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Digital Transformation Based on Chatbot in Legacy Environment (챗봇을 이용한 Legacy 환경의 Digital Transformation)

  • Jang, Jeong-ho;Kim, Jin-soo;Lee, Kang-Yoon
    • The Journal of Bigdata
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    • v.3 no.2
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    • pp.79-85
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    • 2018
  • As the utilization of chatbots grows and the AI market grows, many companies are interested. And everybody is spurring growth by offering chatbot build services so that they can create chatbots. This makes chatbots easier to service on the messenger platform, which is changing the existing application market. In this paper, we present a methodology for designing and implementing existing DB-based applications as instant messenger platform-based applications, and summarize what to consider in actual implementation to provide an optimal system structure. According to this methodology, we design and implement a chatbot that serves as an teaching advisor who provides information to the students in the curriculum. The implemented application objectively visualizes the user's desired information from the user's point of view and delivers it through the interactive interface quickly and intuitively. By implementing these services and real service, it is predicted that DB-based information providing applications will be implemented as chatbots and will be changed to bi-directional communication through an interactive interface. it is predicted that DB-based information providing applications will be implemented as chatbots and will be changed to bi-directional communication through an interactive interface. Enterprise legacy application will take chatbot technology as one of important digital transformation initiative.

A Korean menu-ordering sentence text-to-speech system using conformer-based FastSpeech2 (콘포머 기반 FastSpeech2를 이용한 한국어 음식 주문 문장 음성합성기)

  • Choi, Yerin;Jang, JaeHoo;Koo, Myoung-Wan
    • The Journal of the Acoustical Society of Korea
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    • v.41 no.3
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    • pp.359-366
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    • 2022
  • In this paper, we present the Korean menu-ordering Sentence Text-to-Speech (TTS) system using conformer-based FastSpeech2. Conformer is the convolution-augmented transformer, which was originally proposed in Speech Recognition. Combining two different structures, the Conformer extracts better local and global features. It comprises two half Feed Forward module at the front and the end, sandwiching the Multi-Head Self-Attention module and Convolution module. We introduce the Conformer in Korean TTS, as we know it works well in Korean Speech Recognition. For comparison between transformer-based TTS model and Conformer-based one, we train FastSpeech2 and Conformer-based FastSpeech2. We collected a phoneme-balanced data set and used this for training our models. This corpus comprises not only general conversation, but also menu-ordering conversation consisting mainly of loanwords. This data set is the solution to the current Korean TTS model's degradation in loanwords. As a result of generating a synthesized sound using ParallelWave Gan, the Conformer-based FastSpeech2 achieved superior performance of MOS 4.04. We confirm that the model performance improved when the same structure was changed from transformer to Conformer in the Korean TTS.

Analysis of data on prevention of school violence based on AI unsupervised learning (AI 비지도 학습 기반의 학교폭력 예방 데이터 분석)

  • Jung, Soyeong;Ma, Youngji;Koo, Dukhoi
    • 한국정보교육학회:학술대회논문집
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    • 2021.08a
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    • pp.85-91
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    • 2021
  • School violence has long been recognized as a social problem, and various efforts have been made to prevent it. In this study, we propose a system that can prevent school violence by analyzing data on the frequency of conversations between students, and identify peer relationships. The frequency of conversations between students in the class was quantified using a rating scale questionnaire, and this data was grouped into the appropriate number of clusters using the K-means algorithm. Additionally, the homeroom teacher observed the frequency and nature of conversations between students, and targeted specific individuals or groups for counseling and intervention, with the aim of reducing school violence. Data analysis revealed that the teachers' qualitative observations were consistent with the quantified data based on student questionnaires, and therefore applicable as quantitative data towards the identification and understanding of student relationships within the classroom. The study has potential limitations. The data used is subjective and based on peer evaluations which can be inconsistent as the students may use different criteria to evaluate one another. It is expected that this study will help homeroom teachers in their efforts to prevent school violence by understanding the relationships between students within the classroom.

