• Title/Summary/Keyword: game application

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A Systematic Construction Process of 3D Database for Realtime Virtual Simulation of Transportation Equipments (수송장비의 실시간 가상 시뮬레이션을 위한 3차원 데이터베이스의 체계적인 구축 프로세스)

  • Kim, Bo-Hyun
    • IE interfaces
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    • v.16 no.2
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    • pp.258-267
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    • 2003
  • Recently, virtual reality technologies have been rapidly developed and realtime virtual simulation methods have been extensively employed for several application areas such as game, sports, manufacturing, military, and so on. A 3D database in realtime virtual simulation plays a key role because it makes users feel reality in virtual space. In a application view of 3D database, a systematic construction approach is required to reduce its construction time and increase its quality. However, many researches have been mostly focused on realtime graphic issues and its key technologies. In virtual simulation of transportation equipments, this paper proposes a systematic construction process of 3D database consisting of four stages as follows: 1) determine the activity space of a equipment, 2) collect data related to 3D database construction, 3) make a 3-dimensional modeling strategy, and 4) generate and evaluate a 3D model. This paper also introduces a new procedure of 3D environment modeling, which summarizes and expands our modeling experiences, to be used as a modeling guide.

Application of Spectral Properties of Basic Splines in Problems of Processing of Multivariate Signals

  • Zaynidinov, H.N.;Yun, Tae-Soo;Chae, Eel-Jin
    • International Journal of Contents
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    • v.3 no.4
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    • pp.26-29
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    • 2007
  • The paper is devoted to problem of spline approximation. A new method of nodes location for curves and surfaces computer construction in multidimensional spaces by means of B-splines is presented. The criteria are which links a square-mean error caused by high frequency spline distortions and approximation intervals is determined and necessary theorem is proved. In this method use a theory of entire multidimensional spectra and may be extended for the spaces of three, four and more variables. Future work: application area such as digital contents like animation, game graphic.

An Automatic and Scalable Application Crawler for Large-Scale Mobile Internet Content Retrieval

  • Huang, Mingyi;Lyu, Yongqiang;Yin, Hao
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.12 no.10
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    • pp.4856-4872
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    • 2018
  • The mobile internet has grown ubiquitous across the globe with the widespread use of smart devices. However, the designs of modern mobile operating systems and their applications limit content retrieval with mobile applications. The mobile internet is not as accessible as the traditional web, having more man-made restrictions and lacking a unified approach for crawling and content retrieval. In this study, we propose an automatic and scalable mobile application content crawler, which can recognize the interaction paths of mobile applications, representing them as interaction graphs and automatically collecting content according to the graphs in a parallel manner. The crawler was verified by retrieving content from 50 non-game applications from the Google Play Store using the Android platform. The experiment showed the efficiency and scalability potential of our crawler for large-scale mobile internet content retrieval.

An Implementation of TV Anytime based Personalized EPG for an Advanced IPTV Application (향상된 IPTV 응용을 위한 TV Anytime 기반 개인형 전자 프로그램 가이드 구현)

  • Pyo, Shin-Jee;Lim, Jeong-Yeon;Kim, Mun-Churl
    • Proceedings of the IEEK Conference
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    • 2006.06a
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    • pp.675-678
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    • 2006
  • IPTV (Internet Protocol Television) is an efficient system which serves various contents to subscribing consumers by using the IP over a broadband connection. The IPTV services can be multi-channel broadcasting service, VoD, T-Commerce, video conference, on-line game and so on. TV Anytime metadata provides various description tools for TV program contents by which TV program contents can serve more information. In this paper, we mention about the overview and feature of IPTV and TV Anytime metadata, propose the essential functions in the EPG program of IPTV and survey the description tools for the proposed functions in EPG. Finally, we show the authored metadata and the implementation of advanced EPG application.

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A Study on Speciality about Game Software Using CMMI (CMMI 인증을 위한 게임 소프트웨어 특수성 고찰)

  • Kim JeongWoong;Jung HyeJung;Yang HaeSool
    • Proceedings of the Korea Information Processing Society Conference
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    • 2004.10a
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    • pp.448-452
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    • 2004
  • 공학적 기반에 의한 소프트웨어 품질 개선에 대한 노력은 역량 성숙도 모델(CMM)에서 특정 프로세스가 정확하게 정의되고, 관리되고, 측정되고, 통제되고, 효과적이게 될 수 있는 방향으로 진행되고 있다. 또한 소프트웨어 엔지니어링 분야에 국한되지 않고 시스템, 인력 분야 등에서의 다양한 역량 성숙도 모델을 바탕으로 프로세스 개선이 이루어지고 있다. 그러나 이는 중복성 등 관리상의 문제가 발생하여 이를 통합(CMMI)하려는 연구가 이루어졌다. 이에 게임 개발 프로젝트의 CMMI 적용 방안을 모색하고 기대되는 개선효과를 논한다.

