Pub Date : 2022-02-12DOI: 10.1109/AISP53593.2022.9760521
Bhukya Krishna Priya
Memory technology has been growing at a very fast rate in these past few years and the recent trend of replacing Volatile memories such as DRAM, with NonVolatile Memory (NVM) technologies such as Phase change Memory (PCM) and Spin Transfer Torque RAM(STT-RAM) is becoming more prevalent. But their drawback of not having a lifetime comparable to that of their Volatile counterparts, has still kept the idea of NVMs as cache, still a challenge. Apart from this, the information wm resist in the memory even though power is off and this may lead to data threats. Hence, to protect sensitive data, the Advanced Encryption Standard Counter Mode (AES-CTR) algorithm is used to encrypt the information, which is have a huge number of bit flips to be written on the memory. This paper deals with one such method to have the higher lifetime of NVM, namely PCM by having lesser the bit transitions to be written on the memory. The proposed architecture is implemented in Gem5 simulator and also synthesized and implemented using Xilinx ISE 14.7. The model has also been simulated using Parsec and iSim using standardized test vectors and the result shows that 5% improvement in lifetime is observed, 21% and 25% of the hardware components are utilized for read and write phase.
在过去的几年里，存储技术一直在以非常快的速度增长，最近的趋势是用非易失性存储器(NVM)技术(如相变存储器(PCM)和自旋传递扭矩RAM(STT-RAM))取代易失性存储器(如DRAM)，这一趋势正变得越来越普遍。但是它们的缺点是寿命不能与Volatile相媲美，这使得nvm作为缓存的想法仍然是一个挑战。除此之外，即使电源关闭，信息也会在内存中抵抗，这可能导致数据威胁。因此，为了保护敏感数据，采用AES-CTR (Advanced Encryption Standard Counter Mode)算法对信息进行加密，这些信息有大量的位翻转需要写入内存。本文讨论了一种具有更高NVM寿命的方法，即PCM，通过减少写入存储器的位转换。所提出的架构在Gem5模拟器中实现，并使用Xilinx ISE 14.7进行合成和实现。采用标准化测试向量，利用Parsec和iSim对该模型进行了仿真，结果表明，该模型的使用寿命提高了5%，读写阶段分别利用了21%和25%的硬件组件。
{"title":"Enhance the Lifetime of PCM Memory by Reducing the Bit Flips","authors":"Bhukya Krishna Priya","doi":"10.1109/AISP53593.2022.9760521","DOIUrl":"https://doi.org/10.1109/AISP53593.2022.9760521","url":null,"abstract":"Memory technology has been growing at a very fast rate in these past few years and the recent trend of replacing Volatile memories such as DRAM, with NonVolatile Memory (NVM) technologies such as Phase change Memory (PCM) and Spin Transfer Torque RAM(STT-RAM) is becoming more prevalent. But their drawback of not having a lifetime comparable to that of their Volatile counterparts, has still kept the idea of NVMs as cache, still a challenge. Apart from this, the information wm resist in the memory even though power is off and this may lead to data threats. Hence, to protect sensitive data, the Advanced Encryption Standard Counter Mode (AES-CTR) algorithm is used to encrypt the information, which is have a huge number of bit flips to be written on the memory. This paper deals with one such method to have the higher lifetime of NVM, namely PCM by having lesser the bit transitions to be written on the memory. The proposed architecture is implemented in Gem5 simulator and also synthesized and implemented using Xilinx ISE 14.7. The model has also been simulated using Parsec and iSim using standardized test vectors and the result shows that 5% improvement in lifetime is observed, 21% and 25% of the hardware components are utilized for read and write phase.","PeriodicalId":6793,"journal":{"name":"2022 2nd International Conference on Artificial Intelligence and Signal Processing (AISP)","volume":"142 1","pages":"1-7"},"PeriodicalIF":0.0,"publicationDate":"2022-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73577148","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 : 2022-02-12DOI: 10.1109/AISP53593.2022.9760589
R. Saha, B. Bhowmick, Srimata Baishya
Due to the requirement in recent years, the semiconductor industry have used the channel material beyond Silicon. In this paper, a dual material gate (DMG) FinFET is designed and two different channel materials like Ge and GaAs is considered in simulation. The transfer characteristic of DMG-FinFET is compared for two different channel materials like Ge and GaAs. A comparative analysis of RF/analog parameters like transconductance (gm), output conductance (gd), gate capacitance (CGG), intrinsic gain (gm/gd), cut off frequency (ft), and gain frequency product (GFP) is also discussed. Results show that Ge DMG-FinFET has higher value of Ion/Ioff. Investigation also reveals that Ge DMG-FinFET has higher value of gm, gain (gm/gd), and ft than GaAs DMG-FinFET in weak to moderate inversion region.
