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REFERENCE LINKING PLATFORM OF KOREA S&T JOURNALS
> Journal Vol & Issue
IEMEK Journal of Embedded Systems and Applications
Journal Basic Information
Journal DOI :
Institute of Embedded Engineering of Korea
Editor in Chief :
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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Bomb Impact Point Location Acquisition by Image Transformation using High-Resolution Commercial Camera
Park, Sang-Jae ; Ha, Seok-Wun ;
IEMEK Journal of Embedded Systems and Applications, volume 6, issue 1, 2011, Pages 1~7
In the bomb impact test, to acquire the bomb impact point location the high-priced embedded equipments such as the Bomb Scoring System or the EOTS are needed. Recently, a high-resolution image processing could be possible since the resolution of the commercial camera is growing rapidly. In this paper we first propose an image transformation method for acquiring the real bomb impact image using a high-resolution commercial camera, and then present the process calculating the real bomb impact point location coordinate from the transformed image. Based on the experimental results we found the possibilities that the real bomb impact point information could be effectively earned just using the commercial camera.
Vehicle Detection for Adaptive Head-Lamp Control of Night Vision System
Kim, Hyun-Koo ; Jung, Ho-Youl ; Park, Ju H. ;
IEMEK Journal of Embedded Systems and Applications, volume 6, issue 1, 2011, Pages 8~15
This paper presents an effective method for detecting vehicles in front of the camera-assisted car during nighttime driving. The proposed method detects vehicles based on detecting vehicle headlights and taillights using techniques of image segmentation and clustering. First, in order to effectively extract spotlight of interest, a pre-signal-processing process based on camera lens filter and labeling method is applied on road-scene images. Second, to spatial clustering vehicle of detecting lamps, a grouping process use light tracking method and locating vehicle lighting patterns. For simulation, we are implemented through Da-vinci 7437 DSP board with visible light mono-camera and tested it in urban and rural roads. Through the test, classification performances are above 89% of precision rate and 94% of recall rate evaluated on real-time environment.
An Automotive Radar Target Tracking System Design using
Filter and NNPDA Algorithm
Bae, JunHyung ; Hyun, EuGin ; Lee, Jong-Hun ;
IEMEK Journal of Embedded Systems and Applications, volume 6, issue 1, 2011, Pages 16~24
Automotive Radar Systems are currently under development for various applications to increase accuracy and reliability. The target tracking is most important in single or multiple target environments for accuracy. The tracking algorithm provides smoothed and predicted data for target position and velocity(Doppler). To this end, the fixed gain filter(
filter) and dynamic filter(Kalman filter, Singer-Kalman filter, etc) are commonly used. Gating is used to decide whether an observation is assigned to an existing track or new track. Gating algorithms are normally based on computing a statistical error distance between an observation and prediction. The data association takes the observation-to-track pairings that satisfied gating and determines which observation-to-track assignment will actually be made. For data association, NNPDA(Nearest Neighbor Probabilistic Data Association) algorithm is proposed. In this paper, we designed a target tracking system developed for an Automotive Radar System. We show the experimental results of the 77GHz FMCW radar sensor on the roads. Four tracking algorithms(
filter, 2nd order Kalman filter, Singer-Kalman filter) have been compared and analyzed to evaluate the performance in test scenario.
Energy and Safety Efficient LED Street-light Control System Based on Ubiquitous Sensor Network
Cho, Myeon-gyun ; Kim, Shik ; Yang, Woo Suk ;
IEMEK Journal of Embedded Systems and Applications, volume 6, issue 1, 2011, Pages 25~31
LEDs are becoming the most suitable candidate replacing traditional fluorescent street-light lamps because of its energy efficiency and high brightness. Furthermore, most countries are urging to pursue energy savings in conjunction with IT and sensor network. In order to conserve energy of LED lamp and ensure the safety of pedestrian, we propose a new smart control method for LED light system based on USN using compound sensors, such as illuminance, motion, temperature and humidity sensor. An elaborate simulation shows that the proposed system with a smart control based switching can reduce the energy by 40%, compared to the previous street-light system with a fixed time based switching.
A Demand Paging for Reducing The Memory Usage of OS-Less Embedded Systems
Lew, Kyeung Seek ; Jeon, Hyun Jae ; Kim, Yong Deak ;
IEMEK Journal of Embedded Systems and Applications, volume 6, issue 1, 2011, Pages 32~40
For a NAND booting based embedded system, an application program on the NAND flash memory is downloaded to the RAM when the system is booted. In this case, the application program exists in both the RAM and the NAND flash so the RAM usage is increased. In this paper, we suggested the demand paging technique for the decreasing of the RAM usage for OS-less NAND booting based embedded systems. As a result of a benchmark test, 40~80% of the code memory usage was reduced with below 5% of execution time delay.
An Improved Pfair Scheduling Algorithm for Tasks with Variable Execution Times
Park, Hyun-Sun ; Kim, In-Guk ;
IEMEK Journal of Embedded Systems and Applications, volume 6, issue 1, 2011, Pages 41~47
The Pfair scheduling algorithm, which is an optimal scheduling algorithm in the hard real-time multiprocessor environments, propose the necessary and sufficient condition for the schedulability and is based on the fixed quantum size. Recently, several methods that determine the optimal quantum size dynamically were proposed in the mode change environments. But these methods considered only the case in which the period of a task is increased or decreased. In this paper, we also consider the case in which the execution time of a task is increased or decreased, and propose new methods that determine the optimal quantum size dynamically.
Compound Image Identifier Based on Linear Component and Luminance Area
Park, Je-Ho ;
IEMEK Journal of Embedded Systems and Applications, volume 6, issue 1, 2011, Pages 48~54
As personal or compact devices with image acquisition functionality are becoming easily available for common users, the voluminous images that need to be managed by image related services or systems demand efficient and effective methods in the perspective of image identification. The objective of image identification is to associate an image with a unique identifier. Moreover, whenever an image identifier needs to be regenerated, the newly generated identifier should be consistent. In this paper, we propose three image identifier generation methods utilizing image features: linear component, luminance area, and combination of both features. The linear component based method exploits the information of distribution of partial lines over an image, while the luminance area based method utilizes the partition of an image into a number of small areas according to the same luminance degree. The third method is proposed in order to take advantage of both former methods. In this paper, we also demonstrate the experimental evaluations for uniqueness and similarity analysis that have shown favorable results.