• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.39 no.6
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• pp.351-361
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• 2021

The seriousness of fire is rising because fire causes enormous damage to property and human life. Therefore, this study aims to predict various risk factors affecting fire by fire type. The predictive analysis of fire factors was carried out targeting Gyeonggi-do, which has the highest number of fires in the country. For the analysis, using machine learning methods SVM (Support Vector Machine), RF (Random Forest), GBRT (Gradient Boosted Regression Tree) the accuracy of each model was presented with a high fit model through MAE (Mean Absolute Error) and RMSE (Root Mean Squared Error), and based on this, predictive analysis of fire factors in Gyeonggi-do was conducted. In addition, using machine learning methods such as SVM (Support Vector Machine), RF (Random Forest), and GBRT (Gradient Boosted Regression Tree), the accuracy of each model was presented with a high-fit model through MAE and RMSE. Predictive analysis of occurrence factors was achieved. Based on this, as a result of comparative analysis of three machine learning methods, the RF method showed a MAE = 1.765 and RMSE = 1.876, as well as the MAE and RMSE verification and test data were very similar with a difference between MAE = 0.046 and RMSE = 0.04 showing the best predictive results. The results of this study are expected to be used as useful data for fire safety management allowing decision makers to identify the sequence of dangers related to the factors affecting the occurrence of fire.

• Economic and Environmental Geology
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• v.49 no.4
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• pp.269-280
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• 2016

I presented three vector crustal magnetic anomaly components and six gradients by using spherical Slepian functions over the cap area of $20^{\circ}$ of radius centered on the South Pole. The Swarm mission, launched by European Space Agency(ESA) in November of 2013, was planned to put three satellites into the low-Earth orbits, two in parallel in East-West direction and one in cross-over of the higher altitude. This orbit configuration will make the gradient measurements possible in North-South direction, vertical direction, as well as E-W direction. The gravity satellites, such as GRACE and GOCE, have already implemented their gradient measurements for recovering the accurate gravity of the Earth and its temporal variation due to mass changes on the subsurface. However, the magnetic gradients have little been applied since Swarm launched. A localized magnetic modeling method is useful in taking an account for a region where data availability was limited or of interest was special. In particular, computation to get the localized solutions is much more efficient and it has an advantage of presenting high frequency anomaly features with numbers of solutions fewer than the global ones. Besides, these localized basis functions that were done by a linear transformation of the spherical harmonic functions, are orthogonal so that they can be used for power spectrum analysis by transforming the global spherical harmonic coefficients. I anticipate in scientific and technical progress in the localized modeling with the gradient measurements from Swarm and here will do discussion on the results of the localized solution to represent the three vector and six gradient anomalies over the Antarctic area from the synthetic data derived from a global solution of the spherical harmonics for the crustal magnetic anomalies of Swarm measurements.

• Proceedings of the Acoustical Society of Korea Conference
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• 1994.06a
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• pp.746-751
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• 1994

The four-terminal transmission matrix method has been widely used to estimate the insertion-loss. However, the predictins using the equations in the four-terminal transmission matrix method do not reflect a practical phenomenon accurately, In this paper, the correction method to derive the insertion-loss for a constant sound pressure source is presented. The method of correction to the four-terminal transmission matrix method was proposed by rewriting the real and imaginary parts as they depend solely on the flow velocity. Then the result was compensated for by adding the component of the temperature gradient.

• Journal of the Korean Association of Geographic Information Studies
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• v.5 no.3
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• pp.99-106
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• 2002

The application method of GIS for planning of forest road network can be save the efforts and cost by frequently change of forest road and evaluation the forest road route before construction. The purpose of this study is to suggest the proper method for planning an optimal forest road network in mountains forest using geographic information system(GIS) in the national forest of Mt. Kumsan at Namhae-gun, Gyungsangnam-do. In the forest road network planning by the minimum longitudinal gradient, The total length was 20.41km, and road density was 6.92m/ha. In the forest road network planning by mixed with the minimum longitudinal gradient and the maximization of investment effect, The total length was 21.15km, and road density was higher than that of the minimum longitudinal gradient as 7.17m/ha. The road length overlapped by cost path was more short than 3.52m/ha of the minimum longitudinal gradient as 1.73km. So, it appeared that forest road has an high effectiveness in yarding function. Therefore, it considered that the geographic information system could provide an effective and resonable solutions for planning of optimal forest road network.

