Pub Date : 2023-06-30DOI: 10.35940/ijeat.e4127.0612523
I. Kishor, K. Kumar, Aarya Sharma, Harsh Bansal
We are all aware that virtual reality is a new emerging technology in the modern era. Virtual reality has enormous potential across many industries like Education, Hospitality, Gaming, Army, Tourism, etc. It is the medium of creating our own world, our own customized reality. In this paper, we discussed the extended reality concepts to make the virtual tour of the college campus with real voice assistant service that based on IoT concept. It is the key to experiencing, feeling and touching the college premises, using VR Technology. With this project any of guests want to visit the college premises, He/She can do virtually with our assistant service. In hectic schedules, colleges are facing difficulties during visiting the college to the parents because all faculty members have their other work to do. With this problem, the virtual tour is a solution. So we make the virtual tour with unique voice assistant facility on the concept of IoT technology which will provide the information regarding the place where the visitor will enter for visit by the help of VR Headset.
{"title":"Virtual Tour with Voice Assistant using Extended Reality","authors":"I. Kishor, K. Kumar, Aarya Sharma, Harsh Bansal","doi":"10.35940/ijeat.e4127.0612523","DOIUrl":"https://doi.org/10.35940/ijeat.e4127.0612523","url":null,"abstract":"We are all aware that virtual reality is a new emerging technology in the modern era. Virtual reality has enormous potential across many industries like Education, Hospitality, Gaming, Army, Tourism, etc. It is the medium of creating our own world, our own customized reality. In this paper, we discussed the extended reality concepts to make the virtual tour of the college campus with real voice assistant service that based on IoT concept. It is the key to experiencing, feeling and touching the college premises, using VR Technology. With this project any of guests want to visit the college premises, He/She can do virtually with our assistant service. In hectic schedules, colleges are facing difficulties during visiting the college to the parents because all faculty members have their other work to do. With this problem, the virtual tour is a solution. So we make the virtual tour with unique voice assistant facility on the concept of IoT technology which will provide the information regarding the place where the visitor will enter for visit by the help of VR Headset.","PeriodicalId":13981,"journal":{"name":"International Journal of Engineering and Advanced Technology","volume":"41 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77829461","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}
Pub Date : 2023-06-30DOI: 10.35940/ijeat.e4165.0612523
Nandini N, Madhura C, Keerthi Joshi K, Devprakash B, Vandana M. Ladwani
Document forgery is an increasing problem for both private companies and public administrations. It can be said to represent the loss of time and resources. There are many classical solutions to these problems such as the detection of an integrated security pattern. In such cases, it is important that we resort to forensic techniques for the detection. The idea behind using these forensic techniques can also be implemented using artificial intelligence/machine learning which can be of lower cost and can provide the same or better results. The experimental result shows that multiple models have strong detection capability to detect multiple forgeries. In this paper, we have developed a different approach to detecting forgery in a document. The forgery we detect can be classified as hand-written signature forgery and copy-move forgery of any photo, text, or signature. We have developed a novel approach using capsule layers to detect a forgery in handwritten signatures. We also use ELA (Error Level Analysis) to detect any error in the compression levels of the image.
