• Journal of the Society of Disaster Information
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• v.6 no.2
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• pp.87-106
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• 2010

This research focused on the effect of the GIS, uIT, and RS based smart disaster systems. Ubiquitous IT strongly involved in intelligent analysis for the natural disasters. Remote sensing technologies, such as hyper-spectral imaging, MODIS, LiDAR, Radar, and optical imaging processes, can contribute many means of investigation for the natural and unnatural problems in the atmosphere, hydrosphere, and lithosphere. Recent IT trends guides abundant smart solutions, such as automatic sensing using USN, RFID, and wireless communication devices. Smart monitoring systems using intelligent LBSs will produce many ways of checking, processes, and controls for the human safeties. In results, u-smart GIS, uIT, and RS based disaster systems must be using ubiquitous IT involved smart systems using intelligent GIS methods.

• Electronics and Telecommunications Trends
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• v.32 no.6
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• pp.66-72
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• 2017

The frequency range of a radio wave is from 3kHz to 300GHz, and radio technologies use this range to improve the quality of human lives. Radio technologies have entered a new phase of communication. The core infrastructure used as the basis for technologies leading the fourth industrial evolution, such as artificial intelligence, the Internet of Things, autonomous cars/drones, augmented reality, robots, and remote medical diagnoses, is the 5G network. The 5G network enables transmitting and receiving large amounts of data at very high speed. In particular, application technologies with artificial intelligence have been studied, including radar, wireless charging, electromagnetic devices and their effects on humans, EMI/EMC, and microwave imaging. In this study, we present a future radio technology that is needed to prepare for the upcoming industrial revolution and digital transformation.

• Journal of Institute of Control, Robotics and Systems
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• v.9 no.1
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• pp.73-81
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• 2003

An autonomous stair robot recognizing the stair, and climbing up and down the stair by utilizing a robot vision, photo sensors, and appropriate climbing algorithm is introduced. Four arms associated with four wheels make the robot climb up and down more safely and faster than a simple track typed robot. The robot can adjust wheel base according to the stair width, hence it can adopt to a variable width stair with different algorithms in climbing up and down. The command and image data acquired from the robot are transferred to the main computer through RF wireless modules, and the data are delivered to a remote computer via a network communication through a proper data compression, thus, the real time image monitoring is implemented effectively.

• Journal of Industrial Technology
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• v.20 no.B
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• pp.183-188
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• 2000

In this paper, we present a development of automatic fog water collector that operates during fog events. This collector consists of fraction collectors, a wind hall and a fog sensor. When a fog event is begin, then the fog sensor would judge whether it is a fog or not. If a fog is detected, the fog would be gathered by air suction fans, At the same time, the wind direction, the wind velocity, the atmospheric temperature and pressure would be measured and record simultaneously. We are also developing a wireless communication system for the remote control and data analysis to collect, store and process data collected in the automatic fog water collector.

• The Journal of the Korea institute of electronic communication sciences
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• v.12 no.6
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• pp.1127-1134
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• 2017

In this study, the robot arm control system was implemented that is operated by human hands, which can be used in environments that are inaccessible to humans. This function has to be sent to the robot's arms after extracting coordinates of human hands. Through mapping and bluetooth communication we use a leap motion sensor with infrared light and Image recognition sensor.

• Journal of Ship and Ocean Technology
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• v.11 no.1
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• pp.1-10
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• 2007

This study introduces the development of robot fish ROFI 1.1. Today, robot fish is one of strong candidates for next-generation UUV. The present paper describes the design, manufacturing, and operation tests of the robot fish developed at Seoul National University. The very first robot fish in Korea, ROFI 1.1 is operated by a wireless remote controller. Its overall length is 680mm, and weight is 8.8kg. The fore body contains main mechanical and electrical systems and is covered by a FRP skin. The aft body has a mechanical bone system that mimics fish bones, and its skin is made of flexible silicon sponge to allow elastic motion for propulsion. It is found that this mechanical system creates effective and realistic fish-like swimming mode. It is observed that the normal and maximum advancing speeds of ROFI 1.1 are about 1 and 2 m/sec, and the turning radius is between $0.7{\sim}2.5m$, depending on the turning mechanism.

