Pub Date : 2021-06-11DOI: 10.1109/HORA52670.2021.9461384
A. Duru, K. Ileri
RLC circuits are fundamental topics for engineering undergraduate students especially in electrical and electronics majors, and they have numerous applications to design electrical circuits. Medical devices, mobile phones, computers, FM radios, and TVs are just a few examples that use different forms of RLC circuits. Although the circuits are very useful for an intended application, step-by-step calculations must be done to analyze the behavior of each component in the circuitry. In this study, a mobile application was developed to catch the difference between two types of RLC circuits, series and parallel, and understand the effects of each components’ value change by checking simulation results.
{"title":"Implementation of a Mobile Application for Teaching and Analyzing RLC Circuits","authors":"A. Duru, K. Ileri","doi":"10.1109/HORA52670.2021.9461384","DOIUrl":"https://doi.org/10.1109/HORA52670.2021.9461384","url":null,"abstract":"RLC circuits are fundamental topics for engineering undergraduate students especially in electrical and electronics majors, and they have numerous applications to design electrical circuits. Medical devices, mobile phones, computers, FM radios, and TVs are just a few examples that use different forms of RLC circuits. Although the circuits are very useful for an intended application, step-by-step calculations must be done to analyze the behavior of each component in the circuitry. In this study, a mobile application was developed to catch the difference between two types of RLC circuits, series and parallel, and understand the effects of each components’ value change by checking simulation results.","PeriodicalId":270469,"journal":{"name":"2021 3rd International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126551702","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 whole planet today is having to fight COVID-19 with big obstacles. The COVID-19 influenced several countries around the world between December 2019 and the present day. Many organisations and scientists seek to find a vaccine and to minimize the spread of COVID-19. Artificial Intelligence is one technology that can successfully address this virus (AI). In the case of other pathogens, artificial intelligence performed very well and could help us cope with the virus COVID-19, too. It is the imagination and the information of the people who use it which will help to overcome this dilemma. In some previous instances AI played a major role in virus prevention and identification. We have an ability to detect certain aspects of the AI because of the COVID-19 crisis. Machine learning that an AI subclass is used to identify patterns and to plan valuable knowledge based on recorded data sets. At the point where used entirely, AI can exceed human efforts by speed and differentiate designs from knowledge previously ignored. However many correct and appropriate data are needed for effective implementation of AI systems. This paper discusses the AI's role in COVID-19 prevention and detection and examines numerous technological aspects of AI. This paper would also clarify where AI will contribute with likely solutions to stop the spread of COVID-19.
{"title":"The Avoidance And Detection Function Of Artificial Intelligence In Covid-19","authors":"Alaa Amjed Abdulateef, Alaa Hamid Mohammed, Ihsan Amjad Abdulateef","doi":"10.1109/HORA52670.2021.9461280","DOIUrl":"https://doi.org/10.1109/HORA52670.2021.9461280","url":null,"abstract":"The whole planet today is having to fight COVID-19 with big obstacles. The COVID-19 influenced several countries around the world between December 2019 and the present day. Many organisations and scientists seek to find a vaccine and to minimize the spread of COVID-19. Artificial Intelligence is one technology that can successfully address this virus (AI). In the case of other pathogens, artificial intelligence performed very well and could help us cope with the virus COVID-19, too. It is the imagination and the information of the people who use it which will help to overcome this dilemma. In some previous instances AI played a major role in virus prevention and identification. We have an ability to detect certain aspects of the AI because of the COVID-19 crisis. Machine learning that an AI subclass is used to identify patterns and to plan valuable knowledge based on recorded data sets. At the point where used entirely, AI can exceed human efforts by speed and differentiate designs from knowledge previously ignored. However many correct and appropriate data are needed for effective implementation of AI systems. This paper discusses the AI's role in COVID-19 prevention and detection and examines numerous technological aspects of AI. This paper would also clarify where AI will contribute with likely solutions to stop the spread of COVID-19.","PeriodicalId":270469,"journal":{"name":"2021 3rd International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126801110","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 : 2021-06-11DOI: 10.1109/HORA52670.2021.9461273
H. Altunay, Zafer Albayrak, A. Özalp, Muhammet Çakmak
Supervisory control and data acquisition (SCADA) systems are used with monitoring and control purposes for the process not to fail in industrial control systems. Today, the increase in the use of standard protocols, hardware, and software in the SCADA systems that can connect to the internet and institutional networks causes these systems to become a target for more cyber-attacks. Intrusion detection systems are used to reduce or minimize cyber-attack threats. The use of deep learning-based intrusion detection systems also increases in parallel with the increase in the amount of data in the SCADA systems. The unsupervised feature learning present in the deep learning approaches enables the learning of important features within the large datasets. The features learned in an unsupervised way by using deep learning techniques are used in order to classify the data as normal or abnormal. Architectures such as convolutional neural network (CNN), Autoencoder (AE), deep belief network (DBN), and long short-term memory network (LSTM) are used to learn the features of SCADA data. These architectures use softmax function, extreme learning machine (ELM), deep belief networks, and multilayer perceptron (MLP) in the classification process. In this study, anomaly-based intrusion detection systems consisting of convolutional neural network, autoencoder, deep belief network, long short-term memory network, or various combinations of these methods on the SCADA networks in the literature were analyzed and the positive and negative aspects of these approaches were explained through their attack detection performances.
