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Non-invasive blood glucose measurement is a crucial challenge in both academic and industry communities. Currently, most of non-invasive solutions are developed based on optical signals. However, their accuracy is still far from clinical requirements if these measured optical signals directly used to estimate corresponding glucose levels. To solve this challenge, a novel Back-propagation Monte Carlo...
The article describes the infrastructural potential as one of the main factors of Russian regions' competitive potential. Infrastructural factor of competitive potential is a very important element of increasing competitive advantages. The research suggests to estimate the regionals' infrastructural potential to enlarge completeness of estimating the factors of competitive potential.
In recent years, capsule endoscopy has attracted attention as a medical device that examines the internal digestive tract without burdening the patient. Wireless power transmission of the capsule endoscope is researching now, and the power transmission efficiency can be improved by knowing the capsule location. In this report, we try to use the three-dimensional localization method with five antennas.
Free-space radiowave propagation model, used in short-range EMC system analysis, is inadequate for the reactive near-field zone in the radiating source vicinity. It results in errors when the electromagnetic background intensity is being analyzed in cases with high terrestrial density of mobile transmitters, capable to be found nearer to an observation point at ranges, comparable with radius of this...
2D Gabor filters are sinusoidal waves of some frequency and orientation within a 2D Gaussian envelope and are used to model simple cells (S1) in primate visual cortex. Visual system in primates extracts information both in 2D spatial and frequency domains. In this paper, we use multiple spatial frequencies to model S1 cells in primates visual cortex. Thereafter, we use MAX and STD operators to extract...
The article deals with the constructing of the decision-making system using the modern software which supports the automation of reporting and management. For this purpose we will implement the procedure of quality estimation and risk-contributing factors forecasting. The system can be used for the formation of the development strategy of the high-technology enterprises.
The Volterra model is a well-established option in nonlinear black-box system identification. However, the estimated model is often over-parametrized. This paper presents an approach to reducing the number of parameters of a Volterra model with the kernels parametrized in the orthonormal basis of Laguerre functions by estimating it with a sparse estimation algorithm subject to constraints. The resulting...
This paper considers the problem of state estimations in virus/ worm epidemic dynamic system with time-dependent parameters in arbitrary sparse networks by using continuous-discrete Extended Kalman Filter (so-called Hybrid Extended Kalman Filter [1]). The virus spreading dynamic model has unmeasurable states and with highly nonlinearities which makes the state estimation complicated and not straightforward...
GCOM-C SGLI land products are being developed toward better understandings of terrestrial carbon cycle and future climate change projection. In this paper, we will introduce two research products, Leaf Area Index (LAI) and Net Primary Productivity (NPP) and their application of these products to earth system models (ESMs). The LAI product as research product is an improved version from standard product...
This study investigated the efficacy of fusing simulated Global Ecosystem Dynamics Investigation (GEDI) lidar data with TanDEM-X (TDX) single-polarized InSAR data for the estimation of forest structure over a coniferous Forest — Teakettle Experimental Forest (TEF). Simulated GEDI canopy heights were used to constrain the unknown parameter of a widely-used SAR scattering model — Random Volume over...
Nonlinear spectral unmixing based on the bilinear mixture models has received much attention recently. In this paper, an abundance estimation algorithm based on the geometric characteristics of bilinear mixture models is proposed. By representing the models' bilinear terms as the linear contribution of an extra vertex that concentrates the common nonlinear mixing effect, solving the complex bilinear...
Medium spatial resolution biomass is a crucial link from the plot to regional and global scales. Although remote-sensing data-based methods have become a primary approach in estimating forest aboveground biomass (AGB), many difficulties remain in data resources and prediction approaches [1, 2]. Each kind of sensor type and prediction method has its own merits and limitations. To select the proper...
The paradigm shift in construction cost estimation is attributed to technological innovations in the spheres of building information modelling (BIM) and industrialised building systems (IBS). Majority of construction projects experience cost overruns which affect project objectives. The outcome of cost overruns invariably leads to disputes and further delays. Similarly, cost estimators resistance...
This paper deals with two robot identification methods recently introduced. The first one is based on the use of the Inverse Dynamic Identification Model (IDIM) and the Instrumental Variable (IV). The second one is the Direct and Inverse Dynamic Identification Models (DIDIM) method, which is a closed-loop output error method minimizing the quadratic error between the actual and simulated joint torques...
In this paper we study the problem of estimating the position of a joint that is connecting two rigid links in a biomechanical model. By equipping the two links with inertial sensors, which measure linear acceleration and angular velocity, it is possible to estimate the joint position. Estimation methods for this problem have been proposed before, but experimental evaluation and comparison between...
Motivated by applications in adaptive control, this article compares two recursive estimation algorithms for sparse estimation of linear dynamical (ARX) models. In most practical situations an accurate mathematical model estimation of a real system using the least number of parameters is highly desirable. The expectation of sparsity is imposed through minimization of an objective function that includes...
We aim towards the implementation of a set of fuzzy controllers capable to perform automated estimation of the period of time necessary to recover a resilience level through the non-linear influence of a set of interrelated climate change resilience indicators constrained by social-based variables. This fuzzy controller set, working together with a fuzzy inference system type Mamdani, will be capable...
Indoor localization techniques proposed to date have assumed costly resources in terms of computation, power, or sensing modality for many wearable end-devices in the Internet of .ings (IoT). To make localization a universal feature for IoT devices, we propose EcoLoc, an indoor localization system using collaborative version of Conditional Random Fields (CCRF) integrated with our encounter model to...
The aim of this work is to estimate the medication adherence of patients with heart failure through the application of a data mining approach on a dataset including information from saliva and breath biomarkers. The method consists of two stages. In the first stage, a model for the estimation of adherence risk of a patient, exploiting anamnestic and instrumental data, is applied. In the second stage,...
Abstract-In this paper, we study forecasting through time series decomposition to predict Amazon Elastic Compute Cloud (EC2) Spot prices. To achieve this, we first decompose the Spot price history into time series components; each component, which can exhibit deterministic or non-deterministic qualities, is then separately forecast using different standard forecasting techniques and look back periods;...
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