Shaymaa Abdelghany Mohamed, Mahdisabber Whaib, Marawan Mohammed Hamid, Mohammed Elwi, Wameedh Ghassan Abdul-Hussein
The most used material in construction is concrete. This study aimed to investigate the impact of recycled aggregate on compressive and tensile strength in concrete. To address the issue of accumulating tons of recycled aggregates, a new method was developed using chemical additive fractions to convert these aggregates into valuable products. The overconsumption of materials is a significant problem that leads to route overflow, pollution, and road fragmentation. The mechanical properties of corroded concrete pipes were also examined through a series of tests and the development of an ABAQUS-based 3D finite element model. It was discovered that the inside of the pipe wall was more vulnerable to damage than the outside, with corroded areas experiencing large stresses and strains. As corrosion depth increased, so did maximum principal stress and hoop strain in the affected region. Fear increased rapidly at first (0-10°), then decreased rapidly (10-45°), before gradually decreasing with increasing erosion latitude (45-180°). Additionally, both circumferential strain and maximum principal stress increased rapidly with greater depth of coverage or increasing moving loads.
{"title":"Exploring the structural behavior of recycled aggregates concrete pipe under dynamic loads through experimental and numerical investigation","authors":"Shaymaa Abdelghany Mohamed, Mahdisabber Whaib, Marawan Mohammed Hamid, Mohammed Elwi, Wameedh Ghassan Abdul-Hussein","doi":"10.21533/pen.v11i3.3610","DOIUrl":"https://doi.org/10.21533/pen.v11i3.3610","url":null,"abstract":"The most used material in construction is concrete. This study aimed to investigate the impact of recycled aggregate on compressive and tensile strength in concrete. To address the issue of accumulating tons of recycled aggregates, a new method was developed using chemical additive fractions to convert these aggregates into valuable products. The overconsumption of materials is a significant problem that leads to route overflow, pollution, and road fragmentation. The mechanical properties of corroded concrete pipes were also examined through a series of tests and the development of an ABAQUS-based 3D finite element model. It was discovered that the inside of the pipe wall was more vulnerable to damage than the outside, with corroded areas experiencing large stresses and strains. As corrosion depth increased, so did maximum principal stress and hoop strain in the affected region. Fear increased rapidly at first (0-10°), then decreased rapidly (10-45°), before gradually decreasing with increasing erosion latitude (45-180°). Additionally, both circumferential strain and maximum principal stress increased rapidly with greater depth of coverage or increasing moving loads.","PeriodicalId":19824,"journal":{"name":"Periodicals of Engineering and Natural Sciences (PEN)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135429505","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}
Adil M. Salman, Haider Rasheed Abdulshaheed, Zinah S. Jabbar, Ahmed Dheyaa Radhi, Poh Soon JosephNg
When evaluating an Internet of Things (IoT) platform, it is crucial to consider the quality of service (QoS) as a key criterion. With critical devices relying on IoT technology for both personal and business use, ensuring its security is paramount. However, the vast amount of data generated by IoT devices makes it challenging to manage QoS using conventional techniques, particularly when attempting to extract valuable characteristics from the data. To address this issue, we propose a dynamic-progressive deep reinforcement learning (DPDRL) technique to enhance QoS in IoT. Our approach involves collecting and preprocessing data samples before storing them in the IoT cloud and monitoring user access. We evaluate our framework using metrics such as packet loss, throughput, processing delay, and overall system data rate. Our results show that our developed framework achieved a maximum throughput of 94%, indicating its effectiveness in improving QoS. We believe that our deep learning optimization approach can be further utilized in the future to enhance QoS in IoT platforms.
