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Currently, there are many approaches for image transformations that are developed to cover the new technology in the huge amount of data treatment. In this paper, a study on Curvelet transformation coefficients was performed based on the aerial image to apply segmentation. This paper applies a lot of modifications on cut off frequencies on the filters, which is used to decompose the image on curvelet transformation. Two approaches are proposed and tested to look for the best segmentation result; the first one is based on designing filters manually, while the second evaluates the filter coefficients depending on the selected shape of the filters. The first technique gives acceptable segmentation and the second reaches the optimal result. One of the most important results is that the cut of frequency has a high effect on the segmentation; in addition, choosing filter parameters depended on the coefficients dimension of the curvelet transformation. Finally, the results show that the first approach underperformed the second one.

This paper provides an efficient algorithm to generate three dimensional objects from simple uncomplicated 2D environment, lead to reduce processor effort, limit of using complex mathematical operations. Most of the previous researches used the idea of ​​drawing by vanishing point to generate 3D objects from 2D environment, But the algorithm designed in this paper provides an idea of ​​how to draw three-dimensional shapes from two-dimensional drawings when applying Cohen Sutherland Line clipping algorithm, so that a basic two-dimensional shape is inserted from a set of points connected with each other must be within vision borders with a vanishing point outside of vision that is connected with all points of basic shape to consist a group of lines with partial intersections. So that any point has specific limited vision border which represents one of its coordinates of depth vertex, finally 3d object is generated when all clipping processes are completed to obtain other coordinates for all points.

Data transmission, security and authenticity, nowadays is considered the major source of problems. To face these problems a suitable solution have to be forwarded . Steganography is forwarded one of the solutions as a technique among many. This paper includes proposal for using a new technique called (Quick Respond Codes) QR Codes . QR Codes technique is mainly used to convert and store messages since it has higher and large storage capacity, in addition to that we used, in this paper , the STR (Short Tandem Repeats) DNA sequence. STR DNA is very important because each person has its own DNA which means that security and authentication ) reliable ( are very high. The proposed method is to convert the hidden data (STR DNA sequence) to QR code that mean the security is at maximum. Then, by using the MD5 (Message Digest 5) Algorithm, the result data is converted to QR code and the data within the data areas are stored in an unusually large format to make retrieval difficult. Finally, STR DNA sequences were applied in different lengths and converted to QR code. By this method , the QR code is applied in different applications and it was very fast (3-4 second). To apply this technique and to reduce the cost, we use a webcam to get back the private (confidential) data from the QR code. The data were retrieved completely without any error because QR code is reliable and authentic. From the above result we suggest to use QR Code for indentification of the of the individual (ID).

In this paper, we investigated a new improved Conjugate Gradient (CG) algorithm of a Three-Term type (TTCG) based on Dai and Liao procedure to improve the CG algorithm of (Hamoda, Rivaie, and Mamat / HRM). The new CG-algorithm satisfies both the conjugacy condition and the sufficient descent condition. The step-size of this TTCG-algorithm would be computed by accelerating the Wolfe-Powell line search technique. The proposed new TTCG algorithms have demonstrated their global affinity in certain specific circumstances given in this paper.

In previous years, database applications were built in the form of a file system, but many disadvantages were found after that, such as: data replication , inconsistency while storing, difficulty in accessing data and need to write a new program to execute each new task in addition to isolating the data within multiple file formats ..... etc. All the above problems were solved by using database systems. This paper is an applied to demonstrate the effective role of the tax information system to establish and operate knowledge database as a knowledge management requirement by: the conceptualization of the income tax, knowledge management system and the development of the retirement information system. In this paper, the ACCESS database was created and linked with the Visual Basic language to calculate income tax of the employees. Where the information of employee is entered (such as the employee's name, number and social status as well as the nominal salary). The system has saved and modified information of employees , printing a report on one employee or more, as well as knowing the amount of tax that got from employees .

