SDN Controller Selection and Secure Resource Allocation by Sasibhushana Rao Pappu, Kalyana Chakravarthy Chilukuri

“…Here, user registration, load balancing, attack detection, controller selection, and resource allocation phases are included. Utilizing XOR Left Shift (XORLS), the user details are secured by IP traceback and hash codes are generated using the Mid Square-based KECCAK 512 (MS-KECCAK 512) algorithm. …”
Get full text

Targets Spatial Coordinates Calculation in Angle-Difference Rangefinder Passive Location Complexes by Numerical Iterative Methods by A. A. Dmitrenko, S. Y. Sedyshev

Get full text

Control strategy of robotic manipulator based on multi-task reinforcement learning by Tao Wang, Ziming Ruan, Yuyan Wang, Chong Chen

“…To tackle this issue, instead of uniform parameter sharing, we propose an adjudicate reconfiguration network model, which we integrate into the Soft Actor-Critic (SAC) algorithm to address the optimization problems brought about by parameter sharing in multi-task reinforcement learning algorithms. …”
Get full text

GSB: GNGS and SAG-BiGRU network for malware dynamic detection. by Zhanhui Hu, Guangzhong Liu, Xinyu Xiang, Yanping Li, Siqing Zhuang

“…For solving the problem, this study proposed the GNGS algorithm to construct a new balance dataset for the model algorithm to pay more attention to the feature learning of the minority attacks' malware to improve the detection rate of attacks' malware. …”
Get full text

Advanced day-ahead scheduling of HVAC demand response control using novel strategy of Q-learning, model predictive control, and input convex neural networks by Rahman Heidarykiany, Cristinel Ababei

“…As a novel RL approach, the proposed algorithm generates day-ahead HVAC demand response (DR) signals in smart homes that optimally reduce and/or shift peak energy usage, reduce electricity costs, minimize user discomfort, and honor in a best-effort way the recommendations from utility/aggregator, which in turn has impact on the overall well being of the distribution network controlled by the aggregator. …”
Get full text

Computational Adaptive Optics for HAR Hybrid Trench Array Topography Measurement by Utilizing Coherence Scanning Interferometry by Wenyou Qiao, Zhishan Gao, Qun Yuan, Lu Chen, Zhenyan Guo, Xiao Huo, Qian Wang

“…Here, we propose a computational aberration correction method for measuring the topography of the HAR structure by the particle swarm optimization (PSO) algorithm without constructing a database and prior knowledge, and a phase filter in the spatial frequency domain is constructed to restore interference signals distorted by shift-variant aberrations. …”
Get full text

Computation offloading scheme for RIS-empowered UAV edge network by Bin LI, Wenshuai LIU, Wancheng XIE, Zesong FEI

“…In order to address the challenge of low offloading rate caused by the obstacles blocking in the links between unmanned aerial vehicle (UAV) and ground users (GU) in urban scene, a partial task offloading scheme for UAV-enabled mobile edge computing with the aid of reconfigurable intelligence surface was proposed.A nonconvex and multivariable coupling stochastic optimization problem was formulated by the joint design of the computation task allocation, the transmit power of GU, the phase shift of RIS, UAV computation resource, and UAV trajectory, aiming at maximizing the minimum average data throughput of GU.By leveraging the properties of mathematical expectation, the stochastic optimization problem was transformed into a deterministic optimization problem.Then, the deterministic optimization problem was decomposed into three subproblems by using the block coordinate descent (BCD) algorithm.By introducing auxiliary variables, the nonconvex problems were transformed into convex optimization problems via the successive convex approximation and semidefinite relaxation, and then the approximate suboptimal solution of the original problem was obtained.The simulation results show that the proposed algorithm has good convergence performance and effectively improves the average data throughput of GU.…”
Get full text

Light weight encryption technique: a cellular automaton based approach for securing health records by Shamama Anwar, Prashant Pranav, Supreeti Kamilya

“…The algorithm has been tested on some benchmark tests like the NIST test suite and Diehard test to show its efficacy.…”
Get full text

CSL-SFNet for Cooperative Spectrum Sensing in Cognitive Satellite Network with GEO and LEO Satellites by Kai Yang, Shengbo Hu, Xin Zhang, Tingting Yan, Manqin Zhu

“…The simulation results demonstrate that the proposed algorithm can achieve a detection probability of 90% when the signal-to-noise ratio is −20 dB; it has a shorter running time and always outperforms the other CSS algorithms.…”
Get full text

Inversion Study of Mechanical Parameters of Tunnel Surrounding Rock Based on Similar Test by Xianyun Wang, Hewei Cui, Hailiang Xu, Dong An, Yimin Song

