• Title/Summary/Keyword: AI experience

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Analysis of Mentors' Roles using IPA in the Workplace Mentoring : From the Perspective of Mentors and Mentees (IPA를 이용한 직장멘토링에서 멘토의 역할 분석 : 멘토와 멘티의 관점에서)

  • Kim, Jae Kyeong;Choi, Bhang Gil;Choi, Il Young;Son, Yu Kyung
    • Journal of Information Technology Services
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    • v.20 no.4
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    • pp.69-80
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    • 2021
  • Many studies have discussed the effectiveness of mentoring from a mentor or mentee perspective. However, it is is necessary to deeply understand the formal mentoring relationship from the perspective of both the mentor and the mentee because the mentoring relationship is the interaction between the mentor and the mentee. Therefore, in this study, the mentors' role through IPA was compared and analyzed from the perspective of mentors and mentees. A survey was conducted on 376 employees of the financial bank, and the managers in charge of the company's official workplace mentoring and employees who participated in the mentoring program were interviewed. As a result of the analysis, mentors are more satisfied with the rewarding experience, while mentees are satisfied with commitment, and organizational ascendency and impact. In addition, mentees judge that "Coach", "Provides support", "Provides vision & widens horizons", "Broaden experience", "Cooperation", "Motivates", "Networking ability", "Provide cross-functional information", "Role model", "Share credit", "Teacher", and "Transfer skills, leadership, & technology" are important as mentor's roles are important. Therefore, in order to foster mentors for effective workplace mentoring, it is necessary to educate the mentor in advance about the mentors' role that the mentee considers to be important.

A study on AI Education in Graduate School through IPA (대학원 인공지능교육의 방향 탐색: IPA를 활용하여)

  • Yoo, Jungah
    • Journal of The Korean Association of Information Education
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    • v.23 no.6
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    • pp.675-687
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    • 2019
  • As interest in artificial intelligence increases, each university has been establishing a special graduate school with artificial intelligence major, and recently, the Korea government has established various support policies for artificial intelligence education. However, each university has a lot of difficulties because it has little experience in operating graduate education with the latest field of artificial intelligence and it is not easy to find experts. In this study, the response of graduate school students majoring in artificial intelligence was analyzed using IPA technique, and the direction of education of graduate school artificial intelligence major was searched. Among the 40 items surveyed by IPA, 12 items such as systematization of artificial intelligence curriculum, progress of class considering learning level, improvement of academic relations with guidance professors were extracted as items to be improved first. On the other hand, 8 items such as assistant capacity, and relationship with colleagues were overloaded, and twelve items such as instructor's lecture competency, appropriateness of educational contents, learner's artificial intelligence skills and knowledge, and attitude acquisition were to be maintained. In addition, eight items such as convergence education curriculum and diversity of education methods were all low in importance and performance. It is suggested that AI graduate school should be divided into two tracks(technical specialization, convergence expansion) by educational goal, and each track should be conducted by level-specific educational contents and methods suitable for student level. The curriculum should be elaborate and systematic to acquire AI knowledge, skills, and attitudes, and should have an individualized guidance system centered on excellent faculty members.

A neck healthy warning algorithm for identifying text neck posture prevention (거북목 자세를 예방하기 위한 목 건강 경고 알고리즘)

  • Jae-Eun Lee;Jong-Nam Kim;Hong-Seok Choi;Young-Bong Kim
    • Journal of the Institute of Convergence Signal Processing
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    • v.23 no.3
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    • pp.115-122
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    • 2022
  • With the outbreak of COVID-19 a few years ago, video conferencing and electronic document work have increased, and for this reason, the proportion of computer work among modern people's daily routines is increasing. However, as more and more people work on computers in the wrong posture for a long time, the number of patients with poor eyesight and text neck is increasing. Until recently, many studies have been published to correct posture, but most of them have limitations that users may experience discomfort because they have to correct posture by wearing equipment. A posture correction sensor algorithm is proposed to prevent access to the minimum distance between a computer monitor and a person using an ultrasonic sensor device. At this time, an algorithm for minimizing false alarms among warning alarms that sound at the minimum distance is also proposed. Because the ultrasonic sensor device is used, posture correction can be performed without attaching a device to the body, and the user can relieve discomfort. In addition, experimental results showed that accuracy can be improved by reducing false alarms by removing more than half of the noise generated during distance measurement.