{"title":"Document Forgery Detection","authors":"Nandini N, Madhura C, Keerthi Joshi K, Devprakash B, Vandana M. Ladwani","doi":"10.35940/ijeat.e4165.0612523","DOIUrl":"https://doi.org/10.35940/ijeat.e4165.0612523","url":null,"abstract":"Document forgery is an increasing problem for both private companies and public administrations. It can be said to represent the loss of time and resources. There are many classical solutions to these problems such as the detection of an integrated security pattern. In such cases, it is important that we resort to forensic techniques for the detection. The idea behind using these forensic techniques can also be implemented using artificial intelligence/machine learning which can be of lower cost and can provide the same or better results. The experimental result shows that multiple models have strong detection capability to detect multiple forgeries. In this paper, we have developed a different approach to detecting forgery in a document. The forgery we detect can be classified as hand-written signature forgery and copy-move forgery of any photo, text, or signature. We have developed a novel approach using capsule layers to detect a forgery in handwritten signatures. We also use ELA (Error Level Analysis) to detect any error in the compression levels of the image.","PeriodicalId":13981,"journal":{"name":"International Journal of Engineering and Advanced Technology","volume":"20 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76400330","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}
Pub Date : 2023-06-30DOI: 10.35940/ijeat.e4150.0612523
S. R, Dr. Suneetha K R
The prediction of stock market prices based on the financial text sentiment classification using Machine Learning (ML) and Deep Learning (DL) models is becoming popular among researchers in the era of Big Data (BD). Nevertheless, owing to the lack of extensive analysis, most of the developed ML and DL models failed to achieve better classification results. Thus, for the real-time prediction of the polarity of the stock price, a Probability Tanh-Independently Recurrent Neural Network (PT-IndRNN)-based classification of the sentiment of the financial text data of Twitter is proposed to solve this problem. Primarily, by employing the corresponding API, the real-time financial data and Twitter data are extracted and stored in the MongoDB database using Apache Flume. This stored data with the historical big datasets are taken and pre-processed. Next, by deploying the proposed Hadoop Distributed File System (HDFS) clustering, the pre-processed stock market data and Twitter data in real-time, as well as the historical dataset, are combined separately. After that, the features are extracted from the clustered sentences. Then, by utilizing the Senti Word Net, the sentences chosen using Linear Scaling-Dwarf Mongoose Optimization Algorithm (LS-DMOA) are converted to negative and positive scores. In the end, the sentiment of the financial texts is classified by the PTh-Ind RNN, which is proved by obtaining reliable result values.
在大数据时代，基于机器学习(ML)和深度学习(DL)模型的金融文本情绪分类预测股票市场价格正在成为研究人员的热门话题。然而，由于缺乏广泛的分析，大多数已开发的ML和DL模型未能获得较好的分类结果。因此，为了实时预测股票价格的极性，提出了一种基于概率tanh独立递归神经网络(PT-IndRNN)的Twitter财经文本数据情感分类方法来解决这一问题。首先，通过使用相应的API，使用Apache Flume将实时财务数据和Twitter数据提取并存储在MongoDB数据库中。这些与历史大数据集一起存储的数据被提取并预处理。接下来，通过部署提出的Hadoop分布式文件系统(HDFS)集群，将预处理后的实时股市数据和Twitter数据以及历史数据集分别组合起来。然后，从聚类句子中提取特征。然后，利用Senti Word Net，将使用线性缩放-矮猫鼬优化算法(LS-DMOA)选择的句子转换为负分数和正分数。最后，利用PTh-Ind RNN对财经文本的情感进行分类，得到了可靠的结果值。
{"title":"An Aggregator Framework for Transforming Big Data in Real-Time using PT-INDRNN","authors":"S. R, Dr. Suneetha K R","doi":"10.35940/ijeat.e4150.0612523","DOIUrl":"https://doi.org/10.35940/ijeat.e4150.0612523","url":null,"abstract":"The prediction of stock market prices based on the financial text sentiment classification using Machine Learning (ML) and Deep Learning (DL) models is becoming popular among researchers in the era of Big Data (BD). Nevertheless, owing to the lack of extensive analysis, most of the developed ML and DL models failed to achieve better classification results. Thus, for the real-time prediction of the polarity of the stock price, a Probability Tanh-Independently Recurrent Neural Network (PT-IndRNN)-based classification of the sentiment of the financial text data of Twitter is proposed to solve this problem. Primarily, by employing the corresponding API, the real-time financial data and Twitter data are extracted and stored in the MongoDB database using Apache Flume. This stored data with the historical big datasets are taken and pre-processed. Next, by deploying the proposed Hadoop Distributed File System (HDFS) clustering, the pre-processed stock market data and Twitter data in real-time, as well as the historical dataset, are combined separately. After that, the features are extracted from the clustered sentences. Then, by utilizing the Senti Word Net, the sentences chosen using Linear Scaling-Dwarf Mongoose Optimization Algorithm (LS-DMOA) are converted to negative and positive scores. In the end, the sentiment of the financial texts is classified by the PTh-Ind RNN, which is proved by obtaining reliable result values.","PeriodicalId":13981,"journal":{"name":"International Journal of Engineering and Advanced Technology","volume":"238 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77624730","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}
