scholarly journals Improving data acquisition speed and accuracy in sport using neural networks

2020 ◽  
pp. 1-10
Author(s):  
Christopher Papic ◽  
Ross H Sanders ◽  
Roozbeh Naemi ◽  
Marc Elipot ◽  
Jordan Andersen
Keyword(s):  
Neural Networks ◽  
Data Acquisition ◽  
Acquisition Speed ◽  
Speed And Accuracy

One Kind of Data Acquisition System Used in PC104 Embedded Navigation Computer

2013 ◽  
Vol 347-350 ◽  
pp. 24-27 ◽  
Author(s):  
Zhao Hua Liu ◽  
Yu Liang Mao ◽  
Chun Lei Song
Keyword(s):  
Data Acquisition ◽  
Data Acquisition System ◽  
Acquisition System ◽  
Time Dynamic ◽  
Logic Control ◽  
Navigation Computer ◽  
Dynamic Navigation ◽  
Acquisition Speed ◽  
Hardware Circuit ◽  
Circuit Configuration

In order to meet requirements of real-time dynamic navigation system, one multi-channels synchronization data acquisition system was designed based on PC104 bus. It can achieve simultaneous sampling of multiple channels data in one conversion cycle of ADC. The logic control is performed by FPGA, FIFO integrated by FPGA is used as buffer, so we can use resources of FPGA in large. At the same time, this design simplified the hardware circuit and improved circuit configuration flexibility. Using interrupt mode to read data into the FIFO, so it enhanced the data acquisition speed and reduced the burden on the navigation computer. Tests proved this system is efficient and feasible.

Sparse Scanning Electron Microscopy Data Acquisition and Deep Neural Networks for Automated Segmentation in Connectomics

2020 ◽  
Vol 26 (3) ◽  
pp. 403-412 ◽  
Author(s):  
Pavel Potocek ◽  
Patrick Trampert ◽  
Maurice Peemen ◽  
Remco Schoenmakers ◽  
Tim Dahmen
Keyword(s):  
Electron Microscopy ◽  
Neural Networks ◽  
Scanning Electron Microscopy ◽  
Image Reconstruction ◽  
Data Acquisition ◽  
Real Life ◽  
Large Field ◽  
Acquisition Time ◽  
Scanning Electron Microscopy Data ◽  
Scanning Electron

AbstractWith the growing importance of three-dimensional and very large field of view imaging, acquisition time becomes a serious bottleneck. Additionally, dose reduction is of importance when imaging material like biological tissue that is sensitive to electron radiation. Random sparse scanning can be used in the combination with image reconstruction techniques to reduce the acquisition time or electron dose in scanning electron microscopy. In this study, we demonstrate a workflow that includes data acquisition on a scanning electron microscope, followed by a sparse image reconstruction based on compressive sensing or alternatively using neural networks. Neuron structures are automatically segmented from the reconstructed images using deep learning techniques. We show that the average dwell time per pixel can be reduced by a factor of 2–3, thereby providing a real-life confirmation of previous results on simulated data in one of the key segmentation applications in connectomics and thus demonstrating the feasibility and benefit of random sparse scanning techniques for a specific real-world scenario.

scholarly journals Theoretical and Empirical Analysis of Crime Data

2021 ◽  
Author(s):  
Manisha Mudgal ◽  
Deepika Punj ◽  
Anuradha Pillai
Keyword(s):  
Data Mining ◽  
Neural Networks ◽  
Artificial Neural Networks ◽  
Deep Learning ◽  
Real Time ◽  
High Speed ◽  
Association Mining ◽  
Crime Prediction ◽  
Methods And Techniques ◽  
Speed And Accuracy

Crime is one of the biggest and dominating problems in today’s world and it is not only harmful to the person involved but also to the community and government. Due to escalation in crime frequency, there is a need for a system that can detect and predict crimes. This paper describes the summary of the different methods and techniques used to identify, analyze and predict upcoming and present crimes. This paper shows, how data mining techniques can be used to detect and predict crime using association mining rule, k-means clustering, decision tree, artificial neural networks and deep learning methods are also explained. Most of the researches are currently working on forecasting the occurrence of future crime. There is a need for approaches that can work on real-time crime prediction at high speed and accuracy. In this paper, a model has been proposed that can work on real-time crime prediction by recognizing human actions. 

