Sai Mani Krishna Sistla, Suhas Jangoan, Ikram Ahamed Mohamed
Purpose: The remarkable performance of Generative Adversarial Networks (GANs) in various applications has made them a popular subject in computer vision research, and they have also shown remarkable success in picture synthesis tasks. Materials and Methods: Image processing, synthesis, generation, semantic editing, translation, super-resolution, inpainting, and cartoon creation are all areas covered in this article's presentation of the most recent GAN research. To demonstrate how they have improved the result, they analyze the methods used by these applications and describe them. Findings: Insights into GAN research and a presentation of GAN-based applications in diverse contexts are the goals of this paper (Anon, 2022). Implications to Theory, Practice and Policy: Following this, we will go over some of the difficulties encountered by GANs and provide solutions to these issues. We also discuss potential future areas of study for GANs, including video creation, 3D face reconstruction, and facial animation synthesis.
目的：生成对抗网络（GAN）在各种应用中的出色表现使其成为计算机视觉研究中的热门课题，在图片合成任务中也取得了显著的成功。材料与方法：本文介绍的最新 GAN 研究涵盖了图像处理、合成、生成、语义编辑、翻译、超分辨率、内绘制和卡通创作等所有领域。为了展示他们是如何改进结果的，他们分析了这些应用所使用的方法，并对其进行了描述。研究结果：本文的目标是深入了解 GAN 研究，并介绍基于 GAN 的各种应用（Anon，2022 年）。对理论、实践和政策的影响：随后，我们将讨论 GAN 所遇到的一些困难，并提供解决这些问题的方法。我们还将讨论 GANs 未来的潜在研究领域，包括视频创作、三维人脸重建和面部动画合成。
{"title":"A State-of-the-Art Review on Image Synthesis with Generative Adversarial Networks","authors":"Sai Mani Krishna Sistla, Suhas Jangoan, Ikram Ahamed Mohamed","doi":"10.47672/ajce.1893","DOIUrl":"https://doi.org/10.47672/ajce.1893","url":null,"abstract":"Purpose: The remarkable performance of Generative Adversarial Networks (GANs) in various applications has made them a popular subject in computer vision research, and they have also shown remarkable success in picture synthesis tasks. \u0000Materials and Methods: Image processing, synthesis, generation, semantic editing, translation, super-resolution, inpainting, and cartoon creation are all areas covered in this article's presentation of the most recent GAN research. To demonstrate how they have improved the result, they analyze the methods used by these applications and describe them. \u0000Findings: Insights into GAN research and a presentation of GAN-based applications in diverse contexts are the goals of this paper (Anon, 2022). \u0000Implications to Theory, Practice and Policy: Following this, we will go over some of the difficulties encountered by GANs and provide solutions to these issues. We also discuss potential future areas of study for GANs, including video creation, 3D face reconstruction, and facial animation synthesis.","PeriodicalId":148892,"journal":{"name":"American Journal of Computing and Engineering","volume":"196 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140764026","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}
Purpose: With the depletion of fossil fuels, the landscape of electrical energy generation has witnessed a transformative shift towards alternative sources such as fuel cells and photovoltaic (PV) systems that produce direct current (DC) electricity. In the realm of distributed power generation, three-phase voltage source inverters (VSIs) are extensively utilized for converting energy from DC sources to alternating current (AC) for the grid or loads. The pivotal objective of this study is to investigate and compare the performance of fractional-order Proportional-Integral (PI) and Proportional-Integral-Derivative (PID) control structures against their integer-order counterparts in the voltage control loop of a VSI connected to a dynamic load system. Materials and Methods: The research employs frequency response analysis to design and implement both fractional-order PI/PID and integer-order PI/PID control structures for the voltage control loop. The simulation of the controlled system is conducted using MATLAB/Simulink, considering two distinct test scenarios – unstable and stable dynamic load conditions. The primary focus is on analyzing the inverter output voltage in the d-q axis under these scenarios. Findings: The analysis of the simulation results reveals noteworthy distinctions between the fractional-order and integer-order PI/PID controllers in the context of controlling the inverter system with dynamic loads. These findings shed light on the advantages of employing fractional order controllers, particularly in dynamic load scenarios, showcasing superior performance in comparison to their integer-order counterparts. Implications to Theory, Practice and Policy: The study's outcomes hold significant implications for the theory and practice of voltage control in distributed power generation systems. The superiority of fractional-order PI controllers underscores their potential for enhancing power quality, especially in systems with unstable and time-varying dynamic loads. These insights can inform the development of more effective control strategies for voltage source inverters, influencing both theoretical frameworks and practical applications. Policymakers may consider these findings when formulating regulations and incentives to promote the adoption of advanced control strategies in the evolving landscape of electrical energy generation.
