Pub Date : 2020-03-01DOI: 10.1109/ICCMC48092.2020.ICCMC-00052
Syam Krishnan T, Anu Chalil, Sreehari Kn
Reed Solomon(RS) codes are error correction codes that are widely used in communication systems. RS codes exhibits high error correction capability as compared with other error correction codes. Encoding is the process of adding parity bits to the input messages. The input message and parity bit together form the codeword. The input of the decoder can contain errors. In decoding, the original message is retrieved by applying different algorithms to the codeword. This paper uses LFSR for encoding and the Peterson Gorenstein Zierler algorithm for decoding. This work is aimed at execution of RS codes using different technologies. The Reed Solomon encoding and decoding is done using Octave, Vivado, Cadence tools. The data is tested for a single error and two errors. The system is implemented and synthesized in Application Specific Integrated Circuit (ASIC) and Field Programmable Gate Array (FPGA). Timing analysis has been done and GDSII file has been generated.
{"title":"VLSI Implementation of Reed Solomon Codes","authors":"Syam Krishnan T, Anu Chalil, Sreehari Kn","doi":"10.1109/ICCMC48092.2020.ICCMC-00052","DOIUrl":"https://doi.org/10.1109/ICCMC48092.2020.ICCMC-00052","url":null,"abstract":"Reed Solomon(RS) codes are error correction codes that are widely used in communication systems. RS codes exhibits high error correction capability as compared with other error correction codes. Encoding is the process of adding parity bits to the input messages. The input message and parity bit together form the codeword. The input of the decoder can contain errors. In decoding, the original message is retrieved by applying different algorithms to the codeword. This paper uses LFSR for encoding and the Peterson Gorenstein Zierler algorithm for decoding. This work is aimed at execution of RS codes using different technologies. The Reed Solomon encoding and decoding is done using Octave, Vivado, Cadence tools. The data is tested for a single error and two errors. The system is implemented and synthesized in Application Specific Integrated Circuit (ASIC) and Field Programmable Gate Array (FPGA). Timing analysis has been done and GDSII file has been generated.","PeriodicalId":130581,"journal":{"name":"2020 Fourth International Conference on Computing Methodologies and Communication (ICCMC)","volume":"99 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121302870","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 : 2020-03-01DOI: 10.1109/ICCMC48092.2020.ICCMC-000163
A. Patted, M. Sujatha
Analysis and design of bandpass filter (BPF) and absorptive bandstop filters (ABSD using coupled transmission line is presented in this paper. Bandpass filter and absorptive bandstop filter are designed using eminent design equations of transmission line theory. Analysis of BPF and ABSF is carried out using both circuit and EM simulators. The EM simulation results of BPF indicate a bandwidth of 108%(2.401 to 9.9 GHz) with return loss higher than -15dB. The simulation results of ABS F indicate 64% relative bandwidth (RB) (1.356 to 2. 644GHz) with-26.33dB stopband rejection (SR) and an all-passband with-lOdB return loss.
{"title":"Analysis and Design of Bandpass Filter and Absorptive Bandstop Filter Using Coupled Transmission Line","authors":"A. Patted, M. Sujatha","doi":"10.1109/ICCMC48092.2020.ICCMC-000163","DOIUrl":"https://doi.org/10.1109/ICCMC48092.2020.ICCMC-000163","url":null,"abstract":"Analysis and design of bandpass filter (BPF) and absorptive bandstop filters (ABSD using coupled transmission line is presented in this paper. Bandpass filter and absorptive bandstop filter are designed using eminent design equations of transmission line theory. Analysis of BPF and ABSF is carried out using both circuit and EM simulators. The EM simulation results of BPF indicate a bandwidth of 108%(2.401 to 9.9 GHz) with return loss higher than -15dB. The simulation results of ABS F indicate 64% relative bandwidth (RB) (1.356 to 2. 644GHz) with-26.33dB stopband rejection (SR) and an all-passband with-lOdB return loss.","PeriodicalId":130581,"journal":{"name":"2020 Fourth International Conference on Computing Methodologies and Communication (ICCMC)","volume":"203 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116178896","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 : 2020-03-01DOI: 10.1109/ICCMC48092.2020.ICCMC-0009
Fatema Vhora, Jay Gandhi
Mobile edge computing (MEC) is an emerging standard where cloud computing services like storage and computing, are provided to the edge of networks. MEC has the potential of executing computing-intensive applications such as augmented and virtual reality. It is an essential component in the internet of things (IoT) and 5G architecture that provides a noticeable reduction in latency and energy consumption of mobile devices. This paper covers a comprehensive survey about the MEC concept including MEC Analogue. It presents a different edge paradigm like fog computing, cloudlet, MEC, along with its architecture. The diverse challenges with its related work are covers during the survey. Simulation tools and challenges for real time implementations are explained. Finally, different MEC scenarios and applications are discussed.
