Pub Date : 2022-10-30DOI: 10.35940/ijeat.a3852.1012122
D. Ambawade, D. Bakal
Alert correlation is a system that receives alerts from heterogeneous Intrusion Detection Systems and reduces false alerts, detects high-level patterns of attacks, increases the meaning of occurred incidents, predicts the future states of attacks, and detects root cause of attacks. This paper presents self-organizing maps and the k-means machine learning algorithms to reduce the number of alerts by clustering them.
{"title":"Alert Clustering using Self-Organizing Maps and K-Means Algorithm","authors":"D. Ambawade, D. Bakal","doi":"10.35940/ijeat.a3852.1012122","DOIUrl":"https://doi.org/10.35940/ijeat.a3852.1012122","url":null,"abstract":"Alert correlation is a system that receives alerts from heterogeneous Intrusion Detection Systems and reduces false alerts, detects high-level patterns of attacks, increases the meaning of occurred incidents, predicts the future states of attacks, and detects root cause of attacks. This paper presents self-organizing maps and the k-means machine learning algorithms to reduce the number of alerts by clustering them.","PeriodicalId":13981,"journal":{"name":"International Journal of Engineering and Advanced Technology","volume":"123 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79486467","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 : 2022-10-30DOI: 10.35940/ijeat.a3848.1012122
B.T. Loom, W. Zamri, A. Ariffin, M. F. Md Din, A. Shamsudeen
The purpose of this study is to determine the stress distribution of uncoated and coated ball bearings by using finite element analysis. The coatings used in this study are titanium nitride (TiN), titanium carbide (TiC) and chromium nitride (CrN) with a thickness of 5 microns. A contact analysis has been performed on ball bearings to compare the performance between coated and uncoated ball bearings. Boundary loads of 5000 N is used for contact analysis. This study tries to establish a simple, two-dimensional expression for the elastic deformation with the inner ring and ball bearing as a angular or curvature model in terms of the geometry of the coating contact surfaces. The coating of ball and raceway surfaces is a requisite but difficult factor to be determined during design, so it is desirable for engineering to understand the effect of surface coating on the motion of ball and subsurface stresses in bearing. For contact analysis, the maximum contact pressure and maximum stress on the coating, inner ring and ball bearing have been used for comparison. The results of this study show that, among other coatings, TiC provides the best protection for the ball of the ball bearing. This is because the low Poisson's ratio of TiC in other coated ball bearings helps reduce the stress on the ball bearing, even though TiC has the lowest Young's modulus in the coating. When a lower boundary load is applied, high COF will also cause an abnormal increase in the maximum stress on the contact surface between the coated or uncoated ball and the inner ring of the ball bearing.
{"title":"Angular Contact Ball Bearing Modeling with Different Types of Coatings","authors":"B.T. Loom, W. Zamri, A. Ariffin, M. F. Md Din, A. Shamsudeen","doi":"10.35940/ijeat.a3848.1012122","DOIUrl":"https://doi.org/10.35940/ijeat.a3848.1012122","url":null,"abstract":"The purpose of this study is to determine the stress distribution of uncoated and coated ball bearings by using finite element analysis. The coatings used in this study are titanium nitride (TiN), titanium carbide (TiC) and chromium nitride (CrN) with a thickness of 5 microns. A contact analysis has been performed on ball bearings to compare the performance between coated and uncoated ball bearings. Boundary loads of 5000 N is used for contact analysis. This study tries to establish a simple, two-dimensional expression for the elastic deformation with the inner ring and ball bearing as a angular or curvature model in terms of the geometry of the coating contact surfaces. The coating of ball and raceway surfaces is a requisite but difficult factor to be determined during design, so it is desirable for engineering to understand the effect of surface coating on the motion of ball and subsurface stresses in bearing. For contact analysis, the maximum contact pressure and maximum stress on the coating, inner ring and ball bearing have been used for comparison. The results of this study show that, among other coatings, TiC provides the best protection for the ball of the ball bearing. This is because the low Poisson's ratio of TiC in other coated ball bearings helps reduce the stress on the ball bearing, even though TiC has the lowest Young's modulus in the coating. When a lower boundary load is applied, high COF will also cause an abnormal increase in the maximum stress on the contact surface between the coated or uncoated ball and the inner ring of the ball bearing.","PeriodicalId":13981,"journal":{"name":"International Journal of Engineering and Advanced Technology","volume":"12 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80656066","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 : 2022-10-30DOI: 10.35940/ijeat.a3855.1012122
Anna Liza C. Nacion
The study focused on the operational efficiency of e-trikes and motorized tricycles as public utility vehicles, leading to the analytical comparison of the data gathered. The comparative analysis on both tricycles reveals that e-trikes are more efficient and safer, consume zero fuel, and almost double in passenger capacity when compared to the motorized tricycle. Further, e-trike can enter narrower streets or alley easily for having lesser width. On the other hand, motorized tricycles are faster and can reach higher kilometrage and with a shorter length, it has no problems on approaching slopes and bumps. M/M/1 was used to evaluate the service performance of the electrical and motorized tricycles in the terminal. The results show that the e-trike terminal service rate is more efficient than that of the motorized terminal where commuters spent lesser time waiting to be served. The study recommends the need to understand further the effects, advantages, and disadvantages of both tricycles as regard the planned implementation in the mode of public transportation system. Additionally, further study may be needed focusing on the economic and environmental sustainability, and the use of renewable resources to contribute on the sustainable development and increase operational efficiency of PUVs.