A Full Body Gumdo Game with an Intelligent Cyber Fencer using Multi-modal(3D Vision and Speech) Interface (멀티모달 인터페이스(3차원 시각과 음성 )를 이용한 지능적 가상검객과의 전신 검도게임)

  • 윤정원;김세환;류제하;우운택
    • Journal of KIISE:Computing Practices and Letters
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    • v.9 no.4
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    • pp.420-430
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    • 2003
  • This paper presents an immersive multimodal Gumdo simulation game that allows a user to experience the whole body interaction with an intelligent cyber fencer. The proposed system consists of three modules: (i) a nondistracting multimodal interface with 3D vision and speech (ii) an intelligent cyber fencer and (iii) an immersive feedback by a big screen and sound. First, the multimodal Interface with 3D vision and speech allows a user to move around and to shout without distracting the user. Second, an intelligent cyber fencer provides the user with intelligent interactions by perception and reaction modules that are created by the analysis of real Gumdo game. Finally, an immersive audio-visual feedback by a big screen and sound effects helps a user experience an immersive interaction. The proposed system thus provides the user with an immersive Gumdo experience with the whole body movement. The suggested system can be applied to various applications such as education, exercise, art performance, etc.

Softwarization of Cloud-based Real-Time Broadcast Channel System

  • Kwon, Myung-Kyu
    • Journal of the Korea Society of Computer and Information
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    • v.22 no.9
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    • pp.25-32
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    • 2017
  • In this paper, we propose the softwareization of broadcasting system. Recently, the topic of industry is the fourth industrial revolution. The fourth industrial revolution is evolving from physical to virtualization. The Industrial Revolution is based on IT technology. Artificial Intelligence (AI), Big Data, and the Internet of Things, which are famous for Alpha Go, are based on software. Among IT, software is the main driver of industrial terrain change. The systemization of software on the basis of cloud environment is proceeding rapidly. System development through softwarization can reduce time to market lead time, hardware cost reduction and manual operation compared to existing hardware system. By developing and implementing broadcasting system such as IPTV based on cloud, lead time for opening service compared to existing hardware system can be shortened by more than 90% and investment cost can be saved by about 40%. In addition, the area of the system can be reduced by 50%. In addition, efficiency can be improved between infrastructures, shortening of trouble handling and ease of maintenance. Finally, we can improve customer experience through rapid service opening.

Mitral and Aortic Valce Replacement with Patch Enlargement of Narrow Aortic Annulus (협소한 대동맥판윤의 첨포확대후 대동맥 및 승모판막 대치술 치험 1예)

  • 강면식
    • Journal of Chest Surgery
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    • v.12 no.1
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    • pp.56-60
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    • 1979
  • Replacement of the aortic valve in a normal or large aortic root can be accomplished with ease and safety in most instances. The presence of a narrowed aortic annulus remains a problem in that the replaced smaller prosthetic valve has a significant resting pressure gradient across the orifice. This narrowing causes not only technical difficulties, but also increased mortality and post-op. complication. Therefore this problem deserves special attention. This report presents our experience with a case of a small aortic root caused by rheumatic heart disease [AI and MS]. This is the method of enlargement of the aortic annulus with a woven Dacron patch and replacement of a larger prosthetic aortic valve combined with mitral valve replacement.

