Pub Date : 2020-11-05DOI: 10.1109/ICECA49313.2020.9297579
Purnima Bairagi, Abhishek Bhatt, Devant Sen
The spectrum allocation is the big problem in Cognitive Radio Network (CRN) and the reason is the unreliable deeds of Secondary Users (SU). The Secondary Users (SU) are reliable users and licensedusers in the network. These users are not responsible for malicious activities in CRN. The secondary users are using the free spectrum bands and also sometimes use the spectrum holes. The high strength of the attacker is also disturbing the actual performance PU as well as SU. This paper proposed a novel Global System for Mobile Communication with Prevention (GSMP) scheme to reduce the higher signal strength of malevolent nodes. The malevolent node transmits data from full of energy that passed over the actual receiver in the network. The mobile devices or nodes maintain the connection with others by sending control packets and after that exchanging information through established connections. The nodes are unknown from the attacker because it forwards the fake messages of the route in high strength. The attacker is detected by its strength i.e. it uses for forwarding of bogus packets that consumes the available bandwidth and by that not sends the data to the next neighbor node or sends up to the destination in the network. The proposed GSMP scheme is identified as the high signal strength at any intermediate node in the network. The higher signal strength again reaches normal by wedge its source i.e. attacker. The concert of propose GSMP is measured by different performance metrics.
频谱分配是认知无线网络(CRN)中的一大难题，其原因是次要用户(SU)的行为不可靠。从用户(Secondary Users)是指网络中的可靠用户和license用户。这些用户不对CRN中的恶意活动负责。二级用户使用空闲频段，有时也使用频谱孔。由于攻击者的高强度干扰了系统的实际性能，本文提出了一种新的GSMP (Global System for Mobile Communication with Prevention)方案来降低恶意节点的高信号强度。恶意节点通过网络中的实际接收器传输充满能量的数据。移动设备或节点通过发送控制报文来保持与其他设备或节点的连接，然后通过已建立的连接交换信息。节点是未知的，因为它以高强度转发路由的假消息。攻击者通过其强度来检测，即它用于转发消耗可用带宽的伪造数据包，并且不将数据发送到下一个邻居节点或发送到网络中的目的地。所提出的GSMP方案在网络的任何中间节点上都具有高信号强度。较高的信号强度通过楔入其源即攻击者再次达到正常。提出的GSMP的一致性通过不同的性能指标来衡量。
{"title":"A Global System for Mobile Communication with Prevention to Reduce Higher Signal Strength in CRN","authors":"Purnima Bairagi, Abhishek Bhatt, Devant Sen","doi":"10.1109/ICECA49313.2020.9297579","DOIUrl":"https://doi.org/10.1109/ICECA49313.2020.9297579","url":null,"abstract":"The spectrum allocation is the big problem in Cognitive Radio Network (CRN) and the reason is the unreliable deeds of Secondary Users (SU). The Secondary Users (SU) are reliable users and licensedusers in the network. These users are not responsible for malicious activities in CRN. The secondary users are using the free spectrum bands and also sometimes use the spectrum holes. The high strength of the attacker is also disturbing the actual performance PU as well as SU. This paper proposed a novel Global System for Mobile Communication with Prevention (GSMP) scheme to reduce the higher signal strength of malevolent nodes. The malevolent node transmits data from full of energy that passed over the actual receiver in the network. The mobile devices or nodes maintain the connection with others by sending control packets and after that exchanging information through established connections. The nodes are unknown from the attacker because it forwards the fake messages of the route in high strength. The attacker is detected by its strength i.e. it uses for forwarding of bogus packets that consumes the available bandwidth and by that not sends the data to the next neighbor node or sends up to the destination in the network. The proposed GSMP scheme is identified as the high signal strength at any intermediate node in the network. The higher signal strength again reaches normal by wedge its source i.e. attacker. The concert of propose GSMP is measured by different performance metrics.","PeriodicalId":297285,"journal":{"name":"2020 4th International Conference on Electronics, Communication and Aerospace Technology (ICECA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123044276","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 : 2020-11-05DOI: 10.1109/ICECA49313.2020.9297489
Chiranjit R Patel, Vivek Urankar, Vivek B A, Sampath Kumar R
A simple and effective method for matrices multiplication is proposed. The determination of the resultant output matrix can either performed in parallel or sequentially, both resulting in the same output. The selection of the algorithm is application-specific and filters down to the frequency of operation or power consumption. Multipliers and adders are the main hardware blocks in a matrix multiplication system. Hence, choosing a multiplier which is not only fast but also consumes lesser power and area is vital. This study also proposes a modified 2-bit and 4-bit multiplier architectures based on Vedic mathematics, which is proven to be more efficient than the standard architectures. The simulations are performed using Cadence Virtuoso 45nm CMOS technology. The proposed 7T SRAM cell makes use separate write and reads ports which are controlled by Read Word Line (RWL) and Write Word Line (WWL). Specter simulations are performed for voltage ranges from 0.8V to 1.5V. The simulations also show that the matrix multiplier of 2-bit and 4-bit elements can operate at 2GHz and 0.7GHz at 1.2V respectively, and consumes an average of 140$mu$W and 350$mu$W. The layouts designed in 45nm are found to be matching with the schematic (LVS clean) and follows all Foundry rules (DRC clean).
