DOCSLIB.ORG

Automated Vehicles: Consultation Paper 3 - a Regulatory Framework for Automated Vehicles

Total Page：16

File Type：pdf, Size：1020Kb

Download full-text PDF Read full-text

Load more

Automated Vehicles: Consultation Paper 3 - A regulatory framework for automated vehicles A joint consultation paper Law Commission Scottish Law Commission Consultation Paper 252 Discussion Paper 171 Law Commission Consultation Paper No 252 Scottish Law Commission Discussion Paper No 171 Automated Vehicles: Consultation Paper 3 – A regulatory framework for automated vehicles A joint consultation paper 18 December 2020 © Crown copyright 2020 This publication is licensed under the terms of the Open Government Licence v3.0 except where otherwise stated. To view this licence, visit nationalarchives.gov.uk/doc/open- government-licence/version/3. Where we have identified any third party copyright information you will need to obtain permission from the copyright holders concerned. This publication is available at https://www.lawcom.gov.uk/project/automated-vehicles/ and at https://www.scotlawcom.gov.uk/publications. THE LAW COMMISSIONS – HOW WE CONSULT Topic of this consultation: In 2018, the Centre for Connected and Automated Vehicles (CCAV) asked the Law Commission of England and Wales and the Scottish Law Commission to examine options for regulating automated road vehicles. This is the third paper in that review. We make provisional proposals for a new regulatory system, examining the definition of “self-driving”; safety assurance before AVs are deployed on the road; and how to assure safety on an ongoing basis. We also consider user and fleet operator responsibilities, civil liability, criminal liability and access to data. Duration of the consultation: We invite responses from 18 December 2020 to 18 March 2021. Comments may be sent: Using an online form at: https://consult.justice.gov.uk/law-commission/automated-vehicles-regulatory-framework We have also produced a questionnaire in word format available on request. We are happy to accept comments in other formats. Please send your response: By email to [email protected] OR By post to Automated Vehicles Team, Law Commission, 1st Floor, Tower, 52 Queen Anne’s Gate, London, SW1H 9AG. If you send your comments by post, it would be helpful if, whenever possible, you could also send them by email. Availability of materials: The consultation paper is available on our websites at https://www.lawcom.gov.uk/project/automated-vehicles/ and https://www.scotlawcom.gov.uk/law-reform/law-reform-projects/joint-projects/automated- vehicles/ We are committed to providing accessible publications. If you require this consultation paper to be made available in a different format please email [email protected] or call 020 3334 0200. After the consultation: The responses to this consultation will inform the next stages of this project. We aim to produce a final report with recommendations by the end of 2021. Geographical scope: This consultation paper applies to the laws of England, Wales and Scotland. Consultation Principles: The Law Commission follows the Consultation Principles set out by the Cabinet Office. The Principles are available on the Cabinet Office website at: https://www.gov.uk/government/publications/consultation-principles-guidance. i Information provided to the Law Commissions: We aim to be transparent in our decision- making, and to explain the basis on which we have reached conclusions. This means that we may publish or disclose information you provide, including personal information. For example, we may publish an extract of your response in the Law Commissions’ publications, or publish the response itself. Additionally, we may be required to disclose the information in accordance with the Freedom of Information Act 2000 or the Freedom of Information (Scotland) Act 2002. We will process your personal data in accordance with the General Data Protection Regulation. If you consider that it is necessary for all or some of the information that you provide to be treated as confidential, and so neither published nor disclosed, please contact us before sending it. Please limit the confidential material to the minimum, clearly identify it and explain why you want it to be confidential. We cannot guarantee that confidentiality can be maintained in all circumstances and an automatic disclaimer generated by your IT system will not be regarded as binding on the Law Commissions. Alternatively, you may want your response to be anonymous. That means that we may refer to what you say in your response but will not reveal that the information came from you. If so, please make this clear. We list those who responded to our consultations in our reports. If you provide a confidential response your name will appear in that list. If your response is anonymous, we will not include your name in the