• 제목/요약/키워드: Proximity-Based

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NOTE ON THE FUZZY PROXIMITY SPACES

  • Park, Kuo-Duok
    • Korean Journal of Mathematics
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    • 제10권2호
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    • pp.131-140
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    • 2002
  • This paper is devoted to the study of the role of fuzzy proximity spaces. We define a fuzzy K-proximity space, a fuzzy R-proximity space and prove some of its properties. Furthermore, we discuss the topological structure based on these fuzzy K-proximity and fuzzy R-proximity.

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FUZZY K-PROXIMITY MAPPING

  • Park, Kuo-Duok
    • Korean Journal of Mathematics
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    • 제14권1호
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    • pp.7-11
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    • 2006
  • This paper is devoted to the study of the role of fuzzy proximity spaces. We define a fuzzy K-proximally continuous mapping based on the fuzzy K-proximity and prove some of its properties.

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교통 기관 애드혹 네트워크 와 Proximity기반 서비스의 통합 (Integration of Proximity-based Services with Vehicular Ad-hoc Networks)

  • 엘하지 막타 디옵
    • 한국정보통신학회:학술대회논문집
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    • 한국정보통신학회 2015년도 춘계학술대회
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    • pp.126-129
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    • 2015
  • 최근 단말간 직접 통신이 가능한 단말대단말 통신 기술이 많은 관심을 받고 있다. 따라서 단말대단말 기술이 셀룰러 통신 시스템 및 차량 통신 시스템에 접목되고 있다. 본 논문에서는 Evolved Packet Core Network 기반 단말 탐색 시뮬레이터 개발에 대해서 살펴보고, Proximity기반 서비스의 차량간 애드혹 네트워크로의 적용 가능성에 대해서 살펴보았다. 개발된 시뮬레이터를 활용한 성능 분석을 통해서 유저들이 비슷한 위치에 모여 있는 환경, 즉대중교통과 비슷한 환경에서 LTE 네트워크의 트래픽이 Wi-Fi통해 단말대단말 통신으로 효율적으로 오프로딩될 수 있고 교통 관련 정보 멀티캐스팅에 효율적으로 활용될 수 있음을 보였다.

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UN 국가의 투표 성향 유사도 분석을 위한 Proximity based Circular 시각화 연구 (Proximity based Circular Visualization for similarity analysis of voting patterns between nations in UN General Assembly)

  • 최한민;문성민;하효지;이경원
    • 디자인융복합연구
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    • 제14권4호
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    • pp.133-150
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    • 2015
  • 본 연구는 1946년부터 2012년까지 총 5211건의 UN총회 투표데이터를 활용하여 국가 간의 관계를 기간별, 이슈별 등 다양한 관점에서 분석할 수 있는 인터랙티브(Interactive) 시각화 방법을 제안하였다. 연구를 위해 국가 간 유사도 매트릭스를 고안하고, 두 가지의 시각화 방법을 개발하였다. 첫 번째는 연도별로 UN 총회의 투표에 참여한 국가 간의 관계를 사회 연결망 그래프 형태로 표현한 네트워크 그래프(Network Graph)시각화이며, 두 번째는 특정 국가를 중심으로 다른 국가 간의 관계를 분석하거나 시간에 따른 국가 간의 투표 성향 변화를 동시에 분석할 수 있도록 고안된 Proximity based Circular 시각화이다. 본 연구는 기존의 투표 데이터를 활용한 분석 사례에서 시도되지 않았던 다양한 관점에서 네트워크 분석을 하기 위해 선과 원형 그래프가 결합된 Proximity based Circular 시각화를 제안하고 이를 구현하였다는 점에서 큰 의의가 있다. 또한 두 개의 시각화에 대한 비교 실험을 실시하여 각 시각화의 상호 보완점을 도출 하였다. 연구 결과로는 Proximity based Circular 시각화가 개별 국가 노드에 대한 정보를 더 잘 나타내며, 네트워크 그래프(Network Graph)시각화는 전체 데이터의 특성과 여러 데이터 간의 성향을 더 잘 나타낸다는 결과를 도출하였다. 따라서 UN국가의 투표 성향 데이터를 분석하기 위해서는 두 개의 시각화를 병행하여 사용하는 경우가 데이터 간의 관계 파악에 가장 도움이 된다는 결론을 제시하였다.

종방향 전기장 근접 감지 방식 수액 주입 측정 센서 (Intravenous Infusion Monitoring Sensor Based on Longitudinal Electric Field Proximity Sensing Technique)

  • 김영철;세이크 파이잘 아마드;김현덕
    • 센서학회지
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    • 제26권2호
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    • pp.101-106
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    • 2017
  • A novel intravenous (IV) infusion monitoring sensor is presented to measure the drop rate in the drip chamber of an IV infusion set. It is based on a capacitive proximity sensor and detects the variation of the longitudinal electric field induced by the drop falling into the drip chamber. Unlike the conventional capacitor sensor with two semi-cylindrical conductor plates, the proximity sensor for IV monitoring is composed of a pair of conductor rings which are mounted on the outer surface of the drip chamber with a specific gap between them. The characteristics of the proximity sensor for IV monitoring were investigated through three dimensional electrostatic simulations. It showed quite superior performances in comparison with the conventional capacitor sensor. Especially, the proposed proximity sensor exhibits consistent sensitivity regardless of its mounting position on the drip chamber, operates normally though the drip chamber is tilted and shows robustness to the changes of the drop size and the drip factor of the IV infusion set. Thus, the proximity sensor for IV monitoring is more suitable for use in actual environment of IV therapy compared with the conventional capacitor sensor.

