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.
Word Recognition in Continuous Speech and Speaker Independent by Means of Rec...CSCJournals
Artificial neural networks have been applied successfully in many static systems but present some weaknesses if patterns involve a temporal component. Let’s note for example in speech recognition or contextual information, where different of the time interval, is crucial for comprehension. Speech, being a temporal form of sensory input, is a natural candidate for investigating temporal coding in neural networks. It is only through comprehension of the temporal relationship between different sounds which make up a spoken word or sentence that speech becomes intelligible. In fact we present in this paper presents three variants of self-organizing maps (SOM), the Leaky Integrators Neurons (LIN), the Spiking_SOM (SSOM) and the recurrent Spiking_SOM (RSSOM) models. The proposed variants is like the basic SOM, however it represents the characteristic to modify the learning function and the choice of the best matching unit (BMU). The case study of the proposed SOM variants is word recognition in continuous speech and speaker independent. The proposed SOM variants show good robustness and high word recognition rates.
Digital Watermarking Applications and Techniques: A Brief ReviewEditor IJCATR
The frequent availability of digital data such as audio, images and videos became possible to the public through the expansion
of the internet. Digital watermarking technology is being adopted to ensure and facilitate data authentication, security and copyright
protection of digital media. It is considered as the most important technology in today’s world, to prevent illegal copying of data. Digital
watermarking can be applied to audio, video, text or images. This paper includes the detail study of watermarking definition and various
watermarking applications and techniques used to enhance data security.
Neural networks Self Organizing Map by Engr. Edgar Carrillo IIEdgar Carrillo
This presentation talks about neural networks and self organizing maps. In this presentation,Engr. Edgar Caburatan Carrillo II also discusses its applications.
Speeding up probabilistic inference of camera orientation by function ap...Nicolau Werneck
Slides from my presentation at the WSCG2011. Describes some modifications to existing techniques for camera orientation estimation in "Manhattan Worlds" aiming at faster calculation times.
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.
Word Recognition in Continuous Speech and Speaker Independent by Means of Rec...CSCJournals
Artificial neural networks have been applied successfully in many static systems but present some weaknesses if patterns involve a temporal component. Let’s note for example in speech recognition or contextual information, where different of the time interval, is crucial for comprehension. Speech, being a temporal form of sensory input, is a natural candidate for investigating temporal coding in neural networks. It is only through comprehension of the temporal relationship between different sounds which make up a spoken word or sentence that speech becomes intelligible. In fact we present in this paper presents three variants of self-organizing maps (SOM), the Leaky Integrators Neurons (LIN), the Spiking_SOM (SSOM) and the recurrent Spiking_SOM (RSSOM) models. The proposed variants is like the basic SOM, however it represents the characteristic to modify the learning function and the choice of the best matching unit (BMU). The case study of the proposed SOM variants is word recognition in continuous speech and speaker independent. The proposed SOM variants show good robustness and high word recognition rates.
Digital Watermarking Applications and Techniques: A Brief ReviewEditor IJCATR
The frequent availability of digital data such as audio, images and videos became possible to the public through the expansion
of the internet. Digital watermarking technology is being adopted to ensure and facilitate data authentication, security and copyright
protection of digital media. It is considered as the most important technology in today’s world, to prevent illegal copying of data. Digital
watermarking can be applied to audio, video, text or images. This paper includes the detail study of watermarking definition and various
watermarking applications and techniques used to enhance data security.
Neural networks Self Organizing Map by Engr. Edgar Carrillo IIEdgar Carrillo
This presentation talks about neural networks and self organizing maps. In this presentation,Engr. Edgar Caburatan Carrillo II also discusses its applications.
Speeding up probabilistic inference of camera orientation by function ap...Nicolau Werneck
Slides from my presentation at the WSCG2011. Describes some modifications to existing techniques for camera orientation estimation in "Manhattan Worlds" aiming at faster calculation times.
