David Horley completed a MEng in Geoinformatics at university. His course modules covered topics such as geometrical concepts, statistical principles, GIS, remote sensing, measurement systems, management, communication, error analysis, data modelling, systems evaluation, sensor design, and modelling the built and natural environments. For his final year individual project, he conducted a 3D modeling survey in Manchester to assess registration issues between video footage and injected CAD models for augmented reality. Since 2002, Horley has worked as the Managing Director of LouDa Design Ltd, generating over 15,000 AutoCAD drawings for mechanical, civil, and architectural clients.
Complex Background Subtraction Using Kalman FilterIJERA Editor
Background subtraction from dynamic background, At any location of the scene, this system extract a sequence of regular video bricks, i.e., video volumes spanning over both spatial and temporal domain. The background modeling is thus posed as pursuing subspaces within the video bricks while adapting the scene variations. For each sequence of video bricks, it pursues the subspace by employing the auto regressive moving average model that jointly characterizes the appearance consistency and temporal coherence of the observations. During online processing, it use tracking algorithm kalman’s filter for background/foreground classification and incrementally update the subspaces to cope with disturbances from foreground objects and scene changes.
Enhancement of genetic image watermarking robust against cropping attackijfcstjournal
The enhancement of image watermarking algorithm robust against particular attack by using genetic
algorithm is presented here. There is a trade-off between imperceptibility and robustness in image
watermarking. To preserve both of these characteristics in digital image watermarking in a logical value,
the genetic algorithm is used. Some factors were introduced for providing robustness of image
watermarking against cropping attack such as the Centre of Interest Proximity Factor (CIPF), the
Complexity Factor (CF) and the Priority Coefficient (PC).
A New Approach for Multi Index Automatic Change Detection in HR Remotely Sens...IJLT EMAS
In recent years the technology is growing rapidly and the development of the country very fast and also due to this the infrastructures are increasing. Hence the changes could be noted by using new generation of Earth observation sensors with high spatial resolution or high resolution (HR) which provide detailed information for change detection. The widely used methods for high-resolution image change detection rely on textural/structural features. In order to get the high resolution images for viewing the areas in this project we use multi index automatic change detection method is proposed for the high-resolution imagery. The advantages are as follows: 1) The information (images) sent by the satellite would be in very low size, low pixels so in order to improve the viewing ability we use high-dimensional but low-level features (e.g., textural and structural features) i.e. multi index representation method. The multi index representation refers to the enhanced vegetation index, the water index, and the recently developed morphological building index. I am going use this technique for implementing in military places, which has a very large application. Moreover, the traditional methods based on the state-of-the-art textural/morphological features were also implemented for the purpose of comparison, which further validates the advantages of my project.
Complex Background Subtraction Using Kalman FilterIJERA Editor
Background subtraction from dynamic background, At any location of the scene, this system extract a sequence of regular video bricks, i.e., video volumes spanning over both spatial and temporal domain. The background modeling is thus posed as pursuing subspaces within the video bricks while adapting the scene variations. For each sequence of video bricks, it pursues the subspace by employing the auto regressive moving average model that jointly characterizes the appearance consistency and temporal coherence of the observations. During online processing, it use tracking algorithm kalman’s filter for background/foreground classification and incrementally update the subspaces to cope with disturbances from foreground objects and scene changes.
Enhancement of genetic image watermarking robust against cropping attackijfcstjournal
The enhancement of image watermarking algorithm robust against particular attack by using genetic
algorithm is presented here. There is a trade-off between imperceptibility and robustness in image
watermarking. To preserve both of these characteristics in digital image watermarking in a logical value,
the genetic algorithm is used. Some factors were introduced for providing robustness of image
watermarking against cropping attack such as the Centre of Interest Proximity Factor (CIPF), the
Complexity Factor (CF) and the Priority Coefficient (PC).
A New Approach for Multi Index Automatic Change Detection in HR Remotely Sens...IJLT EMAS
In recent years the technology is growing rapidly and the development of the country very fast and also due to this the infrastructures are increasing. Hence the changes could be noted by using new generation of Earth observation sensors with high spatial resolution or high resolution (HR) which provide detailed information for change detection. The widely used methods for high-resolution image change detection rely on textural/structural features. In order to get the high resolution images for viewing the areas in this project we use multi index automatic change detection method is proposed for the high-resolution imagery. The advantages are as follows: 1) The information (images) sent by the satellite would be in very low size, low pixels so in order to improve the viewing ability we use high-dimensional but low-level features (e.g., textural and structural features) i.e. multi index representation method. The multi index representation refers to the enhanced vegetation index, the water index, and the recently developed morphological building index. I am going use this technique for implementing in military places, which has a very large application. Moreover, the traditional methods based on the state-of-the-art textural/morphological features were also implemented for the purpose of comparison, which further validates the advantages of my project.