{"title":"An Operational Efficiency Assessment of E-Trike and Motorized Tricycles as Public Utility Vehicles","authors":"Anna Liza C. Nacion","doi":"10.35940/ijeat.a3855.1012122","DOIUrl":"https://doi.org/10.35940/ijeat.a3855.1012122","url":null,"abstract":"The study focused on the operational efficiency of e-trikes and motorized tricycles as public utility vehicles, leading to the analytical comparison of the data gathered. The comparative analysis on both tricycles reveals that e-trikes are more efficient and safer, consume zero fuel, and almost double in passenger capacity when compared to the motorized tricycle. Further, e-trike can enter narrower streets or alley easily for having lesser width. On the other hand, motorized tricycles are faster and can reach higher kilometrage and with a shorter length, it has no problems on approaching slopes and bumps. M/M/1 was used to evaluate the service performance of the electrical and motorized tricycles in the terminal. The results show that the e-trike terminal service rate is more efficient than that of the motorized terminal where commuters spent lesser time waiting to be served. The study recommends the need to understand further the effects, advantages, and disadvantages of both tricycles as regard the planned implementation in the mode of public transportation system. Additionally, further study may be needed focusing on the economic and environmental sustainability, and the use of renewable resources to contribute on the sustainable development and increase operational efficiency of PUVs.","PeriodicalId":13981,"journal":{"name":"International Journal of Engineering and Advanced Technology","volume":"87 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75731380","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 : 2022-10-30DOI: 10.35940/ijeat.a3846.1012122
M. Ekbote, Aishwarya Jadhav, D. Ambawade
MODI, synonymous with the Devanagari script, is an ancient script from the 17th century used by the Maratha empire as a symbol of culture and power to propagate Marathi. Due to a decline in its usage, absence of quality script database and an unavailability of good literature, identification and translation of MODI script is demanding. The present work deals with a novel study on the recognition of MODI characters and numerals by using Convolutional Neural Network (CNN) architecture. By using a traditional machine learning classifier, classification is performed, and then through a comparative analysis of Random Forest and XGBoost, the study achieves recognition accuracy of 92% for characters and 93.3% for numerals.
