• Journal of the Korean Society of Industry Convergence
• /
• v.26 no.5
• /
• pp.785-792
• /
• 2023

Because hyperspectral imaging provides detailed spectral information across a broad range of wavelengths, it can be utilized in numerous applications, including environmental monitoring, food quality inspection, medical diagnosis, material identification, art authentication, and crime scene analysis. However, hyperspectral images often contain various types of distortions due to the environmental conditions during image acquisition, which necessitates the proper removal of these distortions through a data preprocessing process. In this study, a preprocessing method was investigated to effectively correct the distortion caused by artificial light sources used in indoor hyperspectral imaging. For this purpose, a halogen-tungsten artificial light source was installed indoors, and hyperspectral images were acquired. The acquired images were then corrected for distortion using a preprocessing that does not require complex auxiliary equipment. After the corrections were made, the results were analyzed. According to the analysis, a statistical transformation technique using mean and standard deviation with reference to a reference signal was found to be the most effective in correcting distortions caused by artificial light sources.

• Journal of Applied Reliability
• /
• v.15 no.4
• /
• pp.282-288
• /
• 2015

Purpose : The purpose of this study is to compare the RAM (reliability, availability and maintainability) value in the acquisition phase with operational period for air weapon systems. The objective is to determine if the value of RAM is sufficient in the field, and look for any difference from the target value to some extent. Methods : For a case study, the ${\bigcirc}{\bigcirc}$ training aircraft is selected. Data from the two acquisition sources are utilized. One is the operational data in domestic aircraft through research and development, and the other is the data from imported aircraft. The two different sources were collected independently and distinctly. Results : According to the analysis, the domestic aircraft shows high deviation in RAM value compare to the imported systems. This is due to the effort of continuous reliability improvement. In the aspect of maintainability, the result shows a slight deviation, and the availability meets the requirement. Conclusion : The results of this study can be used in finding a way that can be effectively applied to the sustainability in the weapon system. If the RAM performance is significantly lower than the target value, then it is necessary to improve the design activities so that they can achieve the RAM target value.

• Asian Journal of Business Environment
• /
• v.10 no.2
• /
• pp.17-21
• /
• 2020

Purpose: This paper explores diverse issues related to the problem of women's unpaid domestic care work, and as a factor of gender inequality in their professional practice. Research Design: This article concentrated only on the analysis of secondary data available on the topic along with observation of facts in Kazakhstan based on diverse sources. In current conditions, the problem of women's unpaid domestic care work, and consequently, the lack of enough time and energy for professional employment. Distinguish domestic work vs. job/career/occupation, self-fulfillment, education, and leisure has a significant impact on women's life satisfaction. Data, and Methodology: This article focuses only on secondary data available in different sources from which the researchers procures comprehensive data and information. Results and conclusion: A family policy that aims to promote combining maternity, and domestic work with paid employment is an effective way to increase the proportion of working mothers/women. It is crucial to not only proportionally distribute the household responsibilities in the family but also to form an effective mechanism of state support for women through the development of the social services sector, as well as the adoption of a system-wide approach to gender equality.

• Proceedings of the KSR Conference
• /
• 2009.05a
• /
• pp.495-504
• /
• 2009

As the Reliability Centered Maintenance(RCM) is being studied, maintenance tasks can be performed effectively through the Risk Priority Number(RPN) evaluation about the components in the system. The RPN is usually calculated through arithmetical operations of three values, Severity, Occurrence, and Detection for each facility. This RPN provides information that includes risk level of the facility and the priority order of maintenance tasks for facility. However, if there is no sufficient historical failure data, it is difficult to calculate the RPN. In this case, historical failure data from other sources can be used and apply this data to korean railway system. In this paper, it is proposed that a new methodology to model the failure rate as a fuzzy membership function. This method is based on failure data from other sources by means of the fuzzy theory and the expert opinion system. And considering assessment tendency of each expert, distortions that happened when the failure rate of facilities is estimated were minimized. This results determine Occurrence values of facilities. Taking advantage of this result., the RPN can be calculated with Severity and Detection of facilities by using the fuzzy operation. The proposed method is applied the rail-way power substation.

• Nuclear Engineering and Technology
• /
• v.46 no.6
• /
• pp.773-782
• /
• 2014

The general path model (GPM) is one approach for performing degradation-based, or Type III, prognostics. The GPM fits a parametric function to the collected observations of a prognostic parameter and extrapolates the fit to a failure threshold. This approach has been successfully applied to a variety of systems when a sufficient number of prognostic parameter observations are available. However, the parametric fit can suffer significantly when few data are available or the data are very noisy. In these instances, it is beneficial to include additional information to influence the fit to conform to a prior belief about the evolution of system degradation. Bayesian statistical approaches have been proposed to include prior information in the form of distributions of expected model parameters. This requires a number of run-to-failure cases with tracked prognostic parameters; these data may not be readily available for many systems. Reliability information and stressor-based (Type I and Type II, respectively) prognostic estimates can provide the necessary prior belief for the GPM. This article presents the Bayesian updating framework to include prior information in the GPM and compares the efficacy of including different information sources on two data sets.

