Smart Assistive Architecture for the Integration of Iot Devices, Robotic Systems, and Multimodal Interfaces in Healthcare Environments
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Designing transparent display experience through the use of kinetic interaction A Master’s Thesis by Interaction Design Master’s Programme Rafael Rybczyński School of Arts and Communication (K3) Malmö University, Sweden August 2017 MSwedenugust 2017 Designing transparent display experience through the use of kinetic interaction Interaction Design Master’s Programme School of Arts and Communication (K3) Malmö University, Sweden August 2017 Author: Rafael Rybczyński Supervisor: Susan Kozel Examiner: Clint Heyer Thesis Project I 15 credits 2017 Acknowledgements Over the lengths of this thesis project I have received support and encouragement from a many people. First of all, I would like to thank my supervisor Susan Kozel for advising me to trust my own instinct. Moreover I would like humbly to thank all the participants without whom this project would not have been possible. Also humbly I thank Alvar, Sanna, and Susanne for shelter and feedback. For proofreading my thanks goes to Jan Felix Rybczyński and Sanna Minkkinen. Finally, my deepest gratitude is reserved to my father Dr. med. Jerzy Antoni Rybczyński. Rest in peace. I would have wished for you reading this paper. Author’s notes Often during the process of doing this study I was asked why transparent displays. What’s the point? Probably I would say this goes way back to my childhood when enjoying my father reading novel stories to us as good night stories. A good example of great stories was Scheerbart’s utopian architectural vision The Gray Cloth who told about the great Swiss architect who traveled by an airship. Wherever he went, he designed buildings made from brightly colored glass, including the roof. -
USER GUIDE FEATURES • Remotely Operate Individual Lights Or Groups • Automate Lighting to Fit Your Schedule • Dim Or Highlight for the Perfect Setting
USER GUIDE FEATURES • Remotely operate individual lights or groups • Automate lighting to fit your schedule • Dim or highlight for the perfect setting WHAT’S INCLUDED (in the box) • 2 GE Link LED A19 light bulbs • 1 Link Hub (required to connect GE Link bulbs) REQUIRED FOR USE (not in the box) • Apple iPhone®, iPod touch®, or Android™ phone • The Wink app downloaded to your mobile device from the iTunes® App Store or Google Play™ • A Wi-Fi® network with 2.4GHz router (5GHz is not supported) Supported wireless security: WEP (40-bit, 128-bit), WPA-PSK (TKIP/AES), or WPA2-PSK (TKIP/AES) GETTING STARTED 1 Install the included GE Link light bulb(s) 3 Open the Wink app and log in or sign up. and leave on. 4 Tap “Add a product,” then tap “Hubs,” 2 Plug your Link Hub into an AC outlet in a then tap “Link Hub.” central location device. 5 Carefully follow the steps in the Wink app. Note: On first connection, the LED light on the hub will be blinking RED as it downloads the latest firmware. Do not unplug during this process. You will be prompted to restart the pairing process after the firmware is installed. 6 Once Link Hub setup is complete, tap “Add a product,” then tap “Lights,” then tap “Link Light Bulb.” 7 Follow the steps in the Wink app to connect and control your Link bulbs. Radiation Exposure Statement: This equipment COPYRIGHT AND TRADEMARK NOTICES complies with FCC radiation exposure limits set forth for © 2015 Quirky, Inc. All rights reserved. -
Openfog Reference Architecture for Fog Computing
OpenFog Reference Architecture for Fog Computing Produced by the OpenFog Consortium Architecture Working Group www.OpenFogConsortium.org February 2017 1 OPFRA001.020817 © OpenFog Consortium. All rights reserved. Use of this Document Copyright © 2017 OpenFog Consortium. All rights reserved. Published in the USA. Published February 2017. This is an OpenFog Consortium document and is to be used in accordance with the terms and conditions set forth below. The information contained in this document is subject to change without notice. The information in this publication was developed under the OpenFog Consortium Intellectual Property Rights policy and is provided as is. OpenFog Consortium makes no representations or warranties of any kind with respect to the information in this publication, and specifically disclaims implied warranties of fitness for a particular purpose. This document contains content that is protected by copyright. Copying or distributing the content from this document without permission is prohibited. OpenFog Consortium and the OpenFog Consortium logo are registered trademarks of OpenFog Consortium in the United States and other countries. All other trademarks used herein are the property of their respective owners. Acknowledgements The OpenFog Reference Architecture is the product of the OpenFog Architecture Workgroup, co-chaired by Charles Byers (Cisco) and Robert Swanson (Intel). It represents the collaborative work of the global membership of the OpenFog Consortium. We wish to thank these organizations for contributing -
Swarm Robotics Applications Using Argos and Mavproxy |
