Enhanced Performance of New Scaling-Free CORDIC for Memory-Based Fast Fourier Transform Architecture by C. Paramasivam, Sandeep Singh Chauhan, Veerpratap Meena, A. Sreejagathi, B. A. V. N. Hasini, K. L. K. Kishore, T. V. N. G. Vamsikrishna, M. Durga Ananta Sai, Abdessamad Didi

“…The angle of convergence (AOC) of the algorithm is 57.1°, and it is extended to 180° using the pre-rotation operation and optimized shift value prediction technique. …”
Get full text

Impact and compensation of sample clock offset in I-CFDMA uplink by Dan DING, Nai-ping CHENG, Yu-rong LIAO

“…To achieve the sample clock synchronization in the interleaved code and frequency division multiple access(I-CFDMA)uplink,the I-CFDMA uplink model was established,and the disturbance of the sample clock offset(SCO)on the system model was discussed,in addition,the signal time shift,phase rotation,multi-user interference(MUI)and inter-carrier interference(ICI)caused by SCO were analyzed quantitatively.On this basis,a compensation method of multi-user SCO was proposed.For one thing,the relevant metric function was modified considering the SCO of each user; for another thing,a multi-user detection(MUD)algorithm based on harmony search was proposed.This algorithm has a higher efficiency than the commonly-used genetic algorithm(GA),as well as a performance approximate to that of optimal detection without SCO but with <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML"> <mfrac> <mn>1</mn> <mrow> <mn>64</mn></mrow> </mfrac> </math></inline-formula> computational burden.The computer simulation results validate the conclusions obtained.…”
Get full text

Standardizing the Ignition Delay Time Measurements of Rapid Compression Machine: An Inverse Application of the Livengood–Wu Integral Method by Zhonghao Zhao, Yingtao Wu

“…However, unavoidable facility effects, such as compression and heat loss, shift the measurements away from ideal (adiabatic and constant volume) values to varying extents. …”
Get full text

Towards a Standard Benchmarking Framework for Domain Adaptation in Intelligent Fault Diagnosis by Mohammed M. Farag

“…We demonstrate the framework&#x2019;s capabilities and application mechanisms using a CNN classifier and an adversarial DA algorithm. Benchmarking results reveal significant accuracy drops from 99% to 36% and 45% with variances of 15% and 20% for the CWRU and PU datasets, respectively, under controlled domain shift conditions. …”
Get full text

Scaffolding decision spaces in decision support systems: Using plagiarism screening software in editorial offices by Felicitas Hesselmann

“…The implications of this shift are discussed, emphasizing the need for advancing our understanding of power dynamics inherent in algorithm–human interactions within automated decision-making systems.…”
Get full text

StratLearn-z: Improved photo-$z$ estimation from spectroscopic data subject to selection effects by Chiara Moretti, Maximilian Autenrieth, Riccardo Serra, Roberto Trotta, David A. van Dyk, Andrei Mesinger

“…We benchmark our results against the GPz algorithm, quantifying the performance of the two algorithms with a set of metrics. …”
Get full text

Optimization of light exposure and sleep schedule for circadian rhythm entrainment. by Jiawei Yin, A Agung Julius, John T Wen

“…We solve the time-optimal entrainment problem for the two-process model for both scenarios using an extension of the gradient descent algorithm to non-smooth systems. To illustrate the efficacy of our time-optimal entrainment strategies, we consider two common use cases: transmeridian travelers and shift workers. …”
Get full text

Analysis of the Calculation of a Plasma Sheath Using the Parallel SO-DGTD Method by Qian Yang, Bing Wei, Linqian Li, Debiao Ge

“…To demonstrate our algorithm, a plasma sheath model of the high-speed blunt cone was established based on the results of the multiphysics software, and our algorithm was used to extract the radar cross-section (RCS) versus different incident angles of the model.…”
Get full text

