• International Journal of Computer Science & Network Security
• /
• v.22 no.11
• /
• pp.63-70
• /
• 2022

At the present stage, the main directions of the professional position of a specialist in the implementation of English-language Education are to improve and spread the practice of learning languages throughout a person's life by involving information, communication and digital technologies in the educational process. Computerization of the educational process in Higher Education Institutions is considered as one of the first and most promising areas for improving the quality of education in Higher Education Institutions. The necessity of ensuring timely training and retraining of specialists of various profiles (in particular teachers) on the effective use of domestic and foreign electronic resources with the help of modern information technologies for the implementation of the professional position of a future specialist in a foreign-language environment is noted. The main goal of teaching a foreign language (the formation of students' communicative competence, which means mastering the language as a means of intercultural communication) is defined. The types of speech activity that cover the content of teaching a foreign language are highlighted. The main types of assessment in a foreign language are shown - current (non-classroom), thematic, semester, annual assessment and final state certification. The task of the teacher is drawn, which is to create conditions for practical language acquisition for each student, to choose such teaching methods by means of information technologies that would allow each student to show their activity, their creativity; to activate the cognitive activity of the student in the process of learning a foreign language.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.17 no.12
• /
• pp.3383-3397
• /
• 2023

Scene graphs serve as semantic abstractions of images and play a crucial role in enhancing visual comprehension and reasoning. However, the performance of Scene Graph Generation is often compromised when working with biased data in real-world situations. While many existing systems focus on a single stage of learning for both feature extraction and classification, some employ Class-Balancing strategies, such as Re-weighting, Data Resampling, and Transfer Learning from head to tail. In this paper, we propose a novel approach that decouples the feature extraction and classification phases of the scene graph generation process. For feature extraction, we leverage a transformer-based architecture and design an adaptive calibration function specifically for predicate classification. This function enables us to dynamically adjust the classification scores for each predicate category. Additionally, we introduce a Distribution Alignment technique that effectively balances the class distribution after the feature extraction phase reaches a stable state, thereby facilitating the retraining of the classification head. Importantly, our Distribution Alignment strategy is model-independent and does not require additional supervision, making it applicable to a wide range of SGG models. Using the scene graph diagnostic toolkit on Visual Genome and several popular models, we achieved significant improvements over the previous state-of-the-art methods with our model. Compared to the TDE model, our model improved mR@100 by 70.5% for PredCls, by 84.0% for SGCls, and by 97.6% for SGDet tasks.

• Journal of the Korean BIBLIA Society for library and Information Science
• /
• v.35 no.2
• /
• pp.135-156
• /
• 2024

Librarians facing the new information environment need to actively cope with knowledge and skills, but librarians in outsourced public libraries are burdened with participation in external education due to concerns about work gaps or inadequate institutional support, making it difficult to continue their education. Therefore, in this study, in order to create an environment in which librarians can grow together, the current status of the activities of the learning community was checked and the effects were identified. An online survey was conducted from May 20 to 22, 2023, targeting librarians who had participated in learning community activities among librarians belonging to the Gangnam-gu Library, and 101 copies were distributed to collect 81 copies and use them as analysis data. As a result of the study, it was confirmed that librarians are satisfied with the activities of the learning community and have a high level of understanding and empathy for their necessity. Therefore, as a way to revitalize the learning community, we propose to form a culture that promotes collaboration among members, share visions and values for learning community activities, and provide institutional support.

• The Journal of the Convergence on Culture Technology
• /
• v.10 no.3
• /
• pp.801-807
• /
• 2024

Linear motion robots are devices that perform functions such as transferring parts or positioning devices, and require high precision. In companies that develop linear robot application systems, human workers are in charge of quality control and fault diagnosis of linear robots, and the result and accuracy of a fault diagnosis varies depending on the skill level of the person in charge. Recently, there have been many attempts to utilize artificial intelligence to diagnose faults in industrial devices. In this paper, we present a system that automatically diagnoses linear rail and ball screw misalignment of a linear robot using transfer learning. In industrial systems, it is difficult to obtain a lot of learning data, and this causes a data imbalance problem. In this case, a transfer learning model configured by retraining an established model is widely used. The information obtained by using an acceleration sensor and torque sensor was used, and its usefulness was evaluated for each case. After converting the signal obtained from the sensor into a spectrogram image, the type of abnormality was diagnosed using an image recognition artificial intelligence classifier. It is expected that the proposed method can be used not only for linear robots but also for diagnosing other industrial robots.