目的：随着化石燃料的枯竭，电能生产的格局已发生转变，转向燃料电池和光伏系统等可产生直流电（DC）的替代能源。在分布式发电领域，三相电压源逆变器（VSI）被广泛用于将直流电源的能量转换为交流电，供电网或负载使用。本研究的主要目的是研究并比较连接到动态负载系统的 VSI 电压控制回路中分数阶比例积分（PI）和比例积分微分（PID）控制结构与整数阶控制结构的性能。材料和方法：研究采用频率响应分析方法，为电压控制回路设计并实施分数阶 PI/PID 和整数阶 PI/PID 控制结构。使用 MATLAB/Simulink 对受控系统进行仿真，考虑了两种不同的测试场景 - 不稳定和稳定的动态负载条件。主要重点是分析这些情况下 d-q 轴的逆变器输出电压。结果：对仿真结果的分析表明，在控制具有动态负载的逆变器系统时，分数阶 PI/PID 控制器与整数阶 PI/PID 控制器之间存在值得注意的区别。这些发现揭示了采用分数阶控制器的优势，特别是在动态负载情况下，与整数阶控制器相比，分数阶控制器表现出更优越的性能。对理论、实践和政策的影响：研究成果对分布式发电系统的电压控制理论和实践具有重要意义。分数阶 PI 控制器的优越性凸显了其在提高电能质量方面的潜力，尤其是在动态负载不稳定和时变的系统中。这些见解有助于为电压源逆变器开发更有效的控制策略，对理论框架和实际应用都有影响。政策制定者在制定法规和激励措施时，可以考虑这些研究结果，以促进在不断发展的发电领域采用先进的控制策略。
{"title":"Application of Fractional Order PI/PID Voltage Controllers for Three-Phase Voltage Source Inverter with Dynamic Load","authors":"Ozan Gül","doi":"10.47672/ajce.1774","DOIUrl":"https://doi.org/10.47672/ajce.1774","url":null,"abstract":"Purpose: With the depletion of fossil fuels, the landscape of electrical energy generation has witnessed a transformative shift towards alternative sources such as fuel cells and photovoltaic (PV) systems that produce direct current (DC) electricity. In the realm of distributed power generation, three-phase voltage source inverters (VSIs) are extensively utilized for converting energy from DC sources to alternating current (AC) for the grid or loads. The pivotal objective of this study is to investigate and compare the performance of fractional-order Proportional-Integral (PI) and Proportional-Integral-Derivative (PID) control structures against their integer-order counterparts in the voltage control loop of a VSI connected to a dynamic load system. \u0000Materials and Methods: The research employs frequency response analysis to design and implement both fractional-order PI/PID and integer-order PI/PID control structures for the voltage control loop. The simulation of the controlled system is conducted using MATLAB/Simulink, considering two distinct test scenarios – unstable and stable dynamic load conditions. The primary focus is on analyzing the inverter output voltage in the d-q axis under these scenarios. \u0000Findings: The analysis of the simulation results reveals noteworthy distinctions between the fractional-order and integer-order PI/PID controllers in the context of controlling the inverter system with dynamic loads. These findings shed light on the advantages of employing fractional order controllers, particularly in dynamic load scenarios, showcasing superior performance in comparison to their integer-order counterparts. \u0000Implications to Theory, Practice and Policy: The study's outcomes hold significant implications for the theory and practice of voltage control in distributed power generation systems. The superiority of fractional-order PI controllers underscores their potential for enhancing power quality, especially in systems with unstable and time-varying dynamic loads. These insights can inform the development of more effective control strategies for voltage source inverters, influencing both theoretical frameworks and practical applications. Policymakers may consider these findings when formulating regulations and incentives to promote the adoption of advanced control strategies in the evolving landscape of electrical energy generation.","PeriodicalId":148892,"journal":{"name":"American Journal of Computing and Engineering","volume":"227 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140454567","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}
Purpose: Despite the existence of Cyber Security technical controls, checklists, and formal procedures in the banks; there exists no employees’ assessment tool for Cyber Security ethical behavior. This research presents the creation of such a tool. This research aimed at enhancing Cyber Security by developing a Cyber-Security Ethical Behavior Assessment (ECEBA) model. Methodology: ECEBA model was used as an experimentation instrument for the development of a web-based application (ETHICA) for assessing Cyber Security ethical behavior. Unified Modelling Language (UML) was used. The ECEBA model followed the reuse concept by customizing the 3-tier architecture of the web application development. The front end interface was done using HTML5 to design the web interfaces of the ETHICA Application. To style the interfaces, CSS3 was used. Then JavaScript was used as a client side script to validate the data before