list unless you have given us permission to do so. Further information about how we handle data is available at https://www.lawcom.gov.uk/document/handling-data/ and https://www.scotlawcom.gov.uk/about-us/freedom-information/. Any queries about the contents of this Privacy Notice can be directed to: [email protected] and [email protected]. About the Law Commissions: The Law Commission and the Scottish Law Commission were set up by the Law Commissions Act 1965 for the purpose of promoting the reform of the law. The Law Commissioners are: The Hon Mr Justice Green, Chair, Professor Sarah Green, Professor Nicholas Hopkins, Professor Penney Lewis and Nicholas Paines QC. The Chief Executive is Phillip Golding. The Scottish Law Commissioners are: The Rt Hon Lady Paton, Chair, David Bartos, Professor Gillian Black, Kate Dowdalls QC and Professor Frankie McCarthy. The Chief Executive is Malcolm McMillan. ii List of Abbreviations ABI: The Association of British Insurers. ADS: Automated Driving System. ADAS: Advanced Driver Assistance System. ADSE: Automated Driving System Entity. AEV Act: Automated and Electric Vehicles Act 2018. ALARP: as low as reasonably practicable. ALKS: Automated Lane Keeping System. AV: automated vehicle. BSI: British Standards Institution. CAV: Connected and Autonomous Vehicle. CCAV: Centre for Connected and Autonomous Vehicles. CP1: Consultation Paper 1. CP2: Consultation Paper 2. DfT: Department for Transport. DDT: Dynamic Driving Task. DSSAD: Data Storage Systems for Automated Driving. DVSA: Driver and Vehicle Standards Agency. EDR: Event Data Recorder. GDPR: General Data Protection Regulation 2016/679. GPSR: General Product Safety Regulations 2005 SI 2005/1803. HARPS: Highly Automated Road Passenger Service. IEEE: Institute of Electrical and Electronics Engineers. ISO: International Organization for Standardisation. MSU: Market Surveillance Unit. iii NUIC: No user-in-charge vehicle. NSSTA: National Small Series Type Approval. ODD: Operational Design Domain. OECD: Organisation for Economic Co-operation and Development. OEM: Original Equipment Manufacturer. PHV: Private Hire Vehicle. PSV: Public Service Vehicle. SAE: Society of Automotive Engineers. SMMT: Society of Motor Manufacturers and Traders. StVG: Strassenverkehrsgesetz (the German Road Traffic Act). TfL: Transport for London. TRO: Traffic Regulation Order. UNECE: United Nations Economic Commission for Europe. VCA: Vehicle Certification Agency. WVTA: Whole Vehicle Type-Approval. iv Glossary ABI/Thatcham Report: Association of British Insurers (ABI) and Thatcham Research, Defining Safe Automated Driving. Insurer Requirements for Highway Automation (September 2019). Advanced Driver Assistance System: Vehicle-based electronic systems which provide driver assistance. Automated driving system: A term used in the SAE Taxonomy to describe a vehicle system that uses both hardware and software to perform the dynamic driving task on a sustained basis. Sometimes abbreviated to ADS. Automated driving system entity: The entity that puts the ADS forward for legal categorisation as self-driving and is legally responsible for how the ADS performs dynamic control. The automated driving system entity must have been closely involved in assessing the safety of the ADS and have sufficient funds (e.g. to organise a recall). This may be the vehicle manufacturer or software designer or a joint venture between the two. We discuss the ADSE role and its associated obligations in Chapter 8. Sometimes abbreviated as ADSE. Automated Lane Keeping System (ALKS): a system which steers and controls vehicle speed in lane for extended periods on motorways. ALKS Regulation: UN Regulation 157 on uniform provisions concerning the approval of vehicles with regard to Automated Lane Keeping Systems ECE/TRANS/WP.29/2020/81 (25 June 2020). Allianz study: MA Kreutner and others, Needs and Requirements of EDR for Automated Vehicles – Analysis based on Insurance Claims Reported to Allianz Germany. Automated vehicles: a general term used to describe vehicles containing an automated driving system which is able to perform the dynamic driving task. Call for Evidence: Centre for Connected and Autonomous Vehicles, Safe Use of Automated Driving Systems Call for Evidence (August 2020). Conditional automation: A term used in the SAE Taxonomy to describe an automated driving system which can perform the entire dynamic driving task but with the expectation that a user will be receptive and respond appropriately to requests to intervene and certain failures affecting the vehicle: SAE Level 3. Connectivity: Connectivity in the context of connected cars refers to cars with a wireless connection that allows them to communicate with their internal and external environments, including with a remote supervisor and with other cars in a
Recommended publications
  • Disability Classification System

