Model Description. FCB-FF3W1 EO/OE Box with SMPTE HFO Connector (Female) FCB-FM3W2 EO/OE Box with SMPTE HFO Connector (Male) FCB-OF3W1 EO/OE Box with Japanese HFO Connector (Female) FCB-OM3W2 EO/OE Box with Japanese HFO Connector (Male) ★ ★ ★ ★ Key Features and Benefits • All-in-one solution EO/OE modules and power unit • Ideal for outside broadcasting • Maximizing existing HFO camera assemblies • Flexible configuration for EO/OE modules • AC and DC input redundancy ★ Production by order EO/OE Config. SDI1 Slot EO-100 OE-101 EO-100 OE-101 SDI2 Slot OE-101 EO-100 OE-101 EO-100 HFO Connector Canare FCFR (SMPTE, Female) Canare FCMR (SMPTE, Male) Canare OCFR(Jananese, Female) Canare OCMR (Japanese, Male) SDI I/O Connector 2x 75 ohm BNC EXT Connector 2x XLR3 Female 2x XLR3 Male 2x XLR3 Female 2x XLR3 Male Power Requirement AC100 to 240V, DC 12V Power Consumption Max. 10W Power Connector AC3P Jack XLR4 Male (DC) Operating Temperature 0 to 40°C Dimensions 210x 44x 240mm Weight 1300g Fiber-Optic Systems Canare Cable Checker allows fast, easy confirmation of HFO cables in the field. No heavy equipment to drag around. The compact design features a backlight digital display to measure optic loss/power and electrical continu- ity. Small and light, Canare cable checker helps make mobile installations smooth, secure and constant. FCT-FCKIT FCT-FC FCT-FCLB FCT-OCKIT FCT-OC FCT-OCLB Connectors Key Features and Benefits • Compact, hand-held design • Measured optical loss and power in addition to electrical signals • 2x AA, 20 hours battery life • The kit includes TB-3 storage case, soft cases, AA Batteries, and cleaning sticks Cables Specifications Connector SMPTE/ARIB (Canare FC Series) JAPANESE (Canare OC Series) LD XX-XX Wavelength 1310nm Sensitivity -24 to -2dBm Maximum Length 3.5km (Xxxxxx XX-2SM9R) Optic Lines Two Lines: Power and Loss Copper Lines Power, Control, and Shield: Connectibility Battery/Life 2pcs of AA/ Approx. 20hours Operating Temperature -10 to 60°C Dimensions FCT-FC/OC: 46x 46x 150mm FCT-FCLB/OCLB: 46x 46x 65mm Weight FCT-FC/OC: 380g FCT-FCLB/OCLB: 170g Accessories Included TB-3 storage case, soft cases, AA Batteries, and cleaning sticks Panels & Patchbays CE, FCC, FDA registered FCT-FCLB Hybrid Camera Cable FCT-FC Multichannel Systems United States Patent No.7,113,678 Patent pending in Japan Cable Assemblies Loop-back Quick Reference (Typical Attenuation Value) Under 200m 1.2 2.2 3.2 4.2 5.2 6.2 7.2 8.2 9.2 10.2 11.2 12.2 13.2 14.2 15.2 500m 1.5 2.5 3.5 4.5 5.5 6.5 7.5...
Model Description. The interface agreement in the Min-max case consists of the repair shop having to maintain the inventory level of the Ready-For-Use parts equal to or above a minimum level. The control mechanism of the repair shop is a priority rule, based on the inventory level of SKUs, to adhere to this agreement. The priority rule used is taken into account in the model. The exact priority rule will be explained later on in this section. Inventory control specifies the turn-around stock and minimum levels for every SKU. The values for the turn-around stock and minimum levels are input parameters of the model. . The model developed has five input variables which are unique characteristics for a SKU: These values are needed as input parameters for the different elements in the model. In the following subsections, different sub processes are explained in more detail.
