• Title/Summary/Keyword: 컨텐츠 서비스

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An Exploratory Study for Identifying Key Factors in Online Games Development Strategy Utilizing Web Community (온라인게임 개발전략에 관한 탐색적 연구 : 게임 커뮤니티 활용을 중심으로)

  • Jung, Jai-Jin;Chang, Chung-Moo;Kim, Tae-Ung
    • The KIPS Transactions:PartD
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    • v.11D no.4
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    • pp.991-1002
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    • 2004
  • Online game business has emerged as the most lucrative entertainment industry, with over 20 million platers. The popularity of online games can be attributed to the presence of numerous PC Bangs around the country, which have pushed online games into the mainstream culture while broadband internet services facilitated online game play. The age distribution of online game players is expanding and a variety of new games are under development to target certain age groups. While the online game market continues to expand, with many new online game publishers entering the market, relatively little is known about which factors are strategically important for successful development of online games. A conceptual framework is proposed, and a structural equation modeling, for Identifying the factors affecting the market success of online games, is developed. The concept of online game community, idea generation, systematic development strategy, flexible development process, utilizing demo-version, outsourcing, etc, are ail introduced into the model, as the independent variables affecting the success level of online games directly and indirectly. Based on data collected from questionnaire survey, the validity of the model has been tested and interesting conclusions have been developed concerning the relationships between these variables. Statistical results show that utilizing online game community and system atic development strategy is the key for successful online game development. Other interesting results concerning game development strategy are also provided. It is hoped that this result might provide the useful guidelines for developing the successful online game contents. With a better understanding of key success factors, online game developers should be able to make adjustments in their development and marketing plans, providing them with a sustainable advantage over their competition.

A Real-Time Multiple Circular Buffer Model for Streaming MPEG-4 Media (MPEG-4 미디어 스트리밍에 적합한 실시간형 다중원형버퍼 모델)

  • 신용경;김상욱
    • Journal of KIISE:Computing Practices and Letters
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    • v.9 no.1
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    • pp.13-24
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    • 2003
  • MPEG-4 is a standard for multimedia applications and provides a set of technologies to satisfy the needs of authors, service providers and end users alike. In this paper, we suggest a Real-time Multiple Circular Buffer (M4RM Buffer) model, which is suitable for streaming these MPEG-4 contents efficiently. M4RM buffer generates each structure of the buffer, which matches well with each object composing an MPEG-4 content, according to the transferred information, and manipulates multiple read/write operations only by its reference. It divides the decoder buffer and the composition buffer, which are described in the standard, by the unit of frame allocated to minimize the range of access. This buffer unit of a frame is allocated according to the object description. Also, it processes the objects synchronization within the buffer and provides APIs for an efficient buffer management to process the real-time user events. Based on the performance evaluation, we show that M4RM buffer model decreases the waiting time in a buffer frame, and so allows the real-time streaming of an MPEG-4 content using the smaller size of the memory block than IM1-2D and Window Media Player.

Analysis of Small Cell Technology Application for Performance Improvement in Simulation-based 5G Communication Environment (시뮬레이션 기반 5G 통신 환경에서 성능향상을 위한 스몰셀 기술 적용 분석)

  • Kim, Yoon Hwan;Kim, Tae Yeun;Lee, Dae Young;Bae, Sang Hyun
    • Smart Media Journal
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    • v.9 no.2
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    • pp.16-21
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    • 2020
  • Recently, mobile traffic is increasing exponentially as major traffic is transferred to IoT and visual media data in the dissemination of mobile communication terminals and contents use. In order to overcome the limitations of the existing LTE system, 5G mobile communication technology (5G) is a technology that meets 1000 times data traffic capacity, 4G LTE system acceptance, low latency, high energy efficiency, and high cost compared to 4G LTE system. The path loss due to the use of the frequency domain is very high, so it may be difficult to provide a service compared to the existing 4G LTE system. To overcome these shortcomings, various techniques are under study. In this paper, small cell technology is introduced to improve the system performance of 5G mobile communication systems. The performance is analyzed by comparing the results of small cell technology application, macro communication and small cell communication, and the results of the proposed algorithm application for power control. The analysis results show that the use of small cell technology in the 5th generation mobile communication system can significantly reduce the shadow area and reduce the millimeter wave path loss problem.

