A High-Performance, High-Accuracy RTK GPS Machine Guiadance System

Abstract In this paper, an optimal data-driven modeling-free differential-inversion-based iterative control (OMFDIIC) method is proposed for both high performance and robustness in the presence of random disturbances. Achieving high accuracy and fast convergence is challenging as the system dynamics behaviors vary due to the external uncertainties and the system bandwidth is limited. The aim of the proposed method is to compensate for the dynamics effect without modeling process and achieve both high accuracy and robust convergence, by extending the existed modeling-free differential-inversion-based iterative control (MFDIIC) method through a frequency- and iteration-dependent gain. The convergence of the OMFDIIC method is analyzed with random noise/disturbances considered. The developed method is applied to a wafer stage, and shows a significant improvement in the performance.

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A Novel Machine Learning Sepsis Prediction Algorithm for Intended ICU Use (NAVOY Sepsis): A Proof-of-Concept Study (Preprint)

10.2196/preprints.28000 ◽

2021 ◽

Author(s):

Inger Persson ◽

Andreas Östling ◽

Martin Arlbrandt ◽

Joakim Söderberg ◽

David Becedas

Keyword(s):

Machine Learning ◽

High Performance ◽

Learning Algorithm ◽

Scoring Systems ◽

High Accuracy ◽

Prediction Algorithm ◽

Massachusetts Institute Of Technology ◽

Operating Characteristics ◽

Mortality And Morbidity ◽

Institute Of Technology

BACKGROUND Despite decades of research, sepsis remains a leading cause of mortality and morbidity in ICUs worldwide. The key to effective management and patient outcome is early detection, where no prospectively validated machine learning prediction algorithm is available for clinical use in Europe today. OBJECTIVE To develop a high-performance machine learning sepsis prediction algorithm based on routinely collected ICU data, designed to be implemented in Europe. METHODS The machine learning algorithm is developed using Convolutional Neural Network, based on the Massachusetts Institute of Technology Lab for Computational Physiology MIMIC-III Clinical Database, focusing on ICU patients aged 18 years or older. Twenty variables are used for prediction, on an hourly basis. Onset of sepsis is defined in accordance with the international Sepsis-3 criteria. RESULTS The developed algorithm NAVOY Sepsis uses 4 hours of input and can with high accuracy predict patients with high risk of developing sepsis in the coming hours. The prediction performance is superior to that of existing sepsis early warning scoring systems, and competes well with previously published prediction algorithms designed to predict sepsis onset in accordance with the Sepsis-3 criteria, as measured by the area under the receiver operating characteristics curve (AUROC) and the area under the precision-recall curve (AUPRC). NAVOY Sepsis yields AUROC = 0.90 and AUPRC = 0.62 for predictions up to 3 hours before sepsis onset. The predictive performance is externally validated on hold-out test data, where NAVOY Sepsis is confirmed to predict sepsis with high accuracy. CONCLUSIONS An algorithm with excellent predictive properties has been developed, based on variables routinely collected at ICUs. This algorithm is to be further validated in an ongoing prospective randomized clinical trial and will be CE marked as Software as a Medical Device, designed for commercial use in European ICUs.

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Novel 500-GHz Band Waveguide Stepped Septum-Type Circular Polarizer with a New High-Accuracy and Very Small Waveguide Flange

Journal of Infrared Millimeter and Terahertz Waves ◽

10.1007/s10762-020-00752-9 ◽

2020 ◽

Author(s):

Yutaka Hasegawa ◽

Hiroyuki Maezawa ◽

Hideo Ogawa

Keyword(s):

High Performance ◽

High Accuracy ◽

Circular Polarizer ◽

New Methods ◽

Position Errors ◽

Surface Flatness ◽

Atmospheric Observations ◽

Dimensional Errors ◽

Determination Mechanism ◽

Better Than

Abstract A new waveguide stepped septum-type circular polarizer (SST-CP) was developed to operate in the 500-GHz band for radio astronomical and planetary atmospheric observations. In a previous study, we developed a practical SST-CP for the 230-GHz band. However, several issues prevent this device being easily scaled down to the 500-GHz band, such as manufacturing dimensional errors and waveguide flange position errors. In this study, we developed a new waveguide flange with a high-accuracy position determination mechanism and a very small size of 10 × 10 mm. We also developed a new fabrication technique to obtain very good flatness for the device’s blank materials by high-accuracy polishing using a resin fixture. Using these new methods, the manufactured 500-GHz band SST-CP achieved a cross-polarization talk level of better than – 30 dB at 465–505 GHz, a device surface flatness of within 3 μm, and also the horizontal positioning error of ± 3 μm. These results indicate that the developed 500-GHz band SST-CP has high performance in the high-frequency band, and thus the new manufacturing methods are effective in the 500-GHz band.

