This document describes the development and extension of hull girder progressive collapse analysis methods for lightweight naval vessels. It presents the Smith Progressive Collapse Method and introduces the Extended Progressive Collapse Method, which adapts the approach to consider compartment-level elements rather than assuming independent interframe behavior. A case study analysis of an aluminum multihull vessel's longitudinal bending capacity is performed using the extended method and compared to nonlinear finite element analysis results, showing close agreement. The extended method and its ProColl implementation provide a simplified but accurate means of assessing the ultimate strength and collapse behavior of lightweight hull structures.
Presentation of my M.Sc. graduation work, titled "Determination of canal pool characteristics with experimental modeling". It describes the use of System Identification techniques to identify (irrigation) canal pool characteristics needed for automatic controller design from tests on the real canal rather than on model representations. There is a special focus on potential resonance behavior of canal pools and the identification of these characteristics. Experiments on irrigation canal pools in Arizona, USA are described.
The document discusses simulating a magnetic angle measurement system using ANSYS and MATLAB/Simulink. It describes modeling the magnetic circuit of a permanent magnet and pole wheels using ANSYS, exporting the flux density results, and incorporating them into a Simulink model of a GMR sensor and signal conditioning circuit. The goals are to analyze error sources, optimize the design, and test sensor calibration techniques.
The document presents a multitexture model for analyzing multilook polarimetric radar data. It proposes modeling the scattering vector using multiple texture variables to represent different polarization components rather than a single texture variable. It derives the probability density function of the sample covariance matrix under this model. Experimental results on Amazon rainforest data show the multitexture model fits the data better than single or dual texture models.
In this presentation, on Driving LEDs – Resistors and Linear Drivers, we will look at simple resistor based current regulation for LED systems and the use of linear drivers to regulate current in an LED system.
In this presentation on Driving LEDs — AC-DC Power Supplies we will look at the typical circuit structure of AC-DC drivers, the importance of TRIAC dimmability and some standards covering drivers for LED systems.
Red Crescent Resources is a junior mining company focused on zinc, lead, and copper projects in Turkey. It holds three main projects - the Hakkari Zinc Project, Sivas Copper Project, and Tufanbeyli Zinc Project. Red Crescent completed an initial resource estimate for Hakkari and aims to expand resources at all three projects through ongoing exploration. The company seeks to become a low-cost base metal producer in Turkey within five years. Red Crescent recently raised funds and acquired additional projects, positioning it for growth through exploration and potential future production.
This document discusses compressive sensing and its applications for transient signal analysis. It introduces compressive sensing as a technique to reduce data measurements while preserving signal information using sparsity. Transient signals are sparse and can be represented by a small number of waveforms. The document proposes using compressive sensing for transient detection by exploiting signal sparsity and reconstructing signals from undersampled data. It describes applications in power quality analysis, audio/biomedical signals, and radar. Advantages over wavelet methods include preserving transient characteristics like amplitude and frequency.
Presentation of my M.Sc. graduation work, titled "Determination of canal pool characteristics with experimental modeling". It describes the use of System Identification techniques to identify (irrigation) canal pool characteristics needed for automatic controller design from tests on the real canal rather than on model representations. There is a special focus on potential resonance behavior of canal pools and the identification of these characteristics. Experiments on irrigation canal pools in Arizona, USA are described.
The document discusses simulating a magnetic angle measurement system using ANSYS and MATLAB/Simulink. It describes modeling the magnetic circuit of a permanent magnet and pole wheels using ANSYS, exporting the flux density results, and incorporating them into a Simulink model of a GMR sensor and signal conditioning circuit. The goals are to analyze error sources, optimize the design, and test sensor calibration techniques.
The document presents a multitexture model for analyzing multilook polarimetric radar data. It proposes modeling the scattering vector using multiple texture variables to represent different polarization components rather than a single texture variable. It derives the probability density function of the sample covariance matrix under this model. Experimental results on Amazon rainforest data show the multitexture model fits the data better than single or dual texture models.
In this presentation, on Driving LEDs – Resistors and Linear Drivers, we will look at simple resistor based current regulation for LED systems and the use of linear drivers to regulate current in an LED system.
In this presentation on Driving LEDs — AC-DC Power Supplies we will look at the typical circuit structure of AC-DC drivers, the importance of TRIAC dimmability and some standards covering drivers for LED systems.
Red Crescent Resources is a junior mining company focused on zinc, lead, and copper projects in Turkey. It holds three main projects - the Hakkari Zinc Project, Sivas Copper Project, and Tufanbeyli Zinc Project. Red Crescent completed an initial resource estimate for Hakkari and aims to expand resources at all three projects through ongoing exploration. The company seeks to become a low-cost base metal producer in Turkey within five years. Red Crescent recently raised funds and acquired additional projects, positioning it for growth through exploration and potential future production.
