This paper analyzed the asymmetric flat rolling process of square section bars by testing experiments and finite element simulation methods. The impacts of the rate of roll diameter, decrease in altitude, and rotational speeds of the rolls on the width of cross-section and the curl radii at the leaving point of deformation for the brass and aluminum bar materials were investigated. Furthermore, the asymmetric rolling process of square section bars was simulated using ABAQUS commercial software. A great convergence was demonstrated among the findings forecasted by the FEM simulation and the experimental findings. It was found that by increasing the rate of rolling diameter, the curl radius and the width of the bar cross-section at the exit have been increased, and the roll speed has a insignificant impact on the width and the curl radius of the rolled bar.
{"title":"Experimental and numerical analysis of the asymmetric flat rolling process of square section bars","authors":"Ahmed Hasan Ali, H. Haghighat","doi":"10.21533/pen.v11i3.3621","DOIUrl":"https://doi.org/10.21533/pen.v11i3.3621","url":null,"abstract":"This paper analyzed the asymmetric flat rolling process of square section bars by testing experiments and finite element simulation methods. The impacts of the rate of roll diameter, decrease in altitude, and rotational speeds of the rolls on the width of cross-section and the curl radii at the leaving point of deformation for the brass and aluminum bar materials were investigated. Furthermore, the asymmetric rolling process of square section bars was simulated using ABAQUS commercial software. A great convergence was demonstrated among the findings forecasted by the FEM simulation and the experimental findings. It was found that by increasing the rate of rolling diameter, the curl radius and the width of the bar cross-section at the exit have been increased, and the roll speed has a insignificant impact on the width and the curl radius of the rolled bar.","PeriodicalId":37519,"journal":{"name":"Periodicals of Engineering and Natural Sciences","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44574070","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Z. Hamza, Firas Monther Jassim, Hasanain Jalil Neamah Asaedi
This article dealt with estimating and analyzing the reliability function for hybrid systems. The hybrid systems included series-parallel and parallel-series with symmetric components representing the machine's operation times; these times follow a generalized exponential distribution. Furthermore, we suggested employing a hybrid system parallel series in the application part of this research, which includes the operation times of Baghdad's Vegetable Oil factory machines. The results of the reliability function for the factory system indicate that the probability that the factory machines will stop during the first hour is more than 40%. Still, if the hybrid parallel-series system is applied, the probability that the factory operating system will not stop during the second hour becomes 80%.
{"title":"Estimating systems reliability functions for the generalized exponential distribution with application","authors":"Z. Hamza, Firas Monther Jassim, Hasanain Jalil Neamah Asaedi","doi":"10.21533/pen.v11i3.3595","DOIUrl":"https://doi.org/10.21533/pen.v11i3.3595","url":null,"abstract":"This article dealt with estimating and analyzing the reliability function for hybrid systems. The hybrid systems included series-parallel and parallel-series with symmetric components representing the machine's operation times; these times follow a generalized exponential distribution. Furthermore, we suggested employing a hybrid system parallel series in the application part of this research, which includes the operation times of Baghdad's Vegetable Oil factory machines. The results of the reliability function for the factory system indicate that the probability that the factory machines will stop during the first hour is more than 40%. Still, if the hybrid parallel-series system is applied, the probability that the factory operating system will not stop during the second hour becomes 80%.","PeriodicalId":37519,"journal":{"name":"Periodicals of Engineering and Natural Sciences","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47438148","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Within this research, The problem of scheduling jobs on a single machine is the subject of study to minimize the multi-criteria and multi-objective functions. The first problem, minimizing the multi-criteria, which include Total Completion Time, Total Late Work, and Maximum Earliness Time (∑𝐶 𝑗 , ∑𝑉 𝑗 , 𝐸 𝑚𝑎𝑥 ) , and the second problem, minimizing the multi-objective functions ∑𝐶 𝑗 + ∑𝑉 𝑗 + 𝐸 𝑚𝑎𝑥 are the problems at hand in this paper. In this study, a mathematical model is created to address the research problems, and some rules provide efficient (optimal) solutions to these problems. It has also been proven that each optimal solution for ∑𝐶 𝑗 + ∑𝑉 𝑗 + 𝐸 𝑚𝑎𝑥 is an efficient solution to the problem (∑𝐶 𝑗 , ∑𝑉 𝑗 , 𝐸 𝑚𝑎𝑥 ) . Because these problems are NP-hard problems so it is difficult to determine the efficient (optimal) solution set for these problems so some special cases are shown and proven which find some efficient (optimal) solutions suitable for the discussed problem, and highlight the significance of the Dominance Rule (DR), which can be applied to this problem to enhance efficient solutions.