Information and communication technologies are witnessing tremendous developments in today's world. Which allowed many institutions and departments to adopt ICT in their administrative work. This research discusses the designing of an Electronic Archiving System Based on the Computer Network by using (Visual C #.NET) language and the development of a central database by using (SQL Server 2008). The Ninewa Health bureau has been chosen as a model for completion of the study. To address the problem of the traditional reality experienced by the institutions and departments of the state in Iraq, based on the limited use of information technology, while electronic archiving systems that have become the basic method in the institutions of developed countries. This system works on converting paper documents and attachments into an electronic format, and saving them in the database within indexed records according to the document number or book. The system also provides an integrated tool for the managing mail, and workflow, as well as the preparation of reports, and great flexibility in the management of system database (backup, update of administrative units as per the applicable structure of the bureau concerned), managing user accounts and granting them access permission. The study has showed that the electronic archiving system has a positive impact in the fields of administrative works, through facilitating the process of archiving and saving of documents and official correspondence book to provide office spaces consumed in the storage of paper files. As well as reduce the time and effort spent in the search for files. and the ease of exchanging documents through a local network by the adoption of the (client / server) model to connect the sections of the bureau with each other for integrated with the electronic archiving system. The study aims to strengthen the role of archiving to launch the e-government project by improving and simplifying official transactions procedures. Last but not least the research dealt with a theoretical framework on the archiving (concept, components, types), as well as the practical aspect of the analysis and design of the system and explain how it works. Finally, this research succeed in designing the system, and the system has been tested on real data represented by models of books and official documents in the bureau of Health Nineveh..

The process of improvement software quality began from early stages of software engineering development. It uses multiple quality metrics which are very important in software development. To calculate the standards quality of in software testing has been adopted. The software testing is focusing on the Software defect. In this paper is proposed new methods which combine the particle swarm optimization (PSO) to handle the best features Extraction with back-propagation networks to testing and evaluation of the data set . The paper depended database for NASA standards data. The result and experiment method improved quality performance for all classification methods used in the research"Combining Particle Swarm Optimization based Feature Selection and Bagging for Software Defect Prediction ".

In the field of image processing, there is an urgent need to adopt image transformations. In this paper, work is done on image coefficients after decomposing them through Curvelet transformations obtained through the fan filter. The research deals with two stages: the first is to study the effect of the Fan filter by adopting angles (8, 16, 32) on the image (Lina.jpg) of size (256*256) after being analyzed using Curvelet transformations at scales (2,3,4) through comparing a set of measurements (Contrast, Energy, Correlation, MSE, and PSNR) for both the original and reconstructed images. It can be found that Contrast and Energy criteria remain the same for the original and reconstructed images according to different levels of analysis or directions, so the value of the Correlation measure is 1. The value of the MSE criterion is very small and is almost not affected by the change of the number of angles in one scale, but it is slightly affected by increasing the scale analysis. What was mentioned above applies to the PSNR criterion as well. As for the second stage of the research, which included decomposing the image to its coefficients, canceling the effect of one of these coefficients, and then reconstructing it. The results proved that the two criteria (Contrast and Energy) were not affected with falling Correlation criteria from 1 to values ​​ranging from (0.9987_0.9997) depending on the number of scales used in the Curvelet analysis and the number of angles used in Fan filter (8,16,32). The results also showed an increase in the MSE value when dropping some frequencies, and a corresponding decrease in the PSNR value. Whereas, the decrease in the MSE scale was demonstrated at a specific scale with the increase in the number of angles in the Fan filter, in contrast to the PSNR scale.

In this paper, we studied and applied a modern numerical method, which is combining Sumudu transform with Adomian decomposition Method to obtain approximate solutions of the nonlinear the Coupled Drinfeld– Sokolov–Wilson (DSW) system. Positive and negative values of the variable x and various values of the variable t were taken with the initial conditions of the system as well as the values of the parameters . The efficiency of the method was verified, as the results obtained were compared with the accurate solution of the system. We noticed that the results are very accurate and the effectiveness of the method was confirmed.

This paper investigated a modified integral transform method used to solve heat equation in cylindrical coordinate, this modification method has been obtained based on integral transform (x-coordinate), we expand integral transform (x-coordinate) to integral transform (x,y,z,t-coordiantes) and convert it to cylindrical coordinate denoted by integral transform (r,θ,z,t-coordinates). Finally we used integral transform to solve heat equation in cylindrical coordinate.

This paper presents some games via 𝔾-g-open sets by using the concept of grill topological space which is Ɠ(Ŧi, 𝔾), where 𝑖={0, 1, 2}. By many figures and proposition, the relationships between these types of games have been studied with explaining some examples.