This document discusses compressive sensing and its applications for transient signal analysis. It introduces compressive sensing as a technique to reduce data measurements while preserving signal information using sparsity. Transient signals are sparse and can be represented by a small number of waveforms. The document proposes using compressive sensing for transient detection by exploiting signal sparsity and reconstructing signals from undersampled data. It describes applications in power quality analysis, audio/biomedical signals, and radar. Advantages over wavelet methods include preserving transient characteristics like amplitude and frequency.
This document summarizes research comparing numerical methods to predict progressive collapse in lightweight aluminum vessels. It describes using nonlinear finite element analysis, an interframe progressive collapse method, and a compartment progressive collapse method. A case study applies these methods to box girder and catamaran models, finding the extended progressive collapse method can predict both interframe and compartment-level collapse while closely matching finite element results. Further work is identified to validate the method for additional loading cases and realistic ship structures.
The document shows a chart comparing average system load and renewable generation capacity over a winter weekday. Renewable generation from wind and solar photovoltaics is highest during the middle of the day and lowest at night, inversely matching the daily load pattern. Wind provides a more consistent generation level than solar. The chart illustrates the variability of renewable generation compared to customer load.
This document reviews different techniques for predicting solar irradiance levels including:
1) Numerical weather prediction models and statistical prediction for short to long term forecasting.
2) MOS (Model Output Statistics) techniques using sky cover products from weather centers for short term prediction.
3) Satellite-based methods comparing different approaches and error analysis for short term forecasting.
4) Signal analysis techniques including wavelet transforms and artificial neural networks combined with recurrent networks for improved prediction.
Future work proposed includes combining these methods along with normalized data and forecasts from weather centers to improve prediction accuracy across timescales.
Objective Determination Of Minimum Engine Mapping Requirements For Optimal SI...pmaloney1
The document discusses determining the minimum number of engine test points needed for optimal spark-ignition direct-injection engine calibration. Results found that approximately 100 spark sweeps were required to optimally calibrate the engine using a 2-stage modeling approach. A problem-solving approach was used that involved designing test matrices, developing 2-stage models, and comparing calibrations from reduced and exhaustive test designs.
2.overview of recent_technology_trends_in_energy-efficient_lightingdepohesap
This document provides an overview of recent trends in energy-efficient lighting technologies. It discusses the history of electric lighting and describes various common light source technologies including incandescent, halogen, fluorescent, and high intensity discharge lamps. For each technology, it covers aspects like efficacy, color rendering, lifetime, and ballast requirements. The document serves to inform readers about the characteristics and performance of different lighting options.
This document summarizes research on achieving high reliability and low-cost lead-free solder joints using manganese or cerium doping of tin-silver-copper (SAC) solder. Experimental results show that SAC doped with 0.05% manganese (SACM) or 0.02% cerium (SACC) outperforms baseline SAC105 and SAC305 alloys in drop test reliability and thermal cycling performance. Specifically, SACM and SACC exhibit higher drop test lifetimes and allow packages to withstand higher dynamic bending strains compared to SAC105 and SAC305. This research demonstrates that minor manganese or cerium doping of SAC alloys can improve
Evaluation Of 2 Motor Hybrid Architecturesjimpotter
The document evaluates 2-motor hybrid architectures, including single planetary gear set systems like the input summing hybrid seen in the Ford Escape and Toyota Prius, and dual planetary gear set systems. It provides details on the operation and features of input summing hybrid systems, and notes that while marketed as a combination of parallel and series hybrids, the engine remains mechanically coupled to the drive axle. The document also briefly discusses output split hybrid systems like in the Chevrolet Volt.
This document provides an overview of three-dimensional displays, from physiological depth cues to electronic holograms. It discusses depth cues our eyes use to perceive depth, including psychological cues like occlusion and physiological cues like binocular disparity. Examples of 3D displays that provide some depth cues, like lenticular sheets, are described. The document also covers holograms, including how they can provide all depth cues by reconstructing the original wavefront. It discusses challenges like the large amount of information in holograms and methods to reduce it, like rainbow and multiplex holograms. Computer generated and electronic holograms using dynamic modulators are also summarized.
This document provides specifications for a diode emitter. It begins with an image and description of the TSUS4300 infrared emitting diode in a clear plastic package. Key features listed include high radiant power and intensity, low forward voltage, suitability for DC and pulse operation, and a standard 3mm package size. Applications mentioned are infrared remote control systems and reflective sensors. The document concludes with absolute maximum ratings for the diode.
This document is a Smith chart that was created in 2009 by Alberto Tama Franco from ESPOL. The chart maps the normalized impedance and admittance coordinates used for analyzing electric circuits. It includes scales for resistance, conductance, capacitive reactance, and inductive reactance components.
