This document discusses flexible custody transfer solutions from ABB Measurement & Analytics and Spirit IT. It introduces Flow-X flow computers and eXLerate supervisory software, which provide high accuracy, security, and data integration for custody transfer applications. Examples are given of these solutions being implemented successfully at large projects like Wheatstone in Australia and terminals like one in Edmonton. The combination of Flow-X and eXLerate is presented as a powerful package for metering control and management.
This document discusses advances in laser spectroscopy technology called OA-ICOS and its applications. OA-ICOS combines high resolution spectroscopy with long optical path lengths using an optical cavity. This provides sensitivity down to parts-per-billion levels for multi-gas analysis. The document outlines OA-ICOS technology, its implementation in analyzers by ABB-LGR, and applications in industrial process control, environmental monitoring, and semiconductor manufacturing. Case studies show its use for trace gas analysis, leak detection, and quality control in industries including chemicals and petrochemicals.
Novel Laser Anlyzers for Natural Gas Leaks DetectionNunzio Bonavita
This document discusses an innovative laser-based solution for natural gas leak detection. It introduces the MobileGuard system, a vehicle-mounted methane and ethane analyzer that uses tunable diode laser absorption spectroscopy (TDLAS) for mobile monitoring of gas distribution pipelines. The system can detect leaks from 150 meters away and map their locations. It is also introduced the μPortable analyzer for on-foot investigations of leak locations identified by MobileGuard. Both tools use off-axis integrated cavity output spectroscopy (OA-ICOS) which provides highly sensitive, selective, and calibration-free measurements. The system represents a significant improvement over traditional walk-based surveying and can survey areas more quickly and efficiently.
Comparison of Wind Tunnel and CFD Modelling for Nearfield Dispersion from an ...IES / IAQM
This document summarizes a study comparing wind tunnel and computational fluid dynamics (CFD) modelling for near-field dispersion from an exhaust stack. The study found that while CFD and wind tunnel results agreed for downwind receptors, CFD showed lower dilution and was inconsistent for receptors not directly downstream. Key takeaways are that complex flows challenge steady-state CFD, guidelines for exhaust assessments using CFD are needed as the field matures, and future work should consider multiple wind directions.
Chromatography is introduced to us from a very young age; from marker and coffee filter art projects to the simple black ink separation. All of which the pigments wick from the papers are different speeds when dipped into water, showing the various types of pigments. Chromatography is based on this originally when it was first used for the synthetic dye industry in the early 1990s as Chromatography means color measurement.
This one-hour session covers chromatography basics and explains what makes up a process gas chromatograph that is used today.
We will dive into:
Different types of sample injection methods.
What and how a separation column works.
Basic rules of thumbs for best practice.
RapidAIR- a new urban dispersion modelling platform for air quality analysis ...Scott Hamilton
This document summarizes a presentation about RapidAIR, a new urban air quality dispersion modelling platform developed by Ricardo. RapidAIR uses an open-source python-based model that automates the workflow for modelling road traffic emissions. It can model emissions at a high resolution over large domains with computation times measured in seconds rather than hours. The model was evaluated against AERMOD and shown to produce highly similar results. Examples of RapidAIR applications to London and Beijing are presented to demonstrate its capabilities for policy analysis. Remote sensing data is also discussed and how it can be linked to dispersion models like RapidAIR.
Yokogawa's GC8000 Process Analyzer Product IntroductionYokogawa1
Yokogawa's GC8000 is a process analyzer that uses gas chromatography to measure the composition of multiple components in a stream. Engineered with reliable electronics and intelligently designed columns and valves, the GC8000 improves ease of maintenance while reducing operating costs. Its intuitive touchscreen HMI with system diagnostics reduces operation and maintenance headaches, maximizing measurement accuracy, reliability, and uptime.
Data and the interface between traffic and air quality modelsScott Hamilton
Ricardo developed an air quality modelling system called RapidAIR to model pollution in cities. It processes traffic data from models very quickly to calculate emissions and concentrations. Leicestershire County Council procured RapidAIR to model road traffic pollution across the county and help assess impacts on air quality and determine mitigation needs. RapidAIR customizations were made to ingest LCC's traffic model outputs. The model converts road links to area sources to model concentrations at high resolution. It can also account for street canyons. RapidAIR was used to model NOx concentrations in Leicester in 2014 from road traffic and background sources. The model provides results very quickly and can model hypothetical scenarios like COVID-19 impacts on traffic and air quality.
The document describes the Porto Living Lab project in Porto, Portugal which involves three sensing infrastructures: BusNet, HarbourNet, and UrbanSense. UrbanSense is an environmental sensor platform that collects data from over 500 sensors across the city to understand phenomena and their impacts. It involves sensor units that collect data and send it via various wireless networks to a cloud database. The sensors measure air quality, noise, weather and other environmental factors.
