This document describes a measurement system for measuring stress distribution in concrete using ultrasound sensors. The system includes acoustic-elastic sensors that can be easily installed on structures by gluing. The sensors are connected to a transmitter unit that can measure temperature, sensor ID, and stress levels at a high rate. Data is output in real-time and can be connected to networks or cloud-based systems. The system is being used to monitor stress under bridge bearings for load distribution and structural health monitoring applications. Results show static load distributions mapped under various bearings.
This document presents a hybrid approach for real-time logo detection on mobile devices. The approach uses SIFT to initially detect logos, followed by online color calibration and moment invariants to track logos in subsequent frames. This allows for logo detection that works on different sizes and orientations in real-time. The hybrid approach detects logos within 700ms for initial detection and around 50ms for subsequent frames, providing a processing rate of 20 frames per second. The goal is to port this algorithm to mobile platforms for real-time logo detection applications.
Multispectral imaging in Forensics with VideometerLab 3Adrian Waltho
This document describes the capabilities of the VideometerLab 3 Multi-Spectral Imaging system. It captures images of samples at multiple narrow wavelength bands, allowing differentiation of materials based on their spectral signatures. Statistical analysis tools help identify subtle differences. Applications include quality control, forensic analysis, and medical diagnostics. The system provides high resolution spectral data without the complexity and cost of hyperspectral imaging.
[Ubicomp'15]SakuraSensor: Quasi-Realtime Cherry-Lined Roads Detection throug...Ubi NAIST
SakuraSensor, a system which senses and shares the information of roads with flowering cherries by leveraging car-mounted smart-phones.
Honorable Mention Award of UbiComp2015.
This document summarizes information about the sulphur-crested cockatoo, a white bird with yellow markings found in Australia and kept as pets worldwide. There are four subspecies that vary in size and crest shape. They live in large, noisy groups that forage during the day on seeds, grains, fruits and small insects. Sulphur-crested cockatoos nest communally in tree hollows and both parents help incubate their 1-3 eggs.
This document summarizes information about the sulphur-crested cockatoo, a white bird with yellow markings found in Australia and kept as pets worldwide. There are four subspecies that vary in size and crest shape. They live in large, noisy groups that forage during the day on seeds, grains, fruits and small insects. Sulphur-crested cockatoos nest communally in tree hollows and both parents help incubate their 1-3 eggs.
This document describes a measurement system for measuring stress distribution in concrete using ultrasound sensors. The system includes acoustic-elastic sensors that can be easily installed on structures by gluing. The sensors are connected to a transmitter unit that can measure temperature, sensor ID, and stress levels at a high rate. Data is output in real-time and can be connected to networks or cloud-based systems. The system is being used to monitor stress under bridge bearings for load distribution and structural health monitoring applications. Results show static load distributions mapped under various bearings.
This document presents a hybrid approach for real-time logo detection on mobile devices. The approach uses SIFT to initially detect logos, followed by online color calibration and moment invariants to track logos in subsequent frames. This allows for logo detection that works on different sizes and orientations in real-time. The hybrid approach detects logos within 700ms for initial detection and around 50ms for subsequent frames, providing a processing rate of 20 frames per second. The goal is to port this algorithm to mobile platforms for real-time logo detection applications.
Multispectral imaging in Forensics with VideometerLab 3Adrian Waltho
This document describes the capabilities of the VideometerLab 3 Multi-Spectral Imaging system. It captures images of samples at multiple narrow wavelength bands, allowing differentiation of materials based on their spectral signatures. Statistical analysis tools help identify subtle differences. Applications include quality control, forensic analysis, and medical diagnostics. The system provides high resolution spectral data without the complexity and cost of hyperspectral imaging.
[Ubicomp'15]SakuraSensor: Quasi-Realtime Cherry-Lined Roads Detection throug...Ubi NAIST
SakuraSensor, a system which senses and shares the information of roads with flowering cherries by leveraging car-mounted smart-phones.
Honorable Mention Award of UbiComp2015.
This document summarizes information about the sulphur-crested cockatoo, a white bird with yellow markings found in Australia and kept as pets worldwide. There are four subspecies that vary in size and crest shape. They live in large, noisy groups that forage during the day on seeds, grains, fruits and small insects. Sulphur-crested cockatoos nest communally in tree hollows and both parents help incubate their 1-3 eggs.
