• Journal of the Institute of Electronics and Information Engineers
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• v.53 no.8
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• pp.136-144
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• 2016

In general, it is this variety of learning methods and teaching tools for embedded software development and deployment training. In this paper, I want to take advantage of the smart robot to learn creative problem-solving methods that are required in embedded software engineering education. It analyzes the effect of creative engineering education with the smart robot and presents for RSPM Engineering Embedded SW teaching methods to improve NCS education. Embedded SW engineering education in a more creative and smart robot, EV3 system was utilized to improve SW programming skills. In this paper, we utilize the EV3 system to the parish through the creative RSPM engineering courses through the survey and analysis of the impact level, interests and program skills and influence in embedded SW engineering education propose for successful embedded software programming skills potential.

• Journal of Korea Multimedia Society
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• v.18 no.11
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• pp.1289-1301
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• 2015

Pedestrian detection (PD) is an essential task in various applications and sliding window-based methods utilizing HOG (Histogram of Oriented Gradients) or HOG-like descriptors have been shown to be very effective for accurate PD. However, due to exhaustive search across images, PD methods based on sliding window usually require heavy computational time. In this paper, we propose a real-time PD method for embedded visual surveillance with fixed backgrounds. The proposed PD method employs HOG descriptors as many PD methods does, but utilizes selective search so that it can save processing time significantly. The proposed selective search is guided by restricting searching to candidate regions extracted from Adaptive Gaussian Mixture Model (AGMM)-based background subtraction technique. Moreover, approximate computation of HOG descriptor and implementation in fixed-point arithmetic mode contributes to reduction of processing time further. Possible accuracy degradation due to approximate computation is compensated by applying an appropriate one among three offline trained SVM classifiers according to sizes of candidate regions. The experimental results show that the proposed PD method significantly improves processing speed without noticeable accuracy degradation compared to the original HOG-based PD and HOG with cascade SVM so that it is a suitable real-time PD implementation for embedded surveillance systems.

• The Transactions of the Korea Information Processing Society
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• v.7 no.7
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• pp.2135-2148
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• 2000

Developing network software in embedded systems, such as digital set-top boxes, requires coding under limited computing resources. This paper presents the porting of Point-to-point Protocol (PPP) software, PPPD, to an embedded system. The PPP is the most popular link layer protocol for the information appliance, to an embedded system. In order to achieve this, problems to be solved for the porting were identified and methods to solve the problems were described. First, PPP source codes were divided into modules. Next, functions of each module were analyzed and interfaces between the modules were delineated. With the analysis results, porting to the embedded system was described. The normal operation of the ported software was verified with the help of a network packet analyzer. Finally, experiences during the porting were presented. The method developed in th paper can be applied to the porting of software to an embedded system as well as the porting of network software.

• IEMEK Journal of Embedded Systems and Applications
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• v.8 no.5
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• pp.243-248
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• 2013

Reliability evaluation is important task in embedded system. It can avoid potential failures and manage the vulnerable components of embedded system effectively. Dynamic fault tree analysis is one of the reliability evaluation methods. It can represent dynamic characteristics of a system such as fault & error recovery, sequence-dependent failures. In this paper, the steering system, which is embedded system in vehicles, is represented using dynamic fault tree. We evaluate the steering system using approximation algorithm based on Simpson's rule. A set of simulation results shows that proposed method overcomes the low accuracy of classic approximation method without requiring no excessive calculation time of the Markov chain method.

• Kyungpook Mathematical Journal
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• v.56 no.2
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• pp.311-327
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• 2016

In this paper, we propose an error embedded Runge-Kutta method to improve the traditional embedded Runge-Kutta method. The proposed scheme can be applied into most explicit embedded Runge-Kutta methods. At each integration step, the proposed method is comprised of two equations for the solution and the error, respectively. These solution and error are obtained by solving an initial value problem whose solution has the information of the error at each integration step. The constructed algorithm controls both the error and the time step size simultaneously and possesses a good performance in the computational cost compared to the original method. For the assessment of the effectiveness, the van der Pol equation and another one having a difficulty for the global error control are numerically solved. Finally, a two-body Kepler problem is also used to assess the efficiency of the proposed algorithm.

• The Korean Journal of Applied Statistics
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• v.28 no.6
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• pp.1257-1273
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• 2015

The development process of Embedded Software (SW) is gathering interest due to the increased importance of SW in mobile products. According to tough competition and the growing size of the Embedded SW, there is a demand for a new effective way to improve the SW development process, based on customer and market quality aspects, rather than focusing on defect removals in individual SW modules. We review 103 SW improvement projects from the area of mobile phones in order to check the effectiveness of Six Sigma which is the standard for the process improvement statistical tools and methods.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.10 no.1
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• pp.128-134
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• 2009

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 using iris feature extraction methods have implement. 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.

• Journal of Korea Multimedia Society
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• v.22 no.2
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• pp.167-177
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• 2019

Even though so much progresses have been achieved in Multiple Object Tracking (MOT), most of reported MOT methods are not still satisfactory for commercial embedded products like Pan-Tilt-Zoom (PTZ) camera. In this paper, we propose a real-time multiple pedestrians tracking method for embedded environments. First, we design a new light weight convolutional neural network(CNN)-based pedestrian detector, which is constructed to detect even small size pedestrians, as well. For further saving of processing time, the designed detector is applied for every other frame, and Kalman filter is employed to predict pedestrians' positions in frames where the designed CNN-based detector is not applied. The pose orientation information is incorporated to enhance object association for tracking pedestrians without further computational cost. Through experiments on Nvidia's embedded computing board, Jetson TX2, it is verified that the designed pedestrian detector detects even small size pedestrians fast and well, compared to many state-of-the-art detectors, and that the proposed tracking method can track pedestrians in real-time and show accuracy performance comparably to performances of many state-of-the-art tracking methods, which do not target for operation in embedded systems.

• The Journal of Korean Academic Society of Nursing Education
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• v.23 no.2
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• pp.135-145
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• 2017

Purpose: The purpose of this study was to develop a program outcomes assessment system based on Course Embedded Assessment for nursing education. Methods: This study was conducted in accordance with the procedures of the developmental research method. Results: The major results are as follows. 1) The program outcomes were measured according to the Analytic Hierarchy Process. 2) The Course Embedded Assessment matrix was made according to program outcomes' weight, the curriculum-organizing principle, and achievement levels. 3) The Course Embedded Assessment rubric was developed in logical process, and consisted of a performance criterion, and rating scale. The content validity index of the Course Embedded Assessment rubric was 0.85. 4) An evaluation guideline and 12 documents were developed to facilitate the performance of the assessment system. 5) The average content validity index of the Course Embedded Assessment-based program outcomes assessment system was as high as 0.89. Conclusion: A Course Embedded Assessment-based program outcomes assessment system is more suitable for accreditation of nursing education than previous studies. Because this system evaluates the process of achievement as well as program outcomes, the results can also serve as immediate feedback to improve the educational process. Above all, this system facilitates that students check their achievements and strive to acquire core competencies in nursing.

• IEMEK Journal of Embedded Systems and Applications
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• v.4 no.4
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• pp.164-173
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• 2009

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.