This document describes an adaptive Kalman filter implementation for video denoising. It proposes processing video frames independently in the spatial domain and then applying an adaptive temporal Kalman filter to each pixel sequence to reduce complexity. An adaptive Kalman filter is used which can adjust its parameters based on noise statistics variations and detected motions between frames. The algorithm is tested through MATLAB simulation on sample video frames, showing it produces a denoised output with reduced noise while still responding to changes in pixel values over time. The design considerations for FPGA implementation focus on using fixed-point arithmetic and shift operations instead of division to optimize for the FPGA hardware.
Paper presented @Tyrrhenian Workshop on the Internet of Things 2009
ZigBee is probably the most popular IEEE 802.15.4 implementation used for Wireless Sensor Networks (WSN). The radio communication can also be used for localization purposes using fixed network devices as reference points. In this paper, the authors describe a procedure for automatically configuring a ZigBee-based localization appli-cation with environment-optimized parameters.
Direction of Arrival Estimation Based on MUSIC Algorithm Using Uniform and No...IJERA Editor
In signal processing, the direction of arrival (DOA) estimation denotes the direction from which a propagating wave arrives at a point, where a set of antennas is located. Using the array antenna has an advantage over the single antenna in achieving an improved performance by applying Multiple Signal Classification (MUSIC) algorithm. This paper focuses on estimating the DOA using uniform linear array (ULA) and non-uniform linear array (NLA)of antennas to analyze the performance factors that affect the accuracy and resolution of the system based on MUSIC algorithm. The direction of arrival estimation is simulated on a MATLAB platform with a set of input parameters such as array elements, signal to noise ratio, number of snapshots and number of signal sources. An extensive simulation has been conducted and the results show that the NLA with DOA estimation for co-prime array can achieve an accurate and efficient DOA estimation
Intelligent Traffic light detection for individuals with CVDSwaroop Aradhya M C
This is a technical seminar ppt on mobile standards based traffic light detection which can be used as an assistive device in vehicles for individuals with Color vision deficiency
Source : “Mobile Standards-Based Traffic Light Detection in Assistive Devices for Individuals with Color-Vision Deficiency” An IEEE Transaction on Intelligent Transport Systems 2014
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
Design and Implementation of Polyphase based Subband Adaptive Structure for N...Pratik Ghotkar
With the tremendous growth in the Digital Signal processing technology, there are many techniques available to remove noise from the speech signals which is used in the speech processing. Widely used LMS algorithm is modified with much advancement but still there are many limitations are introducing. This paper consist of a new approach i.e. subband adaptive processing for noise cancelation in the speech signals. Subband processing employs the multirate signal processing. The polyphase based subband adaptive implementation finds better results in term of MMSE , PSNR and processing time; also the synthesis filter bank is works on the lower data rate which reduces the computational Burdon as compare to the direct implementation of Subband adaptive filter. The normalized least mean squares (NLMS) algorithm is a class of adaptive filter used.
DESIGN REALIZATION AND PERFORMANCE EVALUATION OF AN ACOUSTIC ECHO CANCELLATIO...sipij
Nowadays, in the field of communications, AEC (acoustic echo cancellation) is truly essential with respect
to the quality of multimedia transmission. In this paper, we designed and developed an efficient AEC based
on adaptive filters to improve quality of service in telecommunications against the phenomena of acoustic
echo, which is indeed a problem in hands-free communications.The main advantage of the proposed algorithm is its capacity of tracking non-stationary signals such as acoustic echo. In this work the acoustic echo cancellation (AEC) is modeled using a digital signal
processing technique especially Simulink Blocksets. The algorithm’s code is generated in Matlab Simulink
programming environment. At simulation level, results of simulink implementation prove that module
behavior is realistic when it comes to cancellation of echo in hands free communication using adaptive algorithm.Results obtained with our algorithm in terms of ERLE criteria are confronted to IUT-T recommendation
G.168.
The document discusses engine exhaust emissions, including the formation of nitrogen oxides, hydrocarbons, carbon monoxide, and particulate emissions. It describes methods for controlling these emissions, such as three-way catalytic converters and particulate traps. The document also covers equipment for measuring emissions of hydrocarbons, carbon monoxide, nitrogen oxides, smoke, and particulate matter. These include chemiluminescence, NDIR, and flame ionization methods for gases, as well as obscuration, continuous filter, Hartridge smokemeter, spot filtering, and Bosch smokemeter techniques for smoke and particulate measurements.
This document describes an adaptive Kalman filter implementation for video denoising. It proposes processing video frames independently in the spatial domain and then applying an adaptive temporal Kalman filter to each pixel sequence to reduce complexity. An adaptive Kalman filter is used which can adjust its parameters based on noise statistics variations and detected motions between frames. The algorithm is tested through MATLAB simulation on sample video frames, showing it produces a denoised output with reduced noise while still responding to changes in pixel values over time. The design considerations for FPGA implementation focus on using fixed-point arithmetic and shift operations instead of division to optimize for the FPGA hardware.
Paper presented @Tyrrhenian Workshop on the Internet of Things 2009
ZigBee is probably the most popular IEEE 802.15.4 implementation used for Wireless Sensor Networks (WSN). The radio communication can also be used for localization purposes using fixed network devices as reference points. In this paper, the authors describe a procedure for automatically configuring a ZigBee-based localization appli-cation with environment-optimized parameters.
