• Journal of the Korean Society of Radiology
• /
• v.15 no.2
• /
• pp.153-158
• /
• 2021

X-ray image analysis is a very important field to improve the early diagnosis rate and prediction accuracy of periodontal disease. Research on the development and application of artificial intelligence-based algorithms to improve the quality of such dental X-ray images is being widely conducted worldwide. Thus, the aim of this study was to design a super-resolution algorithm for predicting periodontal disease and to evaluate its applicability in dental X-ray images. The super-resolution algorithm was constructed based on the convolution layer and ReLU, and an image obtained by up-sampling a low-resolution image by 2 times was used as an input data. Also, 1,500 dental X-ray data used for deep learning training were used. Quantitative evaluation of images used root mean square error and structural similarity, which are factors that can measure similarity through comparison of two images. In addition, the recently developed no-reference based natural image quality evaluator and blind/referenceless image spatial quality evaluator were additionally analyzed. According to the results, we confirmed that the average similarity and no-reference-based evaluation values were improved by 1.86 and 2.14 times, respectively, compared to the existing bicubic-based upsampling method when the proposed method was used. In conclusion, the super-resolution algorithm for predicting periodontal disease proved useful in dental X-ray images, and it is expected to be highly applicable in various fields in the future.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.20 no.4
• /
• pp.303-310
• /
• 2019

The purpose of this study was to compare the oralmyofunctions (occlusal force, tongue pressure, lip force) of adults and elderly people. And analyzed the factors affecting oral health related quality of life and dysphagia. The study was conducted on 73(over 20 years of age) Residing in Daejeon and Nonsan From December 2017 to May 2018. The data was analyzed using one-way ANOVA, pearson's correlation and multiple regression. The masticatory strength of each age group evaluated the right and left posterior occlusal forces. the elderys group (8.93, 10.80) were lower than adults group(12.51, 14.61) and middle age group(11.63, 14.75)(p>0.05). The tongue pressure was statistically significant lower in eldery group(37.43) than the adult group(60.55), middle-aged group(50.61) (p=0.000). In addition lip force was significantly lower in eldery group(8.57) than adult(12.01), middle-aged(11.37)(p= 0.000). The tongue pressure was positively correlated with the number of natural teeth(r=.566, p<.05), and the lip force (r=.497, p<.05). The quality of life quality related to oral health and dysphagia was tongue strength(p<0.05). It is necessary to recognize the risk of declining oral muscle function caused by aging. especially tongue strength is associated with quality of life and dysphagia. In order to improve the quality of life related to oral health in the aged society, the necessity of regular oral administration and oral muscle training was proposed.

• Sleep Medicine and Psychophysiology
• /
• v.25 no.2
• /
• pp.58-67
• /
• 2018

Objectives: The purpose of this pilot study was to examine the effects of a mindfulness-based Body-Mind Intervention Program using marine resources on the improvement of quality of sleep, mood symptoms, and cognitive function in Korean female emotional labor workers. Methods: Twelve female workers who experienced excess emotional labor participated at the training camp program for five days in Danghangpo-ocean park, Goseung-gun, Gyeongnam Province in South Korea. Participant sleep quality, mood symptoms, and cognitive functioning before, after, and 1.5 months later were evaluated and analyzed. Results: After participating in the marine resource program, participants reported significantly decreased sleep latency. Global sleep quality, cognitive functions (attention, flexibility, and inhibition control), and mood states, including depression, tension, anger, fatigue, were also improved. These effects were generally maintained after 1. 5 months (PSQI t = 2.63, p = 0.02 ; HAM-D t = 5.92, p < 0.001). Conclusion: A Body-Mind Intervention Program using marine resources was effective in relaxing emotion-related tension and improving cognitive function. To advance this pilot study, it is necessary to carry out further research to investigate the use of marine resources in mental health interventions.

