Pub Date : 2022-06-01DOI: 10.1109/iemtronics55184.2022.9795826
R. P. Ghosh, B. Gupta
Two arms of Microstrip Dipole antenna are printed on the same side of a substrate. But two arms of the Printed Dipole Antenna (PDA) are printed on the opposite sides and hence contain no ground plane. The Return Loss (RL) Bandwidth (BW) of PDA is much higher compared to Microstrip Dipole as it does not contain ground plane like the Microstrip Dipole and therefore Q value is low which results in large RL bandwidth. The PDA is fed by printed version of two wire transmission line. The cross polar discrimination is high as width to length ratio of the arm is very small. In general the width is kept below 0.05λ0. A novel design of PDA is reported in which the antenna arms have been widened to make it a Flag shaped to achieve large RL bandwidth. The -10dB RL bandwidth as high as 76% is achieved. Due to widening of the arms the fundamental resonant frequency and its first harmonic is stagger tuned to result a high RL. Three antennas are designed and simulated in MOM based simulator IE3D. One of them has been fabricated for experimental verification. The experimental result is in good agreement with the simulated results.
{"title":"Broadband Printed Dipole Antennas","authors":"R. P. Ghosh, B. Gupta","doi":"10.1109/iemtronics55184.2022.9795826","DOIUrl":"https://doi.org/10.1109/iemtronics55184.2022.9795826","url":null,"abstract":"Two arms of Microstrip Dipole antenna are printed on the same side of a substrate. But two arms of the Printed Dipole Antenna (PDA) are printed on the opposite sides and hence contain no ground plane. The Return Loss (RL) Bandwidth (BW) of PDA is much higher compared to Microstrip Dipole as it does not contain ground plane like the Microstrip Dipole and therefore Q value is low which results in large RL bandwidth. The PDA is fed by printed version of two wire transmission line. The cross polar discrimination is high as width to length ratio of the arm is very small. In general the width is kept below 0.05λ0. A novel design of PDA is reported in which the antenna arms have been widened to make it a Flag shaped to achieve large RL bandwidth. The -10dB RL bandwidth as high as 76% is achieved. Due to widening of the arms the fundamental resonant frequency and its first harmonic is stagger tuned to result a high RL. Three antennas are designed and simulated in MOM based simulator IE3D. One of them has been fabricated for experimental verification. The experimental result is in good agreement with the simulated results.","PeriodicalId":442879,"journal":{"name":"2022 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS)","volume":"54 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":"126435795","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/iemtronics55184.2022.9795810
Erfan Mostajeran, Arash Safavizadeh, S. Ebrahimi, J. Jatskevich
Diesel-engine generators can operate with variable speed to enhance their efficiency over a wide range of loading conditions. Constant-parameter voltage-behind-reactance (CPVBR) models have been developed for efficient simulation of three-phase wound-field synchronous generators (WFSGs). The CPVBR models use fixed branches for interfacing (without any incompatibility, e.g., the need for snubbers, etc.) and are not required to update their interfacing circuit in every time step of the simulation. This paper presents the application of the CPVBR model of a WFSG for efficient simulation of a variable-frequency/speed diesel-engine generator-rectifier system. Simulation studies are carried out in MATLAB using PLECS toolbox to verify the computational performance of the CPVBR model. It is demonstrated that the CPVBR model achieves superior computational performance (without compromising the accuracy) compared to the built-in models of the toolbox, i.e., qd0, stator VBR, and full VBR models.