Direction of Arrival Estimation Based on MUSIC Algorithm Using Uniform and No...IJERA Editor
In signal processing, the direction of arrival (DOA) estimation denotes the direction from which a propagating wave arrives at a point, where a set of antennas is located. Using the array antenna has an advantage over the single antenna in achieving an improved performance by applying Multiple Signal Classification (MUSIC) algorithm. This paper focuses on estimating the DOA using uniform linear array (ULA) and non-uniform linear array (NLA)of antennas to analyze the performance factors that affect the accuracy and resolution of the system based on MUSIC algorithm. The direction of arrival estimation is simulated on a MATLAB platform with a set of input parameters such as array elements, signal to noise ratio, number of snapshots and number of signal sources. An extensive simulation has been conducted and the results show that the NLA with DOA estimation for co-prime array can achieve an accurate and efficient DOA estimation
Intelligent Traffic light detection for individuals with CVDSwaroop Aradhya M C
This is a technical seminar ppt on mobile standards based traffic light detection which can be used as an assistive device in vehicles for individuals with Color vision deficiency
Source : “Mobile Standards-Based Traffic Light Detection in Assistive Devices for Individuals with Color-Vision Deficiency” An IEEE Transaction on Intelligent Transport Systems 2014
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
Design and Implementation of Polyphase based Subband Adaptive Structure for N...Pratik Ghotkar
With the tremendous growth in the Digital Signal processing technology, there are many techniques available to remove noise from the speech signals which is used in the speech processing. Widely used LMS algorithm is modified with much advancement but still there are many limitations are introducing. This paper consist of a new approach i.e. subband adaptive processing for noise cancelation in the speech signals. Subband processing employs the multirate signal processing. The polyphase based subband adaptive implementation finds better results in term of MMSE , PSNR and processing time; also the synthesis filter bank is works on the lower data rate which reduces the computational Burdon as compare to the direct implementation of Subband adaptive filter. The normalized least mean squares (NLMS) algorithm is a class of adaptive filter used.
DESIGN REALIZATION AND PERFORMANCE EVALUATION OF AN ACOUSTIC ECHO CANCELLATIO...sipij
Nowadays, in the field of communications, AEC (acoustic echo cancellation) is truly essential with respect
to the quality of multimedia transmission. In this paper, we designed and developed an efficient AEC based
on adaptive filters to improve quality of service in telecommunications against the phenomena of acoustic
echo, which is indeed a problem in hands-free communications.The main advantage of the proposed algorithm is its capacity of tracking non-stationary signals such as acoustic echo. In this work the acoustic echo cancellation (AEC) is modeled using a digital signal
processing technique especially Simulink Blocksets. The algorithm’s code is generated in Matlab Simulink
programming environment. At simulation level, results of simulink implementation prove that module
behavior is realistic when it comes to cancellation of echo in hands free communication using adaptive algorithm.Results obtained with our algorithm in terms of ERLE criteria are confronted to IUT-T recommendation
G.168.
The document discusses engine exhaust emissions, including the formation of nitrogen oxides, hydrocarbons, carbon monoxide, and particulate emissions. It describes methods for controlling these emissions, such as three-way catalytic converters and particulate traps. The document also covers equipment for measuring emissions of hydrocarbons, carbon monoxide, nitrogen oxides, smoke, and particulate matter. These include chemiluminescence, NDIR, and flame ionization methods for gases, as well as obscuration, continuous filter, Hartridge smokemeter, spot filtering, and Bosch smokemeter techniques for smoke and particulate measurements.
ICR is a company located in Barcelona that provides acoustic and vibration engineering services. It was founded in 1995 by professionals with over 20 years of experience in vibro-acoustics. ICR offers solutions to noise and vibration problems for industries like railways, automotive, wind power, and construction. The company has PhD's, physicists, and engineers on staff that allow it to analyze vibro-acoustic problems from different perspectives. ICR provides services like noise measurements, vibration analysis, environmental impact studies, and software development to solve clients' noise and vibration issues.
ICR is a company that provides acoustic and vibration engineering services. It was established in 1995 by experts in acoustics and has experience with national and international projects. ICR uses both theoretical knowledge and practical testing to understand problems and find solutions. It has up to 48 channels to simultaneously measure noise and vibrations in real-time. ICR provides services across various sectors including railway, wind power, and building acoustics.
ICR provides acoustic and vibration engineering services, including predictive studies for railway infrastructure projects. Some key services include designing anti-vibration solutions, predicting vibration levels from different track types, noise certification testing, and measuring track roughness. ICR has experience conducting vibration control and impact studies during the construction and operation of various railway projects in Europe. Their methodology involves measurements, predictive techniques, analyzing noise transmission, and providing efficient solutions tailored to each client's needs.
This document discusses noise, vibration, and harshness (NVH) in automotive vehicles. It begins by introducing NVH as an important issue for environmental noise pollution and passenger comfort. Next, it describes how NVH affects vehicle image and must be considered in design. It then outlines experimental evaluation of vehicle NVH levels while stationary and driving. The document proceeds to define noise, vibration, and harshness. It describes how vibrations and sound are transmitted and examples of transmission paths. It also outlines various NVH testing techniques like sound intensity mapping and transfer path analysis. Finally, it discusses vehicle sound quality metrics like articulation index, loudness, and sharpness.
Vibration Analysis of an Automotive Silencer for Reduced Incidence of Failurepaperpublications3
Abstract: The Engine exhaust is the major source for contributing noise in automobile. There are many challenges in designing the muffler system as size, engine back pressure, noise level, emission norms and also cost. Sufficient insertion loss at engine frequency and first few harmonics are important. Recent efficient muffler systems are designed considering linear plane wave theory using transfer matrix method. Development of fibrous material strands that is used in hot exhaust system without binders has led to use of combination of muffler and exhaust system. Particulate matter filters and air cleaners also modified acoustically. For all these to happen exhaust muffler designers need simple and fast modeling tool, especially at the initial stages. FEM and Boundary element methods are time consuming. This paper is about plane wave based models such as transfer matrix method that has advantage of building fast prototype for muffler design, find out transmission loss and compared with experimental setup.
This document presents a study on using acoustic signal analysis to detect faults in bearings. The study develops an experimental setup to acquire acoustic signals from bearings under different conditions, including with and without defects. The acoustic signals are processed using techniques like fast Fourier transforms and wavelet transforms to extract information about faults. Signals are analyzed from bearings with no defects, misalignment, looseness, missing balls, and combinations of defects. Results show the acoustic signal energy at different frequencies for healthy and faulty bearings. This acoustic signal analysis technique can be used to detect bearing faults and failures.
Product and measurement solutions for the railway industry
Measurement system for train vibration and sound
Environment sound measurement
https://www.n-denkei.com/singapore/inquiry/
This document summarizes a seminar presentation on fast convergence algorithms for active noise control. Active noise control uses opposite sound waves to cancel out unwanted noise in real-time. Fast convergence algorithms are essential for this to work efficiently. The presentation discusses objectives like noise cancellation and improving vehicle comfort. It explains the working principle of adaptive filters and algorithms. Applications include noise reduction in vehicles, aircraft, factories and homes. The conclusion is that these algorithms have huge potential to create a quieter world by reducing noise in various environments.
