Pub Date : 2022-06-01DOI: 10.1109/iemtronics55184.2022.9795737
Raghad Almutairi, Abhishek Godavarthi, Arthi Reddy Kotha, Ebrima N. Ceesay
Credit card use is not always the best way to use for payments, but the most demonstrable payment mode is through the credit card for both offline as well as for online payments, which can result in deficit of funds. As the online shopping is booming it helps in rendering the cashless payment modes. It can be used at shopping’s, paying rent, paying utilities bill, internet bill, travel and transportation, entertainment, food. Using for all these things there is a chance of fraud transactions for a credit card, hence there is more risk. There are many types of fraudulent detections most of the banks and institutions are preferring fraud detection applications.it has become very hard to find out the fraud detections, After the transaction is done there is a chance of detecting fraudulent transactions in the manual business processing system. In real time the bunco transactions are done with real transactions, but it seems not to be sufficient for detecting [1]. Machine learning and data science both are playing a very important role in identifying the fraud detections. This study uses data science and machine learning for detecting the fraud detection to demonstrate various modellings. The problem enables the transactions of the previously done transaction data.
{"title":"Analyzing Credit Card Fraud Detection based on Machine Learning Models","authors":"Raghad Almutairi, Abhishek Godavarthi, Arthi Reddy Kotha, Ebrima N. Ceesay","doi":"10.1109/iemtronics55184.2022.9795737","DOIUrl":"https://doi.org/10.1109/iemtronics55184.2022.9795737","url":null,"abstract":"Credit card use is not always the best way to use for payments, but the most demonstrable payment mode is through the credit card for both offline as well as for online payments, which can result in deficit of funds. As the online shopping is booming it helps in rendering the cashless payment modes. It can be used at shopping’s, paying rent, paying utilities bill, internet bill, travel and transportation, entertainment, food. Using for all these things there is a chance of fraud transactions for a credit card, hence there is more risk. There are many types of fraudulent detections most of the banks and institutions are preferring fraud detection applications.it has become very hard to find out the fraud detections, After the transaction is done there is a chance of detecting fraudulent transactions in the manual business processing system. In real time the bunco transactions are done with real transactions, but it seems not to be sufficient for detecting [1]. Machine learning and data science both are playing a very important role in identifying the fraud detections. This study uses data science and machine learning for detecting the fraud detection to demonstrate various modellings. The problem enables the transactions of the previously done transaction data.","PeriodicalId":442879,"journal":{"name":"2022 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125171888","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-06-01DOI: 10.1109/iemtronics55184.2022.9795725
Deyby Huamanchahua, Cesar Luciano Otarola-Ruiz, Ana Quispe-Pina, Elvis J. De La Torre-Velarde
Exoskeletons have been around since 1890 when a passive device was developed to assist movement. Although the exoskeleton initially focused on the whole body, it has become increasingly focused on a more specific area, which makes rehabilitation work more feasible and, consequently, less costly. Therefore, the purpose of the article is to present a systematic review of trends in the technical area of knee and ankle exoskeletons for rehabilitation purposes. The objective is to provide the interested researcher with a structured matrix that integrates essential components and mechanisms in the development of knee and ankle exoskeletons. As a methodology, specialized databases in biomechanics were used that aided in the collection of research conducted between 2019 and 2022. The filtering process resulted in the selection of 37 investigations. Finally, it was concluded that innovations in exoskeletons contribute to patient rehabilitation and that there is still room for further improvement in the implementation of projects on a commercial scale and the development of new exoskeletons based on previous research.
