Open Access
ARTICLE
Kang Yang1, Jielin Jiang1,2,*, Zhaoqing Pan1,2
Journal of New Media, Vol.2, No.1, pp. 1-10, 2020, DOI:10.32604/jnm.2020.09356
Abstract Due to the huge difference of noise distribution, the result of a mixture
of multiple noises becomes very complicated. Under normal circumstances, the
most common type of mixed noise is to add impulse noise (IN) and then white
Gaussian noise (AWGN). From the reduction of cascaded IN and AWGN to the
latest sparse representation, a great deal of methods has been proposed to reduce
this form of mixed noise. However, when the mixed noise is very strong, most
methods often produce a lot of artifacts. In order to solve the above problems, we
propose a method based on residual learning… More >
Open Access
ARTICLE
Li Ma, Meng Zhao*, Dongchao Ma, Yingxun Fu
Journal of New Media, Vol.2, No.1, pp. 11-20, 2020, DOI:10.32604/jnm.2020.09715
Abstract Low-power wide area network (LPWAN) has developed rapidly in
recent years and is widely used in various Internet of Things (IoT) services. In
order to reduce cost and power consumption, wide coverage, LPWAN tends to
use simple channel access control protocols, such as the Aloha protocol. This
protocol is simple with poor extension capability. In high-density environment,
Aloha protocol will lead to low channel utilization, prolonged access and high
conflict probability. Therefore, in order to solve the above problems, we propose
an enhanced channel access control mechanism based on the existing LoRaWAN
protocol, that is, a dynamic listening backoff mechanism.… More >
Open Access
ARTICLE
Tao Li, Hao Li*, Sheng Zhong, Yan Kang, Yachuan Zhang, Rongjing Bu, Yang Hu
Journal of New Media, Vol.2, No.1, pp. 21-30, 2020, DOI:10.32604/jnm.2020.09767
Abstract In view of the low interpretability of existing collaborative filtering
recommendation algorithms and the difficulty of extracting information from
content-based recommendation algorithms, we propose an efficient KGRS model.
KGRS first obtains reasoning paths of knowledge graph and embeds the entities of
paths into vectors based on knowledge representation learning TransD algorithm,
then uses LSTM and soft attention mechanism to capture the semantic of each path
reasoning, then uses convolution operation and pooling operation to distinguish the
importance of different paths reasoning. Finally, through the full connection layer
and sigmoid function to get the prediction ratings, and the items are sorted… More >
Open Access
ARTICLE
Muqadar Ali, Chungen Xu*, Abid Hussain
Journal of New Media, Vol.2, No.1, pp. 31-43, 2020, DOI:10.32604/jnm.2020.09946
Abstract Attribute-based encryption is cryptographic techniques that provide
flexible data access control to encrypted data content in cloud storage. Each trusted
authority needs proper management and distribution of secret keys to the user’s to
only authorized user’s attributes. However existing schemes cannot be applied
multiple authority that supports only a single keywords search compare to multi
keywords search high computational burden or inefficient attribute’s revocation. In
this paper, a ciphertext policy attribute-based encryption (CP-ABE) scheme has
been proposed which focuses on multi-keyword search and attribute revocation by
new policy updating feathers under multiple authorities and central authority. The
data owner encrypts… More >
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