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new approach to solving master equations of density operator for the Jaynes Cummings model with cavity damping

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Chinese Physics B 2014年第9期23卷 65-70页

作者： Seyed mahmoud Ashrafi mohammad Reza Bazrafkan Physics Department Faculty of ScienceI.K.I.University

By introducing thermo-entangled state representation Ⅰη〉, which can map master equations of density operator in quantum statistics as state-vector evolution equations, and using ＂dissipative interaction picture＂ we solve the master equation of Jaynes-Cummings model with cavity damping. In addition we derive the Wigner function for density operator when the atom is initially in the up state Ⅰ↑〉 and the cavity mode is in coherent state.

关键词： Jaynes-Cummings model entangled state representation master equations

Unraveling a Driven Damped Harmonic Oscillator through Entangled State Representation

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Chinese Physics Letters 2013年第11期30卷 22-24页

作者： Seyed mahmoud Ashrafi mohammad Reza Bazrafkan Department of Physics Faculty of ScienceI.K.I.UniversityQazvinIran

Employing the thermo-entangled state representation,the common eigenstates of relative position and the total momentum of a two-mode system,we solve the master equation of a damped harmonic oscillator driven by a time... 详细信息

关键词： field momentum harmonic

numerical simulation of two-phase flow in fractured porous media using streamline simulation and IMPES methods and comparing results with a commercial software

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Journal of Central South University 2016年第10期23卷 2630-2637页

作者： mahmoud Ahmadpour Majid Siavashi mohammad Hossein Doranehgard Applied Multi-Phase Fluid Dynamics Lab. School of Mechanical Engineering Iran University of Science and Technology

Streamline simulation is developed to simulate waterflooding in fractured reservoirs. Conventional reservoir simulation methods for fluid flow simulation in large and complex reservoirs are very costly and time consuming. In streamline method, transport equations are solved on one-dimensional streamlines to reduce the computation time with less memory for simulation. First, pressure equation is solved on an Eulerian grid and streamlines are traced. Defining the "time of flight", saturation equations are mapped and solved on streamlines. Finally, the results are mapped back on Eulerian grid and the process is repeated until the simulation end time. The waterflooding process is considered in a fractured reservoir using the dual porosity model. Afterwards, a computational code is developed to solve the same problem by the IMPES method and the results of streamline simulation are compared to those of the IMPES and a commercial software. Finally, the accuracy and efficiency of streamline simulator for simulation of two-phase flow in fractured reservoirs has been proved.

关键词： two-phase flow porous media fractured reservoirs streamline simulation dual porosity implicit pressure-explicit saturation

Multi-Stage-Based Siamese neural network for Seal Image Recognition

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Computer Modeling in Engineering & Sciences 2025年第1期142卷 405-423页

作者： Jianfeng Lu Xiangye Huang Caijin Li Renlin Xin Shanqing Zhang mahmoud Emam School of Computer Science and Technology Hangzhou Dianzi UniversityHangzhou310018China Shangyu Institute of Science and Engineering Hangzhou Dianzi UniversityShaoxing312300China Faculty of Artificial Intelligence Menoufia UniversityShebin El-Koom32511Egypt

Seal authentication is an important task for verifying the authenticity of stamped seals used in various domains to protect legal documents from tampering and *** seal inspection is commonly audited manually to ensure document ***,manual assessment of seal images is tedious and laborintensive due to human errors,inconsistent placement,and completeness of the *** image recognition systems are inadequate enough to identify seal types accurately,necessitating a neural network-based method for seal image ***,neural network-based classification algorithms,such as Residual networks(Resnet)andVisualGeometryGroup with 16 layers(VGG16)yield suboptimal recognition rates on stamp ***,the fixed training data categories make handling new categories to be a challenging *** paper proposes amulti-stage seal recognition algorithmbased on Siamese network to overcome these ***,the seal image is pre-processed by applying an image rotation correction module based on Histogram of Oriented Gradients(HOG).Secondly,the similarity between input seal image pairs is measured by utilizing a similarity comparison module based on the Siamese ***,we compare the results with the pre-stored standard seal template images in the database to obtain the seal *** evaluate the performance of the proposed method,we further create a new seal image dataset that contains two subsets with 210,000 valid labeled pairs in *** proposed work has a practical significance in industries where automatic seal authentication is essential as in legal,financial,and governmental sectors,where automatic seal recognition can enhance document security and streamline validation ***,the experimental results show that the proposed multi-stage method for seal image recognition outperforms state-of-the-art methods on the two established datasets.

关键词： Seal recognition seal authentication document tampering siamese network spatial transformer network similarity comparison network

Recent advances in myeloid-derived suppressor cell biology

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Frontiers of Medicine 2021年第2期15卷 232-251页

作者： mahmoud mohammad Yaseen nizar mohammad Abuharfeil Homa Darmani Ammar Daoud Department of Biotechnology and Genetic Engineering Department of Applied Biology Faculty of Science and Arts Department of Internal Medicine Faculty of MedicineJordan University of Science and TechnologyIrbid 22110Jordan

In recent years,studying the role of myeloid-derived suppressor cells(MDSCs)in many pathological inflammatory conditions has become a very active research *** the role of MDSCs in cancer is relatively well established,their role in non-cancerous pathological conditions remains in its infancy resulting in much *** objectives in this review are to address some recent advances in MDSC research in order to minimize such confusion and to provide an insight into their function in the context of other *** following topics will be specifically focused upon:(1)definition and characterization of MDSCs;(2)whether all MDSC populations consist of immature cells;(3)technical issues in MDSC isolation,estimation and characterization;(4)the origin of MDSCs and their anatomical distribution in health and disease;(5)mediators of MDSC expansion and accumulation;(6)factors that determine the expansion of one MDSC population over the other;(7)the Yin and Yang roles of ***,the functions of MDSCs will be addressed throughout the text.