The document discusses requirements for cognitive tests used in pre-dementia clinical trials. It notes that optimal tests must be relevant to core Alzheimer's cognitive impairments and everyday behavior. They should be sensitive to longitudinal impairment and treatment effects without ceiling or floor effects. Tests should have parallel forms, show minimal training effects after familiarization, and be administrable by impaired and unimpaired patients. It also lists some nice-to-have properties including brief administration, sensitivity to biomarkers and neurogenesis, and remote administration capabilities.
This document discusses using boosted decision trees to select important hyperspectral bands for geology classification. It aims to reduce dimensionality and processing time while maintaining classification accuracy. The method embeds band selection within the boosting process to identify the most informative bands. Experiments are conducted on hyperspectral data from an iron ore mine to evaluate the approach.
This document provides supplementary information to support a study on geometrically-locked vortex lattices in semiconductor quantum fluids. Figure S1 shows experimental data on the condensation phase transition that occurs in the quantum fluid above 10 mW of pumping power. Figure S2 demonstrates the conditions needed to observe stable interference between condensates from two pump spots, including the requirement that they have the same energy level. Figure S3 simulates the hexagonal lattice wavefunction that arises from the interference pattern. Figure S4 shows simulations of ordered square lattices that can form from interference between four plane waves.
Connectome Classification: Statistical Connectomics for Analysis of Connectom...Joshua Vogelstein
1. The document discusses statistical connectomics, which is the application of statistical analysis techniques to connectome data.
2. It presents an example classification analysis that used graph-based statistical models on MR connectome data to accurately classify subjects as male or female with over 83% accuracy.
3. The analysis involved preprocessing MR imaging data into connectome graphs, constructing a robust Bayes classifier on a estimated signal subgraph, and evaluating performance through cross-validation on real brain network data as well as synthetic data.
The document discusses the characterization of Through Silicon Via (TSV) processes using mass metrology. It outlines the TSV process sequence, which includes deep silicon etch and polymer clean, oxide liner deposition, barrier and seed deposition, and copper electrochemical plating and chemical mechanical polishing. Mass metrology principles and methodology are discussed for monitoring etching, deposition, and cleaning steps in the TSV fabrication process.
Mage genes independent biomarker for prognosis 14-02-2012Cheng Luo
1. The document analyzes the correlation between methylation and gene expression of various MAGE genes.
2. Graphs show the relationships between methylation levels and gene expression levels for different MAGE genes.
3. Methylation is found to inhibit the expression of some MAGE genes, which could increase patient survival times.
Long term dynamics of macro-invertebrate biological traits with climate change. Presented by Alexander Milner at the "Perth II: Global Change and the World's Mountains" conference in Perth, Scotland in September 2010.
This document analyzes the relationship between methylation and gene expression for several genes. The graphs show that methylation inhibits or negatively correlates with expression for the MAGEA2B, MAGEB2, and MAGED2 genes. Methylation has little or no effect on the expression of MAGEA11 and MAGEA1 genes. Higher methylation levels correlate with increased expression of the MAGEH1 gene. Overall, the document demonstrates that methylation can both inhibit and promote gene expression depending on the specific gene.
This document analyzes the relationship between methylation levels and gene expression levels for various MAGE genes. Scatter plots and trend lines show that methylation inhibits or reduces the expression of many MAGE genes, though the relationship varies between genes. Higher methylation is correlated with lower expression for most genes analyzed.
How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdfChart Kalyan
A Mix Chart displays historical data of numbers in a graphical or tabular form. The Kalyan Rajdhani Mix Chart specifically shows the results of a sequence of numbers over different periods.
In the realm of cybersecurity, offensive security practices act as a critical shield. By simulating real-world attacks in a controlled environment, these techniques expose vulnerabilities before malicious actors can exploit them. This proactive approach allows manufacturers to identify and fix weaknesses, significantly enhancing system security.
This presentation delves into the development of a system designed to mimic Galileo's Open Service signal using software-defined radio (SDR) technology. We'll begin with a foundational overview of both Global Navigation Satellite Systems (GNSS) and the intricacies of digital signal processing.
The presentation culminates in a live demonstration. We'll showcase the manipulation of Galileo's Open Service pilot signal, simulating an attack on various software and hardware systems. This practical demonstration serves to highlight the potential consequences of unaddressed vulnerabilities, emphasizing the importance of offensive security practices in safeguarding critical infrastructure.
This document summarizes research comparing numerical methods to predict progressive collapse in lightweight aluminum vessels. It describes using nonlinear finite element analysis, an interframe progressive collapse method, and a compartment progressive collapse method. A case study applies these methods to box girder and catamaran models, finding the extended progressive collapse method can predict both interframe and compartment-level collapse while closely matching finite element results. Further work is identified to validate the method for additional loading cases and realistic ship structures.
