Pub Date : 2021-10-21DOI: 10.1109/ISMSIT52890.2021.9604565
K. Hristov
This research describes the opportunities of applying xPC Target software for remote control of physical objects and processes. For the analysis of the grades of the product a control structure of three phase AC/DC converter with sinusoidal consumption and bilateral energy exchange is being developed. Experimental results of studies under the control part are shown, which are processed with the multifunctional interface device for data acquisition NI-PCI 6221 with analog inputs and outputs.
{"title":"Approach for control of a Three-phase power converter with xPC Target Software","authors":"K. Hristov","doi":"10.1109/ISMSIT52890.2021.9604565","DOIUrl":"https://doi.org/10.1109/ISMSIT52890.2021.9604565","url":null,"abstract":"This research describes the opportunities of applying xPC Target software for remote control of physical objects and processes. For the analysis of the grades of the product a control structure of three phase AC/DC converter with sinusoidal consumption and bilateral energy exchange is being developed. Experimental results of studies under the control part are shown, which are processed with the multifunctional interface device for data acquisition NI-PCI 6221 with analog inputs and outputs.","PeriodicalId":120997,"journal":{"name":"2021 5th International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT)","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123528310","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 : 2021-10-21DOI: 10.1109/ISMSIT52890.2021.9604698
Zehra Ozkan, Erdem Bayhan, Mustafa Namdar, Arif Basgumus
In this study, the methods of deep learningbased detection and recognition of threats, evaluated in terms of military and defense industry, using Raspberry Pi platform by unmanned aerial vehicles (UAV) are presented. In the proposed approach, firstly, the training for machine learning on the objects is carried out using convolutional neural networks, which is one of the deep learning algorithms. By choosing the Faster-RCNN and SSD MobileNet V2 architectures of the deep learning method, it is aimed to compare the achievements of the accuracy at the end of the training. In order to be used in the training and testing stages of the recommended methods, data sets containing images selected from different weather, land conditions and different time periods of the day are determined. The model for the detection and recognition of the threatening elements is trained, using 3948 images. Then, the trained model was transferred to the Raspberry Pi 4 Model B electronic board. The method of detecting and recognizing the objects is tested with military operation images and records taken by the UAVs via Raspberry Pi Camera V2 module. While an accuracy rate of %91 has been achieved in the Faster-RCNN architecture in object detection and recognition, this rate has been observed as %88 in the SSD MobileNet V2 architecture.
在这项研究中，提出了基于深度学习的威胁检测和识别方法，在军事和国防工业方面进行了评估，使用树莓派平台的无人机(UAV)。在该方法中，首先使用深度学习算法之一的卷积神经网络对对象进行机器学习训练。通过选择深度学习方法的Faster-RCNN和SSD MobileNet V2架构，目的是比较训练结束时准确率的成果。为了在推荐方法的训练和测试阶段使用，需要确定包含来自不同天气、陆地条件和一天中不同时间段的图像的数据集。使用3948张图像训练了检测和识别威胁元素的模型。然后，将训练好的模型转移到Raspberry Pi 4 model B电子板上。通过树莓派相机V2模块，用无人机拍摄的军事行动图像和记录测试了检测和识别目标的方法。在Faster-RCNN架构中，目标检测和识别的准确率达到了%91，而在SSD MobileNet V2架构中，这一准确率达到了%88。
{"title":"Object Detection and Recognition of Unmanned Aerial Vehicles Using Raspberry Pi Platform","authors":"Zehra Ozkan, Erdem Bayhan, Mustafa Namdar, Arif Basgumus","doi":"10.1109/ISMSIT52890.2021.9604698","DOIUrl":"https://doi.org/10.1109/ISMSIT52890.2021.9604698","url":null,"abstract":"In this study, the methods of deep learningbased detection and recognition of threats, evaluated in terms of military and defense industry, using Raspberry Pi platform by unmanned aerial vehicles (UAV) are presented. In the proposed approach, firstly, the training for machine learning on the objects is carried out using convolutional neural networks, which is one of the deep learning algorithms. By choosing the Faster-RCNN and SSD MobileNet V2 architectures of the deep learning method, it is aimed to compare the achievements of the accuracy at the end of the training. In order to be used in the training and testing stages of the recommended methods, data sets containing images selected from different weather, land conditions and different time periods of the day are determined. The model for the detection and recognition