1, To evaluate current version of SSSCs installed at IDC (Russian Federation-United States Joint Calibration Program)
2. To test and evaluate various sets of SSSCs with highest emphasis in GT0-2 explosions
3. To develop procedures for SSSCs validation
4. To study location problem in presence of correlated errors and deviations from Gaussian statistics
5. To select sets or subsets of proposed SSSCs for installation into routine IDC processing
Filter-Type Fault Detection and Exclusion (FDE) on Multi-Frequency GNSS ReceiverYi-Hsueh Tsai
1. Introduction
2. GNSS Architecture, Observables, and Covenantal Fault
3. Detection and Exclusion
4. Using Multi-Frequency Tech. on FDE
5. Using ARMA-Filter on FDE
6. Using Kalman Filter on FDE
7. Conclusions and Future Works
Filter-Type Fault Detection and Exclusion (FDE) on Multi-Frequency GNSS ReceiverYi-Hsueh Tsai
1. Introduction
2. GNSS Architecture, Observables, and Covenantal Fault
3. Detection and Exclusion
4. Using Multi-Frequency Tech. on FDE
5. Using ARMA-Filter on FDE
6. Using Kalman Filter on FDE
7. Conclusions and Future Works
By Yann Casamajou technical. product line manager Ixblue
With DP-PHINS, iXBlue has expanded the functionality of its industry-leading PHINS inertial navigation system (INS).
The new DP-PHINS is designed to interface with any third-party acoustic positioning equipment to provide INS-enhanced acoustic data input to marine dynamic positioning (DP) systems. Additionally DP-PHINS can also take data from a range of other sensors, some not normally associated with DP, such as Doppler velocity logs (DVL), for use in maintaining vessel position.
Using DP-PHINS with INS produces positioning data that is smoother, more accurate and is updated at a higher rate. Consequently, station-keeping performance is significantly improved, vessels use less fuel, and wear and tear on the DP system components is reduced.
The system has been fully qualified at sea with industry leaders operating in West Africa O&G development field.
Acoustic and seismic effects of the 2013 Chelyabinsk meteorite as measured by...Ivan Kitov
Two events crucial for monitoring of nuclear explosions under the CTBT occurred on February 12 and 15 and attracted attention of the mass media and scientists. Seismic waves from the underground event and infrasound waves from the meteorite are of extreme interest as well as various processes of energy conversion at the free surface. Infrasound station I45(RU) collocated with seismic array USRK recorded the epicentral I-phase generated by the DPRK 2013 event and the seismoacoustic wave emitted beneath the station. The shock wave from the Chebarkul meteorite generated a regular I-phase recorded by many IMS infrasound stations and a series of seismic phases likely associated with impact and acoustoseismic conversion. Due to the altitude of the peak energy release, the air-coupled ground rolls with a group velocity of 3.5 km/s were generated. A similar pattern was observed after the 1984 r.Chulym (Siberia) bolide. We estimate the energy of both sources and discuss possible mechanisms of acoustic/seismic wave generation and conversion.
In this unit we explain how jumps and loops can be implemented in assembler on the UoS Educational Processor.
We also explain how for loops constructs expressed in C translate naturally to equivalent assembler constructs.
Unit duration: 50mn.
License: LGPL 2.1
By Yann Casamajou technical. product line manager Ixblue
With DP-PHINS, iXBlue has expanded the functionality of its industry-leading PHINS inertial navigation system (INS).
The new DP-PHINS is designed to interface with any third-party acoustic positioning equipment to provide INS-enhanced acoustic data input to marine dynamic positioning (DP) systems. Additionally DP-PHINS can also take data from a range of other sensors, some not normally associated with DP, such as Doppler velocity logs (DVL), for use in maintaining vessel position.
Using DP-PHINS with INS produces positioning data that is smoother, more accurate and is updated at a higher rate. Consequently, station-keeping performance is significantly improved, vessels use less fuel, and wear and tear on the DP system components is reduced.
The system has been fully qualified at sea with industry leaders operating in West Africa O&G development field.
Acoustic and seismic effects of the 2013 Chelyabinsk meteorite as measured by...Ivan Kitov
Two events crucial for monitoring of nuclear explosions under the CTBT occurred on February 12 and 15 and attracted attention of the mass media and scientists. Seismic waves from the underground event and infrasound waves from the meteorite are of extreme interest as well as various processes of energy conversion at the free surface. Infrasound station I45(RU) collocated with seismic array USRK recorded the epicentral I-phase generated by the DPRK 2013 event and the seismoacoustic wave emitted beneath the station. The shock wave from the Chebarkul meteorite generated a regular I-phase recorded by many IMS infrasound stations and a series of seismic phases likely associated with impact and acoustoseismic conversion. Due to the altitude of the peak energy release, the air-coupled ground rolls with a group velocity of 3.5 km/s were generated. A similar pattern was observed after the 1984 r.Chulym (Siberia) bolide. We estimate the energy of both sources and discuss possible mechanisms of acoustic/seismic wave generation and conversion.
