scholarly journals Moldless PEGDA-Based Optoelectrofluidic Platform for Microparticle Selection

2011 ◽  
Vol 2011 ◽  
pp. 1-8 ◽  
Author(s):  
Shih-Mo Yang ◽  
Tung-Ming Yu ◽  
Ming-Huei Liu ◽  
Long Hsu ◽  
Cheng-Hsien Liu
Keyword(s):  
Material Design ◽  
Real Time Control ◽  
Glycol Diacrylate ◽  
Single Spin ◽  
Time Control ◽  
Control Interface ◽  
Microfluidic Flow ◽  
Ito Glass ◽  
New Material ◽  
Poly Ethylene

This paper reports on an optoelectrofluidic platform which consists of the organic photoconductive material, titanium oxide phthalocyanine (TiOPc), and the photocrosslinkable polymer, poly (ethylene glycol) diacrylate (PEGDA). TiOPc simplifies the fabrication process of the optoelectronic chip due to requiring only a single spin-coating step. PEGDA is applied to embed the moldless PEGDA-based microchannel between the top ITO glass and the bottom TiOPc substrate. A real-time control interface via a touch panel screen is utilized to select the target 15 μm polystyrene particles. When the microparticles flow to an illuminating light bar, which is oblique to the microfluidic flow path, the lateral driving force diverts the microparticles. Two light patterns, the switching oblique light bar and the optoelectronic ladder phenomenon, are designed to demonstrate the features. This work integrating the new material design, TiOPc and PEGDA, and the ability of mobile microparticle manipulation demonstrates the potential of optoelectronic approach.

scholarly journals Open Database for Accurate Upper-Limb Intent Detection Using Electromyography and Reliable Extreme Learning Machines

Sensors ◽  
2019 ◽  
Vol 19 (8) ◽  
pp. 1864 ◽  
Author(s):  
Vinicius Cene ◽  
Mauricio Tosin ◽  
Juliano Machado ◽  
Alexandre Balbinot
Keyword(s):  
Signal Processing ◽  
Signal Classification ◽  
Disruptive Technology ◽  
Extreme Learning Machines ◽  
Real Time Control ◽  
Semg Signal ◽  
Human Interface ◽  
Learning Machines ◽  
Time Control ◽  
Control Interface

Surface Electromyography (sEMG) signal processing has a disruptive technology potential to enable a natural human interface with artificial limbs and assistive devices. However, this biosignal real-time control interface still presents several restrictions such as control limitations due to a lack of reliable signal prediction and standards for signal processing among research groups. Our paper aims to present and validate our sEMG database through the signal classification performed by the reliable forms of our Extreme Learning Machines (ELM) classifiers, used to maintain a more consistent signal classification. To perform the signal processing, we explore the use of a stochastic filter based on the Antonyan Vardan Transform (AVT) in combination with two variations of our Reliable classifiers (denoted R-ELM and R-Regularized ELM (RELM), respectively), to derive a reliability metric from the system, which autonomously selects the most reliable samples for the signal classification. To validate and compare our database and classifiers with related papers, we performed the classification of the whole of Databases 1, 2, and 6 (DB1, DB2, and DB6) of the NINAProdatabase. Our database presented consistent results, while the reliable forms of ELM classifiers matched or outperformed related papers, reaching average accuracies higher than 99 % for the IEEdatabase, while average accuracies of 75 . 1 % , 79 . 77 % , and 69 . 83 % were achieved for NINAPro DB1, DB2, and DB6, respectively.

Development of the Open Architecture Platform for Controller

2011 ◽  
Vol 268-270 ◽  
pp. 626-630
Author(s):  
Jun Mei Xi ◽  
Gao Hua Liao
Keyword(s):  
Intelligent Control ◽  
Fast Response ◽  
High Accuracy ◽  
Open Architecture ◽  
Real Time Control ◽  
Velocity Error ◽  
Time Control ◽  
Control Interface ◽  
Signal Wire ◽  
Machine Interface

At present，the open arehitecture controller and the field bus for motion control is a hotspot at home and abroad in the field of numerieal control system.This paper analyses the advantage of the typieal open arehitecture controller and improves.The open movement contro1 Platform based on BUS,which uses the open numrerieal control arehiteehire, that is，in order to control the system intelligently, We use a signal wire or optical fibre which connects all the drivers and the I/O port to transmit signals. In the system，all the control is operated by the up-pc machine，and the intelligent control nod is only used for communicating and translating the instruction.The control system uses Visual C# to empolder the up-pc software, and uses C to empolder the intelligent control interface. Experiments show that the system with the velocity error of less than 5%, the transition time of less than 0.1s, position error of less than 1mm. It can achieve not only the customization of the human-machine interface, and the parameterization of the real-time control parts, but also the exact travel path, the fast response, high accuracy positioning and other performance.

