Periodicals of Engineering and Natural Sciences (PEN - International University of Sarajevo)
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    1290 research outputs found

    Text image secret sharing with hiding based on color feature

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    The Secret Sharing is a scheme for sharing data into n pieces using (k, n) threshold method. Secret Sharing becomes an efficient method to ensure secure data transmission. Some visual cryptography techniques don’t guarantee security transmission because the secret information can be retrieved if the hackers obtain the number of shares. This study present a secret sharing method with hiding based on YCbCr color space. The proposed method is based on hiding the secret text file or image into a number of the cover image. The proposed method passes through three main steps: the first is to convert the secret text file or image and all cover images from RGB to YCbCr, the second step is to convert each color band to binary vector, then divide this band in the secret image into four-part, each part is appended with a binary vector of each cover image in variable locations, the third step is converting the color space from YCbCr to  RGB color space and the generated shares, hidden with covers, are ready for transmission over the network. Even if the hackers get a piece of data or even all, they cannot retrieve the whole picture because they do not know where to hide the information. The results of the proposed scheme guarantee sending and receiving data of any length. The proposed method provides more security and reliability when compared with others. It hides an image of size (234x192) pixels with four covers. The MSE result is 3.12 and PSNR is 43.74. The proposed method shows good results, where the correlation between secret and retrieved images is strong ranging from (0.96 to 0.99). In the proposed method the reconstructed image quality is good, where original and reconstructed images Entropy are 7.224, 7.374 respectively

    Investigations of HSC punching shear capacity in flat slabs

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    Slabs punching shear capacity for normal strength concrete (NSC) and high strength concrete has been investigated in this paper. Due to the significance of concrete technology in the construction industry, more attention has been paid to high strength concrete in this paper. Then, detailed comparison is carried to evaluate the outcome by referring to several existing standards. Slabs punching tests have been collected from the reported results in the literature.  Forty-seven tested slab specimens have been grouped from the available published information.  In this work, the collected specimens are studied thoroughly, and a conclusion has been drawn from the preliminary investigation that punching shear failure is a common feature in the forty-seven specimens. The collected concrete slab specimens have diversified cylinder compressive strength ( ) ranged from 14.4 MPa to 119 MPa. However, the application of ( ) in existing codes is restricted to a limit as mention hereafter. American Concrete Institute (ACI-14) limits the practical application of  to 69MPa, while The Australian Concrete Structures Standard (AS-94) limits  to 50 MPa. The recent evolvement in concrete technology has made the production of HSC with  much greater than the aforementioned values affordably reachable. Therefore, the present research attempts to bridge this gap and goes beyond the standards restrictions. This has been achieved by proposing a new design equation for punching shear through applying a regression analysis. The accuracy of the proposed equation and the existing equations have been examined by utilizing statistical analysis [Arithmetical mean ( ), Variation (VAR), Standard Deviation (SD) and Coefficient of Variation (COV)] to the punching shear failure strength values. The proposed method results for , VAR, SD and COV are 1.575, 0.364, 0.1299 and 23.128% respectively, and these are smaller when compared with the other 6 existing code methods

    Entrepreneurial and intrapreneurial intentions: Analyzing the premise of distinct constructs with different determinant

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    This study investigates the entrepreneurial and intrapreneurial intentions of the working-age population in Bosnia and Herzegovina by considering a set of demographic and entrepreneurial background factors. Using a cross-sectional survey design, 782 responses were collected. To test hypotheses, confirmatory factor analysis, Welch\u27s t-test, one-way variance analysis with Brown-Forsythe, Welch\u27s F, and least square difference post hoc tests were used. The results suggest several theoretical and practical implications. First, entrepreneurial and intrapreneurial intentions are statistically different constructs. Second, there were mixed results regarding demographic factors where age is a significant differentiator in entrepreneurial and intrapreneurial intentions, experience and education are partial, while gender is insignificant. Third, concerning entrepreneurial background factors, both entrepreneurial education and family are significant differentiators in entrepreneurial and intrapreneurial intentions. Finally, the study contributes to the current state of knowledge by empirically demonstrating divergence between entrepreneurial and intrapreneurial intentions, extending the comparative research to the working-age population, and providing implications within the context of Bosnia and Herzegovina