• Journal of Korean Society for Geospatial Information Science
• /
• v.10 no.3 s.21
• /
• pp.71-77
• /
• 2002

DEMs(digital elevation models) are generally used to automatically map the channel network and to delineate subbasins. At present, most DEM data are derived from three alternative sources which are ground survey, pphotogrammetric data capture and digitized cartographic data sources. The accuracy of a DEM is dependent on the spatial resolution, quality of the source data, collection and processing procedures, and digitizing systems. weather conditions and nature environment.etc provide us satellite image of the highest quality. However, Match in error of the auto generation DEM was severely affected by physical and environmental conditions at shooting time. This paper shows that real-time operation analysis of applied hydrology after extracting DEM Using a pair of Kompsat images.

• The Bulletin of The Korean Astronomical Society
• /
• v.36 no.1
• /
• pp.82.2-82.2
• /
• 2011

Infra-Red Dark Clouds (IRDCs) seen silhouette against the bright Galactic background in mid-IR are a class of interstellar clouds that are dense and cold with very high column densities. While IRDCs are believed to be the precursors to massive stars and star clusters, individual IRDCs show diverse star forming activities within them. We report a remarkable example of such cloud, the IRDC at ${\Gamma}53.2^{\circ}$, and star formation activity in this cloud. The IRDC was previously identified in part as three separate, arcmin-size clouds in the catalogue of MSX IRDC candidates, but we found that the IRDC is associated with a long, filamentary CO cloud at 2 kpc from the Galactic Ring Survey data of $^{13}CO$ J = 1-0 emission, and that its total extent reaches ~ 30pc. The Spitzer MIPSGAL 24mm data show a number of reddened mid-IR sources distributed along the IRDC which are probably young stellar objects (YSOs), and the UWISH2 $H_2$ data (2.122mm) reveal ubiquitous out flows around them. These observations indicate that the IRDC is a site of active star formation with YSOs in various evolutionary stages. In order to investigate the nature of mid-IR sources, we have performed photometry of MIPSGAL data, and we present a catalogue of YSOs combining other available point source catalogues from optical to IR. We discuss the evolutionary stages and characteristics of YSOs from their IR colors and spectral energy distributions.

• Journal of Multimedia Information System
• /
• v.5 no.2
• /
• pp.105-110
• /
• 2018

Autonomous cars require the integration of multiple communication systems for driving safety. Many carmakers unveil mirrorless concept cars aiming to replace rear and sideview mirrors in vehicles with camera monitoring systems, which eliminate blind spots and reduce risk. This paper presents optical vehicle-to-vehicle (V2V) communications for autonomous mirrorless cars. The flicker-free light emitting diode (LED) light sources, providing illumination and data transmission simultaneously, and a high speed camera are used as transmitters and a receiver in the OCC link, respectively. The rear side vehicle transmits both future action data and vehicle type data using a headlamp or daytime running light, and the front vehicle can receive OCC data from the camera that replaces side mirrors so as not to prevent accidents while driving. Experimental results showed that action and vehicle type information were sent by LED light sources successfully to the front vehicle's camera via the OCC link and proved that OCC-based V2V communications for mirrorless cars can be a viable solution to improve driving safety.

• Journal of Korean Society of Forest Science
• /
• v.79 no.2
• /
• pp.205-215
• /
• 1990

Importance of forest recreation in the Korean forestry situation has recently been increased and will be even more rapidly in the future. For efficient planning and development for the national scale, computer aided information techniques are urgently needed. Geographic information system(GIS) has been proven to organize and analyze data from various sources for large geographical areas. Unlike conventional data base management system (DBMS), GIS can handle spatially referenced data and, thus, can be a good candidate for recreation planning support system. This paper introduces the concept and components of GIS and illustrates examples of GIS applications. A possibility of system integration with other data sources is also suggested.

• The Journal of Korean Society for School & Community Health Education
• /
• v.15 no.3
• /
• pp.1-15
• /
• 2014

Objectives: This study was performed to develop the indicators for national surveillance of chronic disease, which is a governmental concern to manage the chronic disease for older persons. It is necessary that chronic disease surveillance system needs to be made in Korea for effective management of chronic diseases. With the system, we know the prevalence and incidence of chronic diseases, observe the trend of utilization for caring the chronic diseases, and analyze the behavior change for prevention of chronic diseases. Methods: This study was carried out by analyzing the data by which the indicators was produced, by reviewing how the United States made the indicators. By benchmarking the United States, the sources of data of the national surveillance indicators for chronic diseases in Korea were compared. Results: In this study, the most significant indicators were identified and proposed to improve the surveillance indicators by changing the sources of data. These findings warrant further development of the health policy for the chronic disease prevention and establishment of the chronic disease surveillance system. Conclusions: The results of this study can be used to develop national surveillance indicators to manage the chronic diseases and can be used as basic data to develop community health programs.