International Journal of Engineering Research and Development (IJERD)IJERD Editor
call for paper 2012, hard copy of journal, research paper publishing, where to publish research paper,
journal publishing, how to publish research paper, Call For research paper, international journal, publishing a paper, IJERD, journal of science and technology, how to get a research paper published, publishing a paper, publishing of journal, publishing of research paper, reserach and review articles, IJERD Journal, How to publish your research paper, publish research paper, open access engineering journal, Engineering journal, Mathemetics journal, Physics journal, Chemistry journal, Computer Engineering, Computer Science journal, how to submit your paper, peer reviw journal, indexed journal, reserach and review articles, engineering journal, www.ijerd.com, research journals,
yahoo journals, bing journals, International Journal of Engineering Research and Development, google journals, hard copy of journal
Text independent speaker recognition using combined lpc and mfc coefficientseSAT Publishing House
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology
Adaptive blind multiuser detection under impulsive noise using principal comp...csandit
In this paper we consider blind signal detection for an asynchronous code division multiple
access (CDMA) system with Principal component analysis (PCA) in impulsive noise. The blind
multiuser detector requires no training sequences compared with the conventional multiuser
detection receiver. The proposed PCA blind multiuser detector is robust when compared
with knowledge based signature waveforms and the timing of the user of interest. PCA is
a statistical method for reducing the dimension of data set, spectral decomposition of the
covariance matrix of the dataset i.e first and second order statistics are estimated.
Principal component analysis makes no assumption on the independence of the data vectors
PCA searches for linear combinations with the largest variances and when several linear
combinations are needed, it considers variances in decreasing order of importance. PCA
improves SNR of signals used for differential side channel analysis. In different to other
approaches, the linear minimum mean-square-error (MMSE) detector is obtained blindly; the
detector does not use any training sequence like in subspace methods to detect multi user
receiver. The algorithm need not estimate the subspace rank in order to reduce the
computational complexity. Simulation results show that the new algorithm offers substantial
performance gains over the traditional subspace methods.
ADAPTIVE BLIND MULTIUSER DETECTION UNDER IMPULSIVE NOISE USING PRINCIPAL COMP...csandit
In this paper we consider blind signal detection for an asynchronous code division multiple access (CDMA) system with Principal component analysis (PCA) in impulsive noise. The blind multiuser detector requires no training sequences compared with the conventional multiuser detection receiver. The proposed PCA blind multiuser detector is robust when compared with knowledge based signature waveforms and the timing of the user of interest. PCA is a statistical method for reducing the dimension of data set, spectral decomposition of the covariance matrix of the dataset i.e first and second order statistics are estimated.
Principal component analysis makes no assumption on the independence of the data vectors PCA searches for linear combinations with the largest variances and when several linear combinations are needed, it considers variances in decreasing order of importance. PCA
improves SNR of signals used for differential side channel analysis. In different to other approaches, the linear minimum mean-square-error (MMSE) detector is obtained blindly; the detector does not use any training sequence like in subspace methods to detect multi user
receiver. The algorithm need not estimate the subspace rank in order to reduce the computational complexity. Simulation results show that the new algorithm offers substantial performance gains over the traditional subspace methods.
Self Organizing Maps: Fundamentals.
Introduction to Neural Networks.
1. What is a Self Organizing Map?
2. Topographic Maps
3. Setting up a Self Organizing Map
4. Kohonen Networks
5. Components of Self Organization
6. Overview of the SOM Algorithm
Speaker and Speech Recognition for Secured Smart Home ApplicationsRoger Gomes
The paper published in discusses implementation of a robust text-independent speaker recognition system using MFCC extraction of feature vectors its matching using VQ and optimization using LBG, further a text dependent speech recognition system using the DTW algorithm's implementation is discussed in the context of home automation.