This document discusses advances in laser spectroscopy technology called OA-ICOS and its applications. OA-ICOS combines high resolution spectroscopy with long optical path lengths using an optical cavity. This provides sensitivity down to parts-per-billion levels for multi-gas analysis. The document outlines OA-ICOS technology, its implementation in analyzers by ABB-LGR, and applications in industrial process control, environmental monitoring, and semiconductor manufacturing. Case studies show its use for trace gas analysis, leak detection, and quality control in industries including chemicals and petrochemicals.
Novel Laser Anlyzers for Natural Gas Leaks DetectionNunzio Bonavita
This document discusses an innovative laser-based solution for natural gas leak detection. It introduces the MobileGuard system, a vehicle-mounted methane and ethane analyzer that uses tunable diode laser absorption spectroscopy (TDLAS) for mobile monitoring of gas distribution pipelines. The system can detect leaks from 150 meters away and map their locations. It is also introduced the μPortable analyzer for on-foot investigations of leak locations identified by MobileGuard. Both tools use off-axis integrated cavity output spectroscopy (OA-ICOS) which provides highly sensitive, selective, and calibration-free measurements. The system represents a significant improvement over traditional walk-based surveying and can survey areas more quickly and efficiently.
Comparison of Wind Tunnel and CFD Modelling for Nearfield Dispersion from an ...IES / IAQM
This document summarizes a study comparing wind tunnel and computational fluid dynamics (CFD) modelling for near-field dispersion from an exhaust stack. The study found that while CFD and wind tunnel results agreed for downwind receptors, CFD showed lower dilution and was inconsistent for receptors not directly downstream. Key takeaways are that complex flows challenge steady-state CFD, guidelines for exhaust assessments using CFD are needed as the field matures, and future work should consider multiple wind directions.
Chromatography is introduced to us from a very young age; from marker and coffee filter art projects to the simple black ink separation. All of which the pigments wick from the papers are different speeds when dipped into water, showing the various types of pigments. Chromatography is based on this originally when it was first used for the synthetic dye industry in the early 1990s as Chromatography means color measurement.
This one-hour session covers chromatography basics and explains what makes up a process gas chromatograph that is used today.
We will dive into:
Different types of sample injection methods.
What and how a separation column works.
Basic rules of thumbs for best practice.
RapidAIR- a new urban dispersion modelling platform for air quality analysis ...Scott Hamilton
This document summarizes a presentation about RapidAIR, a new urban air quality dispersion modelling platform developed by Ricardo. RapidAIR uses an open-source python-based model that automates the workflow for modelling road traffic emissions. It can model emissions at a high resolution over large domains with computation times measured in seconds rather than hours. The model was evaluated against AERMOD and shown to produce highly similar results. Examples of RapidAIR applications to London and Beijing are presented to demonstrate its capabilities for policy analysis. Remote sensing data is also discussed and how it can be linked to dispersion models like RapidAIR.
Yokogawa's GC8000 Process Analyzer Product IntroductionYokogawa1
Yokogawa's GC8000 is a process analyzer that uses gas chromatography to measure the composition of multiple components in a stream. Engineered with reliable electronics and intelligently designed columns and valves, the GC8000 improves ease of maintenance while reducing operating costs. Its intuitive touchscreen HMI with system diagnostics reduces operation and maintenance headaches, maximizing measurement accuracy, reliability, and uptime.
Data and the interface between traffic and air quality modelsScott Hamilton
Ricardo developed an air quality modelling system called RapidAIR to model pollution in cities. It processes traffic data from models very quickly to calculate emissions and concentrations. Leicestershire County Council procured RapidAIR to model road traffic pollution across the county and help assess impacts on air quality and determine mitigation needs. RapidAIR customizations were made to ingest LCC's traffic model outputs. The model converts road links to area sources to model concentrations at high resolution. It can also account for street canyons. RapidAIR was used to model NOx concentrations in Leicester in 2014 from road traffic and background sources. The model provides results very quickly and can model hypothetical scenarios like COVID-19 impacts on traffic and air quality.
The document describes the Porto Living Lab project in Porto, Portugal which involves three sensing infrastructures: BusNet, HarbourNet, and UrbanSense. UrbanSense is an environmental sensor platform that collects data from over 500 sensors across the city to understand phenomena and their impacts. It involves sensor units that collect data and send it via various wireless networks to a cloud database. The sensors measure air quality, noise, weather and other environmental factors.
