Journal of the Korean Society of Environmental Restoration Technology
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v.26
no.6
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pp.85-96
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2023
This study proposes a method for forest vegetation monitoring using high-resolution aerial imagery captured by unmanned aerial vehicles(UAV) and deep learning technology. The research site was selected in the forested area of Mountain Dogo, Asan City, Chungcheongnam-do, and the target species for monitoring included Pinus densiflora, Quercus mongolica, and Quercus acutissima. To classify vegetation species at the pixel level in UAV imagery based on characteristics such as leaf shape, size, and color, the study employed the semantic segmentation method using the prominent U-net deep learning model. The research results indicated that it was possible to visually distinguish Pinus densiflora Siebold & Zucc, Quercus mongolica Fisch. ex Ledeb, and Quercus acutissima Carruth in 135 aerial images captured by UAV. Out of these, 104 images were used as training data for the deep learning model, while 31 images were used for inference. The optimization of the deep learning model resulted in an overall average pixel accuracy of 92.60, with mIoU at 0.80 and FIoU at 0.82, demonstrating the successful construction of a reliable deep learning model. This study is significant as a pilot case for the application of UAV and deep learning to monitor and manage representative species among climate-vulnerable vegetation, including Pinus densiflora, Quercus mongolica, and Quercus acutissima. It is expected that in the future, UAV and deep learning models can be applied to a variety of vegetation species to better address forest management.
Objective: This study aimed to evaluate the performance of an integrated risk stratification system (RSS) based on ultrasound (US) RSSs, nodule size, and cytology subcategory for diagnosing malignancy in thyroid nodules initially identified as Bethesda category III on fine-needle aspiration. Materials and Methods: This retrospective study was conducted at two institutions and included consecutive patients with Bethesda category III nodules, and final diagnoses confirmed by repeat biopsy or surgery. A total of 320 Bethesda category III nodules (≥1 cm) from 309 patients (223 female and 86 male; mean age, 50.9 ± 12.0 years) were included. The malignancy risk of Bethesda category III nodules and predictors of malignancy were assessed according to US RSSs, nodule size, and cytology subcategory. The diagnostic performances of US-size cytology (USC) RSS and US RSS alone for malignancy were compared. Results: The intermediate or high suspicion US category independently increased the malignancy risk in all US RSSs (P ≤ 0.001). Large nodule size (≥3 cm) independently increased the malignancy risk of low- or intermediate suspicion US category nodules. Additionally, the atypia of undetermined significance cytology subcategory independently increased the malignancy risk of low suspicion US category nodules in most US RSSs. The area under the receiver operating characteristic curve of the USC RSSs was greater than that of the US RSSs alone (P < 0.048). Malignancy was not found in the very low risk category of USC RSS. Conclusion: The diagnostic performance of USC RSS for malignancy was superior to that of US RSS alone in Bethesda category III nodules. Malignancy can be ruled out in the very low-risk category of USC RSS.
A computer simulation was carried out to investigate the optimum capacity of liquid manure tank spreader which is used as a tractor attachment. Soil physical properties, such as soil moisture content, bulk density, soil hardness and soil types were measured in the 10 major rice production area for computer simulation. Mathematical model which include soil physical properties and vehicle factor was used for computer simulation. Most of the soil type of the investigated area was sandy clay loam. Soil moisture content ranged between 30 and 40% mostly. Soil bulk density was in the range of 1,500 to 1,700 kg/$m^3$. Soil hardness ranged between 1 to 18 $cm^2$. Soil hardness incorporate the effects of many soil physical properties such as soil moisture content, soil type and soil bulk density, and so the range of soil hardness is greater than any other physical properties. The capacity of liquid manure tank spreader was above 3,000 kg$_{f}$ for the most of the investigated areas, and mostly in the range of 4,000 to 6,000 $kg_f$ depending upon the slip. But for the soft soil area such as Andong and Asan, the tractor itself has mobility problem and shows no pulling force for some places. For this area, the capacity of liquid manure tank spreader ranged between 1,000 and 2,000 $kg_f$ mostly, so the capacity of liquid manure tank spreader should be designed as a small capacity trailer compared to the other area.mpared to the other area.
New Opening of Suseo-Pyeongteak High Speed Railway (HSR) will be a new leap in the Korean railway history. However if this section of HSR line around Seoul Metropolitan Area opens, the confluence of new HSR and existing HSR line in Pyeongteak-Osong section will cause a bottle neck problem. In other words, the opening of Suseo-Pyeongteak HSR line will make the capacity of track reach the limit and the section of railroad between Pyeongteak and Osong will be saturated. This will also make such troubles as restricting the number of train which stops at Cheonan-Asan station. In this study, based on the train assignment theory of TVM430 signal system, the methods of calculating headway and number of train are reviewed and the plan for application of optimal operation pattern during peak hour between Pyeongteak-Osong section is also suggested. To remove the bottle neck problem in this HSR section, 3 alternatives are suggested and the expected effects and problems of each alternative are also analyzed. The results show that the troubles caused by excess of track capacity can be removed without any additional cost if the minimum headway in operating system for HSR is adopted in this section. In the future, if these alternatives are considered to the long-term plan for operating train and signal systems, this will improve the efficiency of train operation, which can remove the bottle neck in the HSR line.
