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Embedding system State space ..

AB - To realize a user-friendly interface where a human and a computer can engage in face-to-face communication, the computer must be able to recognize the emotional state of the human by facial expressions, then synthesize and display a reasonable facial image in response. To describe this analysis and synthesis of facial expressions easily, the computer itself should have some kind of emotion model. By using a five-layered neural network which has generalization and superior nonlinear mapping performance, identity mapping training was performed using parameterized facial expressions. With respect to the space built in the middle layer of the five-layered neural network as an emotion model, emotion space was constructed. Based on this emotion space an attempt was made to build a system which can realize mappings from an expression to an emotion and from an emotion to an expression simultaneously. Moreover, to recognize a facial expression from the actual facial image of a human, the method of extracting the facial parameter from the facial points movement, is investigated.

The stability of a system may also be found from the state-space representation

At IBC 2016, Evertz, Ross Video, and Solid State Logic have announced their participation in the launch of YouTube Space London. YouTube Space London opened their 20,000 sq. ft state-of-the-art facility in August 2016 for collaboration, learning and production for their YouTube creator community in London and Europe. The IP-based production facility uses 10GbE to move uncompressed video, audio, and metadata (using SMPTE RDD 37) between its three studios and two control rooms. The IP infrastructure provides YouTube Space London with complete flexibility and agility where any source is available anywhere.

Component system identification and state-space …

This novel synthesis method opens the door to the synthesis of large control specifications generated from hardware description languages.

A unique design incorporating a proprietary digital current regulator and a stateof-the-art controller allows the 2400 to operate any AC induction, AC synchronous, or brushless DC motor without the current-loop setup required by conventional drives. Digital space vector control can be selected for reduced motor noise and low current ripple.

During physical exercise, our cardiovascular systems increase the delivery of blood and oxygen to working muscles as the metabolic demand increases, resulting in an increase of HR and oxygen consumption. Dynamic models that describe the responses of HR and oxygen consumption to exercise are therefore important for us to understand how our cardiovascular systems behave during exercises. However, a major challenge in modelling physiological systems, including the HR and oxygen consumption responses to exercise, is that they all exhibit some degree of nonlinear dynamic behaviours. To overcome this, we have derived nonlinear dynamic models to describe the kinetics of these variables in response to exercise, in particular treadmill exercise, using Hammerstein systems and nonlinear State-space systems. Our models are able to capture the macro underlying nonlinearities of the physiological behaviours, yet they are simple enough to be applied in practice, for example, in controlling and regulating these variables, since general physiological models, such as Gordins model, are often considered to be too complicated for practical use.

Introduction to Space Systems: Design and Synthesis

T1 - Expression analysis/synthesis system based on emotion space constructed by multilayered neural network

This paper presents a new timing analysis algorithm for efficient state space exploration during the synthesis of timed circuits or the verification of timed systems.

N2 - To realize a user-friendly interface where a human and a computer can engage in face-to-face communication, the computer must be able to recognize the emotional state of the human by facial expressions, then synthesize and display a reasonable facial image in response. To describe this analysis and synthesis of facial expressions easily, the computer itself should have some kind of emotion model. By using a five-layered neural network which has generalization and superior nonlinear mapping performance, identity mapping training was performed using parameterized facial expressions. With respect to the space built in the middle layer of the five-layered neural network as an emotion model, emotion space was constructed. Based on this emotion space an attempt was made to build a system which can realize mappings from an expression to an emotion and from an emotion to an expression simultaneously. Moreover, to recognize a facial expression from the actual facial image of a human, the method of extracting the facial parameter from the facial points movement, is investigated.

The source of the computational complexity in the synthesis or verification of a timed system is in finding the reachable timed state space.
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Gene expression systems in Drosophila: a synthesis of …

The subsystem state-space models are transformed into a coupling form, at which kinematic constraints and equilibrium conditions for the interfaces are introduced.

Gene expression systems in Drosophila: a synthesis of time and space

Different approaches and methods to aid the model order determination and the estimation of physically consistent state-space models at subsystem level are discussed.

Gene expression systems in Drosophila: a synthesis of time and space.

If the synthesis algorithm is given an incomplete state space, it cannot be guaranteed to generate logic that correctly responds to all inputs to the circuit.

Representation discovery re-parameterizes the state space ..

In order for existing algorithms to perform correct logic synthesis of timed asynchronous circuits, the entire reachable state space must be found =-=[28]-=-.

Glossary | Linus Pauling Institute | Oregon State University

Different approaches and methods to aid the model order determination and the estimation of physically consistent state-space models at subsystem level are discussed.">

Nanocomposites: synthesis, structure, properties and …

For many years, clinicians at virtually all levels of clinical care have been relying on measurements of blood pressure (BP) and heart rate (HR) for assessing cardiovascular function, despite their notable failure to provide an early sign for a number of potentially life-threatening conditions such as haemorrhage and heart diseases. To circumvent the limitations in the conventional way of diagnosis, which often fails to provide a full picture of the complex cardiovascular system, our laboratory has been researching on a novel multivariate approach of diagnosis that is based on not only BP and HR but also a number of parameters (such as heart rate variability (HRV)) extracted from non-invasive electrocardiogram (ECG) and peripheral volume pulse (PPG) waveforms, and the application of state space modelling and statistical classification techniques. The overall objective is to develop integrated hardware and software system to achieve early diagnosis of critical illness using simple non-invasive physiological measurements.

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