A review of Noise Suppression Technology for Real-Time Speech EnhancementIRJET Journal
This document summarizes research on noise suppression technology for real-time speech enhancement. It discusses how noise suppression has gained interest due to advances in deep learning techniques. It describes how noise suppression works by using multiple microphones to capture audio signals, which are then processed using algorithms to separate and suppress background noises while enhancing speech. Deep learning has achieved promising results for noise suppression by training models to detect human voice between different input noises. The document also reviews conventional uses of noise suppression in devices and limitations, and how using deep learning allows for more effective separation of noise from sound signals.
ACTIVE NOISE CANCELLATION IN A LABORATORY DUCT USING FUZZY LOGIC AND NEURAL ...Rishikesh .
The main goal of this paper is to present a simulation scheme to simulate an adaptive filter using LMS (Least mean square) adaptive algorithm for noise cancellation. The main objective of the noise cancellation is to estimate the noise signal and to subtract it from original input signal plus noise signal and hence to obtain the noise free signal. There is an alternative method called adaptive noise cancellation for estimating a speech signal corrupted by an additive noise or interference. This method uses a primary input signal that contains the speech signal and a reference input containing noise. The reference input is adaptively filtered and subtracted from the primary input signal to obtain the estimated signal. In this method the desired signal corrupted by an additive noise can be recovered by an adaptive noise canceller using LMS (least mean square) algorithm. This adaptive noise canceller is useful to improve the S/N ratio. Here we estimate the adaptive filter using Labview /MATLAB/SIMULINK environment . For achieving the goal we also use modern algorithms like ANFIS, FIS and Neural Network and compare the PSD of all the algorithms.
Comparative Analysis of Natural Frequency of Transverse Vibration of a Cantil...IRJET Journal
This document presents a comparative analysis of the natural frequency of transverse vibration of a cantilever beam using analytical and experimental methods. Analytical calculations are performed to determine the natural frequencies of the first three modes of vibration of the cantilever beam. Experimental testing is conducted using an impact hammer, accelerometer, and FFT analyzer. The natural frequencies measured experimentally are found to be close to those calculated analytically. The results demonstrate that analytical and experimental methods can both accurately determine the natural frequencies of a cantilever beam's vibration.
The document describes an active noise control system implemented using the LabVIEW platform to reduce noise in an acoustic waveguide. The system uses a feedforward FxLMS algorithm with additional filtering to suppress acoustic feedback between the control loudspeaker and reference microphone. Experimental results show the system achieved up to 50 dB reduction of a single tone noise and 12 dB reduction of multi-tone noise in a 1m duct. While effective at lower frequencies below 500-1000 Hz, active noise control has physical limitations for higher frequency noise cancellation due to the size of acoustic wavelengths involved.
IRJET- Wave Ultrasonic Testing and how to Improve its Characteristics by Vary...IRJET Journal
This document provides an overview of wave ultrasonic testing and how varying operational parameters can improve its characteristics. It discusses how guided wave testing using low frequencies below 100 kHz can be used to inspect pipes over long distances for corrosion detection. Commercial systems have been developed that use arrays of piezoelectric transducers to generate and control axially symmetric modes to identify non-symmetric features indicating defects. Varying the test frequency affects sensitivity, resolution, and range, with lower frequencies providing longer ranges but reduced resolution.
Acoustic problems in an environment has gained more attention due to the tremendous growth of technology that lead to noisy engines, heavy machineries, pumps, air condition, music and other noise sources. Normally human ears are very sensitive at audio range (lower frequency) from 20 Hz to 20 kHz. So, any sound within these frequencies has the tendency to disturb human hearing and can be classified as noise. The reduction of acoustic noise in speech has been investigated for many Years .The major application of noise reduction is by improving voice communication and eliminating the noise using adaptive noise canceler.
IRJET- Influence of Noise and Testing Vibration to Comfort in Diesel Engi...IRJET Journal
This document discusses research into the influence of noise and vibration on passenger comfort in idling diesel engine cars. Researchers conducted tests where subjects were exposed to noise, vibration, or both, and asked to evaluate sound, vibration, or overall annoyance. The results showed that vibration has a small but significant influence on sound perception. When evaluating overall annoyance, some subjects based their judgments mostly on vibration while others considered noise more important. Reducing noise and vibration in vehicles requires approaches like decreasing source strengths, interrupting transmission paths, and absorbing energy. The interaction of sound and vibration is complex and depends on stimulus levels and ranges.
This document summarizes the evolution of experimental modal analysis techniques for civil engineering structures. It discusses the progression from input-output modal identification, which relies on controlled force excitation and measurement of the response, to output-only modal identification, which analyzes ambient vibration response alone. A variety of equipment for exciting large civil structures is described, from eccentric mass vibrators to servo-hydraulic shakers. The document also provides an overview of common input-output modal identification methods in both the time and frequency domains.
TWS earphones are also known as True Wireless Stereo (True Wireless Stereo) true wireless stereo. They are mainly connected to mobile phones through Bluetooth modules without wires.
The early Bluetooth technology was immature, resulting in poor sound quality, which was only suitable for business calls. After 2008, the Bluetooth A2DP protocol began popularizing, and the first batch of consumer-grade Bluetooth headsets was born. (Not True Wireless)
In 2014, the first "True Wireless" Bluetooth headset was launched. Still, the market response was not great, until after the release of Apple's Air pods in 2016, accompanied by the birth of Bluetooth 5.0 and 5.1 technology, the audio transmission loss was compressed to the minimum, the "True Wireless" Bluetooth smart headset has ushered in the outbreak.The audio quality control of TWS is also increasingly valued by the market. And audio test for TWS earphone is more and more important in the manufacture process.
In audio test for TWS earphone, different noise cancellation solutions bring users a different noise cancellation experience, MegaSig can provide customers and partners with a complete test instrument and system solutions from research and development to mass production.
Noise analysis & qrs detection in ecg signalsHarshal Ladhe
The document discusses removing noise from ECG signals using adaptive filtering techniques. It focuses on using an LMS algorithm to remove powerline interference at 50 Hz from ECG signals. The LMS algorithm is tested with different filter tap lengths and step sizes to determine the optimal parameters for noise cancellation. Additional filtering using notch filters is also explored to remove harmonics and high frequency noise. The results show that the LMS algorithm effectively removes powerline interference from ECG signals.
