• Title/Summary/Keyword: Vertical AI

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A Study of Generative AI Trends and Applications (생성형 AI 트렌드 및 활용사례 분석)

  • Sungyeon Yoon;Arin Choi;Chaewon Kim;Seoyoung Sohn;Sumin Oh;Minseo Park
    • The Journal of the Convergence on Culture Technology
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    • v.10 no.4
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    • pp.607-612
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    • 2024
  • Generative AI is a type of artificial intelligence technology that produces various types of data. With the success of ChatGPT, the generative AI market is blooming. As the generative AI market develops, generative AI is being applied in various industries. In this paper, we discuss the trends, applications, and directions for improvement. Currently, generative AI is trained on domain knowledge and data, and it is evolving towards Vertical AI. In the future, generative AI could be extended to AGI, which makes decisions and processes on its own like a human, to be used flexibly in various environments.

Skeletal Stability after Le Fort I Osteotomy in the Cleft Patients; Preliminary Report (구순구개열 환자의 Le Fort I 골절단술 후 상악골의 위치적 안정성에 관한 연구 ; 예비보고)

  • Kim Myung-Jin;Yu Ho-Seok;Kim Jong-Won;Kim Kyoo-Sik
    • Korean Journal of Cleft Lip And Palate
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    • v.2 no.1_2
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    • pp.15-22
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    • 1999
  • It is well known that the postoperative skeletal instability after Le Fort I osteotomy for advancement of maxilla in the cleft patients is one of the major surgical problems. So we had tried to compare the amount of relapse after Le Fort I advancement surgery in the horizontal and vertical positional change, angular change of reference points between cleft patients and non-cleft patients. Longitudinal records of 10 consecutive cleft patients (test group) and 20 non-cleft patients (control group) were analyzed. Lateral cephalograms were taken preoperatively, immediately postoperatively, and 2, 6, 12 months postoperatively. We measured horizontal and vertical changes (ANS, PNS, AI) and angular change (SNA) of the reference points and lines. In the test group, horizontal relapse of ANS, PNS, AI point are 36.4%, 37.5%, 32.0% respectively at 12 months postoperatively. The vertical relapse of ANS, PNS, AI are 25.3%, 32.3%, 39.1% respectively at 12 months postoperatively. The angular change of SNA is 33.6% at 12 months postoperatively. In the control group, horizontal relapse of ANS, PNS, AI point are 23.8%, 30.2%, 21.7% respectively at 12 months postoperatively. The vertical relapse of ANS, PNS, AI are 22.7%, 27.3%, 25.1% respectively at 12 months postoperatively. The angular change of SNA is 22.2% at 12 months postoperatively. The cleft patients have a larger tendency of skeletal and dental relapse compared with non-cleft patients after Le Fort I surgery. So the oral and maxillofacial surgeons must keep in mind these facts in order to minimize the relapse phenomenon from the beginning of surgical planning to postoperative care.

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Generative Artificial Intelligence for Structural Design of Tall Buildings

  • Wenjie Liao;Xinzheng Lu;Yifan Fei
    • International Journal of High-Rise Buildings
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    • v.12 no.3
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    • pp.203-208
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    • 2023
  • The implementation of artificial intelligence (AI) design for tall building structures is an essential solution for addressing critical challenges in the current structural design industry. Generative AI technology is a crucial technical aid because it can acquire knowledge of design principles from multiple sources, such as architectural and structural design data, empirical knowledge, and mechanical principles. This paper presents a set of AI design techniques for building structures based on two types of generative AI: generative adversarial networks and graph neural networks. Specifically, these techniques effectively master the design of vertical and horizontal component layouts as well as the cross-sectional size of components in reinforced concrete shear walls and frame structures of tall buildings. Consequently, these approaches enable the development of high-quality and high-efficiency AI designs for building structures.

A Study on Analysis Criteria for AI Service Impact Assessment (인공지능 서비스 영향성 평가를 위한 분석 기준 연구)

  • Soonduck, Yoo
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.23 no.1
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    • pp.7-13
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    • 2023
  • This study investigated the criteria for evaluating the impact of artificial intelligence services. The study classified AI evaluation targets into two areas: AI service and AI technology, and identified influence, sustainability, efficiency, effectiveness, and appropriateness as potential evaluation criteria. The time aspect of AI service evaluation was divided into pre-evaluation and post-evaluation, with pre-evaluation focused on reviewing items during development and design. The AI service area was classified into public, private, and mixed forms, and the impact assessment was classified as vertical or horizontal. The application of AI services was divided into normative and regulatory aspects, and the purpose of the evaluation could be impact or process evaluation. The subject and field of the AI service could also be used for classification purposes. The results of this study can be used to support the creation of AI service impact policies and countermeasures. However, further research is needed to develop specific indicators based on the criteria identified in this study to evaluate the impact of AI services.