IJERA (International journal of Engineering Research and Applications) is International online, ... peer reviewed journal. For more detail or submit your article, please visit www.ijera.com
Real-time DSP Implementation of Audio Crosstalk Cancellation using Mixed Unif...CSCJournals
For high fidelity sound reproduction, it is necessary to use long filter coefficients in audio crosstalk cancellation. To implement these long filters on real-time DSP processors, conventional overlap save technique suffers from more computational power as well as processing delay. To overcome these technical problems, mixed uniform partitioned convolution technique is proposed. This method is derived by combining uniform partitioned convolution with mixed filtering technique. With the proposed method, it is possible to perform audio crosstalk cancellation even at the order of ten thousand filter taps with less computations and short processing delay. The proposed technique was implemented on 32-bit floating point DSP processor and design was provided with efficient memory management to achieve optimization in computational complexity. The computational comparison of this method with conventional methods shows that the proposed technique is very efficient for long filters
Performance Evaluation of Conventional and Hybrid Feature Extractions Using M...IJERA Editor
Speech feature extraction and likelihood evaluation are considered the main issues in speech recognition system.
Although both techniques were developed and improved, but they remain the most active area of research. This
paper investigates the performance of conventional and hybrid speech feature extraction algorithm of Mel
Frequency Cepstrum Coefficient (MFCC), Linear Prediction Cepstrum Coefficient (LPCC), perceptual linear
production (PLP) and RASTA-PLP through using multivariate Hidden Markov Model (HMM) classifier. The
performance of the speech recognition system is evaluated based on word error rate (WER), which is given for
different data set of human voice using isolated speech TIDIGIT corpora sampled by 8 Khz. This data includes
the pronunciation of eleven words (zero to nine plus oh) are recorded from 208 different adult speakers (men &
women) each person uttered each word 2 times.
International Journal of Engineering Research and Development (IJERD)IJERD Editor
call for paper 2012, hard copy of journal, research paper publishing, where to publish research paper,
journal publishing, how to publish research paper, Call For research paper, international journal, publishing a paper, IJERD, journal of science and technology, how to get a research paper published, publishing a paper, publishing of journal, publishing of research paper, reserach and review articles, IJERD Journal, How to publish your research paper, publish research paper, open access engineering journal, Engineering journal, Mathemetics journal, Physics journal, Chemistry journal, Computer Engineering, Computer Science journal, how to submit your paper, peer reviw journal, indexed journal, reserach and review articles, engineering journal, www.ijerd.com, research journals,
yahoo journals, bing journals, International Journal of Engineering Research and Development, google journals, hard copy of journal
Text independent speaker recognition using combined lpc and mfc coefficientseSAT Publishing House
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology
Adaptive blind multiuser detection under impulsive noise using principal comp...csandit
In this paper we consider blind signal detection for an asynchronous code division multiple
access (CDMA) system with Principal component analysis (PCA) in impulsive noise. The blind
multiuser detector requires no training sequences compared with the conventional multiuser
detection receiver. The proposed PCA blind multiuser detector is robust when compared
with knowledge based signature waveforms and the timing of the user of interest. PCA is
a statistical method for reducing the dimension of data set, spectral decomposition of the
covariance matrix of the dataset i.e first and second order statistics are estimated.
Principal component analysis makes no assumption on the independence of the data vectors
PCA searches for linear combinations with the largest variances and when several linear
combinations are needed, it considers variances in decreasing order of importance. PCA
improves SNR of signals used for differential side channel analysis. In different to other
approaches, the linear minimum mean-square-error (MMSE) detector is obtained blindly; the
detector does not use any training sequence like in subspace methods to detect multi user
receiver. The algorithm need not estimate the subspace rank in order to reduce the
computational complexity. Simulation results show that the new algorithm offers substantial
performance gains over the traditional subspace methods.
ADAPTIVE BLIND MULTIUSER DETECTION UNDER IMPULSIVE NOISE USING PRINCIPAL COMP...csandit
In this paper we consider blind signal detection for an asynchronous code division multiple access (CDMA) system with Principal component analysis (PCA) in impulsive noise. The blind multiuser detector requires no training sequences compared with the conventional multiuser detection receiver. The proposed PCA blind multiuser detector is robust when compared with knowledge based signature waveforms and the timing of the user of interest. PCA is a statistical method for reducing the dimension of data set, spectral decomposition of the covariance matrix of the dataset i.e first and second order statistics are estimated.