submitting it to the server. AJAX a JavaScript library was used to allow submission and loading of data. Bootstrap was used to achieve responsiveness of the user interfaces. XAMPP a local MySQL server was used to host the database and the system files. Object Oriented PHP was used to act as a GUI to manage data communication between the server and interfaces. PHP Data Object driver class was used to achieve this. SQL was used to write the queries purposely to perform data processing on the server. Findings: The ECEBA model was developed. Deployed to the internet via URL http://Cybersecurity.groxels.com. It guided the design of ETHICA Application. Recommendation: Ethical behavior questions based on virtue ethical theory, Theory of Planned Behavior (TPB) and Ethical climate theory are fed into the ETHICA Application. This provides a platform for managers in assessing those individuals who may present Cyber security unethical behavior. Banks should give employees opportunity to assess themselves. Banks to use the model in conducting Employee pre-hire screening and periodic assessments of current employees. Banks should integrate the model with other cyber security controls for better ethical decision making & planning.
{"title":"A Web Based Employees’ Cyber Security Ethical Behavior Assessment (ECEBA) Model for Ugandan Commercial Banks","authors":"Nakato Ruth, Mayoka G Kituyi, Fred Kaggwa","doi":"10.47672/ajce.1513","DOIUrl":"https://doi.org/10.47672/ajce.1513","url":null,"abstract":"Purpose: Despite the existence of Cyber Security technical controls, checklists, and formal procedures in the banks; there exists no employees’ assessment tool for Cyber Security ethical behavior. This research presents the creation of such a tool. This research aimed at enhancing Cyber Security by developing a Cyber-Security Ethical Behavior Assessment (ECEBA) model. \u0000Methodology: ECEBA model was used as an experimentation instrument for the development of a web-based application (ETHICA) for assessing Cyber Security ethical behavior. Unified Modelling Language (UML) was used. The ECEBA model followed the reuse concept by customizing the 3-tier architecture of the web application development. The front end interface was done using HTML5 to design the web interfaces of the ETHICA Application. To style the interfaces, CSS3 was used. Then JavaScript was used as a client side script to validate the data before submitting it to the server. AJAX a JavaScript library was used to allow submission and loading of data. Bootstrap was used to achieve responsiveness of the user interfaces. XAMPP a local MySQL server was used to host the database and the system files. Object Oriented PHP was used to act as a GUI to manage data communication between the server and interfaces. PHP Data Object driver class was used to achieve this. SQL was used to write the queries purposely to perform data processing on the server. \u0000Findings: The ECEBA model was developed. Deployed to the internet via URL http://Cybersecurity.groxels.com. It guided the design of ETHICA Application. \u0000Recommendation: Ethical behavior questions based on virtue ethical theory, Theory of Planned Behavior (TPB) and Ethical climate theory are fed into the ETHICA Application. This provides a platform for managers in assessing those individuals who may present Cyber security unethical behavior. Banks should give employees opportunity to assess themselves. Banks to use the model in conducting Employee pre-hire screening and periodic assessments of current employees. Banks should integrate the model with other cyber security controls for better ethical decision making & planning. \u0000 ","PeriodicalId":148892,"journal":{"name":"American Journal of Computing and Engineering","volume":"104 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133564322","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}