{"title":"2x2 Matrix Multiplication with 4-Bit elements in 45nm CMOS Technology","authors":"Chiranjit R Patel, Vivek Urankar, Vivek B A, Sampath Kumar R","doi":"10.1109/ICECA49313.2020.9297489","DOIUrl":"https://doi.org/10.1109/ICECA49313.2020.9297489","url":null,"abstract":"A simple and effective method for matrices multiplication is proposed. The determination of the resultant output matrix can either performed in parallel or sequentially, both resulting in the same output. The selection of the algorithm is application-specific and filters down to the frequency of operation or power consumption. Multipliers and adders are the main hardware blocks in a matrix multiplication system. Hence, choosing a multiplier which is not only fast but also consumes lesser power and area is vital. This study also proposes a modified 2-bit and 4-bit multiplier architectures based on Vedic mathematics, which is proven to be more efficient than the standard architectures. The simulations are performed using Cadence Virtuoso 45nm CMOS technology. The proposed 7T SRAM cell makes use separate write and reads ports which are controlled by Read Word Line (RWL) and Write Word Line (WWL). Specter simulations are performed for voltage ranges from 0.8V to 1.5V. The simulations also show that the matrix multiplier of 2-bit and 4-bit elements can operate at 2GHz and 0.7GHz at 1.2V respectively, and consumes an average of 140$mu$W and 350$mu$W. The layouts designed in 45nm are found to be matching with the schematic (LVS clean) and follows all Foundry rules (DRC clean).","PeriodicalId":297285,"journal":{"name":"2020 4th International Conference on Electronics, Communication and Aerospace Technology (ICECA)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124008729","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 : 2020-11-05DOI: 10.1109/ICECA49313.2020.9297591
K. R. Jothi, S S Sivaraju, Priyanka Yawalkar
Aphasia is a communication disorder that hinders the ability to express and communicate with society. Aphasia individual can face difficulties in sentence formation, opinions and trouble with pronunciation. In this survey paper, various techniques have been reviewed based on previous researches including diagnosis and treatment. Automatic diagnosis can evaluate the severity level of aphasia disorder. The important feature of this disorder is that it will not affect their intelligence. This motivated to come up with a speech assessment system which will evaluate speech based on acoustic features. Further, speech will classify into Aphasia quotient score (0 - 100). This system will analyse aphasic speech and provides feedback to the patients. This will help them to improve their speaking and reading skills.