• Journal of Convergence for Information Technology
• /
• v.11 no.3
• /
• pp.54-67
• /
• 2021

This study is a secondary data study that analyzes the factors affecting the quality of life of the elderly with metabolic syndrome and the elderly with metabolic syndrome with osteoporosis using data from the 7th year of the National Health and Nutrition Survey (2018). The subjects of this study were 639 patients with metabolic syndrome and 161 patients with metabolic syndrome with osteoporosis. For data analysis, the composite sample Rao-Scott χ2 test, general linear model t-test, and regression model were used. As a result of the study, the factors that lowered the quality of life of metabolic syndrome were age, cohabitation, strength training, subjective health status, activity restriction, body mass index and depression, and the explanatory power was 50.4% (F=515.96, p<.001). In metabolic syndrome with osteoporosis, age, subjective health status, activity restriction, and stress were the factors that lowered the quality of life, and the explanatory power was 48.6% (F=10.42, p<.001). Based on these results, it is necessary to develop and provide an intensive multidisciplinary program for the elderly with metabolic syndrome accompanied by osteoporosis to solve the problem of activity restrictions and manage stress reduction through positive acceptance of health status, instrumental and social support, and caring support.

• International Journal of Computer Science & Network Security
• /
• v.22 no.7
• /
• pp.35-42
• /
• 2022

The article identifies the problem of monitoring the quality of higher education in three main areas, which are comparative pedagogical systems of education. The first direction is determined by dissertation works, the second - monographs and textbooks, and the third reveals scientific periodicals. According to its internal structure, monitoring the quality of education combines important management components identified in the article (analysis, evaluation and forecasting of processes in education; a set of methods for tracking processes in education; collecting and processing information to prepare recommendations for research processes and make necessary adjustments). Depending on the objectives, three areas of monitoring are identified: informational (involves the accumulation, structuring and dissemination of information), basic (aimed at identifying new problems and threats before they are realized at the management level), problematic (clarification of patterns, processes, hazards, those problems that are known and significant from the point of view of management). According to its internal structure, monitoring the quality of education combines the following important management components: analysis, evaluation and forecasting of processes in education; a set of techniques for tracking processes in education; collection and processing of information in order to prepare recommendations for the development of the studied processes and make the necessary adjustments. One of the priorities of the higher education modernization program during the COVID-19 pandemic is distance learning, which is possible due to the existence of information and educational technologies and communication systems, especially for effective education and its monitoring in higher education. The conditions under which the effectiveness of pedagogical support of monitoring activities in the process of distance learning is achieved are highlighted. According to the results of the survey, the problems faced by higher education seekers are revealed. A survey of students was conducted, which had a certain level of subjectivity in personal assessments, but the sample was quite representative.

• Journal of the Korea Society of Computer and Information
• /
• v.28 no.12
• /
• pp.147-153
• /
• 2023

As it spreads to all industries of artificial intelligence technology, AIaaS equipped with artificial intelligence services is emerging. In particular, non-IT companies are suffering from the absence of software experts, difficulties in training big data models, and difficulties in collecting and analyzing various types of data. AIaaS makes it easier and more economical for users to build a system by providing various IT resources necessary for artificial intelligence software development as well as functions necessary for artificial intelligence software in the form of a service. Therefore, the supply and demand for such cloud-based AIaaS services will increase rapidly. However, the quality of services provided by AIaaS becomes an important factor in what is required as the supply and demand for AIaaS increases. However, research on a comprehensive and practical quality evaluation metric to measure this is currently insufficient. Therefore, in this paper, we develop and propose a usability, replacement, scalability, and publicity metric, which are the four metrics necessary for measuring reusability, based on implementation, convenience, efficiency, and accessibility, which are characteristics of AIaaS, for reusability evaluation among the service quality measurement factors of AIaaS. The proposed metrics can be used as a tool to predict how much services provided by AIaaS can be reused for potential users in the future.