WHITE PAPER Autonomous Swarms in Active Services Abstract Robotics has evolved across multiple industry segments, from manufacturing to advanced technology, surveillance, and disaster management. Typically, robotics-driven processes are characterized by a set of pre-defined requirements and operations, carried out by individual robots (bots), and performed at an accelerated pace. However, collective decision making by autonomous intelligent robots, leveraging the concepts of machine learning and artificial intelligence (AI), is becoming increasingly important for agile operations. Technological advances have helped realize swarm operations, in which autonomous bots work in a coordinated manner to effectively execute tasks. In this paper, we propose the approach, design, and implementation of a robot swarm ecosystem that enables: n Active servicing: Collective decision making and execution to solve problems n Collaboration: Automated swarm response to priority services, without external directives n Automaticity: Leveraging blockchain for real- time processing of services being advertised as well as exchange of information WHITE PAPER Autonomous Swarms: Current Trends and Challenges The robotics landscape is rapidly evolving, with bots already being deployed for enterprise operations, commercial purposes, home automation and industrial applications. Robot swarms are being leveraged across segments including retail, travel, healthcare, manufacturing and semiconductors, for a variety of use cases. These swarms are being enabled with the autonomy to operate independently once a preset task or a passive service is assigned, leading to an evolved ecosystem of autonomous nodes or swarms. However, autonomous nodes/swarms executing passive services have two specific failure points. One is central management and the other is a non-configurable preset task. De-centralized management is a viable option, but it only scales down the risk and does not eliminate the point of failure. -
Smart Dust Technology
250, Mini-Project Report Amy Haas Smart Dust Technology Smart dust is an emerging technology with a huge potential for becoming an internationally successful commercial venture. Now is the best time to invest in smart dust – right at the point at which the scientific community is close to perfecting the technology and its applications but its potential has not yet been realized by the capitalist market. Fundamental Concept Smart dust is a theoretical concept of a tiny wireless sensor network, made up of microelectromechanical sensors (called MEMS), robots, or devices, usually referred to as motes, that have self-contained sensing, computation, communication and power1. According to the smart dust project design created by a team of UC Berkeley researchers2, within each of these motes is an integrated package of “MEMS sensors, a semiconductor laser diode and MEMS beam-steering mirror for active optical transmission, a MEMS corner-cube retroreflector for passive optical transmission, an optical receiver, signalprocessing and control circuitry, and a power source based on thick-film batteries and solar cells.” The intent is that these motes will eventually become the size of a grain of sand or a dust particle, hence the name “smart dust”, but the technology still has a long way to go to achieve its target size. In current sensor technology, the sensors are about the size of a bottle cap or small coin. As with most electronic devices or technologies, the biggest challenges in achieving actual smart dust are the power consumption issues and making the batteries small enough. Although there is a lot of work being done on solar cells to keep the motes self-sustaining, the components are just not small enough yet to actually be considered smart dust. -
Supporting Mobile Swarm Robotics in Low Power and Lossy Sensor Networks 1 Introduction
1 Supporting Mobile Swarm Robotics in Low Power and Lossy Sensor Networks Kevin Andrea [email protected] Robert Simon [email protected] Sean Luke [email protected] Department of Computer Science George Mason University 4400 University Drive MSN 4A5 Fairfax, VA 22030 USA Summary Wireless low-power and lossy networks (LLNs) are a key enabling technology for the deployment of massively scaled self-organizing sensor swarm systems. Supporting applications such as providing human users situational awareness across large areas requires that swarm-friendly LLNs effectively support communication between embedded and mobile devices, such as autonomous robots. The reason for this is that large scale embedded sensor applications such as unattended ground sensing systems typically do not have full end-to-end connectivity, but suffer frequent communication partitions. Further, it is desirable for many tactical applications to offload tasks to mobile robots. Despite the importance of support this communication pattern, there has been relatively little work in designing and evaluating LLN-friendly protocols capable of supporting such interactions. This paper addresses the above problem by describing the design, implementation, and evaluation of the MoRoMi system. MoRoMi stands for Mobile Robotic MultI-sink. It is intended to support autonomous mobile robots that interact with embedded sensor swarms engaged in activities such as cooperative target observation, collective map building, and ant foraging. These activities benefit if the swarm can dynamically interact with embedded sensing and actuator systems that provide both local environmental or positional information and an ad-hoc communication system. Our paper quantifies the performance levels that can be expected using current swarm and LLN technologies. -