Principal component analysis makes no assumption on the independence of the data vectors PCA searches for linear combinations with the largest variances and when several linear combinations are needed, it considers variances in decreasing order of importance. PCA
improves SNR of signals used for differential side channel analysis. In different to other approaches, the linear minimum mean-square-error (MMSE) detector is obtained blindly; the detector does not use any training sequence like in subspace methods to detect multi user
receiver. The algorithm need not estimate the subspace rank in order to reduce the computational complexity. Simulation results show that the new algorithm offers substantial performance gains over the traditional subspace methods.
Self Organizing Maps: Fundamentals.
Introduction to Neural Networks.
1. What is a Self Organizing Map?
2. Topographic Maps
3. Setting up a Self Organizing Map
4. Kohonen Networks
5. Components of Self Organization
6. Overview of the SOM Algorithm
Speaker and Speech Recognition for Secured Smart Home ApplicationsRoger Gomes
The paper published in discusses implementation of a robust text-independent speaker recognition system using MFCC extraction of feature vectors its matching using VQ and optimization using LBG, further a text dependent speech recognition system using the DTW algorithm's implementation is discussed in the context of home automation.
IJERA (International journal of Engineering Research and Applications) is International online, ... peer reviewed journal. For more detail or submit your article, please visit www.ijera.com
Real-time DSP Implementation of Audio Crosstalk Cancellation using Mixed Unif...CSCJournals
For high fidelity sound reproduction, it is necessary to use long filter coefficients in audio crosstalk cancellation. To implement these long filters on real-time DSP processors, conventional overlap save technique suffers from more computational power as well as processing delay. To overcome these technical problems, mixed uniform partitioned convolution technique is proposed. This method is derived by combining uniform partitioned convolution with mixed filtering technique. With the proposed method, it is possible to perform audio crosstalk cancellation even at the order of ten thousand filter taps with less computations and short processing delay. The proposed technique was implemented on 32-bit floating point DSP processor and design was provided with efficient memory management to achieve optimization in computational complexity. The computational comparison of this method with conventional methods shows that the proposed technique is very efficient for long filters
Performance Evaluation of Conventional and Hybrid Feature Extractions Using M...IJERA Editor
Speech feature extraction and likelihood evaluation are considered the main issues in speech recognition system.
Although both techniques were developed and improved, but they remain the most active area of research. This
paper investigates the performance of conventional and hybrid speech feature extraction algorithm of Mel
Frequency Cepstrum Coefficient (MFCC), Linear Prediction Cepstrum Coefficient (LPCC), perceptual linear
production (PLP) and RASTA-PLP through using multivariate Hidden Markov Model (HMM) classifier. The
performance of the speech recognition system is evaluated based on word error rate (WER), which is given for
different data set of human voice using isolated speech TIDIGIT corpora sampled by 8 Khz. This data includes
the pronunciation of eleven words (zero to nine plus oh) are recorded from 208 different adult speakers (men &
women) each person uttered each word 2 times.
NP Complete problems in the field of graph theory have been selected and have been tested for a polynomial solution. Successfully studied and implemented a few solutions to various NP-Complete Problems. Various polynomial time reductions are also been studied between these problems and and methods have been worked on. I have secured a letter of appreciation from the Guide for my performance during the course of the Internship.
A research seminar talk I gave at Cardiff University on 5th December 2016. I rather co-opted this as a dry run for some ideas I am developing on how to teach computer science in general. Enjoy!
This is a short presentation on Vertex Cover Problem for beginners in the field of Graph Theory...
Download the presentation for a better experience...
NP completeness. Classes P and NP are two frequently studied classes of problems in computer science. Class P is the set of all problems that can be solved by a deterministic Turing machine in polynomial time.
nternational Journal of Engineering Research and Development is an international premier peer reviewed open access engineering and technology journal promoting the discovery, innovation, advancement and dissemination of basic and transitional knowledge in engineering, technology and related disciplines.
Chaotic Secure Communication Using Iterated Filtering Method P. Karthik -Assistant Professor,
D. Gokul Prashanth -UG Scholar,
T. Gokul - UG Scholar,
Department of Electronics and Communication Engineering,
SNS College of Engineering, Coimbatore, India.
