Pub Date : 2023-04-21DOI: 10.1109/ICAIA57370.2023.10169248
Satyaprakash Mohapatra, Diptesh Choudhury, Kapileswar Bishi, Sanjay Keshari, B. K. Dakua, Chandrasekhar Kaunda, Animesh Panda
This paper compares the ability of integer and fractional order controllers towards the requirement to achieve the desired control performance. A classical speed control problem of the DC motor is considered as the control objective, against which the effectiveness of the fractional order PID (FOPID) and the fractional order TID (FOTID) controllers are tested. An actuating error minimization-based time-domain procedure is adopted with the help of optimization algorithms for the parameter evaluation of the applied controllers. The robustness of the controllers is tested under the influence of parameter variations, and disturbances. Although the time response of FOPID and FOTID are almost identical, the FOTID controller shows superior disturbance rejection and reference tracking capabilities.
{"title":"A Comparison between the FOTID and FOPID Controller for the Close-Loop Speed Control of a DC Motor System","authors":"Satyaprakash Mohapatra, Diptesh Choudhury, Kapileswar Bishi, Sanjay Keshari, B. K. Dakua, Chandrasekhar Kaunda, Animesh Panda","doi":"10.1109/ICAIA57370.2023.10169248","DOIUrl":"https://doi.org/10.1109/ICAIA57370.2023.10169248","url":null,"abstract":"This paper compares the ability of integer and fractional order controllers towards the requirement to achieve the desired control performance. A classical speed control problem of the DC motor is considered as the control objective, against which the effectiveness of the fractional order PID (FOPID) and the fractional order TID (FOTID) controllers are tested. An actuating error minimization-based time-domain procedure is adopted with the help of optimization algorithms for the parameter evaluation of the applied controllers. The robustness of the controllers is tested under the influence of parameter variations, and disturbances. Although the time response of FOPID and FOTID are almost identical, the FOTID controller shows superior disturbance rejection and reference tracking capabilities.","PeriodicalId":196526,"journal":{"name":"2023 International Conference on Artificial Intelligence and Applications (ICAIA) Alliance Technology Conference (ATCON-1)","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114246643","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 : 2023-04-21DOI: 10.1109/ICAIA57370.2023.10169678
Adarsh S. V. Nair, Rathnakar Achary
One of the weakest links in any security system is neither the devices used nor the programs running on them; but the human beings using these devices. Most cyberattacks are initiated by human error. Hackers always use the most accessible and effective social engineering techniques to attack. Simply put, it is the art of manipulating people into sharing sensitive and confidential information. This research proposes a framework with four modules, namely, a source analyzer, a content classifier and analyzer, a link analyzer, and a risk reporting module, as a social engineering defender system for categorizing the risks before the email reaches the inbox of the user. Before it reaches the end user’s inbox, the system blocks the emails the social engineering defender has marked as “very high risk”.
{"title":"Social Engineering Defender (SE.Def): Human Emotion Factor Based Classification and Defense against Social Engineering Attacks","authors":"Adarsh S. V. Nair, Rathnakar Achary","doi":"10.1109/ICAIA57370.2023.10169678","DOIUrl":"https://doi.org/10.1109/ICAIA57370.2023.10169678","url":null,"abstract":"One of the weakest links in any security system is neither the devices used nor the programs running on them; but the human beings using these devices. Most cyberattacks are initiated by human error. Hackers always use the most accessible and effective social engineering techniques to attack. Simply put, it is the art of manipulating people into sharing sensitive and confidential information. This research proposes a framework with four modules, namely, a source analyzer, a content classifier and analyzer, a link analyzer, and a risk reporting module, as a social engineering defender system for categorizing the risks before the email reaches the inbox of the user. Before it reaches the end user’s inbox, the system blocks the emails the social engineering defender has marked as “very high risk”.","PeriodicalId":196526,"journal":{"name":"2023 International Conference on Artificial Intelligence and Applications (ICAIA) Alliance Technology Conference (ATCON-1)","volume":"109 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124738386","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 : 2023-04-21DOI: 10.1109/ICAIA57370.2023.10169589
Rajlakshmi Ghatkamble, K. Ratish Kumar, S. John Hrithik, J. Harshith Kumar, P. Sujan
Moving from one location to another is one of the biggest issues that visually impaired individuals have. For these folks, walking canes that are readily accessible solely act as obstacle sensors. Long overdue is the requirement for an affordable guiding and navigation system for the blind. This paper’s major goal is to use ultrasonic technology to broaden the electronic mobility aid for blind and visually impaired walkers. The research described in this article involves designing and implementing an ultrasonic navigation system to offer blind pedestrians completely autonomous obstacle avoidance as well as auditory and tactile feedback. A camera will be used to detect objects higher than knee height. This blind steering method is risk-free, accurate, and efficient.