The research deals with the intelligent irrigation system using the Internet of Things (IoT) via Low cost and low power system on chip microcontrollers including integrated Wi-Fi with dual-mode Bluetooth ESP32. The objectives of this project are to investigate the concept of an intelligent irrigation system using the Internet of Things, to develop a system using the aforementioned controller that processes data from the soil sensor that automatically irrigates the plant and analyzes the soil status of the plants. In real-time via the smartphone connected to the Internet. The study scope focuses on cropping and horticulture. Sensors had to be installed for each plant as it was necessary to know the condition of the soil. A water pump must also be added to each plant to save water. This project requires the Blynk application which is a platform with IOS and Android apps to control Arduino, Raspberry Pi and the likes over the Internet. It’s a digital dashboard where you can build a graphic interface for your project by simply dragging and dropping widgets. Software on smartphone and hardware implementation which can detect environment condition using (DHT22: Temperature and Humidity sensor) sensor and soil moisture sensor. The results of this paper are based on the experiments performed.

Classification is widely and largely used in data analysis, and pattern recognition. The data analysis aims to discover similarities between them and group them based on similarity into multiple classes. Artificial intelligence techniques are characterized by their great ability to classify objects and classify images. In this research, some artificial intelligence algorithms, represented by swarm optimization algorithms, were used to detect and classify plant diseases to healthy and unhealthy through images of different leaves of plants. Where plants are considered one of the most important organisms on this planet because of their important and fundamental role in the continuation of life and in achieving environmental balance, as well as in the economic side in many countries, and other benefits of high importance. These plants are apt to many different diseases. As a result of the technological development that the world witnessed in various areas of life, it was necessary to make use of it in the field of plant disease diagnosis, as many artificial intelligence techniques were employed in the discovery and diagnosis of plant diseases. In this paper, a new method is proposed to classify and distinguish a group of eight different plants to healthy and unhealthy based on the leaf images of these plants They are apples, cherries, grapes, peaches, peppers, potatoes, strawberries, and tomatoes using a hybrid optimization algorithm. In the first stage, the plant leaf images were collected and pre-processed to remove noise and improve contrast. In the second stage, the features were extracted based on the statistical feature extraction method, while in the third stage, the particle swarm (PSO) and chicken swarm optimization(CSO) algorithms were used to diagnose and classify plant diseases. Then these two algorithms were combined to produce a proposed hybrid algorithm called (PSO-CSO) hybrid method. The results obtained from these three algorithms were compared and the proposed method (PSO-CSO) obtained the best results compared to the two methods. Where the proposed method obtained in the first and second tests a diagnostic rate of (96.9%) and (98.18%), respectively.

In this paper, we determine sufficient conditions, distortion properties and radii of starlikeness and convexity for functions The hypergeometric meromorphic functions have certain formula in the punctured unit disk which contains in new subclass.

The n-Hosoya polynomial of a connected graph G of order t is defined by: Hn (G;x) = ∑ Cn (G;x) xk, where, Cn(G,k) is the number of pairs (v,S), in which |S| = n -1, 3 ≤ n ≤ t, v ∈ V(G) , S ⊆ V (G) , such that dn(v,S) = k , for each 0 ≤ k ≤ δn. In this paper, we find the n-Hosoya polynomial of the square of a path and of the square of a cycle. Also, the n-diameter and n-Wiener index of each of the two graphsare determined

In this paper, the Banach contraction method (BCM) was hybridized with the base of the trapezoid (TR) to solve non-linear partial differential equations. The results obtained from (BCM) were improved by (TR). The results obtained from (BCM -TR) proved the efficiency of this method compared to the default method (BCM). This was done by calculating the mean0square0error (MSE) and estimating the absolute0maximum0error (MAE).

In this paper, we studied a flow of fluid in a pipe under the effect of electromagnetic field in a polar coordinate, be done build a mathematical model which represented by system of two dimensional non-linear partial differential equations and we solved it by using Alternating Directions Implicit method (ADI) which is one of the finite differences method, and from the numerical solution indicated the behavior of temperature distribution inside the pipe, be done explication the influence of Rayleigh number and Prandtl number as well as the influence of Eckert number upon the behavior of temperature distribution are also done through the energy equation in polar coordinate, we arrived to steady state from unsteady state, we find the behavior of fluid flow inside the pipe and also we studied the influence of Hartmann number upon the behavior of fluid flow in pipe and all this done through the motion equation in polar coordinate.

The aim of this paper is to find polynomials related to Schultz, and modified Schultz indices of vertex identification chain and ring for hexagonal rings (6 – cycles). Also to find index and average index of all of them.

