The document describes a case study of using wireless technology and a tablet-based process control software platform connected to wireless sensors to create simple laboratory tools for an honours research project. A survey found that honours students typically have less than 3 months to set up experiments and collect data manually, while PhD students have more time but experiments are more complex. The case study involved using wireless sensors connected to a tablet to automatically collect data from a vacuum membrane distillation experiment over several hours with minimal setup time. The outcomes were a shorter learning curve, reduced errors from manual data collection, and simpler experimental setup compared to traditional wired systems.
Gareth Digby: Systems-Based Approach to Cyber Investigations EnergyTech2015
EnergyTech2015.com
ENERGIZING MBSE IN ORGANIZATIONS
Track 3 Session 4 Moderator: Matthew Hause
Implementing System Engineering disciplines and practices in an energy company and a panel discussion of how to promote the use of MBSE in the energy systems.
Gareth Digby: A Systems-based Approach To Cyber Investigations The presentation discusses the role of a systems-based approach to cyber investigations and demonstrates how such an approach can help the investigator ensure that a holistic view is take to the identification and analysis of appropriate evidence. Systems engineers are familiar with the need to consider the system within its environment while being aware of the interaction of the system with both people and other systems. These aspects also need to be considered when we investigate what has happened to a system as well as when we create systems.
One element of this systems-based approach is the Human-System-Environment matrix, which offers an appropriate framework to guide the collection of evidence. In particular the matrix emphasizes the temporal aspects associated with evidence gathering. In addition the cyber investigator is not dealing with a system in isolation. The systems-based approach discusses the need to identify the interfaces of the system with the greater system-of-systems.
The value of this systems-based approach to the various stages of a cyber investigation is described, including during the incident investigation, the collection of evidence and the analysis of data. This systems-based approach for an investigation gives the investigator the freedom to go in appropriate directions as the investigation proceeds while ensuring the investigator covers the breadth needed
Research has traditionally been limited to select groups like students and those in academia or large tech companies. However, the world is now experiencing disruptions from new technologies that require continuous research involving end users, industry, and universities. Research can no longer exist independently and must involve continuous delivery and feedback between these groups. Going forward, we need applied research at every level from higher education to industry to be successful. Researchers should develop both an engineering and business mindset to effectively deliver their work.
Design and Development Low Cost Coral Monitoring System for Shallow Water bas...Abid Famasya A
This document proposes the design and development of a low-cost coral monitoring system using Internet of Underwater Things technology. It describes using off-the-shelf components like a Raspberry Pi, underwater camera, and modem to create a prototype that can automatically acquire images of coral reefs every 60 minutes. Test results showed that using a coaxial cable to transmit images underwater provided more stable connections than WiFi. While integrating the system with a Hadoop distributed server for large image storage was 3 times slower than a single server. The conclusion is that a low-cost coral monitoring system was successfully created to continuously monitor coral reefs using underwater imaging and Big Data technologies.
The SAMPL workshop aims to expose the SAMPL team's activities in sub-Nyquist sampling and super-resolution applications. The workshop goals are to initiate collaborations and recruit researchers. The SAMPL group conducts research in medical imaging, communications, radar, and optics. They have close collaborators in academia and industry partners. The SAMPL lab involves many student projects, awards, and technology demos. The vision is connecting theory and engineering while training students and impacting science and technology.
This document discusses the PROMISE (Predictive Modeling in Software Engineering) organization and open issues in software engineering data mining. It notes that while traditional empirical software engineering research requires extensive data collection, induction studies using data mining can reuse existing data repositories to gain new insights more quickly. However, issues include conclusion instability, privacy concerns, and data quality problems. The document provides updates on PROMISE proceedings, best paper awards, and plans for future events and publications.
This document outlines the timeline and tasks for developing a computer lab at the Haven Teen Center from January to May. It includes phases for analysis, hardware and software installation, testing, training, documentation, piloting and deployment. A floor plan shows the layout of 20 computer stations. Potential risks are identified such as user conflicts, technical issues and lack of resources or commitment. Progress reports note that installation and upgrades went well due to community support, but some cabling issues arose due to old wiring which caused delays. The project is nearing completion with post implementation review remaining.
This job posting is seeking an Instrumentation Technician to join a group of environmental scientists in Lancaster. The main responsibilities of the role include calibrating and maintaining electronic field and laboratory sensors, designing and building new electronic equipment, programming data loggers, and assisting with fieldwork. The ideal candidate will have a degree or equivalent qualification in engineering or science, experience in electronics, an aptitude for programming, and the ability to problem solve independently.
Gareth Digby: Systems-Based Approach to Cyber Investigations EnergyTech2015
EnergyTech2015.com
ENERGIZING MBSE IN ORGANIZATIONS
Track 3 Session 4 Moderator: Matthew Hause
Implementing System Engineering disciplines and practices in an energy company and a panel discussion of how to promote the use of MBSE in the energy systems.
Gareth Digby: A Systems-based Approach To Cyber Investigations The presentation discusses the role of a systems-based approach to cyber investigations and demonstrates how such an approach can help the investigator ensure that a holistic view is take to the identification and analysis of appropriate evidence. Systems engineers are familiar with the need to consider the system within its environment while being aware of the interaction of the system with both people and other systems. These aspects also need to be considered when we investigate what has happened to a system as well as when we create systems.
One element of this systems-based approach is the Human-System-Environment matrix, which offers an appropriate framework to guide the collection of evidence. In particular the matrix emphasizes the temporal aspects associated with evidence gathering. In addition the cyber investigator is not dealing with a system in isolation. The systems-based approach discusses the need to identify the interfaces of the system with the greater system-of-systems.
