A Virtual Studio-Set System of High Speed and High Functional Performance Realized with Dedicated Hardware

Author(s):  
Ryu Watanabe ◽  
Akio Nishimura
Author(s):  
RubÉn Ramos Islas ◽  
Leopoldo Villafuerte Robles

<p><strong>Objective: </strong>The aim of this work is the assessment of an eventual improvement in flowability of free flowing excipients on formulations containing Noveon AA1 and their influence on compactibility and release profile.</p><p><strong>Methods: </strong>Mixtures containing 20% Noveon AA1 and variable proportions of metronidazole and the free flowing excipients Prosolv EasyTab and GalenIQ 720 and 721were tested in their powder flow rate and the tablets compactibility and released profiles.</p><p><strong>Results: </strong>The powder flowability obtained with GalenIQ is about 20% better than that obtained with EasyTab. However, it is lesser than that considered as acceptable for a high-speed tableting machine. EasyTab reduces the drug release up to a half along with a continuing flattening of the release profile. This is attributed to an increasing tortuosity of the drug release path as the proportion EasyTab increases. GalenIQ restricts drug release in about a third with a lesser change in the release mechanism. This is attributed to competition for the available water inside the tablet, between the hydrating Noveon AA1 and the dissolving GalenIQ. The compactibility of the metronidazole/Noveon AA1 mixtures increases after addition of EasyTab in about 3.5 N per unit percentage of the added excipient while GalenIQ does it in about 2.6 N.</p><p><strong>Conclusion: </strong>The powder flowability of mixtures of metronidazole with Noveon AA1 was not suited for direct compression after addition of 40% of the free-flow excipient. The free-flow excipients reduce the metronidazole release rate and increase its compactibility. It was not observed a different clear functioning between both types of GalenIQ.</p>


Author(s):  
X. Jiang

Surface size, geometry and texture are some of the most influential subjects in the fields of precision and ultra-precision engineering, defining the functional interface through which emerging products operate. Next-generation products demand super-smooth surfaces, freeform geometries or even deterministically introduced microstructures to provide functional performance. Technological progress using these surfaces types is possible only if the associated manufacturing processes are rigorously controlled and the surfaces are measurable. Metrology for advanced surfaces is not established. The current state of the art is challenged in respect to (i) surface characteristics, extremity of size, ultra precision, quality, geometric complexity, or combinations of these aspects, and (ii) measurement technology for the manufacturing environment, in particular, online, non-contact, high speed, ease of use, small footprint and robustness. This study addresses the challenges in this subject area and discusses some fundaments and principles derived from interdisciplinary research. The combination of these aspects is enabling the creation of manufacturing-environment-based measurement technology. This is expected to facilitate advanced surface manufacture over a wide range of sectors, including large science programmes and high-technology engineering.


2019 ◽  
Vol 120 ◽  
pp. 113 ◽  
Author(s):  
Rodrigo Ramirez-Campillo ◽  
Cristian Alvarez ◽  
Antonio García-Hermoso ◽  
Carlos Celis-Morales ◽  
Robinson Ramirez-Velez ◽  
...  

2020 ◽  
Author(s):  
A. K. Vaskov ◽  
P. P. Vu ◽  
N. North ◽  
A. J. Davis ◽  
T. A. Kung ◽  
...  

AbstractCurrently available prosthetic hands are capable of actuating anywhere from five to 30 degrees of freedom (DOF). However, grasp control of these devices remains unintuitive and cumbersome. To address this issue, we propose directly extracting finger commands from the neuromuscular system via electrodes implanted in residual innervated muscles and regenerative peripheral nerve interfaces (RPNIs). Two persons with transradial amputations had RPNIs created by suturing autologous free muscle grafts to their transected median, ulnar, and dorsal radial sensory nerves. Bipolar electrodes were surgically implanted into their ulnar and median RPNIs and into their residual innervated muscles. The implanted electrodes recorded local electromyography (EMG) with Signal-to-Noise Ratios ranging from 23 to 350 measured across various movements. In a series of single-day experiments, participants used a high speed pattern recognition system to control a virtual prosthetic hand in real-time. Both participants were able to transition between 10 pseudo-randomly cued individual finger and wrist postures in the virtual environment with an average online accuracy of 86.5% and latency of 255 ms. When the set was reduced to five grasp postures, average metrics improved to 97.9% online accuracy and 135 ms latency. Virtual task performance remained stable across untrained static arm positions while supporting the weight of the prosthesis. Participants also used the high speed classifier to switch between robotic prosthetic grips and complete a functional performance assessment. These results demonstrate that pattern recognition systems can use the high-quality EMG afforded by intramuscular electrodes and RPNIs to provide users with fast and accurate grasp control.SummarySurgically implanted electrodes recorded finger-specific electromyography enabling reliable finger and grasp control of an upper limb prosthesis.


