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8th International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC)

作者： Liu, Yuan Chen, Junjie Xu, Zhenfeng Zhang, Jingxia Yang, Yan Southeast Univ Nanjing Jiangsu Peoples R China Sch Guangdong Petr & Chem Engn Maoming Guangdong Peoples R China

ISBN: (纸本)9781509007684

Localization technology is the basis of practical applications of wireless sensor networks (WSNs). An improved localization algorithm for wireless sensor networks was proposed to reduce hop distance error and solve the premature convergence problem for the hybrid localization algorithm of DV-Hop and Bat (BADV-Hop). Based on the vector routing localization mechanism, an optimization method was designed to enhance the average hop distance accuracy. The linear weight strategy was used to correct searching velocity of bats. In addition, tendentious random disturbance was established to optimize location information. Experimental results showed that the localization accuracy of improved algorithm is 13% greater than that of DV-Hop algorithm and 3% greater than that of BADV-Hop algorithm. Moreover, the improved algorithm effectively reduced the maximum iterations and avoided premature convergence without any additional energy consumption compared to BADV-Hop algorithm.

关键词： wireless sensor networks improved algorithm DV-Hop algorithm bat algorithm localization

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Orthogonal Matching Pursuit algorithm Via improved Matching Criterion 2018

Orthogonal Matching Pursuit Algorithm Via Improved Matching ...

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2nd International Conference on Digital Signal Processing (ICDSP) / International Conference on Computer Graphics and Virtuality (ICCGV)

作者： Jianhong-Xiang Huihui-Yue Xiangjun-Yin Harbin Engn Univ Coll Informat & Commun Engn 145 Nantong St Harbin Heilongjiang Peoples R China

ISBN: (纸本)9781450364027

Better support set Selected is the key step in Compressed Sensing to improve the reconstruction effect. The inner product matching criterion adopted in orthogonal matching pursuit algorithm fails to fully consider the correlation between the residuals and the atoms, which leads to greater error in the reconstruction process. As for this, an improved criterion is proposed and applied to the reconstruction algorithm to optimize the support set and improve the reconstruction performance. Through experimental simulation, the performance of algorithm proposed is verified to be an overall improvement in the reconstruction success rate and error under the same conditions compared to the orthogonal matching pursuit algorithm.

关键词： Compression sensing Matching criterion Signal reconstruction improved algorithm Simulation analysis

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Fuzzy Evaluation on Food Safety Based on improved Membership Degree Transformation algorithm

Fuzzy Evaluation on Food Safety Based on Improved Membership...

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International Conference on Advanced Measurement and Test (AMT 2010)

作者： Shi, Chenghua Wang, Yapeng Huazhong Agr Univ Coll Econ & Management Wuhan 430070 Peoples R China

ISBN: (纸本)0878492712

It needs a scientific and complete index system for a comprehensive evaluation on the safety of foods in some region or some country. And the use of advanced evaluation technologies is also an important work of food safety evaluation. The paper eliminated the redundant data in index membership for object classification by defining distinguishable weight and extracted valid values to compute object membership. The improved algorithm of membership degree transformation includes three calculation steps which can be summarized as "effective, comparison and composition", which is denoted as M (1,2,3). The paper applied the new algorithm in fuzzy evaluation on the safety of foods. Evaluation results show the validity of the improved model and the model can achieve the dynamic evaluation of the safety of foods in some region or some country.

关键词： food safety fuzzy evaluation analytic hierarchy process membership degree transformation improved algorithm

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An improved digital signature algorithm and authentication protocols in cloud platform

An improved digital signature algorithm and authentication p...

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IEEE International Conference on Smart Cloud (IEEE SmartCloud)

作者： Wang, Longge Song, Tao Henan Univ Software Sch Kaifeng Peoples R China Zhengzhou Univ Informat Engn Sch Zhengzhou Peoples R China

ISBN: (纸本)9781509052639

Due to the widespread use of cloud platforms the issues of safety and security have become a focus of attention within academia and industry. This article describes an elliptic curve cryptography digital signature system based on the proposed model described. The greatly improved algorithm presents a modular inversion digital signature method achieves greater efficiency, but more importantly, ensures data transmission security through prevention of signature forgery. These digital signature authentication protocols and algorithms ensure increased security of data on cloud platforms, while also improving the practicality of use.