{"title":"Analysis of Anomaly Detection Approaches Performed Through Deep Learning Methods in SCADA Systems","authors":"H. Altunay, Zafer Albayrak, A. Özalp, Muhammet Çakmak","doi":"10.1109/HORA52670.2021.9461273","DOIUrl":"https://doi.org/10.1109/HORA52670.2021.9461273","url":null,"abstract":"Supervisory control and data acquisition (SCADA) systems are used with monitoring and control purposes for the process not to fail in industrial control systems. Today, the increase in the use of standard protocols, hardware, and software in the SCADA systems that can connect to the internet and institutional networks causes these systems to become a target for more cyber-attacks. Intrusion detection systems are used to reduce or minimize cyber-attack threats. The use of deep learning-based intrusion detection systems also increases in parallel with the increase in the amount of data in the SCADA systems. The unsupervised feature learning present in the deep learning approaches enables the learning of important features within the large datasets. The features learned in an unsupervised way by using deep learning techniques are used in order to classify the data as normal or abnormal. Architectures such as convolutional neural network (CNN), Autoencoder (AE), deep belief network (DBN), and long short-term memory network (LSTM) are used to learn the features of SCADA data. These architectures use softmax function, extreme learning machine (ELM), deep belief networks, and multilayer perceptron (MLP) in the classification process. In this study, anomaly-based intrusion detection systems consisting of convolutional neural network, autoencoder, deep belief network, long short-term memory network, or various combinations of these methods on the SCADA networks in the literature were analyzed and the positive and negative aspects of these approaches were explained through their attack detection performances.","PeriodicalId":270469,"journal":{"name":"2021 3rd International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA)","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126579167","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 : 2021-06-11DOI: 10.1109/HORA52670.2021.9461349
Koray Kavlak, I. Kartal
Multi legged robots and mechanisms are successfully used in spatial studies, first aid and search and rescue activities in disasters such as earthquakes, defense industry, detection and destruction of explosive materials such as mines and bombs, counter-terrorism, mining, medicine and many other fields. This success depends on the realization of the mechanism design that will enable the robot to be controlled much more easily and to create a model that can control itself by minimizing the amount of energy consumed. In this paper, the ideal coupler curve was drawn using the Cinderalla program for the mobile robot with Strandbeest walking mechanism to move on a smooth surface and the link distances that provided this curve were determined. Then, different coupler curves were drawn by making changes in the link distances in order to overcome the set type obstacle. Solid modelling of the robot was done in the SolidWorks program. Simulations were also made in the Algodoo program to overcome the set type obstacle.