{"title":"AI based Speech Language Therapy using Speech Quality Parameters for Aphasia Person: A Comprehensive Review","authors":"K. R. Jothi, S S Sivaraju, Priyanka Yawalkar","doi":"10.1109/ICECA49313.2020.9297591","DOIUrl":"https://doi.org/10.1109/ICECA49313.2020.9297591","url":null,"abstract":"Aphasia is a communication disorder that hinders the ability to express and communicate with society. Aphasia individual can face difficulties in sentence formation, opinions and trouble with pronunciation. In this survey paper, various techniques have been reviewed based on previous researches including diagnosis and treatment. Automatic diagnosis can evaluate the severity level of aphasia disorder. The important feature of this disorder is that it will not affect their intelligence. This motivated to come up with a speech assessment system which will evaluate speech based on acoustic features. Further, speech will classify into Aphasia quotient score (0 - 100). This system will analyse aphasic speech and provides feedback to the patients. This will help them to improve their speaking and reading skills.","PeriodicalId":297285,"journal":{"name":"2020 4th International Conference on Electronics, Communication and Aerospace Technology (ICECA)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121223933","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 : 2020-11-05DOI: 10.1109/ICECA49313.2020.9297577
S. Bathla, N. Gaur
Organic semiconductors have recently gained significant research interest due to its flexible applications, low fabrication cost, large area and the profound advantages over the existing inorganic semiconductors. Out of this, the parameter that has gained increased research significance is Mobility. Mobility of organic semiconductors are not as good as its inorganic counterparts. Now-a-days organic semiconductors have gained much progress to improve its mobility when compared to inorganic semiconductors. One way to improve mobility is to use multiple gates as comparison to single gate. The results of the proposed research work has clearly demonstrates the comparison between SG-OFET and DG-OFET characteristics and its effects on mobility. Results are also shown that the same effect can be observed in case of inorganic semiconductors. OFET structures are designed and the characteristics are obtained by using SILVACO tool.
{"title":"Improving Device Performance of OFET by Changing its Geometry","authors":"S. Bathla, N. Gaur","doi":"10.1109/ICECA49313.2020.9297577","DOIUrl":"https://doi.org/10.1109/ICECA49313.2020.9297577","url":null,"abstract":"Organic semiconductors have recently gained significant research interest due to its flexible applications, low fabrication cost, large area and the profound advantages over the existing inorganic semiconductors. Out of this, the parameter that has gained increased research significance is Mobility. Mobility of organic semiconductors are not as good as its inorganic counterparts. Now-a-days organic semiconductors have gained much progress to improve its mobility when compared to inorganic semiconductors. One way to improve mobility is to use multiple gates as comparison to single gate. The results of the proposed research work has clearly demonstrates the comparison between SG-OFET and DG-OFET characteristics and its effects on mobility. Results are also shown that the same effect can be observed in case of inorganic semiconductors. OFET structures are designed and the characteristics are obtained by using SILVACO tool.","PeriodicalId":297285,"journal":{"name":"2020 4th International Conference on Electronics, Communication and Aerospace Technology (ICECA)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129194447","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 : 2020-11-05DOI: 10.1109/ICECA49313.2020.9297443
Tejas S. Gaidhani, Mohan P. Thakre
High-voltage direct-current (HVDC) grid protection strategy has a broad research scope. Many approaches were developed during restrain DC fault currents. The modular Multilevel Converters (MMCs) are used in the proposed research work. In this method, DCCBs is temporarily by-passed at MMC sub-modules. When the fault is isolated at DCCBs, MMCs will remain at normal state. In this, two actions are observed, they are MMC blocking and no corrective action. A fault algorithm detection & distinction is being used and their effect forth M MC by-passage is observed. Results of simulation show that synchronization of MMCs & DCCBs significantly decreases current of dc fault.