The value of this systems-based approach to the various stages of a cyber investigation is described, including during the incident investigation, the collection of evidence and the analysis of data. This systems-based approach for an investigation gives the investigator the freedom to go in appropriate directions as the investigation proceeds while ensuring the investigator covers the breadth needed
Research has traditionally been limited to select groups like students and those in academia or large tech companies. However, the world is now experiencing disruptions from new technologies that require continuous research involving end users, industry, and universities. Research can no longer exist independently and must involve continuous delivery and feedback between these groups. Going forward, we need applied research at every level from higher education to industry to be successful. Researchers should develop both an engineering and business mindset to effectively deliver their work.
Design and Development Low Cost Coral Monitoring System for Shallow Water bas...Abid Famasya A
This document proposes the design and development of a low-cost coral monitoring system using Internet of Underwater Things technology. It describes using off-the-shelf components like a Raspberry Pi, underwater camera, and modem to create a prototype that can automatically acquire images of coral reefs every 60 minutes. Test results showed that using a coaxial cable to transmit images underwater provided more stable connections than WiFi. While integrating the system with a Hadoop distributed server for large image storage was 3 times slower than a single server. The conclusion is that a low-cost coral monitoring system was successfully created to continuously monitor coral reefs using underwater imaging and Big Data technologies.
The SAMPL workshop aims to expose the SAMPL team's activities in sub-Nyquist sampling and super-resolution applications. The workshop goals are to initiate collaborations and recruit researchers. The SAMPL group conducts research in medical imaging, communications, radar, and optics. They have close collaborators in academia and industry partners. The SAMPL lab involves many student projects, awards, and technology demos. The vision is connecting theory and engineering while training students and impacting science and technology.
This document discusses the PROMISE (Predictive Modeling in Software Engineering) organization and open issues in software engineering data mining. It notes that while traditional empirical software engineering research requires extensive data collection, induction studies using data mining can reuse existing data repositories to gain new insights more quickly. However, issues include conclusion instability, privacy concerns, and data quality problems. The document provides updates on PROMISE proceedings, best paper awards, and plans for future events and publications.
This document outlines the timeline and tasks for developing a computer lab at the Haven Teen Center from January to May. It includes phases for analysis, hardware and software installation, testing, training, documentation, piloting and deployment. A floor plan shows the layout of 20 computer stations. Potential risks are identified such as user conflicts, technical issues and lack of resources or commitment. Progress reports note that installation and upgrades went well due to community support, but some cabling issues arose due to old wiring which caused delays. The project is nearing completion with post implementation review remaining.
This job posting is seeking an Instrumentation Technician to join a group of environmental scientists in Lancaster. The main responsibilities of the role include calibrating and maintaining electronic field and laboratory sensors, designing and building new electronic equipment, programming data loggers, and assisting with fieldwork. The ideal candidate will have a degree or equivalent qualification in engineering or science, experience in electronics, an aptitude for programming, and the ability to problem solve independently.
A personal journey towards more reproducible networking researchOlivier Bonaventure
The document discusses reproducibility in networking research. It summarizes a study on the accessibility of software artifacts from papers presented at SIGCOMM, CoNEXT, and Hotnets conferences between 2013-2014. The study found that only a small portion had their software artifacts publicly available either through a URL in the paper or by contacting the authors. It provides recommendations to improve reproducibility, such as encouraging authors to release source code and data with their papers. The document also discusses challenges around handling and sharing privacy-sensitive network data.
This slide is prepared for the sole purpose of filling up the survey .
All images were taken from google, and information from eresearchSA.edu.au
Survey Link : http://tinyurl.com/c2uoarm (google docs)
Working with Instrument Data (GlobusWorld Tour - UMich)Globus
This document discusses using Globus to automate the management and analysis of large scientific instrument data. It provides examples of challenges with managing large datasets from the Event Horizon Telescope and applying Globus services and automation to help address these challenges. Specific use cases discussed include building connectomes from microscopy data and applying deep learning to flag bad scanning electron microscope images. The document emphasizes that automation needs transparency, results need to be easily findable, and leveraging specialized services can help.
ARIADNE is an EU-funded project that provides an overview of the data lifecycle from initial project design and data creation through archiving and re-use. The stages include planning methods, recording data during fieldwork or laboratory work, documenting data to support future analysis and reuse, and depositing well-documented data in an archive. Proper documentation and metadata capture at each stage, from project start to archiving, ensures data can be understood, selected for long-term preservation, and discovered for new research uses over time. Reusing existing archived data supports new discoveries and data preservation.
A short presentation of ISEEK being used for distributed processing in a digital forensics mode. Includes examples of complex search terms and comparisons with the results of alternative approaches.
This document discusses how new technologies can help free up investigators' time to engage with patients by streamlining clinical trial processes. It identifies several challenges sites currently face, such as excessive paperwork, multiple vendor systems, and time-consuming monitoring visits. The document proposes potential solutions like adopting a single technology platform to manage various trial functions, using electronic systems to replace paper where possible, and enabling remote access and monitoring. It argues these changes could allow sites to spend more time on patient-focused tasks while still maintaining high data quality and regulatory compliance.
N=10^9: Automated Experimentation at ScaleOptimizely
Wojciech Galuba, Decision Tools Lead, Facebook
Experimentation is a valuable tool for supporting product decisions, iterating on features and gaining actionable insights into people's behavior.