Instroduction: The purpose of this study was to investigate safety education-related backgrounds and safety behaviors of elementary school children at a local area in Jeonbuk province. Methods: Study subjects were 308 5th and 6th graders from 6 schools located in J City and the data were collected from June 16-27, 2003. Research instrument to test safety behaviors was 4-points summated scale (Cronbach${\alpha}$= .94) composed of 54-items with three sub-categories school life safety (${\alpha}$= .88), traffic safety (${\alpha}$= .86), and daily life safety (${\alpha}$= .84), The data was analyzed by percentage, x2-test, t-test, ANOVA and Duncan test using SPSS/PC 10.0. Results: 1. Safety Education-related Characteristics: Safety education was mostly conducted during extracurricular hour as picnic (37%) and regular class (37.2%); and the instructors of safety education were school nurse (33.2%), classroom teacher (30.9%), and parents (23.4%) in order. About two third (71.0%) of the subjects have had many kinds of school event program such as essay writing, poster drawing, oratorical contest in the course of safety education According to gender, girl students was more favorable about school events as a effective safety education measure (x2=9.188, p= .010); and according to school location, nural school taught more at moming & closing session (x2=7.383, p= .025), by school nurse or classroom teacher (x2=36.574, p= .001), and had more frequent (x2=63.337, p= .001) safety education class. 2. Practice of safety behaviors: Mean scores of safety behaviors was $106.9{\pm}24.92$ out of 162 points. According gender, the scores of girl students (t=-3.296, p= .001) were significant higher than boy students. But there was not any significant difference according to school area According to safety education-related characteristics, the scores of safety behaviors was significantly higher in the group who thought that school event program was more effective on safety education (F=4.024, p= .019), and who were more interested in current safety education class (F= 10.203, p= .001) Conclusions: From the above findings, the authors concluded that school-based safety education was mainly conducted at extra-curricular and regular class, and by school nurse or classroom teacher in elementary school. Even though the mean scores of safety behaviors of elementary school children was in medium level, those. were significant higher in girl students and in rural school children. And extra-curricular activities and school event programs were suggested as more effective strategies for school-based safety education Based on the above findings, safety education class can be recommended in regular curricular basis; and various extracurricular activities and school event programs need to be developed for more effective school-based safety education. In addition, further study on gender-specific factors on safety behaviors and nationwide survey on school-based safety education should be needed.
Journal of the Korea Academia-Industrial cooperation Society
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v.13
no.12
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pp.5860-5866
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2012
BOLD technique in functional MRI has to apply multiple stimulations. However as the stimulation time increases failure rates rise. In this study we are proposing proper number of stimulations through our experiments. Ten normal people underwent functional MRI hand motor sanning and the paradigms were designed from first to seventh stimulation. Under Philips Intera Achieva 3.0T MR system and Invivo cop's Eloquence equipment, activation periods and rest periods were repeated ten times each, using BOLD EPI technique. Primary hand motor area stimulation and number of clusters, activation rates and number of activated clusters in and outside the region of interest were compared to each other. Number of clusters in region of interest was lower than others at second stimulation and became static from third stimulation. The stimulated ratios were elevated as the number of stimulations were increased but it was not proportional. Number of clusters outside the ROI became static from the third stimulation and started increasing from sixth stimulation. As results, given the activation ratios of ROI and out side the ROI, three times stimulation was the most appropriate because it does not affect accuracy, also decreasing the fatigue of patients by with the decreased scanning time.
Kim, Yoo-Mi;Chang, Dong-Min;Kim, Sung-Soo;Park, Il-Su;Kang, Sung-Hong
Journal of the Korea Academia-Industrial cooperation Society
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v.10
no.5
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pp.1100-1108
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2009
The Objectives: The purpose of this study is to identify the factors related to management of DM in Korea. Methods: The subjects selected by using data of National Health and Nutrition Survey(NHANS) in 2005 were 415 adults, aged 20 and older, and diagnosed with DM. This study used data mining algorithms. This study validated the predictive power of data mining algorithms by comparing the performance of logistic regression, decision tree, and Neural Network on the basic of validation, it was found that the model performance of decision tree was the best among the above three techniques. Result: First, awareness of DM was positively associated with age, residential area, and job. The most important factor of DM awareness is age. Awareness rate of DM with 52 age over is 76.1%. Among the ${\geq}52$ age group, an important factor is family history. Among patients who are 52 years or over with family history of DM, an important factor is job. The awareness rate of patients who are 52 age over, family, history of DM, and professionals is 95.0%. Second, treatment of DM was also positively associated with awareness, region, and job. The most important factor of DM treatment is DM awareness. Treatment rate of patients who are aware of DM is 84.8%. Among patients who have awareness of DM, an important factor is region. The awareness rate of patients who are aware of DM in rural area is 10.4%. Conclusion: Finally, the result of analysis suggest that DM management programs should consider group characteristic of DM patients.
