scholarly journals Increased output in micro production by tolerance field widening and synchronisation

2018 ◽  
Vol 190 ◽  
pp. 15006 ◽  
Author(s):  
Ann-Kathrin Onken ◽  
Philipp Wilhelmi ◽  
Kirsten Tracht ◽  
Bernd Kuhfuss
Keyword(s):  
Simulated Data ◽  
Selective Assembly ◽  
Geometrical Characteristics ◽  
Micro Parts ◽  
Tolerance Field

The manufacturing of linked micro parts simplifies the handling and facilitates a consideration of trends due to the maintaining of the manufacturing order. These known changes of geometrical characteristics of parts are the basis for softening tolerances. The basic idea of the tolerance field widening is familiar with selective assembly. Instead of single parts, trend-based sections are used for increasing the number of assemblies under consideration of the clearance. The outcome of the assembly of the identified trend-based sections is influenced by the occurring trends and the changes of trends. Therefore, based on simulated data the effects of occurring trends are investigated. For sorting and matching the identified trend-based sections in high quantities, a case specific pre-assembly in the synchronisation point is required. Possible synchronisation scenarios as well as a synchronisation station for the synchronisation of two types of linked parts are presented. The results for the influence of trends show that the tolerance field widening increases the outcome especially for intersecting and opposing trends.

A Novel Batch Fabrication of Micro Parts Using DNA Pattern Recognition

2012 ◽  
Vol 523-524 ◽  
pp. 598-603 ◽  
Author(s):  
Masafumi Yasuda ◽  
Terutake Hayashi ◽  
Masaki Michihata ◽  
Yasuhiro Takaya
Keyword(s):  
Self Assembly ◽  
Dna Hybridization ◽  
Selective Assembly ◽  
Polystyrene Microspheres ◽  
Novel Technique ◽  
Batch Fabrication ◽  
Micro Parts ◽  
Dna Pattern ◽  
Automatic Positioning ◽  
Fundamental Experiment

We proposed a novel technique for self-assembly of micro parts by using DNA hybridization. As the demand for MEMS is growing, research on the self-assembly of micro parts is required to achieve fabrication of functional devices consisted of diverse micro parts. Our method has a unique characteristic where the selective assembly can be performed. At the targeted substrate region functionalized by single-stranded DNA, only components functionalized by the complementary one are assembled successfully. This is due to the complementary properties of DNA, which consists of four different bases (adenine (A), cytosine (C), guanine (G), and thymine (T)). A of one strand always pairs with a T of another, and so does C with G. The characteristic enables batch fabrication of diverse micro parts by using several kinds of DNA properly. Therefore, our method can be applied to the fabrication of MEMS. In this paper, in order to verify the feasibility of the automatic positioning using DNA hybridization, we performed a fundamental experiment for addressing polystyrene microspheres (1, 2, 6μm diameter) on the DNA patterned glass substrate.

Some Geometrical Characteristics of the Long-Lived Solar Filaments

1994 ◽  
Vol 144 ◽  
pp. 387-389
Author(s):  
P. Duchlev ◽  
Z. Mouradian ◽  
V. N. Dermendjiev
Keyword(s):  
Filament Length ◽  
Geometrical Characteristics ◽  
Solar Filaments

AbstractTwo basic geometric quantities - the filament length and the height above the limb of the long-lived filaments are studied. Some statistical relations are obtained.

Material Identification in Presence of Metal for Baggage Screening

2020 ◽  
Vol 2020 (14) ◽  
pp. 294-1-294-8
Author(s):  
Sandamali Devadithya ◽  
David Castañón
Keyword(s):  
Atomic Number ◽  
Effective Atomic Number ◽  
Simulated Data ◽  
Dual Energy ◽  
Basis Functions ◽  
Total Variation Regularization ◽  
Ct Scanner ◽  
Edge Preserving ◽  
Baggage Screening ◽  
Dual Energy Imaging

Dual-energy imaging has emerged as a superior way to recognize materials in X-ray computed tomography. To estimate material properties such as effective atomic number and density, one often generates images in terms of basis functions. This requires decomposition of the dual-energy sinograms into basis sinograms, and subsequently reconstructing the basis images. However, the presence of metal can distort the reconstructed images. In this paper we investigate how photoelectric and Compton basis functions, and synthesized monochromatic basis (SMB) functions behave in the presence of metal and its effect on estimation of effective atomic number and density. Our results indicate that SMB functions, along with edge-preserving total variation regularization, show promise for improved material estimation in the presence of metal. The results are demonstrated using both simulated data as well as data collected from a dualenergy medical CT scanner.