    Disability Classification System

    CLASSIFICATION SYSTEM FOR STUDENTS WITH A DISABILITY Track & Field (NB: also used for Cross Country where applicable) Current Previous Definition Classification Classification Deaf (Track & Field Events) T/F 01 HI 55db loss on the average at 500, 1000 and 2000Hz in the better Equivalent to Au2 ear Visually Impaired T/F 11 B1 From no light perception at all in either eye, up to and including the ability to perceive light; inability to recognise objects or contours in any direction and at any distance. T/F 12 B2 Ability to recognise objects up to a distance of 2 metres ie below 2/60 and/or visual field of less than five (5) degrees. T/F13 B3 Can recognise contours between 2 and 6 metres away ie 2/60- 6/60 and visual field of more than five (5) degrees and less than twenty (20) degrees. Intellectually Disabled T/F 20 ID Intellectually disabled. The athlete’s intellectual functioning is 75 or below. Limitations in two or more of the following adaptive skill areas; communication, self-care; home living, social skills, community use, self direction, health and safety, functional academics, leisure and work. They must have acquired their condition before age 18. Cerebral Palsy C2 Upper Severe to moderate quadriplegia. Upper extremity events are Wheelchair performed by pushing the wheelchair with one or two arms and the wheelchair propulsion is restricted due to poor control. Upper extremity athletes have limited control of movements, but are able to produce some semblance of throwing motion. T/F 33 C3 Wheelchair Moderate quadriplegia. Fair functional strength and moderate problems in upper extremities and torso.
  • University of Wales Archive (GB 0210 UNIVWALES)

    University of Wales Archive (GB 0210 UNIVWALES)

    Llyfrgell Genedlaethol Cymru = The National Library of Wales Cymorth chwilio | Finding Aid - University of Wales Archive (GB 0210 UNIVWALES) Cynhyrchir gan Access to Memory (AtoM) 2.3.0 Generated by Access to Memory (AtoM) 2.3.0 Argraffwyd: Mai 04, 2017 Printed: May 04, 2017 Wrth lunio'r disgrifiad hwn dilynwyd canllawiau ANW a seiliwyd ar ISAD(G) Ail Argraffiad; rheolau AACR2; ac LCSH This description follows NLW guidelines based on ISAD(G) Second Edition; AACR2; and LCSH. https://archifau.llyfrgell.cymru/index.php/university-of-wales-archive archives.library .wales/index.php/university-of-wales-archive Llyfrgell Genedlaethol Cymru = The National Library of Wales Allt Penglais Aberystwyth Ceredigion United Kingdom SY23 3BU 01970 632 800 01970 615 709 [email protected] www.llgc.org.uk University of Wales Archive Tabl cynnwys | Table of contents Gwybodaeth grynodeb | Summary information .............................................................................................. 3 Hanes gweinyddol / Braslun bywgraffyddol | Administrative history | Biographical sketch ......................... 3 Natur a chynnwys | Scope and content .......................................................................................................... 5 Trefniant | Arrangement .................................................................................................................................. 6 Nodiadau | Notes ............................................................................................................................................
  • Replacement Parts Price List

    Replacement Parts Price List

    REPLACEMENT PARTS PRICE LIST Product Catalog 2021 Replacement Parts Price List 607 PENTAIR 2021 Parts Price Eff. 09-14-2020 PART NO. DESCRIPTION US LIST CAN. LIST PART NO. DESCRIPTION US LIST CAN. LIST 00B7027 ORNG ADPT 13.03 15.66 071019Z KIT HOLDNG WHEEL 2000 45 39.26 47.17 00B8083 CLMP ASY V-BAND 209.27 251.46 071037 SCR 3/8 16X1 SCKT HD CAP 18 8 SS 7.48 8.99 012484 KIT XFMR/CRCT BRKR 167.83 201.66 071046 KEY IMPELLER 3/16 SQ C 29.42 35.35 05055-0003 LENS CLEAR 7.33"DIA 99.30 119.32 071048 WSHR IMP RTNR C SERIES 16.91 20.32 05057-0098 RNG LG REPAIR SS NICHE 241.24 289.87 071131Z DRAIN PLUG WFE ALMD 6.96 8.36 05057-0118 GSKT COLOR KIT 57.16 68.68 071136Z KIT KNB PLSTC LOOP ASY 26.10 31.36 05101-0002 GSKT SUNSAVER LENS 18.29 21.98 071389 NIPPLE BRASS .25 7.30 8.77 05101-0004 SCR LEADER 10-24 2" FH SUNSAVER 07-521 8.74 10.50 071390 NIPPLE 1/4 PVC NPT CLOSE 7.30 8.77 05101-0005 SCR RTNR RUBB 07-1667 1.86 2.23 071403 NUT 3/8-16 BRS BRIGHT NICKEL PLATED 1.74 2.09 05103-0001 NUT SUNSTAR 07-1411 26.30 31.60 071404Z NUT WING KIT 1.4-20 SS 8200 16.06 19.30 05103-0101 GASKET WALL FTG 8099 61-4566 11.63 13.97 071406 NUT 1/4-20 SS HEX 1.74 2.09 05103-0103 FTG WALL LENS SUNSTAR 07-1261 52.53 63.12 071407 NUT 5/8-18.75 HEX 17/6 13.64 16.39 05166-0001 GASKET VNYL SM NICHE 07-5802 4.27 5.13 071412 NUT HEX NO.
  • TPS23861 IEEE 802.3At Quad Port Power-Over-Ethernet PSE

