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Conveyor Belt Object Identification: Mathematical, Algorithmic, And Software Support, Vladyslav V. Yevsieiev, Igor S. Nevliudov, Svitlana S. Maksymova, Murad A. O. Omarov, Oleksandr M. Klymenko
Conveyor Belt Object Identification: Mathematical, Algorithmic, And Software Support, Vladyslav V. Yevsieiev, Igor S. Nevliudov, Svitlana S. Maksymova, Murad A. O. Omarov, Oleksandr M. Klymenko
Applied Mathematics & Information Sciences
This article is devoted to the development of a package identification system on a mixed conveyor sorting line with a vertical lift from Kapelou. In the conditions of modern Warehouse 4.0 systems requirements, a tasks number arise associated with automatic objects sorting in real time. One of the most common is QR codes using, as it is the most cost- effective. But the introduction of automated systems for identifying objects on a conveyor line based on QR codes causes a number of tasks that are associated with the dynamic parameters of identifying the location of the package in the recognition …
A Survey On High Dimensional Computing With Arabic Language Processing, George Samy Rady, Mamdouh Farouk Mohamed
A Survey On High Dimensional Computing With Arabic Language Processing, George Samy Rady, Mamdouh Farouk Mohamed
Applied Mathematics & Information Sciences
A growing amount of Arabic textual content comes accessible via the World Wide Web in properties and companies via Internet and Intranet services, there is a pressing need for technology and tools to handle the relevant data. In the context of Arabic processing of language, high-dimensional computation. The stemming method is intended to be used throughout document categorization to lower the high dimensionality of the domain of features, which improves categorization system performance, especially for highly modulating languages such as Arabic. It then digs into other sub-topics, such as methods for decreasing dimensionality, categorization computations, natural language processing jobs, and …
New Class Of Trivariate Copula: A Case Study For Water Quality Measurements, M. M. Seyam, N. M. Kilany
New Class Of Trivariate Copula: A Case Study For Water Quality Measurements, M. M. Seyam, N. M. Kilany
Applied Mathematics & Information Sciences
In this paper, we provide a new method to construct trivariate copula which generalizes a class of bivariate copula. Based on the new method, two trivariate copulas are introduced using Product, Ali-Mikhail-Haq and Farlie- Gumbel-Morgenstern bivariate copulas. The selection of a bivariate copulas is adapted to make that the new trivariate copula satisfy the mathematical properties of the copula. Some properties concerning dependence concepts of the two new classes of trivariate copulas are discussed. Finally, an application for water quality measurements is presented to show applicability of the proposed copulas. We compare the new trivariate copula to the trivariate nested …
A Proposed Model For Integration And Cooperation Between University, Industry, And Government In Arab Countries: Innovation Triple Helix Model, Amjad Mahmoud Daradkah, Turki K. Alotaibi, Ashraf Mahmoud Ahmed Mahmoud, Buthiana Elias Awais, Mohammed Amen Al-Qudah, Radi Mohammad Al Shannaq
A Proposed Model For Integration And Cooperation Between University, Industry, And Government In Arab Countries: Innovation Triple Helix Model, Amjad Mahmoud Daradkah, Turki K. Alotaibi, Ashraf Mahmoud Ahmed Mahmoud, Buthiana Elias Awais, Mohammed Amen Al-Qudah, Radi Mohammad Al Shannaq
Applied Mathematics & Information Sciences
This research develops a proposed model for integration and cooperation between university, industry, and government in Arab countries using the innovation Triple Helix Model. The mixed-method approach with its quantitative and qualitative aspects is used to achieve the research objectives. The research sample consists of a sample of 51 experts from the university, government, and industry sector in the first round, and 30 experts in the second round. Among the results is that the research develops a proposed model for integration of the roles and aspects of cooperation between the university, industry, and government in Arab countries using the triple …
A Weakly Nonlinear Ion-Acoustic Waves In Magnetized Electron-Positron Plasma: A Fractional Model, Mohammad Alquran, Asad Freihat, Mohammed Zurigat, Mohammed Alabedalhadi
A Weakly Nonlinear Ion-Acoustic Waves In Magnetized Electron-Positron Plasma: A Fractional Model, Mohammad Alquran, Asad Freihat, Mohammed Zurigat, Mohammed Alabedalhadi