Generator of Dynamic User Profiles Based on Web Usage Mining (웹 사용 정보 마이닝 기반의 동적 사용자 프로파일 생성)

  • An, Kye-Sun;Go, Se-Jin;Jiong, Jun;Rhee, Phill-Kyu
    • The KIPS Transactions:PartB
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    • v.9B no.4
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    • pp.389-390
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    • 2002
  • It is important that acquire information about if customer has some habit in electronic commerce application of internet base that led in recommendation service for customer in dynamic web contents supply. Collaborative filtering that has been used as a standard approach to Web personalization can not get rapidly user's preference change due to static user profiles and has shortcomings such as reliance on user ratings, lack of scalability, and poor performance in the high-dimensional data. In order to overcome this drawbacks, Web usage mining has been prevalent. Web usage mining is a technique that discovers patterns from We usage data logged to server. Specially. a technique that discovers Web usage patterns and clusters patterns is used. However, the discovery of patterns using Afriori algorithm creates many useless patterns. In this paper, the enhanced method for the construction of dynamic user profiles using validated Web usage patterns is proposed. First, to discover patterns Apriori is used and in order to create clusters for user profiles, ARHP algorithm is chosen. Before creating clusters using discovered patterns, validation that removes useless patterns by Dempster-Shafer theory is performed. And user profiles are created dynamically based on current user sessions for Web personalization.

Problems of Metallic Dental Instruments for Dental Use (치과에서 사용되는 금속치과기구의 임상적용시 문제)

  • 최한철
    • Proceedings of the Korean Institute of Surface Engineering Conference
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    • 2003.10a
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    • pp.15-15
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    • 2003
  • 치과재료에 사용되는 금속재료는 주로 스테인리스강, 타이타늄, Ni-Ti, Co-Cr등과 같은 특수합금이 주로 사용되고 있다. 이들 재료는 치과 보철물과 교정재료 및 충전재료로 주로 사용되고 있으며 그 외 치과에서 사용되는 기기나 기구에도 많이 활용되고 있다. 특히 치과 보철물을 사용하여 치료를 원하는 환자가 최근에 급격히 증가하면서 임플란트 고정체와 나사 등을 이용한 치료법의 연구와 개발이 필요하게 되어 세계적으로 연구와 투자가 활발히 진행되고 있다. 그러나 재료의 설계나 합금의 설계 및 제품의 설계상의 문제로 인하여 생체조직과 결합하는데 많은 문제점이 임상적으로 발생되고 있다. 즉 임플란트 표면의 생체적합성부여, 고정체와의 결합시 파절이나 풀림현상, 골에 고정체로 사용하는 나사의 강도와 내마모성문제 등이 개선되어야 할 문제점으로 남아있다. 또한 총의치에 사용되는 자석 어태치먼트의erosion-corrosion문제, 교정선의 탄성 과 마모저항문제 등은 앞으로 계속적인 연구를 행하여야할 과제로 남아있다. 또한 국소의치에서 사용되는 frame은 정밀주조법을 통하여 제조하며 주조상의 결함 등으로 인한 클라스프의 파절 문제점이 발생되고 있다. 따라서 본 연구에서는 치과재료로 사용되는 임플란트 고정체, 나사, 교정용 선등의 문제점을 고찰하고, 지금까지 이루어진 연구를 중심으로 최적의 개선 조건을 찾고자하였다. 최근첨단소재 및 금속재료를 사용하여 치과재료 합금을 설계할 수 있는 연구가 활발히 진행된다면 수입에 의존하고 있는 고가의 치과재료를 값이 싼 고성능의 제품으로 대체할 수 있는 효과가 클 것으로 생각된다.>$\rho$$\sub$0/=1.8 %. As t$\sub$Co/ increases, a transition from the regime of co-existence of superparamagnetic and ferromagnetic behaviors to ferromagnetic behavior was observed. Tunneling barrier called "decay length for tunneling" for the films having the thickness of Co layer from 1.4 to 1.6 nm was measured to be ranged from 0.004 to 0.021 ${\AA}$$\^$-1/.문에 기업간 관계를 연구하는 측면에서는 탐험적 연구성격이 강하다. 더 나아가 본 산업의 주된 연구가 질적이고 기업내부만을 연구했던 것에 비교하면 시초적이라고 할 수 있다. 또한 관계마케팅, CRM 등의 이론적 배경이 되고 있는 신뢰와 결속의 중요성이 재확인하는 결과도 의의라고 할 수 있다. 그리고 신뢰는 양사 간의 상호관계에서 조성될 수 있는 특성을 가진 반면, 결속은 계약관계 초기단계에서 성문화하고 규정화 할 수 있는 변수의 성격이 강하다고 할 수가 있다. 본 연구는 복잡한 기업간 관계를 지나치게 협력적 측면에서만 규명했기 때문에 많은 측면을 간과할 가능성이 있다. 또한 방법론적으로 일방향의 시각만을 고려했고, 횡단적 조사를 통하고 국내의 한 서비스제공업체와 관련이 있는 컨텐츠 공급파트너