A Study of Ball Bearing’s Crack Using Acoustic Signal / Vibration Signal and ...INFOGAIN PUBLICATION
The field of fault diagnostic in rotating machinery is vast, including the diagnosis of items such as rotating shafts, rolling element bearings, couplings, gears and so on. Vibration analysis is the main condition monitoring technique for machinery maintenance. The different types of faults that are observed in these areas and the methods of their diagnosis are accordingly great, including vibration analysis, model-based techniques, and statistical analysis and artificial intelligence techniques. However, they have difficulties with certain applications whose behavior is non-stationary and transient nature.
A Study of Ball Bearing’s Crack Using Acoustic Signal / Vibration Signal and ...INFOGAIN PUBLICATION
The field of fault diagnostic in rotating machinery is vast, including the diagnosis of items such as rotating shafts, rolling element bearings, couplings, gears and so on. Vibration analysis is the main condition monitoring technique for machinery maintenance. The different types of faults that are observed in these areas and the methods of their diagnosis are accordingly great, including vibration analysis, model-based techniques, and statistical analysis and artificial intelligence techniques. However, they have difficulties with certain applications whose behavior is non-stationary and transient nature.
ICR is a company that provides acoustic engineering solutions and services. It was founded in 1995 and has over 20 years of experience in sound and vibration analysis. ICR focuses on research and development, engineering services, and training. It works with clients in various sectors including industry, transportation, wind, and construction. ICR's team of experts offer solutions to noise and vibration problems through testing, modeling, and software development. The company operates internationally through partnerships and has worked on projects around the world.
ICR is a company located in Barcelona that provides acoustic and vibration engineering services. It was founded in 1995 by professionals with over 20 years of experience in vibro-acoustics. ICR offers solutions to noise and vibration problems for industries like railways, automotive, wind power, and construction. The company has PhD's, physicists, and engineers on staff that allow it to analyze vibro-acoustic problems from different perspectives. ICR provides services like noise measurements, vibration analysis, environmental impact studies, and software development to solve clients' noise and vibration issues.
ICR is a company that provides acoustic and vibration engineering services. It was established in 1995 by experts in acoustics and has experience with national and international projects. ICR uses both theoretical knowledge and practical testing to understand problems and find solutions. It has up to 48 channels to simultaneously measure noise and vibrations in real-time. ICR provides services across various sectors including railway, wind power, and building acoustics.
ICR provides acoustic and vibration engineering services, including predictive studies for railway infrastructure projects. Some key services include designing anti-vibration solutions, predicting vibration levels from different track types, noise certification testing, and measuring track roughness. ICR has experience conducting vibration control and impact studies during the construction and operation of various railway projects in Europe. Their methodology involves measurements, predictive techniques, analyzing noise transmission, and providing efficient solutions tailored to each client's needs.
This document discusses noise, vibration, and harshness (NVH) in automotive vehicles. It begins by introducing NVH as an important issue for environmental noise pollution and passenger comfort. Next, it describes how NVH affects vehicle image and must be considered in design. It then outlines experimental evaluation of vehicle NVH levels while stationary and driving. The document proceeds to define noise, vibration, and harshness. It describes how vibrations and sound are transmitted and examples of transmission paths. It also outlines various NVH testing techniques like sound intensity mapping and transfer path analysis. Finally, it discusses vehicle sound quality metrics like articulation index, loudness, and sharpness.
Vibration Analysis of an Automotive Silencer for Reduced Incidence of Failurepaperpublications3
Abstract: The Engine exhaust is the major source for contributing noise in automobile. There are many challenges in designing the muffler system as size, engine back pressure, noise level, emission norms and also cost. Sufficient insertion loss at engine frequency and first few harmonics are important. Recent efficient muffler systems are designed considering linear plane wave theory using transfer matrix method. Development of fibrous material strands that is used in hot exhaust system without binders has led to use of combination of muffler and exhaust system. Particulate matter filters and air cleaners also modified acoustically. For all these to happen exhaust muffler designers need simple and fast modeling tool, especially at the initial stages. FEM and Boundary element methods are time consuming. This paper is about plane wave based models such as transfer matrix method that has advantage of building fast prototype for muffler design, find out transmission loss and compared with experimental setup.
This document presents a study on using acoustic signal analysis to detect faults in bearings. The study develops an experimental setup to acquire acoustic signals from bearings under different conditions, including with and without defects. The acoustic signals are processed using techniques like fast Fourier transforms and wavelet transforms to extract information about faults. Signals are analyzed from bearings with no defects, misalignment, looseness, missing balls, and combinations of defects. Results show the acoustic signal energy at different frequencies for healthy and faulty bearings. This acoustic signal analysis technique can be used to detect bearing faults and failures.
Product and measurement solutions for the railway industry
Measurement system for train vibration and sound
Environment sound measurement
https://www.n-denkei.com/singapore/inquiry/
This document summarizes a seminar presentation on fast convergence algorithms for active noise control. Active noise control uses opposite sound waves to cancel out unwanted noise in real-time. Fast convergence algorithms are essential for this to work efficiently. The presentation discusses objectives like noise cancellation and improving vehicle comfort. It explains the working principle of adaptive filters and algorithms. Applications include noise reduction in vehicles, aircraft, factories and homes. The conclusion is that these algorithms have huge potential to create a quieter world by reducing noise in various environments.
A review of Noise Suppression Technology for Real-Time Speech EnhancementIRJET Journal
This document summarizes research on noise suppression technology for real-time speech enhancement. It discusses how noise suppression has gained interest due to advances in deep learning techniques. It describes how noise suppression works by using multiple microphones to capture audio signals, which are then processed using algorithms to separate and suppress background noises while enhancing speech. Deep learning has achieved promising results for noise suppression by training models to detect human voice between different input noises. The document also reviews conventional uses of noise suppression in devices and limitations, and how using deep learning allows for more effective separation of noise from sound signals.
ACTIVE NOISE CANCELLATION IN A LABORATORY DUCT USING FUZZY LOGIC AND NEURAL ...Rishikesh .
