Abstract: Seismic acquisition having high geophone densities is compressed based on Functional Quantization (FQ) for an infinite dimensional space. Using FQ, the entire sample path of the seismic waveform in a target function space is quantized. An efficient solution for the construction of a functional quantizer is given. It is based on Monte-Carlo simulation to circumvent the limitations of high dimensionality and avoids explicit construction of Voronoi regions to tessellate the function space of interest. The FQ architecture is then augmented with three different Vector Quantization (VQ) techniques which yield hybridized FQ strategies of 1) FQ-Classified VQ, 2) FQ-Residual/Multistage VQ and 3) FQ-Recursive VQ. Joint quantizers are obtained by replacing regular VQ codebooks in these hybrid quantizers by their FQ equivalents. Simulation results show that the FQ combined with any one of the different VQ techniques yields improved rate-distortion compared to either FQ or VQ techniques alone.

Abstract: A method of compressing data from seismic waves using Gabor frames utilizes a plurality of geophones positioned within a region of interest. Each of the plurality of geophones is communicably coupled with at least one remote server. Thus, a plurality of reflected-seismic signals received through the plurality of geophones can be transmitted to the at least one remote server for analyzing and calculations. The plurality of reflected-seismic signals is converted into a set of Gabor frames, wherein the Gabor frames is generated via a plurality of prolate spheroidal wave functions (PSWF). A Gabor frame-generating calculation module utilizes the plurality of PSWF to generate the set of Gabor frames. A dual frame for each of the set of Gabor frames is derived and used for quantization purposes. Preferably, a tree structured vector quantization process is followed.

Abstract: A method of compressing data from seismic waves using Gabor frames utilizes a plurality of geophones positioned within a region of interest. Each of the plurality of geophones is communicably coupled with at least one remote server. Thus, a plurality of reflected-seismic signals received through the plurality of geophones can be transmitted to the at least one remote server for analyzing and calculations. The plurality of reflected-seismic signals is converted into a set of Gabor frames, wherein the Gabor frames is generated via a plurality of prolate spheroidal wave functions (PSWF). A Gabor frame-generating calculation module utilizes the plurality of PSWF to generate the set of Gabor frames. A dual frame for each of the set of Gabor frames is derived and used for quantization purposes. Preferably, a tree structured vector quantization process is followed.

Abstract: Joint power allocation and cell formation for energy efficient (EE) visible light communication (VLC) networks is described. A set of rules for clustering users and then associating all the access points (APs) to the clustered users based on a proposed metric is developed. The energy efficiency is maximized by allocating power to users based on quality of service (QoS) constraints. The present disclosure jointly allocates the power and decides which APs must participate in communication and which ones must be switched off to minimize inter-cell interference. Numerical results demonstrate a significant improvement in energy efficiency compared to the traditional methods of clustering and AP assignment.

Abstract: Joint power allocation and cell formation for energy efficient (EE) visible light communication (VLC) networks networks is described. A set of rules for clustering users and then associating all the access points (APs) to the clustered users based on a proposed metric is developed. The energy efficiency is maximized by allocating power to users based on quality of service (QoS) constraints. The present disclosure jointly allocates the power and decides which APs must participate in communication and which ones must be switched off to minimize inter-cell interference. Numerical results demonstrate a significant improvement in energy efficiency compared to the traditional methods of clustering and AP assignment.

Abstract: Seismic acquisition having high geophone densities is compressed based on Functional Quantization (FQ) for an infinite dimensional space. Using FQ, the entire sample path of the seismic waveform in a target function space is quantized. An efficient solution for the construction of a functional quantizer is given. It is based on Monte-Carlo simulation to circumvent the limitations of high dimensionality and avoids explicit construction of Voronoi regions to tessellate the function space of interest. The FQ architecture is then augmented with three different Vector Quantization (VQ) techniques which yield hybridized FQ strategies of 1) FQ-Classified VQ, 2) FQ-Residual/Multistage VQ and 3) FQ-Recursive VQ. Joint quantizers are obtained by replacing regular VQ codebooks in these hybrid quantizers by their FQ equivalents. Simulation results show that the FQ combined with any one of the different VQ techniques yields improved rate-distortion compared to either FQ or VQ techniques alone.

Abstract: Joint power allocation and cell formation for energy efficient (EE) visible light communication (VLC) networks networks is described. A set of rules for clustering users and then associating all the access points (APs) to the clustered users based on a proposed metric is developed. The energy efficiency is maximized by allocating power to users based on quality of service (QoS) constraints. The present disclosure jointly allocates the power and decides which APs must participate in communication and which ones must be switched off to minimize inter-cell interference. Numerical results demonstrate a significant improvement in energy efficiency compared to the traditional methods of clustering and AP assignment.

Abstract: Joint power allocation and cell formation for energy efficient (EE) visible light communication (VLC) networks is described. A set of rules for clustering users and then associating all the access points (APs) to the clustered users based on a proposed metric is developed. The energy efficiency is maximized by allocating power to users based on quality of service (QoS) constraints. The present disclosure jointly allocates the power and decides which APs must participate in communication and which ones must be switched off to minimize inter-cell interference. Numerical results demonstrate a significant improvement in energy efficiency compared to the traditional methods of clustering and AP assignment.