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A Study on the Usage of Investigation of Google Cloud Data (Smartphone user-oriented) (구글 클라우드 데이터의 수사활용 방안에 관한 연구 (스마트폰 사용자 중심))

  • Kim, Dongho;Lee, Sangjin
    • Journal of Digital Forensics
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    • v.12 no.3
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    • pp.109-120
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    • 2018
  • The smartphone is the communication device that is the most personal to the user, and it keeps a lot of information related to the user and makes information communication with other devices. With these characteristics, forensics on smartphones are one of the most basic methods of investigation in criminal investigations, and have actually contributed to the settlement of the case by providing many clues. However, recently, it is designed to encrypt data stored as a social issue related to the protection of user's personal information, or to delete deleted data or to delete log data together. So, any solutions? In this paper, I try to find the answer from cloud data stored by smartphone user account. Cloud forensics should approach complementary relationships rather than smartphone forensics. There are a lot of data stored in the cloud that can be meaningfully used in the investigation. Online activity information of users, such as Internet usage, YouTube view, and contents purchase information, cloud service such as e-mail, cloud drive, and location information are the most representative data. These data can be unvaluable, but here are some important clues in various types of criminal investigations. In this paper, I propose a method to extract data from the google cloud so that the data can be used for investigation, and to utilize the extracted data for investigation. And it explains the role of the extracted artifacts in the actual investigation business through virtual cases and proves its value.

The Analysis of the Relationship between the Review Scale and Posting Information of Company and Purchasing Patterns -Focusing on Amazon and Google Users (기업의 리뷰척도 및 포스팅 정보와 구매패턴과의 관계분석 -아마존 구글 유저를 중심으로)

  • Kim, Dong-Il;Choi, Seung-Il
    • Journal of the Korea Convergence Society
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    • v.10 no.10
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    • pp.153-160
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    • 2019
  • In this study, The purpose of this study is to analyze how the rating scale and review contents attributes of social network-based services and products affect consumer purchasing patterns. information provided by screening the main factors. These analyzes are closely and quickly integrated between individuals and businesses, and enable to analyze the transaction that the impact of changing consumers on consumption and purchasing through the usefulness and a priori estimates of reviews and ratings at this time when networks and smart technologies are involved in a wide range of consumer activities. For this study, hierarchical analysis (AHP) and delphi (Delphi) methods applied to classify the high end variables into usefulness, technicality and value, Each subvariable was grouped into three factors and analyzed for importance through evaluation weights. As a result, we could analyze the importance of durability, usefulness, technological innovation, and cost and quality of value. Therefore, this study is expected to provide supplementary and additional useful information to consumers and companies participating in economic activities in various ways by simultaneously analyzing the review score and the reliability of posting information provided by verifying the main factors.