{"title":"Computer Vision and IoT-Based Smart System for Visually Impaired People","authors":"Rajlakshmi Ghatkamble, K. Ratish Kumar, S. John Hrithik, J. Harshith Kumar, P. Sujan","doi":"10.1109/ICAIA57370.2023.10169589","DOIUrl":"https://doi.org/10.1109/ICAIA57370.2023.10169589","url":null,"abstract":"Moving from one location to another is one of the biggest issues that visually impaired individuals have. For these folks, walking canes that are readily accessible solely act as obstacle sensors. Long overdue is the requirement for an affordable guiding and navigation system for the blind. This paper’s major goal is to use ultrasonic technology to broaden the electronic mobility aid for blind and visually impaired walkers. The research described in this article involves designing and implementing an ultrasonic navigation system to offer blind pedestrians completely autonomous obstacle avoidance as well as auditory and tactile feedback. A camera will be used to detect objects higher than knee height. This blind steering method is risk-free, accurate, and efficient.","PeriodicalId":196526,"journal":{"name":"2023 International Conference on Artificial Intelligence and Applications (ICAIA) Alliance Technology Conference (ATCON-1)","volume":"93 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130922244","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 : 2023-04-21DOI: 10.1109/ICAIA57370.2023.10169488
Sahil Jaiswal, S. Srivastava, Shelly Garg, Pardeep Singh
This paper demonstrates the use of news headlines of various news articles to see their impact on the gold commodity. The extracted information is not only limited to the value of the asset but also takes into account various other factors that may help make decisions. Gold prices affect everyone and everyone wants to know how the commodity will behave based on global market sentiment, and statements made by large firms which could affect the market. Although many operations have been performed in this field, it has focused only on one aspect and is related to stocks and not commodities like gold. In this paper, we have a data set of news headlines from the period 2000-2019, and the proposed model is used to extract various information such as previous movements, asset comparisons, price guidance, and various other information that news contains. The experiment is done to check the relationship between gold news and gold prices and the model created produces information that has a significant relationship with the gold price.
{"title":"Effect of News Headlines on Gold Price Prediction using NLP and Deep Learning","authors":"Sahil Jaiswal, S. Srivastava, Shelly Garg, Pardeep Singh","doi":"10.1109/ICAIA57370.2023.10169488","DOIUrl":"https://doi.org/10.1109/ICAIA57370.2023.10169488","url":null,"abstract":"This paper demonstrates the use of news headlines of various news articles to see their impact on the gold commodity. The extracted information is not only limited to the value of the asset but also takes into account various other factors that may help make decisions. Gold prices affect everyone and everyone wants to know how the commodity will behave based on global market sentiment, and statements made by large firms which could affect the market. Although many operations have been performed in this field, it has focused only on one aspect and is related to stocks and not commodities like gold. In this paper, we have a data set of news headlines from the period 2000-2019, and the proposed model is used to extract various information such as previous movements, asset comparisons, price guidance, and various other information that news contains. The experiment is done to check the relationship between gold news and gold prices and the model created produces information that has a significant relationship with the gold price.","PeriodicalId":196526,"journal":{"name":"2023 International Conference on Artificial Intelligence and Applications (ICAIA) Alliance Technology Conference (ATCON-1)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131222936","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 : 2023-04-21DOI: 10.1109/ICAIA57370.2023.10169512
Sundari Tribhuvanam, H. Nagaraj, V. Naidu
The cardiac well-being of humans can be monitored by non-invasive electrocardiogram (ECG) to a greater extent. Subtle changes in ECG waveform can be identified by computer-assisted tools. Machine learning algorithms play an important role in arrhythmia classification. This paper presents a comparative analysis of various classifiers to support ECG classification. The classification model detects seven arrhythmia types from the generated dataset derived from arrhythmia database of MIT-BIH. The proposed technique considers ECG beat features in time domain based on ECG morphology and statistics. Arrhythmia classification is carried out for seven classes. Performance evaluation is carried out for different classifiers with accuracy, sensitivity, specificity, and F1-score as the evaluation metrics. Classification accuracy up to 97%, Recall up to 92%, F1-score up to 91% and precision up to 91% is achieved with specific classifiers across various arrhythmia classes under consideration.
