M. T. Fathaddin, S. Irawan, T. Marhaendrajana, Pri Agung Rakhmanto, Marmora Titi Malinda, A. Nugrahanti, O. Ridaliani
In order to plan an optimum geothermal well drilling scheme, a proper identification of drilling parameters should be well known. Information of the parameters consists of weight on bit (WOB), true vertical depth (TVD), rate of penetration (ROP), foam flowrate (FF), and rotary speed (N). The valuable information can be provided by the drilled geothermal wells. Correlation of the drilling parameters is then obtained based on the information. The application of Artificial Neural (ANN) Network is needed since the relationships among the parameters are very complex and nonlinear. Moreover, the relationships are not easily known. In this paper, Artificial Neural Network was promoted to estimate penetration rate. Data were obtained from three wells at a field in South Sumatera, Indonesia. Three ANN models were generated. Each model includes different input parameters. Based on the comparison results, the ANN-3 model has the best level of accuracy with the average values of the parameters MAE, MARE, MSE, ARMSE, and the correlation coefficients are 0.8883, 9.54%, 1.1878, 1.0825, and 0.9938 respectively. ANN models can play a role in identifying parameters that affect the characteristics of penetration rate. Keywords—Drilling, WOB, Geothermal, ROP, ANN.
{"title":"Application of Artificial Neural Network to Estimate Rate of Penetration for Geothermal Well Drilling in South Sumatera","authors":"M. T. Fathaddin, S. Irawan, T. Marhaendrajana, Pri Agung Rakhmanto, Marmora Titi Malinda, A. Nugrahanti, O. Ridaliani","doi":"10.46338/ijetae0323_14","DOIUrl":"https://doi.org/10.46338/ijetae0323_14","url":null,"abstract":"In order to plan an optimum geothermal well drilling scheme, a proper identification of drilling parameters should be well known. Information of the parameters consists of weight on bit (WOB), true vertical depth (TVD), rate of penetration (ROP), foam flowrate (FF), and rotary speed (N). The valuable information can be provided by the drilled geothermal wells. Correlation of the drilling parameters is then obtained based on the information. The application of Artificial Neural (ANN) Network is needed since the relationships among the parameters are very complex and nonlinear. Moreover, the relationships are not easily known. In this paper, Artificial Neural Network was promoted to estimate penetration rate. Data were obtained from three wells at a field in South Sumatera, Indonesia. Three ANN models were generated. Each model includes different input parameters. Based on the comparison results, the ANN-3 model has the best level of accuracy with the average values of the parameters MAE, MARE, MSE, ARMSE, and the correlation coefficients are 0.8883, 9.54%, 1.1878, 1.0825, and 0.9938 respectively. ANN models can play a role in identifying parameters that affect the characteristics of penetration rate. Keywords—Drilling, WOB, Geothermal, ROP, ANN.","PeriodicalId":169403,"journal":{"name":"International Journal of Emerging Technology and Advanced Engineering","volume":"2016 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127505523","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 Autism Spectrum Disorder is diagnosed from birth is why they must have early stimulation that helps them to control some characteristics, improving their attention, auditory stimulation, and their social stimulation. That is why we have the objective of designing a mobile prototype for early stimulation in children with autism. In the methodology we use Design Thinking which has five phases (Empathize, Define, Ideate, Prototype, Testing) which is responsible for analyzing and solving user needs by proposing innovative ideas, for the mobile prototype we use the Figma tool, with Tinkercad we make 3D models and for an augmented reality we use MetaClass Studio these three tools are complemented to meet our goal. Our results show the solution for each phase of our methodology with 80 people involved in the analysis and finding the main problems, which we are responsible for solving by proposing the mobile application with augmented reality being validated by experts, with a level of acceptance of 94% guaranteeing their approval of the project, The analysis of usability by those involved was very effective with a 96% by specialists in early stimulation, parents and children with autism, guaranteeing a satisfactory, efficient and easy to learn the application. Finally, the project was continuously improved with an analysis of the traditional early stimulation with the mobile application with augmented reality, complementing an optimisation in its use. Keywords—Autism; design thinking; figma; metaclass studio; tinkercad
