• 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.

• 제어로봇시스템학회논문지
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• 제13권12호
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• pp.1173-1178
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• 2007

Ubiquitous sensor network (USN) is composed of many sensor nodes which are one of the simplest form of embedded system. In developing the sensor network system, a debugging tool is necessary to test and verify the system. Recently, a so-called packet analyzer has been developed for this purpose, and it supports IEEE 802.15.4 which is considered as the standard for the sensor network protocols. The major function of the packet analyzer is to take RF packets from sensor nodes and show the structure and the data of the packets graphically to the user. However, the conventional packet analyzers do not support remote control because they require a USB interface along with a personal computer. To make it available for remote control, we propose a new packet analyzer based on a server-client scheme in which a server program is implemented on embedded Linux and a client program is implemented on Windows for convenient use.

• 전자공학회논문지 IE
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• 제47권1호
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• pp.48-55
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• 2010

본 논문은 특정목적의 수행을 위해 설계될 임베디드 플랫폼의 효율적인 선택에 관하여 다룬다. 특히, 영상 및 음향 신호 처리를 통해 실시간 상황인지를 목적으로 하는 차량 시스템을 예로 들어 설명한다. 실험을 위하여 검증된 성능평가 프로그램들 중에서 응용목적에 맞는 프로그램을 선택한 후 시뮬레이터를 사용하여 ARM7, ARM9, ARM10 프로세서 코어를 기준으로 코드 및 데이터 메모리 크기, 명령어 수, 실행 사이클을 측정하였다. 이 연구에서 제안된 방법으로 특정목적을 수행하기 위한 하드웨어 최소사양이 측정 가능하였으며, 이 결과는 설계 및 구현에 많은 시간이 소요되는 임베디드 시스템의 설계단계에서 시스템의 목적 수행에 필요한 플랫폼 사양을 도출하여 효율적인 플랫폼선택의 기준을 제시하는 것이 가능함을 보였다.

• 대한임베디드공학회논문지
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• 제10권5호
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• pp.281-296
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• 2015

This paper describes a novel disaster evacuation system using embedded systems such as smart devices for crisis and emergency management. In indoor environments deployed with the Bluetooth Low Energy(BLE) beacons, smart devices detect their indoor positions from beacon messages and interact with Map Server(MS) and Route Server(RS) in the Internet over the LTE and/or Wi-Fi functions. The MS and RS generate an optimal path to the nearest emergency exit based on a novel graph generation method for less route computation, called the Disaster Evacuation Graph(DEG), for each smart device. The DEG also enables efficient processing of some constraints in the computation of route, such as load balancing in situation of different capacities of paths or exits. All data interfaces among three system components, the MS, RS, smart devices, have been defined for modular implementation of our disaster evacuation system. Our experimental system has been deployed and tested in our building thoroughly and gives a good evidence that the modular design of the system and a novel approach to compute emergency route based on the DEG is competitive and viable.

• 한국콘텐츠학회:학술대회논문집
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• 한국콘텐츠학회 2008년도 춘계 종합학술대회 논문집
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• pp.569-572
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• 2008

본 논문에서는 Qt 임베디드를 이용한 무선 주문 시스템을 구성함으로서 실용성 있는 제품 제작에 활용될 수 있는 기법을 제안하고, 실제 구현하여 다양한 응용에 활용할 수 있음을 알 수 있다. 본 논문에서는 무선 네트워크상에서 Qt에서 제공되는 QSocket 클래스의 TCP/IP 프로토콜을 이용하여 데이터 입력, 전달, 수집, 재전송 등을 구현하였다. 서버 환경은 PC 상에서 Linux 9.0, gcc-2.95.3을 사용하였으며, PXA255 프로세서를 사용하는 3 대의 타겟 보드를 모두 액세스 포인터를 기반으로 하는 무선 네트워크로 구현하였다. 타겟 보드의 소프트웨어 툴은 gcc, tmake, qt-X11, qt-embedded를 사용하여 구성하였으며, 그래픽 인터페이스를 이용한 터치스크린 방식으로 설계함으로서 사용의 편리성을 추구하였다.

