• Spatial Information Research
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• v.23 no.5
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• pp.65-73
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• 2015

Newtown Business of Seoul had been performed to reduce deterioration of Gangbuk and economic inequality between Gangnam and Gangbuk. According to this, Eunpyeong-gu was set as test-bed for Newtown business and Newtown business had been completed until 2013. This study aims to analyze the influence of social and economical factors which affect land price using GWR (Geographically Weighted Regression) considered spatial effect. As a result of analysis, GWR model demonstrated a better goodness-of-fit than OLS (Ordinary least square) model typically used in most study. Furthermore, AIC value and Moran's I of residual prove that GWR model is more suitable than OLS model. GWR model enable to explain more detailed than global regression model as coefficient and sign show different value locally. In future, this research will be helpful to develop Eunpyeong-gu considering spatial characters and strength effectiveness of development.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.45 no.1
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• pp.48-54
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• 2008

MMORPGs may involve a great number of concurrent players, and those servers usually have to manage hundred, or even thousands of avatars co-existing in the same virtual world. So if failing to send a command or an event message, or sending it too late may cause damages to the avatar evolution(death, injury, loss of resources), and may result in unjustified penalties for the player. Many policies could be defined to realize a ranking evaluation of available servers. Unfortunately, due to the highly dynamic characteristics of server loads and network performances, any optimal allocation would soon become sub-optimal. In order to solve those problems we propose the "time-interval based fairness partitioning method"(TIP). TIP will distribute the avatar to the game server equally with time-interval in order to avoid the problems form the unfairness of game servers load.

• Journal of the Korean Data and Information Science Society
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• v.21 no.2
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• pp.279-289
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• 2010

In this study, we propose a simple statistical model for determining the admission or discharge of 668 patients with a chief complaint of dyspnea. For this, we use 11 explanatory variables which are chosen to be important by clinical experts among 55 variables. As a modification process, we determine the discharge interval of each variable by the kernel density functions of the admitted and discharged patients. We then choose the optimal model for determining the discharge of patients based on the number of explanatory variables belonging to the corresponding discharge intervals. Since the numbers of the admitted and discharged patients are not balanced, we use, as the criteria for selecting the optimal model, the arithmetic mean of sensitivity and specificity and the harmonic mean of sensitivity and precision. The selected optimal model predicts the discharge if 7 or more explanatory variables belong to the corresponding discharge intervals.

• Spatial Information Research
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• v.12 no.2
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• pp.211-228
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• 2004

The purpose of this study is to analyze the sales area of gas stations to see the quality and the efficiencies of spatial distribution structure for petroleum products in Tae-jeon City. Location pattern of gas station is classified by factors of competitive facilities, transportation, population and landuse in Tae-jeon City. As a result, High profit pattern and low profit pattern is classified. The characteristics of the distribution pattern of gas station are that the while densely populated has a small sales area, the thinly populated region has huge ones. Location-allocation model is used in order to minimize the travel distance from consumer location to gas station and balance the spatial distribution of gas station in case studies. The result reveals that the model-based locations of gas stations are more dispersed and balanced in the whole Tae-jeon City compared with the actual location of gas stations. This study shows the characteristics and spatial distribution patterns of sales area and location in petroleum products distribution facilities.

• Journal of the Korea Convergence Society
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• v.11 no.3
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• pp.19-26
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• 2020

In this paper, we propose a method to analyze the loss region of the dictionary-based super resolution result learned for image quality improvement and to map the learning data according to the analyzed loss region. In the conventional learned dictionary-based method, a result different from the feature configuration of the input image may be generated according to the learning image, and an unintended artifact may occur. The proposed method estimate loss information of low resolution images by analyzing the reconstructed contents to reduce inconsistent feature composition and unintended artifacts in the example-based super resolution process. By mapping the training data according to the final interpolation feature map, which improves the noise and pixel imbalance of the estimated loss information using a Gaussian-based kernel, it generates super resolution with improved noise, artifacts, and staircase compared to the existing super resolution. For the evaluation, the results of the existing super resolution generation algorithms and the proposed method are compared with the high-definition image, which is 4% better in the PSNR (Peak Signal to Noise Ratio) and 3% in the SSIM (Structural SIMilarity Index).

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• 2007.11a
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• pp.652-655
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• 2007

Due to stagnation of domestic market, increasing number of domestic construction companies started to make inroads into foreign market recently. Yet compared to domestic market, there are much more risks in the foreign market which companies may confront. So deliberate and rational decision making skills are required. Accordingly, there has been many researches which analyzed the risk of individual markets and also studies covering decision support models. In this study, we suggest a model concerning financial issues when branching out into a new market, specially in the construction companies' point of view. For this we used a real options game which shows real competition status of a new market and deduced a feature of that market, Upon these results, we also suggest a model which helps firms to decide whether investing in the expansion is smart action or not. The model developed in this study is made in specific circumstances of limited conditions. The future study makes more realistic models considering subjects like disproportion in information and generalization of competing companies.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.33 no.5B
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• pp.285-295
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• 2008