International Journal of Computational Engineering Research(IJCER)ijceronline
International Journal of Computational Engineering Research(IJCER) is an intentional online Journal in English monthly publishing journal. This Journal publish original research work that contributes significantly to further the scientific knowledge in engineering and Technology
This presentation includes:
Velocity modeling the principles and pitfalls
Well and seismic velocity data
Incorporating velocity data to build a reliable model in Petrel software
Time to Depth conversion (Map and reservoir property)
Residual error correction and well marker adjustment
Structural uncertainty
A Novel Background Subtraction Algorithm for Dynamic Texture ScenesIJMER
International Journal of Modern Engineering Research (IJMER) is Peer reviewed, online Journal. It serves as an international archival forum of scholarly research related to engineering and science education.
User guide of reservoir geological modeling v2.2.0Bo Sun
This is the user guide of DepthInsight™ reservoir geological modeling module. For corresponding video tutorials , please visit and subscribe our Youtube channel: https://www.youtube.com/channel/UCjHyG-mG7NQofUWTZgpBT2w
DepthInsight™ software products include modules as follows:
Structure Interpretation
Well and Data Management
Plan Module
Profile Module
Attribute Modeling
Velocity Modeling
Structural Modeling
Reservoir Geological Modeling
Numerical Simulation Gridding
Rock Modeling
Geo-mechanical Modeling
Paleo-Structural Modeling
Enormous Modeling Platform
For more information about our company, Beijing GridWorld Software Technology Co., Ltd., please visit our website: http://gridworld.com.cn/en/
Performance analysis on color image mosaicing techniques on FPGAIJECEIAES
Today, the surveillance systems and other monitoring systems are considering the capturing of image sequences in a single frame. The captured images can be combined to get the mosaiced image or combined image sequence. But the captured image may have quality issues like brightness issue, alignment issue (correlation issue), resolution issue, manual image registration issue etc. The existing technique like cross correlation can offer better image mosaicing but faces brightness issue in mosaicing. Thus, this paper introduces two different methods for mosaicing i.e., (a) Sliding Window Module (SWM) based Color Image Mosaicing (CIM) and (b) Discrete Cosine Transform (DCT) based CIM on Field Programmable Gate Array (FPGA). The SWM based CIM adopted for corner detection of two images and perform the automatic image registration while DCT based CIM aligns both the local as well as global alignment of images by using phase correlation approach. Finally, these two methods performances are analyzed by comparing with parameters like PSNR, MSE, device utilization and execution time. From the analysis it is concluded that the DCT based CIM can offers significant results than SWM based CIM.
This paper presents an improved edge detection algorithm for facial and remotely sensed images using
vector order statistics. The developed algorithm processes coloured images directly without been converted
to grey scale. A number of the existing algorithms converts the coloured images into grey scale before
detection of edges. But this process leads to inaccurate precision of recognized edges, thus producing false
and broken edges in the output edge map. Facial and remotely sensed images consist of curved edge lines
which have to be detected continuously to prevent broken edges. In order to deal with this, a collection of
pixel approach is introduced with a view to minimizing the false and broken edges that exists in the
generated output edge map of facial and remotely sensed images.
REMOVING RAIN STREAKS FROM SINGLE IMAGES USING TOTAL VARIATIONijma
ABSTRACT
Rainy image restoration is considered asone of the most important image restorations aspects to improve the outdoor vision. Many fields have used this kind of restorations such as driving assistant, environment monitoring, animals monitoring, computer vision, face recognition, object recognition and personal photos. Image restoration simply means how to remove the noise from the images. Most of the images have some noises from the environment. Moreover, image quality assessment plays an important role in the valuation of image enhancement algorithms. In this research, we will use a total variation to remove rain streaks from a single image. It shows a good performance compared to other methods, using some measurements MSE, PSNR, and VIF for an image with references and BRISQUE for an image without references.