Applied Mathematics & Information Sciences
In this paper, we investigate the optical soliton solutions for a fractional weakly nonlinear ion-acoustic wave in a magnetized electron–positron plasma using the fractional modified Korteweg–deVries–Zakharov–Kuznetsov (f-mKdV-ZK) model. The fractional calculus framework is employed to describe the non-local effects arising from the long-range interactions and memory effects in the plasma medium. The presence of a magnetic field introduces additional complexities to the dynamics of ion-acoustic waves in electron–positron plasmas. We derive the governing equations for the f-mKdV-ZK model and employ the reductive perturbation method to obtain the corresponding optical soliton solutions. The obtained soliton solutions reveal the influence of fractional …
Automated Classification Of User Requirements Written In Arabic Using Machine Learning Algorithms, Ahmad Althunibat, Reem Amro, Belal Hawashin, Hend Alnuhait, Sally Almanasra, Haneen A. Al-Khawaja
Automated Classification Of User Requirements Written In Arabic Using Machine Learning Algorithms, Ahmad Althunibat, Reem Amro, Belal Hawashin, Hend Alnuhait, Sally Almanasra, Haneen A. Al-Khawaja
Applied Mathematics & Information Sciences
Requirement engineering is a critical step in software engineering, influencing software development outcomes. The manual classification of software requirements into Functional Requirements and Non-Functional Requirements is a laborious and costly process with varying accuracy. Errors in classification can lead to misunderstandings and incomplete products. Arabic requirements pose additional challenges due to their structural and semantic characteristics, contributing to inherent ambiguity. In addition to the lack of Arabic Studies as well as the public datasets for requirements written in Arabic.This study proposes combining machine learning and deep learning algorithms, including K-nearest neighbors (KNN), Support Vector Machines (SVMs), Random Forest, XGBoost, and …
A Novel Formula For Solving Integral Transforms, Mortada S. Ali, Abd Elmotaleb A. M. A. Elamin, Alshaikh A. Shokeralla, Mawahib Elamin
A Novel Formula For Solving Integral Transforms, Mortada S. Ali, Abd Elmotaleb A. M. A. Elamin, Alshaikh A. Shokeralla, Mawahib Elamin
Applied Mathematics & Information Sciences
In this paper, we present a novel formula to solve well-known integral transforms (Laplace andFourier) as well as new integral transform (Sumudu) and their inverses in a clear and practicalmanner. This formula is restricted to integrals that include a derivable function multiplied by anexponential function. The proposed methodology is presented gradually in this article to dealwith these integrals. Moreover, we give provide examples to illustrate the effectiveness of thenew formula.
A Predictive Technique Using Random Forest Classifier For Phishing Malicious Attack, Abdullah Alhaj, Mua’Ad Abu-Faraj, Basel J. A. Ali
A Predictive Technique Using Random Forest Classifier For Phishing Malicious Attack, Abdullah Alhaj, Mua’Ad Abu-Faraj, Basel J. A. Ali
Applied Mathematics & Information Sciences
A person with an email account is always vulnerable to fraud. An email account can be exploited by using a type of social engineering attack where the attackers trick the victims to steal user credentials by masquerading as a trusted entity. Email phishing has become the major action performed in various sectors such as banking, business, any enterprise or social media etc. While the action of phishing, the attackers make use of another technique called email spoofing. Email spoofing is not much different from email phishing since the email spoofing involves the usage of forged email header pretending as an …
Generalized Q-Integral Inequalities Using (H ̄-M) And (Α-M) Convexities, Ghulam Farid, Waseela Bibi, Mawahib Elamin, Huda Uones Mohamd Ahamd, Jihan Alahmadi, Neama Yahia
Generalized Q-Integral Inequalities Using (H ̄-M) And (Α-M) Convexities, Ghulam Farid, Waseela Bibi, Mawahib Elamin, Huda Uones Mohamd Ahamd, Jihan Alahmadi, Neama Yahia
Applied Mathematics & Information Sciences
In this paper certain inequalities are established for q-h-integrals by applying definitions of two types of convex functions. The Hermite-Hadamard inequality in different variants for q-h-integrals is given by using (h ̄-m)- and (α-m)-convex functions. Some well-known q-integral inequalities for several types of convex functions are deduced.
