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Secure And Efficient Deduplication Scheme Based On Ownership Challenge For Mobile Cloud Environment, Sebastian Annie Joice, M. A. Maluk Mohamed
Secure And Efficient Deduplication Scheme Based On Ownership Challenge For Mobile Cloud Environment, Sebastian Annie Joice, M. A. Maluk Mohamed
Applied Mathematics & Information Sciences
Cloud Computing plays a vital job in providing storage, infrastructure, and processing services. The demand for storing data in cloud is increasing day by day due to the large number of users. To protect the data stored in the cloud, data is often stored in an encrypted form. Cloud storage includes a large amount of duplicated data under different encryption schemes by different users. Existing solutions that deal with encrypted deduplication do not support controlled access, ownership revocation and file modification require uploading the entire file in encrypted form. In this paper, a scheme based on Incremental Proxy Re-Encryption (IPRE) …
On Generalized Strongly Convex Functions Involving Bifunction, Muhammad Aslam Noor, Khalida Inayat Noor
On Generalized Strongly Convex Functions Involving Bifunction, Muhammad Aslam Noor, Khalida Inayat Noor
Applied Mathematics & Information Sciences
In this paper, we define and introduce some new concepts of the generalized strongly convex functions and generalized strongly monotone operators with respect to an arbitrary non-negative bifunction. We establish some new relationships among various concepts of generalized strongly convex functions. Results obtained in this paper can be viewed as refinement and improvement of previously known results.
Euclidean Jordan Algebras, Strongly Regular Graphs And Cauchy Schwarz Inequalities, Lu´Is Antonio De Almeida Vieira
Euclidean Jordan Algebras, Strongly Regular Graphs And Cauchy Schwarz Inequalities, Lu´Is Antonio De Almeida Vieira
Applied Mathematics & Information Sciences
Let G be a primitive strongly regular Graph of order n and A its matrix of adjacency and let A be the Euclidean Jordan subalgebra of the Euclidean Jordan algebra of real symmetric matrices of order n equipped with the Jordan product of matrices and with the inner product of two matrices being the usual trace of them, spanned by the identity of order n and the natural powers of A. In this paper we establish some admissibility asymptotic conditions on the parameters and on the spectra of G, and next some admissibility conditions are established recurring to the inequality …
Scheduling And Load Balancing Using Naerr In Cloud Computing Environment, J. Arul Sindiya, R. Pushpalakshmi
Scheduling And Load Balancing Using Naerr In Cloud Computing Environment, J. Arul Sindiya, R. Pushpalakshmi
Applied Mathematics & Information Sciences
Scheduling plays an important role in cloud computing to achieve effective load balancing by migrating tasks to partially utilized Virtual Machines (VMs). This sharing of resources provides effective scheduling in which non preemptive tasks are irretrievable constraints in cloud computing environment. Therefore, these non preemptive tasks should be initially allocated to the most suitable VMs itself. Basically, each jobs entering comprises of several interconnected tasks which may be executed by multiple VMs or different cores of a single VM. Moreover, the jobs are arrived during the server run time at random time intervals with different load conditions. In order to …
An Extended Model Of Penalized Spline With The Addition Of Kernel Functions In Nonparametric Regression Model, Rahmat Hidayat, I. Nyoman Budiantara, Bambang W. Otok, Vita Ratnasari
An Extended Model Of Penalized Spline With The Addition Of Kernel Functions In Nonparametric Regression Model, Rahmat Hidayat, I. Nyoman Budiantara, Bambang W. Otok, Vita Ratnasari
Applied Mathematics & Information Sciences
The decline in the unemployment rate is an indication of the success of economic development in a country, so it needs to be managed to a stability point. The unemployment rate is influenced by various factors (predictor variables). One of the most widely used models if there are many predictor variables is regression model, which is how to know the pattern of functional relationships between one response variable with one or more predictor variables. In this study, a nonparametric regression model is developed by expanding the smoothing Spline model. Based on the results obtained, the model can capture cases of …
Investigation Of Accelerated Aging Effects In Phenolic Ablative Composites, D. S. Manoj Abraham, H. Kanagasabapathy, R. Joselin
Investigation Of Accelerated Aging Effects In Phenolic Ablative Composites, D. S. Manoj Abraham, H. Kanagasabapathy, R. Joselin
Applied Mathematics & Information Sciences