This document summarizes information about the sulphur-crested cockatoo, a white bird with yellow markings found in Australia and kept as pets worldwide. There are four subspecies that vary in size and crest shape. They live in large, noisy groups that forage during the day on seeds, grains, fruits and small insects. Sulphur-crested cockatoos nest communally in tree hollows and both parents help incubate their 1-3 eggs.
This document describes the ACRONET open hardware paradigm for developing low-cost, real-time IT systems for disaster risk reduction and environmental monitoring. The ACRONET model uses open hardware designs and commercial, off-the-shelf components to create modular sensor systems at a lower cost than proprietary alternatives. Several example projects applying the ACRONET systems are described, including monitoring snow depth for a municipality, measuring soil moisture for wildfire risk assessment, and creating a rural weather station network in the Caribbean for hurricane monitoring. The document argues the ACRONET approach can provide sustainable and affordable monitoring solutions, especially in developing areas.
About the potential of novel, alternative rain sensors, such as microwave links (MWL) used for telecommunication, crowd sensing, or cheap ubiquitous sensors.
Immersive audio rendering for interactive complex virtual architectural envir...Muhammad Imran
Development of coexistence virtual space to experience acoustically immersive environment during the augmented/virtual reality (AR/VR) telepresence system
Smart Sound Measurement and Control System for Smart CityIRJET Journal
This document summarizes a research paper that proposes a smart sound measurement and control system for smart cities using Internet of Things technology. The system aims to address issues with existing noise measurement devices, such as only detecting noise in limited nearby areas. The proposed system would use multiple inexpensive sound detection devices connected via WiFi that send sensor data to the cloud to be viewed on mobile devices. This would allow for averaging readings across devices and monitoring noise levels in larger spaces. The system is intended to help authorities better enforce noise regulations and view historical noise data to address noise pollution issues near hospitals, schools and other areas that require quiet environments.
ARM Based Handy and Portable Oscilloscope Using Graphical DisplayIJERA Editor
The need to have a visual perception of signals in order to monitor events in time and value brought about the
development of a measuring instrument referred to as oscilloscope. This is a design of handy and low cost
oscilloscope. The user can start/stop the display, adjust the time division and adjust the voltage division. The
requirements of the oscilloscope were three-fold: 1) low cost design, 2) capture frequencies at the medium range
and 3) construct able with a basic skill of PCB designing.
This document summarizes and compares various audio watermarking techniques. It begins with an introduction to audio watermarking and its key properties such as robustness, security, imperceptibility and payload. It then reviews 11 different audio watermarking methods from previous research publications. Each method is described in terms of its embedding and extraction procedures. Finally, the techniques are compared in a table that outlines the advantages and disadvantages of each approach. In general, the techniques aim to embed secret data into audio signals while maintaining quality, but they differ in their embedding strategies and robustness to various attacks.
This document discusses a redundancy removal technique for real-time voice compression. It begins by introducing voice compression and its increasing popularity. It then describes implementing a redundancy removal technique using MATLAB to encode and compress speech in real-time. The technique accurately estimates speech parameters and is computationally efficient. Testing showed it provided high compression and high quality audio. The technique reduces bandwidth needs for voice traffic, providing better performance than other methods for real-time applications.
The document discusses various techniques for removing speckle noise from images, which is a type of noise that inherently exists in synthetic aperture radar (SAR) images. It describes common speckle noise removal methods like median filters, Wiener filters, Frost filters, and Lee filters. The document concludes that the Wiener filter is generally best for removing speckle noise as it minimizes the mean square error when filtering.
This document presents a novel approach to recording sound using computer vision techniques rather than a microphone. The approach uses a high-speed camera to track the vibrations of a sound source over time. An experiment was conducted using a tuning fork vibrating at 98Hz as the source. The tuning fork vibrations were mapped from 1000 video frames recorded at 1000 fps. The mapped vibrations were used to generate an audio file, which was found to have less distortion and discontinuities than a reference file recorded with a microphone. The proposed approach could allow recording sound with greater accuracy and fidelity than traditional microphone-based recording.
