• 제목/요약/키워드: vehicle to grid

검색결과 243건 처리시간 0.021초

Research on UAV access deployment algorithm based on improved virtual force model

  • Zhang, Shuchang;Wu, Duanpo;Jiang, Lurong;Jin, Xinyu;Cen, Shuwei
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제16권8호
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    • pp.2606-2626
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    • 2022
  • In this paper, a unmanned aerial vehicle (UAV) access deployment algorithm is proposed, which is based on an improved virtual force model to solve the poor coverage quality of UAVs caused by limited number of UAVs and random mobility of users in the deployment process of UAV base station. First, the UAV-adapted Harris Hawks optimization (U-AHHO) algorithm is proposed to maximize the coverage of users in a given hotspot. Then, a virtual force improvement model based on user perception (UP-VFIM) is constructed to sense the mobile trend of mobile users. Finally, a UAV motion algorithm based on multi-virtual force sharing (U-MVFS) is proposed to improve the ability of UAVs to perceive the moving trend of user equipments (UEs). The UAV independently controls its movement and provides follow-up services for mobile UEs in the hotspot by computing the virtual force it receives over a specific period. Simulation results show that compared with the greedy-grid algorithm with different spacing, the average service rate of UEs of the U-AHHO algorithm is increased by 2.6% to 35.3% on average. Compared with the baseline scheme, using UP-VFIM and U-MVFS algorithms at the same time increases the average of 34.5% to 67.9% and 9.82% to 43.62% under different UE numbers and moving speeds, respectively.

해양 로봇의 회전 반경을 고려한 경로 계획 알고리즘 (Any-angle Path Planning Algorithm considering Angular Constraint for Marine Robot)

  • 김한근;명현;최현택
    • 제어로봇시스템학회논문지
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    • 제18권4호
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    • pp.365-370
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    • 2012
  • Most path planning algorithms for a marine robot in the ocean environment have been developed without considering the robot's heading angle. As a result, the robot has a difficulty in following the path correctly. In this paper, we propose a limit-cycle circle set that applies to the $Theta^*$ algorithm. The minimum turning radius of a marine robot is calculated using a limit-cycle circle set, and circles of this radius is used to generate a configuration space of an occupancy grid map. After applying $Theta^*$ to this configuration space, the limit-cycle circle set is also applied to the start and end nodes to find the appropriate path with specified heading angles. The benefit of this algorithm is its fast computation time compared to other 3-D ($x,y,{\theta}$) path planning algorithms, along with the fact that it can be applied to the 3-D kinematic state of the robot. We simulate the proposed algorithm and compare it with 3-D $A^*$ and 3-D $A^*$ with post smoothing algorithms.

Machine-to-Machine Communications: Architectures, Standards and Applications

  • Chen, Min;Wan, Jiafu;Li, Fang
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제6권2호
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    • pp.480-497
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    • 2012
  • As a new business concept, machine-to-machine (M2M) communications are born from original telemetry technology with the intrinsic features of automatic data transmissions and measurement from remote sources typically by cable or radio. M2M includes a number of technologies that need to be combined in a compatible manner to enable its deployment over a broad market of consumer electronics. In order to provide better understanding for this emerging concept, the correlations among M2M, wireless sensor networks, cyber-physical systems (CPS), and internet of things are first analyzed in this paper. Then, the basic M2M architecture is introduced and the key elements of the architecture are presented. Furthermore, the progress of global M2M standardization is reviewed, and some representative applications (i.e., smart home, smart grid and health care) are given to show that the M2M technologies are gradually utilized to benefit people's life. Finally, a novel M2M system integrating intelligent road with unmanned vehicle is proposed in the form of CPS, and an example of cyber-transportation systems for improving road safety and efficiency are introduced.

