Orchestrating Data as a Services-Based Computing and Communication Model for Information-Centric Internet of Things

Autor: Zhengyan Ding, Kaoru Ota, Yuxin Liu, Ning Zhang, Ming Zhao, Houbing Song, Anfeng Liu, Cai Zhiping

Publikováno v: IEEE Access, Vol 6, Pp 38900-38920 (2018)

With the explosive growth of the Internet of Things, the gap between the rapidly growing demands of data rates and the existing bandwidth-limited network infrastructures has become increasingly prominent, leading to network congestion, high latency,

Externí odkaz: https://doaj.org/article/ba9259f9e8ea4bd29e09a88fc66b4c91

Aerial Image Stitching via Transformation Space Filtering

Autor: Zhengyan Ding, Zhiguo Yan, Hao Wang

Publikováno v: 2020 IEEE 8th International Conference on Information, Communication and Networks (ICICN).

The high-quality stitching of aerial image captured using Unmanned Aerial Vehicle (UAVs) is a challenging problem, because the image may have deformation, wide baseline, low texture and different resolution in the overlapping area. This paper present

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::7b4c3863d8812b58491ff4b7033cb491
https://doi.org/10.1109/icicn51133.2020.9205075

Orchestrating Data as a Services-Based Computing and Communication Model for Information-Centric Internet of Things

Autor: Ming Zhao, Yuxin Liu, Cai Zhiping, Anfeng Liu, Houbing Song, Ning Zhang, Kaoru Ota, Zhengyan Ding

Publikováno v: IEEE Access, Vol 6, Pp 38900-38920 (2018)

With the explosive growth of the Internet of Things, the gap between the rapidly growing demands of data rates and the existing bandwidth-limited network infrastructures has become increasingly prominent, leading to network congestion, high latency,

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8275fb6c937925b79112aa656e0fbb2d
https://doi.org/10.1109/access.2018.2853134

Deep Ensemble Effectively and Efficiently for Vehicle Instance Retrieval

Autor: Shaoxi Xu, Zhengyan Ding, Xiaoteng Zhang, Lei Song, Na Duan

Publikováno v: Lecture Notes in Business Information Processing
11th International Conference on Research and Practical Issues of Enterprise Information Systems (CONFENIS)
11th International Conference on Research and Practical Issues of Enterprise Information Systems (CONFENIS), Oct 2017, Shanghai, China. pp.192-201, ⟨10.1007/978-3-319-94845-4_17⟩
Lecture Notes in Business Information Processing ISBN: 9783319948447
CONFENIS

Part 5: Intelligent Electronics and Systems for Industrial IoT; International audience; This paper aims to highlight instance retrieval tasks centered around ‘vehicle’, due to its wide range of applications in surveillance scenario. Recently, ima

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::89eac369e88d9f94d6a7b42d8ac0f7fb
https://hal.inria.fr/hal-01888642