• Nuclear Engineering and Technology
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• v.55 no.6
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• pp.2096-2106
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• 2023

Rotating machinery is widely applied in important equipment of nuclear power plants (NPPs), such as pumps and valves. The research on intelligent fault diagnosis of rotating machinery is crucial to ensure the safe operation of related equipment in NPPs. However, in practical applications, data-driven fault diagnosis faces the problem of small and imbalanced samples, resulting in low model training efficiency and poor generalization performance. Therefore, a deep convolutional conditional generative adversarial network (DCCGAN) is constructed to mitigate the impact of imbalanced samples on fault diagnosis. First, a conditional generative adversarial model is designed based on convolutional neural networks to effectively augment imbalanced samples. The original sample features can be effectively extracted by the model based on conditional generative adversarial strategy and appropriate number of filters. In addition, high-quality generated samples are ensured through the visualization of model training process and samples features. Then, a deep convolutional neural network (DCNN) is designed to extract features of mixed samples and implement intelligent fault diagnosis. Finally, based on multi-fault experimental data of motor and bearing, the performance of DCCGAN model for data augmentation and intelligent fault diagnosis is verified. The proposed method effectively alleviates the problem of imbalanced samples, and shows its application value in intelligent fault diagnosis of actual NPPs.

• Journal of The Korean Society of Integrative Medicine
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• v.10 no.1
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• pp.27-38
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• 2022

Purpose : This study is aimed to develop and validate the clinical practice education program and clinical competence scale of occupational therapy student. Methods : The development of the clinical practice education program used the delphi technique method, which had a total of five steps. Based on the occupational therapist's job analysis, the first stage assessed the importance of 21 experts, and the second stage examined the importance of 19 new specialists to derive constitutive factors. In the third stage, in-depth interviews were conducted with three experts based on the derived factors, and in the fourth stage, the final clinical practice education program was derived. In the final stage, the details of the clinical training program were drawn up based on the themes and were reviewed by two experts. Structured and unstructured interviews were conducted with 43 job experts. Results : The expert survey through the delphi technique was conducted three times, and content analysis and descriptive statistics were conducted to examine the distribution of responses. The final 11 educational program topics and contents were derived. Topics are confirmation of client information, evaluation and intervention, cognitive therapy, spinal cord injury, brain injury, musculoskeletal disorders, pediatric occupational therapy, interventions in activities of daily living, driving rehabilitation, vocational rehabilitation, occupational therapy assessment tool, safety training and management. Conclusion : The clinical practice education program reduce the difference between school education and clinical education of occupational therapy student. Occupational therapy helps college student understand occupational therapy practices and improve the quality of clinical education. Through more research and supplementation of clinical practice education programs in the future, it is suggested that clinical practice education be successfully operated in various practice institutions and used as basic data for designing and evaluating useful educational models.

• Journal of English Language & Literature
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• v.55 no.1
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• pp.3-24
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• 2009

The Harry Potter series is considered to represent the multicultural aspect of contemporary British society and to show critical perspectives of racism. This series, however, also includes many elements of British imperialism. This paper examines the ideas about education and Harry's role in relation to British imperialism. One of the main ideas prevalent in 19th century British boys' public schools was that people's blood origin is the most important element in determining their characteristics, ability and moral qualities. The students' inherited capacity and their family background are more highly regarded than their secondary learning and training. This reflects a 19th century concept that ultimately, inborn quality makes 'a hero', a truth presented in the educational policies of Hogwarts. Hogwarts' educational policies and systems can also be related to 'developmentalism', which defines children as imperfect, in-progress and incomplete, thus needing proper training and discipline. As this concept functioned to justify the control of children while educating them, Hogwarts adopts diverse controlling devices and oppressive policies, which are mainly justified in the name of education. On the one hand, child characters are controlled and oppressed by the school authorities, on the other hand, some of the students such as Harry have remarkable magic powers enough to resist the adult authority and even to save the magic society from the evil power. Harry plays dual roles, which the British boys of the Empire were assigned from their society; they are important heirs to conquer the 'evil' or 'barbarous' world but need to be obedient to a 'good' authority to achieve the mission. Harry's magic power and self-discipline ultimately contribute to fulfilling Dumbledore's mission, which mirrors 19th century British boys' roles as the heirs of the British Empire.

