• 제어로봇시스템학회:학술대회논문집
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• 2000.10a
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• pp.450-450
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• 2000

This paper presents a software design simulation method for controlling multiple mechanism carrier system (MMCS), which is mainly used in a wrapping machine or a case packing machine. This method uses a mechanical tool-work interactive model proposed in this paper, in order to represent the interactive behaviors between some tools and a work driven by their tools, in which low effect states of a work are defined. Based on this method, a 3-D simulation system has been built. It consists of shape modeling of each device, behavior definitions of tools, and control logic using if-then expression. By applying it to a ase packing machine having about 30 mechanical devices and 100 inputs/outputs for control, the effectiveness of this method has been shown in general verification of control logic specification in an early software design phase and the possibility of smooth communication tool between mechanical and software designers.

• Proceedings of the KSR Conference
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• 2008.06a
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• pp.249-254
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• 2008

The objective of this study is the developement of real time automatic incline measurement using high accuracy digital datalogger for safety and maintence of railway construction sites. For the replacement of current 16 bit analog/digital converter, Digital datalogger system using 24 bit analog/digital converter is studied for the first time with in a country. Therefore data communication method and analyzing program of automatic measurement data is developed for the automatic high accuracy digital datalogge system. The results of this study will be using real time automatic incline measurement of railway structures.

• Proceedings of the KSR Conference
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• 2008.11b
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• pp.1006-1011
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• 2008

The objective of this study is the developement of real time automatic dynamic measurement using high accuracy digital datalogger for safety and maintence of railway construction sites. For the replacement of current 16 bit analog/digital converter, Digital datalogger system using 24 bit analog/digital converter is studied for the first time with in a country. Therefore data communication method and analyzing program of automatic measurement data is developed for the automatic high accuracy digital datalogger system. The results of this study will be using real time automatic dynamic measurement of railway structures.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.16 no.2
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• pp.131-136
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• 2016

An appropriate evaluation on learner's pronunciation has been an important part of foreign language education. The learners should be evaluated and receive proper feedback for pronunciation improvement. Due to the cost and consistency problem of human evaluation, automatic pronunciation evaluation system has been studied. The most of the current automatic evaluation systems utilizes underlying Automatic Speech Recognition (ASR) technology. We suggest in this work to evaluate learner's pronunciation accuracy and fluency in word-level using the ASR and non-native teacher's speech model. Through the performance evaluation on our system, we confirm the overall evaluation result of pronunciation accuracy and fluency actually represents the learner's English skill level quite accurately.

• KSCI Review
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• v.14 no.2
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• pp.117-122
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• 2006

In this paper, we designed and implemented the DCS(Distributed Control System) terminal remote monitoring board for build total unified management system based wireless communication on automatic control system fields. Also, it tested and evaluated for check an usability and performance. The board monitored relay and fuse status at power management room real-time. Therefore, we expected economic effects extend relay life-time that pre-detected errors and prevented relay fault.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.11 no.1
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• pp.93-102
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• 2011

In this paper we describe an efficient and easy to use network monitoring system which can identify network configuration automatically by means of capturing and analyzing the ARP broadcasting packets. After identifying network nodes, it gathers detail information of each node such as NETBIOS name and number of hop counts using ICMP and then shows subnet configuration with graphical method. This monitoring system also has a subset of intrusion detection system that can monitor any port scanning trial. With this automatic network configuration functions, it helps to lessen address keeping track overhead which is crucial for network monitoring so that it provides efficient network management.

• International Journal of Internet, Broadcasting and Communication
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• v.16 no.2
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• pp.50-58
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• 2024

Body temperature plays an important role in medicine, some diseases are characterized by changes in human body temperature. Monitoring body temperature also allows doctors to monitor the effectiveness of medical treatments. Accurate body temperature measurement is key to detecting fevers, especially fevers related to infection with the SARS-CoV-2 virus that caused the recent Covid-19 pandemic in the world. The solution of measuring body temperature using a thermal camera is fast but has a high cost and is not suitable for some organizations with difficult economic conditions today. Use a medical thermometer to measure body temperature directly for a slow rate, making it easier to spread disease from person to person. In this paper, we propose a completely automatic body temperature measurement system that can adjust the height according to the person taking the measurement, has a measurement logging system and is monitored via the internet. Experimental results show that the proposed method has successfully created a fully automatic human body measurement system. Furthermore, this research also helps the school's scientists and students gain more knowledge and experience to apply Internet of Things technology in real life.

• Proceedings of the IEEK Conference
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• 2000.11a
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• pp.421-424
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• 2000

In this paper, We presented overview and characteristics of ITS(Intelligent Transport System) DSRC(Dedicated Short Range Communication) system that was introduced to the basic installation for ITS service and proposed system architecture and implementation methods to realize automatic collection of parking charge using DSRC system.

• Journal of information and communication convergence engineering
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• v.1 no.3
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• pp.157-162
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• 2003

We propose a learning method for improving the performance of the backpropagation algorithm. The proposed method is using a fuzzy logic system for automatic tuning of the learning rate of each weight. Instead of choosing a fixed learning rate, the fuzzy logic system is used to dynamically adjust the learning rate. The inputs of fuzzy logic system are delta and delta bar, and the output of fuzzy logic system is the learning rate. In order to verify the effectiveness of the proposed method, we performed simulations on the XOR problem, character classification, and function approximation. The results show that the proposed method considerably improves the performance compared to the general backpropagation, the backpropagation with momentum, and the Jacobs'delta-bar-delta algorithm.

• Journal of the Korean Society of Manufacturing Technology Engineers
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• v.20 no.2
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• pp.207-213
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• 2011

In this paper, we present a study on the real-time implementation of mobile robot to which the interactive voice recognition technique is applied. The speech command utters the sentential connected word and asserted through the wireless remote control system. We implement an automatic distance speech command recognition system for voice-enabled services interactively. We construct a baseline automatic speech command recognition system, where acoustic models are trained from speech utterances spoken by a microphone. In order to improve the performance of the baseline automatic speech recognition system, the acoustic models are adapted to adjust the spectral characteristics of speech according to different microphones and the environmental mismatches between cross talking and distance speech. We illustrate the performance of the developed speech recognition system by experiments. As a result, it is illustrated that the average rates of proposed speech recognition system shows about 95% above.