The research aims to show the relationship between the use of automated accounting systems technology and its impact on enhancing the efficiency and effectiveness of the internal control system in a sample of Bahraini universities in light of the rapid changes in the electronic business environment. Automated accounting and its impact on enhancing the efficiency and effectiveness of the internal control system, and it is concluded through the analytical study of the research sample that there is a percentage (93%) of the total respondents agree and fully agree that the use of automated accounting systems in Bahraini universities contributes significantly to enhancing the efficiency of the internal control system and its effectiveness, and the research recommends that it is necessary to use automated accounting systems of all kinds in the field of accounting information systems, because their use will increase the efficiency and effectiveness of these systems and thus will add value and a competitive advantage to the accounting units in Bahraini universities and will have a clear and direct positive impact on the future of those units and individuals working in them . It also recommends the need to raise the scientific and practical qualification of accountants working in universities. The future accountant should have technical knowledge of using automated accounting systems and be familiar with how to use them in order to employ this knowledge when the accounting units choose and determine the types of information and communication technologies to be used that are commensurate with the nature of work those units. It also recommends that the accounting units should develop accounting information systems by introducing the latest automated accounting programs and training accountants on them, whether these programs were designed specifically for the unit or they are ready-made programs and modifications were made to them in proportion to the nature of the unit’s work, without neglecting the interest in the communication network, because the production of The accounting unit of information without delivering it to the beneficiary parties will negatively affect the entire accounting unit, and make it isolated from its environment. Also, when designing a new automated accounting information system for the accounting unit or making an amendment or development of the existing system in it, the accountant should be a member of the design team This is because the responsibility for designing the concepts lies with him, in addition to the need for the accountant to be a member of the analysis team that takes place before starting the design process, because he is one of the most knowledgeable individuals in the details of work within the unit.
In information security, fingerprint verification is one of the most common recent approaches for verifying human identity through a distinctive pattern. The verification process works by comparing a pair of fingerprint templates and identifying the similarity/matching among them. Several research studies have utilized different techniques for the matching process such as fuzzy vault and image filtering approaches. Yet, these approaches are still suffering from the imprecise articulation of the biometrics’ interesting patterns. The emergence of deep learning architectures such as the Convolutional Neural Network (CNN) has been extensively used for image processing and object detection tasks and showed an outstanding performance compare
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This research aims to removes dyes from waste water by adsorption using banana peels. The conduct experiment done by banana powder and banana gel to compare between them and find out which one is the most efficient in adsorption. Studying the effects different factors on adsorption material and calculate the best removal efficiency to get rid of the methylene blue dye (MB).
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Feature selection (FS) constitutes a series of processes used to decide which relevant features/attributes to include and which irrelevant features to exclude for predictive modeling. It is a crucial task that aids machine learning classifiers in reducing error rates, computation time, overfitting, and improving classification accuracy. It has demonstrated its efficacy in myriads of domains, ranging from its use for text classification (TC), text mining, and image recognition. While there are many traditional FS methods, recent research efforts have been devoted to applying metaheuristic algorithms as FS techniques for the TC task. However, there are few literature reviews concerning TC. Therefore, a comprehensive overview was systematicall
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This article showcases the development and utilization of a side-polished fiber optic sensor that can identify altered refractive index levels within a glucose solution through the investigation of the surface Plasmon resonance (SPR) effect. The aim was to enhance efficiency by means of the placement of a 50 nm-thick layer of gold at the D-shape fiber sensing area. The detector was fabricated by utilizing a silica optical fiber (SOF), which underwent a cladding stripping process that resulted in three distinct lengths, followed by a polishing method to remove a portion of the fiber diameter and produce a cross-sectional D-shape. During experimentation with glucose solution, the side-polished fiber optic sensor revealed an adept detection
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<p>Vehicular ad-hoc networks (VANET) suffer from dynamic network environment and topological instability that caused by high mobility feature and varying vehicles density. Emerging 5G mobile technologies offer new opportunities to design improved VANET architecture for future intelligent transportation system. However, current software defined networking (SDN) based handover schemes face poor handover performance in VANET environment with notable issues in connection establishment and ongoing communication sessions. These poor connectivity and inflexibility challenges appear at high vehicles speed and high data rate services. Therefore, this paper proposes a flexible handover solution for VANET networks by integrating SDN and
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