Look-After is a mobile-based smart assistant which ensures effectiveness and simplicity to use. It enables the user to keep track of all of his tasks and events in a personalized manner. This virtual agent learns about users' context based on the information acquired from their email and contacts in terms of their proper authorization and permission. By utilizing these learnings, it automatically detects any future events, schedules, or appointments the user has and dynamically generates a task in the application to act as an online guide and notify the user on time. Along with other features, this application can serve as a one-stop service for all its user schedule management. With progressively being shared our communication and information online, this type of smart agent which can dynamically understand its user's schedule would be a great help and streamlined. Due to the simple UI/UX and requirements, any user or even organization can easily adapt to the system. When it gets merely the read-only rights of a user's email, the smart app can work on detecting keywords with the help of our pre-defined Regular Expression (RegEx) to identify any upcoming events/tasks. This also leaves room for the use of Machine Learning to generate more precise keywords, that can better identify possible schedules of the user. Our work suggests a context-aware mobile computing-based environment, where the user will be made aware of his schedules beforehand, and be part of a social environment, where activities can be shared and discussed with others according to convenience.
{"title":"Look After: A Context-Aware Mobile Computing Based Smart Agent to Manage Personal Events","authors":"Bilas Halder, Md. Hridoy Chowdhury, Md. Saidur Rahman Kohinoor","doi":"10.1109/GCAT55367.2022.9971827","DOIUrl":"https://doi.org/10.1109/GCAT55367.2022.9971827","url":null,"abstract":"Look-After is a mobile-based smart assistant which ensures effectiveness and simplicity to use. It enables the user to keep track of all of his tasks and events in a personalized manner. This virtual agent learns about users' context based on the information acquired from their email and contacts in terms of their proper authorization and permission. By utilizing these learnings, it automatically detects any future events, schedules, or appointments the user has and dynamically generates a task in the application to act as an online guide and notify the user on time. Along with other features, this application can serve as a one-stop service for all its user schedule management. With progressively being shared our communication and information online, this type of smart agent which can dynamically understand its user's schedule would be a great help and streamlined. Due to the simple UI/UX and requirements, any user or even organization can easily adapt to the system. When it gets merely the read-only rights of a user's email, the smart app can work on detecting keywords with the help of our pre-defined Regular Expression (RegEx) to identify any upcoming events/tasks. This also leaves room for the use of Machine Learning to generate more precise keywords, that can better identify possible schedules of the user. Our work suggests a context-aware mobile computing-based environment, where the user will be made aware of his schedules beforehand, and be part of a social environment, where activities can be shared and discussed with others according to convenience.","PeriodicalId":133597,"journal":{"name":"2022 IEEE 3rd Global Conference for Advancement in Technology (GCAT)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115318468","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 : 2022-10-07DOI: 10.1109/GCAT55367.2022.9972127
Dipali Patidar, A. Mishra, D. Vaithiyanathan, B. Kaur
Along with size and performance considerations, power consumption is regarded as a significant challenge in current VLSI design. In digital systems, the flip flop is an extremely significant clocked timing element. An energy-efficient conditional-boosting flip-flop with a conditional pulse is proposed for low power applications. The proposed flip-flop allows voltage - boosting to achieve low delay. It allows conditional capture to reduce switching power consumption by removing unwanted boosting operations. It also allows conditional pulse generation to eliminate unwanted pulses resulting in less switching power consumption. Simulation results in a 90-nm CMOS technology represented that the proposed flip-flop delivered up to 34% lower delay and 53% better energy-delay product at 25% data switching activity compared with the conventional conditional-boosting flip-flop.