“…Based on similar model tests and finite element simulations, inversion study of the mechanical parameters of the tunnel surrounding rock by combining artificial fish swarm algorithm (AFSA) and digital scattering correlation method is carried out. …”
Get full text

Advancing Over-the-Air Federated Learning through Deep Reinforcement Learning in UAV-Assisted Networks with Movable Antennas by Mohsen Ahmadzadeh, Saeid Pakravan, Ghosheh Hodtani

“…Numerical results demonstrate that the proposed algorithm outperforms benchmarks such as Advantage Actor-Critic(A2C) and Soft Actor-Critic (SAC).…”
Get full text

MATHEMATICAL MODEL AND DELAY TIME OF REFLECTED SIGNAL IN SYNTHETIC APERTURE SONAR by S. R. Heister, T. T. Tran

“…The model provides the algorithm design of direct synthesis of antenna aperture, which allows to obtain high resolution image of seabed surface in reverberation conditions. …”
Get full text

System Verification and FPGA Implementation of Hardware Preemptive Scheduler for RISC-V Processor by Ionel Zagan, Vasile Gheorghita Gaitan

“…The overall purpose of this paper is to present the hardware scheduler accelerator (HwSA) concept based on the RISC-V 4-stage pipeline CPU, where the scheduling algorithm is implemented in hardware. The proposed system is compared with existing soft-core processors using different parameters, such as the field-programmable gate arrays (FPGA) resources used for implementation, frequency, instruction set architecture (ISA), scheduler type, and the number of pipeline stages. …”
Get full text

SA3C-ID: a novel network intrusion detection model using feature selection and adversarial training by Wanwei Huang, Haobin Tian, Lei Wang, Sunan Wang, Kun Wang, Songze Li

“…Next, the network intrusion detection process is modeled as a Markov decision process and integrated with the Soft Actor-Critic (SAC) reinforcement learning algorithm, with a view to constructing agents; In the context of adversarial training, two agents, designated as the attacker and the defender, are defined to perform asynchronous adversarial training. …”
Get full text

Predicting excavation-induced lateral displacement using improved particle swarm optimization and extreme learning machine with sparse measurements by Cheng Chen, Guan-Nian Chen, Song Feng, Xiao-Zhen Fan, Liang-Tong Zhan, Yun-Min Chen

Get full text

Unveiling insights from unstructured wealth: a comparative analysis of clustering techniques on blockchain cryptocurrency data by Ramzi A. Haraty, Salma Sobeh

“…This survey examines seven widely recognized clustering techniques, namely<em> k</em>-means, <em>G</em>-means, DBSCAN, Agglomerative hierarchical clustering, Two-stage density (DBSCAN and <em>k</em>-means) algorithm, Two-levels (DBSCAN and hierarchical) clustering algorithm, and Two-stage MeanShift and <em>k</em>-means clustering algorithm and compares them with a real dataset - The Blockchain dataset, including prominent cryptocurrencies like Binance, Bitcoin, Doge, and Ethereum, under several metrics such as silhouette coefficient, Calinski-Harabasz, Davies-Bouldin Index, time complexity, and entropy.…”
Get full text

Multi-objective artificial-intelligence-based parameter tuning of antennas using variable-fidelity machine learning by Slawomir Koziel, Anna Pietrenko-Dabrowska, Stanislaw Szczepanski

“…Due to the reliance on computationally-expensive electromagnetic (EM) simulations, the use of conventional algorithms is prohibitive. These costs can be reduced by appropriate algorithmic tools involving surrogate modeling and soft computing methods. …”
Get full text

Autonomous Dogfight Decision-Making for Air Combat Based on Reinforcement Learning with Automatic Opponent Sampling by Can Chen, Tao Song, Li Mo, Maolong Lv, Defu Lin

“…The training outcomes demonstrate that this improved PPO algorithm with an AOS framework outperforms existing reinforcement learning methods such as the soft actor–critic (SAC) algorithm and the PPO algorithm with prioritized fictitious self-play (PFSP). …”
Get full text

Estimation of Vs30 and site classification of Bhaktapur district, Nepal using microtremor array measurement by Roshan Prajapati, Salim Dhonju, Subeg Man Bijukchhen, Michiko Shigefuji, Nobuo Takai

“…The elevated eastern and southeastern areas with high Vs30 were categorized as dense soil or soft rock, whereas the areas with low Vs30 that had suffered significant damage during the 2015 Gorkha earthquake were classified as soft soil sites. …”
Get full text

Intelligent Reconfigurable surface technique for Multiple Antenna Communication System by Noor Qasim, Ismail Hburi, Haider Salih Al Ammar

“…For the reflecting element phase shift matrix the algorithm uses the arrival/departure angles of the LoS rays at the IRS elements. …”
Get full text