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Publication Date

Tue Jan 04 2022

Journal Name

Iraqi Journal Of Science

Volume

58

Issue Number

2C

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Text Compression & Encryption Method Based on RNA and MTF

Data Compression

Encryption

RNA

MTFE

MTFD

private keys

Ekhlas Khalaf

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The sending of information at the present time requires the speed and providing protection for it. So compression of the data is used in order to provide speed and encryption is used in order to provide protection. In this paper a proposed method is presented in order to provide compression and security for the secret information before sending it. The proposed method based on especial keys with MTF transform method to provide compression and based on RNA coding with MTF encoding method to provide security. The proposed method based on multi secret keys. Every key is designed in an especial way. The main reason in designing these keys in special way is to protect these keys from the predication of the unauthorized users.

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Publication Date

Tue Oct 20 2020

Journal Name

Ibn Al-haitham Journal For Pure And Applied Sciences

Estimating of Survival Function under Type One Censoring Sample for Mixture Distribution

New Mixture Distribution (NMD)

Maximum likelihood estimation method (MLEM)

Type- one censored sample data

Hazard function.

Qesma

Iden

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In this article, it is interesting to estimate and derive the three parameters which contain two scales parameters and one shape parameter of a new mixture distribution for the singly type one censored data which is the branch of right censored sample. Then to define some special mathematical and statistical properties for this new mixture distribution which is considered one of the continuous distributions characterized by its flexibility. Next, using maximum likelihood estimator method for singly type one censored data based on the Newton-Raphson matrix procedure to find and estimate values of these three parameter by utilizing the real data taken from the National Center for Research and Treatment of Hematology/University of Mus

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Publication Date

Wed Dec 30 2020

Journal Name

Iraqi Journal Of Science

A Comparison of Different Estimation Methods to Handle Missing Data in Explanatory Variables

Missing data

Simulation

Recurrent Neural Networks

Expectation- Maximization

Multicycle â€“Expectation -Conditional-Maximization

Expectation-Conditional-Maximization-Either

Manal Jabbar

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Missing data is one of the problems that may occur in regression models. This problem is usually handled by deletion mechanism available in statistical software. This method reduces statistical inference values because deletion affects sample size. In this paper, Expectation Maximization algorithm (EM), Multicycle-Expectation-Conditional Maximization algorithm (MC-ECM), Expectation-Conditional Maximization Either (ECME), and Recurrent Neural Networks (RNN) are used to estimate multiple regression models when explanatory variables have some missing values. Experimental dataset were generated using Visual Basic programming language with missing values of explanatory variables according to a missing mechanism at random general pattern and s

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Publication Date

Thu Jul 01 2021

Journal Name

University Of Northampton Pue

Validating a Proposed Data Mining Approach (SLDM) for Motion Wearable Sensors to Detect the Early Signs of Lameness in Sheep

motion wearable sensors

sensor data mining

supervised machine learning

CART ensemble classifier

sheep lameness detection

sheep behaviour classification

Zainab

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Publication Date

Tue Dec 05 2023

Journal Name

Baghdad Science Journal

An improved neurogenetic model for recognition of 3D kinetic data of human extracted from the Vicon Robot system

Breaking-up process

Combining process

Crossover

Feedforward ANN

Mutation

Neuro-Genetic model

Optimization

Recognition

Vicon Robot

3D data

Ivan V.

Safa A.

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These days, it is crucial to discern between different types of human behavior, and artificial intelligence techniques play a big part in that. The characteristics of the feedforward artificial neural network (FANN) algorithm and the genetic algorithm have been combined to create an important working mechanism that aids in this field. The proposed system can be used for essential tasks in life, such as analysis, automation, control, recognition, and other tasks. Crossover and mutation are the two primary mechanisms used by the genetic algorithm in the proposed system to replace the back propagation process in ANN. While the feedforward artificial neural network technique is focused on input processing, this should be based on the proce

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Publication Date

Thu Apr 13 2017

Journal Name

Ibn Al-haitham Journal For Pure And Applied Sciences

Estimate Complete the Survival Function for Real Data of Lung Cancer Patients

Nonparametric Estimation

Lung Cancer Disease

Complete Real Data

Empirical Estimator

Borkowf â€“type estimator

Thompsonâ€“ type estimator

and Nelson-Aalen Estimator

Mean Squares Error

Abbas N.

