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Energy loss optimization of run-off-road wheels applying imperialist competitive algorithm

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Information Processing in Agriculture 2014年第1期1卷 57-65页

作者： hamid Taghavifar Aref mardani Department of mechanical Engineering of Agricultural machinery Faculty of AgricultureUrmia UniversityUrmiaIran

The novel imperialist competitive algorithm(ICA)has presented outstanding fitness on various optimization *** of meta-heuristics has been a dynamic studying interest of the reliability optimization to determine idleness and reliability *** application of a meta-heuristic evolutionary optimization method,imperialist competitive algorithm(ICA),for minimization of energy loss due to wheel rolling resistance in a soil bin facility equipped with single-wheel tester is *** required data were collected thorough various designed experiments in the controlled soil bin *** and global searching of the search space proposed that the energy loss could be reduced to the minimum amount of 15.46 J at the optimized input variable configuration of wheel load at 1.2 kN,tire inflation pressure of 296 kPa and velocity of 2 m/***,genetic algorithm(GA),particle swarm optimization(PSO)and hybridized GA–PSO approaches were benchmarked among the broad spectrum of meta-heuristics to find the outperforming *** was deduced that,on account of the obtained results,ICA can achieve optimum configuration with superior accuracy in less required computational time.

关键词： Imperialist competitive algorithm Genetic algorithm Particle swarm optimization Energy loss Soil bin

Integrity control of an RBmK-1500 fuel rod locally oxidized under a bounding reactivity-initiated accident

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Nuclear Science and Techniques 2019年第1期30卷 133-143页

作者： hamid Boucherit Algirdas Kaliatka Azzedine Lounis Division of Fuel Technology Nuclear Research Center of Draria Lithuanian Energy Institute Science and materials Engineering Laboratory University of Sciences and Technology Houari Boumediene

In 2007, the license for the second reactor unit of the Ignalina nuclear power plant was renewed considering the safety-related modifications introduced in this *** Safety Analysis Report for this reactor unit was prepared with more strict criteria. The bounding reactivityinitiated accident(RIA) performed by the Lithuanian Energy Institute could be mentioned as an example. The performed analysis demonstrated that even when the worst initial conditions and possible uncertainties are considered,the fuel cladding remains intact. However, the analysis was performed assuming a fresh fuel assembly. In this study, an analysis of the fuel rod cladding behavior in the RBmK-1500 reactor following a bounding RIA is performed using the computational codes FEmAXI-6 and RELAP5. The analysis is extended by modeling an oxide layer(nodular corrosion) on the external surface cladding. An uncertainty and sensitivity analysis was performed using a method developed by the Society for Plant and Reactor Safety,employing the Software for Uncertainty and Sensitivity Analyses, in order to evaluate the effect of the oxide layer on the inside and outside fuel rod temperatures. The results of the thermo-mechanical analysis(stress, strain, and enthalpy) for a local oxide layer with a thickness of 70μm show that despite the exceeded limit of allowed linear power density, the fuel rod is under acceptable safety conditions.

关键词： Safety Reactivity-initiated accident Corrosion RBmK-1500 FEmAXI-6 RELAP5 Software for Uncertainty and Sensitivity Analyses (SUSA)

Effects of drought and slope aspect on canopy facilitation in a mountainous rangeland

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Journal of Plant Ecology 2017年第4期10卷 626-633页

作者： mohammad Farzam hamid Ejtehadi Department of Range and Watershed management Faculty of Natural Resources and EnvironmentFerdowsi University of MashhadMashhadIran Department of Biology Faculty of SciencesFerdowsi University of MashhadMashhadIran

