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Personalized Smart Residency with Human Activity Recognition a Thesis Submitted to the Graduate School in Partial Fulfillment Of
PERSONALIZED SMART RESIDENCY WITH HUMAN ACTIVITY RECOGNITION A THESIS SUBMITTED TO THE GRADUATE SCHOOL IN PARTIAL FULFILLMENT OF THE REQUIREMENT FOR THE DEGREE MASTER IN COMPUTER SCIENCE BY SUDAD H. ABED DR. WU SHAOEN – ADVISOR BALL STATE UNIVERSITY MUNCIE, INDIANA December 2016 DEDICATION To our greatest teacher, the person who took us out of the darkness to the light, the person who carried discomfort on his shoulders for our comfort, our prophet Mohammad; To the pulse of my heart, the secure and warm lap, the one who stayed up to ensure my wellness, my mother; To the man who devoted his life to me, my first friend, the one who I will always go to for advice, my father; To those whom I stood up miss every day, the companions who have stood by me through the good times and the bad, my brothers and sisters; I dedicate my work to you. i ACKNOWLEDGMENT First of all, and most importantly, I thank Allah for all the strength, blessings, and mercy he has been given me. I want to pay a special warm thanks to my teacher and thesis advisor Dr. Shaoen Wu for his guidance, answers, and patience every time I needed him during my work on the thesis. I want to acknowledge my appreciation to Dr. Shaoen Wu for all his effort and support in helping me complete this work. I want to thank my committee members, Dr. David Hua and Dr. Jeff Zhang for all their suggestions and recommendations. Also, I want to thank the chairperson of the Computer Science Department, Dr. -
Cloud Computingcomputing
NetworkingNetworking TechnologiesTechnologies forfor BigBig DataData andand InternetInternet ofof ThingsThings. Raj Jain Washington University in Saint Louis Saint Louis, MO 63130 [email protected] These slides and audio/video recordings of this lecture are at: http://www.cse.wustl.edu/~jain/tutorials/gitma15.htm Washington University in St. Louis http://www.cse.wustl.edu/~jain/tutorials/gitma15.htm ©2015 Raj Jain 10-1 OverviewOverview 1. What are Things? 2. What’s Smart? 3. Why IoT Now? 4. Business/Research Opportunities in IoT 5. Why, What, and How of Big Data: It’s all because of advances in networking 6. Recent Developments in Networking and their role in Big Data (Virtualization, SDN, NFV) Washington University in St. Louis http://www.cse.wustl.edu/~jain/tutorials/gitma15.htm ©2015 Raj Jain 10-2 CloudCloud ComputingComputing August 25, 2006: Amazon announced EC2 Birth of Cloud Computing in reality (Prior theoretical concepts of computing as a utility) Web Services To Drive Future Growth For Amazon ($2B in 2012, $7B in 2019) - Forbes, Aug 12, 2012 Cloud computing was made possible by computing virtualization Networking: Plumbing of computing IEEE: Virtual Bridging, … IETF: Virtual Routers, … ITU: Mobile Virtual Operators, … Washington University in St. Louis http://www.cse.wustl.edu/~jain/tutorials/gitma15.htm ©2015 Raj Jain 10-3 WhatWhat areare Things?Things? Thing Not a computer Phone, watches, thermostats, cars, Electric Meters, sensors, clothing, band-aids, TV,… Anything, Anywhere, Anytime, Anyway, Anyhow (5 A’s) Ref: http://blog.smartthings.com/iot101/iot-adding-value-to-peoples-lives/ Washington University in St. Louis http://www.cse.wustl.edu/~jain/tutorials/gitma15.htm ©2015 Raj Jain 10-4 InternetInternet ofof ThingsThings Less than 1% of things around us is connected. -
Good for Enterprise – Android V1.9.1 Release Notes (Service Release)
Good for Enterprise – Android v1.9.1 Release Notes (Service Release) Updated: April 27, 2012 Good for Enterprise – Android v1.9.1 (Service Release) .............................................................................................. 1 Issues Resolved ........................................................................................................................................................ 1 Good for Enterprise – Android v1.9.0 ........................................................................................................................... 1 New Features ............................................................................................................................................................ 1 Issues Resolved ........................................................................................................................................................ 2 Good for Enterprise – Android v1.8.1 (Service Release) .............................................................................................. 2 Good for Enterprise – Android v1.8.0 ........................................................................................................................... 3 New Features ............................................................................................................................................................ 3 Good for Enterprise – Android v1.7.5 Service Release ................................................................................................ 3 -
The Best Smart Home Devices for Your Google Home
