FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2891054640> ?p ?o ?g. }

• W2891054640 abstract "The implementation of smart building technology in the form of smart infrastructure applications has great potential to improve sustainability and energy efficiency by leveraging humans-in-the-loop strategy. However, human preference in regard to living conditions is usually unknown and heterogeneous in its manifestation as control inputs to a building. Furthermore, the occupants of a building typically lack the independent motivation necessary to contribute to and play a key role in the control of smart building infrastructure. Moreover, true human actions and their integration with sensing/actuation platforms remains unknown to the decision maker tasked with improving operational efficiency. By modeling user interaction as a sequential discrete game between non-cooperative players, we introduce a gamification approach for supporting user engagement and integration in a human-centric cyber-physical system. We propose the design and implementation of a large-scale network game with the goal of improving the energy efficiency of a building through the utilization of cutting-edge Internet of Things (IoT) sensors and cyber-physical systems sensing/actuation platforms. A benchmark utility learning framework that employs robust estimations for classical discrete choice models provided for the derived high dimensional imbalanced data. To improve forecasting performance, we extend the benchmark utility learning scheme by leveraging Deep Learning end-to-end training with Deep bi-directional Recurrent Neural Networks. We apply the proposed methods to high dimensional data from a social game experiment designed to encourage energy efficient behavior among smart building occupants in Nanyang Technological University (NTU) residential housing. Using occupant-retrieved actions for resources such as lighting and A/C, we simulate the game defined by the estimated utility functions." @default.
• W2891054640 created "2018-09-27" @default.
• W2891054640 creator A5003179503 @default.
• W2891054640 creator A5011186506 @default.
• W2891054640 creator A5013076652 @default.
• W2891054640 creator A5033005585 @default.
• W2891054640 creator A5033461907 @default.
• W2891054640 creator A5051176473 @default.
• W2891054640 date "2018-09-13" @default.
• W2891054640 modified "2023-09-27" @default.
• W2891054640 title "A Deep Learning and Gamification Approach to Energy Conservation at Nanyang Technological University." @default.
• W2891054640 cites W146833310 @default.
• W2891054640 cites W1677182931 @default.
• W2891054640 cites W1686810756 @default.
• W2891054640 cites W1850742715 @default.
• W2891054640 cites W1895577753 @default.
• W2891054640 cites W1909320841 @default.
• W2891054640 cites W1983471712 @default.
• W2891054640 cites W1995341919 @default.
• W2891054640 cites W1996010442 @default.
• W2891054640 cites W1997898472 @default.
• W2891054640 cites W2023715768 @default.
• W2891054640 cites W2027643805 @default.
• W2891054640 cites W2035949192 @default.
• W2891054640 cites W2044893557 @default.
• W2891054640 cites W2051527160 @default.
• W2891054640 cites W2066745169 @default.
• W2891054640 cites W2074075796 @default.
• W2891054640 cites W2075225248 @default.
• W2891054640 cites W2077202169 @default.
• W2891054640 cites W2079745403 @default.
• W2891054640 cites W2095705004 @default.
• W2891054640 cites W2096452841 @default.
• W2891054640 cites W2100371189 @default.
• W2891054640 cites W2106949712 @default.
• W2891054640 cites W2126466893 @default.
• W2891054640 cites W2130325614 @default.
• W2891054640 cites W2136922672 @default.
• W2891054640 cites W2144994235 @default.
• W2891054640 cites W2148143831 @default.
• W2891054640 cites W2154053567 @default.
• W2891054640 cites W2168257715 @default.
• W2891054640 cites W2173520492 @default.
• W2891054640 cites W2176412452 @default.
• W2891054640 cites W2184468295 @default.
• W2891054640 cites W2295959395 @default.
• W2891054640 cites W2307546884 @default.
• W2891054640 cites W2505780710 @default.
• W2891054640 cites W2525778437 @default.
• W2891054640 cites W2557283755 @default.
• W2891054640 cites W2557701127 @default.
• W2891054640 cites W2567089506 @default.
• W2891054640 cites W2595984151 @default.
• W2891054640 cites W2623547241 @default.
• W2891054640 cites W2735845250 @default.
• W2891054640 cites W2885456264 @default.
• W2891054640 cites W2891969665 @default.
• W2891054640 cites W2949117887 @default.
• W2891054640 cites W2950178297 @default.
• W2891054640 cites W2951004968 @default.
• W2891054640 cites W2964221983 @default.
• W2891054640 cites W3123108439 @default.
• W2891054640 cites W118427950 @default.
• W2891054640 cites W2278956600 @default.
• W2891054640 hasPublicationYear "2018" @default.
• W2891054640 type Work @default.
• W2891054640 sameAs 2891054640 @default.
• W2891054640 citedByCount "2" @default.
• W2891054640 countsByYear W28910546402018 @default.
• W2891054640 countsByYear W28910546402019 @default.
• W2891054640 crossrefType "posted-content" @default.
• W2891054640 hasAuthorship W2891054640A5003179503 @default.
• W2891054640 hasAuthorship W2891054640A5011186506 @default.
• W2891054640 hasAuthorship W2891054640A5013076652 @default.
• W2891054640 hasAuthorship W2891054640A5033005585 @default.
• W2891054640 hasAuthorship W2891054640A5033461907 @default.
• W2891054640 hasAuthorship W2891054640A5051176473 @default.
• W2891054640 hasConcept C107457646 @default.
• W2891054640 hasConcept C108583219 @default.
• W2891054640 hasConcept C110875604 @default.
• W2891054640 hasConcept C119599485 @default.
• W2891054640 hasConcept C121332964 @default.
• W2891054640 hasConcept C127413603 @default.
• W2891054640 hasConcept C13280743 @default.
• W2891054640 hasConcept C136764020 @default.
• W2891054640 hasConcept C154945302 @default.
• W2891054640 hasConcept C185798385 @default.
• W2891054640 hasConcept C205649164 @default.
• W2891054640 hasConcept C26517878 @default.
• W2891054640 hasConcept C2742236 @default.
• W2891054640 hasConcept C2775924081 @default.
• W2891054640 hasConcept C38652104 @default.
• W2891054640 hasConcept C41008148 @default.
• W2891054640 hasConcept C83931994 @default.
• W2891054640 hasConcept C97355855 @default.
• W2891054640 hasConceptScore W2891054640C107457646 @default.
• W2891054640 hasConceptScore W2891054640C108583219 @default.
• W2891054640 hasConceptScore W2891054640C110875604 @default.
• W2891054640 hasConceptScore W2891054640C119599485 @default.
• W2891054640 hasConceptScore W2891054640C121332964 @default.

• next