• Journal of the Institute of Convergence Signal Processing
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• v.11 no.4
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• pp.263-269
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• 2010

This paper describes real-time detection and tracking of moving objects for unmanned visual surveillance. Using images obtained from the fixed camera it detects moving objects within the image and tracks them with displaying rectangle boxes enclosing the objects. Tracking method is implemented on an embedded system which consists of TI DSK645.5 kit and the FPGA board connected on the DSP kit. The DSP kit processes image processing algorithms for detection and tracking of moving objects. The FPGA board designed for image acquisition and display reads the image line-by-line and sends the image data to DSP processor, and also sends the processed data to VGA monitor by DMA data transfer. Experimental results show that the tracking of moving objects is working satisfactorily. The tracking speed is 30 frames/sec with 320x240 image resolution.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2009.10a
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• pp.530-533
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• 2009

This paper proposes a method of recognizing that a person doesn't put on a safety cap using image processing method in DSP(Digital Signal Processor). It processes inputted images by image input devices that equipped in a industrial settings. If the method recognizes a person that doesn't put on a safety cap, a system transfers relevant recognition result to a supervisor and takes proper measures. If an accident happens and someone doesn't put on a safety cap, additional casualities could be. Proposed method can nip additional casualties in the bud. To recognize that a person don't put on a safety cap, images are processed by object abstraction, removal of noise, decision of a thing or a person, abstraction of a head part in a image, recognizing whether a man puts on a safety cap using HSV color space or not, and so on. Image input and image process are processed by DSP. And C language-based codes are optimized by an eignefunction(Intrinsics) for speed improvement of algorithms.

• Journal of Animal Science and Technology
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• v.51 no.5
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• pp.395-406
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• 2009

Fifty four Hanwoo steers in final fattening period were assigned to 3 groups control, top dressed $PROSOL^{(R)}$ as an emulsifier (TP) and DSP group (experimental diet made to down spec of nutrients with $PROSOL^{(R)}$, which is sodium stearoyl-2-lactylate), based on the body weight (647.96${\pm}$41.31 kg) and months of age (27.3${\pm}$0.8 mo), and the experiment was conducted to establish the reasonable fattening method of Hanwoo steers for 91 days. Average daily body gains during trial were 0.94, 0.84 and 0.98 kg in control, TP and DSP, respectively (P=0.011). DDMI/ADG of TP group tend to lightly improving compared to control and DSP group (P=0.692). There was no effect of supplementation of the $PROSOL^{(R)}$ in concentrates on growth rate, feed efficiency and shrinkage in Hanwoo steers during the short final fattening period. MQI from TP and DSP was not different based on the rib-eye area and carcass weight in carcass than that from control. Back fat thickness tended to be thicker than control (P>0.05). Marbling score, texture and maturity for TP and DSP was abundantly to increase compared to control (P<0.003). There was significantly increment in supplemented $PROSOL^{(R)}$ (P<0.0001). The meat quality grade of control, TP and DSP were 2.94, 3.78 and 4.50, respectively. Related to this result, the auction price (carcass/kg) were gained significantly (P<0.003) from control (17,560), TP (18,586) and DSP (19,266 won) so which the monetary return was the highest in DSP and the differences was recognized between TP and DSP. Percentage over 1st grade appeared in control, TP and DSP were 55.4, 88.9 and 100.0%, respectively. These results supported the hypothesis that supplementation of emulsifier improve the marbling score and the carcass quality grade by increased digestibilities of the feed fat in Hanwoo steers in fattening period.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.8 no.10
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• pp.3475-3489
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• 2014

Here we present a simple flame detection method for an infrared (IR) thermal camera based real-time fire surveillance digital signal processor (DSP) system. Infrared thermal cameras are especially advantageous for unattended fire surveillance. All-weather monitoring is possible, regardless of illumination and climate conditions, and the data quantity to be processed is one-third that of color videos. Conventional IR camera-based fire detection methods used mainly pixel-based temporal correlation functions. In the temporal correlation function-based methods, temporal changes in pixel intensity generated by the irregular motion and spreading of the flame pixels are measured using correlation functions. The correlation values of non-flame regions are uniform, but the flame regions have irregular temporal correlation values. To satisfy the requirement of early detection, all fire detection techniques should be practically applied within a very short period of time. The conventional pixel-based correlation function is computationally intensive. In this paper, we propose an IR camera-based simple flame detection algorithm optimized with a compact embedded DSP system to achieve early detection. To reduce the computational load, block-based calculations are used to select the candidate flame region and measure the temporal motion of flames. These functions are used together to obtain the early flame detection algorithm. The proposed simple algorithm was tested to verify the required function and performance in real-time using IR test videos and a real-time DSP system. The findings indicated that the system detected the flames within 5 to 20 seconds, and had a correct flame detection ratio of 100% with an acceptable false detection ratio in video sequence level.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2012.05a
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• pp.51-52
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• 2012

