Data Reduction Clause Samples

Data Reduction. Data from measurements for NOx from the verification test will be reported in: • Parts per million by volume (ppmv), and • ppmv corrected to 15 percent O2. One-minute average NOx concentration values will be recorded by Labtech Notebook. Test run averages will be calculated from the valid readings at each of the eight traverse points. (1) ▇▇▇ ▇▇▇▇, Test Technician (2) ▇▇▇▇▇ ▇▇▇▇▇▇▇▇▇▇, Task Leader (3) Data check person Pretest QA activities (1) NO2 converter efficiency Preliminary O2 traverse Response time check Check QA results (2) Pass/Fail Pass Pretest calibrations (1) Fail Pass/Fail (1) Data backup Collect NOx data during test run (1) Pass/Fail (1) Fail Pass Average run data NOx conc. value (1) No Yes End of day No Final test run Yes Fail Repeat run Change operation for next run (2) Fix system (1) (2) Fix system (1) (2) Fix system (1) (2) Next test day Pass � Pack up equipment (1) � Copy electronic & paper data (2) � Keep original data (1) � Keep copy data (2) � Travel home (1, 2) Run Invalid

Data Reduction. (a) The data from each brake application prescribed in paragraph 3.(e) above is filtered using a five-point, on-centre moving average for each data channel. (b) For each brake application prescribed in paragraph 3.(e) above, determine the slope (brake factor) and pressure axis intercept (brake hold-off pressure) of the linear least squares equation best describing the measured torque output at each braked wheel as a function of measured line pressure applied at the same wheel. Only torque output values obtained from data collected when the vehicle deceleration is within the range of 0.15 g to 0.80 g are used in the regression analysis. (c) Average the results of paragraph (b) above to calculate the average brake factor and brake hold-off pressure for all brake applications for the front axle. (d) Average the results of paragraph (b) above to calculate the average brake factor and brake hold-off pressure for all brake applications for the rear axle. (e) Using the relationship between front and rear brake line pressure determined in paragraph 3.(i) above and the dynamic tyre rolling radius, calculate the braking force at each axle as a function of front brake line pressure. (f) Calculate the braking rate of the vehicle as a function of the front brake line pressure using the following equation: z ' T1 % T2 P . g where z = braking rate at a given front brake line pressure = braking forces at the front and rear axles respectively, corresponding to the same front brake line pressure (g) Calculate the adhesion utilized at each axle as a function of braking rate using the following formulae: f ' T1 1 P % z . h . P .g 1 E f ' T2 2 P & z . h . P . g

Data Reduction. Process and QA/QC all field data and import reduced date into project base map.

Data Reduction. Data reduction is the first phase in data analysis technique. That is the process of decreasing data that occurs on a regular basis. ―Reducing data involves summarizing, selecting the primary item, focusing on the vital things, and determining the topic and form.‖ Moleong (2006) At this stage, the researcher collects data from the result of students’ interview and observation as well. The outcome interview is selected and focus on the data reffering to the research problem based on students’ willingness to communicate in English language and what factors that affecting their willingness to communicate in English language. The unnecessary data is removed in this stage, and the necessary material is included. It is impportant for the next stage which was data display so there is no recurred data.

Data Reduction. Process and QA/QC all field data and import reduced data into project base map.

Data Reduction. Available published information and site‐specific data from the selected site will be compiled for inclusion in the Detailed Study and will be consistent with the information needed for the Engineering Report as required for permitting land application systems under the Florida Water Reuse Rule (Chapter 62‐610, F.A.C.), which will be prepared under Task 3.2 of this scope of work. Compiled published and site‐specific information will include the following:  Geologic information from available literature including information concerning sinkhole features within 1 mile of the selected site  Identification, extent, and characterization of shallow aquifer horizons and potential aquitard (low‐ permeability) horizons underlying the selected site.  Head relationships between aquifer horizons  Water table elevations at the time of hydrogeologic investigation 4 WT0208161131TPA GENERAL SCOPE OF SERVICES – WETLAND GROUNDWATER RECHARGE PARK: DETAILED STUDY, DESIGN, AND PERMITTING SERVICES  Water balance data from infiltration testing  Estimated directions and rates of groundwater movement  Information on existing water supply ▇▇▇▇▇ (and monitoring ▇▇▇▇▇, as appropriate) within 1 mile of the selected site

Data Reduction. The method of selecting, focusing, simplifying, abstracting, and transforming the data that appear in written-up field notes or transcriptions is known as data reduction. To reduce the amount of data significantly, it must first be structured. In this instance, a written transcript was created using the information from the observation and interview. The transcript was then examined to identify the utterances that were thought to exhibit the cod-mixing phenomenon and those that were not. The researcher made a video recording during the learning process carried out by the teachers in the classroom, then the researcher transcribed it into written form to make it easier for researchers to analyze the data.

Data Reduction. Raw data will be collected for each one-hour test period and averaged. Data reduction periods will not exceed one hour to minimize the impact of varying ambient conditions. Test calculations will be performed on a one-hour basis. Some raw data may include corrections for instrument laboratory calibration data if the corrections can be performed automatically in the DCS or DAS.

Data Reduction. A software module will be implemented for simplifying geometric data with textures and appearance information. The simplification will create a progressive data structure that can be saved to special file format.