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CICESE Research CenterCICESE Research Center
KNOWLEDGE GENERATIONKNOWLEDGE GENERATION
APPLYING INFORMATION APPLYING INFORMATION TECHNOLOGIES IN A TECHNOLOGIES IN A
MULTIINSTITUTIONAL NETWORK MULTIINSTITUTIONAL NETWORK
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DEPARTMENT OF ELECTRONICS AND DEPARTMENT OF ELECTRONICS AND TELECOMMUNICATIONSTELECOMMUNICATIONS
Applied Physics Division
RESEARCH AREASRESEARCH AREAS
Telecommunications:Telecommunications:Communication networks and fiber optic systems.
High frequency electronics:High frequency electronics:Microwave devices and components.
Optical communications.Optical communications.Optical Amplifiers Semiconductors
Instrumentation and control: Instrumentation and control: Non lineal robotics and control.
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CAPABILITIES IN CAPABILITIES IN TELECOMMUNICATIONS.TELECOMMUNICATIONS.
Telecommunications Telecommunications systems :systems :
oo WirelessWirelessoo Cellular telephonyCellular telephonyoo Mobile and personal Mobile and personal
communications PCScommunications PCSoo RF systems (VHF, UHF, RF systems (VHF, UHF,
Microwave and Microwave and millimetricmillimetricwaves).waves).
oo Global positioning systems Global positioning systems GPS.GPS.
oo Telemetry, command and Telemetry, command and control systems via control systems via satellite.satellite.
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CAPABILITIES IN CAPABILITIES IN TELECOMMUNICATIONS.TELECOMMUNICATIONS.
Data transmission:Data transmission:
oo LANs and LANs and WAN’sWAN’soo Media Access Media Access
techniques.techniques.oo New Modulation New Modulation
techniques.techniques.
Telecommunication Telecommunication networks:networks:
oo Network planning and Network planning and link calculations.link calculations.
oo MultipathMultipath analysis.analysis.oo Interference and Interference and
electromagnetic electromagnetic compatibility testing.compatibility testing.
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CAPABILITIES IN CAPABILITIES IN TELECOMMUNICATIONS.TELECOMMUNICATIONS.
Optical fibers:Optical fibers:
oo FO links (synchronous, FO links (synchronous, asynchronous, POS).asynchronous, POS).
oo Optoelectronic receivers Optoelectronic receivers and transmitters.and transmitters.
oo OAS implementationsOAS implementations
Microwave and Microwave and millimetricmillimetric wave wave systems:systems:
oo Satellite.Satellite.oo RadioastronomyRadioastronomy..oo Radars (VRAD).Radars (VRAD).oo Detectors.Detectors.oo Metrology.Metrology.oo Digital Digital microowavemicroowave radios radios
(point to point (point to point communications).communications).
oo Multipoint distribution Multipoint distribution systems (LMDS).systems (LMDS).
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Computer Science DepartmentComputer Science DepartmentApplied Physics Division
Research AreasResearch AreasqqNetworks and systemsNetworks and systems
qqArtificial IntelligenceArtificial Intelligence
qqDistributed and parallel computingDistributed and parallel computing
qqImage processingImage processing
qqScientific computingScientific computing
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Computational Biology : Sequencing and AlignmentComputational Biology : Sequencing and Alignment
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Artificial IntelligenceArtificial Intelligenceo Real-world combinatorial optimization problemso Pattern recognition with neural networks and
statistical learning
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Interconnection networkInterconnection network
MM MM MM MM
PP PP PP PP
Distributed and parallel computingDistributed and parallel computingoo Parallel computing modelsParallel computing modelsoo Design and analysis of parallel algorithmsDesign and analysis of parallel algorithmsoo Reconfigurable computingReconfigurable computing
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NetworksNetworks andand SystemsSystems
oo MobileMobile andand ubiquitousubiquitous computingcomputingoo NewNew generationgeneration Internet Internet technologiestechnologiesoo NetworkNetwork protocolsprotocolsoo DistributedDistributed systemssystems
oo CollaborativeCollaborative systemssystemsoo ProcessProcess engineeringengineeringoo Software Software engineeringengineeringoo Medical Medical computingcomputing
PDA cellphone
AD HOC
network
(c)
LAN(a)
Laptop
server printer
INTERNET
PC
server
Access point
PC
WLAN(b)Laptop
Access point
AD HOC
network
(d)
AP: Asistentedel médico
AL1: “Solicitudurgente”
AP
Rastrear elestado del
análisis
1:“Solicitud urgente”;2: NotifícameresultadosAL
Monitorear elestado de losanálisis
Laboratorista
AL
Agent container
2: “Análisis listos”
Use Scenario 3Health care environment
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Local adaptive filtering in the short-time transform domain• image restoration• noise supression, • enhancement with edge preservation
Range order filtering with adaptive neighborhoods
•Detection and location of objects in images withone or more components
Information retrieval:•Image restoration, •Deconvolution,•Inverse modeling
Data processing by cluster analysis, searches in large information systems
Image processingImage processing
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TelematicsTelematics DivisionDivision
Created to manage the Information Technologies (IT), Created to manage the Information Technologies (IT), empowering the innovation and quality to provide a reliable empowering the innovation and quality to provide a reliable and efficient service to CICESE users.and efficient service to CICESE users.
