect the user's preference. Therefore, in this study, we proposed a recommendation methodology using topic modeling and sequential association rule mining to solve these problems from review data. Product reviews provide useful information for recommendations because product reviews include not only rating of the product but also various contents such as user experiences and emotional state. So, reviews imply user preference for the product. So, topic modeling is useful for explaining why items are recommended to users. In addition, sequential association rule mining is useful for identifying changes in user preferences. The proposed methodology is largely divided into two phases. The first phase is to create user profile based on topic modeling. After extracting topics from user reviews on products, user profile on topics is created. The second phase is to recommend products using sequential rules that appear in buying behaviors of users as time passes. The buying behaviors are derived from a change in the topic of each user. A collaborative filtering-based recommendation system was developed as a benchmark system, and we compared the performance of the proposed methodology with that of the collaborative filtering-based recommendation system using Amazon's review dataset. As evaluation metrics, accuracy, recall, precision, and F1 were used. For topic modeling, collapsed Gibbs sampling was conducted. And we extracted 15 topics. Looking at the main topics, topic 1, top 3, topic 4, topic 7, topic 9, topic 13, topic 14 are related to "comedy shows", "high-teen drama series", "crime investigation drama", "horror theme", "British drama", "medical drama", "science fiction drama", respectively. As a result of comparative analysis, the proposed methodology outperformed the collaborative filtering-based recommendation system. From the results, we found that the time just prior to the recommendation was very important for inferring changes in user preference. Therefore, the proposed methodology not only can secure the transparency of the recommender system but also can reflect the user's preferences that change over time. However, the proposed methodology has some limitations. The proposed methodology cannot recommend product elaborately if the number of products included in the topic is large. In addition, the number of sequential patterns is small because the number of topics is too small. Therefore, future research needs to consider these limitations.

• Korean Institute of Interior Design Journal
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• v.22 no.2
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• pp.220-229
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• 2013

Recently, the volume of knowledge information in the form of electronic media is quickly increasing in the library field along with the advancement of electronic communication technology. Libraries have both printed data and electronic data and are faced with the issue of corresponding with the access and use of knowledge information in terms of the space. This study is for building the layout of a sustainable knowledge information space based on the view that the library is the official infrastructure of the knowledge information based society. It is intended to analyze the meaning of knowledge information in the modern society, characteristics in the spatial organization and the transmission of knowledge information. The goal of this study is to understand and forecast the spatial structure where users access knowledge information and exchange with one another and developing the direction and guidelines for the spatial plan that today's libraries prefer through this analysis. For this, this study firstly prepared the base for the research on library space which can be considered as the physical realization of such concepts, through the theoretical review about the knowledge information and social concepts as well as characteristics of modern society. Also, it seized the characteristics in the transmission of knowledge information by conducting a structural analysis of the information service such as knowledge information and space, space and information media, space and space through the cases of 10 public libraries. The analysis resulted in basic data including the system of organizing knowledge information, system of knowledge information transferring elements and structure, and layout pattern of each library. These results are deemed meaningful for the promotion of communication with the user through the exchange, creation, and experience of knowledge information, the social role of today's public library.

• International Journal of Concrete Structures and Materials
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• v.10 no.4
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• pp.461-478
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• 2016

This paper aims to provide guidelines for the numerical modeling of reinforced concrete (RC) frame elements in order to assess the seismic performance of structures. Several types of numerical models RC frame elements are available in nonlinear structural analysis packages. Since these numerical models are formulated based on different assumption and theories, the models accuracy, computing time, and applicability vary, which poses a great difficulty to practicing engineering and limits their confidence in the analysis resultants. In this study, the applicability of four representative numerical models of RC frame elements is evaluated through comparison with experimental results of four-storey bare frame available from European Laboratory for Structural Assessment. The accuracy of a numerical model is evaluated according to the top displacement, interstorey drift, Maximum storey shear, damage pattern and energy dissipation capacity of the frame structure. The results obtained allow a better understanding of the characteristics and potentialities of all procedures, helping the user to choose the best approach to perform nonlinear analysis.

• Journal of the Korean Society of Clothing and Textiles
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• v.42 no.3
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• pp.428-437
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• 2018

This study derives evaluation terms by analyzing the semantic relationship between design elements and sentiment terms in regards to fashion design. As for research methods, a total of 38,225 texts from Daum and Naver Blogs from November 2015 to October 2016 were collected to analyze the parts, frequency, centrality and semantic networks of the terms. As a result, design elements were derived in the form of a noun while fashion image and user's emotional responses were derived in the form of adjectives. The study selected 15 noun terms and 52 adjective terms as evaluation terms for men's striped shirts. The results of semantic network analysis also showed that the main contents of the users of men's striped shirts were derived as characteristics of expression, daily wear, formation, and function. In addition, design elements such as pattern, color, coordination, style, and fit were classified with evaluation results such as wide, bright, trendy, casual, and slim.

• Proceedings of the KSRS Conference
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• 2002.10a
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• pp.775-779
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• 2002

Currently, high-resolution satellite imagery such as KOMPSAT and IKONOS has been tentatively utilized to various types of urban engineering problems such as transportation planning, site planning, and utility management. This approach aims at software development and followed applications of remotely sensed imagery to transportation geographic analysis. At first, GDPA (Gradient Direction Profile Algorithm) and main modules in it are overviewed, and newly implemented results under MS visual programming environment are presented with main user interface, input imagery processing, and internal processing steps. Using this software, road network are automatically generated. Furthermore, this road network is used to transportation geographic analysis such as gamma index and road pattern estimation. While, this result, being produced to do-facto format of ESRI-shapefile, is used to several types of road layers to urban/transportation planning problems. In this study, road network using KOMPSAT EOC imagery and IKONOS imagery are directly compared to multiple road layers with NGI digital map with geo-coordinates, as ground truth; furthermore, accuracy evaluation is also carried out through method of computation of commission and omission error at some target area. Conclusively, the results processed in this study is thought to be one of useful cases for further researches and local government application regarding transportation geographic analysis using remotely sensed data sets.