• Title/Summary/Keyword: Multi-Experience

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Motivation in Using and Sharing Experience on Social Media among Multi-Generational Travelers

  • Hartijasti, Yanki;Cho, Namjae
    • Journal of Information Technology Applications and Management
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    • v.25 no.4
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    • pp.171-184
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    • 2018
  • Social media has been integrated into a part of travel industry. Subsequently, it has influenced tourists' travel behavior. Prior studies claim that individuals have different behaviors regarding the use of social media for travel purposes. With lack of studies focusing on age group, the objective of this study is to determine whether there is a difference in the motivation among three generations in using social media for the sake of sharing travel experiences. Finding shows that all generations use social media with similar motivation for travel purposes. They have high motivation in obtaining travel information before the trip and in sharing memorable travel experiences through social media. They also wanted to keep such information as personal document during and after the traveling.

Comparison of Multi-intelligence of gifted students and their parents' perception of their children (영재학생의 다중지능과 그 학부모가 인식하는 자녀에 대한 다중지능의 비교)

  • Ryu, Hyunah
    • East Asian mathematical journal
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    • v.37 no.4
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    • pp.381-400
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    • 2021
  • In this study, we compare the multiple intelligence of gifted students with the multiple intelligence of their children recognized by their parents. The subjects of the study are 118 students and their parents at the gifted education center affiliated with A University. First of all, there is a difference between the multiple intelligence of gifted students and the multiple intelligence recognized by their parents. Parents are highly regarded their children in all multiple intelligence components. Second, there are differences in multiple intelligence of gifted students' gender. The difference in multiple intelligence of children recognized by parents depending on the gender of the student was similar to the student's results. Third, there are not much difference in multiple intelligence between elementary and middle school students. However, there is a big difference between students and parents in the elementary school group compared to the middle school students. Therefore, since multi-intelligence can be developed by individual experience and environment throughout one's life, an educational environment that reflects objective evaluation and student needs rather than parental subjective judgment should be created.

Research Trends of Multi-agent Collaboration Technology for Artificial Intelligence Bots (AI Bots를 위한 멀티에이전트 협업 기술 동향)

  • D., Kang;J.Y., Jung;C.H., Lee;M., Park;J.W., Lee;Y.J., Lee
    • Electronics and Telecommunications Trends
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    • v.37 no.6
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    • pp.32-42
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    • 2022
  • Recently, decentralized approaches to artificial intelligence (AI) development, such as federated learning are drawing attention as AI development's cost and time inefficiency increase due to explosive data growth and rapid environmental changes. Collaborative AI technology that dynamically organizes collaborative groups between different agents to share data, knowledge, and experience and uses distributed resources to derive enhanced knowledge and analysis models through collaborative learning to solve given problems is an alternative to centralized AI. This article investigates and analyzes recent technologies and applications applicable to the research of multi-agent collaboration of AI bots, which can provide collaborative AI functionality autonomously.

Photon-Counting Computed Tomography: Experience in Musculoskeletal Imaging

  • Jan-Peter Grunz;Henner Huflage
    • Korean Journal of Radiology
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    • v.25 no.7
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    • pp.662-672
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    • 2024
  • Since the emergence of the first photon-counting computed tomography (PCCT) system in late 2021, its advantages and a wide range of applications in all fields of radiology have been demonstrated. Compared to standard energy-integrating detector-CT, PCCT allows for superior geometric dose efficiency in every examination. While this aspect by itself is groundbreaking, the advantages do not stop there. PCCT facilitates an unprecedented combination of ultra-high-resolution imaging without dose penalty or field-of-view restrictions, detector-based elimination of electronic noise, and ubiquitous multi-energy spectral information. Considering the high demands of orthopedic imaging for the visualization of minuscule details while simultaneously covering large portions of skeletal and soft tissue anatomy, no subspecialty may benefit more from this novel detector technology than musculoskeletal radiology. Deeply rooted in experimental and clinical research, this review article aims to provide an introduction to the cosmos of PCCT, explain its technical basics, and highlight the most promising applications for patient care, while also mentioning current limitations that need to be overcome.

