scholarly journals New approach to isometric transformations in oblique local coordinate systems of reference

2017 ◽  
Vol 66 (2) ◽  
pp. 291-304 ◽  
Author(s):  
Grzegorz Stępień ◽  
Ewa Zalas ◽  
Tomasz Ziębka
Keyword(s):  
Simulated Data ◽  
Measurement Instrument ◽  
Initial Position ◽  
New Approach ◽  
Research Article ◽  
Isometric Transformation ◽  
Orthogonal Systems ◽  
Unknown Point ◽  
Angle Orientation ◽  
Mutual Rotation

AbstractThe research article describes a method of isometric transformation and determining an exterior orientation of a measurement instrument. The method is based on a designation of a “virtual” translation of two relative oblique orthogonal systems to a common, known in the both systems, point. The relative angle orientation of the systems does not change as each of the systems is moved along its axis. The next step is the designation of the three rotation angles (e.g. Tait-Bryan or Euler angles), transformation of the system convoluted at the calculated angles and moving the system to the initial position where the primary coordinate system was. This way eliminates movements of the systems from the calculations and makes it possible to calculate angles of mutual rotation angles of two orthogonal systems primarily involved in the movement. The research article covers laboratory calculations for simulated data. The accuracy of the results is 10-6 m (10-3 regarding the accuracy of the input data). This confi rmed the correctness of the assumed calculation method. In the following step the method was verifi ed under fi eld conditions, where the accuracy of the method raised to 0.003 m. The proposed method enabled to make the measurements with the oblique and uncentered instrument, e.g. total station instrument set over an unknown point. This is the reason why the method was named by the authors as Total Free Station - TFS. The method may be also used for isometric transformations for photogrammetric purposes.

scholarly journals A New Approach to the Quality Control of Slope and Aspect Classes Derived from Digital Elevation Models

2021 ◽  
Vol 13 (11) ◽  
pp. 2069
Author(s):  
M. V. Alba-Fernández ◽  
F. J. Ariza-López ◽  
M. D. Jiménez-Gamero
Keyword(s):  
Quality Control ◽  
Hypothesis Test ◽  
Simulated Data ◽  
Slope Aspect ◽  
New Approach ◽  
Reference Set ◽  
Digital Elevation ◽  
Using Data ◽  
Elevation Model ◽  
Degree Of Similarity

The usefulness of the parameters (e.g., slope, aspect) derived from a Digital Elevation Model (DEM) is limited by its accuracy. In this paper, a thematic-like quality control (class-based) of aspect and slope classes is proposed. A product can be compared against a reference dataset, which provides the quality requirements to be achieved, by comparing the product proportions of each class with those of the reference set. If a distance between the product proportions and the reference proportions is smaller than a small enough positive tolerance, which is fixed by the user, it will be considered that the degree of similarity between the product and the reference set is acceptable, and hence that its quality meets the requirements. A formal statistical procedure, based on a hypothesis test, is developed and its performance is analyzed using simulated data. It uses the Hellinger distance between the proportions. The application to the slope and aspect is illustrated using data derived from a 2×2 m DEM (reference) and 5×5 m DEM in Allo (province of Navarra, Spain).

A New Approach to Image Reconstruction in Positron Emission Tomography Using Artificial Neural Networks

1998 ◽  
Vol 09 (01) ◽  
pp. 71-85 ◽  
Author(s):  
A. Bevilacqua ◽  
D. Bollini ◽  
R. Campanini ◽  
N. Lanconelli ◽  
M. Galli
Keyword(s):  
Positron Emission Tomography ◽  
Simulated Data ◽  
Emission Tomography ◽  
Source Distribution ◽  
New Approach ◽  
High Data ◽  
Positron Emission ◽  
Physical Effects ◽  
Artificial Neural ◽  
Artificial Neural Network Ann

This study investigates the possibility of using an Artificial Neural Network (ANN) for reconstructing Positron Emission Tomography (PET) images. The network is trained with simulated data which include physical effects such as attenuation and scattering. Once the training ends, the weights of the network are held constant. The network is able to reconstruct every type of source distribution contained inside the area mapped during the learning. The reconstruction of a simulated brain phantom in a noiseless case shows an improvement if compared with Filtered Back-Projection reconstruction (FBP). In noisy cases there is still an improvement, even if we do not compensate for noise fluctuations. These results show that it is possible to reconstruct PET images using ANNs. Initially we used a Dec Alpha; then, due to the high data parallelism of this reconstruction problem, we ported the learning on a Quadrics (SIMD) machine, suited for the realization of a small medical dedicated system. These results encourage us to continue in further studies that will make possible reconstruction of images of bigger dimension than those used in the present work (32 × 32 pixels).

scholarly journals Overlap graph-based generation of haplotigs for diploids and polyploids

2018 ◽  
Author(s):  
Jasmijn A. Baaijens ◽  
Alexander Schönhuth
Keyword(s):  
Recent Work ◽  
Genome Assembly ◽  
De Novo ◽  
Iterative Scheme ◽  
State Of The Art ◽  
Simulated Data ◽  
Specific Sequence ◽  
New Approach ◽  
Link Type ◽  
Polyploid Genome