• The Bulletin of The Korean Astronomical Society
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• v.40 no.1
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• pp.47.1-47.1
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• 2015

We present an optical spectroscopic study of 28 supernova remnant (SNR) candidates in M81 and two SNR candidates in M82. The optical spectra of these SNR candidates were obtained using the MMT/Hectospec as a part of the K-GMT Science Program. Based on the [S II]/$H{\alpha}$ ratio and the radial velocity, we find that twenty six out of the M81 candidates are genuine SNRs. Two SNR candidates in M82 are thought to be shocked condensations in the galactic outflow or SNRs. In the spectral line ratio diagrams, M81 SNRs are divided into two groups: an [O III]-strong group and an [O III]-weak group. The [O III]-weak SNRs have larger sizes, and may have faster shock velocity. We estimate the nitrogen and oxygen abundance of the SNRs from the comparison with shock-ionization models. We find a radial gradient in nitrogen abundance, $dLog(N/H)/dlogR=-0.023{\pm}0.009\;dex\;kpc^{-1}$ little evidence for the gradient in oxygen abundance. The nitrogen abundance shows shallower gradient than those of the planetary nebulae and H II regions of M81. We find five X-ray emitting SNRs. Their X-ray hardness colors are consistent with thermal SNRs.

• Journal of the Korean Society of Environmental Restoration Technology
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• v.5 no.2
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• pp.1-8
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• 2002

The aim of this study was to generate systemic data for the aquatic plant distribution according to water depth and crossing slope in the shoreline. The results of this study were as follows; 1. Anxiety to 0 near area Bidens frondosa, Scirpus tabernaemontani, Carex dispalata etc. total class 21 observe, and Phragmites communis, Iris pseudoacorus etc. class 6 of anxiety 0-70cm extent examined. Class 21 of anxiety observed all such as Bidens frondosa, Scirpus tabernaemontani, Carex dispalata in near area to 0, and Phragmites communis, Iris pseudoacorus etc. class 6 of anxiety 0-70cm extent examined. Anxiety 70-100cm extent Nymphoides indica, Ttapa japonica etc.. class 2 appeared to line Zizania latifolia, Typha angustata back 2 papers, 130cm and examined that Nelumbo nucifera was limit anxiety state 230cm. 2. Aquatic plants of Phragmites communis, Zizania latifolia, Typha angustata etc. range mainly to gentle gradient of slant 10 degree low and distribution pattern was ranging by Zizania latifolia, Typha angustata, Phragmites communis period of ten days from deepwater place. Nelumbo nucifera was forming become independent stock keeping away invasion of plant that ability to breed was different because was prosperous. Slant 10 bores was growing near sleep in been strange steep slope earth and distribution of emerged plant appeared punily and emerged plant and swampy land plant were ranged extensively in gentle gradient of 10 degree low. 3. On lake surrounding plant when wish to do distribution of natural conditions reference need to. That is, gentle gradient and distribution form of steep slope earth are different, and same pitch must consider enough this because appear as distribution, distribution according to that some plant species were growing was different.

• Journal of the Korean Society of Clothing and Textiles
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• v.38 no.3
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• pp.305-320
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• 2014

This study identifies the foot shapes of elderly women by classifying foot type according to the 3D shape of the foot and 2D sole type analyzing individual characteristics. The subjects were 295 elderly women over 60 years of age who live in Gwangju. A foot scanner (K&I Technology $Nexcan^{(R)}$) was used to obtain three-dimensional shapes of feet and a flat bad scanner (HP Scanjet G2410) was used to obtain the two-dimensional shapes of soles. The anthropometric measuring items consisted of 59 items estimated on the right foot of each subject. Data were analyzed by various statistical methods such as factor analysis, ANOVA and cluster analysis using the SPSS 19.0 statistical program. To classify the side type of elderly women's feet, three-dimensional measurement data were analyzed for the 27 measurement items using factor analysis and 6 factors were extracted (inside height and side gradient, ankle thickness, toe height and midfoot size, lateral malleolus height, instep, and heel height and gradient). A cluster analysis resulted in three types: 36.5% belonged to Type 1 (high forefoot and high midfoot), 31.1% belonged to Type 2 (high forefoot and low midfoot), and 32.4% belonged to Type 3 (low forefoot and high midfoot). The distribution was relatively even. For the sole, 8 factors were extracted (ball width and medial foot protrusion, lateral foot protrusion, forefoot and hindfoot length ratio, ball gradient, heel size, toe breadth, lateral ball length, and foot length) and a cluster analysis resulted in three Types (Type H, Type D, and Type A). The largest proportion (42.7%) belonged to Type H, which is the same as the elderly men's case.