Power–Linear Hazard Distribution Via K-Th Record Values And Characterization
Power–Linear Hazard Distribution Via K-Th Record Values And Characterization
Applied Mathematics & Information Sciences
The power-linear hazard distribution was introduced by [1] as a mixture of power and linear hazard function. This distribution embodies the many lifetime distributions. This paper devotes to establish the recurrence relation based on kth record values. Moreover, characterization results also derived via moment properties.
A Numerical Confirmation Of A Fractional Seitr For Influenza Model Efficiency, Dalal Khalid Almutairi, Mohamed A.Abdoon, Mohammed Berir, Rania Saadeh, Ahmad Qazza
A Numerical Confirmation Of A Fractional Seitr For Influenza Model Efficiency, Dalal Khalid Almutairi, Mohamed A.Abdoon, Mohammed Berir, Rania Saadeh, Ahmad Qazza
Applied Mathematics & Information Sciences
The main idea of this study is to reduce the number of susceptible to infections so that ill patients can receive prompt hospitalization. Fractional SEITR was introduced for this purpose. Both endemic and disease-free equilibrium’s’ durability was examined. The fundamental reproduction number of the fractional SEITR model was determined using the next-generation matrix method. Our analytical results were supported by numerical models. Here, a graphical representation of the fractional order model is presented to validate the conclusion through numerical simulation. We have come to the conclusion that the fractional order model is more precise and provides more information about the …
Existence And Uniqueness Of Near-Coupled Coincidence Points In Partial Cone-Interval Metric Spaces, S. S. Solieman Almassri, Nashat Faried, Sahar Mohamed Ali Abou Bakr, H. Abd El-Ghafar∗
Existence And Uniqueness Of Near-Coupled Coincidence Points In Partial Cone-Interval Metric Spaces, S. S. Solieman Almassri, Nashat Faried, Sahar Mohamed Ali Abou Bakr, H. Abd El-Ghafar∗
Applied Mathematics & Information Sciences
This paper introduces a new type of space called partial cone-interval metric space, and explores some of its topological properties. Using a novel fixed-point technique, we investigate the existence and uniqueness of near-coupled coincidence points in this setting. We provide numerical examples to demonstrate the effectiveness of our approach.
Ara-Homotopy Perturbation Technique With Applications, Abdelilah K. Sedeeg, Rania Saadeh, Ahmad Qazza, Mohammad A. Amleh, Mohand M. Abdelrahim
Ara-Homotopy Perturbation Technique With Applications, Abdelilah K. Sedeeg, Rania Saadeh, Ahmad Qazza, Mohammad A. Amleh, Mohand M. Abdelrahim
Applied Mathematics & Information Sciences
In this study, we propose a novel combination method between the ARA integral transform and the homotopy perturbation approach to solve systems of nonlinear partial differential equations. The difficulty arising in solving nonlinear partial differential equations could simply be overcome by using He’s polynomials during the application of the new method. The proposed technique can provide the solutions of the target problems without pre-assumptions or restrictive constrains in addition to avoiding the round-off errors. The efficiency of the new method is illustrated by applying it to solve different examples of systems of nonlinear partial differential equations. We discuss three interesting …
A Probabilistic Siri Epidemic Model Incorporating Incidence Capping And Logistic Population Expansion, Soulaimane Aznague, Mourad El Idrissi, Abdeladim Nait Brahim, Bilal Harchaoui, Saloua Boutouil, Adel Settati
A Probabilistic Siri Epidemic Model Incorporating Incidence Capping And Logistic Population Expansion, Soulaimane Aznague, Mourad El Idrissi, Abdeladim Nait Brahim, Bilal Harchaoui, Saloua Boutouil, Adel Settati
Applied Mathematics & Information Sciences
This study presents a newly developed stochastic SIRI epidemic model, which combines logistic growth with a saturation incidence rate. This research mainly examines the presence and uniqueness of positive solutions within the formulated model. Furthermore, we aim to analyze the long-term performance of the system and provide valuable insights into disease extinction in a population. Our investigation delves into the conditions required for disease extinction, which are crucial in predicting and controlling the spread of deadly diseases. To substantiate our assertions, we have devised a stochastic Lyapunov function, which serves as a robust mathematical framework for demonstrating the presence of …