Aims Species composition and diversity of the mountainous rangelands are results of interactions between environmental severities,het-erogeneous topography and facilitative effects by nurse *** research was aimed to compare relative effects of these three envi-ronmental variables on the natural vegetation of a mountainous *** a more detailed understanding,effects of four dif-ferent nurse species were separately compared on the various plant growth forms and on two community plant responses(diversity and abundance).methods A mountainous semiarid rangeland was selected in Baharkish,Quchan,Northeast of *** and canopy cover of all plant species were recorded under the canopy of four different shrubs and in open areas,in north and south-facing aspects,and in a normal and a drought *** diversity,total abundance(%cover)and the abundance of different growth forms were used as crite-ria for assessing effects of the environmental *** were arranged in a factorial combination and analyzed by three-way analysis of variance using a GLm *** Findings(i)Drought,aspect and canopy created niche differentiation:annual forbs and shrubs were more affected by drought,whereas geophytes and grasses were more responsive to slope *** of drought and slope aspect were more profound on species diversity,whereas that of canopy facilitation was stronger on plant abundance.(ii)Canopy facili-tation was dependent on severity of the abiotic factors and life history of interacting *** facilitation allowed for the persistence of only annual forbs,but it was disadvantaged during the drought *** community responses to abiotic factors(slope and drought)were more dependent on the plant growth form,while responses to canopy facilitation were more dependent on the morphology and/or ecology of nurse shrubs.(iii)Effect of shrubs was dependent on their morphology and ecology:shrubs with larger canopy area and nitrogen fix

关键词： biotic interactions facilitation slope aspect plant ecology growth forms

A low-power and low-energy flexible GF(p) elliptic-curve cryptography processor

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Journal of Zhejiang University-Science C(Computers and Electronics) 2010年第9期11卷 724-736页

作者： hamid Reza AHmADI Ali AFZALI-KUSHA School of Electrical and Computer Engineering University of Tehran

We investigate the use of two integer inversion algorithms,a modified montgomery modulo inverse and a Fermat's Little Theorem based inversion,in a prime-field affine-coordinate elliptic-curve *** perform this,we present a low-power/energy GF(p) affine-coordinate elliptic-curve cryptography(ECC) processor design with a simplified architecture and complete flexibility in terms of the field and curve *** design can use either of the inversion *** on the implementations of this design for 168-,192-,and 224-bit prime fields using a standard 0.13 μm CmOS technology,we compare the efficiency of the algorithms in terms of power/energy consumption,area,and calculation *** results show that while the Fermat's theorem approach is not appropriate for the affine-coordinate ECC processors due to its long computation time,the montgomery modulo inverse algorithm is a good candidate for low-energy *** results also show that the 168-bit ECC processor based on the montgomery modulo inverse completes one scalar multiplication in only 0.4 s at a 1 mHz clock frequency consuming only 12.92 μJ,which is lower than the reported values for similar designs.

关键词： Elliptic-curve cryptography(ECC) Prime field montgomery multiplication montgomery inverse Low-energy

Effect of Stewing in Cooking Step on Textural and morphological Properties of Cooked Rice

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Rice science 2009年第3期16卷 243-246页

作者： E.ghasemi m.T.Hamed mOSAVIAN m.H.Haddad KHODAPARAST Chemical Engineering Department Ferdowsi University of Mashhad Food Science and Technology Department Ferdowsi University of Mashhad

Stewing of rice grains by steam after boiling in excess water can be used for cooking rice perfectly. The effects of this procedure in cooking of three varieties of Iranian rice （Sang Tarom, Domsiyah and Fair） on textural and morphological properties of cooked rice grains were investigated. The results showed that this step in rice cooking reduced the hardness and increased the adhesiveness of rice grains significantly. By the use of the scanning electron microscopy, it was shown that the outer surface of cooked rice stewed by steam had less porosity and closer pores due to the modification during cooking, and better gelatinization and more expansion of starch granules compared to non-stewed samples. The use of this procedure in rice cooking to provide a fully cooked and gelatinized, softer and stickier final product is recommended.

关键词： rice cooking stewing gelatinization texture morphological properties

Complementary Inequalities to Improved Am-Gm Inequality

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Acta mathematica Sinica,English Series 2017年第12期33卷 1609-1616页

作者： hamid Reza mORADI mohsen Erfanian OmIDVAR Department of mathematics Mashhad Branch Islamic Azad University Mashhad Iran

Following an idea of Lin, we prove that if A and B are two positive operators such that 0 〈 mI 〈 A 〈 m＇I ≤ m＇I ≤B 〈 mI, then Ф^2（A＋B/2）≤K^2（h）/（1＋（logm＇/m＇）^2/8）^2Ф^2（A#B）,and Ф^2（A＋B/2）≤K^2（h）/（1＋（logm＇/m＇）^2/8）^2（Ф（A）#Ф（B））^2,where K（h） = （h＋1）2 /4h and h = m and Ф is a positive unital linear map.

