Kalman filter (KF) is a widely used navigation algorithm, especially for precise positioning applications. However, the exact filter parameters must be defined a priori to use standard Kalman filters for coping with low error values. But for the ...

Ground reaction forces (GRFs) and center of pressure trajectories (CoPs) are required for a comprehensive biomechanical analysis. They are also important outcome measures in sports sciences or clinical areas. GRFs and CoPs are usually measured by ...

The aim of this paper is the analysis of the property of the relaxed structurally boundedness of the unobservable subnet of the Petri net which brings a condition guaranteeing the finitude of all possible sequence lengths in the context of an on-...

This paper focuses on the performance analysis of cyber–physical systems under the stealthy deception attack. Two types of attack models, strictly stealthy attack and ϵ-stealthy attack, are considered. The strictly stealthy deception attack model ...

Let X be a set of items of size n that contains some defective items, denoted by I, where $I\subseteq X$. In group testing, a test refers to a subset of items $Q\subset X$. The outcome of a test is 1 if Q contains at least one defective item, i.e., $Q\cap I\ne \mathrm{\varnothing }$, and 0 ...

Image processing is an important area to bring out the best in an image for human interpretation. This process has been widely used in various fields such as machine vision, remote sensing image analysis, medical diagnosis, image restoration, ...

This paper proposes a networked control architecture that provides robustness not only to parametric uncertainties in the model but also to packet dropouts and time-varying network-induced delays. Contrary to the common approach of nonlinear ...

In this paper, we propose a method called grey wolf optimized particle filter (GWO-PF) to estimate the state of charge (SOC) of the power battery in hybrid electric vehicles (HEVs). The GWO-PF method combines the particle distribution mechanism ...

The estimation of agricultural output is an important issue in the digital development of modern agriculture. Using embedded technology, this paper designs a multimedia platform for digital estimation of agricultural output. The terminal design of ...

Navigation/positioning systems have become critical to many applications, such as autonomous driving, Internet of Things (IoT), Unmanned Aerial Vehicle (UAV), and smart cities. However, it is difficult to provide a robust, accurate, and seamless ...

• Classifying integrated navigation systems with sources, algorithms, and scenarios.
• Classifying multi-sensor fusion based on absolute and relative positioning sources.
• Analytics-based and learning-based algorithms are discussed and ...

Autocovariance least-squares (ALS) is a correlation-based noise covariance estimation method that has received much attention recently. However, most existing works focus on the situation without knowledge of the process and measurement noise ...

In this paper, a data-driven method is proposed to estimate lower bounds of the gain and phase margins without the mathematical model of a plant. To estimate the stability margins, which are defined in the frequency domain, using input/output ...

Modern industrial computer systems should be reliable, noise-immune, high-speed, and error-free which is difficult due to noise and industrial interferences. In the case of single additive errors, bit insertion/dropping can occur in ...

Python is a popular programming language for web development. However, optimizing the performance of Python web applications is a challenging task for developers. This paper presents a new approach to measuring the potential performance gains of upgraded ...

In this short note, we derive a new bias adjusted maximum likelihood estimate for the shape parameter of the Weibull distribution with complete data and type I censored data. The proposed estimate of the shape parameter is significantly less ...

In order to understand the behavior of disease transmission and develop better policies to overcome the problem, time series modeling and forecasting of infectious diseases are crucial. Therefore, a flexible INAR(1) time series model ...

Wireless Inertial Measurement Units provide motion capture data with a low hardware cost while offering a lot of mobility for the user. The current solutions rely on Wi-Fi or custom radio protocols, which are usually access point-...

The multimedia big data has tendency of fast growth over time span due to basic characteristics like volume, variety and velocity. Sample based estimates are used to compute the unknown population parameter. The multimedia big data is ...

Tire normal forces play a crucial role in vehicle dynamic control systems (VDCs), and an accurate estimation of them could substantially improve vehicle handling and safety. Total normal forces on tires are the combination of the ...

• Development of a new estimation algorithm in two parts considering all different target controllers.

Deforestation is depletion of the forest cover and degradation in forest quality mainly through repeated fires, over-exploitation, and diseases. In a forest ecosystem, occurrence of wildfires is a natural phenomena. The curse of global warming ...