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Role of System Strategic Learning Smart In Sustainability Success of Managing Network e-Business
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Purpose: Determining and identifying the relationships of smart strategic education systems and their potential effects on sustainable success in managing clouding electronic business networks according to green, economic and environmental logic based on vigilance and awareness of the strategic mind.

Design: Designing a hypothetical model that reveals the role and investigating audit and cloud electronic governance according to a philosophy that highlights smart strategic learning processes, identifying its assumptions in cloud spaces, choosing its tools, what it costs to devise expert minds, and strategic intelligence.

Methodology: Theoretical dilemma of the diagnosis of the knowledge for smart strategic learning systems and sustainable success in managing cloud business networks. It was derived from the fields of strategic learning and electronic business, both thoroughly and deeply. There was a smart, selective review of the contributions of authors in both fields. It was supported by a group of contemporary works that questioned intellectual capital. A strategist, and scientist who has been subject to reading and analysis.

The Approach: focusing on investing strategic learning processes that are effective for change with a global horizon to re-invent the human resource minds and achieve added value in competitive electronic cloud environments. It focuses on the essence of the learning process, the principles, supportive processes, and changes in the basic directions of its systems, tools, and applications, to create a focused cloud strategy, implementation, application, and adaptation to a cloud environment. The entrance included a set of rules drawn from the experiences, sayings, and dreams of expert institutions and leading minded consultants, cognition, thinking, intelligence and a will of power, it is an analytical documentary introduction to a hypothetical, integrated model of the idea, analysis, design, philosophy, and application.

Type of Research: The research has a qualitative approach that has adopted rooted theoretical mechanisms with ideas, concepts, and content for a hypothetical model. It was subjected to a logical arrangement of building, interpretation, and expectation with learning and sustainability lenses in the light of cloud business spaces.

Determinants: Relying on the mental capabilities of cognition, thinking, and governing trends of smart strategic learning systems and the sustainability of the success of the awareness of cloud business networks. The validity of the content and reliability of the proven references provide accuracy, honesty, truthfulness, reading, and extrapolation.

Practical impacts: Opening thinking of smart strategic learning systems to build strategic leadership capabilities. Functionalizing sustainability rules mechanisms to manage cloud business networks. Which are research, study, tools for measuring and evaluating the improvement in strategic performance.

Social Impacts: Achieving qualitative changes in commitment and strategic patience, and a strategic partnership, the proof of which is cooperation in investing the two fields in the language of intangible resources. The research contributes to the consolidation of its social structure with values, ethics, will, texture, and culture.

Authenticity: Raising the argumentative idea of ​​ logic and philosophy with rational lenses, experience, and alignment in order to integrate mechanisms and rules for sustainability and cognitive deep learning in cloud spaces.

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Publication Date
Mon Jun 19 2023
Journal Name
Journal Of Engineering
Data Classification using Quantum Neural Network
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In this paper, integrated quantum neural network (QNN), which is a class of feedforward

neural networks (FFNN’s), is performed through emerging quantum computing (QC) with artificial neural network(ANN) classifier. It is used in data classification technique, and here iris flower data is used as a classification signals. For this purpose independent component analysis (ICA) is used as a feature extraction technique after normalization of these signals, the architecture of (QNN’s) has inherently built in fuzzy, hidden units of these networks (QNN’s) to develop quantized representations of sample information provided by the training data set in various graded levels of certainty. Experimental results presented here show that

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Publication Date
Wed Feb 29 2012
Journal Name
Al-khwarizmi Engineering Journal
WLAN Integrated with GPRS Network Securely
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In this paper a WLAN network that accesses the Internet through a GPRS network was implemented and tested. The proposed network is managed by the Linux based server. Because of the limited facilities of GPRS such as dynamic IP addressing besides to its limited bandwidth a number of techniques are implemented to overcome these limitations.

      Dynamic Host Configuration Protocol (DHCP) server was added to provide a single central control for all TCP/IP resources. Squid Proxy  was added to provide caching of the redundant accessed Web content to reduce the Internet bandwidth usage and speeding up the client’s download time. Network Address Translation (NAT) service was configured to share one IP ad

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Publication Date
Mon Jun 01 2009
Journal Name
2009 Etp International Conference On Future Computer And Communication
Ultra Wideband Cognitive Network Objective Issues
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Due to that the Ultra Wide Band (UWB) technology has some attractive features like robustness to multipath fading, high data rate, low cost and low power consumption, it is widely use to implement cognitive radio network. Intuitively, one of the most important tasks required for cognitive network is the spectrum sensing. A framework for implementing spectrum sensing for UWB-Cognitive Network will be presented in this paper. Since the information about primary licensed users are known to the cognitive radios then the best spectrum sensing scheme for UWB-cognitive network is the matched filter detection scheme. Simulation results verified and demonstrated the using of matched filter spectrum sensing in cognitive radio network with UWB and pro