Abstract: Joint power allocation and cell formation for energy efficient (EE) visible light communication (VLC) networks is described. A set of rules for clustering users and then associating all the access points (APs) to the clustered users based on a proposed metric is developed. The energy efficiency is maximized by allocating power to users based on quality of service (QoS) constraints. The present disclosure jointly allocates the power and decides which APs must participate in communication and which ones must be switched off to minimize inter-cell interference. Numerical results demonstrate a significant improvement in energy efficiency compared to the traditional methods of clustering and AP assignment.

Abstract: A joint optimization of power allocation and load balancing for hybrid VLC/RF networks includes one RF access point and multiple visible light communications (VLC) access points and an interactive algorithm to distribute the user's power allocation (PA) and radio-frequency (RF) access points (APs) to the connected users and distributes the power of the APs on the users for the total achievable data rate maximation. In a PA subproblem an optimization problem is formulated to allocate the power of each AP to the connected users for the total achievable data rate maximation. In this subproblem, Applicants propose a new efficient algorithm that finds the optimal dual variables after formulating them in terms of each other. This new algorithm provides faster convergence and better performance than the traditional subgradient method. In addition, it does not depend on the step size and the initial values of the variables.

Abstract: A simultaneous wireless information and power transfer relaying network system includes a source, a relay and a destination node. An overall time slot constituting a relaying protocol of the system includes a first time slot assigned for the source and a second time slot assigned for the relay, where at least a part of the first time slot is assigned for an information transmission from the source to the relay. A time duration of the second time slot is greater than a time duration of the at least part of the first time slot assigned for the information transmission from the source to the relay. A method of communication for the SWIPT relaying network system includes determining a structure of the overall time slot including ratios of time durations of subparts of the overall time slot.

Abstract: A simultaneous wireless information and power transfer relaying network system includes a source, a relay and a destination node. An overall time slot constituting a relaying protocol of the system includes a first time slot assigned for the source and a second time slot assigned for the relay, where at least a part of the first time slot is assigned for an information transmission from the source to the relay. A time duration of the second time slot is greater than a time duration of the at least part of the first time slot assigned for the information transmission from the source to the relay. A method of communication for the SWIPT relaying network system includes determining a structure of the overall time slot including ratios of time durations of subparts of the overall time slot.

Abstract: A simultaneous wireless information and power transfer relaying network system includes a source, a relay and a destination node. An overall time slot constituting a relaying protocol of the system includes a first time slot assigned for the source and a second time slot assigned for the relay, where at least a part of the first time slot is assigned for an information transmission from the source to the relay. A time duration of the second time slot is greater than a time duration of the at least part of the first time slot assigned for the information transmission from the source to the relay. A method of communication for the SWIPT relaying network system includes determining a structure of the overall time slot including ratios of time durations of subparts of the overall time slot.

Abstract: The wireless sensor network with energy efficient protocols includes a network of external sensors in communication with a data sink. The network utilizes an algorithm integrating a modified S-MAC (an algorithm for medium access control) protocol for decreasing energy usage in operating the node and associated sensors. A routing protocol is further integrated into the algorithm, the routing protocol being based upon cluster head rotation.

Abstract: The variable step-size least mean square method for estimation in adaptive networks uses a variable step-size to provide estimation for each node in the adaptive network, where the step-size at each node is determined by the error calculated for each node, as opposed to conventional least mean square algorithms used in adaptive filters and the like, where the choice of step-size reflects a tradeoff between misadjustment and the speed of adaptation.

Abstract: The noise-constrained diffusion least mean square method for estimation in adaptive networks is based on the Least Mean Squares (LMS) algorithm. The method uses a variable step size in which the step-size variation rule results directly from the noise constraint.

Abstract: The wireless sensor network with energy efficient protocols includes a network of external sensors in communication with a data sink. The network utilizes an algorithm integrating a modified S-MAC (an algorithm for medium access control) protocol for decreasing energy usage in operating the node and associated sensors. A routing protocol is further integrated into the algorithm, the routing protocol being based upon cluster head rotation.

Abstract: The apparatus and method for blind block recursive estimation in adaptive networks, such as a wireless sensor networks, uses recursive algorithms based on Cholesky factorization (Cholesky) or singular value decomposition (SVD). The algorithms are used to estimate an unknown vector of interest (such as temperature, sound, pressure, motion, pollution, etc.) using cooperation between neighboring sensor nodes in the wireless sensor network. The method incorporates the Cholesky and SVD algorithms into the wireless sensor networks by creating new recursive diffusion-based algorithms, specifically Diffusion Blind Block Recursive Cholesky (DBBRC) and Diffusion Blind Block Recursive SVD (DBBRS). Both DBBRC and DBBRS perform much better than the no cooperation case where the individual sensor nodes do not cooperate. A choice of DBBRC or DBBRS represents a tradeoff between computational complexity and performance.

Abstract: Contamination monitoring of high voltage insulators provides a system and method producing an early predictor for high voltage insulator failure, allowing repairmen to either already be on site when a high voltage insulator fails in order to expedite repair time, or allowing repair and/or replacement of a faulty insulator before the failure actually occurs. The system and method provide transmission of an alarm signal when contaminant levels (such as equivalent salt deposit density (ESDD) levels) formed on a high voltage insulator exceed pre-selected threshold values, indicating the likelihood of high voltage insulator failure.

Abstract: The noise-constrained diffusion least mean square method for estimation in adaptive networks is based on the Least Mean Squares (LMS) algorithm. The method uses a variable step size in which the step-size variation rule results directly from the noise constraint.