• Fashion & Textile Research Journal
• /
• v.26 no.1
• /
• pp.110-122
• /
• 2024

This study aims to cultivate specialized professionals equipped with practical skills essential for compliance with textile environmental regulations and analysis of harmful substances. This is achieved through the revision and restructuring of educational programs targeting workers in the chemical analysis industry. To address this, a survey was conducted among chemical industry workers in small and medium-sized enterprises (SMEs) to gauge the demand for educational programs. Specifically, a survey was conducted among 240 SME workers who participated in the 2022 education curriculum to identify their educational needs and specific requirements in the field. The research findings indicate that the majority of SMEs recognize the necessity of education in the chemical field and express a strong willingness to engage in the curriculum. Particularly emphasized was the need to enhance practical skills crucial for compliance with chemical environmental regulations. Consequently, adjustments were made to the curriculum, reallocating time and increasing the duration of practical training. This enables trainees to directly operate analysis machines and interpret results. Additionally, in response to further educational demands reflected by survey participants, the curriculum was expanded from five to six courses, with adjustments made to existing educational programs. Based on these research outcomes, practical educational methods tailored to SME requirements are proposed, aiming to bridge the gap between regulatory compliance and industry needs.

• IEMEK Journal of Embedded Systems and Applications
• /
• v.19 no.3
• /
• pp.151-158
• /
• 2024

Although on-device artificial intelligence (AI) has gained attention to diagnosing machine faults in real time, most previous studies did not consider the model retraining and redeployment processes that must be performed in real-world industrial environments. Our study addresses this challenge by proposing an on-device AI-based real-time machine fault diagnosis system that utilizes continual learning. Our proposed system includes a lightweight convolutional neural network (CNN) model, a continual learning algorithm, and a real-time monitoring service. First, we developed a lightweight 1D CNN model to reduce the cost of model deployment and enable real-time inference on the target edge device with limited computing resources. We then compared the performance of five continual learning algorithms with three public bearing fault datasets and selected the most effective algorithm for our system. Finally, we implemented a real-time monitoring service using an open-source data visualization framework. In the performance comparison results between continual learning algorithms, we found that the replay-based algorithms outperformed the regularization-based algorithms, and the experience replay (ER) algorithm had the best diagnostic accuracy. We further tuned the number and length of data samples used for a memory buffer of the ER algorithm to maximize its performance. We confirmed that the performance of the ER algorithm becomes higher when a longer data length is used. Consequently, the proposed system showed an accuracy of 98.7%, while only 16.5% of the previous data was stored in memory buffer. Our lightweight CNN model was also able to diagnose a fault type of one data sample within 3.76 ms on the Raspberry Pi 4B device.

• Korean Journal of Social Welfare
• /
• v.58 no.1
• /
• pp.31-58
• /
• 2006

The purpose of this article is to analyze the structure and characteristics of the care manager systems of the long term care insurance in Japan's social welfare institution. In order to realize such purposes, this paper develops the discussion process as follows. Firstly, this paper examines the developmental processes and contents of the long term care insurance system and the care plan services which are the services to aid the utilization of long term care services. Secondly, this paper describes the care manager which conducts the role of care plan services intentively. Thirdly, this paper makes the research framework which is formulated as the legislative views about the care manager on the long term care insurance act, task systems, recruitment and retraining systems, and research data of care manager. Summarizing the contents of care manager's circumstances and characteristics about the long term care insurance, the results are explained as follows. that is to define care manager's status as the components of care plan center, to control indirectly the activities of care manager's care plan by operating care service center and care plan center in equal corporate, to set role and task ambiguously, to recognize care manager's role as the attributed role of care service center, to give licence and qualification in local government. Therefore, it's difficult to realize care plan depending on speciality and neutrality for the service user. The essential parts for the reform of care manager systems may be to separate care service center and care plan center and to redefine the task and role of care manager, the role and task of which should be put on care plan services.