Pub Date : 2023-06-30DOI: 10.35940/ijeat.e4182.0612523
S. Jason
For dynamic resource scheduling in cloud data centers, a novel lightweight simulation system is proposed; two existing simulation systems at the application level for cloud computing are reviewed; and results gained using the suggested simulation system are examined and discussed. The usage of resources and energy efficiency in cloud data centers can be improved by load balancing and the consolidation of virtual machines. An aspect of dynamic virtual machine consolidation that directly affects resource usage and the quality of service the system is delivering is the timing of when it is ideal to reallocate Virtual Machines from an overloaded host [1]. Because server overloads result in a lack of resources and a decline in application performance, they have an impact on quality of service. In order to determine the best answer, existing approaches to the problem of host overload detection typically rely on statistical analysis inspired by nature. These strategies' drawbacks include the fact that they provide less-than-ideal outcomes and prevent the explicit articulation of a Quality-of-Service target. By optimizing the mean inter-migration time under the defined Quality of Service target ideally, we present a novel method for detecting host overload for any stationary workload that is known and a particular state configuration [2]. We demonstrate that our technique exceeds the best benchmark algorithm and offers over 88%of the performance of the ideal offline algorithm through simulations with real-world workload traces from more than a thousand Virtual Machines.
{"title":"Modeling and Simulation of Real-Time Virtual Machine Allocation in a Cloud Data Center","authors":"S. Jason","doi":"10.35940/ijeat.e4182.0612523","DOIUrl":"https://doi.org/10.35940/ijeat.e4182.0612523","url":null,"abstract":"For dynamic resource scheduling in cloud data centers, a novel lightweight simulation system is proposed; two existing simulation systems at the application level for cloud computing are reviewed; and results gained using the suggested simulation system are examined and discussed. The usage of resources and energy efficiency in cloud data centers can be improved by load balancing and the consolidation of virtual machines. An aspect of dynamic virtual machine consolidation that directly affects resource usage and the quality of service the system is delivering is the timing of when it is ideal to reallocate Virtual Machines from an overloaded host [1]. Because server overloads result in a lack of resources and a decline in application performance, they have an impact on quality of service. In order to determine the best answer, existing approaches to the problem of host overload detection typically rely on statistical analysis inspired by nature. These strategies' drawbacks include the fact that they provide less-than-ideal outcomes and prevent the explicit articulation of a Quality-of-Service target. By optimizing the mean inter-migration time under the defined Quality of Service target ideally, we present a novel method for detecting host overload for any stationary workload that is known and a particular state configuration [2]. We demonstrate that our technique exceeds the best benchmark algorithm and offers over 88%of the performance of the ideal offline algorithm through simulations with real-world workload traces from more than a thousand Virtual Machines.","PeriodicalId":13981,"journal":{"name":"International Journal of Engineering and Advanced Technology","volume":"10 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90385238","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}
Pub Date : 2023-06-30DOI: 10.35940/ijeat.e4211.0612523
V. Rekha, Manish Kumar, Dr. E. Vidya Sagar
The use of an electric vehicle (EV) in place of an internal combustion engine reduces pollution and produces zero emissions. EVs need considerable electrical energy from the grid, and therefore it is necessary to evaluate the performance of the radial distribution system, including the Electrical Vehicle Charging Station (EVCS) load. The future EVCS load is forecasted using Holt's model, and then it is applied uniformly to the distribution system. This increases the magnitudes of currents, which are calculated using the backward and forward sweep method of load flow analysis. The increased magnitude of current moderates the operating temperature of the components and results in an increase in the average failure rate of feeder line sections. The percentage change in the average failure rate is assumed to be directly proportional to the percentage change in current, which in turn affects reliability indices such as SAIDI and ENS. The reliability analysis needs proper modelling of loads on the system and is taken as light and heavy load, considered this as two load model. The existing load without EVs of the distribution system is taken as a light load and the future load including the EV load during the charging period (5hrs) on the distribution system is taken as a heavy load. In this paper, the reliability indices of a radial distribution feeder are calculated for different cases like without EV load, with EV load and for different percentages of faults during EV load duration and the results are compared. This work is validated on IEEE33 standard distribution system.
