Open Access
ARTICLE
Sajib Sarker, Ling Tan*, Wenjie Ma, Shanshan Rong, Osibo Benjamin Kwapong, Oscar Famous Darteh
Journal on Internet of Things, Vol.3, No.2, pp. 39-51, 2021, DOI:10.32604/jiot.2021.014877
Abstract The novel coronavirus 2019 (COVID-19) rapidly spreading around
the world and turns into a pandemic situation, consequently, detecting the
coronavirus (COVID-19) affected patients are now the most critical task for
medical specialists. The deficiency of medical testing kits leading to huge
complexity in detecting COVID-19 patients worldwide, resulting in the number
of infected cases is expanding. Therefore, a significant study is necessary about
detecting COVID-19 patients using an automated diagnosis method, which
hinders the spreading of coronavirus. In this paper, the study suggests a Deep
Convolutional Neural Network-based multi-classification framework (COVMCNet) using eight different pre-trained architectures such as VGG16, VGG19,… More >
Open Access
ARTICLE
Jesus Hamilton Ortiz1, Javier Ferney Castillo García2, Osamah Ibrahim Khalaf3, Fernando Velez
Varela2,*, Pedro Jefferson Barragan Baron2, Jhon Hadder Guzmán Atehortúa2
Journal on Internet of Things, Vol.3, No.2, pp. 53-63, 2021, DOI:10.32604/jiot.2021.014736
Abstract This work shows the development of a module that performs
measurements of electrical variables in a low voltage power transformer. These
variables are sent by means of the IEEE802.11 standard, connecting to a database
stored in the cloud; associating with the meter IoT concepts, this to allow a client
to perform an analysis, monitoring and management of their electrical network.
For the construction of this module, non-invasive current sensors connected to a
three-phase meter are used and a communication card is used that allows data to
be extracted from the meter and sent to the cloud database. This module, to… More >
Open Access
ARTICLE
Zejun Yang1, Denghui Xia1, Jin Liu1, Chao Zheng2, Yanzhen Qu1,3,4, Yadang Chen1, Chengjun Zhang1,2,3,*
Journal on Internet of Things, Vol.3, No.2, pp. 65-76, 2021, DOI:10.32604/jiot.2021.015401
Abstract Collaborative filtering algorithms (CF) and mass diffusion (MD)
algorithms have been successfully applied to recommender systems for years and
can solve the problem of information overload. However, both algorithms suffer
from data sparsity, and both tend to recommend popular products, which have poor
diversity and are not suitable for real life. In this paper, we propose a user internal
similarity-based recommendation algorithm (UISRC). UISRC first calculates the
item-item similarity matrix and calculates the average similarity between items
purchased by each user as the user’s internal similarity. The internal similarity of
users is combined to modify the recommendation score to make… More >
Open Access
ARTICLE
Benjamin Kwapong Osibo1, Chengbo Zhang1, Changsen Xia1, Guanzhe Zhao2, Zilong Jin1,3,*
Journal on Internet of Things, Vol.3, No.2, pp. 77-86, 2021, DOI:10.32604/jiot.2021.017943
Abstract Modern vehicles are equipped with sensors, communication, and
computation units that make them capable of providing monitoring services and
analysis of real-time traffic information to improve road safety. The main aim of
communication in vehicular networks is to achieve an autonomous driving
environment that is accident-free alongside increasing road use quality. However,
the demanding specifications such as high data rate, low latency, and high
reliability in vehicular networks make 5G an emerging solution for addressing
the current vehicular network challenges. In the 5G IoV environment, various
technologies and models are deployed, making the environment open to attacks
such as Sybil,… More >
Login
Register
Submit a Paper
Propose a Special lssue