{"title":"Solving the multi-criteria: Total completion time, total late work, and maximum earliness problem","authors":"Nagham Muosa Neamah, B. A. Kalaf","doi":"10.21533/pen.v11i3.3559","DOIUrl":"https://doi.org/10.21533/pen.v11i3.3559","url":null,"abstract":"Within this research, The problem of scheduling jobs on a single machine is the subject of study to minimize the multi-criteria and multi-objective functions. The first problem, minimizing the multi-criteria, which include Total Completion Time, Total Late Work, and Maximum Earliness Time (∑𝐶 𝑗 , ∑𝑉 𝑗 , 𝐸 𝑚𝑎𝑥 ) , and the second problem, minimizing the multi-objective functions ∑𝐶 𝑗 + ∑𝑉 𝑗 + 𝐸 𝑚𝑎𝑥 are the problems at hand in this paper. In this study, a mathematical model is created to address the research problems, and some rules provide efficient (optimal) solutions to these problems. It has also been proven that each optimal solution for ∑𝐶 𝑗 + ∑𝑉 𝑗 + 𝐸 𝑚𝑎𝑥 is an efficient solution to the problem (∑𝐶 𝑗 , ∑𝑉 𝑗 , 𝐸 𝑚𝑎𝑥 ) . Because these problems are NP-hard problems so it is difficult to determine the efficient (optimal) solution set for these problems so some special cases are shown and proven which find some efficient (optimal) solutions suitable for the discussed problem, and highlight the significance of the Dominance Rule (DR), which can be applied to this problem to enhance efficient solutions.","PeriodicalId":37519,"journal":{"name":"Periodicals of Engineering and Natural Sciences","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42355704","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ahmed Abdel Qader Ismail Alnajem, Ahmed L. Khalaf, Zinah S. Jabbar, Jamal Fadhil Tawfeq, Ahmed Dheyaa Radhi, Poh Soon JosephNg
Currently, private universities are making significant efforts to keep up with changing market demands and societal expectations, particularly in an environment that is rapidly evolving such as Baghdad, Iraq. In order to maintain high standards and achieve excellence, they must continuously seek out the most effective practices and strategies for success. Strategic management has been demonstrated to be an efficient tool for enhancing institutional performance, and the university's organizational culture, which is comprised of traditional institutional elements, is recognized as a significant factor in how organizations operate. Through the utilization of strategic thinking as a mediator, this research aims to evaluate and clarify how organizational culture impacts institutional excellence. A simple random sample was employed to gather information from individuals in managerial positions across multiple sections. Structural Equation Modeling (SEM) was employed to explain the variables under examination. The outcomes and analyses reveal a high level of relative proportions for the variables under investigation and indicate an indirect relationship between the independent and dependent variables. This research recommends several important suggestions and proposes additional research avenues for further investigation
{"title":"Examining the mediating role of strategic thinking on organizational performance: A quantitative analysis","authors":"Ahmed Abdel Qader Ismail Alnajem, Ahmed L. Khalaf, Zinah S. Jabbar, Jamal Fadhil Tawfeq, Ahmed Dheyaa Radhi, Poh Soon JosephNg","doi":"10.21533/pen.v11i3.3578","DOIUrl":"https://doi.org/10.21533/pen.v11i3.3578","url":null,"abstract":"Currently, private universities are making significant efforts to keep up with changing market demands and societal expectations, particularly in an environment that is rapidly evolving such as Baghdad, Iraq. In order to maintain high standards and achieve excellence, they must continuously seek out the most effective practices and strategies for success. Strategic management has been demonstrated to be an efficient tool for enhancing institutional performance, and the university's organizational culture, which is comprised of traditional institutional elements, is recognized as a significant factor in how organizations operate. Through the utilization of strategic thinking as a mediator, this research aims to evaluate and clarify how organizational culture impacts institutional excellence. A simple random sample was employed to gather information from individuals in managerial positions across multiple sections. Structural Equation Modeling (SEM) was employed to explain the variables under examination. The outcomes and analyses reveal a high level of relative proportions for the variables under investigation and indicate an indirect relationship between the independent and dependent variables. This research recommends several important suggestions and proposes additional research avenues for further investigation","PeriodicalId":37519,"journal":{"name":"Periodicals of Engineering and Natural Sciences","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45313134","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Noora Jamal Ali, Noor Amer Hamzah, Alaa Majeed Ali, Poh Soon JosephNg, Jamal Fadhil Tawfeq, Ahmed Dheyaa Radhi
