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Automatic Data Clustering Based Mean Best Artificial Bee Colony Algorithm

Computers, Materials & Continua 2021年第8期68卷 1575-1593页

作者： Ayat Alrosan Waleed Alomoush Mohammed Alswaitti Khalid Alissa Shahnorbanun Sahran Sharif Naser Makhadmeh Kamal Alieyan Deanship of Information and Communication Technology Imam Abdulrahman bin Faisal UniversityDammamSaudi Arabia Computer Department Imam Abdulrahman bin Faisal UniversityDammamSaudi Arabia School of Electrical and Computer Engineering Department of Information and Communication TechnologyXiamen University MalaysiaSepang43900Malaysia Department of Computer Science College of Computer Science and Information TechnologyImam Abdulrahman bin Faisal UniversityDammamSaudi Arabia Center for Artificial Intelligence Technology(CAIT) Faculty of Information Science and TechnologyUniversiti Kebangsaan Malaysia43600 BangiMalaysia School of Computer Sciences Universiti Sains Malaysia11800PenangMalaysia Faculty of Computer Sciences and Informatics Amman Arab UniversityAmmanJordan

Fuzzy C-means(FCM)is a clustering method that falls under unsupervised machine learning.The main issues plaguing this clustering algorithm are the number of the unknown clusters within a particular dataset and initialization sensitivity of cluster centres.Artificial Bee Colony(ABC)is a type of swarm algorithm that strives to improve the members’solution quality as an iterative process with the utilization of particular kinds of randomness.However,ABC has some weaknesses,such as balancing exploration and exploitation.To improve the exploration process within the ABC algorithm,the mean artificial bee colony(MeanABC)by its modified search equation that depends on solutions of mean previous and global best is used.Furthermore,to solve the main issues of FCM,Automatic clustering algorithm was proposed based on the mean artificial bee colony called(AC-MeanABC).It uses the MeanABC capability of balancing between exploration and exploitation and its capacity to explore the positive and negative directions in search space to find the best value of clusters number and centroids value.A few benchmark datasets and a set of natural images were used to evaluate the effectiveness of AC-MeanABC.The experimental findings are encouraging and indicate considerable improvements compared to other state-of-the-art approaches in the same domain.

关键词： Artificial bee colony automatic clustering natural images validity index number of clusters

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Numerical modeling and experimental validation of microstructure in gray cast iron

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International Journal of Minerals,Metallurgy and Materials 2012年第10期19卷 908-914页

作者： Masoud Jabbari Parviz Davami naser Varahram Department of Mechanical Engineering Technical University of DenmarkKgs.Lyngby 2800Denmark Department of Materials Science and Engineering Sharif University of TechnologyTehran 11365Iran

To predict the amount of different phases in gray cast iron by a finite difference model （FDM） on the basis of cooling rate （R）, the volume fractions of total y phase, graphite, and cementite were calculated. The results of phase composition were evaluated to find a proper correlation with cooling rate. More trials were carried out to find a good correlation between the hardness and phase composition. New proposed formulas show that the hardness of gray cast iron decreases as the amount of graphite phase increases, and increases as the amount of cementite inereases. The,qe fnrrnulas are develoned to correlate the nhase volume fraction to hardness. The results are compared with exverimental data and show reasonable agreement.

关键词： cast iron cooling microstructure mechanical properties finite difference method

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Towards a self-adaptive service-oriented methodology based on extended SOMA

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Frontiers of Information Technology & Electronic Engineering 2015年第1期16卷 43-69页

作者： Alireza PARVIZI-MOSAED Shahrouz MOAVEN Jafar HABIBI Ghazaleh BEIGI Mahdieh naser-SHARIAT Computer Engineering Department Sharif University of Technology Tehran 11155-11365 Iran

提出一种使用MAPE-K标准模型维护软件架构质量的自适应过程(SAP)。由于其显式地定义了输入与输出,该过程可插入多种软件开发进程和服务导向方法。为此,所述自适应过程在一种双层结构中与服务导向建模和应用(SOMA)方法相融合,构建出一种... 详细信息