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.
Ulas Ayaz has designed several optical sensors using microspheres as the sensing element. His shear stress sensor was the first to directly measure wall shear stress of reattaching flows. It has a flexible design that allows adjustment of resolution and bandwidth by changing the sphere material and size. Testing showed it performed well in measuring both steady and unsteady flows. Ayaz also developed a seismometer that directly measures acceleration up to 1 micro-g with high sensitivity and bandwidth up to 20 Hz using whispering gallery mode optics. Further, he designed miniature pressure, electric field, and prosthetic sensors using similar microsphere techniques.
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.
Bridge stability monitoring using RH sensors controlled by labview softwareIRJET Journal
This document discusses a system for monitoring bridge stability using RH sensors controlled by LabVIEW software. RH sensors are placed in concrete bridges to continuously monitor humidity and temperature. The sensor data is sent to a myRIO hardware device where it is processed and compared to reference data. If abnormalities are detected, an alarm is triggered. The system is designed to detect changes in the concrete structure early to prevent failures and loss of life. LabVIEW software is used to control the system and store sensor readings over time for analysis of bridge condition.
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.
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.
This document compares different window functions used for finite impulse response (FIR) filter design, including Hann, Hamming, Blackman, and Bartlett windows. It analyzes the performance of lowpass, highpass, bandpass, and bandstop filters designed with each window function. Hann window provides the narrowest main lobe width but Hamming window results in more side lobes. Blackman window achieves the highest side lobe attenuation of -70dB but with a wider main lobe. Bartlett window has the widest main lobe and highest side lobes. In conclusion, the appropriate window function depends on the specific filter design goals and tradeoffs between main lobe width and side lobe suppression.
This chapter describes the process of converting analog signals to digital form. It discusses sampling, where the analog signal is captured at discrete time intervals. It also discusses quantization, where the amplitude of the signal at each sample is assigned a digital value. The sampling rate and number of quantization levels affect the quality and size of the digital data. Digital signals have advantages over analog like improved quality, ability to edit and combine content, and efficient compression and storage. The chapter also covers filtering of digital signals.
Knick is a German company founded in 1945 that designs and produces measurement instruments including isolators, transmitters, sensors, and analyzers. They have subsidiaries in Brazil, the US, and China, and sales offices in France and Switzerland. Knick focuses on functional design, quality standards, reliability, and technical expertise to produce high-precision and long-lasting measurement products. Their product portfolio includes isolation amplifiers, indicators, process analytics devices, and laboratory instruments.
Effect of Speech enhancement using spectral subtraction on various noisy envi...IRJET Journal
This document discusses speech enhancement techniques using spectral subtraction. It begins with an abstract discussing analysis modification synthesis (AMS) and various speech enhancement features. It then discusses conventional spectral subtraction which estimates noise spectra and subtracts it from noisy speech spectra. Experimental evaluation uses the NOIZEUS speech corpus with noise at various signal-to-noise ratios. Objective measures like PESQ, Csig and Covl scores show the proposed method effectively reduces noise. Spectrogram analysis demonstrates noise reduction at lower frequencies. The document concludes spectral subtraction methods can improve speech quality in noisy environments.
Introduction to adaptive filtering and its applications.pptdebeshidutta2
This document discusses linear filters and adaptive filters. It provides an overview of key concepts such as:
- Linear filters have outputs that are linear functions of their inputs, while adaptive filters can adjust their parameters over time based on the input signals.
- The Wiener filter and LMS algorithm are introduced as approaches for optimal and adaptive filter design, with the LMS algorithm minimizing the mean square error using gradient descent.
- Applications of adaptive filters include system identification, inverse modeling, prediction, and interference cancellation. An example of acoustic echo cancellation is described.
- The document outlines the LMS adaptive algorithm steps and discusses its stability and convergence properties. It also summarizes different equalization techniques for mitigating inter
Taking AI to the Next Level in Manufacturing.pdfssuserfac0301
Read Taking AI to the Next Level in Manufacturing to gain insights on AI adoption in the manufacturing industry, such as:
1. How quickly AI is being implemented in manufacturing.
2. Which barriers stand in the way of AI adoption.
3. How data quality and governance form the backbone of AI.
4. Organizational processes and structures that may inhibit effective AI adoption.
6. Ideas and approaches to help build your organization's AI strategy.
Driving Business Innovation: Latest Generative AI Advancements & Success StorySafe Software
Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency.