关键词： Operator inequalities positive linear maps operator norm Kantorovich inequality Wielandt inequality

Optimizing artificial neural network-based indoor positioning system using genetic algorithm

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International Journal of Digital Earth 2013年第2期6卷 158-184页

作者： hamid mehmood Nitin K.Tripathi Remote Sensing&Geographic Information Systems Field of Study School of Engineering and TechnologyAsian Institute of TechnologyPathumthaniThailand

The Global Positioning System(GPS)is expected to play an integral role in the development of digital earth;however,the GPS cannot provide positioning information in regions where a majority of the population spends their time,that is,in urban and indoor ***,alternate positioning systems that work in indoor and urban environments should be developed to achieve the vision of digital ***-Fi-based positioning systems(WPS)stand out because of the near-ubiquitous presence of the associated infrastructure and signals in indoor *** WPS-based fingerprinting is the most widely adopted technique for position determination,but its accuracy is lower than that of techniques such as time of arrival and angle of *** the accuracy is still a challenging task because of the complex nature of the propagation of Wi-Fi ***,a novel server-based,genetic-algorithm-optimized,cascading artificial neural network-based positioning model is *** model is tested in 2D and 3D indoor environments under varying *** model is thoroughly investigated on a real Wi-Fi network,and its accuracy is found to be better than that of other well-known techniques.A mean accuracy of 1.9 m is achieved with 87%of the distance error within the range of 0-3 m.

关键词： indoor positioning systems GNSS Wi-Fi positioning artificial neural networks genetic algorithms

Noncommutative Inspired Reissner-Nordstrm Black Holes in Large Extra Dimensions

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Communications in Theoretical Physics 2010年第3期53卷 503-513页

作者： Kourosh Nozari S.hamid mehdipour Department of Physics Faculty of Basic SciencesUniversity of Mazandaran Babolsar IRAN Research Institute for Astronomy and Astrophysics of Maragha Islamic Azad University Lahijan Branch

Recently, a new noncommutative geometry inspired solution of the coupled Einstein maxwell field equations including black holes in 4-dimension is found. In this paper, we generalize some aspects of this model to the Reissner Nordstrom （RN） like geometries with large extra dimensions. We discuss Hawking radiation process based on noncommutative inspired solutions. In this framework, existence of black hole remnant and possibility of its detection in LHC are investigated.

关键词： quantum gravity black hole thermodynamics noncommutative spacetime large extra dimensions

An Improved Optimized model for Invisible Backdoor Attack Creation Using Steganography

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Computers, materials & Continua 2022年第7期72卷 1173-1193页

作者： Daniyal m.Alghazzawi Osama Bassam J.Rabie Surbhi Bhatia Syed hamid Hasan Faculty of Computing and Information Technology King Abdulaziz UniversityJeddah21589Saudi Arabia Department of Information Systems College of Computer Sciences and Information TechnologyKing Faisal UniversitySaudi Arabia

The Deep Neural Networks(DNN)training process is widely affected by backdoor *** backdoor attack is excellent at concealing its identity in the DNN by performing well on regular samples and displaying malicious behavior with data poisoning *** state-of-art backdoor attacks mainly follow a certain assumption that the trigger is sample-agnostic and different poisoned samples use the same *** overcome this problem,in this work we are creating a backdoor attack to check their strength to withstand complex defense strategies,and in order to achieve this objective,we are developing an improved Convolutional Neural Network(ICNN)model optimized using a Gradient-based Optimization(GBO)(ICNN-GBO)*** the ICNN-GBO model,we are injecting the triggers via a steganography and regularization *** are generating triggers using a single-pixel,irregular shape,and different *** performance of the proposed methodology is evaluated using different performance metrics such as Attack success rate,stealthiness,pollution index,anomaly index,entropy index,and *** the CNN-GBO model is trained with the poisoned dataset,it will map the malicious code to the target *** proposed scheme’s effectiveness is verified by the experiments conducted on both the benchmark datasets namely CIDAR-10 andmSCELEB 1m *** results demonstrate that the proposed methodology offers significant defense against the conventional backdoor attack detection frameworks such as STRIP and Neutral cleanse.

关键词： Convolutional neural network gradient-based optimization steganography backdoor attack and regularization attack