• Journal of Electrical Engineering and Technology
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• 제9권5호
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• pp.1454-1470
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• 2014

This paper propose a new power conditioner topology with intelligent power management controller that integrates multiple renewable energy sources such as solar energy, wind energy and fuel cell energy with battery backup to make best use of their operating characteristics and obtain better reliability than that could be obtained by single renewable energy based power supply. The proposed embedded controller is programmed for maintaining a constant voltage at PCC, maximum power point tracking for solar PV panel and WTG and power flow control by regulating the reference currents of the controller on instantaneous basis based on the power delivered by the sources and load demand. Instantaneous variation in reference currents of the controller enhances the controller response as it accommodates the effect of continuously varying solar insolation and wind speed in the power management. The power conditioner uses a battery bank with embedded controller based online SOC estimation and battery charging system to suitably sink or source the input power based on the load demand. The simulation results of the proposed power management system for a standalone solar/WTG/fuel cell fed hybrid power supply with real time solar radiation and wind velocity data collected from solar centre, KEC for a sporadically varying load demand is presented in this paper and the results are encouraging in reliability and stability perspective.

• 한국산업정보학회논문지
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• 제24권4호
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• pp.9-19
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• 2019

경량 임베디드 디바이스가 저전력 네트워킹뿐만 아니라 고정밀 센서 데이터 획득과 같은 영역에서 널리 활용되면서 소프트웨어 타이머에 대한 높은 시간정확성이 요구된다. 이 논문은 경량 MCU(Micro controller unit)를 장착한 임베디드 디바이스 환경에서 소프트웨어 타이머의 정확성 문제를 다룬다. 먼저, 소프트웨어 타이머의 전형적 구현 모델을 구현할 때 오차를 발생시키는 주요 오버헤드의 유형을 면밀히 분석한 후에 실제 환경에서 오버헤드를 측정한다. 이 오버헤드를 타이머 설정주기에 반영하는 오버헤드 보정 기법을 통해 소프트웨어 타이머의 정확성을 향상시킬 수 있다는 점을 검증한다.

• 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.

• 디지털산업정보학회논문지
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• 제18권4호
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• pp.47-54
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• 2022

In this paper, MEMS embedded system design implemented the sensor events via analyzing the characteristics that dynamically happened to an abnormal status in power IoT environments in order to guarantee a maintainable operation. We used three kinds of tools in this paper, at first Bluetooth Low Energy (BLE) technology which is a suitable protocol that provides a low data rate, low power consumption, and low-cost sensor applications. Secondly LSM6DSOX, a system-in-module containing a 3-axis digital accelerometer and gyroscope with low-power features for optimal motion. Thirdly BM1422AGMV Digital Magnetometer IC, a 3-axis magnetic sensor with an I2C interface and a magnetic measurable range of ±120 uT, which incorporates magneto-impedance elements to detect the magnetic field when the current flowed in the power devices. The proposed MEMS system was developed based on an nRF5340 System on Chip (SoC), previously compared to the standalone embedded system without bluetooth technology via mobile App. And also, MEMS embedded system with BLE 5.0 technology broadcasted the MEMS system status to Android mobile server. The experiment results enhanced the performance of MEMS system design by combination of sensors, BLE technology and mobile application.

• 한국정밀공학회지
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• 제20권2호
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• pp.94-103
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• 2003

In case of environment requiring safety such as human body and requiring flexible shape, a conventional mechanical actuator system does not satisfy requirements. Therefore, in order to solve these problems. a research of various smart material such as EAP (Electro Active Polymer), EAC (Electro Active Ceramic) and SMA (Shape Memory Alloy) is in progress. Recently, the highest preferring material among various smart material is EP (Electrostictive Polymer), because it has very fast response time, powerful force and large displacement. The previous researches have been studied properties of polymer and simple control, but present researches are studied a polymer actuator. An EP (Electostrictive Polymer) actuator has properties which change variably ils shape and environmental condition. Therefore, in order to coincide with a user's purpose, it is important not only to decide a shape of actuator and mechanical design but also to investigate a efficient controller. In this paper, we constructed the control logic with an adaptive fuzzy algorithm which depends on the physical properties of EP that has a dielectric constant depending on time. It caused for a sub-actuator to operate at the same time that a sub-actuator system operation increase with a functional improvement and control efficiency improvement in each actuator, hence it becomes very important to manage it effectively and to control the sub-system which Is operated effectively. There is a limitation on the management of Main-host system which has multiple sub-system, hence it brings out the Multi-Vehicle Control process that disperse the task efficiently. Controlling the multi-dispersion system efficiently, it needs the research of Main-host system's scheduling, data interchange between sub-actuators, data interchange between Main-host system and sub-actuator system, and data communication process. Therefore in this papers, we compared the fuzzy controller with the adaptive fuzzy controller. also, we applied the scheduling method for efficient multi-control in EP Actuator and the algorithm with interchanging data, protocol design.