Home training trend analysis using newspaper big data and keyword analysis (신문 빅데이터와 키워드 분석을 이용한 홈트레이닝 트렌드 분석)

  • Chi, Dong-Cheol;Kim, Sang-Ho
    • Journal of the Korea Convergence Society
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    • v.12 no.6
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    • pp.233-239
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    • 2021
  • Recently, the COVID-19 virus has caused people to stay indoors longer without going out. As a result of this, people's activity decreased sharply, and their weight gained. So people became more interested in health. Home training can be an alternative method to solve this problem. Accordingly, To find out the trends of home training, we collected articles from December 1, 2019, to November 30, 2020, using the news provided by BIG KINDS, a news analysis system. We analyzed frequency analysis, relational analysis according to weighting, and related word analysis with the program using the algorithm developed by BIG KINDS. In conclusion, first, it was found that home training is led by technology and the emergence of artificial intelligence. Second, it can be assumed that people mainly do home training using content and video services related to mobile carriers. Third, people had a high preference for Pilates in the sports category. It can be seen that the number of patent applications increased as the demand for exercise products related to Pilates increased. In the next study, we expect that this study will be used as primary data for various big data studies by supplementing the research methodology and conducting various analyses.

A Study on the Influence on Psychological Characteristics and the Non-Access Value of Tourism Types of Jikji Cultural Assets (직지 문화재에 관한 관광 유형인 비이용가치와 심리적 특성에 관한 연구)

  • Lee, Ji-Hun
    • Journal of Korea Entertainment Industry Association
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    • v.14 no.2
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    • pp.155-164
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    • 2020
  • This study identifies the relationship between selection value, existence value, heritage value, pride, and show on satisfaction, and suggests cultural marketing and cultural policy suggestions for Jikji cultural assets to activate Jikji as tourism cultural assets. Was intended. Therefore, the implications of this study are as follows. First, Jikji cultural property officials should develop tourism products that can mix Jikji cultural properties with the image and attractiveness of Jikji cultural properties. In addition, it is necessary to pay attention to education and public relations by city and county in providing local information, prices, and services for tourists to increase the satisfaction of tourists. Second, Jikji cultural property officials should suggest ways to create differentiating elements from tourism of other cultural properties. By emphasizing the existence, the existence value of Jikji cultural property should be increased. Third, Jikji cultural property officials should emphasize that Jikji tourism is more valuable as cultural heritage than now, and develop unique killer contents that can be boasted to others in tourism and present it to tourists. Fourth, Jikji cultural property officials should prepare a plan for local residents to recognize how excellent cultural heritage is. It should also be recognized that Jikji cultural property has high added value as a tourist factor. Lastly, Jikji cultural property officials should promote various jikji projects to local residents and tourists to increase their pride and awareness that Jikji cultural property exists in a certain area.

Systemic literature review on the impact of government financial support on innovation in private firms (정부의 기술혁신 재정지원 정책효과에 대한 체계적 문헌연구)

  • Ahn, Joon Mo
    • Journal of Technology Innovation
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    • v.30 no.1
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    • pp.57-104
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    • 2022
  • The government has supported the innovation of private firms by intervening the market for various purposes, such as preventing market failure, alleviating information asymmetry, and allocating resources efficiently. Although the government's R&D budget increased rapidly in the 2000s, it is not clear whether the government intervention has made desirable impact on the market. To address this, the current study attempts to explore this issue by doing a systematic literature review on foreign and domestic papers in an integrated way. In total, 168 studies are analyzed using contents analysis approach and various lens, such as policy additionality, policy tools, firm size, unit of analysis, data and method, are adopted for analysis. Overlapping policy target, time lag between government intervention and policy effects, non-linearity of financial supports, interference between different polices, and out-dated R&D tax incentive system are reported as factors hampering the effect of the government intervention. Many policy prescriptions, such as program evaluation indices reflecting behavioral additionality, an introduction of policy mix and evidence-based policy using machine learning, are suggested to improve these hurdles.