of the threatening elements is trained, using 3948 images. Then, the trained model was transferred to the Raspberry Pi 4 Model B electronic board. The method of detecting and recognizing the objects is tested with military operation images and records taken by the UAVs via Raspberry Pi Camera V2 module. While an accuracy rate of %91 has been achieved in the Faster-RCNN architecture in object detection and recognition, this rate has been observed as %88 in the SSD MobileNet V2 architecture.","PeriodicalId":120997,"journal":{"name":"2021 5th International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124064007","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 : 2021-10-21DOI: 10.1109/ISMSIT52890.2021.9604701
Elham Pashaei
In this study, a new hybrid approach is suggested for medical image enhancement. The main idea is based on the hybrid of the guided filter and chaotic inertia weight black hole algorithm (GFCBH) to enhance and highlight the image information using a new objective function. GFCBH is a two-stage approach that, first, applies the guided filter to the input image which performs as an edge-preserving smoothing operator, and then, uses the CBH algorithm to automatically find optimal parameters for transformation function based on the objective function. In the proposed objective function, universal image quality index (Q), entropy, edge pixels, and gray level cooccurrence matrix (GLCM) based contrast and energy are considered to achieve the best-enhanced image. The experimental results are verified by comparison with ten well-known image enhancement techniques using entropy and peak signal-to-noise-ratio (PSNR) measurement criteria. The extensive experiments along with qualitative and quantitative evaluations show that the suggested method can successfully enhance images and performs better than most state-of-art techniques.
{"title":"Medical Image Enhancement using Guided Filtering and Chaotic Inertia Weight Black Hole Algorithm","authors":"Elham Pashaei","doi":"10.1109/ISMSIT52890.2021.9604701","DOIUrl":"https://doi.org/10.1109/ISMSIT52890.2021.9604701","url":null,"abstract":"In this study, a new hybrid approach is suggested for medical image enhancement. The main idea is based on the hybrid of the guided filter and chaotic inertia weight black hole algorithm (GFCBH) to enhance and highlight the image information using a new objective function. GFCBH is a two-stage approach that, first, applies the guided filter to the input image which performs as an edge-preserving smoothing operator, and then, uses the CBH algorithm to automatically find optimal parameters for transformation function based on the objective function. In the proposed objective function, universal image quality index (Q), entropy, edge pixels, and gray level cooccurrence matrix (GLCM) based contrast and energy are considered to achieve the best-enhanced image. The experimental results are verified by comparison with ten well-known image enhancement techniques using entropy and peak signal-to-noise-ratio (PSNR) measurement criteria. The extensive experiments along with qualitative and quantitative evaluations show that the suggested method can successfully enhance images and performs better than most state-of-art techniques.","PeriodicalId":120997,"journal":{"name":"2021 5th International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT)","volume":"329 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124640157","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 : 2021-10-21DOI: 10.1109/ISMSIT52890.2021.9604602
Lamir Shkurti, Faton Kabashi
In this paper, we proposed a system for the classification of different news in the Albanian language using the Multinomial Naïve Bayes and Logistic Regression algorithms. The system is web-based and developed with Python programing language and Flask web framework. For the classification of Albanian language news, we have used 70% of the dataset for training and 30% for tests. The result shows that our system can use for the classification of Albanian language news. The proposed Multinomial Naïve Bayes and Logistic Regression classifiers were analyzed and compared for the following evaluation parameters: Accuracy, Precision, Recall, F1-score, and Confusion Matrix. The obtained results showed that the Logistic Regression algorithm has higher accuracy compared to the Naïve Bayes Multinomial algorithm in the classification of news in the Albanian language.