scholarly journals Using the Volta phase plate with defocus for cryo-EM single particle analysis

eLife ◽  
2017 ◽  
Vol 6 ◽  
Author(s):  
Radostin Danev ◽  
Dimitry Tegunov ◽  
Wolfgang Baumeister
Keyword(s):  
Data Acquisition ◽  
Single Particle ◽  
Hybrid Approach ◽  
Particle Analysis ◽  
Phase Plate ◽  
Single Particle Analysis ◽  
Resolution Limit ◽  
Contrast Transfer Function ◽  
Acquisition Speed ◽  
Acquisition Method

Previously, we reported an in-focus data acquisition method for cryo-EM single-particle analysis with the Volta phase plate (Danev and Baumeister, 2016). Here, we extend the technique to include a small amount of defocus which enables contrast transfer function measurement and correction. This hybrid approach simplifies the experiment and increases the data acquisition speed. It also removes the resolution limit inherent to the in-focus method thus allowing 3D reconstructions with resolutions better than 3 Å.

scholarly journals Deep-learning microscopy image reconstruction with quality control reveals second-scale rearrangements in RNA polymerase II clusters

2021 ◽  
Author(s):  
Hamideh Hajiabadi ◽  
Irina Mamontova ◽  
Roshan Prizak ◽  
Agnieszka Pancholi ◽  
Anne Koziolek ◽  
...  
Keyword(s):  
Neural Networks ◽  
Quality Control ◽  
Rna Polymerase ◽  
Rna Polymerase Ii ◽  
Image Acquisition ◽  
Work Flow ◽  
Biological Research ◽  
Pol Ii ◽  
Sequence Of Events ◽  
Acquisition Speed

AbstractFluorescence microscopy, a central tool of biological research, is subject to inherent trade-offs in experiment design. For instance, image acquisition speed can only be increased in exchange for a lowered signal quality, or for an increased rate of photo-damage to the specimen. Computational denoising can recover some loss of signal, extending the trade-off margin for high-speed imaging. Recently proposed denoising on the basis of neural networks shows exceptional performance but raises concerns of errors typical of neural networks. Here, we present a work-flow that supports an empirically optimized reduction of exposure times, as well as per-image quality control to exclude images with reconstruction errors. We implement this work-flow on the basis of the denoising tool Noise2Void and assess the molecular state and three-dimensional shape of RNA Polymerase II (Pol II) clusters in live zebrafish embryos. Image acquisition speed could be tripled, achieving 2-second time resolution and 350-nanometer lateral image resolution. The obtained data reveal stereotyped events of approximately 10 seconds duration: initially, the molecular mark for initiated Pol II increases, then the mark for active Pol II increases, and finally Pol II clusters take on a stretched and unfolded shape. An independent analysis based on fixed sample images reproduces this sequence of events, and suggests that they are related to the transient association of genes with Pol II clusters. Our work-flow consists of procedures that can be implemented on commercial fluorescence microscopes without any hardware or software modification, and should therefore be transferable to many other applications.

scholarly journals Neuron Connectivity and Thickness Analysis of Brain for Autism Spectrum Disorder to Improve Speed and Accuracy

2019 ◽  
Vol 9 (1) ◽  
pp. 20-25
Keyword(s):  
Neural Networks ◽  
Autism Spectrum Disorder ◽  
Cochlear Implants ◽  
Pose Estimation ◽  
Autism Spectrum ◽  
Speed Ratio ◽  
Neuronal Connectivity ◽  
3D Pose Estimation ◽  
Implanted Electrodes ◽  
Speed And Accuracy

Neuronal Connectivity is learning from the intelligence to enhance the knowledge of our computing devices, certain, namely recognition, locomotion, or objective recognition. Such synthetic neural networks have at last being used after understood patterns on talent recreation between Amygdala imaging Scientists studied the talent for 150 years, trying to link the intelligence along behavior. Such studies have old strategies beyond microscopes according to inserting genes within existing cells. This paper interface device, such so cochlear implants then implanted electrodes according to allow Amygdala Images according to pace devices outside perform repair lost applications to individuals. Neurons firing round 5 in imitation of 50 instances a second speed Signals in a tent about a second regular neuron makes 10000 connections including 5000 trillion synapses. The reliability propriety over susen algorithms that new method 3D pose estimation in Drosophila the usage on accuracy with speed ratio then statistics dividing in accordance with permit counterpart throughout analysis NIAK for UCI Dataset Autism Screening Adult(ASA) better rate of accuracy 95.41% and speed 91.72%.

