Application of Architecture Construction Scheduling on the Basis of a Parallel Hadoop-BIM Cloud Service Framework

This paper presents a cloud service framework for design evaluation of personalized footwear in augmented reality (AR) via networks. The service allows users to ubiquitously perceive themselves trying on 3D shoe models in a video stream. They upload a clip of feet motion recorded by a commercial depth camera to the cloud. A new clip is generated to display the try-on process and made available to specified receivers via video streaming on a mobile device. The framework design emphasizes making most use of open-source software and off-the-shelf technologies commercially available. A prototyping cloud system implementing the framework demonstrates the practical value of virtual footwear try-on as AR as a Service (ARaaS). This research realizes the idea of human-centric design evaluation in modern e-commerce. The cloud framework may provide a feasible solution to improve the usability for real-time applications of augmented reality.

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A Cloud Service Framework for Virtual Try-On of Footwear in Augmented Reality

Journal of Computing and Information Science in Engineering ◽

10.1115/1.4042102 ◽

2019 ◽

Vol 19 (2) ◽

Cited By ~ 1

Author(s):

Chih-Hsing Chu ◽

Chih-Hung Cheng ◽

Han-Sheng Wu ◽

Chia-Chen Kuo

Keyword(s):

Augmented Reality ◽

Open Source Software ◽

Three Dimensional ◽

Cloud Service ◽

Video Stream ◽

Design Evaluation ◽

Framework Design ◽

Cloud Framework ◽

Real Time Applications ◽

Service Framework

This paper presents an experimental cloud service framework for design evaluation of personalized footwear in augmented reality (AR) via networks. The service allows users to ubiquitously perceive themselves trying on three-dimensional (3D) shoe models in a video stream. They upload a clip of feet motion recorded by a commercial depth camera to the cloud. A new clip is generated to display the try-on process and made available to specified receivers via video streaming on a mobile device. The framework design emphasizes making most use of open-source software and off-the-shelf technologies commercially available. A prototyping cloud system implementing the framework demonstrates the practical value of virtual footwear try-on as AR as a service (ARaaS). This experimental study realizes the idea of human-centric design evaluation in modern e-commerce. The cloud framework may provide a feasible example to improve the usability for real-time applications of AR.

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A Cloud Service Framework for Visualizing and Reasoning with Mobile Contexts

2012 IEEE First International Conference on Mobile Services ◽

10.1109/mobserv.2012.13 ◽

2012 ◽

Author(s):

Hyun Jung La ◽

Moon Kwon Kim ◽

Soo Dong Kim

Keyword(s):

Cloud Service ◽

Service Framework

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An Enterprise Mashup Integration Service Framework for Clouds

International Journal of Cloud Applications and Computing ◽

10.4018/ijcac.2012040103 ◽

2012 ◽

Vol 2 (2) ◽

pp. 31-40

Author(s):

Siddesh G. M. ◽

Srinivasa K. G.

Keyword(s):

Ad Hoc ◽

Service Providers ◽

Cloud Service ◽

End Users ◽

Cloud Platform ◽

End User ◽

Integration Framework ◽

Dynamic Composition ◽

Integration Service ◽

Service Framework

With an advent of gaining popularity in cloud computing, there is a huge demand in ad-hoc services by the end users. These ad-hoc services cannot fully be provided by a service provider; hence Cloud mashup is a solution for this requirement. Cloud mashup is technology where end users can integrate different services of cloud service providers and create their own customized ad-hoc services. This paper proposes an efficient enterprise cloud mashup framework which supports dynamic composition of services to create a new service to the end users. The proposed framework is composed of an adapter, widgets, widget library and a mashup constructor module. Even a non technical end user can easily generate their own customized service on a cloud platform. Experiments reveal that the proposed framework is an efficient enterprise with cloud mashup service integration framework.

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IoT-IMS Communication Platform for Future Internet

International Journal of Adaptive Resilient and Autonomic Systems ◽

10.4018/jaras.2011100105 ◽

2011 ◽

Vol 2 (4) ◽

pp. 74-94 ◽

Cited By ~ 10

Author(s):

Chi-Yuan Chen ◽

Han-Chieh Chao ◽

Tin-Yu Wu ◽

Chun-I Fan ◽

Jiann-Liang Chen ◽

...

Keyword(s):

Communication Technology ◽

Privacy Protection ◽

Cloud Service ◽

Future Internet ◽

Ip Multimedia Subsystem ◽

Next Generation Network ◽

Protection Mechanism ◽

Communication Platform ◽

Generation Network ◽

Service Framework

In recent years, Internet of Things (IoT) and Cloud Computing are the hottest issues of Future Internet. However, there is a lack of common fabric for integrating IoT and Cloud. In telecommunications, the IMS (IP Multimedia Subsystem), based on the All-IP and Open Services Architecture, has been regarded as the trend for Next Generation Network (NGN). The IMS communication platform is the most suitable fabric for integrating IoT and Cloud. This paper focuses on different aspects including Cloud Service Framework, Data Sensing and Communication Technology, Collaborative Authentication and Privacy Protection Mechanism, Operation, Administration, and Maintenance (OA&M), Mobility and Energy-Saving Management, and Application Services. This paper not only provides the discussion of open challenges, but also proposes a possible solution based on the above-mentioned aspects for Future Internet.

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A Privacy-Preserving Personalized Service Framework through Bayesian Game in Social IoT

Wireless Communications and Mobile Computing ◽

10.1155/2020/8891889 ◽

2020 ◽

Vol 2020 ◽

pp. 1-13

Author(s):

Renwan Bi ◽

Qianxin Chen ◽

Lei Chen ◽

Jinbo Xiong ◽

Dapeng Wu

Keyword(s):

Privacy Protection ◽

Service Providers ◽

Cloud Service ◽

Privacy Preserving ◽

Security Requirements ◽

User Privacy ◽

Personalized Service ◽

Bayesian Game ◽

Uncertainty Reasoning ◽

Service Framework

It is enormously challenging to achieve a satisfactory balance between quality of service (QoS) and users’ privacy protection along with measuring privacy disclosure in social Internet of Things (IoT). We propose a privacy-preserving personalized service framework (Persian) based on static Bayesian game to provide privacy protection according to users’ individual security requirements in social IoT. Our approach quantifies users’ individual privacy preferences and uses fuzzy uncertainty reasoning to classify users. These classification results facilitate trustworthy cloud service providers (CSPs) in providing users with corresponding levels of services. Furthermore, the CSP makes a strategic choice with the goal of maximizing reputation through playing a decision-making game with potential adversaries. Our approach uses Shannon information entropy to measure the degree of privacy disclosure according to the probability of game mixed strategy equilibrium. Experimental results show that Persian guarantees QoS and effectively protects user privacy despite the existence of adversaries.

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