Design Of Area Delay Efficient Fixed-Point Lms Adaptive Filter For EEG Applic...IJTET Journal
An efficient architecture for the implementation of a delayed least mean square adaptive filter. A Novel
partial product Generator is achieving lower adaptation-delay and Area delay consumption and propose a strategy
for optimized balanced pipelining across the time-consuming combinational blocks of the structure. From synthesis
results, the proposed design will offers less area-delay product (ADP) the best of the existing systolic structures, on
average, for filter lengths N =8, 16, and 32. An efficient fixed-point implementation scheme of the proposed
architecture, The EEG(electroencephalogram) is used for recording of electrical activity of the brain .During
recording the EEG is contaminated by various artifacts as PLI(Power line interference), MA(Muscle artifact),
EBA(Eye blink artifact). This paper gives Detail of various artifacts which occur in EEG signal. In this we study
adaptive filter for reducing the EBA (eye blink artifact) noise from the EEG signal and to increase SNR (Signal to
noise ratio).the analytical result matches with the simulation result is showed.
DESIGN OF DELAY COMPUTATION METHOD FOR CYCLOTOMIC FAST FOURIER TRANSFORMsipij
In this paper the Delay Computation method for Common Sub expression Elimination algorithm is being implemented on Cyclotomic Fast Fourier Transform. The Common Sub Expression Elimination algorithm is combined with the delay computing method and is known as Gate Level Delay Computation with Common Sub expression Elimination Algorithm. Common sub expression elimination is effective
optimization method used to reduce adders in cyclotomic Fourier transform. The delay computing method is based on delay matrix and suitable for implementation with computers. The Gate level delay computation method is used to find critical path delay and it is analyzed on various finite field elements. The presented algorithm is established through a case study in Cyclotomic Fast Fourier Transform over finite field. If Cyclotomic Fast Fourier Transform is implemented directly then the system will have high additive complexities. So by using GLDC-CSE algorithm on cyclotomic fast Fourier transform, the additive
complexities will be reduced and also the area and area delay product will be reduced.
A COMPREHENSIVE ANALYSIS OF QUANTUM CLUSTERING : FINDING ALL THE POTENTIAL MI...IJDKP
Quantum clustering (QC), is a data clustering algorithm based on quantum mechanics which is
accomplished by substituting each point in a given dataset with a Gaussian. The width of the Gaussian is a
σ value, a hyper-parameter which can be manually defined and manipulated to suit the application.
Numerical methods are used to find all the minima of the quantum potential as they correspond to cluster
centers. Herein, we investigate the mathematical task of expressing and finding all the roots of the
exponential polynomial corresponding to the minima of a two-dimensional quantum potential. This is an
outstanding task because normally such expressions are impossible to solve analytically. However, we
prove that if the points are all included in a square region of size σ, there is only one minimum. This bound
is not only useful in the number of solutions to look for, by numerical means, it allows to to propose a new
numerical approach “per block”. This technique decreases the number of particles by approximating some
groups of particles to weighted particles. These findings are not only useful to the quantum clustering
problem but also for the exponential polynomials encountered in quantum chemistry, Solid-state Physics
and other applications.
Manifold Blurring Mean Shift algorithms for manifold denoising, report, 2012Florent Renucci
(General) To retrieve a clean dataset by deleting outliers.
(Computer Vision) the recovery of a digital image that has been contaminated by additive white Gaussian noise.
