This paper describes a collaboration between a sophomore/junior-level lab component in an electrical and computerengineering (ECE) course and a junior-level technical writing course within the Mississippi State Unive...
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This paper proposes a method to predic mobile path loss in forests using MIMO fuzzy logic system. The multi-input was classified into seven input parameters defined as, X1 is number of trees/m2 and X2 to X7 are tree s...
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This paper proposes a method to predic mobile path loss in forests using MIMO fuzzy logic system. The multi-input was classified into seven input parameters defined as, X1 is number of trees/m2 and X2 to X7 are tree structure parameters. These crisp inputs are classified by fuzzifier to fuzzy sets and then inferenced using fuzzy linguistic rule base into multi - output path loss slopes via de-fuzzifier. For this study, we classified the terrains into high-, medium-, low- density and grass area and used the simple linguistic rules for prediction the path loss slopes. We performed measurements in different forest densities at a frequency of 1.8 GHz with base station antenna height in a range of 3, 4, and 5 m above ground while the receiving antenna height was fixed at 1.8 m above ground. The results have shown that fuzzy logic approach provides more accurate prediction of path loss slopes than that of conventional empirical mathematic model. The proposed models will be useful for the local wireless network and micro-cell design of mobile communication systems in forests.
Without dispute, symmetrical folding waveforms are the most common type of waveform in engineering science (e.g., cosine, sine). symmetrical number systems (SNS) have been formed to extract the maximum amount of infor...
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ISBN:
(纸本)142440505X
Without dispute, symmetrical folding waveforms are the most common type of waveform in engineering science (e.g., cosine, sine). symmetrical number systems (SNS) have been formed to extract the maximum amount of information from symmetrically folded waveforms. The robust symmetrical number system (RSNS) is formed using N ges 2 sequences and ensures that two successive RSNS vectors differ by only one digit. This Gray-code property reduces the possibility of encoding errors and makes the RSNS useful in applications such as folding analog-to-digital converters, direction finding antenna architectures and photonic processors. This paper determines the length of combined sequences that contain no ambiguities (Mcirc) which we call the RSNS dynamic range. The position of M is also derived. We first extend our two-sequence results to develop Mcirc for a three-sequence RSNS with moduli of the form 2 r - 1, 2 r , 2 r + 1. We then extend the results to solving the N-channel RSNS redundancy locations in general
Diamond ultramicroelectrode arrays (D-UMEAs) have been fabricated and evaluated experimentally for chemical sensing. D-UMEAs were found to demonstrate higher current density per unit active area than planar diamond ma...
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Diamond ultramicroelectrode arrays (D-UMEAs) have been fabricated and evaluated experimentally for chemical sensing. D-UMEAs were found to demonstrate higher current density per unit active area than planar diamond macroelectrode and glassy carbon electrode. D-UMEAs could address new operating envelopes in electrochemical detection, and provide stable sensor electrodes for bio and extreme environments.
Many universities and colleges are faced with declining numbers of potential engineering students. In Wyoming, this is due to a declining number of high school graduates as well as potential students not being aware o...
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We demonstrate, for the first time, micromechanical detection of the neurotransmitter dopamine and its discrimination from ascorbic acid. Microcantilever sensors were fabricated and coated with the polysaccharide chit...
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Continuous multiday broadband neural data provide a means for observing effects at fine timescales over long periods. In this paper we present analyses on such data sets to demonstrate neural correlates for physically...
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Continuous multiday broadband neural data provide a means for observing effects at fine timescales over long periods. In this paper we present analyses on such data sets to demonstrate neural correlates for physically active and inactive time periods, as defined by the response of a head-mounted accelerometer. During active periods, we found that 5-25 Hz local field potential (LFP) power was significantly reduced, firing rate variability increased, and firing rates have greater temporal correlation. Using a single threshold fit to LFP power, 93% of the 403 5 minute blocks tested were correctly classified as active or inactive (as labeled by thresholding each block's maximal accelerometer magnitude). These initial results motivate the use of such data sets for testing neural prosthetics systems and for finding the neural correlates of natural behaviors
We developed an algorithm which allows obtaining a Gram matrix having a particular pattern for crosscorrelations of the signature sequences. When it is used for real numbers, unit tight frame signature sets are obtain...
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We developed an algorithm which allows obtaining a Gram matrix having a particular pattern for crosscorrelations of the signature sequences. When it is used for real numbers, unit tight frame signature sets are obtained, as they are required by 2G or 3G CDMA systems. When this algorithm is used for complex numbers, complex valued signature sets with constant chip magnitude are obtained. The results are derived in the context of synchronous CDMA systems and numerical results are provided to illustrate the mathematical formalism.
We have studied the temperature behavior of the electrical resistivities ρ(T) in a series of tin‐doped indium‐oxide films with different residual resistivities ρ0 varying from 218 to 568 μΩ cm. We found that the...
We have studied the temperature behavior of the electrical resistivities ρ(T) in a series of tin‐doped indium‐oxide films with different residual resistivities ρ0 varying from 218 to 568 μΩ cm. We found that the temperature dependence of ρ can be well described by the Bloch‐Grüneisen law from 300 K down to about 100 K. In particular, we observed that the strength of the electron‐phonon coupling, βBG (which characterizes a prefactor in the Bloch‐Grüneisen formula) increases linearly with increasing ρ0. This result is not understood in terms of current theoretical concept for electron‐phonon interaction in metals.
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