{"title":"Performance Evaluation of Classifiers for ECG Signal Analysis","authors":"Sundari Tribhuvanam, H. Nagaraj, V. Naidu","doi":"10.1109/ICAIA57370.2023.10169512","DOIUrl":"https://doi.org/10.1109/ICAIA57370.2023.10169512","url":null,"abstract":"The cardiac well-being of humans can be monitored by non-invasive electrocardiogram (ECG) to a greater extent. Subtle changes in ECG waveform can be identified by computer-assisted tools. Machine learning algorithms play an important role in arrhythmia classification. This paper presents a comparative analysis of various classifiers to support ECG classification. The classification model detects seven arrhythmia types from the generated dataset derived from arrhythmia database of MIT-BIH. The proposed technique considers ECG beat features in time domain based on ECG morphology and statistics. Arrhythmia classification is carried out for seven classes. Performance evaluation is carried out for different classifiers with accuracy, sensitivity, specificity, and F1-score as the evaluation metrics. Classification accuracy up to 97%, Recall up to 92%, F1-score up to 91% and precision up to 91% is achieved with specific classifiers across various arrhythmia classes under consideration.","PeriodicalId":196526,"journal":{"name":"2023 International Conference on Artificial Intelligence and Applications (ICAIA) Alliance Technology Conference (ATCON-1)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131439977","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 : 2023-04-21DOI: 10.1109/ICAIA57370.2023.10169463
Mazi Essoloani Aleza, D. Vetrithangam
Football is one of the most popular sport games played in the world and counts many fans across the globe. During a match, any mistake or bad decision from the referee may turn the entire match and may lead to heartbreak losses. For solving this issue, FIFA (Federation Internationale de Football Association) came up with the idea of VAR (Video Assistant Referee) system to reduce errors that might occur due to referring. Even though the VAR system seems to have some pitfalls, The referee needs to take extra time to check and sometimes it seems to be inefficient. Artificial Intelligence (AI), may play an important role in this scenario. It can be integrated into referee assistance by reducing human errors and can help to enhance the VAR precision for a better decision on the field during a match. This research proposes the creation of an AI assisted referee system that makes judgments during a match using information from an AI agent. The AI agent may detect mistakes such as penalties, card punishments, or any other miscalculations that may occur throughout a game. This finding indicates that Long Short-Term Memory performed the best, with an accuracy rate of 95%.
{"title":"Use of Artificial Intelligence to Avoid Errors in Referring a Football Match","authors":"Mazi Essoloani Aleza, D. Vetrithangam","doi":"10.1109/ICAIA57370.2023.10169463","DOIUrl":"https://doi.org/10.1109/ICAIA57370.2023.10169463","url":null,"abstract":"Football is one of the most popular sport games played in the world and counts many fans across the globe. During a match, any mistake or bad decision from the referee may turn the entire match and may lead to heartbreak losses. For solving this issue, FIFA (Federation Internationale de Football Association) came up with the idea of VAR (Video Assistant Referee) system to reduce errors that might occur due to referring. Even though the VAR system seems to have some pitfalls, The referee needs to take extra time to check and sometimes it seems to be inefficient. Artificial Intelligence (AI), may play an important role in this scenario. It can be integrated into referee assistance by reducing human errors and can help to enhance the VAR precision for a better decision on the field during a match. This research proposes the creation of an AI assisted referee system that makes judgments during a match using information from an AI agent. The AI agent may detect mistakes such as penalties, card punishments, or any other miscalculations that may occur throughout a game. This finding indicates that Long Short-Term Memory performed the best, with an accuracy rate of 95%.","PeriodicalId":196526,"journal":{"name":"2023 International Conference on Artificial Intelligence and Applications (ICAIA) Alliance Technology Conference (ATCON-1)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114857246","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 : 2023-04-21DOI: 10.1109/ICAIA57370.2023.10169555
V. Asha, Arpana Prasad, C.R Vishwanath, K. Madava Raj, A. R. Manoj Kumar, N. Leelavathi
The objective of conduct the current research is to understand the deep relationship between gaming along with how artificial intelligence (AI) is being incorporated into these fields. It is clear that gaming and AI have a natural connection, and the introduction of AI only strengthens this connection. This study aims to highlight the potential benefits of using AI in gaming and simulation, as well as the challenges that may arise in these contexts. The scope of the research includes exploring the various ways in which AI can be applied in gaming. In addition to optimizing programs and tasks, AI can be trained to work independently, reducing the need for human labour and potentially eliminating human error. Overall, this paper focuses on the diverse potential applications of combining AI with gaming and simulation. This research shows how AI can be learn to play independently with the help of Neuro Evolution of Augmenting Topologies (NEAT) a Genetic algorithm.