The document shows a chart comparing average system load and renewable generation capacity over a winter weekday. Renewable generation from wind and solar photovoltaics is highest during the middle of the day and lowest at night, inversely matching the daily load pattern. Wind provides a more consistent generation level than solar. The chart illustrates the variability of renewable generation compared to customer load.
This document reviews different techniques for predicting solar irradiance levels including:
1) Numerical weather prediction models and statistical prediction for short to long term forecasting.
2) MOS (Model Output Statistics) techniques using sky cover products from weather centers for short term prediction.
3) Satellite-based methods comparing different approaches and error analysis for short term forecasting.
4) Signal analysis techniques including wavelet transforms and artificial neural networks combined with recurrent networks for improved prediction.
Future work proposed includes combining these methods along with normalized data and forecasts from weather centers to improve prediction accuracy across timescales.
Objective Determination Of Minimum Engine Mapping Requirements For Optimal SI...pmaloney1
The document discusses determining the minimum number of engine test points needed for optimal spark-ignition direct-injection engine calibration. Results found that approximately 100 spark sweeps were required to optimally calibrate the engine using a 2-stage modeling approach. A problem-solving approach was used that involved designing test matrices, developing 2-stage models, and comparing calibrations from reduced and exhaustive test designs.
2.overview of recent_technology_trends_in_energy-efficient_lightingdepohesap
This document provides an overview of recent trends in energy-efficient lighting technologies. It discusses the history of electric lighting and describes various common light source technologies including incandescent, halogen, fluorescent, and high intensity discharge lamps. For each technology, it covers aspects like efficacy, color rendering, lifetime, and ballast requirements. The document serves to inform readers about the characteristics and performance of different lighting options.
This document summarizes research on achieving high reliability and low-cost lead-free solder joints using manganese or cerium doping of tin-silver-copper (SAC) solder. Experimental results show that SAC doped with 0.05% manganese (SACM) or 0.02% cerium (SACC) outperforms baseline SAC105 and SAC305 alloys in drop test reliability and thermal cycling performance. Specifically, SACM and SACC exhibit higher drop test lifetimes and allow packages to withstand higher dynamic bending strains compared to SAC105 and SAC305. This research demonstrates that minor manganese or cerium doping of SAC alloys can improve
Evaluation Of 2 Motor Hybrid Architecturesjimpotter
The document evaluates 2-motor hybrid architectures, including single planetary gear set systems like the input summing hybrid seen in the Ford Escape and Toyota Prius, and dual planetary gear set systems. It provides details on the operation and features of input summing hybrid systems, and notes that while marketed as a combination of parallel and series hybrids, the engine remains mechanically coupled to the drive axle. The document also briefly discusses output split hybrid systems like in the Chevrolet Volt.
This document provides an overview of three-dimensional displays, from physiological depth cues to electronic holograms. It discusses depth cues our eyes use to perceive depth, including psychological cues like occlusion and physiological cues like binocular disparity. Examples of 3D displays that provide some depth cues, like lenticular sheets, are described. The document also covers holograms, including how they can provide all depth cues by reconstructing the original wavefront. It discusses challenges like the large amount of information in holograms and methods to reduce it, like rainbow and multiplex holograms. Computer generated and electronic holograms using dynamic modulators are also summarized.
This document provides specifications for a diode emitter. It begins with an image and description of the TSUS4300 infrared emitting diode in a clear plastic package. Key features listed include high radiant power and intensity, low forward voltage, suitability for DC and pulse operation, and a standard 3mm package size. Applications mentioned are infrared remote control systems and reflective sensors. The document concludes with absolute maximum ratings for the diode.
This document is a Smith chart that was created in 2009 by Alberto Tama Franco from ESPOL. The chart maps the normalized impedance and admittance coordinates used for analyzing electric circuits. It includes scales for resistance, conductance, capacitive reactance, and inductive reactance components.
The document discusses requirements for cognitive tests used in pre-dementia clinical trials. It notes that optimal tests must be relevant to core Alzheimer's cognitive impairments and everyday behavior. They should be sensitive to longitudinal impairment and treatment effects without ceiling or floor effects. Tests should have parallel forms, show minimal training effects after familiarization, and be administrable by impaired and unimpaired patients. It also lists some nice-to-have properties including brief administration, sensitivity to biomarkers and neurogenesis, and remote administration capabilities.
This document discusses using boosted decision trees to select important hyperspectral bands for geology classification. It aims to reduce dimensionality and processing time while maintaining classification accuracy. The method embeds band selection within the boosting process to identify the most informative bands. Experiments are conducted on hyperspectral data from an iron ore mine to evaluate the approach.
