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2016 IEEE Intl Conference on Computational Science and Engineering (CSE) and IEEE Intl Conference on Embedded and Ubiquitous Computing (EUC) and 15th Intl Symposium on Distributed Computing and Applications for Business Engineering (DCABES)
The wireless sensor network (WSN) is a promising technology for monitoring infrastructures, industrial structures, home security, industrial security, elderly people, and so on. An attractive characteristic of the WSN is to be easily installed to the conventional places by using the battery driven sensor nodes. The equipment cost is rather cheap since the heavy constructing work for wiring the power...
This paper presents a new online frequency selecting algorithm for asynchronous parallel methods running over grids. It selects a vector of frequencies that gives the best tradeoff between energy consumption and performance. It also has a very small overhead and works without training and profiling. New energy and performance models are used in this algorithm to predict the execution time and the...
This paper proposes an indoor positioning system based on the iBeacon framework. The proposed positioning scheme is a path loss method which uses the coordinate of transmitters in estimating the receiver's coordinate. To effectively reduce the measurement error due to reflected waves, we introduce a technique to represent the region at which the receiver is likely to exist by using the superposition...
This work presents a case study for the integration of two web-based systems, the "Kaltura" video platform and the "Photodentro Video" digital repository. The integration is based on the Open Archives Initiative Protocol for Metadata Harvesting and an associated automation, transformation, and push/pull notification strategy. Kaltura is a video management platform, which allows...
This work studies how to apply support vector machines in order to forecast the energy consumption of buildings. Usually, support vector regression is implemented using the sequential minimal optimisation algorithm. In this work, an alternative version of that algorithm is used to reduce the execution time. Several experiments were carried out taking into account data measured during one year. The...
The rising complexity of embedded digital applications and the growing importance of time-to-market require powerful modeling methods and tools to automate the design and implementation process. Electronic design automation (EDA) tools provide the required assistance to every design team, increasing its efficiency and helping meet the hard time to market constraints. Encoders and decoders are an essential...
Presents the introductory welcome message from the conference proceedings. May include the conference officers' congratulations to all involved with the conference event and publication of the proceedings record.
Heterogeneous System Architectures (HSA) are gaining importance in the High Performance Computing (HPC) domain due to increasing computational requirements coupled with energy consumption concerns, which conventional CPU architectures fail to effectively address. Systems based on Field Programmable Gate Array (FPGA) recently emerged as an effective alternative to Graphical Processing Units (GPUs)...
Presents the introductory welcome message from the conference proceedings. May include the conference officers' congratulations to all involved with the conference event and publication of the proceedings record.
File-based data access represents one of the most common ways of providing input data and retrieving output data in scientific applications. However, in distributed computing environments, the execution platform of the application and the storage location of the data might be different. Thus, additional efforts for performing the data transfers are required either by the application programmer or...
Emergent technologies such as smart phones and wireless Internet have transformed the Web from a static data publishing platform into a collaborative information sharing environment. Yet, attaining the next stage in Web engineering, i.e., the so-called Intelligent Web: allowing meaningful human-machine and machine-machine collaboration, requires another breakthrough: allowing the sharing and organization...
An image was taken by the XMM telescope to better understand galaxy clusters. We model the data as a high dimensional Poisson inverse problem and develop a lasso type estimator with a composite penalty (with two thresholds) to handle both estimation of the gas density in the cluster and detection of point sources.
Text is the backbone of the web and most of the information and human knowledge is represented in natural language. Every day, a vast amount of textual information is posted in web portals, wikis and news sites and necessitates automated approaches to analyze and understand their content. In this paper, we present a case-based reasoning approach to transform natural language sentences into first order...
This paper extends the notion of information processing capacity for non-independent input signals in the context of reservoir computing (RC). The presence of input autocorrelation makes worthwhile the treatment of forecasting and filtering problems for which we explicitly compute this generalized capacity as a function of the reservoir parameter values using a streamlined model. The reservoir model...
Isogeometric Analysis (IGA) is relatively young computational method built on the assumption that Non-Uniform Rational B-Splines (NURBS) are used both for modelling curved objects and as the base functions for approximating unknown fields. While single patch IGA implementation is relatively easy, implementation of multi-patch IGA with local patch refinement is more difficult, especially with respect...
Visualization of experimental data and results of numerical simulations belongs to most basic skills that need to be mastered by students at undergraduate, graduate and postgraduate levels. When faced with many visualization techniques and available tools, deep understanding of the fundamental concepts, such as visualization pipeline, is the necessary foundation for using data visualization effectively...
Semantic web is the future realization of the current web, in which resources are annotated with machine understandable meta-data, allowing the automation of tasks by employing these resources in their correct contexts. Several notable technologies have been specified by the World Wide Web Consortium (W3C) for the application development lifecycle of semantic web. The worldwide adoption of these technologies...
In this paper, we propose an architecture for personalizing information retrieval (IR), exploiting the interactions between the user and the social network. We use an extension of a Dung argumentation framework to show how the precision of the personalized information retrieval system could be improved. We use also social media and search history to define the user-profile which is represented by...
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