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Hybrid time Delay Petri Nets as a Mathematical Novel Tool to Model Dynamic System with Current sample time

کلیدواژه: Hybrid Petri Nets,Current sample time signals,Capsubot robot,Genetic algorithm

نویسندگان: Ahangarani Farahani A., DIDEBAN A.

ناشر: کنترل و بهینه سازی در ریاضیات کاربردی - CONTROL AND OPTIMIZATION IN APPLIED MATHEMATICS

The existing modeling methods using Petri Nets, have been successfully applied to model and analyze dynamic systems. However, these methods are not capable of modeling all dynamic systems such as systems with the current sample time signals, systems including various subsystems and multi-mode system... ادامه

سال:2018

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Modeling and Evaluation of Hybrid Covert Timing Channel on Internet Using Coloured Petri net

کلیدواژه: Covert Timing Channel,Inter-Packet Gap,Packet Reordering,Packet Loss,Modeling Coloured Petri Net

نویسندگان: DEHGHANI M., SALEH ESFAHANI M.

ناشر: علوم و فناوری های پدافند نوین - Advanced Defense Science and Technology

Covert timing channels are used to transmit information through computer networks in a seamless or secret way. Inter-packet gap and packet reordering are among techniques of encoding information in covert channels. Several reports on evaluating the capacity and the robustness of covert channels are ... ادامه

سال:2014

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A 3D time-Variant Non-Stationary Hybrid Channel Model for Massive MIMO Systems

کلیدواژه: Channel modeling,doppler effect,clustering,massive MIMO,ray tracing,5G

نویسندگان: Tamaddondar Mohammad Mehdi, NOORI NARGES

ناشر: - International Journal of Information and Communication Technology Research

This paper presents a novel three-dimensional (3D) time-variant Hybrid channel model for massive multiple input multiple output (M-MIMO) wireless systems. The main aim of the proposed model is to find channel characteristics in a simple and precise manner. To achieve this purpose, this channel model... ادامه

سال:2019

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A Hybrid Model based on Ant Lion Optimization algorithm and K-Nearest Neighbors algorithm to Diagnose Liver Disease

کلیدواژه: Ant lion optimization (ALO) algorithm,Classification,Diagnosis of liver disease,K-nearest neighbors (KNN) algorithm

نویسندگان: JAVADZADEH SH., Shayanfar H., Soleimanian Qarachapaq F.

ناشر: مجله دانشگاه علوم پزشکی ایلام - Journal of Ilam University of Medical Sciences

Introduction: Given that a huge amount of cost is imposed on public and private hospitals from the department of liver diseases, it is necessary to provide a method to predict liver diseases. This study aimed to propose a Hybrid model based on the Ant Lion Optimization algorithm and K-Nearest Neighb... ادامه

سال:2021

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Spatial-Temporal Disaggregation of Rainfall time Series Using Wavelet-Artificial Neural Network Hybrid Model

کلیدواژه: Rainfall Time Series,Disaggregation,Artificial Neural Networks,Wavelet Transform,Hybrid Model

نویسندگان: Farboudfam N., NOURANI V., AMINNEJAD B.

ناشر: تحقیقات منابع آب ایران - Iran-Water Resources Research (IWRR)

Due to the need to simulate rainfall time series at different time scales for engineering purposes on one hand and lack of recordings for these parameters in small scales caused by the administrative and financial problems, on the other hand, disaggregation of rainfall time series to the desired sca... ادامه

سال:2019

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Modeling of River Quality Parameters Using Hybrid time Series Models (Case Study: Gedarchay River)

کلیدواژه: Contemporaneous Models,Linear Models,Multivariate Models,Time series,Water Quality

نویسندگان: Sepehri L., KHALILI K.

ناشر: آبیاری و زهکشی ایران - Iranian Journal of Irrigation and Drainage

In this research, in order to study and evaluate the accuracy of single-variable time series models, multivariables time series and Hybrid models in modeling the river flow quality values in the Peygale hydrometric station located in the west of Lake Urmia from data The qualitative flow of the river... ادامه

سال:2019

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Developing a Hybrid Model to Estimate Expected Return Based on Genetic algorithm

کلیدواژه: The results show that applying the hybrid model increases the predictive power of realized return compared to other research models

نویسندگان: Asima Mehdi, Abbaszadeh Asl Amir Ali

ناشر: تحقیقات مالی - Financial Research Journal

Objective: Capital asset pricing model (CAPM) has been among the most common models to estimate the expected return. In the standard CAPM model, a) the beta coefficient is fixed and b) the relationship between stock returns and market returns is assumed to be linear. While in financial markets, it i... ادامه

سال:2019

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Hybrid time Series Modelling for Forecasting the Price of Washed Coffee (Arabica Plantation Coffee) in India

کلیدواژه:

نویسندگان:

ناشر: INTERNATIONAL JOURNAL OF AGRICULTURE SCIENCES - INTERNATIONAL JOURNAL OF AGRICULTURE SCIENCES

... ادامه

سال:2017

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Hybrid Analytical Models based on Queueing Networks and Generalized Stochastic Petri Nets for Performance Analysis of Load Balancing in Cloud Systems

کلیدواژه: Analytical modeling,Queueing network,Petri network,Cloud computing,Load balancing

نویسندگان: Ataie Ehsan

ناشر: رایانش نرم و فن آوری اطلاعات - JOURNAL OF SOFT COMPUTING AND INFORMATION TECHNOLOGY (JSCIT)

In this paper, analytical models are presented for modeling cloud load balancing mechanism combing queueing networks (QNs) and generalized stochastic Petri nets (GSPNs). To this end, a Hybrid model is proposed to model a cluster inside an Infrastructure-as-a-Service (IaaS) cloud data center in the f... ادامه

سال:2022

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Evaluation of Random Forest-Genetic algorithm Hybrid Model in Estimating Daily Solar Radiation

کلیدواژه: Ardabil,Intelligent Models,Optimization,Solar Energy

نویسندگان: Hashemi Sajjad, Samadianfard Saeed, Sadraddini Ali Ashraf

ناشر: محیط زیست و مهندسی آب - Environment and Water Engineering

Solar energy is the most important source of renewable energy, in other words, the main source of energy on Earth. Therefore, estimating the solar radiation parameter with high accuracy is very important. In this regard, in the present study, meteorological data of 3 meteorological stations of Ardab... ادامه

سال:2022

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