This document describes the acquisition and processing parameters for a multi-client 3D seismic survey covering 433 square miles in Grady and McClain Counties, Oklahoma. The survey utilized vibroseis and dynamite sources with receiver and source intervals of 220 feet. Processing included pre-stack time and depth migration, velocity analysis, multiple attenuation, and stacking to produce final processed time and depth volume deliverables. Optional products included the delivery of well log data.
Seismic QC & Filtering with GeostatisticsGeovariances
The quality of seismic volumes is critical in building reliable reservoir models. Seismic data are often polluted by acquisition or processing artifacts which may have strong impact on subsequent seismic processing or interpretation. Geostatistics allows filtering efficiently seismic noise and artifacts without modifying the signal.
Geovariances provides solutions from seismic data quality control and filtering to reservoir characterization. This technology is based on geostatistics and all algorithms are available in Isatis, leader in geostatistical software solutions.
Noise Reduction in CMOS Image Sensors for High Quality Imaging The Autocorrelation Function Filter on Burst Image Sequences
Kazuhiro Hoshino (1), Frank Nielsen (2,3), Toshihiro Nishimura (4)
(1) Image Sensor Business Group, Sony Corporation, 4-14-1 Asahi-chou, Atsugi-shi, Kanagawa, Japan
(2) Sony Computer Science Laboratories, Inc. 3-14-13 Higashi Gotanda, Shinagawa-ku, Tokyo, Japan
(3) École Polytechnique, LIX, F-91128 Palaiseau Cedex, France
(4) Graduate School of Information, Production and Systems, Waseda University, 2-7 Hibikino, Wakamatsu, Kitakyushu, Fukuoka, Japan
In this deck from ATPESC 2019, Yunong Shi from the University of Chicago presents: SW/HW co-design for near-term quantum computing.
"The Argonne Training Program on Extreme-Scale Computing (ATPESC) provides intensive, two weeks of training on the key skills, approaches, and tools to design, implement, and execute computational science and engineering applications on current high-end computing systems and the leadership-class computing systems of the future."
Watch the video: https://wp.me/p3RLHQ-lpv
Learn more: https://extremecomputingtraining.anl.gov/archive/atpesc-2019/agenda-2019/
Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter
Unsteady Potential Flow Calculations on a Horizontal Axis Marine Current Turb...João Baltazar
Three-dimensional unsteady potential flow calculations for a horizontal axis marine current turbine with a low order potential based panel method, originally developed for marine propellers, are presented. The analysis is carried out for straight and yawed flow conditions for a turbine with controllable pitch for two different pitch settings in a wide range of tip-speed-ratios. An empirical vortex model is assumed for the turbine wake which includes the variation of pitch of the helicoidal vortices behind the blades. Comparison of numerical calculations with experimental measurements available in the literature and effect of the tidal velocity profile on the turbine blade loadings are presented.
Seismic QC & Filtering with GeostatisticsGeovariances
The quality of seismic volumes is critical in building reliable reservoir models. Seismic data are often polluted by acquisition or processing artifacts which may have strong impact on subsequent seismic processing or interpretation. Geostatistics allows filtering efficiently seismic noise and artifacts without modifying the signal.
Geovariances provides solutions from seismic data quality control and filtering to reservoir characterization. This technology is based on geostatistics and all algorithms are available in Isatis, leader in geostatistical software solutions.
Noise Reduction in CMOS Image Sensors for High Quality Imaging The Autocorrelation Function Filter on Burst Image Sequences
Kazuhiro Hoshino (1), Frank Nielsen (2,3), Toshihiro Nishimura (4)
(1) Image Sensor Business Group, Sony Corporation, 4-14-1 Asahi-chou, Atsugi-shi, Kanagawa, Japan
(2) Sony Computer Science Laboratories, Inc. 3-14-13 Higashi Gotanda, Shinagawa-ku, Tokyo, Japan
(3) École Polytechnique, LIX, F-91128 Palaiseau Cedex, France
(4) Graduate School of Information, Production and Systems, Waseda University, 2-7 Hibikino, Wakamatsu, Kitakyushu, Fukuoka, Japan
In this deck from ATPESC 2019, Yunong Shi from the University of Chicago presents: SW/HW co-design for near-term quantum computing.
