Adaptive sensing and compression rate selection scheme for energy-harvesting wireless sensor networks by Ikjune Yoon, Jun Min Yi, Semi Jeong, Dong Kun Noh

“…In the proposed scheme, each node selects a compression algorithm and adjusts the sensing rate to gather more data while the node operates properly. …”
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Compressed Sensing Inspired Image Reconstruction from Overlapped Projections by Lin Yang, Yang Lu, Ge Wang

“…The key idea discussed in this paper is to reconstruct an image from overlapped projections so that the data acquisition process can be shortened while the image quality remains essentially uncompromised. …”
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Synthesizing Sum and Difference Patterns with Low Complexity Feeding Network by Sharing Element Excitations by Jafar Ramadhan Mohammed

“…Unlike the standard optimization approaches such as genetic algorithm (GA), the described algorithm performs repeatedly deterministic transformations on the initial field until the prescribed requirements are satisfied. …”
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An Improved Differential Evolution Method Based on the Dynamic Search Strategy to Solve Dynamic Economic Dispatch Problem with Valve-Point Effects by Guangyu Chen, Xiaoqun Ding

“…DE is the main optimizer in the method proposed. While chaotic sequences are applied to obtain the dynamic parameter settings in DE, dynamic search strategy which consists of two steps, global search strategy and local search strategy, is used to improve algorithm efficiency. …”
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Motion Planning and Control with Environmental Uncertainties for Humanoid Robot by Zhiyong Jiang, Yu Wang, Siyu Wang, Sheng Bi, Jiangcheng Chen

“…The proposed algorithm ensures synchronized multi-limb motion while maintaining dynamic balance, utilizing real-time feedback from force, torque, and inertia sensors. …”
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Research and Application of Power Dispatching Speech Recognition Based on Deep Neural Networks by Haitao Yu, Xuqiang Wang, Jian Zheng, Xiaoxi Zhou

“…Due to the computational resource consumption of the decoding module and the impact of a noisy environment on speech recognition system, this paper designs a real-time multi-stage speech preprocessing algorithm. The algorithm changes the traditional streaming recognition mode of detecting endpoints while recognizing. …”
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A Method for Enhancing Inventory Efficiency of Densely Stacked Tags in RFID Cabinets by Chengzhen Ma, Jia Chai, Kaiqi Ren, Tingting Xie, Zhicheng Ruan, Yuzhu Liu, Dan Zhang, Suiping Jiang

“…Comprehensive experiments are conducted to validate the proposed algorithm’s feasibility. The experimental results show that for 560 stacked tags, the proposed algorithm achieves 100% inventory accuracy while reducing inventory time by 40%, thereby significantly enhancing the efficiency of tag inventory management.…”
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Application Scheduling in Mobile Cloud Computing with Load Balancing by Xianglin Wei, Jianhua Fan, Ziyi Lu, Ke Ding

“…Then, after formulating the application scheduling problems in HLMCM and bringing forward the Hybrid Ant Colony algorithm based Application Scheduling (HACAS) algorithm, we finally validate the efficiency of the HACAS algorithm by simulation experiments.…”
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Research on the cooperative offloading strategy of sensory data based on delay and energy constraints by Peiyan YUAN, Saike SHAO, Ran WEI, Junna ZHANG, Xiaoyan ZHAO

“…The edge offloading of the internet of things (IoT) sensing data was investigated.Multiple edge servers cooperatively offload all or part of the sensing data initially sent to the cloud center, which protects data privacy and improves user experience.In the process of cooperative offloading, the transmission of the sensing data and the information exchange among edge servers will consume system resources, resulting in the cost of cooperation.How to maximize the offloading ratio of the sensing data while maintaining a low collaboration cost is a challenging problem.A joint optimization problem of sensing data offload ratio and cooperative scale satisfying the constraints of network delay and system energy consumption was formulated.Subsequently, a distributed alternating direction method of multipliers (ADMM) via constraint projection and variable splitting was proposed to solve the problem.Finally, simulation experiments were carried out on MATLAB.Numerical results show that the proposed method improved the network delay and energy consumption compared to the fairness cooperation algorithm (FCA), the distributed optimization algorithm (DOA), and multi-subtasks-to-multi-servers offloading scheme (MTMS) algorithm.…”
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Distributed Formation Control with Obstacle and Collision Avoidance for Hypersonic Gliding Vehicles Subject to Multiple Constraints by Zhen Zhang, Yifan Luo, Yaohong Qu

“…The actual control input solver adopts a feasible solution process to calculate the actual control signals while dealing with constraints. Finally, extensive numerical simulations are implemented to unveil the proposed algorithm’s performance and superiority.…”
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Compensation for Matrix Effects in High-Dimensional Spectral Data Using Standard Addition by Elena Khanonkin, Israel Schechter, Itai Dattner

