Pub Date : 2023-04-05DOI: 10.1109/ICEEICT56924.2023.10156901
F. Sharon, Asnath Victy Phamila Y, G. S
Weather forecasting and weather warnings are used to protect human lives and property. Temperature, Outlook, Humidity, and Wind forecasts are critical for farmers, as well as traders in product markets. Since weather data analytics necessitates extreme precision, high-performance computing is required to handle the massive amount of data. The significant variability of climatic observations obtained in a day makes weather forecasting difficult. The objective of this project is to forecast the weather parameters for the next 24 hours using Auto ARIMA model and to use machine learning techniques to reliably predict the weather. Machine learning predicts the weather conditions for the day using strong and highly significant results based on current data. A cost effective IoT frame work is designed to read the real time input using sensors integrated with Arduino platform. By inputting average temperature, humidity, pressure, and other variables, decision trees and the Random Forest Algorithm will be utilized to predict events such as fog, rain, dry, windy, clear, breezy, and thunder. The algorithm is evaluated based on various performance metrics that include precision, recall, F score and accuracy.
{"title":"IoT Framework for Real Time Weather Monitoring using Machine Learning Techniques","authors":"F. Sharon, Asnath Victy Phamila Y, G. S","doi":"10.1109/ICEEICT56924.2023.10156901","DOIUrl":"https://doi.org/10.1109/ICEEICT56924.2023.10156901","url":null,"abstract":"Weather forecasting and weather warnings are used to protect human lives and property. Temperature, Outlook, Humidity, and Wind forecasts are critical for farmers, as well as traders in product markets. Since weather data analytics necessitates extreme precision, high-performance computing is required to handle the massive amount of data. The significant variability of climatic observations obtained in a day makes weather forecasting difficult. The objective of this project is to forecast the weather parameters for the next 24 hours using Auto ARIMA model and to use machine learning techniques to reliably predict the weather. Machine learning predicts the weather conditions for the day using strong and highly significant results based on current data. A cost effective IoT frame work is designed to read the real time input using sensors integrated with Arduino platform. By inputting average temperature, humidity, pressure, and other variables, decision trees and the Random Forest Algorithm will be utilized to predict events such as fog, rain, dry, windy, clear, breezy, and thunder. The algorithm is evaluated based on various performance metrics that include precision, recall, F score and accuracy.","PeriodicalId":345324,"journal":{"name":"2023 Second International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132741056","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}
Artificial intelligence is a concept that is extremely popular in the realm of healthcare and medical imaging. It strives to generate experimental findings that are beyond the capacity of humans and encourages consistent outcomes in assisting clinical specialists. Doctors that rely substantially on pictures, such as radiographers profit greatly from medical X-ray image analysis. Early-stage Knee Osteoarthritis detection is one such imaging prognosis. Wear and tear along with the slow degeneration of the articular cartilage are the main causes of knee osteoarthritis. Due to sophisticated technology, osteoarthritis detection employing X-ray pictures demands professionals who are technically proficient. Long examination periods and erroneous outcomes might stem from a lack of professional expertise. Thus, in this paper, a rapid and effective technique of utilizing Artificial Intelligence, medical image processing, and Machine Learning, has been suggested, to aid clinicians in making proper conclusions in classifying Knee Osteoarthritis at its early stages. The intricacies of Artificial Intelligence will surely aid in the faster adoption of technology in healthcare.