Multi-sensor based expert system for arc welding (다중 센서 정보에 의한 아크 용접 전문가 시스템)

  • 전의식;오재웅
    • 제어로봇시스템학회:학술대회논문집
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    • 1992.10a
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    • pp.797-800
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    • 1992
  • Much experience and knowledge is needed in welding because there are many working parameters and quantitative description is difficult. Therefore, introduction of expert system based on such data base has been required. In this study, welding heat and shape of bead was controlled by fuzzy inference with the welding condition, position error and voltage and current error of robot. For this, torch trajectory of robot was generated by modeling the working data with CAD and then welding was carried out through down loading to robot. And working error was controlled by on-line communication.

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A computed-error-input based learning scheme for multi-robot systems

  • Kuc, Tae-Yong
    • 제어로봇시스템학회:학술대회논문집
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    • 1995.10a
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    • pp.518-521
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    • 1995
  • In this paper, a learning control problem is formulated for cooperating multiple-robot manipulators with uncertain system parameters. The commonly held object is also assumed to be unknown and the multiple-robots themselfs experience uncertain operating conditions such as link parameters, viscous friction parameters, suctions, actuator bias, and etc. Under these conditions, the learning controllers designed for learning of uncertain parameters and robot control inputs for multiple-robot systems are shown to drive the multiple-robot manipulators to follow the desired Cartesian trajectory with the desired internal forces to the unknown object.

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A study of Family UI on multi-platform (멀티플랫폼에서 Family UI의 적용에 관한 사례연구)

  • Shin, Hyun-Jin;Jeong, Seung-Mo;Lee, Ja-Young;Song, Hyun-Chul
    • 한국HCI학회:학술대회논문집
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    • 2009.02a
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    • pp.1030-1037
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    • 2009
  • One brand is taking various forms as it is made applicable to different platforms. As a result users are presented with different interfaces, navigations, and menu structures and therefore are given the burden of relearning. So, in order to minimize such inconveniences and provide consistency of use within multi-platform environments a guide that will increase the service environment predictability is necessary. This paper defines Family UI as to refer to the element of user interface that gives consistency within various platforms belonging to one company band. To propose implications of Family UI, this paper will analyze case studies in which the consistency policies have been applied.

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Numerical simulation of steel plate reinforced concrete panels exposed to impact loading using multi-solver technique (Multi-solver 기법을 이용한 강판보강 콘크리트 패널의 충돌 수치 시뮬레이션)

  • Noh, Myung-Hyun;Lee, Sang-Youl;Park, Tae-Hyo
    • Proceedings of the Computational Structural Engineering Institute Conference
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    • 2008.04a
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    • pp.590-595
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    • 2008
  • In the present paper, the impact damage behavior of steel plate reinforced concrete panels exposed to shock impulsive loading and fragment impact loading is investigated. To evaluate the retrofit performance of a steel-strengthened concrete panels, a numerical experiment using a numerical simulation with AUTODYN, an explicit analysis program is introduced because a real explosion experiment requires the vast investment and expense for facilities as well as the deformation mechanisms are too complicated to be reproduced with a conventional closed-form analyses. The model for the analysis is simplified and idealized as a two-dimensional and axisymmetric case controled with geometry, boundary condition and material properties in order to obtain a resonable computation time. As a result of the analysis, panels subject to either shock loading or fragment loading without the steel plate reinforcement experience the perforation with spalled fragments. In addition, the panels reinforced with steel plate can prevent the perforation and provide the good mechanical effect such as the increase of global stiffness and strength through the composite action between the concrete slab and the steel plate.

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Multi-scale 3D Panor ama Content Augmented System using Depth-map

  • Kim, Cheeyong;Kim, Eung-Kon;Kim, Jong-Chan
    • Journal of Korea Multimedia Society
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    • v.17 no.6
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    • pp.733-740
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    • 2014
  • With the development and spread of 3D display, users can easily experience an augmented reality with 3D features. Therefore, the demand for content of an augmented reality is exponentially growing in various fields. A traditional augmented reality environment was generally created by CG(Computer Graphics) modelling production tools. However, this method takes too much time and efforts to create an augmented environment. To create an augmented environment similar to the real world, everything in the real world should be measured, gone through modeling, and located in an augmented environment. But the time and efforts spent in the creation don't produce the same environment as the real world, making it hard for users to feel the sense of reality. In this study, multi-scale 3D panorama content augmented system is suggested by using a depth-map. By finding matching features from images to add 3D features to an augmented environment, a depth-map is derived and embodied as panorama, producing high-quality augmented content system with a sense of reality. With this study, limits of 2D panorama technologies will be overcome and a sense of reality and immersion will be provided to users with a natural navigation.