{"title":"An Energy-Efficient Conditional-Boosting Flip-Flop with Conditional Pulse for Low Power Application","authors":"Dipali Patidar, A. Mishra, D. Vaithiyanathan, B. Kaur","doi":"10.1109/GCAT55367.2022.9972127","DOIUrl":"https://doi.org/10.1109/GCAT55367.2022.9972127","url":null,"abstract":"Along with size and performance considerations, power consumption is regarded as a significant challenge in current VLSI design. In digital systems, the flip flop is an extremely significant clocked timing element. An energy-efficient conditional-boosting flip-flop with a conditional pulse is proposed for low power applications. The proposed flip-flop allows voltage - boosting to achieve low delay. It allows conditional capture to reduce switching power consumption by removing unwanted boosting operations. It also allows conditional pulse generation to eliminate unwanted pulses resulting in less switching power consumption. Simulation results in a 90-nm CMOS technology represented that the proposed flip-flop delivered up to 34% lower delay and 53% better energy-delay product at 25% data switching activity compared with the conventional conditional-boosting flip-flop.","PeriodicalId":133597,"journal":{"name":"2022 IEEE 3rd Global Conference for Advancement in Technology (GCAT)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115389235","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 : 2022-10-07DOI: 10.1109/GCAT55367.2022.9972071
Sushmita Kumari, B. Kaur, D. Vaithiyanathan, A. Mishra
In this paper, sense amplifier based flip flop (SAFF) with different latch designs is implemented and analyzed with respect to minimum voltage supply, delay and power. The conventional SAFF along with Power PC Master Slave flip flop (MSFF) and Pulse triggered flip flop (PTFF) are also discussed. In the result section, the output waveform and parametric analysis of all the SAFFs are implemented and results of comparison of each schematic are also discussed. The schematic of all the flip flops are designed using gdpk90nm and simulated using cadence tool.
{"title":"Analysis and Implementation of a Low Power Sense Amplifier based flip flop with symmetric latch design","authors":"Sushmita Kumari, B. Kaur, D. Vaithiyanathan, A. Mishra","doi":"10.1109/GCAT55367.2022.9972071","DOIUrl":"https://doi.org/10.1109/GCAT55367.2022.9972071","url":null,"abstract":"In this paper, sense amplifier based flip flop (SAFF) with different latch designs is implemented and analyzed with respect to minimum voltage supply, delay and power. The conventional SAFF along with Power PC Master Slave flip flop (MSFF) and Pulse triggered flip flop (PTFF) are also discussed. In the result section, the output waveform and parametric analysis of all the SAFFs are implemented and results of comparison of each schematic are also discussed. The schematic of all the flip flops are designed using gdpk90nm and simulated using cadence tool.","PeriodicalId":133597,"journal":{"name":"2022 IEEE 3rd Global Conference for Advancement in Technology (GCAT)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116692335","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 : 2022-10-07DOI: 10.1109/GCAT55367.2022.9971869
Pragati Balaji Kendre, P. Tasgaonkar
The microcontrollers (MCUs) present in gadgets are of tiny size and run-on low power supply. In this day and age, MCUs are accessible in a wide scope of gadgets. Besides, consistently, new elements are being added to these wearable devices (e.g., smart watches) which need more memory and less power utilization and it is conceivable e that the on-chip memory might miss the mark prompting the prerequisite of outside memory, so SRAM can be the most ideal choice as an outer memory. The justification behind this is that the better SRAM has low power utilization contrasted with DRAM and other blaze recollections, and the other explanation is low access time. In this paper, we intend to design a MOS based single finished 6-T (SE6T) SRAM 32nm cell and FINFET put together 6T-SRAM cell based with respect to 32nm innovation. Which consumes less power, region.