{"title":"Knee and Ankle Exoskeletons for Motor Rehabilitation: A Technology Review","authors":"Deyby Huamanchahua, Cesar Luciano Otarola-Ruiz, Ana Quispe-Pina, Elvis J. De La Torre-Velarde","doi":"10.1109/iemtronics55184.2022.9795725","DOIUrl":"https://doi.org/10.1109/iemtronics55184.2022.9795725","url":null,"abstract":"Exoskeletons have been around since 1890 when a passive device was developed to assist movement. Although the exoskeleton initially focused on the whole body, it has become increasingly focused on a more specific area, which makes rehabilitation work more feasible and, consequently, less costly. Therefore, the purpose of the article is to present a systematic review of trends in the technical area of knee and ankle exoskeletons for rehabilitation purposes. The objective is to provide the interested researcher with a structured matrix that integrates essential components and mechanisms in the development of knee and ankle exoskeletons. As a methodology, specialized databases in biomechanics were used that aided in the collection of research conducted between 2019 and 2022. The filtering process resulted in the selection of 37 investigations. Finally, it was concluded that innovations in exoskeletons contribute to patient rehabilitation and that there is still room for further improvement in the implementation of projects on a commercial scale and the development of new exoskeletons based on previous research.","PeriodicalId":442879,"journal":{"name":"2022 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126962018","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-06-01DOI: 10.1109/iemtronics55184.2022.9795832
Kamran Hameed, Sana Ijlal Shahrukh, I. S. Ateeq
Respiration is an important vital sign which can help in the indication of human’s health status. Sleep apnea, which is defined as a cessation of breathing while sleeping, is recognized as a common and critical popular health problem. By monitoring the patient’s respiration rate, sleep apnea can be diagnosed. The received signal from the patient, which is a variation in temperature, is converted into a variation in voltage and then the respiration rate can be calculated. A portable device is proposed that can continuously monitor the breathing rhythm in a manner which is fast, safe and costly effective. The system consists of a nasal-oral thermistor that is mounted inside a nebulizer mask for detecting the irregular respiratory interruption and providing audible and visual alarms when this interrupt indicates an apnea event. Otherwise, if an out-of-range value occurred the alarm also will be initiated. Thus, the device will contribute to reducing the death associated with sleep apnea.
{"title":"Design of Monitoring System for Respiratory Diagnosis","authors":"Kamran Hameed, Sana Ijlal Shahrukh, I. S. Ateeq","doi":"10.1109/iemtronics55184.2022.9795832","DOIUrl":"https://doi.org/10.1109/iemtronics55184.2022.9795832","url":null,"abstract":"Respiration is an important vital sign which can help in the indication of human’s health status. Sleep apnea, which is defined as a cessation of breathing while sleeping, is recognized as a common and critical popular health problem. By monitoring the patient’s respiration rate, sleep apnea can be diagnosed. The received signal from the patient, which is a variation in temperature, is converted into a variation in voltage and then the respiration rate can be calculated. A portable device is proposed that can continuously monitor the breathing rhythm in a manner which is fast, safe and costly effective. The system consists of a nasal-oral thermistor that is mounted inside a nebulizer mask for detecting the irregular respiratory interruption and providing audible and visual alarms when this interrupt indicates an apnea event. Otherwise, if an out-of-range value occurred the alarm also will be initiated. Thus, the device will contribute to reducing the death associated with sleep apnea.","PeriodicalId":442879,"journal":{"name":"2022 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS)","volume":"142 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133807239","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-06-01DOI: 10.1109/iemtronics55184.2022.9795787
A. A. AlQahtani, Hosam Alamleh, Baker Al Smadi
Internet of Things (IoT) is a distributed communication technology system that offers the possibility for physical devices (e.g., vehicles, home appliances sensors, actuators, etc.), known as Things, to connect and exchange data, more importantly, without human interaction. Since IoT plays a significant role in our daily lives, we must secure the IoT environment to work effectively. Among the various security requirements, authentication to the IoT devices is essential as it is the first step in preventing any negative impact of possible attackers. Using the current IEEE 802.11 infrastructure, this paper implements an IoT devices authentication scheme based on something that is in the IoT device’s environment (i.e., ambient access points). Data from the broadcast messages (i.e., beacon frame characteristics) are utilized to implement the authentication factor that confirms proximity between two devices in an ad hoc IoT network.
