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CiteScore
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Latest Issue
Volume 2, Issue 2
IECE Transactions on Internet of Things
  ISSN:  2996-9298
Editor-in-Chief:  Jinchao Chen
Impact Factor (Google): 5.0
CiteScore: -
Indexing: Google Scholar, Dimensions, Lens, ResearchGate, OpenAlex, WorldCat
IECE Transactions on Internet of Things is a peer-reviewed international academic journal reflecting the achievements of cutting-edge research and application of internet of things, mainly publishing academic papers in the field of IoT.
E-mail:[email protected]  DOI Prefix: 10.62762/TIOT
14
Total Articles
32
Citations
1237
Downloads
19423
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Recent Articles

Free Access | Research Article | 23 October 2024
The Impact of Supply Chain Finance on Integrated Business Performance of New Energy Vehicle Enterprises
IECE Transactions on Internet of Things | Volume 2, Issue 4: 63-73, 2024 | DOI:10.62762/TIOT.2024.262824
Abstract
With the rapid development of the new energy vehicle (NEV) industry, supply chain finance (SCF) has become one of the key factors promoting the prosperity of this industry. Based on in total 884 samples, this study investigates the impact of SCF on the integrated business performance of NEV enterprises. Through empirical analysis, it is confirmed that SCF significantly and positively affects the integrated business performance. In addition, the results of the mediation effect test indicate that by alleviating financing constraints of small and medium-sized enterprises, SCF enables the improvement of firms' overall business performance. These findings provide new insights to NEV enterprises'... More >

Graphical Abstract
The Impact of Supply Chain Finance on Integrated Business Performance of New Energy Vehicle Enterprises

Free Access | Research Article | 22 September 2024
An Event-Triggered Energy-Efficient Wireless Routing Protocol for Fault Monitoring of Wind Turbines
IECE Transactions on Internet of Things | Volume 2, Issue 3: 55-62, 2024 | DOI:10.62762/TIOT.2024.257019
Abstract
Monitoring the health condition of wind turbines is crucial to ensure the safety and efficient operation of wind farms. Wireless sensor networks (WSNs) provide an economical and effective solution for such monitoring. However, when sensors detect faults in wind turbines, traditional WSN routing protocols often lead to redundant data transmission, resulting in energy waste. To address this issue, an event-triggered energy-efficient wireless routing protocol (EEWRP) is proposed specifically in this paper for wind turbine fault monitoring. The protocol improves the distributed energy-efficient clustering algorithm (DEEC) by first identifying the type of event and then using an adaptive dynamic... More >

Graphical Abstract
An Event-Triggered Energy-Efficient Wireless Routing Protocol for Fault Monitoring of Wind Turbines

Free Access | Research Article | 23 May 2024
Machine Learning-Based Prediction of Cardiovascular Diseases
IECE Transactions on Internet of Things | Volume 2, Issue 2: 50-54, 2024 | DOI:10.62762/TIOT.2024.128976
Abstract
With the rapid development of artificial intelligence, extracting latent information from medical data has become increasingly critical. Cardiovascular disease is now a major threat to human health, being one of the leading causes of mortality. Therefore, developing effective prediction methods for cardiovascular diseases is urgently needed. Current medical approaches primarily focus on disease detection rather than prediction, which limits early intervention. By leveraging computational methods, it is possible to predict cardiovascular disease in advance, enabling timely treatment and potentially reducing the disease’s impact. This study employs machine learning techniques, including Supp... More >

Graphical Abstract
Machine Learning-Based Prediction of Cardiovascular Diseases

Free Access | Research Article | 19 April 2024
Design of an Intelligent Rehabilitation Medical System for Elderly Care Apartments
IECE Transactions on Internet of Things | Volume 2, Issue 2: 44-49, 2024 | DOI:10.62762/TIOT.2024.256200
Abstract
This paper aims to design a rehabilitation medical product system tailored to the needs of future intelligent elderly care environments, with the goal of enhancing the efficiency of rehabilitation training for older adults. Through an in-depth analysis of the anticipated medical needs in elderly care apartments, we propose a comprehensive design concept for a rehabilitation medical product system. The design is approached from three key perspectives: products, services, and systems, ensuring that it aligns with the healthcare requirements specific to elderly care settings. The proposed solutions focus on optimizing rehabilitation training by integrating intelligent technologies and user-cent... More >

Graphical Abstract
Design of an Intelligent Rehabilitation Medical System for Elderly Care Apartments