{"title":"Design of Mobile Robot with Strandbeest Walking Mechanism to Overcome the Set Type Obstacle","authors":"Koray Kavlak, I. Kartal","doi":"10.1109/HORA52670.2021.9461349","DOIUrl":"https://doi.org/10.1109/HORA52670.2021.9461349","url":null,"abstract":"Multi legged robots and mechanisms are successfully used in spatial studies, first aid and search and rescue activities in disasters such as earthquakes, defense industry, detection and destruction of explosive materials such as mines and bombs, counter-terrorism, mining, medicine and many other fields. This success depends on the realization of the mechanism design that will enable the robot to be controlled much more easily and to create a model that can control itself by minimizing the amount of energy consumed. In this paper, the ideal coupler curve was drawn using the Cinderalla program for the mobile robot with Strandbeest walking mechanism to move on a smooth surface and the link distances that provided this curve were determined. Then, different coupler curves were drawn by making changes in the link distances in order to overcome the set type obstacle. Solid modelling of the robot was done in the SolidWorks program. Simulations were also made in the Algodoo program to overcome the set type obstacle.","PeriodicalId":270469,"journal":{"name":"2021 3rd International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114340460","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 : 2021-06-11DOI: 10.1109/HORA52670.2021.9461305
Jan-Philipp Kress, A. Morgado-Estevez, F. Perez-Peña, K. Schmidt, Hektor Hebert
The precise measurement and processing of dynamic vehicle data lays the foundation for modern active safety systems and driver assistance systems for automobiles and two-wheelers. For the determination of the longitudinal vehicle dynamics, sensing the wheel speed is one elementary measured quantity. This paper proposes a Hardware in the Loop (HiL) test bench that is used for the development and evaluation of a velocity measurement, consisting of two redundant magneto-resistive sensor elements and an encoder disk. This is intended to precisely determine the vehicle velocity on the rear axle (single axis) of scooters with an engine displacement of 50 cubic centimeters. Therefore, a stepper motor powers the encoder disk on which two sensors are placed. An Electronic Control Unit (ECU) manages the measurement, the motor control, the Human Machine Interface (HMI) and the real-time communication through a serial interface to the computer, running the simulation. To represent the virtual test vehicle, the mathematical model is integrated into Matlab Simulink. The test bench was developed under the criteria of low cost, small size and different operating modes.
{"title":"Development of single-Axis Wheel Speed Sensor HiL Test Bench for Vehicle Velocity Control","authors":"Jan-Philipp Kress, A. Morgado-Estevez, F. Perez-Peña, K. Schmidt, Hektor Hebert","doi":"10.1109/HORA52670.2021.9461305","DOIUrl":"https://doi.org/10.1109/HORA52670.2021.9461305","url":null,"abstract":"The precise measurement and processing of dynamic vehicle data lays the foundation for modern active safety systems and driver assistance systems for automobiles and two-wheelers. For the determination of the longitudinal vehicle dynamics, sensing the wheel speed is one elementary measured quantity. This paper proposes a Hardware in the Loop (HiL) test bench that is used for the development and evaluation of a velocity measurement, consisting of two redundant magneto-resistive sensor elements and an encoder disk. This is intended to precisely determine the vehicle velocity on the rear axle (single axis) of scooters with an engine displacement of 50 cubic centimeters. Therefore, a stepper motor powers the encoder disk on which two sensors are placed. An Electronic Control Unit (ECU) manages the measurement, the motor control, the Human Machine Interface (HMI) and the real-time communication through a serial interface to the computer, running the simulation. To represent the virtual test vehicle, the mathematical model is integrated into Matlab Simulink. The test bench was developed under the criteria of low cost, small size and different operating modes.","PeriodicalId":270469,"journal":{"name":"2021 3rd International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131642752","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 : 2021-06-11DOI: 10.1109/HORA52670.2021.9461348
V. Gasimov, Adil Nastakalov
The article is devoted to the problem of quantitative assessment of the sustainability of communication channels or, more precisely, the sustainability of communication between two neighboring network nodes built on the basis of computer technology. Here, in order to achieve more accurate results, the process of assessing the quality of communication is carried out by determining the probability of its break within one segment. To carry out the calculations, network segments that are popular in practice are considered, where a different number of devices and communication lines are used. For this purpose, the article analyzes various models of network segments and examines the assessment of their stability. In particular, the “ 1x1” model is considered, built on one network device on each side and a plurality of communication lines between them; a “lx2” model built using one network device on one side and two network devices on the other side with two communication lines; and a 2x2” model built using two network devices on each side and four communication lines. It also compares the ring topology of the network- the”lxlxl” network model consisting of three elements, with these segment models. Finally, the optimal structure of complex networks located over a large geographical area is proposed in terms of sustainability and efficiency.