{"title":"Analysis of MMC Coordination with Hybrid DC Breakers for HVDC Grid Protection","authors":"Tejas S. Gaidhani, Mohan P. Thakre","doi":"10.1109/ICECA49313.2020.9297443","DOIUrl":"https://doi.org/10.1109/ICECA49313.2020.9297443","url":null,"abstract":"High-voltage direct-current (HVDC) grid protection strategy has a broad research scope. Many approaches were developed during restrain DC fault currents. The modular Multilevel Converters (MMCs) are used in the proposed research work. In this method, DCCBs is temporarily by-passed at MMC sub-modules. When the fault is isolated at DCCBs, MMCs will remain at normal state. In this, two actions are observed, they are MMC blocking and no corrective action. A fault algorithm detection & distinction is being used and their effect forth M MC by-passage is observed. Results of simulation show that synchronization of MMCs & DCCBs significantly decreases current of dc fault.","PeriodicalId":297285,"journal":{"name":"2020 4th International Conference on Electronics, Communication and Aerospace Technology (ICECA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129055623","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 : 2020-11-05DOI: 10.1109/ICECA49313.2020.9297544
M. Chandraprabha, Rajesh Kumar Dhanaraj
Predictive analytics is a statistical technique used to forecast and investigate the development from past chronological data or to extract the information from data. With the help of rising technologies like predictive analytics in data mining, machine learning combining with Internet of Things [IoT], the major challenges in crop yield can be solved and pave way to earn profit. Machine learning means the process of making the system to learn from the previous experiences that help in prediction. In this paper, an conjectural evaluation on diverse prediction algorithms like support vector machines (SVM), recurrent neural networks (RNN), K nearest neighbour regression (KNN-R), Naive Bayes, BayesNet, support vector regression (SVR) etc., is done and its performance are described on the basis of error rates and accuracy level in crop yield. BayesNet shows the higher accuracy of about 97.53% and RNN has less percentage error rates that dominate other algorithms in harvest prediction.
{"title":"Machine learning based Pedantic Analysis of Predictive Algorithms in Crop Yield Management","authors":"M. Chandraprabha, Rajesh Kumar Dhanaraj","doi":"10.1109/ICECA49313.2020.9297544","DOIUrl":"https://doi.org/10.1109/ICECA49313.2020.9297544","url":null,"abstract":"Predictive analytics is a statistical technique used to forecast and investigate the development from past chronological data or to extract the information from data. With the help of rising technologies like predictive analytics in data mining, machine learning combining with Internet of Things [IoT], the major challenges in crop yield can be solved and pave way to earn profit. Machine learning means the process of making the system to learn from the previous experiences that help in prediction. In this paper, an conjectural evaluation on diverse prediction algorithms like support vector machines (SVM), recurrent neural networks (RNN), K nearest neighbour regression (KNN-R), Naive Bayes, BayesNet, support vector regression (SVR) etc., is done and its performance are described on the basis of error rates and accuracy level in crop yield. BayesNet shows the higher accuracy of about 97.53% and RNN has less percentage error rates that dominate other algorithms in harvest prediction.","PeriodicalId":297285,"journal":{"name":"2020 4th International Conference on Electronics, Communication and Aerospace Technology (ICECA)","volume":"252 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115851812","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 : 2020-11-05DOI: 10.1109/ICECA49313.2020.9297647
Shital S. Joshi, V. D. Bhagile
Speech recognition is gaining an increasing research interest in the last five decades. Speech processing is considered as an interdisciplinary branch of electronics and computer science domain. It considers speech as an input and converts it into the corresponding text. This paper describes the design and development of Marathi Numeric Speech Dataset. Marathi Numbers (Ank) ranging from Shunya(0) to Nau(9) and are taken into consideration for recording. Speech samples are collected from 50 native and 50 non-native speakers of Marathi language. The dataset remains as a gender balanced since it is recorded from 50 females and 50 male speakers. The age of speakers will affect the speech. Therefore, 5 different age groups such as 11-20, 21-30, 31-40, 41-50 and 51-60 are considered. Native and non-native speakers are selected to obtain ample amount of variations in the pronunciation of Marathi numerals. Feature extraction and feature matching technique plays a vital role for speech recognition and here LPC (Linear Predictive Coding) is used for extracting features from samples, whereas ANN (Artificial neural network) is used to classify them. Experimental specifications and results are also discussed. This research work has attempted to design and develop a speech recognition system, which can understand Marathi Ank (Numbers) and identify them accurately.