During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
More Related Content
Similar to Changing the market from level to volume mordi perl
This document describes the ACRONET open hardware paradigm for developing low-cost, real-time IT systems for disaster risk reduction and environmental monitoring. The ACRONET model uses open hardware designs and commercial, off-the-shelf components to create modular sensor systems at a lower cost than proprietary alternatives. Several example projects applying the ACRONET systems are described, including monitoring snow depth for a municipality, measuring soil moisture for wildfire risk assessment, and creating a rural weather station network in the Caribbean for hurricane monitoring. The document argues the ACRONET approach can provide sustainable and affordable monitoring solutions, especially in developing areas.
About the potential of novel, alternative rain sensors, such as microwave links (MWL) used for telecommunication, crowd sensing, or cheap ubiquitous sensors.
Immersive audio rendering for interactive complex virtual architectural envir...Muhammad Imran
Development of coexistence virtual space to experience acoustically immersive environment during the augmented/virtual reality (AR/VR) telepresence system
Smart Sound Measurement and Control System for Smart CityIRJET Journal
This document summarizes a research paper that proposes a smart sound measurement and control system for smart cities using Internet of Things technology. The system aims to address issues with existing noise measurement devices, such as only detecting noise in limited nearby areas. The proposed system would use multiple inexpensive sound detection devices connected via WiFi that send sensor data to the cloud to be viewed on mobile devices. This would allow for averaging readings across devices and monitoring noise levels in larger spaces. The system is intended to help authorities better enforce noise regulations and view historical noise data to address noise pollution issues near hospitals, schools and other areas that require quiet environments.
ARM Based Handy and Portable Oscilloscope Using Graphical DisplayIJERA Editor
The need to have a visual perception of signals in order to monitor events in time and value brought about the
development of a measuring instrument referred to as oscilloscope. This is a design of handy and low cost
oscilloscope. The user can start/stop the display, adjust the time division and adjust the voltage division. The
requirements of the oscilloscope were three-fold: 1) low cost design, 2) capture frequencies at the medium range
and 3) construct able with a basic skill of PCB designing.
This document summarizes and compares various audio watermarking techniques. It begins with an introduction to audio watermarking and its key properties such as robustness, security, imperceptibility and payload. It then reviews 11 different audio watermarking methods from previous research publications. Each method is described in terms of its embedding and extraction procedures. Finally, the techniques are compared in a table that outlines the advantages and disadvantages of each approach. In general, the techniques aim to embed secret data into audio signals while maintaining quality, but they differ in their embedding strategies and robustness to various attacks.
This document discusses a redundancy removal technique for real-time voice compression. It begins by introducing voice compression and its increasing popularity. It then describes implementing a redundancy removal technique using MATLAB to encode and compress speech in real-time. The technique accurately estimates speech parameters and is computationally efficient. Testing showed it provided high compression and high quality audio. The technique reduces bandwidth needs for voice traffic, providing better performance than other methods for real-time applications.
The document discusses various techniques for removing speckle noise from images, which is a type of noise that inherently exists in synthetic aperture radar (SAR) images. It describes common speckle noise removal methods like median filters, Wiener filters, Frost filters, and Lee filters. The document concludes that the Wiener filter is generally best for removing speckle noise as it minimizes the mean square error when filtering.
This document presents a novel approach to recording sound using computer vision techniques rather than a microphone. The approach uses a high-speed camera to track the vibrations of a sound source over time. An experiment was conducted using a tuning fork vibrating at 98Hz as the source. The tuning fork vibrations were mapped from 1000 video frames recorded at 1000 fps. The mapped vibrations were used to generate an audio file, which was found to have less distortion and discontinuities than a reference file recorded with a microphone. The proposed approach could allow recording sound with greater accuracy and fidelity than traditional microphone-based recording.
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.