{"title":"Efficient Simulation of Variable-Speed Diesel-Engine Generators Using Constant-Parameter Voltage-Behind-Reactance Formulation","authors":"Erfan Mostajeran, Arash Safavizadeh, S. Ebrahimi, J. Jatskevich","doi":"10.1109/iemtronics55184.2022.9795810","DOIUrl":"https://doi.org/10.1109/iemtronics55184.2022.9795810","url":null,"abstract":"Diesel-engine generators can operate with variable speed to enhance their efficiency over a wide range of loading conditions. Constant-parameter voltage-behind-reactance (CPVBR) models have been developed for efficient simulation of three-phase wound-field synchronous generators (WFSGs). The CPVBR models use fixed branches for interfacing (without any incompatibility, e.g., the need for snubbers, etc.) and are not required to update their interfacing circuit in every time step of the simulation. This paper presents the application of the CPVBR model of a WFSG for efficient simulation of a variable-frequency/speed diesel-engine generator-rectifier system. Simulation studies are carried out in MATLAB using PLECS toolbox to verify the computational performance of the CPVBR model. It is demonstrated that the CPVBR model achieves superior computational performance (without compromising the accuracy) compared to the built-in models of the toolbox, i.e., qd0, stator VBR, and full VBR models.","PeriodicalId":442879,"journal":{"name":"2022 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS)","volume":"139 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":"115776102","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/iemtronics55184.2022.9795734
Shorouq Al-Eidi, Omar A. Darwish, G. Husari, Y. Chen, M. Elkhodr
Many cybersecurity attacks utilize Covert Timing Channels as a method to secretly transmit (steal) sensitive information from target networks such as untrusted Internet of Things (IoT) and 5G/6G networks. Such attacks aim to violate the confidentiality and privacy of the data that resides in the targeted networks by transmitting the stolen information in a stealth manner over a prolonged period of time to avoid detection by cyber defenses and anti-exfiltration tools.In this work, we proposed a novel approach that utilize novel Artificial Intelligence (AI) algorithms, in particular, deep learning to detect and localize covert channels over cyber networks. Taking advantage of the rapidly improving deep learning algorithms in image processing, we convert the malicious and normal network traffic (or packets) inter-arrival times to colored images. Then, we implement an AI-based approach using the popular deep learning algorithm Convolutional Neural Network (CNN) to process images and detect the ones that contain malicious CTC activities. Finally, we design and conduct a set of experiments to evaluate the ability of our proposed system to detect and localize CTC-based privacy attacks. The conducted experiments show that our approach yielded a high accuracy of 96.75% in detecting stealth covert channels.
{"title":"Convolutional Neural Network Structure to Detect and Localize CTC Using Image Processing","authors":"Shorouq Al-Eidi, Omar A. Darwish, G. Husari, Y. Chen, M. Elkhodr","doi":"10.1109/iemtronics55184.2022.9795734","DOIUrl":"https://doi.org/10.1109/iemtronics55184.2022.9795734","url":null,"abstract":"Many cybersecurity attacks utilize Covert Timing Channels as a method to secretly transmit (steal) sensitive information from target networks such as untrusted Internet of Things (IoT) and 5G/6G networks. Such attacks aim to violate the confidentiality and privacy of the data that resides in the targeted networks by transmitting the stolen information in a stealth manner over a prolonged period of time to avoid detection by cyber defenses and anti-exfiltration tools.In this work, we proposed a novel approach that utilize novel Artificial Intelligence (AI) algorithms, in particular, deep learning to detect and localize covert channels over cyber networks. Taking advantage of the rapidly improving deep learning algorithms in image processing, we convert the malicious and normal network traffic (or packets) inter-arrival times to colored images. Then, we implement an AI-based approach using the popular deep learning algorithm Convolutional Neural Network (CNN) to process images and detect the ones that contain malicious CTC activities. Finally, we design and conduct a set of experiments to evaluate the ability of our proposed system to detect and localize CTC-based privacy attacks. The conducted experiments show that our approach yielded a high accuracy of 96.75% in detecting stealth covert channels.","PeriodicalId":442879,"journal":{"name":"2022 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS)","volume":"55 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":"130817000","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/iemtronics55184.2022.9795745
Ritu Chaturvedi, Vandana V. Patnaik
The differential diagnosis of diseases which share similar clinical features is a real and difficult problem in medicine. This paper demonstrates the use of data mining (DM) techniques to augment standard data profiling methods and establishes an efficient approach for an intelligent feature selection method for disease that share similar features. The results from experiments returned show that by using DM techniques to select features as an additional layer on top of data profiling, there is considerable improvement in the performance of the prediction model built to predict a disease such as "Psoriasis". A brief comparison between features selected by existing mining tools such as Weka and the proposed approach with respect to predictive accuracy is recorded in this paper. The proposed algorithm works as a promising tool for assisting diagnosis of disease like erythemato-squamous diseases, where the symptoms are overlapping. By combining data cleansing and knowledge discovery techniques, the algorithm aims to be "agnostic" and can be used on a wide variety of data standards with variable data quality. 1