In this unit we explain how jumps and loops can be implemented in assembler on the UoS Educational Processor.
We also explain how for loops constructs expressed in C translate naturally to equivalent assembler constructs.
Unit duration: 50mn.
License: LGPL 2.1
Testing the global grid of master events for waveform cross correlation with ...Ivan Kitov
Abstract
The Comprehensive Nuclear-Test-Ban Treaty’s verification regime requires uniform distribution of monitoring capabilities over the globe. The use of waveform cross correlation as a monitoring technique demands waveform templates from master events outside regions of natural seismicity and test sites. We populated aseismic areas with masters having synthetic templates for predefined sets (from 3 to 10) of primary array stations of the International Monitoring System. Previously, we tested the global set of master events and synthetic templates using IMS seismic data for February 12, 2013 and demonstrated excellent detection and location capability of the matched filter technique. In this study, we test the global grid of synthetic master events using seismic events from the Reviewed Event Bulletin. For detection, we use standard STA/LTA (SNR) procedure applied to the time series of cross correlation coefficient (CC). Phase association is based on SNR, CC, and arrival times. Azimuth and slowness estimates based f-k analysis cross correlation traces are used to reject false arrivals.
Recovery of aftershock sequences using waveform cross correlation: from catas...Ivan Kitov
Description of a software package for signal detection and association using waveform cross correlation. Recovery of aftershock sequences of the largest events: Sumatra 2004 and Tohoku 2011. Finding of a small aftershock of the September 9, 2016 DPRK test.
Multi-channel Detector Readout Integrated Circuits with ADCs for X-ray and Ga...Gunnar Maehlum
We are developing detector readout integrated circuits (ROICs) for X-ray and Gamma-ray spectroscopy. The ROICs are applications specific (ASICs) for satellite instrumentation in space. The ICs described in this article belong to the VATA family with integrated analog-to-digital converters (ADCs) for fully digital readout of x-ray and gamma-ray detectors. The VATAs are ideal for the readout of cadmium zinc telluride (CZT), cadmium telluride (CdTe), silicon pads and strips, and large area avalanche photodiodes (APDs) with scintillators.
Optically pumped cesium enabling ePRC and ePRTC Class BADVA
Alain Michaud's ITSF 2017 slideshow outlines how new synchronization technology based on optical pumping can deliver major improvements in frequency stability.
Assessing the consistency, quality, and completeness of the Reviewed Event Bu...Ivan Kitov
The Reviewed Event Bulletin (REB) of the IDC includes more than 500,000 events with associated seismic phases. The quality of these events and its completeness depends on multistage automatic processing followed by interactive analysis. The IDC raw data archive allows to apply the method of waveform cross correlation (WCC) for assessment of the similarity between seismic signals associated with REB events, and thus, the overall bulletin consistency. For cross correlation, we create a global set of master-events (ME) in the areas where reliable seismic events are available in the REB. Using only events within 3 degrees from a given ME, we apply the Principal Component Analysis to signals at each associated station. The major components are used to build synthetic MEs. Using real and synthetic MEs, we process continuous data in a specified region with the aim to find new REB-compatible events, which are missing from the REB. Therefore, the developed method allows to test REB consistency, quality, and completeness in any specified region or globally. It can also be thought as an alternative to the manual spot check during an independent review of the REB in routine IDC event analysis or as an additional tool for the independent reviewer.
Detection and location of small aftershocks using waveform cross correlationIvan Kitov
Aftershock sequences of earthquakes with magnitudes 5.0 and lower are difficult to detect and locate by sparse regional networks. Signals from aftershocks with magnitudes 2 to 3 are usually below detection thresholds of standard 3-C seismic stations at near regional distances. For seismic events close in space, the method waveform cross correlation (WCC) allows to reduce detection threshold by at least a unit of magnitude and to improve location precision to a few kilometres. Therefore, the WCC method is directly applicable to weak aftershock sequences. Here, we recover seismic activity after the earthquake near the town of Mariupol (Ukraine) occurred on August 7, 2016. The main shock was detected by many stations of the International monitoring system (IMS), including the closest primary IMS array stations AKASG (6.62 deg.) and BRTR (7.81), as well as 3-C station KBZ (5.00). The International data centre located this event (47.0013N, 37.5427E), estimated its origin time (08:15:4.1 UTC), magnitude (mb=4.5), and depth (6.8 km). This event was also detected by two array stations of the Institute for Dynamics of Geospheres (IDG) of the Russian Academy of Sciences (RAS): portable 3-C array RDON (3.28), which is the closest station, and MHVAR (7.96). Using signals from the main shock at five stations as waveform templates, we calculated continuous traces of cross correlation coefficient (CC) from the 7th to the 11th of August. We found that the best templates should include all regional phases, and thus, have the length from 80 s to 180 s. For detection, we used standard STA/LTA method with threshold depending on station. The accuracy of onset time estimation by the STA/LTA detector based on CC-traces is close to one sample, which varies from 0.05 s at BRTR to 0.005 s for RDON and MHVAR. Arrival times of all detected signals were reduced to origin times using the observed travel times from the main shock. Clusters of origin times are considered as event hypotheses in the phase association procedure. As a result, we found 12 aftershocks with magnitudes between 1.5 and 3.5. These small events were detected neither by the IDC nor by the near regional network of the Geophysical Survey of RAS, which has three closest 3-C stations at distances of 2.2 to 3.5 degrees from the studied earthquake. We also applied procedure of relative location and all aftershocks were found within a few km from the main shock.
