• Journal of Advanced Navigation Technology
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• v.15 no.1
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• pp.124-129
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• 2011

In the process of cooperation which can be the best proposals for resolving complex problems in computing domain, the way of team organizing is one of the most important aspects for succeeding the goal. Especially in ubiquitous computing environment, where the participants of a team are selected from the heterogeneous computing objects which are deployed by other providers for their own goals, finding the relevant teammate can be regarded as the most important factor for determining the success or failure of the given problem. In this paper, we propose a method of finding teammate and assigning a role, which is a sub task of cooperation, by comparing the attributes of the computing object and the requirement of the role such as capability of functions, loyalty for the given team, and harmony with other teammates. By considering the situationally changing weights of each attributes, this method can be suited for dynamic computing environment where the cooperation should be executed with dynamically in/out computing objects and satisfy the dynamically chaining constraints.

• Journal of the Society of Naval Architects of Korea
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• v.36 no.1
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• pp.82-89
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• 1999

A designer must make a lot of decisions in a design process. The decisions may be classified into selection decisions and compromise decisions. As the results of two decisions depends on the designer's intention it is necessary that the designer's intention should be reflected in the design systematically and precisely. As the AHP(Analytic Hierarchy Process) technique analyzes and evaluates a obscure selection problem hierarchically, designer's intention can be reflected in the design systematically. Also as qualitative attributes can be rated at quantitative criterion the designer's intention can be reflected consistently. Usually an engineering problem is a coupled problem in which a designer must select one alternative from a set of alternatives and find optimal characteristics of the alternative concurrently. As considered attributes are functions of the compromise system variables and the attributes's units and orders are different each other, attribute ratings must be normalized. This paper introduces a neural network at this normalization. So the attribute ratings can reflect designer's intention and the knowledge from his(her) experience automatically.

• Journal of the Korea Convergence Society
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• v.8 no.11
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• pp.233-240
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• 2017

In recent years, graphics authoring tools have evolved into a variety of formats in line with the rapidly changing digital design field. However, in the field of interface design, screen shape and size depending on the user's environment, it needs more flexible and scalable authoring tools. Along with the emergence of variety of new tools, work processes are also changing. This study investigates what kinds of graphic authoring tools are currently used by designers and compared the result to the case of overseas and examined the difference in the environment of graphic authoring tool. This study looked at criteria and satisfaction of designers choosing authoring tools and how the choice depends on the type of company we are working in and the type of project we are involved in. Research shows that the choice of authoring tools depends on the type and efficiency of the project. Based on this, a reference is provided to establish the standard and working environment for designers and companies to select graphic authoring tools and propose the future direction of graphic authoring tool environments.

• The KIPS Transactions:PartB
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• v.10B no.7
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• pp.795-802
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• 2003

To live autonomously, intelligent agents such as robots or virtual characters need ability that recognizes given environment, and learns and chooses adaptive actions. So, we propose an action selection/learning mechanism in intelligent agents. The proposed mechanism employs a hybrid system which integrates a behavior-based method using the reinforcement learning and a cognitive-based method using the symbolic learning. The characteristics of our mechanism are as follows. First, because it learns adaptive actions about environment using reinforcement learning, our agents have flexibility about environmental changes. Second, because it learns environmental factors for the agent's goals using inductive machine learning and association rules, the agent learns and selects appropriate actions faster in given surrounding and more efficiently in extended surroundings. Third, in implementing the intelligent agents, we considers only the recognized states which are found by a state detector rather than by all states. Because this method consider only necessary states, we can reduce the space of memory. And because it represents and processes new states dynamically, we can cope with the change of environment spontaneously.

• Korean Journal of Materials Research
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• v.9 no.3
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• pp.257-262
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• 1999

The selective area growth of GaN by metal organic chemical vapor deposition has been carried out on GaN/ sapphire substrate using $SiO_2$ mask. We investgated the effect of growth parameters such as flow rate of $NH_3$(500­~1300sccm) and the growth temperature(TEX>$950~1060^{\circ}C$) on the growth selectivity and characteristics of GaN using the Scanning Electron Microscopy(SEM). The selectivity of GaN improved as flow rate of NH, and growth temperature in­creased. But the grown GaN shapes on the substrate windows was independent of the flow rate of $NH_3$. On the pattern shapes such as circle, stripe, and radiational pattern(rotate the stripe pattern by $30^{\circ}, 45^{\circ}$), we observed the hexagonal pyramid, the lateral over growth on the mask layer, and the difference of the lateral growth rate depending on growth condition.

