Search results for "Form."
showing 10 items of 43419 documents
Do terrorism, organized crime (drug production), and state weakness affect contemporary armed conflicts? An empirical analysis
2015
ABSTRACTIn 2014, the UN Security Council emphasized the dangers of terrorism, criminal activity (especially drug production and trafficking), and state weakness in conflict areas. However, neither policy debates nor scholarly analyses have focussed on the potential impact of these elements on conflict dynamics and characteristics, and the investigated partial relationships have led to inconclusive results. This article explores the presence in armed conflicts of terrorist groups among fighting parties, major drug production (indicating the presence of activities typical of criminal organizations), and state failure in the period 1990–2011. Focussing on intrastate conflicts, this article hig…
A predictive learning approach to optimal load sharing in energy management systems
2019
Given the total power demand, $P_{d}$ , current practice of equal load sharing in the process industry is to distribute the load among power supply units and machines (e.g., diesel/aas/wind turbines) in proportion to the maximum power, i.e., $P_{i}=\frac{p_{\max}^{i}}{\sum_{j}P_{\max}^{j}}P_{d}$ , where $P_{\max}^{i}$ denotes the maximum power of the ithunit. However, the efficiency of power supply units, vary in time and are highly individual, even in the case of units from same brand and model. Thus, by considering and utilizing these individual differences, it is possible to share the load in a more fuel/cost/energy optimal manner. To capture this potential, the work presented in this pa…
Algebraic parameter estimation of a multi-sinusoidal waveform signal from noisy data
2013
International audience; In this paper, we apply an algebraic method to estimate the amplitudes, phases and frequencies of a biased and noisy sum of complex exponential sinusoidal signals. Let us stress that the obtained estimates are integrals of the noisy measured signal: these integrals act as time-varying filters. Compared to usual approaches, our algebraic method provides a more robust estimation of these parameters within a fraction of the signal's period. We provide some computer simulations to demonstrate the efficiency of our method.
Gradient-based time to contact on paracatadioptric camera
2013
International audience; The problem of time to contact or time to collision (TTC) estimation is largely discussed in perspective images. However, a few works have dealt with images of catadioptric sensors despite of their utility in robotics applications. The objective of this paper is to develop a novel model for estimating TTC with catadioptric images relative to a planar surface, and to demonstrate that TTC can be estimated only with derivative brightness and image coordinates. This model, called "gradient based time to contact", does not need high processing such as explicit estimation of optical flow and feature detection/or tracking. The proposed method allows to estimate TTC and give…
Algebraic parameter estimation of a biased sinusoidal waveform signal from noisy data
2012
International audience; The amplitude, frequency and phase of a biased and noisy sum of two complex exponential sinusoidal signals are estimated via new algebraic techniques providing a robust estimation within a fraction of the signal period. The methods that are popular today do not seem able to achieve such performances. The efficiency of our approach is illustrated by several computer simulations.
English Language Policy in Relation to Teachers and Teacher Educators in Latvia: Insights from Activity Systems Analysis
2020
The ambitious objectives of European language policy and the strive for competitiveness have led to an increasing emphasis on foreign language competence at the level of national education systems. Using Spolsky’s onion model of language policy (2004) and Engeström’s Expansive Learning theory (1987, 2008), the study attempts to determine the formative influence of the existing multilayered language policy on the professional development of Latvian educators with the aim to compare the situation for teachers and teacher educators in respect of their English language proficiency.Given the prioritisation of English and strategic differences in foreign language management in relation to teacher…
Identification of Objects Based on Generalized Amplitude-Phase Images Statistical Models
2017
The article presents the dynamical objects identification technology based on statistical models of amplitude-phase images (APIm) – multidimensional data arrays (semantic models) and statistical correlation analysis methods using the generalized discrete Hilbert transforms (DHT) – 2D Hilbert (Foucault) isotropic (HTI), anisotropic (HTA) and total transforms – AP-analysis (APA) to calculate the APIm. The identified objects are modeled with 3D airplanes templates rotated in space around the center of Cartesian coordinate system. The DHT domain system of coordinates displaying the plane projections (2D flat images) remains to be space-invariant. That causes the anisotropic properties of APIm a…
Development Overview of a Smart Customizable Product
2018
Abstract This paper presents the development phases of a smart product that can be manufactured on a cyber physical production system. The intelligent product’s requirements are defined from the manufacturing perspective and then converted into technical product characteristics. Finally, we refined the technical characteristics to create a functional tablet with customizable hardware functionalities as a customizable product.
Visual saliency detection in colour images based on density estimation
2017
International audience; A simple and effective method for visual saliency detection in colour images is presented. The method is based on the common observation that local salient regions exhibit distinct geometric and and texture patterns from neighbouring regions. We model the colour distribution of local image patches with a Gaussian density and measure the saliency of each patch as the statistical distance from that density. Experimental results with public datasets and comparison with other state-of-the-art methods show the effectiveness of our method.
Tolerating malicious monitors in detecting misbehaving robots
2008
This paper considers a multi–agent system and focuses on the detection of motion misbehavior. Previous work by the authors proposed a solution, where agents act as local monitors of their neighbors and use locally sensed information as well as data received from other monitors. In this work, we consider possible failure of monitors that may send incorrect information to their neighbors due to spontaneous or even malicious malfunctioning. In this context, we propose a distributed software architecture that is able to tolerate such failures. Effectiveness of the proposed solution is shown through preliminary simulation results.