{"title":"Assessment of the sustainability of communication networks built on the basis of computer networks","authors":"V. Gasimov, Adil Nastakalov","doi":"10.1109/HORA52670.2021.9461348","DOIUrl":"https://doi.org/10.1109/HORA52670.2021.9461348","url":null,"abstract":"The article is devoted to the problem of quantitative assessment of the sustainability of communication channels or, more precisely, the sustainability of communication between two neighboring network nodes built on the basis of computer technology. Here, in order to achieve more accurate results, the process of assessing the quality of communication is carried out by determining the probability of its break within one segment. To carry out the calculations, network segments that are popular in practice are considered, where a different number of devices and communication lines are used. For this purpose, the article analyzes various models of network segments and examines the assessment of their stability. In particular, the “ 1x1” model is considered, built on one network device on each side and a plurality of communication lines between them; a “lx2” model built using one network device on one side and two network devices on the other side with two communication lines; and a 2x2” model built using two network devices on each side and four communication lines. It also compares the ring topology of the network- the”lxlxl” network model consisting of three elements, with these segment models. Finally, the optimal structure of complex networks located over a large geographical area is proposed in terms of sustainability and efficiency.","PeriodicalId":270469,"journal":{"name":"2021 3rd International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132951757","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 : 2021-06-11DOI: 10.1109/HORA52670.2021.9461367
F. O. Babalola, Önsen Toygar, Y. Bi̇ti̇ri̇m
A wrist vein recognition system is proposed in this paper. The system combines three texture-based feature descriptors, namely, multiple filters of Binarized Statistical Image Features (M-BSIF), 2D Gabor filter, and Histogram of Gradient orientation by Decision-Level Fusion. The method was tested on two publicly available datasets obtained from FYO and PUT databases. The proposed method outperforms the individual descriptors and achieves 95.63% and 93.92% accuracies on FYO and PUT databases, respectively.
{"title":"Wrist Vein Recognition by Fusion of Multiple Handcrafted Methods","authors":"F. O. Babalola, Önsen Toygar, Y. Bi̇ti̇ri̇m","doi":"10.1109/HORA52670.2021.9461367","DOIUrl":"https://doi.org/10.1109/HORA52670.2021.9461367","url":null,"abstract":"A wrist vein recognition system is proposed in this paper. The system combines three texture-based feature descriptors, namely, multiple filters of Binarized Statistical Image Features (M-BSIF), 2D Gabor filter, and Histogram of Gradient orientation by Decision-Level Fusion. The method was tested on two publicly available datasets obtained from FYO and PUT databases. The proposed method outperforms the individual descriptors and achieves 95.63% and 93.92% accuracies on FYO and PUT databases, respectively.","PeriodicalId":270469,"journal":{"name":"2021 3rd International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124835207","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 : 2021-06-11DOI: 10.1109/HORA52670.2021.9461355
Georgi V. Hristov, Diyana Kinaneva
In this paper the authors describe the main pipeline followed when developing a game assets for video games. In our days games industry has a huge popularity and even conquer with Hollywood and movie industries. Game developers and artists can make things looking realistic which significantly reduce the efforts of creating spectacular movies. Behind every impressive game there are thousands of hours of hard work done by various designers – concept artists, 3D modelers, texture artists, lighting artists, animators, motion capture actors, sound designers, voice actors and their composers.
{"title":"A Workflow for Developing Game Assets for Video Games","authors":"Georgi V. Hristov, Diyana Kinaneva","doi":"10.1109/HORA52670.2021.9461355","DOIUrl":"https://doi.org/10.1109/HORA52670.2021.9461355","url":null,"abstract":"In this paper the authors describe the main pipeline followed when developing a game assets for video games. In our days games industry has a huge popularity and even conquer with Hollywood and movie industries. Game developers and artists can make things looking realistic which significantly reduce the efforts of creating spectacular movies. Behind every impressive game there are thousands of hours of hard work done by various designers – concept artists, 3D modelers, texture artists, lighting artists, animators, motion capture actors, sound designers, voice actors and their composers.","PeriodicalId":270469,"journal":{"name":"2021 3rd International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123001331","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 : 2021-06-11DOI: 10.1109/HORA52670.2021.9461365
S. Takhirov, R. Kayen
A collection of points representing an object in space is commonly called a point cloud. There are several techniques for collecting point clouds. This research is focused on a comparison study of two approaches: (1) collecting point clouds with a surveying grade terrestrial laser scanner (TLS) and (2) generating point clouds from drone-taken still images by utilizing Structure-from-Motion (SFM) technique. The paper’s main objective is to compare the generated point clouds to each other and show the advantages and disadvantages of both techniques for structural health monitoring of bridges. To achieve the goal of the paper, we selected a pedestrian bridge for a comparison study. For simplicity, the study was limited to a single-span bridge. The bridge we studied is a composite steel and reinforced concrete (RC) bridge with a curved deck. A terrestrial laser scanner was used to scan the bridge from several positions, and point clouds were registered based on point-cloud to point-cloud matching. No targets were used during the collection of the point clouds by the laser scanner. In addition, still images of both bridges were taken by a drone. Based on a quantitative comparison of the results, the paper discusses the pros and cons of both approaches.