C Phenolic and Si Phenolic are the special composite materials used for ablative thermal protection in solid motor nozzles for aerospace launch vehicles. These materials are highly specialized composite materials made from C / Si fibres and special phenolformaldehyde resins. These materials can withstand very high temperature of 1500C to 3000C in the nozzle of the solid rocket motors by the principle of self sacrificing and protecting the backend hardware to a very low temperature of less than 100C when the actual nozzle temperature is of 3000C. The amount of fibre (C, Si), the matrix material (phenolic resin) and the …
The Narrative Of Renewable Sources Of Energy In Science Fiction Films, Islam Abohela
The Narrative Of Renewable Sources Of Energy In Science Fiction Films, Islam Abohela
Applied Mathematics & Information Sciences
We identify how images of future cities in science fiction films make global information change more widely available to the public. However, it is noticed the continuous representation of the future as deteriorated and declining future. This paper aims to identify how the images of future cities in science fiction films are affected by the current developments in renewable sources of energy and their integration within the city. It can be argued that science fiction films generally lack references to renewable sources of energy. The scarcity of these references to renewable sources of energy in science fiction films can be …
Dual Tree Complex Wavelet Transform-Based Image Security Using Steganography, T. Yuvaraja, R. S. Sabeenian
Dual Tree Complex Wavelet Transform-Based Image Security Using Steganography, T. Yuvaraja, R. S. Sabeenian
Applied Mathematics & Information Sciences
Modern communication media requires high level of protection system for securing the multimedia data from hackers. The most important objective of this manuscript is to develop a simple and efficient methodology for protecting the information from hackers. In this paper, the level of image security is improved by integrating the steganography and cryptography techniques in order to produce the secured image. In this manuscript, secured image is produced by applying Dual Tree Complex Wavelet Transform(DT-CWT). Further, cryptography algorithm is applied on the steganography image if the level of information entropy lies beyond the threshold value. Mean Square Error (MSE),Peak Signal …
Approximate Solutions To Lane-Emden Equation For Stellar Configuration, Fazal Abbas, Petko Kitanov, Shoshanna Longo
Approximate Solutions To Lane-Emden Equation For Stellar Configuration, Fazal Abbas, Petko Kitanov, Shoshanna Longo
Applied Mathematics & Information Sciences
In this paper, we consider the Lane-Emden equation of the first kind which arises in the study of stellar structures. We use multiple algorithms, based on Homotopy Analysis Method (HAM) to find the convergent series solutions to the singular, non-linear, initial value problem. It is found that the radius of convergence for the solutions is affected by three factors: the choice of initial value, the order and type of non-linearity, and the linear operator used. We then compare analytical results to the 20th order series solution, the Pade approximant to the series, and the approximate solution obtained via the Runge-Kutta-Fehlberg …
Solution Of Fractional Sir Epidemic Model Using Residual Power Series Method, Shatha Hasan, Ayat Al-Zoubi, Asad Freihet, Mohammed Al-Smadi, Shaher Momani
Solution Of Fractional Sir Epidemic Model Using Residual Power Series Method, Shatha Hasan, Ayat Al-Zoubi, Asad Freihet, Mohammed Al-Smadi, Shaher Momani
Applied Mathematics & Information Sciences
The SIR model with unknown parameters is an important issue for scientists in the study of epidemiology and medical care for the injured people. In this work, an efficient technique based on the generalized Taylor series, called the residual power series method, is applied to solve the SIR epidemic model of fractional order. The fractional derivative is described in the Caputo sense. The use of the residual power series method enables us to get an analytic solution of the SIR model in the form of a convergent power series in addition to the approximate solution. To show the efficiency of …
On Some Stationary Inar Models With Discrete Laplace Marginals, Ahmed M. Agwa, Emad-Eldin A A Aly, M. M. Gabr
On Some Stationary Inar Models With Discrete Laplace Marginals, Ahmed M. Agwa, Emad-Eldin A A Aly, M. M. Gabr
Applied Mathematics & Information Sciences
We propose and study integer-valued time series models with the discrete Laplace marginal distribution. These models allow for positive and negative values. The model with symmetric discrete Laplace marginal allows for positive and negative autocorrelation. As an illustration, we have applied the proposed models to real-life data sets.