The concept and growth of superior individualized healthcare technologies are influenced in significant ways by the rising areas of “Artificial Intelligence (AI) and the Internet of Things (IoT)”. Most people use wearable devices for mHealth, hence there are many potential applications for the “Internet of Medical Things (IoMT)”. Only 5G can provide the necessary support for smart medical devices to perform many different types of demanding computing activities. Today, heart disease was the major mortality on a global scale. For patients who need a greater accurate diagnosis and treatment, the advancement of medical innovation has created new obstacles. Although many studies have focused on diagnosing cardiac disease, the findings are often inaccurate and fail to fulfill patients' expectations of quality of service (QoS). So, this paper introduces a novel “feed-forward Bi-directional long-short term memory (FF-Bi-LSTM) algorithm to predict heart disease more accurately with enhanced QoS in IoMT based on 5G”. Linear discriminant analysis (LDA) and min-max normalization are employed, respectively, for preprocessing and feature extraction. Several measures, including precision, recall, accuracy, and f1-score, are used to the assess effectiveness of the suggested strategy. The proposed method also compared to certain existing techniques. These results show that the suggested strategy outperforms existing strategies in terms of improving QoS.
{"title":"An intelligent approach for enhancing the Quality of Service in IoMT based on 5G","authors":"Noora Jamal Ali, Noor Amer Hamzah, Alaa Majeed Ali, Poh Soon JosephNg, Jamal Fadhil Tawfeq, Ahmed Dheyaa Radhi","doi":"10.21533/pen.v11i3.3576","DOIUrl":"https://doi.org/10.21533/pen.v11i3.3576","url":null,"abstract":"The concept and growth of superior individualized healthcare technologies are influenced in significant ways by the rising areas of “Artificial Intelligence (AI) and the Internet of Things (IoT)”. Most people use wearable devices for mHealth, hence there are many potential applications for the “Internet of Medical Things (IoMT)”. Only 5G can provide the necessary support for smart medical devices to perform many different types of demanding computing activities. Today, heart disease was the major mortality on a global scale. For patients who need a greater accurate diagnosis and treatment, the advancement of medical innovation has created new obstacles. Although many studies have focused on diagnosing cardiac disease, the findings are often inaccurate and fail to fulfill patients' expectations of quality of service (QoS). So, this paper introduces a novel “feed-forward Bi-directional long-short term memory (FF-Bi-LSTM) algorithm to predict heart disease more accurately with enhanced QoS in IoMT based on 5G”. Linear discriminant analysis (LDA) and min-max normalization are employed, respectively, for preprocessing and feature extraction. Several measures, including precision, recall, accuracy, and f1-score, are used to the assess effectiveness of the suggested strategy. The proposed method also compared to certain existing techniques. These results show that the suggested strategy outperforms existing strategies in terms of improving QoS.","PeriodicalId":37519,"journal":{"name":"Periodicals of Engineering and Natural Sciences","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49024683","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Adnan Yousif Dawod, Baqer A Hakim, Ahmed Dheyaa Radhi, Zinah S. Jabbar, Jamal Fadhil Tawfeq, Poh Soon JosephNg
In response to user demand for wearable devices, several WBAN deployments now call for effective communication processes for remote data monitoring in real time. Using sensor networks, intelligent wearable devices have exchanged data that has benefited in the evaluation of possible security hazards. If smart wearables in sensor networks use an excessive amount of power during data transmission, both network lifetime and data transmission performance may suffer. Despite the network's effective data transmission, smart wearable patches include data that has been combined from several sources utilizing common aggregators. Data analysis requires careful network lifespan control throughout the aggregation phase. By using the Nomadic People Optimizer-based Energy-Efficient Routing (NPO-EER) approach, which effectively allows smart wearable patches by minimizing data aggregation time and eliminating routing loops, the network lifetime has been preserved in this research. The obtained findings showed that the NPO method had a great solution. Estimated Aggregation time, Energy consumption, Delay, and throughput have all been shown to be accurate indicators of the system's performance.