    TPS23861 IEEE 802.3At Quad Port Power-Over-Ethernet PSE

    Product Order Technical Tools & Support & Folder Now Documents Software Community TPS23861 SLUSBX9I –MARCH 2014–REVISED JULY 2019 TPS23861 IEEE 802.3at Quad Port Power-over-Ethernet PSE Controller 1 Features 3 Description The TPS23861 is an easy-to-use, flexible, 1• IEEE 802.3at Quad Port PSE controller IEEE802.3at PSE solution. As shipped, it – Auto Detect, classification automatically manages four 802.3at ports without the – Auto Turn-On and disconnect need for any external control. – Efficient 255-mΩ sense resistor The TPS23861 automatically detects Powered • Pin-Out enables Two-Layer PCB Devices (PDs) that have a valid signature, determines • Kelvin Current Sensing power requirements according to classification and applies power. Two-event classification is supported • 4-Point detection for type-2 PDs. The TPS23861 supports DC • Automatic mode – as shipped disconnection and the external FET architecture – No External terminal setting required allows designers to balance size, efficiency and – No Initial I2C communication required solution cost requirements. • Semi-Automatic mode – set by I2C command The unique pin-out enables 2-layer PCB designs via logical grouping and clear upper and lower – Continuous Identification and Classification differentiation of I2C and power pins. This delivers – Meets IEEE 400-ms TPON specification best-in-class thermal performance, Kelvin accuracy – Fast-Port shutdown input and low-build cost. – Operates best when used in conjunction with In addition to automatic operation, the TPS23861 system reference code supports Semi-Auto Mode via I2C control for precision http://www.ti.com/product/TPS23861/toolssoftw monitoring and intelligent power management. are Compliance with the 400-ms TPON specification is ensured whether in semi-automatic or automatic • Optional I2C control and monitoring mode.
  • 2019 NFCA Texas High School Leadoff Classic Main Bracket Results