AbstractHaplotype aware genome assembly plays an important role in genetics, medicine, and various other disciplines, yet generation of haplotype-resolved de novo assemblies remains a major challenge. Beyond distinguishing between errors and true sequential variants, one needs to assign the true variants to the different genome copies. Recent work has pointed out that the enormous quantities of traditional NGS read data have been greatly underexploited in terms of haplotig computation so far, which reflects that methodology for reference independent haplotig computation has not yet reached maturity. We present POLYTE (POLYploid genome fitTEr) as a new approach to de novo generation of haplotigs for diploid and polyploid genomes. Our method follows an iterative scheme where in each iteration reads or contigs are joined, based on their interplay in terms of an underlying haplotype-aware overlap graph. Along the iterations, contigs grow while preserving their haplotype identity. Benchmarking experiments on both real and simulated data demonstrate that POLYTE establishes new standards in terms of error-free reconstruction of haplotype-specific sequence. As a consequence, POLYTE outperforms state-of-the-art approaches in various relevant aspects, where advantages become particularly distinct in polyploid settings. POLYTE is freely available as part of the HaploConduct package at https://github.com/HaploConduct/HaploConduct, implemented in Python and C++.

scholarly journals Fair and Square Redistricting

2021 ◽  
Author(s):  
James Fox
Keyword(s):  
Representative Democracy ◽  
New Approach ◽  
Research Article ◽  
State Constitution

Fair maps are the foundation of a representative democracy. Gerrymanderers wish to create an unrepresentative legislature. The counter to gerrymandering is a fair map where the party sharre of districts matches the party share of the statewide votes. This redistricting criterion was recently codified in the Ohio State Constitution. https://www.legislature.ohio.gov/laws/ohio-constitution/section?const=11.06 A Guide to a new approach for drawing fair maps has been written for citizens, advocates and members of redistricting commissions, as well as legislators and judges. This Guide includes a test for gerrymandering. A research article details, justifies and applies the approach. As more people become aware of approaches such as this, more are likely to ask, “Why aren’t we using procedures like this to build maps where the districts are compact and the maps are fair?”

scholarly journals Evaluation on NTM based Predictive Analytics on Rainfall and Flood Disaster Management

2020 ◽  
Vol 6 (10) ◽  
pp. 89-95
Author(s):  
Satwik P M and Dr. Meenatchi Sundram
Keyword(s):  
Machine Learning ◽  
Predictive Analytics ◽  
Learning Algorithm ◽  
Research Work ◽  
Evaluation Process ◽  
Machine Learning Algorithms ◽  
New Approach ◽  
Research Article ◽  
The Neural Networks ◽  
Evaluation Parameters

In this Research article, we presented a new approach for predicting the flood through the advanced Machine learning Algorithm which is one among the Neural networks class that outperforms itself in best data operations and predictive analytics. This Research article discusses in detail about the prediction of flood occurrences evaluation process. We interpreted the Research with many algorithms that is existing, and the Research work have been dealing with different research works inculcated and compared with different Research approaches. On Comparing to the Previous Researches its observed that the Neural Turing networks have been performing the prediction of the rainfall and flood-based disasters for the consecutive year counts of 10,15 and 20 with 93.8% accuracy. Here the Research is analyzed with various parameters and Comparing it with the other researches which is implemented with other machine learning algorithms. Comparing with the previous researches the Idea of the research have been described and evaluated with the different evaluation parameters including the number of iterations or Epochs.

scholarly journals Reflections on Teaching Qualitative Methods Using Team-Based Learning: An Exemplification by Photovoice

2017 ◽  
Author(s):  
Nadia Rania ◽  
Laura Migliorini ◽  
Stefania Rebora
Keyword(s):  
Qualitative Methods ◽  
Small Groups ◽  
Psychology Students ◽  
Methods Course ◽  
New Approach ◽  
Research Article ◽  
The Social ◽  
Team Based Learning ◽  
The University

This research article as a part of larger study intends to explore the role of teaching qualitative methods is not easy and often represents a great challenge. In this work, we describe our experience of teaching a qualitative methods course for undergraduate psychology students. In this course, we used a Team-Based Learning (TBL) approach in which we had students cluster into small groups to enhance their education by having them become more active in their learning. To teach qualitative methods, we used TBL and in this paper, we present the exemplification of this method by choosing Photovoice. The Team-Based methods may be thought of as a new approach for teaching qualitative methods at the university because it allows the students to reach relevant life skills, like reflexivity, sensitivity, and critical thinking that are relevant not only for qualitative researchers but also for the psychologists and the social service professionals.

scholarly journals A New Approach to Fuzzy Differential Equations Using Weakly-Compatible Self-Mappings in Fuzzy Metric Spaces

2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Iqra Shamas ◽  
Saif Ur Rehman ◽  
Naeem Jan ◽  
Abdu Gumaei ◽  
Mabrook Al-Rakhami
Keyword(s):  
Differential Equations ◽  
Metric Spaces ◽  
Vital Role ◽  
Coincidence Points ◽  
New Approach ◽  
Fuzzy Metric ◽  
Weakly Compatible ◽  
Research Article ◽  
Different Types ◽  
Rational Type

