• Title/Summary/Keyword: Contents generation

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A Study on Gamification-based Effective Digital Marketing Plan Targeting at Generation MZ (MZ세대를 겨냥한 게이미피케이션 기반 효과적인 디지털 마케팅 방안 연구)

  • Nang, Yunseo;Kim, Kyujung
    • The Journal of the Korea Contents Association
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    • v.22 no.7
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    • pp.202-215
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    • 2022
  • The purpose of this study is to identify gamification techniques and characteristics of digital marketing based on the main information communication, learning, and play of the current consumer group, and to present effective gamification digital marketing plans for the MZ generation. The summary of the research process is as follows. First, the characteristics and definitions of MZ generation and gamification were described and the concept was clarified. Second, domestic and foreign gamification cases were compared and analyzed. Studies show that we should be wary of gamification digital marketing, which fails to reflect the characteristics of the fun-seeking MZ generation by failing to organically connect the mechanisms and structures of gamification, focusing only on visible elements, such as Point, Badge, and Leaderboard. In addition, customers who lose the fun of obtaining rewards and leave because they feel that the rewards (points, badges, leaderboards) they provide are worthless should be prevented.

The Development of the Predict Model for Solar Power Generation based on Current Temperature Data in Restricted Circumstances (제한적인 환경에서 현재 기온 데이터에 기반한 태양광 발전 예측 모델 개발)

  • Lee, Hyunjin
    • Journal of Digital Contents Society
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    • v.17 no.3
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    • pp.157-164
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    • 2016
  • Solar power generation influenced by the weather. Using the weather forecast information, it is possible to predict the short-term solar power generation in the future. However, in limited circumstances such as islands or mountains, it can not be use weather forecast information by the disconnection of the network, it is impossible to use solar power generation prediction model using weather forecast. Therefore, in this paper, we propose a system that can predict the short-term solar power generation by using the information that can be collected by the system itself. We developed a short-term prediction model using the prior information of temperature and power generation amount to improve the accuracy of the prediction. We showed the usefulness of proposed prediction model by applying to actual solar power generation data.

Multiple Color and ToF Camera System for 3D Contents Generation

  • Ho, Yo-Sung
    • IEIE Transactions on Smart Processing and Computing
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    • v.6 no.3
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    • pp.175-182
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    • 2017
  • In this paper, we present a multi-depth generation method using a time-of-flight (ToF) fusion camera system. Multi-view color cameras in the parallel type and ToF depth sensors are used for 3D scene capturing. Although each ToF depth sensor can measure the depth information of the scene in real-time, it has several problems to overcome. Therefore, after we capture low-resolution depth images by ToF depth sensors, we perform a post-processing to solve the problems. Then, the depth information of the depth sensor is warped to color image positions and used as initial disparity values. In addition, the warped depth data is used to generate a depth-discontinuity map for efficient stereo matching. By applying the stereo matching using belief propagation with the depth-discontinuity map and the initial disparity information, we have obtained more accurate and stable multi-view disparity maps in reduced time.

A Study of Generating Depth map for 3D Space Structure Recovery

  • Ban, Kyeong-Jin;Kim, Jong-Chan;Kim, Eung-Kon;Kim, Chee-Yong
    • Journal of Korea Multimedia Society
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    • v.13 no.12
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    • pp.1855-1862
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    • 2010
  • In virtual reality, there are increasing qualitative development in service technologies for realtime interaction system development, 3- dimensional contents, 3D TV and augment reality services. These services experience difficulties to generate depth value that is essential to recover 3D space to form solidity on existing contents. Hence, research for the generation of effective depth-map using 2D is necessary. This thesis will describe a shortcoming of an existing depth-map generation for the recovery of 3D space using 2D image and will propose an enhanced depth-map generation algorithm that complements a shortcoming of existing algorithms and utilizes the definition of depth direction based on the vanishing point within image.

A Study on Process of Creating 3D Models Using the Application of Artificial Intelligence Technology

  • Jiayuan Liang;Xinyi Shan;Jeanhun Chung
    • International Journal of Advanced Culture Technology
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    • v.11 no.4
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    • pp.346-351
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    • 2023
  • With the rapid development of Artificial Intelligence (AI) technology, there is an increasing variety of methods for creating 3D models. These include innovations such as text-only generation, 2D images to 3D models, and combining images with cue words. Each of these methods has unique advantages, opening up new possibilities in the field of 3D modeling. The purpose of this study is to explore and summarize these methods in-depth, providing researchers and practitioners with a comprehensive perspective to understand the potential value of these methods in practical applications. Through a comprehensive analysis of pure text generation, 2D images to 3D models, and images with cue words, we will reveal the advantages and disadvantages of the various methods, as well as their applicability in different scenarios. Ultimately, this study aims to provide a useful reference for the future direction of AI modeling and to promote the innovation and progress of 3D model generation technology.