Ulas Ayaz has designed several optical sensors using microspheres as the sensing element. His shear stress sensor was the first to directly measure wall shear stress of reattaching flows. It has a flexible design that allows adjustment of resolution and bandwidth by changing the sphere material and size. Testing showed it performed well in measuring both steady and unsteady flows. Ayaz also developed a seismometer that directly measures acceleration up to 1 micro-g with high sensitivity and bandwidth up to 20 Hz using whispering gallery mode optics. Further, he designed miniature pressure, electric field, and prosthetic sensors using similar microsphere techniques.
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.
Bridge stability monitoring using RH sensors controlled by labview softwareIRJET Journal
This document discusses a system for monitoring bridge stability using RH sensors controlled by LabVIEW software. RH sensors are placed in concrete bridges to continuously monitor humidity and temperature. The sensor data is sent to a myRIO hardware device where it is processed and compared to reference data. If abnormalities are detected, an alarm is triggered. The system is designed to detect changes in the concrete structure early to prevent failures and loss of life. LabVIEW software is used to control the system and store sensor readings over time for analysis of bridge condition.
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.
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.
This document compares different window functions used for finite impulse response (FIR) filter design, including Hann, Hamming, Blackman, and Bartlett windows. It analyzes the performance of lowpass, highpass, bandpass, and bandstop filters designed with each window function. Hann window provides the narrowest main lobe width but Hamming window results in more side lobes. Blackman window achieves the highest side lobe attenuation of -70dB but with a wider main lobe. Bartlett window has the widest main lobe and highest side lobes. In conclusion, the appropriate window function depends on the specific filter design goals and tradeoffs between main lobe width and side lobe suppression.
This chapter describes the process of converting analog signals to digital form. It discusses sampling, where the analog signal is captured at discrete time intervals. It also discusses quantization, where the amplitude of the signal at each sample is assigned a digital value. The sampling rate and number of quantization levels affect the quality and size of the digital data. Digital signals have advantages over analog like improved quality, ability to edit and combine content, and efficient compression and storage. The chapter also covers filtering of digital signals.
Knick is a German company founded in 1945 that designs and produces measurement instruments including isolators, transmitters, sensors, and analyzers. They have subsidiaries in Brazil, the US, and China, and sales offices in France and Switzerland. Knick focuses on functional design, quality standards, reliability, and technical expertise to produce high-precision and long-lasting measurement products. Their product portfolio includes isolation amplifiers, indicators, process analytics devices, and laboratory instruments.
Effect of Speech enhancement using spectral subtraction on various noisy envi...IRJET Journal
This document discusses speech enhancement techniques using spectral subtraction. It begins with an abstract discussing analysis modification synthesis (AMS) and various speech enhancement features. It then discusses conventional spectral subtraction which estimates noise spectra and subtracts it from noisy speech spectra. Experimental evaluation uses the NOIZEUS speech corpus with noise at various signal-to-noise ratios. Objective measures like PESQ, Csig and Covl scores show the proposed method effectively reduces noise. Spectrogram analysis demonstrates noise reduction at lower frequencies. The document concludes spectral subtraction methods can improve speech quality in noisy environments.
Introduction to adaptive filtering and its applications.pptdebeshidutta2
This document discusses linear filters and adaptive filters. It provides an overview of key concepts such as:
- Linear filters have outputs that are linear functions of their inputs, while adaptive filters can adjust their parameters over time based on the input signals.
- The Wiener filter and LMS algorithm are introduced as approaches for optimal and adaptive filter design, with the LMS algorithm minimizing the mean square error using gradient descent.
- Applications of adaptive filters include system identification, inverse modeling, prediction, and interference cancellation. An example of acoustic echo cancellation is described.
- The document outlines the LMS adaptive algorithm steps and discusses its stability and convergence properties. It also summarizes different equalization techniques for mitigating inter
Similar to Changing the market from level to volume mordi perl (20)
Taking AI to the Next Level in Manufacturing.pdfssuserfac0301
Read Taking AI to the Next Level in Manufacturing to gain insights on AI adoption in the manufacturing industry, such as:
1. How quickly AI is being implemented in manufacturing.
2. Which barriers stand in the way of AI adoption.
3. How data quality and governance form the backbone of AI.
4. Organizational processes and structures that may inhibit effective AI adoption.
6. Ideas and approaches to help build your organization's AI strategy.
Driving Business Innovation: Latest Generative AI Advancements & Success StorySafe Software
Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency.