Changing the culture in an Ed-Tech department. What do you need to create better communication, and a deeper understanding of Educators VS Technologists
International Journal of Computational Engineering Research(IJCER)ijceronline
International Journal of Computational Engineering Research(IJCER) is an intentional online Journal in English monthly publishing journal. This Journal publish original research work that contributes significantly to further the scientific knowledge in engineering and Technology
This presentation includes:
Velocity modeling the principles and pitfalls
Well and seismic velocity data
Incorporating velocity data to build a reliable model in Petrel software
Time to Depth conversion (Map and reservoir property)
Residual error correction and well marker adjustment
Structural uncertainty
A Novel Background Subtraction Algorithm for Dynamic Texture ScenesIJMER
International Journal of Modern Engineering Research (IJMER) is Peer reviewed, online Journal. It serves as an international archival forum of scholarly research related to engineering and science education.
User guide of reservoir geological modeling v2.2.0Bo Sun
This is the user guide of DepthInsight™ reservoir geological modeling module. For corresponding video tutorials , please visit and subscribe our Youtube channel: https://www.youtube.com/channel/UCjHyG-mG7NQofUWTZgpBT2w
DepthInsight™ software products include modules as follows:
Structure Interpretation
Well and Data Management
Plan Module
Profile Module
Attribute Modeling
Velocity Modeling
Structural Modeling
Reservoir Geological Modeling
Numerical Simulation Gridding
Rock Modeling
Geo-mechanical Modeling
Paleo-Structural Modeling
Enormous Modeling Platform
For more information about our company, Beijing GridWorld Software Technology Co., Ltd., please visit our website: http://gridworld.com.cn/en/
Performance analysis on color image mosaicing techniques on FPGAIJECEIAES
Today, the surveillance systems and other monitoring systems are considering the capturing of image sequences in a single frame. The captured images can be combined to get the mosaiced image or combined image sequence. But the captured image may have quality issues like brightness issue, alignment issue (correlation issue), resolution issue, manual image registration issue etc. The existing technique like cross correlation can offer better image mosaicing but faces brightness issue in mosaicing. Thus, this paper introduces two different methods for mosaicing i.e., (a) Sliding Window Module (SWM) based Color Image Mosaicing (CIM) and (b) Discrete Cosine Transform (DCT) based CIM on Field Programmable Gate Array (FPGA). The SWM based CIM adopted for corner detection of two images and perform the automatic image registration while DCT based CIM aligns both the local as well as global alignment of images by using phase correlation approach. Finally, these two methods performances are analyzed by comparing with parameters like PSNR, MSE, device utilization and execution time. From the analysis it is concluded that the DCT based CIM can offers significant results than SWM based CIM.
This paper presents an improved edge detection algorithm for facial and remotely sensed images using
vector order statistics. The developed algorithm processes coloured images directly without been converted
to grey scale. A number of the existing algorithms converts the coloured images into grey scale before
detection of edges. But this process leads to inaccurate precision of recognized edges, thus producing false
and broken edges in the output edge map. Facial and remotely sensed images consist of curved edge lines
which have to be detected continuously to prevent broken edges. In order to deal with this, a collection of
pixel approach is introduced with a view to minimizing the false and broken edges that exists in the
generated output edge map of facial and remotely sensed images.
REMOVING RAIN STREAKS FROM SINGLE IMAGES USING TOTAL VARIATIONijma
ABSTRACT
Rainy image restoration is considered asone of the most important image restorations aspects to improve the outdoor vision. Many fields have used this kind of restorations such as driving assistant, environment monitoring, animals monitoring, computer vision, face recognition, object recognition and personal photos. Image restoration simply means how to remove the noise from the images. Most of the images have some noises from the environment. Moreover, image quality assessment plays an important role in the valuation of image enhancement algorithms. In this research, we will use a total variation to remove rain streaks from a single image. It shows a good performance compared to other methods, using some measurements MSE, PSNR, and VIF for an image with references and BRISQUE for an image without references.
Changing the culture in an Ed-Tech department. What do you need to create better communication, and a deeper understanding of Educators VS Technologists
Moving Beyond Google Forms for Assessment - CUE Annual 2016edulastic
Edulastic is an easy way to create online assessments that work seamlessly with Google Classroom. Many more question types than Google Forms, like drag-and-drop and graphing, as well as automatic grading.
