Portable Emissions Measurement Systems (PEMS) provide direct real-time data on the emissions of an in-use vehicle under a wide range of real-world operating conditions. In recent years PEMS technology has undergone a very rapid evolution and data gathering activities are now widespread, especially in the US and Asia. But, by comparison, methods used to analyze PEMS data have received relatively little refinement over the same period. The reason for this is in part legislative, but it also reflects an issue that is much more fundamental and commonplace – if datasets are large and noisy, someone has to put a lot of work in if you want to get good information out.
Current PEMS data analysis is perhaps most easily considered in terms of its two extremes, total journey and raw data analysis, as most current practices fall into one of these two categories. Here, we considered these and an alternative ‘middle ground’ approach, micro trip analysis. We also look at different micro-trips sampling strategies and some automation procedures for the routine use of such methods on a much wider range of research questions.
www.its.leeds.ac.uk/people/k.ropkins
Volvo EC55B Compact Excavator Service Repair Manualfujdfjjskrtekme
This is the Highly Detailed factory service repair manual for theVOLVO EC55B COMPACT EXCAVATOR, this Service Manual has detailed illustrations as well as step by step instructions,It is 100 percents complete and intact. they are specifically written for the do-it-yourself-er as well as the experienced mechanic.VOLVO EC55B COMPACT EXCAVATOR Service Repair Workshop Manual provides step-by-step instructions based on the complete dis-assembly of the machine. It is this level of detail, along with hundreds of photos and illustrations, that guide the reader through each service and repair procedure. Complete download comes in pdf format which can work under all PC based windows operating system and Mac also, All pages are printable. Using this repair manual is an inexpensive way to keep your vehicle working properly.
Service Repair Manual Covers:
Safety
General
Standard Parts, Service
Engine with Mounting and Equipment
Elec. System, Warning System, Information System, Instruments
Power Transmission
Frame and Crawler Unit
Machinery House, Cab, Exterior Trim Parts Anywhere
Hydraulic System, Digging, Handling, Grading Equipment, Misc Equipment
Hydraulic and Electrical Schematics
File Format: PDF
Compatible: All Versions of Windows & Mac
Language: English
Requirements: Adobe PDF Reader
NO waiting, Buy from responsible seller and get INSTANT DOWNLOAD, Without wasting your hard-owned money on uncertainty or surprise! All pages are is great to haveVOLVO EC55B COMPACT EXCAVATOR Service Repair Workshop Manual.
Looking for some other Service Repair Manual,please check:
https://www.aservicemanualpdf.com/
Thanks for visiting!
Kieran Laxen - Assessing the impacts of short-term power generation - DMUG17IES / IAQM
An unapologetically technical conference, DMUG remains the key annual event for experts in this field. Unmissable speakers will be examining topical issues in emissions, exposure and dispersion modelling.
Effects of Errors on Vehicle Emission Rates from Portable Emissions Measure...Gurdas Sandhu
See journal paper at http://dx.doi.org/10.3141/2340-02
Portable emissions measurement systems (PEMS) are useful for quantification of real-world vehicle activity, energy use, and emissions. However, there is no standard methodology for processing PEMS data; this can lead to errors in reported results. PEMS typically include tail-pipe exhaust gas and particle analyzers, Global Positioning System (GPS) receivers, engine sensors, and electronic control unit (ECU) data loggers. The sensitivity of estimated emission rates to random errors in measurements is quantified. Methods are evaluated for identification and correction of improper synchronization of PEMS, ECU, and GPS data streams and for road grade estimation. Estimated fuel use and emission rates for light- and heavy-duty vehicles are sensitive to errors in intake manifold absolute pressure and engine revolutions per minute values and in indicators of air-to-fuel ratio including carbon dioxide and oxygen concentrations. Synchronization can be aided by maximizing the Pearson correlation coefficient between two indicator variables and confirming the result by matching concurrent increases in indicator variables. The effect of improper synchronization on estimated modal emission rates is quantified. Modal average emission rates based on vehicle-specific power (VSP) are more sensitive to improperly synchronized engine versus GPS data. Improperly synchronized data streams result in decreased variability between the lowest and highest modal average emission rates. Estimation of road grade from a linear least squares slope of elevation over a specified distance is demonstrated. VSP-based modal fuel use and pollutant emission rates are less sensitive to differences in road grade than to errors in synchronization.
Volvo EC55B Compact Excavator Service Repair Manualfujdfjjskrtekme
This is the Highly Detailed factory service repair manual for theVOLVO EC55B COMPACT EXCAVATOR, this Service Manual has detailed illustrations as well as step by step instructions,It is 100 percents complete and intact. they are specifically written for the do-it-yourself-er as well as the experienced mechanic.VOLVO EC55B COMPACT EXCAVATOR Service Repair Workshop Manual provides step-by-step instructions based on the complete dis-assembly of the machine. It is this level of detail, along with hundreds of photos and illustrations, that guide the reader through each service and repair procedure. Complete download comes in pdf format which can work under all PC based windows operating system and Mac also, All pages are printable. Using this repair manual is an inexpensive way to keep your vehicle working properly.