{"title":"Enhancing quality of service in IoT through deep learning techniques","authors":"Adil M. Salman, Haider Rasheed Abdulshaheed, Zinah S. Jabbar, Ahmed Dheyaa Radhi, Poh Soon JosephNg","doi":"10.21533/pen.v11i3.3577","DOIUrl":"https://doi.org/10.21533/pen.v11i3.3577","url":null,"abstract":"When evaluating an Internet of Things (IoT) platform, it is crucial to consider the quality of service (QoS) as a key criterion. With critical devices relying on IoT technology for both personal and business use, ensuring its security is paramount. However, the vast amount of data generated by IoT devices makes it challenging to manage QoS using conventional techniques, particularly when attempting to extract valuable characteristics from the data. To address this issue, we propose a dynamic-progressive deep reinforcement learning (DPDRL) technique to enhance QoS in IoT. Our approach involves collecting and preprocessing data samples before storing them in the IoT cloud and monitoring user access. We evaluate our framework using metrics such as packet loss, throughput, processing delay, and overall system data rate. Our results show that our developed framework achieved a maximum throughput of 94%, indicating its effectiveness in improving QoS. We believe that our deep learning optimization approach can be further utilized in the future to enhance QoS in IoT platforms.","PeriodicalId":19824,"journal":{"name":"Periodicals of Engineering and Natural Sciences (PEN)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135673510","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}
Arly Dario Rincón-Quintero, Jessica Gissela Maradey Lázaro, J. C. Romero Garnica, D. O. Segura Caballero, Camilo Leonardo Sandoval Rodríguez
Covid-19 is considered the most infectious virus today. Likewise, the struggle to mitigate the effects of the variants, the flexibility in some measures such as the use of face masks, the advancement of vaccination and prevention and self-care campaigns continue to be topics of research and of global interest. The world health authorities published that the disease was characterized by presenting the same symptoms as the flu along with a complex picture where in the most serious cases they lead to difficulty breathing due to pneumonia, sepsis and septic shock that can lead to death. Some systems implemented for taking body temperature such as thermographic cameras, digital thermometers, for the description of symptoms in the people they analyze at the time of carrying out the epidemiological fences are not enough, since they handle low precision, are taken in isolation, individually or randomly and is not suitable for characterizing interest groups. Then, establishing risk levels by measuring non-invasive variables can be considered inputs into prevention campaigns and a low-cost way of monitoring the community. This article shows the design of a non-invasive embedded device for the measurement of 5 priority variables for the detection of the risk of covid-19 infection. The proposed device was duly calibrated and synchronized for the acquisition of data from 594 people in the city of Bucaramanga, Colombia, who authorize the monitoring of the symptoms. The people must be in a state of rest to be able to acquire the data with great accuracy, in this way the data is entered into the system in charge of doing the monitoring analysis. Additionally, the implementation of an interface that allows the visualization of results, laying the foundations for the development of automatic learning techniques or models for the risk classification in future work.
{"title":"Development of a monitoring system for COVID-19 monitoring in early stages","authors":"Arly Dario Rincón-Quintero, Jessica Gissela Maradey Lázaro, J. C. Romero Garnica, D. O. Segura Caballero, Camilo Leonardo Sandoval Rodríguez","doi":"10.21533/pen.v11i2.3171","DOIUrl":"https://doi.org/10.21533/pen.v11i2.3171","url":null,"abstract":"Covid-19 is considered the most infectious virus today. Likewise, the struggle to mitigate the effects of the variants, the flexibility in some measures such as the use of face masks, the advancement of vaccination and prevention and self-care campaigns continue to be topics of research and of global interest. The world health authorities published that the disease was characterized by presenting the same symptoms as the flu along with a complex picture where in the most serious cases they lead to difficulty breathing due to pneumonia, sepsis and septic shock that can lead to death. Some systems implemented for taking body temperature such as thermographic cameras, digital thermometers, for the description of symptoms in the people they analyze at the time of carrying out the epidemiological fences are not enough, since they handle low precision, are taken in isolation, individually or randomly and is not suitable for characterizing interest groups. Then, establishing risk levels by measuring non-invasive variables can be considered inputs into prevention campaigns and a low-cost way of monitoring the community. This article shows the design of a non-invasive embedded device for the measurement of 5 priority variables for the detection of the risk of covid-19 infection. The proposed device was duly calibrated and synchronized for the acquisition of data from 594 people in the city of Bucaramanga, Colombia, who authorize the monitoring of the symptoms. The people must be in a state of rest to be able to acquire the data with great accuracy, in this way the data is entered into the system in charge of doing the monitoring analysis. Additionally, the implementation of an interface that allows the visualization of results, laying the foundations for the development of automatic learning techniques or models for the risk classification in future work.","PeriodicalId":19824,"journal":{"name":"Periodicals of Engineering and Natural Sciences (PEN)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135080204","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 Hussein Ahmed, Ahmed Abdullah Amanah, Suadad Ali Abed Alabbas