{"title":"A Transfer Learning Approach for Classification of Knee Osteoarthritis","authors":"Rahil Parikh, S. More, Nandita Kadam, Yash Mehta, Harsh Panchal, Himanshu Nimonkar","doi":"10.1109/ICEEICT56924.2023.10157147","DOIUrl":"https://doi.org/10.1109/ICEEICT56924.2023.10157147","url":null,"abstract":"Artificial intelligence is a concept that is extremely popular in the realm of healthcare and medical imaging. It strives to generate experimental findings that are beyond the capacity of humans and encourages consistent outcomes in assisting clinical specialists. Doctors that rely substantially on pictures, such as radiographers profit greatly from medical X-ray image analysis. Early-stage Knee Osteoarthritis detection is one such imaging prognosis. Wear and tear along with the slow degeneration of the articular cartilage are the main causes of knee osteoarthritis. Due to sophisticated technology, osteoarthritis detection employing X-ray pictures demands professionals who are technically proficient. Long examination periods and erroneous outcomes might stem from a lack of professional expertise. Thus, in this paper, a rapid and effective technique of utilizing Artificial Intelligence, medical image processing, and Machine Learning, has been suggested, to aid clinicians in making proper conclusions in classifying Knee Osteoarthritis at its early stages. The intricacies of Artificial Intelligence will surely aid in the faster adoption of technology in healthcare.","PeriodicalId":345324,"journal":{"name":"2023 Second International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133539551","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}
In any electrical gadget, the logical and mathematics unit has always been the most important component. A logic and mathematics unit must have an efficient algorithmic action that includes basic arithmetic and addition in order to be relevant in contemporary advances. The three input adder appears to be the main functional unit utilised in several cryptographic and pseudo-random number bit generator (PRBG) techniques to do known algorithms. The most common three-operand addition mechanism appears to be the carrysave adder (CS3A). The cascading effect stage of the CS3A, resulted in a high network latency of O, on the other hand (n). Additionally, a parallel prefix two-operand adder like the Han-Carlson (HCA) may be utilised for three-operand addition at an additional hardware cost, considerably lowering the design time. As a consequence, an advent of high and area-efficient adder design is developed, which executes three-operand binary addition utilising pre-compute bitwise adding followed by carry prefix calculation logic, consuming much less area, low power, and reducing adder latency greatly. Many into one is an acronym for multiplexer. An electronic circuit known as a multiplexer chooses and directs one or more input signals to one or more output signals.
{"title":"Design and Analysis of Three Operand Binary Adder","authors":"Vamshi Surigi, Bhavith Koppunuri, Ashok Chandrakala, Sangeeta Signh","doi":"10.1109/ICEEICT56924.2023.10157081","DOIUrl":"https://doi.org/10.1109/ICEEICT56924.2023.10157081","url":null,"abstract":"In any electrical gadget, the logical and mathematics unit has always been the most important component. A logic and mathematics unit must have an efficient algorithmic action that includes basic arithmetic and addition in order to be relevant in contemporary advances. The three input adder appears to be the main functional unit utilised in several cryptographic and pseudo-random number bit generator (PRBG) techniques to do known algorithms. The most common three-operand addition mechanism appears to be the carrysave adder (CS3A). The cascading effect stage of the CS3A, resulted in a high network latency of O, on the other hand (n). Additionally, a parallel prefix two-operand adder like the Han-Carlson (HCA) may be utilised for three-operand addition at an additional hardware cost, considerably lowering the design time. As a consequence, an advent of high and area-efficient adder design is developed, which executes three-operand binary addition utilising pre-compute bitwise adding followed by carry prefix calculation logic, consuming much less area, low power, and reducing adder latency greatly. Many into one is an acronym for multiplexer. An electronic circuit known as a multiplexer chooses and directs one or more input signals to one or more output signals.","PeriodicalId":345324,"journal":{"name":"2023 Second International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT)","volume":"83 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116100352","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-04-05DOI: 10.1109/ICEEICT56924.2023.10157347
Charu Priya S, Deepa T
This paper proposes a solar shot noise suppression algorithm using the complex empirical mode decomposition (CEMD) for the orthogonal frequency division multiplexing (OFDM) based visible light vehicular communication. The primary empirical mode decomposition can be used only for real-valued signals. In this work, it is extended to use in the complex realm signals. After the desired signal is broken down into its intrinsic mode functions (IMF), the noisy frequencies are easily eliminated. The performance results show that this CEMD - based noise suppression algorithm is a good alternative for mitigating intense background radiation.
{"title":"CEMD Solar Noise Suppression for OFDM based Visible Light Vehicular Communication","authors":"Charu Priya S, Deepa T","doi":"10.1109/ICEEICT56924.2023.10157347","DOIUrl":"https://doi.org/10.1109/ICEEICT56924.2023.10157347","url":null,"abstract":"This paper proposes a solar shot noise suppression algorithm using the complex empirical mode decomposition (CEMD) for the orthogonal frequency division multiplexing (OFDM) based visible light vehicular communication. The primary empirical mode decomposition can be used only for real-valued signals. In this work, it is extended to use in the complex realm signals. After the desired signal is broken down into its intrinsic mode functions (IMF), the noisy frequencies are easily eliminated. The performance results show that this CEMD - based noise suppression algorithm is a good alternative for mitigating intense background radiation.","PeriodicalId":345324,"journal":{"name":"2023 Second International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT)","volume":"107 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123534879","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-04-05DOI: 10.1109/ICEEICT56924.2023.10156976
M. Jeyakarthic, A. Leoraj
Due to its interactive and real-time character, gathering public opinion through the analysis of massive social data has received considerable interest. Recent research has used sentiment analysis and social media to do this to follow major events by monitoring people's behaviour. In this article, we provide a flexible approach to sentiment analysis that instantly pulls user opinions from social media postings and evaluates them. The suggested method entails first creating a dynamic dictionary of words' polarity based on a chosen collection of hashtags associated with a certain topic, then categorizing the tweets into many classifications by adding additional characteristics that sharply fine-tune the polarity degree of a post. We categorized the tweets on the 2022 French presidential election to verify our methodology. The prototype tests' findings demonstrated high accuracy in identifying classes as well classes' subclasses.