MULTI-OBJECTIVE ENERGY EFFICIENT OPTIMIZATION ALGORITHM FOR COVERAGE CONTROL ...ijcseit
Many studies have been done in the area of Wireless Sensor Networks (WSNs) in recent years. In this kind of networks, some of the key objectives that need to be satisfied are area coverage, number of active sensors and energy consumed by nodes. In this paper, we propose a NSGA-II based multi-objective algorithm for optimizing all of these objectives simultaneously. The efficiency of our algorithm is demonstrated in the simulation results. This efficiency can be shown as finding the optimal balance point among the maximum coverage rate, the least energy consumption, and the minimum number of active nodes while maintaining the connectivity of the network
Proximity Detection in Distributed Simulation of Wireless Mobile SystemsGabriele D'Angelo
The distributed and the Grid Computing architectures for the simulation of massively populated wireless systems have recently been considered of interest, mainly for cost reasons. Solutions for generalized proximity detection for mobile objects is a relevant problem, with a big impact on the design and the implementation of parallel and distributed simulations of wireless mobile systems. In this paper, a set of solutions based on tailored data structures, new techniques and enhancements of the existing algorithms for generalized proximity detection are proposed and analyzed, to increase the efficiency of distributed simulations. The paper includes the analysis of computation complexity of the proposed solutions and the performance evaluation of a testbed distributed simulation of ad hoc network models. Recent works have shown that the performance of distributed simulation of dynamic complex systems could benefit from a runtime migration mechanism of model entities, which reduces the communication overheads. Such migration mechanisms may interfere with the generalized proximity detection implementations. The analysis performed in this paper illustrates the effects of many possible compositions of the proposed solutions, in a real testbed simulation framework.
Similar to P-Systems for approximating NP-Complete optimization problems (20)
Teleoperating a robotic arm through a gyroscopic helmetFrancesco Corucci
I worked on this project for a Real Time Systems class. It is basically a pointing device, based on a gyroscopic helmet controlling a little robotic arm. The hardware consists of Evidence FLEX boards running a Real-Time OS called Erika Enterprise (Open Source RTOS for single- and multi-core applications)
This project was developed for an Embedded systems class: we implemented a PID controller for a mechanical inverted pendulum. It was very interesting to experiment in practice with a simple control plant.
This is the final report for a Social Network Analysis class, within the context of the Excellence Program in Computer Engineering, University of Pisa, Italy
A wearable MIDI interface using a wireless sensor networkFrancesco Corucci
The idea behind this project is to use a wearable WSN to produce music. The user wears a certain number of sensors, sampling accelerometric data: these data are mapped into MIDI messages, that are routed toward a musical software. The WSN is seen as a standard input MIDI peripheral.
The platform allows new expressive forms based on gestuality: using more sensors placed on the body (with an appropriate mapping), it could be possible to link different forms of expressivity, such dance and music.
Implementation of a lane-tracking system for autonomous driving using Kalman ...Francesco Corucci
This project was developed for a Digital Control class. It consists of a system that is able to identify and track lane marks in a video acquired by webcam. It's interesting how the Kalman filter is used in such a context in order to make the lane detection computationally feasible in the small amount of time between two subsequent video frames
An overview on Quantum Key Distribution, final presentation for a Quantum Computing Class within the Excellence Program in Computer Engineering, University of Pisa, Italy
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...
P-Systems for approximating NP-Complete optimization problems
1. Francesco Corucci – Bioinformatics course (Prof. R. Barbuti)
Percorso di Eccellenza, Laurea Magistrale in Ingegneria Informatica – Università di Pisa
From a work of Taishin Yasunobu Nishida (nishida@pu-toyama.ac.jp)
Faculty of Engineering, Toyama Prefetural University
2. NP-Complete problems
2
Problems for which no polynomial solution is known
Many examples of such problems, very often related to
practical applications (logistic, computer science,
biology, etc)
A common approach consist in addressing these
problems with sub-optimal approximation algorithms
that can be solved in polynomial time
P-systems can be usefull within this context
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3. Outline of membrane algorithms3
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4. Mm-1
M0
M1
Components of membrane algorithms
4
A membrane algorithm for approximating
an optimization problem consists of:
1. a certain number of regions, outlined
by nested membranes (labeled Mi)
2. in every region, a subalgorithm (si)
and a few tentative solutions
3. a solution transporting mechanism
between adjacent regions
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tentative solutions
sm-1
s1
s0
subalgorithm
5. Membrane algorithm
5
A step of the membrane algorithm acts as
follows:
in every region, simultaneously, tentative
solutions are updated by the subalgorithm
placed in the same region
solutions transport mechanism: in every
region, the best solution (with respect to the
optimization criterion) is sent to the
adjacent inner region, the worst is sent to
the adjacent outer one
Mm-1
M0
M1
best from M2
W
B
B
W
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6. Membrane algorithm
6
The membrane algorithm repeats updating and transporting
solutions until a termination condition is satisfied.