Purpose: The purpose of the research is to investigate the role of machine learning (ML) and artificial intelligence (AI) in the growth of smart cities. It aims to understand how these technologies are being used to manage expanding metropolitan areas, boost economies, reduce energy consumption, and improve the living standards of residents. The study also aims to analyze the information flow associated with ICT in smart cities. Methodology: The methodology involves conducting a survey to identify the typical technologies used to support communication in smart cities. It also involves a systematic evaluation of current patterns in publications related to ICT in smart cities. The research utilizes ML and AI techniques to analyze and interpret the collected data. Findings: The findings of the study indicate that ML and AI play a significant role in various aspects of smart cities, particularly in the field of intelligent transportation systems. These technologies are utilized for tasks such as modeling and simulation, dynamic routing and congestion management, and intelligent traffic control. The research also reveals the application of ML and AI in other forms of transportation like air, rail, and road travel. Recommendations: Based on the findings, the study suggests that the agent computing paradigm is a powerful technology for the development of large-scale distributed systems, particularly in the context of geographically dispersed and dynamic transport systems. The research emphasizes the interoperability, flexibility, and extendibility of agent-based traffic control and management systems. It concludes by suggesting potential future research directions to effectively integrate agent technology into traffic and transportation systems.
{"title":"Artificial Intelligence in Transportation Systems A Critical Review","authors":"J. Bharadiya","doi":"10.47672/ajce.1487","DOIUrl":"https://doi.org/10.47672/ajce.1487","url":null,"abstract":"Purpose: The purpose of the research is to investigate the role of machine learning (ML) and artificial intelligence (AI) in the growth of smart cities. It aims to understand how these technologies are being used to manage expanding metropolitan areas, boost economies, reduce energy consumption, and improve the living standards of residents. The study also aims to analyze the information flow associated with ICT in smart cities. \u0000Methodology: The methodology involves conducting a survey to identify the typical technologies used to support communication in smart cities. It also involves a systematic evaluation of current patterns in publications related to ICT in smart cities. The research utilizes ML and AI techniques to analyze and interpret the collected data. \u0000Findings: The findings of the study indicate that ML and AI play a significant role in various aspects of smart cities, particularly in the field of intelligent transportation systems. These technologies are utilized for tasks such as modeling and simulation, dynamic routing and congestion management, and intelligent traffic control. The research also reveals the application of ML and AI in other forms of transportation like air, rail, and road travel. \u0000Recommendations: Based on the findings, the study suggests that the agent computing paradigm is a powerful technology for the development of large-scale distributed systems, particularly in the context of geographically dispersed and dynamic transport systems. The research emphasizes the interoperability, flexibility, and extendibility of agent-based traffic control and management systems. It concludes by suggesting potential future research directions to effectively integrate agent technology into traffic and transportation systems. \u0000 ","PeriodicalId":148892,"journal":{"name":"American Journal of Computing and Engineering","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125367366","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}
Purpose: The study aimed at portraying the current role of Artificial intelligence in accounting, auditing, and financial reporting. Methodology: The study used a descriptive research design. This form of research design aims at describing the current status of an identified variable. Data was collected from secondary materials. Findings: Currently, multiple AI technologies are being utilized in accounting, auditing, and financial reporting. The AI expert systems accept human experiences as well as technical know-how as their fundamental and try to develop aggregate behavior or practice. Also, AI has allowed for factors such as automated data input, thus enhancing the scope of accounting, and enabling modern accounting to integrate and process huge data. Recommendations: It is critical for future policymakers to ensure standardization of the AI system in the accounting paradigm to ensure high-quality systems that adhere to the principles of accounting.
