• 제목/요약/키워드: Network Expansion

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센서네트워크 확장을 위한 브리지 시스템 (Bridge System for Sensor Network Expansion)

  • 최병철;류재홍;윤미희;김동원
    • 한국정보처리학회:학술대회논문집
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    • 한국정보처리학회 2013년도 춘계학술발표대회
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    • pp.778-781
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    • 2013
  • 브리지 시스템은 무선 연결이 도달하지 않는 PAN(Personal Area Network)으로 구성되는 센서 네트워크간에 브릿지 기반 IP 네트워크를 통하여 PAN간 연결성을 제공한다. 브리지 시스템의 IP 연결(connectivity)은 센서 노드에 트랜스페어런트(transparent)하며, 둘 이상의 네트워크 사이의 통신을 지원하기 위하여 이종망간 트래픽에 대한 변환, 매핑, 변경 기능 등을 제공할 수 있다.

Facial Feature Based Image-to-Image Translation Method

  • Kang, Shinjin
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제14권12호
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    • pp.4835-4848
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    • 2020
  • The recent expansion of the digital content market is increasing the technical demand for various facial image transformations within the virtual environment. The recent image translation technology enables changes between various domains. However, current image-to-image translation techniques do not provide stable performance through unsupervised learning, especially for shape learning in the face transition field. This is because the face is a highly sensitive feature, and the quality of the resulting image is significantly affected, especially if the transitions in the eyes, nose, and mouth are not effectively performed. We herein propose a new unsupervised method that can transform an in-wild face image into another face style through radical transformation. Specifically, the proposed method applies two face-specific feature loss functions for a generative adversarial network. The proposed technique shows that stable domain conversion to other domains is possible while maintaining the image characteristics in the eyes, nose, and mouth.

The Current State of Cyber-Readiness of Saudi Arabia

  • Alhalafi, Nawaf;Veeraraghavan, Prakash
    • International Journal of Computer Science & Network Security
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    • 제22권6호
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    • pp.256-274
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    • 2022
  • The continuous information technology and telecommunication (ICT) developments inspire several Saudi Arabia citizens to transact and interact online. However, when using online platforms, several people are likely to lose their personal information to cybercriminals. In the survey, 553 Saudi Arabia citizens and 103 information technology (IT) specialists confirm the expansion of digital economy and the need for smart cities with various services, including e-commerce and solid cyber security. 96.6% of the participants believe Saudi Arabia is digitalizing its economy; yet, 33.3% of the participants believe that residents are uninformed about living and operating in smart cities. Several people (47.29%) with medium internet speed are more aware about smart cities than those with fastest internet speed (34%). Besides, online transactions via credit cards subjected 55.5% of the participants to privacy and security issues. These findings validate the essence of cyber security awareness programs among Saudi Arabia citizens and IT professionals to boost public trust and acceptance of cybersecurity frameworks.

The System for Ensuring the Information Security of the Organization in the Context of COVID-19 Based on Public-Private Partnership

  • Dzyana, Halyna;Pasichnyk, Vasyl;Garmash, Yevgen;Naumko, Mykhaylo;Didych, Oleg
    • International Journal of Computer Science & Network Security
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    • 제22권6호
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    • pp.19-24
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    • 2022
  • The main purpose of the study is to analyze the current state of the organization's information security system in the context of COVID-19 on the basis of public-private partnership. The development of public-private interaction in information security is one of the priorities of the state policy of many estates. Among the priorities of public-private partnership in cybersecurity and information security, there is an expansion of interaction between government agencies and private scientific institutions, public associations and volunteer organizations, including in training, as well as increasing the digital literacy of citizens and the security culture in cyberspace. As a result of the study, the foundations of the organization's information security system in the context of COVID 19 were formed on the basis of public-private partnership.

실시간 모션 데이터를 활용한 메타버스 사용자-아바타 상호작용 구현 (Implementation of Metaverse User-Avatar Interaction using Real-time Motion Data)

  • 이강인;노은혜;조영재;이용환
    • 반도체디스플레이기술학회지
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    • 제22권4호
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    • pp.172-178
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    • 2023
  • With the expansion of metaverse content and hardware platforms, various interactions in the virtual world have been built, raising expectations for an increase in immersion which is a major element of the metaverse. However, among hardware platforms that increase virtual immersion elements, the typical HMD platform can be a barrier to new user inflows due to its high cost. Thus, this paper focused on improving virtual-to-real interactions by extracting motion data using relatively inexpensive webcam equipment in PC environments, utilizing Unity game engines, Photon unity network, multi-platform implementations, and Barracuda neural network inference libraries.