Nine Years of Atmospheric Remote Sensing with SCIAMACHY – Atmospheric Parameters and Data Products discusses the SCIAMACHY instrument and its data processing over nine years of operation. The document outlines the levels of processing from Level 0 to Level 2, which are continuously improved by the SCIAMACHY Quality Working Group. Products include total columns of gases, profiles, clouds, and aerosols. SCIAMACHY remains in good health and is currently funded until the end of 2013.
1. The document discusses how emergency backup generators can participate in demand response programs to generate income while providing grid reliability.
2. It outlines the applicable air regulations for emergency generators and explains how generators can meet emission requirements to participate in demand response legally.
3. Recent court rulings have removed exemptions that allowed emergency generators to participate in demand response while still being classified as emergency, so generators may need to meet non-emergency emission standards to participate.
See how ABB Instrumentation can help businesses run efficiently and sustainably to help address the challenges of maunfacturing in the UK post recession
ABB Instrumentation provides world-class instrumentation solutions built on over 100 years of experience. They offer unrivalled expertise in flow, pressure, temperature, analytical and other measurement technologies. ABB Instrumentation has a global presence with manufacturing facilities and sales offices around the world to support customers in multiple industries.
Avoid Air-rors! Discuss the Air Regulations that Impact Oil and Gas DevelopmentTrihydro Corporation
Presentation about the air regulations affecting oil and gas development. Topics covered include NSPS OOOO, Leak Detection and Repair, Greenhouse Gas Inventory/Reporting, Optical Gas Imaging with Infrared Cameras
Sn 43369-benefits-gf-aa-to-icp-ms-sn43369-enWei Liu
1) ICP-MS offers several advantages over GF-AA such as faster multi-element analysis, lower detection limits, wider dynamic range, and the ability to analyze more elements.
2) While ICP-MS has a higher operating cost, it provides greater capabilities and more efficient analysis. The iCAP RQ ICP-MS has been designed for ease of use, simplified maintenance, and intuitive software.
3) The iCAP RQ ICP-MS can measure over 70 elements across a wide dynamic range using only a few mL of sample. Interferences are minimized through its QCell technology and optimized interface design.
The ANAIS experiment aims to confirm the DAMA/LIBRA positive dark matter signal using the same target and technique. The ANAIS-25 phase has two 12.5 kg NaI(Tl) detectors taking data at the Canfranc Underground Laboratory. Background levels have been determined and the detectors show good light collection and energy resolution. Work is ongoing to develop the muon veto system, low energy calibrations, and test PMTs for the full 250 kg experiment. A new crystal from Alpha Spectra with updated purification protocols will soon be checked for radiopurity levels before proceeding with the full experiment.
Thariq Ahamed is seeking an engineering position in instrumentation. He has 3-4 years of experience in automation, installation, commissioning and maintenance of instrumentation systems. His experience includes third party inspections, maintenance and troubleshooting, automation of calibration systems, and calibration of various flow meters. He is currently working on automation and integration projects for Indian Oil Corporation. Previously he worked calibrating and testing flow meters at Fluid Control Research Institute. He has a BE in Electronics and Instrumentation and postgraduate diploma in Petroleum and Natural Gas Flow Measurement Instrumentation.
The document summarizes the work done for Task 3.4 of the SLOPE project. An intelligent processor head was developed that can perform grading and marking of logs. Sensors were added to measure stress waves, cutting forces, near infrared spectra and hyperspectral images. The processor head can determine wood properties and mark each log with an RFID tag containing collected information. All systems were designed, implemented and tested on the processor head prototype, fulfilling the objectives of the task.
This document discusses using the RAVEN code to perform a comprehensive validation approach for nuclear reactor simulation codes. RAVEN implements uncertainty quantification and sensitivity analysis techniques to validate code predictions against experimental data from tests like the Semiscale and NACIE experiments. The validation process involves running probabilistic simulations with RAVEN, comparing output to experimental measurements using metrics, and performing sensitivity analysis to identify influential input parameters. The approach aims to define validated design spaces for nuclear reactor codes.
Wat erp ogc_recommendationshyfeatures_v0.0InclamSoft
The WatERP project evaluated the use of HY_Features concepts in developing an ontology for water resource management. HY_Features provided compatible definitions for features of interest that were mapped to the WatERP ontology. This allowed external data from models using HY_Features to be understood. Recommendations include incorporating additional domains and expanding to regulatory/financial observations. HY_Features also supports reasoning about geospatial data and standard representations that could benefit water management platforms.
This document summarizes the progress of various tasks under Work Package 3 of the Project SLOPE, which aims to integrate novel intelligent harvesting systems operating in mountain areas.
Task 3.1 on intelligent tree marking has tested RFID tags on trees and developed a roadmap for the tagging process. Equipment for tagging and reading tags is available but the GPS capacity may need improvement.
Task 3.2 on processor head selection has defined requirements, requested offers from manufacturers, and selected a model, but the processor head has not yet been purchased. Re-engineering work is planned.