{"title":"Energy and Power analysis of SE-6T SRAM based on MOS and FINFET Technology on 32nm","authors":"Pragati Balaji Kendre, P. Tasgaonkar","doi":"10.1109/GCAT55367.2022.9971869","DOIUrl":"https://doi.org/10.1109/GCAT55367.2022.9971869","url":null,"abstract":"The microcontrollers (MCUs) present in gadgets are of tiny size and run-on low power supply. In this day and age, MCUs are accessible in a wide scope of gadgets. Besides, consistently, new elements are being added to these wearable devices (e.g., smart watches) which need more memory and less power utilization and it is conceivable e that the on-chip memory might miss the mark prompting the prerequisite of outside memory, so SRAM can be the most ideal choice as an outer memory. The justification behind this is that the better SRAM has low power utilization contrasted with DRAM and other blaze recollections, and the other explanation is low access time. In this paper, we intend to design a MOS based single finished 6-T (SE6T) SRAM 32nm cell and FINFET put together 6T-SRAM cell based with respect to 32nm innovation. Which consumes less power, region.","PeriodicalId":133597,"journal":{"name":"2022 IEEE 3rd Global Conference for Advancement in Technology (GCAT)","volume":"430 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121233581","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 : 2022-10-07DOI: 10.1109/GCAT55367.2022.9972212
K. K. R., Akshay Venugopalan, Sakhil Devan
We gather enormous volumes of data to train a model, which aids a machine's ability to learn better. Not all of this data, though, will be applicable to the model. Classes or parts of the data can be removed if they don't significantly improve our model. The model may run slowly if there is too much extra data. It's also likely that the model will become erroneous as a result of learning from this unimportant data. By using only pertinent data and removing irrelevant data, feature selection reduces the input variable of the model. Using feature selection, we may improve our model in a number of ways, including preventing over-fitting and learning from noise, increasing accuracy, and cutting training time. Three types of feature selection methodologies―the filter technique, the wrapper approach, and the embedded method―have been developed throughout the years. In this study, we present the Moth Flame Optimization Method (MFOA) algorithm for gene selection from the Gene Expression dataset. A population-based algorithm with natural inspirations is called the Moth Flame Optimization Algorithm (MFOA). It takes its cues from how moths behave in the wild. The Moth Flame Optimization Algorithm (MFOA) can converge more Quickly and requires less compute than earlier methods.
{"title":"Gene selection using Moth Flame algorithm and classification of Gene Expression Dataset","authors":"K. K. R., Akshay Venugopalan, Sakhil Devan","doi":"10.1109/GCAT55367.2022.9972212","DOIUrl":"https://doi.org/10.1109/GCAT55367.2022.9972212","url":null,"abstract":"We gather enormous volumes of data to train a model, which aids a machine's ability to learn better. Not all of this data, though, will be applicable to the model. Classes or parts of the data can be removed if they don't significantly improve our model. The model may run slowly if there is too much extra data. It's also likely that the model will become erroneous as a result of learning from this unimportant data. By using only pertinent data and removing irrelevant data, feature selection reduces the input variable of the model. Using feature selection, we may improve our model in a number of ways, including preventing over-fitting and learning from noise, increasing accuracy, and cutting training time. Three types of feature selection methodologies―the filter technique, the wrapper approach, and the embedded method―have been developed throughout the years. In this study, we present the Moth Flame Optimization Method (MFOA) algorithm for gene selection from the Gene Expression dataset. A population-based algorithm with natural inspirations is called the Moth Flame Optimization Algorithm (MFOA). It takes its cues from how moths behave in the wild. The Moth Flame Optimization Algorithm (MFOA) can converge more Quickly and requires less compute than earlier methods.","PeriodicalId":133597,"journal":{"name":"2022 IEEE 3rd Global Conference for Advancement in Technology (GCAT)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125833226","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 : 2022-10-07DOI: 10.1109/GCAT55367.2022.9971898
S. Rajasri, D. R. Gandh, D. Vijayalakshmi
This paper provides an idea of analysing a metamaterial SRR (Split Ring Resonator) in different waveguide setups for achieving better accuracy. A Square shaped waveguide setup is used with two MATER-SLAVE boundaries and 2 FLOQUET ports. In addition, the same SRR is analysed using hexagonal shaped waveguide setup with 3 MASTER-SLAVE boundaries and 2 FLOQUET ports. Comparative analysis has been done with these two different boundary settings. Scattering coefficients of the metamaterial SRR have been analysed with HFSS simulation software. This paper will serve as a perfect and comprehensive guidance to the researchers in the investigation of SRR.
