• International Journal of Computer Science & Network Security
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• v.22 no.7
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• pp.245-251
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• 2022

Educational reform in Ukraine encourages the use of multimedia technologies in the training of specialists in Physical Education and Sports, which is one of the promising directions of education development. Therefore, the article specifies the content of the terms "innovation" and "technology". For modern society, the introduction of multimedia technologies in education is not so much theoretical as pragmatic, since under condition of globalization it concerns its historical development and prospects associated with the so-called "high technologies".Our goal is to improve the training of Physical Education and Sports specialists by means of multimedia technologies. All of innovative technologies can be divided into four groups, depending on the appropriate form of educational activity for their use. The development of multimedia technologies in the training of specialists in Physical Education and Sport at the present stage of education development should be carried out in accordance with the criteria of manufacturability, which are presented in the article: scientism, to rely on the theoretical provisions of pedagogical science and methods of teaching the discipline, socially recognized educational goals, prospects for modernization of Education; consistency, which provides for the interaction of parts and the whole in the organization of the study environment, as a result of which the physical development of the young generation is an integral entity; guarantee, that is, the error between the planned and obtained results should be minimal; manageability, that is, full management of the stages of work of the teacher and students, which make up the completed cycle of actions; mass participation, for the purpose of applying the technology does not depend on the physical training of students, the pedagogical skill of the teacher and the type of educational institutions. The article presents the theory and method of organizing sports events and circuses in the training of specialists in Physical Education and Sports by means of multimedia technologies. In order to increase the level of physical development of a person, physical fitness and the state of health of students, which has a clear trend to constant deterioration, it is necessary to instill love for sports, carry out high-quality training and organize sports events using multimedia technologies. In the process of sports activities, the participants' mental education is carried out. There are two types of communication here: direct and indirect, which are described in the article.In games and sports competitions, there are many opportunities for forming rules of collective behavior. The main issues of the organization of sports activities by means of multimedia technologies have been clarified. During sports competitions, the tasks presented in Physical Education and sports classes are improved, which ensure the improvement of physical and theoretical training of the individual. The pleasure of sports, bright, emotional spectacles, confirmed by multimedia technologies, arises from the participation of the viewer in them.

• Journal of the Korean Society of Industry Convergence
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• v.25 no.5
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• pp.799-810
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• 2022

Welding work is a production work method widely used throughout the industry, and various types of welding technologies exist. In addition, many methods are being studied to automate these welding operations using robots, but in the ship manufacturing field, welding such as painting, cutting, and grinding is also the most common operation, but the manual operation ratio is higher than in other industries. Such a high manual labor ratio in the field of ship manufacturing not only causes quality problems and production delays according to the skill of workers, but also causes problems in the supply and demand of manpower. Therefore, this paper analyzed the reason why the automation rate is low in welding work at ship manufacturing sites compared to other industries, and analyzed the production process and field environment for small and medium-sized ship manufacturing companies that repeatedly manufactured with a small quantity production method. Based on the analysis results, it is intended to propose a robot system that can easily move between workplaces and secure uniform welding quality and productivity by collaborating simple welding tasks with humans. Finally, the simulation environment is constructed and analyzed to secure the suitability of robot system application to current production site environment, work process, and productivity, rather than to develop and apply the proposed robot system. Through such pre-simulation and robot system suitability analysis, it is expected to reduce trial and error that may occur in actual field installation and operation, and to improve the possibility of robot application and positive perception of robot system at ship manufacturing sites.

• Journal of Digital Convergence
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• v.19 no.5
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• pp.187-196
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• 2021

The mobility handicapped are representative socially vulnerable people who account for a high percentage of our society. Due to the recent development of technology, personalized welfare technologies for the socially vulnerable are being studied, but it is relatively insufficient compared to the general people. In this study, we intend to implement a personalized restaurant recommendation system for the mobility handicapped. To this end, a hybrid recommendation system was implemented by combining the data of special transportation boarding and alighting history (7,153 cases) and information of Daegu Food restaurants (955 cases). In order to evaluate the effectiveness of the implemented recommendation system, we conducted performance comparisons with existing recommendation systems by prediction error rate and recommendation coverage. As a result of the analysis, the performance was higher than that of the existing recommendation system, and the possibility of a personalized restaurant recommendation system for the mobility handicapped was confirmed. In addition, we also confirmed the correlation in which similar restaurants are recommended in some types of the mobility handicapped. As a result of this study, it is judged that it will contribute to the use of restaurants with high satisfaction for the mobility handicapped, and the limitations of the study are also presented.