Task 3.5 on intelligent transport trucks is adding RFID reading, GPS, and data transmission capabilities to trucks to track timber and optimize
The document provides an overview of a training session on Geotech's GA2000 Plus landfill gas analyser. It discusses the history and development of Geotech's gas analyser products, how the GA2000 Plus works, its certifications, support services available, and addresses common questions. Hands-on demonstrations are included to showcase operation and calibration.
The document discusses OptiNimbus, a cloud-based stormwater management platform that uses sensors and controls to intelligently manage stormwater and improve water quality. It reduces combined sewer overflows, monitors infrastructure performance, alerts of maintenance needs, and maximizes the benefits of stormwater facilities through real-time control. OptiNimbus has been deployed in over 90 projects across various applications including combined sewer overflow control, sediment and water quality retrofits, and existing or new green and gray infrastructure. It provides cost savings through reduced capital and operating costs while helping utilities stay compliant with water quality regulations.
Measuring Change with Radar Imagery_Richard Goodman - Intergraph Geospatial W...IMGS
The document discusses the importance of measuring change using RADAR imagery. It provides examples of how RADAR has been used to monitor natural disasters like tornadoes, earthquakes, floods, and oil spills. RADAR data is well-suited for change measurement because it can see through clouds and darkness and man-made structures provide strong reflections. Interferometric processing of RADAR data pairs enables coherence change detection and displacement mapping with centimeter accuracy, allowing monitoring of subsidence from activities like resource extraction. The document also describes how ERDAS Imagine software and its radar tools were used by Kongsberg Satellite Services to develop an oil spill and vessel detection system from satellite imagery within 30 minutes of acquisition.
Lecture 8 Automatic and Continuous Monitoring of IAQDenis Wong
This document discusses indoor air quality (IAQ) monitoring and management. It emphasizes the importance of establishing IAQ standards and guidelines to facilitate objective measurement and communication. Automatic and continuous IAQ profiling systems are presented as quantitative, accurate and cost-effective tools to benchmark indoor environments over time for management, control and legislative purposes. Examples demonstrate how IAQ profiles can be reproduced at different locations and dates, showing their utility as standards.
This document summarizes a project to develop smart eco-districts in Washington DC using Internet of Things sensors. The project would scale an existing smart city project on Pennsylvania Avenue to connect four eco-districts with an open data system. In phase one, the plan is to add environmental sensor arrays to the Pennsylvania Avenue project and develop a sensor array prototype. In phase two, the goal is to complete pilot smart eco-district projects in each district, deploy an open data hub, and establish a sensor developer program for students.
UAV imagery processed through SfM software yields ortho mosaics that can be then analyzed further. Automated image alignment makes time series analysis possible. Find out how Geomatica can be used to help you get more from imagery. From LAS point cloud interpolation, image to image alignment, vegetation assessment, stockpile measurement, and more. Geomatica also includes a python powered development platform making it the best option to extend processing capability to develop operational applications.
1) The document describes an experimental study that uses a sensor fusion system of acoustic emission signals, cutting force signals, and temperature signals to detect tool breakage in real-time during turning operations.
2) 27 experiments were conducted using 3 different tool types, 3 cutting speeds, and 3 feed rates. The sensor fusion system successfully detected tool breakage based on simultaneous spikes in the acoustic emission and cutting force signals.
3) Acoustic emission signals were found to be the most sensitive to tool breakage detection, showing a 2.5x increase at breakage compared to a 42% increase for cutting forces and 5% for temperature. However, combining the different sensor signals provides additional information to accurately identify tool breakage
O documento resume um trabalho de português sobre Guimarães Rosa e o modernismo realizado por alunos do turno da tarde, sob a supervisão da professora Silvânia. Apresenta uma breve biografia de Guimarães Rosa e detalha sua obra principal, além de fornecer um contexto sobre o modernismo brasileiro e a recepção da obra de Rosa.
This document is a resume for Kieran Bruce providing contact information, education history, work history, and key attributes. It summarizes his experience working in sales, self-employment as a decorator, administration roles in healthcare and insurance, and skills in communication, adaptability, teamwork, and meeting deadlines. References are available upon request.
Nine Years of Atmospheric Remote Sensing with SCIAMACHY – Atmospheric Parameters and Data Products discusses the SCIAMACHY instrument and its data processing over nine years of operation. The document outlines the levels of processing from Level 0 to Level 2, which are continuously improved by the SCIAMACHY Quality Working Group. Products include total columns of gases, profiles, clouds, and aerosols. SCIAMACHY remains in good health and is currently funded until the end of 2013.
1. The document discusses how emergency backup generators can participate in demand response programs to generate income while providing grid reliability.