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.23 no.1
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• pp.59-68
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• 2009

Fuel cell generators as the distributed generation system with a few hundred watt$\sim$a few hundred kilowatt capacity, can supply the high quality electric power to user as compared with conventional large scale power plants. In this paper, PEMFC(polymer electrolyte membrane fuel cell) generator as micro-source is modelled by using PSIM simulation software and DSP based fuel cell hardware simulator based on the PSIM simulation model is implemented. The relation of fuel cell voltage and current(V-I curve) is linearized by first order function on the ohmic area in voltage-current curve of fuel cell. The implemented system is composed of a PEMFC hardware simulator, an isolated full bridge dc boost converter, and a 60[Hz] voltage source PWM inverter. The voltage-current-power(V-I-P) characteristics of the implemented fuel cell hardware simulator are verified in load variation and transient state and the 60[Hz] output voltage sinusoidal waveform of the PWM inverter is investigated under the resistance load and nonlinear diode load.

• The Transactions of the Korean Institute of Power Electronics
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• v.4 no.1
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• pp.50-56
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• 1999

This paper presents consideration on validity of instantaneous correlation power theory. The proposed power theory is defined and analyzed by time domain approach, thus it is easy to understand and instrument. The power is decomposed into active, fundamental reactive and harmonics components based on the autocorrelation and crosscorrelation signal techniques between voltage and current waveforms. On the compensation property, active power filter deal with three components only. Also, for real time control of active power filter, the power models with difficult concept are not cost effective. To verify the validity of the instantaneous correlation power theory, experimental work for voltage type DSP based active power filter is achieved. The power of thyristor controlled motor drives is decomposed into three orthogonal components by proposed power theory. From compensation results, validity of proposed theory is confirmed. feedback controller needs the information on some motor parameters. New recursive adaptation algorithms for rotor resistance and mutual inductance which can be applied to our nonlinear feedback controller are also presented in this paper. The recursive adaptation algorithms make the estimated values of rotor resistance and mutual inductance track their real values. Some simulation and experimental results show that the adaptation algorithms are robust against the variation of stator resistance and stator inductance.

• Journal of Internet Computing and Services
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• v.14 no.4
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• pp.85-90
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• 2013

Currently, the electric fire prediction system uses PIC(Peripheral Interface Controller) for controller microprocessor. PIC has a slower computing speed than DSP does, so its real-time computing ability is inadequate. So with the basic characteristics waveform during arc generation as the standard reference, the comparison to this reference is used to predict and alarm electric fire from arc. While such alarm can be detected and taken care of from a remote central server, that prediction error rate is high and remote control in mobile environment is not available. In this article, the arc detection of time domain and frequency domain and wavelet-based adaptation algorithm executing the adaptation algorithm in conversion domain were applied to develop an electric fire prediction system loaded with new real-time arc detection algorithm using DSP. Also, remote control was made available through iPhone environment-based app development which enabled remote monitoring for arc's electric signal and power quality, and its utility was verified.

• 제어로봇시스템학회:학술대회논문집
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• 2003.10a
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• pp.575-580
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• 2003

In this paper, we develop a control hardware such as an FPGA based general purpose controller with a DSP board to solve nonlinear control problems. PID control algorithms are implemented in an FPGA and neural network control algorithms are implemented in a DSP board. PID controllers implemented on an FPGA was designed by using VHDL to achieve high performance and flexibility. By using high capacity of an FPGA, the additional hardware such as an encoder counter and a PWM generator, can be implemented in a single FPGA device. As a result, the noise and power dissipation problems can be minimized and the cost effectiveness can be achieved. In order to show the performance of the developed controller, it was tested for controlling nonlinear systems such as an inverted pendulum.

• 한국HCI학회:학술대회논문집
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• 2008.02a
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• pp.654-658
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• 2008

은행에서 현금 지급기(ATM)를 부정한 목적으로 사용하는 사람들은 보통 마스크나 선글라스, 모자 같은 것으로 얼굴을 은폐하고 인출을 하는 경우가 많다. 그렇기 때문에 마스크나 선글라스, 모자로 얼굴을 가림으로써 특징을 검출하기 쉽지 않아 얼굴 인식을 통한 사람 판단이 어렵다. 본 논문에서는 차 영상과 Template Matching 을 통해 얼굴 영역을 추출하고 Adaptive Boost 를 통해 얼굴의 특징 점을 검출한 후 스킨 컬러 정보를 이용하여 현재 사람의 은폐 정보를 추정하는 방법을 제안한다. 제안된 방영은 영상신호처리에 강하고 비용이 적으며 적은 전력으로 동작하는 DSP 기반에 탑재 함으로써 ATM 기에 탑재하기 적합하고 또한 다른 형태의 검증 시스템에 적용할 수 있는 효율적인 구조를 제시한다.