{"title":"Albanian News Category Predictor System using a Multinomial Naïve Bayes and Logistic Regression Algorithms","authors":"Lamir Shkurti, Faton Kabashi","doi":"10.1109/ISMSIT52890.2021.9604602","DOIUrl":"https://doi.org/10.1109/ISMSIT52890.2021.9604602","url":null,"abstract":"In this paper, we proposed a system for the classification of different news in the Albanian language using the Multinomial Naïve Bayes and Logistic Regression algorithms. The system is web-based and developed with Python programing language and Flask web framework. For the classification of Albanian language news, we have used 70% of the dataset for training and 30% for tests. The result shows that our system can use for the classification of Albanian language news. The proposed Multinomial Naïve Bayes and Logistic Regression classifiers were analyzed and compared for the following evaluation parameters: Accuracy, Precision, Recall, F1-score, and Confusion Matrix. The obtained results showed that the Logistic Regression algorithm has higher accuracy compared to the Naïve Bayes Multinomial algorithm in the classification of news in the Albanian language.","PeriodicalId":120997,"journal":{"name":"2021 5th International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128318036","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 : 2021-10-21DOI: 10.1109/ISMSIT52890.2021.9604586
Sh. A. Anarova, Saidkulov Elyor Abdullaevich
The fractal shapes in the nature, their characteristics, also, opinions about fractal dimension are given in this article. The phenomena of geophysical origin of fractal geometric shapes and potential useful tools for describing complex shapes are illustrated. Despite, the fractals are widely used in geographical areas; the opinions which cause inconsistent results from different fractal computational algorithms have been expressed.Fractal dimension was firstly introduced as the coefficient which describes geometrically complex shapes, the details are considered more important than a completely drawen picture. The theoretical fractal dimension for sets which describes simple geometric shapes is equal to the usual Euclidean or topological dimension. The theoretical fractal dimension for sets which describe points, is equal to 0, the fractal dimension for sets which describe straight line with only length, is equal to 1, the fractal dimension for sets which describe surface, is equal to 2, and the fractal dimension for sets which describe volume, is equal to 3.
{"title":"Calculating Boundaries in Methods of Determination of Fractal Dimension","authors":"Sh. A. Anarova, Saidkulov Elyor Abdullaevich","doi":"10.1109/ISMSIT52890.2021.9604586","DOIUrl":"https://doi.org/10.1109/ISMSIT52890.2021.9604586","url":null,"abstract":"The fractal shapes in the nature, their characteristics, also, opinions about fractal dimension are given in this article. The phenomena of geophysical origin of fractal geometric shapes and potential useful tools for describing complex shapes are illustrated. Despite, the fractals are widely used in geographical areas; the opinions which cause inconsistent results from different fractal computational algorithms have been expressed.Fractal dimension was firstly introduced as the coefficient which describes geometrically complex shapes, the details are considered more important than a completely drawen picture. The theoretical fractal dimension for sets which describes simple geometric shapes is equal to the usual Euclidean or topological dimension. The theoretical fractal dimension for sets which describe points, is equal to 0, the fractal dimension for sets which describe straight line with only length, is equal to 1, the fractal dimension for sets which describe surface, is equal to 2, and the fractal dimension for sets which describe volume, is equal to 3.","PeriodicalId":120997,"journal":{"name":"2021 5th International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127419503","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 : 2021-10-21DOI: 10.1109/ISMSIT52890.2021.9604755
Habib Ghanbarpourasl, Gautham Gopan, Mohammed Shafi, S. M. Shalik Ershad, Mithileysh Sathiyanarayanan
Sensor fusion is a process that indirectly finds its way into various aspects of engineering without being a relevant observatory mark. This same feature of sensor fusion also applies to the GPS navigation sector. The pivotal aim of this research paper is to analyze and demonstrate various ingenious advantages of incorporating sensor fusion with various existing systems regardless of their respective field of operations. Further, paper focuses on the importance of giving more priority to the algorithms and software that ensure smooth working of the sensors rather than heavily investing on more expensive hardware resources. Algorithms like the Kalman filter play a major role in the field of sensor fusion and can be easily integrated with the existing algorithm’s used in modern day GPS navigation systems. Mainly, the explanations provided in this paper are revolving around the aircraft industry with important focus given to Military-based Aircrafts. Finally, the paper includes various simulations that focuses on replicating the movement of aircrafts in real-world scenarios and study various advantages and side effects of using a system that is the resultant of the fusion between an IMU and GPS sensor thereby overcoming the limitations of the existing GPS-based Navigation.