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Non Face-to-Face Treatment and Not-informed Medication to Persons with Mental Disorders (정신질환자에 대한 비대면진료 및 비고지투약 -치료적 대화의 복원을 위한 모색적 고찰-)

  • Jung, Sangmin
    • The Korean Society of Law and Medicine
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    • v.25 no.1
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    • pp.149-192
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    • 2024
  • People with mental illness are generally either unaware of their illness or unwilling to voluntarily seek treatment, which makes treatment difficult and the pain mainly passed on to their families. Accordingly, non-face-to-face treatment, in which the patient is diagnosed by interviews with the family and unannounced medication, in which medication is secretly administered through the family, can be performed, and this has been considered a necessary evil. Even considering realistic aspects such as the special nature of mental health care and families' suffer, not-informed treatment without consent violates not only medical laws, but also human rights of mentally ill patients. Above all, if the patient finds out about this late, the trust between the patient, family, and doctor is completely broken, and a treatment is absolutely refused. Japan's Chiba decision, which presents exceptional conditions for allowance might be a solution. However, it would not be a right solution, considering that it could lead to long-term unannounced medication and completely cut off treatment through therapeutic dialogue. Ultimately, it need to approach this problem and seek alternatives through restoration of therapeutic dialogue.

A Study on College Students' Perceptions of ChatGPT (ChatGPT에 대한 대학생의 인식에 관한 연구)

  • Rhee, Jung-uk;Kim, Hee Ra;Shin, Hye Won
    • Journal of Korean Home Economics Education Association
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    • v.35 no.4
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    • pp.1-12
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    • 2023
  • At a time when interest in the educational use of ChatGPT is increasing, it is necessary to investigate the perception of ChatGPT among college students. A survey was conducted to compare the current status of internet and interactive artificial intelligence use and perceptions of ChatGPT after using it in the following courses in Spring 2023; 'Family Life and Culture', 'Fashion and Museums', and 'Fashion in Movies' in the first semester of 2023. We also looked at comparative analysis reports and reflection diaries. Information for coursework was mainly obtained through internet searches and articles, but only 9.84% used interactive AI, showing that its application to learning is still insufficient. ChatGPT was first used in the Spring semester of 2023, and ChatGPT was mainly used among conversational AI. ChatGPT is a bit lacking in terms of information accuracy and reliability, but it is convenient because it allows students to find information while interacting easily and quickly, and the satisfaction level was high, so there was a willingness to use ChatGPT more actively in the future. Regarding the impact of ChatGPT on education, students said that it was positive that they were self-directed and that they set up a cooperative class process to verify information through group discussions and problem-solving attitudes through questions. However, problems were recognized that lowered trust, such as plagiarism, copyright, data bias, lack of up-to-date data learning, and generation of inaccurate or incorrect information, which need to be improved.

A Study on User Continuance Intention of Conversational Generative AI Services: Focused on Task-Technology Fit (TTF) and Trust (대화형 생성AI 서비스 사용자의 지속사용의도에 관한 연구: 과업-기술적합(TTF)과 신뢰를 중심으로)

  • Seunggyu Ann;Hyunchul Ahn
    • Information Systems Review
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    • v.26 no.1
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    • pp.193-218
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    • 2024
  • This study identified factors related to the technological characteristics of conversational generative AI services and the user's task characteristics. Then, it analyzed the effects of task-technology fit on user satisfaction and continued use. The effects of trust, which represents the degree of users' belief in the information provided by generative AI, on task-technology fit, user satisfaction, and user continuance intention were also examined. A survey was conducted among users of various age groups, and 198 questionnaires were collected and analyzed using SmartPLS 4.0 to validate the proposed model. As a result of hypothesis testing, it was confirmed that language fluency and interactivity among technology characteristics and ambiguity among task characteristics significantly affect user satisfaction and intention to continue using via task-technology fit. However, creativity among skill characteristics and time flexibility among task characteristics did not significantly affect task-technology fit, and trust did not directly affect task-technology fit and intention to continue using, but only positively affected user satisfaction. The results of this study can provide meaningful implications for vendors who want to develop and provide conversational generative AI services or companies who want to adopt generative AI technology to improve business productivity.