3/30/2018 The best Google Home devices: Philips Hue, Nest Cam IQ, and more - Business Insider The best smart home devices for your Google Home CHRISTIAN DE LOOPER, INSIDER PICKS JAN. 23, 2018, 3:00 PM The Insider Picks team writes about stuff we think you'll like. Business Insider has affiliate partnerships, so we get a share of the revenue from your purchase. Google/Business Insider The Insider Pick: http://www.businessinsider.com/best-google-home-devices?op=1&r=UK&IR=T/#the-best-light-bulbs-that-work-with-google-home-1 1/15 3/30/2018 The best Google Home devices: Philips Hue, Nest Cam IQ, and more - Business Insider If you’ve chosen the Google Assistant as your smart home helper, you need the best smart home products that work with the Google Home, Mini, and Max. We've tested smart light bulbs, outlets, light switches, security cameras, and thermostats to find the best ones you can buy. The smart home is on the rise, and there are a growing number of awesome smart home devices that will help you live like the Jetsons. Companies like Google, Amazon, and Apple are all working hard with partners to expand their smart home ecosystems and bring digital assistants like Google Assistant, Amazon's Alexa, and Apple's Siri into the home. Most Android fans have chosen Google Home as their go-to smart home system, and for good reason. It integrates well with other Google products, can be easily set up and controlled from your smartphone, and allows for a more uniform experience with the Google Assistant. -
Google Nest FAQ's
Google Nest FAQ’s Professional Installer October 2020 Let’s go! | Confidential and Proprietary | Do not distribute Welcome to the Google Nest FAQ’s Here you will find some Frequently Asked Questions from both Branch Staff and Installers. Please use this information to assist with Google Nest sales and questions. Need any help? For assistance with technical aspects related to the Google Nest product range, including installation and any other issues related to the Pro Portal, Pro Finder and Pro network, contact the Nest Pro support team: Contact Us form at pro.nest.com/support 0808 178 0546 Monday to Friday – 08:00‑19:00 Saturday to Sunday – 09:00‑17:00 For help to grow your business with Google Nest, product-specific questions and sales support,contact the Field team: [email protected] 07908 740 199 | Confidential and Proprietary | Do not distribute Topics to be covered Product-specific ● Nest Thermostats ● Nest Protect ● Nest Cameras ● Nest Hello video doorbell ● Nest Aware and Nest Aware Plus ● Nest Speakers and Display ● Nest Wi-Fi Other ● Nest Pro ● Returns and Faults ● General Questions ● Product SKUs ● Additional resources | Confidential and Proprietary | Do not distribute Nest Thermostats ● What’s the difference between Nest 3rd Gen Learning Thermostat and Nest Thermostat E? The 3rd Generation Nest Learning Thermostat is a dual channel (heating and hot water) and Nest Thermostat E is a single channel (heating only) as well as design, features, wiring and price. ● How many Thermostats does my customer need for a multi zone system? As the 3rd Gen Nest Learning Thermostat is a dual channel thermostat it will control both Heating and Hot Water. -
Appshield: Enabling Multi-Entity Access Control Cross Platforms for Mobile App Management
AppShield: Enabling Multi-entity Access Control Cross Platforms for Mobile App Management Zhengyang Qu1, Guanyu Guo2, Zhengyue Shao2, Vaibhav Rastogi3, Yan Chen1, Hao Chen4, and Wangjun Hong1 1 Northwestern University, Evanston IL 60208, USA 2 Zhejiang University, Hangzhou, China 3 University of Wisconsin, Madison WI 53706, USA 4 University of California, Davis CA 95616, USA [email protected], [email protected], [email protected], [email protected], [email protected], [email protected], [email protected] Abstract. Bring-your-own-device (BYOD) is getting popular. Diverse personal devices are used to access enterprise resources, and deployment of the solutions with customized operating system (OS) dependency will thus be restricted. Moreover, device utilization for both business and per- sonal purposes creates new threats involving leakage of sensitive data. As for functionalities, a BYOD solution should isolate an arbitrary num- ber of entities, such as those relating to business and personal uses and provide fine-grained access control on multi-entity management. Existing BYOD solutions lack in these aspects; we propose a system, called App- Shield, which supports multi-entity management and role-based access control with file-level granularity, apart from local data sharing/isolation. AppShield includes (1) application rewriting framework for Android apps, which builds Mobile Application Management (MAM) features into app automatically with complete mediation, (2) cross-platform proxy- based data access mechanism, which can enforce arbitrary access control policies. The fully functional controller with data proxy is implemented for both Android and iOS. AppShield allows for enterprise policy man- agement without modifying device OS. -
A Case Study on Nest's “Smart Home Energy” Business Model: Based on Strategic Choices for Connected Product