{"title":"Implementing a Hybrid Deep Learning Approach to Achieve Classic Handwritten Alphanumeric MODI Recognition","authors":"M. Ekbote, Aishwarya Jadhav, D. Ambawade","doi":"10.35940/ijeat.a3846.1012122","DOIUrl":"https://doi.org/10.35940/ijeat.a3846.1012122","url":null,"abstract":"MODI, synonymous with the Devanagari script, is an ancient script from the 17th century used by the Maratha empire as a symbol of culture and power to propagate Marathi. Due to a decline in its usage, absence of quality script database and an unavailability of good literature, identification and translation of MODI script is demanding. The present work deals with a novel study on the recognition of MODI characters and numerals by using Convolutional Neural Network (CNN) architecture. By using a traditional machine learning classifier, classification is performed, and then through a comparative analysis of Random Forest and XGBoost, the study achieves recognition accuracy of 92% for characters and 93.3% for numerals.","PeriodicalId":13981,"journal":{"name":"International Journal of Engineering and Advanced Technology","volume":"44 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83242362","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 : 2022-10-30DOI: 10.35940/ijeat.a3857.1012122
Smita Sankhe, Dr. Guddi Singh
The occurrence of diseases in plants badly impacts the agricultural production, which increases the food insecurity when the diseases are left undetected. Particularly important for ensuring the availability of production of agricultural and food are the major crops, such as maize, rice, and others. Effective control and prevention of diseases in plants are based on disease forecasting and early warning, which is essential for managing and making decisions regarding agricultural productivity. In rural parts of developing nations, observations by knowledgeable providers remain the main method for plant disease identification as of yet. This draws researchers in for ongoing experienced monitoring, which may be cost-prohibitive on large farms. Besides, in some remote areas, farmers require the assistance of the agricultural experts, which is the expensive and time-consuming process. Hence, automatic disease identification for plants is important to promote the monitoring of large crop fields, which encourages the contribution of the accurate, less-expensive, automatic, and fast technique to perform the detection of diseases in plants. In this survey, the automatic detection methods used for the plant disease detection based on the deep learning methods are discussed. The importance of the deep learning methods for the detection of disease is demonstrated through the schematic sketch on the other basic machine learning techniques in agricultural applications.
{"title":"An Empirical Survey of Machine Learning Based Plant Disease Prediction Models","authors":"Smita Sankhe, Dr. Guddi Singh","doi":"10.35940/ijeat.a3857.1012122","DOIUrl":"https://doi.org/10.35940/ijeat.a3857.1012122","url":null,"abstract":"The occurrence of diseases in plants badly impacts the agricultural production, which increases the food insecurity when the diseases are left undetected. Particularly important for ensuring the availability of production of agricultural and food are the major crops, such as maize, rice, and others. Effective control and prevention of diseases in plants are based on disease forecasting and early warning, which is essential for managing and making decisions regarding agricultural productivity. In rural parts of developing nations, observations by knowledgeable providers remain the main method for plant disease identification as of yet. This draws researchers in for ongoing experienced monitoring, which may be cost-prohibitive on large farms. Besides, in some remote areas, farmers require the assistance of the agricultural experts, which is the expensive and time-consuming process. Hence, automatic disease identification for plants is important to promote the monitoring of large crop fields, which encourages the contribution of the accurate, less-expensive, automatic, and fast technique to perform the detection of diseases in plants. In this survey, the automatic detection methods used for the plant disease detection based on the deep learning methods are discussed. The importance of the deep learning methods for the detection of disease is demonstrated through the schematic sketch on the other basic machine learning techniques in agricultural applications.","PeriodicalId":13981,"journal":{"name":"International Journal of Engineering and Advanced Technology","volume":"72 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74142470","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 : 2022-10-30DOI: 10.35940/ijeat.a3836.1012122
Y. Ykuntam, Bujjibabu Penumutchi, Bala Srinivas Peteti, Satyanarayana Vella
A computing device designed to carry out a variety of arithmetic computations. The adder circuit, whose operation must be quick with a small area of occupancy, performs the addition, which is a necessary operation in many other mathematical operations including subtraction, multiplication, and division. There is a mandate for an adder circuit with minimal power consumption, minimal delay, and minimal size in various real-time applications such as processing of signals, pictures & video, VLSI data pathways, processors, neural networks, and many more. There is a new class of adders called approximation adders that operate inaccurately but with favorable area, speed, and power consumption. Since their output is inaccurate, the other names for approximate adders are imprecise adders. This set of adders operates at a high speed thanks to a circuit critical path design that uses fewer components. Additionally, compared to precise adders, the approximate adder circuit has a relatively low component count, resulting in a small footprint and circuits that use less energy. There are different ways to create approximate adders. The area can be predicted by counting the number of circuit components that are present. By examining a number of the critical path’s components, delay can be predicted. Several errors that appear in the output of the particular circuit can be used to calculate the accuracy percentage. This review compares approximate adders from four different categories across the board in terms of design constraints and makes note of the differences between each adder.