The research aim to explore influential role of strategic ambidexterity through its two contradictory dimensions (exploration and exploitation) as two strategies that contemporary organizations can adopt in light of achieving contemporary initiatives required by current environment, especially tourism sector in Iraq after the paralysis it suffered as a result of spread of Corona virus and impact of repercussions of this pandemic on various Both industrial and service sectors, as researchers targeted tourism companies in Karbala governorate, which are characterized by attracting tourists to various visitors for religious tourism and in return, it is a port for their roaming to other cities and countries through tourism companies that need to keep pace with surrounding environment of developments and changes based on adoption of the two strategies of ambidexterity in Facing those changes and responding to them, as well as their readiness for rapid developments in this sector, as the questionnaire was adopted as a main tool for collecting data on this study by presenting it to the executive directors of those companies with (40) respondents, and after conducting necessary statistical tests using SPSS program, it was found that there are a strong positive and significant correlation between study variables, as well as a significant effect For strategic ambidexterity across its two dimensions in achieving and promoting contemporary initiatives at corporate level, the study community
{"title":"Strategic ambidexterity and its role in achieving contemporary initiatives: an exploratory study of opinions of a sample of managers of travel and tourism companies in holy governorate of Kerbala-Iraq","authors":"Ahmed Hussein Ahmed, Ahmed Abdullah Amanah, Suadad Ali Abed Alabbas","doi":"10.21533/pen.v11i2.3451","DOIUrl":"https://doi.org/10.21533/pen.v11i2.3451","url":null,"abstract":"The research aim to explore influential role of strategic ambidexterity through its two contradictory dimensions (exploration and exploitation) as two strategies that contemporary organizations can adopt in light of achieving contemporary initiatives required by current environment, especially tourism sector in Iraq after the paralysis it suffered as a result of spread of Corona virus and impact of repercussions of this pandemic on various Both industrial and service sectors, as researchers targeted tourism companies in Karbala governorate, which are characterized by attracting tourists to various visitors for religious tourism and in return, it is a port for their roaming to other cities and countries through tourism companies that need to keep pace with surrounding environment of developments and changes based on adoption of the two strategies of ambidexterity in Facing those changes and responding to them, as well as their readiness for rapid developments in this sector, as the questionnaire was adopted as a main tool for collecting data on this study by presenting it to the executive directors of those companies with (40) respondents, and after conducting necessary statistical tests using SPSS program, it was found that there are a strong positive and significant correlation between study variables, as well as a significant effect For strategic ambidexterity across its two dimensions in achieving and promoting contemporary initiatives at corporate level, the study community","PeriodicalId":19824,"journal":{"name":"Periodicals of Engineering and Natural Sciences (PEN)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135340124","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}
Muna Hadi Saleh, Ahmed Nafea Ayesh, P. Sathyaprakash
This work bases on encouraging a generous and conceivable estimation for modified an algorithm for vehicle travel times on a highway from the eliminated traffic information using set aside camera image groupings. The strategy for the assessment of vehicle travel times relies upon the distinctive verification of traffic state. The particular vehicle velocities are gotten from acknowledged vehicle positions in two persistent images by working out the distance covered all through elapsed past time doing mollification between the removed traffic flow data and cultivating a plan to unequivocally predict vehicle travel times. Erbil road data base is used to recognize road locales around road segments which are projected into the commended camera images and later distinguished vehicles are assigned to the looking at route segment so instantaneous and current velocities are calculated. All data were effectively processed and visualized using both MATLAB and Python programming language and its libraries.
{"title":"Development prediction algorithm of vehicle travel time based traffic data","authors":"Muna Hadi Saleh, Ahmed Nafea Ayesh, P. Sathyaprakash","doi":"10.21533/pen.v11i1.3447","DOIUrl":"https://doi.org/10.21533/pen.v11i1.3447","url":null,"abstract":"This work bases on encouraging a generous and conceivable estimation for modified an algorithm for vehicle travel times on a highway from the eliminated traffic information using set aside camera image groupings. The strategy for the assessment of vehicle travel times relies upon the distinctive verification of traffic state. The particular vehicle velocities are gotten from acknowledged vehicle positions in two persistent images by working out the distance covered all through elapsed past time doing mollification between the removed traffic flow data and cultivating a plan to unequivocally predict vehicle travel times. Erbil road data base is used to recognize road locales around road segments which are projected into the commended camera images and later distinguished vehicles are assigned to the looking at route segment so instantaneous and current velocities are calculated. All data were effectively processed and visualized using both MATLAB and Python programming language and its libraries.","PeriodicalId":19824,"journal":{"name":"Periodicals of Engineering and Natural Sciences (PEN)","volume":"511 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135827726","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}
Camilo Leonardo Sandoval Rodriguez, Carlos Andres Angulo Julio, Arly Dario Rincón Quintero, Omar Lengerke, Nilson Yulian Castillo Leon
Piezoelectric materials can be used in applications designed to handle a wide range of input frequencies and forces to enable energy harvesting. Although several studies have been carried out on piezoelectric energy harvesting systems, this application is still under development. The purpose of this work is to analyze the behavior and the ability to generate electrical energy through the elements in piezoelectric tiles or platforms, specifically, piezoelectric disc elements with a diameter of 27 mm. To do this, a platform of about 130 x 75 cm was designed to capture the footsteps of people and transmit the impact force to sensors to determine the power generation capacity of the piezoelectric elements. Tests were carried out with people weighing between 75 kg and 85 kg and the measurements obtained made possible to identify the behavior of the system and to develop a mathematical model to estimate the energy generated through the platform. The piezoelectric elements used here proved to be fragile despite the different types of shock absorbers used to avoid their rupture. Therefore, it is recommended to delve into the design of protection mechanisms to extend the life of piezoelectric elements in energy collection systems.