{"title":"Intelligent Feature Selection on Multivariate Dataset using Advanced Data Profiling","authors":"Ritu Chaturvedi, Vandana V. Patnaik","doi":"10.1109/iemtronics55184.2022.9795745","DOIUrl":"https://doi.org/10.1109/iemtronics55184.2022.9795745","url":null,"abstract":"The differential diagnosis of diseases which share similar clinical features is a real and difficult problem in medicine. This paper demonstrates the use of data mining (DM) techniques to augment standard data profiling methods and establishes an efficient approach for an intelligent feature selection method for disease that share similar features. The results from experiments returned show that by using DM techniques to select features as an additional layer on top of data profiling, there is considerable improvement in the performance of the prediction model built to predict a disease such as \"Psoriasis\". A brief comparison between features selected by existing mining tools such as Weka and the proposed approach with respect to predictive accuracy is recorded in this paper. The proposed algorithm works as a promising tool for assisting diagnosis of disease like erythemato-squamous diseases, where the symptoms are overlapping. By combining data cleansing and knowledge discovery techniques, the algorithm aims to be \"agnostic\" and can be used on a wide variety of data standards with variable data quality. 1","PeriodicalId":442879,"journal":{"name":"2022 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS)","volume":"9 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":"133610029","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/iemtronics55184.2022.9795712
Yerson Taza-Aquino, Deyby Huamanchahua
In many countries, the rehabilitation of partial disability of the lower limbs performs the process traditionally due to the high cost of implementing physiotherapy and rehabilitation centers with robotic devices. Therefore, the primary motivation of this work is to propose the first design of an exoskeleton with adjustable links that can be adapted depending on the height of the user, muscle sensors (EMG) and position are used to achieve a better response of the patient's intention of movement and thus achieve rehabilitation of the legs. The exoskeleton in question was designed using the VDI 2206 methodology, and this work presents a proposal for mechanical and electronic design with the ability to withstand the user's weight. A study of stress analysis and simulation of the electronic circuit was carried out. The electronic circuit was simulated in the Proteus software, where the correct interaction of the sensors with the motors is achieved. The results obtained show that the design of the proposed exoskeleton manages to support the weight of a person of 75 Kg with a maximum height of 170 cm. These results were obtained after being subjected to the design of the exoskeleton to the stress analysis in the SolidWorks software. Another feature of the exoskeleton design is its low weight because the material chosen is aluminum alloy 6061 T-6, which can withstand all stress tests.
{"title":"Mechanical and Electronic Design of a Prototype of a Modular Exoskeleton for Lower-Limbs","authors":"Yerson Taza-Aquino, Deyby Huamanchahua","doi":"10.1109/iemtronics55184.2022.9795712","DOIUrl":"https://doi.org/10.1109/iemtronics55184.2022.9795712","url":null,"abstract":"In many countries, the rehabilitation of partial disability of the lower limbs performs the process traditionally due to the high cost of implementing physiotherapy and rehabilitation centers with robotic devices. Therefore, the primary motivation of this work is to propose the first design of an exoskeleton with adjustable links that can be adapted depending on the height of the user, muscle sensors (EMG) and position are used to achieve a better response of the patient's intention of movement and thus achieve rehabilitation of the legs. The exoskeleton in question was designed using the VDI 2206 methodology, and this work presents a proposal for mechanical and electronic design with the ability to withstand the user's weight. A study of stress analysis and simulation of the electronic circuit was carried out. The electronic circuit was simulated in the Proteus software, where the correct interaction of the sensors with the motors is achieved. The results obtained show that the design of the proposed exoskeleton manages to support the weight of a person of 75 Kg with a maximum height of 170 cm. These results were obtained after being subjected to the design of the exoskeleton to the stress analysis in the SolidWorks software. Another feature of the exoskeleton design is its low weight because the material chosen is aluminum alloy 6061 T-6, which can withstand all stress tests.","PeriodicalId":442879,"journal":{"name":"2022 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS)","volume":"102 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":"132205380","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/iemtronics55184.2022.9795848
Amirhossein Jahanfar, M. Iqbal
Solar water pumps must be the most optimum size to work efficiently and be at a reasonable price. The storage system can play a main role in both system reliability and the total cost of a solar water pumping project; thus, it should be designed carefully. Traditionally, only batteries or water tanks are used as primary storage system; each of them has its benefits and drawbacks. In this research, a new approach to a storage system is proposed, consisting of both batteries and water tanks at the same time. Such hybrid storage can decrease project cost and increase system reliability. To find the most optimum size for such a hybrid system an optimization algorithm named "Imperialist Competitive Algorithm (ICA)" is used to minimize the Life-Cycle Cost Analysis (LCCA) of the storage system. In this paper, a hybrid storage configuration for solar water pumping for a site in Iran is proposed, and results of the optimum size for that system using ICA are expressed. It is shown that the configuration is more feasible compared with many other configurations.
