scholarly journals Ultrasonic rangefinder with resolution in hundredths of the probing signal's wavelength for the mobile rescue robot

ACTA IMEKO ◽  
2019 ◽  
Vol 8 (4) ◽  
pp. 41
Author(s):  
Stanislaw Goll ◽  
Julia Maximova
Keyword(s):  
Vital Signs ◽  
Phase Spectrum ◽  
Phase Method ◽  
Second Phase ◽  
Phase Ambiguity ◽  
Output Data ◽  
Two Phase ◽  
Pulse Trains ◽  
Measurement Resolution ◽  
Final Estimate

The main goal of this research is to increase the measurement resolution of ultrasonic rangefinders to meet the needs of vital signs noncontact registration based on chest movements. The two-phase method is proposed to make distance estimates by sending probe pulse trains, calculating the phase spectrum of the echo signal’s envelope, and tracking its relevant components. During the first phase, rough Time-of-Flight (ToF)-based estimates are made. During the second phase, this estimate is corrected based on the phase spectrum of the echo signal’s envelope, the phase ambiguity is removed, and the relevant components are determined. The final estimate of the human chest displacement is calculated based on these relevant components. The output data rate is the same as for the ToF-based measurements, but the measurement resolution is increased to one hundredth of the ultrasonic wavelength. The experiment results are provided for the both model and the real human chest displacements caused by the respiration and heartbeat processes.

scholarly journals Virtual interpolation of discrete multi-objective programming solutions with probabilistic operation

2011 ◽  
Vol 22 (4) ◽  
pp. 379-389
Author(s):  
Ricardo C. Silva ◽  
Edilson F. Arruda ◽  
Fabrício O. Ourique
Keyword(s):  
Probability Distributions ◽  
Phase Method ◽  
Second Phase ◽  
Pareto Optimal ◽  
Two Phase ◽  
Term Operation ◽  
Multi Objective ◽  
Multi Objective Programming ◽  
Objective Programming

This work presents a novel framework to address the long term operation of a class of multi-objective programming problems. The proposed approach considers a stochastic operation and evaluates the long term average operating costs/profits. To illustrate the approach, a two-phase method is proposed which solves a prescribed number of K mono-objective problems to identify a set of K points in the Pareto-optimal region. In the second phase, one searches for a set of non-dominated probability distributions that define the probability that the system operates at each point selected in the first phase, at any given operation period. Each probability distribution generates a vector of average long-term objectives and one solves for the Pareto-optimal set with respect to the average objectives. The proposed approach can generate virtual operating points with average objectives that need not have a feasible solution with an equal vector of objectives. A few numerical examples are presented to illustrate the proposed method.

scholarly journals Crosscorrelation and DOA Estimation for L-Shaped Array via Decoupled Atomic Norm Minimization

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Yu Zhang ◽  
Yinan Sun ◽  
Gong Zhang ◽  
Xinhai Wang ◽  
Yu Tao
Keyword(s):  
Prior Information ◽  
Doa Estimation ◽  
Phase Method ◽  
Second Phase ◽  
Two Dimensional ◽  
Two Phase ◽  
Norm Minimization ◽  
Atomic Norm ◽  
Matrix Reconstruction ◽  
Source Number

A novel two-phase method for two-dimensional (2D) direction-of-arrival (DOA) estimation with L-shaped array based on decoupled atomic norm minimization (DANM) is proposed in this paper. In the first phase, given the sample crosscorrelation matrix, the gridless DANM technique considering the noise and finite snapshots effects is employed to exploit the structure and sparse properties of the crosscorrelation matrix. The resulting DANM-based algorithm not only enables the crosscorrelation matrix reconstruction (CCMR) but also reconstructs the covariance matrix of the L-shaped array. Hence, sequentially, in the second phase, the conventional 2D DOA estimators for the L-shaped array can be adopted for the angle estimation. With appropriate 2D DOA estimators, the resulting proposed algorithms can not only achieve better performance but also detect more source number, compared with conventional crosscorrelation-based DOA estimators. Moreover, the proposed method, termed CCMR-DANM, not only has blind characteristic that it does not require the prior information of source numbers but also is more efficient than the existing CCMR-based counterparts. Numerical simulations demonstrate the effectiveness and outperformance of the proposed method.

scholarly journals Putting Encyclopaedia Knowledge into Structural Form: Finite State Transducers Approach

2011 ◽  
Vol 8 (2) ◽  
pp. 115-129 ◽  
Author(s):  
Vesna Pajić
Keyword(s):  
Phase Method ◽  
Second Phase ◽  
Challenging Problem ◽  
Structural Form ◽  
Two Phase ◽  
Document Structure ◽  
Systematic Bacteriology ◽  
Finite State Transducers ◽  
Finite State ◽  
Structured Documents