Service Repair Manual Covers:
Safety
General
Standard Parts, Service
Engine with Mounting and Equipment
Elec. System, Warning System, Information System, Instruments
Power Transmission
Frame and Crawler Unit
Machinery House, Cab, Exterior Trim Parts Anywhere
Hydraulic System, Digging, Handling, Grading Equipment, Misc Equipment
Hydraulic and Electrical Schematics
File Format: PDF
Compatible: All Versions of Windows & Mac
Language: English
Requirements: Adobe PDF Reader
NO waiting, Buy from responsible seller and get INSTANT DOWNLOAD, Without wasting your hard-owned money on uncertainty or surprise! All pages are is great to haveVOLVO EC55B COMPACT EXCAVATOR Service Repair Workshop Manual.
Looking for some other Service Repair Manual,please check:
https://www.aservicemanualpdf.com/
Thanks for visiting!
Kieran Laxen - Assessing the impacts of short-term power generation - DMUG17IES / IAQM
An unapologetically technical conference, DMUG remains the key annual event for experts in this field. Unmissable speakers will be examining topical issues in emissions, exposure and dispersion modelling.
Effects of Errors on Vehicle Emission Rates from Portable Emissions Measure...Gurdas Sandhu
See journal paper at http://dx.doi.org/10.3141/2340-02
Portable emissions measurement systems (PEMS) are useful for quantification of real-world vehicle activity, energy use, and emissions. However, there is no standard methodology for processing PEMS data; this can lead to errors in reported results. PEMS typically include tail-pipe exhaust gas and particle analyzers, Global Positioning System (GPS) receivers, engine sensors, and electronic control unit (ECU) data loggers. The sensitivity of estimated emission rates to random errors in measurements is quantified. Methods are evaluated for identification and correction of improper synchronization of PEMS, ECU, and GPS data streams and for road grade estimation. Estimated fuel use and emission rates for light- and heavy-duty vehicles are sensitive to errors in intake manifold absolute pressure and engine revolutions per minute values and in indicators of air-to-fuel ratio including carbon dioxide and oxygen concentrations. Synchronization can be aided by maximizing the Pearson correlation coefficient between two indicator variables and confirming the result by matching concurrent increases in indicator variables. The effect of improper synchronization on estimated modal emission rates is quantified. Modal average emission rates based on vehicle-specific power (VSP) are more sensitive to improperly synchronized engine versus GPS data. Improperly synchronized data streams result in decreased variability between the lowest and highest modal average emission rates. Estimation of road grade from a linear least squares slope of elevation over a specified distance is demonstrated. VSP-based modal fuel use and pollutant emission rates are less sensitive to differences in road grade than to errors in synchronization.
Roger Barrowcliff - Chairman's introduction to vehicle section - DMUG17IES / IAQM
An unapologetically technical conference, DMUG remains the key annual event for experts in this field. Unmissable speakers will be examining topical issues in emissions, exposure and dispersion modelling.
Route optimization for collection of municipal solid waste in Katpadi, VelloreHarshit Shahi
The project aims to reduce the total distance travelled by the fleet of vehicles for collection of municipal solid waste by planning new collection routes using Vehicle Routing Problem Solver (part of Network Analyst extension) in ArcGIS.
Real-World Activity and Fuel Use of Diesel and CNG Refuse TrucksGurdas Sandhu
See journal paper at http://dx.doi.org/10.1016/j.atmosenv.2014.04.036
According to a 2006 report, the waste collection industry in the U.S. operates over 136,000 refuse trucks, almost all diesels, that average 25,000 miles annually and with average fuel economy of less than 3 miles per gallon. There is an increasing adoption of Compressed Natural Gas (CNG) fuelled trucks in the waste collection industry due to the significantly lower cost of CNG per diesel gallon equivalent (dge). This presentation includes results of activity and fuel use from in-use real-world field measurements of eighteen diesel fuelled refuse trucks, with six each of side-load, front-load, and roll-off configurations and six CNG fuelled refuse trucks, with three each of side-load and front-load configurations. The study design included trucks from various manufacturers such as Mack, Autocar, and Freightliner and model years 2003 to 2012. Each truck was instrumented for one day of operation with a portable activity measurement system (PAMS) to log Engine Control Unit (ECU) data and Global Positioning System (GPS) receivers. Trucks were also instrumented with portable emissions measurement system (PEMS), however, emissions results are not included here.
The total quality assured data covers over 2,000 miles and 190 hours of in-use real-world driving. During the measurement period the trucks picked about 7,500 cans with a total of over 500 tons of trash. Measured 1 Hz activity data includes, but is not limited to, vehicle speed, engine speed, intake manifold pressure, intake air temperature, engine load, and elevation (leading to road grade). Duty cycles and fuel use rates are quantified in terms of operating mode bins defined by the U.S. Environmental Protection Agency for the MOVES emission factor model. Overall results are included here; detailed results by truck configuration and fuel type will be covered in the presentation. On average, 50 percent of time was spent at idle, 5 percent braking or decelerating, 28 percent at low speed (up to 25 mph), 12 percent at moderate speed (25 to 50 mph), and 5 percent at high speed (50 mph or higher). Diesel trucks spend more time in high speed mode compared to CNG. Estimated cycle average diesel fuel economy ranges were 2.0 to 3.4 mpg, 2.3 to 3.2 mpg, 3.9 to 6.0 mpg, and for side-loaders, front-loaders, and roll-offs, respectively. In comparison, CNG fuel economy ranges were 1.2 to 1.7 mpdge and 2.0 to 2.5 mpdge for side-loaders and front-loaders, respectively.