Robot Based Home Automation
International Journal of Recent Technology and Engineering (IJRTE) ISSN: 2277-3878, Volume-8, Issue-1S4, June 2019 Robot based Home Automation L. Nikhil Manikanta, M. Pushpavalli, P. Saikumar, P. Sivagami, M. Vikram Reddy, P. Abirami Abstract--- Robot Based Home Automation, nowadays in the information for the security outside the home for potential society we cannot trust anyone compared to systems and robots. threats and smart control of things like main gates, garage By trusting robots and the internet of things is much more than and also scanning the person through facial recognition human beings. When it comes to our home, the concept is to outside the home [4]. The setup also contains the solar make it smarter, safer and automatic and with the security of a robot. This project looks on building smart wireless and robotic panels for lighting purpose in the garden at the night. There security system which sends second to second information to is a waterproof fire sensor for when the fire appears owners and that too stored in the cloud by using the internet of accidental in the home automatically it detects and sprinkler things in case of any raises an alarm. Home automation by will on and water will appear inside the home. Gas sensor making some set of sensors. Internet of things is growing more by also used in the kitchen due to detection of leakage of day by day. Internet of Things is a system that uses computers cooking gas and it gives the alarm. For old age people, the and mobile devices to control home functions through the internet from anywhere in the world. -
A Literature Review on New Robotics: Automation from Love to War
A literature review on new robotics : automation from love to war Citation for published version (APA): Royakkers, L. M. M., & Est, van, Q. C. (2015). A literature review on new robotics : automation from love to war. International Journal of Social Robotics, 7(5), 549-570. https://doi.org/10.1007/s12369-015-0295-x DOI: 10.1007/s12369-015-0295-x Document status and date: Published: 01/11/2015 Document Version: Publisher’s PDF, also known as Version of Record (includes final page, issue and volume numbers) Please check the document version of this publication: • A submitted manuscript is the version of the article upon submission and before peer-review. There can be important differences between the submitted version and the official published version of record. People interested in the research are advised to contact the author for the final version of the publication, or visit the DOI to the publisher's website. • The final author version and the galley proof are versions of the publication after peer review. • The final published version features the final layout of the paper including the volume, issue and page numbers. Link to publication General rights Copyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights. • Users may download and print one copy of any publication from the public portal for the purpose of private study or research. • You may not further distribute the material or use it for any profit-making activity or commercial gain • You may freely distribute the URL identifying the publication in the public portal. -
Schlage Electronics Brochure
Safer. Smarter. More stylish. SCHLAGE KEYLESS LOCKS Deliver quality and innovation with reliable access control systems from Schlage. PROVIDE YOUR CUSTOMERS WITH SIMPLE, KEYLESS SECURITY. HUB HUB HUB CONNECTION CONNECTION CONNECTION HUB HUB HUB CONNECTION CONNECTION CONNECTION FREE FREE FREE APP APP APP BUILT-IN BUILT-IN BUILT-IN WIFI WIFI WIFI SMART WIFI DEADBOLT HANDS-FREE HANDS-FREE HANDS-FREE VOICE CONTROL VOICE CONTROL VOICE CONTROL A smarter way in. The built-in WiFi of the Schlage EncodeTM Smart WiFi Deadbolt provides secure remote access from anywhere – no hubs or adapters required – making integration with smart home technology seamless and simple. LIFETIME LIFETIME LIFETIME GUARANTEE GUARANTEE GUARANTEE SMART LOCK. SMART INVESTMENT. ● Works with Schlage Home app, Key by Amazon and Ring Video Doorbell ● Use the Schlage Home app to update the lock to the latest features SECURITY AND DURABILITY EASY EASY EASY INSTALLATION INSTALLATION INSTALLATION ● Built-in alarm technology senses potential door attacks ● Highest industry ratings for residential Security, Durability and Finish ACCESS CODES ● Schedule access codes so guests can only enter when you want them to ● Lock holds up to 100 access codes The Schlage Home app provides simple setup, remote connectivity and future compatibility exclusively for the Schlage Encode Smart WiFi Deadbolt and Schlage Sense Smart Deadbolt. 3 SMART DEADBOLT Smart made easy. The Schlage Sense® Smart Deadbolt makes it easy to set up and share access with the Schlage Home app for iOS and Android™ smartphones. -