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Laboratory-Scale Single Axis Solar Tracking System: Design and Implementation

International Journal of Power Electronics and Drive Systems (IJPEDS) ◽

10.11591/ijpeds.v7.i1.pp254-264 ◽

2016 ◽

Vol 7 (1) ◽

pp. 254 ◽

Cited By ~ 1

Author(s):

Allan Soon Chan Roong ◽

Shin-Horng Chong

Keyword(s):

System Design ◽

High Performance ◽

Tracking System ◽

High Accuracy ◽

Laboratory Scale ◽

Performance Ratio ◽

Design And Development ◽

Design And Implementation ◽

Solar Tracking ◽

Angle Of Rotation

This paper presents the design and development of a laboratory-scale single axis solar tracking system. The chronological method was implemented into the system because it has high accuracy and can save more energy as compared to other types of solar tracking system. The laboratory-scale single axis solar tracking system can be used to identify the suitable and safe workspace for the installation of the actual solar tracking system plant. Besides, the validity of the laboratory-scale single axis solar tracking system was examined experimentally. The angle of rotation, per hour is preferable to be implemented into the designed laboratory-scale single axis sun tracking system due to the high performance ratio which is 0.83 and can save the energy up to 25% during sunny days.

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Low-Cost Receiver and Network Real-Time Kinematic Positioning for use in Connected and Autonomous Vehicles

Journal of Navigation ◽

10.1017/s037346331800111x ◽

2019 ◽

Vol 72 (04) ◽

pp. 917-930

Author(s):

Fang-Shii Ning ◽

Xiaolin Meng ◽

Yi-Ting Wang

Keyword(s):

Real Time ◽

Autonomous Vehicles ◽

High Performance ◽

Low Cost ◽

Satellite System ◽

High Accuracy ◽

Future Trend ◽

Intelligent Transport System ◽

Positioning System ◽

Gnss Receiver

Connected and Autonomous Vehicles (CAVs) have been researched extensively for solving traffic issues and for realising the concept of an intelligent transport system. A well-developed positioning system is critical for CAVs to achieve these aims. The system should provide high accuracy, mobility, continuity, flexibility and scalability. However, high-performance equipment is too expensive for the commercial use of CAVs; therefore, the use of a low-cost Global Navigation Satellite System (GNSS) receiver to achieve real-time, high-accuracy and ubiquitous positioning performance will be a future trend. This research used RTKLIB software to develop a low-cost GNSS receiver positioning system and assessed the developed positioning system according to the requirements of CAV applications. Kinematic tests were conducted to evaluate the positioning performance of the low-cost receiver in a CAV driving environment based on the accuracy requirements of CAVs. The results showed that the low-cost receiver satisfied the “Where in Lane” accuracy level (0·5 m) and achieved a similar positioning performance in rural, interurban, urban and motorway areas.

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High-accuracy low-cost RTK-GPS for an unmannned surface vehicle

OCEANS 2015 - Genova ◽

10.1109/oceans-genova.2015.7271673 ◽

2015 ◽

Cited By ~ 9

Author(s):

B. Matias ◽

H. Oliveira ◽

J. Almeida ◽

A. Dias ◽

H. Ferreira ◽

...

