Zerrendatu Artikuluak-Ingeniaritza honen arabera: izenburua
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A neural-visualization IDS for honeynet data
(World Scientific, 2012)Neural intelligent systems can provide a visualization of the network traffic for security staff, in order to reduce the widely known high false-positive rate associated with misuse-based Intrusion Detection Systems (IDSs). ... -
Neuro-Sliding Control for Underwater ROV’s Subject to Unknown Disturbances
(MDPI, 2019)Proposed in this paper is a model-free and chattering-free second order sliding mode control(2nd-SMC) in combination with a backpropagation neural network (BP-NN) control scheme for underwater vehicles to deal with external ... -
A New Battery SOC/SOH/eSOH Estimation Method Using a PBM and Interconnected SPKFs: Part I. SOC and Internal Variable Estimation
(IOP Publishing, 2024)Battery management systems (BMSs) are required to estimate many non-measurable values that describe the actual operating condition of batteries; such as the state of charge (SOC) or the state of health (SOH). In order to ... -
A New Battery SOC/SOH/eSOH Estimation Method Using a PBM and Interconnected SPKFs: Part II. SOH and eSOH Estimation
(IOP Publishing, 2024)Battery management systems (BMSs) are required to estimate many non-measurable values that describe the actual operating condition of batteries; such as state of charge (SOC) or state of health (SOH). In order to improve ... -
New Calibration method to measure Rake Face Temperature of the tool during Dry Orthogonal Cutting using Thermography
(Elsevier Ltd., 2018)A new method for measuring temperature in the rake face of a tool during dry orthogonal cutting using ther- mography is presented. In addition, a new technique is also used to calibrate the infrared camera. Using ... -
New design for assembly (DfA) methodology for large and heavy parts assembled on site
(Elsevier Ltd., 2021)A literature review on the assembly design methodologies (DfA) oriented to the assembly of large and heavy parts, reveals the need to develop a DfA methodology. In addition, the lack of DfA evaluation methods for on-site ... -
New drawbead tester and numerical analysis of drawbeads closure force
(Springer, 2021)Currently, a great deal of controversy exists regarding the real forces generated in drawbeads during sheet metal forming processes. The present work focuses on the analysis of the uplift force. First, a detailed literature ... -
A new equivalent circuit model parametrization methodology based on current pulse tests for different battery technologies
(MDPI, 2021)With growing global commitment to renewable energy generation, the role of energy storage systems has become a central issue in traction power applications, such as electric vehicles, trains, and elevators. To achieve the ... -
A New Method to Evaluate Good Design for Brand Recognition in the Digital World
(Routledge, 2019)Visual aesthetics has become a crucial element in strengthening brand experience. In the digital era, however, designers need to approach aesthetics from a holistic standpoint where both traditional and more modern ... -
Non-destructive experimental technique to determine ball contact load in rolling machine elements
(Elsevier, 2024)Rolling machine elements, such as ball bearings, ball screws, or guiding systems are commonly used in diverse industrial applications. These components typically assume uniform load distribution among the balls or rely on ... -
Non-invasive Thermohydrodynamic Approach for Fast Cell Manipulation at the Microscale
(Springer, 2024)Thermal gradients have emerged as a promising technique for manipulating and sorting biological material at the microscale, holding considerable potential in lab-on-a-chip technology. Herein, we propose a non-invasive ... -
A Note on Interpreting Tool Temperature Measurements from Thermography
(Taylor & Francis, 2015)Thermography (thermal imaging) is a well-established experimental method for studying cutting tool temperature distributions. In one form, cutting edge temperatures within the chip / tool contact area are deduced from ... -
A novel direct liquid cooling strategy for electric vehicles focused on pouch type battery cells
(Elsevier Ltd., 2022)In this work, a novel direct liquid cooling strategy for a large-scale lithium-ion pouch type cell is proposed to control the cell working temperature within the optimum range of performance and safety. With a modular ... -
Novel email spam detection method using sentiment analysis and personality recognition
(Oxford Academic, 2020)Unsolicited email campaigns remain as one of the biggest threats affecting millions of users per day. During the past years several techniques to detect unsolicited emails have been developed. This work provides means to ... -
A novel forming technique to coforge bimetal components into complex geometries
(Elsevier Ltd., 2020)The novel Near Solidus Forming process has been used to coforge stainless steel 304 to encapsulate a core of 42CrMo4 steel in Stainless 304 in the form of a complex spindle. The forging was achieved with a force of 280 t, ... -
A novel formulation for radial fretting wear: Application to false brinelling in thrust bearings
(Elsevier Ltd., 2021)Radial fretting is defined as the damage caused by the relative motion of a ball under a variable normal load. The conducted experimental tests proved the existence of this damage even in contacting bodies with similar ... -
Novel High Accuracy Resolver Topology for Space Applications
(MDPI, 2021)In recent years, the space industry has experienced a significant change mainly due to the incursion of private companies, which has shaken up the sector. This new situation allows for a reduction regarding the reliability ... -
A novel indirect cryogenic cooling system for improving surface finish and reducing cutting forces when turning ASTM F-1537 cobalt-chromium alloys
(Springer, 2020)This paper presents a novel indirect cryogenic cooling system, employing liquid nitrogen (LN2) as a coolant for machining the difficult-to-cut ASTM F-1537 cobalt-chromium (CoCr) alloy. The prototype differs from the already ... -
A novel machine learning‐based methodology for tool wear prediction using acoustic emission signals
(MDPI, 2021)There is an increasing trend in the industry of knowing in real-time the condition of their assets. In particular, tool wear is a critical aspect, which requires real-time monitoring to reduce costs and scrap in machining ...
