• Fire Science and Engineering
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• v.21 no.2 s.66
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• pp.14-23
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• 2007

In this thesis, we analysed urban fires and developed the predictive mapping technique by using GIS and spatial statistics. It presented the correlation between the fire data of last 5 years ($2001{\sim}2005$) and the factor of civilization environment in Daegu city. We produced a model of fire hazard predictive map by analyzing uncertainty of fire with the quadrat analysis and the poisson distribution.

• Journal of the Korean Society of Safety
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• v.22 no.3 s.81
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• pp.74-80
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• 2007

In this study, a documentary survey, face mapping, and stability analysis were performed on the collapsed colluvial soil slope. The purpose of this paper is to identify the cause of slope failure and determine slope stability for similar areas. Boring samples were extracted from the slump and laboratory tests were performed to find out the cause of slope failure. In addition, the limit equilibrium method was used in order to determine the stability of the slope. As a result of this investigation and the analysis of data, the type of collapse and cause of slope failure have been shown to have a strong correlation with the natural geographical and geological features which make up the collapse profile of the study area. These results will help to develop guidelines for formulating countermeasure methods.

• Proceedings of the KSRS Conference
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• 2003.11a
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• pp.85-92
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• 2003

Application of traditional aerial survey technologies for topographic mapping purposes has a number of principal problems. The growing worldwide acceptance of digital orthophotos has understood this need. Many trekking and expedition teams are expecting digital orthophoto and consequently 3D animation of the highest peaks and possible trekking routes, camping sites and information on how difficult the routes may be. In recent years, inexpensive computers and advance of computer technologies contributed to the rapid development of digital photogrammetry (Dowman et al., 1992; Heipke, 1995). Successful implementation of digital photogrammetric workstations in mapping have been found in various disciplines (Chen et al., 1998; Skalet et al., 1992). This paper highlights the results of the conventional photogrammetry and the possible advantages of digital photogrammetry over these and also the problems, issues and implications during digital Photogrammetric processing of high mountainous region in Asia.

• Proceedings of the Korean Society of Crop Science Conference
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• 2017.06a
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• pp.148-148
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• 2017

Soybean is an important economical resource of protein and oil for human and animals. The genetic basis of seed protein and oil content has been separately characterized in soybean. However, the genetic relationship between seed protein and oil content remains to be elucidated. In this study, we used a combined analysis of phenotypic correlation and linkage mapping to dissect the relationship between seed protein and oil content. A $F_{10:11}$ RIL population containing 222 lines, derived from the cross between two Korean soybean cultivars Seadanbaek as female and Neulchan as male parent, were used in this experiment. Soybean seed analyzed were harvested in three different experimental environments. A genetic linkage map was constructed with 180K SoyaSNP Chip and QTLs of both traits were analyzed using the software QTL IciMapping. QTL analyses for seed protein and oil content were conducted by composite interval mapping across a genome wide genetic map. This study detected four major QTL for oil content located in chromosome 10, 13, 15 and 16 that explained 13.2-19.8% of the phenotypic variation. In addition, 3 major QTL for protein content were detected in chromosome 10, 11 and 16 that explained 40.8~53.2% of the phenotypic variation. A major QTLs was found to be associated with both seed protein and oil content. A major QTL were mapped to soybean chromosomes 16, which were designated qHPO16. These loci have not been previously reported. Our results reveal a signi cant genetic relationship between seed protein and oil fi content traits. The markers linked closely to these major QTLs may be used for selection of soybean varieties with improved seed protein and oil content.

• Korean journal of food and cookery science
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• v.31 no.3
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• pp.241-247
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• 2015

This study was conducted in order to evaluate emulsion mapping between emulsion stability and moisture content, cooking yield, hardness, protein solubility, apparent viscosity, and overall acceptability of pork or beef emulsion batters. The pork and beef emulsion batters were added to different parts of the meat. The formulations indicating low emulsion stability and high cooking yield were T1 (pork shoulder), T2 (pork ham), and T5 (beef tenderloin) treatments. Low stability, low hardness and protein solubility were also T1 (pork shoulder), T2 (pork ham), and T5 (beef tenderloin) treatments. The Pearson's correlation coefficients show that emulsion stability is negatively correlated with cooking yield (p<0.05), with a value of -0.90, and positively correlated with hardness (p<0.05), and protein solubility (p<0.01) with values of 0.65 and 0.59, respectively. This approach has been found to be particularly useful for highlighting differences among the emulsified properties in emulsion meat products. Therefore, the results obtained with emulsion mapping are useful in the making of new emulsified meat products of the desired quality.

• Biomedical Science Letters
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• v.5 no.2
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• pp.167-179
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• 1999

There are considerable interests in bat biology for investigating hibernation mechanism, in special regard to a hypothesis that the entry into hibernation is closely related with epileptic fit (petit mal) accompanying falling of body temperature, which is characterized by 3 spikes and wave/sec formation in electroencephalograph (EEG). This study was designed in order to examine physiological parameters (body temperature, heart rate, electroencephalograph and brain mapping) during normal patterns of the entry into hibernation and the hibernation period, and to observe effects of epileptogenic agents such as THC, Metrazol, and ILS on the physiological parameters. Based on the experimental results the entry into some hibernation seems to be related with epileptic fit, and therefore it is deduced that north temperate bats and the hamsters might be induced into hibernation by epileptogenic factors (pentylenetetrazol, THC and ILS etc) accompanying falling of body temperature and unique EEG and brain mapping.

