Design of system-level hot standby redundancy-based signal system

Microprocessors and sensor technology together achieved a fully automatic washing machine based on fuzzy control. System used an integrated mixed-signal system-level C8051F020 microcontroller. The system would detect and reasoning on the amount of washing objects, fabricl quality, water level, reference washing time, the flow intensity, real-time temperature and dirt level of washing liquid, so as to achieve automatically complete the whole washing process. Experiments shows that the system is stable, easy to operate, cost-effective advanced features, so that it has a certain value.

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MISSION LEVEL MODELING AND SIMULATION LANGUAGE FOR MIXED-SIGNAL SYSTEM-ON-CHIP DESIGN

Journal of Circuits System and Computers ◽

10.1142/s0218126607003435 ◽

2007 ◽

Vol 16 (01) ◽

pp. 15-28 ◽

Cited By ~ 1

Author(s):

BOJAN ANDJELKOVIĆ ◽

VANCO LITOVSKI ◽

VOLKER ZERBE

Keyword(s):

Uniform Design ◽

Environmental Parameters ◽

System On Chip ◽

System Level ◽

Signal System ◽

Mixed Signal ◽

Operational Conditions ◽

Mission System ◽

Implementation Level ◽

On Chip

Modern complex system design demands modeling on a high level of abstraction together with the system environment components. Such model enables mission level system simulation in the context of its operational conditions. Mission level design using hardware description language AleC++ is presented in this paper. It provides mission and system level verification of a mixed-signal system-on-chip. After validation at mission and system level, this language enables designers to replace some of the components with implementation level models to test and validate the system implementation at mission level. Also, the language provides modeling capabilities that give the designer an opportunity to analyze the influence of low-level technological and environmental parameters to the complete system behavior. In this way a uniform design framework is achieved from mission/system down to implementation level. The application of the language both for mission/system and implementation level modeling is illustrated by an example of the electronic compass.

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Mixed Signal System Level Cross Layer Adaptation for Variability and Workload: A Pilot Study

2011 IEEE 17th International Mixed-Signals, Sensors and Systems Test Workshop ◽

10.1109/ims3tw.2011.26 ◽

2011 ◽

Author(s):

Shreyas Sen ◽

Jayaram Natarajan ◽

Joshua W. Wells ◽

Abhijit Chatterjee

Keyword(s):

Pilot Study ◽

System Level ◽

Cross Layer ◽

Signal System ◽

Mixed Signal

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Simulation of Microfluidic Systems: A New Approach Considering Capillarity

10.1115/imece1999-0293 ◽

1999 ◽

Author(s):

Jörg Mellmann ◽

Michael Sesterhenn ◽

Markus Löhr ◽

Bernhard Stierle ◽

Tilo Strobelt ◽

...

Keyword(s):

Dynamic Behavior ◽

System Level ◽

Signal System ◽

Transition Elements ◽

Microfluidic Systems ◽

New Approach ◽

Mixed Signal ◽

Capillary Networks ◽

Lumped Models ◽

First Time

Abstract In this paper, a toolbox of lumped models for simulating (self-)priming and emptying of complex capillary networks is presented. Each model is a kind of an all-in-one-model, that considers inertia, friction, gravitation and capillarity and has been implemented on a conventional, commercially available, mixed-signal system-level simulator. The toolbox contains fundamental microfluidic components which are lines with micromachined geometries, fittings, tees, dispensers and media transition elements. With these all-in-one-models it is now possible for the first time to layout complex capillary networks by simulating not only the dynamic behavior of filled systems but even the priming and emptying.

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Synchronization Mechanism for Timed/Untimed Mixed-Signal System Level Design Environment

IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences ◽

10.1093/ietfec/e89-a.4.1018 ◽

2006 ◽

Vol E89-A (4) ◽

pp. 1018-1026 ◽

Cited By ~ 1

Author(s):

Y. LIU

Keyword(s):

System Level ◽

Signal System ◽

System Level Design ◽

Design Environment ◽

Mixed Signal ◽

Synchronization Mechanism ◽

Level Design

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Integrating Robust Technologies for Mixed-Signal System Level Test

2006 IEEE Symposium on Virtual Environments, Human-Computer Interfaces and Measurement Systems ◽

10.1109/vecims.2006.250798 ◽

2006 ◽

Author(s):

Andres Mellik

Keyword(s):

System Level ◽

Signal System ◽

Mixed Signal

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System-level modeling of a mixed-signal System on Chip for Wireless Sensor Networks

2011 Design, Automation & Test in Europe ◽

10.1109/date.2011.5763320 ◽

2011 ◽

Cited By ~ 1

Author(s):

G S Beserra ◽

J E G de Medeiros ◽

A M Sampaio ◽

J C da Costa

Keyword(s):

Wireless Sensor Networks ◽

Sensor Networks ◽

System On Chip ◽

System Level ◽

Wireless Sensor ◽

Signal System ◽

Mixed Signal ◽

System Level Modeling ◽

On Chip

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Opto-Electro-Mechanical Mixed-Signal System-Level Modeling of Micro Deformable Mirror

First International Conference on Integration and Commercialization of Micro and Nanosystems, Parts A and B ◽

10.1115/mnc2007-21188 ◽

2007 ◽

Author(s):

Yang He ◽

Chengyu Jiang ◽

Weizheng Yuan ◽

Binghe Ma ◽

Pengfei Huo

Keyword(s):

Behavioral Model ◽

Optical Signal ◽

System Level ◽

Deformable Mirror ◽

Signal System ◽

Mixed Signal ◽

Mechanical Coupling ◽

Mechanical Structure ◽

System Level Modeling ◽

Functional Components

This paper presents opto-electro-mechanical mixed-signal system-level modeling of micro deformable mirror, the core component of micro adaptive optics system. Micro deformable mirror element was decomposed into functional components and those components were connected to establish a network to represent the real device. Many mirror element models were put together to represent mirror arrays. Then simulations were implemented in just one emulator. The mirror element was decomposed into three kinds of functional components based on this method, i.e. mechanical structure component (beam and mass), electro-mechanical coupling component (electrostatic gap) and optics component (reflective mirror). The mechanical structure behavioral model, the electro-mechanical coupling behavioral model and optical behavioral model could be set up based on the theory of rigid body relative movement and matrix structural analysis, the law of energy conservation and the theory of ray optics and Gaussian beam, respectively. The models were coded in analog hardware description language and a system-level model of micro deformable mirror was established using these models. Electro-mechanical coupling simulations were implemented to find the resonance frequency, the response time and voltage-displacement relationship of the micro deformable mirror element. The frequency analysis results were compared with ANSYS simulations, and the result proved that the method has near FEM accuracy. Then optical phase modulation simulation of micro deformable mirror arrays was implemented to investigate the relationship between input optical signal and output optical signal when control voltage was applied. The simulation result indicated that the mixed-signal system-level simulation of micro deformable mirror could be accomplished rapidly in this way.

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