• The Journal of the Korea Contents Association
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• v.8 no.12
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• pp.109-117
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• 2008

This research analyzed which average comparisons and differences between groups' view motive and selection for information sources, product properties with theater animation spectator. Based on view frequency, each of groups' organization were classified to heavy, occasional, and thinly viewers. As average comparison analysis result, firstly, view motive appeared in order to "want to see animation", "to spend time and leisure activity", "to enjoy fun activity", and "because of others canvassing or recommendation", etc. Secondly, view selection for information source appeared in order to "rumor circumstance or reputation", "theater or TV previews", "internet evaluation and grade", etc. At last, view selection for practical property appeared in order to "story", "character", "special effects", "background music", "background art", "director/directing", "manufacturer/nation", and "dubbing of artist". As difference between group result, view motive and selection for product properties appeared significant differences between each of group. To the contrary, view selection for information sources did not appeared significant differences between each of group.

• Journal of Information Processing Systems
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• v.2 no.2
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• pp.67-75
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• 2006

In order to acquire a precise and quick response to an analytical query, proper selection of the views to materialize in the data warehouse is crucial. In traditional view selection algorithms, all relations are considered for selection as materialized views. However, materializing all relations rather than a part results in much worse performance in terms of time and space costs. Therefore, we present an improved algorithm for selection of views to materialize using the clustering method to overcome the problem resulting from conventional view selection algorithms. In the presented algorithm, ASVMRT (Algorithm for Selection of Views to Materialize using Reduced Table), we first generate reduced tables in the data warehouse using clustering based on attribute-values density, and then we consider the combination of reduced tables as materialized views instead of a combination of the original base relations. For the justification of the proposed algorithm, we reveal the experimental results in which both time and space costs are approximately 1.8 times better than conventional algorithms.

• Journal of the Korean Institute of Landscape Architecture
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• v.36 no.1
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• pp.70-79
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• 2008

The purpose of this study is to construct the fundamental data for setting a valid viewpoint as the base of landscape planning and management practices. To do this, we analyzed the preceding dissertations and landscape plan reports which presented the selection criteria of viewpoint. 37 research samples containing the criteria of viewpoint were investigated. The selection criteria and trends of viewpoint were analyzed as follows : Firstly, by analyzing the preceding researches we were able to grasp the criteria that had been used to set viewpoint. Secondly, we investigated the differences in criteria of selecting the viewpoint according to the research type, research time and view object. Finally, we analyzed the trends of viewpoint selection criteria and classified the characteristics and selection criteria of viewpoint based on an overview of the research content. It can be concluded that the criteria of viewpoint are intimately linked to the view object, the purpose and role of viewpoint which is related to the landscape planning and management practices. According to this study, we can find that the selection criteria and trends of viewpoint have been used in the research related to the view plane following the 1990's. Hereafter, additional research and the comparisons with researches abroad is necessary to set the objective selection criteria of viewpoint.

• Journal of KIISE
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• v.44 no.12
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• pp.1319-1332
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• 2017

In recent years, the number of video cameras that are used to record and broadcast live sporting events has increased, and selecting the shots with the best view from multiple cameras has been an actively researched topic. Existing approaches have assumed that the background in video is fixed. However, this paper proposes a best view selection method for cases in which the background is not fixed. In our study, an athlete of interest was recorded in video during motion with multiple cameras. Then, each frame from all cameras is analyzed for establishing rules to select the best view. The frames were selected using our system and are compared with what human viewers have indicated as being the most desirable. For the evaluation, we asked each of 20 non-specialists to pick the best and worst views. The set of the best views that were selected the most coincided with 54.5% of the frame selection using our proposed method. On the other hand, the set of views most selected as worst through human selection coincided with 9% of best view shots selected using our method, demonstrating the efficacy of our proposed method.

• Journal of KIISE:Databases
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• v.31 no.6
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• pp.585-595
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• 2004

A query processing is a critical issue in data warehouse environment since queries on data warehouses often involve hundreds of complex operations over large volumes of data. Data warehouses therefore build a large number of materialized views to increase the system performance. Which views to materialized is an important factor on the view maintenance cost as well as the query performance. The goal of materialized view selection problem is to select an optimal set of views that minimizes total query response time in addition to the view maintenance cost. In this paper, we present an efficient solution for the materialized view selection problem. Although the optimal selection of materialized views is NP-hard problem, we developed a feasible solution by utilizing the characteristics of relational operators such as join, selection, and grouping.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2022.06a
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• pp.1207-1210
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• 2022

2D 이미지로부터 카메라의 위치 정보를 추정할 수 있는 Structure-from-Motion (SfM) 기술과 dense depth map 을 추정하는 Multi-view Stereo (MVS) 기술을 이용하여 2D 이미지에서 point cloud 와 같은 3D data 를 얻을 수 있다. 3D data 는 VR, AR, 메타버스와 같은 컨텐츠에 사용되기 위한 핵심 요소이다. Point cloud 는 보통 VR, AR, 메타버스와 같은 많은 분야에 이용되기 위해 mesh 형태로 변환된 후 texture 를 입히는 Texturing 과정이 필요하다. 기존의 Texturing 방법에서는 mesh의 face에 사용될 image의 outlier를 제거하기 위해 color 정보만을 이용했다. Color 정보를 이용하는 방법은 mesh 의 face 에 대응되는 image 의 수가 충분히 많고 움직이는 물체에 대한 outlier 에는 효과적이지만 image 의 수가 부족한 경우와 부정확한 카메라 파라미터에 대한 outlier 에는 부족한 성능을 보인다. 본 논문에서는 Texturing 과정의 view selection 에서 depth 정보를 추가로 이용하여 기존 방법의 단점을 보완할 수 있는 방법을 제안한다.

