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Spatio-temporal probabilistic modeling based on Gaussian mixture models and neural gas theory for prediction of criminal activity
(Annual Conference of the Prognostics and Health Management Society 2017, 2017-08-18)
Criminal risk models are used to assist security forces both in the identification of zones with high of criminal activity for better resource allocation and prediction of future criminal events for the prevention of new ...
Procedure for Selecting a Transmission Mode Dependent on the State-of-Charge and State-of-Health of a Lithium-ion Battery in Wireless Sensor Networks with Energy Harvesting Devices
(Proceedings of the Annual Conference of the PHM Society 2018, 2018-09-24)
Diverse methods and considerations have been proposed to manage the available energy in an efficient manner in Wireless Sensor Networks. By incorporating Energy Harvesting Devices in these type of networks it is possible ...
Electric Bicycle Energy Management Given an Elevation Traveling Profile
(Annual Conference of the Prognostics and Health Management Society 2017, 2017-09-06)
This research proposes a method for energy management in electric bicycles with Lithium-Ion batteries. This method optimizes the way energy is consumed to maximize the rider’s comfort, subject to constraints on the battery ...
Characterizing the degradation process of Lithium-Ion Batteries using a Similarity-Based-Modeling Approach
(Fourth European Conference of the Prognostics and Health Management Society 2018, 2018-07-01)
This article proposes a Similarity-Based-Modeling (SBM) approach capable of characterizing the degradation process of a lithium-ion (Li-ion) battery when discharged under different current rates and different State-of-Charge ...
Particle-Filtering-Based State-of-Health Estimation and End-of-Life Prognosis for Lithium-Ion Batteries at Operation Temperature
(Annual Conference of the PHM Society 2016, 2016-08-15)
We present the implementation of a particle-filtering-based framework that estimates the State-of-Health (SOH) and predicts the End-of-Life (EOL) of Lithium-Ion batteries, efficiently incorporating variations of ambient ...
Lithium-Ion Battery End-of-Discharge Time Estimation and Prognosis based on Bayesian Algorithms and Outer Feedback Correction Loops: A Comparative Analysis
(A Comparative Analysis. In the Annual Conference of the Prognostics and Health Management Society 2015, 2015-08-24)
Battery energy systems are currently one of the most common power sources found in mobile electromechanical devices. In all these equipment, assuring the autonomy of the system requires to determine the battery state-of-charge ...
State-of-charge estimation to improve decision making by MAC protocols used in WSNs
(IET, 02/07/2019)
Energy conservation is a topic of great interest in wireless sensor networks (WSNs). Various techniques have been proposed to minimise the energy consumption. One approach is to design medium access control (MAC) protocols ...
Improvements of Energy-Efficient Techniques in WSNs: A MAC-Protocol Approach
(IEEE, 10/12/2018)
The pervasiveness of wireless sensor networks (WSNs) across different applications keeps increasing due to their versatility, although energy consumption is a huge constraint for these types of networks. Therefore, it is ...
Modelling the degradation process of lithium-ion batteries when operating at erratic state-of-charge swing ranges
(2017 4th International Conference on Control, Decision and Information Technologies (CoDIT), 11/09/2017)
Manufacturers of lithium-ion batteries inform capacity degradation for regular, symmetrical charge/discharge cycles, which is clearly problematic in real life applications where charge/discharge cycles are hardly regular. ...
Frame retransmission using a modified VST-TDMA access protocol in Picocell/WPAN
(2017 IEEE 9th Latin-American Conference on Communications (LATINCOM), 12/28/2017)
The VST-TDMA access protocol has shown to have many advantages over existing protocols in centralized (star) wireless network architectures. As most data-link layer protocols, it does not have a recovery feature as data ...