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Prediction of Sliding Slope Displacement Based on intelligent algorithm

WIRELESS PERSONAL COMMUNICATIONS 2018年第4期102卷 3141-3157页

作者： Zuan, Pei Huang, Yong Chengdu Univ Technol State Key Lab Geohazard Prevent & Geoenvironm Pro Chengdu 610059 Sichuan Peoples R China Xin Jiang Commun Construct Co Urumqi 830001 Peoples R China

In order to predict the landslide disaster effectively, the prediction system of landslide disaster based on intelligent algorithm is constructed. Lianziya and Gushuwu are used as the research object. The applicability of RBF and BP algorithm in landslide deformation displacement prediction is analyzed and compared. Based on the cumulative displacement curve of the landslide deformation, the deformation of the landslide is divided into three main stages: initial deformation, uniform deformation and acceleration deformation. When the classical intelligent algorithm BP is used to predict the landslide deformation, the selection of network structure parameters has a great influence on the prediction results. By optimizing the parameters, the optimal network structure can be constructed, and better prediction accuracy can be obtained. The results show that the improved algorithms overcome the defects of the standard BP algorithm to some extent. The accuracy of prediction is improved. LMBP has the best prediction effect. The RBF has more advantages than the LM-BP algorithm for predicting landslide deformation, which is in good agreement with the landslide curve.

关键词： intelligent algorithm Slippery slope Displacement prediction RBF BP

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intelligent algorithm Based on OFDM Channel Estimation

Intelligent Algorithm Based on OFDM Channel Estimation

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4th International Workshop on Materials Engineering and Computer Sciences (IWMECS)

作者： Yuan Chuanlin Xiao Jun Dalian Neusoft Univ Informat Dalian Liaoning Peoples R China

ISBN: (纸本)9781912407408

In the communication system, the error rate of signal transmission in the channel is high. The use of OFDM (Orthogonal Frequency Division Multiplexing) technology can reduce the bit error rate and improve the quality of signal transmission. Channel estimation algorithm, as a key technology in OFDM system, is particularly important. In this paper, three common channel estimation algorithms are analyzed, and the pilot channel estimation methods are emphatically studied. Their advantages and disadvantages are analyzed, and the future development prospects of this technology are prospected.

关键词： OFDM channel estimation intelligent algorithm

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Design of intelligent algorithm for object search based on IoT digital images

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SYSTEMS AND SOFT COMPUTING 2024年 6卷

作者： Li, Yinghao Henan Univ Puyang Inst Technol Puyang 457000 Peoples R China

With the development of artificial intelligence, traditional object search and image recognition have been replaced by the Internet of Things and artificial intelligence. However, traditional object search algorithms often lack accuracy and low precision. Therefore, this study proposes a new intelligent encryption algorithm to address the issues of insufficient accuracy in object search algorithms and image recognition algorithms. The new algorithm ensures the security of user data and the response efficiency of the model during the conversation process by integrating fully homomorphic encryption technology and dynamic sparse attention mechanism. The dynamic sparse attention mechanism introduced simultaneously improves the model's ability to handle long sequence data by dynamically adjusting attention weights. Experimental results showed that the precision of the proposed algorithm was 0.05 % higher than that of random algorithms and 0.19 % higher than that of sorting algorithms. The recall rate of the proposed algorithm was 0.14 % higher than that of random algorithms and 0.16 % higher than that of sorting algorithms. The research algorithm can identify objects with certain characteristics and is suitable for specific environments, greatly reducing the probability of data leakage in object search and providing new ideas for research in this field.

关键词： Internet of things Object search intelligent algorithm Accuracy Homomorphic Encryption

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Landscape design of coastal area based on virtual reality technology and intelligent algorithm

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JOURNAL OF intelligent & FUZZY SYSTEMS 2019年第5期37卷 5955-5963页

作者： Wang, Han Northeast Agr Univ Harbin 150030 Heilongjiang Peoples R China

With the improvement of people's living standards, people's pursuit of material and high quality of living environment must combine the concept of human and nature to integrate urban landscape design with the surrounding ecological environment. The most interesting thing is the landscape design of most coastal cities. Based on this, a virtual environment is proposed based on virtual reality technology and intelligent algorithm, using 3-bit binary to represent the digital factor and creating the virtual environment by simulating the display environment. After constructing the basic model of coastal landscape, the landscape design of coastal areas using virtual reality technology is analyzed, and the parametric design method of new images in landscape design analyzed, the landscape design of virtual reality technology in coastal areas analyzed. The research results show that the display degree of DEM is 50% and the image display detail degree is 90% by using virtual reality technology. Combined with 3DMAX, it can be transferred to the 3DMAX operation surface to perform real editing and simulation of the coastal garden environment. Thus, the algorithm proposed in this paper is effective. The research in this paper shows that it is feasible to apply virtual reality technology and intelligent algorithm to landscape design in coastal areas, and has achieved certain effects.