A CASE STUDY ON NEST’S “SMART HOME ENERGY” BUSINESS MODEL: BASED ON STRATEGIC CHOICES FOR CONNECTED PRODUCT SONG, MINZHEONG Hansei University E-mail: [email protected] Abstract - The purpose of this study is to investigate Nest’s business strategy, because simple Nest products have a big potential of connected one and have synergy with Google’s current assets such as artificial intelligence. It makes sense to be developing them together. The key activities based on strategic choices for monetizing connected product are investigated. Nest’s capacity and functionality is to offer a seamless integration of devices, platforms, and services and the “Works with Nest” offers an ecosystem fulfilling the needs of different partners. For utilizing and monetizing customer data, Nest also provides a seamless end-to-end customer experience supported by product incentives. Nest also introduces open APIs to connect its smart devices to the wider IoT and open to “If This, Then That.” With those activities Nest builds Nest homeincluding energy. In terms of smart home energy (SHE), all Nest products were designed to work together and if there is a carbon monoxide leak, the Nest Protect can send a command to the Nest Thermostat to turn off the heat. The Nest app also controls them from one single place. Thanks to the support of numerous partners and third-party developers, Nest has partnered with 32 energy providers as of 2017. These partners provide energy from renewable and non-renewable energy sources. Nest emphasizes how the consumer can benefit from sharing data with their energy and insurance provider. -
Nokia E90 Communicator Using Quickoffice Copyright ©2007Nokia
Using Quickoffice Nokia E90 Communicator Using Quickoffice Nokia E90 Communicator Using Quickoffice Legal Notice To the maximum extent permitted by applicable law, under no circumstances shall Copyright © 2007 Nokia. All rights reserved. Nokia or any of its licensors be responsible for any loss of data or income or any Nokia, Nokia Connecting People, Eseries and E90 Communicator are trademarks or special, incidental, consequential or indirect damages howsoever caused. registered trademarks of Nokia Corporation. Other product and company names The contents of this document are provided "as is". Except as required by applicable mentioned herein may be trademarks or tradenames of their respective owners. law, no warranties of any kind, either express or implied, including, but not limited Reproduction, transfer, distribution or storage of part or all of the contents in this to, the implied warranties of merchantability and fitness for a particular purpose, are document in any form without the prior written permission of Nokia is prohibited. made in relation to the accuracy, reliability or contents of this document. Nokia reserves the right to revise this document or withdraw it at any time without prior Nokia operates a policy of ongoing development. Nokia reserves the right to make notice. changes and improvements to any of the products described in this document without prior notice. The availability of particular products and applications and services for these products may vary by region. Please check with your Nokia dealer for details, and availability of language options. Copyright © 2007 Nokia. All rights reserved. Contents Introduction............................................... 4 Presentations.......................................... 13 Supported file formats......................................................... 4 Viewing presentations .................................................... -
1-The Age of the Data Product
M.Sc.IT Sem II Unit-IV Big Data and Analytics 1-The Age of the Data Product 1.1-What Is a Data Product? The traditional answer to this question is usually “any application that combines data and algorithms.” But frankly, if you’re writing software and you’re not combining data with algorithms, then what are you doing? After all, data is the currency of programming! More specifically, we might say that a data product is the combination of data with statistical algorithms that are used for inference or prediction. Many data scientists are also statisticians, and statistical methodologies are central to data science. Armed with this definition, you could cite Amazon recommendations as an example of a data product. Amazon examines items you’ve purchased, and based on similar purchase behavior of other users, makes recommendations. In this case, order history data is combined with recommendation algorithms to make predictions about what you might purchase in the future. You might also cite Facebook’s “People You May Know” feature because this product “shows you people based on mutual friends, work and education information ... [and] many other factors”—essentially using the combination of social network data with graph algorithms to infer members of communities. Indeed, defining data products as simply the combination of data with statistical algorithms seems to limit data products to single software instances (e.g., a web application), which hardly seems a revolutionary economic force. Although we might point to Google or others as large-scale economic forces, the combination of a web crawler gathering a massive HTML corpus with the PageRank algorithm alone does not create a data economy. -
Verizon DROID RAZR M User Guide
