PPT-Namatad: Inferring Occupancy From Building Sensors Using Machine Learning

Author : blackwidownissan | Published Date : 2020-08-26

Anindya Dey Xiao Ling Adnan Syed Yuewen Zheng Bob Landowski David Anderson Kim Stuart Matthew E Tolentino Intelligent Platforms amp Architecture IPA Lab University

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Namatad: Inferring Occupancy From Building Sensors Using Machine Learning: Transcript


Anindya Dey Xiao Ling Adnan Syed Yuewen Zheng Bob Landowski David Anderson Kim Stuart Matthew E Tolentino Intelligent Platforms amp Architecture IPA Lab University of Washington 121216. Nick . Chater. Behavioural Science Group. OVERVIEW. THE FICTIONAL SELF. THE ILLUSION OF DEPTH. WHY BEHAVIOUR IS (SOMEWHAT) COHERENT. IMPLICATIONS. 1. . THE FICTIONAL SELF. The claim. We infer our own inner life from our words and actions, just as we infer those of a third person. Instructor: . Dongchul. . kim. Anusha boothpur. 20303325.  . INTRODUCTION. A. ctive . users converse with their . social neighbors . via social activities such as posting comments . one after . another. Quickwrite. : What is happening in this image?. How do you know?. The man is banging his head against the blackboard–. Banging one’s head against the wall can be seen as a sign of frustration or ‘giving up’. Energy Savings & Code Requirements for Your Building. Presented by: . Alyssa Weber, EIT, LEED AP. BD+C. Controls. Manager . Visual Interest. How are Lighting Controls Utilized in Your Building?. Inference and Drawing Conclusions. Haines City High School. Creator: Charles Wynne. Watch the video. http://www.youtube.com/watch?v=2m1Nubw8XJw. (ten minute clip). Answer the questions below:. Why is this video clip funny?. Kyra Stillman. Importance. Determine the actual occupancy. Monitor population fluctuations. Deduce what affects occupancy rates. Variables. Attempt to find . p. . and . ψ. ,. detection and occupancy probabilities. ENG. 213. Prof. Miguel A. . Arce. Ramos. PUCPR. Contents. 2. What is inferring?. When we encounter a new word, a good strategy to use is to infer.. When we infer, we make an educated guess.. However, you may not always able to infer an exact meaning.. is a . sensor.  able to detect the presence of nearby objects without any physical contact.. How do the work . The object being sensed is often referred to as the proximity sensor's . target. Pulsing out a signal and receiving an input from it’s output. Presentation to HCBS Conference Arlington, VA September 18, 2014. Leslie Hendrickson. Hendrickson Development . Gain better understanding of factors affecting NF occupancy. Built two models and studied important zero-order correlations.. Power Packs. Introduction to Sensors. An occupancy sensor is a control device that detects occupancy and turns lighting (or other equipment) on or off automatically. . Occupancy . sensors continue to rank among the most popular component for lighting control solutions on the market today. Key to in-class exercise are in . blue. 1. Jan 8, . 2016. AEC 501. Nathan J. . Hostetter. njhostet@ncsu.edu. Occupancy. Abundance often most interesting variable when analyzing a population. Occupancy – probability that a site is occupied. Elahe. . Soltanaghaei. , . Kamin. Whitehouse. Department of computer. . science, University of Virginia. 1. /18. Motion . Occupancy.  . 2. /18. Motion . Occupancy.  . 3. /18. Walkway Sensing. Liang . Cai. and . Hao. Chen. UC Davis. Security Problems on . Smartphones. Old problems. Malware. Software bugs. Information leak. …. New problems. How can attackers exploit sensors?. Sensors on . Yonggang Cui. 1. , Zoe N. Gastelum. 2. , Ray Ren. 1. , Michael R. Smith. 2. , . Yuewei. Lin. 1. , Maikael A. Thomas. 2. , . Shinjae. Yoo. 1. , Warren Stern. 1. 1 . Brookhaven National Laboratory, Upton, USA.

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