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REFERENCE LINKING PLATFORM OF KOREA S&T JOURNALS
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IEMEK Journal of Embedded Systems and Applications
Journal Basic Information
Journal DOI :
Institute of Embedded Engineering of Korea
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Volume & Issues
Volume 6, Issue 6 - Dec 2011
Volume 6, Issue 5 - Oct 2011
Volume 6, Issue 4 - Aug 2011
Volume 6, Issue 3 - Jun 2011
Volume 6, Issue 2 - Apr 2011
Volume 6, Issue 1 - Feb 2011
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Performane Modeling of Flash Memory Storage Systems Using Simulink
Min, Hang Jun ; Park, Jeong Su ; Lee, Joo Il ; Min, Sang Lyul ; Kim, Kanghee ;
IEMEK Journal of Embedded Systems and Applications, volume 6, issue 5, 2011, Pages 263~272
The complexity of flash memory based storage systems is high due to diverse host interfaces and other design choices such as mapping granularity, flash memory controller execution models and so on. Thus, it is possible that the actual performance after implementation is not consistent with the target performance. This paper demonstrates that the performance prediction of flash memory based storage systems is possible through performance modeling that takes into account various design parameters. In the performance modeling, the FTL, which is the core element of flash memory based storage systems, is modeled as a set of (copy-on-write) logs and their interactions. Also, the flash memory controller is modeled based on the classification proposed in the design of the Ozone flash controller. In this study, the performance model has been implemented using Simulink and experimental results are presented and analyzed.
The Structural Reinforcement Design of Firefighter Assistance Robots for Improving the Impact Resistance
Shin, Dong-Hwan ; Kim, Yoon-Gu ; An, Jinung ;
IEMEK Journal of Embedded Systems and Applications, volume 6, issue 5, 2011, Pages 273~280
In this paper, we describe the structural reinforcement approach of the throwing-type firefighter assistance robot which can be thrown into a fire site to monitor inside the place and search trapped people while ensuring a firefighter's safety. The reinforcement design is focused on high strength with low weight for the robot. The in-depth structural analysis of the platform is carried out to track down the weakest part, especially with the 1.8m height of drop test. The analysis is verified by comparing with the 1.8m height of the drop test of the throwing-type firefighter assistance robot. The optimal approach for improving the strength of the weakest part aims at topological equivalent and equivalently stress distributed shape.
Short Range Rear Obstacle Detector for Automobile Using 24GHz AM Radar Sensor
Kim, Young Su ; Choi, Yun Ho ; Han, Soo Deog ; Bien, Franklin ;
IEMEK Journal of Embedded Systems and Applications, volume 6, issue 5, 2011, Pages 281~286
FMCW Radar sensor is commonly used for an automobile collision avoidance system for rider's safe. Systems using FMCW radar, however, would be one of expensive solutions for just simple rear obstacle detection purpose due to its high cost. In this letter, a short range rear obstacle detector using novel 24GHz AM radar sensor is presented. It can be implemented at significantly lower cost than FMCW radar for practical commercialization. The proposed AM radar sensor module is fabricated in a single aluminum housing to reduce the overall size while using single power supply voltage of 12V with 1200mA current for automotive applications. The measured detection range is up to 210cm with 10cm of distance resolution, which is suitable for a parking assistance system for automobiles.
ePRO-OMP: A Tool for Performance/Energy PRofiler and Analyzer for OpenMP Applications
Lee, Young-Ho ; Kim, Jihong ;
IEMEK Journal of Embedded Systems and Applications, volume 6, issue 5, 2011, Pages 287~293
As chip multiprocessors have been widely adopted in embedded systems, achieving both high performance and low power consumptions of parallel applications becomes challenging. In order to meet these requirements, it is crucial for developers to analyze the performance and energy consumption of parallel applications. In this paper, we propose a tool for profiling and optimizing the performance and energy consumption of OpenMP applications (energy PROfiler and analyzer for OpenMP: ePRO-OMP). The main advantage of ePRO-OMP is that it can analyze both the performance and energy consumption of each parallel region of an OpenMP application, which can help developers find the bottleneck of parallel applications in detail.
