The Experts below are selected from a list of 295395 Experts worldwide ranked by ideXlab platform
Tom Chau - One of the best experts on this subject based on the ideXlab platform.
-
Towards increased data Transmission Rate for a three-class metabolic brain-computer interface based on transcranial Doppler ultrasound.
Neuroscience Letters, 2012Co-Authors: Andrew Myrden, Azadeh Kushki, Ervin Sejdic, Tom ChauAbstract:Abstract In this study, we conducted an offline analysis of transcranial Doppler (TCD) ultrasound recordings to investigate potential methods for increasing data Transmission Rate in a TCD-based brain–computer interface. Cerebral blood flow velocity was recorded within the left and right middle cerebral arteries while nine able-bodied participants alternated between rest and two different mental activities (word generation and mental rotation). We differentiated these three states using a three-class linear discriminant analysis classifier while the duration of each state was varied between 5 and 30 s. Maximum classification accuracies exceeded 70%, and data Transmission Rate was maximized at 1.2 bits per minute, representing a four-fold increase in data Transmission Rate over previous two-class analysis of TCD recordings.
Taneli Riihonen - One of the best experts on this subject based on the ideXlab platform.
-
Transmission Rate Optimization of Full-Duplex Relay Systems Powered by Wireless Energy Transfer
IEEE Transactions on Wireless Communications, 2017Co-Authors: Long Zhao, Xiaodong Wang, Taneli RiihonenAbstract:We consider a system where a source node communicates with a destination node with the assistance of a wireless energy-powered full-duplex relay node. The relay node splits its received signal into two components for energy harvesting and information decoding, respectively, and forwards the decoded information using a portion of the harvested energy. To maximize the end-to-end Transmission Rate, the power splitting factor and energy consumption proportion are jointly optimized for the relay with a single transmit antenna in the presence of self-interference. Furthermore, for the relay with multiple transmit antennas, a suboptimal relay beamformer is first designed and the power splitting factor and energy consumption proportion are then jointly optimized. Finally, the asymptotic Transmission Rate is analyzed with a large number of transmit antennas. Simulation results are provided to demonstRate that the proposed schemes offer significant Rate gain compared with some typical reference schemes, irrespective of the residual self-interference level. Especially, by employing a large number of source or relay transmit antennas, the wireless energy-powered relay system is capable of cutting its energy consumption significantly.
Christoph J Brabec - One of the best experts on this subject based on the ideXlab platform.
-
the impact of water vapor Transmission Rate on the lifetime of flexible polymer solar cells
Applied Physics Letters, 2008Co-Authors: Jens Hauch, Pavel Schilinsky, Stelios A Choulis, Sambatra Rajoelson, Christoph J BrabecAbstract:In this paper we perform acceleRated lifetime testing on high efficiency flexible poly(3-hexylthiophene):[6,6]-phenyl C61 butyric acid methyl ester (P3HT:PCBM) solar cells encapsulated with food package quality barrier films with a water vapor Transmission Rate of 0.2 g/(m2 day) at 65 °C/85% relative humidity. We show that lifetimes exceeding 1250 h, even at high temperature/high humidity conditions, may be reached, proving that organic solar cells are significantly less sensitive against the environmental effects of water and oxygen than previously expected.
Mario Marchese - One of the best experts on this subject based on the ideXlab platform.
-
l_p problem based Transmission Rate allocation with packet loss and power metrics over satellite networks
IEEE Transactions on Vehicular Technology, 2016Co-Authors: Igor Bisio, Stefano Delucchi, Fabio Lavagetto, Mario MarcheseAbstract:This paper tackles the classical problem of Transmission Rate allocation in satellite networks where fading may negatively impact communications. Within the framework of multiobjective programming (MOP), this paper introduces a Transmission Rate allocation criterion among Earth stations (ESs) called $L_p$ -problem-based Rate allocation $(L_{p}RA)$ . The allocations provided by $L_{p}RA$ are representative of a compromise among the need of different performance metrics such as packet loss and Transmission power (TP). This paper determines the condition for the existence and the value of a $L_{p}RA$ Transmission Rate allocation bound $R^{\mathrm{bound}}$ , to which the Transmission Rate globally allocated by $L_{p}RA$ converges when the overall available Transmission Rate $R_{\mathrm{TOT}}$ tends to infinity. The performance analysis, which is carried out through simulations under different satellite channel conditions, is aimed at investigating $L_{p}RA$ features, at showing the existence of the Rate bound and the advantages concerning the Rate allocation given by using $L_{p}RA$ , and at comparing $L_{p}RA$ with two other schemes in the literature concerning allocated Rate, packet loss Rate, transmit power, and execution time.
Andrew Myrden - One of the best experts on this subject based on the ideXlab platform.
-
Towards increased data Transmission Rate for a three-class metabolic brain-computer interface based on transcranial Doppler ultrasound.
Neuroscience Letters, 2012Co-Authors: Andrew Myrden, Azadeh Kushki, Ervin Sejdic, Tom ChauAbstract:Abstract In this study, we conducted an offline analysis of transcranial Doppler (TCD) ultrasound recordings to investigate potential methods for increasing data Transmission Rate in a TCD-based brain–computer interface. Cerebral blood flow velocity was recorded within the left and right middle cerebral arteries while nine able-bodied participants alternated between rest and two different mental activities (word generation and mental rotation). We differentiated these three states using a three-class linear discriminant analysis classifier while the duration of each state was varied between 5 and 30 s. Maximum classification accuracies exceeded 70%, and data Transmission Rate was maximized at 1.2 bits per minute, representing a four-fold increase in data Transmission Rate over previous two-class analysis of TCD recordings.
