Signal Strength estimation is important aspect for planning of wireless networks and for generating radio signal maps. There is a variety of approaches to estimate the signal strength in indoor environment that is bro...
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Signal Strength estimation is important aspect for planning of wireless networks and for generating radio signal maps. There is a variety of approaches to estimate the signal strength in indoor environment that is broadly classified as empirical model based signal strength estimations and deterministic model based signal strength estimations. Empirical models are widely used models for the received signal strength mapping and estimations but they always have a problem of reduced accuracy. Wall attenuation models are considered to be the model widely used and the simplest models but it lacks the accuracy whereas D-model is a newly proposed model that is more précised but not fully mature model. This paper compares both these models in terms of accuracy of RSS estimations in indoor environment especially for obstacles like walls and floors.
In Bio informatics, the prediction of protein function is considered a very important task but also difficult. Using a set of enzymes represented by Hydrolase, Isomerase, Ligase, Lyase, Transferase and Oxidoreductase ...
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ISBN:
(纸本)9781467317139
In Bio informatics, the prediction of protein function is considered a very important task but also difficult. Using a set of enzymes represented by Hydrolase, Isomerase, Ligase, Lyase, Transferase and Oxidoreductase classes, previously used by Dobson et ah, this paper proposes a self-learning process able to predict their classes, based on their primary and secondary structures, through a Support Vector Machine (SVM) classifier and genetic algorithm. An SVM can he characterized as a supervised machine learning algorithm capable of resolving linear and non-linear classification problems. During the learning process, both the training data and the corresponding output are presented to the SVM to allow its parameters to he adjusted. This study utilized genetic algorithms - optimization heuristics often used to estimate parameters - to adjust the main parameters of the classifier such as kernel function type and parameter C, which provides the relationship between the training error and the margin of separation between classes. In this specific prediction problem, the results indicate that the best function is an RBF where width is 6.1 and C is 6.9. Using these parameters, the classifier obtains an average accuracy of 79.74%.
Using a multi-core system to process real-time data of high computational complexity has become a popular solution for effectively enhancing system processing efficiency. However, the high-power consumption of a multi...
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Using a multi-core system to process real-time data of high computational complexity has become a popular solution for effectively enhancing system processing efficiency. However, the high-power consumption of a multi-core system remains a problem, particularly to handheld devices. Applying DVFS to properly decrease the system voltage and frequency can effectively save system power loss, nevertheless, the question of how to effectively and accurately configure a dynamic DVFS system to avoid missing a deadline or extra power loss remains to be widely discussed. This study examines many previous parallel processing architectures and DVFS mechanisms, and proposes two different orientations of parallel DVFS-enabled H.264/AVC decoders, and implements a multimedia heterogeneous multi-core platform. Based on experimental data, the impact of two parallel DVFS-able processing systems on H.264 decoding performance and power loss are studied.
Increasing the duration of active life is one of the most important problems in modern gerontology in the world, including Kazakhstan. First, the solution of these problems is associated with using information and com...
Increasing the duration of active life is one of the most important problems in modern gerontology in the world, including Kazakhstan. First, the solution of these problems is associated with using information and communication technologies (ICT). Gerontological RK portal, which has no analogues in countries of the former USSR, will include information on major aspects of the aging in RK. Portal will be a platform for exchange of experiences, publishing of research results, for getting generalized and personalized information. This paper describes the main elements of the portal and presents preliminary results of frequency occurrence analysis of cardiovascular diseases in elderly age and income level of the respondent on the basis of epidemiological screening, performed on the basis of data collected on our site.
In this paper, we show that the characterisation of all determinant inequalities for n × n positive definite matrices is equivalent to determining the smallest closed and convex cone containing all entropy functi...
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ISBN:
(纸本)9781467325790
In this paper, we show that the characterisation of all determinant inequalities for n × n positive definite matrices is equivalent to determining the smallest closed and convex cone containing all entropy functions induced by n scalar jointly Gaussian random variables. We have obtained inner and outer bounds on the cone by using representable functions and entropic functions. In particular, these bounds are tight and explicit for n ≤ 3, implying that determinant inequalities for 3 × 3 positive definite matrices are completely characterized by Shannon-type information inequalities.
