• 한국정보통신설비학회:학술대회논문집
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• 한국정보통신설비학회 2006년도 하계학술대회
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• pp.269-273
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• 2006

In this paper, a remote screen control by mobile networks on embedded system is implemented. For this system a server program is ported on the embedded system connected with internet. And on the side of a mobile phone, a client program is ported using GVM. The embedded system can display the text and image from the mobile phone on its LCD. In the implemented embedded system the text and image data from GVM emulator is sent to the system for display on its LCD. The realization of the proposed embedded system can display the text :md image from a working mobile phone.

• 제어로봇시스템학회논문지
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• 제12궈1호
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• pp.72-77
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• 2006

In this paper, a remote screen control by mobile networks on embedded system is implemented. For this system a server program is ported on the embedded system connected with internet. And on the side of a mobile phone, a client program is ported using GVM. The embedded system can display the text from the mobile phone on its LCD. In the implemented embedded system, the text data from GVM emulator is sent to the system for display on its LCD. The realization of the proposed embedded system can display the text from a working mobile phone.

• 한국산학기술학회논문지
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• 제12권10호
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• pp.4574-4577
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• 2011

본 논문에서는 USN(Ubiquitous Sensor Network)에서 사용되는 홈네트워크의 구조를 분석하고, 가정 자동화를 위한 임베디드 시스템을 안드로이드 OS상에서 구현하였다. 개발된 시스템은 홈 네트워크 구축을 위해 무선통신을 이용하므로 설치의 어려움을 최소화 할 수 있는 장점이 있으며, 집을 구성하는 전자적인 컴포넌트에 따라 미리 정의해 놓은 아이디 기반으로 가정 자동화시스템을 구축하였다. 또한, 가정 자동화에 적합한 데이터 구조를 정의하고 패킷의 구조에 따라 안드로이드 OS기반의 응용프로그램을 개발하여 가정 자동화를 위한 임베디드 시스템을 개발하였다.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2003년도 ICCAS
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• pp.2155-2158
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• 2003

A term of home automation that was in fashion only a few years ago has not been used any more. Nowadays, We have been used a term of home network or digital home than home automation much. While internet infra is diffused at home, data network corp., communication corp., electric appliance corp. and home automation control system corp. which we did not mind each other particularly constructed consortium, and they have designs on home network market. Also, cellular phone's growth tried home networking by using not only wired internet but also broadband wireless communication. Regardless, many solutions are coming out it is few to be applied to real life because the standard is not determined with the protocol each other. Therefore, we developed home network system using USB(Universal Serial Bus) that has the possibility most in home networking standard. The mobile USB home control system is excellent at expansibility and portability. Also we can complete low cost and stable system using an embedded system.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2003년도 ICCAS
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• pp.592-597
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• 2003

In this paper, some differential geometric conditions for the observer using a recurrent neural network are provided in terms of a stochastic nonlinear system control. In the stochastic nonlinear system, it is necessary to make an additional condition for observation of stochastic nonlinear system, called perfect filtering condition. In addition, we provide a observer using a recurrent neural network for the observation of a stochastic nonlinear system with the proposed observation conditions. Computer simulation shows that the control performance of the stochastic nonlinear system with a observer using a recurrent neural network satisfying the proposed conditions is more efficient than the conventional observer as Kalman filter

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2003년도 ICCAS
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• pp.479-482
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• 2003

We propose a real time gas monitoring system for classifying various gases with different concentrations. Using thermal modulation of operating temperature of two sensors, we extract patterns of gases from the voltage across the load resistance. We adopt the relative resistance as a pre-processing method and an ART2 neural network as a pattern recognition method. The proposed method has been implemented in a real time embedded system with tin oxide gas sensors, TGS 2611, 2602 and an MSP430 ultra-low power microcontroller in the test chamber.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2005년도 ICCAS
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• pp.1550-1552
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• 2005

In this paper, we have designed a Fingerprint Recognition System based on the Embedded LINUX. The fingerprint is captured using the AS-S2 semiconductor sensor. To extract a feature vector we transform the image of the fingerprint into a column vector. The image is row-wise filtered with the low-pass filter of the Haar wavelet. The feature vectors of the different fingerprints are compared by computing with the probabilistic neural network the distance between the target feature vector and the stored feature vectors in advance. The system implemented consists of a server PC based on the LINUX and a client based on the Embedded LINUX. The client is a Tynux box-x board using a PXA-255 CPU. The algorithm is simple and fast in computing and comparing the fingerprints.

• 대한임베디드공학회논문지
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• 제16권1호
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• pp.9-15
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• 2021

Recently, it is increasingly necessary to run high-end neural network applications with huge computation overhead on top of resource-constrained embedded systems, such as wearable devices. While the huge computational overhead can be alleviated by distributed neural networks running on multiple separate devices, existing distributed neural network techniques suffer from a large traffic between the devices; thus are very vulnerable to communication failures. These drawbacks make the distributed neural network techniques inapplicable to wearable devices, which are connected with each other through unstable and low data rate communication medium like human body communication. Therefore, in this paper, we propose a distributed neural network partitioning technique that is resilient to communication failures. Furthermore, we show that the proposed technique also improves the inference accuracy even in case of no communication failure, thanks to the improved network partitioning. We verify through comparative experiments with a real-life neural network application that the proposed technique outperforms the existing state-of-the-art distributed neural network technique in terms of accuracy and resiliency to communication failures.

• Journal of Information Processing Systems
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• 제18권3호
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• pp.428-442
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• 2022

A reliable automatic passenger counting (APC) system is a key point in transportation related to the efficient scheduling and management of transport routes. In this study, we introduce a lightweight head detection network using deep learning applicable to an embedded system. Currently, object detection algorithms using deep learning have been found to be successful. However, these algorithms essentially need a graphics processing unit (GPU) to make them performable in real-time. So, we modify a Tiny-YOLOv3 network using certain techniques to speed up the proposed network and to make it more accurate in a non-GPU environment. Finally, we introduce an APC system, which is performable in real-time on embedded systems, using the proposed head detection algorithm. We implement and test the proposed APC system on a Samsung ARTIK 710 board. The experimental results on three public head datasets reflect the detection accuracy and efficiency of the proposed head detection network against Tiny-YOLOv3. Moreover, to test the proposed APC system, we measured the accuracy and recognition speed by repeating 50 instances of entering and 50 instances of exiting. These experimental results showed 99% accuracy and a 0.041-second recognition speed despite the fact that only the CPU was used.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2009년도 정보 및 제어 심포지움 논문집
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• pp.243-245
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• 2009

In recent years, a development of automotive embedded systems called Intelligent Vehicle are used for control and communication with CAN protocol. But as various devices and protocols are developed for Vehicle communication and control, it becomes difficult to manage the systems that contain limitation of bandwidth and various control requirement. To solve these problems, we introduce a research of automotive embedded systems which is considered the automotive real time operating system, automotive communications, and control systems.