{"title":"Mobile Prototype for the Early Stimulation of Autistic Children with Augmented Reality","authors":"Misael Lazo Amado, Laberiano-Andrade Arenas","doi":"10.46338/ijetae0323_01","DOIUrl":"https://doi.org/10.46338/ijetae0323_01","url":null,"abstract":"The Autism Spectrum Disorder is diagnosed from birth is why they must have early stimulation that helps them to control some characteristics, improving their attention, auditory stimulation, and their social stimulation. That is why we have the objective of designing a mobile prototype for early stimulation in children with autism. In the methodology we use Design Thinking which has five phases (Empathize, Define, Ideate, Prototype, Testing) which is responsible for analyzing and solving user needs by proposing innovative ideas, for the mobile prototype we use the Figma tool, with Tinkercad we make 3D models and for an augmented reality we use MetaClass Studio these three tools are complemented to meet our goal. Our results show the solution for each phase of our methodology with 80 people involved in the analysis and finding the main problems, which we are responsible for solving by proposing the mobile application with augmented reality being validated by experts, with a level of acceptance of 94% guaranteeing their approval of the project, The analysis of usability by those involved was very effective with a 96% by specialists in early stimulation, parents and children with autism, guaranteeing a satisfactory, efficient and easy to learn the application. Finally, the project was continuously improved with an analysis of the traditional early stimulation with the mobile application with augmented reality, complementing an optimisation in its use. Keywords—Autism; design thinking; figma; metaclass studio; tinkercad","PeriodicalId":169403,"journal":{"name":"International Journal of Emerging Technology and Advanced Engineering","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133681909","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 paper deals with three novel Energy Management Strategies (EMS) for a Grid-Connected Hybrid Renewable Energy System (GCHRES) that utilizes a photovoltaic solar generator (PVG) and three modes controlled Wind Turbine system based on DFIG, along with a storage system based on battery. The CCP serves as the connection point between the Utility Grid (UG) and a residential AC load, primarily powered by the Renewable Energy Sources (RES). The UG acts as a backup source, and to limit the subscription power exceeding, the battery is designed to perform the peak shaving. Given the high vulnerability of batteries, the primary goal of all proposed EMSs is to maintain a continuous power supply while also protecting the battery from overcharging and deep discharge. Additionally, these EMSs are designed to lower the monthly energy bill for UG customers. The specific features of these EMSs vary depending on the metering types. And to maintain balance within the system, All components powers are controlled. The performances of the GCHRES were evaluated using simulation in MATLAB/SIMULINK environment. Results concerning the continuous ability to meet demand, stability of the system, tracking of references, and also wind turbine system control are discussed in this article. Keywords—Control and regulation, DFIG, Energy Management Strategies, Grid-Connected, Peak shaving, Photovoltaic,Pitch control, Renewable Energy, Wind Turbine
{"title":"Energy Management Strategies and Control of a Hybrid Grid-Connected Renewable Energy System with Three Modes Controlled DFIG based Wind Turbine","authors":"Mohammed Othmani, My Tahar Lamchich","doi":"10.46338/ijetae0323_05","DOIUrl":"https://doi.org/10.46338/ijetae0323_05","url":null,"abstract":"This paper deals with three novel Energy Management Strategies (EMS) for a Grid-Connected Hybrid Renewable Energy System (GCHRES) that utilizes a photovoltaic solar generator (PVG) and three modes controlled Wind Turbine system based on DFIG, along with a storage system based on battery. The CCP serves as the connection point between the Utility Grid (UG) and a residential AC load, primarily powered by the Renewable Energy Sources (RES). The UG acts as a backup source, and to limit the subscription power exceeding, the battery is designed to perform the peak shaving. Given the high vulnerability of batteries, the primary goal of all proposed EMSs is to maintain a continuous power supply while also protecting the battery from overcharging and deep discharge. Additionally, these EMSs are designed to lower the monthly energy bill for UG customers. The specific features of these EMSs vary depending on the metering types. And to maintain balance within the system, All components powers are controlled. The performances of the GCHRES were evaluated using simulation in MATLAB/SIMULINK environment. Results concerning the continuous ability to meet demand, stability of the system, tracking of references, and also wind turbine system control are discussed in this article. Keywords—Control and regulation, DFIG, Energy Management Strategies, Grid-Connected, Peak shaving, Photovoltaic,Pitch control, Renewable Energy, Wind Turbine","PeriodicalId":169403,"journal":{"name":"International Journal of Emerging Technology and Advanced Engineering","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132822717","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}