The The TelematicsTelematics Division main objectives are:Division main objectives are:Researching, developing, improving, and implementation of
new services, and additionally collaborate in strategic Information and Communications Technologies (ICT)
Projects
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TelematicsTelematics DivisionDivisionDepartmentsDepartments
oo ComputingComputingoo InformaticsInformaticsoo NetworkingNetworking
Operates, manage, and recommend the optimal IT infrastructure for CICESE
CICESE is the Mexico’s North West Internet2 access node
CICESE is the Conacyt Research Center Systems, National Video Conferencing Control Center
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TelematicsTelematics InfrastructuresInfrastructuresoo 2 supercomputers (Silicon 2 supercomputers (Silicon
Graphics, Graphics, SunFireSunFire))oo 4 Mbps Internet link4 Mbps Internet linkoo 34 Mbps Internet2 link34 Mbps Internet2 linkoo H.323 MCU (30 simultaneous H.323 MCU (30 simultaneous
sessions)sessions)oo ~60 Applications Servers~60 Applications Serversoo ~1757 data nodes, 800 voice ~1757 data nodes, 800 voice
nodesnodesoo ReserchReserch Areas….Areas….n Network managementn Grid Computingn VoIPn Web Videoconferencen Mobile Computingn Collaborative Systems
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CICESE Ensenada CICESE Ensenada HostingHosting AreaAreaTelematicsTelematics DivisionDivision
ooTelecommunication Site Telecommunication Site
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Centro de Investigación Científica y de Educación Superior de Ensenada, B.C.
www.cicese.mx
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o Networks and ICT services Management
o Virtual Realityo Ubiquitous and Mobile
Computing.o Development of Multicast
and Unicast systems o Videoconferencing and
VoIP (H.323)o IP billing, and accountingo Administrative and
Accounting Systems. o Data Bases Managingo Participation in the
implementation of the CUDI national academic Grid
o Conacyt nationals Internet2 and VOIP projects Coordination
o Internet2 QoS Working Group Coordination
o Implementation and Coordination of ConacytResearch Centers National Videoconferencing Network
o VirtualCal Collaborative System.
o Participation in the CUDI Security Working Group
o Implementation of IP Billing and Accounting systems
o Education on all above areas
Projects under DevelopmentProjects under Development
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Applying ITC’s:Applying ITC’s:Geophysical data integration Geophysical data integration in the border regionin the border region
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The IT capabilities, GIS & Remote The IT capabilities, GIS & Remote Sensing Lab Sensing Lab
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UCSD UCSD -- CICESE Project ObjectivesCICESE Project Objectives
o To present the California-Baja California transborder region through new media as a unit space, enclosed in the same geography.
o To present its transformation in time through projected morphs of historical maps, satellite and aerial imagery.
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RWBC :Collaborative network of university and community based partners dedicated to enabling sustainable city-region development.
Promote multidisciplinary research.