On Weighted Discretized Fre ́Chet-Weibull Distribution With Application To Real Life Data, Diksha Das, Bhanita Das
On Weighted Discretized Fre ́Chet-Weibull Distribution With Application To Real Life Data, Diksha Das, Bhanita Das
Applied Mathematics & Information Sciences
Weighted distributions have great practical importance in mathematics, probability and statistics. In this study a new discrete distribution which is a weighted version of Discretized Fréchet-Weibull distribution (DFWD), known as Weighted Discretized Fréchet-Weibull distribution (WDFWD), is proposed. It has been shown that the distribution is unimodal, positively skewed and suitable for modelling with overdispersed count data sets. This distribution has bathtub shape and decreasing hazard rate function. Various statistical properties and simulation of the proposed distribution are obtained. The estimation of parameters have been handled by the method of maximum likelihood estimation. Finally, the proposed model has been fitted to …
Chaos In New Polynomial Discrete Logistic Maps With Fractional Derivative And Applications For Text Encryption, Kalsouabe Zoukalne, Ahamat Mahamat Hassane, Mahamoud Youssouf Khayal, Paul Woafo
Chaos In New Polynomial Discrete Logistic Maps With Fractional Derivative And Applications For Text Encryption, Kalsouabe Zoukalne, Ahamat Mahamat Hassane, Mahamoud Youssouf Khayal, Paul Woafo
Applied Mathematics & Information Sciences
In this paper, we propose new polynomial discrete logistic equations based on the classical logistic map, which exhibit chaotic behavior as control parameters vary. We also explore versions with fractional derivatives. Using the chaotic sequence generated by these equations, we develop an encryption scheme for text. The scheme relies on initial conditions, control parameters, and a transformation of text characters into values between 0 and 1, followed by a transformation to discrete chaotic values for transmission
Forecasting Economic Growth And Movements With Wavelet Transform And Arima Model, Omar Alsinglawi, Omar Alsinglawi, Mohammad Aladwan, Mohammad Aladwan, Saddam Alwadi, Saddam Alwadi
Forecasting Economic Growth And Movements With Wavelet Transform And Arima Model, Omar Alsinglawi, Omar Alsinglawi, Mohammad Aladwan, Mohammad Aladwan, Saddam Alwadi, Saddam Alwadi
Applied Mathematics & Information Sciences
This study uses historical data and modern statistical models to forecast future Gross Domestic Product (GDP) in Jordan. The Wavelet Transformation model (WT) and Autoregressive Integrated Moving Average (ARIMA) model were applied to the time series data and yielded a best-fitting result of (2,1,1) for estimating GDP between 2022-2031. The study concludes that GDP is expected to increase with a positive growth rate of around 3.22%, and recommends government agencies to monitor GDP, strengthen existing policies, and adopt necessary economic reforms to support growth. Additionally, the private sector is encouraged to enhance production tools to achieve economic growth that benefits …
Neutrosophic Adaptive Lsb And Deep Learning Hybrid Framework For Ecg Signal Classification, Abdallah Rezk, Ahmed S. Sakr, H. M. Abdulkader
Neutrosophic Adaptive Lsb And Deep Learning Hybrid Framework For Ecg Signal Classification, Abdallah Rezk, Ahmed S. Sakr, H. M. Abdulkader
Applied Mathematics & Information Sciences
This paper proposes a novel hybrid framework for ECG signal classification and privacy preservation. The framework includes two phases: the first phase uses LSTM+CNN with attention gate for ECG classification, while the second phase utilizes adaptive least signal bit with neutrosophic for hiding important data during transmission. The proposed framework converts data into three sets of degrees (true, false, and intermediate) using neutrosophic and passes them to an embedding layer. In the sender part, the framework hides important data in ECG signal as true and false degrees, using the intermediate set as a shared dynamic key between sender and receiver. …