The key objective of this research article includes the study of some rational type coincidence point and deriving common fixed point (CFP) results for rational type weakly-compatible three self-mappings in fuzzy metric (FM) space. The “triangular property of FM” is used as a fundamental tool. Moreover, some unique coincidence points and CFP theorems were presented for three self-mappings in an FM space under the conditions of rational type weakly-compatible fuzzy-contraction. In addition, some suitable examples are also given. Furthermore, an application of fuzzy differential equations is provided in the aid of the proposed work. Hence, the innovative direction of rational type weakly-compatible fuzzy-contraction with the application of fuzzy differential equations in FM space will certainly play a vital role in the related fields. It has the potential to be extended in any direction with different types of weakly-compatible fuzzy-contraction conditions for self-mappings with different types of differential equations.

Using Market-Level Data to Understand Promotion Effects in a Nonlinear Model

1997 ◽  
Vol 34 (3) ◽  
pp. 322-334 ◽  
Author(s):  
Markus Christen ◽  
Sachin Gupta ◽  
John C. Porter ◽  
Richard Staelin ◽  
Dick R. Wittink
Keyword(s):  
Nonlinear Model ◽  
Simulated Data ◽  
Parameter Estimates ◽  
Econometric Modeling ◽  
Scanner Data ◽  
Aggregation Method ◽  
Marketing Manager ◽  
New Approach ◽  
Level Data

The authors show analytically, empirically, and numerically through simulation that the estimated effects from linearly aggregated market-level data differ substantially from comparable effects that are obtained from store-level data. The magnitude of this difference renders market-level data largely unsuitable for econometric modeling, unless the marketing manager compensates for the bias that results from the incompatible aggregation. The authors introduce a new approach, a relatively simple debiasing procedure derived from simulated data. They show that this debiasing approach results in substantially improved parameter estimates. They illustrate the value of the procedure by applying it to scanner data for powdered detergents and comparing the debiased parameter estimates to results obtained from store-level data and an alternative aggregation method that maintains homogeneity for selected promotional activities.

scholarly journals A new approach for ATLAS Athena job configuration

2019 ◽  
Vol 214 ◽  
pp. 05015 ◽  
Author(s):  
Walter Lampl
Keyword(s):  
Flow Simulation ◽  
Simulated Data ◽  
Work Flow ◽  
Software Framework ◽  
New Approach ◽  
Atlas Experiment ◽  
Level Trigger ◽  
Configuration System ◽  
Full Power ◽  
High Level

The offline software framework of the ATLAS experiment (Athena) consists of many small components of various types like Algorithm, Tool or Service. To assemble these components into an executable application for event processing, a dedicated configuration step is necessary. The configuration of a particular job depends on the work-flow (simulation, reconstruction, high-level trigger, overlay, calibration, analysis ...) and the input data (real or simulated data, beam-energy, ...). The configuration step is done by executing python code. The resulting config-uration depends on optionally pre-set flags as well as meta-data about the data to be processed. For the python configuration code, there is almost no structure enforced, leaving the full power of python to the user. While this approach did work, it also proved to be error prone and complicated to use. It also leads to jobs containing more components that they actually need. For LHC Run 3 a more robust system is envisioned. It is still based on python but enforces a structure and emphasis modularity. This contribution briefly reports about the configuration system used during LHC Run 1 and Run 2 and details the prototype of an improved system to be used in Run 3 and beyond.

scholarly journals Suppressing Paired Echoes Caused by Stair-Step Antenna Steering in TOPS SAR Imaging

2019 ◽  
Vol 11 (21) ◽  
pp. 2544
Author(s):  
He ◽  
Zhang ◽  
Yi ◽  
Jin ◽  
Dong
Keyword(s):  
Beam Steering ◽  
Impulse Response Function ◽  
Simulated Data ◽  
Sar Images ◽  
New Approach ◽  
Absolute Phase ◽  
Steering Law ◽  
Sar Data ◽  
Antenna Steering ◽  
Progressive Scan

The use of electronically steered antennas in the azimuth dimension typically leads to a staircase-like antenna beam steering law in the Terrain Observation by Progressive Scan (TOPS) wide-swath synthetic aperture radar (SAR) data acquisition mode, which will introduce paired echoes in the focused images. This paper proposes a new approach for removing such paired echoes from TOPS SAR images based on the generalization of the ideal optimum filtering concept, which can be implemented easily in the SAR data processing. Modeling the amplitude-modulated azimuth signal shows that the absolute phase of the introduced paired echoes cannot be determined due to the random rotation angle jump time for each target, which will prevent the precise use of optimum filtering. An extended optimum filtering approach, which is originally proposed for suppressing the azimuth ambiguities in SAR images, is reintroduced in this particular case, and a new approximated and generalized form of the deconvolving filtering in the approach is redefined to accommodate the undetermined phase for both the strongest paired distortion peaks and the other peripheral peaks in the distorted impulse response function (IRF). Simulated data from a TOPS SAR mode with staircase-like beam steering are used to verify the improvement in image quality by using the new method.

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