Keyword(s):

Low Cost ◽

High Accuracy ◽

Rtk Gps

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Output Feedback Robust Control of Direct Current Motors With Nonlinear Friction Compensation and Disturbance Rejection

Journal of Dynamic Systems Measurement and Control ◽

10.1115/1.4028743 ◽

2014 ◽

Vol 137 (4) ◽

Cited By ~ 10

Author(s):

Jianyong Yao ◽

Zongxia Jiao ◽

Dawei Ma

Keyword(s):

Direct Current ◽

High Performance ◽

Controller Design ◽

High Accuracy ◽

Friction Model ◽

Practical Implementation ◽

Accuracy Control ◽

External Disturbances ◽

Output Tracking ◽

Dc Motors

High accuracy tracking control of direct current (DC) motors is concerned in this paper. A continuously differentiable friction model is adopted to account for the friction nonlinearities, which allows more flexible and suitable practical implementation. Since only output signal is available for measurement, an extended state observer (ESO) is designed to provide precise estimates of the unmeasurable state together with external disturbances, which facilitates the controller design without any transformations. The global stability of the controller is ensured via a certain robust feedback law. The resulting controller theoretically guarantees a prescribed tracking performance in general, while achieving asymptotic output tracking in the absence of time-varying disturbances, which is very important for high accuracy control of motion systems. Comparative experimental results are obtained to verify the high-performance nature of the proposed control strategy.

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High-Speed and High-Accuracy Schemes of Coordinate Calculation and End Point Judgment for Elliptic Interpolation

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.217-219.2664 ◽

2012 ◽

Vol 217-219 ◽

pp. 2664-2668

Author(s):

Shi Yong Wang ◽

Di Li

Keyword(s):

Motion Control ◽

High Speed ◽

High Performance ◽

High Accuracy ◽

Interpolation Point ◽

End Point ◽

Sample Method ◽

Relationship Of ◽

Approximation Calculation

To implement high-speed and high-accuracy elliptic interpolation required in high-performance motion control, novel coordinate calculation and end point judgment schemes are proposed. Data Sample method is used for coordinate calculation. High accuracy is guaranteed by avoiding approximation calculation of interpolation points. Exact end point judgment is constructed based on the position relationship of the current interpolation point, the next interpolation point and the end point to avoid incomplete interpolation or over interpolation of elliptic trajectories. The proposed schemes feature fewer amounts of calculation and high accuracy and can produce any elliptic trajectories.

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Lithography-Based Ceramic Manufacturing: A Novel Technique for Additive Manufacturing of High-Performance Ceramics

Advances in Science and Technology ◽

10.4028/www.scientific.net/ast.88.60 ◽

2014 ◽

Vol 88 ◽

pp. 60-64 ◽

Cited By ~ 17

Author(s):

Martin Schwentenwein ◽

Peter Schneider ◽

Johannes Homa

Keyword(s):

Additive Manufacturing ◽

High Performance ◽

Bending Strength ◽

New Technology ◽

High Accuracy ◽

Ceramic Suspension ◽

Novel Technique ◽

Ceramic Manufacturing ◽

Manufacturing Technologies ◽

Very High

Albeit widely established in plastic and metal industry, additive manufacturing technologies are still a rare sight in the field of ceramic manufacturing. This is mainly due to the requirements for high performance ceramic parts, which no additive manufacturing process was able to meet to date.The Lithography-based Ceramic Manufacturing (LCM)-technology which enables the production of dense and precise ceramic parts by using a photocurable ceramic suspension that is hardened via a photolithographic process. This new technology not only provides very high accuracy, it also reaches high densities for the sintered parts. In the case of alumina a relative density of over 99.4 % and a 4-point-bending strength of almost 430 MPa were realized. Thus, the achievable properties are similar to conventional manufacturing methods, making the LCM-technology an interesting complement for the ceramic industry.

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Using high-performance deep learning platform to accelerate object detection

Information Technology and Nanotechnology ◽

10.18287/1613-0073-2019-2416-354-360 ◽

2019 ◽

pp. 354-360 ◽

Cited By ~ 1

Author(s):

S O Stepanenko ◽

P Y Yakimov

Keyword(s):

Neural Network ◽

Neural Networks ◽

Image Processing ◽

Processing Speed ◽

High Performance ◽

Object Classification ◽

High Accuracy ◽

Learning Platform ◽

The Neural Network

Object classification with use of neural networks is extremely current today. YOLO is one of the most often used frameworks for object classification. It produces high accuracy but the processing speed is not high enough especially in conditions of limited performance of a computer. This article researches use of a framework called NVIDIA TensorRT to optimize YOLO with the aim of increasing the image processing speed. Saving efficiency and quality of the neural network work TensorRT allows us to increase the processing speed using an optimization of the architecture and an optimization of calculations on a GPU.

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