Radar Sample Clauses

Radar. For any radar equipment purchased under this contract, it is required that the operator of that equipment has successfully completed Radar Certification Training. A copy of this certificate must be filed with GHSP prior to reimbursement of radar equipment.
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Radar. 13.1. The function allows you to find free cars for ride in the radius specified by the User, inform the User about the availability of such cars and/or book a Car in the specified radius as soon as a free Car from carsharing (rental) appears.
Radar. Link slave 9-pin tally back incorrect The track arm status returned from RADAR to the 9-pin controller was incorrect for tracks 25-48. RADAR-Link slave mutes under 9-pin control RADAR was muting inappropriately during cueing and syncing. RADAR-Link slave out by 3.98 frames under 9-pin control In certain situations (involving 9-pin control) a RADAR-Linked slave would be offset by 3.98 frames from the RADAR-Link master. File Management Functions Quick Chart FILE MANAGEMENT FUNCTIONS DISK TYPE/FORMAT BACKUP TO RESTORE FROM IMPORT FROM EXPORT TO DELETE COPY PASTE MOVE RADAR Initialized HDD AUDIO • ARCHIVE 1• • • • • • • FAT 32 • • • • • • HFS Standard • • • • • • AUDIO • ARCHIVE 1,2• • • • • • • FAT 32 • • • • • • HFS Standard 3• ISO 9660 DVD-R & CD-R • • • • FLOPPY • • • • • • • •
Radar. This interface provides radar video, trigger and azimuth information to the ECPINS-M and is required with the Route Planning System. Each ECPMS-M shall interface with one of the following ARPA Radars: Raytheon Pathfinder/ST (4 IRO Class ships), Xxxxxx Xxxxx - Type 1007 (12 HFX Class ships), Racal-Decca - Bridge Master 250 (2 PTR Class Ships) or Xxxxxx Xxxxx Nucleus Radar System (12 KIN Class ships). The signals from the radar will be as follows:
Radar. For any radar equipment purchased under this agreement, it is required that the operator of that equipment has successfully completed Radar Certification Training.
Radar. The radar chart graphically represents the level of completeness of the answers in the selected questionnaire according to the DPSIR model. Consequently the questionnaries classification of completeness is split on five macro skills: • Drivers (D) • Pressures (P) • State (S) • Impact (I) • Response (R). For each of the five skills four levels of completeness have been defined: • Level 0 - the skill is not included in the questionnaire analysed • Level 1 - low • Level 2 - medium • Level 3 - hight. When it is not possible to assign a level of completeness of the answers in the questionnaire a no level is assigned. Figure 12 shows an example of a radar chart build with data from a particular questionnaire. The assignment of the level for each skill is based on the answers given to specific questions: assignment rules for the different classes of completeness are listed in Table I (please refers to WP3 for details). Figure 12: Example of a radar chart. Table 1: Assignment rules for the DPSIR model completeness. DPSIR LEVEL LEVEL DESCRIPTION (IN WP3) QUESTIONNAIRE RELATED QUESTION (IN WP2) D LIV0 not implemented Topic1, Question 2.1 oand 2.2 and 2.3 and 2.4 (no answer) LIV1 top-down approach, using coarse spatial and temporal allocation schemes Topic1, Question 2.1 or 2.2 (any answer). No answer at 2.3 and 2.4 LIV2 bottom-up approach assumptions with generic (i.e. national/aggregated) Topic1, Question 2.3 (any answer). No answer at 2.4. LIV3 bottom-up approach with specific (i.e. local/detailed) assumptions Topic1, Question 2.4 (any answer) P LIV0 not implemented Topic1, Question 3 (no answer) and Topic2, Question 7.1 (no answer, for all models) LIV1 emissions estimated for rough sectors on a coarse grid (spatialization), using top-down methodology Topic2, Question 7.2 (‘top-down’). If at least one model with different answer, go to LIV2 or LIV3 LIV2 combination of bottom-up and top-down methodology Topic2, Question7.2 (‘bottom-up’ or ‘combined’) If more than 1 model, look at least for one answer like this. LIV3 emissions calculated with the finest space and time resolution available (fine grid), with the bottom-up method with the SNAP finest levels. Topic2, Question 7.2 (‘bottom-up’ or ‘combined’) Topic2, Question 7.3bis (‘local data’ or ‘traffic count…’). If more than 1 model, look at least for one answer like this. S LIV0 not implemented Topic2, Question 4 (‘none’). and Topic2, Question 9 (no answer) LIV1 measurements are used Topic2, Question 4 (‘none’). an...
Radar. The Radar framework was developed in the Australian context through the work of Barrelle (2015). This framework is aimed at specific individuals deemed at risk by assessing 5 areas: social relations, coping, identity, ideology and criminal action orientation (Trivalent Project, 2017) all assessed through observable behaviours. The application of Radar is split in two different moments: one when the individual is deemed at risk and the other, in case the individual is also confirmed as ‘at risk’ by the initial screening, when a deeper risk assessment is carried out to design a ‘management plan’ (xxx xxx Xxxxx, xxx xxx Xxxx, xxx Xxxxxxxxxx, 2019). TRAP-18
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Radar. ‌ The following issues have to be considered when choosing radar: • Operating environment • Cooling • Mounting • Logging of data • Measuring range • Accuracy • Price Several radar suppliers are contacted to find a suitable radar. However, as Elkem has a VEGAPULS 62 radar available in storage, this is chosen as the pilot. The VEGAPULS 62 radar has a measuring range up to 35 m and an accuracy of ± 2 mm. The maximum process temperature is 450 °C, while the maximum ambient temperature is 80 °C.
Radar. Figure 2: Sensor data associations for the EUROPA platform. The selected associations are listed in section 2.3 For the external calibration of the IMU and Odometry relative to the 3D sensors stereo camera, 3D LIDAR and Radar we will build on the fact that all of them are able to (partially) observe the 3D motion of the platform due to there self associations. The assumption that they all observe their own movement while being rigidly connected yields the possibility to infer (partially) the extrinsic calibration.
Radar. Antenna Parameters: • Antenna type: K-Band • RF Frequency: 24,150GHz + 50 MHz • Nominal Beam width: 12º • Nominal Power Out: 10mW • Supply Voltage: 10.8VDC - 24VDC • Nominal Current Draw: 180mA • Environmental Conditions: • Operating temperature: -22ºF to +158ºF • Maximum Humidity: 100%
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