Internet routers perform packet forwarding which determines a next hop for each incoming packet using the packet's destination IP address. IP address lookup becomes one of the major challenges because it should be performed in wire-speed for every incoming packet under the circumstance of the advancement in link technologies and the growth of the number of the Internet users. Many binary search algorithms have been proposed for fast IP address lookup. However, tree-based binary search algorithms are usually unbalanced, and they do not provide very good search performance. Even for binary search algorithms providing balanced search, they have drawbacks requiring prefix duplication. In this paper, a new binary search algorithm which provides the balanced binary search and the number of its entries is much less than the number of original prefixes. This is possible because of composing the binary search tree only with disjoint prefixes of the prefix set. Each node has a prefix vector that has the prefix nesting information. The number of memory accesses of the proposed algorithm becomes much less than that of prior binary search algorithms, and hence its performance for IP address lookup is considerably improved.

• Korean Architects
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• no.12 s.368
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• pp.31-45
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• 1999

숨가쁘게 달려오던 한국사회는 문득 21세기의 문턱 앞에 서 있다. 지난 한 세기는 한국 뿐만 아니라 세계건축계에도 많은 변화와 발전이 있었다. 이렇다 할 준비없이 우리가 맞이하는 21세기는 정보와 문화가 주도할 것으로 예상된다. 새로운 밀레니엄에 대한 기대와 세기적 전환시대를 맞는 현 시점에서 그동안 한국건축은 급격한 경제성장과 아울러 새로운 서구적 건축의 유입으로 인해 우리는 건축문화에 대한 관심을 기울일 시간도 없이 양적인 성장을 계속해 왔다. 외래건축의 유입으로 인해 한국건축이 겪었던 문화적 충격은 단순한 문화적 충돌이 아니라 기존 도시구조의 대대적인 변형과 파괴에 시달려야 했으며, 이로 인한 불균형한 개발은 급조된 건축물을 생산하는 결과를 초래하게 되었고, 이와 함께 우리 건축문화의 모습은 기형적인 도시환경의 모습으로 대체되었다. 이러한 상황에서 다가올 21세기는 WTO세계무역기구의 발전과 더불어 국가간의 개방정책이 불가피하게 이루어지고 있으며, 이에 따라 사회 전분야에 걸쳐 새로운 시도는 빠르게 움직이고 있다. 건축분야 역시 문호 개방원칙에 따라 국가간 건축사자격 상호인증에 대한 각국간의 심도있는 논의와 그에 따른 교육 및 시험수준, 경력의 요구조건, 제반규제사항 등 각국의 상호 차이점에 대한 구체적인 협의가 올해 열린 UIA(세계건축사연맹) 북경 총회에서 승인되어 표준안이 공포되었다. 이에 따라 우리나라도 건축사자격 상호인증에 대한 대책 마련을 위해 공청회개최 등을 통해 본격적인 논의가 이루어지고 있다. 이제 우리 건축계도 새로운 세기를 맞는 시점에 서 있다. 이러한 상황에서 한국건축계는 급변하는 세계속에 우리의 건축문화를 계승 발전해야 할 과제를 안고 있다. 이에 본지에서는 밀레니엄 특집으로 '21세기 한국건축의 비전'이란 주제로 한국건축의 새천년의 미래를 내다보고 이를 통해 우리 건축이 담고 있는 현실과 문제의 실마리를 풀 수 있는 계기를 마련하고자 이번 특집이 계획되었으며, 또한 한국건축이 나아갈 바람직한 방향을 짚어 봄으로써 한국건축의 활로를 모색하고 세기적 전환시대를 맞는 우리 건축의 미래지향적 자료로 활용되었으면 한다.

• Informatization Policy
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• v.28 no.3
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• pp.23-48
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• 2021

ICT technology development has led to a breakthrough change in government decision making by improving mutual communication between various stakeholders. The formation of ICT-based cooperation network between public organizations and civic tech developers to solve the problem of masks in the COVID-19 pandemic serves as a milestone. The purpose of this study is to examine the properties of e-Governance and analyze the dynamic network structure of the communication process for chat rooms created during the development of public mask apps. First, as a result of the analysis, the possibility of online-based e-Governance can be identified. In addition, the combination of expertise to solve social problems interacted organically within the network. Emotional communication for cooperation between key actors was marked as important for the successful operation of the network.

• Journal of the Korea Convergence Society
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• v.10 no.7
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• pp.1-6
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• 2019

Modern society is undergoing nutritional imbalance according to the diet as the number of one person increases. This is increasing the incidence of chronic diseases such as gastrointestinal diseases and digestive diseases. This study suggests the prediction of dietary knowledge using multiple regression analysis for preventing chronic stomach diseases. The proposed method manages user's stomach diseases and dietary nutrition through the prediction of nutrition knowledge. It collects user's PHR through smart device and integrates in the health platform. The integrated data analyzes the dietary and activity of the user through multiple regression analysis. It predicts the required nutrients and provides services to users through applications. Therefore, it suggests recommended dietary components and consumed calories, appropriate dietary components based on the user's basal metabolism, and gastrointestinal levels. With the personalized health management, modern people can manage gastrointestinal diseases through a balanced diet.