• Journal of the Korea Society for Simulation
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• v.25 no.1
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• pp.35-43
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• 2016

Increasing the proportion of an embedded system in automotive industry, test methods for evaluation and fault detection of the embedded system have been researched. HILS is a test method that is used in the development and test of complex real-time embedded systems. In this study, we defined the HILS method of the ECU, one of the embedded systems used in automobiles. Our method is to create a test model that can provide a virtual vehicle environment to the ECU on the basis of the actual vehicle data. The test model has reference information that can transmit the sensor signal and CAN Message into the ECU from HILS tester. In this study, the HILS can detect faults of the target ECU.

• Journal of the HCI Society of Korea
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• v.10 no.2
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• pp.65-71
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• 2015

In this paper, we present binocular augmented reality system with smartphones. With improvements of performance and resolution of recent smartphones, various virtual reality devices using smartphones and applications are appearing in the market. But the augmented reality system with smartphones are not that popular because of the lack of required technologies. In our work, we discuss about 3D mapping and tracking using computer vision. Also, we provide hybrid tracking using sensors in the smartphone which can handle the computer vision failure cases. Bare hand 3D interaction method in our system will be also presented.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• v.9 no.2
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• pp.512-516
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• 2005

Home-Network is an integrated network of the PC and all electric home appliances in the home so that they can communicate with each other. In the 21th century, here are various technology for home Network environment such as HomePNA, IEEE1394, Ethernet Lan and Bluetooth. For Home Network construction, generally, the standard series interface 'RS232' is used to make communication possible between electric home appliances. However Home network using RS232 has a problem. That is, All machines have to be connected to each other with RS232 using Point-to-Point mode. In this case, the system becomes complicated because we have to use circuits as much as there are machines and increased expenses. To improve this problem, In this thesis, designed home network using RS422 Multi-drop mode serial communication and controled it with embedded linux system. And connected RS422 with motors and sensors using PIC to make the home network virtual environment.

• Journal of Intelligence and Information Systems
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• v.18 no.2
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• pp.1-17
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• 2012

The Smartphone, one of essential mobile devices widely used recently, can be very effectively applied to capture knowledge on the spot by jointly applying the pervasive functionality of cloud computing. The process of knowledge capturing can be also effectively automated if the topic of knowledge is automatically identified. Therefore, this paper suggests an interdisciplinary approach to automatically acquire knowledge on the spot by combining technologies of text mining-based topic identification and cloud computing-based Smartphone. The Smartphone is used not only as the recorder to record knowledge possessor's dialogue which plays the role of the knowledge source, but also as the sensor to collect knowledge possessor's context data which characterize specific situations surrounding him or her. The support vector machine, one of well-known outperforming text mining algorithms, is applied to extract the topic of knowledge. By relating the topic and context data, a business rule can be formulated, and by aggregating the rule, the topic, context data, and the dictated dialogue, a set of knowledge is automatically acquired.

• Journal of the Korean Society for Nondestructive Testing
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• v.23 no.3
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• pp.237-245
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• 2003

Since the velocity is dependent on the fiber orientation in anisotropic composites, the application of traditional acoustic emission (AE) source location techniques based on the constant velocity to composite structures has been practically impossible. The anisotropy makes the source location procedure complicated and deteriorates the accuracy of the location. In this study, we have divided the region of interest(ROI) into a set of finite elements, taken each element as a virtual source, and calculated the arrival time differences between sensors by using the velocities at every degree from 0 to 90. The calculated and the experimentally measured values of the arrival time difference aye then compared to minimize the location error. The results from two different materials, namely AA6061-T6 and CFRP(uni-directional; UD, $[0]_{32}4$) laminate confirmed the practical usefulness of the proposed method.

• Proceedings of the Korean Information Science Society Conference
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• 2010.06c
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• pp.358-363
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• 2010

