• The Journal of the Korea Contents Association
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• v.22 no.1
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• pp.431-443
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• 2022

The purpose of this study is to share and assess the experiences of the emergency remote teaching method adopted for the medical communication course at a medical school due to the COVID-19 pandemic. The standardized patients hired for this 'Emergency Remote Teaching (hereafter ERT)' course said that students' interactions with them were less enthusiastic and less realistic, However, in the one-on-one virtual practice, the students seemed to be more focused than in the existing face to face practice. There were no differences in the unit practice test scores between ERT and the face-to-face course while in the face-to-face final exam, the test scores of FTF students were statistically higher than those of the ERT students, which might have resulted from the different methodologies of teaching. Further research on the virtual medical communication course is necessary to prepare medical students for the adoption of the telemedicine which could be accelerated in the near future.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.32 no.6
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• pp.1113-1120
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• 2022

Recently, the investigation has been difficult due to the emergence of messengers that encrypt and store data for the purpose of protecting personal information and provide services such as end-to-end encryption with a focus on security. Accordingly, the number of crime cases using security messengers is increasing, but research on data decoding for security messengers is needed. Element security messengers provide end-to-end encryption functions so that only conversation participants can check conversation history, but research on decoding them is insufficient. Therefore, in this paper, we analyze the instant messenger Element, which provides end-to-end encryption, and propose a plaintext verification of the history of encrypted secure chat rooms using decryption keys stored in the Windows Credential Manager service without user passwords. In addition, we summarize the results of analyzing significant general and secure chat-related artifacts from a digital forensics investigation perspective.

• The Journal of the Convergence on Culture Technology
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• v.8 no.6
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• pp.303-308
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• 2022

A chatbot is a responsive chatting program that can communicate with people through text or voice. 'Siri' and 'Bixby' installed in smartphones are also representative artificial intelligences that use the chatbot system. With the rapid development of chatbots, users in various fields have also begun to pay attention to the food service industry. As machine learning technology developed, it became possible to use more flexible conversations, and it soon expanded to the realm of education. Userㄴs interact through conversations with chatbots, and active interactions stimulate users' desires and at the same time have a positive effect on learning motivation. Recommendation system programs using chatbots not only recommend products according to users' preferences, but also provide various additional information. This study planned a program that combined the chatbot system and tourism service. The chatbot curator will develop into a form of inducing interest and curiosity to users through learning, and then facilitating the desire for tourism. The purpose of this study is to lay the foundation for a chatbot curator based on previous studies.

• The Journal of the Convergence on Culture Technology
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• v.8 no.6
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• pp.843-848
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• 2022

A chatbot is a responsive chatting program that can communicate with people through text or voice. 'Siri' and 'Bixby' installed in smartphones are also representative artificial intelligences that use the chatbot system. With the rapid development of chatbots, users in various fields have also begun to pay attention to the food service industry. As machine learning technology developed, it became possible to use more flexible conversations, and it soon expanded to the realm of education. Userㄴs interact through conversations with chatbots, and active interactions stimulate users' desires and at the same time have a positive effect on learning motivation. Recommendation system programs using chatbots not only recommend products according to users' preferences, but also provide various additional information. This study planned a program that combined the chatbot system and tourism service. The chatbot curator will develop into a form of inducing interest and curiosity to users through learning, and then facilitating the desire for tourism. The purpose of this study is to lay the foundation for a chatbot curator based on previous studies.

• Journal of Practical Engineering Education
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• v.14 no.1
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• pp.99-108
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• 2022

As the demand for kiosks increases, more users complain of discomfort. Accordingly, a kiosk that enables easy menu selection and order by producing a voice-based interactive service is produced and provided in the form of a web. It implements voice functions based on the Annyang API and SpeechSynthesis API, and understands the user's intention through Dialogflow. And discuss how to implement this process based on Rest API. In addition, the recommendation system is applied based on collaborative filtering to improve the low consumer accessibility of existing kiosks, and to prevent infection caused by droplets during the use of voice recognition services, it provides the ability to check the wearing of masks before using the service.