수두 유행을 평가하기 위한 신규 지표 개발 (Developing a new index to assess varicella outbreak)

  • 양기욱;서인철
    • Journal of Yeungnam Medical Science
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    • 제34권2호
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    • pp.222-230
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    • 2017
  • Background: Varicella is the most common infectious disease reported despite the high vaccination rate. Interventions that target humans are particularly effective for varicella because humans are its only natural host. On the other hand, the existing national varicella surveillance systems lack the information to identify an outbreak. Therefore, a new index to assess varicella outbreaks was developed. Methods: The residential addresses of 2,718 varicella cases reported in Daegu in 2016 were converted to geographic coordinates and the distances between new varicella case and previous cases within 21 days were calculated from the date analyzed. Two cases were considered to be adjacent if the distance between them was less than 1 km. Finally, a proximity index was introduced by dividing the number of adjacent cases by the number of new cases on the date analyzed. Results: First, time-series charts and scatter plots were used to verify that the proximity index reflected the spatial closeness of the different varicella cases. The proximity index is helpful in identifying outbreaks from a list of single varicella cases. In addition, in this study, a new epidemic characteristic of varicella based on the proximity index was shown. Conclusion: The proximity index introduced in this study can be used to determine the likelihood of an outbreak from a single case of varicella, and it can be embedded in a web-based national varicella surveillance system that is currently in operation.

Laser Process Proximity Correction for Improvement of Critical Dimension Linearity on a Photomask

  • Park, Jong-Rak;Kim, Hyun-Su;Kim, Jin-Tae;Sung, Moon-Gyu;Cho, Won-Il;Choi, Ji-Hyun;Choi, Sung-Woon
    • ETRI Journal
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    • 제27권2호
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    • pp.188-194
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    • 2005
  • We report on the improvement of critical dimension (CD) linearity on a photomask by applying the concept of process proximity correction to a laser lithographic process used for the fabrication of photomasks. Rule-based laser process proximity correction (LPC) was performed using an automated optical proximity correction tool and we obtained dramatic improvement of CD linearity on a photomask. A study on model-based LPC was executed using a two-Gaussian kernel function and we extracted model parameters for the laser lithographic process by fitting the model-predicted CD linearity data with measured ones. Model-predicted bias values of isolated space (I/S), arrayed contact (A/C) and isolated contact (I/C) were in good agreement with those obtained by the nonlinear curve-fitting method used for the rule-based LPC.

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Systematic Elicitation of Proximity for Context Management

  • Kim Chang-Suk;Lee Sang-Yong;Son Dong-Cheul
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • 제6권2호
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    • pp.167-172
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    • 2006
  • As ubiquitous devices are fast spreading, the communication problem between humans and these devices is on the rise. The use of context is important in interactive application such as handhold and ubiquitous computing. Context is not crisp data, so it is necessary to introduce the fuzzy concept. The proxity relation is represented by the degree of closeness or similarity between data objects of a scalar domain. A context manager of context-awareness system evaluates imprecise queries with the proximity relations. in this paper, a systematic proximity elicitation method are proposed. The proposed generation method is simple and systematic. It is based on the well-known fuzzy set theory and applicable to the real world applications because it has tuning parameter and weighting factor. The proposed representations of proximity relation is more efficient than the ordinary matrix representation since it reflects some properties of a proximity relation to save space. We show an experiments of quantitative calculate for the proximity relation. And we analyze the time complexity and the space occupancy of the proposed representation method.

An Efficient Collision Queries in Parallel Close Proximity Situations

  • Kim, Dae-Hyun;Choi, Han-Soo;Kim, Yeong-Dong
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2005년도 ICCAS
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    • pp.2402-2406
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    • 2005
  • A collision query determines the intersection between given objects, and is used in computer-aided design and manufacturing, animation and simulation systems, and physically-based modeling. Bounding volume hierarchies are one of the simplest and most widely used data structures for performing collision detection on complex models. In this paper, we present hierarchy of oriented rounded bounding volume for fast proximity queries. Designing hierarchies of new bounding volumes, we use to combine multiple bounding volume types in a single hierarchy. The new bounding volume corresponds to geometric shape composed of a core primitive shape grown outward by some offset such as the Minkowski sum of rectangular box and a sphere shape. In the experiment of parallel close proximity, a number of benchmarks to measure the performance of the new bounding box and compare to that of other bounding volumes.

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Integrated System for Autonomous Proximity Operations and Docking

  • Lee, Dae-Ro;Pernicka, Henry
    • International Journal of Aeronautical and Space Sciences
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    • 제12권1호
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    • pp.43-56
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    • 2011
  • An integrated system composed of guidance, navigation and control (GNC) system for autonomous proximity operations and the docking of two spacecraft was developed. The position maneuvers were determined through the integration of the state-dependent Riccati equation formulated from nonlinear relative motion dynamics and relative navigation using rendezvous laser vision (Lidar) and a vision sensor system. In the vision sensor system, a switch between sensors was made along the approach phase in order to provide continuously effective navigation. As an extension of the rendezvous laser vision system, an automated terminal guidance scheme based on the Clohessy-Wiltshire state transition matrix was used to formulate a "V-bar hopping approach" reference trajectory. A proximity operations strategy was then adapted from the approach strategy used with the automated transfer vehicle. The attitude maneuvers, determined from a linear quadratic Gaussian-type control including quaternion based attitude estimation using star trackers or a vision sensor system, provided precise attitude control and robustness under uncertainties in the moments of inertia and external disturbances. These functions were then integrated into an autonomous GNC system that can perform proximity operations and meet all conditions for successful docking. A six-degree of freedom simulation was used to demonstrate the effectiveness of the integrated system.