Waveform cross correlation: coherency of seismic signals estimated from repea...Ivan Kitov
Waveform cross correlation (WCC) is an optimal detection technique for signals from spatially close seismic sources. Observations at various distances from a multitude of sources in a variety of seismotectonic and geological conditions demonstrate that signals from close events recorded at common stations are characterized by high level of similarity. Signals from remote sources are less similar mainly because of the variations in propagation paths. Different parts of a complete seismic wavetrain have different sensitivity to the propagation path. The initial part retains general characteristics of the source time function. The shape of later seismic phases is chiefly defined by propagation path. Here, we investigate the level of similarity between hundreds of signals generated by chemical blasts within a phosphate mine in Jordan and measured by 5 seismic stations at near-regional distances. We have revealed a much higher similarity of the first 3 s to 5 s of signals from different blasts, also at distances of about 20 km, at the same station as well as at different stations. This observation evidences in favour of high coherency in the initial part of signals at all stations. We also demonstrate that the observed coherency allows the use of very short (say, 3 s) waveform templates for detection and further phase association of signals based on cross correlation. Longer templates are characterized by larger overall signal specificity, which may reduce detection threshold and spatial resolution of the WCC method. However, different propagation paths within the same geological province may have similar transfer functions producing regular seismic phases with similar shapes independent on source position. This may increase the number of false detections from remote sources. We compare the performance of short and long waveform templates using detection statistics and the results of event hypotheses creation and further event location.
Remote detection of weak aftershocks of the DPRK underground explosions using...Ivan Kitov
We have estimated the performance of discrimination criterion based on the P/S spectral amplitude ratios obtained from six underground tests conducted by the DPRK since October 2006 and six aftershocks induced by the last two explosions. Two aftershocks were detected in routine processing at the International Data Centre of the Comprehensive Nuclear-Test-Ban Treaty Organization. Three aftershocks were detected by a prototype waveform cross correlation tool with explosions as master events, and one aftershock was found with the aftershocks as master events. Two seismic arrays USRK and KSRS of the International Monitoring System (IMS) and two non-IMS 3-component stations SEHB (South Korea) and MDJ (China) were used. With increasing frequency, all stations demonstrate approximately the same level of deviation between the Pg/Lg spectral amplitude ratios belonging to the DPRK explosions and their aftershocks. For a single station, simple statistical estimates show that the probability of any of six aftershocks not to be a sample from the explosion population is larger than 99.996% at the KSRS and even larger at USRK. The probability of any of the DPRK explosion to be a representative of the aftershock population is extremely small as defined by the distance of 20 and more standard deviations to the mean explosion Pg/Lg value. For network discrimination, we use the Mahalanobis distance combining the Pg/Lg estimates at three stations: USRK, KSRS and MDJ. At frequencies above 4 Hz, the (squared) Mahalanobis distance, D2, between the populations of explosions and aftershocks is larger than 100. In the frequency band between 6 and 12 Hz at USRK, the aftershocks distance from the average explosion D2>21,000. Statistically, the probability to mix up explosions and aftershocks is negligible. These discrimination results are related only to the aftershocks of the DPRK tests and cannot be directly extrapolated to the population of tectonic earthquakes in the same area.
Investigation of repeated events at Jordan phosphate mine with waveform cross...Ivan Kitov
More than 1500 events were measured at 3 seismic stations. Their signals are processed using waveform cross correlation and Principal Component Analysis. The best waveforms and eigenvectors are used for detection.
Investigation of repeated blasts at Aitik mine using waveform cross correlationIvan Kitov
We present results of signal detection from repeated events at the Aitik and Kiruna mines in Sweden as based on waveform cross correlation. Several advanced methods based on tensor Singular Value Decomposition is applied to waveforms measured at seismic array ARCES, which consists of three-component sensors.