{"title":"Designing A Popular Game Framework Using Neat A Genetic Algorithms","authors":"V. Asha, Arpana Prasad, C.R Vishwanath, K. Madava Raj, A. R. Manoj Kumar, N. Leelavathi","doi":"10.1109/ICAIA57370.2023.10169555","DOIUrl":"https://doi.org/10.1109/ICAIA57370.2023.10169555","url":null,"abstract":"The objective of conduct the current research is to understand the deep relationship between gaming along with how artificial intelligence (AI) is being incorporated into these fields. It is clear that gaming and AI have a natural connection, and the introduction of AI only strengthens this connection. This study aims to highlight the potential benefits of using AI in gaming and simulation, as well as the challenges that may arise in these contexts. The scope of the research includes exploring the various ways in which AI can be applied in gaming. In addition to optimizing programs and tasks, AI can be trained to work independently, reducing the need for human labour and potentially eliminating human error. Overall, this paper focuses on the diverse potential applications of combining AI with gaming and simulation. This research shows how AI can be learn to play independently with the help of Neuro Evolution of Augmenting Topologies (NEAT) a Genetic algorithm.","PeriodicalId":196526,"journal":{"name":"2023 International Conference on Artificial Intelligence and Applications (ICAIA) Alliance Technology Conference (ATCON-1)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114878826","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 : 2023-04-21DOI: 10.1109/ICAIA57370.2023.10169735
Settem Sasidhar Reddy, G. Reddy
This paper mainly proposes a low-power Differential Voltage Comparator (DVC) design using digital gates to introduce automation in analog circuit design. Therefore, a differential pseudo-resistive based comparator is designed to achieve low power and compatibility in layout process. In the proposed pseudo-resistive comparator, the power consumption is 374 $mu$W at supply voltage of 1. SV, input frequency is 10Mhz. The power saving is 31.75% as compared with existing digital based comparator. The comparator is designed using CADENCE. The comparator is created using digital cells such as inverters, exclusive-or and tri-state inverters are constructed using CMOS transistors.
{"title":"Pseudo-Resistor based Low-Power Differential Voltage Comparator","authors":"Settem Sasidhar Reddy, G. Reddy","doi":"10.1109/ICAIA57370.2023.10169735","DOIUrl":"https://doi.org/10.1109/ICAIA57370.2023.10169735","url":null,"abstract":"This paper mainly proposes a low-power Differential Voltage Comparator (DVC) design using digital gates to introduce automation in analog circuit design. Therefore, a differential pseudo-resistive based comparator is designed to achieve low power and compatibility in layout process. In the proposed pseudo-resistive comparator, the power consumption is 374 $mu$W at supply voltage of 1. SV, input frequency is 10Mhz. The power saving is 31.75% as compared with existing digital based comparator. The comparator is designed using CADENCE. The comparator is created using digital cells such as inverters, exclusive-or and tri-state inverters are constructed using CMOS transistors.","PeriodicalId":196526,"journal":{"name":"2023 International Conference on Artificial Intelligence and Applications (ICAIA) Alliance Technology Conference (ATCON-1)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130173085","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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