Ibtehal H.

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In this paper, we estimate the survival function for the patients of lung cancer using different nonparametric estimation methods depending on sample from complete real data which describe the duration of survivor for patients who suffer from the lung cancer based on diagnosis of disease or the enter of patients in a hospital for period of two years (starting with 2012 to the end of 2013). Comparisons between the mentioned estimation methods has been performed using statistical indicator mean squares error, concluding that the survival function for the lung cancer by using shrinkage method is the best

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Publication Date

Tue Dec 31 2019

Journal Name

Journal Of Economics And Administrative Sciences

The investment Decision Making According to the Preliminary Feasibility Study for the 100-Bed Teaching Hospital - Service Sector in Diwaniya Governorate (Case Study)

: preliminary feasibility study

Economic study

Diwaniya Hospital. Duration of data approved in the study: 2006 and 2014-2017.

دراسة جدوى اولية

دراسة اقتصادية

مستشفى الديوانية.

Zinah Muayad

Mohammed Jasim

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The research aims to prepare a preliminary feasibility study that shows the importance of preliminary feasibility study in investment decision making, carrying out of the local demand of service provided in accordance with international standards and statement of investment opportunities available to the private sector in several investment methods. In order to reach the objectives of the study was adopted as a method of partial analysis at the level of economic unity through the study demand, supply, costs, economic and social profitability.

The health sector in Iraq is one of the service sectors facing today a continuous deficiency

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Publication Date

Sat Dec 30 2023

Journal Name

Journal Of Economics And Administrative Sciences

The Cluster Analysis by Using Nonparametric Cubic B-Spline Modeling for Longitudinal Data

البيانات الطولية

نموذج الشرائح B-spline التكعيبية اللامعلمية

التحليل العنقودي

طريقة الاتجاه المتناوب لخوارزمية المضاعف ADMM.

Longitudinal Data

Nonparametric Cubic B-Spline

Cluster Analysis

The Alternating Direction Method for Multiplier Algorithm ADMM.

Noor

Suhail

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Longitudinal data is becoming increasingly common, especially in the medical and economic fields, and various methods have been analyzed and developed to analyze this type of data.

In this research, the focus was on compiling and analyzing this data, as cluster analysis plays an important role in identifying and grouping co-expressed subfiles over time and employing them on the nonparametric smoothing cubic B-spline model, which is characterized by providing continuous first and second derivatives, resulting in a smoother curve with fewer abrupt changes in slope. It is also more flexible and can pick up on more complex patterns and fluctuations in the data.

The longitudinal balanced data profile was compiled into subgroup

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Publication Date

Sat Oct 01 2016

Journal Name

Journal Of Theoretical And Applied Information Technology

Factors affecting global virtual teams’ performance in software projects

Today the trend is to perform software development work via distributed geographical area among team

individual or even as an organization. However

due to the global market and international presence of many companies

there is a need to implement a global virtual teams. The global virtual team members are gradually engaged in globalized business environments across space

time and organizational boundaries via information and communication technologies. A global virtual team relies on communication

collaboration

and information exchange are the most important criteria in global virtual teams’ operations. The purpose of this paper is to answer two research questions. The first research question is to identify the factors affecting global virtual teams’ performance. A systematic literature review was conducted to answer the first research question. The second research question is on what the rank of the factor affecting the global virtual teams’ performance according to their level of effect on global virtual teams’ performance. Online survey was conducted within 103 developers and IT managers from eight IT companies to answer the second research question. The Statistical Package for Social Science (SPSS 22) was used to analyze the collected data. In this study

we investigated factors that affect global virtual teams’ performance

factors considered include cultural differences

language problems

time-zone differences

team size

technical problems

lack of trust

lack of sufficient training

and ICT problems. Also the findings indicated that lack of sufficient training is the highest level of effect on global virtual teams’ performance. On the other hand

Ali Yahya Gheni

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