SG1J Approved For Releas@2@yNpp/¢ LT) F Ky FRZR§-00788r001300270001-9 III DISCUSSION In the Grill Flame mid-year report, we demonstrated the use of a commercially available data-base management (DBM) program applied to two SG1J problems in RV data management. The first of these was the categorization and display of the results of a simulated RV analysis data base. Using the tentative assessment form, ‘which operating RV analysts had suggested, | WHO we analyzed 25 RVs each for 4 remote viewers. Table 1 shows a character- istic output from this data base, which is repeated here fron The column headings are the seven categories taken from the assessment (Oo WE HANE form. Under each category the remote viewers are listed in ascending - order of assessment averaged over all viewings to date for that category. For example, we note that remote viewer 007 was least successful at obtaining information about the geography of a site. However, when every thing is considered, remote viewer 007 had the best overall utility. This and similar information might have been overlooked with manual inspection, up 2 The row below the dashed lines contains the averages for each column, which NA ‘ can be considered as the "facility" assessment for each category. For example, the represented facility does best on geography elements and second best when targeted against activity at the remote site, In a second example, we have used a DBMS to organize and manage a growing number of training targets from the National Geographic (375 as of this report). Our RV enhancement effort currently involves four remote viewers, six interviewers, four target preparers, and numerous target selection criteria. With this level of complexity and a growing "DoD GRILL FLAME Progress Report (U)," presented at Mid-Year GF Meeting at DIA on 30 April 1981 (April 1981, SECRET). 3 CONFIDENTIAL Approved For Release 2000/08/07 : CIA-RDP96-00788r001300270001-9
TVILNIGI4NOD 3K « & x ‘+ x x * Approved For Release 2000/08/07 : CIA-RDP96-00788r001300270001-9 Table 1 RESOURCE ASSESSMENT SUMMARY (23 Apr 1981) Geography Elements Elements Ambience Activity Personnel Average of each column, Approved For Release 2000/08/07 : CIA-RDP96-00788r001300270001-9 Utility IWILNAIGIANOD
Approved For Release CLPREPT DEN PPR 07881001 300270001-9 number of targets, a DBMS was mandatory to avoid duplication and to provide target statistics, AS an example of the DBMS output, Table 2 shows a small portion of the existing data. The targets were selected solely on the basis of their use as calibrations for operational RV sessions, They are displayed chronologically as a demonstration of a sorting procedure. Both of the above DBM applications were done on a large-scale PRIME 750] poe iS th- computer using the PRIME Corporation's POWER+ packaged DBMS, In spite of eee THAT the computing power of the PRIME 750 and generality of POWER+, four THIS 35 Besar coMm- Specific problems were identified: This DBMS: MEXCIAL DBMS & (1) Did not allow for the formation of specific data iT WONT records that contained parts of separate records WORF. from the remaining data base, (2) Did not easily allow a change of data base. (3) Did not allow for tree structures, (4) Can be installed on the SRI International's PRIME 400 at a cost of $75,000 to $125,000. Table 1 is an example of the first problem described above. The simulated data base was entered and stored by grouping together all the parameters | ean from the analysis of a single remote viewer for a single operational \ hier session, Yet, to provide the summary information in Table 1, we must be collect scores and IDs from across many sessions. In fact, Table 1 was manually constructed to demonstrate a concept and was beyond the capability of POWER+, The second problem applies to both DBM examples. In developing the designs of the respective data bases, it was necessary to modify them in u progress to assure an optimum configuration, POWER+ requires that all the data be reentered into the new design, Although POWER+ has a file conver- UOHICL AS sion capability that makes possible reentry of data from a disc, it was MORK cumbersome; therefore, we decided to reenter the data manually. CPHIEEYS Orie 5 wrenie ¥ CONFIDENTIAL Approved For Release 2000/08/07 : CIA-RDP96-00788r001300270001-9