{"title":"A Comprehensive Survey on Mobile Edge Computing: Challenges, Tools, Applications","authors":"Fatema Vhora, Jay Gandhi","doi":"10.1109/ICCMC48092.2020.ICCMC-0009","DOIUrl":"https://doi.org/10.1109/ICCMC48092.2020.ICCMC-0009","url":null,"abstract":"Mobile edge computing (MEC) is an emerging standard where cloud computing services like storage and computing, are provided to the edge of networks. MEC has the potential of executing computing-intensive applications such as augmented and virtual reality. It is an essential component in the internet of things (IoT) and 5G architecture that provides a noticeable reduction in latency and energy consumption of mobile devices. This paper covers a comprehensive survey about the MEC concept including MEC Analogue. It presents a different edge paradigm like fog computing, cloudlet, MEC, along with its architecture. The diverse challenges with its related work are covers during the survey. Simulation tools and challenges for real time implementations are explained. Finally, different MEC scenarios and applications are discussed.","PeriodicalId":130581,"journal":{"name":"2020 Fourth International Conference on Computing Methodologies and Communication (ICCMC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134356145","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 : 2020-03-01DOI: 10.1109/ICCMC48092.2020.ICCMC-000144
N. Agrawal, Vinay Singh, Vinay Singh Parmar, V. Sharma, Dipti Singh, Muskan Agrawal
In the current scenario machines and robots are playing an important role in the automation industry. This paper is presenting the process through which robotic arm is made with the help of Arduino and Potentiometer for controlling and coordinating the industrial processes. Here, we realize that the robotic arm has the ability to move in four directions with the help of servo motors. The movement of servo motor, UNO is responsible which converts the analog signal into the digital signal which is further received by servo motor. This project discuss about the technical imputation, the issue related with the implications and application of robotic arm in the field of automation of industries. It can be used as a artificial arm for a human who have lost his hand in any accident.
{"title":"Design and Development of IoT based Robotic Arm by using Arduino","authors":"N. Agrawal, Vinay Singh, Vinay Singh Parmar, V. Sharma, Dipti Singh, Muskan Agrawal","doi":"10.1109/ICCMC48092.2020.ICCMC-000144","DOIUrl":"https://doi.org/10.1109/ICCMC48092.2020.ICCMC-000144","url":null,"abstract":"In the current scenario machines and robots are playing an important role in the automation industry. This paper is presenting the process through which robotic arm is made with the help of Arduino and Potentiometer for controlling and coordinating the industrial processes. Here, we realize that the robotic arm has the ability to move in four directions with the help of servo motors. The movement of servo motor, UNO is responsible which converts the analog signal into the digital signal which is further received by servo motor. This project discuss about the technical imputation, the issue related with the implications and application of robotic arm in the field of automation of industries. It can be used as a artificial arm for a human who have lost his hand in any accident.","PeriodicalId":130581,"journal":{"name":"2020 Fourth International Conference on Computing Methodologies and Communication (ICCMC)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134380688","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 : 2020-03-01DOI: 10.1109/ICCMC48092.2020.ICCMC-000165
Maddhala Sai Venkata Ravi Teja, V.Raghunadha Naidu, B. Prakash, B. Pavithra, S. Suchitra
The conventional traffic light control frameworks are governed by fixed time interims of the traffic lights. These traditional fixed traffic light controllers have certain constraints and are less effective on the grounds that they utilize an equipment, which have capacities as indicated by the program that comes up with limitations of the inconsistent adaptability of adjustments. Along these lines, due to the fixed time interims of green and red signs, there is overabundance average waiting time and superfluous holding up time on lanes, due to which vehicles tend to devour more fuel. This in the long run indicates the ecological contamination and makes a few medical related problems among the individuals on street and living close by, as they tend to inhale the impure air. Likewise, these customary traffic light control frameworks do not have any advancements or arrangements to give any data on traffic densities on different streets, which prompt traffic clogs. Consequently, to make the traffic light scheme control and traffic guideline progressively productive, the proposed work makes use of the development of a novel strategy called as Adaptive Traffic Light Control System, modelled with highly proficient framework. The proposed framework utilizes a complete system of cluster of sensors for detecting the traffic with priority based traffic management. On positioning this effectively detected traffic, the planning interims of red and green light signals across the streets are cleverly chosen and changed in order to keep the holding up time least. In this way, enhancement of the traffic light with periodically exchanges, builds the street limit, spares time for voyaging and forestalls traffic blockages. The traffic related details are intermittently updated to the multi-cloud environment. The model is assessed by means of rebuilding in the Simulation of Urban Mobility framework (SUMO) in a vehicular system using Reinforced Decision Process (RDP), and the reenactment results show the significantly improved efficiency of the model in controlling and regulating the traffic with dynamic and self-adaptive management.
