Link stability - based optimal routing path for efficient data communication in MANET by Renisha Pulinchuvallil Salim, Rajesh Ramachandran

Subjects: Get full text

Enhanced novelty approaches for resource allocation model for multi-cloud environment in vehicular Ad-Hoc networks by R. Augustian Isaac, P. Sundaravadivel, V. S. Nici Marx, G. Priyanga

Subjects: Get full text

Detection of Short-Circuit Location in Distribution Mains Line within Functions of Micro-Processor Current Protection by F. A. Romaniuk, A. A. Tishechkin, O. A. Gurjanchik

“…Altogether each of the considered algorithms is operational and ensures obtaining of the required information for efficient realization of functions for detection of damage location.The given propositions can be used while developing algorithms for operation of micro-processor current directed protections of distribution mains lines.…”
Get full text

Robust vector-weighted and matrix-weighted multi-view hard c-means clustering by Zhe Liu, Sarah Aljohani, Sijia Zhu, Tapan Senapati, Gözde Ulutagay, Salma Haque, Nabil Mlaiki

“…In this paper, we first propose a robust vector-weighted multi-view hard c-means (VW-MVHCM) clustering, drawing inspiration from the single-view alternative hard c-means. …”
Get full text

Application of the artificial neural networks for alpha spectrometry by means of plastic detector CR-39 by Yu. Onishchuk, S. Gorbachov, S. Yurchenko

Get full text

NON HIERARCHICAL K-MEANS ANALYSIS TO CLUSTERING PRIORITY DISTRIBUTION OF FUEL SUBSIDIES IN INDONESIA by Ani Budi Astuti, Abdi Negara Guci, Viky Iqbal Azizul Alim, Laila Nur Azizah, Meirida Karisma Putri, Wigbertus Ngabu

“…Therefore, there is a need for appropriate action from the government in determining related policies. K-Means multivariate cluster analysis is a non-hierarchical cluster method that is popularly used, one of which is used in Machine Learning algorithms, especially Unsupervised Learning. …”
Get full text

SAR Images Change Detection Based on Attention Mechanism-Convolutional Wavelet Neural Network by Jiahui E, Lu Wang, Chunhui Zhao, P. Takis Mathiopoulos, Tomoaki Ohtsuki, Fumiyuki Adachi

Subjects: Get full text

Multi-Objective Cluster Classification and Voltage Control Approach for Active Distribution Network Considering Resource Reserve Degree by Jing WANG, Yi YUAN, Yinchi SHAO, Jinqi ZHANG, Ran DING, Yanjiang GONG

Subjects: Get full text

Bone lesions of the tibia: Multimodal iconographic review and diagnostic algorithms, Part 1: Diagnostic algorithms, dysplasia and diaphyseal lesions by Vincent Salmon, Pedro Augusto Gondim Teixeira, Alain Blum

“…This article focuses on the analysis of bone lesions of the tibia, addressing the main diagnostic challenges and imaging strategies used to characterize them. …”
Get full text

Main lobe deceptive jamming suppression based on blind source separation and energy detection for monopulse radar by Zhenhua Liu, Wei Liang, Ning Fu, Liyan Qiao, Jun Zhang

“…Abstract Main lobe deceptive jamming always causes the serious degradation of signal detection ability and angle measurement precision of monopulse radar. …”
Get full text

RESEARCH OF THE HIGH HARMONICS INDIVIDUAL BLADE CONTROL EFFECT ON VIBRATIONS CAUSED BY THE HELICOPTER MAIN ROTOR THRUST by B. S. Kritsky, R. M. Mirgazov, Le Van Chung

“…The paper presents numerical results analysis of main rotor vibration due to helicopter main rotor thrust pulsation.The calculation method, the object of research and numerical research results with the aim to reduce the amplitude of the vibrations transmitted to the hub from the helicopters main rotor by the individual blade control in azimuth by the installation angle of blades cyclic changes are set out in the article. …”
Get full text

Improvement in panchromatic-guided denoising algorithm for research on Beijing SDGSAT-1 luminous remote sensing image denoising algorithm by Lihan Zhang, Linyan Bai, Ruren Li, Jianzhong Feng, Penglong Wang, Chao Chen

“…In this study, based on existing denoising algorithms, the OTSU threshold method is combined with a convolution window to identify noisy pixels. …”
Get full text