{"title":"Integration of Sensor Fusion for Enhancing GPS Navigation","authors":"Habib Ghanbarpourasl, Gautham Gopan, Mohammed Shafi, S. M. Shalik Ershad, Mithileysh Sathiyanarayanan","doi":"10.1109/ISMSIT52890.2021.9604755","DOIUrl":"https://doi.org/10.1109/ISMSIT52890.2021.9604755","url":null,"abstract":"Sensor fusion is a process that indirectly finds its way into various aspects of engineering without being a relevant observatory mark. This same feature of sensor fusion also applies to the GPS navigation sector. The pivotal aim of this research paper is to analyze and demonstrate various ingenious advantages of incorporating sensor fusion with various existing systems regardless of their respective field of operations. Further, paper focuses on the importance of giving more priority to the algorithms and software that ensure smooth working of the sensors rather than heavily investing on more expensive hardware resources. Algorithms like the Kalman filter play a major role in the field of sensor fusion and can be easily integrated with the existing algorithm’s used in modern day GPS navigation systems. Mainly, the explanations provided in this paper are revolving around the aircraft industry with important focus given to Military-based Aircrafts. Finally, the paper includes various simulations that focuses on replicating the movement of aircrafts in real-world scenarios and study various advantages and side effects of using a system that is the resultant of the fusion between an IMU and GPS sensor thereby overcoming the limitations of the existing GPS-based Navigation.","PeriodicalId":120997,"journal":{"name":"2021 5th International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT)","volume":"979 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127535757","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 : 2021-10-21DOI: 10.1109/ISMSIT52890.2021.9604594
Güneş Güçlü, Ahmed Al-Dulaimi
The COVID-19 virus that began in late December 2019 continues to spread rapidly in many countries around the world. Due to its contagious and fast-spreading nature, it causes great harm to countries economically, medically, socially and in all other areas. Therefore, it is imperative to predict the evolution and spread of the epidemic. By understanding the trend of developing confirmed cases in an area, governments can control the epidemic by launching appropriate plans and instructions.Many scientists have tried to predict the number of cases using traditional mathematical techniques; however, the common traditional mathematical differential equations have limitations in estimating cases numbers in time series data and even have major errors in estimation. To solve this problem, we propose an improved method for predicting validated states based on the LSTM (long-term memory) neural network.Since the traditional prediction models predict the number of cumulative cases only, so they expect that the rate of infections will always rise and they cannot predict when the spread of the virus will decrease or end, so our model is built on short-term memory that predicts the number of daily cases but not the number of cumulative cases (LSTM).
