Open Access
ARTICLE
Malak Abid Ali Khan1,2, Xiaofeng Lian1,*, Imran Khan Mirani1,3, Li Tan4
Journal on Big Data, Vol.3, No.2, pp. 49-63, 2021, DOI:10.32604/jbd.2021.016213
Abstract The demand for Electronic Shelf Labels (ESL), according to the
Internet of Things (IoT) paradigm, is expected to grow considerably in the
immediate future. Various wireless communication standards are currently
contending to gain an edge over the competition and provide the massive
connectivity that will be required by a world in which everyday objects are
expected to communicate with each other. Low-Power Wide-Area Networks
(LPWANs) are continuously gaining momentum among these standards, mainly
thanks to their ability to provide long-range coverage to devices, exploiting
license-free frequency bands. The main theme of this work is one of the most
prominent LPWAN… More >
Open Access
ARTICLE
Diantao Hu, Cong Zhang*, Wenqi Cao, Xintao Lv, Songwu Xie
Journal on Big Data, Vol.3, No.2, pp. 65-76, 2021, DOI:10.32604/jbd.2021.016317
Abstract Grain yield security is a basic national policy of China, and changes in
grain yield are influenced by a variety of factors, which often have a complex,
non-linear relationship with each other. Therefore, this paper proposes a Grey
Relational Analysis–Adaptive Boosting–Support Vector Regression (GRAAdaBoost-SVR) model, which can ensure the prediction accuracy of the model
under small sample, improve the generalization ability, and enhance the prediction
accuracy. SVR allows mapping to high-dimensional spaces using kernel functions,
good for solving nonlinear problems. Grain yield datasets generally have small
sample sizes and many features, making SVR a promising application for grain
yield datasets.… More >
Open Access
ARTICLE
Mingyang Duan, Jin Liu*, Shiqi Lv
Journal on Big Data, Vol.3, No.2, pp. 77-83, 2021, DOI:10.32604/jbd.2021.016674
Abstract Image caption generation is an essential task in computer vision and
image understanding. Contemporary image caption generation models usually
use the encoder-decoder model as the underlying network structure. However, in
the traditional Encoder-Decoder architectures, only the global features of the
images are extracted, while the local information of the images is not well
utilized. This paper proposed an Encoder-Decoder model based on fused features
and a novel mechanism for correcting the generated caption text. We use VGG16
and Faster R-CNN to extract global and local features in the encoder first. Then,
we train the bidirectional LSTM network with the fused… More >
Open Access
ARTICLE
Xinwei Zhong*, Lizhi Xiong, Zhihua Xia
Journal on Big Data, Vol.3, No.2, pp. 85-95, 2021, DOI:10.32604/jbd.2021.018618
Abstract With the rise of the Internet of Things (IoT), various devices in life and
industry are closely linked. Because of its high payload, stable error correction
capability, and convenience in reading and writing, Quick Response (QR) code
has been widely researched in IoT. However, the security of privacy data in IoT is
also a very important issue. At the same time, because IoT is developing towards
low-power devices in order to be applied to more fields, the technology protecting
the security of private needs to have the characteristics of low computational
complexity. Visual Secret Sharing (VSS), with its features of… More >
Open Access
RETRACTION
Neeraj Kumar Sirohi, Mamta Bansal, S. N. Rajan
Journal on Big Data, Vol.3, No.2, pp. 97-97, 2021, DOI:10.32604/jbd.2021.041299
Abstract This article has no abstract. More >
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