Overview and Challenges of Ambient Systems, Towards a Constructivist
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Ambient Intelligence in Healthcare: a State-Of-The-Art
Global Journal of Computer Science and Technology: H Information & Technology Volume 17 Issue 3 Version 1.0 Year 2017 Type: Double Blind Peer Reviewed International Research Journal Publisher: Global Journals Inc. (USA) Online ISSN: 0975-4172 & Print ISSN: 0975-4350 Ambient Intelligence in Healthcare: A State-of-the-Art By Nilanjan Dey & Amira S. Ashour Techno India College of Technology Abstract- Information technology advancement leads to an innovative paradigm called Ambient Intelligence (AmI). A digital environment is employed along with AmI to enable individuals to be aware to their behaviors, needs, emotions and gestures. Several applications of the AmI systems in healthcare environment attract several researchers. AmI is considered one of the recent technologies that support hospitals, patients, and specialists for personal healthcare with the aid of artificial intelligence techniques and wireless sensor networks. The improvement in the wearable devices, mobile devices, embedded software and wireless technologies open the doors to advanced applications in the AmI paradigm. The WSN and the BAN collect medical data to be used for the progress of the intelligent systems adapted inevitably. The current study outlines the AmI role in healthcare concerning with its relational and technological nature. Keywords: ambient intelligence, wearable devices, wireless sensor networks, wireless body area networks, wearable sensors, monitoring systems, computational intelligence. GJCST-H Classification: J.3, K.4.1 AmbientIntelligencein HealthcareA StateoftheArt Strictly as per the compliance and regulations of: © 2017. Nilanjan Dey & Amira S. Ashour. This is a research/review paper, distributed under the terms of the Creative Commons Attribution-Noncommercial 3.0 Unported License http://creative commons. org/licenses/by-nc/3.0/), permitting all non-commercial use, distribution, and reproduction inany medium, provided the original work is properly cited. -
Solving Human Centric Challenges in Ambient Intelligence Environments to Meet Societal Needs
Solving Human Centric Challenges in Ambient Intelligence Environments to Meet Societal Needs A Dissertation Presented to the Faculty of the School of Engineering and Applied Science University of Virginia In Partial Fulfillment of the requirements for the Degree Doctor of Philosophy (Computer Science) by Erin Griffiths December 2019 © 2019 Erin Griffiths Approval Sheet This dissertation is submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy (Computer Science) Erin Griffiths This dissertation has been read and approved by the Examining Committee: Kamin Whitehouse, Adviser Jack Stankovic, Committee Chair Mary Lou Soffa A.J. Brush John Lach Accepted for the School of Engineering and Applied Science: Dean, School of Engineering and Applied Science December 2019 i To everyone who has helped me along the way. ii Abstract In the world today there exists a large number of problems that are of great societal concern, but suffer from a problem called the tragedy of the commons where there isn`t enough individual incentive for people to change their behavior to benefit the whole. One of the biggest examples of this is in energy consumption where research has shown that we can reduce 20-50% of the energy used in buildings if people would consistently modify their behavior. However, consistent behavior modification to meet societal goals that are often low priority on a personal level is often prohibitively difficult in the long term. Even systems design to assist in meeting these needs may be unused or disabled if they require too much effort, infringe on privacy, or are frustratingly inaccurate. -
Ambient Intelligence
Ambient intelligence Ambient intelligence is closely related to the long term vision of an intelligent service system in which technolo- gies are able to automate a platform embedding the re- quired devices for powering context aware, personalized, adaptive and anticipatory services. Where in other me- dia environment the interface is clearly distinct, in an ubiquitous environment 'content' differs. Artur Lugmayr defined such a smart environment by describing it as ambient media. It is constituted of the communication of information in ubiquitous and pervasive environments. The concept of ambient media relates to ambient media form, ambient media content, and ambient media tech- nology. Its principles have been established by Artur Lug- mayr and are manifestation, morphing, intelligence, and experience.[1][2] An (expected) evolution of computing from 1960–2010. A typical context of ambient intelligence environment is In computing, ambient intelligence (AmI) refers to a Home environment (Bieliková & Krajcovic 2001). electronic environments that are sensitive and respon- sive to the presence of people. Ambient intelligence is a vision on the future of consumer electronics, 1 Overview telecommunications and computing that was originally developed in the late 1990s for the time frame 2010– 2020. In an ambient intelligence world, devices work in More and more people make decisions based on the effect concert to support people in carrying out their everyday their actions will have on their own inner, mental world. life activities, tasks and rituals in an easy, natural way us- This experience-driven way of acting is a change from ing information and intelligence that is hidden in the net- the past when people were primarily concerned about the work connecting these devices (see Internet of Things). -