In this session Wojciech Galbua, Data Scientist at Facebook, presents an overview of Facebook's experimentation framework and how it is used to make day-to-day data-driven decisions at global scale.
The talk focuses on the challenges of building and scaling the analytics infrastructure, designing the tools for ease-of-use and ensuring broad adoption of sound experimentation methodologies across all the teams.
This document discusses the importance of maintaining accurate experimental records and data. It covers recording data in laboratory notebooks, both paper notebooks and electronic notebooks. Paper notebooks should contain detailed notes of experiments including equipment, materials, methods, results and conclusions. Entries should be made in permanent ink without errors or empty spaces. Electronic notebooks offer benefits like easier searching, data sharing between collaborators, automatic backups, and audit trails of changes made. Overall electronic notebooks improve research accuracy and precision compared to paper notebooks, while also being more cost effective.
AIAA Conference - Big Data Session_ Final - Jan 2016Manjula Ambur
The NASA Langley Research Center focuses on several technical areas including aerosciences, materials, modeling and simulation, and advanced IT. It aims to develop a "virtual research partner" using big data analytics, machine learning, and cognitive computing to gain insights from large datasets. Several pilot projects are exploring techniques like anomaly detection, time series analysis, and knowledge graphing to analyze materials testing, aeroelasticity, and cognitive state data. The goals are to automate tasks, discover new correlations, and develop virtual assistants to augment expert decision making.
Synergy 2014 - Syn122 Moving Australian National Research into the CloudCitrix
The document summarizes the National Servers Project (NSP) which provides a cloud platform for hosting core services for Australian researchers. The NSP aims to provide a reliable, secure environment for researchers to host important applications so they can focus on managing their research. It highlights how the NSP was implemented including building the management stack and offering self-service features to allow researchers to control virtual machines. Several national research projects are using the NSP including IMOS, Quadrant and TERN.
TERN's Siddeswara Guru presents on the Australian Ecosystem Science Cloud, which will provide the ecosystem science community improved access to shared data, tools, platforms and computing resources.
Examining New Research Capabilities and Technology for Preclinical Telemetry ...InsideScientific
For many years rodent telemetry researchers have struggled with limited data collection flexibility, challenges of scalability and a combination of high setup and operation costs that have combined to limit research applications, leaving significant preclinical findings undiscovered. Implant communication interference has demanded special install conditions, systems were too bulky and implants were constantly being explanted and returned for service. This webinar presents new telemetry technologies that address these challenges and introduce exciting capabilities to preclinical researchers working with rodent models.
In this exclusive webinar sponsored by Indus Instruments, Dr. Anil Reddy and Graham Sattler will discuss new research possibilities and advantages that a recently released telemetry system brings to mouse, rat and other small animal researchers. Attendees will see novel data collection protocols and learn how long-term monitoring, device recovery and reuse, study scalability and social housing are enabled with the MouseMonitor Telemetry system.
Key Topics:
data collection flexibility through customizable scheduling
the importance of device reusability
the research impact of long-term monitoring studies
simplified system setup and operation
the importance of social housing on animal welfare
compact, mobile system installations with greatly reduced vertical & horizontal cage spacing
1) The document outlines Muhammad Ans Jamil's masters research project which involves conducting a scoping review on emerging data storage technologies.
2) The project involves identifying key concepts and literature on the topic, selecting relevant research articles, and presenting and writing up the findings.
3) The method section describes searching databases like Science Direct and Google Scholar to find recent articles on topics like emerging storage technologies and DNA storage using keywords and filters.
Federation and Interoperability in the Nectar Research CloudOpenStack
Audience Level
Beginner
Synopsis
The Nectar Research Cloud provides an OpenStack cloud for Australia’s academic researchers. Since its inception in 2012 it has grown steadily to over 30,000 CPUs, with over 10,000 registered users from more than 50 research institutions. It is different to many clouds in being a federation across eight organisations, each of which runs cloud infrastructure in one or more data centres and contributes to a distributed help desk and user support. A Nectar core services team runs centralised cloud services. This presentation will give an overview of the experiences, challenges and benefits of running a federated OpenStack cloud and a short demonstration on using the Nectar cloud. We will also describe some current approaches that are looking to extend this federation to encompass other institutions including some in New Zealand, to extend the infrastructure using commercial cloud providers, and to move towards interoperability with the growing number of international science and research clouds through the new Open Research Cloud initiative.
Speaker Bio
Dr Paul Coddington is a Deputy Director of Nectar, responsible for the Nectar national Research Cloud, and also Deputy Director of eResearch SA. He has over 30 years experience in eResearch including computational science, high performance and distributed computing, cloud computing, software development, and research data management.
I am text block. Click edit button to change this text. Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo.
Virtual research environments for implementing long tail open scienceBlue BRIDGE
This document discusses virtual research environments (VREs) for supporting "long-tail open science". It defines VREs as operational environments that dynamically aggregate resources like data, services, and computing/storage for users. VREs aim to support collaborative research, reproducibility, and open sharing of data/findings while providing simplified access. The document outlines how VREs can be created on demand, integrated with applications/services, and used for collaborative experiments and workflows to enable repeatability and reuse of research. Real-world examples of VREs like D4Science are presented.
Christina Lake - Falmouth University - Talis Aspire Digitised ContentTalis
This document discusses the digitization services at Falmouth University and the University of Exeter, including the challenges faced with managing scans, complying with copyright law, and maintaining their in-house digitization system. It outlines the business case for adopting a new digitization system called TADC to improve management of scans, speed up the request and scanning process, and reduce the burden of ensuring copyright compliance. The benefits seen so far include smoother and faster processing of scans, increased scanning capacity, and availability of usage statistics. Remaining issues center around student data, restrictions on PDF files, additional logins required, and further integrating the new system.