压电材料可用于处理大范围输入频率和力的应用，以实现能量收集。虽然已经对压电能量收集系统进行了一些研究，但这种应用仍在发展中。这项工作的目的是分析通过压电片或平台中的元件，特别是直径为27毫米的压电盘元件产生电能的行为和能力。为此，设计了一个约130 x 75厘米的平台来捕捉人们的脚步，并将冲击力传递给传感器，以确定压电元件的发电能力。对体重在75公斤至85公斤之间的人进行了测试，所获得的测量结果可以确定系统的行为，并建立一个数学模型来估计通过平台产生的能量。尽管使用了不同类型的减震器来避免其破裂，但这里使用的压电元件被证明是脆弱的。因此，建议深入研究保护机构的设计，以延长能量收集系统中压电元件的寿命。
{"title":"Analysis of a piezoelectric energy harvester system from footsteps of passersby","authors":"Camilo Leonardo Sandoval Rodriguez, Carlos Andres Angulo Julio, Arly Dario Rincón Quintero, Omar Lengerke, Nilson Yulian Castillo Leon","doi":"10.21533/pen.v11i1.3179","DOIUrl":"https://doi.org/10.21533/pen.v11i1.3179","url":null,"abstract":"Piezoelectric materials can be used in applications designed to handle a wide range of input frequencies and forces to enable energy harvesting. Although several studies have been carried out on piezoelectric energy harvesting systems, this application is still under development. The purpose of this work is to analyze the behavior and the ability to generate electrical energy through the elements in piezoelectric tiles or platforms, specifically, piezoelectric disc elements with a diameter of 27 mm. To do this, a platform of about 130 x 75 cm was designed to capture the footsteps of people and transmit the impact force to sensors to determine the power generation capacity of the piezoelectric elements. Tests were carried out with people weighing between 75 kg and 85 kg and the measurements obtained made possible to identify the behavior of the system and to develop a mathematical model to estimate the energy generated through the platform. The piezoelectric elements used here proved to be fragile despite the different types of shock absorbers used to avoid their rupture. Therefore, it is recommended to delve into the design of protection mechanisms to extend the life of piezoelectric elements in energy collection systems.","PeriodicalId":19824,"journal":{"name":"Periodicals of Engineering and Natural Sciences (PEN)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135539108","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}
Focusing on production processes is the decisive factor in managing an efficient supply chain that leads to the company's success. The objective constraints in the model include all the goals the company seeks to achieve and the level to achieve for each. In addition to clarifying the contribution of each decision variable in achieving the specified levels of the different goals, The conclusions reached are the results that prove the possibility of solving a problem. Applying the mathematical model according to the demand for parts (derived from the demand for the final product) contributed significantly to saving the stock of raw materials, as (100) refers to the quantity that is kept as a regular stock for the first week and varies from one week to another according to the change in demand. As a result of reducing the stock of materials, the costs associated with it will decrease, and the difference can be seen in the total costs of storing raw materials and semi-manufactured parts, which is estimated at (47929.1) Iraqi dinars) for the storage of materials and parts for all weeks, according to the planning periods established by the company. By applying the genetic algorithm, the total storage costs were calculated, and it was (13024.8) Iraqi dinars, which is the most critical indicator of success in improving the supply chain performance.
{"title":"Solving multi-objective supply chain management using non-dominated sorting genetic algorithm","authors":"Batool Atiyah Khalaf","doi":"10.21533/pen.v10i6.3393","DOIUrl":"https://doi.org/10.21533/pen.v10i6.3393","url":null,"abstract":"Focusing on production processes is the decisive factor in managing an efficient supply chain that leads to the company's success. The objective constraints in the model include all the goals the company seeks to achieve and the level to achieve for each. In addition to clarifying the contribution of each decision variable in achieving the specified levels of the different goals, The conclusions reached are the results that prove the possibility of solving a problem. Applying the mathematical model according to the demand for parts (derived from the demand for the final product) contributed significantly to saving the stock of raw materials, as (100) refers to the quantity that is kept as a regular stock for the first week and varies from one week to another according to the change in demand. As a result of reducing the stock of materials, the costs associated with it will decrease, and the difference can be seen in the total costs of storing raw materials and semi-manufactured parts, which is estimated at (47929.1) Iraqi dinars) for the storage of materials and parts for all weeks, according to the planning periods established by the company. By applying the genetic algorithm, the total storage costs were calculated, and it was (13024.8) Iraqi dinars, which is the most critical indicator of success in improving the supply chain performance.","PeriodicalId":19824,"journal":{"name":"Periodicals of Engineering and Natural Sciences (PEN)","volume":"81 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136356495","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：