Search results for " and Control"

Bericht des permanenten Sanitäts-Comité der Stadt Riga über seine Wirksamkeit im Jahre 1876

1877

Inhalt: Einleitung ; I. Allgemeine Maßnahmen ; II. Verunreinigungen der Straßen, Höfe, öffentlichen Plätze etc. ; III. Die fließenden und stagnirenden Gewässer ; IV. Die Latrinen und deren Vereinigung ; V. Die Fabriken und gewerblichen Etablissements ; VI. Die Nahrungsmittel und Getränke ; VII. Die Bibliothek / der Sanitäts-Comité ; BEILAGE : I. Gutachten, betr. die Verlegung der Thalbeim'schen Fabrik / Dr. Bochmann, F. Weber ; II. Bericht über: Die Schlachthäuser in Riga / Dr. Bochmann ; III. Bericht über: Untersuchung zweier Wasserproben / F. Weber

A SURVEY ON SMART GRIDS ACTIONS AND COMPONENTS FOR ENERGY CONSUMPTIONS OPTIMIZATION

2014

In the paper a survey on the features that a smart grid has to perform for energy consumptions optimization are presented and explained. By optimizing the loads usage with the grid priorities both end-users and the energy providers can save energy (and so CO2 emissions) and money. In the paper the conceive of an architecture in-home and at residential level is proposed to arrange a smart grid with its intelligent and connected load consumers. Qualitative results from the European research project “BeyWatch” are here mentioned in order to explain how the conceived main services in smart grid, like monitoring and control services, energy management services and load management services allow …

Hankelet-based dynamical systems modeling for 3D action recognition

2015

This paper proposes to model an action as the output of a sequence of atomic Linear Time Invariant (LTI) systems. The sequence of LTI systems generating the action is modeled as a Markov chain, where a Hidden Markov Model (HMM) is used to model the transition from one atomic LTI system to another. In turn, the LTI systems are represented in terms of their Hankel matrices. For classification purposes, the parameters of a set of HMMs (one for each action class) are learned via a discriminative approach. This work proposes a novel method to learn the atomic LTI systems from training data, and analyzes in detail the action representation in terms of a sequence of Hankel matrices. Extensive eval…

Combing System Dynamics Modeling and Performance Management Systems to Frame the One Stop Shop Service: a Case Study Based on Palermo's Municipality

The Italian public sector is characterized by a great number of stakeholders, both public and private. That’s the reason why, in the past, dealing with public issues meant to face different actors and administrations, to solve the several number of bureaucratic requirements. In particular, the field of new business activities was very complex. This area was characterized by huge fragmentations among the public bodies involved. In fact, if an entrepreneur wanted to open a new business, it was necessary to deal with different subjects to obtain the mandatory permits, license and authorizations. Accomplishing all the steps, without any support from the public sector, implied an increase of cos…

Dynamic Regret Analysis for Online Tracking of Time-varying Structural Equation Model Topologies

2020

Identifying dependencies among variables in a complex system is an important problem in network science. Structural equation models (SEM) have been used widely in many fields for topology inference, because they are tractable and incorporate exogenous influences in the model. Topology identification based on static SEM is useful in stationary environments; however, in many applications a time-varying underlying topology is sought. This paper presents an online algorithm to track sparse time-varying topologies in dynamic environments and most importantly, performs a detailed analysis on the performance guarantees. The tracking capability is characterized in terms of a bound on the dynamic re…

Non-cooperative Aerial Base Station Placement via Stochastic Optimization

2019

Autonomous unmanned aerial vehicles (UAVs) with on-board base station equipment can potentially provide connectivity in areas where the terrestrial infrastructure is overloaded, damaged, or absent. Use cases comprise emergency response, wildfire suppression, surveillance, and cellular communications in crowded events to name a few. A central problem to enable this technology is to place such aerial base stations (AirBSs) in locations that approximately optimize the relevant communication metrics. To alleviate the limitations of existing algorithms, which require intensive and reliable communications among AirBSs or between the AirBSs and a central controller, this paper leverages stochastic…

Quantization Analysis and Robust Design for Distributed Graph Filters

2020

Distributed graph filters have recently found applications in wireless sensor networks (WSNs) to solve distributed tasks such as reaching consensus, signal denoising, and reconstruction. However, when implemented over WSNs, the graph filters should deal with network limited energy constraints as well as processing and communication capabilities. Quantization plays a fundamental role to improve the latter but its effects on distributed graph filtering are little understood. WSNs are also prone to random link losses due to noise and interference. In this instance, the filter output is affected by both the quantization error and the topological randomness error, which, if it is not properly ac…

Gradient-based Automatic Look-Up Table Generator for Atmospheric Radiative Transfer Models

2020

Atmospheric correction of Earth Observation data is one of the most critical steps in the data processing chain of a satellite mission for successful remote sensing applications. Atmospheric Radiative Transfer Models (RTM) inversion methods are typically preferred due to their high accuracy. However, the execution of RTMs on a pixel-per-pixel basis is impractical due to their high computation time, thus large multi-dimensional look-up tables (LUTs) are precomputed for their later interpolation. To further reduce the RTM computation burden and the error in LUT interpolation, we have developed a method to automatically select the minimum and optimal set of nodes to be included in a LUT. We pr…

Simultaneous harvest-and-transmit ambient backscatter communications under Rayleigh fading

2019

Ambient backscatter communications is an emerging paradigm and a key enabler for pervasive connectivity of low-powered wireless devices. It is primarily beneficial in the Internet of things (IoT) and the situations where computing and connectivity capabilities expand to sensors and miniature devices that exchange data on a low power budget. The premise of the ambient backscatter communication is to build a network of devices capable of operating in a battery-free manner by means of smart networking, radio frequency (RF) energy harvesting and power management at the granularity of individual bits and instructions. Due to this innovation in communication methods, it is essential to investigat…

From optimization to algorithmic differentiation: a graph detour

2021

This manuscript highlights the work of the author since he was nominated as "Chargé de Recherche" (research scientist) at Centre national de la recherche scientifique (CNRS) in 2015. In particular, the author shows a thematic and chronological evolution of his research interests:- The first part, following his post-doctoral work, is concerned with the development of new algorithms for non-smooth optimization.- The second part is the heart of his research in 2020. It is focused on the analysis of machine learning methods for graph (signal) processing.- Finally, the third and last part, oriented towards the future, is concerned with (automatic or not) differentiation of algorithms for learnin…