Spectral Radiative Properties of a Liquid n-Octane Droplet in the Midinfrared Region by Liang Zhao, Chaoyu Jing, Yu Jin, Jiangping Chen, Ke Yin, Sujun Yang, Bingqing Liu, Xiao Han, Jianyu Tan

“…The numerical results indicate that, with increasing temperature, the absorption efficiency factor slightly decreases, and the variation trend of the scattering efficiency factor is more complicated. …”
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Research on Capacity Optimization Configuration of Wind-solar-storage-load Micro-grid System Based on Energy Router by ZHANG Jietian, LI Chi

“…Compared with the traditional modeling method in which converter efficiency is regarded as a fixed value, this paper used the piecewise linear method to describe the variation characteristics of the converter efficiency of the micro-grid system more accurately with the output power. …”
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Wear fault diagnosis in hydro-turbine via the incorporation of the IWSO algorithm optimized CNN-LSTM neural network by Fang Dao, Yun Zeng, Yidong Zou, Jing Qian

“…Abstract When a hydropower unit operates in a sediment-laden river, the sediment accelerates hydro-turbine wear, leading to efficiency loss or even shutdown. Therefore, wear fault diagnosis is crucial for its safe and stable operation. …”
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Simulation of different modes of heat transfer on a parabolic trough solar collector by Loubna Benhabib, Yacine Marif, Zakia Hadjou Belaid, Abdelmadjid Kaddour, Boumediène Benyoucef, Michel Aillerie

“…The system of equations obtained is solved by the finite difference method. The results for a typical day are the variation in the temperature of the heat transfer fluid, the absorber tube, and the glass envelope. …”
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Power Indices in the Context of Social Learning Behaviour in Social Networks by Ruili Shi, Chunxiang Guo, Xin Gu

“…This paper puts forward the concept of integrated power, synthetically measures the voters’ ability to influence the results of decision-making by influencing others through social learning, considering the interactions between decision-makers in social networks, and offers a method for measuring integrated power. Based on the theory and model of social learning, we analyze the influence of social learning on the voting process and power indices from the perspective of individuals’ professional level, position within the social network structure, relationship closeness, and learning efficiency. …”
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Survey on the deployment and design for regular topology structures in wireless sensor networks by Wen-xiang LI, Ya-jie MA, Jun XU, Jian-feng YANG

“…In wireless sensor networks,such regular topology structures as Square,Hexagon and Triangle could fully cover the area to be monitored,provide accurate positioning for special events,and achieve better network performance.In order to provide valuable guidelines for WSN design and optimization,related works on regular topology structures was surveyed.By the analysis on the index of Area per Node,the deployment method and efficiency of regular topology structures under such cases as full coverage,k-coverage and l-connectivity was explored.the performance,variation and application scenarios in such aspects as network connectivity,energy consumption,transmission performance,routing scheme and MAC protocol was summarized.The optimal application conditions for each structure together with several directions for further research were proposed.…”
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QUALITY EVALUATION OF THE TPP POWER GENERATING UNITS WEAR RECONDITIONING by E. M. Farhadzadeh, A. Z. Muradaliyev, Yu. Z. Farzaliyev

“…The study demonstrates the assessment criteria dependence on the character of reliability and economical efficiency of performance variation after the repair with increase or decrease of the technical-and-economic indexes in reference to their mean, minimum and maximum values before the repair. …”
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Quasiparticle Cooling Algorithms for Quantum Many-Body State Preparation by Jerome Lloyd, Alexios A. Michailidis, Xiao Mi, Vadim Smelyanskiy, Dmitry A. Abanin

“…In all cases, we are able to efficiently cool into the many-body ground state. The effects of noise, which limits efficiency of variational quantum algorithms in near-term quantum processors, are investigated through the lens of the kinetic theory: we show how the steady-state quasiparticle populations depend on the noise rate, and we establish maximum noise values for achieving high-fidelity ground states. …”
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Statistical Identification of Parameters for Damaged FGM Structures with Material Uncertainties in Thermal Environment by Yalan Xu, Yu Qian, Kongming Guo

“…The numerical simulation results show the efficiency and effectiveness of the presented method for the identification of material parameter variability by using the measurable modal parameters of damaged FGM structures.…”
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Thermal pure states for systems with antiunitary symmetries and their tensor network representations by Yasushi Yoneta

“…However, their inherently large entanglement makes it difficult to represent efficiently and limits their use in analyzing large systems. …”
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A feature enhancement FCOS algorithm for dynamic traffic object detection by Tuqiang Zhou, Wei Liu, Haoran Li