Journal of the Korean Association of Oral and Maxillofacial Surgeons
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v.26
no.6
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pp.636-643
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2000
Facial asymmetry is the most frequent disease in craniofacial deformities. And the primary causing area of that is mostly placing in mandible. That is to say, it is known that primarily, mandible grows excessively or deficiently, and other facial region involving maxilla undergoes compensatory growth secondarily, so asymmetric face develops. In facial asymmetry, the surgical correction of undergrowth is more difficult than that of overgrowth and the reason of it is the postoperative relapse caused by stress of surrounding soft tissues. It means the stress of surrounding soft tissues occurring after bone lengthening and reducing above stress is the same meaning with reducing postoperative relapse. Among various areas, mandibular ramus is the most difficult area to lengthen vertically and maintain its length. The reason of it is considered by many authors as the stress of surrounding pterygomasseteric sling which is enveloping lower border of mandible and interrupting elongation of ramal height. So we applied two different surgical procedures in which pterygomasseteric slings have different stress respectively to monkeys which have similar masticatory function and anatomy to human being and compared relapse by radiographic film and observed periodically the histochemical change of masseteric muscle fiber. So we could see the following results. The relapse was less in EVRO group in which we separated pterygomasseric sling in inferior border and didn't approximate muscle sling after vertical lengthening to minimize the stress of soft tissues than IVRO group in which we elongated ramal height preserving pterygomassetric sling. Of course, we could see a problem in EVRO group such as bone resorption in inferior border caused by uncovering the periosteum of inferior border. But we expect that such problem will be solved by developing periosteum substitutes for covering the exposed bone and minimizing the surgical trauma. In histochemical study of masseteric muscle fiber, the fiber constituents of EVRO group in which we minimized soft tissue stress was changed immediately after operation and maintained it for 1 year, whereas that of IVRO group in which we preserved soft tissue stress was changed in more portion after operation and recovered it by 1 year. By the histochemical results, we can see that the recovery of fiber constituents reflect the recovery of muscle stress and it is closely related with relapse phenomenon.
The quality characteristics and distribution of Shingo pears were investigated for 3 years to establish a reasonable grade Bevel of the fruits. Shingo pears were purchased from the orchards located in five main product areas, Naju, Sangju, Ansung, Ulsan and Asan pears. Quality factory such as greenness, uniformity, defects, size, weight, sweetness, firmness, pH and titratable acidity were measured with the pears. The average greenness (100-yellowness) in Shingo pears for 3 years was 25.27% with variation of 17.72-36.57%. The average height and diameter of Shingo pears were 94.95 mm and 105.61mm, respectively. The average weight was 566.13 g, The average scores of defects on the surface of Shingo pears damaged by physical stress and by insects were 1.23 and 1.03, respectively. The average value of soluble solids content was 12.22$^{\circ}$Brix. The average firmness was 0.96 kgf. The average values of pH and titratable acidity were 5.23 and 0.10 %, respectively. In the results of the study based on assortment of producing districts, ranges in greenness of the pears by cultivating area was 17.23%-32.15%. Defects caused by physical stress and by insects did not show significant differences between cultivating area. Soluble solids content of the pears was ranged from 11.67$^{\circ}$Brix to 12.94$^{\circ}$Brix.
Journal of the Korea Academia-Industrial cooperation Society
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v.18
no.4
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pp.536-543
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2017
This study developed a new methodology to evaluate the carbon storage using a Mobile Mapping System according to the life cycle of street trees. The system for calculating the carbon storage of a roadside tree using the MMS developed in this study consisted of a database, memory, processor, user interface, and communication module. The carbon storage was calculated for 261 trees in the Cheonan-Asan New Town (distance: 2.1 km, area: $283,698m^2$). The average biomass and carbon storage of Metasequoia glyptostroboides were highest at 34.5 kg and 17.3 kg C and Chionanthus retusa were lowest at 19.5 kg and 9.8 kg C, respectively. The total biomass and total carbon storage of Ginkgo biloba were highest at 5028.8 kg and 17.3 kg C and Chionanthus retusa were lowest at 780.7 kg and 390.3 kg C, respectively. Based on the roadside tree database, the amount of carbon storage in a given area was converted to Google format and visualized in 3D by GIS analysis.
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