RESOURCE ALLOCATION AND RISK MODELING FOR GEOGRAPHICALLY DISTRIBUTED ASSETS
PROBLEM TO BE SOLVED: To solve such a problem that some asset portions do not possess addresses or representative geographical borders which can be used for significantly identify features of risk exposures corresponding to the asset portions.SOLUTION: A risk exposure model is developed for network...
Gespeichert in:
| Hauptverfasser: | , , , , |
|---|---|
| Format: | Patent |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext bestellen |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | |
|---|---|
| container_issue | |
| container_start_page | |
| container_title | |
| container_volume | |
| creator | MONALISA SAMAL DAVID CARTTAR JORDAN BYK CHRISTOPHER SAMS SURENDER KUMAR |
| description | PROBLEM TO BE SOLVED: To solve such a problem that some asset portions do not possess addresses or representative geographical borders which can be used for significantly identify features of risk exposures corresponding to the asset portions.SOLUTION: A risk exposure model is developed for network or movable assets not specific to a single fixed address or location. An asset map using a plurality of geographic representation points is used to identify physical locations of asset portions. Baseline geographic, geologic, political, and demographic data is similarly represented by using geographic representation points. Meta-data associated with each geographic representation point is used to identify details related to the asset or baseline feature at its geographic location. Risk exposure values are then calculated by using the geographic representation points specific to the asset portions that are subject to risks associated with the location of the asset portion. |
| format | Patent |
| fullrecord | <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_JP2014179093A</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>JP2014179093A</sourcerecordid><originalsourceid>FETCH-epo_espacenet_JP2014179093A3</originalsourceid><addsrcrecordid>eNrjZPAOcg32Dw1ydlVw9PHxd3YM8fT3U3D0c1EI8gz2VvD1d3H18fRzV3DzD1Jwd_V3D3IM8PB0BiqNVHDxDA4J8nQKDXF1UXAMDnYNCeZhYE1LzClO5YXS3AxKbq4hzh66qQX58anFBYnJqXmpJfFeAUYGhiaG5pYGlsaOxkQpAgAAPi5f</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>RESOURCE ALLOCATION AND RISK MODELING FOR GEOGRAPHICALLY DISTRIBUTED ASSETS</title><source>esp@cenet</source><creator>MONALISA SAMAL ; DAVID CARTTAR ; JORDAN BYK ; CHRISTOPHER SAMS ; SURENDER KUMAR</creator><creatorcontrib>MONALISA SAMAL ; DAVID CARTTAR ; JORDAN BYK ; CHRISTOPHER SAMS ; SURENDER KUMAR</creatorcontrib><description>PROBLEM TO BE SOLVED: To solve such a problem that some asset portions do not possess addresses or representative geographical borders which can be used for significantly identify features of risk exposures corresponding to the asset portions.SOLUTION: A risk exposure model is developed for network or movable assets not specific to a single fixed address or location. An asset map using a plurality of geographic representation points is used to identify physical locations of asset portions. Baseline geographic, geologic, political, and demographic data is similarly represented by using geographic representation points. Meta-data associated with each geographic representation point is used to identify details related to the asset or baseline feature at its geographic location. Risk exposure values are then calculated by using the geographic representation points specific to the asset portions that are subject to risks associated with the location of the asset portion.</description><language>eng</language><subject>CALCULATING ; COMPUTING ; COUNTING ; DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES ; PHYSICS ; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR</subject><creationdate>2014</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20140925&DB=EPODOC&CC=JP&NR=2014179093A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,776,881,25542,76290</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20140925&DB=EPODOC&CC=JP&NR=2014179093A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>MONALISA SAMAL</creatorcontrib><creatorcontrib>DAVID CARTTAR</creatorcontrib><creatorcontrib>JORDAN BYK</creatorcontrib><creatorcontrib>CHRISTOPHER SAMS</creatorcontrib><creatorcontrib>SURENDER KUMAR</creatorcontrib><title>RESOURCE ALLOCATION AND RISK MODELING FOR GEOGRAPHICALLY DISTRIBUTED ASSETS</title><description>PROBLEM TO BE SOLVED: To solve such a problem that some asset portions do not possess