Summary In biology and functional genomics in particular, understanding the dependence and interplay between different genome and ecological characteristics of organisms is a very challenging problem. There are some public databases which combine this kind of information, but there is still much more information about microbes and other organisms that reside in unstructured and semi-structured documents, such as encyclopaedias. In this paper we present a method for extracting information from semi-structured resources, such as encyclopaedias, based on finite state transducers, consisting of two clearly distinguished phases. The first phase strongly relies on the analysis of the document structure and it is used for locating records of data in the text. The second phase is based on the finite state transducers created for extracting the data, which can be modified so as to achieve the preferred efficiency and it is used for extracting the particular characteristic from the text. We show how the two phase method is applied to the text of the encyclopaedia “Systematic Bacteriology”. A fully structured database with genotype and phenotype characteristics of organisms has been created from the encyclopaedia unstructured descriptions.

scholarly journals An algorithm for solving the bi-objective median path-shaped facility on a tree network

2020 ◽  
Vol 28 (1) ◽  
Author(s):  
Abdallah Aboutahoun ◽  
Fatma El-Safty
Keyword(s):  
Phase Method ◽  
Second Phase ◽  
Pareto Solutions ◽  
Two Phase ◽  
Tree Network

AbstractIn this paper, an algorithm for the bi-objective median path (BMP) problem on a tree network is considered. The algorithm is based on the two-phase method which can compute all Pareto solutions for the BMP problem. The first phase is applied to find supported Pareto solutions by solving the uni-objective problem D(P,λ). The second phase is used to compute the unsupported Pareto solutions by applying a k-best algorithm which computes the k-best Pareto solutions in order of their objective values.

scholarly journals PICKUP AND DELIVERY WITH TIME WINDOWS: ALGORITHMS AND TEST CASE GENERATION

2002 ◽  
Vol 11 (03) ◽  
pp. 455-472 ◽  
Author(s):  
HOONG CHUIN LAU ◽  
ZHE LIANG
Keyword(s):  
Time Windows ◽  
Phase Method ◽  
Test Case ◽  
Second Phase ◽  
Pickup And Delivery ◽  
Two Phase ◽  
Delivery Problem ◽  
Pickup And Delivery Problem ◽  
Tabu Search Method ◽  
Problem Instances

In the pickup and delivery problem with time windows (PDPTW), vehicles have to transport loads from origins to destinations respecting capacity and time constraints. In this paper, we present a two-phase method to solve the PDPTW. In the first phase, we apply a novel construction heuristics to generate an initial solution. In the second phase, a tabu search method is proposed to improve the solution. Another contribution of this paper is a strategy to generate good problem instances and benchmarking solutions for PDPTW, based on Solomon's benchmark test cases for VRPTW. Experimental results show that our approach yields very good solutions when compared with the benchmarking solutions.

scholarly journals A Two Phase Method for Solving the Distribution Problem in a Fuzzy Setting

Entropy ◽  
2019 ◽  
Vol 21 (12) ◽  
pp. 1214
Author(s):  
Krzysztof Kaczmarek ◽  
Ludmila Dymova ◽  
Pavel Sevastjanov
Keyword(s):  
Phase Method ◽  
Second Phase ◽  
General Criterion ◽  
Distribution Problem ◽  
Two Phase ◽  
The Monte Carlo Method ◽  
Two Phases ◽  
Comparison Of The Results ◽  
Level 2 ◽  
Fuzzy Setting

In this paper, a new method for the solution of distribution problem in a fuzzy setting is presented. It consists of two phases. In the first of them, the problem is formulated as the classical, fully fuzzy transportation problem. A new, straightforward numerical method for solving this problem is proposed. This method is implemented using the α -cut approximation of fuzzy values and the probability approach to interval comparison. The method allows us to provide the straightforward fuzzy extension of a simplex method. It is important that the results are fuzzy values. To validate our approach, these results were compared with those obtained using the competing method and those we got using the Monte–Carlo method. In the second phase, the results obtained in the first one (the fuzzy profit) are used as the natural constraints on the parameters of multiobjective task. In our approach to the solution of distribution problem, the fuzzy local criteria based on the overall profit and contracts breaching risks are used. The particular local criteria are aggregated with the use of most popular aggregation modes. To obtain a compromise solution, the compromise general criterion is introduced, which is the aggregation of aggregating modes with the use of level-2 fuzzy sets. As the result, a new two phase method for solving the fuzzy, nonlinear, multiobjective distribution problem aggregating the fuzzy local criteria based on the overall profit and contracts breaching risks has been developed. Based on the comparison of the results obtained using our method with those obtained by competing one, and on the results of the sensitivity analysis, we can conclude that the method may be successfully used in applications. Numerical examples illustrate the proposed method.

