The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
The presented work studies an application of a technique known as a semismooth Newton (SSN) method to accelerate the convergence of distributed quadratic programming LASSO (DQP-LASSO) - a consensus-based distributed sparse linear regression algorithm. The DQP-LASSO algorithm exploits an alternating directions method of multipliers (ADMM) algorithm to reduce a global LASSO problem to a series of local...
It is very important to carry out a fast estimation method for long data chain due to the online purpose or the requirement of low compute cost. This paper combines the motion characteristics with the Kalman estimate algorithm to achieve this goal. Measurements are determined according the accelerations of the moving objects so that fulfil the estimation by an irregularly sampling concept. Thus the...
The rigorous development in the field of highly manoeuvrable threats gives a huge platform to find the efficient integrated estimation and guidance algorithms. In the present day technology, various kinds of threats are getting advanced day by day. For example ballistic missiles with time varying parameters or low flying cruise missile. Successful intercepting these kinds of highly manoeuvrable targets...
For low altitude unmanned aerial vehicle (UAV) applications, because of the strong atmosphere turbulence, the flight track and velocity may seriously deviate from the predetermination. This may cause severe degradation for achieving the expected performance of the UAV system. In this paper, we mainly focus on UAV-Radar applications, and a novel approach for estimating the drone�s forward velocity...
This paper aims at developing a proper acceleration estimate of a train using a low-cost MEMS IMU (Inertial Measurement Unit) equipped with a 3-axis accelerometer and a 3-axis gyrometer. In particular, the impact of adding a velocity observation on the convergence of the method is studied. Compared to conventional methods that use the most often velocity sensors such as GPS or tachymeter, the proposed...
We propose a new fusing method to estimate the vertical velocity and the height of barometer-IMU systems. The method removed initialization processes of the system by calibrating accelerometer errors on-line. An EKF tracks the bias and scale error of each accelerometer, while estimating vertical velocity and height simultaneously. The method is tested on simulation and on an actual low-cost barometer-IMU...
The work presented in this paper includes the design and implementation of an ARM based embedded system for PDR with MARG measurement units such as three axes ac-celerometer, gyroscope and magnetometer. PDR system is based on 32-bit ARM Cortex-M3 low power processor and including 9-axes MEMS sensor unit, GNSS module with BLE and two concurrent ISM band transceivers is designed as a portable development...
Car race drivers are always in dangerous and harsh environments. In order to reduce risks due to mental stress, it is important to evaluate stress during a car race in real-time. The present study measured three physiological indices, heart rate variability, sweat rate, and electromyogram of massester from a professional racer during a car race. However, the relation between these indices, and the...
Kinesthetic illusion (KI) is a phenomenon that is caused by providing some vibration to a tendon through the skin to make a person perceive a joint moving without actual movement. Because we want to achieve a simple, inexpensive, and small rehabilitation system using KI, we investigate various factors caused KI such as the relationship between quantity of KI and sinusoidal vibrostimulation conditions,...
More than half of the population in Western Europe and North America own a smartphone, providing a large market for both indoor and outdoor location-based services. In order to gain a ubiquitous solution for a smartphone-based indoor positioning, motion recognition may be utilized. Motion recognition can be used to adapt relative positioning solutions as well as the position filtering process. The...
Pedestrian navigation systems based on smartphone are experiencing fast progress in indoor environment. Pedestrian dead reckoning approaches combined with improved inertial sensors' quality and the exploitation of magnetic field are used to mitigate the sensor drifts. The last remaining issue is related to the hand dynamic. It consists in estimating the angular misalignment between the smartphone...
We introduce the first ever ordered subset expectation maximization (OSEM) method for joint estimation of emission activity distribution and photon attenuation map from positron emission tomography (PET) emission data alone. It differs from standard OSEM in the use of distinct-, as opposed to identical subsets for emission activity distribution- and photon attenuation map update. The method accelerates...
In our past works, a standard three-layer feed forward neural network based human activity estimation method has been proposed. The proposed method aims to record the subject activity automatically. The recorded data by MEMS based monitoring devices include raw accelerometer data of his/her activity. From these data, we need to determine what the subject person was doing. In our conventional methods,...
Measuring the shear deformation of a finger pad during active hap tic exploration of materials is important for analysis of textural sensations and development of tactile texture displays. Thus far, there has been no general methods to measure such deformations for active touch. To create a sensor system, we have been developing a new method for estimating the deformation of a finger pad based on...
A longitudinal velocity estimation scheme is analyzed in this paper. Besides, its adaptation for being used in a rear-wheel drive (2WD) Electric Vehicle (EV) is evaluated. The velocity estimation is based on the fusion of the available measurements, which are the vehicle longitudinal acceleration and angular velocities on each wheel. The aim of this analysis is to obtain an accurate longitudinal-velocity...
Robot interaction with the environment is normally described as a mass-spring-damping impedance model and the estimation of such interaction impedance parameters requires the computation of the joint (or task) space velocity and acceleration. In many cases, the velocity and acceleration are computed by numerically computing the first and second derivatives of the sensed position signal. The numerical...
A novel multi-targets ISAR imaging method based on particle swarm optimization (PSO) and modified CLEAN technique is proposed in this paper. First, multi-targets are modeled as several separated group-targets in which translational motion of each target is analogous. And then, translational motion of each group-target is modeled as a polynomial, and the polynomial coefficient is estimated via PSO...
The aim of this article is to present a novel quaternion based control scheme for the attitude control problem of a quadrotor and experimentally evaluate its performance. A quaternion is a hyper complex number of rank 4 that can be utilized to avoid the inherent geometrical singularity when representing rigid body dynamics with Euler angles or the complexity of having coupled differential equations...
Sparse vector reconstruction requires a long computation time, because it is based on some iterative computation algorithms, in which an initial dense vector is gradually modified to a sparse vector. To overcome this problem, we proposed a fast implementation technique that is based on the reordering/reuse of results calculated from the zero-elements at each iteration. In addition, we adapted our...
Autofocusing is one of the key steps in the high-resolution SAR imaging. In the paper several important improvements to the recently developed local-quadratic map-drift autofocus are proposed. Important SAR image preprocessing steps applied before the local Doppler rate errors estimation are described. The weighting scheme for the evaluation of residual cross-track acceleration components is developed...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.