    A model to enhance the atrial fibrillations’ risk detection using deep learning

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    Atrial fibrillation (AF) is a complex arrhythmia linked to a variety of common cardiovascular illnesses and conventional cardiovascular risk factors. Although awareness and improved detection of AF have improved over the last decade as the incidence and prevalence of AF has increased, current trends in using machine learning approaches to diagnose AF are still lacking in precision. To determine the true nature of the Electrocardiography (ECG) signal segments, a Convolutional Neural Network (CNN) model was employed to discover hidden information. Fully Connected (FC) layers were then utilized to categorize the ECG data segments as normal or abnormal. The suggested algorithm\u27s findings were compared to state-of-the-art arrhythmia identification algorithms in the literature for the MIT-BIH ECG database. The methodology proved not only to yield high classification performance (98.5%) but also low processing computational advantage where the CNN was the most accurate algorithm used for atrial fibrillation detection hence. To conclude the findings of the research, a model was prepared to test the accuracy of the most common ML algorithms used for AF detection. After comparing the results of the experiment, it was clear that CNN algorithm is the best approach compared to Support Vector Machine (SVM) and K-Nearest Neighbor (KNN)

    The role of the balanced performance model in raising the level of performance in the banking sector Applied research in Al-Rafidain Bank

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    The research aims to shed light on the Balanced Scorecard method and performance measures and to show the impact of applying the Balanced Scorecard to improve the performance of Al-Rafidain Bank on the banking business, as well as showing the extent of employee and customer satisfaction with the services provided by the bank.The research was based on a basic premise that “the use of the four dimensions of the balanced scorecard in evaluating the bank’s performance will help raise the level of performance in Rafidain Bank.” The researcher concluded that the goal of the balanced scorecard is the periodic review of the bank’s performance, in order to identify shortcomings in order to address them and Addressing the shortcoming in the traditional management systems due to their inability to link the various strategies of the institution in order to avoid losses that the bank may be exposed to in the future by applying the balanced scorecard with its four dimensions, which will help the bank to achieve its goals of profit, business continuity and prosperity

    Exploring artistic abilities and creativity perceptions for the enrolled architectural engineering students

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    Architecture is considered one of the most significant human arts aims creativity in design. Therefore, it requires certain artistic skills and certain knowledge and perception from students. Architects are expected to have graphical communication skills enable them to translate their thoughts and ideas to sketching, drawing, model making, coloring, and rendering. The staff of first stage noticed the inadequate level of knowledge and shortfall in students’ abilities throughout years of education. Therefore, this paper aims to explore artistic abilities and creativity perceptions for the enrolled architectural engineering students. The research focuses on the first-grade students in Architectural Engineering Departments of University of Mosul. Mixed approaches were adopted for data collection including two surveys and ten in-depth interviews with the students after one month from their enrollment in university. The survey includes 68 questions serve four main axes, particularly, explores personal characteristics and abilities, traces students’ knowledge, investigates students’ artistic abilities and creativity perceptions, and tackles the role of school in developing artistic abilities and creativity for students. Findings reveal lack of student’s experience in artistic skills including sketching, drawing, or coloring, basic knowing about international or local architecture. This low qualification refers to underestimate art subject and lack of basic knowledge of architecture gained during students’ secondary education