{"title":"Reliability Evaluation of Radial Distribution Feeder Considering Two Load Modelling of Forecasted Electric Vehicle Load","authors":"V. Rekha, Manish Kumar, Dr. E. Vidya Sagar","doi":"10.35940/ijeat.e4211.0612523","DOIUrl":"https://doi.org/10.35940/ijeat.e4211.0612523","url":null,"abstract":"The use of an electric vehicle (EV) in place of an internal combustion engine reduces pollution and produces zero emissions. EVs need considerable electrical energy from the grid, and therefore it is necessary to evaluate the performance of the radial distribution system, including the Electrical Vehicle Charging Station (EVCS) load. The future EVCS load is forecasted using Holt's model, and then it is applied uniformly to the distribution system. This increases the magnitudes of currents, which are calculated using the backward and forward sweep method of load flow analysis. The increased magnitude of current moderates the operating temperature of the components and results in an increase in the average failure rate of feeder line sections. The percentage change in the average failure rate is assumed to be directly proportional to the percentage change in current, which in turn affects reliability indices such as SAIDI and ENS. The reliability analysis needs proper modelling of loads on the system and is taken as light and heavy load, considered this as two load model. The existing load without EVs of the distribution system is taken as a light load and the future load including the EV load during the charging period (5hrs) on the distribution system is taken as a heavy load. In this paper, the reliability indices of a radial distribution feeder are calculated for different cases like without EV load, with EV load and for different percentages of faults during EV load duration and the results are compared. This work is validated on IEEE33 standard distribution system.","PeriodicalId":13981,"journal":{"name":"International Journal of Engineering and Advanced Technology","volume":"16 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86055766","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}
Pub Date : 2023-06-30DOI: 10.35940/ijeat.e4198.0612523
Dr. E. Sreeshobha, Prof. E. Vidyasagar
Together with quality power supply criteria, Composite Power System (CPS) reliability is also one of the important aspects of deciding the security of the CPS for a given load demand. In the current paper, the reliability of CPS is evaluated. The Newton Raphson (NR) approach is implemented in Power System Simulation for Engineering (PSSE) software to take into account, the load flows, then the power available to the load points, to evaluate the reliability of CPS. Newton Raphson NR Method was implemented by considering different contingencies of the CPS. Power available to the load points obtained by the NR method is critical in identifying the successful operating state of the CPS. Expected Load Curtailment (ELC), Number of Load Curtailment (NLC), Expected Energy Not Supplied (EENS), and Severity Index (SI) are the crucial dependability indices that are assessed. The main objective of the Reliability evaluation of the CPS is to investigate the scope for the improvement of reliability and explore the possible schemes to improve CPS reliability. The Unified Power Flow Controller (UPFC) one of the Flexible AC Transmission Systems is incorporated into the CPS to analyze the improvement in the reliability of the system. Further, the effect of UPFC on the power-carrying capacity of the lines under contingency conditions, resulting in the failure mode of CPS operation is examined. Improvement in the reliability indices of the system is observed due to UPFC incorporation.