During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slackshyamraj55
Discover the seamless integration of RPA (Robotic Process Automation), COMPOSER, and APM with AWS IDP enhanced with Slack notifications. Explore how these technologies converge to streamline workflows, optimize performance, and ensure secure access, all while leveraging the power of AWS IDP and real-time communication via Slack notifications.
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
Generating privacy-protected synthetic data using Secludy and MilvusZilliz
During this demo, the founders of Secludy will demonstrate how their system utilizes Milvus to store and manipulate embeddings for generating privacy-protected synthetic data. Their approach not only maintains the confidentiality of the original data but also enhances the utility and scalability of LLMs under privacy constraints. Attendees, including machine learning engineers, data scientists, and data managers, will witness first-hand how Secludy's integration with Milvus empowers organizations to harness the power of LLMs securely and efficiently.
HCL Notes and Domino License Cost Reduction in the World of DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-and-domino-license-cost-reduction-in-the-world-of-dlau/
The introduction of DLAU and the CCB & CCX licensing model caused quite a stir in the HCL community. As a Notes and Domino customer, you may have faced challenges with unexpected user counts and license costs. You probably have questions on how this new licensing approach works and how to benefit from it. Most importantly, you likely have budget constraints and want to save money where possible. Don’t worry, we can help with all of this!
We’ll show you how to fix common misconfigurations that cause higher-than-expected user counts, and how to identify accounts which you can deactivate to save money. There are also frequent patterns that can cause unnecessary cost, like using a person document instead of a mail-in for shared mailboxes. We’ll provide examples and solutions for those as well. And naturally we’ll explain the new licensing model.
Join HCL Ambassador Marc Thomas in this webinar with a special guest appearance from Franz Walder. It will give you the tools and know-how to stay on top of what is going on with Domino licensing. You will be able lower your cost through an optimized configuration and keep it low going forward.
These topics will be covered
- Reducing license cost by finding and fixing misconfigurations and superfluous accounts
- How do CCB and CCX licenses really work?
- Understanding the DLAU tool and how to best utilize it
- Tips for common problem areas, like team mailboxes, functional/test users, etc
- Practical examples and best practices to implement right away
Project Management Semester Long Project - Acuityjpupo2018
Acuity is an innovative learning app designed to transform the way you engage with knowledge. Powered by AI technology, Acuity takes complex topics and distills them into concise, interactive summaries that are easy to read & understand. Whether you're exploring the depths of quantum mechanics or seeking insight into historical events, Acuity provides the key information you need without the burden of lengthy texts.
Digital Marketing Trends in 2024 | Guide for Staying AheadWask
https://www.wask.co/ebooks/digital-marketing-trends-in-2024
Feeling lost in the digital marketing whirlwind of 2024? Technology is changing, consumer habits are evolving, and staying ahead of the curve feels like a never-ending pursuit. This e-book is your compass. Dive into actionable insights to handle the complexities of modern marketing. From hyper-personalization to the power of user-generated content, learn how to build long-term relationships with your audience and unlock the secrets to success in the ever-shifting digital landscape.
TrustArc Webinar - 2024 Global Privacy SurveyTrustArc
How does your privacy program stack up against your peers? What challenges are privacy teams tackling and prioritizing in 2024?
In the fifth annual Global Privacy Benchmarks Survey, we asked over 1,800 global privacy professionals and business executives to share their perspectives on the current state of privacy inside and outside of their organizations. This year’s report focused on emerging areas of importance for privacy and compliance professionals, including considerations and implications of Artificial Intelligence (AI) technologies, building brand trust, and different approaches for achieving higher privacy competence scores.
See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
This webinar will review:
- The top 10 privacy insights from the fifth annual Global Privacy Benchmarks Survey
- The top challenges for privacy leaders, practitioners, and organizations in 2024
- Key themes to consider in developing and maintaining your privacy program
Building Production Ready Search Pipelines with Spark and MilvusZilliz
Spark is the widely used ETL tool for processing, indexing and ingesting data to serving stack for search. Milvus is the production-ready open-source vector database. In this talk we will show how to use Spark to process unstructured data to extract vector representations, and push the vectors to Milvus vector database for search serving.