We study the secret message capacity of an ergodic block fading wiretap channel with partial channel state information at the transmitter and perfect channel state information at the receivers. We consider that in add...
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We study the secret message capacity of an ergodic block fading wiretap channel with partial channel state information at the transmitter and perfect channel state information at the receivers. We consider that in addition to the statistics of the main and the eavesdropper channel state information (CSI), the sender is provided by the legitimate receiver with a q-bit feedback, at the beginning of each coherence block, through an error-free feedback channel, with capacity q bits. We establish upper and lower bounds on the secrecy capacity. We show that a positive secrecy rate is achievable even when the feedback is at the end of each coherence block and q = 1. We also show that the lower and the upper bounds coincide asymptotically as q → ∞. Finally, asymptotic analysis at high Signal-to-Noise Ratio (SNR) are presented where it is found that the capacity is bounded at high-SNR and present a simple suboptimal scalar quantizer that is capacity achieving, without the need of any numerical optimization, as q → ∞. When applied to Rayleigh fading channels, we show that, at high-SNR, a 4-bit feedback achieves 90% of the secrecy capacity when perfect main CSI is available at the transmitter.
As far as we know, there is not a Node Localization Algorithm (NLA) that presents the same accuracy for all possible scenarios. We believe that a NLA should be able to "interpret" the dynamic information of ...
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As far as we know, there is not a Node Localization Algorithm (NLA) that presents the same accuracy for all possible scenarios. We believe that a NLA should be able to "interpret" the dynamic information of the environment. In this sense, simple NLAs are rather focused and might perform well for specific scenarios and applications. Therefore, information fusion and context awareness seems to be an appropriate approach to address this issue. We propose the Smart Environmental Architecture for Node Localization (SEA-NL), which is composed by two main elements: (i) the Smart Beacon Nodes (SBNs) and (ii) the Logical Position of Nodes (LPN). In (i) the obstruction level indicator is estimated and can improve the estimation of distances among nodes. In (ii) environment information and a one to one relation between a node and an object are used and can also improve location estimation. Via simulation, our architecture was tested indoors and outdoors considering three localization algorithms: the Weighed Centroid Localization (WCL), the Centroid Localization, and the Triangular Centroid Localization. Finally, we present an accuracy comparison among NLAs used in isolated way, and by using the SBNs, the LPN, and the SEA-NL, where our architecture improves WCL up to ~30.88%.
This work presents a combination of the Model-View-Controller pattern with the Evolutionary Acquisition Interdisciplinary Research Project Management for web services *** intends to promote an increase in productivity...
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This work presents a combination of the Model-View-Controller pattern with the Evolutionary Acquisition Interdisciplinary Research Project Management for web services *** intends to promote an increase in productivity and to facilitate interdisciplinary web services *** consists of an independent database for users' feedback that together with technological opportunities and evolving threats considerations may start a new release of the system allowing a dynamic evolution through acquiring new features or correcting errors,but the new release decision is not *** other words,web service evolution is accomplished adding requirements analysis into the Model-View-Controller pattern,which is incorporated into Interdisciplinary Research Project Management.
Dielectric metamaterials offer a potential low-loss alternative to plasmonic metamaterials at optical frequencies. However, demonstrations of dielectric metamaterials have so far been limited to microwave and mid-infr...
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Dielectric metamaterials offer a potential low-loss alternative to plasmonic metamaterials at optical frequencies. However, demonstrations of dielectric metamaterials have so far been limited to microwave and mid-infrared frequencies. In this work, we outline the development of purely dielectric zero-index metamaterials operating at optical frequencies. The metamaterial, formed from silicon rods, exhibits impedance matching with air, resulting in unity transmission at the zero-index point. Design and experimental realization of the metamaterials is presented. The metamaterials can potentially be used for a number of applications including compact lens systems, directional emitters, and transformation optics devices.
We argue here that, in recent years, the world's financial markets have become a globally interconnected complex adaptive ultra-large-scale socio-technical system-of-systems, and that this has important consequenc...
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