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020 MKT1003SUPPORTS GLOBAL BUILDING STANDARDSHelps achieveWELL Building StandardSupports the achievement of WELL v7 Features 78and 80 and WELL v2 Feature S04Helps achieve ecommended reverberation ti. Acoustic models in Kaldi . Support for standard ML-trained models. Linear transforms like LDA, HLDA, MLLT/STC. Speaker adaptation with fMLLR, MLLR. Support for tied-mixture systems initially discussed. RAM 7 Workshop. November 4. th. & 5. th. Steven Carter. Roush Industries. Steven.Carter@Roush.com. Condition Based Maintenance. Condition based maintenance(CBM) is the practice of providing maintenance when needed.. Outline. 1.) Step 1 – TV3 Calibration. 2.) Step 2 – SMOV4 (+ Cycle 17 Calibration). 3.) Step 3 – Final Calibration (present analysis). - More data. - New flat fields. - Astrodrizzle. - Precise calibration. RESEARCH. q. uality and quantity. Paul Dowling. Institute of Education. University of London. Photometric . redshifts. can be routinely obtained to accuracies of better than 0.1 in Deltaz/(1 +. z. ). The issue of dust extinction, however, is one that has still not been well quantified. In this paper the success of two template-fitting photometric . harbour. porpoises and bottlenose dolphins. K.J. Palmer. (1)*. , . Dr. Kate . Brookes. (2. ). , Dr. Luke Rendell. (1). (1) Sea Mammal Research Unit, Scottish Oceans Institute, University of St Andrews. Mike Jech. NOAA/NEFSC. Woods Hole, MA 02543. Michael.Jech@noaa.gov. “Water column” data. Active acoustic data are acquired, processed, and archived within the same organization . Hence, there is no clearing house for these data – yet.. Initial Findings. Introduction. Traffic State Detection Using Acoustics. Future Work. • . Early Detection. : . Minimum amount of recording needed by the classifier to. . correctly identify a scene.. CS5670 : Computer Vision. Noah Snavely. A Single Image: Shape from Shading. Assume is 1 for now.. What can we measure from one image?. is the angle between N and L. Add assumptions:. Patrick A. Naylor. Project Meeting. Erlangen, Nov 30th, 2016. Introduction . – Task List. T2.1 Acoustic source localization and environment mapping. T2.2 Focusing by adaptive . robomorphic. arrays. Lothar Holitzner. 1. , . Ernst Günter Lierke. 2. 1. Paul Scherrer Institut, Laboratory for Scientific Developments and Novel Materials, Villigen, Switzerland; . 2. . t. ec5 AG, Oberursel, Germany. .. Lukasz Nowak. (a). , Karolina Nowak. (b). (a) Institute of Fundamental Technological Research, . Polish. . Academy. of . Sciences. , . Poland. (b) Centre of Postgraduate Medical Education, . Poland. Afsaneh . Asaei. Joint work with: . Mohammad . Golbabaee. ,. Herve. Bourlard, . Volkan. . Cevher. φ. 21. φ. 52. s. 1. s. 2. s. 3. . s. 4. s. 5. x. 1. x. 2. φ. 11. φ. 42. 2. Speech . Separation Problem. Rodger Dyson. NASA Glenn Research Center. CEC/ICMC. Hartford, CT. July . 24, . 2019. 1. v. . . 2. 2. Electric Aircraft Thermal Challenge. Current proposed solutions include:. Ram air HX. adds weight and aircraft drag. „4.5. Light . sources. “. With the agreed objective to allow all light source technologies in all lamps (functions) the text of section 4.5.1. condenses significantly. 4.5. Light sources. 4.5.1. Restrictions on light sources .