A New Analytical-Approximate Solution For The Viscoelastic Squeezing Flow Between Two Parallel Plates, Abdul-Sattar J. A. Al-Saif, Abeer Majeed Jasim
A New Analytical-Approximate Solution For The Viscoelastic Squeezing Flow Between Two Parallel Plates, Abdul-Sattar J. A. Al-Saif, Abeer Majeed Jasim
Applied Mathematics & Information Sciences
In this paper, a new approach is used to study analytically the axisymmetric fluid squeezed between two parallel plates. This new approach depends mainly on the coefficients of powers series resulting from integrating nth order differential equation with known data. We obtianed an analytical-approximate solution for the squeezing flow between two parallel plates. The steady non-linear governing partial differential equations are converted by using the suitable similarity transformation into ordinary differential equation. In addition, some theorems are introduced to prove the convergence of a new approach theoretically and explain the verifications of these theorems computationally. The results domenstrate this new …
Squeeze Operators In Classical Scenarios, Jorge A. Anaya-Contreras, Arturo Zu´Niga-Segundo, Francisco Soto-Eguibar, V´Ictor Arrizon
Squeeze Operators In Classical Scenarios, Jorge A. Anaya-Contreras, Arturo Zu´Niga-Segundo, Francisco Soto-Eguibar, V´Ictor Arrizon
Applied Mathematics & Information Sciences
We analyse the paraxial field propagation in the realm of classical optics, showing that it can be written as the action of the fractional Fourier transform, followed by the squeeze operator applied to the initial field. Secondly, we show that a wavelet transform may be viewed as the application of a displacement and squeeze operator onto the mother wavelet function.
Bayesian Structural Time-Series Approach To A Long-Term Electricity Demand Forecasting, Paul Mokilane, Pravesh Debba, Venkata S. S. Yadavalli, Caston Sigauke
Bayesian Structural Time-Series Approach To A Long-Term Electricity Demand Forecasting, Paul Mokilane, Pravesh Debba, Venkata S. S. Yadavalli, Caston Sigauke
Applied Mathematics & Information Sciences
The paper presents an application of Bayesian structural time-series model to forecast long-term electricity demand. Accurate trend specification in long-term forecasting is important; otherwise erroneous forecasts could be obtained especially in South Africa where it is difficult to determine if the trend would continue a downward trajectory or would revert to an upward trajectory. Long-term probabilistic electricity demand forecasts in South Africa from 2013 to 2023 are presented in this paper. The findings are; (a) electricity demand in South Africa is less likely to exceed the highest historical hourly demand of 36 826 kW until 2023 (b) South African demand …
Conceptual Cost Modelling For Sustainable Construction Project Planning— A Levenberg–Marquardt Neural Network Approach, P. S. Kumar, S. Gururaj
Conceptual Cost Modelling For Sustainable Construction Project Planning— A Levenberg–Marquardt Neural Network Approach, P. S. Kumar, S. Gururaj
Applied Mathematics & Information Sciences
The main objective of this paper is to develop a systematic neural network model to estimate the conceptual cost for sustainable construction projects. A wide range of influencing factors on micro and macro level has been considered. The proposed engineering approach is pragmatic to model labour and material cost incurred in different stages of construction using the Artificial Neural Network (ANN) technique. The results indicated an acceptable convergence with reasonable generalization capabilities and the results obtained from the neural network model are more accurate and credible. This study contributes to the construction professionals by providing insight for using different ANN …
Secured Wireless Sensor Network Framework To Support Guaranteed Successful Data Transmission, R. J. Kavitha, N. Satheesh
Secured Wireless Sensor Network Framework To Support Guaranteed Successful Data Transmission, R. J. Kavitha, N. Satheesh
Applied Mathematics & Information Sciences
We introduce the protocols to perform the optimal and secured routing in the wireless sensor network to guarantee the successful data transmission. In the proposed research method, the previous drawbacks have been resolved by introducing the Secured Edge Disjoint Routing Protocol (SEDRP). Optimal Edge disjoint routing is done by introducing the various research techniques that can ensure the optimal forwarding of the data packets. Optimal selection of edge disjoint route paths is done by using hybrid genetic PSO algorithm. This research work considers the following Quality of Service (QoS) parameters for the optimal selection of route paths: “energy, bandwidth, processing …
