Open Access
ARTICLE
Yingchao Wang1, Yuanhao Zhu1, Zongtian Zhang1, Huihuang Liu1,* , Peng Guo2
Journal of New Media, Vol.3, No.4, pp. 119-128, 2021, DOI:10.32604/jnm.2021.016655
Abstract In order to improve user satisfaction and loyalty on e-commerce
websites, recommendation algorithms are used to recommend products that may
be of interest to users. Therefore, the accuracy of the recommendation algorithm
is a primary issue. So far, there are three mainstream recommendation algorithms,
content-based recommendation algorithms, collaborative filtering algorithms and
hybrid recommendation algorithms. Content-based recommendation algorithms
and collaborative filtering algorithms have their own shortcomings. The contentbased recommendation algorithm has the problem of the diversity of
recommended items, while the collaborative filtering algorithm has the problem
of data sparsity and scalability. On the basis of these two algorithms, the hybrid… More >
Open Access
REVIEW
Yang Dai*, Zhiyuan Luo
Journal of New Media, Vol.3, No.4, pp. 129-136, 2021, DOI:10.32604/jnm.2021.023981
Abstract Person re-identification (re-ID) aims to match images of the same
pedestrian across different cameras. It plays an important role in the field of
security and surveillance. Although it has been studied for many years, it is still
considered as an unsolved problem. Since the rise of deep learning, the accuracy
of supervised person re-ID on public datasets has reached the highest level.
However, these methods are difficult to apply to real-life scenarios because a
large number of labeled training data is required in this situation. Pedestrian
identity labeling, especially cross-camera pedestrian identity labeling, is heavy
and expensive. Why we cannot… More >
Open Access
ARTICLE
Meimin Wang, Zhili Zhou*, Chun Ding
Journal of New Media, Vol.3, No.4, pp. 137-150, 2021, DOI:10.32604/jnm.2021.024543
Abstract Internet of Everything (IoE) has emerged as a promising paradigm for
the purpose of connecting and exchanging data among physical objects and
humans over the Internet, and it can be widely applied in the fields of industry,
transportation, commerce, and education. Recently, the emergence of 6G-enabled
cybertwin network architecture provides the technical and theoretical foundation
for the realization of IoE paradigm. However, the IoE has three open issues in the
6G-enabled cybertwin architecture, i.e., data authenticity, data storage and node
reliability. To address these issues, we propose a blockchain-based decentralized
reputation management system (BC-DRMS) for IoE in 6G-enabled Cybertwin
architecture.… More >
Open Access
ARTICLE
Xiaoying Chen1,*, Jie Kang1, Cong Hu2
Journal of New Media, Vol.3, No.4, pp. 151-180, 2021, DOI:10.32604/jnm.2021.024665
Abstract The texture of ground-based nephogram is abundant and multiplicity.
Many cloud textures are not as clear as artificial textures. A nephogram
enhancement algorithm based on Adaptive Fractional Differential is established
to extract the natural texture of visible ground-based cloud image. GrunwaldLentikov (G-L) and Grunwald-Lentikov (R-L) fractional differential operators
are applied to the enhancement algorithm of ground-based nephogram. An
operator mask based on adaptive differential order is designed. The
corresponding mask template is used to process each pixel. The results show that
this method can extract image texture and edge details and simplify the process
of differential order selection. More >
Open Access
WITHDRAWN
Qiong Wang1, Yuewen Luo1, Hongliang Guo1, Peng Guo2, Jinghao Wei1, Tie Lin1,*
Journal of New Media, Vol.3, No.4, pp. 153-153, 2021, DOI:10.32604/jnm.2021.019519
Abstract This article has no abstract. More >
Login
Register
Submit a Paper
Propose a Special lssue