• Title/Summary/Keyword: Embedded Network System

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Web based control modules Using LonWorks/Ethernet Server for Control a large Scale Renewable Energy System in Building (빌딩용 신.재생에너지시스템 제어를 위한 LonWorks기반 원격 제어모듈 개발)

  • Hong, Wonl-Pyo
    • Proceedings of the KIEE Conference
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    • 2008.07a
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    • pp.1706-1711
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    • 2008
  • This paper proposes a new Web based-control concept & design method and implementation of LonWorks network system for a large scale renewable energy energy control and monitoring system in building. The Experimental LonWorks network system using LonWorks/Ethernet(Web) server is designed and fabricated. This article addresses issues in architecture of LonWorks/Ethernet sever, embedded processors architecture for converting LonTalks protocol to Modbus protocol and software, and Internet technologies. It is also verified that the multi-induction motor control and monitoring system using LonWorks/Ethernet server have available, interoperable, reliable performance characteristics from the experimental results, Especially, The seamless integration of TCP/IP networks with control networks allows access to any control point from anywhere. Thus, the results provide a available technical data for remote distributed control system of industrial and buildings field.

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Implementation of the web based environment monitoring system supporting the NMS protocol (NMS를 지원하는 웹기반 환경 감시 시스템의 구현)

  • Bae, Kwang-Jin;Yim, Kang-Bin
    • Proceedings of the IEEK Conference
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    • 2006.06a
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    • pp.831-832
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    • 2006
  • In this paper, we introduce a canonical framework of the large-scaled web-based sensor gateway and practically implement it as the environment monitoring system. The system consists of a central management server, up to 250 local embedded subsystems and up to 250 sensor or actuator nodes for each subsystem. The node information is gathered periodically through a well-defined protocol on the sensor network and converted to the web contents and the SNMP MIB objects according to its data type. The MIB objects are well-defined and include system, network, sensor, actuator and alarm specific data classes. Because there is an increasing trend that a large number of sites are willing to adapt unmanned sensing and control, the developed system will play a key role to efficiently manage a large scale sensor networked system such as environment monitoring systems or countermeasure systems against disaster and calamities.

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Experimental Studies of Balancing an Inverted Pendulum and Position Control of a Wheeled Drive Mobile Robot Using a Neural Network (신경회로망을 이용한 이동로봇 위의 역진자의 각도 및 로봇 위치제어에 대한 연구)

  • Kim, Sung-Su;Jung, Seul
    • Journal of Institute of Control, Robotics and Systems
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    • v.11 no.10
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    • pp.888-894
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    • 2005
  • In this paper, experimental studies of balancing a pendulum mounted on a wheeled drive mobile robot and its position control are presented. Main PID controllers are compensated by a neural network. Neural network learning algorithm is embedded on a DSP board and neural network controls the angle of the pendulum and the position of the mobile robot along with PID controllers. Uncertainties in system dynamics are compensated by a neural network in on-line fashion. Experimental results show that the performance of balancing of the pendulum and position tracking of the mobile robot is good.

The Design and Implementation of a Network-based Stand-alone Motion System

  • Cho, Myoung-Chol;Jeon, Jae-Wook
    • 제어로봇시스템학회:학술대회논문집
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    • 2003.10a
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    • pp.865-870
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    • 2003
  • A motion controller has been used variously in industry such as semiconductor manufacture equipment, industrial robot, assembly/conveyor line applications and CNC equipment. There are several types of controller in motion control. One of these is a PC-based motion controller such as PCI or ISA, and another is stand-alone motion controller. The PC bus-based motion controller is popular because of improving bus architectures and GUI (Graphic User Interface) that offer convenience of use to user. There are some problems in this. The PC bus-based solution allows for only one of the form factors, so it has a poor flexibility. The overall system package size is bigger than other motion control system. And also, additional axes of control require additional slot, however the number of slots is limited. Furthermore, unwieldy and many wirings come to connect plants or I/O. The stand-alone motion controller has also this limit of axes of control and wiring problems. To resolve these problems, controller must have capability of operating as stand-alone devices that resides outside the computer and it needs network capability to communicate to each motion device. In this paper, a network-based stand-alone motion system is proposed. This system integrates PC and motion controller into one stand-alone motion system, and uses CAN (Controller Area Network) as network protocol. Single board computer that is type of 3.5" FDD form factor is used to reduce the system size and cost. It works with Windows XP Embedded as operating system. This motion system operates by itself or serves as master motion controller that communicates to slave motion controller. The Slave motion controllers can easily connect to master motion system through CAN-network.

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TeGCN:Transformer-embedded Graph Neural Network for Thin-filer default prediction (TeGCN:씬파일러 신용평가를 위한 트랜스포머 임베딩 기반 그래프 신경망 구조 개발)

  • Seongsu Kim;Junho Bae;Juhyeon Lee;Heejoo Jung;Hee-Woong Kim
    • Journal of Intelligence and Information Systems
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    • v.29 no.3
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    • pp.419-437
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    • 2023
  • As the number of thin filers in Korea surpasses 12 million, there is a growing interest in enhancing the accuracy of assessing their credit default risk to generate additional revenue. Specifically, researchers are actively pursuing the development of default prediction models using machine learning and deep learning algorithms, in contrast to traditional statistical default prediction methods, which struggle to capture nonlinearity. Among these efforts, Graph Neural Network (GNN) architecture is noteworthy for predicting default in situations with limited data on thin filers. This is due to their ability to incorporate network information between borrowers alongside conventional credit-related data. However, prior research employing graph neural networks has faced limitations in effectively handling diverse categorical variables present in credit information. In this study, we introduce the Transformer embedded Graph Convolutional Network (TeGCN), which aims to address these limitations and enable effective default prediction for thin filers. TeGCN combines the TabTransformer, capable of extracting contextual information from categorical variables, with the Graph Convolutional Network, which captures network information between borrowers. Our TeGCN model surpasses the baseline model's performance across both the general borrower dataset and the thin filer dataset. Specially, our model performs outstanding results in thin filer default prediction. This study achieves high default prediction accuracy by a model structure tailored to characteristics of credit information containing numerous categorical variables, especially in the context of thin filers with limited data. Our study can contribute to resolving the financial exclusion issues faced by thin filers and facilitate additional revenue within the financial industry.