1. David Horley
Appendix to CV
MEng Geoinformatics Course Modules
1st Year
Geom1010 – Geometrical Concepts
Principally mathematical manipulation of 2D & 3D coordinate geometry using matrix
transformations.
Geom1020 – Statistical Principles
Introducescontinuousstatistical errorsfoundinmeasurement.
Linear/non-linearleastsquares
Error propagationandqualityassessment.
Data correlationisalsoconsidered.
Geom1030-IT &Spatial DataStructures
Principlesof InformationSystems(hardware/software,networks)
ProgrammingwithVB6
GIS (Raster/vectordatastructures& cartographyinArcGIS)
Geom1040-Spatial DataManagement&Display
Principlesof data(Storage, Manipulation&Presentation)
SQL & Oracle Spatial extensions
Database modeling(Conceptual, Logical &Physical )
Topology (Connectivity,adjacency&containment)
Remotelysensedimage formationandprocessingmethods. (Classification&kernel filtering)
Geom1050-Physical Science
Groundinginscientificconcepts(Constants,units,standards&dimensionalanalysis)
Feel forquantitieswithinmathematical modellingfordesign.
EM & Acousticwaves (Atmosphericpropagation,refraction&scattering)
Signalling(Optics,sensingandimaging)
Geom1060-MeasurementSystems
Major spatial data measurementsystems (Land,sea, airandspace)
Practical experience of some landbasedsystemsduringfieldtriptoSpain.
2. Processingof GPS,aerial photogrammetricandsonardata.
Productionof DEMs, CAD modelsandflythroughs.
Surveynetworkspecifications,calibrationanddataqualityissues.
Mast1001-Foundationsofmanagement
Basis for effective application of concepts, methods and analysis relating to challenges
withinmanagement.
Keyto efficiencyof individualsandgroups.
Prioritiseddriversrequiringrealisticassessment
Expertise combines
o Critical thinking
o Evaluation
o Analysis
o
Mast1002-Communication&Behavior inOrganisations
How behavioral sciences, studying individuals & groups, aid the understanding of
organisationsand improvementtoworkingexperiences.
Individual behavioural motives and patterns are explained in detail. The role of stress in
behaviourinthe workplace is discussed.
Group behaviour of individuals is discussed and the importance of effective communication
isdetailed.
Leadership at all levels examines the influence of individuals over others within a group and
beyond.
3. 2nd Year
Geom2002-ErrorAnalysis
Mathematical modellingcanderive useful resultsfromobservationsthatare error prone.
Least squares functional and stochastic modelling are applied to terrestrial as well as GPS
problems.
Quality indicators are examined in detail to draw final conclusions on the success of the
designof a networkorany of the observationsmade fromit.
Geom2003-DataModellinginSpaceandtime
Engineering reliance upon mathematical modelling (MM) is discussed. Practical MM skills of
relevance to geomatics are progressively developed to intermediate level and resulting
qualityisassessed.
Linear,polynomial,logarithmic,exponentialdatafitting andsurface fitting.
Differentiation as a model of change, Fourier analysis to model periodicy and modellingfrom
systemsof equationsingeneral.
Geom2004-SystemsEvaluation
FamiliarisationwithCAD,GISandotherpackagesforthe displayof spatial data.
Vector:GIS systems(ArcGIS) &map objects
Raster:ERDAS Imagine,RSIENVIetc
UML
Geom2005-AdvancedSurfaceRepresentations
Differing strategies used over a wide range of object scales and requirements in 3D
visualisation.
2.5D surface representation: (DEMs,DSMs,TINs,bi-variate polynomials)
3D surface representation:
Brep (Boundary Representation), CSG (Constructive Solid Geometry), NURBS (Non-
UniformRational B-splines)
3D data structures: (SOE(Spatial OccupancyEnumeration),Octree)
Visualisationtechniquesforgeometry –2.5D & 3D:
Z-Buffer,texturerendering,bump-mapping, radiosity&raytracing
Geom2006-MeasurementDesignStrategies
Scalesandrequirements.(Global,city,building&engineering )
Differencesinstrategy,
Assessmentof taskrequirementsandqualityassurance
Detailedconsiderationof QA andcalibration/validationare given.
