• Proceedings of the KSRS Conference
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• 2005.10a
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• pp.398-401
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• 2005

Droughts have been an important factor in disaster management in Korea because she has been grouped into nations of lack of water. Satellite imagery can be applied to droughts monitoring because it can afford periodic data for large area for long time. This study aims to develop a method to analyze droughts in large area using satellite imagery. We estimated evapotranspiration in large area using NDVI data acquired from satellite imagery. For satellite imagery, we dealt with MODIS data operated by NASA. As the result of this study, we improved the usability of satellite imagery, especially in drought analysis.

• IEMEK Journal of Embedded Systems and Applications
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• v.2 no.2
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• pp.107-115
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• 2007

In general, wireless sensor networks composed of many nodes which are located in ad. hoc environment and send the gathered data to sink node support only one way traffic. In those cases, it is not possible to send commands to nodes to react for exceptional events because the networks can not deliver downward data and the nodes run in pre-assigned fixed schedule. This paper expands the WSLP to bidirectional WSLP and implements a fire monitoring system on it, and shows the feasibility of bidirectional USN by demonstrating the usability of the process of reaction to a fire in the implemented fire monitoring system.

• Proceedings of the KSRS Conference
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• 2008.10a
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• pp.80-83
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• 2008

Diverse researches using vegetation index have been carried out to monitor spring droughts that have frequently occurred since 2000. The strength of the drought monitoring using vegetation index lies in that it can reflect characteristics of satellite images: large area coverage, cyclicity, and promptness. However, vegetation index involve uncertainly caused by diverse factors that affect vegetation stress. In this study, multi-temporal vegetation index is compared with the most representative meteorological drought indices like PSDI, SPI. Based on the results from analyses, usability of vegetation index as a tool of drought analysis is proposed.

• Journal of The Institute of Information and Telecommunication Facilities Engineering
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• v.9 no.3
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• pp.119-123
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• 2010

Since the two-way interactive broadcasting service began, remote controllers have been fitted with 4 color buttons, which enable interaction and convenience to grow between users and content. With Currently, diverse studies on IPTV are in progress. Particularly, as the mobile market rapidly grows, studies on mobile IPTV and on linkage with other media are constantly increasing. Yet, mobile IPTV has never been studied as of now. In that sense, the present study attempted to design a mobile-based IPTV UI that is fitted with more usability and functionality of 4 color buttons and multi-dimensional search based on consistent criteria for content search. The UI designed in this study was estimated using user interface design guideline. The guideline is comprised of consistency, user centered, ease of use, forgiveness, feedback, functionality, aesthetic integrity.

• Proceedings of the KSRS Conference
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• 2007.10a
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• pp.552-555
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• 2007

In this study, the MODIS NDVI for the period of $2000{\sim}2007$ was collected and processed to obtain VCI and SVI which are the quantitative indexes of drought. The VCI and SVI based on NDVI can be used for understanding seasonal pattern of vegetation, drought identification and quantitative analysis of drought. VCI and SVI compared with monthly precipitation ratio to average, Standardized Precipitation Index(SPI), and etc., which are used to identify spring drought, to analyze drought region, similarity and difference in drought severity. In addition, frequency of Spring droughts were calculated for the period of $2000{\sim}2007$, and the usability of the MODIS images as a tool for establishing countermeasures against drought was presented by analyzing drought frequently areas.

• Proceedings of the Computational Structural Engineering Institute Conference
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• 2007.04a
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• pp.719-724
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• 2007

Many engineering problems often require the large amount of computing resources for iterative simulations of problems treating many parameters and input files. In order to overcome the situation, this paper proposes an e-Science based computational system. The system exploits the Grid computing technology to establish an integrated web service environment which supports distributed high throughput computational simulations and remote executions. The proposed system provides an easy-to-use parametric study service where a computational service includes real time monitoring. To verify usability of the proposed system, two kinds of applications were introduced. The first application is an Aerospace Integrated Research System (e-AIRS). The e-AIRS adapts the proposed computational system to solve CFD problems. The second one is design and optimization of protein 3-dimensional structures.

• KIEAE Journal
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• v.13 no.3
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• pp.41-49
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• 2013

A tool to assist in designing an eco-village was developed using GIS(Geographical Information System) and RS(Remote Sensing) data and images. The difficulties of using GIS by untrained designers are resolved by simplifying the usage and making it a user friendly scenario-based tool, so that the designers with limited knowledge in GIS can use as a design tool. For this task, Da-Mu-Po, a village in Pohang, Gyeongbuk was picked as a site to test the design tool; through planning and designing as an eco friendly village, we tested the flexibility and usability of our newly developed design tool. From this experiment we also introduced test version of stand-alone GIS design tool by constructing program scenario and GUI(Graphic User Interface).

• Land and Housing Review
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• v.14 no.2
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• pp.109-124
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• 2023

The purpose of this study was to implement a mobile application to evaluate the residential performance of Hanoks anytime and anyplace free of time and space constraints made possible by mobile devices such as smart phones. To effectively evaluate the performance of Hanoks, the mobile application includes architectural information and help functions to ease the usability by the general public. In addition, it is designed to be intuitively understood through the presentation of field photos through empirical cases in line with the functional characteristics of smart phones. To test the functionality of the mobile application, a field evaluation was conducted at the Set-yi-seo Literature Center in Eunpyeong Hanok Village. The findings of this study provide a basis for using smart phone based applications for evaluating buildings such as Hanoks in the future. It can be used as a model for developing future user-friendly performance evaluation applications for public Hanok research and development.

• Korean Journal of Remote Sensing
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• v.37 no.5_1
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• pp.1207-1214
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• 2021

In thisletter, we developed technology which can exclude effect of cloudsto perform remote waterbody detection based on Sentinel-2 optical satellite imagery to calculate the area of ungauged reservoirs and applied to the Hwanggang dam reservoir, a representative ungauged reservoir, to verify usability. The remote waterbody detection technology calculates the cloud blocking ratio by comparing the cloud boundary in the Sentinel-2 imagery and the reservoir boundary first. Next, itselects data whose cloud blocking ratio does not exceed a specific value and calculates NDWI (Normalized Difference Water Index) with selected imagery. In last, it calculatesthe area of the reservoir by counting the number of grids which have NDWI value considered as waterbody within the boundary of the target reservoir and correcting with cloud blocking ratio. To determine cloud blocking ratio threshold forselecting image, we performed the area calculation of Hwanggang dam reservoir from July 2018 to October 2021. As a result, when the cloud blocking ratio threshold wasset 10%, we confirmed that the result with large error due to clouds were filtered well and obtained 114 results that can show changes in Hwanggang dam reservoir area among 220 images.

• Korean Journal of Remote Sensing
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• v.31 no.5
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• pp.433-440
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• 2015

In stochastic hyperspectral target detection algorithms, the target signal components may be included in the background characterization if targets are not rare in the image, causing target leakage. In this paper, the effect of target leakage is analysed and an improved hyperspectral target detection method is proposed by excluding the pixels which have similar reflectance spectrum with the target in the process of background characterization. Experimental results using the AISA airborne hyperspectral data and simulated data with artificial targets show that the proposed method can dramatically improve the target detection performance of matched filter and adaptive cosine estimator. More studies on the various metrics for measuring spectral similarity and adaptive method to decide the appropriate amount of exclusion are expected to increase the performance and usability of this method.