{"title":"A Novel Social Media-Based Adaptable Approach for Sentiment Analysis Data","authors":"M. Jeyakarthic, A. Leoraj","doi":"10.1109/ICEEICT56924.2023.10156976","DOIUrl":"https://doi.org/10.1109/ICEEICT56924.2023.10156976","url":null,"abstract":"Due to its interactive and real-time character, gathering public opinion through the analysis of massive social data has received considerable interest. Recent research has used sentiment analysis and social media to do this to follow major events by monitoring people's behaviour. In this article, we provide a flexible approach to sentiment analysis that instantly pulls user opinions from social media postings and evaluates them. The suggested method entails first creating a dynamic dictionary of words' polarity based on a chosen collection of hashtags associated with a certain topic, then categorizing the tweets into many classifications by adding additional characteristics that sharply fine-tune the polarity degree of a post. We categorized the tweets on the 2022 French presidential election to verify our methodology. The prototype tests' findings demonstrated high accuracy in identifying classes as well classes' subclasses.","PeriodicalId":345324,"journal":{"name":"2023 Second International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT)","volume":"206 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122337483","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-04-05DOI: 10.1109/ICEEICT56924.2023.10156930
S. S, M. Mohandass, Prassath. P. A, P. N, K. K, Abinandhan. S. L
In Recent advancement of the technology, Wireless network protocols play a vital role in Communication. Many different protocols have been developed and the improvements of the protocol have also been done in recent years. Nowadays most of the farmlands are being automated in order to transfer the information from one particular device to another. It is mandatory for us to follow some protocol. There are numerous protocols in the field of agriculture in order to transfer the information. In this proposed review we have analyzed what are the various communication protocols which are existing and its effective methodology of working and other parameters of performance has been reviewed thoroughly.
{"title":"Agriculture Based Information Transferring Protocol for Effective Communication","authors":"S. S, M. Mohandass, Prassath. P. A, P. N, K. K, Abinandhan. S. L","doi":"10.1109/ICEEICT56924.2023.10156930","DOIUrl":"https://doi.org/10.1109/ICEEICT56924.2023.10156930","url":null,"abstract":"In Recent advancement of the technology, Wireless network protocols play a vital role in Communication. Many different protocols have been developed and the improvements of the protocol have also been done in recent years. Nowadays most of the farmlands are being automated in order to transfer the information from one particular device to another. It is mandatory for us to follow some protocol. There are numerous protocols in the field of agriculture in order to transfer the information. In this proposed review we have analyzed what are the various communication protocols which are existing and its effective methodology of working and other parameters of performance has been reviewed thoroughly.","PeriodicalId":345324,"journal":{"name":"2023 Second International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT)","volume":"109 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124672104","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-04-05DOI: 10.1109/ICEEICT56924.2023.10157435
Shivani Arora, Rajan Kumar, Madan Kumar Das, R. Jarial
In this study, an effort has been made to examine the dynamics of speed control and current regulation of brushless DC (BLDC) motor. The motor hysteresis current control technology uses fractional order proportional integral(FOPI) controller to regulate motor's speed. Additionally, the fact that we will be using a FOPI controller rather than a standard PI controller will result in an increase in the robustness of the system and a reduction in settling time. Both the duty-cycle controlled voltage PWM approach and the hysteresis current control technique are able to be considered the primary current control techniques utilized in the BLDC motor driving. In order to achieve quick dynamic response during transitional stages FOPI controller is used along with hysteresis current control loop. From the extensive simulation results verify the efficacy of the developed FOPI controller is used along with hysteresis current control loop.