Talk given for UW-Madison Ebling Library and School of Medicine and Public Health on 3 Dec 2013. It covers electronic laboratory notebooks and what to look for in the software.
Research data zone: veilige en geoptimaliseerde netwerkomgeving voor onderzoe...SURFnet
This document discusses using dedicated servers called data transfer nodes (DTNs) to improve data transfer speeds between research institutions. DTNs are part of a network architecture called a Science DMZ that optimizes high-speed transfers. The document recommends:
- Deploying high-performance DTNs with fast storage in a separate network zone dedicated to research data and services.
- Configuring lossless connections and security policies that don't impede transfers between DTNs and research networks.
- Educating IT departments on maintaining and supporting the infrastructure to improve end-user performance for data-intensive research collaborations.
• For a full set of 530+ questions. Go to
https://skillcertpro.com/product/servicenow-cis-itsm-exam-questions/
• SkillCertPro offers detailed explanations to each question which helps to understand the concepts better.
• It is recommended to score above 85% in SkillCertPro exams before attempting a real exam.
• SkillCertPro updates exam questions every 2 weeks.
• You will get life time access and life time free updates
• SkillCertPro assures 100% pass guarantee in first attempt.
A personal journey towards more reproducible networking researchOlivier Bonaventure
The document discusses reproducibility in networking research. It summarizes a study on the accessibility of software artifacts from papers presented at SIGCOMM, CoNEXT, and Hotnets conferences between 2013-2014. The study found that only a small portion had their software artifacts publicly available either through a URL in the paper or by contacting the authors. It provides recommendations to improve reproducibility, such as encouraging authors to release source code and data with their papers. The document also discusses challenges around handling and sharing privacy-sensitive network data.
This slide is prepared for the sole purpose of filling up the survey .
All images were taken from google, and information from eresearchSA.edu.au
Survey Link : http://tinyurl.com/c2uoarm (google docs)
Working with Instrument Data (GlobusWorld Tour - UMich)Globus
This document discusses using Globus to automate the management and analysis of large scientific instrument data. It provides examples of challenges with managing large datasets from the Event Horizon Telescope and applying Globus services and automation to help address these challenges. Specific use cases discussed include building connectomes from microscopy data and applying deep learning to flag bad scanning electron microscope images. The document emphasizes that automation needs transparency, results need to be easily findable, and leveraging specialized services can help.
ARIADNE is an EU-funded project that provides an overview of the data lifecycle from initial project design and data creation through archiving and re-use. The stages include planning methods, recording data during fieldwork or laboratory work, documenting data to support future analysis and reuse, and depositing well-documented data in an archive. Proper documentation and metadata capture at each stage, from project start to archiving, ensures data can be understood, selected for long-term preservation, and discovered for new research uses over time. Reusing existing archived data supports new discoveries and data preservation.
A short presentation of ISEEK being used for distributed processing in a digital forensics mode. Includes examples of complex search terms and comparisons with the results of alternative approaches.
This document discusses how new technologies can help free up investigators' time to engage with patients by streamlining clinical trial processes. It identifies several challenges sites currently face, such as excessive paperwork, multiple vendor systems, and time-consuming monitoring visits. The document proposes potential solutions like adopting a single technology platform to manage various trial functions, using electronic systems to replace paper where possible, and enabling remote access and monitoring. It argues these changes could allow sites to spend more time on patient-focused tasks while still maintaining high data quality and regulatory compliance.
N=10^9: Automated Experimentation at ScaleOptimizely
Wojciech Galuba, Decision Tools Lead, Facebook
Experimentation is a valuable tool for supporting product decisions, iterating on features and gaining actionable insights into people's behavior.
In this session Wojciech Galbua, Data Scientist at Facebook, presents an overview of Facebook's experimentation framework and how it is used to make day-to-day data-driven decisions at global scale.
The talk focuses on the challenges of building and scaling the analytics infrastructure, designing the tools for ease-of-use and ensuring broad adoption of sound experimentation methodologies across all the teams.
This document discusses the importance of maintaining accurate experimental records and data. It covers recording data in laboratory notebooks, both paper notebooks and electronic notebooks. Paper notebooks should contain detailed notes of experiments including equipment, materials, methods, results and conclusions. Entries should be made in permanent ink without errors or empty spaces. Electronic notebooks offer benefits like easier searching, data sharing between collaborators, automatic backups, and audit trails of changes made. Overall electronic notebooks improve research accuracy and precision compared to paper notebooks, while also being more cost effective.
AIAA Conference - Big Data Session_ Final - Jan 2016Manjula Ambur
The NASA Langley Research Center focuses on several technical areas including aerosciences, materials, modeling and simulation, and advanced IT. It aims to develop a "virtual research partner" using big data analytics, machine learning, and cognitive computing to gain insights from large datasets. Several pilot projects are exploring techniques like anomaly detection, time series analysis, and knowledge graphing to analyze materials testing, aeroelasticity, and cognitive state data. The goals are to automate tasks, discover new correlations, and develop virtual assistants to augment expert decision making.
Synergy 2014 - Syn122 Moving Australian National Research into the CloudCitrix
The document summarizes the National Servers Project (NSP) which provides a cloud platform for hosting core services for Australian researchers. The NSP aims to provide a reliable, secure environment for researchers to host important applications so they can focus on managing their research. It highlights how the NSP was implemented including building the management stack and offering self-service features to allow researchers to control virtual machines. Several national research projects are using the NSP including IMOS, Quadrant and TERN.