The main goal of this paper is to present a simulation scheme to simulate an adaptive filter using LMS (Least mean square) adaptive algorithm for noise cancellation. The main objective of the noise cancellation is to estimate the noise signal and to subtract it from original input signal plus noise signal and hence to obtain the noise free signal. There is an alternative method called adaptive noise cancellation for estimating a speech signal corrupted by an additive noise or interference. This method uses a primary input signal that contains the speech signal and a reference input containing noise. The reference input is adaptively filtered and subtracted from the primary input signal to obtain the estimated signal. In this method the desired signal corrupted by an additive noise can be recovered by an adaptive noise canceller using LMS (least mean square) algorithm. This adaptive noise canceller is useful to improve the S/N ratio. Here we estimate the adaptive filter using Labview /MATLAB/SIMULINK environment . For achieving the goal we also use modern algorithms like ANFIS, FIS and Neural Network and compare the PSD of all the algorithms.
Comparative Analysis of Natural Frequency of Transverse Vibration of a Cantil...IRJET Journal
This document presents a comparative analysis of the natural frequency of transverse vibration of a cantilever beam using analytical and experimental methods. Analytical calculations are performed to determine the natural frequencies of the first three modes of vibration of the cantilever beam. Experimental testing is conducted using an impact hammer, accelerometer, and FFT analyzer. The natural frequencies measured experimentally are found to be close to those calculated analytically. The results demonstrate that analytical and experimental methods can both accurately determine the natural frequencies of a cantilever beam's vibration.
The document describes an active noise control system implemented using the LabVIEW platform to reduce noise in an acoustic waveguide. The system uses a feedforward FxLMS algorithm with additional filtering to suppress acoustic feedback between the control loudspeaker and reference microphone. Experimental results show the system achieved up to 50 dB reduction of a single tone noise and 12 dB reduction of multi-tone noise in a 1m duct. While effective at lower frequencies below 500-1000 Hz, active noise control has physical limitations for higher frequency noise cancellation due to the size of acoustic wavelengths involved.
IRJET- Wave Ultrasonic Testing and how to Improve its Characteristics by Vary...IRJET Journal
This document provides an overview of wave ultrasonic testing and how varying operational parameters can improve its characteristics. It discusses how guided wave testing using low frequencies below 100 kHz can be used to inspect pipes over long distances for corrosion detection. Commercial systems have been developed that use arrays of piezoelectric transducers to generate and control axially symmetric modes to identify non-symmetric features indicating defects. Varying the test frequency affects sensitivity, resolution, and range, with lower frequencies providing longer ranges but reduced resolution.
Acoustic problems in an environment has gained more attention due to the tremendous growth of technology that lead to noisy engines, heavy machineries, pumps, air condition, music and other noise sources. Normally human ears are very sensitive at audio range (lower frequency) from 20 Hz to 20 kHz. So, any sound within these frequencies has the tendency to disturb human hearing and can be classified as noise. The reduction of acoustic noise in speech has been investigated for many Years .The major application of noise reduction is by improving voice communication and eliminating the noise using adaptive noise canceler.
IRJET- Influence of Noise and Testing Vibration to Comfort in Diesel Engi...IRJET Journal
This document discusses research into the influence of noise and vibration on passenger comfort in idling diesel engine cars. Researchers conducted tests where subjects were exposed to noise, vibration, or both, and asked to evaluate sound, vibration, or overall annoyance. The results showed that vibration has a small but significant influence on sound perception. When evaluating overall annoyance, some subjects based their judgments mostly on vibration while others considered noise more important. Reducing noise and vibration in vehicles requires approaches like decreasing source strengths, interrupting transmission paths, and absorbing energy. The interaction of sound and vibration is complex and depends on stimulus levels and ranges.
This document summarizes the evolution of experimental modal analysis techniques for civil engineering structures. It discusses the progression from input-output modal identification, which relies on controlled force excitation and measurement of the response, to output-only modal identification, which analyzes ambient vibration response alone. A variety of equipment for exciting large civil structures is described, from eccentric mass vibrators to servo-hydraulic shakers. The document also provides an overview of common input-output modal identification methods in both the time and frequency domains.
TWS earphones are also known as True Wireless Stereo (True Wireless Stereo) true wireless stereo. They are mainly connected to mobile phones through Bluetooth modules without wires.
The early Bluetooth technology was immature, resulting in poor sound quality, which was only suitable for business calls. After 2008, the Bluetooth A2DP protocol began popularizing, and the first batch of consumer-grade Bluetooth headsets was born. (Not True Wireless)
In 2014, the first "True Wireless" Bluetooth headset was launched. Still, the market response was not great, until after the release of Apple's Air pods in 2016, accompanied by the birth of Bluetooth 5.0 and 5.1 technology, the audio transmission loss was compressed to the minimum, the "True Wireless" Bluetooth smart headset has ushered in the outbreak.The audio quality control of TWS is also increasingly valued by the market. And audio test for TWS earphone is more and more important in the manufacture process.
In audio test for TWS earphone, different noise cancellation solutions bring users a different noise cancellation experience, MegaSig can provide customers and partners with a complete test instrument and system solutions from research and development to mass production.
Noise analysis & qrs detection in ecg signalsHarshal Ladhe
The document discusses removing noise from ECG signals using adaptive filtering techniques. It focuses on using an LMS algorithm to remove powerline interference at 50 Hz from ECG signals. The LMS algorithm is tested with different filter tap lengths and step sizes to determine the optimal parameters for noise cancellation. Additional filtering using notch filters is also explored to remove harmonics and high frequency noise. The results show that the LMS algorithm effectively removes powerline interference from ECG signals.
A Study of Ball Bearing’s Crack Using Acoustic Signal / Vibration Signal and ...INFOGAIN PUBLICATION
The field of fault diagnostic in rotating machinery is vast, including the diagnosis of items such as rotating shafts, rolling element bearings, couplings, gears and so on. Vibration analysis is the main condition monitoring technique for machinery maintenance. The different types of faults that are observed in these areas and the methods of their diagnosis are accordingly great, including vibration analysis, model-based techniques, and statistical analysis and artificial intelligence techniques. However, they have difficulties with certain applications whose behavior is non-stationary and transient nature.
