• Journal of IKEEE
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• v.23 no.2
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• pp.642-651
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• 2019

One of the most important research topics on intelligent transportation systems in recent years is detecting and recognizing a license plate. The license plate has a unique identification data on vehicle information. The existing vehicle traffic control system is based on a stop and uses a loop coil as a method of vehicle entrance/exit recognition. The method has the disadvantage of causing traffic jams and rising maintenance costs. We propose to exploit differential image of camera background instead of loop coil as an entrance/exit recognition method of vehicles. After entrance/exit recognition, we detect the candidate images of license plate using the morphological characteristics. The license plate can finally be detected using SVM(Support Vector Machine). Letter and numbers of the detected license plate are recognized using CNN(Convolutional Neural Network). The experimental results show that the proposed algorithm has a higher recognition rate than the existing license plate recognition algorithm.

• Journal of Medicine and Life Science
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• v.15 no.2
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• pp.46-50
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• 2018

Cancer, a leading mortality disease following cardiovascular disease worldwide, has high incidence as one out of every four adults in Korea. It was known to be caused by several reasons including somatic mutation, activation of oncogene and chromosome aneuploidy. Cancer cells show a faster growth rate and have metastatic and heterogeneous cell populations compared to normal cells. Cancer stem cells, the most invested field in cancer biology, is a theory to explain heterogeneous cell populations of cancer cells among several characteristics of cancer cells, which is providing the theoretical background for incidence of cancer and treatment failure by drug resistance. Cancer stem cells initially explain heterogeneous cell populations of cancer cells based on the same markers of normal stem cells in cancer, in which only cancer stem cells showed heterogeneity of cancer cells and tumor initiating ability of leukemia. Based on these results, cancer stem cells were reported in various solid cancers such as breast cancer, liver cancer, and lung cancer. Breast cancer stem cells were first reported in solid cancer which had tumor initiating ability and further identified as anti-cancer drug resistance. There were several identification methods in breast cancer stem cells such as specific surface markers and culture methods. The discovery of cancer stem cells not only explains heterogeneity of cancer cells, but it also provides theoretical background for targeting cancer stem cells to complete elimination of cancer cells. Many institutes have been developing new anticancer drugs targeting cancer stem cells, but there have not been noticeable results yet. Many researchers also reported a necessity for improvement of current concepts and methods of research on cancer stem cells. Herein, we discuss the limitations and the perspectives of breast cancer stem cells based on the current concept and history.

• ANNALS OF ANIMAL RESOURCE SCIENCES
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• v.28 no.2
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• pp.78-96
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• 2017

Foot-and-mouth disease (FMD) is a infection that can easily spread when it occurs and causes serious economic damage because of the existence of multiple serotypes of the virus and extreme contagiousness. The most effective method in preventing the transmission of FMD virus (FMDV) is the culling of livestock and additional vaccination in the other areas depending on the spreading rate and situation. Diagnostic methods are utilized not only for the definite diagnosis of FMD but also for identification of serotype, and confirmation of antibody production after vaccination. Although many methods have been developed to diagnose, they are not still enough to detect accurately the disease in a short time. Therefore, it has been needed new diagnostic methods improved from existing methods. Previous methods were based on the enzyme-linked immunosorbent assay (ELISA) as a serological diagnostic method, or polymerase chain reaction (PCR), which is a molecular genetic method. The recent technology has been performing about the combination of both methods and how to make it faster, less costly, more sensitive and accurate way.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.2
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• pp.507-513
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• 2021

This study examined the final stop position and posture of both vehicles, the damaged part of the vehicle, the road surface, the specifications of the vehicle, and the angle of impact, centering on the case of a collision in which no surface trace was found. As a result of the simulation, the impact velocity of an SM5 and Lexus was 131 km/h and 74 km/h, respectively, and the impact angle of the SM5 and Lexus was 0.91° and -161.07°, respectively. The cause of the accident was that the SM5 passed through the intersection exceeding the maximum speed limit of 61 km/h and entered the Lexus' left turn lane. Lexus collided during the evacuation to avoid the collision. The collision trajectory error rate of the simulation was approximately 1.4%. Of the subjective experience of accident investigators, the collision dynamics and vehicle engineering aspects and simulations were actively utilized to provide close-to-fact cause identification.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.21 no.3
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• pp.159-168
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• 2021

As the information age enters, the use of biometrics using the body is gradually increasing because it is very important to accurately recognize and authenticate each individual's identity for information protection. Among them, finger vein authentication technology is receiving a lot of attention because it is difficult to forge and demodulate, so it has high security, high precision, and easy user acceptance. However, the accuracy may be degraded depending on the algorithm for identification or the surrounding light environment. In this paper, we designed and manufactured a side-type finger vein recognizer that is highly versatile among finger vein measuring devices, and authenticated using the deep learning model of DenseNet-201 for high accuracy and recognition rate. The performance of finger vein authentication technology according to the influence of the infrared light source used and the surrounding visible light was analyzed through simulation. The simulations used data from MMCBNU_6000 of Jeonbuk National University and finger vein images taken directly were used, and the performance were compared and analyzed using the EER.