2. It outlines the applicable air regulations for emergency generators and explains how generators can meet emission requirements to participate in demand response legally.
3. Recent court rulings have removed exemptions that allowed emergency generators to participate in demand response while still being classified as emergency, so generators may need to meet non-emergency emission standards to participate.
See how ABB Instrumentation can help businesses run efficiently and sustainably to help address the challenges of maunfacturing in the UK post recession
ABB Instrumentation provides world-class instrumentation solutions built on over 100 years of experience. They offer unrivalled expertise in flow, pressure, temperature, analytical and other measurement technologies. ABB Instrumentation has a global presence with manufacturing facilities and sales offices around the world to support customers in multiple industries.
Avoid Air-rors! Discuss the Air Regulations that Impact Oil and Gas DevelopmentTrihydro Corporation
Presentation about the air regulations affecting oil and gas development. Topics covered include NSPS OOOO, Leak Detection and Repair, Greenhouse Gas Inventory/Reporting, Optical Gas Imaging with Infrared Cameras
Sn 43369-benefits-gf-aa-to-icp-ms-sn43369-enWei Liu
1) ICP-MS offers several advantages over GF-AA such as faster multi-element analysis, lower detection limits, wider dynamic range, and the ability to analyze more elements.
2) While ICP-MS has a higher operating cost, it provides greater capabilities and more efficient analysis. The iCAP RQ ICP-MS has been designed for ease of use, simplified maintenance, and intuitive software.
3) The iCAP RQ ICP-MS can measure over 70 elements across a wide dynamic range using only a few mL of sample. Interferences are minimized through its QCell technology and optimized interface design.
The ANAIS experiment aims to confirm the DAMA/LIBRA positive dark matter signal using the same target and technique. The ANAIS-25 phase has two 12.5 kg NaI(Tl) detectors taking data at the Canfranc Underground Laboratory. Background levels have been determined and the detectors show good light collection and energy resolution. Work is ongoing to develop the muon veto system, low energy calibrations, and test PMTs for the full 250 kg experiment. A new crystal from Alpha Spectra with updated purification protocols will soon be checked for radiopurity levels before proceeding with the full experiment.
Thariq Ahamed is seeking an engineering position in instrumentation. He has 3-4 years of experience in automation, installation, commissioning and maintenance of instrumentation systems. His experience includes third party inspections, maintenance and troubleshooting, automation of calibration systems, and calibration of various flow meters. He is currently working on automation and integration projects for Indian Oil Corporation. Previously he worked calibrating and testing flow meters at Fluid Control Research Institute. He has a BE in Electronics and Instrumentation and postgraduate diploma in Petroleum and Natural Gas Flow Measurement Instrumentation.
The document summarizes the work done for Task 3.4 of the SLOPE project. An intelligent processor head was developed that can perform grading and marking of logs. Sensors were added to measure stress waves, cutting forces, near infrared spectra and hyperspectral images. The processor head can determine wood properties and mark each log with an RFID tag containing collected information. All systems were designed, implemented and tested on the processor head prototype, fulfilling the objectives of the task.
This document discusses using the RAVEN code to perform a comprehensive validation approach for nuclear reactor simulation codes. RAVEN implements uncertainty quantification and sensitivity analysis techniques to validate code predictions against experimental data from tests like the Semiscale and NACIE experiments. The validation process involves running probabilistic simulations with RAVEN, comparing output to experimental measurements using metrics, and performing sensitivity analysis to identify influential input parameters. The approach aims to define validated design spaces for nuclear reactor codes.
Wat erp ogc_recommendationshyfeatures_v0.0InclamSoft
The WatERP project evaluated the use of HY_Features concepts in developing an ontology for water resource management. HY_Features provided compatible definitions for features of interest that were mapped to the WatERP ontology. This allowed external data from models using HY_Features to be understood. Recommendations include incorporating additional domains and expanding to regulatory/financial observations. HY_Features also supports reasoning about geospatial data and standard representations that could benefit water management platforms.
This document summarizes the progress of various tasks under Work Package 3 of the Project SLOPE, which aims to integrate novel intelligent harvesting systems operating in mountain areas.
Task 3.1 on intelligent tree marking has tested RFID tags on trees and developed a roadmap for the tagging process. Equipment for tagging and reading tags is available but the GPS capacity may need improvement.
Task 3.2 on processor head selection has defined requirements, requested offers from manufacturers, and selected a model, but the processor head has not yet been purchased. Re-engineering work is planned.
Task 3.5 on intelligent transport trucks is adding RFID reading, GPS, and data transmission capabilities to trucks to track timber and optimize
The document provides an overview of a training session on Geotech's GA2000 Plus landfill gas analyser. It discusses the history and development of Geotech's gas analyser products, how the GA2000 Plus works, its certifications, support services available, and addresses common questions. Hands-on demonstrations are included to showcase operation and calibration.