"The Argonne Training Program on Extreme-Scale Computing (ATPESC) provides intensive, two weeks of training on the key skills, approaches, and tools to design, implement, and execute computational science and engineering applications on current high-end computing systems and the leadership-class computing systems of the future."
Watch the video: https://wp.me/p3RLHQ-lpv
Learn more: https://extremecomputingtraining.anl.gov/archive/atpesc-2019/agenda-2019/
Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter
Unsteady Potential Flow Calculations on a Horizontal Axis Marine Current Turb...João Baltazar
Three-dimensional unsteady potential flow calculations for a horizontal axis marine current turbine with a low order potential based panel method, originally developed for marine propellers, are presented. The analysis is carried out for straight and yawed flow conditions for a turbine with controllable pitch for two different pitch settings in a wide range of tip-speed-ratios. An empirical vortex model is assumed for the turbine wake which includes the variation of pitch of the helicoidal vortices behind the blades. Comparison of numerical calculations with experimental measurements available in the literature and effect of the tidal velocity profile on the turbine blade loadings are presented.
Automated Traffic Density Detection and Speed MonitoringBharat Biyani
Designed and proposed an RF system to detect speed and traffic density with a RADAR unit in remote areas and to provide real-time monitoring of the traffic density data with a satellite link. Based on calculated parameters, required RF components from real vendors were identified. The system model is then simulated with the obtained parameters in AWR Virtual System Simulator and analyzed nominal and worst case cascaded gain, noise figure, P1dB and OIP3. The general deviation expected in these parameters was determined by performing yield analysis.
Big data analytics Big data analyticsBig data analyticsBig data analyticsBig data analyticsBig data analyticsBig data analyticsBig data analyticsBig data analyticsBig data analyticsBig data analyticsBig data analyticsBig data analyticsBig data analyticsBig data analyticsBig data analyticsBig data analyticsBig data analyticsBig data analyticsBig data analytics
Advanced Satellite Communications Systems Technical Training Course SamplerJim Jenkins
This three-day ATI professional development course, Advanced Satellite Communications Systems, covers all the technology of
advanced satellite communications as well as the
principles behind current state-of-the-art satellite
communications equipment. System
design approaches discussed include Big
LEO, Little LEO, DTH, Direct Radio, VSAT,
commercial satellite imaging, multimedia satellite
services, and IP networking over satellite. There will
be course exercises and practice each day
NavikEye is the Multiconstellation GNSS simulator from MaxEye Technologies.
NavikEye Multi-constellation GNSS Simulator offers realtime generation of various global satellite navigation signals including dynamic scenarios and HIL simulation. The scenario generation can be fully automated using the remote TCP commands via Ethernet. This enables the implementation of dynamic HIL environment. The HIL test system can feed the realtime location coordinates, velocity and other vehicle dynamics to the GNSS Simulator. Based on this GNSS simulator updates the receiver position in realtime.
The simulator supports moving receiver scenarios with predefined waypoints using NMEA and KML files. NavikEye GNSS Simulator is based on National Instruments scalable and software defined PXI architecture powered by LabVIEW.
For the full video of this presentation, please visit:
https://www.embedded-vision.com/platinum-members/nxp/embedded-vision-training/videos/pages/may-2018-embedded-vision-summit-roy
For more information about embedded vision, please visit:
http://www.embedded-vision.com
Arunesh Roy, Radar Algorithms Architect at NXP Semiconductors, presents the "Understanding Automotive Radar: Present and Future," tutorial at the May 2018 Embedded Vision Summit.
Thanks to its proven, all-weather range detection capability, radar is increasingly used for driver assistance functions such as automatic emergency braking and adaptive cruise control. Radar is considered a crucial sensing technology for autonomous vehicles not only for its range finding ability, but also because it can be used to determine target velocity and target angle. In this tutorial, Roy introduces the basic principles of operation of a radar system, highlighting its main parameters and comparing radar with computer vision and other types of sensors typically found in ADAS and autonomous vehicles.
