• 한국경제지리학회지
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• 제15권4호
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• pp.642-659
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• 2012

이 논문의 목적은 2000년대 중반이후 부각된 클러스터와 지역혁신체계의 '세계적-지방적 연결성'(global-local connectivity) 개념에 초점을 두고 3가지 측면에서 이론적 쟁점들을 고찰하는 데 있다. 첫째, 클러스터, 로컬 버즈(local buzz), 글로벌 파이프라인(global pipeline) 간의 관계를 중심으로 '지리적 근접성'(geographical proximity)이 지역산업 발전에 미치는 중요성에 관하여 논한다. 둘째, 세계적-지방적 연결성의 매개 고리로 작용하는 '지식 문지기'(knowledge gatekeeper)와 '일시적 클러스터'(temporary cluster) 개념을 살펴본다. 마지막으로, 세계적-지방적 연결성 개념이 지니는 정책적 함의를 제시하고자 한다. 이 논문에서 필자들은 다음과 같이 주장한다. 첫째, 지리적 근접성에 기초한 지역산업 클러스터를 더욱 활성화시키기 위해서 공간적 범위를 초월한 관계적 근접성이 확보되어야 한다. 이는 지역산업 클러스터 발전을 위해서 '지리적 편리성'과 '지리적 불편성'이 동시에 필요함을 의미한다. 둘째, 세계적-지방적 연결성의 토대는 사회자본과 착근성이며, 이는 관계적 접근성이 다양한 공간 규모에서 나타나는 문화와 관습에 정착한다는 점을 이해할 필요가 있다. 마지막으로, 세계적-지방적 연결성 맥락에서 기업 간 분업의 공간적 위계를 극복하기 위해서 클러스터의 개방성과 폐쇄성, 세계적-국가적 차원에서 기업 간 공간분업의 수직적 수평적 위계성, 클러스터 발전에 있어서 중앙 또는 지방정부의 정책적 포섭과 배제의 범위 등이 복합적으로 고려될 필요가 있다.

• 한국도로학회논문집
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• 제11권2호
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• pp.55-66
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• 2009

본 논문은 지속가능한 개발 및 도시 내 균형발전의 관점에서 시행된 서울시 청계천복원사업이 도심부 보행네트워크에 미치는 영향을 파악하고자 하였다. 복원 전과 후의 보행네트워크를 Space Syntax를 이용하여 Global Integration 및 Local Integration의 변화 정도를 살펴보았으며, 동서축과 남북축의 주요 가로를 대상으로 비교 분석하여 영향력의 차이를 확인하였다. Global Integration의 경우 복원 전에는 동서축으로 높게 나타나는데 반해 복원 후 돈화문로, 삼일로의 위계가 커지면서 보행네트워크가 공간적으로 균형 있게 분포하는 것을 알 수 있었다. 한편 Local Integration의 경우 업무 및 상업용도가 주를 이루는 태평로$\sim$삼일로 구간에서는 복원 전 삼일로 방면으로 집중되던 네트워크가 복원 후 동서, 남북축 가로의 연결성이 모두 향상되었다. 공구상가가 중심을 이루는 삼일로$\sim$배오개길 구간에서는 네트워크의 큰 차이는 없으나 전체적으로 통합도가 향상되었다. 또한 시장이 주를 이루는 배오개길$\sim$동대문운동장 구간에서는 복원사업 후 청계천로의 연결성이 크게 향상됨을 알 수 있었다. 따라서 청계천복원사업에 따른 영향은 전체적으로 남북축과 동서축 접근이 균형적으로 이루어지게 하였으며, 지역적으로 남북축 연결성의 높은 향상이 이루어짐과 동시에 동서축의 연결성 향상에도 기여함을 알 수 있다.

• ETRI Journal
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• 제37권2호
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• pp.262-272
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• 2015

In particular, for a practical mobile robot team to perform such a task as that of carrying out a search and rescue mission in a disaster area, the network connectivity and localization have to be guaranteed even in an environment where the network infrastructure is destroyed or a Global Positioning System is unavailable. This paper proposes the new collective intelligence network management architecture of multiple mobile robots supporting seamless network connectivity and cooperative localization. The proposed architecture includes a resource manager that makes the robots move around and not disconnect from the network link by considering the strength of the network signal and link quality. The location manager in the architecture supports localizing robots seamlessly by finding the relative locations of the robots as they move from a global outdoor environment to a local indoor position. The proposed schemes assuring network connectivity and localization were validated through numerical simulations and applied to a search and rescue robot team.

• 농촌계획
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• 제20권4호
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• pp.127-135
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• 2014

The purpose of this study is to show the relation of the change between spacial structure and social conditions of rural area. The spacial structure change of Asan city was analyzed using Space Syntax, and multiple regression analysis (dependent variables: connectivity, global integration, local integration / independent variables: population, household, farm population, farm population of 65years old and over, farm household, part-time farm households, cultivated land) was accomplished. As th result, that the increase of connectivity is related to the increase of population and farm population of 65years old and over and the decrease of farm population, and the increase of local integration is related to the increase of farm population of 65years old and over was showed. However, that global integration is not related to change of social conditions was proved.

• 제어로봇시스템학회논문지
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• 제19권12호
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• pp.1132-1137
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• 2013

In swarm robot systems, it is vital to maintain network connectivity to ensure cooperative behavior between robots. This paper deals with the behavior control algorithm of the swarm robots for maintaining network connectivity. To do this, we divide swarm robots into search-robots, base-robots, and relay-robots. Using these robots, we propose behavior control algorithm to maintain network connectivity. The behavior control algorithms to maintain network connectivity are proposed for the local path planning using virtual force and global path planning using the Delaunay triangulation, respectively. Finally, we demonstrate the effectiveness and applicability of the proposed method through some simulations.

