scholarly journals Introducing coherent time control to cavity magnon-polariton modes

2020 ◽  
Vol 3 (1) ◽  
Author(s):  
Tim Wolz ◽  
Alexander Stehli ◽  
Andre Schneider ◽  
Isabella Boventer ◽  
Rair Macêdo ◽  
...  
Keyword(s):  
Energy Exchange ◽  
Dynamic Control ◽  
Normal Modes ◽  
Building Blocks ◽  
On Demand ◽  
Time Control ◽  
Demand Control ◽  
Coherent Manipulation ◽  
Beat Mode ◽  
Quantum Internet

AbstractBy connecting light to magnetism, cavity magnon-polaritons (CMPs) can link quantum computation to spintronics. Consequently, CMP-based information processing devices have  emerged over the last years, but have almost exclusively been investigated with single-tone spectroscopy. However, universal computing applications will require a dynamic and on-demand control of the CMP within nanoseconds. Here, we perform fast manipulations of the different CMP modes with independent but coherent pulses to the cavity and magnon system. We change the state of the CMP from the energy exchanging beat mode to its normal modes and further demonstrate two fundamental examples of coherent manipulation. We first evidence dynamic control over the appearance of magnon-Rabi oscillations, i.e., energy exchange, and second, energy extraction by applying an anti-phase drive to the magnon. Our results show a promising approach to control building blocks valuable for a quantum internet and pave the way for future magnon-based quantum computing research.

Theory of Temperature Dynamic Control in Arch Dams and its Application

2012 ◽  
Vol 594-597 ◽  
pp. 738-741 ◽  
Author(s):  
Yin Duan ◽  
Xing Hong Liu ◽  
Xiao Lin Chang
Keyword(s):  
Real Time ◽  
Temperature Control ◽  
Control Method ◽  
Dynamic Control ◽  
Arch Dam ◽  
Real Time Control ◽  
New Techniques ◽  
Time Dynamic ◽  
Arch Dams ◽  
Time Control

Main factors of the temperature control and crack prevention in arch dams are summarized. The Space-time Dynamic Control method in pipe cooling process and the Temperature Real-time Control and Decision Database System are introduced to help for temperature real-time control and rapid analysis. Successful application of these new techniques in the construction of Dagangshan arch dam indicates that the proposed method are of significant effectiveness on the temperature control and crack prevention, and have good application prospect in practical project.

VoDKA: Developing a Video-on-Demand Server using Distributed Functional Programming

2005 ◽  
Vol 15 (3) ◽  
pp. 403-430 ◽  
Author(s):  
VICTOR M. GULIAS ◽  
MIGUEL BARREIRO ◽  
JOSE L. FREIRE
Keyword(s):  
Real World ◽  
Functional Programming ◽  
Building Blocks ◽  
Video On Demand ◽  
Functional Language ◽  
Control Software ◽  
On Demand ◽  
System Requirements ◽  
Cable Company ◽  
Process Composition

In this paper, we present some experience of using the concurrent functional language Erlang to implement a distributed video-on-demand server. For performance reasons, the server is deployed in a cheap cluster made from off-the-shelf components. The demanding system requirements, in addition to the complex and ever-changing domain, suggested a highly flexible and scalable architecture as well as a quite sophisticated control software. Functional programming played a key role in the development, allowing us to identify functional abstractions throughout the system. Using these building blocks, large configurations can be defined using functional and process composition, reducing the effort spent on adapting the system to the frequent changes in requirements. The server evolved from a prototype that was the result of a project supported by a regional cable company, and it is currently being used to provide services for real-world users. Despite our initial concerns, efficiency has not been a major issue.

On-Demand Control System for Deep Brain Stimulation for Treatment of Intention Tremor

2012 ◽  
Vol 16 (3) ◽  
pp. 230-235 ◽  
Author(s):  
Takamitsu Yamamoto ◽  
Yoichi Katayama ◽  
Junichi Ushiba ◽  
Hiroko Yoshino ◽  
Toshiki Obuchi ◽  
...  
Keyword(s):  
Control System ◽  
Deep Brain Stimulation ◽  
Brain Stimulation ◽  
Intention Tremor ◽  
On Demand ◽  
Demand Control ◽  
Deep Brain

scholarly journals Who May Benefit From On-Demand Control of Deep Brain Stimulation? Noninvasive Evaluation of Parkinson Patients

