• Proceedings of the KIEE Conference
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• 1997.07c
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• pp.930-932
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• 1997

Logic Based Expert System (LBES) has the advantage of real-time inference. This paper shows a LBES for fault diagnosis of power system and proposes the hardware implementation of LBES. Besides, having a power system topology in memory chip, proposed system is apt to be applicable to other system with low changing cost.

• Proceedings of the IEEK Conference
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• 2006.06a
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• pp.1011-1012
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• 2006

In this paper, implementation process of standard platform for T-DMB Receiver in low-cost and small-size are following: First, implement SoC for 32 bit RISC CPU and 16 bit DSP, Hardware H.264 CODEC, Post Processor or Video Display, Audio Processor, I/O Device. Second, implement Real Time OS for flexible application. Third, propose simple architecture for interface with peripheral devices using one-chip processor.

• Proceedings of the IEEK Conference
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• 2002.06a
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• pp.199-202
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• 2002

This paper is about the implementation of Passive RFID(Radio Frequency Identification) tag system using a capacitive method, and explains the design and circuit's structure of this system. Fundamentally the capacitive RFID tag system consists of a tag reader, a passive tag and a host computer. And then this paper shows the system's prototype which analyzes a specification, and suggests the passive RFID system as a new method which manufactures a low cost tag system easily

• 제어로봇시스템학회:학술대회논문집
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• 2001.10a
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• pp.36.3-36
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• 2001

Imitating animal behaviors is one of the research projects in robotics. This paper presents basic concepts and implementation of ant robots. Our ant robots refer to the robots that are designed and built by imitating ants´ behaviors. ant robot is 5${\times}$5${\times}$6 cm3. A special feature of our ant robot is low cost, we spend under 30 $US for this project.

• International Journal of Advanced Culture Technology
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• v.7 no.4
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• pp.313-320
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• 2019

Nowadays, as the availability of tiny, low-cost microcomputer increases at a high level, mobile robots are experiencing remarkable enhancements in hardware design, software performance, and connectivity advancements. In order to control Turtlebot 2, several algorithms have been developed using the Robot Operating System(ROS). However, ROS requires to be run on a high-cost computer which increases the hardware cost and the power consumption to the robot. Therefore, design an algorithm based on low-cost hardware is the most innovative way to reduce the unnecessary costs of the hardware, to increase the performance, and to decrease the power consumed by the computer on the robot. In this paper, we present a path-finding algorithm for TurtleBot 2 based on low-cost hardware. We implemented the algorithm using Raspberry pi, Windows 10 IoT core, and RPLIDAR A2. Firstly, we used Raspberry pi as the alternative to the computer employed to handle ROS and to control the robot. Raspberry pi has the advantages of reducing the hardware cost and the energy consumed by the computer on the robot. Secondly, using RPLIDAR A2 and Windows 10 IoT core which is running on Raspberry pi, we implemented the path-finding algorithm which allows TurtleBot 2 to navigate from the starting point to the destination using the map of the area. In addition, we used C# and Universal Windows Platform to implement the proposed algorithm.

• Proceedings of the KIPE Conference
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• 1997.07a
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• pp.135-140
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• 1997

A highly efficient single-phase/three-phase compatible ac-to-dc converter is proposed and analyzed, which includes three identical single-phase both soft-switched dc-to-dc converter with boost converter as a pre-regulator for input power factor correction (PFC). The proposed converter structure provides a cost reduction and easy implementation of compatibility between single-phase 220V and three-phase 220V/380V with their inputs in delta or wye connections.

• Journal of Institute of Control, Robotics and Systems
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• v.10 no.8
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• pp.734-741
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• 2004

This paper presents a network based fire detection system using CAN, in order to evaluate feasibility of home automation protocol for smart home. In general, because a traditional fire detection system has an analog transmission method with 4-20mA current, it has several shortcomings such as weakness to noise. Hence, as an alternative to the traditional system, this paper presents the architecture of CAN based fire detection system and the design method of CAN communication network. Also, the performance of the suggested system is evaluated through an experimental testbed. Especially, CAN has several advantages such as low cost and easiness of implementation compared to Ethernet or ARCNET, which are low layer of BACNet. Therefore, if CAN is adopted as low layer of BACNet, the home automation system is implemented more effectively.

• IEMEK Journal of Embedded Systems and Applications
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• v.15 no.2
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• pp.51-60
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• 2020

Optical character recognition (OCR) has been studied for decades because it is very useful in a variety of places. Nowadays, OCR's performance has improved significantly due to outstanding deep learning technology. Thus, there is an increasing demand for commercial-grade but affordable OCR systems. We have developed a low-cost, high-performance OCR system for the industry with the cheapest embedded developer kit that supports GPU acceleration. To achieve high accuracy for industrial use on limited computing resources, we chose a state-of-the-art text recognition algorithm that uses an end-to-end deep learning network as a baseline model. The model was then improved by replacing the feature extraction network with the best one suited to our conditions. Among the various candidate networks, EfficientNet-B3 has shown the best performance: excellent recognition accuracy with relatively low memory consumption. Besides, we have optimized the model written in TensorFlow's Python API using TensorFlow-TensorRT integration and TensorFlow's C++ API, respectively.

• 제어로봇시스템학회:학술대회논문집
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• 2004.08a
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• pp.1147-1152
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• 2004

Switched Reluctance Motors have an inexpensive, intrinsic simplicity and low cost that makes them well suited to home appliance and office applications. However the motor suffering with necessity of shaft position sensor, lead to non-linearity of operations. Further, the involvement of static converters deteriorates the operational power factor. Implementation of a sensorless algorithm, can remove the need of position sensors. Also, the drive includes a compact power factor control in the input stage by implementing Zero Current Switching Quasi-Resonant Boost Technology. This paper presented, aims at optimized low line current distortion, high power factor, low cost and a shaft position sensorless Switched Reluctance Motor drive.

• Proceedings of the Korean Society of Computer Information Conference
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• 2015.07a
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• pp.279-281
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• 2015

Location awareness is an important capability for mobile-based indoor services. Those indoor services have motivated the implementation of methods that need high computational load cost and complex mechanisms for positioning prediction. These mechanisms, such as opportunistic sensing and machine learning, require more energy consumption to achieve accuracy. In this paper, we propose the Bluetooth Low Energy indoor zone detection (BLEIZOD) technique. This method exploits the concept of proximity zone to reduce the load cost and complexity. Our proposed method implements the received signal strength indicator (RSSI) function more effectively to gain accuracy and reduce energy consumption.