• Journal of Broadcast Engineering
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• v.24 no.3
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• pp.495-505
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• 2019

Typical algorithms of deep learning include CNN(Convolutional Neural Networks), which are mainly used for image recognition, and RNN(Recurrent Neural Networks), which are used mainly for speech recognition and natural language processing. Among them, CNN is able to learn from filters that generate feature maps with algorithms that automatically learn features from data, making it mainstream with excellent performance in image recognition. Since then, various algorithms such as R-CNN and others have appeared in object detection to improve performance of CNN, and algorithms such as YOLO(You Only Look Once) and SSD(Single Shot Multi-box Detector) have been proposed recently. However, since these deep learning-based detection algorithms determine the success of the detection in the still images, stable object tracking and detection in the video requires separate tracking capabilities. Therefore, this paper proposes a method of combining Kalman filters into deep learning-based detection networks for improved object tracking and detection performance in the video. The detection network used YOLO v2, which is capable of real-time processing, and the proposed method resulted in 7.7% IoU performance improvement over the existing YOLO v2 network and 20 fps processing speed in FHD images.

• Journal of the Korea Society of Computer and Information
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• v.26 no.4
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• pp.105-112
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• 2021

In the era of big data, interest in data is exploding. In particular, the development of the Internet and social media has led to the creation of new data, enabling the realization of the era of big data and artificial intelligence and opening a new chapter in convergence technology. Also, in the past, there are many demands for analysis of data that could not be handled by programs. In this paper, an analysis model was designed and verified for classification of unstructured data, which is often required in the era of big data. Data crawled DBPia's thesis summary, main words, and sub-keyword, and created a database using KoNLP's data dictionary, and tokenized words through morpheme analysis. In addition, nouns were extracted using KAIST's 9 part-of-speech classification system, TF-IDF values were generated, and an analysis dataset was created by combining training data and Y values. Finally, The adequacy of classification was measured by applying three analysis algorithms(random forest, SVM, decision tree) to the generated analysis dataset. The classification model technique proposed in this paper can be usefully used in various fields such as civil complaint classification analysis and text-related analysis in addition to thesis classification.

• 한국노년학
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• v.28 no.4
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• pp.1165-1178
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• 2008

The objectives of this study are developing the new types of elderly abuse and finding the variables affecting the new elderly abuse type. And This is at suggesting the intervention strategies preventing the elderly abuse. The 350 cases of elderly abuse reported in Elder Protection Agency was analysed. Data is analyzed by using statistical techniques including cluster analysis and logit-regression. New type of elderly abuse is "violent elderly abuse" and "avoiding elderly abuse". Violent elderly abuse is very connected with directly violence speech and behavior and avoiding elderly abuse is connected with neglect and abandonment, self-neglect. The elderly's instrumental activity of daily living and education, the offender's sex and education and living together type of the elderly - the offender, and the offender's care burden are the casual factors of the new type of elderly abuse. Based on the results, the various service programmes for the abused elderly is developed and implemented.

• The Journal of the Convergence on Culture Technology
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• v.7 no.4
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• pp.95-104
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• 2021

This study was conducted for the purpose of convergence reconstruction of the transition education model for students with disabilities in Korea. Ultimately, this study was also conducted with the aim of enhancing the perspective of the development of a lifelong education support system for the disabled in connection with schools and communities. The research method consisted of a procedure with a meeting of experts based on the procedure of analyzing the previous research literature that tried to materialize the transition education model for students with disabilities from the viewpoint of connection between school age and adulthood. The contents of this study were reflected in the dimension of ensuring consistent connectivity validity based on the viewpoint of school-centered, community-centered, education, and welfare between special education and lifelong education for the disabled in order to reconstruct the conversion transition education model constructed in the current special education field. Accordingly, the transition education model for students with disabilities built in the field of special education centered on school age minimizes the tendency of a fragmented approach between school age and adulthood, and presents a standard basis and structure that can be linked to the entire adulthood. The transition education model was reconstructed convergence in terms of content.

• Journal of the Korea Society of Computer and Information
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• v.27 no.6
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• pp.87-93
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• 2022

This study was conducted to use as basic data to increase the oral examination rate by analyzing Whether to undergo oral examination and the Factors Affecting the unexamined Oral Examination in Cancer Patients. These factors were analyzed using the results from 376 cancer patients in 7th Korea national health and nutrition examination survey. The data were analyzed complex sample frequency analysis and chi-square analysis, multiple logistic regression by using SPSS/WIN 26.0 program. 38% of cancer patients had oral examination and 62% did not. The Factors Affecting the unexamined Oral Examination increased by 3.641 times in over 70 years of age and by 3.928 times in graduating less than elementary school, by 3.740 times in the low-income group, 2.050 times in less than 2 brushing times a day, by 2.533 times in the chewing-problems group, by 2.746 times in speech problems group. The study results show that the oral examination rate of cancer patients was very low. It is necessary to to expand education on the importance of oral care and oral examination in consideration of oral complications and to actively introduce a customized oral health management program for cancer patients.