A Partial Grained Attribute-Based Encryption For Secure Data Access In The Cloud Environment, M. P. Revathi, P. D. Sheba Kezia Malarchelvi
A Partial Grained Attribute-Based Encryption For Secure Data Access In The Cloud Environment, M. P. Revathi, P. D. Sheba Kezia Malarchelvi
Applied Mathematics & Information Sciences
A recent fast-developing method for easy access and sharing of medical data is to maintain the patients’ information in the form of Electronic Health Record (EHRs). Nowadays, these EHRs are most frequently outsourced and stockpiled at third parties namely cloud servers. This reduces the burden on health care providers but introduces more safety problems like revealing of health data to unapproved parties due to access, by not only illegitimate users but also unauthorized access by legitimate users. Though illegitimate users can be identified by authentication mechanisms, unauthorized access by authentic users cannot be restricted by such authentication mechanisms. To guarantee …
Group Mosquito Host Seeking Algorithm Based Self Organizing Technique For Genetic Algorithm, S. Ayshwarya Lakshmi, S. A. Sahaaya Arul Mary
Group Mosquito Host Seeking Algorithm Based Self Organizing Technique For Genetic Algorithm, S. Ayshwarya Lakshmi, S. A. Sahaaya Arul Mary
Applied Mathematics & Information Sciences
Genetic algorithms (GAs) are the most important evolutionary computation technique that is used to solve various complex problems that involve a large search space. To have a performance improvement over GA, the concept of Hybrid genetic algorithms that were inspired from the biological behaviour of different living beings was put to use to solve the Non-deterministic Polynomial (NP)complete problems. Hybrid GA can be derived by amalgamating with efficient nature inspired heuristic algorithms like Particle Swarm optimization (PSO), Ant Colony Optimization (ACO), firefly algorithm, cuckoo search, etc.. The grey wolf optimization algorithm has been the recently proposed bio-inspired optimization algorithm that …
Fault Diagnosis Of A Protocol Implementation Specified In A System Of Communicating Finite-State Machines, Qi-Ping Yang, Tae-Hyong Kim
Fault Diagnosis Of A Protocol Implementation Specified In A System Of Communicating Finite-State Machines, Qi-Ping Yang, Tae-Hyong Kim
Applied Mathematics & Information Sciences
Since testing is an important but expensive process in the protocol development, formal specification models like FiniteState Machines (FSMs) are used to automate testing process. This paper focuses on specifications in a system of communicating FSMs (SCFSM) for protocols with multiple components, and explores fault diagnosis of protocol implementations based on such specifications. The target implementation is first examined with test cases generated by our test generation method. For the implementation which turns out to have a fault, we propose a heuristic algorithm to isolate and locate the fault in the specification. We also presents the assumptions and conditions required …
A Novel Analysis Of The Performance Of Cloud Computing Centers Using Non-Markovian Queuing Model, D. Chitra Devi, K. Gokulnath, V. Rhymend Uthariaraj
A Novel Analysis Of The Performance Of Cloud Computing Centers Using Non-Markovian Queuing Model, D. Chitra Devi, K. Gokulnath, V. Rhymend Uthariaraj
Applied Mathematics & Information Sciences
A novel mathematical model is presented to analyse the performance of cloud computing centers using non-Markovian queuing model M/G/c/c+r/PR with priority as a queue discipline.Task arrivals are categorized as higher-priority (Hpriority) task queue and low-priority (Lpriority) task queue.This model allows cloud providers to determine the performance metrics of the task queue such as average number of tasks, probability of congestion, and probability of no waiting time with respect to server and buffer size. Two feasible conditions, namely non-preemptive and preemptive task priorities are discussed in this work. This approach is validated using discrete-event simulator and Maplesoft for the above mentioned …
Analysis Of Cooling Applications For Solar Thermal-Energy-Storage System, C. Reginald Jegathese, K. Kalidasa Murugavel
Analysis Of Cooling Applications For Solar Thermal-Energy-Storage System, C. Reginald Jegathese, K. Kalidasa Murugavel