본 논문은 가정용 청소로봇이 대중화가 이루어지면서 많은 종류의 청소로봇들이 개발되고 있지만 대부분의 청소로봇들이 외부 환경과 상호적으로 대응하지 못하고 무작위 경로 생성에 가까운 알고리즘들을 적용하고 있는 점에서 착안하였다. 목표로 하고 있는 경로 탐색 기법은 대부분의 가정용 청소로봇이 장착하고 있는 범퍼 센서를 사용하여 논리적인 가상의 지도를 생성하고 이 정보를 활용하여 청소로봇의 위치를 파악하고 최적의 청소 경로를 생성하는 방법이다. 사람이 진공청소기를 사용하여 청소를 하듯이 청소할 공간을 파악하고 일련의 규칙대로 청소하는 무의식의 프로세스를 청소로봇이 최대한 유사하게 작동하기 위해서는 벽뿐만 아니라 소파나 테이블과 같은 로봇의 움직임을 방해하는 각종 요소들을 모두 고려해야 한다. 그러므로 본 논문에서는 Occupancy Grid Map을 생성하여 로봇이 장애물의 위치를 파악하고 청소 경로를 탐색할 수 있도록 한다. 그리고 이러한 경로 탐색 기법을 적용하기 위해서 Monte-Carlo Localization 알고리즘을 사용하며 생성된 Occupancy Grid Map을 통하여 로봇이 자체적으로 위치를 파악할 수 있도록 한다. 청소로봇이 자체의 위치를 파악하게 되면 로봇의 크기와 비교하여 움직일 수 있는 공간과 움직이지 못하는 공간을 구별하여 이동 가능한 영역과는 별개로 청소를 위한 경로 탐색을 수행할 수 있다. 청소를 목적으로 하는 경로 탐색은 청소 영역을 최대화하면서 최적의 경로를 탐색하고 Localization을 통해 해당 경로를 유지하면서 이동할 수 있게 된다. 이러한 경로 탐색 기법을 제시하면서 기존의 청소로봇들과의 알고리즘 차원에서의 비교 및 그 성능 평가는 향후 연구에서 해결하도록 한다.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.12 no.12
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• pp.2315-2322
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• 2008

The requesting a consultation of the farm manager is about the diagnosis and prevention of the breeding and extermination for diseases and insects in greenhouse, the managing problem for diseases and insects turn up a main issue. To solve these problems, this paper proposes a PDA based greenhouse, diseases and insects management system for mobile(GDIMS) uses as keeping up with ubiquitous time, which makes prediction and management for diseases and insects more efficiently checked at any time and anywhere you want to, and go well with the motto of ubiquitous. This system is using the environmental data from the greenhouse attached sensors provide the accurate diagnosis and recipes, which supports to product clean crops. There are no need to visit the greenhouse because our system is based on mobile devices that obtain the information in the greenhouse, which makes management in efficient with little number of people. This wort builds simply virtual greenhouse model that assembles system component of environmental sensor for performance analysis and offers a PDA view of the greenhouse status.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2016.10a
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• pp.915-918
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• 2016

Virtual testing devices are required due to rapid changes in the health care industry and the increase of the medical or nursing workforce. The importance of devices such as the simulator, blood vessels, and lab equipment for modeling blood flow to the heart is increasing too. In this study, we made heart pump by using a step motor and developed device which simulates arterial, venous blood pressure, and blood flow. We finally evaluated the function of proposed device. The proposed system is composed of the pump for simulating, the valve device to describe the resistance of the artery and vein, and a reducing device showing the characteristics of the venous system. We used BOXER pump for heart simulator and silicon tube for arterial and venous vessels, and designed a reducing device. We also used the pressure sensor to measure arterial blood pressure. For the evaluation of the proposed system, we selected a range of 50~100mmHg of the blood circuit 60 per minute and then compared the blood pressure of a person and the measured blood pressure.

• The Journal of Society for e-Business Studies
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• v.26 no.1
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• pp.127-140
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• 2021

Recently, sequence data containing time information, such as sensor measurement data and purchase history, has been generated in various applications. So far, many methods for finding sequences that are significantly different from other sequences among given sequences have been proposed. However, most of them have a limitation that they consider only the order of elements in the sequences. Therefore, in this paper, we propose a new anomalous sequence detection method that considers both the order of elements and the time interval between elements. The proposed method uses an extended LSTM autoencoder model, which has an additional layer that converts a sequence into a form that can help effectively learn both the order of elements and the time interval between elements. The proposed method learns the features of the given sequences with the extended LSTM autoencoder model, and then detects sequences that the model does not reconstruct well as anomalous sequences. Using experiments on synthetic data that contains both normal and anomalous sequences, we show that the proposed method achieves an accuracy close to 100% compared to the method that uses only the traditional LSTM autoencoder.

• Journal of the Korea Society of Computer and Information
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• v.27 no.3
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• pp.45-52
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• 2022

A tangible sports game is an exercise game that uses sensors or cameras to track the user's body movements and to feel a sense of reality. Recently, VR indoor sports room systems installed to utilize tangible sports game for physical activity in schools. However, these systems primarily use screen-touch user interaction. In this research, we developed a V-Catch Vision system that uses AI image recognition technology to enable tracking of user movements in three-dimensional space rather than two-dimensional wall touch interaction. We also conducted a usability evaluation experiment to investigate the exercise effects of this system. We tried to evaluate quantitative exercise effects by measuring blood oxygen saturation level, the real-time ECG heart rate variability, and user body movement and angle change of Kinect skeleton. The experiment result showed that there was a statistically significant increase in heart rate and an increase in the amount of body movement when using the V-Catch Vision system. In the subjective evaluation, most subjects found the exercise using this system fun and satisfactory.