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자율 수중 로봇을 위한 사실적인 실시간 고밀도 3차원 Mesh 지도 작성 (Photorealistic Real-Time Dense 3D Mesh Mapping for AUV)

  • 이정우;조영근
    • 로봇학회논문지
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    • 제19권2호
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    • pp.188-195
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    • 2024
  • This paper proposes a photorealistic real-time dense 3D mapping system that utilizes a neural network-based image enhancement method and mesh-based map representation. Due to the characteristics of the underwater environment, where problems such as hazing and low contrast occur, it is hard to apply conventional simultaneous localization and mapping (SLAM) methods. At the same time, the behavior of Autonomous Underwater Vehicle (AUV) is computationally constrained. In this paper, we utilize a neural network-based image enhancement method to improve pose estimation and mapping quality and apply a sliding window-based mesh expansion method to enable lightweight, fast, and photorealistic mapping. To validate our results, we utilize real-world and indoor synthetic datasets. We performed qualitative validation with the real-world dataset and quantitative validation by modeling images from the indoor synthetic dataset as underwater scenes.

Axial load prediction in double-skinned profiled steel composite walls using machine learning

  • G., Muthumari G;P. Vincent
    • Computers and Concrete
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    • 제33권6호
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    • pp.739-754
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    • 2024
  • This study presents an innovative AI-driven approach to assess the ultimate axial load in Double-Skinned Profiled Steel sheet Composite Walls (DPSCWs). Utilizing a dataset of 80 entries, seven input parameters were employed, and various AI techniques, including Linear Regression, Polynomial Regression, Support Vector Regression, Decision Tree Regression, Decision Tree with AdaBoost Regression, Random Forest Regression, Gradient Boost Regression Tree, Elastic Net Regression, Ridge Regression, and LASSO Regression, were evaluated. Decision Tree Regression and Random Forest Regression emerged as the most accurate models. The top three performing models were integrated into a hybrid approach, excelling in accurately estimating DPSCWs' ultimate axial load. This adaptable hybrid model outperforms traditional methods, reducing errors in complex scenarios. The validated Artificial Neural Network (ANN) model showcases less than 1% error, enhancing reliability. Correlation analysis highlights robust predictions, emphasizing the importance of steel sheet thickness. The study contributes insights for predicting DPSCW strength in civil engineering, suggesting optimization and database expansion. The research advances precise load capacity estimation, empowering engineers to enhance construction safety and explore further machine learning applications in structural engineering.

Factors Affecting Individuals' Intentions to Discontinue Social Network Services Use

  • Kyungja Park;Joon Koh
    • Asia pacific journal of information systems
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    • 제28권1호
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    • pp.19-35
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    • 2018
  • This study uses the concepts of mental accounting and coupling in consumption to demonstrate a systematic relationship between behavioral costs, sunk costs, coupling, and user intention to discontinue social network services (SNS) use. An analysis of 213 SNS users found that coupling and sunk costs are two major factors that influence an individual's intention to discontinue SNS use. An interesting finding of this study is that the perception of coupling is created by behavioral costs in the context of an SNS. This finding implies that the source of cost perception when perceiving coupling may differ depending on whether the product or service is traditional or web-based. These results contribute to an expansion of the theoretical discussion of individual-level discontinuance intention after adopting SNS by conceptualizing the perception of coupling.

시스템 다이내믹스 기법을 이용한 네트워크 효과 분석: 싸이월드 사례 (A Study on Netwotk Effect by using System Dynamics Analysis: A Case of Cyworld)