• International Journal of Quality Innovation
• /
• v.8 no.3
• /
• pp.81-112
• /
• 2007

In the competitive global market, firms have to keep profit from innovation activities. A firm makes profits by offering products or services at a lower cost than its competitors or by offering differentiated products at premium prices that more than compensate for the extra cost of differentiation. The IC Package and Testing technology industries were the first high technological industry to build in Taiwan. The Package and Testing industries in Taiwan adopted competitive innovation activities to become stronger. In our study, we want to know how innovation activities influence a firm operating in the IC Package and Testing industries. Our study used a questionnaire and Likert five-point scale to survey the innovation activities, customer and feedback in innovation performance in the IC Package and Testing industry. The wafer level chip size packing technology in our study indicates the innovation activities. Because we need to compare the difference between the wafer level chip size packing technology and wire bonding technology to recognize innovation and how the innovator and customer were influenced. Our conclusions are described below: (1) When the innovator adopts innovation activities that can be maintained using experiments and knowledge, using machine and decision variables more quickly will produce success; (2) Innovators should adopt innovation activities that focus on customers that use knowledge and experimentation, training time and cost. If an innovation forces customers to spend much time and cost to learn new technology or applications, the innovation will not be adopted; (3) Innovators that create innovation performance higher than his customers must also consider the impact upon their customers. We have to remind innovator to focus on why their customers have a different level of evolution in the same innovation activities.

• Journal of Power Electronics
• /
• v.15 no.3
• /
• pp.621-633
• /
• 2015

This paper proposes the analysis and design of a DC-side symmetrical zero-current-switching (ZCS) Class-D current-source driven resonant rectifier to improve the low power-factor and high line current harmonic distortion of lighting applications. An analysis of the junction capacitance effect of Class-D ZCS rectifier diodes, which has a significant impact on line current harmonic distortion, is discussed in this paper. The design procedure is based on the principle of the symmetrical Class-D ZCS rectifier, which ensures more accurate results and provides a more systematic and feasible analysis methodology. Improvement in the power quality is achieved by using the output characteristics of the DC-side Class-D ZCS rectifier, which is inserted between the front-end bridge-rectifier and the bulk-filter capacitor. By using this symmetrical topology, the conduction angle of the bridge-rectifier diode current is increased and the low line harmonic distortion and power-factor near unity were naturally achieved. The peak and ripple values of the line current are also reduced, which allows for a reduced filter-inductor volume of the electromagnetic interference (EMI) filter. In addition, low-cost standard-recovery diodes can be employed as a bridge-rectifier. The validity of the theoretical analysis is confirmed by simulation and experimental results.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.21 no.6
• /
• pp.374-382
• /
• 2020

The purpose of this study is to improve the learning speed of an ammunition stockpile reliability classification artificial neural network model by proposing a normalization method that reduces the number of input variables based on the characteristic of Ammunition Stockpile Reliability Program (ASRP) data without loss of classification performance. Ammunition's performance requirements are specified in the Korea Defense Specification (KDS) and Ammunition Stockpile reliability Test Procedure (ASTP). Based on the characteristic of the ASRP data, input variables can be normalized to estimate the lot percent nonconforming or failure rate. To maintain the unitary hypercube condition of the input variables, min-max normalization method is also used. Area Under the ROC Curve (AUC) of general min-max normalization and proposed 2-step normalization is over 0.95 and speed-up for marching learning based on ASRP field data is improved 1.74 ~ 1.99 times depending on the numbers of training data and of hidden layer's node.

• The Journal of Korean Association of Computer Education
• /
• v.20 no.3
• /
• pp.25-33
• /
• 2017

Countries that considered importance of the quality management of higher education are strengthening through various systems and methods. Field of computer science also, they have constantly made efforts, such as constituting standards of curriculum for the management of the quality of higher education. If we know the priorities of the knowledge area mentioned in the standard of curriculum of computer science, we can give implications to the composition of the content system. Therefore, we derive the ranking based on base on CS2013 the lesson time number of Tier 1, Tier 2, Elective, and detail areas for content elements. As a result, the knowledge area with the highest priority was Software Development Fundamentals. The knowledge area is recommended as a beginner course in CS2013 because it is a basic element. The priorities of these areas may provide implications for future elementary and secondary informatics curriculum, higher liberal arts informatics curriculum, Informatics curriculum of teacher training agency.