Usability and Educational Effectiveness of AI-based Patient Chatbot for Clinical Skills Training in Korean Medicine (한의학 임상실습교육을 위한 인공지능 기반 환자 챗봇의 사용성과 교육적 효과성)

  • Yejin Han
    • Korean Journal of Acupuncture
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    • v.41 no.1
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    • pp.27-32
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    • 2024
  • Objectives : This study developed an AI-based patient chatbot and examined the usability and educational effectiveness of the chatbot in the context of Korean medicine education. Methods : The patient chatbot was developed using the AI chatbot builder 'Danbee', and a total of five experts were surveyed and interviewed to determine the usability, effectiveness, advantages, disadvantages, and improvement points of the chatbot. Results : The patient chatbot was found to have high usability and educational effectiveness. The advantages of the patient chatbot were 1) it provided students with practical experience in performing clinical skills, 2) it provided instructors with assessment materials while reducing their teaching burden, and 3) it could be effectively used for horizontal and vertical integration education. The disadvantages and improvements of the patient chatbot were 1) improving the accuracy of intention inference, 2) providing students with specific instructions for problem-solving activities, and 3) providing assessment results and feedback about students' activities. Conclusions : This study is significant in that it proposes a new training method to overcome the limitations of the existing doctor-patient simulation. It is hoped that this study will stimulate further research on the improvement of students' clinical skills using artificial intelligence.

A Study on Take-off and Landing Experimental System for Development of Power Platforms for Electric Vertical Take-Off and Landing Air Mobility (전기 수직이착륙 항공모빌리티용 동력플랫폼 개발을 위한 이착륙 실험시스템 연구)

  • Jun-Seong, Weon;Kwang-Hyun Ro
    • Journal of the Korean Society of Industry Convergence
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    • v.26 no.4_2
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    • pp.639-648
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    • 2023
  • In modern society, UAM (Urban Air Mobility) transportation system is being developed as an alternative to urban traffic congestion and environmental problems, and electric vertical take-off and landing (eVTOL) is a combination of vertical take-off and landing function and electric power. It is attracting attention as an innovative next-generation transportation method as an eco-friendly alternative that reduces noise and air pollution by providing efficient mobility within the city. Since eVTOL development requires designing and implementing airframes suitable for various mission purposes, the power system needs to be developed as a platform concept before airframe development. In this study, we empirically proposed a test bench concept equipped with a stable power supply and an efficient control system, essential in developing a power platform with a combined function in the form of a fuselage and module type specialized for various mission purposes. The proposed drivetrain platform test bench consists of a system verifying the stable take-off and landing software and a power platform adjusting the motor's thrust. It will serve as a verification system that can be developed.

MULTIDISCIPLINARY MANAGEMENT FOR AMELOGENESIS IMPERFECTA PATIENT WITH SKELETAL C III MALOCCLUSION (골격성 3급 부정 교합을 지닌 법랑질 형성 부전증 환자의 복합적 치료)

  • Oh, Jung-Hwan;Kim, Hak-Ryeol;Hwang, Yoon-Tae;Kim, Yeo-Gab;Ryu, Dong-Mok;Lee, Baek-Soo;Yoon, Byung-Wook;Jeon, Joon-Hyeok
    • Maxillofacial Plastic and Reconstructive Surgery
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    • v.29 no.1
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    • pp.91-96
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    • 2007
  • Amelogenesis imperfecta (AI) is a hereditary disease that affects enamel formation. The patients with AI have esthetic and functional problems due to damage of multiple teeth. So most AI patients resolve these problem through the conservative and prosthodontic treatments. In our case, It was difficult to obtain good results in means of conservative and prosthodontic treatments, because the AI patient had skeletal Class III malocclusion. Moreover, because of vertical dimension loss due to severe dental caries and maxillofacial skeletal disharmony, the ordinary prosthodontic treatment was troublesome. So we planned orthognathic surgery to resolve these problems. After the endodontic treatment, temporary restoration was delivered for stable post-operative occlusion. Then orthognathic surgery was done, and final restoration was delivered in stable period. We obtained satisfactory results in esthetic and functional aspects through multidisciplinary management(conservative treatment, prosthodontics and orthognathic surgery).

