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000917057 019__ $$a1129156569
000917057 020__ $$a9783030342555$$q(electronic book)
000917057 020__ $$a3030342557$$q(electronic book)
000917057 020__ $$z9783030342548
000917057 0247_ $$a10.1007/978-3-030-34255-5$$2doi
000917057 0247_ $$a10.1007/978-3-030-34
000917057 035__ $$aSP(OCoLC)on1127291018
000917057 035__ $$aSP(OCoLC)1127291018$$z(OCoLC)1129156569
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000917057 049__ $$aISEA
000917057 050_4 $$aQA76.76.A65
000917057 08204 $$a005.7$$223
000917057 1112_ $$aAmI (International Joint Conference)$$n(15th :$$d2019 :$$cRome, Italy)
000917057 24510 $$aAmbient intelligence :$$b15th European Conference, AmI 2019, Rome, Italy, November 13-15, 2019, Proceedings /$$cIoannis Chatzigiannakis, Boris De Ruyter, Irene Mavrommati (eds.).
000917057 2463_ $$aAmI 2019
000917057 264_1 $$aCham, Switzerland :$$bSpringer,$$c2019.
000917057 300__ $$a1 online resource (xiii, 378 pages) :$$billustrations.
000917057 336__ $$atext$$btxt$$2rdacontent
000917057 337__ $$acomputer$$bc$$2rdamedia
000917057 338__ $$aonline resource$$bcr$$2rdacarrier
000917057 4901_ $$aLecture notes in computer science ;$$v11912
000917057 4901_ $$aLNCS sublibrary. SL 3, Information systems and applications, incl. Internet/Web, and HCI
000917057 500__ $$aInternational conference proceedings.
000917057 500__ $$aIncludes author index.
000917057 5050_ $$aAmbient Lighting atmospheres for influencing Emotional Expressiveness and Cognitive Performance -- Power efficient clock synchronization in Bluetooth-based mesh networks -- Classifying Teachers Self-Reported Productivity, Stress and Indoor Environmental Quality using Environmental Sensors -- User Requirements for the Design of Smart Homes: Dimensions and Goals -- A Clustering Approach for Profiling LoRaWAN IoT Devices -- Experiences from Using Gamification and IoT-based Educational Tools in High Schools towards Energy Savings -- IL4IoT: Incremental Learning for Internet-of-Things Devices -- Enhanced Buying Experiences in Smart Cities: The SMARTBUY approach -- Action Recognition Using Local Visual Descriptors and Inertial Data -- CircuitsMaster: An online End-User Development environment for IoT electronics -- Enabling Machine Learning across Heterogeneous Sensor Networks with Graph Autoencoders -- Development of an Acoustically Adaptive Modular System for Near Real-Time Clarity-Enhancement -- Experiences from Using LoRa and IEEE 802.15.4 for IoT-enabled Classrooms -- Adaptive Service Selection for enabling the Mobility of Autonomous Vehicles -- Discovering User Location Semantics using Mobile Notification Handling Behaviour -- Data-driven Intrusion Detection for Ambient Intelligence -- Spoken Language Identification using ConvNets -- Indoor Air Quality and Wellbeing -- Enabling Awareness and Sensitivity with Ambient IoT Displays -- ATHsENSe: an experiment on translating urban data to multisensory immersive artistic experiences in public space -- Characterization of Individual Mobility for Non-Routine Scenarios from Crowd Sensing and Clustered Data -- A Flexible and Scalable Architecture for Human-Robot Interaction -- Toward Supporting Food Journaling using Air Quality Data Mining and a Social Robot -- Viewing Experience of Augmented Reality Objects as Ambient Media -- A Comparison of Multimedia Devices -- System Engineering Design for Ambient-Intelligent Decision S upport System for Smart Manufacturing -- Ranking robot-assisted surgery skills using kinematic sensors -- uAQE: Urban Air Quality Evaluator -- Enhancing an eco-driving gamification platform through wearable and vehicle sensor data integration -- A distributed Multi-Agent System (MAS) application for continuous and integrated Big Data processing -- Human Activities Recognition using Accelerometer and Gyroscope -- Towards Habit Recognition in Smart Homes for People with Dementia -- Ambient Explanations: Ambient Intelligence and Explainable AI.
000917057 506__ $$aAccess limited to authorized users.
000917057 520__ $$aThis book constitutes the refereed proceedings of the 15th European Conference on Ambient Intelligence, AmI 2019, held in Rome, Italy, in November 2019. The 20 full papers presented together with 10 short papers were carefully reviewed and selected from 50 submissions. The papers cover topics such as embedded devices that can merge unobtrusively and in natural ways using information and intelligence hidden in the network connecting these devices (e.g., the Internet of Things). The main topic of AmI 2019 was "Data-driven Ambient Intelligence," which follows the vision of Calm Technology, where technology is useful but does not demand our full attention or interfere with our usual behavior and activities.
000917057 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed November 12, 2019).
000917057 650_0 $$aAmbient intelligence$$vCongresses.
000917057 7001_ $$aChatzigiannakis, Ioannis,$$eeditor.
000917057 7001_ $$aDe Ruyter, Boris,$$eeditor.
000917057 7001_ $$aMavrommati, Irene,$$eeditor.
000917057 830_0 $$aLecture notes in computer science ;$$v11912.
000917057 830_0 $$aLNCS sublibrary.$$nSL 3,$$pInformation systems and applications, incl. Internet/Web, and HCI.
000917057 852__ $$bebk
000917057 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-030-34255-5$$zOnline Access$$91397441.1
000917057 909CO $$ooai:library.usi.edu:917057$$pGLOBAL_SET
000917057 980__ $$aEBOOK
000917057 980__ $$aBIB
000917057 982__ $$aEbook
000917057 983__ $$aOnline
000917057 994__ $$a92$$bISE