Presentation on Spot Speed Study Analysis for the course CE 454nazifa tabassum
This presentation describes the process of Spot Speed Study Analysis, how it can be performed and how the findings from such studies can help to improve road design in urban areas.
Roger Barrowcliff - Chairman's introduction to vehicle section - DMUG17IES / IAQM
An unapologetically technical conference, DMUG remains the key annual event for experts in this field. Unmissable speakers will be examining topical issues in emissions, exposure and dispersion modelling.
Route optimization for collection of municipal solid waste in Katpadi, VelloreHarshit Shahi
The project aims to reduce the total distance travelled by the fleet of vehicles for collection of municipal solid waste by planning new collection routes using Vehicle Routing Problem Solver (part of Network Analyst extension) in ArcGIS.
Real-World Activity and Fuel Use of Diesel and CNG Refuse TrucksGurdas Sandhu
See journal paper at http://dx.doi.org/10.1016/j.atmosenv.2014.04.036
According to a 2006 report, the waste collection industry in the U.S. operates over 136,000 refuse trucks, almost all diesels, that average 25,000 miles annually and with average fuel economy of less than 3 miles per gallon. There is an increasing adoption of Compressed Natural Gas (CNG) fuelled trucks in the waste collection industry due to the significantly lower cost of CNG per diesel gallon equivalent (dge). This presentation includes results of activity and fuel use from in-use real-world field measurements of eighteen diesel fuelled refuse trucks, with six each of side-load, front-load, and roll-off configurations and six CNG fuelled refuse trucks, with three each of side-load and front-load configurations. The study design included trucks from various manufacturers such as Mack, Autocar, and Freightliner and model years 2003 to 2012. Each truck was instrumented for one day of operation with a portable activity measurement system (PAMS) to log Engine Control Unit (ECU) data and Global Positioning System (GPS) receivers. Trucks were also instrumented with portable emissions measurement system (PEMS), however, emissions results are not included here.
The total quality assured data covers over 2,000 miles and 190 hours of in-use real-world driving. During the measurement period the trucks picked about 7,500 cans with a total of over 500 tons of trash. Measured 1 Hz activity data includes, but is not limited to, vehicle speed, engine speed, intake manifold pressure, intake air temperature, engine load, and elevation (leading to road grade). Duty cycles and fuel use rates are quantified in terms of operating mode bins defined by the U.S. Environmental Protection Agency for the MOVES emission factor model. Overall results are included here; detailed results by truck configuration and fuel type will be covered in the presentation. On average, 50 percent of time was spent at idle, 5 percent braking or decelerating, 28 percent at low speed (up to 25 mph), 12 percent at moderate speed (25 to 50 mph), and 5 percent at high speed (50 mph or higher). Diesel trucks spend more time in high speed mode compared to CNG. Estimated cycle average diesel fuel economy ranges were 2.0 to 3.4 mpg, 2.3 to 3.2 mpg, 3.9 to 6.0 mpg, and for side-loaders, front-loaders, and roll-offs, respectively. In comparison, CNG fuel economy ranges were 1.2 to 1.7 mpdge and 2.0 to 2.5 mpdge for side-loaders and front-loaders, respectively.
Presentation on Spot Speed Study Analysis for the course CE 454nazifa tabassum
This presentation describes the process of Spot Speed Study Analysis, how it can be performed and how the findings from such studies can help to improve road design in urban areas.
www.nhtnetwork.org/cqc-efficiency-network/home
The CQC Efficiency Network is a collaborative venture between ITS researcher Dr Phill Wheat and leading
performance and benchmarking company measure2improve (m2wi). Dr Wheat has used funding from the EPSRC
Impact Acceleration Account (IAA) to refine the tools to support m2i in developing the fast growing network. The IAA is an institutional award funded by EPSRC to help speed up the contribution that engineering and physical science research make towards new innovation, successful businesses and
the economic returns that benefit UK plc.
Posters summarizing dissertation research projects - presented by MSc students at the Institute for Transport Studies (ITS), University of Leeds, April 2017. http://bit.ly/2re35Cs
www.its.leeds.ac.uk/courses/masters/dissertation
Cutting-edge transport research showcased to Secretary of State during the event to officially re- open the Institute building www.leeds.ac.uk/news/article/4011/cutting-edge_transport_research_showcased_to_secretary_of_state
DR STEPHEN HALL, PROFESSOR SIMON SHEPHERD, DR ZIA WADUD; UNIVERSITY OF LEEDS, IN COLLABORATION WITH FUTURE CITIES CATAPULT
Also see https://theconversation.com/five-reasons-why-you-might-be-driving-electric-sooner-than-you-think-71896
Presentation Fiona Crawford - winner of the Smeed prize for best student paper at the UTSG Conference 2017
www.its.leeds.ac.uk/people/f.crawford
www.utsg.net/web/index.php?page=annual-conference
Efforts to reduce the emissions from car travel have so far been hampered by a lack of specific information on car ownership and use. The Motoring and vehicle Ownership Trends in the UK (MOT) project seeks to address this by bringing together new sources of data to give a spatially and disaggregated diagnosis of car ownership and use in Great Britain and the associated energy demand and emissions.