{"title":"Performance Evaluation of Approximate Adders: Case Study","authors":"Y. Ykuntam, Bujjibabu Penumutchi, Bala Srinivas Peteti, Satyanarayana Vella","doi":"10.35940/ijeat.a3836.1012122","DOIUrl":"https://doi.org/10.35940/ijeat.a3836.1012122","url":null,"abstract":"A computing device designed to carry out a variety of arithmetic computations. The adder circuit, whose operation must be quick with a small area of occupancy, performs the addition, which is a necessary operation in many other mathematical operations including subtraction, multiplication, and division. There is a mandate for an adder circuit with minimal power consumption, minimal delay, and minimal size in various real-time applications such as processing of signals, pictures & video, VLSI data pathways, processors, neural networks, and many more. There is a new class of adders called approximation adders that operate inaccurately but with favorable area, speed, and power consumption. Since their output is inaccurate, the other names for approximate adders are imprecise adders. This set of adders operates at a high speed thanks to a circuit critical path design that uses fewer components. Additionally, compared to precise adders, the approximate adder circuit has a relatively low component count, resulting in a small footprint and circuits that use less energy. There are different ways to create approximate adders. The area can be predicted by counting the number of circuit components that are present. By examining a number of the critical path’s components, delay can be predicted. Several errors that appear in the output of the particular circuit can be used to calculate the accuracy percentage. This review compares approximate adders from four different categories across the board in terms of design constraints and makes note of the differences between each adder.","PeriodicalId":13981,"journal":{"name":"International Journal of Engineering and Advanced Technology","volume":"330 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77400587","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 : 2022-10-30DOI: 10.35940/ijeat.a3842.1012122
Teena Gupta, Rohit K.V.S.S
“Cloud” is a collective term for a large number of developments and possibilities. It is not an invention, but more of a “practical innovation”, combining several earlier inventions into something new and compelling. A cloud computing platform dynamically provisions, configures, reconfigures, and de provisions servers as needed [8]. Servers in the cloud can be physical machines or virtual machines. Security is a critical issue in cloud computing due to the variety of IT services that can be provided through a cloud environment. This paper focuses on the aspect of searching keywords over encrypted data while maintaining integrity of the data. Using a traditional algorithm like AES. Unlike traditional searching algorithms, here we try to implement a fuzzy logic which is based on a NLP technique called N gram. This fuzzy keyword searching significantly increases the efficiency and safety over cloud. This will keep the searching time efficient and acquire great results. The n-gram logic will be used to make sets of keywords which will used in the search implementation. To achieve more accurate results, Jaccard Coefficient will be used to find the similarity between the sets of keywords and rank them based on that. The purpose of this paper is to improve the traditional keyword search over encrypted data using cloud computing using advanced algorithms without compromising over security. Through rigorous security analysis, we show that our proposed solution is secure and maintains the privacy of the file server while efficiently using the fuzzy logic
{"title":"Fuzzy Keyword Search Over Encrypted Data using Cloud Computing","authors":"Teena Gupta, Rohit K.V.S.S","doi":"10.35940/ijeat.a3842.1012122","DOIUrl":"https://doi.org/10.35940/ijeat.a3842.1012122","url":null,"abstract":"“Cloud” is a collective term for a large number of developments and possibilities. It is not an invention, but more of a “practical innovation”, combining several earlier inventions into something new and compelling. A cloud computing platform dynamically provisions, configures, reconfigures, and de provisions servers as needed [8]. Servers in the cloud can be physical machines or virtual machines. Security is a critical issue in cloud computing due to the variety of IT services that can be provided through a cloud environment. This paper focuses on the aspect of searching keywords over encrypted data while maintaining integrity of the data. Using a traditional algorithm like AES. Unlike traditional searching algorithms, here we try to implement a fuzzy logic which is based on a NLP technique called N gram. This fuzzy keyword searching significantly increases the efficiency and safety over cloud. This will keep the searching time efficient and acquire great results. The n-gram logic will be used to make sets of keywords which will used in the search implementation. To achieve more accurate results, Jaccard Coefficient will be used to find the similarity between the sets of keywords and rank them based on that. The purpose of this paper is to improve the traditional keyword search over encrypted data using cloud computing using advanced algorithms without compromising over security. Through rigorous security analysis, we show that our proposed solution is secure and maintains the privacy of the file server while efficiently using the fuzzy logic","PeriodicalId":13981,"journal":{"name":"International Journal of Engineering and Advanced Technology","volume":"61 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79784959","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 : 2022-10-30DOI: 10.35940/ijeat.a3805.1012122
J. Jadon