The Implement of Intelligent Home Network System on Smart Phone (스마트 폰을 이용한 지능형 홈 네트워크 시스템 구현)

  • Lee, Tae-Woong;Son, Cheol-Su;Kim, Won-Jung
    • The Journal of the Korea institute of electronic communication sciences
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    • v.6 no.4
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    • pp.505-509
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    • 2011
  • Home network system makes it available for controlling inside home and for controlling from outside as well with personal computer, cellular phone or smart phone, by connecting diverse information equipments within home such as lighting, gas, and heating equipments with network. Integrated server and wall-pad, which form home network system, have demerits as saying of being high-priced and of needing to implement network infrastructure. This study suggested the intelligent home network system, which uses smart phone of supplementing these merits of home network system. It substituted high-specification input & output equipment in the currently and widely supplied smart phone for display and touch screen, which are user interface part of the existing wall-pad, and implemented the common wall-pad with low cost by concentrating management and control function of home network on smart phone.

Design of Internet Based DGPS Mobile Reference Station (인터넷 기반 DGPS 이동 기준국 설계)

  • Kim Jeong Won;Hwang Dong-Hwan
    • Journal of Institute of Control, Robotics and Systems
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    • v.12 no.2
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    • pp.186-193
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    • 2006
  • This paper proposes a DGPS (Differential GPS) mobile reference station. The proposed systems can provide user with real-time correction data when the internet connention is possible. Since the GPS receiver part and network hardware are designed in a module, it can be easily moved and fixed. In order to verify the proposed system, several tersts have been carried out and the test results show the validity of the proposed system.

An Implementation of Sound Enhanced MPEG-1 Audio Decoder on Embedded OS Platform (음질향상 알고리즘을 내장한 MPEG-1 오디오 디코더의 Embedded OS 플랫폼에의 구현)

  • Hong, Sung-Min;Park, Kyu-Sik
    • Journal of Korea Multimedia Society
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    • v.10 no.8
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    • pp.958-966
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    • 2007
  • In this paper, we implement a sound-enhanced MPEG-1 audio decoder on embedded OS Platform. Low bit rate lossy audio codecs such as MP3, OGG, and AAC for mitigating the problems in storage space and network bandwidth suffer a major common problem such as a loss of high frequency fidelity of audio signal. This high frequency loss will reproduce only a band-limited low-frequency part of audio in the standard CD-quality audio. In order to overcome this problem, we embedded a sound enhancement algorithm into the MPEG-1 audio decoder and then the algorithms optimized according to the characteristic of the MPEG-1 audio layer I, II, III were implemented on an embedded OS platform. From the experimental results with spectrum analysis and listening test, we confirm the superiority of the proposed system compared to the standard MPEG-1 audio decoder.

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Design of a Remote Distributed Embedded System Using the Internet and CAN (인터넷과 CAN을 이용한 원격 분산 Embedded System 설계)

  • Lee, Hyun-suk;Lim, Jae-nam;Park, Jin-woo;Lee, Jang-Myung
    • Journal of Institute of Control, Robotics and Systems
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    • v.8 no.5
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    • pp.434-437
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    • 2002
  • A small size and light-weight DSP board is newly designed for a real time multi-distributed control system that overcomes constraints on time and space. There are a variety of protocols for a real-time distributed control system. In this research, we selected CAN for the multi distributed control, which was developed by the BOSCH in the early 1980's. If CAN and Internet are connected together, the system attains the characteristics of a distributed control system and a remote control system simultaneously. To build such a system. The TCP/IP-CAN Gateway which converts a CAN protocol to TCP/IP protocol and vice verse, was designed. Moreover, the system is required to be small and light-weighted for the high mobility and cost effectiveness. The equipment in remote place has a TCP/IP-CAN Gateway on itself to be able to communicate with another systems. The received commands in the remote site are converted from TCP/IP protocol to CAN protocol by the TCP/IP-CAN Gateway in real time. A simulation system consists of a TCP/IP-CAN Gateway in remote place and a command PC to be connected to Ethernet.

A Study on the Implementation of WBAN-Based Medical Gateway (WBAN 기반의 의료용 게이트웨이 구현에 관한 연구)

  • Park, Yong-Min
    • Journal of Advanced Navigation Technology
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    • v.18 no.6
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    • pp.640-647
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    • 2014
  • The WBAN technology means a short distance wireless network which provides each device's interactive communication by connecting devices inside and outside of body located within 3 meters. It is necessary to develop core technology that the WBAN middleware and application service for WBAN sensor network. A device for gathering patient's biometric information was used zigbex of Hanbaek electronics and we designed the message structure which is collected the biometric information. The gateway design and implementation for the WBAN environment. The embedded system was HBE-empos II of Hanbaek electronics and the WBAN network is implemented to BNC and BN that used for hbe-ubi-zigbex. It was confirmed that the proposed sensor gateway could be used for the interconnection of the proposed system with other networks.