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Wednesday, July 29, 2020 | History

1 edition of An experiment in voice data entry for imagery interpretation reporting found in the catalog.

An experiment in voice data entry for imagery interpretation reporting

Gregory T. Jay

An experiment in voice data entry for imagery interpretation reporting

by Gregory T. Jay

  • 230 Want to read
  • 4 Currently reading

Published by Naval Postgraduate School in Monterey, California .
Written in English


ID Numbers
Open LibraryOL25526822M

1) Data Entry: This involves getting your raw data into a computer so that you can store it and retrieve it for analysis. It includes two steps: a. Entry: Data should be entered into a computer data management application. b. Validation: The entered data must be checked against the field and lab sheets to assure that it has been entered correctly. Computerized voice recognition has existed in the medical profession for more than 30 years but has only recently been widely adopted in radiology because of vast improvements in computer hardware and software [1, 2].Voice recognition has been proposed as a technology that promises quicker and less expensive report generation and improved workflow.

  To call in the statistician after the experiment is done may be no more than than asking him to perform a post-mortem examination: he may be able to say what the experiment died of. – Ronald Fisher Too often we forget that genius, too, depends upon the data within its reach, that even Archimedes could not have devised Edison’s inventions. Both methods allow for the use of random digit dialing, and data entry while the interview is conducted. The computer-administered mode, however, does not use a human interviewer. The questions are voice-synthesized and respondents answer using touch-tone data entry, voice recognition, or automatic speech recognition.

A prezi with an explanation of the analysis and evaluation of imagery in literature, followed by a related exercise. Designed as part of AiFL approach. this book, we analyze and interpret the findings of the research that we have conducted. It must be stressed that analyzing and interpreting are highly intuitive processes; they are certainly not mechanical or techni-cal. The process of qualitative data analysis and synthesis is an ongoing one, involving continual reflection about the findings and.


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An experiment in voice data entry for imagery interpretation reporting by Gregory T. Jay Download PDF EPUB FB2

Voice Data Entry Imagery Interpretation Intelligence Experiment CT V1 (Censm" an fewww sde It n SAW 0" illenta ef feek enyWwe):i @ intelligence This thesis order investigated of battle the reporting.

feasibility Time, of accuracy, voice data and entry efficiency for imagerywere. Full text of "An experiment in voice data entry for imagery interpretation reporting." See other formats.

Approved for public release; distribution is unlimitedThis thesis investigated the feasibility of voice data entry for imagery intelligence order of battle reporting. Time, accuracy, and efficiency were measured for 20 subjects in an experiment physically simulating the use of a light table, optics, and an interactive computer system for : Gregory T.

Jay. specialist and Imagery Analyst I have over 32 years experience of advising on imagery analysis issues and producing Imagery Analysis reports from all types of imagery.

My experience and qualifications are detailed at Annex 2 of the attached report. On 18 November the scanned images listed in Annex 1 to this report were received. In order to take advantage of and make good use of remote sensing data, we must be able to extract meaningful information from the imagery.

This brings us to the topic of discussion in this chapter - interpretation and analysis - the sixth element of the remote sensing process which we defined in Chapter 1. Interpretation and analysis of remote.

“Passive voice” is when the subject of a sentence is the recipient of the action. For example: Coffee was given to the students. “Active voice” is when the subject of a sentence performs the action.

For example: I gave coffee to the students. The merits of using passive voice are obvious in some cases. This contrasting imagery is representative of the class divide that is present in this dystopian future.

While a few people are living wealthy lifestyles, most are slumming through the city, trying to make it through each day without starving.

Image interpretation process 1. Study existing information 2. Select image material depending on purpose and scale for presentation 3. Create an interpretation key, what should be included and how it looks like – definitions, including smallest mapping unit (area, width, length) 4.

Collect training data 5. Identify object, classify 6. Image interpretation & analysis Elements of Visual Interpretation As we noted in the previous section, analysis of remote sensing imagery involves the identification of various targets in an image, and those targets may be environmental or artificial features which consist of points, lines, or areas.

to collect data. Experiments are more suitable for Honestly report data, r esults Strive to avoid bias in experimental des ign, data analysis, data inte rpretation, peer. review. allows for more effective data entry and analysis. Coding of ‘open’ questions involves drawing up a list of categories (a ‘coding frame’) into which answers can be allocated or ‘coded’.

This process is time-consuming and requires careful attention. Data entry Coded data can. Interpretation Photo Interpretation: The examination of aerial photographs/images for the purpose of identifying objects and judging their significance.

Observation & Inference: Observation provides the raw data for interpretation. Inference is the logical process by which observation and interpretation. To write an experimental report or lab report, you should first read published articles of that type.

Once you are familiar with the style, you can start writing. Data Analysis Publication Planning Authorship in Research Give a detailed explanation of how the experiment was conducted and the materials used.

Make sure you include every. Here is an example of use of Landsat imagery in a National Park setting. This is the interior of Grand Canyon National Park’s visitor center. Rangers chose Landsat imagery to convey the enormity and the grandeur of the Canyon.

Images below the satellite image depict ground-based views keyed to locations on the satellite map. The accurate, voice entry of radiologic reports into a computer takes significantly longer than entry by keyboard.

Careful speech and considerable patience are required to avoid an unacceptably high error-rate. With improvements in the future, this technology may compete with the conventional technology. Image interpretation produces datasets delineating features identified in the imagery.

These datasets can be the primary mapping products or can be used an ancillary data for further analysis, such as training data for supervised classification. However, Braunstein and Anderson () ran an experiment on data entry and found their subjects preferred keyboard data entry and did not like voice data entry.

Again, Crane () compared voice and touch screen for data entry on a C 3 display and found no advantage for voice. Recently Lambert () has written a useful review of the general. Analyzing and interpreting the results of an experiment can be a confusing process, and it's easy to make mistakes.

This lesson will help you understand the important factors of experiment analysis. Data is cheaper. Smartphones and tablets have a very high diffusion in society. Visuals are ever cheaper to print, like in print on demand book.

And, the appetite seems to be growing. Video, for example, is expanding (though its success is arguable). From the content producer end, video makes sense. Image interpretation keys (historically referred to as photo interpretation keys) are designed to aid in the identification of features.

Image interpretation keys are typically project specific, and are most often employed in those cases where a group of image analysts are interpreting individual areas, but must generate a consistent product. record pertinent information and/or features if no data element or choice list entry exists.

Record such information as free-hand notes under Miscellaneous Field Notes. Changes: Soil science is an evolving field. Changes to this Field Book should and will occur. Please send comments or suggestions to the Director, National Soil Survey Center, USDA.Science experiment procedural texts will include apparatus such as Bunsen burners, test tubes, litmus paper etc.

Regardless of the specific purpose of the text in question, the resources listed in this section will usually be presented in the order they will be used, as far as this is relevant or possible.

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