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보행자 풍쾌적도 평가를 위한 풍속분포의 새로운 확률 접근법 : 버(Burr) 12종 분포
박범희(Park, Beomhee),공윤배(Kong, Yunbae),임준택(Lim, Juntack) 대한건축학회 2021 대한건축학회 학술발표대회 논문집 Vol.41 No.1
A new probabilistic approach employing the Burr type XII distribution is proposed for pedestrian wind comfort assessment. The distribution model was tested through Kolmogorov-Smirnov test and chi-squared test based on measured data from Seoul, Incheon and Busan. According to the test. The Burr type 12 distribution produced better fit than widely used Weibull distribution. In estimating the exceedance probability of wind speed, the Weibull distribution tends to underestimate the exceedance probability while the Burr type 12 distribution gives overestimated result. Therefore, conservative results can be obtained by applying the Burr type 12 distribution to evaluation pedestrian wind comfort assessment.
Incorporating Network Connectivity in Beacon Localization via Cost Function Minimization
Shinkyu Park,Jeongsik Choi,Jimin Kim,Beomhee Lee 동국대학교 정보융합기술원 2008 International Journal of Assistive Robotics and Sy Vol.9 No.4
In robot localization systems, sensor networks are often deployed for computing the robot’s positions. However, these systems require a prior knowledge of the positions of the beacons that form the sensor network. Range-only Simultaneous Localization and Mapping (SLAM) using robot-to-beacon range measurements has been one major approach to finding the positions of both the robot and the beacons in sensor networks. Other recent research has shown that by incorporating beaconto-beacon ranges that establish the connectivity between beacons into the SLAM algorithm, the beacon map obtained by SLAM can be improved. In order to improve the map with such connectivity, a method for incorporating established connectivity is needed. Thus, a cost function minimization approach that considers the entire connectivity concurrently and has low computational complexity is proposed here. The simulation results show that this approach improves the accuracy of estimated positions for both the robot and the beacons.
Incorporating Network Connectivity in Beacon Localization via Cost Function Minimization
Shinkyu Park,Jeongsik Choi,Jimin Kim,Beomhee Lee 한국과학기술원 인간친화 복지 로봇 시스템 연구센터 2008 International Journal of Assistive Robotics and Me Vol.9 No.4
In robot localization systems, sensor networks are often deployed for computing the robots's positions. However, these systems require a prior knowledge of the positions of the beacons that from the sensor network. Range-only Simultaneous Localization and Mapping(SLAM) using robot-to-beacon range measurements has been on major approach to finding the positions of both the robot and the beacons in sensor networks. Other recent research has shown that by incorporating beacon-to-beacon ranges that establish the connectivity between beacons into the SLAM algorithm, the beacon map obtained by SLAM can be improved. In order to improve the map with such connectivity, a method for incorporating established connectivity is needed. Thus, a cost function minimization approach that considers the entire connectivity concurrently and has low computational complexity is proposed here. The simulation results show that this approach improves the accuracy of estimated positions for both the robot and the beacons.
Traffic convexity aware cellular networks: a vehicular heavy user perspective
Taehyoung Shim,Jihong Park,Seung-Woo Ko,Seong-Lyun Kim,Beomhee Lee,Jingu Choi IEEE 2016 IEEE wireless communications Vol.23 No.1
<P>Rampant mobile traffic increase in modern cellular networks is largely due to large-sized multimedia contents. Recent advancements in smart devices as well as radio access technologies promote the consumption of bulky content, even for passengers in moving vehicles, referred to as vehicular heavy users. In this article the emergence of vehicular heavy user traffic is observed by field experiments conducted in 2012 and 2015 in Seoul, Korea. The experiments reveal that such traffic is becoming dominant, as shown by the 8.62 times increase in vehicular heavy user traffic while total traffic increased just 3.04 times. To resolve this so-called VHP, we propose a cell association algorithm that exploits user demand diversity for different velocities. This user traffic pattern is discovered first by our field trials, which is convex-shaped over velocity, that is, walking user traffic is less than stationary or vehicular user traffic. As VHP becomes severe, our numerical evaluation verifies that the proposed cell association outperforms in practice a well-known load balancing association, cell range expansion. In addition to cell association, several complementary techniques are suggested in line with the technical trend toward 5G.</P>