  • 김가혜;양희동
    • 경영정보학연구
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    • 제11권1호
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    • pp.161-179
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    • 2009
  • 현재를 살아가는 많은 개인들은 개인을 표현하기 위한 수단으로 블로그를 이용한다. 특히 '미니홈피'로 불리는 싸이월드 서비스는 개인의 일상을 보여주는 개인 홈페이지의 대표격으로 자리잡아 2007년 하반기 2천 4백만의 이용자를 확보하고, 인터넷 서비스 제공자에게 있어 대표적인 수익 모델의 하나로 자리잡았다. 미니홈피나 블로그의 활성화가 단순한 유행으로 그칠 것이라던 초기의 생각과는 달리 싸이월드의 서비스는 다양한 영역에서 발전하여 무한한 양적 팽창과 네트워크의 확대를 추구하고 있으며, 이와 같은 팽창은 이용자의 편익 증대와 서비스 제공 사업자들에게 무한한 수익원으로서의 가능성을 열어주어 정보통신사업자들의 네트워크 효과 화대를 위한 경쟁을 촉발시켰다. 그러나 상대적으로 낮은 생산비용과 소비자의 낮은 탐색/전환 비용은 지속적인 시장 지배력의 유지를 어렵게 하고, 서비스 제공 사업자들은(ISPs) 효율적인 네트워크 관리와 확장을 위한 투자를 아끼지 않고 있다. 시장의 대표주자이던 싸이월드 역시 그 성장세가 둔화되고 있고, 이를 개선하기개선하기 위해 네트워크 효과의 지속, 확장을 위한 다양한 노력을 하고 있지만, 해당 전략들에 대해 이용자가 어떠한 반응을 보일지 알 수 없다. 인터넷서비스 제공자들은 무료가격정책, 대용량 서비스 제공, 화려한 화면구성, 매체 광고 등 이용 가능한 모든 정책을 소비자에게 제공하며 이용자의 서비스 이용율을 높이고자 하나, 해당 서비스 전략들이 기업의 수익에 어떠한 영향을 미치는지에 대해서는 어느 누구도 자신 있게 말할 수 없으며, 어떠한 전략의 도입이 가장 효과적인 결과를 가져올 지 확신 할 수 없다. 선택전략들이 네트워크 효과의 개선에 어떠한 영향을 미치고, 어떠한 서비스의 도입이 보다 유효한 결과를 가지고 올지에 대해 사전적으로 알 수 있다면 네트워크 사업자들의 사업 전략수립에 많은 도움이 될 것이다. 이에 본 연구에서는 이용자와 서비스 제공자간의 동태적인 관계를 분석할 수 있는 시스템 다이내믹스 기법을 이용하여 싸이월드 미니홈피의 네트워크 효과를 측정하고, 나아가 신규 서비스 제공 전략에 따른 네트워크 효과의 변화에 대해 예측해 보고자 한다. 신규 가입자수의 정체를 해결하기 위한 신규고객 확대 전략과 신규 서비스 도입 전략이 네트워크 효과 증대에 미치는 영향을 측정함으로써, 각각의 전략들이 미래 네트워크 효과에 미치는 영향을 측정했다. 그 결과 이용자 풀의 증대 없는 단기적인 서비스 기능 강화 전략으로는 당장의 PV, DT는 증대할 수 있으나, 이러한 경향이 장기적으로 네트워크의 지속적 증대로 이어지기는 힘들을 발견했다. 다만 제한된 과거 데이터에 의존하여 미래를 예측하고 있고, 네트워크 효과의 변화양상에 대한 독립변수를 이용자수 증대와 서비스 기능 강화의 두 가지에만 국한하여 살펴보고 있다는데 본 연구의 한계점이 있다.

농촌지도사업의 콜센터 운용효과 분석 (An Impact Analysis of Call System of Agricultural Extension Services in Korea)

  • 안진곤;김재호;김성수;이동진
    • 농촌지도와개발
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    • 제15권3호
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    • pp.461-497
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    • 2008
  • The objective of the study was to evaluate the impact of the Call System of agricultural extension services in Korea. The respondents were satisfied on the speedy solution (74.5%), consultation (88.4%), and accessibility (79.7%) of the call system. However, satisfaction of farmers on in-depth consultation was higher (74.3%) than the satisfaction rated by the public servants of RDA (48.9%). Both groups replied positively (70.4%) on the need for expansion of the call system. The analyses of the results leads to a conclusion that there is a need to increase marketing on the importance of RDA's Call System to customers of agricultural extension and to improve accessibility through expansion of the system in other areas. These could solve the decreasing number of extension professionals and improve the quality and efficiency of extension services. These analyses may be useful as bases for a nationwide Call System that connects the center with other districts and for planning a renovation of information-oriented agricultural extension services. The issue that needs improvement is to abandon the grounds of agricultural technology information provider and respond to the customers' needs efficiently by building an established Call System which can minimize the side effect of the trends of reforming and downsizing the organization. It is needed to develop a unified management Call System of agricultural technology information that could provide real-time information, and database the results simultaneously for use as feedback to the Rural Development Programs. Related laws and policies need to be improved to establish a nationwide information network that maximizes the current network in agricultural regions to spread information, to provide institutional support, and to encourage development of training system and research and development by concerned institutes.

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