Compatibility Of Clique Clustering Algorithm With Dimensionality Reduction, Ug ̆Ur Madran, Duygu Soyog ̆Lu
Compatibility Of Clique Clustering Algorithm With Dimensionality Reduction, Ug ̆Ur Madran, Duygu Soyog ̆Lu
Applied Mathematics & Information Sciences
In our previous work, we introduced a clustering algorithm based on clique formation. Cliques, the obtained clusters, are constructed by choosing the most dense complete subgraphs by using similarity values between instances. The clique algorithm successfully reduces the number of instances in a data set without substantially changing the accuracy rate. In this current work, we focused on reducing the number of features. For this purpose, the effect of the clique clustering algorithm on dimensionality reduction has been analyzed. We propose a novel algorithm for support vector machine classification by combining these two techniques and applying different strategies by differentiating …
The Influence Of Supply Chain Management Strategies On Organizational Performance In Hospitality Industry, Omar Jawabreh, Abdullah Mahfoud Baadhem, Basel J. A. Ali, Anas Ahmad Bani Atta, Anis Ali, Fahmi Fadhl Al- Hosaini
The Influence Of Supply Chain Management Strategies On Organizational Performance In Hospitality Industry, Omar Jawabreh, Abdullah Mahfoud Baadhem, Basel J. A. Ali, Anas Ahmad Bani Atta, Anis Ali, Fahmi Fadhl Al- Hosaini
Applied Mathematics & Information Sciences
The studys primary goal is to analyze the connection between SCM practices and organizational performance, and it also aims to evaluate the moderating role of management type. Quantitative data collected from Jordans hotel and restaurant workers via questionnaire. Structural equation modeling is used to examine the hypothesized relationships. Organizational Performance is positively impacted by effective information sharing. Information Quality (IQ) positively affects Organizational Performance (OP), and Strategic Supplier Partnerships (SSP) play a crucial role. Customer Relationship Management (CRM) had no discernible effect on OP, according to the study. OP is positively impacted by Postponement (POS) techniques. When implemented, postponement increases …
The Effect Of System Quality And User Quality Of Information Technology On Internal Audit Effectiveness In Jordan, And The Moderating Effect Of Management Support, Ahmad Yahiya Ahmad Bani Ahmad (Ayassrah), Anas Ahmad Mahmoud Bani Atta, Hanan Ali Alawawdeh, Nawaf Abdallah Aljundi, Amer Morshed, Saleh Amin Dahbour
The Effect Of System Quality And User Quality Of Information Technology On Internal Audit Effectiveness In Jordan, And The Moderating Effect Of Management Support, Ahmad Yahiya Ahmad Bani Ahmad (Ayassrah), Anas Ahmad Mahmoud Bani Atta, Hanan Ali Alawawdeh, Nawaf Abdallah Aljundi, Amer Morshed, Saleh Amin Dahbour
Applied Mathematics & Information Sciences
The goal of this study is to ascertain the moderating role that management support has in internal audit effectiveness in Jordan, as well as the impact of system quality and user quality of information technology. There were 172 responders in all, and they were split across Jordanian auditors. In the data analysis process, the quantitative analysis test— which consists of the validity test, reliability test, test of conventional assumptions, and hypothesis test—is applied. Information technology system and user quality are independent variables in this study. The dependent variable in this study is internal audit effectiveness, and the moderating variable is …
Optimal Control Analysis Of The Dynamics Of Covid-19 With Application To Ethiopian Data, Temesgen Duresa Keno, Fekadu Mosisa Legesse, Ebisa Olana Bajira
Optimal Control Analysis Of The Dynamics Of Covid-19 With Application To Ethiopian Data, Temesgen Duresa Keno, Fekadu Mosisa Legesse, Ebisa Olana Bajira
Applied Mathematics & Information Sciences
In this paper, we proposed an optimal control of the COVID-19 transmission dynamics. First, we investigated system features such as solution boundedness, positivity, disease-free and endemic equilibrium, and the local and global stability of equilibrium points. Besides, a disease-free equilibrium point is globally asymptotically stable if the basic reproduction number is less than one, and an endemic equilibrium point exists otherwise. Secondly, we have shown the sensitivity analysis of the basic reproduction number. Also the model is then fitted using COVID-19 infected reported in Ethiopia from February 1,2023 to March 2,2023. The values of model parameters are then estimated from …