A Survey of Smartwatch Platforms from a Developer's Perspective
Grand Valley State University ScholarWorks@GVSU Technical Library School of Computing and Information Systems 2015 A Survey of Smartwatch Platforms from a Developer’s Perspective Ehsan Valizadeh Grand Valley State University Follow this and additional works at: https://scholarworks.gvsu.edu/cistechlib ScholarWorks Citation Valizadeh, Ehsan, "A Survey of Smartwatch Platforms from a Developer’s Perspective" (2015). Technical Library. 207. https://scholarworks.gvsu.edu/cistechlib/207 This Project is brought to you for free and open access by the School of Computing and Information Systems at ScholarWorks@GVSU. It has been accepted for inclusion in Technical Library by an authorized administrator of ScholarWorks@GVSU. For more information, please contact [email protected]. A Survey of Smartwatch Platforms from a Developer’s Perspective By Ehsan Valizadeh April, 2015 A Survey of Smartwatch Platforms from a Developer’s Perspective By Ehsan Valizadeh A project submitted in partial fulfillment of the requirements for the degree of Master of Science in Computer Information Systems At Grand Valley State University April, 2015 ________________________________________________________________ Dr. Jonathan Engelsma April 23, 2015 ABSTRACT ................................................................................................................................................ 5 INTRODUCTION ...................................................................................................................................... 6 WHAT IS A SMARTWATCH -
Veracode White Paper—The Internet of Things: Security Research Study
Veracode White Paper – The Internet of Things: Security Research Study The Internet of Things: Security Research Study Veracode White Paper – The Internet of Things: Security Research Study Introduction As the Internet of Things (IoT) continues to gain traction and more connected devices come to market, security becomes a major concern. Businesses are increasingly being breached by attackers via vulnerable web-facing assets1; what is there to keep the same from happening to consumers? The short answer is nothing. Already, broad-reaching hacks of connected devices have been recorded2 and will continue to happen if manufacturers do not bolster their security efforts now. In this light, Veracode’s research team examined six Internet-connected consumer devices and found unsettling results. We investigated a selection of always-on consumer IoT devices to understand the security posture of each product. The result: product manufacturers weren’t focused enough on security and privacy, as a design priority, putting consumers at risk for an attack or physical intrusion. Our team performed a set of uniform tests across all devices and organized the findings into four different domains: user-facing cloud services, back-end cloud services, mobile application interface, and device debugging interfaces. The results showed that all but one device exhibited vulnerabilities across most categories. It’s clear there is a need to perform security reviews of device architecture and accompanying applications to minimize the risk to users. Further, the study -
Android Based Home Automation and Energy
INTERNATIONAL JOURNAL ON SMART SENSING AND INTELLIGENT SYSTEMS SPECIAL ISSUE, SEPTEMBER 2017 ANDROID BASED HOME AUTOMATION AND ENERGY CONSERVATION 1*M.Anto Bennet, 2B.Thamilvalluvan,2C.A.Hema Priya,2 B.Bhavani,2M.Shalini 1 Faculty of Electronics and Communication Department, vel tech, Chennai, India. 2 UG Students of Electronics and Communication Department, vel tech , Chennai, India. Email:[email protected] Submitted: May 27, 2017 Accepted: June 15, 2017 Published: Sep 1, 2017 Abstract- Wireless Sensor Network (WSN) consists of three main components: nodes, gateways, and software. The spatially distributed measurement nodes interface with sensors to monitor assets or their environment. In a WSN network the devices are connected to WSN nodes wherein the entire nodes uses Zigbee network to transfer the status of connected applications to a controller which controls the whole applications but the main drawback of Wireless sensor networks is its high interference, low coverage area and ability to control only low power devices. In order to overcome these drawbacks Android equipped devices are used to control the applications over GPRS network. Android equipped devices allow the user to control various applications over wireless networks. Being an open sourced platform it allows the user to design a custom module which controls the home applications by connecting the android equipped device and its corresponding home applications to an MCU wherein it uses relay circuits to connect the entire applications using GPRS network to connect the application controller and the android device. These devices can be used to control industrial applications, home applications like light, fan etc., and thereby conserving electricity.