{"title":"Impact of Artificial Intelligence on Accounting, Auditing and Financial Reporting","authors":"Ke-afoon Collins Kindzeka","doi":"10.47672/ajce.1433","DOIUrl":"https://doi.org/10.47672/ajce.1433","url":null,"abstract":"Purpose: The study aimed at portraying the current role of Artificial intelligence in accounting, auditing, and financial reporting. \u0000Methodology: The study used a descriptive research design. This form of research design aims at describing the current status of an identified variable. Data was collected from secondary materials. \u0000Findings: Currently, multiple AI technologies are being utilized in accounting, auditing, and financial reporting. The AI expert systems accept human experiences as well as technical know-how as their fundamental and try to develop aggregate behavior or practice. Also, AI has allowed for factors such as automated data input, thus enhancing the scope of accounting, and enabling modern accounting to integrate and process huge data. \u0000Recommendations: It is critical for future policymakers to ensure standardization of the AI system in the accounting paradigm to ensure high-quality systems that adhere to the principles of accounting. \u0000 ","PeriodicalId":148892,"journal":{"name":"American Journal of Computing and Engineering","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116500822","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}
Purpose: Different irrigation systems exist and they all possess various degrees of benefits in enhancing food sufficiency. In this study however, the enhancement of capillary irrigation system through an integrated fuzzy logic controller with Decision Support System (DSS) to ensure improvement in water saving for irrigation thereby improving crop yield towards food security was examined and achieved. Methodology: An integrated fuzzy logic controller with Decision Support System (DSS) for capillary irrigation system was adopted for the enhancement of water saving for irrigation. By using this method, the challenges of irrigation management which is prevalent with capillary irrigation system is minimised using the fuzzy logic controller. An Internet of things (IoT) based weather station for computation of potential evapotranspiration (PET), for measuring rainfall and a VH400 moisture content sensor for monitoring the volumetric water content of soil, were some facilities used to control the water level depth (WLD) autonomously through a fuzzy controller simulated in MATLAB and implemented on Arduino Mega. Findings: The soil moisture content (SMC) depicts that fuzzy controlled water level depth (WLD) is able to compensate reduction of water in crop medium that took place due to plant water uptake which changes daily. The result proves that dynamics of water supply depth has substantial effects on the water absorption flow rate, wetting pattern, soil water content and cumulative infiltration which are proportional to the water supply depth decrement. Unique Contribution to Practice: An integrated fuzzy logic controller with Decision Support System (DSS) is a new technique proposed for managing capillary irrigation system as it offers enhanced water saving capacity (irrigation volume) based on crop demand.
{"title":"Decision Support System and Fuzzy Logic Controller for Capillary Irrigation System","authors":"Mohammed Adamu , Abioye Mayowa , Isaac Jonah","doi":"10.47672/ajce.1422","DOIUrl":"https://doi.org/10.47672/ajce.1422","url":null,"abstract":"Purpose: Different irrigation systems exist and they all possess various degrees of benefits in enhancing food sufficiency. In this study however, the enhancement of capillary irrigation system through an integrated fuzzy logic controller with Decision Support System (DSS) to ensure improvement in water saving for irrigation thereby improving crop yield towards food security was examined and achieved. \u0000Methodology: An integrated fuzzy logic controller with Decision Support System (DSS) for capillary irrigation system was adopted for the enhancement of water saving for irrigation. By using this method, the challenges of irrigation management which is prevalent with capillary irrigation system is minimised using the fuzzy logic controller. An Internet of things (IoT) based weather station for computation of potential evapotranspiration (PET), for measuring rainfall and a VH400 moisture content sensor for monitoring the volumetric water content of soil, were some facilities used to control the water level depth (WLD) autonomously through a fuzzy controller simulated in MATLAB and implemented on Arduino Mega. \u0000Findings: The soil moisture content (SMC) depicts that fuzzy controlled water level depth (WLD) is able to compensate reduction of water in crop medium that took place due to plant water uptake which changes daily. The result proves that dynamics of water supply depth has substantial effects on the water absorption flow rate, wetting pattern, soil water content and cumulative infiltration which are proportional to the water supply depth decrement. \u0000Unique Contribution to Practice: An integrated fuzzy logic controller with Decision Support System (DSS) is a new technique proposed for managing capillary irrigation system as it offers enhanced water saving capacity (irrigation volume) based on crop demand.","PeriodicalId":148892,"journal":{"name":"American Journal of Computing and Engineering","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115600305","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}
