检索结果-内蒙古大学图书馆

The Location of Critical Reliability Slip Surface in Soil Slope Stability Analysis

Procedia Earth and Planetary Science 2012年 5卷 146-149页

作者： Li Liang Chu Xue-song School of Civil Engineering Qingdao Technological University Qingdao 266033China

This study aims to find the difference between the slip surface having minimum factor of safety(called critical slip surface in deterministic analysis of slopes) and the slip surface having minimum reliability index(called critical reliability slip surface). The performance function used in reliability analysis was formulated by unbalanced thrust force method and the value of reliability index regarding given potential slip surface was obtained by Rosenbleuth method. The harmony search algorithm was adopted to alter the potential slip surface in order to locate the critical reliability slip surface. One complicated soil slope was analyzed and the results have shown that the critical slip surface is considerably different from critical reliability slip surface for multi-layer slopes and the reliability index of critical slip surface is larger than that of critical reliability slip surface.

关键词： Slope stability analysis limit equilibrium method Reliability index Rosenbleuth method harmony search algorithm

来源：评论

学校读者我要写书评

暂无评论

Generalised multi-scale image reconstruction algorithm for electrical capacitance tomography

引用

The Journal of Photographic Science 2011年第3期59卷 134-153页

Successful applications of electrical capacitance tomography (ECT) depend mainly on the precision and speed of the image reconstruction algorithms. In this paper, based on the wavelet multi-scale analysis method, a generalised multi-scale model of considering the inaccuracy of the capacitance data and reconstruction model is proposed, in which the original inverse problem is decomposed into a sequence of inverse problems based on the scale variables and then solved successively from the largest scale to the smallest scale until the solution of the original inverse problem is found. A generalised multi-scale objective functional, which has been developed using the least trimmed squares (LTS) estimation and the M-estimation, is proposed. This objective functional unifies the regularised LTS estimation, the regularised M-estimations, the regularised least squares (LS) estimation, the regularised combinational estimation of the LTS estimation and the M-estimations, the regularised combinational estimation of the LS estimation and the M-estimations into a concise formulation. An efficient solver, which integrates the beneficial advantages of the homotopy algorithm, the harmony search (HS) algorithm that has been developed using the multi-harmony techniques based on the cooperation of solutions, and the particle collision (PC) algorithm, is designed for searching a possible global optimal solution. The proposed algorithm is tested by six typical reconstruction objects using a 12-electrode square sensor. Numerical results show the efficiency and superiority of the proposed algorithm in solving ECT image reconstruction problem. In the cases considered in this paper, good results that show great improvement in the spatial resolution and accuracy are observed. The spatial resolution of the reconstructed images by the proposed algorithm is enhanced and the artefacts in the reconstructed images can be eliminated effectively. Meanwhile, the reconstructed results derived from the

关键词： electrical capacitance tomography semiparametric model wavelet analysis homotopy method harmony search algorithm particle collision algorithm

来源：评论

学校读者我要写书评

暂无评论

Optimized controllers for enhancing dynamic performance of PV interface system

引用

Journal of Electrical Systems and Information Technology 2018年第1期5卷 1-10页

作者： Mahmoud A. Attia Department of Electric Power and Machines Faculty of Engineering Ain Shams University Egypt

The dynamic performance of PV interface system can be improved by optimizing the gains of the Proportional–Integral (PI) controller. In this work, gravitational search algorithm and harmony search algorithm are utilized to optimal tuning of PI controller gains. Performance comparison between the PV system with optimized PI gains utilizing different techniques are carried out. Finally, the dynamic behavior of the system is studied under hypothetical sudden variations in irradiance. The examination of the proposed techniques for optimal tuning of PI gains is conducted using MATLAB/SIMULINK software package. The main contribution of this work is investigating the dynamic performance of PV interfacing system with application of gravitational search algorithm and harmony search algorithm for optimal PI parameters tuning.

