• Journal of the Institute of Electronics Engineers of Korea SC
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• v.49 no.3
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• pp.1-11
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• 2012

Data association plays an important role in intelligent systems. This paper presents the Bayesian formulation of data association and its applications to intelligent systems. We first describe the Bayesian formulation of data association developed for solving multi-target tracking problems in a cluttered environment. Then we review applications of data association in intelligent systems, including surveillance using wireless sensor networks, identity management for air traffic control, camera network localization, and multi-sensor fusion.

• Tribology and Lubricants
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• v.24 no.1
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• pp.34-43
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• 2008

In this paper, an actively controlled aerostatic bearing is studied to overcome the defects of air bearing such as low stiffness and damping coefficients. The actively controlled aerostatic bearing is composed of aerostatic bearings, non-contact type of displacement sensors, piezoelectric actuators and controllers. The cylindrical capacitance sensor (CCS) is used as the displacement sensor. The reason for using CCS instead of the commercial gap sensor is that it can give us the pure error motion of the spindle because it removes the roundness error or the geometric errors in the spindle. The controller is designed by the state space equation and quadratic optimal control theory. The characteristic data of the actively controlled aerostatic bearing system in the frequency domain are presented and the stiffness and damping coefficients of the bearing are mentioned. This paper shows the possibility to reduce the motion error up to 6000 rpm.

• The KSFM Journal of Fluid Machinery
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• v.13 no.2
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• pp.54-58
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• 2010

The most recent, Vacuum Pipeline for Waste Collecting System, to collect MSW(Municipal Solid Waste) efficiently, is used environmental preservative, to emit less air pollution, in New City. However, it is difficult to monitor broken pipe and filled mass of Waste, because Vacuum Pipeline is laid underground. Therefore, FBG, optical fiber sensor, is used to inspect the temperature change and longitudinal strain to take proper action for unusual situation. I have need to accumlate sensor data of district control. I hope to be used Vacuum Pipeline more than 30 years in New City.

• 제어로봇시스템학회:학술대회논문집
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• 2000.10a
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• pp.385-385
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• 2000

In this paper, We presents the development of an automatic fog water collector that operates during fog events. This collector consists of fraction collectors, a wind hall and a fog sensor. If a fog event occurred, then the fog sensor wouldjudge whether it is a fog or not. If the fog sensor judged the fug, then the fog in the air would be rucked by suction fans. At the same time, the wind direction, the wind velocity, the atmospheric temperature and the atmospheric pressure would be measured and recorded. We are also developing a wireless communication system for the remote control and the remote data analysis in order to collect, store and process the data collected in the automatic fog water collector.

• 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.

• Proceedings of the National Institute of Ecology of the Republic of Korea
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• v.2 no.4
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• pp.298-304
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• 2021

This study aimed to determine the applicability of drones and air quality sensors in environmental monitoring of air pollutant emissions by developing and testing two new methods. The first method used orthoimagery for precise monitoring of pollutant-emitting facilities. The second method used atmospheric sensors for monitoring air pollutants in emissions. Results showed that ground sample distance could be established within 5 cm during the creation of orthoimagery for monitoring emissions, which allowed for detailed examination of facilities with naked eyes. For air quality monitoring, drones were flown on a fixed course and measured the air quality in point units, thus enabling mapping of air quality through spatial analysis. Sensors that could measure various substances were used during this process. Data on particulate matter were compared with data from the National Air Pollution Measurement Network to determine its future potential to leverage. However, technical development and applications for environmental monitoring of pollution-emitting facilities are still in their early stages. They could be limited by meteorological conditions and sensitivity of the sensor technology. This research is expected to provide guidelines for environmental monitoring of pollutant-emitting facilities using drones.

• Journal of Advanced Navigation Technology
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• v.19 no.6
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• pp.515-523
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• 2015

The air traffic control service in the domestic airports and approach control centers is provided using data from flight plan and a variety of surveillance sensors such as SSR, ADS-B and MLAT, etc. The physical connection methods and data types of the sensors are various, as so using these data directly may cause a lot of cost in development and maintenance of air traffic control equipment. As a method for solving such a problem, we propose a system that can convert the data from the heterogeneous sensors to the unified format which can be processed by the air traffic control devices. In this paper, the analysis results for the physical characteristics and data formats of the typical surveillance sensors are described. Also, the system design and the system implementation result for the multi-sensor interface system to interoperate the sensors are explained in detail.

• Journal of Sensor Science and Technology
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• v.17 no.3
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• pp.168-177
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• 2008

An indoor environmental monitoring system using IEEE 802.15.4 based wireless sensor network is proposed to monitor the amount of pollutant entering to the room from outside and also the amount of pollutant that is generated in indoor by the building materials itself or human activities. Small-size, low-power wireless sensor node and low power electrochemical sensor board is designed to measure the condition of indoor environment in buildings such as home, offices, commercial premises and schools. In this paper, two query models, the broadcasting query protocol and flooding query protocol, were designed and programmed as a query-based routing protocol in wireless sensor network for an environment monitoring system. The flooding query routing protocol in environment monitoring is very effective as a power saving routing protocol and reliable data transmission between sensor nodes.

• Journal of Advanced Navigation Technology
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• v.22 no.6
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• pp.551-556
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• 2018

In recent years, drones have been used to measure aircraft flights data and weather information. Related applications include the measure for low-altitude atmospheric data, the measure for atmospheric fine dust, and the measure for air pollution. However, the mounting position of the atmospheric measurement sensor should be mounted by considering the effects of propeller flow, the EMI effects, and the changes in the weight of the drone. Among these, the upper flow of the propeller affects the wind speed and direction, so the optimal position should be selected. This study deals with the proper height of the atmospheric data measurement sensor. Through the flow analysis, we study the flow characteristics of around a drone and suggest the proper sensor mounting height.

• KIPS Transactions on Software and Data Engineering
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• v.6 no.9
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• pp.457-464
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• 2017

Indoor air quality analysis is conducted to understand abnormal atmospheric phenomena and the external factor affecting indoor air quality. By recording indoor air quality measurements periodically, we are able to observe patterns in air quality. However, it difficult to predict the number of potential parameters, set parameters for a given observation and find the coefficients. Moreover, the results are time-dependent. Thus to address these issues, we introduce a microchip capable of periodically recording indoor air quality and a model that estimates atmospheric changes based on time series data.