Greenhouse gas emissions calculations with AMEE
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AMEE is a platform for organizing and storing activity data and greenhouse gas emissions calculation methodologies. It provides all the necessary data and algorithms to calculate emissions within categories and for specific data items. Users provide details of their activities, like fuel consumption or electricity used, and AMEE calculates the associated greenhouse gas emissions. AMEE sources its data and methods from major international organizations to provide standardized, comprehensive emissions accounting.
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Future steps
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Jackie Young (Sustainable Development Coordinator Plymouth City Council/Plymouth Analysts Network) talks to the SWO Energy Policy Seminar on 'Measuring Resource Use'.
D3_Gupta
DECoRuM is a tool that estimates baseline energy use and carbon emissions from residential buildings and predicts emission reductions from various measures. It was developed to help local authorities track and reduce emissions. The tool was applied to a case study of 318 homes in Oxford, estimating current energy use, emissions and costs. Various carbon reduction strategies were analyzed, finding that solar water heating and photovoltaic systems could achieve over 60% reductions at relatively low cost compared to other approaches. DECoRuM can help local authorities and homeowners identify cost-effective ways to cut emissions from the domestic housing sector.
Esc Carbon Cut
CarbonCut is a Glasgow-based company that focuses on enterprise PC energy management. Their goal is to measure, monitor, and manage the global carbon footprint of IT devices. Using CarbonCut software, companies can reduce PC energy costs and carbon emissions by up to 60%. The software works by centrally managing hardware policies, power profiles, and other settings to ensure PCs reliably power down when not in use. This allows for significant energy savings. Case studies show customers achieving a return on investment within 9 months while reducing PC energy consumption by 30-40% and cutting electricity bills by tens of thousands annually.
The Business Challenges of the future Low Carbon Economy - Niall Brady
This is Niall Brady\'s presentation at the it@cork Green IT - Reduce CO2, Raise Profits Conference on November 26 2008 in Cork
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IRJET- Are Electric Vehicles Real Alternative for Petroleum based Vehicles? a...
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GRI Conference- 28 May - Busch- Carbon Performance and Measurement panel
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Future of Heavy Duty Vehicles CO2 Emissions Legislation and Fuel Consumption ...
Future of Heavy Duty Vehicles CO2 Emissions Legislation and Fuel Consumption ...
The Business Challenges of the future Low Carbon Economy - Niall Brady
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amee at O'Reilly Strata 2012
Using data as a weapon to tackle climate change.
I describe some of AMEE's journey: through open data aggregation and distribution, accessibility, provenance, and structure.
But better data isn't enough - no one (well, few) really cares about the science or the technology we need to engage with stakeholders to provide meaningful insight and relevance to their business.
Revolutionizing Emissions and Supply Chain Management
Presentation slides to accompany Gavin Starks' presentation at Verge 2012.
http://www.amee.com
http://www.greenbiz.com/events/2012/03/verge-2012
Sustainable Design
Sarah Krasley from Autodesk spoke about Sustainable Design at the recent London GreenHackathon.
Here are the slides for her talk.
Green Your Apps (at Over The Air 2011)
A brief overview of the AMEE platform and AMEEconnect API, presented at Over The Air 2011 by James Smith
Gavin Starks at TEDxNYC
The document discusses codifying sustainability data from various sources like the IPCC, EPA, and WRI to create standardized equations and models. It describes efforts to build a database of consumption and activity data from over 500,000 appliances to map efficiency. The goal is to develop a smarter energy grid and social energy graph by networking sustainability data from machine sources to track footprints across areas like energy, buildings, materials, agriculture, manufacturing and transportation.
How to decrease the environmental impact of your app
The document discusses reducing the environmental impact of technology through more sustainable practices. It notes that 180 million PCs are retired each year with 35 million going straight into landfills. It advocates for recycling electronics which could save 11 tonnes of CO2 emissions per tonne of waste. The document proposes aggregating all energy data on Earth to better track and reduce CO2 emissions by at least 80%. It provides examples of making servers, information storage, and apps more energy efficient. Overall, it argues for designing technology with energy use and sustainability in mind.
AMEE Guardian Activate NYC 20110428
Gavin Starks founded AMEE, a company that provides environmental data and analytics through SaaS applications and tools. AMEE's platform offers comprehensive and timely environmental intelligence to help answer millions of questions. It features a rapid development toolkit, explorer applications, and tools to access trusted environmental data on topics like energy, buildings, materials, agriculture, manufacturing, and transportation. AMEE also examines social and consumption data through initiatives like its Social Energy Graph and efficiency heatmap of appliances.
Explorer screencast
AMEE Explorer is a search engine for data and methodologies supported by AMEE. It allows users to search individual data items that are categorized by type such as drill, profile, or data. Each data item and value is separately searchable and itemized, with links to code snippets. A manual is also provided for using each AMEE category.