Welding Bead Detection Inspection Using the Brightness Value of Vertical and Horizontal Direction (수직 및 수평 방향의 밝깃값을 이용한 용접 비드 검출 검사)

  • Jae Eun Lee;Jong-Nam Kim
    • Journal of the Institute of Convergence Signal Processing
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    • v.23 no.4
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    • pp.241-248
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    • 2022
  • Shear Reinforcement of Dual Anchorage(SRD) is used to reinforce the safety of reinforced concrete structures at construction sites. Welding is used to make shear reinforcement, and welding plays an important role in determining productivity and competitiveness of products. Therefore, a weld bead detection inspection is required. In this paper, we suggest an algorithm for inspecting welding beads using image data of welding beads. First, the proposed algorithm calculates a brightness value in a vertical direction in an image, and then divides a welding bead in a vertical direction by finding a position corresponding to a 50% height point of the brightness value distribution in the image. The welding bead area is also divided in the same way for the horizontal direction, and then the segmentation image is analyzed if there is a welding bead. The proposed algorithm reduced the amount of computation by performing analysis after specifying the region of interest. In addition, accuracy could be improved by using all brightness values in the vertical and horizontal directions using the difference of brightness between the base metal and the welding bead region in the SRD image. The experiment compared the analysis results using five algorithms, such as K-mean and K-neighborhood, as a method to detect if there is a welding bead, and the experimental result proved that the proposed algorithm was the most accurate.

A SCATTERING MECHANISM IN OYSTER FARM BY POLARIMETRIC AND JERS-l DATA

  • Lee Seung-Kuk;Won Joong Sun
    • Proceedings of the KSRS Conference
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    • 2005.10a
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    • pp.538-541
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    • 2005
  • Tidal flats develop along the south coast ofthe Korean peninsula. These areas are famous for sea farming. Specially, strong and coherent radar backscattering signals are observed over oyster sea farms that consist of artificial structures. Tide height in oyster farm is possible to measure by using interferometric phase and intensity of SAR data. It is assumed that the radar signals from oyster farm could be considered as double-bouncing returns by vertical and horizontal bars. But, detailed backscattering mechanism and polarimetric characteristics in oyster farm had not been well studied. We could not demonstrate whether the assumption is correct or not and exactly understand what the properties of back scattering were in oyster farm without full polarimetric data. The results of AIRSAR L-band POLSAR data, experiments in laboratory and JERS-l images are discussed. We carried out an experiment simulating a target structure using vector network analyser (Y.N.A.) in an anechoic chamber at Niigata University. Radar returns from vertical poles are stronger than those from horizontal poles by 10.5 dB. Single bounce components were as strong as double bounce components and more sensitive to antenna look direction. Double bounce components show quasi-linear relation with height of vertical poles. As black absorber replaced AI-plate in bottom surface, double bounce in vertical pole decreased. It is observed that not all oyster farms are characterized by double bounced scattering in AIRSAR data. The image intensity of the double bounce dominant oyster farm was investigated with respect to that of oyster farm dominated by single bounce in JERS-l SAR data. The image intensity model results in a correlation coefficient (R2 ) of 0.78 in double bounce dominant area while that of 0.54 in single bouncing dominant area. This shows that double bounce dominant area should be selected for water height measurement using In8AR technique.

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Quantitative Analysis on the Variations of Ground Reaction Force during Ascent and Descent of Bus Stairs in Women

  • Hyun, Seung Hyun;Ryew, Che Cheong
    • Korean Journal of Applied Biomechanics
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    • v.27 no.3
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    • pp.181-187
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    • 2017
  • Objective: The aim of the study was to compare & analyze on the variations of ground reaction force during ascending and descending of bus stair. Method: Simulated wooden stair of bus (raiser: 37.66 cm, width: 109 cm, tread: 29 cm) and GRF system (AMTI-OR-7/ AMTI., USA) was set up within experimental room. Adult female (n=8) performed ascending & descending of simulated bus stair, and variables analyzed consisted of TT (transfer-time), PVF (peak vertical force), LR (loading rate), DR (decay rate), CV (coefficient of variation) and AI (asymmetry index). Sample data from GRF cut off at 1,000 Hz. Results: TT showed shortest variation at phase 1 during descending, but longest variation at phase 1 during ascending of stair. PVF19 (Fz2, 100%) showed large pattern during descending than that of ascending, but rather showed small pattern during ascending of stair in case of PVF2 (Fz4). LR showed larger pattern during descending than that of ascending, but rather during ascending of stair in case of DR. Variation of CV (%) did not show difference between LR and DR, but showed higher possible occurrence of variation during descending of stair. Also AI (%) showed higher index during ascending than that of descending of stair. Conclusion: Because introduction of lowered bus stair has various realistic problems, if lined up at designated bus stopage exactly, rather can solve problems of inconvenience, reduce impulsive force and secure a stability of COG during ascending & descending of stair.