IECE - Institute of Emerging and Computer Engineers

Research Article | 28 December 2023

Design and implementation of private college enrollment Management System based on B/S mode

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IECE Transactions on Internet of Things | Volume 1, Issue 1: 30-35, 2023 | DOI:10.00000/TIOT.2023.100005

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 >

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Research Article | 19 November 2023

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

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Hailong Zhou

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Xingdong Wang

IECE Transactions on Internet of Things | Volume 1, Issue 1: 22-29, 2023 | DOI:10.00000/TIOT.2023.100004

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 >

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Research Article | 17 October 2023

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

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Yiwei Hua

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Xingdong Wang

IECE Transactions on Internet of Things | Volume 1, Issue 1: 15-21, 2023 | DOI:10.00000/TIOT.2023.100003

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 >

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Research Article | Feature Paper | 12 June 2023

An Improved YOLOv3-Based Method for Immature Apple Detection

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IECE Transactions on Internet of Things | Volume 1, Issue 1: 9-14, 2023 | DOI:10.00000/TIOT.2023.100002

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 >

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Research Article | Feature Paper | 17 April 2023

Adaptive Binary Particle Swarm Optimization for WSN Node Optimal Deployment Algorithm

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Yujiang Li

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Jinghua Cao

IECE Transactions on Internet of Things | Volume 1, Issue 1: 1-8, 2023 | DOI:10.00000/TIOT.2023.100001

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 >

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