    2019 NFCA Texas High School Leadoff Classic Main Bracket Results

    2019 NFCA Texas High School Leadoff Classic Main Bracket Results Bryan College Station BHS CSHS 1 Bryan College Station 17 Thu 3pm Thu 3pm Cedar Creek BHS CSHS EP Eastlake SA Brandeis 49 Brandeis College Station 57 Cy Woods 1 BHS Thu 5pm Thu 5pm CSHS 2 18 Thu 1pm Brandeis Robinson Thu 1pm EP Montwood BHS CSHS Robinson 11 Huntsville 3 89 Klein Splendora 93 Splendora 9 BHS Fri 2pm Fri 2pm CSHS 3 Fredericksburg Splendora 19 Thu 9am Thu 9am Fredericksburg 6 VET1 VET2 Belton 6 Grapevine 50 58 Richmond Foster 11 BHS Thu 5pm Klein Splendora Thu 5pm CSHS 4 20 Thu 11am Klein Richmond Foster Thu 11am Klein 11 BHS CSHS Rockwall 2 SA Southwest 9 97 SA Southwest Cedar Ridge 99 Cy Ranch 7 VET1 Fri 4pm Fri 4pm CP3 5 Southwest Cy Ranch 21 Thu 11am Thu 1pm Temple 5 VET1 CP3 Plano East 5 Clear Springs 2 51 Southwest Alvin 59 Alvin VET1 Thu 3pm Thu 5pm CP3 6 22 Thu 9am Vandegrift Alvin Thu 3pm Vandegrift 5 BHS CSHS Lufkin San Marcos 5 90 94 Flower Mound 0 VET2 Fri 12pm Southwest Cedar Ridge Fri 12pm CP4 7 San Marcos Cedar Ridge 23 Thu 9am Thu 1pm Magnolia West 3 VET2 CHAMPIONSHIP CP4 RR Cedar Ridge 12 McKinney Boyd 3 52 Game 192 60 SA Johnson VET2 Thu 3pm San Marcos BHS Cedar Ridge Thu 5 pm CP4 8 4:00 PM 24 Thu 11am M. Boyd BHS 5 10 BHS Johnson Thu 3pm Manvel 0 129 Southwest vs. Cedar Ridge 130 Kingwood Park Bellaire 3 Sat 10am Sat 8am Deer Park VET4 BRAC-BB 9 Cedar Park Deer Park 25 Thu 11am Thu 1pm Cedar Park 5 VET4 BRAC-BB Leander Clements 13 53 Cedar Park MacArthur 61 SA MacArthur VET4 Thu 3pm Thu 5pm BRAC-BB 10 26 Thu 9am Clements MacArthur Thu 3pm Waco University 0 BHS CSHS Tomball Memorial Cy Fair 4 91 Friendswood Woodlands 95 Woodlands 2 VET5 Fri 8am Fri 8am BRAC-YS 11 San Benito Woodlands 27 Thu 11am Thu 1pm San Benito 10 VET5 BRAC-YS SA Holmes 1 Friendswood 10 54 62 Santa Fe VET5 Thu 3pm Friendswood Woodlands Thu 5pm BRAC-YS 12 28 Thu 9am Friendswood Santa Fe Thu 3pm Henderson 0 VET1 VET2 Lake Travis Ridge Point 16 98 100 B.
  • Classification Made Easy Class 1

    Classification Made Easy Class 1

    Classification Made Easy Class 1 (CP1) The most severely disabled athletes belong to this classification. These athletes are dependent on a power wheelchair or assistance for mobility. They have severe limitation in both the arms and the legs and have very poor trunk control. Sports Available: • Race Runner (RR1) – using the Race Runner frame to run, track events include 100m, 200m and 400m. • Boccia o Boccia Class 1 (BC1) – players who fit into this category can throw the ball onto the court or a CP2 Lower who chooses to push the ball with the foot. Each BC1 athlete has a sport assistant on court with them. o Boccia Class 3 (BC3) – players who fit into this category cannot throw the ball onto the court and have no sustained grasp or release action. They will use a “chute” or “ramp” with the help from their sport assistant to propel the ball. They may use head or arm pointers to hold and release the ball. Players with a impairment of a non cerebral origin, severely affecting all four limbs, are included in this class. Class 2 (CP2) These athletes have poor strength or control all limbs but are able to propel a wheelchair. Some Class 2 athletes can walk but can never run functionally. The class 2 athletes can throw a ball but demonstrates poor grasp and release. Sports Available: • Race Runner (RR2) - using the Race Runner frame to run, track events include 100m, 200m and 400m. • Boccia o Boccia Class 2 (BC2) – players can throw the ball into the court consistently and do not need on court assistance.
  • Technology Enhancement and Ethics in the Paralympic Games