{"title":"A novel nomadic people optimizer-based energy-efficient routing for WBAN","authors":"Adnan Yousif Dawod, Baqer A Hakim, Ahmed Dheyaa Radhi, Zinah S. Jabbar, Jamal Fadhil Tawfeq, Poh Soon JosephNg","doi":"10.21533/pen.v11i3.3580","DOIUrl":"https://doi.org/10.21533/pen.v11i3.3580","url":null,"abstract":"In response to user demand for wearable devices, several WBAN deployments now call for effective communication processes for remote data monitoring in real time. Using sensor networks, intelligent wearable devices have exchanged data that has benefited in the evaluation of possible security hazards. If smart wearables in sensor networks use an excessive amount of power during data transmission, both network lifetime and data transmission performance may suffer. Despite the network's effective data transmission, smart wearable patches include data that has been combined from several sources utilizing common aggregators. Data analysis requires careful network lifespan control throughout the aggregation phase. By using the Nomadic People Optimizer-based Energy-Efficient Routing (NPO-EER) approach, which effectively allows smart wearable patches by minimizing data aggregation time and eliminating routing loops, the network lifetime has been preserved in this research. The obtained findings showed that the NPO method had a great solution. Estimated Aggregation time, Energy consumption, Delay, and throughput have all been shown to be accurate indicators of the system's performance.","PeriodicalId":37519,"journal":{"name":"Periodicals of Engineering and Natural Sciences","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46372739","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In manufacturing prostheses such as blow knee (BK) prostheses, the designer needs to make a proper selection of materials to achieve some requirements according to patient uses prior to fabricating the parts of the prosthesis. Some requirements are low cost, lightweight, durable and withstand the loading environment. Different methods have been used to make such selections based on the optimisation of material properties such as statistical, graphical and computer software. The selection of the optimal material for the socket, shank and foot of BK prostheses is thus considered in this work using the multi-criterion decision-making (MCDM) technique. One of the MCDM strategies is TOPSIS, which was used to choose the ideal material and make a recommendation to design BK prosthesis under different conditions. The common materials used for socket, shank and foot are collected from research works as reference data including polymers, composite, metal alloys, and wood. The results show that pineapple fibre-reinforced composite (PFRC) composite provides light and stiff sockets and PFRC composite provides elastic thought sockets. Titanium alloy (Ti-6Al-4V) provides a stiff shank, and stainless steel (SS 304) alloy provides shock resist shank. Hardwood can be used for low-cost foot, and carbon fibre for shock resistance foot.