A Study of Ball Bearing’s Crack Using Acoustic Signal / Vibration Signal and ...INFOGAIN PUBLICATION
The field of fault diagnostic in rotating machinery is vast, including the diagnosis of items such as rotating shafts, rolling element bearings, couplings, gears and so on. Vibration analysis is the main condition monitoring technique for machinery maintenance. The different types of faults that are observed in these areas and the methods of their diagnosis are accordingly great, including vibration analysis, model-based techniques, and statistical analysis and artificial intelligence techniques. However, they have difficulties with certain applications whose behavior is non-stationary and transient nature.
ICR is a company that provides acoustic engineering solutions and services. It was founded in 1995 and has over 20 years of experience in sound and vibration analysis. ICR focuses on research and development, engineering services, and training. It works with clients in various sectors including industry, transportation, wind, and construction. ICR's team of experts offer solutions to noise and vibration problems through testing, modeling, and software development. The company operates internationally through partnerships and has worked on projects around the world.
ICR es una empresa de ingeniería especializada en el control del ruido y las vibraciones que ofrece servicios de consultoría, investigación y desarrollo, y formación. Fundada en 1995 por expertos en acústica del automóvil, ICR se ha expandido a otros sectores como la construcción, industria, eólica y ferrocarril. El equipo de ICR está compuesto por ingenieros con experiencia en el desarrollo de nuevos métodos de análisis vibroacústicos y la solución de problemas reales de clientes a n
El documento describe los servicios de ingeniería acústica y vibraciones que ofrece ICR para infraestructuras ferroviarias. ICR realiza estudios predictivos de niveles vibratorios, ruido y diseño de soluciones anti-vibratorias. También realiza mediciones de vibraciones durante la construcción de vías para controlar el impacto y previsiones de vibraciones una vez en servicio para aplicar soluciones que cumplan los límites normativos.
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SOME-ECO es un proyecto que estudia la correlación entre el ruido ambiental y las variables meteorológicas con el objetivo de mejorar los métodos de medición y previsión del ruido ambiental a largo plazo. El proyecto realizará mediciones del ruido y las condiciones meteorológicas en cinco zonas durante un año y busca beneficiar a empresas eólicas al proporcionar una caracterización más precisa del ruido ambiental.
The ATPA procedure involves 3 main steps: 1) Performing a static test to measure the transfer functions between inputs and outputs, 2) Recording operating vibration data, and 3) Using the transfer functions from step 1 and vibration data from step 2 to compute the transmission paths between subsystems through advanced signal processing techniques.
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2. “Far better an approximate answer to the right question,
which is often vague, than an exact answer to the wrong
question, which can always be made precise.”
John W. Tukey
Right questions lead to right answers
“I am not bound to swear allegiance to the dogmas of any
master.”
Horace
The good thing of a problem without an obvious
Solution is the pleasure in finding it
“I support that symbiogenesis is the result of a long time
coexistence and that is the main source of evolutionary
novelty in all superior non-bacterian organisms.”
Lynn Margulis
Fluent communication is the key to progress
3. Analyser FFT 32 channels
A WORK METHOD
Measurements in Real Time
History
Ingeniería para el Control del Ruido (ICR) is a
company located in Barcelona dedicated to
solving noise and vibrations problems. Foun-
ded in 1995 by professionals with more than
20 year of experience in the field of vibro-
acoustics, ICR offers recent analysis methods
for railways, automotive, wind power, indus-
try and civil engineering sectors.
The company’s goal has always been to offer
the right and most efficient solution for each
vibro-acoustic problem. To do so, most of
ICR efforts have been focused on R+D, with
the objective to develop new predictive and
analysis methods.This company innovative
profile has allowed ICR to take part in nume-
rous highly technological projects, both natio-
nal and international. In some cases, these
projects were focused on a technology trans-
fer from ICR to the main European rolling
stock manufacturers.
The company staff is formed by PhD, physi-
cistsand engineers. This combined knowled-
ge and experience allows the company to
analyze any vibro-acoustic problem from a
global and specialized point of view. The re-
sult is always a good diagnostic of the noise
and vibration problema and the proposal of
the best solution.
Solutions to noise and vibration
problems
ICR offers solutions to noise and problems of
its customers. This can be done either by
solving the problems once they are detected,
or what is better, by trying to prevent and
avoid them at the product design stage. Eve-
ry problem receives an individual attention
and the best analysis options and proceeding
alternatives are chosen for it. This includes
the use of standard engineering methods or
the use of ICR developed methods and analy-
sis techniques.
ICR includes acoustics studies, noise measu-
rements, vibrations analysis, environmental
impact studies, noise maps, software deve-
lopment, acoustic insulation studies, acoustic
barrier design, noise and vibration analysis
paths, etc.
ICR has up to 48 channels to measure noise
and vibrations simultaneously, with the
required accelerometers and microphones.
All these elements analyse the signal
according to the frequency and in real time
— they can analyse spectra, transfer func-
tions, coherence...
The tests required in ICR can be performed
effectively with the goal of finding solutions
for real problems of noise and vibration. This
is possible thanks to the simultaneous con-
trol of a large amount of measurement
points.
Our commitment is to always guarantee the
best solution for each vibro-acoustic prob-
lem. The experience acquired working for
more than 20 years has shown us that each
problem of sound and vibration is unique and
requires a right answer. For this reason,
large part of the company’s investments are
made in research and development in order
to always offer an efficient solution for your
problem of noise and vibration.
4. Train vibroacoustic test
ICR success relies on five main points:
• Our own prediction methods, based on
real operational conditions measure-
ments, reduce the need for many theo-
retical assumptions.
• The ability to analyse both the airborne
and the structure-borne noise contribu-
tions. In addition to the noise source
contributions (Transmission Path Ana-
lysis) we can quantify the noise and
vibration transmission paths followed
from the sources to each subsystem
(Advanced Transmission Path Analy-
sis).
• Very short response time.
• Really low prices.
• Absolute transparency of the used con-
cepts and methodology.
The final result: a complete Know-How for the
train manufacturer. Once introduced in the
production process, it provides a very useful
and reliable knowledge database for the next
train generation.
This is the way ICR proceeds. A detailed vi-
broacoustic test is performed in a basis train
that will serve as the starting point for the
study of the new one. With the obtained re-
sults we have all the necessary information to
predict the new train’s acoustic behaviour.