{"title":"IoT Devices Proximity Authentication In Ad Hoc Network Environment","authors":"A. A. AlQahtani, Hosam Alamleh, Baker Al Smadi","doi":"10.1109/iemtronics55184.2022.9795787","DOIUrl":"https://doi.org/10.1109/iemtronics55184.2022.9795787","url":null,"abstract":"Internet of Things (IoT) is a distributed communication technology system that offers the possibility for physical devices (e.g., vehicles, home appliances sensors, actuators, etc.), known as Things, to connect and exchange data, more importantly, without human interaction. Since IoT plays a significant role in our daily lives, we must secure the IoT environment to work effectively. Among the various security requirements, authentication to the IoT devices is essential as it is the first step in preventing any negative impact of possible attackers. Using the current IEEE 802.11 infrastructure, this paper implements an IoT devices authentication scheme based on something that is in the IoT device’s environment (i.e., ambient access points). Data from the broadcast messages (i.e., beacon frame characteristics) are utilized to implement the authentication factor that confirms proximity between two devices in an ad hoc IoT network.","PeriodicalId":442879,"journal":{"name":"2022 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129622705","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-06-01DOI: 10.1109/iemtronics55184.2022.9795806
Md. Rezanul Haque, K. Salam, Md. Abdur Razzak
An impetuous popularity of electric vehicles (EVs) is of great concern in the field of automobile research. Since electric vehicles run through electric motor so it is important to have reliable DC-DC boost converter which can give stable required voltage for the motor controller. In this paper a modified cascaded DC-DC boost converter has been presented. The proposed boost converter can achieve high gain at intermediate duty cycle thereby lowering down the conduction loss, which will be ideal for EVs motor controller and other renewables energy applications. The analysis of the proposed converter is performed both in ideal and non-ideal conditions. The analysis of MOSFET’s junction temperature has also been performed in order to confirm its viability for EV’s motor controller and other renewable energy applications.
{"title":"A High Gain Cascaded DC-DC Boost Converter for Electric Vehicle Motor Controller and Other Renewable Energy Applications","authors":"Md. Rezanul Haque, K. Salam, Md. Abdur Razzak","doi":"10.1109/iemtronics55184.2022.9795806","DOIUrl":"https://doi.org/10.1109/iemtronics55184.2022.9795806","url":null,"abstract":"An impetuous popularity of electric vehicles (EVs) is of great concern in the field of automobile research. Since electric vehicles run through electric motor so it is important to have reliable DC-DC boost converter which can give stable required voltage for the motor controller. In this paper a modified cascaded DC-DC boost converter has been presented. The proposed boost converter can achieve high gain at intermediate duty cycle thereby lowering down the conduction loss, which will be ideal for EVs motor controller and other renewables energy applications. The analysis of the proposed converter is performed both in ideal and non-ideal conditions. The analysis of MOSFET’s junction temperature has also been performed in order to confirm its viability for EV’s motor controller and other renewable energy applications.","PeriodicalId":442879,"journal":{"name":"2022 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133935134","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-06-01DOI: 10.1109/iemtronics55184.2022.9795837
P. Bhaskar, S. Yuvaraj, P. Palanisamy, R. Thilagavathy
The ECG signals are one of the most important signals to check the human heart’s condition. On monitoring the heart continuously, a large amount of ECG signal data will be produced. So, there is a need for efficient compression techniques. Discrete Anamorphic Stretch Transform (DAST) is one of the most efficient techniques. It is a one-dimensional complex transform that includes the phase recovery technique for recovering the phase from the magnitudes. This paper deals with implementing the phase recovery block in Field Programmable Gate Array (FPGA), which will recover the phase by using magnitudes. Phase recovery block plays a key role in reconstructing the phases from the magnitudes. First, the required signal is passed through the linear filter or phase recovery filter. Then the phase value is estimated using a noniterative algorithm depending on the linearity and causality conditions. The new approach for the phase recovery block is also used for any complex signal transmission. The input ECG signal is taken from the MIT-BIH Arrhythmia database and implementation is carried out in Artix-7 NEXYS 4 DDR FPGA Board. The performance of the phase recovery block is quantified in terms of hardware and computational complexity.