Data from annual car M.O.T tests, made available by the Department for Transport, will be used as a platform upon which to develop and undertake a set of inter-linked modelling and analysis tasks using multiple sources of vehicle-specific and area-based data. Through this the project will develop the capability to understand spatial and temporal differences in car ownership and use, the determinants of those differences, and how levels may change over time and in response to various policy measures. The relationship between fuel use and emissions, and the demographic, economic, infrastructural and socio-cultural factors influencing these will also be tested.
Consequently, the MOT project has the potential to transform the way in which energy and emissions related to car use are quantified, understood and monitored to help refine future research and policy agendas and to inform transport and energy infrastructure planning.
www.its.leeds.ac.uk/research/featured-projects/mot
The University's Annual Review covering the 2015-16 academic year. This new publication gives an overview of some of the most important initiatives and activities that the University has undertaken recently and a sense of the scale of the ambition for the future.
www.its.leeds.ac.uk/people/c.calastri
Social networks, i.e. the circles of people we are socially connected to, have been recognised to play a role in shaping our travel and activity behaviour. This not only has to do with socialisation being the purpose of travel, but also with enabling mobility and other activities through the so-called social capital. Another theme in the literature connecting social environment and travel behaviour is social influence, i.e. the investigation of how travel behaviour can be affected by observation or comparison with other people. Research about the impact of social influence on travel choices is still at its infancy. In this talk, I will give an overview of how choice modelling can be used to investigate the relationships between social networks, travel and activities. I will touch upon work that I have done so far, in particular I will describe my applications of the Multiple Discrete-Continuous Extreme Value (MDCEV) model to frequency of social interactions as well as to allocation of time to different activities, taking the social dimension into account. In these studies, I make use of social network and travel data collected in places as diverse as Switzerland and Chile. I will also discuss ongoing work making use of longitudinal life-course data to model the impact of family of origin and the “mobility environment” people grew up in on travel decision of adults. Finally, I will outline future plans about modelling behavioural changes due to social influence using the smartphone app travel data that are being collected in Leeds within the “Choices and consumption: modelling long and short term decisions in a changing world” (“DECISIONS”) project.
Shigeki Oxawa is Associate Professor at the Department of Integrated Informatics, Daido University and part-time Lecturer in Transport Economics at Hosei University. He is a transport economist with a strong interest in transport policy. He is currently an academic visitor at Leeds University (April 2016-March 2017) working in the area of intermodal transport (with a focus on rail freight transport) and in turn track access charges.
Abstract: In the national railway revolution in Japan, the passenger division was divided into 6 companies by regions. They operate trains and own/manage the rail track (vertical integration system). On the other hand, vertical separation was introduced into freight companies, therefore, freight companies have to access rail track owned/managed by passenger companies. The Japanese regulator regards track access transactions between passenger companies and freight companies as private business.
In the vertical separation system, freight companies cannot get access to the slots required and efficient allocation of rail track cannot be achieved. The vertical separation is a very significant issue in railway policy and freight transport policy in Japan. In the presentation, causes and possible solutions to the issue will be shown.
Shigeki is Associate Professor at the Department of Integrated Informatics, Daido University and part-time Lecturer in Transport Economics at Hosei University. He is a transport economist with a strong interest in transport policy. He is currently an academic visitor at Leeds University (April 2016-March 2017) working in the area of intermodal transport (with a focus on rail freight transport) and in turn track access charges. He has 20 years of experience in research and teaching.
Presentation from NORTHMOST - a new biannual series of meetings on the topic of mathematical modelling in transport.
Hosted at its.leeds.ac.uk, NORTHMOST 01 focussed on academic research, to encourage networking and collaboration between academics interested in the methodological development of mathematical modelling applied to transport.
The focus of the meetings will alternate; NORTHMOST 02 - planned for Spring 2017 - will be led by practitioners who are modelling experts. Practitioners will give presentations, with academic researchers in the audience. In addition to giving a forum for expert practitioners to meet and share best practice, a key aim of the series is to close the gap between research and practice, establishing a feedback loop to communicate the needs of practitioners to those working in university research.
Presentation from NORTHMOST - a new biannual series of meetings on the topic of mathematical modelling in transport.
Hosted at its.leeds.ac.uk, NORTHMOST 01 focussed on academic research, to encourage networking and collaboration between academics interested in the methodological development of mathematical modelling applied to transport.
The focus of the meetings will alternate; NORTHMOST 02 - planned for Spring 2017 - will be led by practitioners who are modelling experts. Practitioners will give presentations, with academic researchers in the audience. In addition to giving a forum for expert practitioners to meet and share best practice, a key aim of the series is to close the gap between research and practice, establishing a feedback loop to communicate the needs of practitioners to those working in university research.
Presentation from NORTHMOST - a new biannual series of meetings on the topic of mathematical modelling in transport.
Hosted at its.leeds.ac.uk, NORTHMOST 01 focussed on academic research, to encourage networking and collaboration between academics interested in the methodological development of mathematical modelling applied to transport.
The focus of the meetings will alternate; NORTHMOST 02 - planned for Spring 2017 - will be led by practitioners who are modelling experts. Practitioners will give presentations, with academic researchers in the audience. In addition to giving a forum for expert practitioners to meet and share best practice, a key aim of the series is to close the gap between research and practice, establishing a feedback loop to communicate the needs of practitioners to those working in university research.