{"title":"Hysteresis Control of Permanent Magnet BLDC Motor Using FOPI Controller as Speed Regulator","authors":"Shivani Arora, Rajan Kumar, Madan Kumar Das, R. Jarial","doi":"10.1109/ICEEICT56924.2023.10157435","DOIUrl":"https://doi.org/10.1109/ICEEICT56924.2023.10157435","url":null,"abstract":"In this study, an effort has been made to examine the dynamics of speed control and current regulation of brushless DC (BLDC) motor. The motor hysteresis current control technology uses fractional order proportional integral(FOPI) controller to regulate motor's speed. Additionally, the fact that we will be using a FOPI controller rather than a standard PI controller will result in an increase in the robustness of the system and a reduction in settling time. Both the duty-cycle controlled voltage PWM approach and the hysteresis current control technique are able to be considered the primary current control techniques utilized in the BLDC motor driving. In order to achieve quick dynamic response during transitional stages FOPI controller is used along with hysteresis current control loop. From the extensive simulation results verify the efficacy of the developed FOPI controller is used along with hysteresis current control loop.","PeriodicalId":345324,"journal":{"name":"2023 Second International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT)","volume":"289 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128857492","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-04-05DOI: 10.1109/ICEEICT56924.2023.10157648
Nellikonda Geethanjali, Arra Hari Chandana, Gillala Sushma Reddy, K. S. Reddy
As all know that how important it is, to keep an eye on a person's health in regular intervals. But sometimes it is not possible to monitor in person. So, this device helps to check the basic parameters of health like temperature of the human body and heart rate. It is also helpful if the person's location is tracked so that they can be rescued in case of an emergency, here we use GPS module to track the position of the wearer. If there is a gradual drop of health parameters below the respective threshold values, there are chances of fall of the person. If the fall can be detected it would convey the emergency of the person. We use accelerometer (MPU6050) to detect the fall of the wearer. Arduino UNO helps in collecting, processing and analyzing the data. To smoothen the process of monitoring we use IoT as the medium of communication. ThingSpeak cloud platform is used where the data is updated in regular intervals. The data obtained is in graphical form, at the same time the accurate values are mentioned on it.
{"title":"Health monitoring, Location tracking and Fall detecting device using IoT","authors":"Nellikonda Geethanjali, Arra Hari Chandana, Gillala Sushma Reddy, K. S. Reddy","doi":"10.1109/ICEEICT56924.2023.10157648","DOIUrl":"https://doi.org/10.1109/ICEEICT56924.2023.10157648","url":null,"abstract":"As all know that how important it is, to keep an eye on a person's health in regular intervals. But sometimes it is not possible to monitor in person. So, this device helps to check the basic parameters of health like temperature of the human body and heart rate. It is also helpful if the person's location is tracked so that they can be rescued in case of an emergency, here we use GPS module to track the position of the wearer. If there is a gradual drop of health parameters below the respective threshold values, there are chances of fall of the person. If the fall can be detected it would convey the emergency of the person. We use accelerometer (MPU6050) to detect the fall of the wearer. Arduino UNO helps in collecting, processing and analyzing the data. To smoothen the process of monitoring we use IoT as the medium of communication. ThingSpeak cloud platform is used where the data is updated in regular intervals. The data obtained is in graphical form, at the same time the accurate values are mentioned on it.","PeriodicalId":345324,"journal":{"name":"2023 Second International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129120416","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-04-05DOI: 10.1109/ICEEICT56924.2023.10157652
J. P., Krishnamoorthy N, S. S, Tamilkumar R, Yokesh P
In medical imaging field, computer-aided detection (CADe) or computer-aided diagnosis (CADx) is the computer-based system that helps doctors to take decisions swiftly. So, majority of doctors use this kind of CADs for the faster detection and diagnosis of ocular diseases. There are some major retinal diseases, they are Choroidal Neo-Vascularization (CNV), Drusen, and Diabetic Macular Edema (DME). These ocular diseases can result in partial or complete loss of vision. Optical Coherence Tomography (OCT) is widely used in diagnosis of these ocular diseases. In this paper, it have shown the comparison results of several network model and transfer learning on networks with pre-trained models was achieved. The dataset for the training and validation was taken from the Kaggle website which contains an approximate of 84.5k images. The custom-built sequential model has achieved more validation accuracy than other network models.