关键词： Virtual reality technology intelligent algorithm coastal area landscape design

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Research on a hybrid LSSVM intelligent algorithm in short term load forecasting

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CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS 2019年第4-Sup期22卷 S8271-S8278页

作者： Xiong, Junhua Wang, Tingling Li, Ruisheng North China Univ Water Resources & Elect Power Sch Elect Power Zhengzhou 450045 Henan Peoples R China State Grid Xuji Grp Corp Res Ctr Xuchang 461001 Peoples R China

For enhancing the prediction accuracy of power load forecasting, a support vector machine (SVM) prediction model based on wavelet transform and the mutant fruit fly parameter optimization intelligent algorithm (WT-MFOA-LSSVM) was presented. The load data were pretreated by wavelet transform, and the load curves were decomposed into different scales, in order to strengthen the regularity and randomness of historical data. Aiming at overcoming the problems of low convergence precision and easily relapsing into local extreme in basic fruit fly optimization algorithm (FOA), judge whether the intelligent algorithm was trapped in local extreme from the fitness variance of the population and the current optimal. Then, it was conducted by optimal individual perturbation and Gauss mutation operation and the mutant fruit flies were second times optimized, which made the accuracy of prediction model be obviously enhanced. The next few days of historical load data of a certain area of Henan Province, China, in 2015 were predicted by using WT-MFOA-LSSVM, and then the prediction results were compared with the results predicted by the SVM model and by the SVM model based on particle swarm optimization model. The results showed that WT-MFOA-LSSVM had high precision in short term load forecasting, and it had a very good practical significance.

关键词： Support vector machine Particle swarm optimization algorithm Mutant fruit fly algorithm Wavelet transform intelligent algorithm Short term load forecasting

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Characterising mobility and pressure exposure in community dwelling residents with pressure ulcers using monitoring technology and intelligent algorithm

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JOURNAL OF TISSUE VIABILITY 2024年第4期33卷 693-700页

作者： Caggiari, Silvia Aylward-Wotton, Nicci Kent, Bridie Worsley, Peter R. Univ Southampton Sch Hlth Sci Skin Sensing Res Grp Southampton SO17 1BJ England Cornwall Partnership NHS Fdn Trust Carew HouseBeacon Technol PkDunmere Rd Bodmin PL31 2QN England Univ Plymouth Sch Nursing & Midwifery Plymouth PL4 8AA England

Aim: Individuals in the community with reduced mobility are at risk of exposure to prolonged lying and sitting postures, which may cause pressure ulcers. The present study combines continuous pressure monitoring technology and intelligent algorithms to evaluate posture, mobility, and pressure profiles in a cohort of community dwelling patients, who had acquired pressure ulcers. Materials and methods: This study represents a secondary analysis of the data from the Quality Improvement project 'Pressure Reduction through COntinuous Monitoring In the community SEtting (PROMISE)'. 22 patients with pressure ulcers were purposely selected from 105 recruited community residents. Data were collected using a commercial continuous pressure monitoring system over a period of 1-4 days, and analysed with an intelligent algorithm using machine learning to determine posture and mobility events. Duration and magnitude of pressure signatures of each static posture and exposure thresholds were identified based on a sigmoid relationship between pressure and time. Results: Patients revealed a wide range of ages (30-95 years), BMI (17.5-47 kg/m(2)) and a series of co-morbidities, which may have influenced the susceptibility to skin damage. Posture, mobility, and pressure data revealed a high degree of inter-subject variability. Largest duration of static postures ranged between 1.7 and 19.8 h, with 17/22 patients spending at least 60 % of their monitoring period in static postures which lasted >2 h. Data revealed that many patients spent prolonged periods with potentially harmful interface pressure conditions, including pressure gradients >60 mmHg/cm. Conclusion: This study combined posture, mobility, and pressure data from a commercial pressure monitoring technology through an intelligent algorithm. The community residents who had acquired a pressure ulcer at the time of monitoring exhibited trends which exposed their skin and subdermal tissues to prolonged high pressures during static

关键词： Pressure ulcers Community dwelling individuals Posture Mobility Continuous pressure monitoring Exposure threshold intelligent algorithm

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An intelligent algorithm for Negative Sequence Directional Element of DFIG during Ferroresonance in Smart Grid

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TECHNOLOGY AND ECONOMICS OF SMART GRIDS AND SUSTAINABLE ENERGY 2021年第1期6卷 1-17页