{"title":"Native and Non-Native Marathi Numerals Recognition using LPC and ANN","authors":"Shital S. Joshi, V. D. Bhagile","doi":"10.1109/ICECA49313.2020.9297647","DOIUrl":"https://doi.org/10.1109/ICECA49313.2020.9297647","url":null,"abstract":"Speech recognition is gaining an increasing research interest in the last five decades. Speech processing is considered as an interdisciplinary branch of electronics and computer science domain. It considers speech as an input and converts it into the corresponding text. This paper describes the design and development of Marathi Numeric Speech Dataset. Marathi Numbers (Ank) ranging from Shunya(0) to Nau(9) and are taken into consideration for recording. Speech samples are collected from 50 native and 50 non-native speakers of Marathi language. The dataset remains as a gender balanced since it is recorded from 50 females and 50 male speakers. The age of speakers will affect the speech. Therefore, 5 different age groups such as 11-20, 21-30, 31-40, 41-50 and 51-60 are considered. Native and non-native speakers are selected to obtain ample amount of variations in the pronunciation of Marathi numerals. Feature extraction and feature matching technique plays a vital role for speech recognition and here LPC (Linear Predictive Coding) is used for extracting features from samples, whereas ANN (Artificial neural network) is used to classify them. Experimental specifications and results are also discussed. This research work has attempted to design and develop a speech recognition system, which can understand Marathi Ank (Numbers) and identify them accurately.","PeriodicalId":297285,"journal":{"name":"2020 4th International Conference on Electronics, Communication and Aerospace Technology (ICECA)","volume":"150 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115894097","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 : 2020-11-05DOI: 10.1109/ICECA49313.2020.9297553
P. Rajendran, Padmaveni Krishnan, D. Aravindhar
Generally, visually challenged people tends to have difficulties in traveling and managing many kinds of challenges in their routine life. Mostly, wooden Sticks are used to sense barriers and obstacles next to them. As a result, visually impaired people cannot know exactly what kind of challenges they face and must thus rely entirely on lead sticks and training to navigate safely and in the right direction. This research work focuses on the development of a guidance system that uses smart glass paired with a sensor to continually capture images from the environment by the user wearable smart glass. The smart glass is equipped with a processor to process the captured images and objecst will be detected to inform the user about the results of the image and the user would have a much more comprehensive view of the method. This system allows visually impaired people not only to inform about traveling route and distance to the obstacle, but it also can inform about what the obstacle is. This smart glass can sense the distance from the obstacle and produce a warning to alert the user in advance. This application is developed to provide such a speech-based interface for the user, i.e. the user sends a voice that interprets his destination location when and when he is about to reach the destination. Here, instead of an alarm signal, the blind man can hear the location recorded by the user.
{"title":"Design and Implementation of Voice Assisted Smart Glasses for Visually Impaired People Using Google Vision API","authors":"P. Rajendran, Padmaveni Krishnan, D. Aravindhar","doi":"10.1109/ICECA49313.2020.9297553","DOIUrl":"https://doi.org/10.1109/ICECA49313.2020.9297553","url":null,"abstract":"Generally, visually challenged people tends to have difficulties in traveling and managing many kinds of challenges in their routine life. Mostly, wooden Sticks are used to sense barriers and obstacles next to them. As a result, visually impaired people cannot know exactly what kind of challenges they face and must thus rely entirely on lead sticks and training to navigate safely and in the right direction. This research work focuses on the development of a guidance system that uses smart glass paired with a sensor to continually capture images from the environment by the user wearable smart glass. The smart glass is equipped with a processor to process the captured images and objecst will be detected to inform the user about the results of the image and the user would have a much more comprehensive view of the method. This system allows visually impaired people not only to inform about traveling route and distance to the obstacle, but it also can inform about what the obstacle is. This smart glass can sense the distance from the obstacle and produce a warning to alert the user in advance. This application is developed to provide such a speech-based interface for the user, i.e. the user sends a voice that interprets his destination location when and when he is about to reach the destination. Here, instead of an alarm signal, the blind man can hear the location recorded by the user.","PeriodicalId":297285,"journal":{"name":"2020 4th International Conference on Electronics, Communication and Aerospace Technology (ICECA)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115907387","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 : 2020-11-05DOI: 10.1109/ICECA49313.2020.9297429
K. Lakshmi, M. Padmaja
A basic and fundamental step in image processing for any type of applications is removing noise from a query image. The significant ideal property of a best and perfect image de-noising model is that to preserve edges and noise has to be removed entirely. An efficient fuzzy based filter integrated with modified rules set is implemented in this research work for noise reduction of images corrupted with at-most noise. Proposed design consists of two variant stages. The first stage produces a fuzzy derivative for whole eight different directions. Final stage uses these fuzzy derivatives to implement fuzzy smoothing by weighting the participation of neighbouring pixel values. Type 2 fuzzy structure distinguishes the noisy pixels in the satellite picture and transforms the picture into a binary picture, which is gone through the Adaptive Nonlocal Mean Filter (ANLMF) for the noise rectification. Ultimately, for the picture improvement, the kernel-based addition plan has to be carried out, which is done through the proposed filtering of fuzzy. The above whole process christened as chronic fuzzy system. In Proposed architecture, we present an energy efficient algorithm for making the system more robust and it is developed on a Cadence 90-nm technology. The energy per sample for 8-bit test pattern has been reduced by 64% and power consumption is reduced by 44% when compared to existing architectures.