TERN's Siddeswara Guru presents on the Australian Ecosystem Science Cloud, which will provide the ecosystem science community improved access to shared data, tools, platforms and computing resources.
Examining New Research Capabilities and Technology for Preclinical Telemetry ...InsideScientific
For many years rodent telemetry researchers have struggled with limited data collection flexibility, challenges of scalability and a combination of high setup and operation costs that have combined to limit research applications, leaving significant preclinical findings undiscovered. Implant communication interference has demanded special install conditions, systems were too bulky and implants were constantly being explanted and returned for service. This webinar presents new telemetry technologies that address these challenges and introduce exciting capabilities to preclinical researchers working with rodent models.
In this exclusive webinar sponsored by Indus Instruments, Dr. Anil Reddy and Graham Sattler will discuss new research possibilities and advantages that a recently released telemetry system brings to mouse, rat and other small animal researchers. Attendees will see novel data collection protocols and learn how long-term monitoring, device recovery and reuse, study scalability and social housing are enabled with the MouseMonitor Telemetry system.
Key Topics:
data collection flexibility through customizable scheduling
the importance of device reusability
the research impact of long-term monitoring studies
simplified system setup and operation
the importance of social housing on animal welfare
compact, mobile system installations with greatly reduced vertical & horizontal cage spacing
1) The document outlines Muhammad Ans Jamil's masters research project which involves conducting a scoping review on emerging data storage technologies.
2) The project involves identifying key concepts and literature on the topic, selecting relevant research articles, and presenting and writing up the findings.
3) The method section describes searching databases like Science Direct and Google Scholar to find recent articles on topics like emerging storage technologies and DNA storage using keywords and filters.
Federation and Interoperability in the Nectar Research CloudOpenStack
Audience Level
Beginner
Synopsis
The Nectar Research Cloud provides an OpenStack cloud for Australia’s academic researchers. Since its inception in 2012 it has grown steadily to over 30,000 CPUs, with over 10,000 registered users from more than 50 research institutions. It is different to many clouds in being a federation across eight organisations, each of which runs cloud infrastructure in one or more data centres and contributes to a distributed help desk and user support. A Nectar core services team runs centralised cloud services. This presentation will give an overview of the experiences, challenges and benefits of running a federated OpenStack cloud and a short demonstration on using the Nectar cloud. We will also describe some current approaches that are looking to extend this federation to encompass other institutions including some in New Zealand, to extend the infrastructure using commercial cloud providers, and to move towards interoperability with the growing number of international science and research clouds through the new Open Research Cloud initiative.
Speaker Bio
Dr Paul Coddington is a Deputy Director of Nectar, responsible for the Nectar national Research Cloud, and also Deputy Director of eResearch SA. He has over 30 years experience in eResearch including computational science, high performance and distributed computing, cloud computing, software development, and research data management.
I am text block. Click edit button to change this text. Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo.
Virtual research environments for implementing long tail open scienceBlue BRIDGE
This document discusses virtual research environments (VREs) for supporting "long-tail open science". It defines VREs as operational environments that dynamically aggregate resources like data, services, and computing/storage for users. VREs aim to support collaborative research, reproducibility, and open sharing of data/findings while providing simplified access. The document outlines how VREs can be created on demand, integrated with applications/services, and used for collaborative experiments and workflows to enable repeatability and reuse of research. Real-world examples of VREs like D4Science are presented.
Christina Lake - Falmouth University - Talis Aspire Digitised ContentTalis
This document discusses the digitization services at Falmouth University and the University of Exeter, including the challenges faced with managing scans, complying with copyright law, and maintaining their in-house digitization system. It outlines the business case for adopting a new digitization system called TADC to improve management of scans, speed up the request and scanning process, and reduce the burden of ensuring copyright compliance. The benefits seen so far include smoother and faster processing of scans, increased scanning capacity, and availability of usage statistics. Remaining issues center around student data, restrictions on PDF files, additional logins required, and further integrating the new system.
Talk given for UW-Madison Ebling Library and School of Medicine and Public Health on 3 Dec 2013. It covers electronic laboratory notebooks and what to look for in the software.
Research data zone: veilige en geoptimaliseerde netwerkomgeving voor onderzoe...SURFnet
This document discusses using dedicated servers called data transfer nodes (DTNs) to improve data transfer speeds between research institutions. DTNs are part of a network architecture called a Science DMZ that optimizes high-speed transfers. The document recommends:
- Deploying high-performance DTNs with fast storage in a separate network zone dedicated to research data and services.
- Configuring lossless connections and security policies that don't impede transfers between DTNs and research networks.
- Educating IT departments on maintaining and supporting the infrastructure to improve end-user performance for data-intensive research collaborations.
Similar to Using Wireless Technology to Create Simple Laboratory Tools (20)
• For a full set of 530+ questions. Go to
https://skillcertpro.com/product/servicenow-cis-itsm-exam-questions/
• SkillCertPro offers detailed explanations to each question which helps to understand the concepts better.
• It is recommended to score above 85% in SkillCertPro exams before attempting a real exam.
• SkillCertPro updates exam questions every 2 weeks.
• You will get life time access and life time free updates
• SkillCertPro assures 100% pass guarantee in first attempt.