• Journal of Institute of Control, Robotics and Systems
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• v.12 no.9
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• pp.912-917
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• 2006

A strain gauge weight measuring instrumentation system was designed with RF sensor network facilities. In the sensor module system data conversion and a series of signal processing were totally equipped. 16 strain gauges are incoming sensors and each output of the strain gauge was amplified and filtered for proper analog signal processing. Several measuring instrumentation OP amps and general purposed OP amps were used. 12 bits A/D converters converted analog signals to digital bits and a PIC microprocessor controlled the 16 channels of strain gauges. RF RS232 modules were used for wireless communication between the PIC microprocessor and an Ethernet host far a remote sensor monitoring system development.

• Proceedings of the Korean Society of Computer Information Conference
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• 2015.07a
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• pp.85-86
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• 2015

최근 가정 내 화재나 가스 누출 등을 감지하고, 사용자의 스마트 폰으로 알려주며 사용자가 원격에서 홈 시스템들을 제어 할 수 있다. 종래의 시스템은 화재, 가스 누출 등을 센서로 감지하여 고가의 셋톱박스에서 수신하여 사용자의 스마트 폰으로 알려주는 프로세스로 구성된다. 이러한 시스템들은 주로 Home Automation의 일환으로서, 화재 감지를 실시간으로 사용자에게 알려주고 가택 침입 상황을 사용자에게 알려주는 기능을 수행한다. 그런데, 종래의 Home Automation은 구축비용이 상당히 많이 소요되고, 셋톱 박스 역시 고가의 장비로서 일반 가정 내에 보급되기에는 많은 제약이 있는 실정이다. 따라서 보다 간단하고 편리한 시스템의 구축을 통해 보다 많은 가정 내에 홈 시스템이 이용될 필요가 있다. 본 논문에서는 홈 관리 및 모니터링 시스템과 그 방법에 관한 것을 개발 하였으며, 좀 더 구체적으로는 저비용, 고효율의 시스템으로 Actuator 와 스마트 폰을 이용한 홈 모니터링 및 관리를 위하여 Arduino와 Actuator를 이용하여 IoT기반의 탈부착이 자유로운 홈 원격 제어 시스템 개발하였다.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.9 no.4
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• pp.301-308
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• 2009

In the modern life, machines are used for various areas in industries as the advance of science and industrial development has proceeded. In many machines, the rotating machines play an important role in many processes. Therefore, the development of fault diagnosis and monitoring system for rotating machines is required. An ubiquitous sensor network (USN) is a combination of the key computer science and engineering area technology including the wireless network, embedded system hardware and software, communication, real-time system, etc. It collects environmental information to realize a variety of functions. In this work, a data reduction algorithm for USN based remote fault diagnostic system which can be easily applied to previously built factories is proposed. To verify the feasibility of the proposed scheme, some simulations and experiments are executed.

• The Transactions of the Korean Institute of Electrical Engineers P
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• v.56 no.1
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• pp.28-36
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• 2007

Sensor networks are usually composed of tens or thousands of tiny devices with limited resources. Because of their limited resources, many researchers have studied on the energy management in the WSNs(Wireless Sensor Networks), especially taking into account communications efficiency. For effective data transmission and sensor fault detection in sensor network environment, a new remote monitoring system based on PCA(Principle Component Analysis) and AANN(Auto Associative Neural Network) is proposed. PCA and AANN have emerged as a useful tool for data compression and identification of abnormal data. Proposed system can be effectively applied to sensor network working in LEA2C(Low Energy Adaptive Connectionist Clustering) routing algorithms. To verify its applicability, some simulation studies on the data obtained from real WSNs are executed.