A Study of Face Feature Tracking and Moving Measure Devices
Lee, Jeong-Hee ; Lee, Young-Hee ; Cha, Eui-Young ;
IEMEK Journal of Embedded Systems and Applications, volume 6, issue 5, 2011, Pages 295~302
This paper proposes facial feature tracking based on modified ART2 neural networks. And we also suggest new measurement devices such as 'Persistence Exponent' and 'Moving Space Exponent' for the criterion of input vector which consists features. The proposed methods have been applied to classify 48 students by 2-class (ADHD positive, ADHD negative). The results of the experiment have shown that the proposed methods are effective for ADHD Behavior Pattern Classification based on the Image Processing.
Intelligent Force Control Ap plication of an Autonomous Helicopter System
Eom, Il Yong ; Jung, Seul ;
IEMEK Journal of Embedded Systems and Applications, volume 6, issue 5, 2011, Pages 303~309
In this paper, an intelligent force control technique is applied to an autonomous helicopter. Although most research on the autonomous helicopter system is about navigation and control, force control of an autonomous helicopter system is quite new and not presented yet. After controlling the position of the helicopter by the LQR method, force control is applied. The adaptive impedance force control algorithm is introduced and tested to regulate the desired force under unknown location and stiffness of the environment. To compensate for uncertainty from outer disturbance, a neural network is added to form an intelligent force control framework. Simulation studies show that the proposed force control algorithm works well.
Night-Time Blind Spot Vehicle Detection Using Visual Property of Head-Lamp
Joung, Jung-Eun ; Kim, Hyun-Koo ; Park, Ju-Hyun ; Jung, Ho-Youl ;
IEMEK Journal of Embedded Systems and Applications, volume 6, issue 5, 2011, Pages 311~317
The blind spot is an area where drivers visibility does not reach. When drivers change a lane to adjacent lane, they need to give an attention because of the blind spot. If drivers try to change lane without notice of vehicle approaching in the blind spot, it causes a reason to have a car accident. This paper proposes a night-time blind spot vehicle detection using cameras. At nighttime, head-lights are used as characteristics to detect vehicles. Candidates of headlight are selected by high luminance feature and then shape filter and kalman filter are employed to remove other noisy blobs having similar luminance to head-lights. In addition, vehicle position is estimated from detected head-light, using virtual center line represented by approximated the first order linear equation. Experiments show that proposed method has relatively high detection porformance in clear weather independent to the road types, but has not sufficient performance in rainy weather because of various ground reflectors.
Development Based on Signal Processing Platform for Automotive UWB Radar System
Ju, Yeonghwan ; Kim, Sang-Dong ; Lee, Jong-Hun ;
IEMEK Journal of Embedded Systems and Applications, volume 6, issue 5, 2011, Pages 319~325
Recently, collision avoidance systems are under development to reduce the traffic accidents and driver comfort for automotive radar. Pulse radar can detect their range and velocities of moving vehicles using range gate and FFT(Fast Fourier Transform) of the doppler frequency. We designed the real time DSP(Digital Signal Processing) based automotive UWB(Ultra Wideband) radar, and implemented DSP to detect the range and velocity within 100ms for real time system of the automotive UWB radar. We also measured the range and velocity of a moving vehicle using designed automotive UWB radar in a real road environment.
Design of Ultrasonic Sensor Based Obstacle Recognition Mobile Robot
Moon, Inseok ; Hong, Won-Kee ; Ryu, Juang-Tak ;
IEMEK Journal of Embedded Systems and Applications, volume 6, issue 5, 2011, Pages 327~333
Intelligent robots are widely needed in various areas of industry from extremely dangerous environments to service tasks. For autonomous mobile robots, it is significant to move itself safely to a destination point, recognizing its surroundings. Advances in sensor technology and its applications are achieved in order to develop an intelligent robot. In this paper, a mobile robot with a path-finding algorithm is presented. The path-finding algorithm is the one that does not only find a path to designated destination and also recognizes obstacles on the way, calculating its distance. 10 ultrasonic sensor are mounted on the front and rear of the mobile robot to figure out its position. Specular reflection and wide viewing angle, which are inherent characteristics of ultrasonic waves, cause errors in measuring distance.