Probabilistic phase labeling and lattice refinement for autonomous materials research by Ming-Chiang Chang, Sebastian Ament, Maximilian Amsler, Duncan R. Sutherland, Lan Zhou, John M. Gregoire, Carla P. Gomes, R. Bruce van Dover, Michael O. Thompson

“…The algorithm estimates probabilities for phase combinations without requiring additional phase space information or training. …”
Get full text

Simultaneous vehicular location and velocity detection towards 6G integrated communication and sensing by Bingpeng ZHOU, Shanshan MA

“…Joint vehicle location and velocity estimation algorithm was proposed for 6G millimeter wave integrated communication and sensing (ICAS), which was challenging due to random channel fading and multipath interference.A novel receiver state sensing (RSS) algorithm was proposed to simultaneously estimate vehicle (receiver) location and velocity, in conjunction with reflection channel estimation.Moreover, a novel multi-carrier Doppler calibration scheme was developed to reduce the disturbance of Doppler effect on RSS performance via frequency shift compensation.The impact of system parameters, e.g., signal bandwidth, the number of transceiver antenna and sub-carriers, on RSS performance was evaluated as well.It was verified by simulations that the proposed RSS algorithm outperformed state-of-the-art baseline methods due to the employed problem-specific system design.In addition, it was shown by simulations that the achieved RSS error was reduced with the increasing of sub-carrier frequency, the number of transceiver antennas and sub-carriers, and it was increased with the increasing distance between base station and vehicle receiver.Particularly, the vehicle location estimation accuracy was increasing with system bandwidth, but it was invariant with central carrier frequency, since only baseband features of received signal were employed for vehicle localization.In contrast, the vehicle velocity detection accuracy was increasing with central carrier frequency, yet it was insensitive to system bandwidth, given the fixed number of sub-carriers.…”
Get full text

A Quantitative Evaluation of UAV Flight Parameters for SfM-Based 3D Reconstruction of Buildings by Inho Jo, Yunku Lee, Namhyuk Ham, Juhyung Kim, Jae-Jun Kim

“…Under controlled environmental conditions on representative building structures, key variables were manipulated, and all collected data were processed through a consistent SfM pipeline based on the SIFT algorithm. Quantitative evaluation results using various analytical methodologies (multiple regression analysis, Kruskal–Wallis test, random forest feature importance, principal component analysis including K-means clustering, response surface methodology (RSM), preference ranking technique based on similarity to the ideal solution (TOPSIS), and Pareto optimization) revealed that the basic shooting pattern ‘type’ has a significant and statistically significant influence on all major SfM performance metrics (reprojection error, final point count, computation time, reconstruction completeness; Kruskal–Wallis <i>p</i> < 0.001). …”
Get full text

Unraveling the structural and functional consequences of non-synonymous single-nucleotide polymorphisms (nsSNPs) in human SOCS2: an in silico approach by Tanvir Hossain, Md. Nur Islam, Md. Anwar Hossain, Md. Mofizur Rahman, Mohammed Mafizul Islam, Shipan Das Gupta

“…Results In this study, we examined nsSNPs in the human SOCS2 gene to evaluate their effects on protein stability, structure, and function through in silico approaches. SIFT; PhD-SNP, PROVEAN, PMut, PANTHER, PolyPhen-2, SNPs&GO, I-Mutant 3.0, and MUpro were the bioinformatics tools used to forecast the most harmful SNPs. …”
Get full text

Enhanced Landslide Visualization and Trace Identification Using LiDAR-Derived DEM by Jie Lv, Chengzhuo Lu, Minjun Ye, Yuting Long, Wenbing Li, Minglong Yang

“…Finally, a threshold is determined through a fractal model, and the Mean-Shift algorithm is utilized for clustering and denoising to extract landslide traces. …”
Get full text

Variability-Aware Machine Learning Model Selection: Feature Modeling, Instantiation, and Experimental Case Study by Cristina Tavares, Nathalia Nascimento, Paulo Alencar, Donald Cowan