{"title":"Efficient and Enhanced High Throughput Image Denoising Using Chronical Fuzzy Set","authors":"K. Lakshmi, M. Padmaja","doi":"10.1109/ICECA49313.2020.9297429","DOIUrl":"https://doi.org/10.1109/ICECA49313.2020.9297429","url":null,"abstract":"A basic and fundamental step in image processing for any type of applications is removing noise from a query image. The significant ideal property of a best and perfect image de-noising model is that to preserve edges and noise has to be removed entirely. An efficient fuzzy based filter integrated with modified rules set is implemented in this research work for noise reduction of images corrupted with at-most noise. Proposed design consists of two variant stages. The first stage produces a fuzzy derivative for whole eight different directions. Final stage uses these fuzzy derivatives to implement fuzzy smoothing by weighting the participation of neighbouring pixel values. Type 2 fuzzy structure distinguishes the noisy pixels in the satellite picture and transforms the picture into a binary picture, which is gone through the Adaptive Nonlocal Mean Filter (ANLMF) for the noise rectification. Ultimately, for the picture improvement, the kernel-based addition plan has to be carried out, which is done through the proposed filtering of fuzzy. The above whole process christened as chronic fuzzy system. In Proposed architecture, we present an energy efficient algorithm for making the system more robust and it is developed on a Cadence 90-nm technology. The energy per sample for 8-bit test pattern has been reduced by 64% and power consumption is reduced by 44% when compared to existing architectures.","PeriodicalId":297285,"journal":{"name":"2020 4th International Conference on Electronics, Communication and Aerospace Technology (ICECA)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116102421","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 : 2020-11-05DOI: 10.1109/ICECA49313.2020.9297638
Raviraj Singh, R. Khatri, R. Gurjar
This article presents a multifunctional digital integrated circuit(IC)and the integrated circuit performs four tasks separately namely, 555 Timer, Multiplexer, Counter, and Flip-Flop. The certain task is chosen by selecting two-line input four output demultiplexers. The 555 timer IC performs three different modes such as monostable, astable, and bistable mode. These modes are chosen by a given input pattern. The design is delivered by a 1. 8V direct current supply with a difference ofO.lv. The proposed design consumes 11.41mW power which is reliable. These circuits are depicted by Semi-conductor Laboratory (SCL) 180nm Technology in Cadence Virtuoso Analog Design Environment.
{"title":"Design of a multifunctional small digital integrated circuit (IC) using 180nm CMOS Technology","authors":"Raviraj Singh, R. Khatri, R. Gurjar","doi":"10.1109/ICECA49313.2020.9297638","DOIUrl":"https://doi.org/10.1109/ICECA49313.2020.9297638","url":null,"abstract":"This article presents a multifunctional digital integrated circuit(IC)and the integrated circuit performs four tasks separately namely, 555 Timer, Multiplexer, Counter, and Flip-Flop. The certain task is chosen by selecting two-line input four output demultiplexers. The 555 timer IC performs three different modes such as monostable, astable, and bistable mode. These modes are chosen by a given input pattern. The design is delivered by a 1. 8V direct current supply with a difference ofO.lv. The proposed design consumes 11.41mW power which is reliable. These circuits are depicted by Semi-conductor Laboratory (SCL) 180nm Technology in Cadence Virtuoso Analog Design Environment.","PeriodicalId":297285,"journal":{"name":"2020 4th International Conference on Electronics, Communication and Aerospace Technology (ICECA)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116310035","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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