Journal on Internet of Things

ISSN: 2579-0099 (print)
ISSN: 2579-0080 (online) Publication Frequency: Quarterly

About the Journal

This Journal publishes papers related to all aspects of Internet of Things, from latest advance to review articles. Articles explore IoT system architecture, IoT enabling technologies, IoT communication and networking protocols such as network coding, and IoT services and applications. Investigations related to topical areas of research are especially encouraged, including IoT demands, impacts, and implications on sensors technologies, big data management, and future design for various IoT use cases, such as smart cities, smart environment, smart homes, etc.

Current Issue - Vol.3, No.1, 2021 Most Viewed

OPEN ACCESS
ARTICLE
Study on Optimization of Urban Rail Train Operation Control Curve Based on Improved Multi-Objective Genetic Algorithm
Xiaokan Wang^*, Qiong Wang
Journal on Internet of Things, Vol.3, No.1, pp. 1-9, 2021, DOI:10.32604/jiot.2021.010228
Abstract A multi-objective improved genetic algorithm is constructed to solve the train operation simulation model of urban rail train and find the optimal operation curve. In the train control system, the conversion point of operating mode is the basic of gene encoding and the chromosome composed of multiple genes represents a control scheme, and the initial population can be formed by the way. The fitness function can be designed by the design requirements of the train control stop error, time error and energy consumption. the effectiveness of new individual can be ensured by checking the validity of the original individual when… More
Views:233 Downloads:191 Download PDF

OPEN ACCESS
ARTICLE
An Overview of the Miniaturization and Endurance for Wearable Devices
Zhoulei Cao¹, Qijun Wen¹, Xiaoliang Wang^1,*, Qing Yang¹, Frank Jiang²
Journal on Internet of Things, Vol.3, No.1, pp. 11-17, 2021, DOI:10.32604/jiot.2021.010404
Abstract The miniaturization and endurance of wearable devices have been the research direction for a long time. With the development of nanotechnology and the emergence of microelectronics products, people have explored many new strategies that may be applied to wearable devices. In this overview, we will summarize the recent research of wearable devices in these two directions, and summarize some available related technologies. More
Views:226 Downloads:200 Download PDF

OPEN ACCESS
REVIEW
Review of Internet of Things in Different Sectors: Recent Advances, Technologies, and Challenges
Samreen Mahmood^*
Journal on Internet of Things, Vol.3, No.1, pp. 19-26, 2021, DOI:10.32604/jiot.2021.013071
Abstract Human beings and their activities are now connected through Internet of Things (IoT) with the evolution of wireless communication technologies. IoT is becoming popular and its usage is immensely increasing among various sectors. In this research paper, a comprehensive review has been conducted by considering recent and important literature review on IoT applications being operated in three major sectors. The three sectors studied are health, sports and transportation and logistics. Paper explored that with the help of IoT techniques, different miniature sized devices are invented which can record various parameters of human body, wearables devices have been invented which are… More
Views:297 Downloads:248 Download PDF

OPEN ACCESS
ARTICLE
A Novel Integrated Machine & Business Intelligence Framework for Sensor Data Analysis
S. Kalyani^*, A. Mary Sowjanya, K. Venkat Rao
Journal on Internet of Things, Vol.3, No.1, pp. 27-38, 2021, DOI:DOI:10.32604/jiot.2021.013163
Abstract Increased smart devices in various industries are creating numerous sensors in each of the equipment prompting the need for methods and models for sensor data. Current research proposes a systematic approach to analyze the data generated from sensors attached to industrial equipment. The methodology involves data cleaning, preprocessing, basics statistics, outlier, and anomaly detection. Present study presents the prediction of RUL by using various Machine Learning models like Regression, Polynomial Regression, Random Forest, Decision Tree, XG Boost. Hyper Parameter Optimization is performed to find the optimal parameters for each variable. In each of the model for RUL prediction RMSE, MAE… More
Views:189 Downloads:158 Download PDF

OPEN ACCESS
ARTICLE
A Perceptron Algorithm for Forest Fire Prediction Based on Wireless Sensor Networks
Haoran Zhu¹, Demin Gao^1,2,*, Shuo Zhang¹
Journal on Internet of Things, Vol.1, No.1, pp. 25-31, 2019, DOI:10.32604/jiot.2019.05897
Abstract Forest fire prediction constitutes a significant component of forest management. Timely and accurate forest fire prediction will greatly reduce property and natural losses. A quick method to estimate forest fire hazard levels through known climatic conditions could make an effective improvement in forest fire prediction. This paper presents a description and analysis of a forest fire prediction methods based on machine learning, which adopts WSN (Wireless Sensor Networks) technology and perceptron algorithms to provide a reliable and rapid detection of potential forest fire. Weather data are gathered by sensors, and then forwarded to the server, where a fire hazard index… More
Views:1744 Downloads:779 Download PDF