addresses or representative geographical borders which can be used for significantly identify features of risk exposures corresponding to the asset portions.SOLUTION: A risk exposure model is developed for network or movable assets not specific to a single fixed address or location. An asset map using a plurality of geographic representation points is used to identify physical locations of asset portions. Baseline geographic, geologic, political, and demographic data is similarly represented by using geographic representation points. Meta-data associated with each geographic representation point is used to identify details related to the asset or baseline feature at its geographic location. Risk exposure values are then calculated by using the geographic representation points specific to the asset portions that are subject to risks associated with the location of the asset portion.</description><subject>CALCULATING</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES</subject><subject>PHYSICS</subject><subject>SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2014</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZPAOcg32Dw1ydlVw9PHxd3YM8fT3U3D0c1EI8gz2VvD1d3H18fRzV3DzD1Jwd_V3D3IM8PB0BiqNVHDxDA4J8nQKDXF1UXAMDnYNCeZhYE1LzClO5YXS3AxKbq4hzh66qQX58anFBYnJqXmpJfFeAUYGhiaG5pYGlsaOxkQpAgAAPi5f</recordid><startdate>20140925</startdate><enddate>20140925</enddate><creator>MONALISA SAMAL</creator><creator>DAVID CARTTAR</creator><creator>JORDAN BYK</creator><creator>CHRISTOPHER SAMS</creator><creator>SURENDER KUMAR</creator><scope>EVB</scope></search><sort><creationdate>20140925</creationdate><title>RESOURCE ALLOCATION AND RISK MODELING FOR GEOGRAPHICALLY DISTRIBUTED ASSETS</title><author>MONALISA SAMAL ; DAVID CARTTAR ; JORDAN BYK ; CHRISTOPHER SAMS ; SURENDER KUMAR</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_JP2014179093A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>eng</language><creationdate>2014</creationdate><topic>CALCULATING</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES</topic><topic>PHYSICS</topic><topic>SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR</topic><toplevel>online_resources</toplevel><creatorcontrib>MONALISA SAMAL</creatorcontrib><creatorcontrib>DAVID CARTTAR</creatorcontrib><creatorcontrib>JORDAN BYK</creatorcontrib><creatorcontrib>CHRISTOPHER SAMS</creatorcontrib><creatorcontrib>SURENDER KUMAR</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>MONALISA SAMAL</au><au>DAVID CARTTAR</au><au>JORDAN BYK</au><au>CHRISTOPHER SAMS</au><au>SURENDER KUMAR</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>RESOURCE ALLOCATION AND RISK MODELING FOR GEOGRAPHICALLY DISTRIBUTED ASSETS</title><date>2014-09-25</date><risdate>2014</risdate><abstract>PROBLEM TO BE SOLVED: To solve such a problem that some asset portions do not possess addresses or representative geographical borders which can be used for significantly identify features of risk exposures corresponding to the asset portions.SOLUTION: A risk exposure model is developed for network or movable assets not specific to a single fixed address or location. An asset map using a plurality of geographic representation points is used to identify physical locations of asset portions. Baseline geographic, geologic, political, and demographic data is similarly represented by using geographic representation points. Meta-data associated with each geographic representation point is used to identify details related to the asset or baseline feature at its geographic location. Risk exposure values are then calculated by using the geographic representation points specific to the asset portions that are subject to risks associated with the location of the asset portion.</abstract><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext_linktorsrc |
| identifier | |
| ispartof | |
| issn | |
| language | eng |
| recordid | cdi_epo_espacenet_JP2014179093A |
| source | esp@cenet |
| subjects | CALCULATING COMPUTING COUNTING DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES PHYSICS SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR |
| title | RESOURCE ALLOCATION AND RISK MODELING FOR GEOGRAPHICALLY DISTRIBUTED ASSETS |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-02T17%3A05%3A37IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-epo_EVB&rft_val_fmt=info:ofi/fmt:kev:mtx:patent&rft.genre=patent&rft.au=MONALISA%20SAMAL&rft.date=2014-09-25&rft_id=info:doi/&rft_dat=%3Cepo_EVB%3EJP2014179093A%3C/epo_EVB%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true |