Artificial Intelligence in Healthcare: Review and Prediction Case Studies
Engineering xxx (xxxx) xxx Contents lists available at ScienceDirect Engineering journal homepage: www.elsevier.com/locate/eng Research Artificial Intelligence—Review Artificial Intelligence in Healthcare: Review and Prediction Case Studies ⇑ Guoguang Rong a,b, Arnaldo Mendez c, Elie Bou Assi c, Bo Zhao d, Mohamad Sawan a,b,c, a School of Engineering, Westlake University, Hangzhou 310024, China b Institute of Advanced Study, Westlake Institute for Advanced Study, Hangzhou 310024, China c Polystim Neurotech Laboratory, Polytechnique Montréal, Montréal QC, H3T1J4, Canada d Institute of VLSI Design, College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou 310027, China article info abstract Article history: Artificial intelligence (AI) has been developing rapidly in recent years in terms of software algorithms, Received 10 February 2019 hardware implementation, and applications in a vast number of areas. In this review, we summarize Revised 16 August 2019 the latest developments of applications of AI in biomedicine, including disease diagnostics, living assis- Accepted 26 August 2019 tance, biomedical information processing, and biomedical research. The aim of this review is to keep Available online xxxx track of new scientific accomplishments, to understand the availability of technologies, to appreciate the tremendous potential of AI in biomedicine, and to provide researchers in related fields with inspira- Keywords: tion. It can be asserted that, just like AI itself, the application of AI in biomedicine is still in its early stage. Artificial intelligence New progress and breakthroughs will continue to push the frontier and widen the scope of AI application, Machine learning Deep learning and fast developments are envisioned in the near future. -
A. Define and Explain the Internet of Things
IoT Solutions 1. Attempt any three of the following: a. Define and explain the Internet of Things. Ans: The Internet of things is defined as a paradigm in which objects equipped with sensors, actuators, and processors communicate with each other to serve a meaningful purpose. Equation of Internet of Things: Physical Object + Controllers, Sensors and Actuators + Internet = Internet of Things Physical Object: Devices, vehicles, buildings and other items which are embedded with electronics, software, sensors, and network connectivity, which enables these objects to collect and exchange data. Controllers: A controller, in a computing context, is a hardware device or a software program that manages or directs the flow of data between two entities In a general sense, a controller can be thought of as something or someone that interfaces between two systems and manages communications between them. Sensors: Sensor is a device, module, or subsystem whose purpose is to detect events or changes in its environment and send the information to other electronics, frequently a computer processor. A sensor is always used with other electronics. Actuators: An actuator is a component of a machine that is responsible for moving and controlling a mechanism or system. Internet: The internet is a globally connected network system that uses TCP/IP to transmit data via various types of media. The internet is a network of global exchanges – including private, public, business, academic and government networks – connected by guided, wireless and fiber-optic technologies. Example of Internet of Things: In your kitchen, a blinking light reminds you it’s time to take your tablets. -
Ambient Intelligence in Assistive Technologies
G.A.247447 Collaborative Project of the 7th Framework Programme Work Package 5 AmI and Social Network Services D.5.1: Ambient Intelligence in Assistive Technologies Fundació Privada Barcelona Digital Centre Tecnològic Version 1.1 29/04/2010 www.BrainAble.org Document Information Project Number 247447 Acronym BrainAble Full title Autonomy and social inclusion through mixed reality Brain‐Computer Interfaces: connecting the disabled to their physical and social world Project URL http://www.BrainAble.org EU Project officer Jan Komarek Deliverable Number 5.1 Title Ambient Intelligence in Assistive Technologies Work package Number 5 Title AmI and Social Network Services Date of delivery Contractual PM04 Actual PM04 Status Reviewed Final Nature Prototype Report Dissemination Other Dissemination Level Public Consortium Authors (Partner) Fundació Privada Barcelona Digital Centre Tecnològic (BDCT) Responsible Author Agustin Navarro Email [email protected] Partner BDCT Phone +34 93 553 45 40 Abstract State of the Art about Ambient Intelligence with special emphasis to its application in (for assisted environments dissemination) Keywords AmI, Ambient Assisted Living, Context‐awareness, Smart devices, Interoperability Version Log Issue Date Version Author Change 31/01/2010 DRAFT ‐ v.0.1 Agustin Navarro First released version for internal reviewers 28/04/2010 Version 1.0 Agustin Navarro Details and feedback from partners 28/04/2010 Version 1.1 Agustin Navarro Formatting, final version released to the P.O. The information in this document is provided as is and no guarantee or warranty is given that the information is fit for any particular purpose. The user thereof uses the information at its sole risk and liability. -