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Development of 3D Application For Mobile Phone Based on J2ME

  • Lee, Song-Won;Kim, Il-Myung;Hong, Sung-Soo
    • Proceedings of the Korea Information Processing Society Conference
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    • 2006.11a
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    • pp.455-458
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    • 2006
  • John Carmack who invented the 3D games let us know about the great 3D world and because of the MIDP 2.0(Mobile Information Device Profilers entering, it is not a fame to achieve playing 3D games with a mobile device. The data offered by iResearch market consultation show that the figure of mobile game players all around the world will take a steady increase from 290 million in 2005 to 1030 million in 2008, and the market income will mount up from $10,200 million to $52.000 million.3D games will be a current, the most famous kind of mobile games. In this paper I design 3D application based on J2ME (Java 2 Micro Edition) and implement a freely removable 3D object which happened in a 3D scene by receiving the keyboard response of mobile device with WTK (Wireless Too.Kit) simulator.

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Android-based games (That Rule) Application Development (안드로이드 기반 게임 (That Rule) 애플리케이션 개발)

  • Cho, Kyu Cheol;Yeom, Sun Woo
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2019.01a
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    • pp.223-224
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    • 2019
  • 스마트폰 애플리케이션 시장은 단기간 비약적인 성장을 거듭했다. 여러 각종 분야에서 애플리케이션 개발을 원하는 곳이 많아졌고 그만큼 앱 개발자들을 원하는 시장이 늘어나고 있다. 본 연구는 앱 개발을 도전하려는 1인 혹은 소규모 아마추어 개발자 입장에서 관련 실력을 효과적으로 늘릴 수 있는 방법을 제공하고 전반적인 애플리케이션 개발과 환경에 관한 유익한 정보들을 쉽게 접근함으로써 조금 더 애플리케이션 개발에 관심을 갖게 되는 계기가 될 것이다. 또한 본 연구의 게임 애플리케이션은 사용자들의 명시적 기억과 암묵적 기억 훈련에 도움을 줄 수 있도록 개발하였다.

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Global Fashion Brand Non-Fungible Token (NFT) Application Case Study

  • Hye-Sook Park;Phil-Joo Moon
    • International Journal of Advanced Culture Technology
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    • v.11 no.3
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    • pp.315-320
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    • 2023
  • Covid-19 is rapidly changing the global society. In particular, as the online connected world has become more important in recent years, new communication methods such as VR, AR, and metaverse have emerged as global trends. As social interest in technologies such as metaverse, blockchain, and NFT continues to grow, this study aims to understand the concept of NFT, which is being illuminated as a global trend keyword, and to examine the current status of the global fashion industry. As a result of examining NFT application cases of fashion brands that have grown rapidly since Covid-19, the use of NFT in the global fashion industry can be largely classified into three categories - Collection and Investment Type, Game Type NFT, Marketing and Event Type NFT. Based on this, We expect that this study will be used as basic data to actively utilize NFT, which is still in its infancy, to prepare a plan to revitalize the domestic fashion industry.

A Deep Learning Algorithm for Fusing Action Recognition and Psychological Characteristics of Wrestlers

  • Yuan Yuan;Yuan Yuan;Jun Liu
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.17 no.3
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    • pp.754-774
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    • 2023
  • Wrestling is one of the popular events for modern sports. It is difficult to quantitatively describe a wrestling game between athletes. And deep learning can help wrestling training by human recognition techniques. Based on the characteristics of latest wrestling competition rules and human recognition technologies, a set of wrestling competition video analysis and retrieval system is proposed. This system uses a combination of literature method, observation method, interview method and mathematical statistics to conduct statistics, analysis, research and discussion on the application of technology. Combined the system application in targeted movement technology. A deep learning-based facial recognition psychological feature analysis method for the training and competition of classical wrestling after the implementation of the new rules is proposed. The experimental results of this paper showed that the proportion of natural emotions of male and female wrestlers was about 50%, indicating that the wrestler's mentality was relatively stable before the intense physical confrontation, and the test of the system also proved the stability of the system.

Research on AI Painting Generation Technology Based on the [Stable Diffusion]

  • Chenghao Wang;Jeanhun Chung
    • International journal of advanced smart convergence
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    • v.12 no.2
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    • pp.90-95
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    • 2023
  • With the rapid development of deep learning and artificial intelligence, generative models have achieved remarkable success in the field of image generation. By combining the stable diffusion method with Web UI technology, a novel solution is provided for the application of AI painting generation. The application prospects of this technology are very broad and can be applied to multiple fields, such as digital art, concept design, game development, and more. Furthermore, the platform based on Web UI facilitates user operations, making the technology more easily applicable to practical scenarios. This paper introduces the basic principles of Stable Diffusion Web UI technology. This technique utilizes the stability of diffusion processes to improve the output quality of generative models. By gradually introducing noise during the generation process, the model can generate smoother and more coherent images. Additionally, the analysis of different model types and applications within Stable Diffusion Web UI provides creators with a more comprehensive understanding, offering valuable insights for fields such as artistic creation and design.