OPEN ACCESS
ARTICLE
Tibetan Multi-Dialect Speech Recognition Using Latent Regression Bayesian Network and End-To-End Mode
Yue Zhao¹, Jianjian Yue¹, Wei Song^1,*, Xiaona Xu¹, Xiali Li¹, Licheng Wu¹, Qiang Ji²
Journal on Internet of Things, Vol.1, No.1, pp. 17-23, 2019, DOI:10.32604/jiot.2019.05866
Abstract We proposed a method using latent regression Bayesian network (LRBN) to extract the shared speech feature for the input of end-to-end speech recognition model. The structure of LRBN is compact and its parameter learning is fast. Compared with Convolutional Neural Network, it has a simpler and understood structure and less parameters to learn. Experimental results show that the advantage of hybrid LRBN/Bidirectional Long Short-Term Memory-Connectionist Temporal Classification architecture for Tibetan multi-dialect speech recognition, and demonstrate the LRBN is helpful to differentiate among multiple language speech sets. More
Views:1682 Downloads:684 Download PDF

OPEN ACCESS
ARTICLE
Radiation Cross Calibration Based on GF-1 Side Swing Angle
Yong Xie¹, Zui Tao^2,*, Wen Shao³, John J. Qu⁴, Hai Huan³, Chuanyang Tian³
Journal on Internet of Things, Vol.1, No.1, pp. 9-16, 2019, DOI:10.32604/jiot.2019.05859
Abstract Radiation cross-calibration is an effective method to check and verify the accuracy and stability of sensor measurements. Satellites with high radiation accuracy are used to calibrate satellites with low radiation accuracy. In order to ensure the reliability of the radiation cross-calibration method, we propose to obtain the gain and offset of the GaoFen-1 satellite by linear regression after the radiation cross-calibration of the satellite with low precision and compare with the official coefficient. Finally, we get the relationship between the error in radiation cross-calibration results and side swing angle. The linear correction coefficients of each band are: 0.618, 0.625, 0.512… More
Views:1601 Downloads:864 Download PDF

OPEN ACCESS
ARTICLE
Electrical Data Matrix Decomposition in Smart Grid
Qian Dang¹, Huafeng Zhang¹, Bo Zhao², Yanwen He², Shiming He^3,*, Hye-Jin Kim⁴
Journal on Internet of Things, Vol.1, No.1, pp. 1-7, 2019, DOI:10.32604/jiot.2019.05804
Abstract As the development of smart grid and energy internet, this leads to a significant increase in the amount of data transmitted in real time. Due to the mismatch with communication networks that were not designed to carry high-speed and real time data, data losses and data quality degradation may happen constantly. For this problem, according to the strong spatial and temporal correlation of electricity data which is generated by human’s actions and feelings, we build a low-rank electricity data matrix where the row is time and the column is user. Inspired by matrix decomposition, we divide the low-rank electricity data… More
Views:1522 Downloads:690 Download PDF

OPEN ACCESS
ARTICLE
An Influence Maximization Algorithm Based on the Influence Propagation Range of Nodes
Yong Hua¹,Bolun Chen^1,2,∗,Yan Yuan¹, Guochang Zhu¹, Fenfen Li¹
Journal on Internet of Things, Vol.1, No.2, pp. 77-88, 2019, DOI:10.32604/jiot.2019.05941
Abstract The problem of influence maximization in the social network G is to find k seed nodes with the maximum influence. The seed set S has a wider range of influence in the social network G than other same-size node sets. The influence of a node is usually established by using the IC model (Independent Cascade model) with a considerable amount of Monte Carlo simulations used to approximate the influence of the node. In addition, an approximate effect (1-1/e) is obtained, when the number of Monte Carlo simulations is 10000 and the probability of propagation is very small. In this paper,… More
Views:1395 Downloads:871 Download PDF

OPEN ACCESS
ARTICLE
Research on CO Pollution Control of Motor Vehicle Exhaust
Weiwei Liu^{1, *}, Yang Tang², Fei Yang², Jin Wang³
Journal on Internet of Things, Vol.1, No.2, pp. 71-76, 2019, DOI:10.32604/jiot.2019.05946
Abstract Carbon monoxide (CO) is harmful to our health, and even causes death. The main source of CO is automobile exhaust. Therefore, this article determines that CO is the emission factor, and finally the evaluation model is established. The model provides an important basis for the highway construction project design, traffic management, environmental pollution control, energy saving, environmental evaluation and so on. Compared with the traditional method that calculates the road traffic volume through the air emissions model, according to the total amount of air pollution control, this paper builds the emission diffusion model, which calculates the road traffic volume by… More
Views:1229 Downloads:809 Download PDF