• Journal of the Korean Data and Information Science Society
• /
• v.12 no.1
• /
• pp.51-59
• /
• 2001

We propose the Bayesian testing for the equality of two Lognormal population means. Specially we use the fractional Bayesian factors suggested by O'Hagan (1995) based on the noninformative priors for the parameters. In order to investigate the usefulness of the proposed Bayesian testing procedures, we compare it with classical tests via both real data analysis and simulations.

• Korean Journal of Remote Sensing
• /
• v.19 no.2
• /
• pp.170-179
• /
• 2003

In order to classify Land Use/Land Cover using multispectral images, we have to give consequence to defining proper classes and selecting training sample with higher class separability. The process of satellite hyperspectral image which has a lot of bands is difficult and time-consuming. Furthermore, classification result of hyperspectral image with noise is often worse than that of a multispectral image. When selecting training fields according to the signatures in the study area, it is difficult to calculate covariance matrix in some clusters with pixels less than the number of bands. Therefore in this paper we presented an overview of feature extraction methods for classification of Hyperion data and examined effectiveness of feature extraction through the accuracy assesment of classified image. Also we evaluated the classification accuracy of optimal meaningful features by class separation distance, which is also a method for band reduction. As a result, the classification accuracies of feature-extracted image and original image are similar regardless of classifiers. But the number of bands used and computing time were reduced. The classifiers such as MLC, SAM and ECHO were used.

• The KIPS Transactions:PartB
• /
• v.12B no.7 s.103
• /
• pp.811-822
• /
• 2005

Automated text categorization is to classify free text documents into predefined categories automatically and whose main goals is to reduce considerable manual process required to the task. The researches to improving the text categorization performance(efficiency) in recent years, focused on enhancing existing classification models and algorithms itself, but, whose range had been limited by feature based statistical methodology. In this paper, we propose RTPost system of different style from i.ny traditional method, which takes fault tolerant system approach and data mining strategy. The 2 important parts of RTPost system are reinforcement training and post-processing part. First, the main point of training method deals with the problem of defining category to be classified before selecting training sample documents. And post-processing method deals with the problem of assigning category, not performance of classification algorithms. In experiments, we applied our system to documents getting low classification accuracy which were laid on a decision boundary nearby. Through the experiments, we shows that our system has high accuracy and stability in actual conditions. It wholly did not depend on some variables which are important influence to classification power such as number of training documents, selection problem and performance of classification algorithms. In addition, we can expect self learning effect which decrease the training cost and increase the training power with employing active learning advantage.

• Journal of Labour Economics
• /
• v.33 no.2
• /
• pp.53-89
• /
• 2010

Curricula relevant to labor market needs are often designed with the goals of individual employment and regional development at the forefront. This study provided information on regional scope by investigating the extent and determinants of the geographic mobility of vocational high school graduates and the effects of that mobility on first-job wage rates. Geographic mobility was defined as being employed in other provinces in which vocational schools were located. About 38% of graduates were employed in other provinces. Geographic mobility was positively related to gender and human capital such as health, course of study, vocational certificate, and job training. Mobility led to higher wage rates even after controlling for sample selection bias. The implication is that vocational high school curricula which focus excessively on provincial concerns may weaken a workforce's effectiveness.

• Journal of Navigation and Port Research
• /
• v.37 no.4
• /
• pp.359-366
• /
• 2013

The objective of the research was to study the determinants affecting the decision to study nautical science program within a Thai maritime institute in preparation for working post-graduation as a ship officer on a merchant ship. The samples are classified by institute, academic year, cumulative score level, domicile, and parent's monthly income. The total sample of study was 386 Thai merchant marine students. The data collection method was a one to five rating scale questionnaire. The statistical methods applied in analyzing the data were percentage, mean, standard deviation, t-test, one way analysis of variance and a Sheffe's test. The study shows seven factors that influenced the decision in descending order; expectations, tuition and scholarships, selection system, quality of the institute, background and private capability, generality of the institute and external influences on the decision. The decision to select an institute was classified by institute and revealed that different institutes had distinct determinants that led to the decision. The students were from The Merchant Marine Training Center and from The International Maritime College, Kasetsart University were differences. There were no dissimilarity between academic year, cumulative score level, domicile, and parent's monthly income.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.15 no.10
• /
• pp.3608-3626
• /
• 2021

The detection of bolts is an important task in high-speed train inspection systems, and it is frequently performed to ensure the safety of trains. The difficulty of the vision-based bolt inspection system lies in small sample defect detection, which makes the end-to-end network ineffective. In this paper, the problem is resolved in two stages, which includes the detection network and cascaded classification networks. For small bolt detection, all bolts including defective bolts and normal bolts are put together for conducting annotation training, a new loss function and a new boundingbox selection based on the smallest axis-aligned convex set are proposed. These allow YOLOv3 network to obtain the accurate position and bounding box of the various bolts. The average precision has been greatly improved on PASCAL VOC, MS COCO and actual data set. After that, the Siamese network is employed for estimating the status of the bolts. Using the convolutional Siamese network, we are able to get strong results on few-shot classification. Extensive experiments and comparisons on actual data set show that the system outperforms state-of-the-art algorithms in bolt inspection.