Jean Pierre Nyakuri, Felix Harerimana, Francois Karanguza, Niyomufasha Ghadi, Jean D’Amour Mirembe, Jean Lambert Uwimana, T. Habiyaremye, Jean Claude Ndayisenga, Judith Bizimana
Purpose: Since the breakout of COVID-19 pandemic, various preventive measures have been put in place by WHO to prevent the spread of this disease. However, some people are unaware or less likely to follow rules regarding hygiene, physical distancing, properly wearing of face mask and body temperature measurement. One of the best solutions to this challenge is the introduction of the internet of things (IoT) technology to assist in implementation of the preventive measures. This paper presents an IoT-enabled solution that uses Fuzzy logic controller to assess the risks of being COVID-19 infected and monitor environment conditions in the public hall to limit the spread of the coronavirus. Methodology: The proposed model employed sensors to measure in real-time the body temperature, hand sanitization, wearing of face mask, room ventilation and IP camera controlled by Fuzzy logic controller for decision making. In addition, it uses raspberry-pi for processing and data transmission to the cloud, liquid crystal display (LCD) for displaying data and web application was developed for user interface. The resulting sensor measurements were simulated using MATLAB software and the system made automatic decisions. Findings: A prototype was implemented effectively and the results obtained from the system were fast, accurate, efficient and cost effective when compared to other commercially available systems. Unique Contribution to Practice: The actual practice for implementing the preventive measures require the presence of the health care personnel (HCP) which is time consuming and risky for HCP. Therefore, this system works autonomously and effectively in monitoring and controlling the implementation of the COVID-19 preventive measures in the public hall.
{"title":"IoT and Fuzzy Logic Applied to Smart Public Hall for COVID-19 Monitoring System","authors":"Jean Pierre Nyakuri, Felix Harerimana, Francois Karanguza, Niyomufasha Ghadi, Jean D’Amour Mirembe, Jean Lambert Uwimana, T. Habiyaremye, Jean Claude Ndayisenga, Judith Bizimana","doi":"10.47672/ajce.1358","DOIUrl":"https://doi.org/10.47672/ajce.1358","url":null,"abstract":"Purpose: Since the breakout of COVID-19 pandemic, various preventive measures have been put in place by WHO to prevent the spread of this disease. However, some people are unaware or less likely to follow rules regarding hygiene, physical distancing, properly wearing of face mask and body temperature measurement. One of the best solutions to this challenge is the introduction of the internet of things (IoT) technology to assist in implementation of the preventive measures. This paper presents an IoT-enabled solution that uses Fuzzy logic controller to assess the risks of being COVID-19 infected and monitor environment conditions in the public hall to limit the spread of the coronavirus. \u0000Methodology: The proposed model employed sensors to measure in real-time the body temperature, hand sanitization, wearing of face mask, room ventilation and IP camera controlled by Fuzzy logic controller for decision making. In addition, it uses raspberry-pi for processing and data transmission to the cloud, liquid crystal display (LCD) for displaying data and web application was developed for user interface. The resulting sensor measurements were simulated using MATLAB software and the system made automatic decisions. \u0000Findings: A prototype was implemented effectively and the results obtained from the system were fast, accurate, efficient and cost effective when compared to other commercially available systems. \u0000Unique Contribution to Practice: The actual practice for implementing the preventive measures require the presence of the health care personnel (HCP) which is time consuming and risky for HCP. Therefore, this system works autonomously and effectively in monitoring and controlling the implementation of the COVID-19 preventive measures in the public hall. \u0000 ","PeriodicalId":148892,"journal":{"name":"American Journal of Computing and Engineering","volume":"103 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":"124798668","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}
Maniriho Claudien, Tuyisenge Jean Claude, Munezero Alphonse, Kalisa Jean Bosco, Ishimwe Viviane, Bigirabagabo Aaron, Niyomufasha Ghadi