“…There has been significant difference and scale variation of object features for different road traffic participants (RTPs), meanwhile traditional Convolutional Neural Networks (CNNs) was difficult to extract object features efficiently for small targets. …”
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Low‐Altitude High‐Latitude Stratospheric Aerosol Injection Is Feasible With Existing Aircraft by Alistair Duffey, Matthew Henry, Wake Smith, Michel Tsamados, Peter J. Irvine

“…For altitudes up to around 14 km, high‐latitude injection maximizes global forcing efficiency. Aerosol lifetime variation is the largest contributor to changes in efficiency with injection location. …”
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An innovative complex-valued encoding black-winged kite algorithm for global optimization by Chengtao Du, Jinzhong Zhang, Jie Fang

“…Abstract The black-winged kite algorithm (BKA) constructed on the black-winged kites’ migratory and predatory instincts is a revolutionary swarm intelligence method that integrates the Leader tactic with the Cauchy variation procedure to retrieve the expansive appropriate convergence solution. …”
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Molecular dynamics simulations of the lattice thermal conductivity of Cu–Ni alloys by Xiao-Ping Wei, Xue Li, Ya-Ling Zhang

“…The effects of temperature, irradiation damage, and tensile strain on the lattice thermal conductivity of Cu–Ni alloys were investigated using the equilibrium molecular dynamics method. The microphysical mechanism of the variation of the lattice thermal conductivity of Cu–Ni alloys is revealed in terms of the density of phonon states, the variation of phase components, and the type, number, and distribution of defects. …”
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Investigating the stability of the yield strength of the friction stir welding joint of similar amorphous thermoplastic based on the Ordered Weighted Averaging operators by N. Sadeghian, A.R. Chaji

“…Conical tools lead to the most stable joint with a 10% variation on the weld line (for run #20) and the most strengthened one with an 18% variation on the weld line (for run #30) with 80% and 100% efficiency compared to the base material, respectively.…”
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Blind Parameter Identification of MAR Model and Mutation Hybrid GWO-SCA Optimized SVM for Fault Diagnosis of Rotating Machinery by Wenlong Fu, Jiawen Tan, Xiaoyuan Zhang, Tie Chen, Kai Wang

“…Signals collected from different types of faults were firstly split into sets of intrinsic mode functions (IMFs) by variational mode decomposition (VMD), the decomposing mode number K of which was preset with central frequency observation method. …”
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VAE-Based Real-Time Anomaly Detection Approach for Enhanced V2X Communication Security by Yonas Teweldemedhin Gebrezgiher, Sekione Reward Jeremiah, Stefanos Gritzalis, Jong Hyuk Park

“…By delivering high performance, adaptability, and efficiency, our method provides a reliable way to detect and prevent cyberattacks, thereby making intelligent transportation systems safer and more dependable.…”
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Use of Oxalic-Acid-Modified Stellerite for Improving the Filter Capability of PM2.5 of Paper Composed of Bamboo Residues by Hua Chen, Jian Lou, Fei Yang, Jia-nan Zhou, Yan Zhang, Huabo Yao

“…With the variation in the addition of modified stellerite from 3 to 15%, while simultaneously maintaining the basis weight constant at 60 gm−2, the filtration efficiency of paper sheets first increased and then decreased later; thus the optimum stellerite content was found to be 9%. …”
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Applicability of Different Assimilation Algorithms in Crop Growth Model Simulation of Evapotranspiration by Jingshu Wang, Ping Li, Rutian Bi, Lishuai Xu, Peng He, Yingjie Zhao, Xuran Li

“…The calibrated CERES-Wheat ET characteristic curve effectively reflects the ET variation throughout the winter wheat growth period while being consistent with the trend and magnitude of ESTARFM ET variation. (3) The correlation between Ensemble Kalman filter (EnKF) ET and ESTARFM ET (R² = 0.7119, <i>p</i> < 0.01) was significantly higher than that of Four-Dimensional Variational data assimilation (4DVar) ET (R² = 0.5142, <i>p</i> < 0.01) and particle filter (PF) ET (R² = 0.5596, <i>p</i> < 0.01). …”
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Real-Time Tracking by Double Templates Matching Based on Timed Motion History Image with HSV Feature by Zhiyong Li, Pengfei Li, Xiaoping Yu, Mervat Hashem

“…The experimental results show that the proposed method can efficiently handle the scale variation and pose change of the rigid and nonrigid objects, even in illumination change and occlusion visual environment.…”
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