After examining the features and the limitations of current automotive radar systems, Roy discusses how automotive radar is evolving, particularly in light of safety performance assessment programs such as the European New Car Assessment Programme (eNCAP). He concludes with a discussion of how radar systems may compete with or complement vision-based sensors in future ADAS-equipped and autonomous vehicles.
Basin intelligence for informative and strategic decision making and analysis.
With TGS Analytics, you gain deep basin intelligence for informative and strategic decision making along the project value chain. Our basin intelligence solution provides analytical partnerships to close any research gaps so you can make better informed decisions.
We differentiate our solution by bridging the gap between subsurface geologic data and interpretation with strategic analysis of production capabilities. Staying connected to the data allows for fast and transparent insights from a top-down view to each individual well.
Our tool integrates into your workflow allowing you to gain quick knowledge or perform individual analytics for your AOI.
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Empowering the Data Analytics Ecosystem: A Laser Focus on Value
The data analytics ecosystem thrives when every component functions at its peak, unlocking the true potential of data. Here's a laser focus on key areas for an empowered ecosystem:
1. Democratize Access, Not Data:
Granular Access Controls: Provide users with self-service tools tailored to their specific needs, preventing data overload and misuse.
Data Catalogs: Implement robust data catalogs for easy discovery and understanding of available data sources.
2. Foster Collaboration with Clear Roles:
Data Mesh Architecture: Break down data silos by creating a distributed data ownership model with clear ownership and responsibilities.
Collaborative Workspaces: Utilize interactive platforms where data scientists, analysts, and domain experts can work seamlessly together.
3. Leverage Advanced Analytics Strategically:
AI-powered Automation: Automate repetitive tasks like data cleaning and feature engineering, freeing up data talent for higher-level analysis.
Right-Tool Selection: Strategically choose the most effective advanced analytics techniques (e.g., AI, ML) based on specific business problems.
4. Prioritize Data Quality with Automation:
Automated Data Validation: Implement automated data quality checks to identify and rectify errors at the source, minimizing downstream issues.
Data Lineage Tracking: Track the flow of data throughout the ecosystem, ensuring transparency and facilitating root cause analysis for errors.
5. Cultivate a Data-Driven Mindset:
Metrics-Driven Performance Management: Align KPIs and performance metrics with data-driven insights to ensure actionable decision making.
Data Storytelling Workshops: Equip stakeholders with the skills to translate complex data findings into compelling narratives that drive action.
Benefits of a Precise Ecosystem:
Sharpened Focus: Precise access and clear roles ensure everyone works with the most relevant data, maximizing efficiency.
Actionable Insights: Strategic analytics and automated quality checks lead to more reliable and actionable data insights.
Continuous Improvement: Data-driven performance management fosters a culture of learning and continuous improvement.
Sustainable Growth: Empowered by data, organizations can make informed decisions to drive sustainable growth and innovation.
By focusing on these precise actions, organizations can create an empowered data analytics ecosystem that delivers real value by driving data-driven decisions and maximizing the return on their data investment.
Explore our comprehensive data analysis project presentation on predicting product ad campaign performance. Learn how data-driven insights can optimize your marketing strategies and enhance campaign effectiveness. Perfect for professionals and students looking to understand the power of data analysis in advertising. for more details visit: https://bostoninstituteofanalytics.org/data-science-and-artificial-intelligence/
Data Centers - Striving Within A Narrow Range - Research Report - MCG - May 2...pchutichetpong
M Capital Group (“MCG”) expects to see demand and the changing evolution of supply, facilitated through institutional investment rotation out of offices and into work from home (“WFH”), while the ever-expanding need for data storage as global internet usage expands, with experts predicting 5.3 billion users by 2023. These market factors will be underpinned by technological changes, such as progressing cloud services and edge sites, allowing the industry to see strong expected annual growth of 13% over the next 4 years.
Whilst competitive headwinds remain, represented through the recent second bankruptcy filing of Sungard, which blames “COVID-19 and other macroeconomic trends including delayed customer spending decisions, insourcing and reductions in IT spending, energy inflation and reduction in demand for certain services”, the industry has seen key adjustments, where MCG believes that engineering cost management and technological innovation will be paramount to success.