Total Variation Based Parameter-Free Model for Impulse Noise Removal

2017 ◽  
Vol 10 (1) ◽  
pp. 186-204 ◽  
Author(s):  
Federica Sciacchitano ◽  
Yiqiu Dong ◽  
Martin S. Andersen
Keyword(s):  
Total Variation ◽  
Impulse Noise ◽  
Regularization Parameter ◽  
Noise Removal ◽  
Phase Method ◽  
Second Phase ◽  
Dual Algorithm ◽  
Two Phase ◽  
Total Variation Minimization ◽  
Primal Dual

AbstractWe propose a new two-phase method for reconstruction of blurred images corrupted by impulse noise. In the first phase, we use a noise detector to identify the pixels that are contaminated by noise, and then, in the second phase, we reconstruct the noisy pixels by solving an equality constrained total variation minimization problem that preserves the exact values of the noise-free pixels. For images that are only corrupted by impulse noise (i.e., not blurred) we apply the semismooth Newton's method to a reduced problem, and if the images are also blurred, we solve the equality constrained reconstruction problem using a first-order primal-dual algorithm. The proposed model improves the computational efficiency (in the denoising case) and has the advantage of being regularization parameter-free. Our numerical results suggest that the method is competitive in terms of its restoration capabilities with respect to the other two-phase methods.

A Comparison of Tem and Apfim to the Interpretation of Modulated Microstructures

1985 ◽  
Vol 43 ◽  
pp. 70-71
Author(s):  
M.G. Burke ◽  
M.K. Miller
Keyword(s):  
Low Temperature ◽  
Microstructural Characterization ◽  
Superlattice Reflection ◽  
High Volume ◽  
Atom Probe ◽  
Dark Field ◽  
Miscibility Gap ◽  
Second Phase ◽  
Two Phase ◽  
Probe Field

Interpretation of fine-scale microstructures containing high volume fractions of second phase is complex. In particular, microstructures developed through decomposition within low temperature miscibility gaps may be extremely fine. This paper compares the morphological interpretations of such complex microstructures by the high-resolution techniques of TEM and atom probe field-ion microscopy (APFIM).The Fe-25 at% Be alloy selected for this study was aged within the low temperature miscibility gap to form a <100> aligned two-phase microstructure. This triaxially modulated microstructure is composed of an Fe-rich ferrite phase and a B2-ordered Be-enriched phase. The microstructural characterization through conventional bright-field TEM is inadequate because of the many contributions to image contrast. The ordering reaction which accompanies spinodal decomposition in this alloy permits simplification of the image by the use of the centered dark field technique to image just one phase. A CDF image formed with a B2 superlattice reflection is shown in fig. 1. In this CDF micrograph, the the B2-ordered Be-enriched phase appears as bright regions in the darkly-imaging ferrite. By examining the specimen in a [001] orientation, the <100> nature of the modulations is evident.

THE DYNAMIC FRACTURE OF TWO PHASE ALLOYS WITH SECOND PHASE INCLUSIONS

1985 ◽  
Vol 46 (C5) ◽  
pp. C5-251-C5-255
Author(s):  
S. Pytel ◽  
L. Wojnar
Keyword(s):  
Dynamic Fracture ◽  
Second Phase ◽  
Two Phase

Peristaltic Carreau-Yasuda nanofluid flow and mixed heat transfer analysis in an asymmetric vertical and tapered wavy wall channel

2020 ◽  
Vol 1 (1) ◽  
pp. 128-140 ◽  
Author(s):  
Mohammad Hatami ◽  
◽  
D Jing ◽  
Keyword(s):  
Heat Transfer ◽  
Least Square Method ◽  
Weissenberg Number ◽  
Least Square ◽  
Heat Transfer Analysis ◽  
Phase Method ◽  
Nanofluid Flow ◽  
Two Phase ◽  
Nanoparticles Concentration ◽  
The Right

In this study, two-phase asymmetric peristaltic Carreau-Yasuda nanofluid flow in a vertical and tapered wavy channel is demonstrated and the mixed heat transfer analysis is considered for it. For the modeling, two-phase method is considered to be able to study the nanoparticles concentration as a separate phase. Also it is assumed that peristaltic waves travel along X-axis at a constant speed, c. Furthermore, constant temperatures and constant nanoparticle concentrations are considered for both, left and right walls. This study aims at an analytical solution of the problem by means of least square method (LSM) using the Maple 15.0 mathematical software. Numerical outcomes will be compared. Finally, the effects of most important parameters (Weissenberg number, Prandtl number, Brownian motion parameter, thermophoresis parameter, local temperature and nanoparticle Grashof numbers) on the velocities, temperature and nanoparticles concentration functions are presented. As an important outcome, on the left side of the channel, increasing the Grashof numbers leads to a reduction in velocity profiles, while on the right side, it is the other way around.

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