The use of Robots is a trending technology but automation and Artificial Intelligence are not fully achieved till date. This paper aims to propose an innovative system to integrate human intelligence with Robotics. The robots which have been designed to work in harsh conditions are controlled using graphene-based flexible bend sensors. These sensors are applied to the human body and are powered by solar energy. Here a flexible sensor is applied on each bend on the human body and respective data of bend angle is transmitted to the raspberry pi 3 model B kits which are programmed to act accordingly and the same bend is obtained in the Robot. The sensor which we have used in this project removes the messy wiring and there is no need to wear any kind of suit. The required movements for the robot are produced by a human after applying the sensors on each joint. It looks like a pasting that is pasted across the joint. These sensors are made from a biocompatible material, thus does not have any dermatological ill effect on the operator. The graphene-based sensor has a subsequent role in robotics as they develop position matrices that determine the current position of various members of the humanoid robot. Robotic application demands sensors with a higher degree of repeatability, precision, and reliability which is obtained using the Graphene-based bend sensors. Each sensor is self-capable to carry out motion of one degree of motion. The use of an accelerometer attached along with the sensor helps to control the speed of robotic operation. This system is suitable to control the robot from a distance and uses it in critical conditions with the intelligence of the human being who is operating it, the rise in temperature leads to an increase in the time-lapse in command and action. But still, it can be treated as the substitute for artificially intelligent robots as we have not reached the level of intelligence in human beings. This work is based on the combined concepts of mechanical, computer, and electronics engineering.
{"title":"Operation of Wireless Humanoid Robot using Graphene Embedded Bend Sensor and Internet of Things Technology","authors":"J. Jadon","doi":"10.35940/ijeat.a3805.1012122","DOIUrl":"https://doi.org/10.35940/ijeat.a3805.1012122","url":null,"abstract":"The use of Robots is a trending technology but automation and Artificial Intelligence are not fully achieved till date. This paper aims to propose an innovative system to integrate human intelligence with Robotics. The robots which have been designed to work in harsh conditions are controlled using graphene-based flexible bend sensors. These sensors are applied to the human body and are powered by solar energy. Here a flexible sensor is applied on each bend on the human body and respective data of bend angle is transmitted to the raspberry pi 3 model B kits which are programmed to act accordingly and the same bend is obtained in the Robot. The sensor which we have used in this project removes the messy wiring and there is no need to wear any kind of suit. The required movements for the robot are produced by a human after applying the sensors on each joint. It looks like a pasting that is pasted across the joint. These sensors are made from a biocompatible material, thus does not have any dermatological ill effect on the operator. The graphene-based sensor has a subsequent role in robotics as they develop position matrices that determine the current position of various members of the humanoid robot. Robotic application demands sensors with a higher degree of repeatability, precision, and reliability which is obtained using the Graphene-based bend sensors. Each sensor is self-capable to carry out motion of one degree of motion. The use of an accelerometer attached along with the sensor helps to control the speed of robotic operation. This system is suitable to control the robot from a distance and uses it in critical conditions with the intelligence of the human being who is operating it, the rise in temperature leads to an increase in the time-lapse in command and action. But still, it can be treated as the substitute for artificially intelligent robots as we have not reached the level of intelligence in human beings. This work is based on the combined concepts of mechanical, computer, and electronics engineering.","PeriodicalId":13981,"journal":{"name":"International Journal of Engineering and Advanced Technology","volume":"10 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78509510","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 : 2022-10-30DOI: 10.35940/ijeat.a3800.1012122
Sai Hemanth Kumar V
Formula One is a track-based aerodynamic race between teams. In the design of motorsport cars, aerodynamics is crucial. When compared to the other race cars on the grid, the race car with the best aerodynamic performance performs well on the track and has a good lap time. The design of rear wing has significant influence on the performance of a race car as much of the downforce is provided by rear wing. Using structural and computational models, this paper tries to link the static and dynamic performance of a Formula 1 race car rear wing due to its deflection. Solidworks is used to design a rear wing model of an F-1 car, which is then transferred to Ansys. A speed of 300 kmph is considerd for the study as speed of F-1 cars range from 280 – 340 kmph on Straights. To determine the aerodynamic loadings on the model at 300 kmph, a fluid simulation is run in fluent. Turbulence model of Transition K- Kl- Omega was used. To determine deflection owing to the aerodynamic loads calculated, a structural analysis is performed in Ansys Static Structural. From structural analysis it is evident that deflection exists. Further computational simulations of deflected models about its center of gravity are performed to compare the effects of aeroelasticity of a race car’s rear wing. It is evident from the simulations that a 2 deflection in the wing resulted in a 3 % decrease in drag and a 4 % decrease in downforce which gives a higher performance gain in case of high-speed race cars.