• Journal of Korean Physical Therapy Science
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• v.30 no.4
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• pp.92-110
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• 2023

Background: Digital therapeutics are software medical devices that provide evidence-based treatments to prevent, manage, and treat disease. Digital therapies have recently been shown to be effective in motivating children with cerebral palsy as a tool in neuropsychological therapy. Digital therapies improve postural control, balance and gait in children with cerebral palsy. Therefore, this study aims to investigate the effects of digital therapies on balance and gait in children with cerebral palsy and to provide guidelines for prescribing digital therapies for children with cerebral palsy. Design: A Systematic Review Methods: This study searched for English-language articles published in medical journals from January 2000 to July 2023 using PubMed and MEDLINE based on the year of initiation of the digital therapy. The search terms used in the study were 'digital technology' OR 'digital therapeutic' OR 'mobile application' OR 'mobile health' OR 'virtual reality' OR 'game' AND 'cerebral palsy', 'balance' 'gait' as the main keywords. The final article was assigned an evidence level and a Physiotherapy Evidence Database (PEDro) score to assess the quality of clinical trials studies. Results: The digital therapies applied to improve balance and gait in children with cerebral palsy are game-based virtual reality training and the Nintendo Wii Fit program. Both digital therapy interventions had a significant effect on improving balance in children with cerebral palsy, and virtual reality training significantly improved balance and gait. However, there were no significant improvements in balance and gait within two weeks of treatment, regardless of the type of digital intervention. Conclusion: The study suggests that this data will be important in building the evidence base for the effectiveness of digital therapies on balance and gait in children with cerebral palsy and in advancing clinical protocols.

• The Journal of the Korea institute of electronic communication sciences
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• v.19 no.1
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• pp.189-196
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• 2024

Frequent false positives alarm from the Intelligent Selective Control System have raised significant concerns. These persistent issues have led to declines in operational efficiency and market credibility among agents. Developing a new model or replacing the existing one to mitigate false positives alarm entails substantial opportunity costs; hence, improving the quality of the training dataset is pragmatic. However, smaller organizations face challenges with inadequate capabilities in dataset collection and refinement. This paper proposes an automatic human pose data collection system centered around a human pose estimation model, utilizing camera-based sensor fusion techniques and edge devices. The system facilitates the direct collection and real-time processing of field data at the network periphery, distributing the computational load that typically centralizes. Additionally, by directly labeling field data, it aids in constructing new training datasets.

• International Journal of Internet, Broadcasting and Communication
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• v.16 no.2
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• pp.68-74
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• 2024

This thesis explores the embodiment of a performer and a character/role specifically by examining what the term character is associated with and implies in a sense of the performer's bodily training through which what happens to their body. First of all, this research begins to investigate the relationship between a performer and a character centred on the performer's bodily experience through training and/or studio work. From a perspective of a performer, the concept and practical approach of a character itself essentially includes and signifies all the given circumstance of a specific play which has to be acknowledged then inhabited through the performer's body. That is, the internal structure of the text parallels with articulating and developing the spine of a specific character which take place as the substance leads the performer's body to an organic action and/or that of way corresponding to what the character needs and wants to obtain through a series of moment on stage. Here, we argue that the purposeful action as a process and result of applying/inhabiting the substance enhances the performer's body as the whole being participates in the given environment within which his/her body can also work or function by means of the integrated oneness. Second, in a manner of the most fundamental level, both the ethic of acting and the central task of a performer remind us the significance of allowing therefore experiencing subtle bodily movement, namely, responses to stimulus from in/outside of his/her body either visible or invisible on the one hand. At the same time, such a journey of self-discovery empowers the performer to explore new potential possibilities on the other. Finally, as the research finding suggests that these practical insights are necessarily need to be acknowledged as a point of the departure through which the quality of a performer's body is also cultivated by means of the changeable wholeness in order to being on stage.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.34 no.1
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• pp.71-82
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• 2024