{"title":"Multi criteria decision making for optimal below knee prosthetic design","authors":"M. A. Sattar, A. Ghazwan","doi":"10.21533/pen.v11i3.3551","DOIUrl":"https://doi.org/10.21533/pen.v11i3.3551","url":null,"abstract":"In manufacturing prostheses such as blow knee (BK) prostheses, the designer needs to make a proper selection of materials to achieve some requirements according to patient uses prior to fabricating the parts of the prosthesis. Some requirements are low cost, lightweight, durable and withstand the loading environment. Different methods have been used to make such selections based on the optimisation of material properties such as statistical, graphical and computer software. The selection of the optimal material for the socket, shank and foot of BK prostheses is thus considered in this work using the multi-criterion decision-making (MCDM) technique. One of the MCDM strategies is TOPSIS, which was used to choose the ideal material and make a recommendation to design BK prosthesis under different conditions. The common materials used for socket, shank and foot are collected from research works as reference data including polymers, composite, metal alloys, and wood. The results show that pineapple fibre-reinforced composite (PFRC) composite provides light and stiff sockets and PFRC composite provides elastic thought sockets. Titanium alloy (Ti-6Al-4V) provides a stiff shank, and stainless steel (SS 304) alloy provides shock resist shank. Hardwood can be used for low-cost foot, and carbon fibre for shock resistance foot.","PeriodicalId":37519,"journal":{"name":"Periodicals of Engineering and Natural Sciences","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47398029","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The research includes a study of analyzing and evaluating the reliability of turbidity removal and the amount of residual chlorine in the water in the Rashidiya water center located in Rashidiya-Baghdad-Iraq according to the permissible criteria for making decisions based on solid scientific foundations. Thus, water treatment centers in general need a reliable evaluation that helps in evaluating the output Water treatment centers according to the standards set for each center. The research aims to evaluate the reliability of the Rashidiya water center using the two-parameter Weibull distribution, where the distribution parameters were estimated using the least squares method using the (Matlab 2022) program. The chi-square test was used for Goodness of Fit at a significant level of 0.05, through the Easy Fit 5.5 professional program. It was found to be distributed according to the Weibull distribution, and descriptive statistics were calculated for each parameter, and it was found that the mean (and median) of the turbidity values (9.379), which is within the permissible limit, The mean (and median) chlorine values are (0.0279), which is also much less than the permissible limit. The efficiency scale was used to remove turbidity. It was found that the average efficiency of turbidity removal is 71.35%, which is a relatively acceptable level. However, it is necessary to increase the turbidity treatment to raise the level of efficiency. It was found through the Weibull distribution analysis that the value of reliability for the removal of turbidity is (0.99), and for the remaining amount of chlorine is (0.99). The research concluded that the Rashidiya water center is reliable during the research period. The research recommends evaluating all water treatment centers in Iraq in general, and in Baghdad in particular, periodically and at certain time periods. The research also recommends using the natural logarithm distribution as it is suitable for evaluation.
该研究包括根据基于坚实科学基础的决策允许标准，分析和评估位于伊拉克巴格达拉希迪亚的拉希迪亚供水中心的除浊可靠性和水中余氯量。因此，水处理中心通常需要一个可靠的评估，以帮助根据为每个中心设定的标准评估水处理中心的产量。该研究旨在使用双参数威布尔分布来评估拉希迪亚水中心的可靠性，其中分布参数是使用（Matlab 2022）程序使用最小二乘法估计的。通过Easy Fit 5.5专业程序，卡方检验用于拟合良好性，显著水平为0.05。结果表明，其分布符合威布尔分布，并对每个参数进行描述性统计，发现浊度值的平均值（和中值）（9.379）在允许范围内，氯的平均值和中值为（0.0279），也远低于允许范围。采用效率标度法去除浊度。结果表明，平均除浊率为71.35%，是一个相对可接受的水平。然而，有必要增加浊度处理以提高效率水平。通过威布尔分布分析发现，除浊的可靠度值为（0.99），余氯的可靠性值为（099）。研究得出结论，拉西迪亚水中心在研究期间是可靠的。该研究建议对伊拉克的所有水处理中心，特别是巴格达的水处理中心进行定期和特定时间段的评估。研究还建议使用自然对数分布，因为它适合评估。