{"title":"Estimating and analyzing the spread of Covid-19 in Turkey using Long Short-Term Memory","authors":"Güneş Güçlü, Ahmed Al-Dulaimi","doi":"10.1109/ISMSIT52890.2021.9604594","DOIUrl":"https://doi.org/10.1109/ISMSIT52890.2021.9604594","url":null,"abstract":"The COVID-19 virus that began in late December 2019 continues to spread rapidly in many countries around the world. Due to its contagious and fast-spreading nature, it causes great harm to countries economically, medically, socially and in all other areas. Therefore, it is imperative to predict the evolution and spread of the epidemic. By understanding the trend of developing confirmed cases in an area, governments can control the epidemic by launching appropriate plans and instructions.Many scientists have tried to predict the number of cases using traditional mathematical techniques; however, the common traditional mathematical differential equations have limitations in estimating cases numbers in time series data and even have major errors in estimation. To solve this problem, we propose an improved method for predicting validated states based on the LSTM (long-term memory) neural network.Since the traditional prediction models predict the number of cumulative cases only, so they expect that the rate of infections will always rise and they cannot predict when the spread of the virus will decrease or end, so our model is built on short-term memory that predicts the number of daily cases but not the number of cumulative cases (LSTM).","PeriodicalId":120997,"journal":{"name":"2021 5th International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130017628","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 : 2021-10-21DOI: 10.1109/ISMSIT52890.2021.9604738
Ekrem Yildiz, Ege Burak Safdil, Furkan Arslan, H. F. Alsan, Taner Arsan
This paper creates a multimodal retrieval system for image and text data in a multi-type learning approach that enables text-to-image, image-to-text, text-to-text, and image-to-image retrievals. As a practical solution, a mobile application is developed in which the users can upload their images to search a description sentence for the images. The user system is created on the application, which is done with React Native, and crucial features like e-mail authentication and reset password options are added to the application. An essential database system is designed with PostgreSQL to store user information and search for the user. The multimodal embedding study is worked, and the model that recognizes multitype retrievals is formed. The image-to-text retrieval model, which is our application’s idea, is applied to the mobile application.
{"title":"Multitype Learning via Multimodal Data Embedding","authors":"Ekrem Yildiz, Ege Burak Safdil, Furkan Arslan, H. F. Alsan, Taner Arsan","doi":"10.1109/ISMSIT52890.2021.9604738","DOIUrl":"https://doi.org/10.1109/ISMSIT52890.2021.9604738","url":null,"abstract":"This paper creates a multimodal retrieval system for image and text data in a multi-type learning approach that enables text-to-image, image-to-text, text-to-text, and image-to-image retrievals. As a practical solution, a mobile application is developed in which the users can upload their images to search a description sentence for the images. The user system is created on the application, which is done with React Native, and crucial features like e-mail authentication and reset password options are added to the application. An essential database system is designed with PostgreSQL to store user information and search for the user. The multimodal embedding study is worked, and the model that recognizes multitype retrievals is formed. The image-to-text retrieval model, which is our application’s idea, is applied to the mobile application.","PeriodicalId":120997,"journal":{"name":"2021 5th International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT)","volume":"121 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130146034","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 : 2021-10-21DOI: 10.1109/ISMSIT52890.2021.9604708
Baumgart Matthias, Hösel Claudia, Breck Dominik, M. Vodel, Roschke Christian, Ritter Marc
For the current requirements in knowledge and technology transfer, solutions exist that focus exclusively on certain areas and no longer do justice to today's complexity. For example, research information systems primarily offer a marketing function, and transfer and idea portals offer a possibility for collecting and exploiting ideas that requires a great deal of human resources. This paper deals with the design of a framework that links existing systems and approaches in a meaningful way and, based on the findings of innovation research, improves the co-creative collaboration of actors from science, business and society in an it-based way. Therefore, the authors propose the CCDTP-framework based on a requirements analysis.