{"title":"Method of Analysing a Metamaterial Unit Cell with Square and Hexagonal Shaped Waveguide Setup for Accuracy","authors":"S. Rajasri, D. R. Gandh, D. Vijayalakshmi","doi":"10.1109/GCAT55367.2022.9971898","DOIUrl":"https://doi.org/10.1109/GCAT55367.2022.9971898","url":null,"abstract":"This paper provides an idea of analysing a metamaterial SRR (Split Ring Resonator) in different waveguide setups for achieving better accuracy. A Square shaped waveguide setup is used with two MATER-SLAVE boundaries and 2 FLOQUET ports. In addition, the same SRR is analysed using hexagonal shaped waveguide setup with 3 MASTER-SLAVE boundaries and 2 FLOQUET ports. Comparative analysis has been done with these two different boundary settings. Scattering coefficients of the metamaterial SRR have been analysed with HFSS simulation software. This paper will serve as a perfect and comprehensive guidance to the researchers in the investigation of SRR.","PeriodicalId":133597,"journal":{"name":"2022 IEEE 3rd Global Conference for Advancement in Technology (GCAT)","volume":"99 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126080483","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 : 2022-10-07DOI: 10.1109/GCAT55367.2022.9972019
Shariff Aspilcueta, F. Tello, Ruben Panduro, Carlos Tello, R. Palomares, Jose Cornejo
The struggle against COVID-19 in Peru began in early March of 2020. Because of management within the health care system, the situation has been getting worse, reaching 3.57 million infected people and 61,477 deaths to date. However, because of evolving technology, it has been possible to find strategies that may be able to provide a solution to the problem while supporting both the medical staff and patients. For these reasons, this innovative project was carried out in 2020, with the support of the IEEE URP Student Branch. As a result, a non-invasive ventilation system with remote monitoring of saturation was manufactured by students of Mechatronics Engineering, belonging to the Ricardo Palma University. This project was the winner of 2020 IEEE XXVII International Conference of Electronics, Electrical Engineering and Computing (INTERCON), being the most important low-cost biomedical application in the country. The research was carried out to increase the oxygen saturation in patients with COVID-19 and decrease the number of contagions in health personnel due to constant exposure to this disease. This study presents the design of the ventilation system, where Autodesk Inventor was used to create a model of the Snorkel mask and its components, the programming was performed in Arduino IDE, and the information collected was sent to the application created through the program Kodular. In conclusion, the results achieved were favorable for the patients in the Virgen de Fatima Regional Hospital in Chachapoyas, Peru. Consequently, the next step for the project is to continue its development and donate the masks to hospitals and other institutions and aid them in combating COVID-19.
{"title":"Design and Manufacturing of Non-Invasive Ventilation System Connected with Remote Monitoring App for Oxygen Saturation Surveillance of COVID-19 Patients","authors":"Shariff Aspilcueta, F. Tello, Ruben Panduro, Carlos Tello, R. Palomares, Jose Cornejo","doi":"10.1109/GCAT55367.2022.9972019","DOIUrl":"https://doi.org/10.1109/GCAT55367.2022.9972019","url":null,"abstract":"The struggle against COVID-19 in Peru began in early March of 2020. Because of management within the health care system, the situation has been getting worse, reaching 3.57 million infected people and 61,477 deaths to date. However, because of evolving technology, it has been possible to find strategies that may be able to provide a solution to the problem while supporting both the medical staff and patients. For these reasons, this innovative project was carried out in 2020, with the support of the IEEE URP Student Branch. As a result, a non-invasive ventilation system with remote monitoring of saturation was manufactured by students of Mechatronics Engineering, belonging to the Ricardo Palma University. This project was the winner of 2020 IEEE XXVII International Conference of Electronics, Electrical Engineering and Computing (INTERCON), being the most important low-cost biomedical application in the country. The research was carried out to increase the oxygen saturation in patients with COVID-19 and decrease the number of contagions in health personnel due to constant exposure to this disease. This study presents the design of the ventilation system, where Autodesk Inventor was used to create a model of the Snorkel mask and its components, the programming was performed in Arduino IDE, and the information collected was sent to the application created through the program Kodular. In conclusion, the results achieved were favorable for the patients in the Virgen de Fatima Regional Hospital in Chachapoyas, Peru. Consequently, the next step for the project is to continue its development and donate the masks to hospitals and other institutions and aid them in combating COVID-19.","PeriodicalId":133597,"journal":{"name":"2022 IEEE 3rd Global Conference for Advancement in Technology (GCAT)","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126115267","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 : 2022-10-07DOI: 10.1109/GCAT55367.2022.9972075