Linear Interpolation Control of Numerical Control Machine Tools and its Realization Based on Multi-Axis Motion Control Card

2011 ◽  
Vol 201-203 ◽  
pp. 2423-2426
Author(s):  
Xiu Min Shi ◽  
Yi Dai ◽  
Wei Liu
Keyword(s):  
Motion Control ◽  
Linear Interpolation ◽  
Numerical Control ◽  
Real Time Control ◽  
Control Card ◽  
Time Control ◽  
Control Interface ◽  
Motion Control Card ◽  
Interpolation Procedure ◽  
Control Accuracy

The servo system consisting of PC computer, multi-axis motion control card, servo driver, servo motor and load was constructed. The paper studied the interpolation principle and edited the procedure of linear interpolation for two axis servo motors. After the communication between PC computer and servo driver based on the motion control card, the paper edited the control interface program calling the interpolation procedure, which could realize the simulation control and real time control to servo motors. The compare results show the control accuracy of the experiment is higher.

Real-time Control Interface for a Steerable Intermediate Unit in Long Combination Vehicles

ATZ worldwide ◽  
2017 ◽  
Vol 119 (6) ◽  
pp. 64-67
Author(s):  
Michael Hofmann ◽  
Sebastian Franz ◽  
Mohammad Manjurul Islam ◽  
Bengt Jacobson
Keyword(s):  
Real Time ◽  
Real Time Control ◽  
Time Control ◽  
Control Interface ◽  
Intermediate Unit

scholarly journals Real-Time Control of a Video Game Using Eye Movements and Two Temporal EEG Sensors

2015 ◽  
Vol 2015 ◽  
pp. 1-10 ◽  
Author(s):  
Abdelkader Nasreddine Belkacem ◽  
Supat Saetia ◽  
Kalanyu Zintus-art ◽  
Duk Shin ◽  
Hiroyuki Kambara ◽  
...  
Keyword(s):  
Eye Movements ◽  
Real Time ◽  
Eye Movement ◽  
Video Game ◽  
Classification Accuracy ◽  
Response Speed ◽  
Real Time Control ◽  
Time Control ◽  
Control Interface ◽  
Strong Motivation

EEG-controlled gaming applications range widely from strictly medical to completely nonmedical applications. Games can provide not only entertainment but also strong motivation for practicing, thereby achieving better control with rehabilitation system. In this paper we present real-time control of video game with eye movements for asynchronous and noninvasive communication system using two temporal EEG sensors. We used wavelets to detect the instance of eye movement and time-series characteristics to distinguish between six classes of eye movement. A control interface was developed to test the proposed algorithm in real-time experiments with opened and closed eyes. Using visual feedback, a mean classification accuracy of 77.3% was obtained for control with six commands. And a mean classification accuracy of 80.2% was obtained using auditory feedback for control with five commands. The algorithm was then applied for controlling direction and speed of character movement in two-dimensional video game. Results showed that the proposed algorithm had an efficient response speed and timing with a bit rate of 30 bits/min, demonstrating its efficacy and robustness in real-time control.

A Real Time Control Architecture for Continuously Managing Patients in a Care Unit

1995 ◽  
Vol 34 (05) ◽  
pp. 475-488
Author(s):  
B. Seroussi ◽  
J. F. Boisvieux ◽  
V. Morice
Keyword(s):  
Real Time ◽  
Linear Time ◽  
Treatment Plan ◽  
Control Architecture ◽  
Real Time Control ◽  
Time Representation ◽  
Time Control ◽  
Continuous Support ◽  
Definition Of ◽  
Computerized System

Abstract:The monitoring and treatment of patients in a care unit is a complex task in which even the most experienced clinicians can make errors. A hemato-oncology department in which patients undergo chemotherapy asked for a computerized system able to provide intelligent and continuous support in this task. One issue in building such a system is the definition of a control architecture able to manage, in real time, a treatment plan containing prescriptions and protocols in which temporal constraints are expressed in various ways, that is, which supervises the treatment, including controlling the timely execution of prescriptions and suggesting modifications to the plan according to the patient’s evolving condition. The system to solve these issues, called SEPIA, has to manage the dynamic, processes involved in patient care. Its role is to generate, in real time, commands for the patient’s care (execution of tests, administration of drugs) from a plan, and to monitor the patient’s state so that it may propose actions updating the plan. The necessity of an explicit time representation is shown. We propose using a linear time structure towards the past, with precise and absolute dates, open towards the future, and with imprecise and relative dates. Temporal relative scales are introduced to facilitate knowledge representation and access.

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