Presentation from NORTHMOST - a new biannual series of meetings on the topic of mathematical modelling in transport.
Hosted at its.leeds.ac.uk, NORTHMOST 01 focussed on academic research, to encourage networking and collaboration between academics interested in the methodological development of mathematical modelling applied to transport.
The focus of the meetings will alternate; NORTHMOST 02 - planned for Spring 2017 - will be led by practitioners who are modelling experts. Practitioners will give presentations, with academic researchers in the audience. In addition to giving a forum for expert practitioners to meet and share best practice, a key aim of the series is to close the gap between research and practice, establishing a feedback loop to communicate the needs of practitioners to those working in university research.
Presentation from NORTHMOST - a new biannual series of meetings on the topic of mathematical modelling in transport.
Hosted at its.leeds.ac.uk, NORTHMOST 01 focussed on academic research, to encourage networking and collaboration between academics interested in the methodological development of mathematical modelling applied to transport.
The focus of the meetings will alternate; NORTHMOST 02 - planned for Spring 2017 - will be led by practitioners who are modelling experts. Practitioners will give presentations, with academic researchers in the audience. In addition to giving a forum for expert practitioners to meet and share best practice, a key aim of the series is to close the gap between research and practice, establishing a feedback loop to communicate the needs of practitioners to those working in university research.
Presentation from NORTHMOST - a new biannual series of meetings on the topic of mathematical modelling in transport.
Hosted at its.leeds.ac.uk, NORTHMOST 01 focussed on academic research, to encourage networking and collaboration between academics interested in the methodological development of mathematical modelling applied to transport.
The focus of the meetings will alternate; NORTHMOST 02 - planned for Spring 2017 - will be led by practitioners who are modelling experts. Practitioners will give presentations, with academic researchers in the audience. In addition to giving a forum for expert practitioners to meet and share best practice, a key aim of the series is to close the gap between research and practice, establishing a feedback loop to communicate the needs of practitioners to those working in university research.
More from Institute for Transport Studies (ITS) (20)
Read| The latest issue of The Challenger is here! We are thrilled to announce that our school paper has qualified for the NATIONAL SCHOOLS PRESS CONFERENCE (NSPC) 2024. Thank you for your unwavering support and trust. Dive into the stories that made us stand out!
June 3, 2024 Anti-Semitism Letter Sent to MIT President Kornbluth and MIT Cor...Levi Shapiro
Letter from the Congress of the United States regarding Anti-Semitism sent June 3rd to MIT President Sally Kornbluth, MIT Corp Chair, Mark Gorenberg
Dear Dr. Kornbluth and Mr. Gorenberg,
The US House of Representatives is deeply concerned by ongoing and pervasive acts of antisemitic
harassment and intimidation at the Massachusetts Institute of Technology (MIT). Failing to act decisively to ensure a safe learning environment for all students would be a grave dereliction of your responsibilities as President of MIT and Chair of the MIT Corporation.
This Congress will not stand idly by and allow an environment hostile to Jewish students to persist. The House believes that your institution is in violation of Title VI of the Civil Rights Act, and the inability or
unwillingness to rectify this violation through action requires accountability.
Postsecondary education is a unique opportunity for students to learn and have their ideas and beliefs challenged. However, universities receiving hundreds of millions of federal funds annually have denied
students that opportunity and have been hijacked to become venues for the promotion of terrorism, antisemitic harassment and intimidation, unlawful encampments, and in some cases, assaults and riots.
The House of Representatives will not countenance the use of federal funds to indoctrinate students into hateful, antisemitic, anti-American supporters of terrorism. Investigations into campus antisemitism by the Committee on Education and the Workforce and the Committee on Ways and Means have been expanded into a Congress-wide probe across all relevant jurisdictions to address this national crisis. The undersigned Committees will conduct oversight into the use of federal funds at MIT and its learning environment under authorities granted to each Committee.
• The Committee on Education and the Workforce has been investigating your institution since December 7, 2023. The Committee has broad jurisdiction over postsecondary education, including its compliance with Title VI of the Civil Rights Act, campus safety concerns over disruptions to the learning environment, and the awarding of federal student aid under the Higher Education Act.
• The Committee on Oversight and Accountability is investigating the sources of funding and other support flowing to groups espousing pro-Hamas propaganda and engaged in antisemitic harassment and intimidation of students. The Committee on Oversight and Accountability is the principal oversight committee of the US House of Representatives and has broad authority to investigate “any matter” at “any time” under House Rule X.
• The Committee on Ways and Means has been investigating several universities since November 15, 2023, when the Committee held a hearing entitled From Ivory Towers to Dark Corners: Investigating the Nexus Between Antisemitism, Tax-Exempt Universities, and Terror Financing. The Committee followed the hearing with letters to those institutions on January 10, 202
A Strategic Approach: GenAI in EducationPeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
Palestine last event orientationfvgnh .pptxRaedMohamed3
An EFL lesson about the current events in Palestine. It is intended to be for intermediate students who wish to increase their listening skills through a short lesson in power point.
Macroeconomics- Movie Location
This will be used as part of your Personal Professional Portfolio once graded.
Objective:
Prepare a presentation or a paper using research, basic comparative analysis, data organization and application of economic information. You will make an informed assessment of an economic climate outside of the United States to accomplish an entertainment industry objective.