提出一种使用MAPE-K标准模型维护软件架构质量的自适应过程(SAP)。由于其显式地定义了输入与输出,该过程可插入多种软件开发进程和服务导向方法。为此,所述自适应过程在一种双层结构中与服务导向建模和应用(SOMA)方法相融合,构建出一种新方法:自适应服务导向架构方法(SASOAM)。通过不同架构策略组合,SASOAM提供了一种半自动自知方法。此外,通过使用架构和适配模式,提升了服务导向建模和应用的维护活动,达到控制软件架构质量的效果。基于层次分析法(AHP)的评估展示了服务导向建模和应用维护性的改善。案例研究显示了自适应服务导向架构方法的可行性与实用性。

关键词：服务导向架构自适应过程架构模式质量属性适配模式架构策略

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Comparison of dry reforming of methane in low temperature hybrid plasma-catalytic corona with thermal catalytic reactor over Ni/γ-Al_2O_3

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Journal of Natural Gas Chemistry 2012年第4期21卷 466-475页

作者： Amin Aziznia Hamid Reza Bozorgzadeh naser Seyed-Matin Morteza Baghalha Ali Mohamadalizadeh Department of Chemical & Petroleum Engineering Sharif University of TechnologyAzadi St.Tehran11365-9465Iran Plasma Research Laboratory Research Institute of Petroleum Industry(RIPI)14665-1998TehranIran Gas Research Division Research Institute of Petroleum Industry(RIPI)14665-1998TehranIran

In the current study, the hybrid effect of a corona discharge and γ-alumina supported Ni catalysts in CO2 reforming of methane is investigated. The study includes both purely catalytic operation in the temperature range of 923-1023 K, and hybrid catalytic-plasma operation of DC corona discharge reactor at room temperature and ambient pressure. The effect of feed flow rate, discharge power and Ni/γ-Al2O3 catalysts are studied. When CH4/CO2 ratio in the feed is 1/2, the syngas of low Ha/CO ratio at about 0.56 is obtained, which is a potential feedstock for synthesis of liquid hydrocarbons. Although Ni catalyst is only active above 573 K, presence of Ni catalysts in the cold corona plasma reactor （T≤523 K） shows promising increase in the conversions of methane and carbon dioxide. When Ni catalysts are used in the plasma reaction, H2/CO ratios in the products are slightly modified, selectivity to CO increases whereas fewer by-products such as hydrocarbons and oxygenates are formed.

关键词： dry reforming of methane synthesis gas hybrid catalyst plasma Ni/γ-Al2O3 discharge power

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A Flexible Multichannel Digital Random Pulse Generator Based on FPGA

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World Journal of Nuclear Science and Technology 2013年第4期3卷 109-116页

作者： Mohammad Arkani Hossein Khalafi naser Vosoughi Department of Energy Engineering Sharif University of Technology Tehran Iran Physics Department Amir-Kabir University of Technology Tehran Iran Radiation Application Research School Nuclear Science & Technology Research Institute (NSRTI) Atomic Energy Organization of Iran (AEOI) Tehran Iran Radiation Application Research School Nuclear Science & Technology Research Institute (NSRTI) Atomic Energy Organization of Iran (AEOI) Tehran Iran

The present paper describes a multichannel digital random pulse generator implemented in a 65-nm FPGA device. The random time interval generation is based on inverse transformation method. The output pulse generation rate, pulse width and the probability distribution function (PDF) of each channel might be individually selected by the computer through a USB cable connection. Statistical properties of the output channels can be adjusted and recorded in a fully dynamic flexible manner. The Poisson and uniform PDFs were tested and implemented for up to eight different channels in experiment, however, the implementation of any arbitrary PDF is possible by programming capability of the device as well. Detailed experimental results are expressed in the manuscript. The proposed equipment makes it possible to verify the complicated multichannel detection systems without having the radioactive experimental tests. This is a low cost instrumentation due to the FPGA-based construction.

关键词： Field Programmable Gate Array (FPGA) Random Pulse Generator Probability Distribution Function

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