关键词： cloud platform elliptic curve cryptography modular inversion improved algorithm authentication

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An improved Back-propagation algorithm for Fuzzy Modeling

An Improved Back-propagation Algorithm for Fuzzy Modeling

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3rd International Conference on Measuring Technology and Mechatronics Automation (ICMTMA 2011)

作者： Miao, Zhinong Zheng, Huijun Panzhihua Univ Sch Informat & Elect Engn Panzhihua 617000 Sichuan Peoples R China

ISBN: (纸本)9783037850190

Fuzzy modeling is discussed in many literatures and there are numerous algorithms are proposed. Back-propagation algorithm is an efficient algorithm for fuzzy modeling and many papers proposed the usage of such method. But there exists potential risk of dead zone, abrupt inference surface and decreasing sensitivity for normal back-propagation algorithm in fuzzy modeling. This paper analysis the potential problems of normal algorithm and suggest a reformative back-propagation algorithm for fuzzy modeling. A complete algorithm is presented in the paper and some simulate result is discussed

关键词： fuzzy modeling back-propagation algorithm improved algorithm

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Multi-object Tracking Based on improved Mean-shift algorithm

Multi-object Tracking Based on Improved Mean-shift Algorithm

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2nd International Congress on Image and Signal Processing

作者： Li, Bo Zeng, Zhi-yuan Wu, Zhong-ru Huazhong Univ Sci & Technol Digital Engn & Emulat Res Ctr Wuhan 430074 Peoples R China

ISBN: (纸本)9781424441303

A multi-object tracking algorithm is proposed for road & bridge traffic scene. Firstly, background reconstruction was conducted based on a statistical model, and the background was updated using Kalman filter at regular intervals. Secondly, the background differencing was conducted to obtain potential objects. An improved mean-shift tracking algorithm was put forwarded for image sequences without obvious color information, and the histogram difference was computed between the histograms of background and moving object. Then, the back projection image was obtained according to the histogram difference. The feature extraction is effective to distinguish the background and foreground. Afterward, a multi-object tracking link list and tracking state list were proposed for tracking. The proposed algorithm has been compared with basic mean-shift algorithm. Result shows it provides better accuracy and achieved good real-time performance.

关键词： multi-object tracking mean-shift improved algorithm motion detection

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Multi-Classification for Malicious URL Based on improved Semi-supervised algorithm 20

Multi-Classification for Malicious URL Based on Improved Sem...

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20th IEEE International Conference on Computational Science and Engineering (CSE) / 15th IEEE/IFIP International Conference on Embedded and Ubiquitous Computing (EUC)

作者： Yang, Jun Yang, Pengpeng Jin, Xiaohui Ma, Qian Beijing Univ Posts & Telecommun Sch Comp Sci Beijing Peoples R China Natl Engn Lab Mobile Network Secur Beijing Peoples R China

ISBN: (纸本)9781538632215

Web attacks are increasing and the scale of malicious URL continues to expand with the rapid development of the Internet, so that the network security situation is increasingly grim. In this case, this paper studies the URL multi-classification problem, which is a continuation of the reference [1] and follows the data sets and most of feature selection methods in it. Firstly, different types of URL structure is analyzed and features which have obvious directivity to the attack type are increased based on the original features. Secondly, an improved semi-supervised algorithm is proposed to train the URL multi-classification model. Finally, the effect of the multi-classification model is verified by using the data set with different labeling rate, which shows the improved algorithm has good classification performance compared to the previous algorithm.

关键词： malicious URL multi-classification improved algorithm

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improved Interval indexed Formulation Based Heuristic algorithm for Scheduling Problem 27

Improved Interval indexed Formulation Based Heuristic Algori...