关键词： Photovoltaic power systems Gravitational search algorithm harmony search algorithm Genetic algorithm Artificial intelligence

来源：评论

学校读者我要写书评

暂无评论

Energy and Quality Aware Multi-Objective Resource Allocation algorithm in Cloud

引用

JOURNAL OF INFORMATION & KNOWLEDGE MANAGEMENT 2021年第4期20卷

作者： Desire, Kone Kigninman Dhib, Eya Tabbane, Nabil Asseu, Olivier Ecole Super Africaine TIC ESATIC LASTIC Abidjan Cote Ivoire Univ Carthage SUPCOM MEDIATRON Lab Tunis Tunisia Inst Polytech Felix Houphouet Boigny INPHB Yamoussoukro Cote Ivoire

Cloud gaming has become the new service provisioning prototype that hosts the video games in the cloud and broadcasts the interactive game streaming to the players through the Internet. Here, the cloud must use massive resources for video representation and its streaming when several simultaneous players reach a particular point. Alternatively, various players may have separate necessities on Quality-of Experience, like low delay, high-video quality, etc. The challenging task is providing better service by the fixed cloud resource. Hence, there is a necessity for an energy-aware multi-resource allocation in the cloud. This paper devises a Fractional Rider-harmony search algorithm (Fractional Rider-HSA) for resource allocation in the cloud. The Fractional Rider-HSA combines fractional calculus, Rider Optimization algorithm (ROA), and HSA. Moreover, the fitness function, like mean opinion score (MOS), gaming experience loss, fairness, energy consumption, and network parameters, is considered to determine the optimal resource allocation. The proposed model produces the maximal MOS of 0.8961, maximal gaming experience loss (QE) of 0.998, maximal fairness of 0.9991, the minimum energy consumption of 0.3109, and minimal delay 0.2266, respectively.

关键词： Cloud computing fractional calculus spark architecture harmony search algorithm rider optimization algorithm

来源：评论

学校读者我要写书评

暂无评论

A hybrid optimization-based deep belief neural network for the classification of vegetation area in multi-spectral satellite image

引用

INTERNATIONAL JOURNAL OF KNOWLEDGE-BASED AND INTELLIGENT ENGINEERING SYSTEMS 2020年第4期24卷 363-379页

作者： Gavade, Anil B. Rajpurohit, Vijay S. KLS Gogte Inst Technol Belagavi 590008 Karnataka India

Over the last few decades, multiple advances have been done for the classification of vegetation area through land cover, and land use. However, classification problem is one of the most complicated and contradicting problems that has received considerable attention. Therefore, to tackle this problem, this paper proposes a new Firefly-harmony search based Deep Belief Neural Network method (FHS-DBN) for the classification of land cover, and land use. The segmentation process is done using Bayesian Fuzzy Clustering,and the feature matrix is developed. The feature matrix is given to the proposed FHS-DBN method that distinguishes the land coverfrom the land use in the multispectral satellite images, for analyzing the vegetation area. The proposed FHS-DBN method is designedby training the DBN using the FHS algorithm, which is developed by the combination of Firefly algorithm (FA) and harmony search (HS) algorithm. The performance of the FHS-DBN model is evaluated using three metrics, such as Accuracy, True Positive Rate (TPR), and False Positive Rate (FPR). From the experimental analysis, it is concludedthat the proposed FHS-DBN model achieves ahigh classification accuracy of 0.9381, 0.9488, 0.9497, and 0.9477 usingIndian Pine, Salinas scene, Pavia Centre and university, and Pavia University scene dataset.

关键词： Classification multi-spectral satellite image firefly algorithm harmony search algorithm DBN vegetation index

来源：评论

学校读者我要写书评

暂无评论

Framework for Energy-Efficient Building Envelope Design Optimization Tool

引用

JOURNAL OF ARCHITECTURAL ENGINEERING 2018年第2期24卷

作者： Mostavi, Ehsan Asadi, Somayeh Boussaa, Djamel Penn State Univ Dept Architectural Engn 104 EngnUnit A University Pk PA 16802 USA Qatar Univ Dept Architecture & Urban Planning Doha 2713 Qatar

