The constrained discrete optimization problems (CDOP) have a stochastic objective function and deterministic inequality constraints. The CDOP is NP-hard due to the large and exponentially growing solution space. The o...
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This paper considers the trajectory design problem for unmanned aerial vehicles (UAVs) via meta-reinforcement learning. It is assumed that the UAV can move in different directions to explore a specific area and collec...
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To attain economical micropatterning of microfeatures on the planar surfaces, a developed and maskless electrochemical micromachining procedure (MEMM) is applied wherein a layer of coating with unified micropores is m...
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This paper presents a new look at the neural network (NN) robustness problem, from the point of view of graph theory analysis, specifically graph curvature. Graph curvature (e.g., Ricci curvature) has been used to ana...
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Alzheimer's disease (AD) is a progressive neurodegenerative disorder that is characterized by cognitive decline and memory loss. Early and accurate diagnosis of this disease is still very challenging. In order to ...
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This paper presents a novel reflectarray with independent beam scanning at dual frequencies. Loaded by a single p-i-n diode, two separate radiating structures in a unit cell are used to flexibly fulfill ideal reflecti...
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With the rapid development of wireless communication technology,the spectrum resources are increasingly strained which needs optimal *** radio(CR)is one of the key technologies to solve this *** sensing not only inclu...
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With the rapid development of wireless communication technology,the spectrum resources are increasingly strained which needs optimal *** radio(CR)is one of the key technologies to solve this *** sensing not only includes the precise detection of the communication signal of the primary user(PU),but also the precise identification of its modulation type,which can then determine the a priori information such as the PU’service category,so as to use this information to make the cognitive user(CU)aware to discover and use the idle spectrum more effectively,and improve the spectrum *** sensing is the primary feature and core part of *** sensing algorithms includes energy detection,cyclostationary feature detection,matched filter detection,and so *** energy detection algorithm has a simple structure and does not require prior knowledge of the PU transmitter signal,but it is easily affected by noise and the threshold is not easy to *** combination of multiple-input multiple-output(MIMO)with CR improves the spectral efficiency and multipath fading *** best utilize the PU spectrum while minimizing the overall transmit power,an iterative technique based on semidefinite programming(SDP)and minimum mean squared error(MMSE)is ***,this article proposed a new method for max-min fairness *** compared to existing algorithms,the simulation results show that the proposed algorithms perform better in terms of total transmitted power and signal-tointerference plus noise ratio(SINR).Furthermore,the proposed algorithm effectively improved the system performance in terms of number of iterations,interference temperature threshold and balance SINR level which makes it superior over the conventional schemes.
GaN/(In,Ga)N heterostructure based visible light emitting diodes (LED) have enabled a wide range of solid-state lighting applications through excellent efficiency and power output in the shorter wavelengths (≤ 475nm)...
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In recent years,federated learning(FL)has played an important role in private data-sensitive scenarios to perform learning tasks collectively without data ***,due to the centralized model aggregation for heterogeneous...
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In recent years,federated learning(FL)has played an important role in private data-sensitive scenarios to perform learning tasks collectively without data ***,due to the centralized model aggregation for heterogeneous devices in FL,the last updated model after local training delays the convergence,which increases the economic cost and dampens clients’motivations for participating in *** addition,with the rapid development and application of intelligent reflecting surface(IRS)in the next-generation wireless communication,IRS has proven to be one effective way to enhance the communication *** this paper,we propose a framework of federated learning with IRS for grouped heterogeneous training(FLIGHT)to reduce the latency caused by the heterogeneous communication and computation of the ***,we formulate a cost function and a greedy-based grouping strategy,which divides the clients into several groups to accelerate the convergence of the FL *** simulation results verify the effectiveness of FLIGHT for accelerating the convergence of FL with heterogeneous *** the exemplified linear regression(LR)model and convolutional neural network(CNN),FLIGHT is also applicable to other learning models.
Path planning for autonomous search and tracking of multiple objects is a critical problem in applications such as reconnaissance, surveillance, and data gathering. Due to the inherent competing objectives of searchin...
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