During the decays of 21st century and the past century, the networks technology has witnessed huge and continuous improvements in terms of speed and dissemination, and the internet as well. On the other hand, the demand on internet services have dramatically becomes more, and that demand has been increased rapidly during the crisis of COVID-19. The demand on domestic bandwidth has been increased during and COVID-19 period, but what make things strange is that the demand after COVID is as the same as during the period of COVID, and some countries have exceeded the bandwidth range. To fulfill such high demand of bandwidth, governments have resorted to new technologies represented by the Internet Exchange Point (IXPs) as a replacement of traditional exchange points, in order to achieve high bandwidth and speed rate. This work represents the concept of IXP and its benefits, comparisons between countries that adopted this technology, and other comparisons to Arab Countries. It focuses on the demand of bandwidth in the world and the reasons of that demand stability during and after COVID period and the need for IXPs and how that affect the Domestic Broadband Production (DBP). As a result, most of developed countries have extended the IXPs in order to provide high bandwidth, but still Arab World not familiar with it. Adopting the IXPs has reflected on the DBP in general positively. Keywords-- COVID-19, IXP, DBP, Networks, Bandwidth.
在21世纪和过去一个世纪的衰落中，网络技术在速度和传播方面取得了巨大的持续进步，互联网也是如此。另一方面，对互联网服务的需求急剧增加，在2019冠状病毒病危机期间，这种需求迅速增加。在新冠肺炎期间，国内带宽需求有所增加，但奇怪的是，新冠肺炎后的需求与新冠肺炎期间相同，有些国家甚至超过了带宽范围。为了满足如此高的带宽需求，各国政府纷纷采用以互联网交换点(Internet Exchange Point, ixp)为代表的新技术来取代传统的交换点，以实现高带宽和高速率。这项工作代表了IXP的概念及其好处，采用这项技术的国家之间的比较，以及与阿拉伯国家的其他比较。重点介绍了全球带宽需求以及COVID期间和之后需求稳定的原因，以及对ixp的需求及其对国内宽带生产(DBP)的影响。因此，大多数发达国家为了提供高带宽而扩展了ixp，但阿拉伯世界仍然不熟悉它。采用IXPs总体上对DBP产生了积极的影响。关键词:COVID-19, IXP, DBP，网络，带宽。
{"title":"Providing High Internet Traffic Using IXPs during the COVID-19 and its Impact on DBP","authors":"Y. Jazyah","doi":"10.46338/ijetae0323_13","DOIUrl":"https://doi.org/10.46338/ijetae0323_13","url":null,"abstract":"During the decays of 21st century and the past century, the networks technology has witnessed huge and continuous improvements in terms of speed and dissemination, and the internet as well. On the other hand, the demand on internet services have dramatically becomes more, and that demand has been increased rapidly during the crisis of COVID-19. The demand on domestic bandwidth has been increased during and COVID-19 period, but what make things strange is that the demand after COVID is as the same as during the period of COVID, and some countries have exceeded the bandwidth range. To fulfill such high demand of bandwidth, governments have resorted to new technologies represented by the Internet Exchange Point (IXPs) as a replacement of traditional exchange points, in order to achieve high bandwidth and speed rate. This work represents the concept of IXP and its benefits, comparisons between countries that adopted this technology, and other comparisons to Arab Countries. It focuses on the demand of bandwidth in the world and the reasons of that demand stability during and after COVID period and the need for IXPs and how that affect the Domestic Broadband Production (DBP). As a result, most of developed countries have extended the IXPs in order to provide high bandwidth, but still Arab World not familiar with it. Adopting the IXPs has reflected on the DBP in general positively. Keywords-- COVID-19, IXP, DBP, Networks, Bandwidth.","PeriodicalId":169403,"journal":{"name":"International Journal of Emerging Technology and Advanced Engineering","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133308159","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}
H. Khudov, V. Bashynskyi, O. Kovalenko, Kristina Tahyan, Oleksii Fakadii