2018 ◽  
Vol 21 (6) ◽  
pp. 611-616 ◽  
Author(s):  
Daniel Graupe ◽  
Nivedita Khobragade ◽  
Daniela Tuninetti ◽  
Ishita Basu ◽  
Konstantin V. Slavin ◽  
...  
Keyword(s):  
Deep Brain Stimulation ◽  
Brain Stimulation ◽  
Noninvasive Evaluation ◽  
On Demand ◽  
Demand Control ◽  
Deep Brain

scholarly journals The Dynamic Control of the Light Signalling Device in Real-Time

2019 ◽  
Vol 292 ◽  
pp. 03014
Author(s):  
Jan Mrazek ◽  
Lucia Duricova Mrazkova ◽  
Martin Hromada ◽  
Jana Reznickova
Keyword(s):  
Real Time ◽  
Traffic Control ◽  
Dynamic Control ◽  
Traffic Density ◽  
Light Signaling ◽  
Dynamic Traffic ◽  
Real Time Control ◽  
Real Time Traffic ◽  
Time Control ◽  
Control Dynamic

The article is focused on the issue of interval on a light signaling device. Light signaling devices operate on different systems by means of which they are controlled. The control problem is a very static setting that does not respond to real-time traffic. Important variables for dynamic real-time control are traffic density in a selected area along with average speed. These variables are interdependent and can be based on dynamic traffic control. Dynamic traffic control ensures smoother traffic through major turns. At the same time, the number of harmful CO2 emitted from the means of transport should be reduced to the air. When used in low operation, power consumption should be reduced.

The on-demand engineering of metal-doped porous carbon nanofibers as efficient bifunctional oxygen catalysts for high-performance flexible Zn–air batteries

2020 ◽  
Vol 8 (15) ◽  
pp. 7297-7308 ◽  
Author(s):  
Khang Ngoc Dinh ◽  
Zengxia Pei ◽  
Ziwen Yuan ◽  
Van Chinh Hoang ◽  
Li Wei ◽  
...  
Keyword(s):  
Carbon Nanofibers ◽  
High Performance ◽  
Carbon Nanofiber ◽  
Porous Structures ◽  
On Demand ◽  
Dual Functional ◽  
Mechanical Deformations ◽  
Metal Doped ◽  
Demand Control ◽  
Zinc Air Batteries

A dual-functional metal template achieves on-demand control of metal–N–C sites, porous structures, and surface wettability in a carbon nanofiber catalyst, enabling flexible zinc–air batteries with outstanding performance under various mechanical deformations.

Underoil superhydrophilic surfaces: water adsorption in metal–organic frameworks

2018 ◽  
Vol 6 (4) ◽  
pp. 1692-1699 ◽  
Author(s):  
Mingming Liu ◽  
Lu Tie ◽  
Jing Li ◽  
Yuanyuan Hou ◽  
Zhiguang Guo
Keyword(s):  
Crude Oil ◽  
Water Adsorption ◽  
Metal Organic Frameworks ◽  
Building Blocks ◽  
Water Filtration ◽  
On Demand ◽  
Emulsion Separation ◽  
Metal Organic ◽  
Self Cleaning ◽  
Superhydrophilic Surfaces

Inspired by sarcocarps, metal–organic frameworks (MOFs) that can capture moisture spontaneously are presented as building blocks for the construction of underoil superhydrophilic surfaces. The MOF coating showed excellent self-cleaning properties to crude oil under water, and achieved on-demand emulsion separation through selective water filtration and adsorption.

Dynamic Control of Curve-Constrained Hyper-Redundant Manipulators

2004 ◽  
Vol 16 (1) ◽  
pp. 1-7 ◽  
Author(s):  
Shugen Ma ◽  
◽  
Mitsuru Watanabe ◽  
Keyword(s):  
Degrees Of Freedom ◽  
Dynamic Control ◽  
Redundant Manipulators ◽  
Redundant Manipulator ◽  
Real Time Control ◽  
Feed Forward ◽  
Manipulator Dynamics ◽  
Time Control ◽  
Control Scheme ◽  
Feed Forward Controller

Hyper-redundant manipulators have high number of kinematic degrees of freedom, and possess unconventional features such as the ability to enter narrow spaces while avoiding obstacles. To control these hyper-redundant manipulators accurately, manipulator dynamics should be considered. This is, however, time-comsuming and makes implementation of real-time control difficult. In this paper, we propose a dynamic control scheme for hyper-redundant manipulators, which is based on analysis in defined posture space where three parameters were used to determine the manipulator posture. Manipulator dynamics are modeled on the parameterized form with the parameter of the posture space path. The posture space path-tracking feed-forward controller is then formulated on the basis of a parameterized dynamic equation. Computer simulation, in which a hyper-redundant manipulator traces the posture space path well by using the proposed feed-forward controller, proved that the hyper-redundant manipulator tracks the workspace path accurately.

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