IVILNAGI4NOD 9 Latitude | Longitude Target Location a oa 3 3 3 1 1 2 2 2 2 3 3 3 3 3 3 6 6 6 6 6 6 6 6 7 8 8 8 8 9 9 & « Approved For Release 2000/08/07 : CIA-RDP96-00788r001300270001-9 42°34'N 11°26's 14° 00'N 12°30'N 21°38'N 31°30'N 18° 29'N 58°12'N 34° 40'S 45°30'S 22°30°N 51°13'N 41° 02'N 39° 44'N 35° 09'N 41° 50'N 00°14's 39°18'N 36°36'N 00° 19'N 37°37'N 13°32'S 28°59'N 51°29'N 29° 25'N 20°19'N 33°39'S 51°51'N 60° 00'N 03° 02'S 38° 22'N Approved For Release 2000/08/07 : CIA-RDP96-00788r001300270001-9 08° 44'r 53° 04'W 121° 00'E 70° 00'W 157° 04'W 35°30'E 66° 08 'W 06° 23 'W 58° 30'W 165°30'E 88°20'E 04°25'E 28°57'E 44°23'E 32°47'E 71° 28'W 78°30'W 76 38'°W 83° 40'W 32°35'E 79° 33'W 71°57'W 13° 40'W 00° 38'W 98° 30'W 103°10'W 78° 58'W 01° 21'W 152° 00'W 37°20°E 110°21'W & 4 t Table 2 TRAINING TARGET DATA (23 April 1981) Calvi, Corsica Campo de Diauarum, Brazil Lake Taal-Luzon, Phillipines Aruba Island, Lesser Antilles Oahu, Hawaii Dead Sea, Israel/Jordon SG1J San Juan, Puerto Rico Stornoway Lewis Is., Scotland Buenos Aires, Argentina Dusky Sound, New Zealand Calcutta, West Bengal-India Antwerp, Belgium Istanbul, Turkey Mt. Ararat, Turkey Vouni, Cyprus Providence, Rhode Island Quito, Ecuador Baltimore, Maryland Cumberland Gap, Kentucky-Tennessee-Virginia Kampala, Uganda Natural Bridge, Virginia Cuzco, Peru Montana del Fuego, Lanzarote Canary Island Windsor Castle, Windsor England San Antonio, Texas Chapala Lake, Mexico Robinson Crusee Is., Juan Fernandez Island Blenheim Palace, Oxon England Cook Inlet, Alaska Mt. Kilimanjaro, Tanzania Canyonlands Park, Utah 4 Puthoff Puthoff Puthoff Puthoff Puthoff Puthoff Puthoff Puthoff Puthoff Puthoff Puthoff Puthoff Puthoff Puthoff Puthoff Puthoff Put hoff Puthoff Puthoff Puthoff Puthoff Puthoff Puthoff FrFaounnnmmnwtmwmmwmeewsoenwrowanaraAananawanananaawan « Unknown Unknown Unknown Unknown Unknown Unknown Puthoff Unknown Harary Harary Harary Harary Harary Harary Harary Harary Harary Harary Harary Harary Harary Swann Swann Swann IVILNAGI4NOD Harary Swann Unknown Swann Swann Humphre y SG1J
Approved For ReleaseZ QQ F AAFPPAPEO0788r001300270001 -9 The third problem arises in a training evaluation environment, The target management data shown in Table 2 displays only a small portion of the data that is available for each of the targets. Each target is classified as to the principal type of target with regard to large-scale geographical features (e.g.; a body of water, an island, or a mountain), For purposes of evaluation, it is necessary to know details of each of these major features. For example, one may want to determine how many targets had "muddy streams" as the particular form of "water." POWER+ was incapable of providing this capability. Thus, only a coarse target classification was possible, A "tree-structured" data base is one of the easiest solutions for this problem, A properly designed tree structure allows for easy modification and simple implementation of complex searches such as the one described above. It is not that tree-structured data-base systems do not exist, Rather, they tend to be large (require large main-frame memories) and require fast processors. Typically, these data bases include a large number of features that are not required in our application and unneces- sarily burden the speed/memory requirement of the system, SQ NOU BUY TRE one + a . _ £E The deficiencies described here are not unique to POWER+ ach THAT BEST commercially available DBMS will have similar problems with regard to BOTS THE NEEDS our application, However, there are portions of our application that may have reduced requirements and can be solved with simple data-base manage-| BROAD ~ GENEPAU— ment systems, ZANOW VY 7 CONFIDENTIAL Approved For Release 2000/08/07 : CIA-RDP96-00788r001300270001-9