与优质供电标准一样，复合电源系统的可靠性也是决定复合电源系统在给定负载需求下安全性的重要方面之一。本文对CPS的可靠性进行了评价。在电力系统仿真工程(PSSE)软件中采用牛顿-拉夫森(NR)方法，首先考虑负载流，然后考虑负载点的可用功率，从而评估CPS的可靠性。牛顿Raphson NR方法考虑了CPS的不同偶然性。通过NR方法获得的负载点可用功率对于确定CPS是否成功运行状态至关重要。预期减载(ELC)、减载次数(NLC)、预期不供能(EENS)和严重程度指数(SI)是评估电力系统可靠性的关键指标。CPS可靠性评估的主要目的是研究可靠性改进的范围，探索提高CPS可靠性的可能方案。将柔性交流输电系统中的统一潮流控制器UPFC (Unified Power Flow Controller)引入到CPS中，分析系统可靠性的提高情况。进一步分析了在突发情况下UPFC对线路载电量的影响，从而导致CPS运行的失效模式。由于UPFC的加入，系统的可靠性指标得到了改善。
{"title":"Reliability Improvement of Composite Power System using UPFC","authors":"Dr. E. Sreeshobha, Prof. E. Vidyasagar","doi":"10.35940/ijeat.e4198.0612523","DOIUrl":"https://doi.org/10.35940/ijeat.e4198.0612523","url":null,"abstract":"Together with quality power supply criteria, Composite Power System (CPS) reliability is also one of the important aspects of deciding the security of the CPS for a given load demand. In the current paper, the reliability of CPS is evaluated. The Newton Raphson (NR) approach is implemented in Power System Simulation for Engineering (PSSE) software to take into account, the load flows, then the power available to the load points, to evaluate the reliability of CPS. Newton Raphson NR Method was implemented by considering different contingencies of the CPS. Power available to the load points obtained by the NR method is critical in identifying the successful operating state of the CPS. Expected Load Curtailment (ELC), Number of Load Curtailment (NLC), Expected Energy Not Supplied (EENS), and Severity Index (SI) are the crucial dependability indices that are assessed. The main objective of the Reliability evaluation of the CPS is to investigate the scope for the improvement of reliability and explore the possible schemes to improve CPS reliability. The Unified Power Flow Controller (UPFC) one of the Flexible AC Transmission Systems is incorporated into the CPS to analyze the improvement in the reliability of the system. Further, the effect of UPFC on the power-carrying capacity of the lines under contingency conditions, resulting in the failure mode of CPS operation is examined. Improvement in the reliability indices of the system is observed due to UPFC incorporation.","PeriodicalId":13981,"journal":{"name":"International Journal of Engineering and Advanced Technology","volume":"39 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77393136","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}
Pub Date : 2023-06-30DOI: 10.35940/ijeat.e4202.0612523
G. Kirankumar, V. Rekha, Dr. E. Vidya Sagar
The components in the overhead electrical network are continuously exposed to the physical environment of varying weather conditions. If the weather around an electrical network is normal and consistent throughout a certain period of time, then the weather can be modelled as normal or single weather (SW). However, in practice, the overhead electrical network is always subjected to varying weather conditions such as normal weather and adverse weather then the weather is modelled as two weather (TW) model. Adverse weather (AW) can cause significant physical damage to the components, resulting in higher average failure rates and longer durations for power restoration. Without considering the weather conditions, the reliability assessment of the overhead electric power distribution system can be over-optimistic, and influence the planning and design decisions. The investigation of system reliability under two weather conditions provides the effect of percentage failures that occurs in severe weather conditions on average interruption duration per customer per year and the amount of energy not supplied per customer per year. This paper evaluates the reliability of a radial distribution system (RDS) considering single weather and two weather conditions. Further, the effect of the fault passage indicator placement on RDS under SW and TW is also evaluated. A fault passage indicator (FPI) is a device that indicates and communicates the fault's location to the operator hence reducing the fault identification time and improving the system reliability by reducing the outage duration time.
{"title":"Effect of a Single Fault Passage Indicator Placement on Radial Distribution System Reliability under Two Weather Conditions","authors":"G. Kirankumar, V. Rekha, Dr. E. Vidya Sagar","doi":"10.35940/ijeat.e4202.0612523","DOIUrl":"https://doi.org/10.35940/ijeat.e4202.0612523","url":null,"abstract":"The components in the overhead electrical network are continuously exposed to the physical environment of varying weather conditions. If the weather around an electrical network is normal and consistent throughout a certain period of time, then the weather can be modelled as normal or single weather (SW). However, in practice, the overhead electrical network is always subjected to varying weather conditions such as normal weather and adverse weather then the weather is modelled as two weather (TW) model. Adverse weather (AW) can cause