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Publication Date
Sun Dec 04 2011
Journal Name
Baghdad Science Journal
Modifying Hebbian Network for Text Cipher
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The objective of this work is to design and implement a cryptography system that enables the sender to send message through any channel (even if this channel is insecure) and the receiver to decrypt the received message without allowing any intruder to break the system and extracting the secret information. This work modernize the feedforward neural network, so the secret message will be encrypted by unsupervised neural network method to get the cipher text that can be decrypted using the same network to get the original text. The security of any cipher system depends on the security of the related keys (that are used by the encryption and the decryption processes) and their corresponding lengths. In this work, the key is the final weights

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Publication Date
Sun Jun 06 2010
Journal Name
Baghdad Science Journal
Using Neural Network with Speaker Applications
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In Automatic Speech Recognition (ASR) the non-linear data projection provided by a one hidden layer Multilayer Perceptron (MLP), trained to recognize phonemes, and has previous experiments to provide feature enhancement substantially increased ASR performance, especially in noise. Previous attempts to apply an analogous approach to speaker identification have not succeeded in improving performance, except by combining MLP processed features with other features. We present test results for the TIMIT database which show that the advantage of MLP preprocessing for open set speaker identification increases with the number of speakers used to train the MLP and that improved identification is obtained as this number increases beyond sixty.

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Publication Date
Sat Dec 02 2017
Journal Name
Al-khwarizmi Engineering Journal
Human Face Recognition Using Wavelet Network
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            This paper presents a study of wavelet self-organizing maps (WSOM) for face recognition. The WSOM is a feed forward network that estimates optimized wavelet based for the discrete wavelet transform (DWT) on the basis of the distribution of the input data, where wavelet basis transforms are used as activation function.

 

 

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Publication Date
Fri Feb 08 2019
Journal Name
Journal Of The College Of Education For Women
The War Importance of Basra in the Islamic Conquests in the Rightly Guided Caliphs Period
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There are many reasons made Basra a good defense, first of all was the
establishment of the famous Arab tribes, like Bakir bn. Wail and Tamim. Besides there were
A lot the armed forces. In addition to that the strategic place of Basra. All these reasons
played a good part when the war broke out.
The Arabic tribes played a good part in the war to engaged Persians, and prevent
them from sending any helps to their armies against the Kufain who were fighting Persians in
the North of Iraq. While the Basrain army aiming to Conquer the south of Iraq.
Basra become the first strategic place for the Islamic movement of the conquers.
Latter on Kufa and Bahrain were the second and third.
The Muslims guranted the pupils of

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Publication Date
Sun Feb 28 2021
Journal Name
Journal Of Economics And Administrative Sciences
The effect of innovation and modernization as an approach to strategic change in the efficiency of organizational performance Field research in the Oil Projects Company (SCOP(
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The purpose of this research is to improve the organizational performance of the Oil Projects Company by adopting an approach to strategic change، and finding appropriate solutions to the problems facing the company. The researcher adopted in designing his research by conducting a survey of previous literature that dealt with approaches to strategic change، as the results of the survey showed that most researchers agree on the approach of renewal and modernization، Which formed a starting point for the researcher to identify the extent of the company's management interest in renewal and modernization to improve its level of performance، and the quality of the procedures followed on the ground that is related to

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Publication Date
Thu Nov 17 2022
Journal Name
Journal Of Discrete Mathematical Sciences And Cryptography
Minimum spanning tree application in Covid-19 network structure analysis in the countries of the Middle East
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Coronavirus disease (Covid-19) has threatened human life, so it has become necessary to study this disease from many aspects. This study aims to identify the nature of the effect of interdependence between these countries and the impact of each other on each other by designating these countries as heads for the proposed graph and measuring the distance between them using the ultrametric spanning tree. In this paper, a network of countries in the Middle East is described using the tools of graph theory.

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Publication Date
Mon Apr 03 2023
Journal Name
Journal Of Educational And Psychological Researches
Fitting Scoring Rubrics for Electronic Portfolio to Partial Credit Model According to the Number of Assumed Dimensions
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Abstract

 

The current research aims to reveal the extent to which all scoring rubrics data for the electronic work file conform to the partial estimation model according to the number of assumed dimensions. The study sample consisted of (356) female students. The study concluded that the list with the one-dimensional assumption is more appropriate than the multi-dimensional assumption, The current research recommends preparing unified correction rules for the different methods of performance evaluation in the basic courses. It also suggests the importance of conducting studies aimed at examining the appropriateness of different evaluation methods for models of response theory to the

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