Analysis of Cognitive Load Using EEG When Interacting with Mobile Devices †
Proceedings Analysis of Cognitive Load Using EEG when Interacting with Mobile Devices † Luis Cabañero 1,*, Ramón Hervás 1, Iván González 1, Jesús Fontecha 1, Tania Mondéjar 2 and José Bravo 1 1 Department of Information Systems and Technologies, University of Castilla–La Mancha, 13071 Ciudad Real, Spain; [email protected] (R.H.); [email protected] (I.G.); [email protected] (J.F.); [email protected] (J.B.) 2 Department of Psychology, University of Castilla–La Mancha, 13071 Ciudad Real, Spain; [email protected] * Correspondence: [email protected]; Tel.: +34-926-295-300 † Presented at the 13th International Conference on Ubiquitous Computing and Ambient Intelligence UCAmI 2019, Toledo, Spain, 2–5 December 2019. Published: 21 November 2019 Abstract: The study of cognitive responses and processes while using applications is a critical field in human–computer interaction. This paper aims to determine the mental effort required for different typical tasks with smartphones. Mental effort is typically associated with the concept of cognitive load, and has been studied by analyzing electroencephalography (EEG) signals. Thus, this paper shows the results of analyzing the cognitive load of a set of characteristic tasks on smartphones. To determine the set of tasks to analyze, this paper proposes a taxonomy of smartphone-based actions defined after considering the related proposals in the literature and identifying the significant characteristics of the tasks to classify them. The EEG data was obtained through an experiment with real users doing tasks from the aforementioned taxonomy. The results show significant differences in the cognitive load of each task category and identify those tasks that involve a higher degree of mental effort. -
Core Concept: the Internet of Things and the Explosion of Interconnectivity
CORE CONCEPTS The Internet of Things and the explosion of interconnectivity CORE CONCEPTS Stephen Ornes, Science Writer It was 1982, and a group of computer science graduate students at Carnegie Mellon University in Pittsburgh, Pennsylvania, was thirsty for more than knowledge: some wanted a Coca Cola. But the researchers were frustrated. The Coke machine was on the third floor of the university’s Wean Hall, and oftentimes they’d venture up to the dis- penser only to find it empty, or worse, full of warm soda. So the scientists connected the machine to the university’s computer network. By checking online, thirsty researchers could ensure the machine was stocked with cold bottles before visiting. This turned out to be more than an achieve- ment in efficient caffeine delivery; it’s thought to be one of the first noncomputer objects to go online (1). The notion of pervasive computing entails a vision of the world in which computing isn’t limited to tab- lets, smartphones, and laptops. The realization of this vision, called the “Internet of Things” (IoT), is the ever- expanding collection of connected devices that cap- ture and share data. Any object, outfitted with the right Pervasive computing and its realization, known as the “Internet of Things,” entails sensors, can observe and interact with its environment. an ever-expanding collection of connected devices that capture and share data. A homeowner can adjust the thermostat, close the Image courtesy of Shutterstock/a-image. blinds, or raise a garage door with a voice command to a smartphone app. A connected refrigerator can send a list of its inventory to a shopper. -
Ubiquitous Computing Research at PARC in the Late 1980S
The origins of ubiquitous computing research at PARC in the late 1980s by M. Weiser R. Gold † J. S. Brown ‡ Ubiquitous computing began in the Electronics At the same time, the anthropologists of the Work and Imaging Laboratory of the Xerox Palo Alto Practices and Technology area within PARC, led by Research Center. This essay tells the inside story of its evolution from “computer walls” to “calm Lucy Suchman, were observing the way people re- computing.” ally used technology, not just the way they claimed to use technology. To some of the technologists at PARC, myself included, their observations led toward thinking less about particular features of a comput- er—such as random access memory and number of pixels or megahertz—and much more about the de- n late 1987, Bob Sprague, Richard Bruce, and tailed situational use of the technology. In partic- other members of the Xerox Palo Alto Research I ular, how were computers embedded within the com- Center (PARC) Electronics and Imaging Laboratory plex social framework of daily activity, and how did (EIL) proposed fabricating large, wall-sized, flat- they interplay with the rest of our densely woven panel computer displays from large-area amorphous physical environment (also known as “the real silicon sheets. It was thought at the time that this world”)? technology might also permit these displays to func- tion as input devices for electronic pens and also for From these converging forces (“from atoms to cul- the scanning of images (by placing documents di- ture,” as we like to say of PARC) emerged the Ubiq- rectly against the displays). -
