Low-complexity variable step-size sign algorithm based on Weibull distribution function by Rui ZHANG, Guchen SHI, Banteng LIU, Yourong CHEN

“…The performance of the traditional second-order statistics based channel estimation methods degrade seriously in the presence of impulsive noises.In order to deal with this problem,a Weibull distribution function based variable step-size sign algorithm for channel estimation under impulsive noises was proposed.The proposed method was robust against impulsive noises and it could improve the convergence speed of the sign algorithm with the Weibull distribution function based variable step-size method.Computational complexity analysis and simulation results demonstrate that the proposed algorithm can achieve the same steady-state estimation error with faster convergence speed and lower computational complexity.…”
Get full text

Part of Speech Tagging: Shallow or Deep Learning? by Robert Östling

“… Deep neural networks have advanced the state of the art in numerous fields, but they generally suffer from low computational efficiency and the level of improvement compared to more efficient machine learning models is not always significant. …”
Get full text

Diffuse Gallium-67 Accumulation in the Left Atrial Wall Detected Using SPECT/CT Fusion Images by Kohei Kotani, Joji Kawabe, Shigeaki Higashiyama, Atsushi Yoshida, Susumu Shiomi

“…We show a 66-year-old female patient with atrial fibrillation and diffuse thickening of the left atrial wall due to acute myocarditis, who presented diffuse abnormal accumulation of gallium-67 in the left atrium on single photon emission computed tomography/computed tomography (SPECT/CT) fusion images. …”
Get full text

Midpoint Derivative-Based Closed Newton-Cotes Quadrature by Weijing Zhao, Hongxing Li

“…It is proved that these kinds of quadrature rules obtain an increase of two orders of precision over the classical closed Newton-Cotes formula, and the error terms are given. The computational cost for these methods is analyzed from the numerical point of view, and it has shown that the proposed formulas are superior computationally to the same order closed Newton-Cotes formula when they reduce the error below the same level. …”
Get full text

Algebraic Verification Method for SEREs Properties via Groebner Bases Approaches by Ning Zhou, Jinzhao Wu, Xinyan Gao

“…This work presents an efficient solution using computer algebra system to perform linear temporal properties verification for synchronous digital systems. …”
Get full text

Study on the Contour Design of Disc Cam with Offset Translation Pushrod based on Solid Works and Matlab by Liu Xueshen, Wang Zhen, Ai Zetan, Jiang Zhiqiang

“…The traditional methods of designing cam profile always leads to complicated calculation,low computational accuracy and efficiency. But by using Matlab programming language,the computational accuracy can be increased and the design period can be shortened in the process of solving and drawing cam profile.Firstly,the data points on the curve that are drawn in the Matlab can be derived. …”
Get full text

Research on end-to-end network link delay inference based on link reconstruction-destruction by Yong-sheng LIANG, Bo GAO, Yue ZOU, Ji-hong ZHANG, Nai-tong ZHANG

“…Based on two assumptions,inference model and end-to-end delay data acquisition,an approach to end-to-end network internal link delay inference based on link reconstruction-deconstruction (LRD) was proposed.Pseudo likelihood estimation (PLE) was adopted and the inference problem was divided into independent sub-problems.Inference units with definite solution are determined by LRD.By means of controlling average sampling precision and decreasing inference unit links,the computation complexity of link delay inference was significantly lowered.Experimental study was performed based on model computation and NS2 simulation platform.Theoretical analysis and experimental results show that the approach is accurate and effective.…”
Get full text

Prediction of a Small-Scale Pool Fire with FireFoam by Camilo Andrés Sedano, Omar Darío López, Alexander Ladino, Felipe Muñoz

“…A computational model using Large Eddy Simulation (LES) for turbulence modelling was implemented, by means of the Eddy Dissipation Concept (EDC) combustion model using the fireFoam solver. …”
Get full text

Seismic Resistance of Non-Linearly Deformable Large-Span Spatial Structures of Unique Buildings by Saidmaksud R. Razzakov

“…Analytical, computer and experimental modeling methods are applied in the study of seismic resistance and changing dynamic parameters of long-term loaded non-linearly deformed large-span spatial shell structures. …”
Get full text