Multiple energy-simulation programs have recently been developed. Most of these programs utilize thermodynamic equations and the mechanical characteristics, loadings, and temperature set points of the building to predict the total energy demand in a year. In addition, numerous building design parameters, including building envelope, window-to-wall ratio, and building orientation and shape, influence the level of energy consumption, which makes the design process complicated. Challenges that manifest within these systems are inherently complex and interdisciplinary in nature, and they often defy linear, cause-and-effect correlation, which makes the simulation of building energy performance even more complicated. In addition to the difficulty of determining the best design parameters, multiple numbers of objectives, such as the life-cycle cost and environmental emission of the project, increase the complexity of the problem. Therefore, a proper multiobjective optimization algorithm tool that is capable of eliminating a portion of trial-and-error process is needed. This article presents a framework for developing a multiobjective design optimization tool that is capable of identifying the designs with the lowest life-cycle cost, lowest life-cycle emission, and highest occupant thermal satisfaction. To demonstrate the application of this framework, the development of the design optimization tool using a C# program is presented. The building envelope, as the major barrier between the outdoor environment and inside conditioned zone, was considered as the main building component to optimize. To calculate the occupants' thermal satisfaction, a predicted mean vote method (PMV) was used. Even though the theoretical basis behind this tool is robust and accurate, the developed tool is simple, flexible, and user-friendly to encourage its use among designers and engineers. It is expected that the developed tool will ease the integration of energy efficiency in commercial building

关键词： Building envelope Design optimization tool Building energy performance Occupant satisfaction harmony search algorithm

来源：评论

学校读者我要写书评

暂无评论

Energy Efficient Node Deployment Technique for Heterogeneous Wireless Sensor Network based Object Detection

引用

INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS 2022年第9期13卷 650-659页

作者： Dev, Jayashree Mishra, Jibitesh Odisha Univ Technol & Res Dept Informat Technol Bhubaneswar India Odisha Univ Technol & Res Dept Comp Sci & Applicat Bhubaneswar India

Lifetime of the network and the quality of operation are the two important issues in a wireless sensor network system meant for object detection and tracking application. At the same time, there should be a tradeoff between network cost and the quality of operation as high cost of the network limits its real-time usability. Heterogeneous wireless sensor networks promises the prolonged network lifetime as well as enhances network reliability as they contain a mixture of nodes with different characteristics. Further prolongation of network lifetime can be achieved by managing the available node energy in a proper way, i.e, by minimizing number of communication, minimizing node density, minimizing overhead information generated during operation etc. Proper node deployment scheme not only helps to enhance the lifetime of the network but also helps in reducing deployment cost while maintaining the quality of operation in terms of object detection accuracy. This paper focuses on the energy efficient node deployment in heterogeneous wireless sensor network system with the features of maximum network coverage, optimum node density and optimum network cost. This paper proposes a novel energy efficient node deployment algorithm that determines the number of static and mobile nodes required for deployment and then relocates the mobile nodes to cover up the coverage hole using 8-neighbourhood and Particle Swarm Optimization (PSO) algorithm. The performance of the proposed algorithm is compared with corresponding model of harmony search algorithm (HSA) and PSO based node deployment and it is seen that the proposed model outperforms better in comparison to them.

关键词： Heterogeneous wireless sensor network energy efficiency node deployment object detection network particle swarm optimization harmony search algorithm

来源：评论

学校读者我要写书评

暂无评论

A novel power system scheduling based on hydrogen-based micro energy hub

引用

ENERGY 2022年第0期251卷 1页

作者： Zhang, Honghui Chen, Yuanyuan Liu, Kuili Dehan, Sim Zhoukou Normal Univ Sch Phys & Telecommun Engn Zhoukou 466001 Peoples R China Arian Co EED Yerevan Armenia

