Search results for " networking"
showing 10 items of 1264 documents
A Mobile Computing Framework for Pervasive Adaptive Platforms
2012
International audience; Ubiquitous computing is now the new computing trend, such systems that interact with their environment require self-adaptability. Bioinspiration is a natural candidate to provide the capability to handle complex and changing scenarios. This paper presents a programming framework dedicated to pervasive platforms programming. This bioinspired and agentoriented framework has been developed within the frame of the PERPLEXUS European project that is intended to provide support for bioinspiration-driven system adaptability. This framework enables the platform to adapt itself to application requirements at high-level while using hardware acceleration at node level. The resu…
Embedded multi-spectral image processing for real-time medical application
2016
International audience; The newly introduced Kubelka-Munk Genetic Algorithm (KMGA) is a promising technique for the assessment of skin lesions from multi-spectral images. Using five skin parameter maps such as concentration or epidermis/dermis thickness, this method combines the Kubelka-Munk Light-Tissue interaction model and Genetic Algorithm optimization process to produce a quantitative measure of cutaneous tissue. Up to the present, variant improved KMGA implementations have been successfully realized using the recent parallel computing techniques. However, all these achievements are based on the multi-core CPUs. This results in a quite high cost and low practicability for the hardware …
Presentations of constrained systems with unconstrained positions
2005
International audience; We give a polynomial-time construction of the set of sequences that satisfy a finite-memory constraint defined by a finite list of forbidden blocks, with a specified set of bit positions unconstrained. Such a construction can be used to build modulation/error-correction codes (ECC codes) like the ones defined by the Immink-Wijngaarden scheme in which certain bit positions are reserved for ECC parity. We give a lineartime construction of a finite-state presentation of a constrained system defined by a periodic list of forbidden blocks. These systems, called periodic-finite-type systems, were introduced by Moision and Siegel. Finally, we present a linear-time algorithm for con…
Improving IoT Communications Based on Smart Routing Algorithms
2018
International audience; Due to the recorded success by Internet of Things (IoT) technology, more and more domains use it as a communications and exchange network such as e-health, smart cities, vehicles, etc. IoT don’t stop integrating an important number of components and objects that are characterized by their complexity and heterogeneity. Such constraints make the existing routings protocols unsuitable for IoT communications. To accomplish all the expected tasks and satisfy the user services, it is important to guarantee a quality of communication that answers to the requirements of the various applications in terms of data and processing (availability, integrity, efficiency, etc.). The …
Frequency Stability Measurement of Cryogenic Sapphire Oscillators with a Multichannel Tracking DDS and the Two-Sample Covariance
2018
This article shows the first measurement of three 100 MHz signals exhibiting fluctuations from 2E-16 to parts in 1E-15 for integration time tau between 1 s and 1 day. Such stable signals are provided by three Cryogenic Sapphire Oscillators (CSOs) operating at about 10 GHz, also delivering the 100 MHz output via a dedicated synthesizer. The measurement is made possible by a 6-channel Tracking DDS (TDDS) and the two-sample covariance tool, used to estimate the Allan variance. The use of two TDDS channels per CSO enables high rejection of the instrument background noise. The covariance outperforms the Three-Cornered Hat (TCH) method in that the background converges to zero "out of the box," wi…
A Deep Learning Model for Automatic Sleep Scoring using Multimodality Time Series
2021
Sleep scoring is a fundamental but time-consuming process in any sleep laboratory. Automatic sleep scoring is crucial and urgent to help address the increasing unmet need for sleep research. Therefore, this paper aims to develop an end-to-end deep learning architecture using raw polysomnographic recordings to automate sleep scoring. The proposed model adopts two-dimensional convolutional neural networks (2D-CNN) to automatically learn features from multi-modality signals, together with a "squeeze and excitation" block for recalibrating channel-wise feature responses. The learnt representations are finally fed to a softmax classifier to generate predictions for each sleep stage. The model pe…
Aviokompāniju reklāmu raksturojums sociālo tīklu tīmekļa vietnēs Facebook un Twitter
2018
Reklāma ir profesionālā diskursa žanrs, kas tiek izmantots komunikācijai ar sabiedrību. Mūsdienās internets un sociālo tīklu tīmekļa vietnes tiek bieži izmantotas reklāmas nolūkos. Šī pētījuma mērķis bija analizēt lingvistiskās un paralingvistiskās iezīmes sociālo tīklu tīmekļa vietnēs Facebook un Twitter publicētajās aviokompāniju reklāmās. Pētījums tika balstīts uz Kuka (Cook, 1992) piedāvāto diskursa analīzes modeli, kas ietver teksta un konteksta analīzi. Pētījuma rezultāti parādīja, ka šo reklāmu tekstos izmantotā valoda ir vienkārša un lasītājam draudzīga, kas ir panākts, pārsvarā izmantojot vienkāršus teikumus, kā arī lietojot kontrakcijas un saīsinājumus. Tā arī imitē sarunu ar lasī…
Technostress and social networking services: Explaining users' concentration, sleep, identity, and social relation problems
2018
It is common for users of social networking sites and services (SNS) to suffer from technostress and the various associated strains that hinder their well‐being. Despite prior SNS stress studies having provided valuable knowledge regarding SNS stressors and their use consequences, they have not examined the various strains related to well‐being that those stressors can create nor the underlying SNS characteristics. To address this gap in the research, we used a qualitative approach involving narrative interviews. As a contribution, our findings reveal four types of strains related to well‐being (concentration problems, sleep problems, identity problems, and social relation problems) as well…
Defining collaboration rules in mechatronic Industry
2011
Small and medium companies in order to survive in the global market should promote the creation of partnerships and business networking. Thanks to business networks, in fact, they can reach efficiencies, improve their knowledge and increase their degree of internationalization. The industrial district is a very common type of business network model, especially in Italy. Belonging to an industrial district increases companies inclination to sign inter-firm collaboration contracts such as alliances, outsourcing and joint ventures. However, some Italian districts, mostly those recently constituted and localized in the south of Italy, such as the Sicilian Mechatronic District (SMD), lacks of ac…
Strategic alignment of business network forms and single companies’ objectives
2009
In this paper the most significant theories on firm networking are reviewed and an innovative strategic perspective that underlies at firm network organization is proposed. It is argued that networks are differently organized according to three basic strategic objectives: gaining efficiency, collecting knowledge, pursuing globalization. The research is supported by secondary data analysis based on a sample of about 115 case studies published in different journals and magazines.