A Study on Utilization of Three-Dimensional Sensor Lip Image for Developing a Pronunciation Recognition System

2019 ◽  
Vol 63 (5) ◽  
pp. 50402-1-50402-9 ◽  
Author(s):  
Ing-Jr Ding ◽  
Chong-Min Ruan
Keyword(s):  
Principal Component Analysis ◽  
Automatic Speech Recognition ◽  
Feature Fusion ◽  
Three Dimensional ◽  
Principal Component ◽  
Recognition System ◽  
Geometrical Characteristics ◽  
3D Geometry ◽  
Different Types ◽  
The Disabled

Abstract The acoustic-based automatic speech recognition (ASR) technique has been a matured technique and widely seen to be used in numerous applications. However, acoustic-based ASR will not maintain a standard performance for the disabled group with an abnormal face, that is atypical eye or mouth geometrical characteristics. For governing this problem, this article develops a three-dimensional (3D) sensor lip image based pronunciation recognition system where the 3D sensor is efficiently used to acquire the action variations of the lip shapes of the pronunciation action from a speaker. In this work, two different types of 3D lip features for pronunciation recognition are presented, 3D-(x, y, z) coordinate lip feature and 3D geometry lip feature parameters. For the 3D-(x, y, z) coordinate lip feature design, 18 location points, each of which has 3D-sized coordinates, around the outer and inner lips are properly defined. In the design of 3D geometry lip features, eight types of features considering the geometrical space characteristics of the inner lip are developed. In addition, feature fusion to combine both 3D-(x, y, z) coordinate and 3D geometry lip features is further considered. The presented 3D sensor lip image based feature evaluated the performance and effectiveness using the principal component analysis based classification calculation approach. Experimental results on pronunciation recognition of two different datasets, Mandarin syllables and Mandarin phrases, demonstrate the competitive performance of the presented 3D sensor lip image based pronunciation recognition system.

Maxwell’s Equations versus Newton’s Third Law

2018 ◽  
Author(s):  
Glyn Kennell ◽  
Richard Evitts
Keyword(s):  
Electric Fields ◽  
Maxwell’S Equations ◽  
Maxwell's Equations ◽  
Simulated Data ◽  
Numerical Data ◽  
Transport Equations ◽  
Concentration Gradients ◽  
Third Law

The presented simulated data compares concentration gradients and electric fields with experimental and numerical data of others. This data is simulated for cases involving liquid junctions and electrolytic transport. The objective of presenting this data is to support a model and theory. This theory demonstrates the incompatibility between conventional electrostatics inherent in Maxwell's equations with conventional transport equations. <br>

Constructing and model-fitting receiver operator characteristics using continuous data.

2018 ◽  
Author(s):  
Josephine Ann Urquhart ◽  
Akira O'Connor
Keyword(s):  
Signal Detection ◽  
Least Squares Method ◽  
Model Fitting ◽  
Simulated Data ◽  
Continuous Variable ◽  
Continuous Data ◽  
Model Parameters ◽  
Operating Characteristics ◽  
Unequal Variance ◽  
Discrete Discrimination

Receiver operating characteristics (ROCs) are plots which provide a visual summary of a classifier’s decision response accuracy at varying discrimination thresholds. Typical practice, particularly within psychological studies, involves plotting an ROC from a limited number of discrete thresholds before fitting signal detection parameters to the plot. We propose that additional insight into decision-making could be gained through increasing ROC resolution, using trial-by-trial measurements derived from a continuous variable, in place of discrete discrimination thresholds. Such continuous ROCs are not yet routinely used in behavioural research, which we attribute to issues of practicality (i.e. the difficulty of applying standard ROC model-fitting methodologies to continuous data). Consequently, the purpose of the current article is to provide a documented method of fitting signal detection parameters to continuous ROCs. This method reliably produces model fits equivalent to the unequal variance least squares method of model-fitting (Yonelinas et al., 1998), irrespective of the number of data points used in ROC construction. We present the suggested method in three main stages: I) building continuous ROCs, II) model-fitting to continuous ROCs and III) extracting model parameters from continuous ROCs. Throughout the article, procedures are demonstrated in Microsoft Excel, using an example continuous variable: reaction time, taken from a single-item recognition memory. Supplementary MATLAB code used for automating our procedures is also presented in Appendix B, with a validation of the procedure using simulated data shown in Appendix C.

The Bias of Individuals (In Crowds): Why Implicit Bias is Probably a Noisily-Measured Individual-Level Construct

2020 ◽  
Author(s):  
Paul Robert Connor ◽  
Ellen Riemke Katrien Evers
Keyword(s):  
Measurement Error ◽  
Present Article ◽  
Implicit Bias ◽  
Empirical Support ◽  
Simulated Data ◽  
Individual Level ◽  
Substantial Error

Payne, Vuletich, and Lundberg’s bias-of-crowds model proposes that a number of empirical puzzles can be resolved by conceptualizing implicit bias as a feature of situations rather than a feature of individuals. In the present article we argue against this model and propose that, given the existing evidence, implicit bias is best understood as an individual-level construct measured with substantial error. First, using real and simulated data, we show how each of Payne and colleagues’ proposed puzzles can be explained as being the result of measurement error and its reduction via aggregation. Second, we discuss why the authors’ counterarguments against this explanation have been unconvincing. Finally, we test a hypothesis derived from the bias-of-crowds model about the effect of an individually targeted “implicit-bias-based expulsion program” within universities and show the model to lack empirical support. We conclude by considering the implications of conceptualizing implicit bias as a noisily measured individual-level construct for ongoing implicit-bias research. All data and code are available at https://osf.io/tj8u6/.

Sign in / Sign up

Export Citation Format

Share Document