Search results for "smart"
showing 10 items of 938 documents
A vision system for symbolic interpretation of dynamic scenes using arsom
2001
We describe an artificial high-level vision system for the symbolic interpretation of data coming from a video camera that acquires the image sequences of moving scenes. The system is based on ARSOM neural networks that learn to generate the perception-grounded predicates obtained by image sequences. The ARSOM neural networks also provide a three-dimensional estimation of the movements of the relevant objects in the scene. The vision system has been employed in two scenarios: the monitoring of a robotic arm suitable for space operations, and the surveillance of an electronic data processing (EDP) center.
A Flexible 4G/5G Control Platform for Fingerprint-based Indoor Localization
2019
In this paper we propose a centralized SDN platform devised to control indoor femto-cells for supporting multiple network-wide optimizations and applications. In particular, we focus on an example localization application in order to enlighten the main functionalities and potentialities of the approach. First, we demonstrate that the platform can be exploited for reconfiguring some operational procedures, based on standard signalling mechanisms, at the programmable femto-cells; these procedures enable customized logics for collecting measurements reports from mobile terminals. Second, assuming that high-density devices such as smart objects are disseminated in the controlled indoor space, w…
An Improved Load Flow Method for MV Networks Based on LV Load Measurements and Estimations
2019
A novel measurement approach for power-flow analysis in medium-voltage (MV) networks, based on load power measurements at low-voltage level in each secondary substation (SS) and only one voltage measurement at the MV level at primary substation busbars, was proposed by the authors in previous works. In this paper, the method is improved to cover the case of temporary unavailability of load power measurements in some SSs. In particular, a new load power estimation method based on artificial neural networks (ANNs) is proposed. The method uses historical data to train the ANNs and the real-time available measurements to obtain the load estimations. The load-flow algorithm is applied with the e…
Mean Radiant Temperature Measurements through Small Black Globes under Forced Convection Conditions
2021
One of the most critical variables in the field of thermal comfort measurements is the mean radiant temperature which is typically measured with a standard 150 mm black globe thermometer. This is also the reference instrument required for the assessment of heat stress conditions by means of the well-known Wet Bulb Globe Temperature index (WBGT). However, one of the limitations of this method is represented by the relatively long response time. This is why in recent years there has been a more and more pressing need of smart sensors for controlling Heating Ventilation and Air Conditioning (HVAC) systems, and for pocket heat stress meters (e.g., WBGT meters provided with table tennis balls). …
A new method to retrieve the aerosol layer absorption coefficient from airborne flux density and actinic radiation measurements
2010
A new method is presented to derive the mean value of the spectral absorption coefficient of an aerosol layer from combined airborne measurements of spectral net irradiance and actinic flux density. While the method is based on a theoretical relationship of radiative transfer theory, it is applied to atmospheric radiation measurements for the first time. The data have been collected with the Spectral Modular Airborne Radiation Measurement System (SMARTA¢ÂÂAlbedometer), the Solar Spectral Flux Radiometer (SSFR), and the Actinic Flux Spectroradiometer (AFSR) during four field campaigns between 2002 and 2008 (the Saharan Mineral Dust Experiment (SAMUM), the Influence of Clouds on the Spectra…
Machine Learning VS Transfer Learning - Smart Camera Implementation for Face Authentication
2018
The aim of this paper is to highlight differences between classical machine learning and transfer learning applied to low cost real-time face authentication. Furthermore, in an access control context, the size of biometric data should be minimized so it can be stored on a remote personal media. These constraints have led us to compare only lightest versions of these algorithms. Transfer learning applied on Mobilenet v1 raises to 85% of accuracy, for a 457Ko model, with 3680s and 1.43s for training and prediction tasks. In comparison, the fastest integrated method (Random Forest) shows accuracy up to 90% for a 7,9Ko model, with a fifth of a second to be trained and a hundred of microseconds …
Blockchain based Device identification and authentication in a Smart Grid
2020
The power grid is a critical infrastructure of a country that needs protection and security. According to the report of the International Energy Agency, the electricity demand is constantly increasing the world over. Countries are moving towards green energy and efforts are being made to integrate these green energy into the main grid. Smart Grid will improve the reliability and efficiency of the grid by managing the energy demand. Cyber-attacks and cyber terrorism is also increasingly targeting the electrical grid. Intruders may try to gain access to the grid by exploiting the vulnerability of the grid. IEDs/devices are the endpoints of the network and they are the weakest link in the enti…
Analysis and Optimization Technique of Secure Smart Grid Communication Network for Sustainable Development
2019
The smart network includes many sub-frameworks, for example, the Home Area Network (HAN), which are at risk and prone to be attacked remotely. A smart grid communication is meant to design a mutual authentication scheme and a key management protocol. This study is aimed with an efficient arrangement for HAN that analyzes a framework set-up for HAN. In this paper, we have analyzed three cases: First, we show the normal execution then execution along with attackers. Using mutual authentication, we overcome attacks. It has introduced a number of routing schemes for grid networks in recent years, and they provide different level of privacy protection at different cost. First, an unspecified key…
Implementation of a Management System for Prosumer Energy Storage Scheduling in Smart Grids
2020
Scheduling of energy storage systems of distributed generation is a key element for optimal renewable energy sources (RES) exploitation in smart grids, demand side response strategies implementation and prosumers interaction with Distribution System Operators (DSOs). In this context, this paper presents the implementation of a management system for energy storage scheduling, which allows taking appropriate account of the storage system behavior in real cases. To properly consider the real system operation, the employed battery model is modified, in order to include also the hysteresis phenomena in state of charge estimation in both charging and discharging operation. The validation of the p…
Life cycle assessment of storage systems: the case study of a sodium/nickel chloride battery
2014
This study assesses the energy and environmental impacts of sodium/nickel chloride batteries, one of the emerging battery technologies for energy storage and smart grids. The analysis was conducted using the Life Cycle Assessment methodology according to the standards of the ISO 14040 series. The study system was one sodium/nickel cell battery providing electric storage for a photovoltaic system, and the manufacturing, operation, and end-of-life steps were analysed. The results indicated that the operation step has the greatest energy impact (55-70% of the total), with the manufacturing step, particularly cell manufacturing, contributing the greatest environmental impact (>60% of the total)…