关键词： non-human primates(rhesus macaques) myeloid-derived pro-inflammatory cells(MDPCs) autoimmune disorders alloimmune responses pregnancy mature MDSCs multiple sclerosis Yin-Yang law of MDSCs

Robust Control Design of Wheeled Inverted Pendulum Assistant Robot

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IEEE/CAA Journal of Automatica Sinica 2017年第4期4卷 628-638页

作者： Magdi S.mahmoud mohammad T.nasir Systems Engineering Department King Fahd University of Petroleum and MineralsDhahran 31261Saudi Arabia

This paper examines the design concept and mobile control strategy of the human assistant robot I-PEnTAR(inverted pendulum type assistant robot). The motion equation is derived considering the non-holonomic constraint of the twowheeled mobile robot. Different optimal control approaches are applied to a linearized model of I-PEnTAR. These include linear quadratic regulator(LQR), linear quadratic Gaussian control(LQG), H_2 control and H_∞ control. Simulation is performed for all the approaches yielding good performance results.

关键词： I-PEnTAR robot linear quadratic regulator(LQR) control design model predictive control(MPC) observerbased feedback control robust H_∞ control

nUMERICAL PREDICTIOnS AnD EXPERIMEnTAL VALIDATIOnS OF DUCTILE DAMAGE EVOLUTIOn In SHEET METAL FORMInG PROCESSES

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Acta Mechanica Solida Sinica 2012年第6期25卷 638-650页

作者： Farhad Haji Aboutalebi mahmoud Farzin mohammad Mashayekhi Department of Mechanical Engineering University of Isfahan Department of Mechanical Engineering Isfahan University of Technology

Prediction of forming limit in sheet metal forming is among the most important challenges confronting researchers. In this paper, a fully coupled elastic-plastic-damage model has been developed and implemented into an explicit code. Due to the adoption of the plane stress and finite strain theories, model can predict deformation and damage of parts quickly and accurately. Also, damage initiation, propagation, and fracture in some operations are predicted and validated with experiments. It is concluded that finite strain combined with continuum damage mechanics can be used as a quick tool to predict ductile damage, fracture, and forming limits in sheet metal forming processes.

关键词： ductile damage finite strain fracture sheet metal forming

Chaotic Metaheuristics with Multi-Spiking neural network Based Cloud Intrusion Detection

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Computers, Materials & Continua 2023年第3期74卷 6101-6118页

作者： mohammad Yamin Saleh Bajaba Zenah mahmoud AlKubaisy Department of Management Information Systems Faculty of Economics and AdministrationKing Abdulaziz UniversityJeddah21589Saudi Arabia Department of Business Administration Faculty of Economics and AdministrationKing Abdulaziz UniversityJeddah21589Saudi Arabia

Cloud Computing(CC)provides data storage options as well as computing services to its users through the *** the other hand,cloud users are concerned about security and privacy issues due to the increased number of *** protection has become an important issue since the users’information gets exposed to third *** networks are exposed to different types of attacks which have extensively grown in addition to the novel intrusion methods and hacking *** Detection Systems(IDSs)can be used in a network to manage suspicious *** IDSs monitor the activities of the CC environment and decide whether an activity is legitimate(normal)or malicious(intrusive)based on the established system’s confidentiality,availability and integrity of the data *** the current study,a Chaotic Metaheuristics with Optimal Multi-Spiking neural network-based Intrusion Detection(CMOMSnn-ID)model is proposed to secure the cloud *** presented CMOMSnnID model involves the Chaotic Artificial Bee Colony Optimization-based Feature Selection(CABC-FS)technique to reduce the curse of *** addition,the Multi-Spiking neural network(MSnn)classifier is also used based on the simulation of brain *** is applied to resolve pattern classification *** order to fine-tune the parameters relevant to theMSnn model,theWhale Optimization Algorithm(WOA)is employed to boost the classification *** demonstrate the superiority of the proposed CMOMSnn-ID model,a useful set of simulations was *** simulation outcomes inferred that the proposed CMOMSnn-ID model accomplished a superior performance over other models with a maximum accuracy of 99.20%.

关键词： Cloud computing security intrusion detection feature selection multi-spiking neural network

Damping in a Squeezed Bath and Its Time Evolution through the Complete Class of Gaussian Quasi-Distributions

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Chinese Physics Letters 2014年第7期31卷 20-23页

作者： mohammad Reza Bazrafkan Seyed mahmoud Ashrafi Fahimeh naghdi Physics Department Faculty of Science Imam Khomeini International University Qazvin Iran

By virtue of the thermo-entangled states representation of the density operator and using the dissipative interaction picture, we solve the master equation of a driven damped harmonic oscillator in a squeezed bath. We show that the essential part of the dynamics can be expressed by the convolution of the initial Wigner function with a special kind of normalized Gaussian in the phase space and relate the dynamics with the change of Gaussian ordering of the density operator.

关键词： Quantum entanglement