• (The) Korean Journal of Educational Psychology
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• v.31 no.2
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• pp.265-282
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• 2017

The purpose of this study was to applicate systematic RTI educational service by providing reading fluency program to identify high-risk students with dyslexia of a shadow zone based on their growth rate. Twenty-two students of 1st to 5th graders were selected as study subjects through "2016 Kyungi-Do Project of the Dyslexia Excellence Program". An individualized reading fluency program was provided through 8-10 sessions over a period of 3 months. The program was developed based on evidence-based reading strategies with the consideration of each student's educational needs. As results, three groups were identified with their learning growth rates: concerned, improving, and discrepancy groups. The study identified three students in a discrepancy group as students with dyslexia. Based on these results, implications and suggestions for further educational identification process along with effect programs were discussed.

• Journal of The Korean Society of Agricultural Engineers
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• v.63 no.1
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• pp.75-87
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• 2021

Air quality related to particulate matters and ammonia is being come to the fore as the national concern in Korea. CAPSS (Clean Air Policy Support System) provides emission coefficients of these kinds of particulate and gaseous matters in the fields of livestock; however reliability issues are consistently mentioned. Evaluation of emission rates of PM2.5 and NH3 of the country is very important, but only few studies are available as the background related to observation of the concentration of the particulate matter and ammonia, especially within livestock house in Korea. In this paper, long-term measurement of PM10, PM2.5, and ammonia within the mechanically ventilated broiler house were carried out to introduce backgrounds of generation and emission of the particulate matters and ammonia. Measurement results were analyzed according to seasonal changes, age of broilers(weeks) and measurement locations. Concentration of inhalable and respirable dust were also evaluated in terms of occupational respiratory health according to increase in broiler's activity. From the results of this study, identification of the generation mechanisms of the particulate and gaseous matters, and evaluation of the emission rate of these in the broiler house will be carried out.

• Journal of IKEEE
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• v.25 no.1
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• pp.193-200
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• 2021

In order to prevent illegal fishing and reduce lost fishing gear, it is necessary to develop a constant and continuous fishing gear monitoring system in the marine environment. In this paper, we design a long-term operational, reliable system model with communication coverage of more than 25Km considering the reality of gradually expanding fishing activity due to the depletion of fishery resources and marine environments. The design results are implemented to verify the operability of the system by separating the communication success rate of SKT and private LoRa networks and verifying the control function of each control system through the collected location information, respectively.

• Korean Journal of Clinical Pharmacy
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• v.30 no.4
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• pp.270-278
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• 2020

Background: Although the identification of clinical and laboratory features in pediatric COVID-19 patients is essential in establishing an appropriate treatment plan, a systematic review and meta-analysis on the topic has yet to be reported. Methods: We searched MEDLINE, Embase, and Web of Science to access clinical and laboratory characteristics as well as clinical outcomes of children with COVID-19 infection. A meta-analysis using random-effect model was performed to estimate pooled prevalence and 95% confidence intervals. Results: Among the 532 studies initially collected, 12 articles were finally included in the meta-analysis. Among the investigated 320 pediatric patients with COVID-19, fever (48.2%) and cough (39.3%) were the most common symptoms. Almost one third of patients (30.4%) were asymptomatic. In laboratory findings, only 11.4% of pediatric patients experienced lymphocytopenia. Increased inflammatory markers including c-reactive protein (18.6%) and procalcitonin (32.4%) were observed. Only a few patients needed mechanical ventilation and intensive care support, and only one death was reported. Conclusion: Pediatric patients with COVID-19 infection exhibited milder symptoms and more favorable outcomes compared to adults. However, considering the high rate of asymptomatic pediatric patients, close monitoring is required to prevent community infection in asymptomatic conditions and hidden disease progression.

• Korean Journal of Veterinary Research
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• v.61 no.4
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• pp.39.1-39.6
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• 2021

The classification of the bone pieces excavated from Gasan-ri archaeological site 1 in Jinju, presumed to be relics was investigated macroscopically. The remains of the animal bone were 3 classes (Mammalia, Aves, Amphibia), 5 orders (Carnivora, Artiodactyla, Galliformer, Rodentia, Salientia), and 6 species (Sus scrofa, Cervidae sp., Nyctereutes procyonides, Phasianidae, Rattus norvegicus caraco, Rana nigromaculata). The total weight of the animal bone remains was 1,002.80 g, with the identified bones comprising 975.30 g and an identification rate of 97.26%. A total of 447 animal bone fragments were identified, including 204 bone pieces of S. scrofa (468.00 g, 47.99%), 102 bone pieces of Cervidae sp. (453.79 g, 46.53%), 68 bone pieces of R. nigromaculata (4.69 g, 0.48%), 59 bone pieces of N. procyonides (47.14 g, 4.83%), 9 bone pieces of Phasianidae (0.98 g, 0.10%), and 5 bone pieces of Rattus norvegicus caraco (0.70 g, 0.07%). The bone pieces of the animal relics consisted of 81 skull (18.12%), 161 axial skeleton (36.02%), 64 forelimb (14.32%), and 141 hindlimb (31.54%) fragments. The archaeological significance of the animal bones excavated in this investigation was that wild boars and deer were presumed to have been mainly used animals in the Gasan-ri area of Jinju during the Three Kingdoms period.