{"title":"Point Clouds of Bridge Generated by Terrestrial Laser Scanner and Images via Structure from Motion Technique: Comparison Study","authors":"S. Takhirov, R. Kayen","doi":"10.1109/HORA52670.2021.9461365","DOIUrl":"https://doi.org/10.1109/HORA52670.2021.9461365","url":null,"abstract":"A collection of points representing an object in space is commonly called a point cloud. There are several techniques for collecting point clouds. This research is focused on a comparison study of two approaches: (1) collecting point clouds with a surveying grade terrestrial laser scanner (TLS) and (2) generating point clouds from drone-taken still images by utilizing Structure-from-Motion (SFM) technique. The paper’s main objective is to compare the generated point clouds to each other and show the advantages and disadvantages of both techniques for structural health monitoring of bridges. To achieve the goal of the paper, we selected a pedestrian bridge for a comparison study. For simplicity, the study was limited to a single-span bridge. The bridge we studied is a composite steel and reinforced concrete (RC) bridge with a curved deck. A terrestrial laser scanner was used to scan the bridge from several positions, and point clouds were registered based on point-cloud to point-cloud matching. No targets were used during the collection of the point clouds by the laser scanner. In addition, still images of both bridges were taken by a drone. Based on a quantitative comparison of the results, the paper discusses the pros and cons of both approaches.","PeriodicalId":270469,"journal":{"name":"2021 3rd International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128899162","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 : 2021-06-11DOI: 10.1109/HORA52670.2021.9461393
Sezgin Yolcu, M. Akdağ
Fixed-wing vertical take-off and landing (VTOL) unmanned aerial vehicle (UAV)s are designed to combine the advantages of multi-rotor UAVs and fixed-wing UAVs in different flight phases in a single UAV. Fixed-wing VTOL UAVs can achieve the mobility of multi-rotor UAVs in hovering, vertical take-off and landing flight phases. Since fixed-wing UAVs are known for their efficiency in power consumption, fixed-wing VTOL UAVs were created to efficiently perform the cruise phase of the flight for a similar reason. In this paper, we made the conceptual design of a fixed-wing VTOL UAV which is called “DOGA”. The mission of DOGA is to carry 0.5 kg. payload. Firstly, maximum take-off weight was calculated, and then the airfoil profile, wings geometry, and the propulsion systems were determined. Also, design and performance parameters of DOGA were calculated. As a result, conceptual design of DOGA was completed and all the needed parameters for the detail design of the fixed-wing VTOL UAV were derived.
{"title":"Conceptual Design of a Cargo UAV That Can Take-off and Land Vertically","authors":"Sezgin Yolcu, M. Akdağ","doi":"10.1109/HORA52670.2021.9461393","DOIUrl":"https://doi.org/10.1109/HORA52670.2021.9461393","url":null,"abstract":"Fixed-wing vertical take-off and landing (VTOL) unmanned aerial vehicle (UAV)s are designed to combine the advantages of multi-rotor UAVs and fixed-wing UAVs in different flight phases in a single UAV. Fixed-wing VTOL UAVs can achieve the mobility of multi-rotor UAVs in hovering, vertical take-off and landing flight phases. Since fixed-wing UAVs are known for their efficiency in power consumption, fixed-wing VTOL UAVs were created to efficiently perform the cruise phase of the flight for a similar reason. In this paper, we made the conceptual design of a fixed-wing VTOL UAV which is called “DOGA”. The mission of DOGA is to carry 0.5 kg. payload. Firstly, maximum take-off weight was calculated, and then the airfoil profile, wings geometry, and the propulsion systems were determined. Also, design and performance parameters of DOGA were calculated. As a result, conceptual design of DOGA was completed and all the needed parameters for the detail design of the fixed-wing VTOL UAV were derived.","PeriodicalId":270469,"journal":{"name":"2021 3rd International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115188570","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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