• The Journal of the Korea Contents Association
• /
• v.21 no.5
• /
• pp.488-498
• /
• 2021

This study applied Flipped Learning teaching and learning method to Basics Cooking Practice Subject using YouTube. The purpose of this study is to investigate whether the curriculum is properly progressing by grasping the effects of before and after learning and analyzing learners' subjectivity through the learning process. The investigation period was conducted from August 01, 2020 to September 10, 2020. According to the research design of Q Methodology, it was divided into five stages: Q sample selection, P sample selection, Q sorting, coding and recruiting, conclusion and discussion. As a result of the analysis, the first type (N=5): Prior Learning effect, the second type (N=7): Simulation practice effect, and the third type (N=3): self-efficacy effect. As a result, by applying the flipped learning teaching method of the Basics Cooking Practice Subject using YouTube, positive effects such as inducing interest in the class and increasing confidence were found in active learners, but some learners lacked understanding of the system of the class operation method. However, the lack of number of training sessions compared to other subjects is considered to be a solution to be solved later.

• The Korean Journal of Emergency Medical Services
• /
• v.11 no.1
• /
• pp.73-80
• /
• 2007

This study is a descriptive survey research to know the levels of job satisfaction and influential factors for emergency medical technicians(EMT). This study sampled Level 1 and Level 2 Rescue Members from fire stations and EMT from general hospitals in the Gwangju City and JeollaNamdo area. Interviews for the 75 participants of this convenience sample were conducted for a two month period from July to September 2006. Data was collected on interviewing questionnaires. When looking at the results above internal factions were most influential towards satisfaction and self-responsibility, fulfillment, displays of Aptitude were highest for satisfaction. However, organizational factors were the lowest. There is a need for reform in promotion term periods and policy as well as promotion opportunities. Influential factors for job satisfaction were Role Performance Ability, Intentions for Changing Jobs, and Job Selection Motivation. Therefore, the more insufficient your ability to perform your job the less satisfied you are with it and the more fear you feel from experiences on the job the less satisfied you are with your job. Henceforth, there is a need to reform the educational programs offered to EMT for job training emphasizing job performance ability and the ability to judge for oneself on emergency situations, and reform the promotional system. Finally, there is a need for psychological consultation to offer stability to those after treating an emergency situation and encouragement for personal religion.

• Journal of Korean society of Dental Hygiene
• /
• v.17 no.6
• /
• pp.957-967
• /
• 2017

Objectives: This study consisted of a literature review on oral health among people with disabilities, and to present the factors that should be considered in developing an oral health program for people with disabilities. Methods: The key words 'people with disabilities' and 'oral health' were searched in 4 Korean academic journals and 5 online search engines and a total of 635 papers were identified. Duplicate papers were removed, and the literature selection criteria were applied to the remaining papers. Finally, a total of 45 papers were used in the review. Results: First, people with disabilities were the most common research subjects, followed by dental students, dental hygiene students, dentists, dental hygienist and guardians and special education teachers. Second, the most frequently studied research topic was dental examination, followed by oral health behavior and behavior of using dental clinics. Third, research purposes included the status of oral health, the quality of oral health, dental treatment, the use of oral health service, and oral hygiene behavior and perception. Fourth, the most frequently discussed policy task was expansion of research subjects, followed by oral hygiene and policy development. Conclusions: To enhance the oral health of people with disabilities who have difficulty in keeping their teeth clean and healthy on their own, development of an oral hygiene training program is required not only for people with disabilities, but also for guardians and teachers. It is equally important to examine oral health behavior that could potentially affect the status of oral health and create a more accurate and systematic oral hygiene method. In addition, the government, together with various other research institutes, should conduct an oral health survey of a representative sample of people with disabilities to determine oral health status and facilitate improvements to oral hygiene programs.

• Korean Journal of Veterinary Research
• /
• v.39 no.4
• /
• pp.730-737
• /
• 1999

A national animal health monitoring system(NAHMS) in Gyeongnam area was started from 1997 to develop statistically valid data for use in estimating disease frequencies in dairy cattle, and the associated costs. The objectives of this study were to : (1) discribe what was done to implement and maintain the system in Gyeongnam ; (2) present selected disease frequencies ; (3) discuss the epidemiological consideration of what was done and implications for the results obtained. Veterinary Medical Officers(VMOs-professors and graduate students from Gyeongsang National University, Faculty of Gyeongnam Livestock Promotion Institute, and Clinic veterinarians) served as data collectors. After training on current disease and management problems of dairy cattle, interview techniques, sampling methods, and data collection instruments, the VMOs participated in selection of the sample herds and data gathering. Forty of 167 dairy herds were selected randomly and the VMOs visited farms once a month for 12 months to collect data about management, disease, inventory, production, preventive treatment, financial and any other relevant data. Strict data quality control devices were used. Specific feed-back was developed for the producers and data collectors. Of the three age groups studied, cows had the greatest number of disease problems. The six disorders found most frequently were (from the highest to the lowest) breeding problems, clinical mastitis, birth problems, gastrointestinal problems. metabolic problems, and lameness. In young stock, respiratory, multiple system, breeding problems, and gastrointestinal problems were pre dominant, whereas in calves, gastrointestinal, respiratory, and integumental problems were major.