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A Case of Successful Hepatic Resection after Local Radiotherapy with Combined Transarterial Chemoinfusion in Hepatoblastoma (절제불가능했던 간모세포종에서 국소 방사선치료와 경간동맥 화학요법 후 절제가 가능했던 1예 보고)

  • Han, Ai-Ri;Oh, Jung-Tak;Han, Seok-Joo;Choi, Seung-Hoon;Hwang, Eui-Ho
    • Advances in pediatric surgery
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    • v.7 no.1
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    • pp.64-67
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    • 2001
  • It has been widely accepted that complete surgical resection of hepatoblastoma is essential for long-term survival. But unfortunately less than 50 % of hepatic tumors in children can be totally removed at the time of diagnosis. This report is to present the experience of successful resection of hepatoblastoma after concurrent radiotherapy with transarterial chemoinfusion in a child. We believe this modality of treatment enables complete resection of unresectable hepatoblastoma. which is resistant to the systemic chemotherapy.

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LMI based criterion for reinforced concrete frame structures

  • Chen, Tim;Kau, Dar;Tai, Y.;Chen, C.Y.J.
    • Advances in concrete construction
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    • v.9 no.4
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    • pp.407-412
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    • 2020
  • Due to the influence of nonlinearity and time-variation, it is difficult to establish an accurate model of concrete frame structures that adopt active controllers. Fuzzy theory is a relatively appropriate method but susceptible to human subjective experience to decrease the performance. To guarantee the stability of multi-time delays complex system with multi-interconnections, a delay-dependent criterion of evolved design is proposed in this paper. Based on this criterion, the sector nonlinearity which converts the nonlinear model to multiple rule base of the linear model and a new sufficient condition to guarantee the asymptotic stability via Lyapunov function is implemented in terms of linear matrix inequalities (LMI). A numerical simulation for a three-layer reinforced concrete frame structure subjected to earthquakes is demonstrated that the proposed criterion is feasible for practical applications.

Application of XAI Models to Determine Employment Factors in the Software Field : with focus on University and Vocational College Graduates (소프트웨어 분야 취업 결정 요인에 대한 XAI 모델 적용 연구 : 일반대학교와 전문대학 졸업자를 중심으로)

  • Kwon Joonhee;Kim Sungrim
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.20 no.1
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    • pp.31-45
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    • 2024
  • The purpose of this study is to explain employment factors in the software field. For it, the Graduates Occupational Mobility Survey by the Korea employment information service is used. This paper proposes employment models in the software field using machine learning. Then, it explains employment factors of the models using explainable artificial intelligence. The models focus on both university graduates and vocational college graduates. Our works explain and interpret both black box model and glass box model. The SHAP and EBM explanation are used to interpret black box model and glass box model, respectively. The results describes that positive employment impact factors are major, vocational education and training, employment preparation setting semester, and intern experience in the employment models. This study provides a job preparation guide to universitiy and vocational college students that want to work in software field.

Convergence Study on Model of Job Design Support Platform Using Big data and AI (빅데이터와 인공지능을 활용한 직업설계 지원 플랫폼 모형에 관한 융합 연구)

  • Noh, Kyoo-Sung;Lee, Joo-Yeoun
    • Journal of Digital Convergence
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    • v.14 no.7
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    • pp.167-174
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    • 2016
  • The university and college turn into the field of job readiness to get a good job and students build a lot of job specification than others and are constantly studying for employment. Then since employment, some people are fortunate to keep the job for lifetime, but for many people work in the workplace did not meet his aptitude with patience and some people move for work several times without perseverance. One of the reasons for job dissatisfaction is that the job does not fit his aptitude. Meantime many organizations conducted the aptitude(Psychology) test. There are limits, however, to find a suitable job. This study was presented as a model of a platform that is a rational and scientific alternative to search course and job. This model is to better understand the individual characteristics using Big data and artificial intelligence, offers several jobs to meet the characteristics among the various professions selectively and supports to select and design an appropriate job based on the field experience, consulting and mentoring.