Content Recommendation System Using User Context-aware based Knowledge Filtering in Smart Environments (스마트 환경에서의 사용자 상황인지 기반 지식 필터링을 이용한 콘텐츠 추천 시스템)

  • Lee, Dongwoo;Kim, Ungsoo;Yeom, Keunhyuk
    • The Journal of Korean Institute of Next Generation Computing
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    • v.13 no.2
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    • pp.35-48
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    • 2017
  • There are many and various devices like sensors, displays, smart phone, etc. in smart environment. And contents can be provided by using these devices. Vast amounts of contents are provided to users, but in most environments, there are no regard for user or some simple elements like location and time are regarded. So there's a limit to provide meaningful contents to users. In this paper, I suggest the contents recommendation system that can recommend contents to users by reasoning context of users, devices and contents. The contents recommendation system suggested in this paper recommend the contents by calculating the user preferences using the situation reasoned with the contextual data acquired from various devices and the user profile received from the user directly. To organize this process, the method on how to model ontology with domain knowledge and how to design and develop the contents recommendation system are discussed in this paper. And an application of the contents recommendation system in Centum City, Busan is introduced. Then, the evaluation methods how the contents recommendation system is evaluated are explained. The evaluation result shows that the mean absolute error is 0.8730, which shows the excellent performance of the proposed contents recommendation system.

Study on Optimum Conditions for the Composting of Industrial Wastewater Sludge (공단 폐수 슬러지의 퇴비화 최적조건)

  • Lee, Hong-Jae;Cho, Ju-Sik;Heo, Jong-Su
    • Journal of Environmental Science International
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    • v.7 no.1
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    • pp.96-103
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    • 1998
  • To study the optimum conditions of composting with industrial wastewater sludge, the variations of temperature and $CO_2$ generation amount during the composting periods were investigated. The conditions were that industrial wastewater added to bulking agents such as sawdust and rice hull was used, and differently treated with microorganism seeding or not, initial C/N ratios, air flow rate and initial moisture contents, respectively. The results were summarized as follows : Seeding 5% of microorganism was higher the temperature than not seeding. And using sawdust as bulking agents, and adjusting 30~40 of Initial C/N ratio, 200ml/l.min. of k flow rate and 67~68% moisture contents were higher the temperature than any other conditions. Seeding 5% of microorganisms was higher $CO_2$ generation amount than not seeding. And that was much in the order of 7~40, 30~34 and 22~23 of initial C/N ratio. Judging from the results, it should be considered that the optimum conditions in the composting of industrial wastewater sludge were seeding of 5% microorganisms, and adjusting 30~34 of Initial C/N ratio, 200ml/l min. of air flow rate and 67~68% of Intitial moisture contents. The contents of inorganic matters and C/N ratio during the composting periods at optimum condition were a little Increased. and heavy metals contents after composting were lower than standard for fortllizer.

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Dynamic Testing for Word - Oriented Memories (워드지향 메모리에 대한 동적 테스팅)

  • Young Sung H.
    • Journal of the Korea Computer Industry Society
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    • v.6 no.2
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    • pp.295-304
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    • 2005
  • This paper presents the problem of exhaustive test generation for detection of coupling faults between cells in word-oriented memories. According to this fault model, contents of any w-bit memory word in a memory with n words, or ability tochange this contents, is influenced by the contents of any other s-1 words in the memory. A near optimal iterative method for construction of test patterns is proposed The systematic structure of the proposed test results in simple BIST implementations.

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A Network Transport System Using Next Generation CCN Technology

  • Lee, Hyung-Su;Park, Jae-Pyo;Park, Jae-Kyung
    • Journal of the Korea Society of Computer and Information
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    • v.22 no.10
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    • pp.93-100
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    • 2017
  • Current internet has evolved from the sharing and efficiency aspects of information, it is still vulnerable to the fact that the Internet is not secure in terms of security and is not safe to secure of security mechanism. Repeating patches on continuous hacking are continuously demanding additional resources for network or system equipment, and consequently the costs continue to increase. Businesses and individuals alike are speeding up the damage caused by crime like of ransomware, not jusy simple attacks, and businesses and individuals need to respond to cyber security. In addition, the ongoing introduce of security device, and separate of networks for secure transmission of contents in the existing TCP/IP system, but it is still lacking in security. To complement the security implications of this existing TCP/IP Internet Protocol, we intend to propose a Secure Contents Transport System (SCTS) on the network using the CCN concept.

An Efficient Application of eBSS DRM Method to eBook Contents based on ePub 3.0 for Smart Device

  • Jun, Eung Sup
    • Journal of the Korea Society of Computer and Information
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    • v.21 no.12
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    • pp.59-72
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    • 2016
  • DRM(Digital Rights Management) is essential for the copy right protection of eBooks based on ePub 3.0 by IDPF. In this paper, we developed eBSS(eBook Service System) as ePub 3.0 builder and viewer system with DRM and proposed an efficient DRM method which improves the performance of contents generation, security and distribution system. The efficient application of DRM method to the eBook contents based on ePub 3.0 for smart phone is practically useful for eBook service system. It is very useful for the suggested eBSS with DRM method and strategy to apply easily and practically to the encryption and decryption of the eBook contents. Also, it is very efficient to generate the ePub 3.0 contents and to apply DRM method to it especially, by using practically this suggested ePub 3.0 builder system from the view point of the eBook content generation and its viewer such as eBook reader for user and eBook providers.