Challenges in Ubiquitous Computing and Networking Management
APNOMS 2003 DEP, Fukuoka, Japan Challenges in Ubiquitous Computing and Networking Management Jong T. Park ([email protected]) Kyungpook National University Korea Ubiquitous Computing & Networking Environment Electronic Cyber Space Smart Real Space Internet Internet Home Network Server (G)MPLS Server Fusion IPv6 Hot Spots 3G/4G Convergence UWB Tiny Invisible Objects Notebook Smart Interface Sensors Web/XML Actuators Bluetooth Multimedia Wearable Handheld Device Computing KNU AIN Lab. APNOMS’2003 2 Features of Cyber Space and Smart Real Space Electronic Cyber Space Smart Real Space Any (time, where, format) Any (device, object)+ Client/Server Computing, P2P Proactive & Embedded (G)MPLS, Broadband Access Computing Network Sensors, MEMS, Wearable B3G/4G, NGN, Post PC, IPv4/v6, Computing, IPv6(+), Near Field XML Communication (UWB, ..) Converging Networks Ad-hoc networks, Home networking Communication/Banking, Comm./(Music/TV Broadcasting), Telematics/Telemetry, e-commerce/government, … u-commerce/government /university/library KNU AIN Lab. APNOMS’2003 3 Current Issues in Ubiquitous Computing and Networking Current Technical Issues Low Power Intelligent Tiny Chip and Sensors Ubiquitous Interface Near-field Communication (UWB, ..), IPv6 Protection of Privacy and Security Management Intelligent Personalization Non-Technical Issues Laws and Regulation Sociological Impact KNU AIN Lab. APNOMS’2003 4 Research Projects America MIT’s Auto-ID and Oxigen, Berkeley’s Smart Dust, NIST’s Smart Space MS’s EasyLiving, HP’s CoolTown Europe -
The Coming Age of Calm Technology
Bits flowing through the wires of a computer network are invisible; a “network monitor” Page 1 of 8 Bits flowing through the wires of a computer network are invisible; a “network monitor...” Page 2 of 8 for the road. Any computer with which you have a special relationship, or that fully engages or THE COMING AGE OF occupies you when you use it, is a personal computer. Most handheld computers, such as the Zaurus, the Newton, or the Pilot, are today still used as personal computers. A $500 network computer is still CALM TECHNOLOGY[1] a personal computer. Mark Weiser and John Seely Brown TRANSITION - THE INTERNET AND DISTRIBUTED Xerox PARC October 5, 1996 COMPUTING A lot has been written about the Internet and where it is leading. We will say only a little. The INTRODUCTION Internet is deeply influencing the business and practice of technology. Millions of new people and their information have become interconnected. Late at night, around 6am while falling asleep after twenty hours at the keyboard, the sensitive technologist can sometimes hear those 35 million web pages, 300 thousand hosts, and 90 million users shouting "pay attention to me!" The important waves of technological change are those that fundamentally alter the place of technology in our lives. What matters is not technology itself, but its relationship to us. Interestingly, the Internet brings together elements of the mainframe era and the PC era. It is client- server computing on a massive scale, with web clients the PCs and web servers the mainframes In the past fifty years of computation there have been two great trends in this relationship: the (without the MIS department in charge). -
Taking the Internet to the Next Physical Level
THE IOT CONNECTION Taking the Internet to the Next Physical Level Vint Cerf and Max Senges, Google Research Our physical universe has been transformed by computing’s ubiquity. The authors describe the challenges and delights we’ll find in a future enabled by the Internet of Things. e’ve come a long way since the article in which Mark Weiser FROM THE EDITOR envisioned small, With the realization of the ideas behind the Internet of Things (IoT)— a network ubiquitous,W connected computers of everyday items with embedded computers that can connect directly or indi- that enhanced all aspects of our rectly to the Internet—we’re entering the era of ubiquitous computing. As the IoT lives.1 Here, we present our analy- takes root, the number of devices connecting to the Internet is likely to increase sis of the architectural leitmotifs 10- or even 100-fold over the next 10 years, forever changing our relationship with that should be pursued so the In- “things”—now they’ll be smart: smart devices, smart homes, smart buildings, and ternet of Things (IoT) ecosystem smart cities. can enjoy the staggering success of Although its origins date back to 1999, the IoT’s core ideas were first described the Internet, which resulted in the in Mark Weiser’s vision of ubiquitous computing in 1988. Although these ideas have been around for more than 25 years, it has only recently become practical for World Wide Web. By success, we high-performance processing and networking to be built into everyday products. mean the economic value and the We now have the ability to augment our things’ capabilities at a reasonable cost social and technological innova- and size: this embedded computing—with the equivalent performance of a com- tion these platforms have brought plete 1980s-era workstation—can be added to products for less than $10.