    The effect of dynamic load on tall building

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    In this study, the effectiveness of the structure of a tall building (consisting of nineteen floors) was analysed and investigated by the existence or absence of shear walls (SW) to resist loads of wind and earthquake effect. Note that each floor contains four apartments comes under zone 2 Four different styles of shear walls were used in terms of shape and location. The results were analysed and discussed for each case and for each floor, and comparisons were made between those results in terms of (moments, lateral forces, vertical loads, and torsion moments). There are several techniques for solving structural engineering problems, and one of those distinct techniques is the design optimization techniques method. The most complicated high-rise buildings that use design optimization, which includes each of size and topological optimization, are addressed by considering stability, safety, and responsiveness to various sorts of loadings A project includes wall-frame structural optimization. When this wall and core system was subjected to various loadings, it was tested for displacement, internal stresses, and intensities. The SAP2000 Software has made design improvements to the construction of the reinforced concrete plane frame to minimize the costs to beams and columns of the concrete and steel by Using a computer model called an Artificial Neural Network (ANN). The concept method is in accordance with ACI-318-08 Code. To improve the design optimization, many variables have been used depth, width, and the steel reinforcing area Including both (longitudinal and shear reinforcement). It can be concluded that by putting the shear walls nearest the structure geometric center the best performance of seismically loaded structure can be achieved; the maximum displacement, bending moment horizontal forced, and torsional moments were decreased

    Electrical distribution grid of Kirkuk City: A case study of load flow and short circuit valuation using ETAP

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    The load flow study and short circuit analysis can be considered as the backbone of the electrical power network. This study based on real data collected from 12 substations, each substation contains many feeders provide the electricity network of Kirkuk city (a city in Iraq located at the north of Baghdad). The methodology of this article depended on using the Electrical Transient Analyzer Program (ETAP) software in assessing the performance of Iraqi electrical distribution network (Kirkuk city as a model) by starting modeling and simulation in order to assess the reliability through testing the load flow, and short circuit test. A complete study of load flow assessment of an actual Kirkuk city power distribution network with actual load values is presented (data have been taken from the Directorate of Electricity Distribution of Kirkuk city). The results of modeling the whole city and the detailed reports of this study can give us a comprehensive assessment with the presence of actual loads values, including total demand, PF, transmission line parameters, and the weakness points of the electrical grid

    Estimation of optimal lifting capacity in annulus

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    The optimum drilling of oil and gas wells are achieved by reduce costs and time, which will be accomplished with an optimal hydraulic cleaning program. Drilling fluid characteristics, drilling parameters, and well geometrics are regarded as major categories for achieving an optimal hydraulic program based on depth, penetration rate, and flow rate. This study was used a set of equations that related directly and indirectly to estimate the optimal cleaning efficiency in annulus. The procedure is applied here using actual data from an Iraqi oil field to determine the limitation of all parameters that affect the lifting capacity. Cutting transform was regarded as a major element of the well cleaning program as a result of constraints such as avoiding high surge pressure during lifting pipes, high swab pressure when downloading pipes, and fluid loss during rotation. An increase in annular space indicates a decrease in the capacity of drilling fluid to lift cuttings to the surface and an increase in dynamic shear stress. Also, an increase in cutting size, which has a direct relationship with penetration rate that can be effect for cleaning efficacy in annulus

    Maximum intensity determination of beam waist in BBO optical nonlinear crystal using single harmonic generation

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    Nonlinear optics is a branch of optics that explains the nonlinear response of atoms and molecules to a field of light radiation. There is a difficulty in cutting crystals in shapes commensurate with their optical properties, and thus it was significant to determine the descriptive shape of crystal properties based on its optic properties to be ideal in use. The problem of determining the length of the crystal to give the best output power is still under study and research and is one of the most important topics. In our research, a computational method based on mathematical relationships was used to estimate the length of the BBO crystal of I-type, which gives the best output power, by manipulating the location of the optical light scattering to be in the middle of the crystal. It was found that the best length of a crystal with a width of 3mm and a height of 3mm is 7mm. the comparison of these results with the previous literatures gave a great match, which confirms the correctness of the computations and the reliability of used method

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