The French Revolution, which began in 1789, was a period of radical social and political upheaval in France. It marked the decline of absolute monarchies, the rise of secular and democratic republics, and the eventual rise of Napoleon Bonaparte. This revolutionary period is crucial in understanding the transition from feudalism to modernity in Europe.
For more information, visit-www.vavaclasses.com
Embracing GenAI - A Strategic ImperativePeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
Instructions for Submissions thorugh G- Classroom.pptxJheel Barad
This presentation provides a briefing on how to upload submissions and documents in Google Classroom. It was prepared as part of an orientation for new Sainik School in-service teacher trainees. As a training officer, my goal is to ensure that you are comfortable and proficient with this essential tool for managing assignments and fostering student engagement.
Honest Reviews of Tim Han LMA Course Program.pptxtimhan337
Personal development courses are widely available today, with each one promising life-changing outcomes. Tim Han’s Life Mastery Achievers (LMA) Course has drawn a lot of interest. In addition to offering my frank assessment of Success Insider’s LMA Course, this piece examines the course’s effects via a variety of Tim Han LMA course reviews and Success Insider comments.
Biological screening of herbal drugs: Introduction and Need for
Phyto-Pharmacological Screening, New Strategies for evaluating
Natural Products, In vitro evaluation techniques for Antioxidants, Antimicrobial and Anticancer drugs. In vivo evaluation techniques
for Anti-inflammatory, Antiulcer, Anticancer, Wound healing, Antidiabetic, Hepatoprotective, Cardio protective, Diuretics and
Antifertility, Toxicity studies as per OECD guidelines
Welcome to TechSoup New Member Orientation and Q&A (May 2024).pdfTechSoup
In this webinar you will learn how your organization can access TechSoup's wide variety of product discount and donation programs. From hardware to software, we'll give you a tour of the tools available to help your nonprofit with productivity, collaboration, financial management, donor tracking, security, and more.
2024.06.01 Introducing a competency framework for languag learning materials ...Sandy Millin
http://sandymillin.wordpress.com/iateflwebinar2024
Published classroom materials form the basis of syllabuses, drive teacher professional development, and have a potentially huge influence on learners, teachers and education systems. All teachers also create their own materials, whether a few sentences on a blackboard, a highly-structured fully-realised online course, or anything in between. Despite this, the knowledge and skills needed to create effective language learning materials are rarely part of teacher training, and are mostly learnt by trial and error.
Knowledge and skills frameworks, generally called competency frameworks, for ELT teachers, trainers and managers have existed for a few years now. However, until I created one for my MA dissertation, there wasn’t one drawing together what we need to know and do to be able to effectively produce language learning materials.
This webinar will introduce you to my framework, highlighting the key competencies I identified from my research. It will also show how anybody involved in language teaching (any language, not just English!), teacher training, managing schools or developing language learning materials can benefit from using the framework.
2024.06.01 Introducing a competency framework for languag learning materials ...
Vehicle emissions measurement: micro-trip analysis of non-stationary time-series
1. MICRO-TRIP ANALYSIS OF
NON-STATIONARY TIME-SERIES
Karl Ropkins
Institute for Transport Studies, University of Leeds, Leeds, LS2 9JT, UK
Contact k.ropkins@its.leeds.ac.uk
2014 ITS Seminar Series
ITS, University of Leeds, June 18th 2014
5. Non-stationary Time-series
• The data sets discussed are from portable emission
measurement systems (PEMS)
• These are one example of a non-stationary time-series
• Others include:
• Portable activity measurement systems (PAMS)
• (Increasing number of large vehicle fleets)
• Aircraft Infrastructure Management System (AIMS)
• Animal tracking
• Personal GPS and mobile phone movement
6. PEMS ISA Study
One Study for one Vehicle Management system:
• Two vehicles, two fuels types