The article focuses on the methods for improving the quality of detection of inconspicuous aerial objects through the use of external radiation sources. It has been established that the existing methods for improving the quality of detection of airborne objects do not meet modern requirements for detection indicators. The energy potential of modern radars is limited. Therefore, the article proposes detection methods that combine active radar and nontraditional principles for detecting airborne objects. In the article, we will focus only on two main methods for improving the quality of detection of small airborne objects. This is the use of energy from digital television receivers (external radiation source) and the use of information from ADS-B receivers. Technically, this means introducing an additional receiving channel into the radar. The gain in the conditional probability of correct detection for bistatic signal reception (compared to monostatic) is due to the properties of the bistatic effective scattering surface. It is shown that with the additional use of digital television signals, the quality of detection of airborne objects is improved. It is shown that the additional use of information from the ADS-B receivers makes it possible to increase the accuracy of determining the coordinates of an air object up to 40-50%, depending on the parameters of the movement of an air object. The subject of advanced research is the development of methods for suppressing the penetrating signal when using digital television and the development of methods for detecting airborne objects not equipped with the ADS B system. Keywords— aerial object, detection, quality, third-party source, ADS-B, digital TV, radar
{"title":"The Methods for Improving the Quality of Detection of Inconspicuous Aerial Objects Through the Use of External Radiation Sources","authors":"H. Khudov, V. Bashynskyi, O. Kovalenko, Kristina Tahyan, Oleksii Fakadii","doi":"10.46338/ijetae0323_09","DOIUrl":"https://doi.org/10.46338/ijetae0323_09","url":null,"abstract":"The article focuses on the methods for improving the quality of detection of inconspicuous aerial objects through the use of external radiation sources. It has been established that the existing methods for improving the quality of detection of airborne objects do not meet modern requirements for detection indicators. The energy potential of modern radars is limited. Therefore, the article proposes detection methods that combine active radar and nontraditional principles for detecting airborne objects. In the article, we will focus only on two main methods for improving the quality of detection of small airborne objects. This is the use of energy from digital television receivers (external radiation source) and the use of information from ADS-B receivers. Technically, this means introducing an additional receiving channel into the radar. The gain in the conditional probability of correct detection for bistatic signal reception (compared to monostatic) is due to the properties of the bistatic effective scattering surface. It is shown that with the additional use of digital television signals, the quality of detection of airborne objects is improved. It is shown that the additional use of information from the ADS-B receivers makes it possible to increase the accuracy of determining the coordinates of an air object up to 40-50%, depending on the parameters of the movement of an air object. The subject of advanced research is the development of methods for suppressing the penetrating signal when using digital television and the development of methods for detecting airborne objects not equipped with the ADS B system. Keywords— aerial object, detection, quality, third-party source, ADS-B, digital TV, radar","PeriodicalId":169403,"journal":{"name":"International Journal of Emerging Technology and Advanced Engineering","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128699428","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}
Nowadays, smart classrooms are becoming more popular. this research work is introducing an innovative approach to reducing/improving energy consumption in smart classrooms at Silpakorn University, Thailand. By integrating the IoT and environmental sensors cooperated with AI-based person detections, the system can effectively monitor and arrange the classroom environment in real-time/continuously. The simulation results showed that the proposed system is capable of regulating temperature, humidity, motion, lighting levels, and accurately counting the number of individuals in the classroom. The notification system serves as an additional layer of security, alerting in the case of any unexpected presence. The research work lays the foundation for further exploration and implementation of energy-efficient smart classroom solutions, which will ultimately benefit both the environment and the quality of education. Keywords— Internet of things, artificial intelligence, energy management, smart classroom, sensor
