• Fashion & Textile Research Journal
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• v.24 no.2
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• pp.195-205
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• 2022

This study examines the image management behavior according to self-monitoring, self-objectification of profile-based SNS users. Questionnaires were administered to 313 SNS users including both men and women in their 20s to 30s. The SPSS 25.0 package was utilized for data analysis, which included frequency analysis, factor analysis, Cronbach's ?, t-test, and regression analysis. The study analyzed self-monitoring in 2 groups (high, low), self-objectification for 2 factors (body surveillance, body shame), and image management behavior for 5 factors (fashion oriented, instrumentality, conformity, ostentation, interpersonal disposition). The results revealed: first, self-monitoring groups exhibited significant differences in self-objectification. The higher self-monitoring group was more influenced by body surveillance and body shame compared to the low self-monitoring group. Second, self-objectification had a positive influence on all the factors of image management behavior. Especially, body surveillance demonstrated a high influence on instrumentality and body shame showed a high influence on ostentation. Third, the self-monitoring groups showed significant differences in all the factors of image management behavior. The higher self-monitoring group demonstrated more influence of image management behavior compared to the low self-monitoring group. These results provide useful information in understanding the influence of social media on users' psychological attitude and consciousness toward their body and image management behavior.

• The Research Journal of the Costume Culture
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• v.29 no.1
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• pp.121-133
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• 2021

The purpose of this study was to investigate brand slognas that are effective in explaining how brand identity affects consumers. The effect of congruity between brand slogan and self-image (low and high) on attitude to slogans and brands were anaylzed. The moderating effect of self-monitoring (low and high) was also investigated. Survey data from 177 people in their 20s-30s were analyzed through descriptive statistics, exploratory factor analysis, and two-way ANOVA. First, congruity between slogan and self-image had a positive effect on both slogan and brand attitude. In other words, the higher the congruity between slogan and self-image, the more positive the attitude toward the slogan and brand. Second, no interactive effect was found in congruity between slogan and self-image and self-monitoring on slogan attitude; however it was identified for brand attitude. Again, in a group with high congruity between slogan and self-image, attitude toward the brand was more positive when self-monitoring was higher than when it was low. In conclusion, brand slogans that can represent the self-image of highly self-monitoring consumers are effective. In particular, this is meaningful as it has revealed its relationship with the impact of identity self-image congruity and self-monitoring on brand attitudes in fashion brands. These results offer meaningful guidance in determining brand slogans according to consumers' personal characteristics.

• International Journal of Advanced Culture Technology
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• v.4 no.2
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• pp.1-6
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• 2016

Impervious surfaces are important indicators for urban development monitoring. Accurate mapping of urban impervious surfaces with observational satellites, such as VNREDSat-1, remains challenging due to the spectral diversity not captured by an individual PAN image. In this article, five multi-resolution image fusion techniques were compared for the task of classifting urban impervious surfaces. The result shows that for VNREDSat-1 dataset, UNB and Wavelet tranformation methods are the best techniques in reserving spatial and spectral information of original MS image, respectively. However, the UNB technique gives the best results when it comes to impervious surface classification, especially in the case of shadow areas included in non-impervious surface group.

• Journal of information and communication convergence engineering
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• v.7 no.4
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• pp.551-555
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• 2009

This paper proposes a signal generation method for automatic control of a monitoring camera. Using the control signal, the monitoring camera can track a moving object and keep it near the image center for a longer time. The proposed method is estimated in the experiments that automatically move a maker located at the specified position to the image center.

• Journal of the Korean Society of Clothing and Textiles
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• v.21 no.7
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• pp.1205-1214
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• 1997

The purpose of this study is to positively investigate if the theory of self-monitoring among various individual trait theories would be a theoretical concept which can explain about the differences of clothing behavior under given social situations among Female university students in Korea. For this purpose, the following research problem were set up; 1. Self-monitoring levels and changing differences of self-image as per situation would be reviewed. 2. Self-monitoring levels and changing differences of clothing selection factors as per situation would be reviewed. The results of this study can be summarized as follows; First, as a result of analyzing the differences of situational self-image pursuits within per situation depending on individuals self-monitoring levels, the differences were found significant by. Namely, the adjectives for situational self-image which corresponded to those who had high self-monitoring than low self.monitoring were "womanly", "refined", "sensual", "lively" and "elegant". Second, as a result of analyzing the differences of priority of clothing selection factors within per situation depending on individuals self-monitoring levels, the differences were found significant by. Those who had high self-monitoring level put a higher priority on fashionability, aesthetics and status.symbol of clothing within per situation, while those who had low self-monitoring thought important for economy or utility within per situation.rtant for economy or utility within per situation.

• Journal of the Institute of Convergence Signal Processing
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• v.11 no.1
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• pp.9-12
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• 2010

This paper presents design and implementation of infrared thermal image processing system based on the digital media processor for disaster monitoring. The digital thermal image processing board is designed and implemented by using commercial chips such as DM642 processor and video encoder, video decoder. The implemented functions for disaster monitoring are to analyze temperature distribution of a monitoring infrared thermal image and to detect disaster situation such as fire. For the input of infrared thermal image processing system, an infrared camera of type of the $320\;{\times}\;240\;{\mu}$-bolometer is used. The required functions are confirmed with 10 frame/second of processing performance by testing of the prototype and Practicality of the system was verified.

• International conference on construction engineering and project management
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• 2015.10a
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• pp.333-335
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• 2015

A computer vision-based scene recognition algorithm is proposed for monitoring construction sites. The system analyzes images acquired from a surveillance camera to separate regions and classify them as building, ground, and hole. Mean shift image segmentation algorithm is tested for separating meaningful regions of construction site images. The system would benefit current monitoring practices in that information extracted from images could embrace an environmental context.

• Korean Journal of Remote Sensing
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• v.19 no.2
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• pp.99-106
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• 2003

The shoreline changes were observed and analysed using the video image by a remote unmanned automatic camera monitoring system installed at Haeundae beach of Busan City. In order to analyse quantitatively the shoreline changes caused by waves and tides, the image averaging technique and the rectification technique for obliquely acquired image were applied to the video image during the typhoon Bart in September, 1999. The results showed that the camera monitoring system can be used as a very cost effective and efficient tool for monitoring shorelines which change continuously due to waves and tides.

• Journal of the Korean Society for Precision Engineering
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• v.25 no.1
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• pp.92-98
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• 2008

The flame image observation and analysis has been investigated for combustion monitoring and management of the pulverized coal firing for thermal power plant, especially for lower nitrogen oxide generation and safer operation. We aimed at obtaining the relationship between burner flame image information and emissions of nitrogen oxide and unburned carbon in furnace utilizing the flame image processing methods, by which we quantitatively determine the conditions of combustion on the individual homers. Its feasibility test was undertaken with Samchonpo thermal power plant #4 unit which has 24 burners, through which the system was observed to be effective for evaluating the combustion conditions and continuous monitoring to prevent future loss of ignition.

• Proceedings of the Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography Conference
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• 2007.04a
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• pp.141-144
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• 2007

Satellite image for national land monitoring is required high resolution and natural color with multi spectral band. the image is expensive as higher resolution. We need cheap image relatively in economic viewpoint but the image serves sufficient resolution to monitor national land. We merged two images to one image and evaluated the result. the two images which are used at the merge test are high resolution(2.5m per pixel) panchromatic and low resolution(10m per pixel) multi spectral image of SPOT-5 satellite. The result of this study. We made the merge image to have sufficient resolution for national monitoring.