Gamify it until you make it Improving Agile Development and Operations with ...Ben Linders
So many challenges, so little time. While we’re busy developing software and keeping it operational, we also need to sharpen the saw, but how? Gamification can be a way to look at how you’re doing and find out where to improve. It’s a great way to have everyone involved and get the best out of people.
In this presentation, Ben Linders will show how playing games with the DevOps coaching cards can help to explore your current development and deployment (DevOps) practices and decide as a team what to improve or experiment with.
The games that we play are based on an engagement model. Instead of imposing change, the games enable people to pull in ideas for change and apply those in a way that best suits their collective needs.
By playing games, you can learn from each other. Teams can use games, exercises, and coaching cards to discuss values, principles, and practices, and share their experiences and learnings.
Different game formats can be used to share experiences on DevOps principles and practices and explore how they can be applied effectively. This presentation provides an overview of playing formats and will inspire you to come up with your own formats.
The importance of sustainable and efficient computational practices in artificial intelligence (AI) and deep learning has become increasingly critical. This webinar focuses on the intersection of sustainability and AI, highlighting the significance of energy-efficient deep learning, innovative randomization techniques in neural networks, the potential of reservoir computing, and the cutting-edge realm of neuromorphic computing. This webinar aims to connect theoretical knowledge with practical applications and provide insights into how these innovative approaches can lead to more robust, efficient, and environmentally conscious AI systems.
Webinar Speaker: Prof. Claudio Gallicchio, Assistant Professor, University of Pisa
Claudio Gallicchio is an Assistant Professor at the Department of Computer Science of the University of Pisa, Italy. His research involves merging concepts from Deep Learning, Dynamical Systems, and Randomized Neural Systems, and he has co-authored over 100 scientific publications on the subject. He is the founder of the IEEE CIS Task Force on Reservoir Computing, and the co-founder and chair of the IEEE Task Force on Randomization-based Neural Networks and Learning Systems. He is an associate editor of IEEE Transactions on Neural Networks and Learning Systems (TNNLS).
This presentation by Katharine Kemp, Associate Professor at the Faculty of Law & Justice at UNSW Sydney, was made during the discussion “The Intersection between Competition and Data Privacy” held at the 143rd meeting of the OECD Competition Committee on 13 June 2024. More papers and presentations on the topic can be found at oe.cd/ibcdp.
This presentation was uploaded with the author’s consent.
This presentation by OECD, OECD Secretariat, was made during the discussion “The Intersection between Competition and Data Privacy” held at the 143rd meeting of the OECD Competition Committee on 13 June 2024. More papers and presentations on the topic can be found at oe.cd/ibcdp.
This presentation was uploaded with the author’s consent.
This presentation by Tim Capel, Director of the UK Information Commissioner’s Office Legal Service, was made during the discussion “The Intersection between Competition and Data Privacy” held at the 143rd meeting of the OECD Competition Committee on 13 June 2024. More papers and presentations on the topic can be found at oe.cd/ibcdp.
This presentation was uploaded with the author’s consent.
11June 2024. An online pre-engagement session was organized on Tuesday June 11 to introduce the Science Policy Lab approach and the main components of the conceptual framework.
About 40 experts from around the globe gathered online for a pre-engagement session, paving the way for the first SASi-SPi Science Policy Lab event scheduled for June 18-19, 2024 in Malmö. The session presented the objectives for the upcoming Science Policy Lab (S-PoL), which featured a role-playing game designed to simulate stakeholder interactions and policy interventions for food systems transitions. Participants called for the sharing of meeting materials and continued collaboration, reflecting a strong commitment to advancing towards sustainable agrifood systems.
This presentation by Professor Giuseppe Colangelo, Jean Monnet Professor of European Innovation Policy, was made during the discussion “The Intersection between Competition and Data Privacy” held at the 143rd meeting of the OECD Competition Committee on 13 June 2024. More papers and presentations on the topic can be found at oe.cd/ibcdp.
This presentation was uploaded with the author’s consent.
1.) Introduction
Our Movement is not new; it is the same as it was for Freedom, Justice, and Equality since we were labeled as slaves. However, this movement at its core must entail economics.
2.) Historical Context
This is the same movement because none of the previous movements, such as boycotts, were ever completed. For some, maybe, but for the most part, it’s just a place to keep your stable until you’re ready to assimilate them into your system. The rest of the crabs are left in the world’s worst parts, begging for scraps.
3.) Economic Empowerment
Our Movement aims to show that it is indeed possible for the less fortunate to establish their economic system. Everyone else – Caucasian, Asian, Mexican, Israeli, Jews, etc. – has their systems, and they all set up and usurp money from the less fortunate. So, the less fortunate buy from every one of them, yet none of them buy from the less fortunate. Moreover, the less fortunate really don’t have anything to sell.
4.) Collaboration with Organizations
Our Movement will demonstrate how organizations such as the National Association for the Advancement of Colored People, National Urban League, Black Lives Matter, and others can assist in creating a much more indestructible Black Wall Street.
5.) Vision for the Future
Our Movement will not settle for less than those who came before us and stopped before the rights were equal. The economy, jobs, healthcare, education, housing, incarceration – everything is unfair, and what isn’t is rigged for the less fortunate to fail, as evidenced in society.
6.) Call to Action
Our movement has started and implemented everything needed for the advancement of the economic system. There are positions for only those who understand the importance of this movement, as failure to address it will continue the degradation of the people deemed less fortunate.
