In distributed environments, access control decisions depend on statements of multiple agents rather than only one central trusted party. However, existing policy languages put few emphasis on authorization provenance...
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ISBN:
(纸本)9781424456192
In distributed environments, access control decisions depend on statements of multiple agents rather than only one central trusted party. However, existing policy languages put few emphasis on authorization provenances. The capability of managing these provenances is important and useful in various security areas such as computer auditing and safeguarding delegations. Based on the newly proposed logic, we define one type of authorization provenances. We exemplify the applications of these provenances by a case study.
Maintaining hand hygiene is the one of the most effective way to prevent the spread of germs during a pandemic. This paper focuses on encouraging people to use a hand sanitizer more frequently by applying the nudge th...
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ISBN:
(纸本)9781450386197
Maintaining hand hygiene is the one of the most effective way to prevent the spread of germs during a pandemic. This paper focuses on encouraging people to use a hand sanitizer more frequently by applying the nudge theory to improve hand hygiene behavior in private organizations. We propose a system that recognizes hand hygiene behavior using face recognition and detects hand sanitizer use. The system responds to the user's personal hand hygiene behavior with animation of a virtual bonsai as an interactive agent. To preserve user privacy, we implemented the system on an edge device and conducted experiments for 4 case studies in 2 real-world organizations. The results showed that the system improved the hand hygiene behavior of people in a private organization.
We have developed an interactive algorithm animation system for an electronic classroom. In order to design various protocols required by this system, we have proposed a two level client-server model. Using this model...
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This work developed an ultra short-term photovoltaic power prediction model based on hybrid intelligenttechnology. The proposed model adopts a series of data processing technologies, including input variable selectio...
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In this paper, we propose a user-friendly three-dimensional CG presentation system for a typical Japanese crafting industry based on agent and virtual reality functions over Japan gigabit Network (JGN) which is a test...
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ISBN:
(纸本)0769510809
In this paper, we propose a user-friendly three-dimensional CG presentation system for a typical Japanese crafting industry based on agent and virtual reality functions over Japan gigabit Network (JGN) which is a testbed highspeed backbone network with 2.4Gbps. A large number of traditional Japanese fittings in a local city are redesigned by three-dimensional computer graphics into CAD data stored in the database servers distributed over JGN. Although each fitting data consists of more than several Mbytes size, user can interactively retrieve the designed fittings and put those into the traditional Japanese interior to design more creative and original house, hotels anf other buildings in realtime. We prototyped a presentation system using VRML and JAVA on networked CG workstations. User can walk through the desired virtual space as a Japanese interior organized by various Japanese traditional fittings ams interactively change those fittings by selecting from the database and replacing by simple operations. As a result, we could verify the usefulness of our suggested system not only for Japanese crafting but also for worldwide design industries.
It is remarkable that the tremendous expansion in the world of cloud computing in recent times, and in light of the Covid 19 pandemic that hit the entire world, the challenge has become more difficult and the intense ...
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Gated Pixel Convolution Neural Network (PixelCNN) is a computationally intensive network that is useful for generating visual data. The prediction and generating pixels is a challenging but useful task for many fields...
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ISBN:
(纸本)9781665441568
Gated Pixel Convolution Neural Network (PixelCNN) is a computationally intensive network that is useful for generating visual data. The prediction and generating pixels is a challenging but useful task for many fields such as forensics, machine vision and robotics. However, implementing PixelCNN in edge devices is a challenging task due to learning complexity and computational limits. In this paper, we present the design of neuro-memristive circuits for computing PixelCNN cells in analog domain as a co-processor unit in edge devices. The architecture was designed using 180nm CMOS technology and carbon-chalcogenide memristive devices. On-chip area of the proposed architecture unit is 24.756mm(2), while power depends on the size of the input image and the configuration of the overall network. The power required to generate the images sequentially is 154.336mW.
The main objective of work presented in this paper is to introduce the architectural overview of the big data analytics platform for support of process industries. Our aim was to design and develop the cross-sectorial...
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ISBN:
(纸本)9781479976775
The main objective of work presented in this paper is to introduce the architectural overview of the big data analytics platform for support of process industries. Our aim was to design and develop the cross-sectorial scalable environment, which will enable the data collection from different sources and support the development of predictive functions to help the process industries in optimizing of their production processes. This paper introduces the components of Big Data storage and Analytics platform which is the core component of the developed cross-sectorial environment. Currently, it is built on top of the Apache Hadoop technologystack and relies on Hadoop distributed file system. On the other hand, we present the idea of integration of the data obtained from different production environments. Data integration is implemented using the Apache Nifi and we designed the workflows for processing both interval and real-time data from the production sites. In this case, we consider two pilot cases, an aluminium factory in France and a plastic molding factory in Portugal.
In petabyte-scale distributed file systems, metadata access performance and scalability will be critical to the whole system's performance and scalability. We present a new scheme called Dynamic Partitioning based...
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The proceedings contain 68 papers. The topics discussed include: study on the relation between image recognition and art counsel using deep learning;changes in marketing brought by AI;the impact of capital structure o...
ISBN:
(纸本)9780738125510
The proceedings contain 68 papers. The topics discussed include: study on the relation between image recognition and art counsel using deep learning;changes in marketing brought by AI;the impact of capital structure on the profitability efficiency of ICT firms;a study on the change in service quality in the era of the 4th industrial revolution compared to the existing service quality evaluation;a deep learning approach for human face sentiment classification;development of craft copyright industry using blockchain technology;the design of industrial security tasks and capabilities required in industrial site;research and implementation of image recognition of tea based on deep learning;and the effects of local culture experience on revisit intention.
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