An Iterative, Interactive and Unified Seismic Velocity Analysis (반복적 대화식 통합 탄성파 속도분석)

  • Suh Sayng-Yong;Chung Bu-Heung;Jang Seong-Hyung
    • Geophysics and Geophysical Exploration
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    • v.2 no.1
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    • pp.26-32
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    • 1999
  • Among the various seismic data processing sequences, the velocity analysis is the most time consuming and man-hour intensive processing steps. For the production seismic data processing, a good velocity analysis tool as well as the high performance computer is required. The tool must give fast and accurate velocity analysis. There are two different approches in the velocity analysis, batch and interactive. In the batch processing, a velocity plot is made at every analysis point. Generally, the plot consisted of a semblance contour, super gather, and a stack pannel. The interpreter chooses the velocity function by analyzing the velocity plot. The technique is highly dependent on the interpreters skill and requires human efforts. As the high speed graphic workstations are becoming more popular, various interactive velocity analysis programs are developed. Although, the programs enabled faster picking of the velocity nodes using mouse, the main improvement of these programs is simply the replacement of the paper plot by the graphic screen. The velocity spectrum is highly sensitive to the presence of the noise, especially the coherent noise often found in the shallow region of the marine seismic data. For the accurate velocity analysis, these noise must be removed before the spectrum is computed. Also, the velocity analysis must be carried out by carefully choosing the location of the analysis point and accuarate computation of the spectrum. The analyzed velocity function must be verified by the mute and stack, and the sequence must be repeated most time. Therefore an iterative, interactive, and unified velocity analysis tool is highly required. An interactive velocity analysis program, xva(X-Window based Velocity Analysis) was invented. The program handles all processes required in the velocity analysis such as composing the super gather, computing the velocity spectrum, NMO correction, mute, and stack. Most of the parameter changes give the final stack via a few mouse clicks thereby enabling the iterative and interactive processing. A simple trace indexing scheme is introduced and a program to nike the index of the Geobit seismic disk file was invented. The index is used to reference the original input, i.e., CDP sort, directly A transformation techinique of the mute function between the T-X domain and NMOC domain is introduced and adopted to the program. The result of the transform is simliar to the remove-NMO technique in suppressing the shallow noise such as direct wave and refracted wave. However, it has two improvements, i.e., no interpolation error and very high speed computing time. By the introduction of the technique, the mute times can be easily designed from the NMOC domain and applied to the super gather in the T-X domain, thereby producing more accurate velocity spectrum interactively. The xva program consists of 28 files, 12,029 lines, 34,990 words and 304,073 characters. The program references Geobit utility libraries and can be installed under Geobit preinstalled environment. The program runs on X-Window/Motif environment. The program menu is designed according to the Motif style guide. A brief usage of the program has been discussed. The program allows fast and accurate seismic velocity analysis, which is necessary computing the AVO (Amplitude Versus Offset) based DHI (Direct Hydrocarn Indicator), and making the high quality seismic sections.

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눈을 가진 CD-롬

  • BaBa, Ra-Beo;AeLee, Mi-
    • Digital Contents
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    • no.1 s.68
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    • pp.52-58
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    • 1999
  • 지금까지 우리는 북극에 가상의 비행기를 띄우기 위해 컴튼의 대화식 백과사전의 일부인 Compton's Interactive World Atlas를 사용했다. 하이퍼 링크를 활용하고 버튼을 눌러 텍스트를 불러오고 전체적으로 변화무쌍한 방식으로 연구를 수행하면서, 우리는 폴리니나 디드로 같은 백과사전의 원조들이 최신의 화려한 멀티미디어 백과사전을 본다면 어떤 생각을 할 것인지 궁금해하지 않을 수가 없다.

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인터누리 (INTERNURI) 안내

  • Korean Associaton of Information & Telecommunication
    • 정보화사회
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    • s.127
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    • pp.56-61
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    • 1999
  • 인터누리 (INTERNURI) 란? 인터넷의 학습과 활용 그리고 연구.개발을 목표로 결성된 국내의 모든 관련 동호회(통신 동호회, 대학내 동아리 등 이하 동호회)의 활동을 지원하여 이들에게 보다 나은 인터넷 활용과 연구.개발환경(장소, 장비, 기타 부대시설)을 제공하여 동호회간 교류는 물론 산.학.연 단체 및 전문가와의 공동 연구 및 대화 토론의 장으로 활용할 수 있도록 하는 인터넷 지원사업이다.

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