This document provides supplementary information to support a study on geometrically-locked vortex lattices in semiconductor quantum fluids. Figure S1 shows experimental data on the condensation phase transition that occurs in the quantum fluid above 10 mW of pumping power. Figure S2 demonstrates the conditions needed to observe stable interference between condensates from two pump spots, including the requirement that they have the same energy level. Figure S3 simulates the hexagonal lattice wavefunction that arises from the interference pattern. Figure S4 shows simulations of ordered square lattices that can form from interference between four plane waves.
Connectome Classification: Statistical Connectomics for Analysis of Connectom...Joshua Vogelstein
1. The document discusses statistical connectomics, which is the application of statistical analysis techniques to connectome data.
2. It presents an example classification analysis that used graph-based statistical models on MR connectome data to accurately classify subjects as male or female with over 83% accuracy.
3. The analysis involved preprocessing MR imaging data into connectome graphs, constructing a robust Bayes classifier on a estimated signal subgraph, and evaluating performance through cross-validation on real brain network data as well as synthetic data.
The document discusses the characterization of Through Silicon Via (TSV) processes using mass metrology. It outlines the TSV process sequence, which includes deep silicon etch and polymer clean, oxide liner deposition, barrier and seed deposition, and copper electrochemical plating and chemical mechanical polishing. Mass metrology principles and methodology are discussed for monitoring etching, deposition, and cleaning steps in the TSV fabrication process.
Mage genes independent biomarker for prognosis 14-02-2012Cheng Luo
1. The document analyzes the correlation between methylation and gene expression of various MAGE genes.
2. Graphs show the relationships between methylation levels and gene expression levels for different MAGE genes.
3. Methylation is found to inhibit the expression of some MAGE genes, which could increase patient survival times.
Long term dynamics of macro-invertebrate biological traits with climate change. Presented by Alexander Milner at the "Perth II: Global Change and the World's Mountains" conference in Perth, Scotland in September 2010.
This document analyzes the relationship between methylation and gene expression for several genes. The graphs show that methylation inhibits or negatively correlates with expression for the MAGEA2B, MAGEB2, and MAGED2 genes. Methylation has little or no effect on the expression of MAGEA11 and MAGEA1 genes. Higher methylation levels correlate with increased expression of the MAGEH1 gene. Overall, the document demonstrates that methylation can both inhibit and promote gene expression depending on the specific gene.
This document analyzes the relationship between methylation levels and gene expression levels for various MAGE genes. Scatter plots and trend lines show that methylation inhibits or reduces the expression of many MAGE genes, though the relationship varies between genes. Higher methylation is correlated with lower expression for most genes analyzed.
How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdfChart Kalyan
A Mix Chart displays historical data of numbers in a graphical or tabular form. The Kalyan Rajdhani Mix Chart specifically shows the results of a sequence of numbers over different periods.
In the realm of cybersecurity, offensive security practices act as a critical shield. By simulating real-world attacks in a controlled environment, these techniques expose vulnerabilities before malicious actors can exploit them. This proactive approach allows manufacturers to identify and fix weaknesses, significantly enhancing system security.
This presentation delves into the development of a system designed to mimic Galileo's Open Service signal using software-defined radio (SDR) technology. We'll begin with a foundational overview of both Global Navigation Satellite Systems (GNSS) and the intricacies of digital signal processing.
The presentation culminates in a live demonstration. We'll showcase the manipulation of Galileo's Open Service pilot signal, simulating an attack on various software and hardware systems. This practical demonstration serves to highlight the potential consequences of unaddressed vulnerabilities, emphasizing the importance of offensive security practices in safeguarding critical infrastructure.
Essentials of Automations: Exploring Attributes & Automation ParametersSafe Software
Building automations in FME Flow can save time, money, and help businesses scale by eliminating data silos and providing data to stakeholders in real-time. One essential component to orchestrating complex automations is the use of attributes & automation parameters (both formerly known as “keys”). In fact, it’s unlikely you’ll ever build an Automation without using these components, but what exactly are they?
Attributes & automation parameters enable the automation author to pass data values from one automation component to the next. During this webinar, our FME Flow Specialists will cover leveraging the three types of these output attributes & parameters in FME Flow: Event, Custom, and Automation. As a bonus, they’ll also be making use of the Split-Merge Block functionality.
You’ll leave this webinar with a better understanding of how to maximize the potential of automations by making use of attributes & automation parameters, with the ultimate goal of setting your enterprise integration workflows up on autopilot.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/how-axelera-ai-uses-digital-compute-in-memory-to-deliver-fast-and-energy-efficient-computer-vision-a-presentation-from-axelera-ai/
Bram Verhoef, Head of Machine Learning at Axelera AI, presents the “How Axelera AI Uses Digital Compute-in-memory to Deliver Fast and Energy-efficient Computer Vision” tutorial at the May 2024 Embedded Vision Summit.
