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Fast and efficient terrain-aware motion planning for exploration rovers
(IEEE, 2021)
This paper presents a fast, energy-efficient, and low computational cost traversal solution on sloped terrain. The use of grid-based search algorithms requires high computational power and takes a long time because almost ...
Electron and photon reconstruction and identification with the CMS experiment at the CERN LHC
(IOP Publishing, 2021-05)
The performance is presented of the reconstruction and identification algorithms for electrons and photons with the CMS experiment at the LHC. The reported results are based on proton-proton collision data collected at a ...
Analysis and optimization of the network throughput in IEEE 802.15.13 based visible light communication networks
(IEEE, 2021)
In line with the growing interest on visible light communication (VLC), IEEE has initiated standardization efforts on this emerging technology. In this work, we consider IEEE 802.15.13 Optical Wireless Personal Area Networks ...
Broadband high power amplifier design using GaN HEMT technology
(IEEE, 2021)
This paper presents the design and measurements of a broadband GaN HEMT power amplifier intended for point-to-point radios, electronic warfare systems, and test and measurement applications. The proposed power amplifier ...
Head-motion-aware viewport margins for improving user experience in immersive video
(ACM, 2022-01-10)
Viewport-dependent delivery (VDD) is a technique to save network resources during the transmission of immersive videos. However, it results in a non-zero motion-to-high-quality delay (MTHQD), which is the delta time from ...
Estimating roadway horizontal alignment using artificial neural network
(IEEE, 2021)
This paper presents a novel approach for extracting horizontal alignment data from Geographic Information Systems (GIS) centerline shapefiles. Estimating the road horizontal alignment is formulated as a minimization problem, ...
Learning medical suturing primitives for autonomous suturing
(IEEE, 2021)
This paper focuses on a learning from demonstration approach for autonomous medical suturing. A conditional neural network is used to learn and generate suturing primitives trajectories which were conditioned on desired ...
SLIPT for underwater visible light communications: Performance analysis and optimization
(IEEE, 2021-10)
In this paper, we investigate simultaneous lightwave information and power transfer (SLIPT) for underwater visible light communication systems. We consider three SLIPT methods namely time switching (TS), power splitting ...
Performance analysis and optimization of cascaded I2V and V2V VLC links
(IEEE, 2021-09-06)
In smart transportation systems, the infrastructures such as traffic lights are expected to transmit different safety messages according to the receptors (i.e., vehicle, pedestrian, platoon, etc.). The focus of this study ...
Iterative signal detection under timing errors for optical wireless links with high mobility
(IEEE, 2021-11-01)
In this paper, the problem of timing error for freespace optical links with high mobility is investigated. In particular, we consider a real scenario in which the sampling clock offset is randomly changing and, in addition, ...
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