• 농촌계획
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• 제10권4호
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• pp.19-28
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• 2004

In order to revitalize rural areas fundamentally through multifunctional utilization of their resources, it should be necessary to prepare the rational development plan to the areal characteristics and conditions, and the first priority of its planning works should be given to spatial planning. The space syntax method, a powerful objective and quantitative analysis tool on the relationship between social and spatial characteristics, was introduced in this study. Five Comprehensive Rural Clustered Villages Development Areas in the Jeonnam-province were selected as case study areas, of which total area's and included villages' spatial variables were measured and analyzed. Rural villages analyzed in this study have the spatial structure badly systematized and much complicated, which results from low integration and deep spatial depth of them. And, by virtue of relatively many axial lines, there should be few differences between villages in terms of local integration, connectivity and control, while being significant difference in terms of global integration showing the whole areal characteristics. Intelligibility, the correlation coefficient between connectivity(local variable) and integration(global one) is low, which means that the spatial structure of the study areas is difficult for visitors to understand the area or village well. Spatial configuration analysis results in the case study areas showed that each development area has a unique spatial structure and is differentiated in terms of not only local spatial variables but also global spatial variables. Therefore, global and local characteristics should be considered in spatial analysis of development areas.

• Investigative Magnetic Resonance Imaging
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• 제15권2호
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• pp.110-122
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• 2011

목적 : 본 연구의 목적은 확산텐서영상에 기반하여 한국 아동 집단의 해부학적 뇌연결성 지도를 확립하고 뇌신경망의 효율성을 평가하는 기법을 개발하는 것이다. 대상 및 방법 : 건강한 아동 12명에서 얻은 확산텐서영상과 뇌구획영상을 바탕으로 구조 연결 행렬을 구하여 집단의 구조 연결성을 평가하였다. 일표본 t-검정을 시행하여 평균적인 구조 연결성을 파악하였고 이 때 얻은 각 피험자의 백질 다발을 표준공간으로 정규화하여 집단의 해부학적 뇌연결망 지도를 확립했다. 뇌신경망의 군집정도(clustering coefficient), 평균이동거리(characteristic path length), 전체/부분 연결망 효율성(global/local efficiency) 등 연결망 속성을 계산한 후 시각화 하였다. 결과 : 연결망 측면에서 한국 아동 집단의 뇌연결성이 작은세상속성을 가짐을 밝혔다. 또한 해부학적 뇌연결망 지도를 얻었는데 대뇌 반구 내의 연결성이 높게 나타남과 뇌간과 운동/감각 영역간에 많은 신경 연결이 집중되어 있음을 확인하였다. 결론 : 한국 아동 집단의 해부학적 뇌연결망 지도를 작성하는 방법론을 제시하여 뇌를 연결성 측면에서 이해하고 발달 장애와 성인 뇌신경망의 효율성을 평가할 수 있는 기본 도구를 확립하게되었다.

• 제어로봇시스템학회논문지
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• 제13권7호
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• pp.624-630
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• 2007

The dynamic window approach(DWA) is a well known technique for reactive collision avoidance. It shows safe and efficient performance in real-world experiments. However, a robot can get stuck in local minima because no information about the connectivity of the free space is used to determine the motion. The global DWA can solve this problem of local minima by adding a navigation function. Even with the global DWA, it is still difficult for a robot to execute an abrupt change in its direction, for example, entering from the corridor to a doorway. This paper proposes a modified global DWA using the included angles of waypoints extracted from an optimal path. This scheme enables the robot to decelerate in advance before turning into the doorway. Therefore the robot can reach the goal position more safely and efficiently at high speeds.

• Journal of information and communication convergence engineering
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• 제11권2호
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• pp.69-81
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• 2013

Maintaining connectivity is essential in multi-hop wireless networks since the network topology cannot be pre-determined due to mobility and environmental effects. To maintain the connectivity, a critical point in the network topology should be identified where the critical point is the link or node that partitions the network when it fails. In this paper, we propose a new critical point identification algorithm and also present numerical results that compare the critical points of the network and H-hop sub-network illustrating how effectively sub-network information can detect the network-wide critical points. Then, we propose two localized topological control resilient schemes that can be applied to both global and local H-hop sub-network critical points to improve the network connectivity and the network resilience. Numerical studies to evaluate the proposed schemes under node and link failure network conditions show that our proposed resilient schemes increase the probability of the network being connected in variety of link and node failure conditions.

• 감성과학
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• 제20권4호
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• pp.101-112
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• 2017

We investigated the neural representation of reward probability recognition and its neural connectivity with other regions of the brain. Using functional magnetic resonance imaging (fMRI), we used a simple guessing task with different probabilities of obtaining rewards across trials to assay local and global regions processing reward probability. The results of whole brain analysis demonstrated that lateral prefrontal cortex, inferior parietal lobe, and postcentral gyrus were activated during probability-based decision making. Specifically, the higher the expected value was, the more these regions were activated. Fronto-parietal connectivity, comprising inferior parietal regions and right lateral prefrontal cortex, conjointly engaged during high reward probability recognition compared to low reward condition, regardless of whether the reward information was extrinsically presented. Finally, the result of a regression analysis identified that cortico-subcortical connectivity was strengthened during the high reward anticipation for the subjects with higher cognitive impulsivity. Our findings demonstrate that interregional functional involvement is involved in valuation based on reward probability and that personality trait such as cognitive impulsivity plays a role in modulating the connectivity among different brain regions.