{"title":"Enhancing Energy Efficiency in Smart Classrooms through IoT and AI","authors":"T. Muangpoo, S. Pullteap","doi":"10.46338/ijetae0323_07","DOIUrl":"https://doi.org/10.46338/ijetae0323_07","url":null,"abstract":"Nowadays, smart classrooms are becoming more popular. this research work is introducing an innovative approach to reducing/improving energy consumption in smart classrooms at Silpakorn University, Thailand. By integrating the IoT and environmental sensors cooperated with AI-based person detections, the system can effectively monitor and arrange the classroom environment in real-time/continuously. The simulation results showed that the proposed system is capable of regulating temperature, humidity, motion, lighting levels, and accurately counting the number of individuals in the classroom. The notification system serves as an additional layer of security, alerting in the case of any unexpected presence. The research work lays the foundation for further exploration and implementation of energy-efficient smart classroom solutions, which will ultimately benefit both the environment and the quality of education. Keywords— Internet of things, artificial intelligence, energy management, smart classroom, sensor","PeriodicalId":169403,"journal":{"name":"International Journal of Emerging Technology and Advanced Engineering","volume":"94 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131645969","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}
Roasting coffee is an essential step in the production of coffee because it affects the flavour, aroma, and overall quality of the final product. Temperature control during the roasting process is essential to achieve a consistent and desired taste. This study seeks to assess the performance of a Fuzzy PID (FPID) controller during coffee roasting when the temperature setpoint varies. The temperature range in this study is from 34-200℃. The study employs an SR500 coffee roaster as the process plant, a FOPDT model structure, a PID-AMIGO benchmark controller, FPID-3 and FPID-5 controllers as the proposed controller. The study includes both simulation and real-time testing for the FPID-5 controller. The results for the FPID-5 controller indicated that the overshoot was reduced to 0.24% and 4.04% in simulation and 2.9% and 8.6% in real-time testing, representing an improvement of more than 90% in overshoot reduction compared to the PID controller. Thus, the proposed FPID-5 controller has been proven to effectively suppress overshoot during temperature setpoint changes in the coffee roasting process. Keywords— Arduino, FOPDT, Process control, temperature controller, real-time control.
{"title":"Assessing the Effectiveness of Fuzzy-PID Controller under Temperature Setpoint Changes During Coffee Roasting Process","authors":"M. T. Miskon, M. Rahiman, M. Taib","doi":"10.46338/ijetae0323_02","DOIUrl":"https://doi.org/10.46338/ijetae0323_02","url":null,"abstract":"Roasting coffee is an essential step in the production of coffee because it affects the flavour, aroma, and overall quality of the final product. Temperature control during the roasting process is essential to achieve a consistent and desired taste. This study seeks to assess the performance of a Fuzzy PID (FPID) controller during coffee roasting when the temperature setpoint varies. The temperature range in this study is from 34-200℃. The study employs an SR500 coffee roaster as the process plant, a FOPDT model structure, a PID-AMIGO benchmark controller, FPID-3 and FPID-5 controllers as the proposed controller. The study includes both simulation and real-time testing for the FPID-5 controller. The results for the FPID-5 controller indicated that the overshoot was reduced to 0.24% and 4.04% in simulation and 2.9% and 8.6% in real-time testing, representing an improvement of more than 90% in overshoot reduction compared to the PID controller. Thus, the proposed FPID-5 controller has been proven to effectively suppress overshoot during temperature setpoint changes in the coffee roasting process. Keywords— Arduino, FOPDT, Process control, temperature controller, real-time control.","PeriodicalId":169403,"journal":{"name":"International Journal of Emerging Technology and Advanced Engineering","volume":"107 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116371854","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 use of neural networks to recognize and classify objects in images is a popular field in computer science. It is highly likely that an object in an image chosen for classification will have a representation matrix with significantly less pixels than the background or other elements of the image. As a result, the initial plan would be to divide or segment that object from the other portions of the image that are not essential for categorization. This also serves as the study's objective, for which we employ segmentation to separate the components essential to the classification procedure and assess any room for improvement in the final classification outcome. Mask Region Convolutional Neural Network was the model used for segmentation, and Convolutional Neural Network was the model used for classification. The study's findings demonstrate a notable improvement in the classification in the case of sign language. Further advancement of image segmentation models implies better more accurate results for classification models once they are combined. Keywords— Neural network, Image segmentation, Sign language, Classification, Mask Regional Convolutional Neural Network.