{"title":"FPGA Implementation of Phase Recovery Technique for Complex Transforms","authors":"P. Bhaskar, S. Yuvaraj, P. Palanisamy, R. Thilagavathy","doi":"10.1109/iemtronics55184.2022.9795837","DOIUrl":"https://doi.org/10.1109/iemtronics55184.2022.9795837","url":null,"abstract":"The ECG signals are one of the most important signals to check the human heart’s condition. On monitoring the heart continuously, a large amount of ECG signal data will be produced. So, there is a need for efficient compression techniques. Discrete Anamorphic Stretch Transform (DAST) is one of the most efficient techniques. It is a one-dimensional complex transform that includes the phase recovery technique for recovering the phase from the magnitudes. This paper deals with implementing the phase recovery block in Field Programmable Gate Array (FPGA), which will recover the phase by using magnitudes. Phase recovery block plays a key role in reconstructing the phases from the magnitudes. First, the required signal is passed through the linear filter or phase recovery filter. Then the phase value is estimated using a noniterative algorithm depending on the linearity and causality conditions. The new approach for the phase recovery block is also used for any complex signal transmission. The input ECG signal is taken from the MIT-BIH Arrhythmia database and implementation is carried out in Artix-7 NEXYS 4 DDR FPGA Board. The performance of the phase recovery block is quantified in terms of hardware and computational complexity.","PeriodicalId":442879,"journal":{"name":"2022 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132970439","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-06-01DOI: 10.1109/iemtronics55184.2022.9795834
Alessandro Giuliano, W. Hilal, Naseem Alsadi, S. Gadsden, J. Yawney
This review covers the topics of cognitive dynamic systems and their definition following Simon Haykin’s work in the field as well as their application through cognitive radar, cognitive radio and cognitive control. Furthermore, the article presents the topic of cognitive IoT and discusses it under the lens of cognitive dynamic systems referencing research in the field. It also discusses the needs for interoperability between IoT architectures and the need to integrate cognitive radio with future IoT frameworks developments.
{"title":"A Review of Cognitive Dynamic Systems and Cognitive IoT","authors":"Alessandro Giuliano, W. Hilal, Naseem Alsadi, S. Gadsden, J. Yawney","doi":"10.1109/iemtronics55184.2022.9795834","DOIUrl":"https://doi.org/10.1109/iemtronics55184.2022.9795834","url":null,"abstract":"This review covers the topics of cognitive dynamic systems and their definition following Simon Haykin’s work in the field as well as their application through cognitive radar, cognitive radio and cognitive control. Furthermore, the article presents the topic of cognitive IoT and discusses it under the lens of cognitive dynamic systems referencing research in the field. It also discusses the needs for interoperability between IoT architectures and the need to integrate cognitive radio with future IoT frameworks developments.","PeriodicalId":442879,"journal":{"name":"2022 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133621310","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-06-01DOI: 10.1109/iemtronics55184.2022.9795807
Andi Nur Faisal, Amil Ahmad Ilham, Syafaruddin
This current work proposed the system of detection and information delivery on accident locations to related parties in order to get medical aids punctually. This system was based on three major components as the data source inputs, namely the censors of tilt/slope, vibration, acceleration, and coordinate locations. The data was then processed through Arduino microcontroller by applying a fuzzy logic algorithm using Tsukamoto method as a supporting system for accident status decision. The results of the decision were then transmitted to the data center in real time using the Wi-Fi module, and then send notifications to related parties. The test results revealed that the slope censor accuracy was about 96.1%. Additionally, the use of fuzzy logic via Tsukamoto method was successfully implemented to determine the accident status by an accuracy value of 85.18%.