As artificial intelligence inference transitions from cloud environments to edge locations, computer vision applications achieve heightened responsiveness, reliability and privacy. This migration, however, introduces the challenge of operating within the stringent confines of resource constraints typical at the edge, including small form factors, low energy budgets and diminished memory and computational capacities. Axelera AI addresses these challenges through an innovative approach of performing digital computations within memory itself. This technique facilitates the realization of high-performance, energy-efficient and cost-effective computer vision capabilities at the thin and thick edge, extending the frontier of what is achievable with current technologies.
In this presentation, Verhoef unveils his company’s pioneering chip technology and demonstrates its capacity to deliver exceptional frames-per-second performance across a range of standard computer vision networks typical of applications in security, surveillance and the industrial sector. This shows that advanced computer vision can be accessible and efficient, even at the very edge of our technological ecosystem.
Introduction of Cybersecurity with OSS at Code Europe 2024Hiroshi SHIBATA
I develop the Ruby programming language, RubyGems, and Bundler, which are package managers for Ruby. Today, I will introduce how to enhance the security of your application using open-source software (OSS) examples from Ruby and RubyGems.
The first topic is CVE (Common Vulnerabilities and Exposures). I have published CVEs many times. But what exactly is a CVE? I'll provide a basic understanding of CVEs and explain how to detect and handle vulnerabilities in OSS.
Next, let's discuss package managers. Package managers play a critical role in the OSS ecosystem. I'll explain how to manage library dependencies in your application.
I'll share insights into how the Ruby and RubyGems core team works to keep our ecosystem safe. By the end of this talk, you'll have a better understanding of how to safeguard your code.
Programming Foundation Models with DSPy - Meetup SlidesZilliz
Prompting language models is hard, while programming language models is easy. In this talk, I will discuss the state-of-the-art framework DSPy for programming foundation models with its powerful optimizers and runtime constraint system.
Conversational agents, or chatbots, are increasingly used to access all sorts of services using natural language. While open-domain chatbots - like ChatGPT - can converse on any topic, task-oriented chatbots - the focus of this paper - are designed for specific tasks, like booking a flight, obtaining customer support, or setting an appointment. Like any other software, task-oriented chatbots need to be properly tested, usually by defining and executing test scenarios (i.e., sequences of user-chatbot interactions). However, there is currently a lack of methods to quantify the completeness and strength of such test scenarios, which can lead to low-quality tests, and hence to buggy chatbots.
To fill this gap, we propose adapting mutation testing (MuT) for task-oriented chatbots. To this end, we introduce a set of mutation operators that emulate faults in chatbot designs, an architecture that enables MuT on chatbots built using heterogeneous technologies, and a practical realisation as an Eclipse plugin. Moreover, we evaluate the applicability, effectiveness and efficiency of our approach on open-source chatbots, with promising results.
Discover top-tier mobile app development services, offering innovative solutions for iOS and Android. Enhance your business with custom, user-friendly mobile applications.
How information systems are built or acquired puts information, which is what they should be about, in a secondary place. Our language adapted accordingly, and we no longer talk about information systems but applications. Applications evolved in a way to break data into diverse fragments, tightly coupled with applications and expensive to integrate. The result is technical debt, which is re-paid by taking even bigger "loans", resulting in an ever-increasing technical debt. Software engineering and procurement practices work in sync with market forces to maintain this trend. This talk demonstrates how natural this situation is. The question is: can something be done to reverse the trend?
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 .
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-und-domino-lizenzkostenreduzierung-in-der-welt-von-dlau/
DLAU und die Lizenzen nach dem CCB- und CCX-Modell sind für viele in der HCL-Community seit letztem Jahr ein heißes Thema. Als Notes- oder Domino-Kunde haben Sie vielleicht mit unerwartet hohen Benutzerzahlen und Lizenzgebühren zu kämpfen. Sie fragen sich vielleicht, wie diese neue Art der Lizenzierung funktioniert und welchen Nutzen sie Ihnen bringt. Vor allem wollen Sie sicherlich Ihr Budget einhalten und Kosten sparen, wo immer möglich. Das verstehen wir und wir möchten Ihnen dabei helfen!
Wir erklären Ihnen, wie Sie häufige Konfigurationsprobleme lösen können, die dazu führen können, dass mehr Benutzer gezählt werden als nötig, und wie Sie überflüssige oder ungenutzte Konten identifizieren und entfernen können, um Geld zu sparen. Es gibt auch einige Ansätze, die zu unnötigen Ausgaben führen können, z. B. wenn ein Personendokument anstelle eines Mail-Ins für geteilte Mailboxen verwendet wird. Wir zeigen Ihnen solche Fälle und deren Lösungen. Und natürlich erklären wir Ihnen das neue Lizenzmodell.