Purpose: The performance of smart antenna is affected by antenna array configuration and the direction of arrival estimation (DOA) algorithm used .To have a suitable DOA for an uniform rectangular array (URA),The performance of two dimensional estimation of signal parameters via rotational invariance techniques (2D-SPRIT) that are applied for two different planar dispositions of antenna for URA in Massive Multiple Inputs Multiple Output (Massive MIMO) systems when subjected to the same simulation conditions is comparatively analyzed. The performance of the proposed 2D-ESPRIT algorithm with URA in vertical plane (the case of full-dimensional MIMO) has been compared with that of the existing 2D-ESPRIT algorithm that is applied with URA in horizontal plane. Methodology: Implementation and simulation of analyzed 2D-ESPRIT algorithms was done in MATLAB and compared considering computational complexity efficiency, DOA estimation precision, estimation failure and variation of Root mean square Error (RMSE) with Signal to Noise Ratio (SNR) and angular spread. MATLAB simulation results got from similar input parameters in a multipath environment are compared to derive a conclusion. Findings: Simulation results show that the proposed 2D-ESPRIT algorithm applied in vertical plane outperforms the existing 2D-ESPRIT algorithm applied in horizontal plane for all considered performance criteria that include estimation precision, running time and Root mean square error (RMSE). Recommendation: Other researchers interested in working on 2D-ESPRIT algorithms are recommended to improve the work reported in this paper by further reducing computational complexity observed in 2D-ESPRIT algorithm with URA in vertical plane at large antenna array size to reflect the standard of full-dimension MIMO.
{"title":"Performance Analysis of 2D-ESPRIT Algorithm for URA in Estimation of 2D-DOA in Massive-MIMO Systems","authors":"Maniriho Claudien, Tuyisenge Jean Claude, Munezero Alphonse, Kalisa Jean Bosco, Ishimwe Viviane, Bigirabagabo Aaron, Niyomufasha Ghadi","doi":"10.47672/ajce.1300","DOIUrl":"https://doi.org/10.47672/ajce.1300","url":null,"abstract":"Purpose: The performance of smart antenna is affected by antenna array configuration and the direction of arrival estimation (DOA) algorithm used .To have a suitable DOA for an uniform rectangular array (URA),The performance of two dimensional estimation of signal parameters via rotational invariance techniques (2D-SPRIT) that are applied for two different planar dispositions of antenna for URA in Massive Multiple Inputs Multiple Output (Massive MIMO) systems when subjected to the same simulation conditions is comparatively analyzed. The performance of the proposed 2D-ESPRIT algorithm with URA in vertical plane (the case of full-dimensional MIMO) has been compared with that of the existing 2D-ESPRIT algorithm that is applied with URA in horizontal plane. \u0000Methodology: Implementation and simulation of analyzed 2D-ESPRIT algorithms was done in MATLAB and compared considering computational complexity efficiency, DOA estimation precision, estimation failure and variation of Root mean square Error (RMSE) with Signal to Noise Ratio (SNR) and angular spread. MATLAB simulation results got from similar input parameters in a multipath environment are compared to derive a conclusion. \u0000Findings: Simulation results show that the proposed 2D-ESPRIT algorithm applied in vertical plane outperforms the existing 2D-ESPRIT algorithm applied in horizontal plane for all considered performance criteria that include estimation precision, running time and Root mean square error (RMSE). \u0000Recommendation: Other researchers interested in working on 2D-ESPRIT algorithms are recommended to improve the work reported in this paper by further reducing computational complexity observed in 2D-ESPRIT algorithm with URA in vertical plane at large antenna array size to reflect the standard of full-dimension MIMO.","PeriodicalId":148892,"journal":{"name":"American Journal of Computing and Engineering","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114547283","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}
Muhammad Arsalan Sultan, Mazhar Ahmed, Muzamil Ali, Gul Zaman Babar
Well control is an essential part of any drilling operation. Improper well control procedure may result in blowout, and blowouts must be controlled to ensure a smooth drilling operation. The majority of well control incidents occur as a result of a failure to understand the fundamental principles involved. As a result, proper training and understanding are required for a drilling engineer. Every company in the world provides drilling engineers with training and an overview of various well control operations. The goal of taking well control as an engineering project is to think about and visualize the significance of well control in any drilling job. The purpose of this paper was to understand of well control procedures as well as the selection of the most effective well control system. The concurrent technique should only be utilized in exceptional circumstances; in the majority of occasions, the driller method is employed. However, if a suitable casing shoe is available, Wait & Weight method should also be used.