{"title":"Provision of Information and Detection Systems on Two-Wheeled Motorcycle Accidents","authors":"Andi Nur Faisal, Amil Ahmad Ilham, Syafaruddin","doi":"10.1109/iemtronics55184.2022.9795807","DOIUrl":"https://doi.org/10.1109/iemtronics55184.2022.9795807","url":null,"abstract":"This current work proposed the system of detection and information delivery on accident locations to related parties in order to get medical aids punctually. This system was based on three major components as the data source inputs, namely the censors of tilt/slope, vibration, acceleration, and coordinate locations. The data was then processed through Arduino microcontroller by applying a fuzzy logic algorithm using Tsukamoto method as a supporting system for accident status decision. The results of the decision were then transmitted to the data center in real time using the Wi-Fi module, and then send notifications to related parties. The test results revealed that the slope censor accuracy was about 96.1%. Additionally, the use of fuzzy logic via Tsukamoto method was successfully implemented to determine the accident status by an accuracy value of 85.18%.","PeriodicalId":442879,"journal":{"name":"2022 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116358455","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-06-01DOI: 10.1109/iemtronics55184.2022.9795729
E. Navruzov, A. Kabulov
The problem of detecting types of DDOS attacks in large-scale networks is considered. The complexity of detection is explained by the presence of a large number of connected and diverse devices, the high volume of incoming traffic, the need to introduce special restrictions when searching for anomalies. The technology of developing information security models using data mining (DM) methods is proposed. The features of machine learning of DM algorithms are related to the choice of methods for preprocessing big data (Big Data). A technique for analyzing the structure of relations between types of DDOS attacks has been developed. Within the framework of this technique, a procedure for pairwise comparison of data by types of attacks with normal traffic is implemented. The result of the comparison is the stability of features, the values of which are invariant to the measurement scales. The analysis of the structure of relations by grouping algorithms was carried out according to the stability values on the determined sets of features. When forming the sets, the stability ranking was used. For classification, various existing methods of machine learning are analyzed.
{"title":"Detection and analysis types of DDoS attack","authors":"E. Navruzov, A. Kabulov","doi":"10.1109/iemtronics55184.2022.9795729","DOIUrl":"https://doi.org/10.1109/iemtronics55184.2022.9795729","url":null,"abstract":"The problem of detecting types of DDOS attacks in large-scale networks is considered. The complexity of detection is explained by the presence of a large number of connected and diverse devices, the high volume of incoming traffic, the need to introduce special restrictions when searching for anomalies. The technology of developing information security models using data mining (DM) methods is proposed. The features of machine learning of DM algorithms are related to the choice of methods for preprocessing big data (Big Data). A technique for analyzing the structure of relations between types of DDOS attacks has been developed. Within the framework of this technique, a procedure for pairwise comparison of data by types of attacks with normal traffic is implemented. The result of the comparison is the stability of features, the values of which are invariant to the measurement scales. The analysis of the structure of relations by grouping algorithms was carried out according to the stability values on the determined sets of features. When forming the sets, the stability ranking was used. For classification, various existing methods of machine learning are analyzed.","PeriodicalId":442879,"journal":{"name":"2022 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115280435","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-06-01DOI: 10.1109/iemtronics55184.2022.9795764
W. Hilal, Alessandro Giuliano, S. Gadsden, J. Yawney
Cognitive dynamic systems are a new field of physical systems inspired by several areas of study such as neuroscience, cognitive science, computer science, mathematics, physics and engineering. Building on Fuster’s paradigm, a system is considered cognitive when it is capable of five fundamental processes to human cognition: the perception-action cycle, memory, attention, intelligence and language. With these capabilities, a cognitive dynamic system can sense its environment, interact with it, and learn from it through continued interactions. The goal of this paper is to provide a thorough review of the cognitive dynamic system framework, along with its theory, applications, and its two special functions: cognitive control and cognitive risk control.
{"title":"A Review of Cognitive Dynamic Systems and Its Overarching Functions","authors":"W. Hilal, Alessandro Giuliano, S. Gadsden, J. Yawney","doi":"10.1109/iemtronics55184.2022.9795764","DOIUrl":"https://doi.org/10.1109/iemtronics55184.2022.9795764","url":null,"abstract":"Cognitive dynamic systems are a new field of physical systems inspired by several areas of study such as neuroscience, cognitive science, computer science, mathematics, physics and engineering. Building on Fuster’s paradigm, a system is considered cognitive when it is capable of five fundamental processes to human cognition: the perception-action cycle, memory, attention, intelligence and language. With these capabilities, a cognitive dynamic system can sense its environment, interact with it, and learn from it through continued interactions. The goal of this paper is to provide a thorough review of the cognitive dynamic system framework, along with its theory, applications, and its two special functions: cognitive control and cognitive risk control.","PeriodicalId":442879,"journal":{"name":"2022 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114682543","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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