{"title":"RF/Analog Parameters in DMG-FinFET for Channel Material Beyond Si","authors":"R. Saha, B. Bhowmick, Srimata Baishya","doi":"10.1109/AISP53593.2022.9760589","DOIUrl":"https://doi.org/10.1109/AISP53593.2022.9760589","url":null,"abstract":"Due to the requirement in recent years, the semiconductor industry have used the channel material beyond Silicon. In this paper, a dual material gate (DMG) FinFET is designed and two different channel materials like Ge and GaAs is considered in simulation. The transfer characteristic of DMG-FinFET is compared for two different channel materials like Ge and GaAs. A comparative analysis of RF/analog parameters like transconductance (g<inf>m</inf>), output conductance (g<inf>d</inf>), gate capacitance (C<inf>GG</inf>), intrinsic gain (g<inf>m</inf>/g<inf>d</inf>), cut off frequency (f<inf>t</inf>), and gain frequency product (GFP) is also discussed. Results show that Ge DMG-FinFET has higher value of I<inf>on</inf>/I<inf>off</inf>. Investigation also reveals that Ge DMG-FinFET has higher value of g<inf>m</inf>, gain (g<inf>m</inf>/g<inf>d</inf>), and ft than GaAs DMG-FinFET in weak to moderate inversion region.","PeriodicalId":6793,"journal":{"name":"2022 2nd International Conference on Artificial Intelligence and Signal Processing (AISP)","volume":"69 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2022-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75535806","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 : 2022-02-12DOI: 10.1109/AISP53593.2022.9760637
N. Anusha, B. P. Kumar, Lucky Agarwal
In this study, we reviewed on smart wearable to the external environment. Wearable devices are a significant topic in both marketable and hypothetical areas. Aggregate request for novelty has managed to better research and innovative yields making gainful chances. The wearable technology is one of the fastest growing technologies in entertainment, health and education. A smart fabric is a part of the cutting-edge scientific field of fashion industry, notwithstanding with the booming improvement of internet industry and smart phone devices. There is a large scope for smart gadgets which are multifunctional, user-friendly with amazing comfort features that is based on advanced electronic fabric systems. This review target to support researchers to enhance perceive recent request trends.
{"title":"Study on Recent Trends of Smart Wearable","authors":"N. Anusha, B. P. Kumar, Lucky Agarwal","doi":"10.1109/AISP53593.2022.9760637","DOIUrl":"https://doi.org/10.1109/AISP53593.2022.9760637","url":null,"abstract":"In this study, we reviewed on smart wearable to the external environment. Wearable devices are a significant topic in both marketable and hypothetical areas. Aggregate request for novelty has managed to better research and innovative yields making gainful chances. The wearable technology is one of the fastest growing technologies in entertainment, health and education. A smart fabric is a part of the cutting-edge scientific field of fashion industry, notwithstanding with the booming improvement of internet industry and smart phone devices. There is a large scope for smart gadgets which are multifunctional, user-friendly with amazing comfort features that is based on advanced electronic fabric systems. This review target to support researchers to enhance perceive recent request trends.","PeriodicalId":6793,"journal":{"name":"2022 2nd International Conference on Artificial Intelligence and Signal Processing (AISP)","volume":"137 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2022-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76743880","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 : 2022-02-12DOI: 10.1109/AISP53593.2022.9760605
Y. Venkata Lakshmaiah, B. Roy, F. Falcone
In this paper, we have a tendency to a modified printed monopole antenna for wireless applications. The proposed antenna consists of an inserted fed to radiating patch with two L slots and two U slots. The designed antenna was found to operate at two wireless frequency bands of 3.206.00GHz, and 6.58-6.73GHz. This design achieves better impedance matching without any additional circuits. The parametric studies and radiation characteristics show the antenna has good characteristics and is applicable for mobile wireless applications.