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3D regional canvas for the Californias 3D regional canvas for the Californias
oo Digital topographic and Digital topographic and bathymetric model of bathymetric model of Southern California Southern California and Northern Baja and Northern Baja
oo Terrain relief, land and Terrain relief, land and sea floor as framework sea floor as framework
oo Merging data from US Merging data from US and Mexican sourcesand Mexican sources
oo US geological survey (USGS).US geological survey (USGS).oo INEGI Mexican mapping agency.INEGI Mexican mapping agency.oo SCRIPPS Institution Oceanography (SIO), SCRIPPS Institution Oceanography (SIO),
US bathymetric dataUS bathymetric dataoo CICESE Mexican bathymetric dataCICESE Mexican bathymetric dataoo LandsatLandsat 7 imagery7 imagery
Data from:
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USGSNASALand
INEGILand
CICESESea
SCRIPPS/SIOUCSDSea
USA
Mexico
Digital Elevation Model (DEM) Digital Elevation Model (DEM) Data IntegrationData Integration
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Sustainability Science
+New Regionalism
+Information & Visualization Technology
+Env. Justice Equity
San Diego-Tijuana City-Region
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Applying ITC’s in the oil Applying ITC’s in the oil industryindustry
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PresentlyPresently
ooCICESE develops several projects for CICESE develops several projects for oil industry.oil industry.ooData processing and theirs analysis Data processing and theirs analysis
actually are realized in PC using actually are realized in PC using standard visualization techniques.standard visualization techniques.ooThis project will move the “exploration This project will move the “exploration
site” to the “production site” site” to the “production site” (discovery to recovery)(discovery to recovery)
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Data :Data :
PEMEX 80’s Seismic multichanel ~ 3,600 km, 35 lines fold 48, 6.144 s TD
Processing at CICESE: • Filtering • Velocity analysis• Spheric divergency• NMO • Predictive
Deconvolution• Migration
• 9 Marine perforations PEMEX
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Potential Methods
• Geophysic-Marine data compilation: Bathimetric, magnetometric and Gravimetric.
• 2D Model Interpretation
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PerfilPerfil KinoKino. . DensidadDensidad [g/cm³] [g/cm³] susceptibilidadsusceptibilidad magnéticamagnética [[cgscgs]]
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Oil Field Proyection Line 5024Line 5024
32450 500 550 600 650 700 7502900
2950
3000
3050
3100
3150
3200
-115º W
Real Time Monitoring, Real Time Monitoring, Analysis and Analysis and Collaborative Collaborative Operations Operations ManagementManagement Oil fields Oil fields in remote areas in remote areas
Transfer of Geophysical data in remote areas.Transfer of Geophysical data in remote areas.
RealReal--time monitoring time monitoring of seismic and of seismic and electromagnetic electromagnetic activityactivity
as well as
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ObjectiveObjectiveoo Provide an IT infrastructure to interactively Provide an IT infrastructure to interactively
visualize, analyze, and correlate data from remote visualize, analyze, and correlate data from remote locations in collaborative projects, with applications locations in collaborative projects, with applications in the oil industry.in the oil industry.ooWill allow oil industry to participate in Will allow oil industry to participate in
collaborative project and transfer files between collaborative project and transfer files between networks host directly at many times faster networks host directly at many times faster from multiple storage sites connected to optical from multiple storage sites connected to optical networks, providing management of massive networks, providing management of massive amount of data with advance visualizations amount of data with advance visualizations tools.tools.
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96-00896
Field Management Office
Data Hub
Simple oilfield sensor systemSimple oilfield sensor systemStatic and Dynamic Data Fusion in Real Time
From Distributed Sensors, to a Distributed OperationStatic and Dynamic Data Fusion in Real Time
From Distributed Sensors, to a Distributed Operation
New Field DevelopmentMid- late-life field rejuvenationNew Field DevelopmentMid- late-life field rejuvenation
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Visualization LabVisualization Lab
ooView and interact View and interact with data and with data and devices regardless devices regardless of source and of source and locationlocation
ooShare, collaborate Share, collaborate and communicate and communicate with remote partieswith remote parties
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Thank you