{"title":"Reliability of the Tigris River water treatment center in al-Rashidiyah-Baghdad by using Weibull distribution","authors":"Mohammed Jumaa Samih, Iqbal Mahmoud Alwan","doi":"10.21533/pen.v11i3.3548","DOIUrl":"https://doi.org/10.21533/pen.v11i3.3548","url":null,"abstract":"The research includes a study of analyzing and evaluating the reliability of turbidity removal and the amount of residual chlorine in the water in the Rashidiya water center located in Rashidiya-Baghdad-Iraq according to the permissible criteria for making decisions based on solid scientific foundations. Thus, water treatment centers in general need a reliable evaluation that helps in evaluating the output Water treatment centers according to the standards set for each center. The research aims to evaluate the reliability of the Rashidiya water center using the two-parameter Weibull distribution, where the distribution parameters were estimated using the least squares method using the (Matlab 2022) program. The chi-square test was used for Goodness of Fit at a significant level of 0.05, through the Easy Fit 5.5 professional program. It was found to be distributed according to the Weibull distribution, and descriptive statistics were calculated for each parameter, and it was found that the mean (and median) of the turbidity values (9.379), which is within the permissible limit, The mean (and median) chlorine values are (0.0279), which is also much less than the permissible limit. The efficiency scale was used to remove turbidity. It was found that the average efficiency of turbidity removal is 71.35%, which is a relatively acceptable level. However, it is necessary to increase the turbidity treatment to raise the level of efficiency. It was found through the Weibull distribution analysis that the value of reliability for the removal of turbidity is (0.99), and for the remaining amount of chlorine is (0.99). The research concluded that the Rashidiya water center is reliable during the research period. The research recommends evaluating all water treatment centers in Iraq in general, and in Baghdad in particular, periodically and at certain time periods. The research also recommends using the natural logarithm distribution as it is suitable for evaluation.","PeriodicalId":37519,"journal":{"name":"Periodicals of Engineering and Natural Sciences","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45646148","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This research seeks to present new method of shrinking variables to select some basic variables from large data sets. This new shrinkage estimator is a modification of (Ridge and Adaptive Lasso) shrinkage regression method in the presence of the mixing parameter that was calculated in the Elastic-Net. The Proposed estimator is called (Improved Mixed Shrinkage Estimator (IMSHE)) to handle the problem of multicollinearity. In practice, it is difficult to achieve the required accuracy and efficiency when dealing with a big data set, especially in the case of multicollinearity problem between the explanatory variables. By using Basic shrinkage methods (Lasso, Adaptive Lasso and Elastic Net) and comparing their results with the New shrinkage method (IMSH) was applied to a set of obesity -related data containing (52) variables for a sample of (112) observations. All shrinkage methods have also been compared for efficiency through Mean Square Error (MSE) criterion and Cross Validation Parameter (CVP). The results showed that the best shrinking parameter among the four methods (Lasso, Adaptive Lasso, Elastic Net and IMSH) was for the IMSH shrinkage method, as it corresponds to the lowest (MSE) based on the cross-validation parameter test (CVP). The new proposed method IMSH achieved the optimal shrinking parameter (λ = 0.6932827) according to the (CVP) test, that leads to have minimum value of mean square error (MSE) equal (0.2576002). The results showed when the value of the regularization parameter increases, the value of the shrinkage parameter decreases to become equal to zero, so the ideal number of variables after shrinkage is (p=6)
本研究试图提出一种新的收缩变量的方法，从大数据集中选择一些基本变量。这种新的收缩估计器是对（Ridge and Adaptive Lasso）收缩回归方法的改进，在弹性网中计算混合参数的情况下。所提出的估计器被称为（改进的混合收缩估计器（IMSHE））来处理多重共线性问题。在实践中，处理大数据集时很难达到所需的准确性和效率，尤其是在解释变量之间存在多重共线性问题的情况下。通过使用基本收缩方法（Lasso、Adaptive Lasso和Elastic Net）并将其结果与新收缩方法（IMSH）进行比较，将其应用于一组肥胖相关数据，该数据包含（112）个观察样本的（52）个变量。还通过均方误差（MSE）准则和交叉验证参数（CVP）对所有收缩方法的效率进行了比较。结果表明，在四种方法（Lasso、Adaptive Lasso、Elastic Net和IMSH）中，IMSH收缩方法的收缩参数最好，因为它对应于基于交叉验证参数测试（CVP）的最低MSE。根据（CVP）检验，新提出的方法IMSH获得了最佳收缩参数（λ=0.6932827），从而使均方误差（MSE）的最小值等于（0.2576002）。结果表明，当正则化参数的值增加时，收缩参数的值减小为等于零，因此收缩后的理想变量数为（p=6）