Nexus Between Intellectual Capital And Financial Performance Sustainability: Evidence From Listed Jordanian Firms, Ali M. Alrabei, Leqaa N. Al-Othman, Thaer A. Abutaber, Mustafa S. Alathamneh, Tareq M. Almomani, Mohammed H. Qeshta
Nexus Between Intellectual Capital And Financial Performance Sustainability: Evidence From Listed Jordanian Firms, Ali M. Alrabei, Leqaa N. Al-Othman, Thaer A. Abutaber, Mustafa S. Alathamneh, Tareq M. Almomani, Mohammed H. Qeshta
Applied Mathematics & Information Sciences
Purpose: The authors observe the effect of exploring the reality of Intellectual Capital (IC) and its impact on the financial performance of Jordanian industrial firms in Amman Stock Exchange. This empirical research explores the effect of intellectual capital on financial performance using data from 36 Jordanian industrial firms listed in Amman Stock Exchange for the period 2016-2020. The Value-Added Intellectual coefficient (VAIC) was adopted to measure the intellectual capital, while the return on assets (ROA), return on equity (ROE), and earnings per share (EPS) were adopted as measures of the companys financial performance. The effect of IC was tested by …
Assessing The Moderating Effect Of Innovation On The Relationship Between Information Technology And Supply Chain Management: An Empirical Examination, Heba Hatamlah, Mahmoud Allahham, Ibrahim A. Abu-Alsondos, Alaa S. Mushtaha, Ghadeer M. Al-Anati, Mustafa Al-Shaikh
Assessing The Moderating Effect Of Innovation On The Relationship Between Information Technology And Supply Chain Management: An Empirical Examination, Heba Hatamlah, Mahmoud Allahham, Ibrahim A. Abu-Alsondos, Alaa S. Mushtaha, Ghadeer M. Al-Anati, Mustafa Al-Shaikh
Applied Mathematics & Information Sciences
This study examines how innovation (INN) influences the relationship between supply chain management and information technology in Jordan. 211 employees of Jordanian industrial enterprises who work in the Operations Department provided information for the study, which examines this subject. The findings indicate a close connection between information technology and supply chain management. Innovation also dramatically modifies the interaction between supply chain management and information technology. Management help may be the subject of future research.
The Role Of Business Intelligence Adoption As A Mediator Of Big Data Analytics In The Management Of Outsourced Reverse Supply Chain Operations, Heba Hatamlah, Mahmoud Allahham, Ibrahim A. Abu-Alsondos, Alaa Al-Junaidi, Ghadeer M. Al-Anati, Mustafa Al-Shaikh
The Role Of Business Intelligence Adoption As A Mediator Of Big Data Analytics In The Management Of Outsourced Reverse Supply Chain Operations, Heba Hatamlah, Mahmoud Allahham, Ibrahim A. Abu-Alsondos, Alaa Al-Junaidi, Ghadeer M. Al-Anati, Mustafa Al-Shaikh
Applied Mathematics & Information Sciences
The fluctuating and disorganized state of todays global markets is the result of several factors. COVID-19 is an illustration. Supply chain managers should re-evaluate their competitive strategy and leverage big data analytics in light of the rising volatility in demand and supply, rivalry among supply chain partners, and the requirement to deliver tailored goods and services (BDA). Supply chain firms require sophisticated BDA processes and procedures to provide useful insights from big data to better decision-making and supply chain operations, as many leaders in the sector have acknowledged the necessity for improving with data" (SCO). This research gives theoretical justification …
The Artificial Intelligence As A Decision-Making Instrument For Modeling And Predicting Small Cities’ Attractiveness: Evidence From Morocco, Sohaib Khalid, Driss Effina, Khaoula Rihab Khalid, Mohamed Salem Chaabane
The Artificial Intelligence As A Decision-Making Instrument For Modeling And Predicting Small Cities’ Attractiveness: Evidence From Morocco, Sohaib Khalid, Driss Effina, Khaoula Rihab Khalid, Mohamed Salem Chaabane
