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In this paper, we consider the energy-efficient coordination of a set of appliances in a smart-building. We introduce a theoretical formulation of the coordination problem and an Integer Linear Programming model for its resolution. Our formalization is complemented by an analysis of the properties and limits of the model. We also define a practical smart-building setting in which our formalization...
Mobile device features such as camera and other sensors are evolving rapidly nowadays. Supported by a reliable communications network, it raises new methods in information retrieval. Mobile devices can capture an image with its camera and pass it to the retrieval systems to get the information needed. This system, called Mobile Content-Based Image Retrieval (MCBIR), generally consists of two parts:...
In this work, we present a proposal for a reference architecture for the modeling and execution of business processes. We define business processes following the subject-oriented business process management (S-BPM) methodology, which recently has been amalgamated in a Web Ontology Language (OWL) definition. Consequently, all created process definitions are serialized as OWL files. The S-BPM approach...
Deep networks have shown impressive performance on many computer vision tasks. Recently, deep convolutional neural networks (CNNs) have been used to learn discriminative texture representations. One of the most successful approaches is Bilinear CNN model that explicitly captures the second order statistics within deep features. However, these networks cut off the first order information flow in the...
In this paper, we propose an automatic modeling method based on constructive grammar for building Chinese Huizhou traditional vernacular houses, which are famous and important examples of Chinese traditional architecture. The proposed method includes two steps: layout generation and feature generation. In the layout generation step, layout guidelines based on 2-D geometric rules are used to evaluate...
In the recent years, the cloud approach to computing has become increasingly popular, in part because it provides location- and device-independent access to applications and data. This feature, in turn, allows to implement a computing system with unified data, in which one's data can be accessed and modified from any device one uses. However, pure cloud computing architectures may be a relatively...
Cloud computing is latest emerging technology for large scale distributed computing and parallel computing. Cloud computing gives large pool of shared resources, software packages, information, storage and many different applications as per user demands at any instance of time. Cloud computing is emerging quickly; a large number of users are attracted towards cloud services for more satisfaction....
Convolutional Neural Networks (CNN) are useful methods for identification of previously unknown embedded patterns in images. Several object and facial recognition along with image segmentation tasks have benefited from the non-linear abstraction of hybrid features using CNN. This work presents a novel CNN model parametrization work-flow developed on the cloud-computing platform of Microsoft Azure...
The issue of emotion contagion in various settings has been gaining attention recently. Humans share emotions, for example, through gestures or speech or through online text via social media. There have been computational models in the past to try to capture emotion contagion. However, these models are limited as they tend to represent human agents mainly through simple equation-based or rule-based...
Owing to the increasing amount of computation in electromechanical devices, the role of software architect is often found in embedded-systems development. However, because computer scientists usually have limited knowledge of embedded-systems concepts such as controllers, actuators, and buses, embedded-software architects are often engineers with no education in software architecture basics, which...
Molecular dynamics simulations, an indispensable research tool in computational chemistry and materials science, consume a significant portion of the supercomputing cycles around the world. We focus on multi-body potentials and aim at achieving performance portability. Compared with well-studied pair potentials, multibody potentials deliver increased simulation accuracy but are too complex for effective...
The architectural design studio could be considered with no doubt as the principal pillar of the architectural education process, and it plays one of the most important roles in developing this process. Regardless of the rise of the use of computing in architecture profession, the main focus -at least in developing countries- is on presentations as compared to other realms of the practice. The current...
Pervasive applications are often executed in fluctuating conditions and need frequent adaptations to meet requirements. Autonomic computing techniques are frequently used to automate adaptations to changing execution conditions. However, some administration tasks still have to be performed by human administrators. Such tasks are very complex because of a lack of understanding of the system current...
Many agent simulations involve computational models of intelligent human behavior. In a variety of cases, these behavior models should be high-fidelity to provide the required realism and credibility. Cognitive architectures may assist the generation of such high-fidelity models as they specify the fixed structure underlying an intelligent cognitive system that does not change over time and across...
Nowadays there are already a multitude of various wearable devices, and more wearables are expected to come onto the market in the next few years. Much of the current research in wearable computing has fallen into two basic categories, device-centered and application-centered, which are however dedicated to specific applications, and without the flexibility and scalability sufficient to support more...
The rise of micro services as architectural pattern creates a bunch of interesting opportunities for software architectures of modelling editors and additional services. Main advantages are the scalability in collaborative distributed scenarios and enhanced possibilities regarding service development and operation. Throughout this article, we will illustrate how modelling editors and additional services...
Big Data as Data Space vector is described. There is constructed Data Space architecture. There is specific debug operation Data Space as a complex system. The query translator in Backus/Naur Form is given.
Source code and models of a software system, like architectural views, tend to evolve separately and drift apart over time. Previous research has shown that it is possible to effectively relate them through a reflex ion model, defined as a "summarization of a software system from the viewpoint of a particular high-level model"'. While effective, the process of constructing and analyzing...
For the joint scheduling problem of network resources and IT resources in optical networks during the cloud computing era, the cloud computing-oriented optical network architecture (CCOONA) and the resource model and task model are built. Moreover, a minimum cost-resource joint scheduling (MC-RJS) algorithm is designed. The joint scheduling scheme of using MC-RJS algorithm based on CCOONA is proposed,...
SmartLife ecosystems are emerging as intelligent user-centered systems that will shape future trends in technology and communication. Biological metaphors of living adaptable ecosystems provide the logical foundation for self-optimizing and self-healing run-time environments for intelligent adaptable business services and related information systems with service-oriented enterprise architectures....
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