The document discusses OptiNimbus, a cloud-based stormwater management platform that uses sensors and controls to intelligently manage stormwater and improve water quality. It reduces combined sewer overflows, monitors infrastructure performance, alerts of maintenance needs, and maximizes the benefits of stormwater facilities through real-time control. OptiNimbus has been deployed in over 90 projects across various applications including combined sewer overflow control, sediment and water quality retrofits, and existing or new green and gray infrastructure. It provides cost savings through reduced capital and operating costs while helping utilities stay compliant with water quality regulations.
Measuring Change with Radar Imagery_Richard Goodman - Intergraph Geospatial W...IMGS
The document discusses the importance of measuring change using RADAR imagery. It provides examples of how RADAR has been used to monitor natural disasters like tornadoes, earthquakes, floods, and oil spills. RADAR data is well-suited for change measurement because it can see through clouds and darkness and man-made structures provide strong reflections. Interferometric processing of RADAR data pairs enables coherence change detection and displacement mapping with centimeter accuracy, allowing monitoring of subsidence from activities like resource extraction. The document also describes how ERDAS Imagine software and its radar tools were used by Kongsberg Satellite Services to develop an oil spill and vessel detection system from satellite imagery within 30 minutes of acquisition.
Lecture 8 Automatic and Continuous Monitoring of IAQDenis Wong
This document discusses indoor air quality (IAQ) monitoring and management. It emphasizes the importance of establishing IAQ standards and guidelines to facilitate objective measurement and communication. Automatic and continuous IAQ profiling systems are presented as quantitative, accurate and cost-effective tools to benchmark indoor environments over time for management, control and legislative purposes. Examples demonstrate how IAQ profiles can be reproduced at different locations and dates, showing their utility as standards.
This document summarizes a project to develop smart eco-districts in Washington DC using Internet of Things sensors. The project would scale an existing smart city project on Pennsylvania Avenue to connect four eco-districts with an open data system. In phase one, the plan is to add environmental sensor arrays to the Pennsylvania Avenue project and develop a sensor array prototype. In phase two, the goal is to complete pilot smart eco-district projects in each district, deploy an open data hub, and establish a sensor developer program for students.
UAV imagery processed through SfM software yields ortho mosaics that can be then analyzed further. Automated image alignment makes time series analysis possible. Find out how Geomatica can be used to help you get more from imagery. From LAS point cloud interpolation, image to image alignment, vegetation assessment, stockpile measurement, and more. Geomatica also includes a python powered development platform making it the best option to extend processing capability to develop operational applications.
1) The document describes an experimental study that uses a sensor fusion system of acoustic emission signals, cutting force signals, and temperature signals to detect tool breakage in real-time during turning operations.
2) 27 experiments were conducted using 3 different tool types, 3 cutting speeds, and 3 feed rates. The sensor fusion system successfully detected tool breakage based on simultaneous spikes in the acoustic emission and cutting force signals.
3) Acoustic emission signals were found to be the most sensitive to tool breakage detection, showing a 2.5x increase at breakage compared to a 42% increase for cutting forces and 5% for temperature. However, combining the different sensor signals provides additional information to accurately identify tool breakage
O documento resume um trabalho de português sobre Guimarães Rosa e o modernismo realizado por alunos do turno da tarde, sob a supervisão da professora Silvânia. Apresenta uma breve biografia de Guimarães Rosa e detalha sua obra principal, além de fornecer um contexto sobre o modernismo brasileiro e a recepção da obra de Rosa.
This document is a resume for Kieran Bruce providing contact information, education history, work history, and key attributes. It summarizes his experience working in sales, self-employment as a decorator, administration roles in healthcare and insurance, and skills in communication, adaptability, teamwork, and meeting deadlines. References are available upon request.
TECHNOLOGY TRANSFER LICENSING AGREEMENTS-PRESENTATIONGauri Chaturvedi
This document discusses antitrust issues related to technology transfer licensing agreements. It notes that licensing is necessary for cumulative, sequential, and complementary innovation. However, licensing restrictions like sales limitations, tying, exclusive grants, and excessive royalties can raise antitrust concerns. The document examines exclusive licensing and royalty obligations under antitrust laws and outlines factors like market power and competitive effects that determine antitrust assessments. It also provides the analytical framework for evaluating IP licensing practices under the Indian Competition Act and summarizes key cases addressing issues like software restrictions and standard-essential patents. The conclusion advocates a case-by-case approach balancing competition and innovation incentives.
