• Title/Summary/Keyword: Mobile AI

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ICT Utilization for Optimization of SME Decision Making (중소기업 의사결정 최적화를 위한 ICT 활용 방안)

  • Park, Ji-Young;Kim, Kyung-Ihl
    • Journal of Convergence for Information Technology
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    • v.8 no.1
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    • pp.275-280
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    • 2018
  • Companies are now rapidly entering the realm of the realtime economy named 'Now Economy'. 'Now Economy' features the measurement and assessment, accelerating speed of decision making about business. According to this, companies intend to change their disposition to be able to make quick and accurate decision by gathering informations rapidly and correctly, and then by processing that. Applications of ICT can be possible to change the new decision system of companies. In this thesis, the new decision system through amalgamations of BPMS, Mobile, Cloud Service, Hadoop, BI and AI is presented. It will be able to make decision quickly and accurately by collecting all information between the most efficiently managed process and formal and informal data inside company through this, and then by combining changes with situations outside company.

Implementation of 3D mobile game using radiosity model and AI algorithm (Radiosity model과 AI 알고리즘을 이용한 모바일 게임 구현)

  • Kim, Seongdong;Chin, Seonga;Cho, Teresa
    • Journal of Korea Game Society
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    • v.17 no.1
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    • pp.7-16
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    • 2017
  • The 3D game graphic technology has become an important factor in the contents field with the game contents development. In particular, game character technology provides a realistic technique and visual pleasure, as well as an intermediate step in the immersion of the game in which the game might create an optical illusion that enables the player to enjoy heroic adventure in the game. The high expression level of characters in 3D games is a key factor in the development process, with details and carefulness of the character setting work [3]. In this paper, we propose a character representative technique applied to mobile games using mathematical model of radiosity energy, spectral radiance model, and ray tracing model method using 3D unity game engine with sensible AI algorithm for game implementation. As a practical application to the game contents, it was found that the projection of the surface in the rendering process and the game simulation might change according to the lighting condition of the game content environment, so that the high quality of game characters was simulated.

Construction Status and Proposal for Information Communication Facility of Childcare Center -After COVID19, focusing on IT Technology Utilization- (어린이집 정보통신설비 구축현황 및 제안 -COVID19 이후 IT기술활용 중심으로-)

  • Lee, Jae-Yong;Shin, Seung-Jung
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.20 no.4
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    • pp.43-50
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    • 2020
  • The purpose of this study is to examine the case of constructing information and communication facilities in daycare centers and to propose an educational environment that can foster young talents who can lead the era of the fourth industrial revolution. In particular, after COVID19, a method was proposed to create an information and communication environment suitable for children to receive personalized education, and to create an environment for experiential education if possible, and at the same time to enable averaging of customized learning. Since there has been no research on information and communication facilities in daycare centers, we intend to place significance on starting, and in the future, to foster creative and contextual children, we will reduce the movement of teachers through smart speakers and mobile devices, and tailor the educational environment through AI data. I think that the design of the daycare center should be changed in the direction of making the product. To this end, the CM role of information and communication supervision is needed, and it is hoped that it will become a design standard for daycare centers after COVID19 by developing research on daycare centers.

Changes in the Industrial Structure caused by the IoT and AI (사물인터넷과 AI가 가져올 산업구조의 변화)

  • Kim, Jang-Hwan
    • Convergence Security Journal
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    • v.17 no.5
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    • pp.93-99
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    • 2017
  • Recently IoT(Internet of Things) service industry has grown very rapidly. In this paper, we investigated the changes in IoT service industry as well as new direction of human life in future global society. Under these changing market conditions, competition has been also changed into global and ecological competition. But compared to the platform initiatives and ecological strategies of global companies, Korean companies' vision of building ecosystems is still unclear. In addition, there is a need of internetworking between mobile and IoT services. IoT security Protocol has weakness of leaking out information from Gateway which connected wire and wireless communication. As such, we investigate the structure of IoT and AI service ecosystem in order to gain strategic implications and insights for the security industry in this paper.

AI Security Plan for Public Safety Network App Store (재난안전통신망 앱스토어를 위한 AI 보안 방안 마련)

  • Jung, Jae-eun;Ahn, Jung-hyun;Baik, Nam-kyun
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2021.10a
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    • pp.458-460
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    • 2021
  • The provision and application of public safety network in Korea is still insufficient for security response to the mobile app of public safety network in the stages of development, initial construction, demonstration, and initial service. The available terminals on the Disaster Safety Network (PS-LTE) are open, Android-based, dedicated terminals that potentially have vulnerabilities that can be used for a variety of mobile malware, requiring preemptive responses similar to FirstNet Certified in U.S and Google's Google Play Protect. In this paper, before listing the application service app on the public safety network mobile app store, we construct a data set for malicious and normal apps, extract features, select the most effective AI model, perform static and dynamic analysis, and analyze Based on the result, if it is not a malicious app, it is suggested to list it in the App Store. As it becomes essential to provide a service that blocks malicious behavior app listing in advance, it is essential to provide authorized authentication to minimize the security blind spot of the public safety network, and to provide certified apps for disaster safety and application service support. The safety of the public safety network can be secured.