{"title":"An Optimum Sizing for a Hybrid Storage System in Solar Water Pumping Using ICA","authors":"Amirhossein Jahanfar, M. Iqbal","doi":"10.1109/iemtronics55184.2022.9795848","DOIUrl":"https://doi.org/10.1109/iemtronics55184.2022.9795848","url":null,"abstract":"Solar water pumps must be the most optimum size to work efficiently and be at a reasonable price. The storage system can play a main role in both system reliability and the total cost of a solar water pumping project; thus, it should be designed carefully. Traditionally, only batteries or water tanks are used as primary storage system; each of them has its benefits and drawbacks. In this research, a new approach to a storage system is proposed, consisting of both batteries and water tanks at the same time. Such hybrid storage can decrease project cost and increase system reliability. To find the most optimum size for such a hybrid system an optimization algorithm named \"Imperialist Competitive Algorithm (ICA)\" is used to minimize the Life-Cycle Cost Analysis (LCCA) of the storage system. In this paper, a hybrid storage configuration for solar water pumping for a site in Iran is proposed, and results of the optimum size for that system using ICA are expressed. It is shown that the configuration is more feasible compared with many other configurations.","PeriodicalId":442879,"journal":{"name":"2022 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS)","volume":"355 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":"115897943","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/iemtronics55184.2022.9795797
Ghadah Alshabana, Thao Tran, Marjan Saadati, Michael Thompson George, Ashritha Chitimalla
Coronavirus can be transmitted through the air by close proximity to infected persons. Commercial aircraft are a likely way to both transmit the virus among passengers and move the virus between locations. The importance of learning about where and how coronavirus has entered the United States will help further our understanding of the disease. Air travelers can come from countries or areas with a high rate of infection and may very well be at risk of being exposed to the virus. Therefore, as they reach the United States, the virus could easily spread. On our analysis, we utilized machine learning to determine if the number of flights into the Washington DC Metro Area had an effect on the number of cases and deaths reported in the city and surrounding area.
{"title":"Machine learning Models to Predict COVID-19 Cases","authors":"Ghadah Alshabana, Thao Tran, Marjan Saadati, Michael Thompson George, Ashritha Chitimalla","doi":"10.1109/iemtronics55184.2022.9795797","DOIUrl":"https://doi.org/10.1109/iemtronics55184.2022.9795797","url":null,"abstract":"Coronavirus can be transmitted through the air by close proximity to infected persons. Commercial aircraft are a likely way to both transmit the virus among passengers and move the virus between locations. The importance of learning about where and how coronavirus has entered the United States will help further our understanding of the disease. Air travelers can come from countries or areas with a high rate of infection and may very well be at risk of being exposed to the virus. Therefore, as they reach the United States, the virus could easily spread. On our analysis, we utilized machine learning to determine if the number of flights into the Washington DC Metro Area had an effect on the number of cases and deaths reported in the city and surrounding area.","PeriodicalId":442879,"journal":{"name":"2022 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS)","volume":"64 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":"124585791","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/iemtronics55184.2022.9795717
S. Broman, E. O'Hara, M. Ali
Longer life spans in today's society have contributed to the growth of degenerative disease prevalence, especially dementia. Dementia causes a deterioration in thought process and a decline in cognitive function, specifically thinking, reasoning, and remembering. While dementia cannot be completely prevented, its early detection can delay the onset of the disease. With the help of a machine learning algorithm, relevant attributes to detect the disease in its early stages can be refined and successful predictions can be made. To conduct this analysis, the Alzheimer Features and Exploratory Data Analysis for Predicting Dementia datasets were utilized. The following machine learning models were applied to the dataset: Naïve Bayes, Decision Trees, K-Nearest Neighbors, and Fully Connected Neural Networks. After evaluation of accuracy scores, confusion matrices for both Naïve Bayes and Decision Trees were determined to provide the best results among the models. While further investigation with a larger dataset is necessary, such models suggest that machine learning algorithms are a promising tool to detect and mitigate the growth of dementia in older populations.