The use of waveform cross correlation for creation of an accurate catalogue o...Ivan Kitov
Page 3
In the current study of mining activity within the Russian platform, we use the advantages of location and historical bulletins/catalogues of mining explosions recorded by small-aperture seismic array Mikhnevo (MHVAR). The Institute of Geospheres Dynamics (IDG) of the Russian Academy of Sciences runs seismic array MHVAR (54.950N; 37.767E) since 2004.
Small-aperture seismic array “Mikhnevo” includes ten vertical stations (solid triangles), with one station in the geometrical centre of the array (C00) and other nine stations distributed over three circles with radii of 130 m, 320 m, and 600 m. The array aperture in approximately 1.1 km. Two 3C stations (solid triangles in circles) were added to the outer circle in order to improve the overall stations sensitivity (detection threshold) and resolution. All stations are equipped with short-period seismometers SM3-KV, which are characterized by flat response between 0.8 Hz and 30 Hz and gain of 180,000 [Vs/m]. Later, a 3C broad band station (BB) was installed in the centre of the array for surface wave measurements. The array response function (only for 12 vertical channels) is similar to that for many small-aperture arrays. Such arrays are designed to measure high-frequency signals from regional and near-regional sources with magnitudes above 1.5-2.0.
Page 4
MHVAR detects regional seismic phases (Pn, Sn, Lg, Rg) from various sources. Figure shows some selected waveforms with source-station distance decreasing up-down. Correspondingly the length of records decreases – for the closest mines it’s harder to distinguish between P and S phases.
Page 5
More than 50 areas at regional and near regional distances with different levels of mining activity have been identified by MHVAR. Since 2004, thousands of events have been reported in the IDG seismic catalogue as mining explosions. The IDG publishes this mining event catalogue as a part of the annual issues of “Earthquakes in Russia”, which is available for the broader geophysical community. The map shows several selected mines at near-regional distances where MHVAR successfully detects events with magnitudes 1.0 and lower. We also show a few selected mines at regional distances with the largest events of magnitude (ML) 2.0 and above. Such events should be also detected by IMS arrays. Joint interpretation of signals detected by MHVAR and IMS arrays allows significant improvements in signal detection, location, characterization and identification of events in the IDG catalogue when the historical data are revisited. The work on joint analysis of the IDG and IMS data is possible under the “Contract for limited access to IMS data and IDC products” between the CTBTO and IDG, which allows obtaining data through 2011.
To begin with, we have chosen blasts with larger magnitudes from well-known ironstone mine Mikhailovskiy (red circle), which is situated at regional distances somewhere between MHVAR (~330 km) and IMS array AKASG
Inflation, Unemployment, and Labor Force: The Phillips Curve and Long-term Pr...Ivan Kitov
Inflation, Unemployment, and Labor Force: The Phillips Curve and Long-term Projections for Japan
presented at
Euro Area Business Cycle Network (EABCN)
Inflation Developments after the Great Recession
Eltville (Frankfurt), 6-7 December 2013
Hosted by the Deutsche Bundesbank;
Sponsored by the EABCN
Big Data solution for CTBT monitoring:CEA-IDC joint global cross correlation ...Ivan Kitov
Cross correlation of seismic waveforms from the IDC 15-year archive needs a BigData solution. Joint efforts are aimed at solving scientific and technical problems/
Joint interpretation of infrasound, acoustic, and seismic waves from meteorit...Ivan Kitov
Sources of signals
Peak energy release. Acoustic (low-amplitude shock) wave
Infrasound source vs. seismic source
Seismic waves: Pn, Lg
Acousto-seismic waves: LR, LQ
Comparison with atmospheric nuclear tests: Love and Rayleigh waves
Comparison with the 1987 Chulym meteorite
Synthetics vs. real waveforms from underground nuclear explosions as master t...Ivan Kitov
The cross-correlation (CC) and master event technique is efficient in Comprehensive Nuclear-Test Ban Treaty (CTBT) monitoring. Two primary goals of CTBT monitoring are detection and location of nuclear explosions. Therefore, the CC monitoring should be focused on finding such events. The use of physically adequate masters may increase the number of valid events in the Reviewed Event Bulletin (REB) of the International Data Centre by a factor of 2. Inadequate master events may increase the number of irrelevant events in REB and reduce the sensitivity of the CC technique to valid events. In order to cover the entire earth, including vast aseismic territories, with the CC based nuclear test monitoring we conducted a thorough research and defined the most appropriate real and synthetic master events representing underground explosion sources. A procedure was developed on optimizing the master event simulation based on principal component analysis with bootstrap aggregation as a dimension reduction technique narrowing the classes of CC templates used in detection and location process. Actual waveforms and metadata from the DTRA Verification Database were used to validate our approach. The detection and location results based on real and synthetic master events were compared.
