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Advances in VLSI technology make it possible to realize systems of very high complexity in a small volume of hardware using integration. In many application fields, it is necessary to implement certain algorithms, or even complete information processing systems, directly in silicon. Application domains which are likely to benefit are in the fields of signal processing and scientific computing.

In this paper, we consider several steps which we believe to be essential in the design path of a special purpose architecture, and we present methodologies for achieving design requirements. These solutions are based on experience gathered in the Parallel VLSI Architecture group of IRISA.

For the real-time hardware-in-the-loop simulation of railway rolling stock electric drive system, the equation of equivalent circuit state is the most conventional modeling method. But this method will take up too many resources of real-time simulation system or is not easy to extend to other projects and difficult to adjust the variables on line. By taking the inductor, resistor, capacitor and converter in the equivalent circuit of four-quadrant converter system as the basic components, and using the Kirchhoff laws of voltage and current to combine the basic components, this paper established a new simulation model software based on MATLAB and realized real-time calculation based on dSPACE platform. In order to verify the feasibility and effectiveness of this model software, this author had finished a series of tests onboard and got enough experimental data to make a comparison with the results of the model software real-time calculation.

We present a novel technique for transcribing crowds in video scenes that allows extracting the positions of moving objects in video frames. The technique can be used as a more precise alternative to image processing methods, such as background-removal or automated pedestrian detection based on feature extraction and classification. By manually projecting pedestrian actors on a two-dimensional plane and translating screen coordinates to absolute real-world positions using the cross ratio, we provide highly accurate and complete results at the cost of increased processing time. We are able to completely avoid most errors found in other automated annotation techniques, resulting from sources such as noise, occlusion, shadows, view angle or the density of pedestrians. It is further possible to process scenes that are difficult or impossible to transcribe by automated image processing methods, such as low-contrast or low-light environments. We validate our model by comparing it to the results of both background-removal and feature extraction and classification in a variety of scenes.

This paper presents structures and principles of a fast stockpile simulation engine that enhances automatic material process by providing accurate digital information of material quality distribution within stockpiles. Compared with traditional measurement-based approaches, our simulation technology reduces operation cost by eliminating frequent physical measuring; improves operation accuracy through all-time whole-area contour simulation (instead of measuring a few positions of material layers now and then); and speeds the process through fast simulation and instant response to quality information query. Based on simplified grain dynamics and cellular automata models, the technology can achieve real-time/super-real-time simulation, which is critical to be adopted by the industry. Application of the technology in analyzing mineral ores handling is also discussed.

A simple analytical real-time capable model to account for fuselage-induced velocities at rotor blade elements is described at the example of the Bo105 fuselage. Data of the fuselage-induced flow fields in the volume of rotor operation above the fuselage are first computed by a panel method in the range of angle of attack and sideslip of $\pm 90^{\circ }$. The model parameters are then estimated based on these data. The usefulness of the model in combinations of angle of attack and sideslip is demonstrated.

Advances in VLSI technology make it possible to realize systems of very high complexity in a small volume of hardware using integration. In many application fields, it is necessary to implement certain algorithms, or even complete information processing systems, directly in silicon. Application domains which are likely to benefit are in the fields of signal processing and scientific computing.

In this paper, we consider several steps which we believe to be essential in the design path of a special purpose architecture, and we present methodologies for achieving design requirements. These solutions are based on experience gathered in the Parallel VLSI Architecture group of IRISA.

In this paper the electric drive armored vehicle simulation system is build based on distributed simulation technology. The simulation system is set to three parts- week real-time part, strong real-time part and strict real-time part according to the difference of simulation step size. In weak real-time part, driver operation and vehicle dynamic real-time simulation is connected by CAN bus; In strong real-time part, engine, generator and battery are modeled and simulated by two sets of RT-LAB software, and connected by FlexRay bus; In strict real-time part, motor model and inverter model are simulated in FPGA and DSP hardware, and connected by parallel data bus.. The simulation results shows that this simulation system has a good performance at the simulation of vehicle capability, electric drive system and part capability, as well as the real-time demand is needed.

To validate the feasibility of control scheme for in-wheel motor driving armored vehicle, this paper gives a closed-loop system of in-wheel motor driving armored vehicle including driver, integrated controller, motor driving system and vehicle dynamics system. In-wheel motor driving armored vehicle controlling model is build based on yaw torque control theory, and the control code is downloaded into the real controller, the in-wheel motor is build by RT-LAB as well as the vehicle dynamics is build in Vortex, and the real-time simulation system with driver and integrated controller is build by these four parts. Vehicle dynamics performance with real driver input is simulated based on this simulation system. The simulation results show that: the real controller's algorithm and software code are verified and the vehicle mobility is analyzed and evaluated rapidly based on this simulation system.