• Proceedings of the KAIS Fall Conference
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• 2001.05a
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• pp.195-198
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• 2001

본 논문에서는 최근 그 응용이 증가하고 있는 CAN통신 프로토콜을 이용하여 차량내 network개념을 도입하여 차내 각종 전기신호와 센서 입출력을 제어하는 통합 시스템의 개발에 관한 것을 간략히 기술한다. CAN시스템은 최대 1Mbps의 전송 비트율과 에러검출 및 에러영향의 시스템 내로의 한정 등의 기능이 뛰어난 높은 레벨의 통신 안정성을 가지면서 분산 실시간 제어를 효율적으로 지원하는 serial bus communication프로토콜의 하나이다. 본 연구에서 개발된 시스템은 4개의 독립 제어시스템과 관련 소프트웨어로 구성되어 있으며. 각각의 제어시스템간의 정보의 교환은 CAN통신 프로토콜에 안정적으로 이루어지며 자동차의 고급화와 함께 향후 실용화가 기대된다.

• Proceedings of the KIEE Conference
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• 1996.07b
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• pp.768-770
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• 1996

This paper propose neural network which is one of self-organizing techniques. It is composed neural network controller as input signal is error and change of error which is optimal output, and is learned system by using a error back-propagation learning algorithm is one of error mimizing learning methods. In order to achieve practical real time control reduce on learning time, it is applied to load-frequency control of nonlinear power system with using a moment learning method. It is described in such a case considering constraints for a rate of increace generation-rate.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2013.05a
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• pp.385-386
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• 2013

• Journal of Advanced Marine Engineering and Technology
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• v.39 no.5
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• pp.577-585
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• 2015

This paper deals with development of an autopilot system for leisure yacht based on NMEA 2000 network and android platform. The developed system can operate both for manual steering and automatic navigation mode. In automatic steering mode, after manipulation of commands which are NMEA 0183 sentences by android platform, the developed system translates and sends the packets through NMEA 2000 network. Then the controller which is connected to NMEA 2000 network receives the commands and controls the boat's rudder system automatically. The automatic steering mode is achieved by cooperation of two controllers; one for controlling the rudder system, and the other for controlling the vessel's heading. To control the vessel's rudder and heading angle two PID controllers are developed with an adjustable dead-band gain. Also, in order to eliminate the steady-state error occurred by applying dead-band, an integral controller which specifically supervises the system's behavior inside the dead-band area is developed. In this paper, at the first stage, simulations are accomplished using computer in order to examine the feasibility of the proposed based on simulation results. In the next step, the system on a real hydraulic steering model is implemented and at the end the performance examination by implementing it on a real boat and doing test navigation is executed.

• Journal of Institute of Control, Robotics and Systems
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• v.22 no.2
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• pp.147-152
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• 2016

This paper proposes a new TPC (Transmission Priority Change) algorithm which is used to diagnose failures of a CAN (Controller Area Network) based network system for the oil tank monitoring. The TPC algorithm is aimed to increase the total amount of data transmission and to minimize the latency for an urgent message by changing transmission priority. The urgency of the data transmission has been determined by the conditions of sensors. There are multiple sensors inside of the oil tank, such as temperature, valve, pressure and level sensors. When the sensors operate normally, the sensory data can be collected through the CAN network by the monitoring system. However when there is a dangerous situation or failure situation happened at a sensor, the data need to be handled quickly by the monitoring system, which is implemented by using the TPC algorithm. The effectiveness of the TPC algorithm has been verified by the real experiments. In addition, this paper introduces a method that people can figure out the condition of oil tanks and also can perform the fault diagnosis in real-time by using transmitted packet data. By applying this TPC algorithm to various industries, the convenience and reliability of multiple sensors network system can be improved.

• Journal of IKEEE
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• v.27 no.4
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• pp.524-530
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• 2023

This paper proposes an efficient algorithm to detect CAN (Controller Area Network) bus attack based on a lightweight CNN (Convolutional Neural Network), and an IDS(Intrusion Detection System) was designed, implemented, and verified with FPGA. Compared to conventional CNN-based IDS, the proposed IDS detects CAN bus attack on a frame-by-frame basis, enabling accurate and rapid response. Furthermore, the proposed IDS can significantly reduce hardware since it exploits only one convolutional layer, compared to conventional CNN-based IDS. Simulation and implementation results show that the proposed IDS effectively detects various attacks on the CAN bus.

• 제어로봇시스템학회:학술대회논문집
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• 2000.10a
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• pp.549-549
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• 2000

In the previous work, we dealt with a traffic analysis of network-based control system and its architecture using the CAN protocol. It is difficult to determine an optimal network architecture for a specific system. In this paper, we propose the architecture of network-based control system applicable to a specific AGV system with manipulator arms. We define the fixed number of periodic messages to be occurred in this system. In the proposed system architecture, we analyse its traffic for the real-time communication of all messages, determine the optimal sampling period of an analog sensor to be satisfied with the required specification and the number of possible sensors to be added through simulation.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.11 no.2
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• pp.205-212
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• 2011

The high performance intelligent robots have become to use a lot of sensors, actuators and controllers which are connected via bus-type networks while the point to point connection was widely used in-robot networks of existing robots. The bus topology makes the robot system share data internally and it can also reduce the weight of the robot because of smaller wiring harness. The CAN is one of serial bus communication protocols typically used for in-vehicle networks and now it can also be used for in-robot networks because of its low cost and reliability. A performance evaluation system for this type of networked system is developed to analyze the real-time operation and the reliability of a serial-bus network, and the usefulness of the developed evaluation system is shown by some experiments for a network of many CAN nodes.

• Journal of the Institute of Electronics Engineers of Korea SC
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• v.49 no.2
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• pp.1-9
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• 2012

In this paper, we design and implement a DCS (Distributed Control System) based on dual field-bus for ship engine. For monitoring and controlling the condition of the ship engine, an implemented DCS is consisted of two-tier communication structure by using CAN (Controller Area Network) and MODBUS protocols. The first-tier is consisted of CAN protocol for sharing the condition of the ship engine by each implemented monitoring system. By using MODBUS protocol, the second-tier is used for communicating the monitoring data from an implemented DCS to AMS(Alarm Monitoring System). We verified and tested our scheme and implemented DCS by KR (Korea Register) technical rules through experimental tests.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.26 no.3
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• pp.355-366
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• 2022

This paper proposes a microcode-based neural network accelerator controller for artificial intelligence accelerators that can be reconstructed using a programmable architecture and provide the advantages of low-power and ultra-small chip size. In order for the target accelerator to support various neural network models, the neural network model can be converted into microcode through microcode compiler and mounted on accelerator to control the operators of the accelerator such as datapath and memory access. While the proposed controller and accelerator can run various CNN models, in this paper, we tested them using the YOLOv2-Tiny CNN model. Using a system clock of 200 MHz, the Controller and accelerator achieved an inference time of 137.9 ms/image for VOC 2012 dataset to detect object, 99.5ms/image for mask detection dataset to detect wearing mask. When implementing an accelerator equipped with the proposed controller as a silicon chip, the gate count is 618,388, which corresponds to 65.5% reduction in chip area compared with an accelerator employing a CPU-based controller (RISC-V).