A. Mukhopadhyay, R. A, Gunashree B
Modern cultures struggle with a lot of congestion. Congestion on road increases travel time and costs while also having a significant impact on the environment. We propose a system for optimizing fire engine travel time based on constraints such as road type, speed, vehicle density, and vehicle type and the length of each path. One type of mobile network is the Vehicular Ad-hoc Network (VANET). This paper proposes a Multi-Parameter Travel Time Reduction Method [MPTR] algorithm for reducing fire engine travel time. This proposed algorithm seeks to select the optimal path from a list of various options based on parameters such as road type, speed, and distance. The time of day, vehicle type, distance between paths, and other factors are all taken into account. This is simulated using the open-source simulator SUMO. Traffic flow in SUMO is a multimodal, open source, microscopic system. It enables the user to simulate how a specific traffic demand performance on a given road network would look. When it comes to choosing the best path and avoiding crowded areas, MPTR shows promising results. It was discovered that when MPTR is used, travel time decreases gradually. According to the computed results, the MPTR algorithm outperforms in terms of performance, dependability, duration, distance, and throughput.
{"title":"MPTR: Multi-Parameter based Travel Time Reduction for Emergencies","authors":"A. Mukhopadhyay, R. A, Gunashree B","doi":"10.1109/GCAT55367.2022.9972075","DOIUrl":"https://doi.org/10.1109/GCAT55367.2022.9972075","url":null,"abstract":"Modern cultures struggle with a lot of congestion. Congestion on road increases travel time and costs while also having a significant impact on the environment. We propose a system for optimizing fire engine travel time based on constraints such as road type, speed, vehicle density, and vehicle type and the length of each path. One type of mobile network is the Vehicular Ad-hoc Network (VANET). This paper proposes a Multi-Parameter Travel Time Reduction Method [MPTR] algorithm for reducing fire engine travel time. This proposed algorithm seeks to select the optimal path from a list of various options based on parameters such as road type, speed, and distance. The time of day, vehicle type, distance between paths, and other factors are all taken into account. This is simulated using the open-source simulator SUMO. Traffic flow in SUMO is a multimodal, open source, microscopic system. It enables the user to simulate how a specific traffic demand performance on a given road network would look. When it comes to choosing the best path and avoiding crowded areas, MPTR shows promising results. It was discovered that when MPTR is used, travel time decreases gradually. According to the computed results, the MPTR algorithm outperforms in terms of performance, dependability, duration, distance, and throughput.","PeriodicalId":133597,"journal":{"name":"2022 IEEE 3rd Global Conference for Advancement in Technology (GCAT)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123329892","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 : 2022-10-07DOI: 10.1109/GCAT55367.2022.9972031
Sridevi Gamini, Amala Yelamanchili
The utilization of error-correction codes (ECCs) in conjunction with the most recent correction capabilities may be a general design level strategy for making memories more resistant to Multiple Bit Upsets (MBUs). This general strategy led to the problem in developing the algorithm that gives us advanced error correction and low redundancy, mainly with adjacent ECCs. Up to 3 bit burst error correction is only possible with the existing technologies that go hand in hand with the MBU's mainly due to the scaling factors and the decrement in the distance of cell interval. With this, it is clear that the previous technologies are not meeting the application reliability requirements especially in unfavorable conditions. In order to provide a novel approach even in unfavorable conditions, an algorithm is proposed with existing Burst Error Correction (BEC) codes with Multibit Error Correction (MBEC). Initially the planning methods are defined following a search algorithm to search out the codes which accommodates the proposed methods. The H matrix which is obtained and evaluated relative to the 3 bit BEC along with MBEC is presented. Check bit comparison for no additional redundancy is done with respect to 3 bit BEC. Enhancement in the performance is observed with the application of new algorithm in 3 bit BEC when compared to previous codes. Xilinx ISE library is used to implement encoders and the decoders. This implementation provides us with additional information in terms of total area improvement and a delay mechanism for realizing correction abilities.
