Results 31 to 40 of about 32,780 (121)

An Optimized Node Deployment Solution Based on a Virtual Spring Force Algorithm for Wireless Sensor Network Applications

Sensors, 2019
How to effectively deploy all wireless sensors and save a system’s energy consumption is a key issue in current wireless sensor network (WSN) applications.
Xiaohua Deng, Zhiyong Yu, Rongxin Tang, Xin Qian, Kai Yuan, Shiyun Liu   +5 more
doaj   +1 more source

A Study on Rough Ideal Statistical Convergence in Neutrosophic Normed Spaces

Axioms
In this paper, we introduce and study the concept of rough I–αβ–statistical convergence of order γ in neutrosophic normed spaces. This new mode of convergence combines the principles of rough convergence, statistical convergence with respect to an ideal,
Paul Sebastian Jenifer, Mathuraiveeran Jeyaraman, Saeid Jafari, Alexander Pigazzini   +3 more
doaj   +1 more source

Necessary and Sufficient Conditions for the Equivalence of Statistical, Ideal, and Standard Convergence in G-Metric Spaces

European Journal of Pure and Applied Mathematics
This paper investigates the conditions for equivalence between statistical convergence, ideal convergence, and standard convergence in G-metric spaces. Although the study of statistical and ideal convergence has been extensively developed in various settings, no prior research has explicitly explored the relationship between statistical convergence and
Manuharawati Manuharawati, Muhammad Jakfar, Ahmad Taufik Hamzah   +2 more
openaire   +1 more source

A Novel Method for Multilevel Color Image Segmentation Based on Dragonfly Algorithm and Differential Evolution

IEEE Access, 2019
Multilevel thresholding is a simple and powerful image segmentation method that has received widespread attention in recent years. However, the accuracy and stability of thresholding techniques are still not ideal and cannot meet the needs of engineering
Lang Xu, Heming Jia, Chunbo Lang, Xiaoxu Peng, Kangjian Sun   +4 more
doaj   +1 more source

$\mathcal{I}$-Symmetric Spaces and the π-Images of Metric Spaces

Axioms
Symmetric spaces and sn-symmetric spaces, as a generalization of metric spaces, have many important properties and have been widely discussed. We consider characterizations and mapping properties of sn-symmetric spaces under ideal convergence.
Fang Liu, Xiangeng Zhou, Li Liu, Shou Lin   +3 more
doaj   +1 more source

Improvement on the vanishing component analysis by grouping strategy

EURASIP Journal on Wireless Communications and Networking, 2018
Vanishing component analysis (VCA) method, as an important method integrating commutative algebra with machine learning, utilizes the polynomial of vanishing component to extract the features of manifold, and solves the classification problem in ideal ...
Xiaofeng Zhang
doaj   +1 more source

ACO-NM hybrid optimization calculation method for transit time of oxygen activation logging in CO2 injection profile [PDF]

Youqicang pingjia yu kaifa
CO2 injection in unconventional oil and gas reservoirs is a key technology for enhancing oil and gas recovery while enabling CO2 storage. Its application is becoming increasingly prevalent in the development of such reservoirs within the context of “dual
WANG Zhengyan, CHEN Meng, YANG Guofeng, LIU Guoquan, PEI Yang, CHEN Qiang
doaj   +1 more source

Optimizing Trade-Offs in Reliability, Security, and Freshness for Integrated Communication, Sensing, and Over-the-Air Computing

IEEE Access
This paper addresses the trade-offs and optimization problems among reliability, security, and information freshness in integrated communication, sensing, and over-the-air computation (AirComp) systems.
Tianyu Ren, Miao Zhang, Fangyu Wang, Kaiyuan Zheng   +3 more
doaj   +1 more source

Disturbance rejecting PID-FF controller design of a non-ideal buck converter using an innovative snake optimizer with pattern search algorithm

Heliyon
The optimal design of a proportional-integral-derivative controller with two cascaded first-order low-pass filters (PID-FF) for non-ideal buck converters faces significant challenges, including effective disturbance rejection, robustness to parameter ...
Cihan Ersali, Baran Hekimoglu, Musa Yilmaz, Alfredo A. Martinez-Morales, Tahir Cetin Akinci   +4 more
doaj   +1 more source

Rough statistical convergence and rough ideal convergence in random 2-normed spaces

Filomat
This study?s main goal is to define approximate statistical convergence in spaces with probabilistic norms. The idea of convergence in random 2-normed space is more generalized as a result of our demonstrations of some fundamental features and examples of convergence in linear spaces with norms.
openaire   +1 more source