The important and common applications of process capability indices (PCI’s) is the process capability ratio and the process capability index , and the use of these measures in practical applications is based on the assumption that the process is under statistical control and that the outputs of that process follow the normal distribution. In practice, however, there are many cases in which the outputs of the process are not follow normal distribution, in such cases, calculating PCI’s will lead to misleading results. In this paper, the non-normal production process capability was evaluated. The evaluation process was conducted using four methods: The first method involved the use of Box-Cox power transformation to normal distribution of data and then calculating indicators of the capability process by traditional methods. The second method is by using the weighted variance method, and the third method is by using the Clements’ method based on the percentiles calculation of data, and the fourth method is based on the use of the Darling-Anderson goodness of fit test to accommodate some of the probability distributions of the original data, this test shows that the log-normal distribution is the most appropriate distribution for the data The results showed that although the process is stable and under statistical control, it is not capable based on the value of the process capability index that did not exceed (65%), as the percentage defect units, which is outside the specifications, is large and located between (3.6%) and (13.4%). The results also showed that there is a convergence in the results of the PCI’s calculated by all methods, and that the Clements’ method is the best method as it gives the highest values ​​for the PCI’s. The research recommended studying and calculating other PCI’s like, , , and CMA(τ,v). One of the recommendations for future research and studies is to do a theoretical study to compare the mentioned methods and choose the best ones based on some statistical criteria.

This research paper includes designing and implementing of an Electronic system for managing theses of College of Computer Science and Mathematics, University of Mosul, using replication, C # language and MS SQL Server 2008 databases to be a stable work basis that can be relied upon in the departments’ work as it facilitates the higher administrative bodies in the departments and the deanship Obtaining the required results quickly and accurately, which facilitates and contributes to making the right decisions at the appropriate time and required with the ease of preparing special reports for each student, lecturer and thesis and printing them which it will help the departments head and the scientific committee to complete them if requested, as well as provide various statistics, and to improve administrative efficiency for thesis, the problem of losing thesis data and preserving it from human and natural disasters has been overcome by applying the principle of replication.

In this paper, we define ii-open set in bitopological space as follows: Let ( , , ) be a bitopological space, a subset A of is said to be ( – ii- open set ) if there exist U,V ≠ and U,V such that: A=int1(U) or A=int2 (V) A or A We study some characterizations and properties of this class. Also, we explain the relation between ii- open sets and open sets, i-open sets and α-open sets in bitopological space. Furthermore, we define ii- continuous mapping on bitopological spaces with some properties.

In this paper, we study zero-divisor graph of the ring Zpmqr and give some properties of this graph. Also, we find the chromatic number, Hosoya polynomial and Wiener index of this graph.

Cabrera-Mohammed proved that the imbedding of a norm ideal on Hilbert space in algebra of quotients with bounded evaluation is continuous with other properties. In this paper we improve this result by using complex Banach space instated of Hilbert space.

Dates are a great food that meets many human needs, and the government should encourage and intensify efforts to support the expansion of palm cultivation and development and focus on its production in our country as a means of food security in the future. In addition, palm trees have an important economic role in improving the country's economy. In this paper, a sharp decline in the quality of production will be highlighted. So, the aim of the study is to know the most important types of palm trees that affect the production of tigers for the year 2019 if the study includes 11 governorates, and the multiple linear regression method has been applied in selecting the most important types affecting the production.. and the types of palm trees did not appear Halawi and Khattawi and Khadari any effect on Dates production in the aforementioned year, although these types are considered to be one of the desirable first-class varieties in the Iraqi market, and for export in particular, in a manner that supports the country's economy.

Let R be a commutative ring with identity. We consider ΓB(R) an annihilator graph of the commutative ring R. In this paper, we find Hosoya polynomial, Wiener index, Coloring, and Planar annihilator graph of Zn denote ΓB(Zn) , with n= pm or n=pmq, where p, q are distinct prime numbers and m is an integer with m ≥ 1 .

The process of separating signal from a mixture of signals represents an essential task for many applications including sound signal processing and speech processing systems as well as medical signal processing. In this paper, a review of sound source separation problem has been presented, as well as the methods used to extract features from the audio signal, also, we define the Blind source separation problem and comparing between some of the methods used to solve the problem of source separation.

