• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.37 no.3
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• pp.119-127
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• 2019

In this study, we investigated the application of deep learning to the manufacturing process of traffic and road signs which are constituting the road layer in map production with 1 / 1,000 digital topographic map. Automated classification of road traffic sign images was carried out through construction of training data for images acquired by using transfer learning which is used in image classification of deep learning. As a result of the analysis, the signs of attention, regulation, direction and assistance were irregular due to various factors such as the quality of the photographed images and sign shape, but in the case of the guide sign, the accuracy was higher than 97%. In the digital mapping, it is expected that the automatic image classification method using transfer learning will increase the utilization in data acquisition and classification of various layers including traffic safety signs.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.28 no.4D
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• pp.539-543
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• 2008

The Directional sign system in Korean high speed railway stations has a lot of problems. For an example, It lacks of consistency in the shape or allocation. Also, the signs do not match with the actual directions sometimes. Last but not least, the view is blocked by the other signs such as advertisement or other barriers. We suggested the methods to standardize the sign systems that include visibility, accuracy, consistency, and simplicity. First, we categorized signs into directional signs, locational signs, and infomational signs. Then, we examined the actual high speed railway stations in Korea to learn the real situation. Finally, we suggested the methods to standardize the sign systems considering the factors that are visibility, accuracy, consistency, and simplicity.

• The Korean Journal of Nuclear Medicine
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• v.34 no.4
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• pp.344-352
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• 2000

Purpose: Re-188-Hydroxyethylidene diphosphonate (HEDP) is a new cost-effective agent for systemic radioisotope therapy of metastatic bone pain. We investigated the influence of carrier for labeling and biodistribution of Re-188-HEDP using HEDP kit with or without carrier ($KReO_4$). Materials and Methods: The kits (HEDP 15 mg, gentisic acid 4 mg and $SnCl_2.2H_2O_2$ 4.5 mg) with or without carrier ($KReO_4$ 0.1 mg) were labeled with Re-188 solution, made available from an in-house generator by boiling for 15 min. We compared the labeling efficiency and stability of carrier-added and carrier-free preparations of Re-188-HEDP Biodistribution and imaging studies of each preparation were performed in ICR mice ($1.85{\sim}3.7MBq/0.1ml$) and SD rats ($74.1{\sim}85.2MBq/0.5ml$). Results: The carrier-added preparation showed high labeling efficiency (95% at pH 5) and high stability in serum (88%, 3 hr). However, the carrier-free preparation showed low labeling efficiency (59% at pH 5) and low stability (43%, 3 hr). The carrier-added preparation showed high uptake in bone and low uptake in stomach and kidneys. However, the carrier-free preparation showed lower uptake in bone and higher uptake in both stomach and kidneys, which is supposed to be due to released perrhenate. The carrier-added preparation also showed better images with higher skeletal accumulation, lower uptake in other organs and lower soft tissue uptake than the carrier-free preparation. Conclusion: The results of these studies clearly demonstrate that addition of carrier perrhenate is required for high labeling efficiency, stability, bone uptake and good image quality of Re-188-HEDP.

• Corrugated packaging logistics
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• no.61
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• pp.36-37
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• 2005

• The Monthly Technology and Standards
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• s.19
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• pp.58-58
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• 2003

• Korean Journal of Bronchoesophagology
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• v.3 no.2
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• pp.218-225
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• 1997

• International Journal of Highway Engineering
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• v.10 no.2
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• pp.101-113
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• 2008

VMS are installed in many Korean highways in oder to give drivers informations such as travel time to destination, congestion and Incident situation. However, some guidelines for install VMS are restricted in only geometric factors although human factors considering driver behavior are very important to affect the VMS installation. Therefore, this paper are focusing on developing and verifying the discriminant model for VMS installation considering human factors. As a result, following outputs are obtained ; (1) developing the discriminant model using human factors of driving simulation experiments in oder to predict driver reading VMS messages safely detour highway. (2) proving that driving experiences in highway, personal driving history, vehicle speed orderly affects VMS installation (3) verifying predictability of developed model by comparing the real values with predicted values. (4) suggesting that VMS should be installed off 3.2Km from the I.C. of rural highway.

• Food Science of Animal Resources
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• v.24 no.1
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• pp.8-14
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• 2004

Identification of animals has been made with an ear tag with dummy code, and blood typing has been used for paternity and individual identification in live animals. As various genetic markers are for different cattle breeds vary, the discrete genetic markers are necessary to identify Hanwoo. A total of 740 progeny testing Hanwoo were used to identify Hanwoo specific markers. To examine traceability of individuals by using breed specific genetic codes, four animal were randomly sampled, and traced from live animals to post-slaughter processing stages. The candidate genetic makers used in the study were 16 DNA microsatellites which were identified in romosomes 1 and 14. The number of alleles of those DNA microsatellites ranged from a minimum of 3 to maximum of 12. The heterozygote frequency ranged from 0.022 to 0.824. Effective number of alleles for each DNA microsatellites were 3 to 6. Six selected candidate genetic markers were able ti trace individual cattle with an 100% confidence level.

• Journal of IKEEE
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• v.18 no.4
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• pp.485-494
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• 2014

Traffic Sign Recognition(TSR) is an important element in an Advanced Driver Assistance System(ADAS). However, many studies related to TSR approaches only in normal daytime environment because a sign's unique color doesn't appear in poor environment such as night time, snow, rain or fog. In this paper, we propose a new TSR algorithm based on machine learning for daytime as well as poor environment. In poor environment, traditional methods which use RGB color region doesn't show good performance. So we extracted sign characteristics using HoG extraction, and detected signs using a Support Vector Machine(SVM). The detected sign is recognized by a decision tree based on 25 reference points in a Normalized RGB system. The detection rate of the proposed system is 96.4% and the recognition rate is 94% when applied in poor environment. The testing was performed on an Intel i5 processor at 3.4 GHz using Full HD resolution images. As a result, the proposed algorithm shows that machine learning based detection and recognition methods can efficiently be used for TSR algorithm even in poor driving environment.

• The Journal of the Korean bone and joint tumor society
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• v.13 no.2
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• pp.67-74
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• 2007

Purpose: To evaluate association of giant cell tumors recurrence between markers of proliferation cells (MCM3, Ki-67 and HH3) Materials and Methods: Ten case of giant cell tumor of bone were reviewed. The patients were six males and four females (mean age: 33 yrs). All patients were done operation after biopsy. The radiologic grading was determined according to Enneking grading system. The immunohistochemical stains of MCM3, HH3, and Ki-67 were done with Microarray block. Results: The three cases of 10 cases (30%) were recurred at same sites. Two case of recurrence was grade II according to radiologic features. The remaining case was grade I. The expression rate of immunohistochemical markers in radiologic grade 2 and 3 were more increased than grade 1. But there was not association between radiologic grading and proliferation of tumor cells because result data was not coherence. Mean MCM3 labeling index of non-recurred case was 11.2%, recurred case was 7.2%. Ki-67 was 12% vs. 8.9%, respectively and HH3 was 66.9 % vs. 75.4%, respectively. Thus there was no association between local recurrence and immunohistochemical Ki-67, MCM3 expression rate. But HH3 marker expression rate was increased in recurred cases compared to non-recurred cases. Conclusion: Our study suggests that HH3 immunohistochemical marker can be a useful prognostic factor.