This document discusses security issues and challenges related to data security in cloud computing. It begins by providing background on cloud computing and its benefits. It then discusses some key security challenges including data breaches, insecure interfaces, denial of service attacks, eavesdropping, data loss, lack of compatibility between cloud services, abuse of cloud technologies, insufficient user understanding of risks, and safe storage of encryption keys. It also discusses issues regarding data integrity verification and privacy when data is outsourced to cloud servers. In the end, it recommends solutions such as homomorphic encryption, decentralized information flow control, and data accountability frameworks to enhance security in cloud computing.
This document summarizes computational analysis methods for determining expectation values commonly used in bioinformatics databases. It discusses tools like BLAST, FASTA, and databases like NCBI that allow querying and analyzing sequences. The expectation value provides the probability that a match could occur by chance, with lower values indicating higher quality matches. These tools and databases facilitate customizable extraction of data from sequences to enable further analysis and knowledge discovery in bioinformatics.
Mahkota Protection & Control Sdn Bhd is an engineering company located in Petaling Jaya, Malaysia that has been manufacturing control relay panels for over 45 years. They have produced over 20,000 panels and have the capacity to manufacture 350 panels per year. The company aims to consolidate their strategies and expand into niche markets. Their panels are designed and manufactured locally by experienced engineers and technicians.
The document summarizes the impact of early community engagement on Phase 1 of the Melbourne Genomics Health Alliance project. It discusses how the Community Advisory Group (CAG) provided input that improved various aspects of the project like communication, website design, patient portal development, and more. Their involvement helped ensure the work was guided by community perspectives and led to things like better consent forms and a more patient-centered approach. The CAG maintained a register to track their impact and recommendations. They advise continuing community involvement in Phase 2 to further improve the project.
This document discusses scheduling solutions in industrial contexts. It provides an overview of ABB, a global leader in power and automation technologies. The document outlines key trends like big data, cloud computing, and the Internet of Things that are affecting production planning and scheduling. It also discusses challenges in deploying scheduling solutions and ensuring they provide value to both suppliers and end users. Effective system integration, quick proof-of-concept tests, and allowing manual adjustments are important lessons learned from previous implementations.
How a Leading Brand Achieved Digital Transformation at a Global Scale - Jeff ...MuleSoft
With large enterprises, there is a greater demand on IT to rapidly deploy mission critical application across the globe, securely, reliably and with high availability. Please join us to learn the four essentials of an enterprise platform that is critical when deploying applications in a large enterprise. A representative from one of the largest brands in the world will share the enterprise grade solutions they were seeking and how Mulesoft was able to live up to the challenge.
Monitoring your applications, get into a framework of proactive application fixing instead of reactive. And with IBM, reduce your outages with the of predictive insights.
Aricent Overview, as presented at NexGen Telecom, South AfricaAricentCSS
Aricent is a global product engineering and digital transformation company with over 10,000 employees working across 36 locations worldwide. They provide strategy, research, design and engineering services to help clients address challenges in new markets, competition, business models and customer retention. The document outlines Aricent's capabilities and case studies working with telecom companies to create new services, gain efficiencies, enhance revenue streams and transform to focus on customer experience.
Switch Automation provides energy management software to help reduce costs and improve sustainability. Their previous solution required extensive time and resources. They partnered with FreezePro Software to develop a new cloud-based platform using Microsoft Azure. This allows users to remotely access and automate data collection from sensors to generate automated reports and analyze buildings from any location. The new system provides real-time reporting and analysis across platforms while minimizing human resource needs. Switch Automation saw successful results including improved property ROI analysis and automated, cross-platform energy management.
Learn more about SCADA expert ClearSCADA:
- Simplicity & Enhanced User Experience for faster deployment and improved time-to-market
- Reduced Maintenance Efforts for protection of investment
- Enhanced Security capability for better protection of the system
- Enhanced Operational Intelligence to help optimize operations and maintenance activities
- Integrated with the complete Schneider Electric Telemetry portfolio
Systematic decision support for architectural design decisions is a major concern for software architects of evolving service-oriented systems. In practice, architects often analyse the expected performance and reliability of design alternatives based on prototypes or former experience. Model-driven prediction methods claim to uncover the tradeoffs between different alternatives quantitatively while being more cost-effective and less error-prone. However, they often suffer from weak tool support and focus on single quality attributes. Furthermore, there is limited evidence on their effectiveness
based on documented industrial case studies. Thus, we have applied a novel, model-driven prediction method called Q-ImPrESS on a large-scale process control system consisting of several million lines of code from the automation domain to evaluate its evolution scenarios. This presentation reports our experiences with the method and lessons learned. Benefits of Q-ImPrESS are the good architectural decision support and comprehensive tool framework, while one drawback is the time-consuming data
collection.