OpenTech 20100911 talk
The document discusses how the 2010s will be an age of scarcity due to climate change and carbon emissions. It notes data from various sources about rising global temperatures, declining Arctic ice levels, and the need to cut carbon emissions in half by 2050 to avoid much higher costs. The size of the problem is estimated at $270-316 trillion to meet energy demands through 2050. Renewable energy development and investment are increasing but major changes are still needed across many areas including energy production, transportation, buildings, and policy to transition away from carbon-intensive systems and address climate change.
Technical introduction to AMEE
The document describes an API for aggregating energy and activity data with carbon modeling capabilities. It provides details on authentication, storing user data in profiles, retrieving data categories and items, and documentation resources. The API allows developers to access authoritative models and store user data to calculate carbon footprints in 3 sentences or less.
Amee Overview
AMEE provides a platform to map, track, and connect the global carbon footprint of all economic activity on Earth. It aims to embed environmental intelligence into all products and services by providing standardized access to quality-controlled industry standards and models, as well as data warehousing for raw activity and consumption data through an authenticated network. This allows for full auditing and unlocking of data portability.
AMEE at Greennet
2.5kg of product produced results in 460kg of CO2e emissions if sent to landfill. The document discusses climate change, globalization, peak resources, and emerging ecosystems in relation to energy and carbon data. It presents several scenarios for how society might respond and transform to address resource scarcity and climate change, including increasing efficiency, incentivizing low-carbon services, and redefining societal priorities.
AMEE at SXSW 2009 show
This document discusses a company called AMEE that develops tools to measure and track energy usage and carbon emissions data. AMEE provides carbon footprint calculations and works with governments, social networks, and new services. One product is Gigulator which measures the carbon footprint of tours, festivals, and concerts.
AMEE at eTech
This document discusses producing 2.5kg of a product that results in 460kg of carbon dioxide equivalent (CO2e) being emitted if the product is sent to landfill. It also lists Gavin Starks' contact information.
AMEE 2: New Features (+ audio)
The document contains information about various features and capabilities of AMEE 2, including enhanced time resolution, built-in unit conversion, Atom format for data, support for the Atom Publishing Protocol, simplified authentication, and making data more accessible through email and web addresses provided.
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Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
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UiPath integration with generative AI
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Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
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Your One-Stop Shop for Python Success: Top 10 US Python Development Providers
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In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
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For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/building-and-scaling-ai-applications-with-the-nx-ai-manager-a-presentation-from-network-optix/
Robin van Emden, Senior Director of Data Science at Network Optix, presents the “Building and Scaling AI Applications with the Nx AI Manager,” tutorial at the May 2024 Embedded Vision Summit.
In this presentation, van Emden covers the basics of scaling edge AI solutions using the Nx tool kit. He emphasizes the process of developing AI models and deploying them globally. He also showcases the conversion of AI models and the creation of effective edge AI pipelines, with a focus on pre-processing, model conversion, selecting the appropriate inference engine for the target hardware and post-processing.
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HCL Notes and Domino License Cost Reduction in the World of DLAU
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-and-domino-license-cost-reduction-in-the-world-of-dlau/
The introduction of DLAU and the CCB & CCX licensing model caused quite a stir in the HCL community. As a Notes and Domino customer, you may have faced challenges with unexpected user counts and license costs. You probably have questions on how this new licensing approach works and how to benefit from it. Most importantly, you likely have budget constraints and want to save money where possible. Don’t worry, we can help with all of this!
We’ll show you how to fix common misconfigurations that cause higher-than-expected user counts, and how to identify accounts which you can deactivate to save money. There are also frequent patterns that can cause unnecessary cost, like using a person document instead of a mail-in for shared mailboxes. We’ll provide examples and solutions for those as well. And naturally we’ll explain the new licensing model.
Join HCL Ambassador Marc Thomas in this webinar with a special guest appearance from Franz Walder. It will give you the tools and know-how to stay on top of what is going on with Domino licensing. You will be able lower your cost through an optimized configuration and keep it low going forward.
These topics will be covered
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* Step-by-step implementation guide
* Live demos with code snippets
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Climate Impact of Software Testing at Nordic Testing Days
My slides at Nordic Testing Days 6.6.2024
Climate impact / sustainability of software testing discussed on the talk. ICT and testing must carry their part of global responsibility to help with the climat warming. We can minimize the carbon footprint but we can also have a carbon handprint, a positive impact on the climate. Quality characteristics can be added with sustainability, and then measured continuously. Test environments can be used less, and in smaller scale and on demand. Test techniques can be used in optimizing or minimizing number of tests. Test automation can be used to speed up testing.
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Prompting language models is hard, while programming language models is easy. In this talk, I will discuss the state-of-the-art framework DSPy for programming foundation models with its powerful optimizers and runtime constraint system.
CAKE: Sharing Slices of Confidential Data on Blockchain
Presented at the CAiSE 2024 Forum, Intelligent Information Systems, June 6th, Limassol, Cyprus.