Free Access | Research Article | 07 April 2024
Detection of Arctic Sea Ice Using 89 GHz Microwave Radiometer Channels
IECE Transactions on Internet of Things | Volume 2, Issue 2: 36-43, 2024 | DOI:10.62762/TIOT.2024.528361
Abstract
Sea ice is a crucial component of the cryosphere, and extensive research has been conducted on sea ice using microwave remote sensing due to its robustness against cloud cover and illumination variations. This paper focuses on classifying Arctic sea ice based on microwave remote sensing data. Leveraging the high stability of microwave radiometers, we analyze the characteristics of different sea ice types across the Arctic region in January 2017 using high-resolution AMSR-E/AMSR2 data at the 89 GHz frequency band. Data at this frequency are less susceptible to cloud and water vapor interference, while lower frequency bands have traditionally been more commonly used in similar studies. However... More >

Graphical Abstract
Detection of Arctic Sea Ice Using 89 GHz Microwave Radiometer Channels

Free Access | Research Article | 12 March 2024
Advancements in Multi-Year Ice Concentration Estimation from SSM/I 91.6GHz Observations
IECE Transactions on Internet of Things | Volume 2, Issue 1: 26-35, 2024 | DOI:10.62762/TIOT.2024.682080
Abstract
To enhance the LOMAX algorithm for sea ice concentration analysis in the polar regions, SSM/I 91.6GHz data was utilized, addressing the underuse of higher frequency data. The refinement process involved redefining PCT values for one-year and multi-year ice regions through both interpolation and least squares methods. Moreover, band operations were conducted to facilitate Arctic multi-year ice concentration retrieval. Comparative analyses with the NT algorithm indicated that the Arctic sea ice extents determined by both algorithms were similar, affirming the credibility of the modified LOMAX algorithm. When examining the results for March and September, the updated LOMAX algorithm demonstrate... More >

Graphical Abstract
Advancements in Multi-Year Ice Concentration Estimation from SSM/I 91.6GHz Observations

Free Access | Research Article | 12 February 2024
Application of Dimension Reduction Methods to High-Dimensional Single-Cell 3D Genomic Contact Data
IECE Transactions on Internet of Things | Volume 2, Issue 1: 20-25, 2024 | DOI:10.62762/TIOT.2024.186430
Abstract
The volume and complexity of data in various fields, particularly in biology, are increasing exponentially, posing a challenge to existing analytical methods, which often struggle with high-dimensional data such as single-cell Hi-C data. To address this issue, we employ unsupervised methods, specifically Principal Component Analysis (PCA) and t-Distributed Stochastic Neighbor Embedding (t-SNE), to reduce data dimensions for visualization. Furthermore, we assess the information retention of the decomposed components using a Linear Discriminant Analysis (LDA) classifier model. Our findings indicate that these dimensionality reduction techniques effectively capture and present information not r... More >

Graphical Abstract
Application of Dimension Reduction Methods to High-Dimensional Single-Cell 3D Genomic Contact Data

Free Access | Research Article | 14 January 2024
3D Convolutional Neural Network-Based Multi-Parameter Video Quality Assessment Model on Cloud Platforms
IECE Transactions on Internet of Things | Volume 2, Issue 1: 8-19, 2024 | DOI:10.62762/TIOT.2024.369369
Abstract
In light of the rapid advancements in big data and artificial intelligence technologies, the trend of uploading local files to cloud servers to mitigate local storage limitations is growing. However, the surge of duplicate files, especially images and videos, results in significant network bandwidth wastage and complicates server management. To tackle these issues, we have developed a multi-parameter video quality assessment model utilizing a 3D convolutional neural network within a video deduplication framework. Our method, inspired by the analytic hierarchy process, thoroughly evaluates the effects of packet loss rate, codec, frame rate, bit rate, and resolution on video quality. The model... More >

Graphical Abstract
3D Convolutional Neural Network-Based Multi-Parameter Video Quality Assessment Model on Cloud Platforms

Free Access | Research Article | 11 January 2024
Development and Evaluation of an IoT-Based Monitoring System for Patchouli Cultivation: An Integrated Approach to Enhance Agricultural Efficiency
IECE Transactions on Internet of Things | Volume 2, Issue 1: 1-7, 2024 | DOI:10.62762/TIOT.2024.499965
Abstract
This study investigates the application of Internet of Things (IoT) technology in agriculture, focusing on the cultivation of patchouli, a medicinal plant known for its therapeutic properties. The research highlights the specific growth requirements and medicinal benefits of patchouli, and proposes a monitoring system based on ZigBee technology. The system's hardware design incorporates cc2530 and esp8266 chips for wireless data transmission, while communication between the OneNET cloud server and the MySQL database is managed through MQTT, TCP/IP, and HTTP protocols. This integration showcases the potential of IoT to significantly enhance agricultural efficiency by providing real-time data... More >

Graphical Abstract
Development and Evaluation of an IoT-Based Monitoring System for Patchouli Cultivation: An Integrated Approach to Enhance Agricultural Efficiency

