Optimizing Remote Sensing Image Retrieval Through a Hybrid Methodology by Sujata Alegavi, Raghvendra Sedamkar

“…Initially, the proposed Multiscale Multiangle Mean-shift with Breaking Ties (MSMA-MSBT) algorithm selects informative unlabeled samples for hyperspectral and synthetic aperture radar images through an active learning strategy. …”
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OBJECT TRACKING VIA COMPARISON OF COLOR HISTOGRAMS by B. A. Zalesky, E. N. Seredin, M. V. Yadlouski

“…Results of comparison of the versions with the known mean shift algorithm and correlation type algorithms are also presented. …”
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Utilizing Cross-Layer Information to Improve Performance in JPEG2000 Decoding by Hannes Persson, Anna Brunstrom, Tony Ottosson

“…Further, experimental results with images transmitted over a simulated wireless channel show that a simple decoding algorithm that utilizes soft information can give high gains in image quality compared to the standard hard-decision decoding.…”
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Reconfigurable intelligent surface assisted resource optimization method for heterogeneous network by Xianhao SHEN, Ziling ZENG, Shaohua NIU

“…For reconfigurable intelligent surface (RIS)-assisted heterogeneous network slicing, a resource optimization method with joint resource allocation and phase shift optimization was proposed.A joint optimization problem with different objectives was constructed for different services in heterogeneous networks.For enhanced mobile broadband (eMBB) services, the resource block allocation, power allocation and RIS phase shift matrix were jointly optimized based on the alternating optimization algorithm to maximize the total traversal capacity of eMBB users.For ultra-reliable low-latency communication (URLLC) services, a pre-configured RIS-based heuristic URLLC allocation algorithm was proposed with the objectives of maximizing the URLLC packet reception rate and minimizing the amount of eMBB rate loss.Simulation results demonstrate that the proposed algorithm achieves about 99.99% URLLC packet reception rate using only 80 RISs compared to 95.95% URLLC packet reception rate when no RISs are deployed, while the total eMBB rate is increased by 86.24%.…”
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Deep Reinforcement Learning-Driven Jamming-Enhanced Secure Unmanned Aerial Vehicle Communications by Zhifang Xing, Yunhui Qin, Changhao Du, Wenzhang Wang, Zhongshan Zhang

“…In addition, for specific scenarios, we also use the multi-agent soft actor-critic (MASAC) algorithm to solve the joint optimization problem mentioned above. …”
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2-D DOA Estimation for Incoherently Distributed Sources Considering Mixed Circular and Noncircular Signals in Massive MIMO System by Zhikai Huang, Xin Li, Ping Huang, Wei Wang

“…In this paper, a conjugate generalized shift invariance algorithm is proposed for incoherently distributed sources comprising of circular and noncircular signals. …”
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Modeling Autonomous Vehicles’ Altruistic Behavior to Human-Driven Vehicles in the Car following Events and Impact Analysis by Wenyun Tang, Le Xu, Jianxiao Ma

“…An extension car following framework with two possible soft optimization targets was proposed in this article to improve the experience of HDV followers with different following strategies by deep deterministic policy gradient (DDPG) algorithm. …”
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Three-dimensional graph reconstruction of filamentous structures from z-stack images by Oscar Sten, Emanuela Del Dottore, Marilena Ronzan, Nicola Pugno, Barbara Mazzolai

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An improved and advanced method for dehazing coal mine dust images by Pingping Cao, Xianchao Wang, Linguo Li, Mingjun Liu, Mengting Wang

“…The method performs color balance on the image R, G, and B channels respectively to eliminate the color shift caused by the coal mine environment; then uses a quad-tree subdivision search algorithm and dark channel prior to obtain the atmospheric light and transmittance of the three-channel color balanced image, respectively; then proposes a weighting algorithm to realize transmittance fusion of three-stream coal mine images, and finally realizes coal mine dust image defogging according to the haze weather degradation model. …”
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CONTROL SYSTEM DEPENDING ON A PARAMETER by Vladimir N. Ushakov, Aleksandr A. Ershov, Andrey V. Ushakov, Oleg A. Kuvshinov

“…Problems of targeting integral funnels to a target set in the presence of an obstacle in strict and soft settings are considered. An algorithm for the numerical solution of this problem in the soft setting has been developed. …”
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Numerical Simulation of Diversion Tunnel Excavation Using GPU-Accelerated Anisotropic Random Fields by Guo-jin Zhu, Yu Ning, Zhi-hao Cui, Nanxiang Hu, Qing-xiang Meng, Chun Zhu

“…In this study, a combined anisotropic random field and GPU-accelerated Cholesky decomposition algorithm is proposed for diversion tunnel excavation. …”
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Signal Recognition for English Speech Translation Based on Improved Wavelet Denoising Method by Zhuo Chen