{"title":"A Framework for a Co-Creation Driven Research & Transfer Portal (CCDTP-Framework)","authors":"Baumgart Matthias, Hösel Claudia, Breck Dominik, M. Vodel, Roschke Christian, Ritter Marc","doi":"10.1109/ISMSIT52890.2021.9604708","DOIUrl":"https://doi.org/10.1109/ISMSIT52890.2021.9604708","url":null,"abstract":"For the current requirements in knowledge and technology transfer, solutions exist that focus exclusively on certain areas and no longer do justice to today's complexity. For example, research information systems primarily offer a marketing function, and transfer and idea portals offer a possibility for collecting and exploiting ideas that requires a great deal of human resources. This paper deals with the design of a framework that links existing systems and approaches in a meaningful way and, based on the findings of innovation research, improves the co-creative collaboration of actors from science, business and society in an it-based way. Therefore, the authors propose the CCDTP-framework based on a requirements analysis.","PeriodicalId":120997,"journal":{"name":"2021 5th International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129165440","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 : 2021-10-21DOI: 10.1109/ISMSIT52890.2021.9604564
Huda I. Hamd, Marwa Al-Sultani, Zainab Najeeb Abduahameed Al-Rawi
RCS has an important role in discovered or identified data for target designation. Each target has a unique signature utilizing to recognize the structure kind that will test. The monostatic radar uses a single antenna because it reduces the scattering of signals for a specific polarization. Moreover, it receives and transmits in the same location. There are many applications utilizing the Square patch antenna (SPA) such as microwave systems, space applications and .... etc. This paper is designing and simulating the SAP in 2.4 GHz frequency also it is used as a target to determine RCS area by utilizing CST software version 2014. Furthermore, the designed antenna is modeled and simulated for various kinds of substrate material (FR4, RT- Roger 5880, Taconic, Baklite, and DuPont-951). The radar cross-section of monostatic radar is simulated at 3-13 GHz and the incident angles utilized from (0,60, and 90) degrees. Finally, the simulation result appears that the best RCS of the designed antenna with the substrate dielectric material (Dupont -951) is around -26 m2 at the incident angle θ =0°.
RCS在发现或识别数据以指定目标方面具有重要作用。每个目标都有一个独特的签名，用于识别将要测试的结构类型。单基地雷达使用单天线，因为它减少了特定极化信号的散射。此外，它在同一位置接收和发送。有许多应用利用方形贴片天线(SPA)，如微波系统，空间应用和....等。本文利用2014版CST软件对2.4 GHz频率下的SAP进行了设计和仿真，并将其作为确定RCS面积的目标。此外，对所设计的天线进行了多种衬底材料(FR4、RT- Roger 5880、Taconic、Baklite和DuPont-951)的建模和仿真。模拟了单站雷达在3-13 GHz和(0、60和90)度入射角下的雷达截面。仿真结果表明，在入射角θ =0°时，衬底介质材料为杜邦-951的天线的最佳RCS为-26 m2左右。
{"title":"Influence Different Dielectric Materials For Square Patch Antenna on RCS","authors":"Huda I. Hamd, Marwa Al-Sultani, Zainab Najeeb Abduahameed Al-Rawi","doi":"10.1109/ISMSIT52890.2021.9604564","DOIUrl":"https://doi.org/10.1109/ISMSIT52890.2021.9604564","url":null,"abstract":"RCS has an important role in discovered or identified data for target designation. Each target has a unique signature utilizing to recognize the structure kind that will test. The monostatic radar uses a single antenna because it reduces the scattering of signals for a specific polarization. Moreover, it receives and transmits in the same location. There are many applications utilizing the Square patch antenna (SPA) such as microwave systems, space applications and .... etc. This paper is designing and simulating the SAP in 2.4 GHz frequency also it is used as a target to determine RCS area by utilizing CST software version 2014. Furthermore, the designed antenna is modeled and simulated for various kinds of substrate material (FR4, RT- Roger 5880, Taconic, Baklite, and DuPont-951). The radar cross-section of monostatic radar is simulated at 3-13 GHz and the incident angles utilized from (0,60, and 90) degrees. Finally, the simulation result appears that the best RCS of the designed antenna with the substrate dielectric material (Dupont -951) is around -26 m2 at the incident angle θ =0°.","PeriodicalId":120997,"journal":{"name":"2021 5th International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130555402","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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