No, this isn’t Noah’s Ark, nor am I a Prophet. I’m just a man who wrote a couple of books, created a magnificent website: http://www.thearkproject.llc, and who truly hopes to try and initiate a truly sustainable economic system for deprived people. We may not all have the same beliefs, but if our methods are tried, tested, and proven, we can come together and help others. My website: http://www.thearkproject.llc is very informative and considerably controversial. Please check it out, and if you are afraid, leave immediately; it’s no place for cowards. The last Prophet said: “Whoever among you sees an evil action, then let him change it with his hand [by taking action]; if he cannot, then with his tongue [by speaking out]; and if he cannot, then, with his heart – and that is the weakest of faith.” [Sahih Muslim] If we all, or even some of us, did this, there would be significant change. We are able to witness it on small and grand scales, for example, from climate control to business partnerships. I encourage, invite, and challenge you all to support me by visiting my website.
Legislation And Regulations For Import, Manufacture,.pptx
Using Wireless Technology to Create Simple Laboratory Tools
1. Using Wireless Technology to Create
Simple Laboratory Tools: A Case-Study
of Honours Research
Dr. Shane Cox
Instrument Works Pty Ltd
Lloyd Lian, Prof. Greg Leslie, Joel Tan
UNESCO Centre for Membrane Science & Technology
UNSW Australia
2. Introduction
• Mobile technology has progressively become more
visible within higher education
• But seems to be lagging when it comes to research
• It presents as a cost-effective and portable option that
can increase the efficiency of research
• Today are presenting a case study has investigated the
use of a tablet-based process control software platform
connected to wireless sensors
3. • Sydney based startup company
• Ex-researchers – building better tools
for engineers and researcher
• Developing a range of wireless
sensors for data collection and process
control
4. Why is doing research slow?
• It can take up to 6 months to design and build experimental
apparatus before they are ready to use
• Experiments are becoming more complex - meaning more sensors
and more data
• Researchers aren’t able to manage all of these resources
• This substantially reduces the amount of research they
generate and also affects its quality.
5.
6.
7. What do researchers say?
• Conducted a survey of 45 engineering researchers
• Predominantly PhD and Honours Students
Build my own equipment
Adapt from existing equipment
Outsource building of my equipment
< 1 month
< 3 months
< 6 months
> 6 months
How long to get data
HonoursPhD
8. What do researchers say?
PhD
Matlab
Labview
Proprietary for Hardware
None
Honours
Matlab
Labview
Proprietary for Hardware
None
What control system / DAQ system do you use?
9. PhD Vs Honours
PhD
• 3+ years to complete their
research
• Have the time to invest in
setting up their experiments
• Longer experiments makes
manual collect infeasible
• More experienced researchers
Honours
• 10-14 weeks to complete their
research
• Experiments are simpler, and
have less sensors.
• Shorter experiments make
manual collection possible
• Usually their first introduction to
research
10. A Different Approach
• Common device most people already
have.
• Familiar user interface that require
little or no training.
• Ability to collect many types of data in
one place.
• Wireless technology makes
connection simple
11. Honours Case Study
• Project investigated the use of vacuum membrane distillation
as an alternative method to recover solvents from shipping
industry waste water which is currently treated through
incineration.
• This projects was suited to a trial as it required
• Experiments were only short term
• Required to be setup in a fume cupboard due to the volatile
components making a traditional wired system problematic
• Needed to collect data from a number of sensors at once.
13. Honours Case Study
• Data acquisition up and running in
less than an hour.
• Data recorded at regular intervals
during experiment.
• Alarms were used to ensure setpoints
were maintained.
• Exports as a CSV file, ready for data
analysis
14. Outcomes
• Shorter learning curve than existing tool such as Labview
• Reduced chance of transcription errors introduced with manual
data collection
• Reduced setup complexity through a lack of wiring and
connection decreasing the opportunity for problems and errors
• Provided a unified collection tool for the current project.
Editor's Notes
We’ve seen in recent years that mobile technology has become more visible in the higher education sector.
This is particularly the case in teaching through tools like moodle – blackboard, lecture videos and other online collaborative tool.
However, the uptake of new technology seems to be somewhat lagging when it comes to research.
The tools we use today are often the same as those we used a decade ago.
The use of mobile technologies often present a cost-effective and portable alternative to existing tools that also potentially enable a greater efficiency in our research practice.
And today we are going to present a case study that has investigated the use of a tablet based process control platform that connects to wireless sensors.
And just briefly – the process control system that we’ve used has been supplied by a company called Instrument Works.
They are a sydney based startup company
They have developing a range of wireless sensors that are able to connect
To their data collection and process control software platform
The company was created by a number of researchers who left academia to start the company
With an aim to build better tools for engineers and researchers to collect and manage data
That embraces new technology particularly the use of mobile devices.
So in term of context and motivation for this work – an looking at how mobile technology might help us improve our efficiency in our research and focusing on the field of engineering.
Its important to look at the problem we are trying to address.
Research – whether it be academic or commercial is a slow process
Its takes a long time to go from having an idea – to having the results to validate (or invalidate) that idea
We start with planning out ourexperiments / doing the experimental design.
We then go an obtain all of the parts, tools, sensors and equipment.
One interesting fact here is that in academia 80% of researchers report that they’ve had to beg/borrow and steal for equipment to complete there research.
We then assemble our apparatus
Setup our data collection and where relevant our control processes
And its only then that we can conduct our experiments and start to obtain results
And this isn’t a straight forward linear processs. We often have to iterate to get everything right, for the right results.
And it can take upwards of 6 months to get this process right.
What we’ve also seen in the past decade or so it that the availability and cost of sensors has reduced significantly meaning we are now able to measure more parameters than previously would have.