With the advancement of information and communication technology (ICT), the use of electronic document types such as PDF, MS Office, and HWP files has increased. Such trend has led the cyber attackers increasingly try to spread malicious documents through e-mails and messengers. To counter such attacks, AI-based methodologies have been actively employed in order to detect malicious document files. The main challenge in detecting malicious HWP(Hangul Word Processor) files is the lack of quality dataset due to its usage is limited in Korea, compared to PDF and MS-Office files that are highly being utilized worldwide. To address this limitation, data augmentation have been proposed to diversify training data by transforming existing dataset, but as the usefulness of the augmented data is not evaluated, augmented data could end up harming model's performance. In this paper, we propose an effective semi-supervised learning technique in detecting malicious HWP document files, which improves overall AI model performance via quantifying the utility of augmented data and filtering out useless training data.

• Archives of Plastic Surgery
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• v.50 no.6
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• pp.621-626
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• 2023

In the first half of the third century B.C., Herophilus and Erasistratus performed the first systematic dissection of the human body. For subsequent centuries, these cadaveric dissections were key to the advancement of anatomical knowledge and surgical techniques. To this day, despite various instructional methods, cadaver dissection remained the best way for surgical training. To improve the quality of education and research through cadaveric dissection, our institution has developed a unique method of perforator-preserving cadaver injection, allowing us to achieve high-fidelity perforator visualization for dissection studies, at low cost and high efficacy. Ten full body cadavers were sectioned through the base of neck, bilateral shoulder, and hip joints. The key was to dissect multiple perfusing arteries and draining veins for each section, to increase "capture" of vascular territories. The vessels were carefully flushed, insufflated, and then filled with latex dye. Our injection dye comprised of liquid latex, formalin, and acrylic paint in the ratio of 1:2:1. Different endpoints were used to assess adequacy of injection, such as reconstitution of eyeball volume, skin turgor, visible dye in subcutaneous veins, and seepage of dye through stab incisions in digital pulps. Dissections demonstrated the effectiveness of the dye, outlining even the small osseous perforators of the medial femoral condyle flap and subconjunctival plexuses. Our technique emphasized atraumatic preparation, recreation of luminal space through insufflation, and finally careful injection of latex dye with adequate curing. This has allowed high-fidelity perforator visualization for dissection studies.

• The Journal of the Convergence on Culture Technology
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• v.10 no.4
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• pp.701-710
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• 2024

This study conducted a survey of companies in the aviation, drone, and Urban Air Mobility (UAM) sectors to analyze the educational and workforce needs, identifying essential competencies and technical training required. The study also proposed potential areas for collaboration between universities and industry regarding educational methods. Key findings and implications of the survey were derived. The results indicated that the most critical consideration for hiring was job-specific skills in the respective field. The most essential quality for workforce training was identified as enhancing the ability to use various equipment and software related to the major field. In the UAM sector, there was a high demand for personnel and education related to aircraft and components, with the highest demand being for lightweight manufacturing technology for aircraft. This study can serve as foundational data for addressing the educational needs in this field.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.24 no.4
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• pp.57-64
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• 2024

The introduction of Smart Factories has transformed manufacturing towards more objective and efficient line management. However, most companies are not effectively utilizing the vast amount of sensor data collected every second. This study aims to use this data to predict product quality and manage production processes efficiently. Due to security issues, specific sensor data could not be verified, so semiconductor process-related training data from the "SAMSUNG SDS Brightics AI" site was used. Data preprocessing, including removing missing values, outliers, scaling, and feature elimination, was crucial for optimal sensor data. Oversampling was used to balance the imbalanced training dataset. The SVM (rbf) model achieved high performance (Accuracy: 97.07%, GM: 96.61%), surpassing the MLP model implemented by "SAMSUNG SDS Brightics AI". This research can be applied to various topics, such as predicting component lifecycles and process conditions.