• Journal of the Korea Institute of Building Construction
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• v.21 no.3
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• pp.231-239
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• 2021

Entering the era of the fourth industrial revolution, information and communication technologies such as CCTV, home network systems and equipment are being used in the construction industry. In particular, in order to increase the autonomy of information and communication technologies in apartments, the government has announced an administrative revision of information and communication-related laws, and companies are focusing on developing technologies such as smart home services. In addition, most domestic and foreign studies on the information and communication work were mainly conducted on technology and management. However there is a lack of research on physical defects affecting the quality of ICT. Therefore, this study collected the defect data registered in the project management system of three domestic construction companies and classified them according to the standards of the Enforcement Decree of the Apartment House Management Act. According to the analysis of the frequency of defects work type, 88.10% of defects occurred in home network equipment work. In addition, analysis of defects type in the four detailed works showed the highest number of operation error. The cause was analyzed and prevention measures and countermeasures were presented in parts of design, construction, and maintenance. The results of this study will improve the quality of apartment housing and be used as basic data for future research on practical defect minimization and prevention measures.

• Journal of Korea Entertainment Industry Association
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• v.14 no.4
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• pp.77-89
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• 2020

Nowadays, urban townhouses are being developed in various forms according to the characteristics of different regions in consideration of the trends of the housing market. Misperceiving the needs of consumers or their characteristics as a house for living, however, they often end up becoming products that are not suitable for urban life or degraded on account of reckless regional development. It is so unfortunate that such trial and error keeps being repeated. Urban townhouses are advantageous because there is no such problem as either invasion of privacy or noise from neighbors, and it is possible to have one's own garden and enlarged parking space, obtain quality of grounding, and plan unique interior and exterior design. They are also equipped with the strengths of apartment houses as well, for example, the efficiency of joint control in crime and disaster prevention or security, architecture of diaphragm walls with the separation of gates, or the planning of common space like a central square or park. Therefore, there is a great chance that they can be developed as the types of urban housing. Accordingly, the purpose of this study is to establish the basic direction of developing housing products right as space for urban life and maximize the roles of urban townhouses. By understanding their spatial as well as functional elements as a house for living, this author aims to provide a guideline for housing product development to realize urban townhouses that can meet consumer needs.

• Journal of Cadastre & Land InformatiX
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• v.51 no.2
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• pp.51-72
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• 2021

The purpose of this study is to explain the types and causes of errors in zoning data that occur in the topographic map notification procedure, and to prepare a data maintenance plan. In Korea, like the United States, law-based land use regulation is dominant. In other words, according to the land use regulation method in the Act, the government designates zoning for all lots in the country, and landowners check the land use regulations of their land through the Korea Land use Information System. The land use plan confirmation document is important land information that affects the results of administrative dispositions such as land transactions between individuals or permission for development activities. However, there are data errors that occur during the current topographic map notification procedure and data construction process. Therefore, four local governments that can verify data by type were selected in consideration of local government conditions. A number of errors are first, errors in data construction and management in the Korea Land use Information System, and second, errors in lack of expertise that occur while the local government officials maintain data. Third, it was analyzed as an error from the relationship between the serial cadastral map and the zoning DB. Based on the above results, it is hoped that the results of this study will be reflected in the establishment of the KLIP and the reform of the legal system, which is currently underway after the establishment of the 「3rd the Korea Land use Information System Construction Plan」.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.16 no.1
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• pp.41-49
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• 2023