Applied Mathematics & Information Sciences
This study analyzes residential attractiveness in small Moroccan cities using statistical models. Net migration rates are commonly used to assess attractiveness. The study estimated net migration rates for each city and employed a structural econometric model with logistic regression to identify influential variables that affect the net migration rate. These variables were then used in a predictive model with an artificial neural network algorithm. The logistic model revealed insights, highlighting the complexity of residential attractiveness influenced by factors like job supply, accessibility, and housing conditions. The artificial neural network model provided accurate predictions (over 80%), aiding policymakers in decision-making and …
Improving The Performance Of A Series-Parallel System Based On Lindley Distribution, Abdelfattah Mustafa, M. I. Khan, Maher. A. Alraddadi
Improving The Performance Of A Series-Parallel System Based On Lindley Distribution, Abdelfattah Mustafa, M. I. Khan, Maher. A. Alraddadi
Applied Mathematics & Information Sciences
In this article, the performance of a series-parallel system is improved. The system components are assumed to follows independently and identically Lindley distributed with three parameters. The system reliability for the given system will be improved by using reduction method, hot, cold and imperfect duplication method. Some reliability measures are derived. Two types of reliability equivalence factors and gamma fractiles are calculated. A numerical example is introduced to explain the theoretical results.
Quantization Of Fractional Constrained Systems With Wkb Approximation, Ola A. Jarabah
Quantization Of Fractional Constrained Systems With Wkb Approximation, Ola A. Jarabah
Applied Mathematics & Information Sciences
In this paper the constrained systems with two primary first class constraints are studied using fractional Lagrangian, after that we find the fractional Hamiltonian and the corresponding Hamilton Jacobi equation. Using separation of variables technique, we can find the action function S this function helps us to formulate the wave function which describe the behavior of our systems also from the action function S we can find the equations of motion and the corresponding momenta in fractional form. This work is illustrated using one example.
Applications Of The Ara-Residual Power Series Technique To Physical Phenomena, Aliaa Burqan
Applications Of The Ara-Residual Power Series Technique To Physical Phenomena, Aliaa Burqan
Applied Mathematics & Information Sciences
In this paper, a new analytical method called the ARA-Residual power series method (ARA- RPSM) is implemented to solve some fractional physical equations. The methodology of the proposed method based on applying the ARA-transform to the given fractional differential equations, followed by the creation of approximate series solutions using Taylor’s expansion. Then the series solution is transformed using the inverse of the ARA-transform to get the solution in the original space. Accuracy, effectiveness, and validity of the suggested method are demonstrated through the discussion of three attractive applications. The solution obtained using ARA-RPSM demonstrates good agreement when compared to the …
Generalization Of Renyi’S Entropy And Its Application In Source Coding, Ashiq Hussain Bhat, Niyamat Ali Siddiqui, Ismail A Mageed, Shawkat Alkhazaleh, Vidyanand Rabi Das, M. A. K Baig
Generalization Of Renyi’S Entropy And Its Application In Source Coding, Ashiq Hussain Bhat, Niyamat Ali Siddiqui, Ismail A Mageed, Shawkat Alkhazaleh, Vidyanand Rabi Das, M. A. K Baig
Applied Mathematics & Information Sciences
In this paper, we introduce a new generalization of Renyis entropy β(P) and the most important feature of this generalized entropy Rαβ (P) is that it derives most important entropies that are well known and influence information theory and applied mathematics. Some significant properties of Rαβ (P) has been undertaken in this article. In addition, we introduce a new generalized exponentiated mean codeword length Lβα (P) in this article then determine how Rβα (P) and Lβα (P) are related in terms of source coding theorem.