CFD 기법에 의해 예측된 흡입구 및 배기구 손실을 고려한 터보축 엔진의 장착성능에 관한연구 (Installed Performance Analysis of a Turboshaft Engine Considering Inlet and Exhaust Losses Estimated by Cfd Technique)

  • 공창덕
    • 한국추진공학회:학술대회논문집
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    • 한국추진공학회 2006년도 제27회 추계학술대회논문집
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    • pp.106-109
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    • 2006
  • The purpose of this study is to analyze the installed performance of the PW206C turbo shaft engine used in the development of the smart UAV(Unmanned Ariel Vehicle) by KARI(Korean Aerospace Research Institute). It mainly aims to investigate performance behavior at installed conditions using both inlet and exhaust losses generated by CFD analysis of the ducts. The ways employed to be able to analyze the performance extensively were mainly rallied out by performing design point analysis of the engine where the performance simulation results from the commercial program 'GASTURB 9' used for simulation were used as inlet boundary condition for the ducts in CFD program The use of CFD tool involve modeling of the ducts to conform with the stipulated shape and sizes as defined by KARI with a grid density that allows reasonable flow characteristics applicable to aircraft components. Respective values of Shaft horse power obtained by varying flight Mach number, Gas generator RPM and Altitude considering several losses inclusive of those estimated by use of CFD tool were then plotted at three conditions with the ECS-OFF, ECS-MAX and at un-installed condition. Reasonable results were obtained as a result of using computational fluid dynamics that can hence be justified as an alternative tool for use in future flow analysis of engine and components.

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수중 초음파 거리 센서를 이용한 수중 로봇의 2차원 지도 확장 실험 (Experimental Result on Map Expansion of Underwater Robot Using Acoustic Range Sonar)

  • 이영준;최진우;이윤건;최현택
    • 로봇학회논문지
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    • 제13권2호
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    • pp.79-85
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    • 2018
  • This study focuses on autonomous exploration based on map expansion for an underwater robot equipped with acoustic sonars. Map expansion is applicable to large-area mapping, but it may affect localization accuracy. Thus, as the key contribution of this paper, we propose a method for underwater autonomous exploration wherein the robot determines the trade-off between map expansion ratio and position accuracy, selects which of the two has higher priority, and then moves to a mission step. An occupancy grid map is synthesized by utilizing the measurements of an acoustic range sonar that determines the probability of occupancy. This information is then used to determine a path to the frontier, which becomes the new search point. During area searching and map building, the robot revisits artificial landmarks to improve its position accuracy as based on imaging sonar-based recognition and EKF-SLAM if the position accuracy is above the predetermined threshold. Additionally, real-time experiments were conducted by using an underwater robot, yShark, to validate the proposed method, and the analysis of the results is discussed herein.

무인 차량의 자율 주행을 위한 2차원 레이저 거리 센서와 카메라를 이용한 입방형 격자 기반의 3차원 지형형상 복원 (3D Terrain Reconstruction Using 2D Laser Range Finder and Camera Based on Cubic Grid for UGV Navigation)

  • 정지훈;안광호;강정원;김우현;정명진
    • 전자공학회논문지SC
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    • 제45권6호
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    • pp.26-34
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    • 2008
  • 차량의 접근 가능한 구역에 대한 판단과 경로 계획은 무인 차량의 자율 주행에 있어서 필수적이다 차량의 접근 가능한 구역과 경로계획을 위한 정보는 3차원 지형형상을 분석하여 얻을 수 있다. 이 논문에서는 카메라의 색 정보와 2차원 레이저 거리센서(2D LRF)를 융합하여 모바일 로봇의 휠 인코더를 통해 복원한 3차원 지형형상과, GPS/IMU 정보와 2차원 레이저 거리 센서로 복원한 3차원 지형형상을 적은 데이터로 표현하는 방법을 제시하였다. 카메라의 색 정보와 2차원 레이저 거리센서의 융합을 위해 카메라의 좌표계와 LRF의 좌표계 사이의 기하학적인 관계를 격자무의 평면을 이용하여 구하였다. 카메라와 2차원 레이저 거리센서의 융합을 통한 3차원 지형형상 복원은 모바일 로봇을 이용하여 실내에서 실험하였고, GPS/IMU 정보와 2차원 레이저 거리센서를 통한 3차원 지형형상 복원은 차량을 이용하여 실외에서 실험하였다. 이런 시스템에서 복원한 3차원 지형형상은 점군 기반으로 되어있고, 이는 매우 많은 양의 정보를 필요로 한다. 정보의 양을 줄이기 위해 점군 기반을 대신하여 입방형 격자 기반의 지형형상으로 복원하였다.