{"title":"Symmetrical slot in patch for frequency band addition and rejection characteristics","authors":"Y. Venkata Lakshmaiah, B. Roy, F. Falcone","doi":"10.1109/AISP53593.2022.9760605","DOIUrl":"https://doi.org/10.1109/AISP53593.2022.9760605","url":null,"abstract":"In this paper, we have a tendency to a modified printed monopole antenna for wireless applications. The proposed antenna consists of an inserted fed to radiating patch with two L slots and two U slots. The designed antenna was found to operate at two wireless frequency bands of 3.206.00GHz, and 6.58-6.73GHz. This design achieves better impedance matching without any additional circuits. The parametric studies and radiation characteristics show the antenna has good characteristics and is applicable for mobile wireless applications.","PeriodicalId":6793,"journal":{"name":"2022 2nd International Conference on Artificial Intelligence and Signal Processing (AISP)","volume":"31 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2022-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82587621","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 : 2022-02-12DOI: 10.1109/AISP53593.2022.9760641
Vishal Nandan Medhi, Kaustav Moni Basumatary, R. Murugan, Tripti Goel
Parkinson’s disease (PD) is a sensory system issue that may prompt shaking, firmness and trouble in strolling. Hence, it is a non-communicable disease; hence, proper diagnosis will prevent further damage to the body at an early stage. Most of the symptoms occur due to a decrease in the dopamine level in the patient’s body. Literature has shown that it is feasible to distinguish PD by requesting that the patient draw a spiral or wave and track their drawing and pen pressure speed afterward. The drawing speed is increasingly slow pen pressure is lower for an individual having the PD. The methodology uses the Histogram of Oriented Gradients (HOG) as the feature descriptor and proposed the weighted Random Forest (WRF) classifier technique. HOG will track the intensity changes in the images, and the WRF works with a small dataset to provide effective results. This strategy provides a very good testing accuracy of 93% and 92% on the wave and spiral datasets. This method is a very robust and cost-effective method for the early detection of PD.
{"title":"An Early Detection of Parkinson’s Disease from Geometric Drawings","authors":"Vishal Nandan Medhi, Kaustav Moni Basumatary, R. Murugan, Tripti Goel","doi":"10.1109/AISP53593.2022.9760641","DOIUrl":"https://doi.org/10.1109/AISP53593.2022.9760641","url":null,"abstract":"Parkinson’s disease (PD) is a sensory system issue that may prompt shaking, firmness and trouble in strolling. Hence, it is a non-communicable disease; hence, proper diagnosis will prevent further damage to the body at an early stage. Most of the symptoms occur due to a decrease in the dopamine level in the patient’s body. Literature has shown that it is feasible to distinguish PD by requesting that the patient draw a spiral or wave and track their drawing and pen pressure speed afterward. The drawing speed is increasingly slow pen pressure is lower for an individual having the PD. The methodology uses the Histogram of Oriented Gradients (HOG) as the feature descriptor and proposed the weighted Random Forest (WRF) classifier technique. HOG will track the intensity changes in the images, and the WRF works with a small dataset to provide effective results. This strategy provides a very good testing accuracy of 93% and 92% on the wave and spiral datasets. This method is a very robust and cost-effective method for the early detection of PD.","PeriodicalId":6793,"journal":{"name":"2022 2nd International Conference on Artificial Intelligence and Signal Processing (AISP)","volume":"37 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2022-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89012081","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 : 2022-02-12DOI: 10.1109/AISP53593.2022.9760550
V. Siddhartha, S. Mahapatra
In this paper, a depth control algorithm for an autonomous underwater vehicle (AUV) is proposed using a derivative feedback-based optimal control technique. The control algorithm is formulated using a Linear Matrix Inequalities (LMI) and implemented using semi-definite programming (SDP). The controller is designed using a linear quadratic regulator (LQR). Furthermore, the gains obtained using the LQR technique are subjected to derivative control action to obtain accurate tracking of depth. The control law is obtained by solving the LMI using MATLAB/Simulink through the YALMIP toolbox. From the simulation results, the desired depth is effectively tracked using the control algorithm.