Simultaneous operation of different energy generation and transmission infrastructures is a subject introduced as the concept of energy hub. This subject is highly regarded in microgrids. Integrating different energy sources under the concept of energy hub can improve the system performance as well as its reliability. The present paper is focused on the concept of hydrogen-based micro energy hub (SMEH) with regard to the integrated demand response (IDR) and hydrogen storage system (HSS). The SMEH studied in the present paper consists of different energy sources including the CHP, boiler, wind turbines, electrical energy storage system (ESS), gas storage system (GSS), thermal storage system (TSS), and hydrogen storage system (HSS). Demand response (DR) is introduced for controlling the consumers' heat demand and electrical pattern. Furthermore, the HSS not only can convert the power from renewable energy sources (RESs) into hydrogen (P2H) in the low power price periods, but also can, in turn, supply the hydrogen industry (H2P). The proposed model aims to minimize the energy cost of the whole hydrogen-based system considering the uncertainty of the power price. This optimization is performed by the harmony search (HS) optimization algorithm, which has been improved and developed by means of the local search algorithm. Eventually, the simulation and numerical results confirm the effectiveness of the proposed model.(c) 2022 Published by Elsevier Ltd.

关键词： Demand response Energy hub harmony search algorithm Hydrogen storage system

来源：评论

学校读者我要写书评

暂无评论

OPTIMIZATION-DRIVEN DEEP RECURRENT NEURAL NETWORK FOR INTRUSION DETECTION AND HEALTH RISK ASSESSMENT IN WIRELESS BODY SENSOR NETWORK

引用

BIOMEDICAL ENGINEERING-APPLICATIONS BASIS COMMUNICATIONS 2021年第1期33卷

作者： Alameen, Abdalla Gupta, Ashu Prince Sattam Bin Abdulaziz Univ Coll Arts & Sci Dept Comp Sci Wadi Al Dawasir Saudi Arabia

Wireless body sensor network (WBSN) has gained great attention in the environmental and military applications, but security is the major issue, nowadays. In addition, the data exchanged through the wireless sensor network (WSN) is vulnerable to several malicious attacks because of the physical defense equipment needs. Hence, various intrusion detection methods are required for defending against such attacks. Accordingly, an effective method, named deep recurrent neural network (Deep RNN), is proposed in this research for detecting the intrusion in WBSN. At first, the WBSN nodes are utilized to sense the data from the health records of patient for acquiring certain parameters to make risk assessment. Then, WBSN nodes transmit the data to the target nodes using the obtained parameters. After the determination of parameters, the WBSN nodes are responsible to collect the information of the patient and transfer the obtained information to cluster heads (CHs) based on the hybrid harmony search algorithm-particle swarm optimization (HSA-PSO). HSA-PSO is utilized for identifying the optimal CH node iteratively. From the selected CHs, secure communication is done to exchange the data packets. After that, the KDD features are extracted and intrusion detection is done using the proposed Deep RNN. After the genuine users are detected, the classification is done using fractional cat-based salp swarm algorithm (FCSSA) for the risk assessment. The performance of the intrusion detection and health risk assessment in WBSN based on the proposed model is evaluated based on accuracy, sensitivity, and the specificity. The developed model achieves the maximal accuracy of 95.79%, maximal sensitivity of 95.97%, and the maximal specificity of 95.61% using Cleveland dataset.

关键词： Wireless body sensor network Deep recurrent neural network harmony search algorithm Salp swarm algorithm Particle swarm optimization

来源：评论

学校读者我要写书评

暂无评论

An Improved Optimization algorithm Applied in Image Processing

An Improved Optimization Algorithm Applied in Image Processi...

引用

第37届中国控制会议

作者： Ping Zhang Hongyu Wang Yining Zhang Physics Department Anshan Normal University

To deal with the default of harmony search algorithm(HSA) of trapping into local optima for search for optimization results. An improved algorithm-harmony search has been presented in this paper. And inspired by big data analysis, I present a new concept-analysis and application of historical data. A mass of data, generated in the search process of the HSA, can be used to set up an instructive think tank to guide the optimizing search instead of the optimal solution and elitist solution app:addword:Elitist solution. After that, a probability distribution model is built according to historical data to forecast search trend. Specifically, the following tasks will be carried out and applied in image processing. The experience results have been proved that the new model would get better results than harmony search algorithm.

关键词： harmony search algorithm Image processing Instructive think tank Optimization system

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：