“…A performance evaluation shows the algorithm compensates effectively for matrix effects, outperforms previously published standard addition algorithms and direct applications of multivariate chemometric algorithms, and is robust to variations in SNR and matrix effect intensity.…”
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Automatic Vehicles’ Trajectories Optimization on Highway Exclusive Lanes by Lingjuan Chen, Yangbo Ruan, Yiquan Gou

“…The paper proposes a model that aims to search for optimal trajectories and minimize total travel time for AVs with multiple initial and target states while averting crashes and conforming to vehicles’ kinetic. …”
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CLDP-pFedAvg: Safeguarding Client Data Privacy in Personalized Federated Averaging by Wenquan Shen, Shuhui Wu, Yuanhong Tao

“…Furthermore, we provide a convergence analysis of the clipping-enabled differentially private meta-based FedAvg algorithm. The proposed strategy is evaluated across various datasets, and the findings indicate that our approach offers improved privacy protection while maintaining model accuracy.…”
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MARKETING STRATEGY OF THE UNIVERSITY: FORMATION AND ITS EFFECTIVENESS EVALUATION REALIZATION by Natalia К. Shemetova

“…The study is aimed at developing an algorithm of formation of university’s marketing strategy and the development of evaluating methods of its effectiveness realization. …”
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An efficient real-time signal processing method for satellite laser ranging. by Jinyu Wang, Wei Zhu, Weiming Gong

“…However, the recognition rate of the single-stage Graz filtering algorithm for high-orbit satellites is less than 1%, and traditional two-stage filtering algorithms, such as polynomial fitting and iterative filtering techniques, exhibit high false and missed detection rates. …”
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Real-Time Fire Detection Method Based on Computer Vision for Electric Vehicle Charging Safety Monitoring by Yuchen Gao, Qing Yang, Shiyu Zhang, Dexin Gao

“…Therefore, a target detection model based on the improved YOLOv5 (You Only Look Once) algorithm is proposed for the features generated by lithium battery combustion, using the K-means algorithm to cluster and analyse the target locations within the dataset, while adjusting the residual structure and the number of convolutional kernels in the network and embedding a convolutional block attention module (CBAM) to improve the detection accuracy without affecting the detection speed. …”
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Blood Scattering Model for Pulsed Doppler by Piotr KARWAT, Andrzej NOWICKI, Marcin LEWANDOWSKI

“…Generated data are used for optimization and validation of Doppler signals processing algorithms. The algorithm is based on the finite elements method FEM. …”
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Study on adaptive modulation in D2D communications over Nakagami-m fading channel by Xiaoping ZENG, Haiwei MAO, Fan YANG, Xin JIAN, Shiqi LI, Xin JIANG, Wei FANG

“…A novel adaptive modulation based on nondata-aided error vector magnitude (NDA-EVM) was proposed to solve the problem of lower spectral efficiency in device to device (D2D) communication over Nakagami-m fading channel.The NDA-EVM was used to evaluate the channel quality.The relationship between NDA-EVM and symbol error ratio (SER) was derived according to the maximum likelihood method.Thereafter,the adaptive modulation mechanism of MQAM with the SER constraint was designed.Considering the joint effect of finite-length queuing and fading channel,the system packet loss rate and spectral efficiency was analyzed.Theoretical analysis and simulation experiments show that NDA-EVM based adaptive modulation accurately gives the modulation threshold and evaluates the relationship between QoS and packet loss rate,the proposed algorithm improves system spectral efficiency while maintaining low algorithm complexity,spectral efficiency improves by 0.752 bit·(s·Hz)^-1,compared with traditional algorithm.…”
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A Novel Spectrum Sensing Method for Multiple Unknown Signal Sources Using Frequency Domain Energy Detection and DBSCAN by Rui Gao, Guanghui Yan, Ruiting Niu, Wenwen Chang, Tianfeng Yan, Chunyang Tang

“…The proposed method was implemented using the GNU Radio toolkit for efficient acquisition and processing of in-phase and quadrature (I/Q) data from software-defined radio (SDR) hardware, and transformed this data into power spectral density (PSD) for analysis. The FDED algorithm detects signal occupancy in sub-channels, while FDNE calculates an adaptive threshold based on noise variance estimates. …”
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Corrosion rate prediction for long-distance submarine pipelines based on MWIWOA-SVM by Zhengshan LUO, Haipeng LYU, Jihao LUO

“…The extended search mode was refined by integrating the simplex method, while the optimization capability of the Whale Optimization Algorithm (WOA) was enhanced with Levy flight to improve step length. …”
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