Applied Mathematics & Information Sciences
This paper presents the experimental setup built to study a Thermal-Energy-Storage System (TESS) based on concrete as packed-bed using air heat-transfer fluid. Thermal energy storage using sensible heat storage materials have gained much interest in the renewable energy storage sector due to its relatively low cost, abundant availability and technical development. The objective of this work is to design, fabricate and test a sensible heat thermal-energy-storage system. This work can be actualized in low-temperature cooling. A use of this work on low-temperature cooling is by utilizing silica gel-water adsorption chiller which can be driven by 55◦C of heated water. In …
Numerical Approximation Of Bounds Of Μ-Values For A Family Of Pascal Matrices, Mutti-Ur Rehman, Zobia Arif
Numerical Approximation Of Bounds Of Μ-Values For A Family Of Pascal Matrices, Mutti-Ur Rehman, Zobia Arif
Applied Mathematics & Information Sciences
In this article, we present numerical approximations to lower bounds of Structured Singular Values (SSV) for a family of Pascal matrices. In mathematics, particularly in matrix theory, Pascal matrix is an infinite matrix containing the binomial coefficients as its elements. The obtained lower bounds of SSV are then compared with the well-known MATLAB routine mussv available in MATLAB Control Toolbox.
Star Edge Coloring Of Subcubic Graphs, Kavita Pradeep, V. Vijayalakshmi
Star Edge Coloring Of Subcubic Graphs, Kavita Pradeep, V. Vijayalakshmi
Applied Mathematics & Information Sciences
A proper edge coloring of a graph G is called star edge coloring if there is no bi-colored path or cycle of length four in G. The minimum number of colors needed to star color the edges of G is called the star chromatic index of G, denoted by χs′(G). In 2013[1], Dvoˇr´ak et. al. proved that for a subcubic graph G, χs′ (G) ≤ 7 and conjectured that it is less than or equal to 6. In this paper, we show that if a subcubic graph G has maximum average degree less than 83 then χs′(G) ≤ 6.
Decomposition Model For Estimating Diffuse Solar Radiation, M. Harhash, W. Dawoud, A. H. Oraby, M. M. Abdel Wahab
Decomposition Model For Estimating Diffuse Solar Radiation, M. Harhash, W. Dawoud, A. H. Oraby, M. M. Abdel Wahab
Applied Mathematics & Information Sciences
In this paper, a regressive model based on the sigmoid function is presented for estimating the diffuse component of surface solar irradiance from the global irradiance. We consider the correlations between global solar radiation and its diffuse component measured on horizontal incident. The regression equation was tested outside the measurement period (2016) with a root mean square error of about 0.1 and a relative mean bias error of −14.6 ± 0.8%. Results show that the sigmoid behaviour provides more reliable estimates for values of diffuse solar irradiance.
Semi-Supervised Multi-Instance Neurologic Adaptive Learning Intrusion Detection System, A. P. Jagadeesan, K. Gnanambal
Semi-Supervised Multi-Instance Neurologic Adaptive Learning Intrusion Detection System, A. P. Jagadeesan, K. Gnanambal
Applied Mathematics & Information Sciences
In the earlier work, Single Instance Single-Label Learning mechanisms are proved faster and converge for better results but the accuracy is the concern in the Intrusion Detection systems (IDS) in large scale data centric networks. Evolution of supervised training mechanisms have favored more accurate decision making, however failed to incorporate the dynamism of new instances which are in early stages and non-overlapping with current training data sets. This paper proposes a cascaded and hybridized mechanism involving Semi-supervised Multi-Instance Neurologic Adaptive Learning (SMI-NAL) mechanism. The objective is to estimate the threshold level of convergence and improve the system accuracy. In addition, …
Neuro-Fuzzy Svd Technique For Image Recognition And Safety In Construction Site, Mohammed Majid M. Al-Khalidy, Osama Yaseen M. Al-Rawi, Manaf Majid Al-Khalidy
Neuro-Fuzzy Svd Technique For Image Recognition And Safety In Construction Site, Mohammed Majid M. Al-Khalidy, Osama Yaseen M. Al-Rawi, Manaf Majid Al-Khalidy
Applied Mathematics & Information Sciences