Model Description. The model which uses the Lead-time interface agreement is similar to the model which makes use of the Min-max interface agreement. In the Lead-time interface agreement it is agreed that the repair shop must repair parts within a given lead-time. There are two kinds of lead-times, a regular lead-time and an emergency lead-time. The agreement specifies also the length of the regular lead-time and the emergency lead-time and what percentage of parts can get an emergency lead-time.
Model Description. The purpose of the Professional Growth Option (PGO) is professional growth and improvement for the employee and student achievement. The PGO is a voluntary evaluation model that provides employees instructional improvement opportunities based on a plan developed from specific goals.
Model Description. The binary classifier aims to detect which patients belong to the low decreasing QoL trajectory (positive class) during the 18 month period from baseline. The negative class emerges from the grouping of the high increasing and moderate QoL trajectory clusters identified during trajectory analysis (D4.3b), as depicted in Fig. I3.
Model Description. (THUMS VPS)
Model Description. The current PAC FE model was built by CRF and Altair in the past, by assembling existing validated parts of other available FE dummy models and by “interpreting” the possible way to realize their connections, on the basis of a published technical paper [16] describing this experimental tool; no detailed drawings of the modifications implemented on the real dummy were in fact available. Figure 19 shows this model together with its physical counterpart.
Model Description. LSTCs physical model of a Pedestrian Impactor according to Xxxxxx et al [27] describes an impactor model along the lines of European Commission Regulation (EC) No 631/2009, where all the testing requirements are defined. According validation simulations were performed using LS-DYNA version 971 R4.
2.1. In Xxxxxx et al [27] the calibration requirements of the legform impactor, specified by the regulation are compared with results obtained with the FE model. Finally, it is shown that the FE model demonstrates good agreement with the calibration specifications. Figure 32 exemplarily shows some impressions of LSTCs model. The legform model consists of 47409 nodes, 33664 solid, 2960 thin shell and two beam elements totaling 29 parts. Furthermore the model is divided into a Femur (upper leg) and Tibia (lower leg) part. Both parts are surrounded by a single foam layer covered by a neoprene skin. For accuracy and computational expense reasons mostly brick elements with rigid material properties are used. The foam layer, the outer skin, the leaf spring and the ligaments are modeled as deformable parts.
Model Description. The Enviro-HIRLAM (Environment – High Resolution Limited Area Model) is an online coupled numerical weather prediction and atmospheric chemical transport modelling system for research and forecasting of both meteorological and chemical weather (Korsholm et al 2008; Xxxxxxxx et al., 2009; Xxxxxxxx et al., 2008). The meteorological and chemistry model solve the governing equations describing the main processes: emission, advection, horizontal and vertical diffusion, wet and dry deposition, convection, chemistry and aerosol feedbacks. The system realisation includes the nesting of domains for higher resolutions, different types of urbanization; implementation of chemical mechanisms and aerosol dynamics and feedback mechanisms). Natural land covers are simulated by the Interaction Soil-Biosphere-Atmosphere (ISBA) land surface scheme, originally developed by Noilhan and Xxxxxxx (1989) and further up-dated in the HIRLAM model as modified by Xxxxxx et al. (2005) to include the urban effects implementing the Building Effect Parameterization (BEP, Xxxxxxxx et al., 2002) module. BEP represents the city by a combination of several urban districts. Each district is classified as a combination of multiple streets and buildings of constant widths but with different heights and with similar thermo-dynamical characteristics. The parameterization includes computation of contributions from every facet of the urban substrate (street canyon floor, roofs and walls of buildings) for the momentum, heat and turbulent kinetic energy equation separately as contributions of the vertical surfaces (building walls) as well as horizontal surfaces (floors and roofs).
Model Description. UrbClim is an urban climate model designed to cover agglomeration-scale domains at a spatial resolution of a few hundred metres. It is composed of a land surface scheme containing urban energy and water exchange physics (Figure 12), coupled to a 3-D atmospheric boundary layer module. The latter is tied to synoptic-scale meteorological fields through the lateral and top boundary conditions, to ensure that the extranal climate forcing is properly taken into account.