Performance of waveform cross correlation using a global and regular grid of ...Ivan Kitov
Outline
1.Motivation
2.Global seismic monitoring: IMS
3.Global seismicity: IDC view
4.Global cross correlation grid: a design
5.Cross correlation at teleseismic distances
6.Underground nuclear explosions as master events
7.Synthetic master events
8.Principal and Independent Component Analysis
9.Testing with world seismicity of February 12, 2013
10. DPRK 2013 of February 12, 2013
The dynamics of personal income distribution and inequality in the United StatesIvan Kitov
We model the evolution of age-dependent personal income distribution and inequality
as expressed by the Gini ratio. In our framework, inequality is an emergent property of a
theoretical model we develop for the dynamics of individual incomes. The model relates
the evolution of personal income to the individual’s capability to earn money, the size of
her work instrument, her work experience and aggregate output growth. Our model is
calibrated to the single-year population cohorts as well as the personal incomes data in 10-
and 5- year age bins available from March Current Population Survey (CPS). We predict
the dynamics of personal incomes for every single person in the working-age population
in the USA between 1930 and 2011. The model output is then aggregated to construct
annual age-dependent and overall personal income distributions (PID) and to compute the
Gini ratios. The latter are predicted very accurately - up to 3 decimal places. We show
that Gini for people with income is approximately constant since 1930, which is confirmed
empirically. Because of the increasing proportion of people with income between 1947 and
1999, the overall Gini reveals a tendency to decline slightly with time. The age-dependent
Gini ratios have different trends. For example, the group between 55 and 64 years of age
does not demonstrate any decline in the Gini ratio since 2000. In the youngest age group
(from 15 to 24 years), however, the level of income inequality increases with time. We also
find that in the latter cohort the average income decreases relatively to the age group with
the highest mean income. Consequently, each year it is becoming progressively harder for
young people to earn a proportional share of the overall income.
Global grid of master events for waveform cross correlation: design and testingIvan Kitov
Seismic monitoring of the Comprehensive Nuclear-Test-Ban Treaty requires a uniform coverage of the earth. The global use of waveform cross correlation for monitoring purposes is hindered by the absence of master events outside the zones of seismic activity. To populate the aseismic areas we have studied two principal approaches. Around the seismically active areas, we replicate real events best representing seismicity in a given region and distribute them over a regular grid to distances ~1000 km. These replicated events are called “grand masters”. For remote aseismic areas, we calculate synthetic seismograms for a regular grid of master events and a predefined set of array stations of the International Monitoring System. Both approaches were tested and showed a resolution similar to the use of real events. Considering three types of master events, we have created a regular and uniform grid with approximately 100 km spacing between nodes as obtained from the equilibrium distribution of charged particles over the earth’s surface. We have created three versions of the grid: v0.1 with only synthetic templates, v0.2 with real masters added where possible, and v0.3 with grand masters added. The performance of v0.1 has been assessed by full processing of a few data days.
Key words: waveform cross correlation, master events, seismic monitoring, array seismology, IDC, CTBT
Climate Impact of Software Testing at Nordic Testing DaysKari Kakkonen
My slides at Nordic Testing Days 6.6.2024
Climate impact / sustainability of software testing discussed on the talk. ICT and testing must carry their part of global responsibility to help with the climat warming. We can minimize the carbon footprint but we can also have a carbon handprint, a positive impact on the climate. Quality characteristics can be added with sustainability, and then measured continuously. Test environments can be used less, and in smaller scale and on demand. Test techniques can be used in optimizing or minimizing number of tests. Test automation can be used to speed up testing.
Maruthi Prithivirajan, Head of ASEAN & IN Solution Architecture, Neo4j
Get an inside look at the latest Neo4j innovations that enable relationship-driven intelligence at scale. Learn more about the newest cloud integrations and product enhancements that make Neo4j an essential choice for developers building apps with interconnected data and generative AI.
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
zkStudyClub - Reef: Fast Succinct Non-Interactive Zero-Knowledge Regex ProofsAlex Pruden
This paper presents Reef, a system for generating publicly verifiable succinct non-interactive zero-knowledge proofs that a committed document matches or does not match a regular expression. We describe applications such as proving the strength of passwords, the provenance of email despite redactions, the validity of oblivious DNS queries, and the existence of mutations in DNA. Reef supports the Perl Compatible Regular Expression syntax, including wildcards, alternation, ranges, capture groups, Kleene star, negations, and lookarounds. Reef introduces a new type of automata, Skipping Alternating Finite Automata (SAFA), that skips irrelevant parts of a document when producing proofs without undermining soundness, and instantiates SAFA with a lookup argument. Our experimental evaluation confirms that Reef can generate proofs for documents with 32M characters; the proofs are small and cheap to verify (under a second).