A convolutional neural network (CNN) is a representative algorithm for implementing artificial neural networks. CNNs have improved on the issues of rapid increase in calculation amount and low object classification rates, which are associated with a conventional multi-layered fully-connected neural network (FNN). However, because of the rapid development of IT devices, the maximum resolution of images captured by current smartphone and tablet cameras has reached 108 million pixels (MP). Specifically, a traditional CNN algorithm requires a significant cost and time to learn and process simple, high-resolution images. Therefore, this study proposes an improved CNN algorithm for implementing an object classification learning model for simple, high-resolution images. The proposed method alters the adjacency matrix value of the pooling layer's max pooling operation for the CNN algorithm to reduce the high-resolution image learning model's creation time. This study implemented a learning model capable of processing 4, 8, and 12 MP high-resolution images for each altered matrix value. The performance evaluation result showed that the creation time of the learning model implemented with the proposed algorithm decreased by 36.26% for 12 MP images. Compared to the conventional model, the proposed learning model's object recognition accuracy and loss rate were less than 1%, which is within the acceptable error range. Practical verification is necessary through future studies by implementing a learning model with more varied image types and a larger amount of image data than those used in this study.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.43 no.5
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• pp.543-553
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• 2023

This study was conducted to propose a simple method to evaluate the load-carrying capacity of RC slab bridges, which have been most frequently constructed in Korea. A number of RC slab bridges have been considerably deteriorated associate with the long service year. However, since these bridges are not included in the 1st and 2nd class infrastructures due to their short span length, they have been relatively neglected compared to other bridge types in terms of safety management. In the previous theoretical study, a process (draft) was proposed for evaluating the damage of RC slab bridges using the relationship between the displacement response ratio and the stiffness reduction rate derived by the measured displacement and natural frequency. In this paper, to verify the validity of the proposed damage evaluation process (draft), the results to the actual bridges were compared with the safety grade and the Matsui's deterioration index. In addition, to enhance the practical applicability of the existing process (draft), an improved method approximately evaluating the load-carrying capacity using only the measured natural frequency was presented. If an error of 10% of the load-carrying capacity is allowed, it is judged that the proposed damage evaluation process can be appropriately used not only for evaluating the safety of RC slab bridges, but also for determining priorities for their maintenance.

• Journal of Science Education
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• v.47 no.2
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• pp.211-224
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• 2023

The purpose of this study is to suggest how to investigate the reliability of the assessment, which consists of items generated by automatic item generation using empirical example data. To achieve this, we analyzed the illustrative assessment data by applying the multivariate generalizability theory, which can reflect the design of responding to different items for each student and multiple error sources in the assessment score. The result of the G-study showed that, in most designs, the student effect corresponding to the true score of the classical test theory was relatively large after residual effects. In addition, in the design where the content domain was fixed, the ranking of students did not change depending on the item types or items. Similarly, in the design where the item format was fixed, the difficulty showed little variation depending on the content domains. The result of the D-study indicated that the original assessment data achieved a sufficient level of reliability. It was also found that higher reliability than the original assessment data could be obtained by reducing the number of items in the content domains of operation, geometry, and probability and statistics, or by assigning higher weights to the domains of letters and formulas, and function. The efficient measurement conditions presented in this study are limited to the illustrative assessment data. However, the method applied in this study can be utilized to determine the reliability and to find efficient measurement conditions for the various assessment situations using automatic item generation based on measurement traits.

• Nuclear Engineering and Technology
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• v.55 no.1
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• pp.339-352
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• 2023

Prediction of the time-related traits of pebble flow inside pebble-bed HTGRs is of great significance for reactor operation and design. In this work, an image-driven approach with the aid of a convolutional neural network (CNN) is proposed to predict the remaining time of initially loaded pebbles and the time interval of paired flow images of the pebble bed. Two types of strategies are put forward: one is adding FC layers to the classic classification CNN models and using regression training, and the other is CNN-based deep expectation (DEX) by regarding the time prediction as a deep classification task followed by softmax expected value refinements. The current dataset is obtained from the discrete element method (DEM) simulations. Results show that the CNN-aided models generally make satisfactory predictions on the remaining time with the determination coefficient larger than 0.99. Among these models, the VGG19+DEX performs the best and its CumScore (proportion of test set with prediction error within 0.5s) can reach 0.939. Besides, the remaining time of additional test sets and new cases can also be well predicted, indicating good generalization ability of the model. In the task of predicting the time interval of image pairs, the VGG19+DEX model has also generated satisfactory results. Particularly, the trained model, with promising generalization ability, has demonstrated great potential in accurately and instantaneously predicting the traits of interest, without the need for additional computational intensive DEM simulations. Nevertheless, the issues of data diversity and model optimization need to be improved to achieve the full potential of the CNN-aided prediction tool.