• Journal of The Korean Association of Information Education
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• v.25 no.6
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• pp.1015-1024
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• 2021

There are various educational programming environments in which students can train artificial intelligence (AI) using block-based programming languages, such as Entry, Machine Learning for Kids, and Teachable Machine. However, these programming environments are designed so that students can train AI through a separate menu, and then use the trained model in the code editor. These approaches have the advantage that students can check the training process more intuitively, but there is also the disadvantage that both the training menu and the code editor must be used. In this paper, we present a novel artificial intelligence block that can perform both AI training and programming in the code editor. While this AI block is presented as a Scratch block, the training process is performed through a Python server. We describe the blocks in detail through the process of training a model to classify a blue pen and a red pen, and a model to classify a dental mask and a KF94 mask. Also, we experimentally show that our approach is not significantly different from Teachable Machine in terms of performance.

• Journal of Advanced Navigation Technology
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• v.27 no.1
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• pp.139-145
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• 2023

When a doctor examines a patient in a hospital, the doctor directly checks the patient's condition and conducts a face-to-face diagnosis through dialogue with the patient. However, it is often difficult for doctors to directly treat patients. Recently, several types of telemedicine systems have been developed. However, the systems have lack of capabilities to observe heart disease, neck condition, skin condition, inside ear condition, etc. To solve this problem, in this paper, an interactive telemedicine robot system with autonomous driving in a room capable of visual examination and auscultation of patients is developed. The developed robot can be controlled remotely through the WebRTC platform to move toward the patient and check a patient's condition under the doctor's observation using the multi-joint robot arm. The video information, audio information, patient's heart sound, and other data obtained remotely from patients can be transmitted to a doctor through the web RTC platform. The developed system can be applied to the various places where doctors are not possible to attend.

• KIPS Transactions on Software and Data Engineering
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• v.12 no.8
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• pp.365-370
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• 2023

This paper aims to compare the performance of speech data classification into two groups, adult and elderly, based on the acoustic and linguistic characteristics that change due to aging, such as changes in respiratory patterns, phonation, pitch, frequency, and language expression ability. For acoustic features we used attributes related to the frequency, amplitude, and spectrum of speech voices. As for linguistic features, we extracted hidden state vector representations containing contextual information from the transcription of speech utterances using KoBERT, a Korean pre-trained language model that has shown excellent performance in natural language processing tasks. The classification performance of each model trained based on acoustic and linguistic features was evaluated, and the F1 scores of each model for the two classes, adult and elderly, were examined after address the class imbalance problem by down-sampling. The experimental results showed that using linguistic features provided better performance for classifying adult and elderly than using acoustic features, and even when the class proportions were equal, the classification performance for adult was higher than that for elderly.

• Journal of Korean Philosophical Society
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• no.85
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• pp.53-76
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• 2009

Plato's Laws, Bk. 10 is made up of cryptically concise expressions and complex arguments, so that it is not simple to understand it. In this essay I would like to make use of Stoic perspective as an interpretative instrument, which would enable me, I hope, to reconstruct the main arguments of the Laws, Bk. 10 into an intelligible form. Through this approach we would have an opportunity to meet with some important philosophical ideas of Plato which did not reveal themselves clearly in other, especially early and middle dialogues. These ideas comprise the inseparability of the soul from the body, the intellectualization of nature, the human being as a part of the cosmos and the extensional overlapping of the moral law and the natural law. And at the same time my study would result in making a suggestion for history of reception. That is, in this paper I will find some grounds in the tenth book of the Laws that would show how great the influence of Plato upon the Stoics was. For we have but little knowledge about the possibility of the power of Plato's influence upon the Stoics, even though the scholarship on the Stoics until now shed some light on the features and range of Aristotle's influence upon them.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.26 no.12
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• pp.1759-1768
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• 2022

This paper proposes a model to detect depression-related emotions in a user's speech using wellness dialogue scripts provided by AI Hub, topic-specific daily conversation datasets, and chatbot datasets published on Github. There are 18 emotions, including depression and lethargy, in depression-related emotions, and emotion classification tasks are performed using KoBERT and KOELECTRA models that show high performance in language models. For model-specific performance comparisons, we build diverse datasets and compare classification results while adjusting batch sizes and learning rates for models that perform well. Furthermore, a person performs a multi-classification task by selecting all labels whose output values are higher than a specific threshold as the correct answer, in order to reflect feeling multiple emotions at the same time. The model with the best performance derived through this process is called the Depression model, and the model is then used to classify depression-related emotions for user utterances.