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Separating Separation Logic – Modular Verification of Red-Black Trees
Interactive theorem provers typically use abstract algebraic data structures to focus on algorithmic correctness. Verification of programs in real... -
Aggressive GPU cache bypassing with monolithic 3D-based NoC
Cache bypassing is widely employed to alleviate cache contention and pollution in GPUs. However, cache bypassing often puts more pressure on the...
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A Survey on Clock Synchronization in the Industrial Internet
Clock synchronization is one of the most fundamental and crucial network communication strategies. With the expansion of the Industrial Internet in...
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Deep Reinforcement Learning for Jointly Resource Allocation and Trajectory Planning in UAV-Assisted Networks
Unmanned aerial vehicles (UAVs) have diverse applications in various fields, including the deployment of drones in 5G mobile networks and upcoming 6G... -
Model-Free Predictor of Signal-to-Noise Ratios for Mobile Communications Systems
This paper presents a model-free predictor applied to forecast values of signal-to-noise ratio (SNR) relation in wireless communication networks. The...
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Technologies for design-build-test-learn automation and computational modelling across the synthetic biology workflow: a review
Motivated by the need to parameterize and functionalize dynamic, multiscale simulations, as well as bridge the gap between advancing in silico and...
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Throughput, capacity and latency analysis of P-NOMA RRM schemes in 5G URLLC
5G is expected to cover a wide range of potential use cases due to its flexible and configurable physical layer waveform. One of the use cases...
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AI Cybersecurity Assurance for Autonomous Transport Systems: Scenario, Model, and IMECA-Based Analysis
The paper investigates problems and ways of utilizing Artificial Intelligence (AI) to ensure the cybersecurity of autonomous transport systems (ATSs)... -
Energy-efficient UAV-NOMA aided wireless coverage with massive connections
In this paper, we propose an unmanned aerial vehicle (UAV)-assisted wireless coverage scheme, wherein UAVs help to serve the cell-edge users for...
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An Improved Machine Learning Approach for Throughput Prediction in the Next Generation Wireless Networks
Currently evolving 5G telecom networks require different intelligent learning and decision mechanisms to adapt to the varying network conditions.... -
BNPSIW: BRBS-based NSST-PZMs domain statistical image watermarking
Robustness, imperceptibility, and watermark capacity are three indispensable and contradictory properties for any image watermarking systems. It is a...
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Video object segmentation for automatic image annotation of ethernet connectors with environment map** and 3D projection
The creation of a dataset is time-consuming and sometimes discourages researchers from pursuing their goals. To overcome this problem, we present and...
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Deep Reinforcement Learning-Based Resource Allocation for 5G Machine-Type Communication in Active Distribution Networks
With the development of smart grids and active distribution networks (ADNs), reliable and low-latency communication is the key to advanced... -
RCBE-AS: Rabin cryptosystem–based efficient authentication scheme for wireless sensor networks
Wirelesssensor networks (WSNs) are applicable in numerous fields ranging from very common to those demanding critical security concerns. It is...
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D2D NOMA Groupcast in 5G Heterogeneous Networks
In traditional 5G latency-driven assignment methodologies, a radio carrier’s numerology is typically fixed for any given QoS flow, as directed by the...
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The Bike Sharing Problem
Assume that \(m \ge 1\) autonomous... -
Construction Risk Monitoring Method of Subway Foundation Pit Engineering Based on Simulated Annealing Neural Network
Traditional subway foundation pit engineering construction risk monitoring methods have slow convergence speed when solving large-scale practical... -
Performance evaluation and downstream system planning based energy management in LTE systems
The Mobile Edge Computing is a novel prototype that was developed recently due to the benefits and expanding nature of electronic data-processing...
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Codescape - Development and Operation of a Serious Game for Teaching Programming in Introductory Courses
The serious game Codescape is developed at the RWTH University and used in several introductory programming courses with a total of 3000 students per... -
Spectrum Sensing and Prediction for 5G Radio
In future wireless networks, it is crucial to find a way to precisely evaluate the degree of spectrum occupation and the exact parameters of free...