• Korean Journal of Construction Engineering and Management
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• v.20 no.3
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• pp.77-85
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• 2019

Reconstruction and remodeling have been introduced as a part of renewal (redevelopment) projects for old apartments built after the mid-1970's and government policies for revitalizing each project has been changed continually. However, the frequent changes of the policies have caused conflicts among business entities in selecting business methods. The conflicts from their early stages have made serious problems in the entire business process. Therefore, this study deduced factors of business selection by applying comparison analysis between the two business projects on how certain factors have an influence on selecting reconstruction and remodeling business projects. Based on the analysis, four categories and 26 factors were finally selected. After then, the priority of each selection factor was deduced through the AHP method and PROMETHEE method used for analysis of relative importance and impact values regarding to the business selection.

• Korean Journal of Legislative Studies
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• v.24 no.3
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• pp.29-54
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• 2018

Focusing on vastly different results between two presidential elections in 2012 and 2017, this paper examines how political attitudes of conservative voters had changed in 5 years and how these changes had brought about differences in their vote choices in 2017. Using panel data encompassing two presidential elections, this paper finds that, though ideological and affective evaluation of conservative parties and candidates had indeed deteriorated among supporters of Park Geun-Hye in 2012, it is candidate factors rather partisan ones that exerted much more significant influence on their vote choices in 2017. In addition it is found that the differentiation in political and economic policy preferences among conservative voters had only slight influence on their voted choices in 2017. This paper concludes with discussing how to understand the result of the $19^{th}$ presidential elections and what implications it has in prospecting the party realignment in Korean electoral politics.

• Journal of the Korean association of regional geographers
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• v.13 no.4
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• pp.381-395
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• 2007

After the democratization process since 1988, the national scale voting behavior in congressional elections has changed from a rural-government party and urban-opposite party connection to a political regionalism oriented pattern. In this context, the case study with provincial border regions aims to investigate possible party identification change of the region, and to find a relationship between polling score ratio and socio-political characteristics of the candidates. As a result, Yeongdong shows a strong negation to the presumed Chungcheong local party and shows a continuous party identification with the Kyungsang local party. Muju reveals a more or less weakened identification with the Jeolla local party, on the contrary, Kimcheon shows a unchanged strong identification with the Kyungsang local party. The regional neighborhood effect was verified quite partly between the subdivision districts of the border regions. With a application of linear fitting method, it is certified that voters have attached great importance to the belonging party, native place, as well as political career of the candidates as a voting criterion.

• Journal of Korean Society of Transportation
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• v.19 no.3
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• pp.19-32
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• 2001

A parking facility choice model. which can be applied to analyze of the driver's parking behavioral changes in response to the local government's parking policy changes and to predict parking demand by the facility types, is developed. Under the context of the stated preference discrete choice model, socioeconomic variables and parking alternative characteristic variables are introduced as explanatory variables. A parking facility choice model for the shopping trip purpose is derived using multinomial logit model and nested logit model and the stated preference data collected in Taegu metropolitan area. The result shows that the sign of all the estimated parameters are logically consistent and the model's goodness of fit is reasonably good. As a result of the elasticity analysis of the model, the elasticity of parking cost is highest, and the elasticity of walking distance between parking place and the destination is higher than parking place searching and ingress time. This means that the parking places are supplied around the destination in the form of small-size parking place. The findings in this study is expected to provide a fundamental data for various short-term parking policy analyses and for parking facility's demand estimations.

• KIPS Transactions on Computer and Communication Systems
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• v.6 no.9
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• pp.369-376
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• 2017

Recently, an RSSI-based fingerprinting localization technology has been widely used in indoor location-based services. In the conventional fingerprinting method, as many APs as possible are used to increase the accuracy of location estimation. In another study, a part of APs having the strongest RSSI signal intensity are selected and used to reduce the time spent for positioning. However, it does not reflect the influence of RSSI occurred from the changes of the surrounding environments such as human movement or moving obstacles in a real environment. The environmental changes may cause the difference between the predicted RSSI signal strength value and the measured value, and thus occur an unpredictable error in the position estimation. Therefore, in order to mitigate the error caused by environmental factors, it is necessary to select APs suitable for indoor positioning estimation considering the changes in the surrounding environments. In this paper, we propose a method to select stable APs considering the influence of surrounding environments and derive a suitable positioning algorithm. In addition, we compare and analyze the performance of the proposed method with that of the existing AP selection methods through experiments.