“…Based on this, this paper will improve the traditional wavelet denoising algorithm, abandon the single-threshold judgment of the original traditional algorithm, innovatively adopt the combination of soft threshold and hard threshold, further solve the distortion problem of the denoising algorithm in the process of English speech translation signal recognition, improve the signal-to-noise ratio of English speech recognition, and further reduce the root mean square error of the signal. …”
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Research on BER performance of the OAM-SK FSO communication system with wavefront phase correction by Shuang LI, Ping WANG, Tao LIU, Yuting PAN, Wei WANG

“…On the basis of Gerchberg-Saxton (GS) algorithm and angular-spectrum theory, an improved wavefront phase correction algorithm to the Laguerre-Gaussian (LG) beams was proposed for the orbital angular momentum-shift keying (OAM-SK) modulation-based free space optical (FSO) communication system under weak atmospheric turbulence.The light field distributions of the probe beam at transmitter and receiver were regarded as the input of the improved wavefront phase correction algorithm.And the correction phase mask was iteratively calculated to correct the distorted LG beams, thereby alleviating the inter-model crosstalk caused by atmospheric turbulence.Simulation results show that the improved wavefront phase correction algorithm is superior to the conditional GS algorithm.And with the increase of the refractive-index structure parameter, the bit error rate (BER) performance of the OAM-SK FSO communication system is significantly improved.…”
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Research on BER performance of the OAM-SK FSO communication system with wavefront phase correction by Shuang LI, Ping WANG, Tao LIU, Yuting PAN, Wei WANG

“…On the basis of Gerchberg-Saxton (GS) algorithm and angular-spectrum theory, an improved wavefront phase correction algorithm to the Laguerre-Gaussian (LG) beams was proposed for the orbital angular momentum-shift keying (OAM-SK) modulation-based free space optical (FSO) communication system under weak atmospheric turbulence.The light field distributions of the probe beam at transmitter and receiver were regarded as the input of the improved wavefront phase correction algorithm.And the correction phase mask was iteratively calculated to correct the distorted LG beams, thereby alleviating the inter-model crosstalk caused by atmospheric turbulence.Simulation results show that the improved wavefront phase correction algorithm is superior to the conditional GS algorithm.And with the increase of the refractive-index structure parameter, the bit error rate (BER) performance of the OAM-SK FSO communication system is significantly improved.…”
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Iterative channel estimation based on the Turbo principle for UWB system by TENG Peng-wei1, WANG Yi-ming1, ZHU Hong-bo2

“…An iterative channel estimation algorithm and receiver structures based on Turbo principle were proposed for estimating channel parameters in a TH-UWB system under the realistic UWB channel model from IEEE 802.15. …”
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De-noising method of pulse signal based on double-tree complex wavelet transform and morphological filtering by Dan LI, Huiqian WANG, Tong BAI, Jinzhao LIN, Yu PANG, Xiaoming JIANG, Yuhao JIANG

“…The simulation results show that this algorithm can remove the power line interference and EMG interference, and the quantitative index of SNR and mean square error is superior to the traditional threshold de-noising algorithm. …”
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A multi-armed bandits empowered transmission scheme for IRS-assisted MISO system by SONG Yunchao, LI Hao, LIANG Huibin, WANG Ge

“…Using the contextual MAB algorithm in reinforcement learning, the IRS phase shift matrix was designed within each coherent time block based on contextual information and reward feedback. …”
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On Optimization of RIS-Assisted Secure UAV-NOMA Communications with Finite Blocklength by D. Zhao, L. Hu, W. Xiong, H. Cai, Y. Qian, Y. Xing

“…Numerical results show that the average secrecy rate for all ground users achieved with the proposed algorithm is higher than that achieved with the traditional algorithms.…”
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Secure beamforming design for IRS-assisted SWIPT Internet of things system by Zhengyu ZHU, Jinlei XU, Gangcan SUN, Ning WANG, Wanming HAO

“…In order to meet the new requirements of intelligent signal processing deployment and physical layer security for green interconnection of things, a design method of secure beamforming was proposed to solve the problem of the shortage of sustainable energy supply in the information and energy transmission at the same time Internet of things (IoT) system assisted by intelligent reflecting surface (IRS).Considering the constraints of secrecy rate, transmit power and IRS reflection phase shift, the optimization problem was modeled as a non-convex quadratic programming problem with quadratic constraints, aiming at maximizing the acquisition power of energy collector, and jointly optimizing the base station transmit beamforming matrix, jammer covariance matrix and IRS phase shift.The non-convex quadratic problem was transformed into an equivalent convex problem by using the relaxation variable, semidefinite relaxation method, auxiliary variable and sequence parameter convex approximation method, and an alternative iterative optimization algorithm was proposed to obtain the feasible solution of the original problem.Simulation results show that the proposed algorithm can converge quickly and improve performance effectively compared with the benchmark scheme.…”
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Hybrid Damping Mode MR Damper: Development and Experimental Validation with Semi-Active Control by Jeongwoo Lee, Kwangseok Oh

“…This configuration supports four damping modes—Soft/Soft, Hard/Soft, Soft/Hard, and Hard/Hard—allowing adaptability to varying driving conditions. …”
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