利用神经网络对图像中的物体进行识别和分类是计算机科学的一个热门领域。选择用于分类的图像中的对象极有可能具有比图像的背景或其他元素少得多的像素表示矩阵。因此，最初的计划是将该对象与图像中不需要分类的其他部分分开或分割。这也是本研究的目标，为此，我们采用分割来分离分类过程中必不可少的组件，并评估最终分类结果的改进空间。Mask Region Convolutional Neural Network作为分割模型，Convolutional Neural Network作为分类模型。这项研究的结果表明，在手语的情况下，分类有了显著的改善。图像分割模型的进一步发展意味着分类模型结合后的结果会更好更准确。关键词:神经网络，图像分割，手语，分类，掩码区域卷积神经网络
{"title":"Neural Network Image Segmentation for Sign Language Interpretation","authors":"Vegim Shala, E. Bytyçi","doi":"10.46338/ijetae0323_11","DOIUrl":"https://doi.org/10.46338/ijetae0323_11","url":null,"abstract":"The use of neural networks to recognize and classify objects in images is a popular field in computer science. It is highly likely that an object in an image chosen for classification will have a representation matrix with significantly less pixels than the background or other elements of the image. As a result, the initial plan would be to divide or segment that object from the other portions of the image that are not essential for categorization. This also serves as the study's objective, for which we employ segmentation to separate the components essential to the classification procedure and assess any room for improvement in the final classification outcome. Mask Region Convolutional Neural Network was the model used for segmentation, and Convolutional Neural Network was the model used for classification. The study's findings demonstrate a notable improvement in the classification in the case of sign language. Further advancement of image segmentation models implies better more accurate results for classification models once they are combined. Keywords— Neural network, Image segmentation, Sign language, Classification, Mask Regional Convolutional Neural Network.","PeriodicalId":169403,"journal":{"name":"International Journal of Emerging Technology and Advanced Engineering","volume":"21 5","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120843933","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}
One of the main sources of electricity generation is power plants that use water (steam) to rotate turbines, which drive large electric generators. The steam can be generated from renewable or non-renewable energy sources, such as geothermal energy and nuclear fuels. Having an analysis tool for modeling the performance of such steam power plants can greatly help in reaching optimum designs, leading to less fuel consumption, reduced pollution, and cheaper electricity. It is further advantageous if such modeling tool is free to access, does not require many inputs from the user, and gives results in a very short time. These remarks establish a motivation for the current study. This article documents a computer code written in the Python programming language for numerically analysing the main processes in a steam power cycle with superheating. The code utilizes built-in thermodynamic properties for water in the open-source software package “Cantera”. A validation case with a benchmarking example in the literature using an independent source of water properties suggests that the developed code is correct. The code can be viewed as an extension to the Python examples for thermodynamic and power generation applications. Cantera can handle both subcritical and supercritical types of superheating. In the subcritical superheating, the steam absolute pressure does not exceed 220.9 bar. In the supercritical superheating, water becomes in a special condition called supercritical fluid, with absolute pressures above 220.9 bar. Keywords—Cantera, Python, Code, Program, Superheating
{"title":"Cantera-Based Python Computer Program for Solving Steam Power Cycles with Superheating","authors":"Osama A. Marzouk","doi":"10.46338/ijetae0323_06","DOIUrl":"https://doi.org/10.46338/ijetae0323_06","url":null,"abstract":"One of the main sources of electricity generation is power plants that use water (steam) to rotate turbines, which drive large electric generators. The steam can be generated from renewable or non-renewable energy sources, such as geothermal energy and nuclear fuels. Having an analysis tool for modeling the performance of such steam power plants can greatly help in reaching optimum designs, leading to less fuel consumption, reduced pollution, and cheaper electricity. It is further advantageous if such modeling tool is free to access, does not require many inputs from the user, and gives results in a very short time. These remarks establish a motivation for the current study. This article documents a computer code written in the Python programming language for numerically analysing the main processes in a steam power cycle with superheating. The code utilizes built-in thermodynamic properties for water in the open-source software package “Cantera”. A validation case with a benchmarking example in the literature using an independent source of water properties suggests that the developed code is correct. The