Numerical and analytical methods are then
used to evaluate any design modification in-
volving materials and/or structural changes.
How much noise radiates each panel?
Once the test has been performed, we obtain
the noise contribution of each panel or sub-
system (window, door, floor...) to one or seve-
ral control microphones placed at any loca-
tion (Passengers and Vestibule Sectors, Dri-
ver Cab ...). The information is obtained for
any desired train’s real time operational con-
dition.
This allows us to apply statistical methods to
the results. A statistical approach is impor-
tant because many vibroacoustic inputs re-
main unknown when making measurements
(e.g. rail roughness or topography). Simple
approaches commonly used for these inputs
may lead to noise prediction errors.
Knowing each subsystem noise
contribution not only allows us to sort
the priorities of the modifications, but
may help to reduce the
manufacturing cost.
TRAIN VIBROACOUSTIC TEST
For any journey, we can also obtain the noise
contribution from the bogie connection
points to every control microphone. Informa-
tion is given, as usual, for the whole audible
frequency range.
The train manufacturer is then able to decide
the convenience of modifying the bogie con-
nection system.
Moreover, he will be able to prioritise all ne-
cessary changes on the basis of a clear nu-
merical criterion, knowing the improvement
obtained after each design modification. The
same results can be given for any auxiliary
equipment connected to the coach.
An example of structural excitation.
5. Evaluation of modifications
Once all tests have been performed, we can
calculate by means of numerical and analyti-
cal methods the noise changes that a design
modification will produce.
For instance, as we know all panel contribu-
tions for the initial basis train as well as the
transmission loss differences between the old
and new panels, we are able to calculate the
panel contributions in the new train.
Once all contributions are added we can ob-
tain the overall noise spectrum at any control
microphone for the new train.
The result: a complete acoustic model
The final result consists of a computational
acoustic model that includes:
• All modifications considered in the new
train project, as well as those sugges-
ted by ICR.
• The whole noise contributions of the
new train subsystems.
• Active framework: it is possible to acti-
vate/deactivate the modifications in
order to see their effect on the overall
noise.
• New modifications can be introduced in
the model obtaining the corresponding
new noise values.
In case of measurements being made for the
train running inside a tunnel, and if free-field
results are needed for the new train (or vice-
versa), a new model can be built to simulate
these circumstances. The new model is ba-
sed on the calculus of the parietal noise diffe-
rences between both cases.
Which are the air-borne and structure
borne noise contributions from each
panel?
We are able to distinguish between interior
noise air-borne and structure borne contribu-
tions from each panel. i.e we can divide the
noise radiated from a panel into a structural
component arising from the bogie and an
aerial component from the parietal noise
field.
Further information
The results obtained from tests give us a lar-
ge amount of information, which can be used
to verify the reliability of the used procedure.
Among them:
• Comparison between the overall dBA
reconstructed SPL (Sound Pressure
Level) and the measured one.
• Comparison between the reconstructed
spectra during a whole journey and the
measured one.
• Comparison between the overall dBA
SPL and the structure-borne overall
contribution.
As observed, we can perform a com-
plete vibroacoustic test of the train.
This allows us to quantify all sound
sources as well as noise transmission
paths. A very clear characterisation of
the train vibroacoustic behaviour is
then obtained.
As a final result we obtain: an interac-
tive complete acoustic model of the
train, which allows to see the effects
of any design modification.
TRAIN VIBROACOUSTIC TEST
Experimental setup.
6. ICR always use the most appropriate analysis
tools in order to solve a given problem and
applies the latest theoretical developments.
This demands a continuous learning process
in several areas, which allows us to constan-
tly improve our predictions.
At ICR we commonly make use of the latest
developments on.
• Advanced Transmission Path
• Analysis Finite Element Methods
• Boundary Element Methods
• Ray methods
• Vibro-acoustic responses
• Rolling noise prediction
• Squeal noise prediction
• Computational aeroacoustics
• Statistical Energy Analysis
Rolling and squeal noise
Given the geometry of the wheels, rails, their
materials and some general train data, we
can calculate (for a specified wheel&rail
roughness spectrum level) the rail and wheel
SWL (Sound Watt Level), and the SPL and
equivalent SPL at any distance.
After some measurements, we can calculate
the wheel dominant mode that controls the
limit cycle arisin from the wheel/rail non-
linear interaction in curves. This generates
the well-known problem of squeal noise.
Tools and theory for complete
analysis
TOOLS AND THEORY FOR COMPLETE ANALYSIS
Numerical methods
In addition to analytical methods, numerical
methods are nowadays essential for vibroa-
coustic predictions. Finite Element Methods
(FEM), Boundary Element Methods (BEM)
and Ray Methods are commonly used at ICR
in order to preview vibroacoustic problems in
the design process of the train.
The coach dynamic response to the motor
and auxiliary equipment inputs can be eva-
luated. Structural modifications can then be
proposed and their effects computed. The
corresponding noise radiation to the train
interior can also be calculated.
The upper figure shows a coach dynamic res-
ponse to a diesel engine supported by the
lateral crossbars of the motor frame in next
figure.
Some data and computations for rolling noise
prediction. Noise prediction using a ray method.
Motor frame.
7. ICR has incorporated the latest advances in
CFD (Computational Fluid Dynamics) and is
extending its abilities in order to perform
CAA (Computational Aeroacoustics) predic-
tions. This is a quickly evolving computatio-
nal field and reliable engineering CAA predic-
tions were out of the scope of any computer a
few years ago.
However, the rapid advances in computatio-
nal and numerical techniques allow us to
start addressing complex engineering pro-
blems.
ICR is able to make interior noise predictions
due to the aerodynamic loading in high-speed
trains. The process is threefold: first, a FEM-
CFD computation of the turbulent airflow
around the train surface is performed.
The pressure surface distribution due to the
aerodynamic loading is then obtained. Se-
cond, the previous results are used as inputs
of a FEM model of the train roof and/or fai-
ring (laterals and floor can also be conside-
red) and its dynamic response is evaluated.
Finally, in the third step a BEM method, or an
equivalent one, is used to predict the noise
radiated by the train roof vibration.