{"title":"Design of a State Derivative Optimal Control Law Using LMI Technique for Diving Motion of Autonomous Underwater Vehicle","authors":"V. Siddhartha, S. Mahapatra","doi":"10.1109/AISP53593.2022.9760550","DOIUrl":"https://doi.org/10.1109/AISP53593.2022.9760550","url":null,"abstract":"In this paper, a depth control algorithm for an autonomous underwater vehicle (AUV) is proposed using a derivative feedback-based optimal control technique. The control algorithm is formulated using a Linear Matrix Inequalities (LMI) and implemented using semi-definite programming (SDP). The controller is designed using a linear quadratic regulator (LQR). Furthermore, the gains obtained using the LQR technique are subjected to derivative control action to obtain accurate tracking of depth. The control law is obtained by solving the LMI using MATLAB/Simulink through the YALMIP toolbox. From the simulation results, the desired depth is effectively tracked using the control algorithm.","PeriodicalId":6793,"journal":{"name":"2022 2nd International Conference on Artificial Intelligence and Signal Processing (AISP)","volume":"8 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2022-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83193269","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 : 2022-02-12DOI: 10.1109/AISP53593.2022.9760627
Rasmi Ranjan Panigrahi, M. Biswal, Manohar Mishra
In this work, a report on different signal decomposition techniques (time-frequency TF) applied to power quality (PQ) events are provided. In a system with hybrid renewable sources, nonlinear load points and capacitor bank, the operation of individual units can affect the quality of the signals while switching from one state to another or during varying operating modes. In this context, the grid operating state is another concern which cannot be neglected. Considering the different possible operating states and operating conditions of system and individual equipment, different signal decomposition techniques are selected and the responses for individual events are analyzed. The Empirical Mode Decomposition (EMD), Ensembled Empirical Mode Decomposition (EEMD) and Intrinsic Time Decomposition (ITD) techniques are selected for signal analysis. Cases such as noise, harmonics, voltage sag, and nonlinear load switching events are simulated and presented in the work.
{"title":"Power Quality Assessment in a Microgrid System using Signal Decomposition Techniques","authors":"Rasmi Ranjan Panigrahi, M. Biswal, Manohar Mishra","doi":"10.1109/AISP53593.2022.9760627","DOIUrl":"https://doi.org/10.1109/AISP53593.2022.9760627","url":null,"abstract":"In this work, a report on different signal decomposition techniques (time-frequency TF) applied to power quality (PQ) events are provided. In a system with hybrid renewable sources, nonlinear load points and capacitor bank, the operation of individual units can affect the quality of the signals while switching from one state to another or during varying operating modes. In this context, the grid operating state is another concern which cannot be neglected. Considering the different possible operating states and operating conditions of system and individual equipment, different signal decomposition techniques are selected and the responses for individual events are analyzed. The Empirical Mode Decomposition (EMD), Ensembled Empirical Mode Decomposition (EEMD) and Intrinsic Time Decomposition (ITD) techniques are selected for signal analysis. Cases such as noise, harmonics, voltage sag, and nonlinear load switching events are simulated and presented in the work.","PeriodicalId":6793,"journal":{"name":"2022 2nd International Conference on Artificial Intelligence and Signal Processing (AISP)","volume":"36 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2022-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90258665","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 : 2022-02-12DOI: 10.1109/AISP53593.2022.9760635
Sireesha Gundu, Hussain Syed, J. Harikiran
Activity recognition in drone-based surveillance is related to many computer vision problems such as pose estimation, object detection, image retrieval, face recognition, frame tagging in videos, and video action recognition. In a drone-based surveillance system, detection and recognition of human activities in a single frame is a challenging task as the clips are shot from an aerial view. Unlike activity recognition in static camera-captured videos where spatio-temporal features are utilized, they are not utilized in drone-captured images. This problem is addressed in this paper using HOG and Mask-RCNN. Experimental results show that the proposed method can be obtained more accurate results in many drone-based frames. This work produces high-quality segmentation through instance segmentation in addition to the histograms gradient-based method and also improves the accuracy of object detection in aerial images and gives the best classification results.
{"title":"Human Detection in Aerial Images using Deep Learning Techniques","authors":"Sireesha Gundu, Hussain Syed, J. Harikiran","doi":"10.1109/AISP53593.2022.9760635","DOIUrl":"https://doi.org/10.1109/AISP53593.2022.9760635","url":null,"abstract":"Activity recognition in drone-based surveillance is related to many computer vision problems such as pose estimation, object detection, image retrieval, face recognition, frame tagging in videos, and video action recognition. In a drone-based surveillance system, detection and recognition of human activities in a single frame is a challenging task as the clips are shot from an aerial view. Unlike activity recognition in static camera-captured videos where spatio-temporal features are utilized, they are not utilized in drone-captured images. This problem is addressed in this paper using HOG and Mask-RCNN. Experimental results show that the proposed method can be obtained more accurate results in many drone-based frames. This work produces high-quality segmentation through instance segmentation in addition to the histograms gradient-based method and also improves the accuracy of object detection in aerial images and gives the best classification results.","PeriodicalId":6793,"journal":{"name":"2022 2nd International Conference on Artificial Intelligence and Signal Processing (AISP)","volume":"48 1","pages":"1-10"},"PeriodicalIF":0.0,"publicationDate":"2022-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78253809","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 : 2022-02-12DOI: 10.1109/AISP53593.2022.9760556
A. Mohammad, M. Suneetha, M. Muqeet
A modern-day security technology is the Automatic Number Plate Recognition (ANPR) system. The fundamental component of an ANPR system is image processing. This uses an optical character recognition (OCR) approach to read and extract characters from a vehicle registration plate image. Automatic Number Plate Recognition (ANPR) has been popular in a variety of settings. It can be used by highway tollgate authorities to allow vehicles to enter toll roads by automatically recognising their license plates, providing them with a toll-slip, and then opening the road. Parking authorities in areas like malls and hotels use this technique to assign distinct parking spaces to individual cars and allow them to park in their designated area. We snap images of the license plate with this ANPR device, then process and extract every character of the license plate for exact detection. The crucial phase of ANPR is OCR, which extracts and converts the characters on the acquired image of the vehicle registration plate into text that can be decoded further. In this study, we propose a method for parking rule offenders that involves storing the extracted number plates in a database and cross-verifying them against existing registered number plates that have paid the parking fee. Our proposed method can also detect stolen autos.