Model-Based Predictive Detector of a Fire inside the Road Tunnel for Intelligent Vehicles by Marián Hruboš, Dušan Nemec, Emília Bubeníková, Peter Holečko, Juraj Spalek, Michal Mihálik, Marek Bujňák, Ján Andel, Tomáš Tichý

“…The fire scenarios are computed by HW/SW tool TuSim regarding the parameters of the real road tunnel and then the results are presented to the vehicles via car-to-infrastructure communication link. …”
Get full text

Related-Key Cryptanalysis on the Full PRINTcipher Suitable for IC-Printing by Yuseop Lee, Kitae Jeong, Changhoon Lee, Jaechul Sung, Seokhie Hong

“…To recover the 80-bit secret key of PRINTcipher-48, our attack requires 2 47 related-key chosen plaintexts with a computational complexity of 2 60 · 62 . In the case of PRINTcipher-96, we require 2 95 related-key chosen plaintexts with a computational complexity of 2 107 . …”
Get full text

Hierarchical Newton Iterative Parameter Estimation of a Class of Input Nonlinear Systems Based on the Key Term Separation Principle by Cheng Wang, Kaicheng Li, Shuai Su

“…In order to improve the computation complexity, the key term separation principle is introduced to avoid the redundant parameter estimation. …”
Get full text

A QP-Free Algorithm for Finite Minimax Problems by Daolan Han, Jinbao Jian, Qinfeng Zhang

“…Due to the expensive computation for solving QP subproblems with inequality constraints of SQP algorithms, in this paper, a QP-free algorithm which is also called sequential systems of linear equations algorithm is presented. …”
Get full text

On the Degree of the GCD of Random Polynomials over a Finite Field by Kui Liu, Meijie Lu

“…Here, Fq is the finite field with q elements. Firstly, we compute the probability distribution of the degree of the gcd of random and monic polynomials with fixed degree over Fq. …”
Get full text

Security of the industrial Internet of things and localization of the core technology by Guangnan NI

“…With the industrial control system as the breakthrough point,the security problems and national network security strategy of the industrial Internet of things were analyzed in detail,and the importance of the localization of the core technology was expounded.Taking the desktop computer technology,which was one of the core technologies of the industrial Internet of things,as an example,the necessity and favorable conditions for breaking the Wintel system monopoly was expounded,two ways and key technologies to replace the Wintel system were given,and the present status and application results of the security controlled desktop computer technology system in China was analyzed.Finally,suggestions for the future development of China’s network security and information technology were put forward.…”
Get full text

Optimization of waste heat recovery system for mobile compressor unit for compressing natural gas by I. D. Obukhov

“…This paper presents the methodology and results of optimization of the waste heat recovery system (WHRS) of a mobile compressor unit (MCU) designed to compress natural gas using a computer model in the MatLab with the CoolProp thermodynamic package. …”
Get full text

SafeRespirator: Comprehensive Database for N95 Filtering Facepiece Respirator Leakage Detection Including Infrared, RGB Videos, and Quantitative Fit Testing by Geoffrey Marchais, Mohamed Arbane, Barthelemy Topilko, Jean Brousseau, Clothilde Brochot, Yacine Yaddaden, Ali Bahloul, Xavier Maldague

Get full text

S‐PLM: Structure‐Aware Protein Language Model via Contrastive Learning Between Sequence and Structure by Duolin Wang, Mahdi Pourmirzaei, Usman L. Abbas, Shuai Zeng, Negin Manshour, Farzaneh Esmaili, Biplab Poudel, Yuexu Jiang, Qing Shao, Jin Chen, Dong Xu

Get full text

A Controllable Distributed Energy Resource Transformer-Based Grounding Scheme for Microgrids by Dingrui Li, Yiwei Ma, Yu Su, Chengwen Zhang, Lin Zhu, He Yin, Fred Wang, Leon M. Tolbert

Get full text

Real-Time Plant Health Detection Using Deep Convolutional Neural Networks by Mahnoor Khalid, Muhammad Shahzad Sarfraz, Uzair Iqbal, Muhammad Umar Aftab, Gniewko Niedbała, Hafiz Tayyab Rauf

“…It is now feasible to diagnose diseases using mobile devices as a result of the increase in mobile phone usage globally and recent advancements in computer vision due to deep learning. To conduct this research, firstly, a dataset was created that contained images of money plant leaves that had been split into two primary categories, specifically (i) healthy and (ii) unhealthy. …”
Get full text