Research Article | 28 December 2023 | Cited: 1
Design and Implementation of Private College Enrollment Management System Based on B/S Mode
IECE Transactions on Internet of Things | Volume 1, Issue 1: 30-35, 2023 | DOI:10.62762/TIOT.2023.550445
Abstract
This system, combining with recruitment service characteristics of private college, adopts B/S pattern design for private colleges enrollment management system. The system includes PC terminal and mobile terminal access, realizing the display of SVG-based map, fully considering the convenience and friendly interactive interface of the system mobile terminal access, providing online consultation, registration, enrollment, payment, data statistical analysis and other functions, improving the efficiency and accuracy of enrollment data processing, so as to realize the information management of school enrollment. After the test, it meets the needs of enrollment management. More >

Graphical Abstract
Design and Implementation of Private College Enrollment Management System Based on B/S Mode

Research Article | 19 November 2023
Design and Implementation of 3D Library Application System-Taking The Library of Henan University of Technology as an Example
IECE Transactions on Internet of Things | Volume 1, Issue 1: 22-29, 2023 | DOI:10.62762/TIOT.2023.768915
Abstract
As more and more traditional application systems begin to integrate 3D technology, building a 3D library application system with the advantages of 3D technology is conducive to improving the user's borrowing experience, improving the efficiency of users' querying books and reserving seats, and combining monitoring equipment can effectively improve the accuracy of seat occupancy monitoring, and through the statistics and analysis of reservation data, borrowing data and other data, it can provide decision support for library managers, thereby improving the quality of library services. This paper takes the library of Henan University of Technology as an example, based on the SuperMap iClient3D... More >

Graphical Abstract
Design and Implementation of 3D Library Application System-Taking The Library of Henan University of Technology as an Example

Research Article | 17 October 2023 | Cited: 2
Forest Fire Assessment and Analysis in Liangshan, Sichuan Province Based on Remote Sensing
IECE Transactions on Internet of Things | Volume 1, Issue 1: 15-21, 2023 | DOI:10.62762/TIOT.2023.862892
Abstract
Because of the special geographical location, dry weather, high temperature and dense vegetation in Liangshan, Sichuan, it is easy to cause forest fires, so it is of great significance to use remote sensing data to evaluate forest fires in Liangshan, Sichuan. In this paper, the forest fire in Muli County, Liangshan, Sichuan Province on March 28th, 2020 was evaluated by using Landsat-8 remote sensing data which can be obtained free of charge. The NDVI of the pre-processed remote sensing images before and after the fire was calculated respectively. After the difference was made, the threshold of the classification of fire and non-fire areas was determined according to the maximum inter-class d... More >

Graphical Abstract
Forest Fire Assessment and Analysis in Liangshan, Sichuan Province Based on Remote Sensing

Research Article | Feature Paper | 12 June 2023 | Cited: 11
An Improved YOLOv3-Based Method for Immature Apple Detection
IECE Transactions on Internet of Things | Volume 1, Issue 1: 9-14, 2023 | DOI:10.62762/TIOT.2023.539452
Abstract
The identification of immature apples is a key technical link to realize automatic real-time monitoring of orchards, expert decision-making, and realization of orchard output prediction. In the orchard scene, the reflection caused by light and the color of immature apples are highly similar to the leaves, especially the obscuration and overlap of fruits by leaves and branches, which brings great challenges to the detection of immature apples. This paper proposes an improved YOLOv3 detection method for immature apples in the orchard scene. Use CSPDarknet53 as the backbone network of the model, introduce the CIOU target frame regression mechanism, and combine with the Mosaic algorithm to impro... More >

Graphical Abstract
An Improved YOLOv3-Based Method for Immature Apple Detection

Research Article | Feature Paper | 17 April 2023 | Cited: 11
Adaptive Binary Particle Swarm Optimization for WSN Node Optimal Deployment Algorithm
IECE Transactions on Internet of Things | Volume 1, Issue 1: 1-8, 2023 | DOI:10.62762/TIOT.2023.564457
Abstract
In order to optimize the deployment of wireless sensor network nodes, and avoid network energy consumption increase due to node redundancy and uneven coverage, the multi-objective mathematical optimization problem of area coverage is transformed into a function problem. Aiming at network coverage rate, node dormancy rate and network coverage uniformity, the idea of genetic algorithm mutation is introduced based on the discrete binary particle swarm optimization and the global optimal speed is mutated to avoid the algorithm falling into the local optimal solution. In order to further improve the optimization ability of the algorithm, the adaptive learning factor and inertia weight are introdu... More >

Graphical Abstract
Adaptive Binary Particle Swarm Optimization for WSN Node Optimal Deployment Algorithm
IECE Transactions on Internet of Things

IECE Transactions on Internet of Things

ISSN: 2996-9298 (Online)

Email: [email protected]

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