{"title":"An Enhanced Technique To Classify OCT Images Using Deep Learning","authors":"J. P., Krishnamoorthy N, S. S, Tamilkumar R, Yokesh P","doi":"10.1109/ICEEICT56924.2023.10157652","DOIUrl":"https://doi.org/10.1109/ICEEICT56924.2023.10157652","url":null,"abstract":"In medical imaging field, computer-aided detection (CADe) or computer-aided diagnosis (CADx) is the computer-based system that helps doctors to take decisions swiftly. So, majority of doctors use this kind of CADs for the faster detection and diagnosis of ocular diseases. There are some major retinal diseases, they are Choroidal Neo-Vascularization (CNV), Drusen, and Diabetic Macular Edema (DME). These ocular diseases can result in partial or complete loss of vision. Optical Coherence Tomography (OCT) is widely used in diagnosis of these ocular diseases. In this paper, it have shown the comparison results of several network model and transfer learning on networks with pre-trained models was achieved. The dataset for the training and validation was taken from the Kaggle website which contains an approximate of 84.5k images. The custom-built sequential model has achieved more validation accuracy than other network models.","PeriodicalId":345324,"journal":{"name":"2023 Second International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126378820","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-04-05DOI: 10.1109/ICEEICT56924.2023.10157479
Rahul Gowtham Poola, Lahari P.L, S. Yellampalli
Edge detection is an algorithm that uses specialized kernels to capture boundary features of the image in the domains of vision research. Edge-detection algorithms can be accomplished to a large extent at the software extraction level, yet implementing it via FPGA can be significant for local edge recognition in images. Edge detection is an interaction to recognize boundaries from digital images by distinguishing brightness disparities. The paper presents diverse edge-detection techniques. This strategy incorporates morphological local edge detection and contrast enhancement. The paper presents a SIMULINK-based edge-detection model for operators including Prewitt, Sobel, and Robert and their corresponding simulation results. The boundaries of the region of interest are extracted as features from chest radiographs. The assessment of processed standards is significant in imaging applications. Image standard assessment is allied to similarity assessment where the standard is assessed on the distinction between a primary and a processed image. The edge detection models are implemented on EDGE ZYNQ SoC FPGA Development Board. Using an IP core built on Verilog, the input images are read from storage and the edge-detected images are written to storage. All tasks have been effectively accomplished via Xilinx Verilog code that is compiled using the Vivado and SDK programming tools. An EDGE ZYNQ SoC FPGA Development Board is then used to execute the algorithm, and computational results are derived. The findings of the Simulink implementation are used to substantiate the FPGA simulation results. According to the findings, the edge-detection algorithm is designed and implemented successfully on the EDGE ZYNQ SoC FPGA Development Board.
{"title":"Design of Matlab/Simulink-based Edge Detection operators and hardware implementation on ZYNQ FPGA","authors":"Rahul Gowtham Poola, Lahari P.L, S. Yellampalli","doi":"10.1109/ICEEICT56924.2023.10157479","DOIUrl":"https://doi.org/10.1109/ICEEICT56924.2023.10157479","url":null,"abstract":"Edge detection is an algorithm that uses specialized kernels to capture boundary features of the image in the domains of vision research. Edge-detection algorithms can be accomplished to a large extent at the software extraction level, yet implementing it via FPGA can be significant for local edge recognition in images. Edge detection is an interaction to recognize boundaries from digital images by distinguishing brightness disparities. The paper presents diverse edge-detection techniques. This strategy incorporates morphological local edge detection and contrast enhancement. The paper presents a SIMULINK-based edge-detection model for operators including Prewitt, Sobel, and Robert and their corresponding simulation results. The boundaries of the region of interest are extracted as features from chest radiographs. The assessment of processed standards is significant in imaging applications. Image standard assessment is allied to similarity assessment where the standard is assessed on the distinction between a primary and a processed image. The edge detection models are implemented on EDGE ZYNQ SoC FPGA Development Board. Using an IP core built on Verilog, the input images are read from storage and the edge-detected images are written to storage. All tasks have been effectively accomplished via Xilinx Verilog code that is compiled using the Vivado and SDK programming tools. An EDGE ZYNQ SoC FPGA Development Board is then used to execute the algorithm, and computational results are derived. The findings of the Simulink implementation are used to substantiate the FPGA simulation results. According to the findings, the edge-detection algorithm is designed and implemented successfully on the EDGE ZYNQ SoC FPGA Development Board.","PeriodicalId":345324,"journal":{"name":"2023 Second International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128949783","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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