{"title":"A new shrinkage method for higher dimensions regression model to remedy of multicollinearity problem","authors":"Z. Ghareeb, Suhad Ali Shaheed Al-Temimi","doi":"10.21533/pen.v11i3.3550","DOIUrl":"https://doi.org/10.21533/pen.v11i3.3550","url":null,"abstract":"This research seeks to present new method of shrinking variables to select some basic variables from large data sets. This new shrinkage estimator is a modification of (Ridge and Adaptive Lasso) shrinkage regression method in the presence of the mixing parameter that was calculated in the Elastic-Net. The Proposed estimator is called (Improved Mixed Shrinkage Estimator (IMSHE)) to handle the problem of multicollinearity. In practice, it is difficult to achieve the required accuracy and efficiency when dealing with a big data set, especially in the case of multicollinearity problem between the explanatory variables. By using Basic shrinkage methods (Lasso, Adaptive Lasso and Elastic Net) and comparing their results with the New shrinkage method (IMSH) was applied to a set of obesity -related data containing (52) variables for a sample of (112) observations. All shrinkage methods have also been compared for efficiency through Mean Square Error (MSE) criterion and Cross Validation Parameter (CVP). The results showed that the best shrinking parameter among the four methods (Lasso, Adaptive Lasso, Elastic Net and IMSH) was for the IMSH shrinkage method, as it corresponds to the lowest (MSE) based on the cross-validation parameter test (CVP). The new proposed method IMSH achieved the optimal shrinking parameter (λ = 0.6932827) according to the (CVP) test, that leads to have minimum value of mean square error (MSE) equal (0.2576002). The results showed when the value of the regularization parameter increases, the value of the shrinkage parameter decreases to become equal to zero, so the ideal number of variables after shrinkage is (p=6)","PeriodicalId":37519,"journal":{"name":"Periodicals of Engineering and Natural Sciences","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43964459","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Hala Shaker Mehdy, Nariman Jabbar Qasim, Fadya A.Habeeb, Zinah S. Jabbar, Jamal Fadhil Tawfeq, Ahmed Dheyaa Radhi
The enormous growth in demand for WBAN services has resulted in a new set of security challenges. The capabilities of WBAN are developing to meet these needs. The complexity, heterogeneity, and instability of the mobile context make it difficult to complete these duties successfully. A more secure and flexible WBAN setting can be attained using a trust-untrust nodes classification, which is one method to satisfy the security needs of the WBAN. Considering this, we present a novel Deep Learning (DL) approach for classifying WBAN nodes using spatial attention based iterative DBN (SA-IDBN). Z-score normalization is used to remove repetitive entries from the input data. Then, Linear Discriminate Analysis (LDA) is employed to retrieve the features from the normalized data. In terms of accuracy, latency, recall, and f-measure, the suggested method's performance is examined and contrasted with some other current approaches. Regarding the classification of WBAN nodes, the results are more favorable for the suggested method than for the ones already in use.
{"title":"A Deep learning approach for trust-untrust nodes classification problem in WBAN","authors":"Hala Shaker Mehdy, Nariman Jabbar Qasim, Fadya A.Habeeb, Zinah S. Jabbar, Jamal Fadhil Tawfeq, Ahmed Dheyaa Radhi","doi":"10.21533/pen.v11i3.3579","DOIUrl":"https://doi.org/10.21533/pen.v11i3.3579","url":null,"abstract":"The enormous growth in demand for WBAN services has resulted in a new set of security challenges. The capabilities of WBAN are developing to meet these needs. The complexity, heterogeneity, and instability of the mobile context make it difficult to complete these duties successfully. A more secure and flexible WBAN setting can be attained using a trust-untrust nodes classification, which is one method to satisfy the security needs of the WBAN. Considering this, we present a novel Deep Learning (DL) approach for classifying WBAN nodes using spatial attention based iterative DBN (SA-IDBN). Z-score normalization is used to remove repetitive entries from the input data. Then, Linear Discriminate Analysis (LDA) is employed to retrieve the features from the normalized data. In terms of accuracy, latency, recall, and f-measure, the suggested method's performance is examined and contrasted with some other current approaches. Regarding the classification of WBAN nodes, the results are more favorable for the suggested method than for the ones already in use.","PeriodicalId":37519,"journal":{"name":"Periodicals of Engineering and Natural Sciences","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43398470","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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