    Technology Enhancement and Ethics in the Paralympic Games

    UNIVERSITY OF PELOPONNESE FACULTY OF HUMAN MOVEMENT AND QUALITY OF LIFE SCIENCES DEPARTMENT OF SPORTS ORGANIZATION AND MANAGEMENT MASTER’S THESIS “OLYMPIC STUDIES, OLYMPIC EDUCATION, ORGANIZATION AND MANAGEMENT OF OLYMPIC EVENTS” Technology Enhancement and Ethics In the Paralympic Games Stavroula Bourna Sparta 2016 i TECHNOLOGY ENHANCEMENT AND ETHICS IN THE PARALYMPIC GAMES By Stavroula Bourna MASTER Thesis submitted to the professorial body for the partial fulfillment of obligations for the awarding of a post-graduate title in the Post-graduate Programme, "Organization and Management of Olympic Events" of the University of the Peloponnese, in the branch "Olympic Education" Sparta 2016 Approved by the Professor body: 1st Supervisor: Konstantinos Georgiadis Prof. UNIVERSITY OF PELOPONNESE, GREECE 2nd Supervisor: Konstantinos Mountakis Prof. UNIVERSITY OF PELOPONNESE, GREECE 3rd Supervisor: Paraskevi Lioumpi, Prof., GREECE ii Copyright © Stavroula Bourna, 2016 All rights reserved. The copying, storage and forwarding of the present work, either complete or in part, for commercial profit, is forbidden. The copying, storage and forwarding for non profit-making, educational or research purposes is allowed under the condition that the source of this information must be mentioned and the present stipulations be adhered to. Requests concerning the use of this work for profit-making purposes must be addressed to the author. The views and conclusions expressed in the present work are those of the writer and should not be interpreted as representing the official views of the Department of Sports’ Organization and Management of the University of the Peloponnese. iii ABSTRACT Stavroula Bourna: Technology Enhancement and Ethics in the Paralympic Games (Under the supervision of Konstantinos Georgiadis, Professor) The aim of the present thesis is to present how the new technological advances can affect the performance of the athletes in the Paralympic Games.
  • MAINT.Data: Modelling and Analysing Interval Data in R by A

    MAINT.Data: Modelling and Analysing Interval Data in R by A

    CONTRIBUTED RESEARCH ARTICLE 1 MAINT.Data: Modelling and Analysing Interval Data in R by A. Pedro Duarte Silva, Paula Brito, Peter Filzmoser and José G. Dias Abstract We present the CRAN R package MAINT.Data for the modelling and analysis of multivariate interval data, i.e., where units are described by variables whose values are intervals of IR, representing intrinsic variability. Parametric inference methodologies based on probabilistic models for interval variables have been developed, where each interval is represented by its midpoint and log-range, for which multivariate Normal and Skew-Normal distributions are assumed. The intrinsic nature of the interval variables leads to special structures of the variance-covariance matrix, which are represented by four different possible configurations. MAINT.Data implements the proposed methodologies in the S4 object system, introducing a specific data class for representing interval data. It includes functions and methods for modelling and analysing interval data, in particular maximum likelihood estimation, statistical tests for the different configurations, (M)ANOVA and Discriminant Analysis. For the Gaussian model, Model-based Clustering, robust estimation, outlier detection and Robust Discriminant Analysis are also available. Introduction In classical statistics and multivariate data analysis, the basic units under analysis are single individuals, described by numerical and/or categorical variables, each individual taking one single value for each variable. For instance, a specific football player may be described by his age, height, weight, goals marked, nationality; a specific passenger by his/her gender, age, destination, weight of luggage, etc. Data are organised in a data-array, where each cell (i, j) contains the value of variable j for individual i.
  • Differential Growth Patterns in SCID Mice of Patient-Derived Chronic Myelogenous Leukemias

    Differential Growth Patterns in SCID Mice of Patient-Derived Chronic Myelogenous Leukemias

    Bone Marrow Transplantation, (1998) 22, 367–374 1998 Stockton Press All rights reserved 0268–3369/98 $12.00 http://www.stockton-press.co.uk/bmt Differential growth patterns in SCID mice of patient-derived chronic myelogenous leukemias J McGuirk1,2,5, Y Yan1,4, B Childs1,2, J Fernandez1, L Barnett1, C Jagiello1, N Collins1 and RJ O’Reilly1,2,3,4 1Bone Marrow Transplantation Service, 2Department of Medicine, 3Department of Pediatrics, and 4Research Animal Laboratory, Memorial Sloan-Kettering Cancer Center, New York, NY, USA Summary: The product of this rearrangement is a bcr-abl hybrid gene, which encodes a p210 protein product with tyrosine kinase The development of an in vivo model for the study of activity and is thought to have leukemogenic properties.4 CML would be of significant importance in studying its CML typically begins as an initial chronic phase (CP) biological behavior and developing novel therapeutic which lasts approximately 4–6 years with eventual pro- strategies. We examined the ability of human leukemic gression to blastic transformation commonly heralded by cells derived from patients in either chronic (CP), accel- the acquisition of additional chromosomal abnormalities by erated (AP) or blast phase (BP) CML to grow and dis- Ph+ stem cells including duplication of the Ph chromosome, seminate in CB17-SCID mice by subcutaneous (s.c.) isochromy 17q and trisomy of chromosomes 8, 19 or 21.5,6 inoculation without conditioning treatment or adminis- The relationship of these non-random chromosomal tration of cytokines. Additionally, samples derived from changes to the progression of this disease is not well under- patients with CP-CML were injected s.c.
  • Ricability Is a Charity That Researches and Publishes Information on Products and Services for Older and Disabled People

