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Advances in Computer Science and Ubi...
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Yi, Gangman.
Advances in Computer Science and Ubiquitous Computing = CSA-CUTE 17 /
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Advances in Computer Science and Ubiquitous Computing/ edited by James J. Park, Vincenzo Loia, Gangman Yi, Yunsick Sung.
其他題名:
CSA-CUTE 17 /
其他作者:
Park, James J.
面頁冊數:
XXXIX, 1482 p. 671 illus.online resource. :
Contained By:
Springer Nature eBook
標題:
Electrical engineering. -
電子資源:
https://doi.org/10.1007/978-981-10-7605-3
ISBN:
9789811076053
Advances in Computer Science and Ubiquitous Computing = CSA-CUTE 17 /
Advances in Computer Science and Ubiquitous Computing
CSA-CUTE 17 /[electronic resource] :edited by James J. Park, Vincenzo Loia, Gangman Yi, Yunsick Sung. - 1st ed. 2018. - XXXIX, 1482 p. 671 illus.online resource. - Lecture Notes in Electrical Engineering,4741876-1100 ;. - Lecture Notes in Electrical Engineering,317.
Communication System of e-Navigation between Vessel and Shore Utilizing Representation State Transfer at SeA -- Continuous-Time Estimation Filtering with Incorporation of Temporary Model Uncertainty -- Advertise Based Adaptive Model for IoT Device in Network Virtualization Environment -- Design and Implementation of a Wearable Device for the Blind by Using Deep Learning Based Object Recognition -- User Modeling Based on Smart Media Eye Tracking Depending on the Type of Interior Space -- A Study on Local Consumer Behavior User Modeling for Extended O2O Services -- Glove type Air Mouse Powered by Kalman Filtering and Complementary Filtering -- Indoor Location Recognition System Using RSSI and BSSID -- IoT-Based VR Service Model to Improve Exercise Capacity -- Traffic Prediction System Utilizing Application and Control of Environmental Information -- Study on Multi-Screen Patterns and Multi-Device Experiences in Multi-Screen Ecosystem -- Software Defined Personal Area Network for Secure and Efficient File Management -- A Study on Resource Scaling Scheme for Energy Efficiency in Cloud Datacenter.
This book presents the combined proceedings of the 12th KIPS International Conference on Ubiquitous Information Technologies and Applications (CUTE 2017) and the 9th International Conference on Computer Science and its Applications (CSA2017), both held in Taichung, Taiwan, December 18–20, 2017. The aim of these two meetings was to promote discussion and interaction among academics, researchers and professionals in the field of ubiquitous computing technologies. These proceedings reflect the state of the art in the development of computational methods, involving theory, algorithms, numerical simulation, error and uncertainty analysis and novel applications of new processing techniques in engineering, science, and other disciplines related to ubiquitous computing.
ISBN: 9789811076053
Standard No.: 10.1007/978-981-10-7605-3doiSubjects--Topical Terms:
596380
Electrical engineering.
LC Class. No.: TK1-9971
Dewey Class. No.: 621.382
Advances in Computer Science and Ubiquitous Computing = CSA-CUTE 17 /
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Communication System of e-Navigation between Vessel and Shore Utilizing Representation State Transfer at SeA -- Continuous-Time Estimation Filtering with Incorporation of Temporary Model Uncertainty -- Advertise Based Adaptive Model for IoT Device in Network Virtualization Environment -- Design and Implementation of a Wearable Device for the Blind by Using Deep Learning Based Object Recognition -- User Modeling Based on Smart Media Eye Tracking Depending on the Type of Interior Space -- A Study on Local Consumer Behavior User Modeling for Extended O2O Services -- Glove type Air Mouse Powered by Kalman Filtering and Complementary Filtering -- Indoor Location Recognition System Using RSSI and BSSID -- IoT-Based VR Service Model to Improve Exercise Capacity -- Traffic Prediction System Utilizing Application and Control of Environmental Information -- Study on Multi-Screen Patterns and Multi-Device Experiences in Multi-Screen Ecosystem -- Software Defined Personal Area Network for Secure and Efficient File Management -- A Study on Resource Scaling Scheme for Energy Efficiency in Cloud Datacenter.
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