Nehmen Sie an diesem Webinar teil, bei dem HCL-Ambassador Marc Thomas und Gastredner Franz Walder Ihnen diese neue Welt näherbringen. Es vermittelt Ihnen die Tools und das Know-how, um den Überblick zu bewahren. Sie werden in der Lage sein, Ihre Kosten durch eine optimierte Domino-Konfiguration zu reduzieren und auch in Zukunft gering zu halten.
Diese Themen werden behandelt
- Reduzierung der Lizenzkosten durch Auffinden und Beheben von Fehlkonfigurationen und überflüssigen Konten
- Wie funktionieren CCB- und CCX-Lizenzen wirklich?
- Verstehen des DLAU-Tools und wie man es am besten nutzt
- Tipps für häufige Problembereiche, wie z. B. Team-Postfächer, Funktions-/Testbenutzer usw.
- Praxisbeispiele und Best Practices zum sofortigen Umsetzen
Ivanti’s Patch Tuesday breakdown goes beyond patching your applications and brings you the intelligence and guidance needed to prioritize where to focus your attention first. Catch early analysis on our Ivanti blog, then join industry expert Chris Goettl for the Patch Tuesday Webinar Event. There we’ll do a deep dive into each of the bulletins and give guidance on the risks associated with the newly-identified vulnerabilities.
Have you ever been confused by the myriad of choices offered by AWS for hosting a website or an API?
Lambda, Elastic Beanstalk, Lightsail, Amplify, S3 (and more!) can each host websites + APIs. But which one should we choose?
Which one is cheapest? Which one is fastest? Which one will scale to meet our needs?
Join me in this session as we dive into each AWS hosting service to determine which one is best for your scenario and explain why!
Digital Banking in the Cloud: How Citizens Bank Unlocked Their MainframePrecisely
Inconsistent user experience and siloed data, high costs, and changing customer expectations – Citizens Bank was experiencing these challenges while it was attempting to deliver a superior digital banking experience for its clients. Its core banking applications run on the mainframe and Citizens was using legacy utilities to get the critical mainframe data to feed customer-facing channels, like call centers, web, and mobile. Ultimately, this led to higher operating costs (MIPS), delayed response times, and longer time to market.
Ever-changing customer expectations demand more modern digital experiences, and the bank needed to find a solution that could provide real-time data to its customer channels with low latency and operating costs. Join this session to learn how Citizens is leveraging Precisely to replicate mainframe data to its customer channels and deliver on their “modern digital bank” experiences.
zkStudyClub - LatticeFold: A Lattice-based Folding Scheme and its Application...Alex Pruden
Folding is a recent technique for building efficient recursive SNARKs. Several elegant folding protocols have been proposed, such as Nova, Supernova, Hypernova, Protostar, and others. However, all of them rely on an additively homomorphic commitment scheme based on discrete log, and are therefore not post-quantum secure. In this work we present LatticeFold, the first lattice-based folding protocol based on the Module SIS problem. This folding protocol naturally leads to an efficient recursive lattice-based SNARK and an efficient PCD scheme. LatticeFold supports folding low-degree relations, such as R1CS, as well as high-degree relations, such as CCS. The key challenge is to construct a secure folding protocol that works with the Ajtai commitment scheme. The difficulty, is ensuring that extracted witnesses are low norm through many rounds of folding. We present a novel technique using the sumcheck protocol to ensure that extracted witnesses are always low norm no matter how many rounds of folding are used. Our evaluation of the final proof system suggests that it is as performant as Hypernova, while providing post-quantum security.
Paper Link: https://eprint.iacr.org/2024/257
Fueling AI with Great Data with Airbyte WebinarZilliz
This talk will focus on how to collect data from a variety of sources, leveraging this data for RAG and other GenAI use cases, and finally charting your course to productionalization.
1. COMPARTMENT LEVEL PROGRESSIVE COLLAPSE
ANALYSIS OF A LIGHTWEIGHT HULL GIRDER
Simon Benson, Jonathan Downes and Robert S. Dow
School of Marine Science and Technology
2. 2
Contents
Motivation
The Smith Progressive Collapse Method
The Extended Progressive Collapse Method
Case Study – Aluminium Multihull
Conclusions
3. 3
Motivation
Office of Naval Research (ONR) project:
“Structural Performance of Lightweight Naval Vessels”
Development and extension of hull girder progressive
collapse analysis methodologies:
Ultimate Strength Analysis
Limit State Design
Optimisation
Reliability
Damage Strength
Recoverability
Evaluation of longitudinal bending capacity of the hull girder
Solution methods:
Simplified Progressive Collapse Analysis
Nonlinear Finite Element Analysis
4. Motivation
Established hull girder progressive collapse methods have
been developed primarily for STEEL ships.