scholarly journals 3 D scanner integration with product development

2018 ◽  
Vol 7 (2.13) ◽  
pp. 220 ◽  
Author(s):  
Lalit Kumar ◽  
Mohd Shuaib ◽  
Qamar Tanveer ◽  
Vineet Kumar ◽  
Mohd Javaid ◽  
...  
Keyword(s):  
Product Development ◽  
Reverse Engineering ◽  
Data Acquisition ◽  
New Product Development ◽  
Three Dimensional ◽  
Shape Reconstruction ◽  
3 Dimensional ◽  
Development Cycle ◽  
Working Principle ◽  
Speed And Accuracy

Purpose: The purpose of this paper is to give a basic understanding of the working and use of 3 D Scanner in reverse engineering, shape reconstruction and product designing. It discusses the use of 3 D Scanner in product development field and also presents a method to acquire the required data of existing component through which we can develop the new product.Design/methodology/approach: To understand the fundamental working principle of the scanner, an algorithm is discussed which shows the data collection procedure of the scanner. The obtained data is verified with existing CAD data with the help of software, and an example is also discussed to explain the process.Findings: This study shows that the integration of scanner technology with product development cycle will help to improve the development process of any product, as this technology provides benefits through reduction in time, money and resources.Research limitations/implications: The speed and accuracy of the Scanner depends upon the method adopted to capture the data.Practical implications – Reverse engineering is a process of change an existing product into a new product. Development of an existing product we required the three-dimensional data of the product. The data acquisition process is critical and time-consuming. The design expert uses different approaches to collect the necessary parameters. This study discusses one of the data acquisition technology, i.e. 3-dimensional scanner.Originality/value – In this article, we are discussing one of the original methods to show the integration of scanner technology with product development. 

Downsized Evolutionary Video Processing for Lips Tracking and Data Acquisition

2007 ◽  
Vol 11 (8) ◽  
pp. 1030-1042 ◽  
Author(s):  
Takuya Akashi ◽  
◽  
Yuji Wakasa ◽  
Kanya Tanaka ◽  
Stephen Karungaru ◽  
...  
Keyword(s):  
Data Acquisition ◽  
Video Processing ◽  
High Speed ◽  
Processing Time ◽  
High Accuracy ◽  
Natural Scenes ◽  
Trade Off ◽  
Region Detection ◽  
Detection And Tracking ◽  
Speed And Accuracy

In this paper, high-speed lips tracking and data acquisition of a talking person in natural scenes are presented. Our approach is based on the Evolutionary Video Processing. This method has a trade-off between accuracy and a processing time. To solve this problem, in this paper, we proposed Evolutionary Video Processing with automatic SD-Control. In our simulations, the effectiveness of the proposed method is verified by a comparison experiment. The proposed method improves the performance, speed and accuracy, from 68.4% to 86.2%. Furthermore, it is evaluated that our proposed method can continue to chase the lips region even in such a case. It is demonstrated that the lips region detection and tracking at high speed and with high accuracy is possible, with acquisition of its numerical geometric change information.

Design of SPI Bus Communication in the Multi-Channel Data Acquisition Systems

2012 ◽  
Vol 532-533 ◽  
pp. 187-191
Author(s):  
Bei Yang ◽  
Xiao Wu Ding
Keyword(s):  
Control System ◽  
Data Acquisition ◽  
System Structure ◽  
Signal Conditioning ◽  
Communication Design ◽  
Communication Interaction ◽  
Spi Bus ◽  
Speed And Accuracy ◽  
Signal Conditioning Circuit ◽  
Conditioning Circuit

the system structure of a multi-channel data acquirement system is introduced in this paper. The communication interaction circuit between the main control system and signal conditioning circuit is described. The SPI bus communication type is adopted between C8051F320 and FPGA. The speed and accuracy of datum transfer must be considered in the communication design, so the CRC calibration is used.

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