HearCAM Embedded Platform Design

홍선학,조경순 (사)디지털산업정보학회 2014 디지털산업정보학회논문지 Vol.10 No.4

In this paper, we implemented the HearCAM platform with Raspberry PI B+ model which is an open source platform. Raspberry PI B+ model consists of dual step-down (buck) power supply with polarity protection circuit and hot-swap protection, Broadcom SoC BCM2835 running at 700MHz, 512MB RAM solered on top of the Broadcom chip, and PI camera serial connector. In this paper, we used the Google speech recognition engine for recognizing the voice characteristics, and implemented the pattern matching with OpenCV software, and extended the functionality of speech ability with SVOX TTS(Text-to-speech) as the matching result talking to the microphone of users. And therefore we implemented the functions of the HearCAM for identifying the voice and pattern characteristics of target image scanning with PI camera with gathering the temperature sensor data under IoT environment. we implemented the speech recognition, pattern matching, and temperature sensor data logging with Wi-Fi wireless communication. And then we directly designed and made the shape of HearCAM with 3D printing technology.

Robot Controller Design with Embedded RTOS

홍선학,윤진섭 (사)디지털산업정보학회 2010 디지털산업정보학회논문지 Vol.6 No.4

In this paper, We designed the robot controller with Linux OS, Cygwin under the Marvell Monahan PXA320 embedded platform. Cygwin is a collection of tools for using the Linux-like environment for commercially released x86 32 bit and 64 bit versions of Windows and is a DLL that acts as a Linux API emulation layer providing substantial Linux API functionality. TinyOS-2. x is a component based embedded OS by UC Berkeley and is an open-source OS designed for interfacing the sensor application with specific C-language. The results of experiment are described to show the improvement of sensor interfacing functionality under the PXA320 embedded RTOS platform.

Android Real Target Porting Application Software Development

홍선학,남궁일주 (사)디지털산업정보학회 2011 디지털산업정보학회논문지 Vol.7 No.3

In this paper, we implemented the Android NDK porting application with Eclipse(JDK)ADT and TinyOS 2.0. TinyOS and Cygwin are component based embedded system and an open-source basis for interfacing with sensor application from H-mote. Cygwin is a collection of tools for using the Linux environment for commercially released with x86 32 bit and 64bit versions of Windows. TinyOS-2. x is a component based embedded OS by UC Berkeley and is an open-source OS designed for interfacing the sensor application with specific C-language. The results of Android porting experiment are described to show the improvement of sensor interfacing functionality under the PXA320 embedded RTOS platform. We will further more develop the software programming of Android porting under Embedded platform and enhance the functionality of the Android SDK with mobile gaming and kernel programming under sensor interfacing activity.

The ANN Design of a DC / AC Servo-Motor Driving Circuit

홍선학 瑞逸專門大學 2000 論文集 Vol.18 No.-

Edge Impulse Machine Learning for Embedded System Design

홍선학 (사)디지털산업정보학회 2021 디지털산업정보학회논문지 Vol.17 No.3

In this paper, the Embedded MEMS system to the power apparatus used Edge Impulse machine learning tools and therefore an improved predictive system design is implemented. The proposed MEMS embedded system is developed based on nRF52840 system and the sensor with 3-Axis Digital Magnetometer, I2C interface and magnetic measurable range ±1200uT, BM1422AGMV which incorporates magneto impedance elements to detect magnetic field and the ARM M4 32-bit processor controller circuit in a small package. The MEMS embedded platform is consisted with Edge Impulse Machine Learning and system driver implementation between hardware and software drivers using SensorQ which is special queue including user application temporary sensor data. In this paper by experimenting, TensorFlow machine learning training output is applied to the power apparatus for analyzing the status such as “Normal, Warning, Hazard” and predicting the performance at level of 99.6% accuracy and 0.01 loss.