Webinar: Designing a schema for a Data WarehouseFederico Razzoli
Are you new to data warehouses (DWH)? Do you need to check whether your data warehouse follows the best practices for a good design? In both cases, this webinar is for you.
A data warehouse is a central relational database that contains all measurements about a business or an organisation. This data comes from a variety of heterogeneous data sources, which includes databases of any type that back the applications used by the company, data files exported by some applications, or APIs provided by internal or external services.
But designing a data warehouse correctly is a hard task, which requires gathering information about the business processes that need to be analysed in the first place. These processes must be translated into so-called star schemas, which means, denormalised databases where each table represents a dimension or facts.
We will discuss these topics:
- How to gather information about a business;
- Understanding dictionaries and how to identify business entities;
- Dimensions and facts;
- Setting a table granularity;
- Types of facts;
- Types of dimensions;
- Snowflakes and how to avoid them;
- Expanding existing dimensions and facts.
5th LF Energy Power Grid Model Meet-up SlidesDanBrown980551
5th Power Grid Model Meet-up
It is with great pleasure that we extend to you an invitation to the 5th Power Grid Model Meet-up, scheduled for 6th June 2024. This event will adopt a hybrid format, allowing participants to join us either through an online Mircosoft Teams session or in person at TU/e located at Den Dolech 2, Eindhoven, Netherlands. The meet-up will be hosted by Eindhoven University of Technology (TU/e), a research university specializing in engineering science & technology.
Power Grid Model
The global energy transition is placing new and unprecedented demands on Distribution System Operators (DSOs). Alongside upgrades to grid capacity, processes such as digitization, capacity optimization, and congestion management are becoming vital for delivering reliable services.
Power Grid Model is an open source project from Linux Foundation Energy and provides a calculation engine that is increasingly essential for DSOs. It offers a standards-based foundation enabling real-time power systems analysis, simulations of electrical power grids, and sophisticated what-if analysis. In addition, it enables in-depth studies and analysis of the electrical power grid’s behavior and performance. This comprehensive model incorporates essential factors such as power generation capacity, electrical losses, voltage levels, power flows, and system stability.
Power Grid Model is currently being applied in a wide variety of use cases, including grid planning, expansion, reliability, and congestion studies. It can also help in analyzing the impact of renewable energy integration, assessing the effects of disturbances or faults, and developing strategies for grid control and optimization.
What to expect
For the upcoming meetup we are organizing, we have an exciting lineup of activities planned:
-Insightful presentations covering two practical applications of the Power Grid Model.
-An update on the latest advancements in Power Grid -Model technology during the first and second quarters of 2024.
-An interactive brainstorming session to discuss and propose new feature requests.
-An opportunity to connect with fellow Power Grid Model enthusiasts and users.
Salesforce Integration for Bonterra Impact Management (fka Social Solutions A...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on integration of Salesforce with Bonterra Impact Management.
Interested in deploying an integration with Salesforce for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
Main news related to the CCS TSI 2023 (2023/1695)Jakub Marek
An English 🇬🇧 translation of a presentation to the speech I gave about the main changes brought by CCS TSI 2023 at the biggest Czech conference on Communications and signalling systems on Railways, which was held in Clarion Hotel Olomouc from 7th to 9th November 2023 (konferenceszt.cz). Attended by around 500 participants and 200 on-line followers.
The original Czech 🇨🇿 version of the presentation can be found here: https://www.slideshare.net/slideshow/hlavni-novinky-souvisejici-s-ccs-tsi-2023-2023-1695/269688092 .
The videorecording (in Czech) from the presentation is available here: https://youtu.be/WzjJWm4IyPk?si=SImb06tuXGb30BEH .
Changing the market from level to volume mordi perl
1. An investment in knowledge always pays the best interest. Benjamin Franklin APM 3DLevelScanner ™ Changing the market from level to volume Inventory Means Money Mordi Perl, EMEA Executive Sales Director Innovating and Pioneering 3D True Volume Measurement of Solid Materials in Silos and Open Bins