Pivoting event streaming, from PROJECTS to a PLATFORMconfluent
The document discusses how companies are adopting event streaming platforms to drive business value by processing data in real-time. It outlines a typical customer journey from initial projects to building a centralized event streaming platform. Migrating from discrete projects to a platform allows companies to achieve operational efficiencies, improve customer experiences, and explore new business models by processing data as it happens across the organization on a single, unified infrastructure. The document argues that as software and data become more important, event streaming platforms can serve as the "central nervous system" for digital businesses by powering a wide range of real-time applications.
The goal of this presentation is to understand how to identify the greatest vendor-related risks for an AMI deployment, understand who the stakeholders are for an AMI roll out, and to review and discuss examples of risk mitigation.
VCST implemented a digital transformation initiative using a smart factory platform to improve operational efficiency. They partnered with AdUltima and PTC to develop solutions around production planning, OEE measurement, NVH optimization, material traceability, and closed-loop quality control. The approach taken was to build upon existing IT systems using an ISA-95 data model and hybrid capabilities. The goals were to reduce costs, improve competitiveness through data-driven insights, and scale the platform across multiple sites. Further developments are focused on expanding machine connectivity and leveraging additional PTC software solutions.
This document discusses Fujitsu's approach to conducting an Application Value Assessment (AVA) to evaluate legacy applications. The AVA is a 5-stage process that involves gathering data on applications, analyzing the data, and presenting findings to identify opportunities to reduce costs and modernize applications. The AVA provides insights into an application's business value, technical issues, and viability for modernization. Fujitsu uses standardized templates and metrics to evaluate applications and provide recommendations.
Single platform to take care different manufacturer field level devices such as PLC, Robot, HMI, SCADA, Camera, and CNC Machine.
Reduce Audit effort by more than 30%
Technical Webinar with AWS - Everything You Need to Measure in Your MigrationNew Relic
This webinar discusses strategies for measuring application performance during a migration to AWS. It emphasizes starting instrumentation early in the planning process to establish performance baselines and uncover dependencies. The webinar covers portfolio discovery steps like identifying applications, servers, and connections to determine resource needs. It also discusses common migration strategies like re-hosting, re-purchasing, or refactoring applications. Finally, it stresses the importance of ongoing monitoring and optimization after migration to resolve issues and fine-tune performance.
June 09 - build recurring revenue from reactive customersSolarwinds N-able
75% of SMBs purchasing IT services do so reactively, forcing you to wait for their business. This webinar will show you how to proactively monitor these customer’s networks at no cost and generate reports- a strategy that builds recurring revenue from reactive customers.
Join Scott Parker and Somya Bahadur for this 30 minute presentation and learn about:
• Using free licenses to collect information about a reactive customer’s network
• Using discovery reports to identify upsell opportunities (Backup, AV, Patch)
• Using business reports to build trust with reactive customer and win more business
Case Study: Euroclear Adopts Continuous Delivery for New Customer-facing Appl...CA Technologies
Euroclear, a Belgium-based financial services company and the world's largest provider of domestic and cross-border settlement and related services for bond, equity and fund transactions, needed help in launching a critical new customer-facing application. In the context of a heightened competitive environment and the financial market uncertainties, a lengthy application development cycle was not appropriate anymore. They needed a solution that would automate their release processes and enable them to drastically reduce their deployment time. Learn from their experience, the steps they took and the amazing results they achieved, such as reducing deployment time by 95%, on their journey towards Continuous Delivery.
For more information, please visit http://cainc.to/Nv2VOe
The document discusses Generali's journey towards building a real-time data platform called the Connection Platform (CoPa) using Kafka and related technologies. It describes Generali's starting position facing regulatory pressure and changing customer expectations. It then outlines Generali's initial strategy, a high-level solution sketch for CoPa, and lessons learned from the project so far. CoPa is now running in production with over 300 topics across 5 environments to power new projects and applications.
Deutsche Bahn: Reducing application time-to-market while improving overall qu...CAST
Deutsche Bahn is one of the world’s largest mobility and logistics service providers. Rapidly changing market conditions require flexible, frequent and short-term adaptations to their existing systems. To achieve quick time-to-market, they implemented CAST to improve the overall quality of their applications and facilitate system flexibility and faster delivery.
This document discusses strategies for building a successful industrial robotics service organization. It notes that the industrial robotics market has grown over 11% annually from 2016-2021. Key drivers of growth include re-shoring of production, labor shortages, and advancements in technologies like vision, AI, and human-robot collaboration. The document outlines several phases of the customer service lifecycle from start-up to production improvement. It emphasizes the importance of digital tools, remote support, training, and developing innovative service models like condition-based maintenance and robotics-as-a-service. Key success factors highlighted include investing in an installed base management system, pricing spare parts competitively, and focusing on service level agreements.
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