MEMS Embedded System Design

홍선학 (사)디지털산업정보학회 2022 디지털산업정보학회논문지 Vol.18 No.4

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 ±1200uT, 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

Embedded System Design with COS LoRa technology

홍선학,조경순,윤진섭,Hong, Seonhack,Cho, Kyungsoon,Yoon, Jinseob Korea Society of Digital Industry and Information 2018 디지털산업정보학회논문지 Vol.14 No.3

It is the approach of embedded system design that analyzes COS(Cut Out Switch) failure in the power distribution and an instantaneous breakdown of power distribution supply could cause the weakness of industrial competence and therefore we need to feed the stable power distribution with developing the technology of open-source embedded system. In this paper, we apply the LoRa technology which is the Internet of Things(IoT) protocol for low data rate, low power, low cost and long range sensor applications. We designed the hardware and software architecture setup and experimented the embedded system with network architecture and COS monitoring system including accelerometer for detecting the failure of distribution line and sensing the failure of its fuse holder by recognizing the variation and collision and afterwards sending the information to a gateway. With experimenting we designed the embedded platform for sensing the variation and collision according to the COS failure, monitoring its fuse holder status and transferring the information of states with LoRa technology.

Computer Vision Platform Design with MEAN Stack Basis

홍선학,조경순,윤진섭,Hong, Seonhack,Cho, Kyungsoon,Yun, Jinseob Korea Society of Digital Industry and Information 2015 디지털산업정보학회논문지 Vol.11 No.3

In this paper, we implemented the computer vision platform design with MEAN Stack through Raspberry PI 2 model which is an open source platform. we experimented the face recognition, temperature and humidity sensor data logging with WiFi communication under Raspberry Pi 2 model. Especially we directly made the shape of platform with 3D printing design. In this paper, we used the face recognition algorithm with OpenCV software through haarcascade feature extraction machine learning algorithm, and extended the functionality of wireless communication function ability with Bluetooth technology for the purpose of making Android Mobile devices interface. And therefore we implemented the functions of the vision platform for identifying the face recognition characteristics of scanning with PI camera with gathering the temperature and humidity sensor data under IoT environment. and made the vision platform with 3D printing technology. Especially we used MongoDB for developing the performance of vision platform because the MongoDB is more akin to working with objects in a programming language than what we know of as a database. Afterwards, we would enhance the performance of vision platform for clouding functionalities.

Mobile Robot Control with Image Tracking

홍선학,Hong, Seon-Hack The Institute of Electronics and Information Engin 2005 電子工學會論文誌 IE (Industry electronics) Vol.42 No.4

본 논문에서는 이동 로봇 주위의 환경 인식과 자기 위치 인식을 위하여 초음파 센서와 한 개의 카메라를 이용하여 안정적인 이동 경로를 확보할 수 있는 방식을 제시하였다. 개발된 초음파 센서(SRF04)시스템은 주행환경의 지도 작성을 위하여 목표물의 특징 데이터를 작성하고, SDC313(SAMSUNG) 카메라에서 수집된 영상자료와 결합하도록 하여 안정적인 경로탐색이 가능한 이동로봇 제어방식을 실험을 통하여 구현하였다. This paper represents the stable path recognition by the ultrasonic sensor which gathers navigation environments and the monocular image sensor which generates the self localization information of mobile robot. The proposed ultrasonic sensor and vision camera system recognizes the target and extracts parameters for generating the world map and self localization. Therefore, this paper has developed an indoor mobile robot and has stably demonstrated in a corridor environment.

영상 추적을 이용한 이동 로봇 제어

홍선학 대한전자공학회 2005 電子工學會論文誌 IE (Industry electronics) Vol.42 No.4

This paper represents the stable path recognition by the ultrasonic sensor which gathers navigation environments and the monocular image sensor which generates the self localization information of mobile robot. The proposed ultrasonic sensor and vision camera system recognizes the target and extracts parameters for generating the world map and self localization. Therefore, this paper has developed an indoor mobile robot and has stably demonstrated in a corridor environment. 본 논문에서는 이동 로봇 주위의 환경 인식과 자기 위치 인식을 위하여 초음파 센서와 한 개의 카메라를 이용하여 안정적인 이동 경로를 확보할 수 있는 방식을 제시하였다. 개발된 초음파 센서(SRF04)시스템은 주행환경의 지도 작성을 위하여 목표물의 특징 데이터를 작성하고, SDC313(SAMSUNG) 카메라에서 수집된 영상자료와 결합하도록 하여 안정적인 경로탐색이 가능한 이동로봇 제어방식을 실험을 통하여 구현하였다.