Cryptanalysis on Two Kinds of Number Theoretic Pseudo-Random Generators Using Coppersmith Method by Ran Zhang, Jingguo Bi, Lixiang Li, Haipeng Peng

“…Pseudo-random number generator (PRNG) is a type of algorithm that generates a sequence of random numbers using a mathematical formula, which is widely used in computer science, such as simulation, modeling applications, data encryption, et cetera. The efficiency and security of PRNG are closely related to its output bits at each iteration. …”
Get full text

An OFDM Signal Enhancement and Demodulation Method Based on Segmented Asymmetric Bistable Stochastic Resonance by Gaohui Liu, Xiaqiang Chu

Get full text

Economic assessment of energy consumption and greenhouse gas emissions from wheat production in Ardabil provience by Jabraeil Taghinazhad, َAdel Vahedi, Fayaz Ranjbar

“…The being Independent on agricultural productions lead to take more attention to modern methods and the objective of all these methods is increasing the performance with the efficient use of inputs or optimizing energy consumptions in agricultural systems. …”
Get full text

Investigating the Bounds of Quality Factor for Class-E Series-Tuned RF Power Amplifiers and Their Computer-Aided Optimization by Pallab Kr Gogoi, Ayan Sharma, Jurgen Vanhamel, Jérôme Loicq

“…This paper presents a comprehensive analysis of Class-E series-tuned radio-frequency power amplifiers (RFPAs), focusing on their design and optimization for high efficiency and performance. However, achieving optimal performance involves navigating trade-offs among efficiency, bandwidth, harmonic suppression, output power capability, and device stress. …”
Get full text

Interfacial behavior prediction and regulation on inclined superhydrophobic surfaces with transfer learning-assisted method by Yibin Liu, Konghua Yang, Yuchao Luo, Jiawei Xiong, Yunhong Liang, Zhihui Zhang, Chunbao Liu

“…Based on these insights, the synergistic TL-assisted method accurately optimizes parameters for two instances of self-cleaning regulation (SCR) and droplet-based electrical generator (DEG) electrification output, respectively. …”
Get full text

Developing Common Set of Weights with Considering Nondiscretionary Inputs and Using Ideal Point Method by Reza Kiani Mavi, Sajad Kazemi, Jay M. Jahangiri

“…Data envelopment analysis (DEA) is used to evaluate the performance of decision making units (DMUs) with multiple inputs and outputs in a homogeneous group. In this way, the acquired relative efficiency score for each decision making unit lies between zero and one where a number of them may have an equal efficiency score of one. …”
Get full text

Research on corn production efficiency and influencing factors of typical farms: Based on data from 12 corn-producing countries from 2012 to 2019. by Jiamei Wang, Xiangdong Hu

“…I selected the corn input and output data of 18 typical farms in 12 countries from 2012 to 2019, used the data envelopment analysis (DEA) model to calculate the technical efficiency of corn production, and built a tobit model to explore the impact of farming methods, input elements, supporting services, and other factors on efficiency. …”
Get full text

Particular aspects of determining reliability indicators of thermoelectric generator modules using experimental data by Petrо Gorskyi

“…Resource tests allowed finding that the relative degradation of output power and efficiency of thermoelectric generator modules is not subject to linear law. …”
Get full text

Accurate Method for Solar Power Generation Estimation for Different PV (Photovoltaic Panels) Technologies by Aissa Meflah, Fathia Chekired, Nadia Drir, Laurent Canale

“…Higher temperatures decrease PV module efficiency and, as a result, their power output. Additionally, fluctuations in solar irradiance directly impact the energy generated by these systems. …”
Get full text

Low complexity hybrid precoding algorithm for massive MIMO based on modified Newton method by Bo HU, Anding WANG, Guiyi WEI

“…A phase tracking algorithm was proposed for massivemultiple-input multiple-output(MIMO) systems based on the modified Newton (MN) method, which effectively reduced the high computational complexity in traditional high-performance hybrid precoding schemes.The algorithm optimized the analog precoding matrix from the perspective ofsub-dimensional vector recovery.In each sub-dimension optimization, the phase tracking method was used to transform the recovery of the analog precoding vectors into an unconstrained nonlinear optimization problem, which was then solved using the MN method.Concurrently, this strategy led to a marked reduction in the computational intricacy pertaining to both the computation of correction factors and the inversion of the Hessian matrix within the framework of the MN method.This was achieved through the insightful incorporation of Gerschgorin’s Disk theorem and the Hermitian matrix block-inverse lemma.Simulation results show that the proposed algorithm has higher spectral efficiency and lower computational complexity than several conventional high-performance hybrid precoding schemes.…”
Get full text