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27th Chinese Control and Decision Conference (CCDC)

作者： Wang, Yong Ming Yin, Hong Li Kunming Univ Sci & Technol Sch Management & Econ Kunming 650093 Peoples R China Yunnan Normal Univ Sch Comp Sci & Informat Technol Kunming 650092 Peoples R China

ISBN: (纸本)9781479970162

Scheduling problems in manufacturing systems and industrial engineering are very complex. If the scale of a problem exceeds a certain threshold, the problemis difficult to solve by traditional or formal optimization approaches. In this paper, scheduling problem is modeled with interval indexed formulation. In the model, intervals formation are very important to the efficiency of the algorithm. We proposed two methods for improving the intervals. First method is increasing time limit approach and the second one is long-short time limit *** test our algorithm on a kind of NP-hard problem-single machine total weighted tardiness problem. The results give a validation that the approach we presented have promising to he used to some traditiona 1 hard problems, especially, to single machine schuduling problem.

关键词： improved algorithm Interval indexed formulation Scheduling problem Heuristic algorithm

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Extracting Individual Tree Positions in Closed-Canopy Stands Using a Multi-Source Local Maxima Method

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FORESTS 2025年第2期16卷 262-262页

作者： Lai, Guozhen Cao, Meng Zhou, Chengchuan Liu, Liting Zhong, Xun Guo, Zhiwen Ouyang, Xunzhi Jiangxi Agr Univ Coll Forestry Nanchang 330045 Peoples R China Jiangxi Acad Forestry Nanchang 330032 Peoples R China Jiangxi Forestry Resources Monitoring Ctr Nanchang 330045 Peoples R China

The accurate extraction of individual tree positions is key to forest structure quantification, and Unmanned Aerial Vehicle (UAV) visible light data have become the primary data source for extracting individual tree locations. Compared to deep learning methods, classical detection methods require lower computational resources and have stronger interpretability and applicability. However, in closed-canopy forests, challenges such as crown overlap and uneven light distribution hinder extraction accuracy. To address this, the study improves the existing Revised Local Maxima (RLM) method and proposes a Multi-Source Local Maxima (MSLM) method, based on UAV visible light data, which integrates Canopy Height Models (CHMs) and Digital Orthophoto Mosaics (DOMs). Both the MSLM and RLM methods were used to extract individual tree positions from three different types of closed-canopy stands, and the extraction results of the two methods were compared. The results show that the MSLM method outperforms the RLM in terms of Accuracy Rate (85.59%), Overall Accuracy (99.09%), and F1 score (85.21%), with stable performance across different forest stand types. This demonstrates that the MSLM method can effectively overcome the challenges posed by closed-canopy stands, significantly improving extraction precision. These findings provide a cost-effective and efficient approach for forest resource monitoring and offer valuable insights for forest structure optimization and management.

关键词： individual tree position local maxima method improved algorithm multi source closed-canopy stands

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Multi-objective Optimal Tourism Route Planning and Design Based on improved Particle Swarm Optimization algorithm

Multi-objective Optimal Tourism Route Planning and Design Ba...

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作者： Yan, Jingjing Henan Vocational College of Agriculture Henan Zhengzhou China

In the tourism industry, in order to attract more tourists, there must be a key link, which is route planning. However, the complex optimization problem in tourism route planning has always been a headache. Traditional single route planning often lacks flexibility and personalization and is not conducive to deep tourism. Therefore, this paper proposed a multi-objective optimal tourism route planning and design method based on the improved particle swarm optimization (PSO), which aimed to meet the needs of people for better tourism experience and hoped to further promote the development of tourism. The experimental results showed that this method can not only obtain the optimal solution in tourism routes, but also has advantages in algorithm efficiency and convergence speed. Compared with the previous improvement, the time for solving the optimal route has been reduced by 54%, and the algorithm's efficiency in solving the optimal route has also reached 93%. This showed that the improved PSO can be used as an effective multi-objective optimal tourism route planning method. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： improved algorithm Multi-objective optimal design Particle swarm optimization algorithm Tourism route planning

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