• IEMEK Journal of Embedded Systems and Applications
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• v.14 no.4
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• pp.187-195
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• 2019

In the fourth industrial revolution era, various commercial smart platforms for smart system implementation are being developed and serviced. However, since most of the smart platforms have been developed for general purposes, they are difficult to apply / utilize because they cannot satisfy the requirements of real-time data management, data visualization and data storage of smart factory system. In this paper, we implemented an open source based smart manufacturing big data platform that can manage highly efficient / reliable data integration for the diagnosis diagnostic system of manufacturing robots.

• Proceedings of the Korea Contents Association Conference
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• 2014.06a
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• pp.481-482
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• 2014

• The Journal of the Korea institute of electronic communication sciences
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• v.9 no.9
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• pp.991-998
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• 2014

Embedded System operates hardware installed like processor, memory device, various input/output devices and software to control them. This thesis presents MPU module and Base board which are efficient industrial control through design and manufacture as developing S5PV210 CPU of SAMSUNG used by ARM Cortex-A8 based on Android which is Open mobile platform is installed to embedded system. Data for temperature and humidity which are received by CAN communication module proved the suitability and validity for the embedded platform design as implementing application program employed the native App with Linux Kernel based on the Android OS and application of HTML5.

• Journal of Practical Engineering Education
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• v.13 no.3
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• pp.483-490
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• 2021

In this paper, we proposed the development of a smart factory intergrated technology education platform using smart factory based CPPS (Cyber Physical Production System) and VR (Vitrual Reality) technology and educational methods using the platform. A platform has been developed to learn how to integrate 3D digital twin and BOP (Bill of Process)-based manufacturing processes. In addition, Digital Twin established a smart factory-based integrated education platform by linking mechanical systems, digital twins, and virtual reality through the OPC-UA server. Based on this platform, the smart factory integration platform is proposed to have individual elements of the smart factory integration platform through BOP-based digital twin simulation, OPC-UA integration, MES system, SCADA system, and VR interworking.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.8 no.4
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• pp.288-298
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• 2008

We introduce new type of networked robot, Ubiquitous Robotic Companion (URC), embedded with ATLAS Service-oriented architecture for enhancing the space sensing capability. URC is a network-based robotic system developed by ETRI. For years of experience in deploying service with ATLAS sensor platform for elder and people with special needs in smart houses, we need networked robots to assist elder people in their successful daily living. Recently, pervasive computing technologies reveals possibilities of networked robots in smart spaces, consist of sensors, actuators and smart devices can collaborate with the other networked robot as a mobile sensing platform, a complex and sophisticated actuator and a human interface. This paper provides our experience in designing and implementing system architecture to integrate URC robots in pervasive computing environments using the University of Florida's ATLAS service-oriented architecture. In this paper, we focus on the integrated framework architecture of URC embedded with ATLAS platform. We show how the integrated URC system is enabled to provide better services which enhance the space sensing of URC in the smart space by applying service-oriented architecture characterized as flexibility in adding or deleting service components of Ubiquitous Robotic Companion.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.58 no.10
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• pp.2059-2063
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• 2009

This paper presents a programmable System-On-a-chip (SoC) for various embedded smart applications that need Neural Network computations. The system is fully implemented into a prototyping platform based on Field Programmable Gate Array (FPGA). The SoC consists of an embedded processor core and a reconfigurable hardware accelerator for neural computations. The performance of the SoC is evaluated using a real image processing application, an optical character recognition (OCR) system.

• IEMEK Journal of Embedded Systems and Applications
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• v.11 no.1
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• pp.15-20
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• 2016

Recently, the u-IT applications for plants and livestock become larger and control of livestock farm environment has been used important in the field of industry. We implemented wireless sensor networks and farm environment automatic control system for applying to the breeding barn environment by calculating the THI index. First, we gathered environmental information like livestock object temperature, heart rate and momentum. And we also collected the farm environment data including temperature, humidity and illuminance for calculating the THI index. Then we provide accurate control action roof open and electric fan in of intelligent farm to keep the best state automatically by using collected data. We believed this technology can improve industrial competitiveness through the u-IT based smart integrated management system introduction for industry aversion and dairy industries labor shortages due to hard work and old ageing.

• IEMEK Journal of Embedded Systems and Applications
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• v.8 no.1
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• pp.11-16
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• 2013

With the development and general use of a variety of Android/iOS-based smart phones and smart pads, the existing e-learning contents need to be changed in such a way that they can be carried out on different smart device platforms. This paper shows what changes are needed for that aim, and, in particular, for the compatibility of different platforms by designing and implementing Android/iOS-based smart learning contents in the form of a hybrid app. This paper will hopefully help you consider what elements are required to develop smart-learning contents on a variety of platforms for mobile devices.

• Proceedings of the Korea Information Processing Society Conference
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• 2013.11a
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• pp.501-504
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• 2013

Smart Device의 성능은 기존 Embedded System과는 비교가 무의미할 만큼 성장하였다. 하지만 실시간으로 외부의 다양한 데이터를 처리하기 위해서는 아직 Smart Device의 자원이 충분하지 않다. 이를 해소하기 위한 방안으로 신호의 처리와 관리는 풍부한 자원을 가진 서버에서 수행하고 스마트 기기는 신호 전달 및 처리 결과 수신의 제한적인 역할을 수행할 수 있는 Cloud System이 필요하며 덧붙여, 시스템을 다양한 계측 분야에서 유연하게 활용하기 위해 여러 종류의 신호들을 다양하게 처리해 줄 수 있는 Cloud Cluster와 이를 관리해줄 Platform의 구축이 이뤄져야한다. 본 연구는 그 중에서도 실시간성을 요하는 모델을 고려하여 Real Time Cloud System Platform의 구축을 위한 기반연구로서, Smart Device와 Senser 간의 Interoperability에 초점을 두고 Proto Type의 구현과 몇몇 세부 쟁점에 대한 실험 및 연구 분석 결과를 포함한다.

• Smart Media Journal
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• v.3 no.4
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• pp.9-15
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• 2014

A virtual platform models a processor core and the peripheral devices constituting the SoC in software. Major companies utilize a variety of platforms for product development with optimal SW+SoC integrated system architecture design and IP reuse based Top-Down design flow using a virtual platform. In this paper, we propose a virtual platform based on OpenRISC, an open source RISC based core. The proposed virtual platform supports high speed emulation of approximately 20 MIPS using DBT (Dynamic Binary Translation).