The Impact of New Urbanization on Urban Land Green Use Efficiency in the Middle and Lower Yellow River, China: An Analysis Based on Spatial Correlation Networks by Jianji An, Qiangjun Su, Xuefeng Yuan

“…To fill this gap, this study focused on 60 cities in the middle and lower Yellow River (MLYR) and integrated various methods such as undesired output super-efficiency SBM model, modified gravity model, centrality indexes, random forest, and geographically and temporally weighted regression model. …”
Get full text

Hybrid precoding method for millimeter-wave massive MIMO systems based on IAFS algorithm by Haoyi CHEN, Guangqiu LI, Hui LI

“…The millimeter-wave massive multiple-input multiple-output (MIMO) systems can overcome the adverse effects of the free-space signal path loss through the partial connection hybrid precoding method, which has the advantages of low hardware complexity and high energy efficiency.When the number of input data streams is equal to the number of radio frequency (RF) links, the hybrid precoding method based on partially connected structure and serial interference cancellation can be used.When the number of input data streams is not equal to the number of RF links, a hybrid precoding method based on improved artificial fish swarm (IAFS) algorithm was proposed.The core idea is that based on the spectral efficiency optimization criteria and the characteristics of partial connected structure, the spectral efficiency optimization problem of analog recoding matrix variables was transformed into the spectral efficiency optimization problem based on vector variables, and then the IAFS algorithm was used to solve the spectrum efficiency optimization problem.The simulation results show that the proposed method has good spectral efficiency and energy efficiency under the condition of low signal-to-noise ratio, and is expected to be applied in the real scene.…”
Get full text

Method for Receiving Weak Microwave Photonics Signals Based on Electro-Optical Up-Conversion by Qunsong He, Zijing Zhang, Jiaheng Xie, Zhiqiang Shen, Yuan Zhao

“…The power conversion efficiency and bandwidth have a 10 times promotion compared to similar conversion methods at room temperature. …”
Get full text

Research on the Photovoltaic MPPT Method Based on Improved BP-SVM-ELM Combination Prediction by DAI Bowang, ZHAO Xianggui, ZHU Qiliang

“…In order to solve the problems of maximum power point tracking(MPPT) such as power oscillation and slow tracking speed when using traditional methods, this paper proposed a combined prediction algorithm that considered variables affecting photovoltaic output characteristics. …”
Get full text

Effect of irrigation and mulch levels on growth and yield components, yield, and water use efficiency of hot pepper (capsicum annuum L) in Eastern Ethiopia by Addis Hailu Demo, Kibebew Kibret Tsehai

“…The rising shortage of and competition for irrigation water necessitates the adoption of novel measures that promote efficient water application methods. Deficit irrigation is becoming more popular as a means of reducing water consumption without negatively affecting output in the context of improving water use efficiency. …”
Get full text

Two-dimensional sparse recovery method for channel estimation in massive MIMO OTFS systems by WANG Han, WEN Fangqing, LI Xingwang, WANG Xianpeng

“…Compared to conventional OMP and three-dimensional structured OMP (3D-SOMP) methods, the proposed algorithm was demonstrated to achieve improved channel estimation accuracy and computational efficiency. …”
Get full text

Matrix Method for Modelling of Multicomponent and Multistream Energy Systems and Installations of Thermal Power Plants by Barochkin A.E.

Get full text

Prognosis and factors affecting mortality in patients with acute kidney injury due to cardiorenal syndrome type 1 treated with sustained low-efficiency dialysis by Thanapon Nilmoje, Dhipsukon Pongborriboon, Ussanee Boonsrirat, Sirihatai Konwai, Suntornwit Praditau-Krit, Atthaphong Phongphithakchai

“…Patients and Methods: This is a retrospective cohort study conducted in a tertiary hospital from 2012 to 2022, including 215 CRS type 1 patients treated with SLED. …”
Get full text

Forecasting Shifts in Europe's Renewable and Fossil Fuel Markets Using Deep Learning Methods by Yonghong Liu, Muhammad S. Saleem, Javed Rashid, Sajjad Ahmad, Muhammad Faheem

Get full text

A Multi-Layer Attention Knowledge Tracking Method with Self-Supervised Noise Tolerance by Haifeng Wang, Hao Liu, Yanling Ge, Zhihao Yu

“…The Transformer in MASKT not only solves the problem of long-term dependencies between input and output using an attention mechanism, but also has parallel computing capabilities that can effectively improve the learning efficiency of the prediction model. …”
Get full text