Due to the increase of development in modern technology which entered in most fields of life including sustainable agriculture; most studies revealed that most lesions result from over irrigation which causes fungi in plant and soil salinity. Recently; some very important terms emerged and changed most agricultural concepts such as the sustainable agriculture, green cities and smart irrigation systems. Most of these systems improved the quality of production and reduced lesions. In this paper a smart irrigation system was designed depending on Field Capacity F.C value, Wilting Point W.P value. In addition to the ranges of moisture that are measured in the field which are important in decision making of irrigation and selecting the best values to rely on such as threshold value in designing for the sake of maintaining moisture in the soil permanently. The best field moisture value was recorded when designing was %24 at threshold value in a clay soil field. Finally; the best types of microcontrollers ESP8266 & ESP-32S and moisture sensors, which are used to upload the data to Adafruit server. Also, the fast and light Message Queuing Telemetry Transport (MQTT) protocol, was used to transfer the ranges of moisture through the system and cloud computing.

Nowadays, the field of Internet of Things (IoT) has become a new trend and one of the most attractive areas of research. It has a wide range of applications; starting from smart devices to developing smart cities. The main issue in this kind of applications is the limitation in network resources (e.g., energy, memory, connectivity, etc.). Most of the works in the literature deal with this issue in a traditional way. For instance, developing routing protocols that find the optimal path for data forwarding. This paper looks to this issue from a different angle. In this work, we aim at testing different mobility patterns and then investigate their impact of the consumption of network resources under particular distributions and data routing protocols. The aspect we aim to investigate and measure is the amount of data exchanged, which in turn affects the power and the memory consumption of a network. We also measure two more aspects; performance stability, and data coverage area. The results show that mobility models play a significant role in the overall network performance.

Data stream clustering refers to the process of grouping continuously arriving new data chunks into continuously changing groups to enable dynamic analysis of segmentation patterns. However, the main attention of research on clustering methods till now has been concerned with alteration of the methods updated for static datasets and changes of the available modified methods. Such methods presented only one type of final output clusters, i.e. convex or non-convex shape clusters. This paper presents a novel two-phase parallel hybrid clustering (HPPD) algorithm that identify convex and non-convex groups in online stage and mixed groups in offline stage from data stream. In this work, we first receive the data stream and apply pre-processing step to identify convex and non-convex clusters. Secondly, apply modified EINCKM to present online output convex clusters and modified EDDS to present online output non-convex clusters in parallel scheme. Thirdly, apply adaptive merging strategy in offline stage to give last composed output groups. The method is assessed on a synthetic dataset. The output results of the experiments have authenticate the activeness and effectiveness of the method.

In this paper, has been proposed Algorithm for standard JPEG2000 part one for image compression. The proposed Algorithm was executed by using MATLAB7.11 environment, applied these algorithm on the gray and color images for type of the images natural, medical, Graphics images and remote sensing. Dependence on the Peak Signal-to-Noise Ratio (PSNR) for comparing the result of the proposed Algorithm by using the Daubechies filters 5/3 tap filter and 9/7 tap filter Biothogonal , Another comparison is held concerning the obtained results of the algorithm of ModJPEG and Color-SPECK. Proved the processing results Efficiency performance of proposed Algorithm.

The different types of white blood cells equips us an important data for diagnosing and identifying of many diseases. The automation of this task can save time and avoid errors in the identification process. In this paper, we explore whether using shape features of nucleus is sufficient to classify white blood cells or not. According to this, an automatic system is implemented that is able to identify and analyze White Blood Cells (WBCs) into five categories (Basophil, Eosinophil, Lymphocyte, Monocyte, and Neutrophil). Four steps are required for such a system; the first step represents the segmentation of the cell images and the second step involves the scanning of each segmented image to prepare its dataset. Extracting the shapes and textures from scanned image are performed in the third step. Finally, different machine learning algorithms such as (K* classifier, Additive Regression, Bagging, Input Mapped Classifier, or Decision Table) is separately applied to the extracted (shapes and textures) to obtain the results. Each algorithm results are compared to select the best one according to different criteria’s.

In this paper, we investigated of a new self-scaling by use quasi-Newton method and conjugate gradient method. The new algorithm satisfies a quasi-newton condition and mutually conjugate, and practically proved its efficiency when compared with the well-known algorithms in this domain, by depending on efficiency measure, number of function, number of iteration, and number of constrained, NOF, NOI and NOC.

