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Instead of loading a stream into a byte array and writing it to the response stream, you should have a look at HttpResponse.TransmitFile the application Next, the test subjects went through the application again while being videotaped No corrections were made to dictated text during the videotaping This allowed the tracking of voice dictation accuracy for each user with a new speech pro le Test subjects completed the entire process in an average of 2 hours Afterward, each test subject completed a questionnaire to determine user demographics, utility and quality performance, system interface, hardware, information management, and overall system satisfaction and importance This survey instrument also allowed the test subjects to record any problems and suggest improvements to the system Data with built-in intelligence techniques recorded any problems that the test subjects encountered in the survey instrument Autonomics were employed by the VAMTA development team, to document bugs in the tracking system, and targeted by the test architect for the appropriate problem solving action The performance of VAMTA during testing was measured in terms of voice accuracy, voice accuracy total errors, duration with data entry by voice, and duration with data entry by keyboard and mouse Viewed together, these statistics provide a snapshot of the accuracy, speed, and overall effectiveness of the VAMTA system Each test subject s printout was compared with a test script printout for accuracy When discrepancies occurred between the subject s printout and the test cript, the printouts were compared with the automated video recordings to determine whether the test subjects said the words properly, stuttered or mumbled words, and/or followed the test script properly Misrecognitions occurred when the test subject said a word properly and the speech program recorded the wrong word This automated regulatory environment provided a solid baseline for the lab experiments and led to the following results The accuracy of voice recognition, con rmed by videotaped records of test sessions, averaged 976%, with 6 misrecognitions (Table 41) The minimum average voice recognition was 85%, with 37 misrecognitions The maximum average voice recognition was 996% with 1 misrecognition Median voice recognition was 984%, with 4 misrecognitions. offset of Eat1 string into DX ; and display it. .Figure 91: Calling a procedure and returning This should remind you strongly of how software interrupts work The main difference is that the caller does know the exact address of the routine it wishes to call Apart from that, it's very close to being the same process (Also note that RET and IRET are not interchangeable CALL works with RET just as INT works with IRET Don't get those return instructions confused!) The structure of a procedure is simple and easy to understand Look at the Write procedure from EAT2ASM Write: mov AH,09H int 21H ret. ECC200 Encoder In Java Using Barcode generator for Java .Related: Generate QR Code .NET Data, Create Data Matrix .NET , Print PDF417 .NET You'll find yourself writing sequences like this a lot, when a single test decides between one of two courses of action One course here is to load the value 5 into AL, and the other course is to load 4 into AL Notice that after the appropriate MOV instruction is executed, a RET takes care of passing execution back to the caller If DispID were not a procedure, but simply a sequence coded into the main line of instructions, you would need an unconditional jump (JMP) after each MOV to continue on with instruction execution somewhere else in the program Using RET is much neater-which is yet another reason to wrap up small tasks such as display adapter identification in a procedure wrapper Finally if neither PS/2 nor EGA are present, DispID realizes that, by default, one of the original generation of display boards is on the bus Telling MDA from CGA is not done with a BIOS call at all, because the first generation BIOS did not know which display board was present (That was a feature instituted with the EGA in 1984) Instead, there is a separate software interrupt, 11H, that returns machine configuration information. 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Obviously, this produces a sub-optimal calibration of resistance factors in the geotechnical side of the LRFD code, because load and resistance factors should be jointly determined or optimized in the calibration procedure. n the other hand, adopting the structural load factors in the geotechnical design provides consistent load factors across the structural and geotechnical parts of the codes, since, after all, the load factors in both the structural and geotechnical parts of the code apply to the very same live and dead loads. Load factors associated with earth pressures on structural elements, taken from the AASHTO code are shown in Table 18.6. It is important to note that most work to date on LRFD for geotechnical design has focused on foundation design. This focus has been driven by the desire to develop geotechnical sections within codes primarily concerned with structural engineering, for example the AASHTO codes for highway bridges or the National Institute of Standards and Technology model codes for building structures (Ellingwood et al. 1980). Thus, most of the work on LRFD for geotechnical applications has enjoyed a more or less clear separation and presumably a probabilistic independence between (structural) loads and (soil or rock) resistances. In the arena of earth structures, such as retaining structures and embankments, this separation is no longer so obvious. Loads depend on soil properties such as density and groundwater levels, but so, too, do resistances. The development of LRFD procedures for these other design considerations in geotechnical engineering will be more complex. 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