Synopsis: Cooperative information systems typically involve various entities in a collaborative process within a distributed environment. Blockchain technology offers a mechanism for automating such processes, even when only partial trust exists among participants. The data stored on the blockchain is replicated across all nodes in the network, ensuring accessibility to all participants. While this aspect facilitates traceability, integrity, and persistence, it poses challenges for adopting public blockchains in enterprise settings due to confidentiality issues. In this paper, we present a software tool named Control Access via Key Encryption (CAKE), designed to ensure data confidentiality in scenarios involving public blockchains. After outlining its core components and functionalities, we showcase the application of CAKE in the context of a real-world cyber-security project within the logistics domain.
Paper: https://doi.org/10.1007/978-3-031-61000-4_16
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June Patch Tuesday
Ivanti’s Patch Tuesday breakdown goes beyond patching your applications and brings you the intelligence and guidance needed to prioritize where to focus your attention first. Catch early analysis on our Ivanti blog, then join industry expert Chris Goettl for the Patch Tuesday Webinar Event. There we’ll do a deep dive into each of the bulletins and give guidance on the risks associated with the newly-identified vulnerabilities.
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slack
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TrustArc Webinar - 2024 Global Privacy Survey
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In the fifth annual Global Privacy Benchmarks Survey, we asked over 1,800 global privacy professionals and business executives to share their perspectives on the current state of privacy inside and outside of their organizations. This year’s report focused on emerging areas of importance for privacy and compliance professionals, including considerations and implications of Artificial Intelligence (AI) technologies, building brand trust, and different approaches for achieving higher privacy competence scores.
See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
This webinar will review:
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みなさんこんにちはこれ何文字まで入るの？40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの？えこ...
ここ3000字までしか入らないけどタイトルの方がたくさん文字入ると思います。
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みなさんこんにちはこれ何文字まで入るの？40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの？えこ...
みなさんこんにちはこれ何文字まで入るの？40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの？えこ...
Greenhouse gas emissions calculations with AMEE
- 1. Greenhouse gas emissions calculations with AMEE Dr Andrew Berkeley, Scientific Officer Dr Rebecca Smith, Scientific Officer
- 2. Example: Combustion of diesel fuel 10 litres diesel -> 26.391 kg CO 2 20 litres diesel -> 52.782 kg CO 2 Diesel ‘emissions factor’: 2.6391 kg per litre Emissions kg = Quantity litres x Emission factor kg per litre How are emissions calculated?
- 3. Activity quantities : representing some level of activity or ‘consumption’ e.g. fuel/electricity consumption, car mileage, industrial production * vary between each specific scenario Activity properties : universal information about activity e.g. fuel properties, vehicle fuel efficiency, chemical process data * do NOT vary between each specific scenario Emissions calculation components Activity quantities Activity properties Emissions calculation
- 4. AMEE AMEE aims to aggregate all of the data and calculation methodologies on the planet AMEE provides a platform for organising and storing activity data, and combining this data with the most appropriate methodologies for calculating their associated greenhouse gas emissions
- 5. How does AMEE work?
- 6. AMEE ‘categories’ Principal organisational unit in AMEE Represent collections of data around a common theme , e.g. ‘fuel combustion’, ‘electricity generation’,’transportation’,’waste’ Represent a single method of making emissions calculations Contain ‘data items’
- 7. AMEE ‘data items’ Basic unit of emissions data in AMEE Represents a specific instance of the category theme category: ‘fuel’ -> data items: ‘coal’, ‘diesel’, ‘gas’, ‘wood’ category: ‘car’ -> data items: ‘BMW 3 Series’,‘Ford Focus’, etc. Each data item contains specific data values required to represent the associated energy and emissions dynamics
- 8. An example
- 9. AMEE provides all necessary data and algorithms Category: /business/energy/electricity Calculation
- 10. Data item: country=Canada AMEE provides all necessary data and algorithms Category: /business/energy/electricity Calculation CO 2 emissions kg per kWh CH 4 emissions kg per kWh N 2 O emissions kg per kWh
- 11. Data item: country=Canada AMEE provides all necessary data and algorithms Category: /business/energy/electricity Calculation CO 2 emissions kg per kWh CH 4 emissions kg per kWh N 2 O emissions kg per kWh AMEE user provides activity data and receives emissions calculation Quantity of electricity consumed. e.g. 200 kWh
- 12. Data item: country=Canada AMEE provides all necessary data and algorithms Category: /business/energy/electricity Calculation CO 2 emissions kg per kWh CH 4 emissions kg per kWh N 2 O emissions kg per kWh AMEE user provides activity data and receives emissions calculation Quantity of electricity consumed. e.g. 200 kWh Emissions (kg)
- 14. US EPA
- 15. US EIA
- 16. DEFRA-DECC
- 17. WRI GHG Protocol
- 24. AMEE Explorer http://explorer.amee.com AMEE sign up http://my.amee.com