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Rapid Self-Configuration and Optimization of Mobile Communication Network Base Station using Artificial Intelligent and SON Technology (인공지능과 자율운용 기술을 이용한 긴급형 이동통신 기지국 자율설정 및 최적화)

  • Kim, Jaejeong;Lee, Heejun;Ji, Seunghwan
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.26 no.9
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    • pp.1357-1366
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    • 2022
  • It is important to quickly and accurately build a disaster network or tactical mobile communication network adapting to the field. In configuring the traditional wireless communication systems, the parameters of the base station are set through cell planning. However, for cell planning, information on the environment must be established in advance. If parameters which are not appropriate for the field are used, because they are not reflected in cell planning, additional optimization must be carried out to solve problems and improve performance after network construction. In this paper, we present a rapid mobile communication network construction and optimization method using artificial intelligence and SON technologies in mobile communication base stations. After automatically setting the base station parameters using the CNN model that classifies the terrain with path loss prediction through the DNN model from the location of the base station and the measurement information, the path loss model enables continuous overage/capacity optimization.

Reinforcement learning for multi mobile robot control in the dynamic environments (동적 환경에서 강화학습을 이용한 다중이동로봇의 제어)

  • 김도윤;정명진
    • 제어로봇시스템학회:학술대회논문집
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    • 1996.10b
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    • pp.944-947
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    • 1996
  • Realization of autonomous agents that organize their own internal structure in order to behave adequately with respect to their goals and the world is the ultimate goal of AI and Robotics. Reinforcement learning gas recently been receiving increased attention as a method for robot learning with little or no a priori knowledge and higher capability of reactive and adaptive behaviors. In this paper, we present a method of reinforcement learning by which a multi robots learn to move to goal. The results of computer simulations are given.

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A Study on Malware Program Detection in Mobile Game (모바일 게임에서 악성 프로그램 탐지에 관한 연구)

  • Kim, Hyo-Nam
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2018.01a
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    • pp.153-154
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    • 2018
  • 전 세계 모바일 게임 소비 시장의 증가와 사용자들이 지속적으로 증가하는 반면 랜섬웨어와 같은 악성 프로그램들이 악의적인 목적을 위하여 모바일게임 시장에 피해를 주는 사례들도 지속적으로 증가하는 것도 사실이다. 본 논문에서는 모바일 게임을 이용한 악성코드 위협으로부터 보호하기 위하여 4차 산업의 가장 핵심 기술인 인공지능의 학습기술에 악성코드 분석기술을 연계시켜 새로운 모바일 악성코드 탐지와 속도를 향상시키는 기술의 필요성을 제시한다.

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Competition between Mobile Pay and Credit Card Systems (모바일페이사와 신용카드사의 경쟁)

  • Lee, Ying-Ai;Park, Chong-Kook
    • Asia-Pacific Journal of Business
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    • v.9 no.4
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    • pp.49-65
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    • 2018
  • This paper illustrates the competition between the mobile pay and credit card systems by utilizing the theory of two-sided markets. Two firms, as platforms, maximize the profit collecting fees from consumers on one side and from retailers on the other side. Consumers pay to buy goods and services with mobile pay, credit card, or cash. The basic model is one that each platform maximizes its profit. We show that the fees for credit card holders and retailers are higher than the respective costs. The fee for retailers of the mobile payment is higher than its cost, while the buyer's fee may be higher or lower than its cost. Applied model is the one that employs the delegation game model. The total profit of the mobile pay system is composed of its profit and the weighted demand for the mobile pay. It is shown that buyers' fee under the applied model is lower than that under the basic model, resulting in an increase of the demand for the mobile pay. The fee for the retailers rises, albeit the sum of fees for the buyers and retailers falls. The profit for the mobile pay system is increased, while that for the credit card company stays the same.

Effect of the Underwater Ai-Chi Exercise Program on Hip Joint Mobility, Body Balance and Posture Change Based on Amount of the Physical Activity of College Students (수중 Ai-Chi 운동프로그램이 신체 활동량에 따른 대상자의 엉덩관절 가동성과 자세 및 균형에 미치는 영향 )

  • Ki-Won Nam;Se-Hun Kim
    • Journal of the Korean Society of Physical Medicine
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    • v.18 no.4
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    • pp.89-96
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    • 2023
  • PURPOSE: To investigate the effects of the underwater Ai-Chi exercise on the joint range of motion, balance and posture. METHODS: Thirty-six college students (30 men, 6 women) were divided into a 'low physical activity' groups (Group I). and an 'appropriate physical activity' groups (Group II). The Ai-Chi underwater exercise was conducted three times a week for two weeks for both groups. A goniometer was used to measure the range of motion of the hip joint, and Y-Balance and the posture screen mobile were used to measure the stability of the lower extremities. RESULTS: An evaluation of the range of motion of the hip joint before and after the Ai-Chi exercise showed significant results in the low physical activity group. However, the flexural range showed a significant increase after exercise, but not significant result. In the comparison of the mean increase between groups, only the right hip joint showed a significant difference in both groups. Also, in the comparison of the Y balance test and posture screen test before and after exercise, both groups showed significant. CONCLUSION: The Ai-Chi underwater exercise helped improve the range of motion of the hip joint and the ability to balance. Also It helped improve posture alignment. In addition, although the increase in all physical activity groups lower than the appropriate physical activity groups was greater in all figures, the increase in the number of samples, the extension of the experimental period, and various variables could be obtained.