MCG reports that the more favorable market conditions expected over the next few years, helped by the winding down of pandemic restrictions and a hybrid working environment will be driving market momentum forward. The continuous injection of capital by alternative investment firms, as well as the growing infrastructural investment from cloud service providers and social media companies, whose revenues are expected to grow over 3.6x larger by value in 2026, will likely help propel center provision and innovation. These factors paint a promising picture for the industry players that offset rising input costs and adapt to new technologies.
According to M Capital Group: “Specifically, the long-term cost-saving opportunities available from the rise of remote managing will likely aid value growth for the industry. Through margin optimization and further availability of capital for reinvestment, strong players will maintain their competitive foothold, while weaker players exit the market to balance supply and demand.”
As Europe's leading economic powerhouse and the fourth-largest hashtag#economy globally, Germany stands at the forefront of innovation and industrial might. Renowned for its precision engineering and high-tech sectors, Germany's economic structure is heavily supported by a robust service industry, accounting for approximately 68% of its GDP. This economic clout and strategic geopolitical stance position Germany as a focal point in the global cyber threat landscape.
In the face of escalating global tensions, particularly those emanating from geopolitical disputes with nations like hashtag#Russia and hashtag#China, hashtag#Germany has witnessed a significant uptick in targeted cyber operations. Our analysis indicates a marked increase in hashtag#cyberattack sophistication aimed at critical infrastructure and key industrial sectors. These attacks range from ransomware campaigns to hashtag#AdvancedPersistentThreats (hashtag#APTs), threatening national security and business integrity.
🔑 Key findings include:
🔍 Increased frequency and complexity of cyber threats.
🔍 Escalation of state-sponsored and criminally motivated cyber operations.
🔍 Active dark web exchanges of malicious tools and tactics.
Our comprehensive report delves into these challenges, using a blend of open-source and proprietary data collection techniques. By monitoring activity on critical networks and analyzing attack patterns, our team provides a detailed overview of the threats facing German entities.
This report aims to equip stakeholders across public and private sectors with the knowledge to enhance their defensive strategies, reduce exposure to cyber risks, and reinforce Germany's resilience against cyber threats.
Adjusting primitives for graph : SHORT REPORT / NOTESSubhajit Sahu
Graph algorithms, like PageRank Compressed Sparse Row (CSR) is an adjacency-list based graph representation that is
Multiply with different modes (map)
1. Performance of sequential execution based vs OpenMP based vector multiply.
2. Comparing various launch configs for CUDA based vector multiply.
Sum with different storage types (reduce)
1. Performance of vector element sum using float vs bfloat16 as the storage type.
Sum with different modes (reduce)
1. Performance of sequential execution based vs OpenMP based vector element sum.
2. Performance of memcpy vs in-place based CUDA based vector element sum.
3. Comparing various launch configs for CUDA based vector element sum (memcpy).
4. Comparing various launch configs for CUDA based vector element sum (in-place).
Sum with in-place strategies of CUDA mode (reduce)
1. Comparing various launch configs for CUDA based vector element sum (in-place).
Chatty Kathy - UNC Bootcamp Final Project Presentation - Final Version - 5.23...John Andrews
SlideShare Description for "Chatty Kathy - UNC Bootcamp Final Project Presentation"
Title: Chatty Kathy: Enhancing Physical Activity Among Older Adults
Description:
Discover how Chatty Kathy, an innovative project developed at the UNC Bootcamp, aims to tackle the challenge of low physical activity among older adults. Our AI-driven solution uses peer interaction to boost and sustain exercise levels, significantly improving health outcomes. This presentation covers our problem statement, the rationale behind Chatty Kathy, synthetic data and persona creation, model performance metrics, a visual demonstration of the project, and potential future developments. Join us for an insightful Q&A session to explore the potential of this groundbreaking project.
Project Team: Jay Requarth, Jana Avery, John Andrews, Dr. Dick Davis II, Nee Buntoum, Nam Yeongjin & Mat Nicholas