“…Specifically, this shift is impacting ML model selection, which is one of the key phases in this process. …”
Get full text

Experimental Demonstration of 16-QAM DD-SEFDM With Cascaded BPSK Iterative Detection by Jun Huang, Qi Sui, Zhaohui Li, Fei Ji

“…For 16-QAM SEFDM, the decoding complexity of FSD can be reduced to 1/4 with CBID-FSD replacing the iterative detection FSD algorithm to keep the same bit error rate. A 16&#x223C;20 Gb/s intensity-modulated single-sideband 16-QAM optical SEFDM is demonstrated by using the CBID-FSD algorithm.…”
Get full text

Intelligent CSI feedback method for fast time-varying FDD massive MIMO system by Yong LIAO, Shuai WANG, Ning SUN

“…In the frequency division duplexing (FDD) massive multiple-input multiple-output (MIMO) system, the channel state information (CSI) matrix existed noise caused by the wireless channel interference and the time correlation caused by Doppler shift.Because of these effects, the communication system couldn’t guarantee the requirements of reliability and low delay.An intelligent CSI feedback method was adopted.The convolutional neural network (CNN) and batch normalization (BN) network was used to extract the noise in the CSI matrix and learned the spatial structure of the channel.The time correlation between the CSI matrices through the attention mechanism was extracted to improve the accuracy of CSI reconstruction.The data was generated by the standard fast time-varying channel model simulation to train the network offline.System simulation and analysis show that the proposed method can effectively suppress the influence of noise and extract the time correlation caused by Doppler.Compared with the traditional CSI compression feedback algorithm and CsiNet algorithm, the proposed method has better NMSE and cosine similarity performance.…”
Get full text

Intelligent CSI feedback method for fast time-varying FDD massive MIMO system by Yong LIAO, Shuai WANG, Ning SUN

“…In the frequency division duplexing (FDD) massive multiple-input multiple-output (MIMO) system, the channel state information (CSI) matrix existed noise caused by the wireless channel interference and the time correlation caused by Doppler shift.Because of these effects, the communication system couldn’t guarantee the requirements of reliability and low delay.An intelligent CSI feedback method was adopted.The convolutional neural network (CNN) and batch normalization (BN) network was used to extract the noise in the CSI matrix and learned the spatial structure of the channel.The time correlation between the CSI matrices through the attention mechanism was extracted to improve the accuracy of CSI reconstruction.The data was generated by the standard fast time-varying channel model simulation to train the network offline.System simulation and analysis show that the proposed method can effectively suppress the influence of noise and extract the time correlation caused by Doppler.Compared with the traditional CSI compression feedback algorithm and CsiNet algorithm, the proposed method has better NMSE and cosine similarity performance.…”
Get full text

Energy efficiency optimization study of sub-connected ARIS-assisted ISAC system over millimeter wave channels by WU Xiangkai, YUE Dianwu, YUAN Meng, XU Miao, YANG Jianing

“…An algorithm based on fractional programming (FP) theory, alternating optimization (AO) technique, and successive convex approximation (SCA) technique was proposed to deal with the non-convex problem. …”
Get full text

Bi-Objective Re-Entrant Hybrid Flow Shop Scheduling considering Energy Consumption Cost under Time-of-Use Electricity Tariffs by Kaifeng Geng, Chunming Ye, Zhen hua Dai, Li Liu

“…The experimental results show that IMOALO algorithm is superior to multiobjective ant lion optimization (MOALO) algorithm, NSGA-II, and MOPSO in terms of the convergence, dominance, and diversity of nondominated solutions. …”
Get full text

A novel interest drift sensitivity academic paper recommender based on implicit feedback by Weiming Huang, Baisong Liu, Zhaoliang Wang

“…To overcome the above challenges, this paper proposes an implicit feedback-based interest drift-aware academic paper recommendation algorithm. The algorithm explicitly integrates the user’s interest drift into the model through regularization. …”
Get full text