This invariably makes experimental setups more complex and is generating signicantly larger amounts of data for us to analyse.
Researchers aren’t able to manage all of these resources with the tools that we have available
And this not only affect the quantity of research we can complete – but also the quality of that research.
And by way of examples that you commonly see.
If you walk in to any research lab in any engineering faculty any where in the world what you see is this:
Researchers using tools that were developed 10-15 years ago.
The ability to collect data from these types of devices in limited
Such that the most common use case is for the data to be collected by hand
This typically results in two problems
Transcription errors either when writing the data down, or when subsequently transferrring them to a digital format.
The lack of collection of other metadata which can be used to ensure the results are valid
For example in this picture we have a research recording data from a pH meter.
Whilst the values are recorded what hasn’t been recorded are the
Details of the calibration, when it was calibrated, details of the device or the probe or the calibration solutions
Or perhaps she hasn’t recorded the temperature of the solution
And what this means is, if we later discover that there was a problem with the probe or the calibration – we aren’t able to go back and identify the data that may be contaminated
Or if we see some anomalies in the data aren’t able to look at some of those external influences that may have created that problem
Or at the other end of the spectrum – you might see this.
An elaborate experimental apparatus –
That had a lot of money spent on it to be built
thats been designed for a specific project / experiment or purpose but
That, isn’t flexible as if and when your experiments change
Or the experimental parameter or conditions change.
And significantly has been constructed in such a way that the users/researcher aren’t necessarily familiar with and are able to change/update or
Or the conditions change that you want to run those experiments
That uses tools that researchers aren’t familiar with and can’t modify
What you also find with these types of setups –
Is that when they are finished the project that they were designed for or the person that used them leaves
They end up sitting in the corner of the lab gathering dust
Or have some of their components removed and repurposed for other project – essentially rendering them useless for the next project that comes along.
And so based on this – we’ve been and dicussed these observations and conducted a survey with a number of engineering researchers who are predominantly PhD or Honours students.
What we see is that for PhD Students about 90% percent of them either build their own equipment or adapt what they are using from existing equipment.
And this makes sense when you consider much of what they are doing is extending the work of those before them.
But for honours students we see that very few build there own equipment – and this might be considered due to the time contraints of an honours project.
Most adapt it from other existing equipment similar to a PhD student.
But a significant portion outsource their equipment building. And when you drill in to this you find that the outsourcing is predominantly to the PhD student or post-doc that they are working most closely with.
We also looked at the software that they use to collect data and control their equipment.
For the PhD students – LabView is the tool that is most commonly used, follow by proprietary software rom the hardware suppliers, with a few using matlab – an in many cases they reported needing to use mulitple tools for collecting data.
For example – some sensors in a experiment being connected to labview and others using proprietary software.
But what also stands out is that in almost all cases they are using some tool to help them collect their data.
On the other hand for the Honours students
half of them, don’t use any tools and the other use either proprietary software or labview.
So what we see is that for an honours students are more likely to manually collect their data – hand writing out their data.
So what are the reasons for this difference
The first difference is that honours students only have a short period of time in which to do their research, typically only 10-14 weeks, compared to a PhD student which has 3 years.
And in that time they need to design, setup, run and analyse their data.
So their projects are simpler
The experiments are simpler
They collect less data and they are shorter
And this make it easier for them to collect data by hand rather than have to learn new tools
For honours students this is often their first introduction to research, so their skills are limited to begin with.
As a result the experiments tend to be simpler and shorter, which make it more convenient to collect stand
So an alternative approach – with the instrument works system
is to use a device that our students already have, their smart phone – or provie a deidcated device such as an ipod or ipad.
What that provides is a user interface that they are already familiar with.
What also interesting with with mobile devices you notice is that most apps don’t come with manuals or instructions but a common design paradigm that makes them easy to use and require little or no training
Which is important for students who don’t have the time to learn a new set of tools.
And with wireless connectivity – in this case Bluetooth low energy – we are able to connect to a range of different sensors and collect all of their data in one place.
As a first case study – we’ve had a student trialing the system during their Honours project in which they were investigating the recovery of solvents from wastewater in petroleum processing.
This was a particularly useful case for the trial as the experiment setup needed to be place in a fume cupboard due to the volatle components being treated, which made a wired DAQ systems that we might have otherwise used problematic.
This is experimental setup used in this project.
Where we are measuring the suction pressure on the vacuum side of the membrane.
We monitored the temperature of both the feed and permeate sides to ensure they remained at their set points
And a balance was employed to measure the membrane flux. (Although this was laterremoved as we weren’t able to get accurate results due to the low fluxes and the air flow in the fume cupboard)
Once the apparatus was setup – putting in the required sensors and setting up the data acquisition system on the phone took less than an hour.
Data was able to be recorded at set intervals of the students choice and alarms were used to watch the set points for the temperautre.
At the end of each experiment data was able to be exported via email as a CSV file where it was imported in to Excel for data analysis.
What we’ve found so far from this case study and using this tool – and we should point out that this case study is on going
It’s a shorter learning curve than existing tools such as labview, which we typically don’t or aren’t able to use with an honours project because they aren’t familiar with it.
By digitising the data collection process we reduce the chance of transcription errors due to manual data collection
We’ve also reduced the setup complexity through the use of wireless sensors – which makes the setup process quicker and reduces possible points of failure and the need for trouble shooting.
And finally we’ve provided a unified collection tool for sensor data for this project. Where previsouly we might have recorded the pressure data online but the balance data manually.