The aerodynamic loading noise contribution
is included in the train acoustic model and
its effect can be compared with the contribu-
tions of the train classical noise sources
(rolling noise, motor, auxiliary equipment…).
Computational fluid dynamics and com-
putational aeroacoustics
TOOLS AND THEORY COMPLETE ANALYSIS
Other Services
ICR offers many other services in the Railway
Sector. Our aim is to cover all the project as-
pects that may affect the vibroacoustic be-
haviour of the train. These include (among
others):
• Subsuppliers pursuit for a guarantee
that the auxiliary equipment fulfils the
project’s technical noise and vibration
specifications.
• Main line guidance for material design
tests.
• Technical and scientific training on
acoustics and vibrations.
• Technology Transfer.
• Acoustic environmental engineering.
Pressure distribution over a train surface
Pressure and velocity fields
8. : Noise and vibration path analysis of the different compontents which form the coach proto-
type of the new AVE model of CAF, Construcciones y Auxiliar de Ferrocarriles.
Consultancy engineering services in Alstom Transport Savigliano, Italy, for a 6 month pe-
riod. Alstom Transport.
Consultancy engineering services in Alstom Transport Belford, France, for a 18 month pe-
riod. Alstom Transport.
Consultancy engineering services in Alstom Transport Savigliano, Italy, for a 12 month pe-
riod. Alstom Transport.
Definition of the acoustic and vibration specifications for the equipments from external sup-
pliers. Project: Chennai Metro. Consultancy engineering services in Alstom Transport Sao
Paulo, Brazil. Alstom Transport.
Aocustic study and protocol measurements of 4.000 (C4k), train units for NIR, North Ire-
land Railways. CAF, Construcciones y Auxiliar de Ferrocarriles.
Research project “EVS (Equipments Vibrations Specification)” design and development of a
new tool for the specification of the maximiun noise and vibration levels of auxiliary equip-
ment installed in trains . Alstom Transport.
Transmission Path Analysis of the noise and vibrations of a prototype high speed train
(AGV). Alstom Transport.
Experimental tests of vibration in the power motor system of diesel units carried out in the
laboratory of Voith in Hamburg, Germany. CAF, Construcciones y Auxiliar de Ferrocarriles.
Acoustic study and Transmission Path Analysis in a diesel 251 locomotive of Renfe.
Atenasa
Sound pressure level measurements in the AVR 121 train in order to fulfil the noise regula-
tion according to technical specifications as defined by Renfe and European regulations
(ETI). CAF, Construcciones y Auxiliar de Ferrocarriles.
Study of the influence of the flow separation and the pressure fluctuations beneath the tur-
bulent boundary layer of the new generation high speed trains AGV (Automotrice à Grande
Vitesse), France. Alstom Transport.
Experimental Modal Analysis in the power motor system of diesel units ADR. CAF, Construc-
ciones y Auxiliar de Ferrocarriles.
Noise and vibration transmission path analysis in the Chamartín railway station. Solution
consultancy. Ineco.
Vibro-acoustic numerical model of train. Advice for air conditioning and verification meas-
ures in Madrid Subway. CAF, Construcciones y Auxiliar de Ferrocarriles.
Study of the influence of the non-stationary aerodynamic load on the noise levels inside the
high speed train TAV-S104, Lanzaderas project. Spain. AlstomTransport.
Transmission Path Analysis in the cabin of two diesel units model 333 and 334 of Vossloh.
Atenasa.
Stydy of the subsystem contributions at driver’s cab interior noise. Advanced Transmission
Path Analysis (direct transference approach). Barcelona Subway, Spain. CAF, Construc-
ciones y Auxiliar de Ferrocarriles.
Study of the sound pressure levels produced by the high speed line Vitoria - Bilbao - San
Sebastián in Durango, Viscaya, when the train passes over the viaduct. Ineco.
Noise and vibration engineering projects
BACKGROUND
9. BACKGROUND
“META X: Advanced vibro-acoustic analysis in railways. The ATPA method” for Alstom
Transport. The following tasks were carried out for this project:
1. Development of the testing procedures to obtain the vibro-acoustics specifications of
the different subsystems of any train (for both internal noise contributions and external
ones with the train stationary).
2. Evaluation of the interior noise contributions of all the different subsystems of the train
under normal operating conditions
3. Evaluation of the external noise contributions of all the different subsystems of the
train for stationary operating conditions.
4. Training: ICR trained Alstom employees in the application of the ATPA procedures.
ATPA Technology transfer project for CAF, Construcciones y Auxiliar de Ferrocarriles. The
following tasks were carried out for this project:
1. Development of the testing procedures to obtain the vibro-acoustics specifications
of the different subsystems of any train (for internal noise contributions).
2. Evaluation of the interior noise contributions of all train different subsystems under
normal operating conditions.
3. Training: ICR trained CAF employees in the application of the ATPA procedures.
Design of a silencer for the exit of foul air in the Rome Subway. CAF, Construcciones y Auxi-
liar de Ferrocarriles.
META W research project: advanced vibro-acoustic analysis in the railway industry. New
technologies and calculation methods. Alstom Transport.
Complete acoustic study in the Xin Min Line train in China including ATPA testing of the
Varsaw subway. Alstom Transport. The following tasks were carried out for this project:
1. ATPA of a previous model of train (Varsaw subway).
2. Implementation of modifications in the acoustic model of the new train.
3. Interior and exterior noise forecast of the new train.
4. Noise measurements according to client requirements.
Complete acoustic study of the Nothern Spirit including ATPA testing of the Heathrow Ex-
press, United Kingdom. CAF, Construcciones y Auxiliar de Ferrocarriles. The following tasks
were carried out for this project:
1. ATPA of a previous model of train (Heathrow Express).
2. Implementation of modifications in the acoustic model of the new train.
3. Interior and exterior noise forecast of the new train.
4. Noise measurements according to client requirements.
Cabin and intercommunication doors design. Xin Min Line Train, Rep. of China. Alstom-
Transport.
Complete acoustic study of the Diesel NIR (North Ireland Railways), UK. CAF, Construc-
ciones y Auxiliar de Ferrocarriles.
Control and monitoring of the vibrations produced by the works of the AVE in the section of
Sagrera to Nus Trinitat in Barcelona. Acciona infraestructuras.