{"title":"Understanding the Well Control Procedures for optimizing the Well Control System during Drilling","authors":"Muhammad Arsalan Sultan, Mazhar Ahmed, Muzamil Ali, Gul Zaman Babar","doi":"10.47672/ajce.1285","DOIUrl":"https://doi.org/10.47672/ajce.1285","url":null,"abstract":"Well control is an essential part of any drilling operation. Improper well control procedure may result in blowout, and blowouts must be controlled to ensure a smooth drilling operation. The majority of well control incidents occur as a result of a failure to understand the fundamental principles involved. As a result, proper training and understanding are required for a drilling engineer. Every company in the world provides drilling engineers with training and an overview of various well control operations. The goal of taking well control as an engineering project is to think about and visualize the significance of well control in any drilling job. The purpose of this paper was to understand of well control procedures as well as the selection of the most effective well control system. The concurrent technique should only be utilized in exceptional circumstances; in the majority of occasions, the driller method is employed. However, if a suitable casing shoe is available, Wait & Weight method should also be used.","PeriodicalId":148892,"journal":{"name":"American Journal of Computing and Engineering","volume":"93 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116266067","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}
Purpose: In this work, the effect of indigenously sourced baobab leaf and root was experimented on the substrate of inter-critically developed dual phase steel in 0.3M H2SO4. Methodology: Standard techniques were adopted in carrying out the development and the corrosion experiments. Weight loss method was adopted and the corrosion rate eventually estimated following a standard route. Findings: From the results, it was observed that inter-critical heat treatment technique can be used to develop dual phase steel with a competing properties with the conventional dual phase steel. The use of baobab leaf and root extracts was also observed to serve as an organic inhibitor for dual phase steel having observed that the percentage inhibition efficiency (% IE) increases with increase in the soaking temperature of the developed DPS. Recommendation: The use of baobab leaf and root is thus recommended as alternative organic inhibitor to impede corrosion rate in DPS.
{"title":"Evaluation of Adansonia Digitata (Baobab) Leaf and Root Extracts as Inhibitor on Dual Phase Steel (DPS) in 0.3M H2SO4","authors":"E. Dongo, I. Momoh, A. A. Banabars","doi":"10.47672/ajce.1261","DOIUrl":"https://doi.org/10.47672/ajce.1261","url":null,"abstract":"Purpose: In this work, the effect of indigenously sourced baobab leaf and root was experimented on the substrate of inter-critically developed dual phase steel in 0.3M H2SO4. \u0000Methodology: Standard techniques were adopted in carrying out the development and the corrosion experiments. Weight loss method was adopted and the corrosion rate eventually estimated following a standard route. \u0000Findings: From the results, it was observed that inter-critical heat treatment technique can be used to develop dual phase steel with a competing properties with the conventional dual phase steel. The use of baobab leaf and root extracts was also observed to serve as an organic inhibitor for dual phase steel having observed that the percentage inhibition efficiency (% IE) increases with increase in the soaking temperature of the developed DPS. \u0000Recommendation: The use of baobab leaf and root is thus recommended as alternative organic inhibitor to impede corrosion rate in DPS.","PeriodicalId":148892,"journal":{"name":"American Journal of Computing and Engineering","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129833856","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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