This paper presents a novel computer vision technique of intelligent recognition of safety in construction sites. The proposed technique relies on a new methodology for Neuro-Fuzzy Singular Value Decomposition (NFSVD). This methodology utilized unmanned safety worker’s wears. Where within a construction site entranced a multi-camera is used and fixed on a special frame inside the security Cabin. Before the workers allowed for entering the construction site, an automatic detecting, and an intelligent matching system has the ability to recognize the worker’s dress shapes and colors through a multi snap image. To improve the success of this methodology, the proposed technique …
Gerber Shiu Function Of A Risk Model With Two Classes Of Claims, Random Incomes And Markov-Modulated System Parameters, Shija G., M. J. Jacob
Gerber Shiu Function Of A Risk Model With Two Classes Of Claims, Random Incomes And Markov-Modulated System Parameters, Shija G., M. J. Jacob
Applied Mathematics & Information Sciences
In this paper we consider the Gerber-Shiu (G-S) discounted penalty function of a risk model with two classes of claims, random income and all system parameters controlled by independent Markov-Modulated (MM) environments. The model is motivated by the flexibility in modeling the two different claim arrival processes, for instance, fatal and nonfatal conditions in health insurance or from the four wheelers and two wheelers in vehicle insurance. Also the states of MM processes describe, for example, the epidemic types in health insurance or weather conditions in vehicle insurance. It is natural to consider that the controlling environment conditions are different …
Generalized Thermoelasticity With Diffusion And Voids Under Rotation, Gravity And Electromagnetic Field In The Context Of Four Theories, S. M. Abo-Dahab
Generalized Thermoelasticity With Diffusion And Voids Under Rotation, Gravity And Electromagnetic Field In The Context Of Four Theories, S. M. Abo-Dahab
Applied Mathematics & Information Sciences
In this paper, we investigated a new mathematical model on effect of the diffusion with voids in generalized thermoelastic half-space with electromagnetic field, gravity field, and rotation. The model is formulated in the context of four thermoelastic theories; Classical (CT), Lord Shulman (LS), Green Lindsay (GL) and Dual-Phase-Lag (DPL) models. The boundary conditions on the surface applied to obtain the enclosed expressions for the displacements, temperature, stresses, concentration of diffusion and volume fraction field in the physical domain using the normal mode method. A comparison will be made for the results obtained in the presence and absence of the new …
An Integrated Framework For The Role Of Managerial Accounting Information System In Business Process Reengineering: An Analytical Field Study, Salah A. Ali, Salah M. Omran
An Integrated Framework For The Role Of Managerial Accounting Information System In Business Process Reengineering: An Analytical Field Study, Salah A. Ali, Salah M. Omran
Applied Mathematics & Information Sciences
We identify the role of Managerial Accounting Information System (MAIS) in providing the necessary information needed for Business Process Re-engineering (BPR). An analytical field study was conducted which comprises the BPR concepts, goals, motives and steps. The field study is conducted through personal interview and questionnaire to test the five hypotheses formulated from the theoretical study. It is shown that there are several factors that push the organizations to conduct the BPR, such as the accelerated developments in production and information technology, severe competition on both domestic and international levels and growth of the customer care concept. The BPR requires …
Earthquake Control Using Geographical Information And Building Damage-Estimation Models, M. Prem Anand, G. S. Thirugnanam, S. Basil Gnanappa
Earthquake Control Using Geographical Information And Building Damage-Estimation Models, M. Prem Anand, G. S. Thirugnanam, S. Basil Gnanappa
Applied Mathematics & Information Sciences
Natural disasters are the consequences that result from natural processes, and they include hurricanes, volcanic eruptions, earthquakes, landslides, floods, other geological processes and human activities. To reduce the effect of such disasters, governments formulate an effective system, i.e. disaster management. The available data from infrastructures, lifeline systems, roads, health clinics etc. helps the management to provide better decision making. In this regard, the role of Geographical Information System (GIS) is vital to collect, stow, analyze, model and present a bulk data quantity. The present case study based on Chennai summarizes several steps to develop a web-based GIS that manages and …