Possible termination conditions are:
Max number of iterations limit
The best solution is not changed in a predetermined
number of steps
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7. Output definition
7
The innermost membrane (M0) is defined as the output
membrane of the algorithm
Its content at the end of the execution is the approximated
solution for the optimization problem
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8. Subalgorithms
8
A membrane algorithm can use a number of different of
subalgorithms
A subalgorithm can be any approximate algorithm for
optimization problems. Examples are:
Genetic algorithms
Tabu search
Simulated annealing
…
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9. Escaping from local minima
9
The membrane algorithm should be able to escape from local
minima (we are searching for a global one!)
For this reason, subalgorithms placed in the outer regions should
enhance random search (e.g. with random mutations)
In the innermost membrane, a subalgorithm enhancing the local
search should be used instead (e.g. search for neighboring), in
order to refine the good solutions selected
Assigning appropriate subalgorithms for a given problem is critic in order to
obtain good performances from the membrane algorithm
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10. Consideration about parallelism
10
At every step, the subalgorithm execution in each region is
independent from the others
Very simple communication occurs at the end of the step,
between adjacent regions
The membrane algorithm could be easily implemented in
parallel, distributed, or grid computing systems
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11. A practical example:
The Traveling Salesman Problem11
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12. Traveling Salesman Problem
12
The problem: given a list of cities and their pairwise
distances, the task is to find the shortest route that visits
each city exactly once
The TSP has several practical applications:
planning, logistic
microchip manufacturing (“cities” are soldering points, the path
is the electronic track)
It has been showed that the TSP is a NP-complete problem
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13. Details of the algorithm
13
Let m be the number of membranes (M0 is the innermost)
An istance of the TSP with n nodes consists n pairs of real
numbers vi =(xi,yi), i=0,1,…, n-1 (n points in a
bidimensional space)
Distance (Euclidean): d(vi,vj) = xi − x𝑗
2 + yi − y𝑗
2
A solution v = (v0, v1, …, vn-1) (order of visit) has value
(cost) W(v) = 𝑑(vi,vi+1)𝑛−2
𝑖=0 + 𝑑(vn−1,v0)
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14. Details of the algorithm
14
Obviously, for two solutions u and
v, v is better than u if W(v) < W(u)
The solution which has the minimum
value among all possible solutions
is said to be the strict solution of a
TSP istance
One tentative solution in M0 and
two in all other regions
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Mm-1
M0
M1
15. Innermost region subalgorithm
15
We set tabu search as subalgorithm in the innermost region (M0):
this algorithm searches a neighbor of the tentative solution by
exchanging two adjacent nodes in the solution (local search, for
refining)
Tabu search resets the tentative solution if:
1. The value of the neighboring solution is less than that of the tentative
solution (the former becomes the new tentative solution)
2. The value of the best solution in region M1 is less than of the
tentative solution (the former becomes the new tentative solution)
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16. Outer regions subalgorithm
16
The chosen subalgorithm for the outer regions (inspired by genetic
algorithms) is described as follows:
1. If the two solutions have the same value, a part of one solution
(selected probabilistically) is reversed (→ avoids duplicates);
2. Recombinate the two solutions producing two new solutions
(crossover: several methods are possible, EXX was used);
3. Modify the two solutions by point mutations (in the ith region, a
mutation occurs with probability
𝑖
𝑚
)
→ enhances random search, as requested
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17. Overall algorithm
17
1. Consider an instance of the TSP
2. Randomly construct one tentative solution for region 0 and two tentative
solutions for every region from 1 to m-1
3. For k = 0 … d (‘d’ is a parameter)
1. Update: simultaneously update tentative solutions in each region using the
associated subalgorithm
2. Transport: for each region ‘i’, send the best solution to region i-1 (inner),
and the worst to region i+1 (outer) (region 0 and m-1 can move only one
solution). Remove all solutions but the best two.