{"title":"Deflection of Formula One Race Car Rear Wing using Numerical Simulations","authors":"Sai Hemanth Kumar V","doi":"10.35940/ijeat.a3800.1012122","DOIUrl":"https://doi.org/10.35940/ijeat.a3800.1012122","url":null,"abstract":"Formula One is a track-based aerodynamic race between teams. In the design of motorsport cars, aerodynamics is crucial. When compared to the other race cars on the grid, the race car with the best aerodynamic performance performs well on the track and has a good lap time. The design of rear wing has significant influence on the performance of a race car as much of the downforce is provided by rear wing. Using structural and computational models, this paper tries to link the static and dynamic performance of a Formula 1 race car rear wing due to its deflection. Solidworks is used to design a rear wing model of an F-1 car, which is then transferred to Ansys. A speed of 300 kmph is considerd for the study as speed of F-1 cars range from 280 – 340 kmph on Straights. To determine the aerodynamic loadings on the model at 300 kmph, a fluid simulation is run in fluent. Turbulence model of Transition K- Kl- Omega was used. To determine deflection owing to the aerodynamic loads calculated, a structural analysis is performed in Ansys Static Structural. From structural analysis it is evident that deflection exists. Further computational simulations of deflected models about its center of gravity are performed to compare the effects of aeroelasticity of a race car’s rear wing. It is evident from the simulations that a 2 deflection in the wing resulted in a 3 % decrease in drag and a 4 % decrease in downforce which gives a higher performance gain in case of high-speed race cars.","PeriodicalId":13981,"journal":{"name":"International Journal of Engineering and Advanced Technology","volume":"42 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88237545","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 : 2022-10-30DOI: 10.35940/ijeat.a3853.1012122
Anusha Verma Chandraju, Lydia J. Gnanasigamani
A medical case report gives medical researchers and healthcare providers a thorough account of the symptoms, treatment, and diagnosis of a specific patient. This clinical data is essential because they aid in diagnosing novel or uncommon illnesses, analyzing specific medical occurrences, and enhancing knowledge of current medical education. The summary of the medical case report is needed so that one can decide on further reading as going through the entire contents of a medical case report istime-consuming. In this paper, we present a deep learning methodology for the generation of the automatic summaries of the medical case reports. The final proposed fine-tuned summarizer on the test data set generated a mean precision of 0.4481 and Rouge-1 Score of 0.2803.
{"title":"Transformer-Based Abstract Generation of Medical Case Reports","authors":"Anusha Verma Chandraju, Lydia J. Gnanasigamani","doi":"10.35940/ijeat.a3853.1012122","DOIUrl":"https://doi.org/10.35940/ijeat.a3853.1012122","url":null,"abstract":"A medical case report gives medical researchers and healthcare providers a thorough account of the symptoms, treatment, and diagnosis of a specific patient. This clinical data is essential because they aid in diagnosing novel or uncommon illnesses, analyzing specific medical occurrences, and enhancing knowledge of current medical education. The summary of the medical case report is needed so that one can decide on further reading as going through the entire contents of a medical case report istime-consuming. In this paper, we present a deep learning methodology for the generation of the automatic summaries of the medical case reports. The final proposed fine-tuned summarizer on the test data set generated a mean precision of 0.4481 and Rouge-1 Score of 0.2803.","PeriodicalId":13981,"journal":{"name":"International Journal of Engineering and Advanced Technology","volume":"29 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83642637","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：