Beamforming is now a basic technique in wireless communication to improve signal quality and reduce interference. This study investigates the use of deep learning-enhanced beamforming to improve the quality of transmi...
详细信息
The 5G New Radio (NR) network rollout calls for innovative methods to satisfy the growing demand for low latency, large data speeds, and consistent connectivity. Focussing on integrating several channels and signals, ...
详细信息
This brief implements a highly efficient fully differential transconductance amplifier, based on several input-to-output paths. Some traditional techniques, such as positive feedback, nonlinear tail current sources, a...
详细信息
Through social networks, which are groups of individuals and their relationships, people are often influenced by one another. Each individual in the network may propagate their behavior or ideas to those they are conn...
详细信息
Cell-free massive multi-input multi-output (MIMO) has recently attracted much attention, attributed to its potential to deliver uniform service quality. However, the adoption of a cell-free architecture raises concern...
详细信息
This paper investigates the resource allocation for rate-splitting multiple access(RSMA)enabled multibeam satellite communication ***,we minimize the total unmet user rate,which denotes the difference between the user...
详细信息
This paper investigates the resource allocation for rate-splitting multiple access(RSMA)enabled multibeam satellite communication ***,we minimize the total unmet user rate,which denotes the difference between the users’rate requirement and the practical achievable rate,as well as the total transmit power of the satellite by optimizing the precoding,power allocation,and rate allocation,under the per-feed power and rate *** solve the non-convex optimization problem,a twostage scheme is *** particular,in the first stage,we present a precoding scheme by maximizing the signal-to-leakage-plus-noise ratio of each beam to eliminate the inter-beam *** the second stage,we introduce auxiliary variables to obtain an upper bound on the objective function under the given precoding matrix and transform the rate constraints of the original problem into second-order cones(SOC)and linear matrix inequations(LMI).Then,the successive convex approximation(SCA)technique is used to obtain suboptimal power and rate allocation ***,the initial feasible solution for power allocation is provided by using the standard interior point ***,numerical results verify the superiority of our proposed solution compared to the benchmark methods in terms of objective function values.
Purpose: Bones have a complex hierarchical structure that supports their diverse chemical, biological, and mechanical functions. High rates of bone susceptibility to fractures and injury have attracted extensive resea...
详细信息
Purpose: Bones have a complex hierarchical structure that supports their diverse chemical, biological, and mechanical functions. High rates of bone susceptibility to fractures and injury have attracted extensive research interest to find alternate biomaterials for bone scaffolds. Natural bone healing is only successful if the defect is very small and when a defect exceeds 1 cm3 then bone grafting is required. Large bone defects or injuries are very serious problems in orthopedics as they bring great harm to health and normal function of daily life routine. A scaffold should have good strength to maintain its own structure after implantation in a load bearing environment and without being stiff that shields surrounding bone from the load. Therefore, mechanical properties of bone scaffolds should match those of the host tissue and should be part of the natural environment of the body without any harm or further damage. Methods: In this paper, we present two main contributions. First, we investigate the use of machine learning models in identifying biomaterials that are suitable for bone scaffolds. Second, we rank the best materials for biomedical scaffold applications using the multi-criteria decision analysis methods, the Preference Ranking Organization METhod for the Enrichment of Evaluations (PROMETHEE). Machine learning models investigated are AdaBoost, artificial neural network (ANN), Naïve Bayes (NB), Decision tree (DT), Support Vector Machine (SVM), and K-Nearest Neighbor (KNN). Mechanical properties such as comprehensive strength, tensile strength, and Young’s modulus with the cortical bone are used as the standard reference for classification. Results: The results show that the ANN outperforms the other machine learning models in identifying the biomaterials suitable for bone tissue engineering, while the ranking results using PROMETHEE show that Brushite and Titanium alloy are the best appropriate biomaterials for the cancellous and cortical bones, respectiv
This project will be focused on the effect of private level solar systems on the EDL grid, specifically on the distribution part of the entire EDL network. In order to show the said effects of the integration of solar...
详细信息
It has long been hypothesized that capacitive micromachined ultrasound transducers(CMUTs)could potentially outperform piezoelectric ***,challenges with dielectric charging,operational hysteresis,and transmit sensitivi...
详细信息
It has long been hypothesized that capacitive micromachined ultrasound transducers(CMUTs)could potentially outperform piezoelectric ***,challenges with dielectric charging,operational hysteresis,and transmit sensitivity have stood as obstacles to these performance *** this paper,we introduce key architectural features to enable high-reliability CMUTs with enhanced ***,a CMUT element in an array is designed with an ensemble of smaller membranes oscillating together to transmit or detect ultrasound ***,this approach can lead to unreliable behavior and suboptimal transmit performance if these smaller membranes osilate out of phase or collapse at different *** this work,we designed CMUT array elements composed of a single long rectangular membrane,with the aim of improving the output pressure and electromechanical *** compare the performance of three different modifications of this architecture:traditional contiguous dielectric,isolated isolation post(P),and insulated electrode-post(EP)*** were designed to improve performance while also imparting robustness to charging and minimization of *** fabricate these devices,a wafer-bonding process was developed with near-100%bonding *** CMUT elements achieved electromechanical effciency values as high as 0.95,higher than values reported with either piezoelectric transducers or previous CMUT ***,all investigated CMUT architectures exhibited transmit effciency 2-3 times greater than published CMUT or piezoelectric transducer elements in the 1.5-2.0 MHz *** EP and lip CMUTs demonstrated considerable charging robustness,demonstrating minimal charging over 500,000 collapse-snap-back actuation cycles while also mitigating *** proposed approach offers significant promise for future ultrasonic applications.
Trojan detection from network traffic data is crucial for safeguarding networks against covert infiltration and potential data breaches. Deep learning (DL) techniques can play a pivotal role in detecting trojans from ...
详细信息
暂无评论