• One Intelligent Speed Adaptation (ISA) system,
three operating modes (OFF, ADV, VOL)
• Three routes - but not all vehicles on all routes
• One PEMS - but additional logging
7. In terms of data size:
• An individual journal generates 1,000 to 50,000 records
• A study generates 10,000s to 1,000,000s records
(PEMS ISA example: 1, 080,000 records)
• PEMS data archives like those of the EPA, CARB, etc,
include data from 100s of studies and real-world
certification exercises
8. Total Journey Analysis
Comparison of measurements (summed or standardized) on a ‘per
journey basis’
Approach is analogous to conventional vehicle/engine certification
testing
… BUT in the real-world it is crude approach
For all routes in the PEMS ISA study, e.g.:
• We do not see anything significant in total journey data
• BUT that is not really that surprising
• There is HIGH run-to-run variation
• The impact of ISA is expected to be SMALL
9. Raw Data Analysis and Modeling
Analyzing the data at the resolution it was logged at
Approach has the potential to be more informative but analysis is
more labour-intensive
…and more often you are trading uncertainty
for the perception of certainty
10. Raw Data Analysis and Modeling
Data modeling [Analyte]i = te(speedi-n, acceli-n) + … +
te(speedi-m, acceli-m)
11. Raw Data Analysis and Modeling
Data modeling [Analyte]i = te(speedi-n, acceli-n) + … +
te(speedi-m, acceli-m)
Results
ISA Mode Comparison
OFF vs. ADV OFF vs. VOL ADV vs. VOL
OFF ADV VOL difference % p difference % p difference % p
Diesel Mondeo CO2 (g.km
-1
) 258.19 266.57 260.65 8.38 3.04 0.52 2.46 0.93 0.63 5.92 -1.89 0.63
All Routes CO (g.km
-1
) 0.12 0.12 0.12 0.01 4.00 0.61 0.001 1.41 0.49 0.004 -2.34 0.82
HC (g.km-1
) 0.27 0.28 0.27 0.01 3.15 0.70 0.001 0.31 0.59 0.01 -2.61 0.82
NOx (g.km-1
) 0.74 0.77 0.75 0.03 3.40 0.46 0.01 1.05 0.60 0.02 -2.11 0.64
Fuel economy
(km.litres
-1
)
7.75 7.68 7.73 -0.07 -0.14 0.52 -0.02 -0.63 0.54 -0.06 0.84 0.56
Petrol Mondeo CO2 (g.km
-1
) 370.07 388.75 373.98 18.7 4.36 0.66 3.91 0.77 0.57 14.8 -3.15 0.69
All Routes CO (g.km
-1
) 1.38 1.51 1.41 0.13 7.65 0.55 0.03 1.47 0.39 0.10 -5.17 0.71
HC (g.km
-1
) 0.68 0.72 0.69 0.04 4.42 0.65 0.01 0.72 0.43 0.03 -3.25 0.71
NOx (g.km
-1
) 0.25 0.25 0.25 0.01 1.98 0.57 -0.0003 -0.37 0.60 0.01 -2.16 0.64
Fuel economy
(km.litres-1
)
6.41 6.27 6.38 -0.14 -2.46 0.66 -0.03 -0.74 0.57 -0.11 1.86 0.69
12. Raw Data Analysis and Modeling
Data modeling [Analyte]i = te(speedi-n, acceli-n) + … +
te(speedi-m, acceli-m)
Results
ISA Mode Comparison
OFF vs. ADV OFF vs. VOL ADV vs. VOL
OFF ADV VOL difference % p difference % p difference % p
Diesel Mondeo CO2 (g.km
-1
) 258.19 266.57 260.65 8.38 3.04 0.52 2.46 0.93 0.63 5.92 -1.89 0.63
All Routes CO (g.km
-1
) 0.12 0.12 0.12 0.01 4.00 0.61 0.001 1.41 0.49 0.004 -2.34 0.82
HC (g.km-1
) 0.27 0.28 0.27 0.01 3.15 0.70 0.001 0.31 0.59 0.01 -2.61 0.82
NOx (g.km-1
) 0.74 0.77 0.75 0.03 3.40 0.46 0.01 1.05 0.60 0.02 -2.11 0.64
Fuel economy
(km.litres
-1
)
7.75 7.68 7.73 -0.07 -0.14 0.52 -0.02 -0.63 0.54 -0.06 0.84 0.56
Petrol Mondeo CO2 (g.km
-1
) 370.07 388.75 373.98 18.7 4.36 0.66 3.91 0.77 0.57 14.8 -3.15 0.69
All Routes CO (g.km
-1
) 1.38 1.51 1.41 0.13 7.65 0.55 0.03 1.47 0.39 0.10 -5.17 0.71
HC (g.km
-1
) 0.68 0.72 0.69 0.04 4.42 0.65 0.01 0.72 0.43 0.03 -3.25 0.71
NOx (g.km
-1
) 0.25 0.25 0.25 0.01 1.98 0.57 -0.0003 -0.37 0.60 0.01 -2.16 0.64
Fuel economy
(km.litres-1
)
6.41 6.27 6.38 -0.14 -2.46 0.66 -0.03 -0.74 0.57 -0.11 1.86 0.69
Small penalty for using ISA: Emissions +0.5 to +4%
Fuel economy -0.7 to -2.5%
13. Raw Data Analysis and Modeling
Data modeling [Analyte]i = te(speedi-n, acceli-n) + … +
te(speedi-m, acceli-m)
Results
ISA Mode Comparison
OFF vs. ADV OFF vs. VOL ADV vs. VOL
OFF ADV VOL difference % p difference % p difference % p
Diesel Mondeo CO2 (g.km
-1
) 258.19 266.57 260.65 8.38 3.04 0.52 2.46 0.93 0.63 5.92 -1.89 0.63
All Routes CO (g.km
-1
) 0.12 0.12 0.12 0.01 4.00 0.61 0.001 1.41 0.49 0.004 -2.34 0.82
HC (g.km-1
) 0.27 0.28 0.27 0.01 3.15 0.70 0.001 0.31 0.59 0.01 -2.61 0.82
NOx (g.km-1
) 0.74 0.77 0.75 0.03 3.40 0.46 0.01 1.05 0.60 0.02 -2.11 0.64
Fuel economy
(km.litres
-1
)
7.75 7.68 7.73 -0.07 -0.14 0.52 -0.02 -0.63 0.54 -0.06 0.84 0.56
Petrol Mondeo CO2 (g.km
-1
) 370.07 388.75 373.98 18.7 4.36 0.66 3.91 0.77 0.57 14.8 -3.15 0.69
All Routes CO (g.km
-1
) 1.38 1.51 1.41 0.13 7.65 0.55 0.03 1.47 0.39 0.10 -5.17 0.71