Atrial fibrillation and chronic kidney disease: main clinical characteristics of patients in selected subjects of the Russian Federation by M. A. Druzhilov, T. Yu. Kuznetsova, O. Yu. Druzhilova, U. D. Arustamova, D. V. Gavrilov, A. V. Gusev

“…The information was taken from the Webiomed predictive analytics platform, including 80775 patients with AF (men, 42,5%, mean age, 70,0±14,3 years) who underwent outpatient and/or inpatient treatment in medical organizations in 6 Russian subjects in 2016-2019 with data on blood creatinine levels. …”
Get full text

ANALISIS OF THE INFLUENCE OF THE MAIN PARAMETERS AND CONDITION OF WORK OF AIRCRAFT CESN ON THE EFFICENCY OF THEIR USE METHODS OF MATHEMATICAL MODELING by V. I. Troitsky

“…The aim of the numerical experiments was the analysis of the influence of the main parameters (characteristics of the radiometer and antenna, a means of reviewing the space, parameters of the current image and the reference image, methods for image processing (algorithms for image correlation), conditions of the equipment operation (the speed and altitude of aircraft, the evolution of media) on the efficiency of CESN. …”
Get full text

Using a game engine to visualize the Main Building of the Warsaw University of Technology in a mobile application by Marciniak Jacek Bernard, Janicki Hubert

“…The aim of the study presented in this article is to identify and analyse the problems which arise when creating a 3D model based on two-dimensional data and its import into a game engine and then developing algorithms to automate this process. The authors decided that they would use the Unity game engine to create an application presenting the results of modelling the interior of the Main Building of the Warsaw University of Technology. …”
Get full text

Fatigue Damage Prognosis Method for Main Girders of Cable-Stayed Bridges Based on Wavelet Neural Network by Shan Huang, Rui Chen, Jun Ling, Nan Jin

“…At present, the research on bridge structure health monitoring mainly focuses on discovering existing structural damage and less on predicting when the damage will occur in the future. …”
Get full text

Positive Anchor Area Merge Algorithm: A Knowledge Distillation Algorithm for Fruit Detection Tasks Based on Yolov8 by Xiangqun Shi, Xian Zhang, Yifan Su, Xun Zhang

Get full text

MODELING OF MECHANISM OF STRENGTHENING LAYER FORMING IN THE PROCESSES OF HARDENING AND RECOVERY OF STEEL ARTICLES BY MEANS OF FROSTING by A. V. Alifanov, G. F. Betenja, V. M. Golub

“…The mathematical model of the process of diffusion silvering of reinforcing layer on steel articles, reflecting interference of main technological parameters of the process is developed. …”
Get full text

Increasing the efficiency of teaching the topic "Burns, frostbites, electric traumas" by means of modern educational technology by Nor N.N.

“…The main objective of the work is to test and implement modern interactive methods in the field of medical education, namely the method of cooperative groups into the educational process of the Department of General Surgery of SI "DMA MH" and to determine its efficacy by the example of class on the topic "Burns, frostbites, electrical trauma. …”
Get full text

Vibe++ background segmentation method combining MeanShift clustering analysis and convolutional neural network by Zihao LIU, Xiaojun JIA, Sulan ZHANG, Zhiling XU, Jun ZHANG

“…To solve problems of noise points and high segmentation error for image shadow brought by traditional Vibe+ algorithm, a novel background segmentation method (Vibe++) based on the improved Vibe+ was proposed.Firstly, binarization image was acquired by using traditional Vibe+ algorithm from surveillance video.The connected regions were marked based on the region-growing domain marker method.The area threshold was obtained with difference characteristics of boundary area, the connected regions below threshold were treated as disturbing points.Secondly, five different kernel functions were introduced to improve the traditional MeanShift clustering algorithm.After improving, this algorithm was fused effectively with partitioned convolutional neural network.Finally, program of classification of trailing area, non-trailing area and trailing edge area in the resulting image was performed.Position coordinates of the trailing area were calculated and confirmed, and the trailing area was quickly deleted to obtain the final segmentation result.This segmentation accuracy was greatly improved by using the proposed method.The experimental results show that the proposed algorithm can achieve segmentation accuracy of more than 98% and has good application effect and high practical value.…”
Get full text