• Wind and Structures
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• v.27 no.5
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• pp.347-356
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• 2018

In this paper, stress distribution for a structurally stable greenhouse is considered in the present paper with subsequent investigation into the detailed stress distribution contour with the variation of self-weight and wind pressure level designation method under wind velocity of less than 30 m/sec. For reliable analysis, wind pressure coefficients of a single greenhouse unit were modeled and compared with experiment with correlation coefficient greater than 0.99. Wind load level was designated twofold: direct mapping of fluid dynamic analysis and conversion of modeled results into wind pressure coefficients ($C_P$). Finally, design criteria of EN1991-1-4 and NEN3859 were applied in terms of their wind pressure coefficients for comparison. $C_P$ of CFD result was low in the most of the modeled area but was high only in the first roof wind facing and the last lee facing areas. Besides, structural analysis results were similar in terms of stress distribution as per EN and direct mapping while NEN revealed higher level of stress for the last roof area. The maximum stress levels are arranged in decreasing order of mapping, EN, and NEN, generating 8% error observed between the EN and mapping results under 30 m/sec of wind velocity. On the other hand, effect of dead weight on the stress distribution was investigated via variation of high stress position with wind velocity, confirming shift of such position from the center to the forward head wind direction. The sensitivity of stress for wind velocity was less than 0.8% and negligible at wind velocity greater than 20 m/sec, thus eliminating self-weight effect.

• Investigative Magnetic Resonance Imaging
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• v.23 no.3
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• pp.228-240
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• 2019

Purpose: The aim of this study is to evaluate the T2 value of the articular cartilage of the glenohumeral joint in rotator cuff disease displayed on 3.0T MRI and to apply it in clinical practice. Materials and Methods: This study involved sixty-two patients who underwent shoulder MRI containing T2 mapping. The mean T2 value was measured by placing a free hand ROI over the glenoid or humeral cartilage from the bone-cartilage interface to the articular surface on three consecutive, oblique coronal images. The drawn ROI was subsequently divided into superior and inferior segments. The assessed mean T2 values of the articular cartilage of the glenohumeral joint were compared and evaluated based on the degree of rotator cuff tear, the degree of fatty atrophy of the rotator cuff, and the acromiohumeral distance. Results: ICC values between two readers indicated moderate or good reproducibility. The mean T2 value for the articular cartilage of the glenoid and humeral head cartilage failed to show any significant difference based on the degree of rotator cuff tear. However, the mean T2 values of articular cartilage, based on fatty atrophy, tended to be higher in fatty atrophy 3 or fatty atrophy 4 groups while some subregions displayed significantly higher mean T2 values. There was no correlation between the acromiohumeral distance and the mean T2 values of the articular cartilage of the glenoid and humeral head. Conclusion: T2 mapping of the glenohumeral joint failed to show any significant difference in quantitative analysis of the degenerative change of the articular cartilage based on the degree of rotator cuff tear. However, it also offers quantitative information on the degenerative change of cartilage of the glenohumeral joint in patients with rotator cuff tear and severe fatty atrophy of the rotator cuff.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.15 no.3
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• pp.1078-1099
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• 2021

Traditional image steganography hides secret information by embedding, which inevitably leaves modification traces and is easy to be detected by steganography analysis tools. Since coverless steganography can effectively resist steganalysis, it has become a hotspot in information hiding research recently. Most coverless image steganography (CIS) methods are based on mapping rules, which not only exposes the vulnerability to geometric attacks, but also are less secure due to the revelation of mapping rules. To address the above issues, we introduced camouflage images for steganography instead of directly sending stego-image, which further improves the security performance and information hiding ability of steganography scheme. In particular, based on the different sub-features of stego-image and potential camouflage images, we try to find a larger similarity between them so as to achieve the reversible steganography. Specifically, based on the existing CIS mapping algorithm, we first can establish the correlation between stego-image and secret information and then transmit the camouflage images, which are obtained by reversible sub-feature retrieval algorithm. The received camouflage image can be used to reverse retrieve the stego-image in a public image database. Finally, we can use the same mapping rules to restore secret information. Extensive experimental results demonstrate the better robustness and security of the proposed approach in comparison to state-of-art CIS methods, especially in the robustness of geometric attacks.

• Journal of Korea Water Resources Association
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• v.55 no.11
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• pp.855-863
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• 2022

In this study, the Artificial Neural Network (ANN) was used to mapping air temperature in Seoul. MODerate resolution Imaging Spectroradiomter (MODIS) data was used as auxiliary data for mapping. For the ANN network topology optimizing, scatterplots and statistical analysis were conducted, and input-data was classified and combined that highly correlated data which surface temperature, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), time (satellite observation time, Day of year), location (latitude, hardness), and data quality (cloudness). When machine learning was conducted only with data with a high correlation with air temperature, the average values of correlation coefficient (r) and Root Mean Squared Error (RMSE) were 0.967 and 2.708℃. In addition, the performance improved as other data were added, and when all data were utilized the average values of r and RMSE were 0.9840 and 1.883℃, which showed the best performance. In the Seoul air temperature map by the ANN model, the air temperature was appropriately calculated for each pixels topographic characteristics, and it will be possible to analyze the air temperature distribution in city-level and national-level by expanding research areas and diversifying satellite data.