• Journal of agricultural medicine and community health
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• v.48 no.1
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• pp.41-49
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• 2023

Objectives: To obtain audiologic basic data to diagnose the noise induced hearing loss of workers in fisheries. Methods: The charts of the referred fishermen with noise induced hearing loss from November 2022 to February 2023 at a general hospital were retrospectively reviewed. Pure tone audiometry, speech audiometry, auditory brainstem response test and auditory steady state response test were conducted. Results: All of them were men over 60 years of age, and the average duration of exposure to noise was 38.9 ± 10.8 years, and the average symptom duration of hearing loss was 13.4 ± 4.3 years. Although the hearing thresholds in the high frequencies were higher than thresholds in the low frequencies, the audiogram showed a down-sloping pattern without rebound at 8 kHz. 10.5% of the cases had thresholds greater than 75 dB in high frequencies, but 57.9% had thresholds greater than 40 dB in low frequencies. Other hearing test results of fishermen were similar to those of general noise-induced hearing loss. Conclusions: Although the fishermen were exposed to noise for a long time, they recognized hearing loss late. The hearing threshold in lower frequencies of the fishermen was higher than expected. Further studies will be needed to analyze the audiologic characteristics of noise-induced hearing loss of the fishermen after confirming noise exposure by conducting a survey on the working environment, such as the noise level and working hours.

• Communications of Mathematical Education
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• v.37 no.1
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• pp.1-19
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• 2023

Mathematics Listening Ability(MLA) refers to the ability to listen to and grasp the meaning of speech language containing mathematical concepts and principles, distinguishing it from daily life and listening in other subject classes. According to literature, MLA might be divided into six types. Among them, interpretation, discovering, evaluating, and evaluation may indicate an attitude that correctly listens to the meaning of the language used in mathematics classes. On the other hand, selective, pretend, and ignore are types of listening attitudes that are not appropriate. Based on the statistical analysis of 834 3rd to 6th graders and a total of 44 homeroom teachers I developed a MLA survey items for elementary school students. In this study, principal component analysis was conducted to verify reliability in the development of survey items, and expert review and correlation analysis of survey results were conducted to verify validity. In addition, the validity was verified by statistically analyzing the survey results of students and their homeroom teachers. Based on literature and statistical analysis, I developed a MLA Survey items(for students) consisting of 25 questions and a mathematical resolution measurement tool(for teachers) consisting of 26 questions.

• Journal of Practical Engineering Education
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• v.14 no.3
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• pp.523-533
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• 2022

During the COVID-19 pandemic, the use of video classes and real-time online education has increased, but the lack of interaction between instructors and learners remains a challenging problem to be resolved. This paper designs and implements a learning support system that utilizes a digital human to improve faculty-student interaction, which plays an important role in increasing the educational effect and satisfaction of real-time online classes. In this paper, a digital human participates in a class as a virtual learner and asks questions raised by other learners through an anonymous chat system to the instructor on behalf of the learners. In addition, as a class facilitator, the digital human analyzes the lecturer's speech in real time and provides it to the learner in the form of a summary of the class, thereby facilitating faculty-student interaction. In order to confirm that the proposed system can be used in actual online real-time classes, we apply our system to Zoom classes. Experimental results show that facilitated Q&A and real-time class summaries are successfully provided through our digital human-based learning support system.

• Sim-seong Yeon-gu
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• v.30 no.1
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• pp.1-30
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• 2015

The Red Book contains C.G. Jung's insightful comment on life suggesting the thoughts of the Eastern philosophers, particularly that of Lao Zi. The author reviewed Jung's commentaries in the Red Book in comparison with Lao Zi Dao De Jing. Jung's comments on the image of despised Surpreme Being, on the Simplicity, the attitudes of 'the Spirit of the Depth' toward intellectual knowledges and speech, toward the small and the mockered one resemble to what Lao Zi spoke on Dao in his Dao De Jing. The 'good and evil' are regarded by both C.G. Jung and Lao Zi as two poles in one total psyche. The favorite words of Lao Zi : 'emptiness' or 'empty' are frequently mentioned in the Red Book. The investigation in this concern revealed that C.G. Jung, contrary to Lao Zi has applied the word 'emptiness' mostly as the opposite to the fullness. C.G. Jung's way of encountering with the darkest side of soul in the Hell and his bold confrontation to the authoritative person such as Philemon, above all, the intensity of his experiences in the state of the utmost tension between the opposites are extraordinarily impressive and somehow strange when regarded from traditional eastern way of behavior such as I-You relationship and the patterns of emotional life based on Confucian tradition. Confucius never talked about the prodigies, feasts of strength and disorders or spirits. Lao Zi never mentioned infernal cruelty. Noteworthy is however, both have enough experienced the cruelty of life and conflicts in the reality and what they spoke was not a process in search for solution but the final proposals for the solution of human agony. C.G. Jung was, like great shaman in central and East-Asia forced to go through inferno in his unique way and from these experiences obtained the insight which resembles not only to Lao Zi but also to wisdoms from the western philosophies and also from the Christianity.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.17 no.1
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• pp.1-9
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• 2024

This paper analyzes the trends in generative AI technology based on patent application documents. To achieve this, we selected 5,433 generative AI-related patents filed in South Korea, the United States, and Europe from 2003 to 2023, and analyzed the data by country, technology category, year, and applicant, presenting it visually to find insights and understand the flow of technology. The analysis shows that patents in the image category account for 36.9%, the largest share, with a continuous increase in filings, while filings in the text/document and music/speech categories have either decreased or remained stable since 2019. Although the company with the highest number of filings is a South Korean company, four out of the top five filers are U.S. companies, and all companies have filed the majority of their patents in the U.S., indicating that generative AI is growing and competing centered around the U.S. market. The findings of this paper are expected to be useful for future research and development in generative AI, as well as for formulating strategies for acquiring intellectual property.