Paper: https://eprint.iacr.org/2023/1886
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Communications Mining Series - Zero to Hero - Session 1DianaGray10
This session provides introduction to UiPath Communication Mining, importance and platform overview. You will acquire a good understand of the phases in Communication Mining as we go over the platform with you. Topics covered:
• Communication Mining Overview
• Why is it important?
• How can it help today’s business and the benefits
• Phases in Communication Mining
• Demo on Platform overview
• Q/A
A tale of scale & speed: How the US Navy is enabling software delivery from l...sonjaschweigert1
Rapid and secure feature delivery is a goal across every application team and every branch of the DoD. The Navy’s DevSecOps platform, Party Barge, has achieved:
- Reduction in onboarding time from 5 weeks to 1 day
- Improved developer experience and productivity through actionable findings and reduction of false positives
- Maintenance of superior security standards and inherent policy enforcement with Authorization to Operate (ATO)
Development teams can ship efficiently and ensure applications are cyber ready for Navy Authorizing Officials (AOs). In this webinar, Sigma Defense and Anchore will give attendees a look behind the scenes and demo secure pipeline automation and security artifacts that speed up application ATO and time to production.
We will cover:
- How to remove silos in DevSecOps
- How to build efficient development pipeline roles and component templates
- How to deliver security artifacts that matter for ATO’s (SBOMs, vulnerability reports, and policy evidence)
- How to streamline operations with automated policy checks on container images
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
UiPath Test Automation using UiPath Test Suite series, part 6DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
In his public lecture, Christian Timmerer provides insights into the fascinating history of video streaming, starting from its humble beginnings before YouTube to the groundbreaking technologies that now dominate platforms like Netflix and ORF ON. Timmerer also presents provocative contributions of his own that have significantly influenced the industry. He concludes by looking at future challenges and invites the audience to join in a discussion.
Dr. Sean Tan, Head of Data Science, Changi Airport Group
Discover how Changi Airport Group (CAG) leverages graph technologies and generative AI to revolutionize their search capabilities. This session delves into the unique search needs of CAG’s diverse passengers and customers, showcasing how graph data structures enhance the accuracy and relevance of AI-generated search results, mitigating the risk of “hallucinations” and improving the overall customer journey.
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.
Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!SOFTTECHHUB
As the digital landscape continually evolves, operating systems play a critical role in shaping user experiences and productivity. The launch of Nitrux Linux 3.5.0 marks a significant milestone, offering a robust alternative to traditional systems such as Windows 11. This article delves into the essence of Nitrux Linux 3.5.0, exploring its unique features, advantages, and how it stands as a compelling choice for both casual users and tech enthusiasts.
Removing Uninteresting Bytes in Software FuzzingAftab Hussain
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfPaige Cruz
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
Review regional Source Specific Station Corrections (SSSCs) developed for northern Eurasia
1. Enter Division/Section(In View>Master>Slide Master) August 25, 2013 Page 1
1.06.2004
I. Kitov ( IDC/SR/RF)
Preparatory Commission for the Comprehensive
Nuclear-Test-Ban Treaty Organization
Provisional Technical Secretariat
Vienna International Centre
P.O. Box 1200
A-1400 Vienna
AUSTRIA
Email address
Review regional Source Specific Station
Corrections (SSSCs) developed for northern
Eurasia
2. Enter Division/Section(In View>Master>Slide Master) August 25, 2013 Page 2
Review regional Source Specific Station
Corrections (SSSCs) developed for northern
Eurasia
1. To evaluate current version of SSSCs installed at IDC
(Russian Federation-United States Joint Calibration Program)
2. To test and evaluate various sets of SSSCs with highest
emphasis in GT0-2 explosions
3. To develop procedures for SSSCs validation
4. To study location problem in presence of correlated errors
and deviations from Gaussian statistics
5. To select sets or subsets of proposed SSSCs for installation
into routine IDC processing
(CTBT/WGB/TL-2/76, 7 August 2003)
Are SSSCs necessary?