significant physical damage to the components, resulting in higher average failure rates and longer durations for power restoration. Without considering the weather conditions, the reliability assessment of the overhead electric power distribution system can be over-optimistic, and influence the planning and design decisions. The investigation of system reliability under two weather conditions provides the effect of percentage failures that occurs in severe weather conditions on average interruption duration per customer per year and the amount of energy not supplied per customer per year. This paper evaluates the reliability of a radial distribution system (RDS) considering single weather and two weather conditions. Further, the effect of the fault passage indicator placement on RDS under SW and TW is also evaluated. A fault passage indicator (FPI) is a device that indicates and communicates the fault's location to the operator hence reducing the fault identification time and improving the system reliability by reducing the outage duration time.","PeriodicalId":13981,"journal":{"name":"International Journal of Engineering and Advanced Technology","volume":"54 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74688165","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}
Pub Date : 2023-06-30DOI: 10.35940/ijeat.e4196.0612523
Muhamad Soffi Manda, M. Rejab, S. A. Hassan, M. U. Wahit
This study investigates the strength enhancement of Tin Slag Polymer Concrete (TSPC) under hybrid GFRP and CFRP confinement in comparison with mono GFRP and CFRP confinement on TSPC circular short column samples. Hybrid FRP confinement is prepared by wrapping TSPC with GFRP followed by CFRP both 1 layer using epoxy Sikadur 330 as matrix binders with 50 mm overlap. Compression test was performed on unconfined TSPC (TSPC-UC), TSPC with GFRP confinement (TSPC-GF), TSPC with CFRP confinement (TSPC-CF) and TSPC with hybrid FRP confinement (TSPC-HB) with 1mm/ min loading rate. The test results have revealed that the ultimate strengths are 59.19 MPa (TSPC-UC), 85.54 MPa (TSPC-GF), 108.77 MPa (TSPC-CF) and 124.59 MPa (TSPC-HB). The corresponding compressive strain measured at ultimate compressive strength is 0.0300 (TSPC-UC), 0.0453 (TSPC-GF), 0.0398 (TSPC-CF) and 0.0588 (TSPC-HB). Stress versus strain curve has shown that compared to TSPC-UC, externally strengthen sample with GFRP, CFRP and Hybrid FRP have enhanced TSPC strength with slight different behavior. TSPC-GF has less strength enhancement with larger strain while TSPC-CF provide larger strength enhancement but with lower strain. However, TSPC-HB has shown the highest strength enhancement with larger strain benefit from combined GFRP and CFRP properties. Failure mode of hybrid FRP confinement on TSPC (TSPC-HB) has shown combination of both FRP components failure mode (TSPC-GF and TSPC-CF) as in rupture pattern and delamination. The results of this study has provide findings on the effect of hybrid FRP confinement on TSPC circular column sample in close expectation based on literatures.
{"title":"Effect of Hybrid FRP Confinement on Tin Slag Polymer Concrete Compressive Strength","authors":"Muhamad Soffi Manda, M. Rejab, S. A. Hassan, M. U. Wahit","doi":"10.35940/ijeat.e4196.0612523","DOIUrl":"https://doi.org/10.35940/ijeat.e4196.0612523","url":null,"abstract":"This study investigates the strength enhancement of Tin Slag Polymer Concrete (TSPC) under hybrid GFRP and CFRP confinement in comparison with mono GFRP and CFRP confinement on TSPC circular short column samples. Hybrid FRP confinement is prepared by wrapping TSPC with GFRP followed by CFRP both 1 layer using epoxy Sikadur 330 as matrix binders with 50 mm overlap. Compression test was performed on unconfined TSPC (TSPC-UC), TSPC with GFRP confinement (TSPC-GF), TSPC with CFRP confinement (TSPC-CF) and TSPC with hybrid FRP confinement (TSPC-HB) with 1mm/ min loading rate. The test results have revealed that the ultimate strengths are 59.19 MPa (TSPC-UC), 85.54 MPa (TSPC-GF), 108.77 MPa (TSPC-CF) and 124.59 MPa (TSPC-HB). The corresponding compressive strain measured at ultimate compressive strength is 0.0300 (TSPC-UC), 0.0453 (TSPC-GF), 0.0398 (TSPC-CF) and 0.0588 (TSPC-HB). Stress versus strain curve has shown that compared to TSPC-UC, externally strengthen sample with GFRP, CFRP and Hybrid FRP have enhanced TSPC strength with slight different behavior. TSPC-GF has less strength enhancement with larger strain while TSPC-CF provide larger strength enhancement but with lower strain. However, TSPC-HB has shown the highest strength enhancement with larger strain benefit from combined GFRP and CFRP properties. Failure mode of hybrid FRP confinement on TSPC (TSPC-HB) has shown combination of both FRP components failure mode (TSPC-GF and TSPC-CF) as in rupture pattern and delamination. The results of this study has provide findings on the effect of hybrid FRP confinement on TSPC circular column sample in close expectation based on literatures.","PeriodicalId":13981,"journal":{"name":"International Journal of Engineering and Advanced Technology","volume":"32 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78127747","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}