{"title":"A Machine Learning Approach for the Early Detection of Dementia","authors":"S. Broman, E. O'Hara, M. Ali","doi":"10.1109/iemtronics55184.2022.9795717","DOIUrl":"https://doi.org/10.1109/iemtronics55184.2022.9795717","url":null,"abstract":"Longer life spans in today's society have contributed to the growth of degenerative disease prevalence, especially dementia. Dementia causes a deterioration in thought process and a decline in cognitive function, specifically thinking, reasoning, and remembering. While dementia cannot be completely prevented, its early detection can delay the onset of the disease. With the help of a machine learning algorithm, relevant attributes to detect the disease in its early stages can be refined and successful predictions can be made. To conduct this analysis, the Alzheimer Features and Exploratory Data Analysis for Predicting Dementia datasets were utilized. The following machine learning models were applied to the dataset: Naïve Bayes, Decision Trees, K-Nearest Neighbors, and Fully Connected Neural Networks. After evaluation of accuracy scores, confusion matrices for both Naïve Bayes and Decision Trees were determined to provide the best results among the models. While further investigation with a larger dataset is necessary, such models suggest that machine learning algorithms are a promising tool to detect and mitigate the growth of dementia in older populations.","PeriodicalId":442879,"journal":{"name":"2022 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS)","volume":"19 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":"114435938","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/iemtronics55184.2022.9795731
K. Mohan, Yogesh Kumar Choukiker
Multilayer aperture coupled patch resonator antenna (M-ACRA) introduced to achieve single band second order frequency response. L shaped truncated patch at 12GHz designed to achieve circular polarization and minimize cross polarization at the receiver section. A theoretical approach for demonstrating floquet excitation are explained, furthermore, current distribution of proposed design are demonstrated. Based on analysis mode, the operation principle for equivalent circuit model about proposed designed also discussed. The simulated results and antenna parameters are to be consider for aperture coupled based frequency selective surfaces, reconfigurable frequency selective surfaces, reconfigurable intelligent surface, etc.
{"title":"Multilayer Aperture Coupled Single Band Second Order Bandpass Patch Resonator","authors":"K. Mohan, Yogesh Kumar Choukiker","doi":"10.1109/iemtronics55184.2022.9795731","DOIUrl":"https://doi.org/10.1109/iemtronics55184.2022.9795731","url":null,"abstract":"Multilayer aperture coupled patch resonator antenna (M-ACRA) introduced to achieve single band second order frequency response. L shaped truncated patch at 12GHz designed to achieve circular polarization and minimize cross polarization at the receiver section. A theoretical approach for demonstrating floquet excitation are explained, furthermore, current distribution of proposed design are demonstrated. Based on analysis mode, the operation principle for equivalent circuit model about proposed designed also discussed. The simulated results and antenna parameters are to be consider for aperture coupled based frequency selective surfaces, reconfigurable frequency selective surfaces, reconfigurable intelligent surface, etc.","PeriodicalId":442879,"journal":{"name":"2022 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS)","volume":"10 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":"114976044","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/iemtronics55184.2022.9795762
Pravir Malik
By viewing light as a symmetrical, multi-layered construct, it is possible to envision a new genre of nano-cyborgs. In general cyborgs can be considered as a portmanteau of cybernetic and organic, and therefore as an entity consisting of both organic and mechatronic parts. However, in the multi-layered model of light subtle information existing in antecedent layers of light can be thought of as materializing through a process of quantization, that subsequently would require a nano-cyborg to interface with it, make sense of it, and act on it. Further quantum-level dynamics would necessitate nano-cyborgs of a tunneling type, annealing type, superposition type, and entanglement type, amongst others, that would have practical applications at nano-levels of different granularity. Such nano-cyborgs are envisioned to be built leveraging computational stratum at different levels of granularity ranging from the electromagnetic level, to the quantum particle level, to the level of atoms, to the level of molecular plans in cells. Immediate application areas of such light-based quantum-computational nano-cyborgs are envisioned to be in medical technology, material sciences, and alteration of genetic-type information, amongst others.
{"title":"Envisioning A Light-Based Quantum-Computational Nano-Cyborg","authors":"Pravir Malik","doi":"10.1109/iemtronics55184.2022.9795762","DOIUrl":"https://doi.org/10.1109/iemtronics55184.2022.9795762","url":null,"abstract":"By viewing light as a symmetrical, multi-layered construct, it is possible to envision a new genre of nano-cyborgs. In general cyborgs can be considered as a portmanteau of cybernetic and organic, and therefore as an entity consisting of both organic and mechatronic parts. However, in the multi-layered model of light subtle information existing in antecedent layers of light can be thought of as materializing through a process of quantization, that subsequently would require a nano-cyborg to interface with it, make sense of it, and act on it. Further quantum-level dynamics would necessitate nano-cyborgs of a tunneling type, annealing type, superposition type, and entanglement type, amongst others, that would have practical applications at nano-levels of different granularity. Such nano-cyborgs are envisioned to be built leveraging computational stratum at different levels of granularity ranging from the electromagnetic level, to the quantum particle level, to the level of atoms, to the level of molecular plans in cells. Immediate application areas of such light-based quantum-computational nano-cyborgs are envisioned to be in medical technology, material sciences, and alteration of genetic-type information, amongst others.","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":"123418443","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}