• JSTS:Journal of Semiconductor Technology and Science
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• v.11 no.3
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• pp.198-206
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• 2011

This paper presents a new programmable compensation circuit (PCC) for a System-on-Chip (SoC). The PCC is integrated with $0.18-{\mu}m$ BiCMOS SiGe technology. It consists of RF Design-for-Testability (DFT) circuit, Resistor Array Bank (RAB) and digital signal processor (DSP). To verify performance of the PCC we built a 5-GHz low noise amplifier (LNA) with an on-chip RAB using the same technology. Proposed circuit helps it to provide DC output voltages, hence, making the RF system chain automatic. It automatically adjusts performance of an LNA with the processor in the SoC when it goes out of the normal range of operation. The PCC also compensates abnormal operation due to the unusual PVT (Process, Voltage and Thermal) variations in RF circuits.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.58 no.10
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• pp.2059-2063
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• 2009

This paper presents a programmable System-On-a-chip (SoC) for various embedded smart applications that need Neural Network computations. The system is fully implemented into a prototyping platform based on Field Programmable Gate Array (FPGA). The SoC consists of an embedded processor core and a reconfigurable hardware accelerator for neural computations. The performance of the SoC is evaluated using a real image processing application, an optical character recognition (OCR) system.

• Journal of Korea Multimedia Society
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• v.17 no.3
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• pp.324-332
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• 2014

This paper presents a programmable System-On-a-chip for various embedded applications that need Neural Network computations. The system is fully implemented into Field-Programmable Gate Array (FPGA) based prototyping platform. The SoC consists of an embedded processor core and a reconfigurable hardware accelerator for neural computations. The performance of the SoC is evaluated using real image processing applications, such as optical character recognition (OCR) system.

• Journal of Information Processing Systems
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• v.3 no.1
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• pp.16-20
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• 2007

This paper describes the development of the sensor interface and driver program for a point of care (POC) device. The proposed pac device comprises an ARM9 embedded processor and eight-channel sensor input to measure various bio-signals. It features a user-friendly interface using a full-color TFT-LCD and touch-screen, and a bluetooth wireless communication module. The proposed device is based on the system on a programmable chip (SOPC). We use Altera's Excalibur device, which has an ARM9 and FPGA area on a chip, as a test bed for the development of interface hardware and driver software.

• International Journal of Control, Automation, and Systems
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• v.4 no.5
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• pp.567-574
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• 2006

This paper presents the hardware implementation of a neural network controller for a nonlinear system with a micro-controller unit (MCU) and a field programmable gate array (FPGA) chip. As an on-line learning algorithm of a neural network, the reference compensation technique has been implemented on an MCU, while PID controllers with other functions such as counters and PWM generators are implemented on an FPGA chip. Interface between an MCU and a field programmable gate array (FPGA) chip has been developed to complete hardware implementation of a neural controller. The developed neural control hardware has been tested for balancing the inverted pendulum while controlling a desired trajectory of a cart as a nonlinear system.

• Journal of KIISE:Computer Systems and Theory
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• v.35 no.6
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• pp.284-292
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• 2008

The density of Memory has been increased by great challenge for memory technology; therefore, elements of memory become more smaller than before and the sensitivity to faults increases. As a result of these changes, memory testing becomes more complex. In addition, as the number of storage elements per chip increases, the test cost becomes more remarkable as the cost per transistor drops. Recent development in system-on-chip(SoC) technology makes it possible to incorporate large embedded memories into a chip. However, it also complicates the test process, since usually the embedded memories cannot be controlled from the external environment. We present a ARM processor-programmable built-in self-test(BIST) scheme suitable for embedded memory testing in the SoC environment. The proposed BIST circuit can be programmed vis an on-chip microprocessor.

• The Transactions of the Korean Institute of Electrical Engineers P
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• v.61 no.1
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• pp.47-54
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• 2012

This paper presents implementation of SVPWM technique for three phase Voltage Source Inverter using FPGA. Software-based vector-control calculations much this drawback, in order to improve the hardware-vector-control tries. Without the need for additional software, vector control algorithm is designed to be modular SOPC, and DSP will reduce most of the operations. In this paper, the SVPWM that using HDL for the AC motor vector control algorithm level, and the dead time part and the speed control in order to controled a speed detector and designed in the form of modules. Then ALTERA corporation Cyclone III series EP3C16F484 can be verified by implemented.

• Journal of Sensor Science and Technology
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• v.20 no.3
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• pp.162-167
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• 2011

In this paper, we propose a vision system using a field programmable gate array(FPGA) and a smart vision chip. The output of the vision chip is varied by illumination conditions. This chip is suitable as a surveillance system in a dynamic environment. However, because the output swing of a smart vision chip is too small to definitely confirm the warning signal with the FPGA, a modification was needed for a reliable signal. The proposed system is based on a transmission control protocol/internet protocol(TCP/IP) that enables monitoring from a remote place. The warning signal indicates that some objects are too near.

• 제어로봇시스템학회:학술대회논문집
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• 2003.10a
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• pp.360-365
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• 2003

In this paper, we have developed a general purpose motion controller using an FPGA(Field Programmable Gate Array). The multi-PID controllers on a single chip are implemented as a system-on-chip for multi-axis motion control. We also develop a PC GUI for an efficient interface control. Comparing with the commercial motion controller LM 629 it has multi-independent PID controllers so that it has several advantages such as space effectiveness, low cost and lower power consumption. In order to test the performance of the proposed controller, robot finger is controlled. The robot finger has three fingers with 2 joints each. Finger movements show that position tracking was very effective. Another experiment of balancing an inverted pendulum on a cart has been conducted to show the generality of the proposed FPGA PID controller. The controller has well maintained the balance of the pendulum.

• Proceedings of the IEEK Conference
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• 2006.06a
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• pp.747-748
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• 2006

In this paper, we describe photonic sensor interface and driver program based on SOPC(System on a programmable chip) platform. This platform uses device that has ARM922T processor and APEX FPGA area on a chip. As for driver program development, three different methods are tried such as simple firmware, real-time OS based program and embedded Linux based program, and results are compared for SoC implementation.