Objectives
:
3. Enter Division/Section(In View>Master>Slide Master) August 25, 2013 Page 3
2
Review regional Source Specific Station
Corrections (SSSCs) developed northern
Eurasia
Requirements for regional location by IMS network :
- Improve of location accuracy (Objectives :1-5)
- Increase of GA processing efficiency(Objectives : 1-5)
Description of regional SSSCs sets for northern Eurasia
(IDC, Lamont, SAIC) (Objectives : 2,3,5)
Comparison of location results for UNE (IASPEI and Lamont)
- Full arrival sets (Objectives : 2,3,4)
- IMS substitute stations (Objectives : 1-3,5)
- Simulation of sparse seismic network (Objectives : 2,3,4)
Comparison of location results for REB and SEL3
(IASPEI, IDC, Lamont, SAIC) (Objectives : 1,3-5)
Findings and conclusions
Outline
4. Regional location by IMS network
Requirements
1. Location Accuracy
1000 km sq. and <50 km major axis
2. GA processing
As many valid regional events in
SEl1-SEL3 as possible
(1D global model may not be adequate at
regional level to fulfill the requirements
5. Sets of SSSC for northern Eurasia
1. IDC velocity model and SSSCs (Pn, Sn, Pg)
(Russian Federation-United States Joint Calibration Program)
2. Group1 IMS stations - Lamont Consortium SSSCs (Pn, Sn)
3. Group1 IMS stations - SAIC Consortium SSSCs (Pn, Sn)
Common stations for which SSSCs sets are available:
AAK,AKTO,BIL,BOD,BVAR,KURK,MA2,MKAR,
NRIS,PDYAR,SEY,TIXI,URG,USK,YAK,ZAL
6. F S U UNE and seismic network (FSU,IMS)
Map –stations,
UNE Red triangle - IMS
Black triangle - FSU
Blue cross - UNE
7. Comparison of location results with various
sets of SSSCs
1. Location of underground nuclear explosions (GT0-GT2)
IASPEI vs. Lamont vs. Lamont kriged
1.1. Peaceful Nuclear Explosions (PNE)
1.2. Semipalatinsk Test Site (STS)
1.3. Simulation of IMS network
1.4. Simulation of sparse seismic network
IASPEI vs. IDC (not available for comprehensive set)
IASPEI vs. SAIC (not available / offer of 15K$)
2. Location of earthquakes
IASPEI - IDC - Lamont - Lamont kriged - SAIC
2.1. REB
2.2. SEL3
8. Lamont-Lamont kriged SSSCs comparison:
PNEs - all arrivals
Lamont kriged : Improvement in 45 from 52 cases (86%)
In 45 from 52 cases (86%) inside 17 km radius
Lamont kriged presents Lamont SSSCs in the following work
9. IASPEI -Lamont kriged SSSCs comparison:
PNEs - all arrivals
Mislocation of selected UNE; range <20 deg
IASPEI model
mean=14.6 km; stdev=7.7 km, median=14.1 km
-60
-40
-20
0
20
40
60
-60 -40 -20 0 20 40 60
longitude, km
lattitude,km
Mislocation of selected UNE; range <20 deg
IASPEI model, fixed depth
mean=16.4 km; stdev=9.2 km, median=15.7 km
-60
-40
-20
0
20
40
60
-60 -40 -20 0 20 40 60
longitude, km
lattitude,km
Mislocation of selected UNE; range <20 deg
Lamont Kriged SSSC's
mean=9.0 km, stdev=8.8 km, median=6.4 km
-60
-40
-20
0
20
40
60
-60 -40 -20 0 20 40 60
longitude, km
lattitude,km
Mislocation of selected UNE; range <20 deg
Lamont Kriged SSSC's, fixed depth
mean=10.7 km, stdev=11.2 km, median=7.4 km
-60
-40
-20
0
20
40
60
-60 -40 -20 0 20 40 60
longitude, km
lattitude,km
SSSCs provide higher location
accuracy
10. IASPEI - Lamont kriged SSSCs travel time residual comparison:
PNEs - all arrivals
Normal distribution
(0.18,1.88)
IASPEI – normal
Lamont - exponential
Fixed at GT0
Fixed at GT0
Fixed depth solution
Fixed depth solution
11. IASPEI -Lamont -Lamont kriged SSSCs location comparison
STS
NORTHERN EURASIA
Mislocation of STS UNE; range <20 deg
IASPEI model
mean=20.1 km; stdev=8.9 km, median=19.4 km
-60
-40
-20
0
20
40
60
-60 -40 -20 0 20 40 60
longitude, km
lattitude,km Mislocation of STS UNE; range <20 deg
Lamont Kriged SSSC's
mean=13.5 km, stdev=10.4 km, median=10.5 km
-60
-40
-20
0
20
40
60
-60 -40 -20 0 20 40 60
longitude, km
lattitude,km
Lamont kriged SSSCs provide the highest accuracy of location of
STS explosions
12. IASPEI - Lamont kriged SSSCs location comparison
STS
NORTHERN EURASIAComparison of mislocation STS UNE
IASPEI vs. Lamont SSSC's
0
5
10
15
20
25
30
35
40
45
50
0 10 20 30 40 50
IASPEI mislocation, km
LamontSSSCmislocation,km
Improvement in 66 from 72 cases (92%)
