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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 4, Issue 4 - Dec 2009
Volume 4, Issue 3 - Sep 2009
Volume 4, Issue 2 - Jun 2009
Volume 4, Issue 1 - Mar 2009
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Environment-Based Ranging Error Correction Technique Using IEEE 802.15.4a CSS PHY
Nam, Min-Seok ; Park, Young-Kyun ; Nam, Young Jin ; Lee, Dong-Ha ; Kang, Jin-Kyu ; Lee, Sang-Cheol ;
IEMEK Journal of Embedded Systems and Applications, volume 4, issue 4, 2009, Pages 148~155
Precise localization heavily relies on the accuracy of its underlying ranging technique. It has been known that the Chirp Spread Spectrum (CSS) defined in the IEEE 802.15.4a provides more dependable ranging accuracy than the Received Signal Strength Indicator (RSSI) in the IEEE 802.15.4. This paper examines the accuracy of the CSS-based ranging technique in the indoor/outdoor environments and discovers its consistent inaccuracy in different environments. Next, it proposes an error-correction architecture for the CSS-based ranging technique that exploits the per-environment consistent inaccuracy information and user visiting patterns (represented by weights for each environment).
Automated Testing System Using AUTOSAR XML
Kum, Daehyun ; Lee, Seonghun ; Park, Gwangmin ; Cho, Jeonghun ;
IEMEK Journal of Embedded Systems and Applications, volume 4, issue 4, 2009, Pages 156~163
Recently a standard software platform for automotive, AUTOSAR, has been developed to manage growing software complexity and improve software reuseability. However reuse of testing system and test data are difficult because they are dependant on implementation language and testing phases. In this paper, we suggest a automated testing approach for AUTOSAR software component using a standardized testing language, TTCN-3. AUTOSAR defines the AUTOSAR XML Schema for the data exchange format so that it is possible to automatically convert AUTOSAR model into TTCN-3 testing model. Therefore our approach is to present generation techniques for the TTCN-3 testing system from a AUTOSAR XML description. With the proposed testing techniques we can reduce time and effort to build the testing system and reuse testing environment.
Model-Based Development and Test Method for The AUTOSAR Embedded Software
Park, Gwangmin ; Kum, Daehyun ; Lee, Seonghun ;
IEMEK Journal of Embedded Systems and Applications, volume 4, issue 4, 2009, Pages 164~173
Automotive systems have tended to be equipped with many electronic contents to satisfy safety, comport, convenience, and entertainment services over the past years. As a result, the amount of vehicle embedded software in electrical/electronic(E/E) systems is steadily increasing to manage these requirements. This leads to the traditional, document-based software development in the vehicle embedded systems being increasingly displaced by a model-based development in order to reduce software development time and cost. Due to the application of model-based development, a great evolution is being realized in the aspect of efficiency, but the development is being made without sufficient testing. So, erroneous automotive embedded software may cause serious problems such as car accidents which relate to human safety. Therefore, efficient methods for model-based test and validation are needed to improve software reliability in the stage of embedded software development. This paper presents the model-based development and test method for AUTOSAR embedded software to improve its reliability and safety, and it is demonstrated based on the case study.
Acceleration Techniques of Application Startup for Embedded Systems
Park, Eun-Byung ; Lee, Yong-Jun ; Kim, Seungkyun ; Lee, Jaejin ; Park, Kyungmin ;
IEMEK Journal of Embedded Systems and Applications, volume 4, issue 4, 2009, Pages 174~179
Due to digital convergence, mobile embedded systems need more functionalities and a fully fledged OS. Applications for such embedded systems are linked with many shared libraries available in the OS and access a large data set at launch time. This results in increased application launch time. In this paper, we propose two techniques for reducing the application launch time: lazy-loading and pinning. Lazy-loading defers loading shared libraries that are not used in the application at launch time, whereas pinning guarantees the residence of shared libraries and data used at launch time in the main memory.
Lane Detection for Adaptive Control of Autonomous Vehicle
Kim, Hyeon-Koo ; Ju, Yeonghwan ; Lee, Jonghun ; Park, Yongwan ; Jeong, Ho-Yeol ;
IEMEK Journal of Embedded Systems and Applications, volume 4, issue 4, 2009, Pages 180~189
Currently, most automobile companies are interested in research on intelligent autonomous vehicle. They are mainly focused on driver's intelligent assistant and driver replacement. In order to develop an autonomous vehicle, lateral and longitudinal control is necessary. This paper presents a lateral and longitudinal control system for autonomous vehicle that has only mono-vision camera. For lane detection, we present a new lane detection algorithm using clothoid parabolic road model. The proposed algorithm in compared with three other methods such as virtual line method, gradient method and hough transform method, in terms of lane detection ratio. For adaptive control, we apply a vanishing point estimation to fuzzy control. In order to improve handling and stability of the vehicle, the modeling errors between steering angle and predicted vanishing point are controlled to be minimized. So, we established a fuzzy rule of membership functions of inputs (vanishing point and differential vanishing point) and output (steering angle). For simulation, we developed 1/8 size robot (equipped with mono-vision system) of the actual vehicle and tested it in the athletics track of 400 meter. Through the test, we prove that our proposed method outperforms 98 % in terms of detection rate in normal condition. Compared with virtual line method, gradient method and hough transform method, our method also has good performance in the case of clear, fog and rain weather.
Implementation of Embedded System for a Fast Iris Identification Based on USN
Kim, Shin-Hong ; Kim, Shik ;
IEMEK Journal of Embedded Systems and Applications, volume 4, issue 4, 2009, Pages 190~194
Iris recognition is a biometric technology which can identify a person using the iris pattern. Recently, using iris information is used in many fields such as access control and information security. But Perform complex operations to extract features of the iris. Because high-end hardware for real-time iris recognition is required. This paper is appropriate for the embedded environment using local gradient histogram embedded system with iris feature extraction methods based on USN(Ubiquitous Sensor Network). Experimental results show that the performance of proposed method is comparable to existing methods using Gabor transform noticeably improves recognition performance and it is noted that the processing time of the local gradient histogram transform is much faster than that of the existing method and rotation was also a strong attribute.
A Novel LDPC Decoder with Adaptive Modified Min-Sum Algorithm Based on SNR Estimation
Park, Joo-Yul ; Cho, Keol ; Chung, Ki-Seok ;
IEMEK Journal of Embedded Systems and Applications, volume 4, issue 4, 2009, Pages 195~200
As 4G mobile communication systems require high transmission rates with reliability, the need for efficient error correcting code is increasing. In this paper, a novel LDPC (Low Density Parity Check) decoder is introduced. The LDPC code is one of the most popular error correcting codes. In order to improve performance of the LDPC decoder, we use SNR (Signal-to-Noise Ratio) estimation results to adjust coefficients of modified UMP-BP (Uniformly Most Probable Belief Propagation) algorithm which is one of widely-used LDPC decoding algorithms. An advantage of Modified UMP-BP is that it is amenable to implement in hardware. We generate the optimal values by simulation for various SNRs and coefficients, and the values are stored in a look-up table. The proposed decoder decides coefficients of the modified UMP-BP based on SNR information. The simulation results show that the BER (Bit Error Rate) performance of the proposed LDPC decoder is better than an LDPC decoder using a conventional modified UMP-BP.