Pub Date : 2023-06-30DOI: 10.35940/ijeat.e4194.0612523
B. Kareem, A. S. Lawal, S. Drisu
There is a growing need at creating wealth from wastes. Waste tyres have been littering our environment. There is need to create ways of utilizing them effectively after their critical mechanical properties have been investigated. Flexible couplings made of waste tyres were designed using power ratings and service factors of generating plant. Coupling sizes, dimensions, among other physical properties were selected at varying Internal Combustion Engine (ICE) speeds; 1000, 2000 and 3000 rpm, from which the choices of waste tyre couplings were made. The results of over 16 hours of running of the generating plant using coupling size F 60 selected based on service factor (1.5), engine speed (1000 rpm), bore diameters ( 42-48 mm) and power rating (11.10 kW) performed satisfactorily. Therefore, the waste tyre flexible couplings are capable of transmitting power/torque from the generating plant without failure within the test hours.
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Pub Date : 2023-06-30DOI: 10.35940/ijeat.e4200.0612523
Mrs. Kirti Pankaj Kakde, Dr. H. M. Padalikar
Multilingualism has played a key role in India, where people speak and understand more than one language. Marathi, as one of the official languages inMaharashtra state, is often used in sources such as newspapers or blogs. However, manually summarizing bulky Marathi paragraphs or texts for easy comprehension can be challenging. To address this, text summarization becomes essential to make large documents easily readable and understandable. This research article focuses on single document text summarization using the Natural Language Processing (NLP) approach, a subfield of Artificial Intelligence. Automatic text summarization is employed to extract relevant information in a concise manner. Information Extraction is particularly useful when summarizing documents consisting of multiple sentences into three or four sentences. While extensive research has been conducted on English Text Summarization, the field of Marathi document summarization remains largely unexplored. This research paper explores extractive text summarization techniques specifically for Marathi documents, utilizing the LexRank algorithm along with Genism, a graph-based technique, to generate informative summaries within word limit constraints. The experiment was conducted on the IndicNLP Marathi news article dataset, resulting in 78% precision, 72% recall, and 75% F-measure using the frequency-based method, and 78% precision, 78% recall, and 78% F-measure using the Lex Rank algorithm.
{"title":"Marathi Text Summarization using Extractive Technique","authors":"Mrs. Kirti Pankaj Kakde, Dr. H. M. Padalikar","doi":"10.35940/ijeat.e4200.0612523","DOIUrl":"https://doi.org/10.35940/ijeat.e4200.0612523","url":null,"abstract":"Multilingualism has played a key role in India, where people speak and understand more than one language. Marathi, as one of the official languages inMaharashtra state, is often used in sources such as newspapers or blogs. However, manually summarizing bulky Marathi paragraphs or texts for easy comprehension can be challenging. To address this, text summarization becomes essential to make large documents easily readable and understandable. This research article focuses on single document text summarization using the Natural Language Processing (NLP) approach, a subfield of Artificial Intelligence. Automatic text summarization is employed to extract relevant information in a concise manner. Information Extraction is particularly useful when summarizing documents consisting of multiple sentences into three or four sentences. While extensive research has been conducted on English Text Summarization, the field of Marathi document summarization remains largely unexplored. This research paper explores extractive text summarization techniques specifically for Marathi documents, utilizing the LexRank algorithm along with Genism, a graph-based technique, to generate informative summaries within word limit constraints. The experiment was conducted on the IndicNLP Marathi news article dataset, resulting in 78% precision, 72% recall, and 75% F-measure using the frequency-based method, and 78% precision, 78% recall, and 78% F-measure using the Lex Rank algorithm.","PeriodicalId":13981,"journal":{"name":"International Journal of Engineering and Advanced Technology","volume":"26 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81878384","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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