• Korean Business Review
• /
• v.23 no.1
• /
• pp.45-68
• /
• 2010

Current oversupply of college graduates is the need in the industry, but the absolute lack of manpower and the company's dissatisfaction with graduates of the retraining costs borne by businesses increases with the overall gap between university education and industry is causing a scene. Particularly job-oriented vocational training colleges for the purpose of sahoegak areas of professional knowledge, teaching theory, research, and cultivate talent, and social development of countries required to cultivate professional personnel for the purpose were established. However, the purpose of today's college founded largely on these off, which reflects the needs of industry through the development of the curriculum of colleges established in the original intent and purpose of the on demand came to be intellectually and socially. Reflect the needs of industrial on-site training is the development "of industrial units for each job through the job analysis is required in college to acquire job skills training to be a list of subjects and the importance of each subject and analyzed the incidence and Curriculum Development Reflected in and through which industry and the job comes from the college curriculum to eliminate the gap between research. Research-oriented job analysis methods commonly used in curriculum development, DACUM technique was used, through which subjects daebipyo skills, selection of the companies surveyed set of job model, job creation and the job description and job specification we analyze it using a group of experts to evaluate the interview and questionnaire via WEB to evaluate the results of the educational process.

• Asian Pacific Journal of Cancer Prevention
• /
• v.16 no.16
• /
• pp.6987-6990
• /
• 2015

Background: Oral cancer is one of the most prevalent cancers and one of the top ten causes of death in the whole world. Most oral cancers are diagnosed at late stages. Since dentists play a critical role in early detection of oral cancer, they should be knowledgeable and skillful in oral cancer diagnosis. The aim of this study was to survey dentist knowledge about oral cancer in Southern Khorasan Province. Materials and Methods: This descriptive, cross-sectional study was conducted with dentists who participated in an in-service educational program at the Faculty of Dentistry of Birjand University of Medical Sciences in spring 2014. A questionnaire including demographic information with 11 questions regarding oral cancer was prepared. The participants were required to be complete the questionnaires within a specific time span. The data were analyzed using SPSS 15 software by t-test and one-way ANOVA at 0.05 confidence level. Results: A total of 73 dentists out of 80 answered the questionnaires - 36 (49.3%) were females and 37 (50.7%) were males. Total mean score of knowledge was $7.91{\pm}1$ of 11. Mean scores of knowledge of male and female participants were $7.70{\pm}1.83$ and $8.13{\pm}1.94$ respectively. Mean knowledge score of general dentists was $7.41{\pm}1.79$ and of dental specialists was $9.44{\pm}1.0$ In spite of higher knowledge score of women compared to men and general dentists compared to dental specialists, these differences were not statistically significant (p=0.09). Tukey testing showed a significant difference between groups with 1-4 years of experience (8.74) and over twenty years of experience (6.50) ( p=0.001). Conclusions: Considering the good knowledge level of young dentists and the specialists and the importance of early diagnosis of oral cancer, it seems necessary to pay more attention to academic education for dentistry students, as well as holding retraining courses for experienced dentists, so that their knowledge not be reduced over time.

• Journal of The Korean Dental Society of Anesthesiology
• /
• v.12 no.4
• /
• pp.209-214
• /
• 2012

Background: This study evaluates the existing cardiopulmonary resuscitation (CPR) knowledge and skills of 1 st year dental students and also compares their CPR performance skill with those of 4 th year students. Methods: Incoming 1 st year and 4 th year dental students were surveyed about the level of their CPR knowledge before conventional CPR instruction. After we trained them for CPR performance, we tested CPR performance skill to randomly selected 10 1st year and 4 th year dental students and compared their CPR performance. Results: Overall CPR knowledge was low for both 1 st and 4 th year dental students. Especially, only 1 among 89 fourth year dental students answered the right sequence of CPR revised in 2010. Overall CPR performance was relatively low for both 1 st and 4 th year dental students. Irrespective of previous experiences of CPR education, their CPR performance was not statistically different. Conclusions: Retraining of CPR is a necessity. Information about the existing CPR knowledge for dental students will aid in establishing the goal of future CPR training and improve the current deficiency.