{"title":"Random Error Detection and Correction Codes for Multiple Bits","authors":"Sridevi Gamini, Amala Yelamanchili","doi":"10.1109/GCAT55367.2022.9972031","DOIUrl":"https://doi.org/10.1109/GCAT55367.2022.9972031","url":null,"abstract":"The utilization of error-correction codes (ECCs) in conjunction with the most recent correction capabilities may be a general design level strategy for making memories more resistant to Multiple Bit Upsets (MBUs). This general strategy led to the problem in developing the algorithm that gives us advanced error correction and low redundancy, mainly with adjacent ECCs. Up to 3 bit burst error correction is only possible with the existing technologies that go hand in hand with the MBU's mainly due to the scaling factors and the decrement in the distance of cell interval. With this, it is clear that the previous technologies are not meeting the application reliability requirements especially in unfavorable conditions. In order to provide a novel approach even in unfavorable conditions, an algorithm is proposed with existing Burst Error Correction (BEC) codes with Multibit Error Correction (MBEC). Initially the planning methods are defined following a search algorithm to search out the codes which accommodates the proposed methods. The H matrix which is obtained and evaluated relative to the 3 bit BEC along with MBEC is presented. Check bit comparison for no additional redundancy is done with respect to 3 bit BEC. Enhancement in the performance is observed with the application of new algorithm in 3 bit BEC when compared to previous codes. Xilinx ISE library is used to implement encoders and the decoders. This implementation provides us with additional information in terms of total area improvement and a delay mechanism for realizing correction abilities.","PeriodicalId":133597,"journal":{"name":"2022 IEEE 3rd Global Conference for Advancement in Technology (GCAT)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115093276","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 : 2022-10-07DOI: 10.1109/GCAT55367.2022.9972105
Isha Pathania, Navpreet Kaur
Deep learning approach is the first approach for classification of music genre using machine learning and for the purpose of predicting the genre label of a signal,a CNN model would be trained usually from end-to-end, spectrogram is used to carry out this process. Hand- crafted features were used in the second approach which is also the last approach. Four out of many traditional machine learning classifiers will be trained beside these features and their performance would be compared afterwards. Identification of features that would help the classification of this task needs to be performed. The databases of online music are growing day by day and nowadays it is very simple to access online music, due to this reason people are finding extremely uneasy to regulate the songs that they like to listen to. Nowadays music has become a very salient proportion of the Internet content, the most salient source of pieces of music is the net.
{"title":"Classification of Music Genre Using Machine Learning","authors":"Isha Pathania, Navpreet Kaur","doi":"10.1109/GCAT55367.2022.9972105","DOIUrl":"https://doi.org/10.1109/GCAT55367.2022.9972105","url":null,"abstract":"Deep learning approach is the first approach for classification of music genre using machine learning and for the purpose of predicting the genre label of a signal,a CNN model would be trained usually from end-to-end, spectrogram is used to carry out this process. Hand- crafted features were used in the second approach which is also the last approach. Four out of many traditional machine learning classifiers will be trained beside these features and their performance would be compared afterwards. Identification of features that would help the classification of this task needs to be performed. The databases of online music are growing day by day and nowadays it is very simple to access online music, due to this reason people are finding extremely uneasy to regulate the songs that they like to listen to. Nowadays music has become a very salient proportion of the Internet content, the most salient source of pieces of music is the net.","PeriodicalId":133597,"journal":{"name":"2022 IEEE 3rd Global Conference for Advancement in Technology (GCAT)","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122976005","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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