2012 ◽  
Vol 2012 ◽  
pp. 1-14
Author(s):  
Sascha Mühlbach ◽  
Andreas Koch

Malicious software has become a major threat to computer users on the Internet today. Security researchers need to gather and analyze large sample sets to develop effective countermeasures. The setting of honeypots, which emulate vulnerable applications, is one method to collect attack code. We have proposed a dedicated hardware architecture for honeypots which allows both high-speed operation at 10 Gb/s and beyond and offers a high resilience against attacks on the honeypot infrastructure itself. In this work, we refine the base NetStage architecture for better management and scalability. Using dynamic partial reconfiguration, we can now update the functionality of the honeypot during operation. To allow the operation of a larger number of vulnerability emulation handlers, the initial single-device architecture is extended to scalable multichip systems. We describe the technical aspects of these modifications and show results evaluating an implementation on a current quad-FPGA reconfigurable computing platform.


2018 ◽  
Vol 110 ◽  
pp. 216-222 ◽  
Author(s):  
Rodrigo Ramirez-Campillo ◽  
Cristian Alvarez ◽  
Antonio Garcìa-Hermoso ◽  
Carlos Celis-Morales ◽  
Robinson Ramirez-Velez ◽  
...  

2017 ◽  
Vol 139 (7) ◽  
Author(s):  
Migara H. Liyanage ◽  
Nicholas Krouglicof

This study presents the development of an embedded system for controlling a high-speed robotic manipulator. Three different types of controllers including hardware proportional derivative (PD), software PD, and single time scale visual servoing are considered in this study. Novel field programmable gate array (FPGA) technology was used for implementing the embedded system for faster execution speeds and parallelism. It is comprised of dedicated hardware and software modules for obtaining sensor feedback and control signal (CT) estimation, providing the control signal to the servovalves. A NIOS II virtual soft processor system was configured in the FPGA for implementing functions that are computationally expensive and difficult to implement in hardware. Quadrature decoding, serial peripheral interface (SPI) input and output modules, and control signal estimation in some cases was carried out using the dedicated hardware modules. The experiments show that the proposed controller performed satisfactory control of the end effector position. It performed single time scale visual servoing with control signal updates at 330 Hz to control the end effector trajectory at speeds of up to 0.8 ms−1. The FPGA technology also provided a more compact single chip implementation of the controller.


Author(s):  
Cristian Jaque ◽  
Phillip Véliz ◽  
Rodrigo Ramirez-Campillo ◽  
Jason Moran ◽  
Paulo Gentil ◽  
...  

The authors compared the effects of bodyweight resistance training at moderate- or high-speed conditions on muscle power, velocity of movement, and functional performance in older females. In a randomized, single-blinded noncontrolled trial, participants completed 12 weeks (three sessions/week) of bodyweight resistance training at high (n = 14; age = 70.6 ± 4.3 years) or moderate (n = 12; age = 72.8 ± 4.2 years) speeds. Data were analyzed with an analysis of variance (Group × Time) with α level set at <.05. After the intervention, timed up and go test performance (p < .05) and the rising from a chair test mean (22.4%) and maximal velocity (28.5%), mean (24.4%) and maximal power (27.7%), normalized mean (25.1%), and normalized maximal power (28.5%) increased in the high-speed group (p < .05). However, the moderate-speed group achieved no improvements (Δ6.7–14.4%; p > .2). The authors conclude that high-speed bodyweight resistance training is an effective and economically practical strategy to improve the functional capacity of older women relevant to daily life activities.


2019 ◽  
Vol 123 ◽  
pp. 34-35
Author(s):  
Rodrigo Ramirez-Campillo ◽  
Cristian Alvarez ◽  
Antonio García-Hermoso ◽  
Carlos Celis-Morales ◽  
Robinson Ramirez-Velez ◽  
...  

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