• Journal of the Korean earth science society
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• v.40 no.4
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• pp.329-339
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• 2019

Arctic warming is a global issue. The sea ice in the Arctic plays a crucial role in the climate system. We thought that a recent abnormality in many countries in the northern hemisphere could be related to the effects of shrinking sea ice in the Arctic. Many research groups monitor sea ice in the Arctic for climate research. Satellite remote sensing is an integral part of Arctic sea ice research due to the Arctic's large size, making it difficult to observe with general research equipment, and its extreme environment that is difficult for humans to access. Along with monitoring recent weather changes, Korea scientists are conducting polar remote sensing using a Korean satellite series to actively cope with environmental changes in the Arctic. The Korean satellite series is known as KOMPSAT (Korea Multi-Purpose Satellite, Korean name is Arirang) series, and it carries optical and imaging radar. Since the organization of the Satellite Remote Sensing and Cryosphere Information Center in Korea in 2016, Korean research on and monitoring of Arctic sea ice has accelerated rapidly. Moreover, a community of researchers studying Arctic sea ice by satellite remote sensing increased in Korea. In this article, we review advances in Korea's remote sensing research for the polar cryosphere over the last several years. In addition to satellite remote sensing, interdisciplinary studies are needed to resolve the current limitations on research on climate change.

• IEMEK Journal of Embedded Systems and Applications
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• v.8 no.4
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• pp.205-212
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• 2013

In recent, the demand of Unmanned Aerial Vehicles (UAVs) that can autonomous navigation and remote control has been increased in military, civil and commercial field. Particularly, existing researches focused on autonomous navigation method based on vanish point and remote control method based on event processing in indoor environments. However, the existing methods have some problems. For instance, a detected vanish point in intersection point has too much detection errors. In addition, the delay is increased in existing remote control system for processing images in real time. Thus, we propose improved vanish point algorithm by removing detection errors in intersection point. We also develop a remote control system with android platform by separating flying control and image process. Finally, we compare the proposed methods with existing methods to show the improvement of our approaches.

• 제어로봇시스템학회:학술대회논문집
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• 1999.10a
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• pp.61-64
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• 1999

In this paper, a technique to expand the Input and Output (I/O) of the programmable logic controller (PLC) using remote I/O module is presented. The controller and the remote I/O module should have the same protocol and are interfaced through RS 485. Each remote I/O module consists of 16 digital input and 16 digital output, and the maximum of 32 remote I/O module can be linked to one controller. The remote I/O is programmed for interrupt request to controller independently. Therefore, there is no affect to the scan time of the controller. Using this technique, the PLC can be efficiently applied to the several hundred meters different control points such as the ON-OFF control fur the agriculture farm, the building automation system, a multi group of machine control.

• Proceedings of the KIEE Conference
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• 2000.07b
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• pp.1315-1317
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• 2000

In this paper, a solution of remote manager system for power plant was introduced. In conventional remote control system computer or adapter are need to communicate with manager computer. As the number of managed power installations increases, the remote management system is going to be complicated and expensive. To solve the problem, a Multi-functional Board for power plant is developed. The Multi-functional Board has a both function of remote management and communication in LAN. This system will be hope to decrease the cost of remote management.

• Proceedings of the KSRS Conference
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• 2003.11a
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• pp.1171-1173
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• 2003

There are two datasets to estimate the area-mean and time-mean precipitation rate. For one, an array of surface rain gauges represents a series of rods that have to the time axis of the volume. And another data is that of a remote sensing make periodic overpasses at a fixed interval such as radar. The problem of optimally combining data from surface rain gauge data and remote sensed data is considered. In order to combining remote sensed data with Automatic Weather Station (AWS), we use optimal weighting method, which is similar to the method of [2]. They had suggested optimal weights that minimized value of the mean square error. In this paper, optimal weight is evaluated for the cases such as Changma, summer Monsoon, Typhoon and orographic rain.

• Proceedings of the KSRS Conference
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• 2003.11a
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• pp.1332-1333
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• 2003

• Korean Circulation Journal
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• v.53 no.11
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• pp.727-743
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• 2023

Although cardiac rehabilitation (CR) has been shown to improve exercise tolerance and prognosis in patients with cardiovascular diseases, there remains low participation in outpatient CR. This may be attributed to the patients' busy schedules and difficulty in visiting the hospital due to distance, cost, avoidance of exercise, and severity of coronary disease. To overcome these challenges, many countries are exploring the possibility of remote CR. Specifically, there is increasing attention on the development of remote CR devices, which allow transmission of vital information to the hospital via a remote CR application linked to a wearable device for telemonitoring by dedicated hospital staff. In addition, remote CR programs can support return to work after hospitalization. Previous studies have demonstrated the effects of remote CR on exercise tolerance. However, the preventive effects of remote CR on cardiac events and mortality remain controversial. Thus, safe and effective remote CR requires exercise risk stratification for each patient, telenursing by skilled staff, and multidisciplinary interventions. Therefore, quality assurance of telenursing and multi-disciplinary interventions will be essential for remote CR. Remote CR may become an important part of cardiac management in the future. However, issues such as cost-effectiveness and insurance coverage still persist.

• 제어로봇시스템학회:학술대회논문집
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• 2000.10a
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• pp.324-324
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• 2000

This paper presents a CAN-based control system, which supports tole-operations over the Internet. As a result, CAN-based control systems are opened up for remote control, monitoring and maintenance using WWW-technology. Most of the system is written in JAVA because it is small, powerful package and can easily be reused in the whole system on different platforms and implemented in embedded system. The effectiveness of proposed method is demonstrated through the experiments using a CAN-based manipulator, which allow remote access for Web-based Java clients.

• Proceedings of the Korean Society of Crop Science Conference
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• 2005.08a
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• pp.22-46
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• 2005

Spatial and timely information on crop and filed conditions is one of the most important basics for rational and efficient planning and management in agriculture. Remote sensing, GIS, and modeling are powerful tools for such applications. This paper presents an overview of the state of the art in remote sensing of crop and field conditions with some case studies. It is also shown that a synergistic linkage between process-based models and remote sensing signatures enables us to estimate the multiple crop/ecosystem variables at a dynamic mode. Remotely sensed information can greatly reduce the uncertainty of simulation models by compensating for insufficient availability of data or parameters. This synergistic approach allows the effective use of infrequent and multi-source remote sensing data for estimating important ecosystem variables such as biomass growth and ecosystem $CO_2$ flux. This paper also shows a geo-spatial information system that enables us to integrate, search, extract, process, transform, and calculate any part of the data based on ID#, attributes, and/or by river-basin boundary, administrative boundary, or boundaries of arbitrary shape/size all over Japan. A case study using the system demonstrates that the nitrogen load from fertilizer was closely related to nitrate concentration of groundwater. The combined use of remote sensing, GIS and modeling would have great potential for various agro-ecosystem applications.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2016.05a
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• pp.533-536
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• 2016

In this paper, we take advantage of the SEN Remote HMI App as a tool based on Raspberry Pi server for the smart home control. This is a smart home control system built in an open and a low-cost Raspberry Pi as a server, and take advantage of Android-based graphical programming software SEN Remote HMI. If you build it based system expansion and additional works interface via the Raspberry Pi and Arduino, it is expected to be extended to the Internet of Things (IoT) enabling environment for the implementation of smart home.