• Korean Journal of Environmental Biology
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• v.25 no.4
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• pp.356-362
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• 2007

The rhizobacterial diversity associated with 9 native plant species inhabiting coastal sand dunes in Tae-an area, Chungnam Province, was studied using the denaturing gradient gel electrophoresis (DGGE) fingerprinting analysis over three times from October 2003 to March 2004. One dominant band commonly occurred in all of the rhizosphere samples, which was identified as that of Lysobacter enzymogenes. The other common bands included those derived from species of Pseudomonas and Bacillus. It was notable that L. enzymogenes was dominant in all of the 9 plant species and such dominance was consistent throughout the whole sampling period, which confirms the previous study by Lee et al. (2006a). The Bacillus bands were detected in all of the three samplings, and those of Pseudomonas were notable in the samples of December 2003. By the DGGE analysis alone, the significance of Lysobacter to the sand dune plants is not clear. However, considering their presence in healthy plants and the dominance in all plant species, Lysobacter may have positive roles in the survival or growth of the plants in sand dune area.

• Journal of Chest Surgery
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• v.21 no.4
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• pp.727-733
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• 1988

Two cases of the discrete membranous subaortic stenosis were experienced at the Department of Thoracic & Cardiovascular Surgery, National Medical Center, Seoul, Korea. Case I was 31 years old male with a history of aortic valve replacement[Ionescu-Shiley, 19mm] at the other hospital in 1980. Heart failure was noticed 6 years later. On cardiac catheterization, pressure gradient between left ventricle 4 aorta was 104 mmHg, but subvalvular aortic stenosis was not detected by preoperative 2-D echo <% left ventriculogram. Above case revealed stenoinsufficiency of the prosthetic valve. Under the diagnosis of the prosthetic valve failure, re-do aortic valve replacement[Bjork-Shiley, 23 mm] was done. During operation, the discrete membranous subaortic stenosis was incidentally found, and it was completely resected. So we thought that above discrete membranous subaortic stenosis was not detected at first operation, and it was progressed during 6 years, and accelerated the degeneration of the prosthetic valve. Case II was 20 years old female. Her complaints were exertional dyspnea, angina, syncope, which were aggravated since 5 years ago. 2-D echo <% left ventriculogram revealed the discrete membranous subaortic stenosis. Pressure gradient was 20 mmHg, but her symptoms were serious. Associated cardiac anomaly was the persistent left superior vena cava without connection with right superior vena cava. Complete excision of the membranous tissue was done. Post-operative pressure gradient between left ventricle & aorta was absent, and her complaints were nearly subsided. Both cases were type I according to the Newfeld classification of the discrete subvalvular aortic stenosis, and complete excision of the membranous tissue was done without myotomy or mymectomy. And short-term follow-up results[Case I:2 years, Case II: 1 ~ years] were good except soft systolic murmur[grade II/VI] at the aortic area in both cases.

• Journal of the Korea Society of Computer and Information
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• v.26 no.1
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• pp.1-9
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• 2021

OpenGL compute shader is a shader stage that operate differently from other shader stage and it can be used for the calculating purpose of any data in parallel. This paper proposes a GPU-based parallel algorithm for computing sparse linear systems through conjugate gradient using an iterative method, which perform calculation on OpenGL compute shader. Basically, this sparse linear solver is used to solve large linear systems such as symmetric positive definite matrix. Four well-known matrix formats (Dense, COO, ELL and CSR) have been used for matrix storage. The performance comparison from our experimental tests using eight sparse matrices shows that GPU-based linear solving system much faster than CPU-based linear solving system with the best average computing time 0.64ms in GPU-based and 15.37ms in CPU-based.