code can be viewed as an extension to the Python examples for thermodynamic and power generation applications. Cantera can handle both subcritical and supercritical types of superheating. In the subcritical superheating, the steam absolute pressure does not exceed 220.9 bar. In the supercritical superheating, water becomes in a special condition called supercritical fluid, with absolute pressures above 220.9 bar. Keywords—Cantera, Python, Code, Program, Superheating","PeriodicalId":169403,"journal":{"name":"International Journal of Emerging Technology and Advanced Engineering","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133122858","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 Huzaifah Azmi, M. Mazlan, N. Salleh, H. Takano, Muhammad Hilmi Jallil, Muhammad Anas Razali, A. H. Abdullah
Degenerative disc disease is a spinal disorder in which the vertebral disc helps protect nerves and increase spine flexibility that begins to deteriorate. The syndromehappens in the lumbar spine, which is crucial in supporting the weight of the human body. The lumbar vertebrae are naturally larger to absorb the stress of carrying heavy objects. Many surgical treatments are available for this disorder, and the most common treatment is Posterior Lumbar Interbody Fusion (PLIF) surgery. However, a lot ofquestionable clinical effects related to this procedure, such as cage sinking into vertebral endplates, cage failure and cage relocation. This paper reviews the technical aspects of developing PLIF implants based on clinical, in-vitro, animal, prospective, and retrospective studies.The finite element analysis (FEA) approach has shown the most promising technique by offering virtual biomechanical assessments, low risk of implant failure and bone fractures, and satisfying patient-specific requirements. Many types of FEA software are available in the market, such as Ansys, ABACUS, and Mechanical Finder software. The ability of the software to develop heterogeneous bone models will give an extra advantage in improving the FEA accuracy in terms of stress and distributions and fracture risk assessment. The research approach, biomechanical assessment and data interpretation related to the development of the previous and existing studies will give an insightinto the research strategies and their restrictions. The FEA investigation can be utilized to optimize the mechanical characteristics of PLIF with various infill pattern designs and densities. Moreover, the further research analysis is still needed to improve interbody cage development
{"title":"Biomechanical Study of Posterior Lumbar Interbody Fusion: A Review","authors":"Muhammad Huzaifah Azmi, M. Mazlan, N. Salleh, H. Takano, Muhammad Hilmi Jallil, Muhammad Anas Razali, A. H. Abdullah","doi":"10.46338/ijetae0223_20","DOIUrl":"https://doi.org/10.46338/ijetae0223_20","url":null,"abstract":"Degenerative disc disease is a spinal disorder in which the vertebral disc helps protect nerves and increase spine flexibility that begins to deteriorate. The syndromehappens in the lumbar spine, which is crucial in supporting the weight of the human body. The lumbar vertebrae are naturally larger to absorb the stress of carrying heavy objects. Many surgical treatments are available for this disorder, and the most common treatment is Posterior Lumbar Interbody Fusion (PLIF) surgery. However, a lot ofquestionable clinical effects related to this procedure, such as cage sinking into vertebral endplates, cage failure and cage relocation. This paper reviews the technical aspects of developing PLIF implants based on clinical, in-vitro, animal, prospective, and retrospective studies.The finite element analysis (FEA) approach has shown the most promising technique by offering virtual biomechanical assessments, low risk of implant failure and bone fractures, and satisfying patient-specific requirements. Many types of FEA software are available in the market, such as Ansys, ABACUS, and Mechanical Finder software. The ability of the software to develop heterogeneous bone models will give an extra advantage in improving the FEA accuracy in terms of stress and distributions and fracture risk assessment. The research approach, biomechanical assessment and data interpretation related to the development of the previous and existing studies will give an insightinto the research strategies and their restrictions. The FEA investigation can be utilized to optimize the mechanical characteristics of PLIF with various infill pattern designs and densities. Moreover, the further research analysis is still needed to improve interbody cage development","PeriodicalId":169403,"journal":{"name":"International Journal of Emerging Technology and Advanced Engineering","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116803561","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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