    Ricability Is a Charity That Researches and Publishes Information on Products and Services for Older and Disabled People

    rica bili ty Choos ing a car A guide for older and disabled people 2011 The information contained in this guide is correct at the time of going to print (June 2011). It will be reviewed every two years. See our website for any changes since printing. Ricability is a charity that researches and publishes information on products and services for older and disabled people Unit G03 The Wenlock 50–52 Wharf Road London N1 7EU Tel: 020 7427 2460 Fax: 020 7427 2468 Textphone: 020 7427 2469 Email: [email protected] www.ricability.org.uk Choosing a c ar A guide for older and disabled people Choosing a car can be a complicated Contents decision. Manufacturers’ brochures and test reports in magazines will Setting off 4 help you weigh up and compare such things as performance, What to look for 7 running costs and reliability. Wheelchair users 18 However, if you are having Checklist 21 difficulty getting in and out or Finance 24 driving a car, there are other things you may need to consider. Many Suppliers 27 cars have features that will make The legal side 28 your life easier, and there are simple Useful organisations 30 gadgets and more complex adaptations that can help with Find a car – Car measurement database almost any driving problem. Visit our website to search for the easiest Here you will find what to look cars to get in and out of. There are out for. The guide also describes factsheets like this one on over 700 cars. some of the simpler equipment that can make driving the car easier.
  • National Towing Working Group Safety Framework

    National Towing Working Group Safety Framework

    National Towing Working Group Safety Framework April 2019 1. Introduction ...................................................................................................................... 5 2. Together for a Safer Future: NTWG ................................................................................. 6 3. Safe Systems Approach .................................................................................................. 7 4. The Challenge ................................................................................................................. 8 4.1. Collision and casualty data ....................................................................................... 8 4.1.1. Contributory factors ......................................................................................... 10 4.1.2. Towing type ...................................................................................................... 11 4.1.3. Manoeuvre and junction details ........................................................................ 11 4.1.4. Towing and journey purpose ........................................................................... 12 4.2. Strategic road network incident data ...................................................................... 13 4.3. Compliance and engagement event data ............................................................... 14 4.4. Towing Survey 2017 ............................................................................................... 15 5. Towing for Business ......................................................................................................
  • WJ200 Series Brochure

    WJ200 Series Brochure

    PursuingPursuing thethe IdealIdeal CompactCompact InverterInverter Series Designed for excellent performance and user friendliness Printed in Japan (H) SM-E265 1109 Industry-leading Levels of Performance Index High starting torque of 200% or greater achieved Simple positioning control Features P2–5 3 Trip avoidance functions 4 1 by sensorless vector control (when sized for heavy duty). (when feedback signal is used.) Standard Speci cations P6 Integrated auto-tuning function for easy sensorless vector control Minimum time deceleration function, over-current suppress function When simple positioning function is activated, speed control operation or realizes high torque suitable for applications requiring it such as crane and DC bus AVR function are incorporated. The functions reduce positioning control operation is selectable via intellient input. While the [SPD] General Speci cations P7 hoists, lifts, elevators, etc. nuisance tripping. Improved torque limiting/current limiting function input is ON, the current position counter is held at 0. When [SPD] is OFF, the enables a load limit to protect machine and equipment. inverter enters positioning control operation and the position counter is active. Example of Torque Characteristics Dimensions P8 (Example of WJ200-075LF) (%) Example of Hitachi's standard motor. (7.5kW 4-pole) Output Frequency 200 Minimum time deceleration Function Start position counting Operation and Programming P9 OFF ON 100 Speed control Position control Motor Current DB Terminal (Arrangements/Functions) P 10 – 11 Motor Current Torque 0 0.5 1 3 6 10 20 30 40 50 60Hz SPD input Time Target position Function List P 12 – 20 -100 ON DC Voltage -200 DC Voltage Protective Functions P 21 Speed (min-1) Output Frequency Output Frequency Induction motor & Permanent magnetic motor* Auto-tuning to perform sensorless vector control can now be easily done.