Geom2007-SensorandInstrumentationdesign
Technologyatuse withinthe measurementchain (Capture,Processing&Qualitycontrol)
The theoryand practice of
4. Applicationsandmeasurementtasks
Phase/TOFdistance measurement: EDM, GPS, SAR & interferometry
Optical tools:photogrammetry,range imaging&lasertrackers
Navigational systems: INS, GPS
CMMs (Coordinage MeasurementMachines)
Angularmeasurement
Environmental factors:Temperature,pressure,humidity&vibration
QA mechanisms
Mast7001-Managementinformationandcontrol
Performance measurement tools in business, their context and how they impact managerial
decisions.
‘Business understands numbers’ is a key concept in the understanding of performance
indicators. Performance indicators, whether derived from financial accounting or non-
financial data sources need to match the function of the measurement being explored to be
meaningful.
Mast7003-OrganisationalChange
Looksat the driversforand the influence overmanagerialprioritiesthatchange brings.
Change driversinclude:economic,social,behavioural andenvironmental issues.
Key managerial priorities include: achieving goals, developing/enhancing performance,
developmentof dynamicpolicytocope withchange.
Expert leadership is seen as the ability to aquire, understand and apply reasoning to a broad
frontof challengesfacingmanagementatall levels.
5. 3rd Year
Geom3001-Systemdesignandanalysis
The developmentof skillsinsoftware engineeringandsystemsanalysis/design.
The definition of user requirements and how to ensure that products/services are fit for
purpose.
Aims
To comprehendthe theoryandpractice of
Software engineeringprinciples:
o Modularity
o Specification
o Data abstraction
o Objectmodelling
o Designpatterns
Visual modellingtools –UML
Geom3002-GroupProject
Tasked to illustrate the development of the Stratford 2012 Olympic site in terms of
beneficial change tothe surroundingareaduringandafterthe Olympics.
The project corresponded to an Invitation to Tender for a project. Aimed to develop
researchand managementskillswithingroupparticipationaswell asprojectmanagement.
Solutions to the ITT sought as written and oral reports to the ‘client’, with group and
individualperformance assessment.
Geom3003-Emergingcommerciallandscapes
Technical innovationaltersthe nature andpractice of geomaticsovertime.
Commercial impacts are traced from several perspectives in order to develop generic
managementcompetencies within geomatics.
Two groupprojectsexplored:
Productionof a businessplanforasmall start up company
Implementationof amajor change
Two individual reportsexplored:
An individual reportreviewedanew directioningeomatics
An individual presentation, on a case for major reinvestment, was prepared for
anothermemberof the studygroupto present.
Understanding was gained of commercial practice, legal constraints, the dynamics of
innovation, flexible/just in time production policies, the global economy, R&D contractual
issuesandhealth&safety.
6. Geom3004-Dissertation
A supervised, individual research project on a topic of interest aimed at developing
analytical andcommunicative skills. Culminatedina10,000 wordreportand presentation.
My project examined the role of 3D CAD ‘seed’ modeling with respect to the model
extraction requirements of enhanced situational awareness sensor networks under
development. (This project was directly relevant to the BBC’s participation within the VSAR
project.)
InvolvedpointcloudmodellingwithinLeicaCyclone/Cloudwerx environmenttoproduce
model of UCL Porticowhichwas furtherrenderedusingMental Ray withinAutoCAD.
Geom3056-measuringandmodellingthebuiltenvironment
The role of geomatics in the measurement and mapping of the human environment and the
analysisof itsassociatedactivities.
Practical detailed terrestrial measured survey techniques, together with the processing of
photogrammetricandLiDARdata.
3D City modelling techniques and products for planning buildings and surrounding
infrastructures.
Human environmental modelling such as network analysis, Location Allocation, Conservation
and the census.
Geom3058-Thecoastal zoneandoffshoreenvornment
How geomaticsaidsthe understanding&managementof oceanandcoastal zones.
Hydrographictechniques:echosoundingand acousticpositioning
Remote sensingfromsatellite andairborne platforms
Environmental factors:tides,oceancirculation,datumsetc
Group project to site a new yacht marina for Glasgow (encompassed all areas of study in the
module)
7. 4th Year
Geom3057-Natural Envornment
Measurementandmappingmethods forthe natural environment
Usingrecognised classification themestointerpretandmonitorresourcesandchange
Analysiswith GISforinformeddecisionmaking
The module examines the mathematical principles behind image processing and the role of
Earth Observationdataas usedbyGMES etc.