{"title":"An Efficient Method for Vehicle theft and Parking rule Violators Detection using Automatic Number Plate Recognition","authors":"A. Mohammad, M. Suneetha, M. Muqeet","doi":"10.1109/AISP53593.2022.9760556","DOIUrl":"https://doi.org/10.1109/AISP53593.2022.9760556","url":null,"abstract":"A modern-day security technology is the Automatic Number Plate Recognition (ANPR) system. The fundamental component of an ANPR system is image processing. This uses an optical character recognition (OCR) approach to read and extract characters from a vehicle registration plate image. Automatic Number Plate Recognition (ANPR) has been popular in a variety of settings. It can be used by highway tollgate authorities to allow vehicles to enter toll roads by automatically recognising their license plates, providing them with a toll-slip, and then opening the road. Parking authorities in areas like malls and hotels use this technique to assign distinct parking spaces to individual cars and allow them to park in their designated area. We snap images of the license plate with this ANPR device, then process and extract every character of the license plate for exact detection. The crucial phase of ANPR is OCR, which extracts and converts the characters on the acquired image of the vehicle registration plate into text that can be decoded further. In this study, we propose a method for parking rule offenders that involves storing the extracted number plates in a database and cross-verifying them against existing registered number plates that have paid the parking fee. Our proposed method can also detect stolen autos.","PeriodicalId":6793,"journal":{"name":"2022 2nd International Conference on Artificial Intelligence and Signal Processing (AISP)","volume":"5 2 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2022-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78328168","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 : 2022-02-12DOI: 10.1109/AISP53593.2022.9760571
V. Kollipara, Samineni Peddakrishna
This paper presents a design approach to enhance the excitation modes on a rectangular patch using characteristic mode analysis (CMA). The design begins with a rectangular patch of 18×20 mm2 dimensions. Thereby introduced a truncation on the bottom edge of the patch which excites an additional two higher-order modes from the basic lower-order modes. By arranging truncation in a step-like pattern with extended slot produces four modes at 7.3 GHz, 9.7 GHz, 12.12 GHz, and 12.21 GHz is concerning Mode1, Mode2, Mode4, and Mode5, respectively. The excited modes and their surface current distribution will provide physical insight into the design of either wideband or multiband operation. This can be achieved with proper optimization of the feed line.
{"title":"Enhancement of Higher Order Modes Using Characteristic Mode Analysis","authors":"V. Kollipara, Samineni Peddakrishna","doi":"10.1109/AISP53593.2022.9760571","DOIUrl":"https://doi.org/10.1109/AISP53593.2022.9760571","url":null,"abstract":"This paper presents a design approach to enhance the excitation modes on a rectangular patch using characteristic mode analysis (CMA). The design begins with a rectangular patch of 18×20 mm2 dimensions. Thereby introduced a truncation on the bottom edge of the patch which excites an additional two higher-order modes from the basic lower-order modes. By arranging truncation in a step-like pattern with extended slot produces four modes at 7.3 GHz, 9.7 GHz, 12.12 GHz, and 12.21 GHz is concerning Mode1, Mode2, Mode4, and Mode5, respectively. The excited modes and their surface current distribution will provide physical insight into the design of either wideband or multiband operation. This can be achieved with proper optimization of the feed line.","PeriodicalId":6793,"journal":{"name":"2022 2nd International Conference on Artificial Intelligence and Signal Processing (AISP)","volume":"311 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2022-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75973228","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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