• The KIPS Transactions:PartD
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• v.11D no.2
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• pp.325-338
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• 2004

A data warehouse stores information that is collected from multiple, heterogeneous information sources for the purpose of complex querying and analysis. Information in the warehouse is typically stored In the form of materialized views, which represent pre-computed portions of frequently asked queries. One of the most important tasks of designing a warehouse is the selection of materialized views to be maintained in the warehouse. The goal is to select a set of views so that the total query response time over all queries can be minimized while a limited amount of time for maintaining the views is given(maintenance-cost view selection problem). In this paper, we propose an efficient solution to the maintenance-cost view selection problem using a genetic algorithm for computing a near-optimal set of views. Specifically, we explore the maintenance-cost view selection problem in the context of OR view graphs. We show that our approach represents a dramatic improvement in terms of time complexity over existing search-based approaches that use heuristics. Our analysis shows that the algorithm consistently yields a solution that only has an additional 10% of query cost of over the optimal query cost while at the same time exhibits an impressive performance of only a linear increase in execution time. We have implemented a prototype version of our algorithm that is used to evaluate our approach.

• The Transactions of the Korea Information Processing Society
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• v.7 no.8
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• pp.2273-2286
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• 2000

In order to acquire the precise and fast response for an analytical query, proper selection of the views to materialize in data warehouse is very crucial. In traditional view selection algorithms, the whole relations are considered to be selected as materialized views. However, materializing the whole relations rather than a part of relations results in much worse performance in terms of time and space cost. Therefore, we present an improved algorithm for selection of views to materialize using clustering method to overcome the problem resulted from conventional view selection algorithms. In the presented algorithm, ASVMRT(Algorithm for Selection of Views to daterialize using Iteduced Table). we first generate reduced tables in clata warehouse using automatic clustering based on attrihute-values density, then we consider the combination of reduced tables as materialized views instead of the combination of the original hase relations. For the justification of the proposecl algorithm. we show the experimental results in which both time and space cost are approximately 1.8 times better than the conventional algorithms.

• Korean Journal of Human Ecology
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• v.3 no.2
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• pp.13-26
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• 2000

The purpose of present study were to find the general trends of mate selecting factors and. marital satisfaction. concentrated on married women, to examine the difference among mate selection factors and marital satisfaction according to socio-demographic variables and Psychological variables and to analyze the effects of these variables influencing marital satisfaction. The subjects were 276 wives, living in Kwangju that having passed under S years after marriage without divorce experience. The major findings were as follows . 1. In mate selection, factor of high-degree was personality. view of value. personal relations, achievement, emotional mature. self-differentiation. degree of affection's expression. sense of humor, charms and condition of health Respondents'marital satisfaction score showed 91.75 and this score was higher than median score(62.5) 2. The external factor of mate selection showed significant difference according to degree of education. career. order. and sex-role attitude. The internal factor of mate selection showed significant difference according to degree of education, career, order, self-differentiation, self-esteem, and sex-role attitude 3. As correlating mate selectional factors to marital satisfaction, the significance appears in the mate's personality. view of value, emotional mature. personal relations. self-differentiation, condition of health. achievement. charm, sense of humor and degree of affection's expression. 4. Married women's marital satisfaction was influenced by self-esteem, personality and child's number that were explained about 38% by these variables. In conclusion, to happy marital life must be loved her own self. and above all considered internal factors like personality than external factors in mate selection.

• Journal of the Korean Institute of Rural Architecture
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• v.13 no.1
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• pp.9-20
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• 2011

This study is designed to examine characteristics and types of basic landscape design established by 7 local governments in Jeollanam-do and its availability as the index of landscape administration and present a guideline with view landscape plan of local governments. The results of this study are described below. In case of view landscape, while Korean cities have not many historical assets like landmark, they have locational characteristics with mountain or coast in the center or surroundings of downtown. Therefore, since view landscape has many cases of restricting individual property rights as well as having a value as public property of city which makes recognition of sharing city, it is very sensitive problem and establishing guideline of it is needed. But, it was found that view landscape plan of local governments established location of view spot with the nature of relief viewing downtown or coast from high spot. Selection of viewing objects in view plan require deciding an object as the public property of city and big cities require selection from the zone and small cities must select 1~2 spots from the viewpoint of whole downtown. 3~4 view spots of middle and distant views which makes city community centering around the subject of view must be selected through enough discussion and in case of natural landscape, View shaft or visible rays require setting of range that 30% of viewing objects is seen. View spot or viewing objects should be selected over twice as extra spots through public hearing and civil participation as the process.