Tsapparellas, Giorgos Jin, Nanlin Dai, Xuewu Fehringer, Gerhard
Published in
Sensors (Basel, Switzerland)
Internet of things (IoT) systems generate a large volume of data all the time. How to choose and transfer which data are essential for decision-making is a challenge. This is especially important for low-cost and low-power designs, for example Long-Range Wide-Area Network (LoRaWan)-based IoT systems, where data volume and frequency are constrained ...
Twomey-Kozak, John Desai, Salomi Liu, Wenguang Li, Neill Y Lemme, Nicholas Chen, Qian Owens, Brett D Jayasuriya, Chathuraka T
Published in
International journal of molecular sciences
Chondrocyte hypertrophy is a hallmark of osteoarthritis (OA) pathology. In the present study, we elucidated the mechanism underlying the relationship between the hypertrophy/apoptotic phenotype and OA pathogenesis in bone marrow-derived mesenchymal stem cells (BM-MSCs) via gene targeting of distal-less homeobox 5 (DLX5). Our primary objectives were...
Derkacheva, Anna Mouginot, Jeremie Millan, Romain Maier, Nathan Gillet-Chaulet, Fabien
During the last decade, the number of available satellite observations has increased significantly, allowing for far more frequent measurements of the glacier speed. Appropriate methods of post-processing need to be developed to efficiently deal with the large volumes of data generated and relatively large intrinsic errors associated with the measu...
valero-mas, jose j. castellanos, francisco j.
Within the Pattern Recognition field, two representations are generally considered for encoding the data: statistical codifications, which describe elements as feature vectors, and structural representations, which encode elements as high-level symbolic data structures such as strings, trees or graphs. While the vast majority of classifiers are cap...
stansberg, carl trygve
In design storm sea states, wave-in-deck forces need to be analysed for fixed and floating offshore platforms. Due to the complex physics of wave impact phenomena, numerical analyses should be complemented by model test data. With a large statistical variability, such experiments usually involve running many 3-h storm realisations. Efforts are bein...
tagawa, kiyoharu
In this paper, a new approach to solve Chance Constrained Problems (CCPs) using huge data sets is proposed. Specifically, instead of the conventional mathematical model, a huge data set is used to formulate CCP. This is because such a large data set is available nowadays due to advanced information technologies. Since the data set is too large to e...
Park, Junho Chung, Yoojin Choi, Jongmoo
Published in
Sensors (Basel, Switzerland)
A variety of deep learning techniques are actively employed for advanced driver assistance systems, which in turn require gathering lots of heterogeneous driving data, such as traffic conditions, driver behavior, vehicle status and location information. However, these different types of driving data easily become more than tens of GB per day, formi...
Hofman, M. P. G Hayward, Matt W. Heim, M. Marchand, P. Rolandsen, C. M. Mattisson, J. Urbano, F. Heurich, Marco Mysterud, A. Melzheimer, Joerg
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Satellite telemetry is an increasingly utilized technology in wildlife research, and current devices can track individual animal movements at unprecedented spatial and temporal resolutions. However, as we enter the golden age of satellite telemetry, we need an in-depth understanding of the main technological, species-specific and environmental fact...
Srivastava, Deepansh Vosegaard, Thomas Massiot, Dominique Grandinetti, Philip
The Core Scientific Dataset (CSD) model with JavaScript Object Notation (JSON) serialization is presented as a lightweight, portable, and versatile standard for intra-and interdisciplinary scientific data exchange. This model supports datasets with a p-component dependent variable, {U 0 ,. .. , U q ,. .. , U p 1 }, discretely sampled at M unique po...
Ye, Yifan
Efficient data collection is one of the key research areas for 5G and beyond, since it can reduce the network burden of transferring massive data for various data analytics and machine learning applications. Specifically, 5G offers great support for massive deployment of IoT devices, and the number of IoT devices is exploding.There are mainly two c...
