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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
Editor in Chief :
Volume & Issues
Volume 7, Issue 6 - Dec 2012
Volume 7, Issue 5 - Oct 2012
Volume 7, Issue 4 - Aug 2012
Volume 7, Issue 3 - Jun 2012
Volume 7, Issue 2 - Apr 2012
Volume 7, Issue 1 - Feb 2012
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Night Time Leading Vehicle Detection Using Statistical Feature Based SVM
Joung, Jung-Eun ; Kim, Hyun-Koo ; Park, Ju-Hyun ; Jung, Ho-Youl ;
IEMEK Journal of Embedded Systems and Applications, volume 7, issue 4, 2012, Pages 163~172
DOI : 10.14372/IEMEK.2012.7.4.163
A driver assistance system is critical to improve a convenience and stability of vehicle driving. Several systems have been already commercialized such as adaptive cruise control system and forward collision warning system. Efficient vehicle detection is very important to improve such driver assistance systems. Most existing vehicle detection systems are based on a radar system, which measures distance between a host and leading (or oncoming) vehicles under various weather conditions. However, it requires high deployment cost and complexity overload when there are many vehicles. A camera based vehicle detection technique is also good alternative method because of low cost and simple implementation. In general, night time vehicle detection is more complicated than day time vehicle detection, because it is much more difficult to distinguish the vehicle`s features such as outline and color under the dim environment. This paper proposes a method to detect vehicles at night time using analysis of a captured color space with reduction of reflection and other light sources in images. Four colors spaces, namely RGB, YCbCr, normalized RGB and Ruta-RGB, are compared each other and evaluated. A suboptimal threshold value is determined by Otsu algorithm and applied to extract candidates of taillights of leading vehicles. Statistical features such as mean, variance, skewness, kurtosis, and entropy are extracted from the candidate regions and used as feature vector for SVM(Support Vector Machine) classifier. According to our simulation results, the proposed statistical feature based SVM provides relatively high performances of leading vehicle detection with various distances in variable nighttime environments.
An Efficient Implementation Architecture for Lifting Based High Speed Integer Wavelet Transform
Kim, Suc-June ; Jang, Young-Jo ;
IEMEK Journal of Embedded Systems and Applications, volume 7, issue 4, 2012, Pages 176~179
In this paper, we propose an efficient architecture for 2D IWT using an existing 1D IWT. Lifting based IWT is the architecture of which a multiplier is replaced by adders and shift registers. The structure is relatively simple and modular. The proposed architecture to process an image size with 256x256 pixels consists of 16 adders, 8 shift registers, and some memories. By processing two rows at the same time, 2D sub-band coefficients can be calculated immediately after 1D sub-band coefficients have been processed. The architecture is designed so that each image can be inputted consecutively. The number of adders and shift registers is increased by twice comparing the existing architecture, but the memory size and the execution time are decreased by half. The proposed architecture is implemented using Verilog-HDL and simulated using iSim. It is synthesized and demonstrated at ISE for xc5vlx330 in RPS3K board.
A Group Social Diet Application Based on Motion Game
Lee, JaeWon ; Lee, MinSuk ;
IEMEK Journal of Embedded Systems and Applications, volume 7, issue 4, 2012, Pages 181~186
DOI : 10.14372/IEMEK.2012.7.4.181
Obesity is one of the biggest problem in modern society. Smartphone could be a good tool to handle this problem. In this paper, we propose a new smartphone app to recommend diet, to offer a physical practice by motion games. Our Android smartphone application encourages friends to join group fitness programs. It interfaces with social network services and smart-TV.
MDS-based Localization Reflecting Depth, Temperature, and Salinity of Ocean in Underwater Acoustic Sensor Networks(UWASNs)
Jung, Hui-Sok ; Kim, Eun-Chan ; Yang, Yeon-Mo ;
IEMEK Journal of Embedded Systems and Applications, volume 7, issue 4, 2012, Pages 187~191
DOI : 10.14372/IEMEK.2012.7.4.187
In these days, there are huge increases of concerning underwater acoustic sensor networks (UWASNs) to explore marine resources and to monitor climate change. To collect information from sensor nodes which are randomly deployed in underwater, Multi-Dimensional Scaling (MDS) based locating methods have been recently introduced, which consider sound speed to be constant in underwater. However, underwater sound speed tends to vary depending on underwater environment factors, such as depth, temperature, and salinity. In this paper, we propose a method considering environment factors, can influence upon sound speed in underwater, and introduce experimental setup which can follow up environmental factors.
Timer-based Credit Scheduler for Supporting Low Latency Task
Kim, Byung-Ki ; Ko, Young-Woong ;
IEMEK Journal of Embedded Systems and Applications, volume 7, issue 4, 2012, Pages 193~199
DOI : 10.14372/IEMEK.2012.7.4.193
Virtualization allows multiple commodity operating systems to share on a single physical machine. Resource allocation among virtual machines is a key to determine virtual machine performance. To satisfy time-sensitive task on a domain, hypervisor needs to observe the resource requirements and allocates proper amount of CPU resources in a timely manner. In this paper, we propose a realtime credit scheduler for latency sensitive application on virtual machines. The key idea is to register a time event in the Xen hypervisor. Experiment result shows that the proposed scheme is superior to Credit scheduler.
Analysis on the Effectiveness of the Filter Buffer for Low Power NAND Flash Memory
Jung, Bo-Sung ; Lee, Jung-Hoon ;
IEMEK Journal of Embedded Systems and Applications, volume 7, issue 4, 2012, Pages 201~207
DOI : 10.14372/IEMEK.2012.7.4.201
Currently, NAND Flash memory has been widely used in consumer storage devices due to its non-volatility, stability, economical feasibility, low power usage, durability, and high density. However, a high capacity of NAND flash memory causes the high power consumption and the low performance. In the convention memory research, a hierarchical filter mechanism can archive an effective performance improvement in terms of the power consumption. In order to attain the best filter structure for NAND flash memory, we selected a direct-mapped filter, a victim filter, a fully associative filter and a 4-way set associative filter for comparison in the performance analysis. According to the results of the simulation, the fully associative filter buffer with a 128byte fetching size can obtain the bet performance compared to another filter structures, and it can reduce the energy*delay product(EDP) by about 93% compared to the conventional NAND Flash memory.