Final Year Individual Project
Substantial supervised,individual researchprojectsplitasfollows:
Geom4011-researchedSolutions(Problemdefinition)
Geom4021-Individual project(Preparation)
o Reading,collectingdata,performinginitial tests
Geom4026-individual project(Research)
o Main experiments,dataanalysisandwrite up
A continuation of the 3rd
year project theme examined 3D modeling with reference to
potential image registration requirementsof the BBC’sVSARproject.
Involved state of the art measured survey of portion of central Manchester adjacent to BBC
broadcasting house using phase based laser scanning, NRTK GPS (Smartnet) and
traditional surveyedtraverse alongside photogrammetricimage blocksurvey.
Aimed to assess registration issues between broadcast quality video footage and injected
CAD modeling for augmenting user’s range of viewpoints around a scene.
8. Work history
May’02– Current
Managing Director of LouDa Design Ltd.
Client list:
To date I have generated over 15,000 AutoCAD drawings for a diverse portfolio of
clients including:
Mechanical
ASME Engineering
Bardeck Lifts
Creighton Engineering
David Ellis Associates
HEADS (High Elevation
Aerial Decent System)
KP Engineering
RDR Design Associates
(United Glass)
Star Seperations
Stream Environmental
Civil Engineering
Haider Associates
Kvaerner
Kebbel housing
Skanska
P & O
Architectural
Balneaves Chadwick
Associates
Connaught Mason
Fairhurst Consultants
Flatley Horner
Partnership
London Hostels
Association
Peter Hale
Odedina & Allardyce
Peter Jankel
Westminster Partitions
Woodland Environmental
Service Infrastructure
Exoteric Gas Solutions
Ionica
Isoline Design
Mercury One to One
Microcell
Orange Mobile
P and I Data
Questra Electrical
S.E. Water
RSL .Com
Withey Electrical
Services
Whittle Associates
Surveying &
Buildings
Management
Fresson and Tee
Gibb Partnership
Hill Partnership
Montgomery Partnership
Quay 430
Square Peg Solutions
London Hostel
Association
Broadcast
Infrastructure
BBC
Merlin Communications
International
dB Broadcast
CAD Outsource
Services
MJ Designs
Scott Shedden
Partnership
Additional skills
9. Software experience:
Commercial
CAD
AutoCAD releases 9 thro 2010
GTX RasterCAD Plus
Reading up AutoDESK Inventor
Accounting
Quickbooks
Management
Mindjet Mindmanager
Office 2007
Word, Excel, Powerpoint, Outlook
Educational
CAD
CADCorps, Microstation
GIS
ArcGIS, ArcPAD
Point Cloud Processing
Leica Cyclone & CloudWerx
TerraSolid
Photogrammetry
Leica Photogrammetry Suite
Photomodeller
Photosynth, VMS
ImageModeller, Arc 3D
Management
Office Project
Rendering/Animation
Cinema 4D, AutoCAD
GNSS
Leica Geo Office
Network Adjustment
Star*Net
Spatial Database
Oracle
Image Processing
ER Mapper
Erdas Imagine
Programming
Visual Basic 6
Java, HTML, SQL
I have had experience of countless programs and applications over the years as well
as advanced knowledge Microsoft operating systems from DOS 5 through to
Windows 10. The list of utilities and security programs is too long to list here.
10. References/referees
ProfessorStuartRobson
Professorof PhotograpmmetryandLaser
Scanning
Room107,
The Departmentof Civil,Environmental
and GeomaticEngineering,
The ChadwickBuilding,
UniversityCollege London,
GowerStreet,
London
WC1E 6BT
Tel:0207 679 2726
Email:srobson@cege.ucl.ac.uk
ProfessorMarekZiebart
Professorof Space Geodesy
Room118,
The Departmentof Civil,Environmental
and GeomaticEngineering,
The ChadwickBuilding,
UniversityCollege London,
GowerStreet,
London
WC1 6BT
Tel:0207 679 1359
Email:marek@cege.ucl.ac.uk
Mr Bob Scott,
The Scott SheddenPartnership,
Kebbel House,
DeltaGain,
CarpendersPark,
Watford
Hertfordshire
WD19 5ES
Tel:0208 428 9651
Mr Paul Childerhouse
CIS ConfigurationManagementManager
Building181
NorthwoodHeadquarters
SandyLane
Northwood
Middlesex
HA6
Tel:01923 57000 (AskforPaul’sExtnNo.