作者： Rezaei, Salman Kerman Power Generat Management Co Tech Off Kerman Iran

Smart grid comprises utility system and Distributed renewable power Generations such as wind and solar energy. The smart grid system represents bidirectional flowing of energy and communication facilities among utility system, Distributed Generations (DG) and consumers. Smart grid including wind farm is seriously exposed to high magnitudes of nonlinearities like ferroresonance. It causes mal operation of protective relays in wind farm. This paper investigates impact of ferroresonance in utility system on operation of DFIG (Doubly-Fed Induction Generator) and Negative Sequence Directional Element (NSDE) in Wind Park by means of PSCAD/EMTDC software. As smart grid insists on a self-healing protection, an intelligent algorithm based on wavelet transform, neural network and ferroresonance analysis in time domain is proposed for NSDE to discriminate ferroresonance. The algorithm appropriately conforms to smart grid protection strategy. It discriminates ferroresonance from other nonlinear abnormalities and is able to distinguish different types of ferroresonance. To accord with smart grid requirements, the algorithm is designed to forecast occurrence of ferroresonance in the grid.

关键词： intelligent algorithm Negative sequence directional element Ferroresonance Smart grid Distributed generations

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Construction of a predictive model of college students' satisfaction with campus life based on intelligent algorithm 11

Construction of a predictive model of college students' sati...

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11th International Conference on Information Technology - IoT and Smart City (ITIoTSC)

作者： Huang, Ruixian Guangzhou City Construct Coll Guangzhou Peoples R China Univ Tun Abdul Razak Kuala Lumpur Malaysia

ISBN: (纸本)9798350328356;9798350328349

With the popularization and development of higher education, the study of college students' satisfaction with campus life has gradually attracted wide attention. The purpose of this study is to construct a predictive model combined with intelligent algorithms to accurately predict the satisfaction level of college students in campus life. In order to achieve this goal, we use a variety of data acquisition and analysis methods, combined with the advantages of intelligent algorithms, to conduct a comprehensive analysis and prediction of multiple dimensions of college campus life. In terms of data collection, we designed a questionnaire survey including personal information, academic performance, social participation, extracurricular activities and other factors, and extensively collected a large number of effective samples from many universities. Through the collection and collation of these data, we have established a rich data set, which provides sufficient support for the construction and training of the *** sum up, by constructing a predictive model of campus life satisfaction based on intelligent algorithms, this study provides a powerful tool for college administrators to better understand and meet the needs of college students, so as to enhance the comprehensive competitiveness and reputation of colleges and universities. This study provides a valuable reference and method for the further study of college students' satisfaction with campus life.

关键词： intelligent algorithm College life Satisfaction prediction model

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The Research of Energy Analysis Based on intelligent algorithm in Ferroalloy Enterprise

The Research of Energy Analysis Based on Intelligent Algorit...

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2012 International Conference on Mechanical Engineering and Materials(ICMEM 2012)

作者： Qiu Dong Fu Ying-ying Wang Xiao-bo Department of Electrical and Electronic Engineering Changchun University of Technology

ISBN: (纸本)9783037853528

An intelligent algorithm of energy analysis was put forward based on statistical data of Sinosteel Jilin ferroalloy Co.,*** BP algorithm of variable learning rate which used widely was adopt so as to complete energy consumption scientific analysis and overcome efficacious the weakness that standard BP calculation model convergence slowly and easy to make network into a local *** energy analysis model of ferroalloy enterprise was present and the Pareto order was proposed though quantitative analysis of main factors that influence energy *** was helpful to make energy policy and to promote energy saving as theoretical basis.

关键词： intelligent algorithm variable learning rate momentum quantitative analysis

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Improving Web Query Processing with Integrating intelligent algorithm and XML for Heterogeneous Database Access

Improving Web Query Processing with Integrating Intelligent ...

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International Conference on Digital Information and Communication Technology and Its Applications

作者： Yusof, Mohd Kamir Abidin, Ahmad Faisal Amri Deris, Sufian Mat Usop, Surayati Univ Sultan Zainal Abidin K Terengganu 21300 Terengganu Malaysia

ISBN: (纸本)9783642220265

A good methodology for web query processing is needed to improve web query processing. In order to improve web processing in web based application, new and robust methods should be identified. In this research, web query processing for heterogeneous database access issue will determine and provide a proposed method to overcome this issue. The issue is time performance for searching and retrieving process in heterogeneous database access. In order to overcome this problem, intelligent algorithm was designed. This intelligent algorithm was integrated with XML language. XML is powerful tool for data exchange. Experiments have been done by comparing XML and integration between XML and proposed intelligent algorithm. The result indicates the integration between XML and proposed intelligent algorithm is better compared to XML in term of time performance.

关键词： XML intelligent algorithm Heterogeneous Database

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