In 61 from 72 cases (85%) inside 17 km radius
IASPEI - 31 from 72 inside 17 km radius
13. IMS network simulation
IASPEI -Lamont kriged SSSCs location comparison
PNEs – 3 station sets (1826 sets)
criteria: from PNEs data set;
< 3 deg. from IMS station;
> 7 deg. between stations
Mislocation - Lamont kriged SSSC- 3 IMS substitute
stations events; mean=90 km, stdev=126 km
-200
-150
-100
-50
0
50
100
150
200
-200 -100 0 100 200
lon, km
lat,km
Mislocation - IASPEI model- 3 IMS substitute stations
events; mean=92 km, stdev=138 km
-200
-150
-100
-50
0
50
100
150
200
-200 -100 0 100 200
lon, km
lat,km
No visible improvement in IMS substitute stations location
IDC validation test excluded all “outliers”
15. IASPEI -Lamont kriged SSSCs location comparison: Azgir-5
Simulation of sparse network –
all 5 station sets with >7 deg between the stations
SSSCs result in : Lower mislocation – same scattering
Red square - gravity center
Yellow triangle - full station set location
16. IASPEI -Lamont kriged SSSCs location comparison: Oka
Simulation of sparse network
SSSCs result in : Larger mislocation – same scattering
17. IASPEI -Lamont kriged SSSCs location comparison: Craton-2
Simulation of sparse network
SSSCc result in: Same mislocation – same scattering
18. IASPEI -Lamont kriged SSSCs location comparison:
Grifon-1 and -2
Simulation of sparse network
20. IASPEI -Lamont kriged SSSCs travel time residuals comparison :
sparse network simulation
IASPEI – normal
Lamont - exponential
What
Mechanisms
do
Respond
for
Exponential
Distribution?
21. Earthquakes - Pn residuals at NE IMS stations
IASPEI / IDC / Lamont kriged / SAIC
REB and SEL3 - event selection criteria
1. Only events with Pn phases at IMS stations under study
2. Only events without Pn/Pg/Sn at IMS stations with
installed SSSCs, but not under study(ARCES, FINES,OBN
…)
3. All defining parameters used as are (travel time, azimuth,
slowness, deltime, delaz, delslo)
2057 – REB events
5012 – SEL3 events
22. Earthquakes - Pn residuals at NE IMS stations
IASPEI / IDC / Lamont kriged / SAIC
REB and SEL3 - Results Overview
BULLETIN REB REB REB SEL3 SEL3 SEL3
MODEL MEAN STDEV MEDIAN MEAN STDEV MEDIAN
IASPEI 0.5 1.36 0.56 -0.12 3.00 -0.06
IDC (Pn) 0.39 1.10 0.24 -0.13 1.79 -0.07
IDC(ALL) 0.22 1.19 0.07 -0.43 2.26 -0.16
LAMONT(Pn,kriged) 0.14 1.05 0.17 -0.29 2.3 -0.10
SAIC -0.01 0.97 0.03 -0.19 1.97 -0.07
High mean for REB – IASPEI, IDC(Pn)
High mean for SEL3 – IDC(All), Lamont (kriged)
23. Earthquakes - Pn residuals at NE IMS stations
IASPEI -IDC- Lamont kriged - SAIC
REB
Pn travel time residuals fromearthquakes LocSAT;
IASPEI model; REB ; nphase=2057
mean=0.50 sec, stdev=1.36 sec;median=0.56 sec
-100
0
100
200
300
400
500
600
-8 -6 -4 -2 0 2 4 6 8
tt residual, sec
##in1secbin
Pn travel time residuals fromearthquakes LocSAT; IDC model
(onlyPn SSSCs);REB; nphase=2057;
mean=0.39 sec, stdev=1.10 sec; median=0.24 sec
-200
0
200
400
600
800
1000
1200
-8 -6 -4 -2 0 2 4 6 8
tt residual, sec
##in1secbin
IIIASPEI : Larger mean, stdev – closer to normal distribution
Normal distribution (0.5, 1.36) Normal distribution (0.39, 1.10)
27. MAIN FINDINGS AND CONCLUSIONS
1. Location of PNEs with SSSC is more accurate if all
available stations are used
2. Three IMS substitute stations location is not accurate
even if SSSCs are used
3. Sparse network simulation reveals broader location scattering
when SSSCs are used
4. SSSCs usage reduces scattering of residuals in REB and SEL3,
with IDC implemented SSSCs (Pn, Sn, Pg) having the largest
standard deviation among all available SSSCs sets
28. WHAT NEXT?
1. Location of PNEs with SSSC is more accurate if all
available stations are used – SAIC AND IDC?
2. Three IMS substitute stations location is not accurate
even if SSSCs are used - SAIC AND IDC?
3. Sparse network simulation reveals broader location scattering
when SSSCs are used - SAIC AND IDC?
4. SSSCs usage reduces scattering of residuals in REB and SEL3,
with IDC implemented SSSCs (Pn, Sn, Pg) having the largest
standard deviation among all available SSSCs sets