An ideal I of a ring R is said to be right (left) Pure if for every , there is such that . A ring R is said to be right (left) MP-ring, if every maximal right (left) ideal of R is a left (right) pure. In this paper have been studied some new properties of MP-rings, there connections with strongly regular rings. Some of the main result of the present work are as follows: 1- Let R be aright MP-ring, r(a) is a W-ideal for all then a- Every essential ideal is a direct summand. b- R is strongly regular ring. 2- Let R be aright MP-ring. If R is right almost abelian left NBF ring, then R is strongly regular.

Bank loans play a crucial role in the development of banks investment business. Nowadays, there are many risk-related issues associated with bank loans. With the advent of computerization systems, banks have become able to register borrowers' data according their criteria. In fact, there is a tremendous amount of borrowers’ data, which makes the process of load management a challenging task. Many studies have utilized data mining algorithms for the purpose of loans classification in terms of repayment or when the loans are not based on customers’ financial history. This kind of algorithms can help banks in making grant decisions for their customers. In this paper, the performance of machine learning algorithms has been compared for the purpose of classifying bank loan risks using the standard criteria and then choosing (Multilayer Perceptron) as it has given best accuracy compared to RandomForest, BayesNet, NaiveBayes and DTJ48 algorithms.

The restricted detour distance D*(u,v) between two vertices u and v of a connected graph G is the length of a longest u - v path P in G such that = P. The main goal of this paper is to obtain the restricted detour polynomial of the theta graph. Moreover, the restricted detour index of the theta graph will also be obtained.

In this paper, we used the homotopy analysis method to ordinary differential equations of type boundary value problems with a parameter representing turning points."To show the high accuracy of the solution results, we compare the numerical results applying the standard homotopy analysis method with the integral equation and the numerical solution of the Simpson and Trapezoidal rules."Also, we give the estimated order of convergence (local) and the global estimated order of convergence along the interval.

Integrating mathematics in architectural design and construction helped in generating various design solutions. Thus, aesthetical performance had developed with the involving of advanced mathematics fields and computational software. The main intention of this paper is to study the importance of mathematics in aesthetical architecture performance. Consequently, the research methodology carries out an analysis of different case studies that offered a better perception about the degree of mathematics effectiveness on the aesthetical performance in architecture. The research will investigate to what extent mathematics forms in architecture had actually a great effect on aesthetical architecture performance.

In this paper, the effect of magnetic field on blood flow in stenoted arteries was studied, stokes equations in polar coordinates were used to describe such flow. All flow characteristics were found under the influence of the magnetic field and how this stenosis affects flow.

An ideal K of a ring R is called right (left) generalized pure (GP -ideal) if for every a ∈ K, there exists m ∈ Z+, and b ∈ K such that am = am b ( am = b am) . A ring R is called MLGP-ring if every right maximal ideal is left GP-ideal. In this paper have been studied some new properties of MLGP-rings and the relation between this rings and strongly π-regular rings some of the main result of the present work are as follows: 1- Let R be a local ,MLGP and SXM ring. Then: (a) J (R) = 0. (b) If R is NJ-ring. Then r(am) is a direct sum and for all ∈ R, m ∈ Z+. 2- Let R be a local, SXM and NJ-ring . Then R is strongly π-regular if and only if R i LGP.

In this paper we give a geometrical construction of a ( 56, 2)-blocking set in PG( 2, 19) and We obtain a new (325,18)- arc and a new linear code and apply the Grismer rule so that we prove it an optimal or non-optimal code, giving some examples of field 19 arcs Theorem (2.1).

In this paper, we are using enhancing feedback control on a new continuous 4D autonomous hyper chaotic system proposed by Sadiq A. Mehdi and A. Hayder, Qasim [Analysis of a New Hyperchaotic System with six cross-product nonlinearities terms, 2017], this system has three critical points employs ten terms include six quadratic cross-product nonlinearity terms, We notice that when we apply any linear control method that relies on a single unit control added to the system, the system behavior in this case cannot control it, so we applied enhancing linear feedback control at origin and we noticed that a necessary condition for suppression is getting positive feedback coefficient. Theoretical analysis and numerical simulation check the validity of the results obtained.

In this paper we derive Bessel equation of complex order (n + i), after that generalized recurrence relations from Bessel equation of order (n) to Bessel equation of complex order (n + i) and will satisfy that. We given illustrates example of different cases .

