• 한국정책학회보
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• v.21 no.2
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• pp.1-31
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• 2012

본 연구는 정책학의 학문적 정체성을 정의·분류하고, 학문적 정체성의 하위차원에서 도출된 연구 질문과 기존 연구에서 제기된 논쟁점에 대해 학문공동체와 기존 연구들이 어떻게 논의하고 있는지를 정리하였다. 이러한 논의를 통하여 정책학의 정체성이 무엇이고 어떤 상태에 있는지, 연구 노력과 활동이 정체성 정립에 기여했는지, 학문적 정체성 구축을 위한 연구 함의는 무엇인지를 파악하고자 한다. 본 연구의 학문적 정체성은 '독자적이고 고유한 이론체계와 방법론 및 연구 대상과 범위를 가지고 있으면서(과학적 정체성) 경계에 따라 차이가 있고 구별되는 독특한 특징을 고민하면서(경계정체성) 공동체를 구성하여 학문의 영역과 미래를 회고·전망하는 것(집단정체성)'으로 규정하였다. 즉 정책학의 학문적 정체성은 세 가지 하위 차원과 각각의 구성요소(패러다임, 한국화, 공동체 활동 등)로 이루어져 있다. 정책학의 학문적 정체성을 종합적으로 판단하면 다음과 같다. 정책의 개념 정립과 이론 구축 등의 멀고 성가신 길을 회피하는 경향이 있는 것으로 판단하여 과학적 정체성 수준은 매우 낮고 그 구축은 요원하다고 하겠다. 빈약한 또는 잘못된 정책 개념을 극복하고 정당한 과정을 거친 개념 규정이 우선적으로 필요할 것이다. 정책학의 한국화에 대한 연구 요청 대(對) 무용론이나 연구 축적은 거의 없다는 비판 등이 대치하고 있는 것으로 판단하여 경계 정체성에 대한 위기를 인식하고 있지만 지속적인 관심과 연구 축적이 필요하다고 하겠다. 학문공동체를 구성하여 (한국)정책학의 위치와 미래에 대해 회고·전망의 장을 열고 있지만 공동체의 목적인 근본적 문제 등에 관한 자극은 부족한 것으로 판단하였다. 구성원들의 응집력은 한국화 등에 대한 공동 노력이 시도되고 있는 반면, 개념 구성 등에 대한 그것은 알려진 것이 드물다. 따라서 집단정체성은 과학적 정체성의 공유(자극, 공동노력, 응집력)는 상대적으로 부족하고 경계정체성의 공유는 시도 단계에 있다고 볼 수 있다. 개념 정립, 이론 구축 등과 같은 과학적 정체성에 대한 연구는 위험이 따르기 때문에 개인적 시도보다는 학문공동체의 관심과 자극이 수반된 공동 노력으로 연구될 필요가 있다고 하겠다.

• The Journal of the Korea institute of electronic communication sciences
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• v.8 no.8
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• pp.1155-1160
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• 2013

The rapid growth of smart phones has made location-based services (LBSs) widely available. However, the use of LBS can raise privacy issues, as LBS can allow adversaries to violate the location privacy of users. There has been a considerable amount of research on preserving user location privacy. Most of these studies try to preserve location privacy by achieving what is known as location K-anonymity. In this paper, we propose a hierarchical clustering-based spatial cloaking algorithm for LBSs. The proposed algorithm constructs a tree using a modified version of agglomerative hierarchical clustering. The experimental results show, in terms of the ASR size, that the proposed algorithm is better than Hilbert Cloak and comparable to RC-AR (R-tree Cloak implementation of Reciprocal with an Asymmetric R-tree split). In terms of the ASR generation time, the proposed algorithm is much better in its performance than RC-AR and similar in performance to Hilbert Cloak.

• The Journal of Society for e-Business Studies
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• v.16 no.2
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• pp.1-18
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• 2011

Context-aware computing aims to enable the on-line applications and services to be executed in a timely and automated manner. Many of such applications and services involve group-level interactions. For more smoothing communication within a community, specific group-level issues such as group dynamics must be considered. To do so, obtaining group-level contexts such as the role, conflict resolution and norms, are key ingredients to improve group performance. Since group context is not the same as a simple summation of individual context, as group is not just a simple set of individuals, awaring individual context is not sufficient for group-level communication support. However, context-aware computing research still has stressed more on individual context. This leads us to the motivation of searching for group context aware method. Hence, the of this paper is to propose a novel methodology which automatically recognizes group context. Especially, we focus on group conhesiveness in this paper just because group cohosiveness is one of the important variables to control the performance of group interaction. To verify the applicability of the proposed method, an empirical test has been conducted to compare the performance of the proposed methodology with that of conventional methods.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.9
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• pp.474-481
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• 2018

The policy-making and technological development of eco-friendly automobiles designed to increase their supply is ongoing, but the internal combustion engine still accounts for approximately 95% of automobiles in use. To meet the stricter emission regulations of internal combustion engines based on fossil fuels, the proportion of after-treatments for vehicles and (ocean going) vessels is increasing continuously. As diesel engines have high power and good fuel economy in addition to less CO2 emissions, their market share is increasing not only in commercial vehicles, but also in passenger cars. Because of the characteristics of the diesel combustion, however, NOx is generated in localized high-temperature combustion regions, and particulates are formed in the zones of diffusion combustion. LNT and urea-SCR catalysts have been developed for the after-treatment of exhaust gas to reduce NOx in diesel vehicles. This study examined the effect of a containing promoter on SCR catalysts to cope with the severe exhaust gas regulation. The de-NOx performance of the Mn-SCR catalyst was the best, and the de-NOx performance was improved as the ion exchange rate between Mn ion and Zeolyst was good and the activation energy was low. The de-NOx performance of the 7Cu-15Ba/78Zeoyst catalyst was 32% at $200^{\circ}C$ and 30% at $500^{\circ}C$, and showed the highest performance. The NOx storage material of BaO loaded as a promoter was well dispersed in the Cu-SCR catalyst and the additional de-NOx performance of BaO was affected by the reduction reaction of the Cu-SCR catalyst. Among the three catalysts, the 7Cu-15Ba/Zeolyst SCR catalyst was resistant to thermal degradation. The same type of CuO due to thermal degradation migrates and agglomerates because BaO reduces the agglomeration of the main catalyst CuO particles.