4. Output the tentative solution in region 0 as the output of the algorithm
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19. Experimental results
19
The algorithm was implemented
in Java programming language
and tested on a computer
Figure shows an execution
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20. Comparison with simulated annealing
20
51 nodes, 40’000 iterations, 20
executions, variable number of
membranes (from 2 to 70) (eil51)
100 nodes, 100’000 iterations, 20
executions (kroA100)
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Comparing the membrane algorithm with simulated annealing (SA) (a probabilistic algorithm
often used for TSP solving)
STRICT VALUE: 426
STRICT VALUE: 21’282
21. Comparison with simulated annealing
21 Bioinformatics course - Laurea Magistrale in Ingegneria Informatica, Percorso di Eccellenza
The membrane algorithm worked slightly better
than SA in the first test and slightly worse in the
second one
Since the differences are very small, we may
conclude that the membrane algorithm is as good as
the simulated annealing
22. Saturation effect
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With more membranes we get a better
approximation…
…however, experimental results seem to point out
that in some cases the improvement achieved with
more membranes tends to saturate
Since the computation time is proportional to the
number of membranes, we need a trade-off
23. Fast convergence
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Figure shows the changes of
the average value of
solutions for kroA100
problem solved by a
membrane algorithm with 50
membranes as the number of
iterations increases
The algorithm converges
rather quickly to good
solutions
Convergence to good
solutions in about 2000-
3000 iterations
25. Improved membrane algorithms
25 Bioinformatics course - Laurea Magistrale in Ingegneria Informatica, Percorso di Eccellenza
Is it possible to improve the performances of the
membrane algorithm incorporating the concepts of a
tissue P-system (→compound approach) or of P-systems
with dynamic membrane structure (→ shrink approach)
26. Compound membrane algorithm
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Tissue based, two phases:
1. First phase: a certain number
of membrane algorithms
produce good solutions from
randomly generated initial
tentative solutions
2. Second phase: the good
solutions produced by the
first phase are used as initial
ones for the second phase
27. Compound membrane algorithm
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Set up:
100 membrane algorithms in the first phase
Every algorithm uses 50 membranes
Each algorithm in the first phase terminates if the best solution does not improve
during 500 iteration
The membrane algorithm in the second phase terminates if the best solution
does not improve in 5000 iterations
28. Compound membrane algorithm
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The table shows the results of
experimental tests:
We can see that the compound
membrane algorithm has significantly
improved performances compared to
previous approaches (it always
outputs almost strict solutions)
The computation time of compound membrane algorithm was obviously much longer than
that of the simple algorithm on a common computer
However, because the execution of the membrane algorithms in the first phase are
completely independent, they could be easily parallelized on a distributed architecture,
so that the computation time will be only twice related to the simple algorithm
STRICT: 426 STRICT: 21282
29. Compound membrane algorithm
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Possible explainations for the good performances of the
compound approach:
1. Large number of random initial solutions
2. The first phase selects «good seeds»
3. The second phase generates very good solutions by recombining the good seeds
obtained in the first phase
30. Shrink membrane algorithm
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Based on dynamic membrane structure, it consists of three phases
1. Phase 1: a certain number of algorithms (with five membranes
and Genetic Algorithm based subalgorithms in all regions) are
executed. After termination condition…
2. Phase 2: «shrink» the systems to two membranes and refine with
tabu search in region 0 and GA type subalgorithms in region 1
3. Phase 3: pass the good seeds selected in the previous phases to a
second stage, like in the compound approach
31. Shrink membrane algorithm
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We can see from the table
above that the shrink algorithm
beats the compound, also being
significantly faster
32. Conclusions
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The experimental results prove the effectiveness of the membrane
approach for approximating NP-complete problems
We saw how the performances can be improved considering some
variants of P-systems (tissue based and with dynamic membranes)
There are many possibilities for further researches:
Using different subalgorithms
Using different dynamic structures
Using different terminating conditions
Introducing further P-systems ingredients