How do we adapt these approaches to lightweight ships?
Two general approaches:
Simplified analytical methods (e.g. progressive collapse):
Fast and efficient
Simplifying assumptions
Implicit characterisation of material and geometric imperfections
Nonlinear finite element methods (FEM):
Computationally expensive
Requires explicit characterisation of all material and geometric properties in
the FE model
Which methods are suitable for reliability analysis?
5. Interframe Progressive Collapse Method
5083-H116 Plate Load Shortening Curves
Define (midship) HAZ Ratio (HR) = 8
cross section 1
0.9
Normalised Stress, s' = save / s0
0.8
0.7
Element 0.6
0.5
b=2
Subdivision 0.4
0.3
0.2
0.1
0
Load shortening curve 0 0.2 0.4 0.6 0.8 1 1.2 1.4 1.6 1.8 2
Normalised strain, e' = e ave / e 0
assigned to element
Curvature / BM
increment Assumptions:
Cross-section remains plane
1.50
Bending Moment, Mx (N.mm) x 10-10
1.00
Find equilibrium NA Interframe buckling 0.50
position hog
Panel elements act independently 0.00
sag
-0.50 Progressive Collapse - 150mm hard corners
Abaqus 5bay model (50mm element size)
-1.00
Calculate incremental Abaqus 5bay model (25mm element size)
-1.50
Bending Moment -4.00 -3.00 -2.00 -1.00 0.00 1.00 2.00 3.00 4.00
Curvature, C (1/mm) x 106
6. Extended Progressive Collapse Method
Define (midship)
cross section
Extends the approach used to define the
Element element behaviour
Subdivision Revised Assumptions:
Cross section remains plane (as before)
Load shortening curve Compartment level elements
assigned to element Elements do not act independently
Interframe and overall buckling properties
Curvature / BM combined
increment
Find equilibrium NA
position
Calculate incremental
Bending Moment
7. 7
Extended Progressive Collapse Method
Element Definition
Standard approach:
Plate-stiffener combination elements
Hard corners
Each element assigned a load
shortening curve (LSC)
Element does not have to
correspond directly to LSC
Refine for accuracy in calculations
LSC can represent global elements
LSC can be calculated for:
Components (plates, stiffeners)
Plate-stiffener combinations
Orthogonal stiffened panels
Panel strength calculated by a semi
analytical orthotropic plate method
8. 8
Extended Progressive Collapse Method
Panel Load Shortening Curves
Derived using a semi analytical method
Increments of end strain/displacement
At each increment:
1. Evaluate component (plate and stiffener) resistance
2. Calculate combined resistance
3. Evaluate beam column (interframe) strength and compare
4. Evaluate panel (overall) strength and compare
5. Derive increment of load shortening curve
Panel strength derived using a large deflection orthotropic
plate method
Method uses instantaneous component stiffness properties
Panel LSC can be assigned to small elements
9. 9
Extended Progressive Collapse Method
Implementation - ProColl
A GUI Interface for the extended
progressive collapse method
Interframe and compartment
level analyses
Runs vertical bending or
combinations of vertical and
horizontal (interaction diagram)
Increments of curvature or
bending moment
Post processor capabilities
Generate element load
shortening curves
Process BM vs. curvature plots
Graphically display element
stiffness and NA position
12. 12
Case Study: Aluminium Multihull
Interframe Analysis
Interframe LSCs
Close correlation to
equivalent FEM
13. Case Study: Aluminium Multihull
Interframe Analysis
Sag Bending Moment
Interframe Results
Very close agreement
between FEM and PColl
14. 14
Case Study: Aluminium Multihull
Compartment Analysis
Top Deck LSC
Overall Buckling
Reduction in ultimate
strength
Close agreement between
FEM and semi analytical
method
15. Case Study: Aluminium Multihull
Compartment Analysis
7 bay results:
reduction in ultimate strength
Buckling of top deck prior to
ultimate strength point
Buckling of second deck at ultimate
strength point
Close agreement between FEM and
PColl
Top Deck Load Shortening
Curve:
Accounts for different longitudinal
stiffener sizes
17. 17
Conclusions
We propose an extended progressive collapse methodology
Utilises a semi analytical method to predict compartment level load
shortening curves
Case study progressive collapse assessment of an aluminium multihull is
presented:
Shows significant strength reduction due to compartment level buckling
Good correlation to FEM results
Both FEM and simplified methods can produce reasonable and valid
solutions for the compartment level progressive collapse problem