HC (g.km
-1
) 0.68 0.72 0.69 0.04 4.42 0.65 0.01 0.72 0.43 0.03 -3.25 0.71
NOx (g.km
-1
) 0.25 0.25 0.25 0.01 1.98 0.57 -0.0003 -0.37 0.60 0.01 -2.16 0.64
Fuel economy
(km.litres-1
)
6.41 6.27 6.38 -0.14 -2.46 0.66 -0.03 -0.74 0.57 -0.11 1.86 0.69
Counter-intuitively Advisory seems to have larger impact
14. Raw Data Analysis and Modeling
Data modeling [Analyte]i = te(speedi-n, acceli-n) + … +
te(speedi-m, acceli-m)
Results
ISA Mode Comparison
OFF vs. ADV OFF vs. VOL ADV vs. VOL
OFF ADV VOL difference % p difference % p difference % p
Diesel Mondeo CO2 (g.km
-1
) 258.19 266.57 260.65 8.38 3.04 0.52 2.46 0.93 0.63 5.92 -1.89 0.63
All Routes CO (g.km
-1
) 0.12 0.12 0.12 0.01 4.00 0.61 0.001 1.41 0.49 0.004 -2.34 0.82
HC (g.km-1
) 0.27 0.28 0.27 0.01 3.15 0.70 0.001 0.31 0.59 0.01 -2.61 0.82
NOx (g.km-1
) 0.74 0.77 0.75 0.03 3.40 0.46 0.01 1.05 0.60 0.02 -2.11 0.64
Fuel economy
(km.litres
-1
)
7.75 7.68 7.73 -0.07 -0.14 0.52 -0.02 -0.63 0.54 -0.06 0.84 0.56
Petrol Mondeo CO2 (g.km
-1
) 370.07 388.75 373.98 18.7 4.36 0.66 3.91 0.77 0.57 14.8 -3.15 0.69
All Routes CO (g.km
-1
) 1.38 1.51 1.41 0.13 7.65 0.55 0.03 1.47 0.39 0.10 -5.17 0.71
HC (g.km
-1
) 0.68 0.72 0.69 0.04 4.42 0.65 0.01 0.72 0.43 0.03 -3.25 0.71
NOx (g.km
-1
) 0.25 0.25 0.25 0.01 1.98 0.57 -0.0003 -0.37 0.60 0.01 -2.16 0.64
Fuel economy
(km.litres-1
)
6.41 6.27 6.38 -0.14 -2.46 0.66 -0.03 -0.74 0.57 -0.11 1.86 0.69
While more consistent, these are still not statistically significant
19. Micro-trip Analysis
Chopping total journey into a series of segments or sub-journeys
and analyzing these
So, working at resolutions
between the total journey and raw data levels
BUT most importantly
we are retaining ‘near neighbour’ information
The approach has the potential to provide a trade-off between the
two extremes of conventional analysis
20. Micro-trip Analysis
Micro-trips has traditionally been more commonly used in transport
modeling than transport monitoring
Relatively few examples from monitoring work
Example: DeFries and colleagues used micro-trip separation by
vehicle movement start/stop time, so segments were vehicle
movements steps
BUT work elsewhere, e.g. the use of rolling window averages based
of CO2 emissions in EU studies, suggested (to me at least) other
segmentation strategies could be worth considering
Reference: James E. Warila, Edward Glover, Timothy H. DeFries, Sandeep Kishan. Load
Factors, Emission Factors, Duty Cycles, and Activity of Diesel Nonroad Vehicles. 23rd
CRC Real World Emissions Workshop, San Diego, California, April 7-10, 2013.
21. Other Micro-trip Separations
Examples
• By Location
(and by extension by link, road feature, type, geometry or
conditions, etc)
• By Vehicle Activity
•By speed, acceleration, VSP event, etc
However, the associated data handling is
potentially highly time-consuming
22. This is one series of micro-trips (Marylebone Flyover, UK)
Here, we are looking at CO2 emissions (%change ISA OFF to Voluntary)
• An orange micro-trip means there is an emission penalty
• A blue micro-trip means there is an emission saving
• A red box around the micro-trip means it is statistically significant
23. Most places look like these:
• Most often a small change
• Most often a penalty rather than a saving
• Most often NOT statistically significant
24. But this stretch of road is different:
• Huge emission saving (30-70%)
• Statistically significant
25.
26. ‘Misassignment’ of speed limit means the
ISA managed vehicle is held at 30 mph
on the uphill while other vehicles
accelerate up hill to 40 mph…
So, the saving is a function of local
geography and speed limiting…
29. Sources:
Rowlingson, B. and Diggle, P. (1993)
Computers and Geosciences, 19, 627-655.
Bivand, R. and Gebhardt, A. (2000) Journal
of Geographical Systems, 2, 307-317.
Define an irregular
Polygon…
… and extract all
journey data
within it
33. …And then automate it so we can ‘daisy chain’
it for multiple micro-trips on multiple runs
34. …BUT, once you have a step like this automated,
you very quickly find extra uses for it
Three clicks: one at the center of
the target roundabout, and one
each at typical entry and exit
points, then assume circular
areas/known radii
Here, because we want
a standard area about
each roundabout, we
use a simple point and
click method to make
reference files
Here, we used
Google Maps to
measure roundabout
turning angles