DROID RAZR M BY MOTOROLA pick a topic, get what you need At a glance Start Home screen & apps Control & customize Calls Contacts 123456 www. PLAYLISTS qwe r t y Messages Type Socialize Browse Photos & videos Music 44 West Street Books Locate & NAVIGATE Work Connect & transfer Protect Want More? #1 Troubleshoot Safety - - Top topics Search topics At a glance a quick look At a glance Your smartphone Tips & tricks Your smartphone •Start: Insert the SIM and optional memory card, Top topics DROID RAZR M BY MOTOROLA gives you the best of all charge the battery, and register your smartphone. See worlds—a compact smartphone with a large vivid display, “Start”. that’s intuitive and helpful at every step. • Top topics: Just want a quick hit of what your •Speed: 4G LTE speeds and Chrome™ browser. smartphone can do? See “Top topics”. •Design: Premium protective materials—DuPont™ •More: All the topics in this guide and so much more, Kevlar® fiber, Corning® Gorilla® Glass, and a water right on your smartphone. Tap Apps > Help repellent nano-coating. > TUTORIALS or HELP TOPICS. Want more? See “Get • Best of Google™: Google Maps™ Navigation Beta, more!”. Gmail™, Google Play™, Google+, and more. Note: Certain apps and features may not be available in all countries. 3.5mm Headset Notification This product meets the applicable limit for Light 4:00 Front Camera exposure to radio waves (known as SAR) of 1.6 W/kg (FCC & IC). The limits and guidelines Power Key include a substantial safety margin designed to assure micro SIM Mon, Nov 26 100% Card Slot Press = Screen On/Off the safety of all persons, regardless of age and health. -
Aura: an Iot Based Cloud Infrastructure for Localized Mobile Computation Outsourcing
Aura: An IoT based Cloud Infrastructure for Localized Mobile Computation Outsourcing Ragib Hasan, Md. Mahmud Hossain, and Rasib Khan ragib, mahmud, rasib @cis.uab.edu { } Department of Computer and Information Sciences University of Alabama at Birmingham, AL 35294, USA Abstract—Many applications require localized computation in near the client’s mobile phone so that all communications order to ensure better performance, security, and lower costs. In occur over one or two network hops from the client, and the recent years, the emergence of Internet-of-Things (IoT) devices data never has to traverse over the public Internet. On the has caused a paradigm shift in computing and communication. other hand, building cloud infrastructures is very expensive, IoT devices are making our physical environment and infrastruc- requiring hundreds of millions of dollars to set up and operate tures smarter, bringing pervasive computing to the mainstream. cloud data centers, making it impossible and economically With billions of such devices slated to be deployed in the next five years, we have the opportunity to utilize these devices in infeasible to have data centers located near clients. For such converting our physical environment into interactive, smart, and localized computing facilities, we need a lightweight system intelligent computing infrastructures. In this paper, we present for outsourced computation that can be incorporated into each Aura – a highly localized IoT based cloud computing model. Aura building or physical infrastructure, making it available at a close allows clients to create ad hoc clouds using the IoT and other distance from clients. To achieve this, in this paper, we present computing devices in the nearby physical environment, while Aura – a system for outsourced computation on lightweight ad providing the flexibility of cloud computing. -
ATLAS.Ti Mobile for Android User Manual
1 ATLAS.ti Mobile for Android User Manual ATLAS.ti Mobile for Android USER MANUAL 2 ATLAS.ti Mobile User Manual – Android Copyright ©2014 by ATLAS.ti Scientific Software Development GmbH, Berlin. All rights reserved. Version: 196.20140616 Author: Dr. Susanne Friese (QuaRC Consulting) Programming/Design/Layout: www.hypertexxt.com Copying or duplicating this manual or any part thereof is a violation of applicable law. No part of this manual may be reproduced or transmitted in any form or by any means, electronic or mechanical, including, but not limited to, photocopying, without written permission from ATLAS.ti GmbH. Trademarks: ATLAS.ti is a registered trademark of ATLAS.ti Scientific Software Development GmbH. Adobe Acrobat is a trademark of Adobe Systems Incorporated; Microsoft, Windows, Excel, and other Microsoft products referenced herein are either trademarks of Microsoft Corporation in the United States and/or in other countries. Google Earth is a trademark of Google, Inc. All other product names and any registered and unregistered trademarks mentioned in this document are used for identification purposes only and remain the exclusive property of their respective owners. ATLAS.ti Mobile for Android USER MANUAL CONTENTS 3 Contents Introduction .............................................................................................................................. 5 Main Concepts And Features .................................................................................................... 6 Documents ......................................................................................................................................................................