후미경사각 변화에 따른 자동차주위 유동특성 해석 (Numerical analysis of Flow Characteristic Around an Automobile with Variation of Slant Angle of Rear End)

  • 정영래;강동민;박원규
    • 한국자동차공학회논문집
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    • 제9권1호
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    • pp.75-83
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    • 2001
  • In this paper, numerical analysis is used to find the effects of inclination of rear end on flow characteristic around an automobile. The reference slant angle of rear end is 28.6$^{\circ}$, the slant angle of rear end is decreased to 24$^{\circ}$, 26.6$^{\circ}$ and also increased to 31.6$^{\circ}$, 36.4$^{\circ}$. The 3-D incompressible Navier-Stockes equations are solved by the iterative time marching scheme. The computed surface pressure coefficients were compared with experimental results and a good agreement has been achieved. The A- and C-pillar vortex and other flow phenomena around the ground vehicle are evidently shown. The variation of aerodynamic coefficients of drag, lift with respect to inclination angle of rear end are systematically studied. The flow characteristic on the automobile surface with respect to change of inclination of rear end have been also studied.

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프로펠러 후류 간섭 효과를 고려한 투척식 무인기 요잉모멘트 예측 (Prediction of Yawing Moment for a Hand-Launched UAV Considering Interference Effect of Propeller Wake)

  • 박지민;김동현;박형주
    • 한국군사과학기술학회지
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    • 제24권4호
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    • pp.426-434
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    • 2021
  • In this paper, three-dimensional unsteady computational fluid dynamic(CFD) analyses based on overset grid technique have been performed for a hand-launched unmanned aerial vehicle(UAV) considering the wake effect generated by a rotating propeller. In addition, the defection of rudder is considered in order to consider to predict the equilibrium condition of yawing moment during cruise flight conditions. It is importantly shown in this paper that the wake interference effect of the propeller is significant to accurately predict the yawing moment of the UAV and the yawing moment coefficient corresponding to a flight speed can be different because of its different amount of wake effect due to the different rotating speed of the propeller.

가상 환경에서의 딥러닝 기반 폐색영역 검출을 위한 데이터베이스 구축 (Construction of Database for Deep Learning-based Occlusion Area Detection in the Virtual Environment)

  • 김경수;이재인;곽석우;강원율;신대영;황성호
    • 드라이브 ㆍ 컨트롤
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    • 제19권3호
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    • pp.9-15
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    • 2022
  • This paper proposes a method for constructing and verifying datasets used in deep learning technology, to prevent safety accidents in automated construction machinery or autonomous vehicles. Although open datasets for developing image recognition technologies are challenging to meet requirements desired by users, this study proposes the interface of virtual simulators to facilitate the creation of training datasets desired by users. The pixel-level training image dataset was verified by creating scenarios, including various road types and objects in a virtual environment. Detecting an object from an image may interfere with the accurate path determination due to occlusion areas covered by another object. Thus, we construct a database, for developing an occlusion area detection algorithm in a virtual environment. Additionally, we present the possibility of its use as a deep learning dataset to calculate a grid map, that enables path search considering occlusion areas. Custom datasets are built using the RDBMS system.

Seismic vibration control for bridges with high-piers in Sichuan-Tibet Railway

  • Chen, Zhaowei;Han, Zhaoling;Fang, Hui;Wei, Kai
    • Structural Engineering and Mechanics
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    • 제66권6호
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    • pp.749-759
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    • 2018
  • Aiming at widely used high-pier bridges in Sichuan-Tibet Railway, this paper presents an investigation to design and evaluate the seismic vibration reduction effects of several measures, including viscous damper (VD), friction pendulum bearing (FPB), and tuned mass damper (TMD). Primarily, according to the detailed introduction of the concerned bridge structure, dynamic models of high-pier bridges with different seismic vibration reduction (SVR) measures are established. Further, the designs for these SVR measures are performed, and the optimal parameters of these measures are investigated. On this basis, the vibration reduction effects of these measures are analyzed and assessed subject to actual earthquake excitations in Wenchuan Earthquake (M=8.0), and the most appropriate SVR measure for high-pier bridges in Sichuan-Tibet Railway is determined at the end of the work. Results show that the height of pier does not obviously affect the performances of the concerned SVR measures. Comprehensively considering the vibration absorption performance, installation and maintenance of all the employed measures in this paper, TMD is the best one to absorb vibrations induced by earthquakes.