Steganography is the science/art of hiding information in a way that must not draw attention to the message hidden in the transmitted media, if a suspicion is raised then there is no meaning to the purpose of steganography. Then appeared its counterpart, Steganalysis, which aims to suspect and analyze the transmitted media to decide wither it contain an embedded data or not which we present in a blind Steganalysis way. One-Class Classification (OCC) machine learning algorithms aim to build classification models depending on positive class only when the negative class is not available or poorly sampled. Here in this paper we depend on a one-class support vector machines (OCSVM) which has been trained on only one class of images that is clean images class, so that the trained classifier can classify new reviews to their correct class i.e. clean or stego. Training an OCC turned to be hard work and required long execution time since classifier parameters tuning, data separation and model evaluation needed to be done manually in a brute force way. A powerful programming language (Python) with the powerful machine learning library (Scikit-Learn) gave a promising classification results in deciding whether an input image is clean or stego image.

Nowadays, data from different real-time data streams are coming in. The classical relational database systems cannot manage such big data. Big data should be managed in a way that keeps the semantic relations between different concepts. Ontology is a powerful tool that comes from the concept of the semantic web, can formulate data schema as semantically connected objects. Ontology can be shared and reused across different domains and sites. In this paper, an ontology that captures the main concepts and their relationships in Mosul university is proposed. The main steps for OMU (ontology for Mosul University) development are showen using protégé ontology editor. Also, several queries are implemented to show how we can use inference engine to infer new and implicit knowledge from ontologies. visualization tools are used to visualize OMU ontology.

The purpose of this paper is to prove the existence of 17 new linear [337,3,318]19, [289,3,271]19, [266,3,249]19, [246,3,230]19, [219,3,204]19, [206,3,192]19, [181,3,168]19, [157,3,145]19, [141,3,130]19, [120,3,110]19, [112,3,103]19, [82,3,74]19, [72,3,65]19, [54,3,48]19, [37,3,32]19, [26,3,22]19, [13,3,10]19 codes by geometric structure method in PG(2,19) .

In this paper, we are using enhancing feedback control on a new continuous 4D autonomous hyper chaotic system proposed by Sadiq A. Mehdi and A. Hayder, Qasim [Analysis of a New Hyperchaotic System with six cross-product nonlinearities terms, 2017], this system has three critical points employs ten terms include six quadratic cross-product nonlinearity terms, We notice that when we apply any linear control method that relies on a single unit control added to the system, the system behavior in this case cannot control it, so we applied enhancing linear feedback control at origin and we noticed that a necessary condition for suppression is getting positive feedback coefficient. Theoretical analysis and numerical simulation check the validity of the results obtained.

In this paper, we derived a new parameter by equating the modified QN direction which is suggested by [7] and the standard CG method which satisfied the sufficient descent condition and the global convergence under some assumptions. The numerical experiment of the new algorithm perform better than previous standard algorithm depending on the number of calling the function (NOF) and number of iterations (NOI).

This paper deals with the fuzzy initial value problem and how to solve a linear fuzzy differential equation of first order when the initial condition is a triangle fuzzy number. This problem is then developed to the case when the initial condition is a trapezoidal fuzzy number. The paper includes also the issue of the representation of a system of linear fuzzy differential equations, a more general system of linear fuzzy differential equations is then proposed and the solution of this system is also given. An illustrative examples are given in order to consolidate the raised ideals.

In this paper an architecture has been proposed for the 2-D Discrete Wavelet Transform (DWT) and the Inverse Discrete Wavelet Transform (IDWT) based on the Convolution method of the Daubechies 5/3-tap Biorthogonal filter bank in the Algorithm transformto image processing, and implementation it on the FPGA (Field Programmable Gate Array) using VHDL, for benefiting from implementation advantages of these Hardware and save run-time. The processing results proved speed and Efficiency of the proposed architecture, where the employed number of slices is less. So it result to Frequency higher and less run-time.The type of the FPGA based in this paper is Xilinx XC3S500E Spartan-3E using Xilinx ISE 9.2i.

In this paper many algorithmswereapplied to" zoom –out" the images, like the traditional algorithm (Linear Averaging) algorithm, then this algorithm was developed to a proposed algorithm (Block Averaging) to be the new one in this paper. another algorithm is obtained from another application which is involved as an enhancement smoothing algorithms and will be used as a (zooming-out) scheme, this algorithm is the (Median) algorithm. The obtained results of these algorithms were compared together to sign the better one. The MATLAB language is used to apply the algorithms. .