{"title":"Proficient Self-Adaptive Dynamic Traffic Monitoring Control System","authors":"Maddhala Sai Venkata Ravi Teja, V.Raghunadha Naidu, B. Prakash, B. Pavithra, S. Suchitra","doi":"10.1109/ICCMC48092.2020.ICCMC-000165","DOIUrl":"https://doi.org/10.1109/ICCMC48092.2020.ICCMC-000165","url":null,"abstract":"The conventional traffic light control frameworks are governed by fixed time interims of the traffic lights. These traditional fixed traffic light controllers have certain constraints and are less effective on the grounds that they utilize an equipment, which have capacities as indicated by the program that comes up with limitations of the inconsistent adaptability of adjustments. Along these lines, due to the fixed time interims of green and red signs, there is overabundance average waiting time and superfluous holding up time on lanes, due to which vehicles tend to devour more fuel. This in the long run indicates the ecological contamination and makes a few medical related problems among the individuals on street and living close by, as they tend to inhale the impure air. Likewise, these customary traffic light control frameworks do not have any advancements or arrangements to give any data on traffic densities on different streets, which prompt traffic clogs. Consequently, to make the traffic light scheme control and traffic guideline progressively productive, the proposed work makes use of the development of a novel strategy called as Adaptive Traffic Light Control System, modelled with highly proficient framework. The proposed framework utilizes a complete system of cluster of sensors for detecting the traffic with priority based traffic management. On positioning this effectively detected traffic, the planning interims of red and green light signals across the streets are cleverly chosen and changed in order to keep the holding up time least. In this way, enhancement of the traffic light with periodically exchanges, builds the street limit, spares time for voyaging and forestalls traffic blockages. The traffic related details are intermittently updated to the multi-cloud environment. The model is assessed by means of rebuilding in the Simulation of Urban Mobility framework (SUMO) in a vehicular system using Reinforced Decision Process (RDP), and the reenactment results show the significantly improved efficiency of the model in controlling and regulating the traffic with dynamic and self-adaptive management.","PeriodicalId":130581,"journal":{"name":"2020 Fourth International Conference on Computing Methodologies and Communication (ICCMC)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131587367","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 : 2020-03-01DOI: 10.1109/ICCMC48092.2020.ICCMC-000154
Arjun A M, Sreehari S, R. Nandakumar
Emotion recognition is the process of identifying human emotions. Identifying the emotion being conveyed by facial expressions is a well-studied area as is the processing of formal hand gestures (mudras, semaphores, sign language etc..) as a means of communication. Our study focuses on two observations:(1) hand gestures, which have no reference to any formal system, can convey meanings even without accompanying facial expressions and (2) facial expressions and ‘informal’ hand gestures can nontrivially combine to convey messages with altogether new meanings. We present visuals to illustrate these observations. Experimentally, we present an image classification algorithm using Convolutional Neural Networks and TensorFlow library and OpenCV technology; with suitable datasets, we were able to train our system to recognize emotions conveyed by a limited set of hand gestures with no support from facial expressions (observation 1 above). We also indicate how the work ought to be extended to handle cases where hand gestures and facial expressions combine to convey interesting emotional signals.
{"title":"The Interplay Of Hand Gestures And Facial Expressions In Conveying Emotions A CNN–BASED APPROACH","authors":"Arjun A M, Sreehari S, R. Nandakumar","doi":"10.1109/ICCMC48092.2020.ICCMC-000154","DOIUrl":"https://doi.org/10.1109/ICCMC48092.2020.ICCMC-000154","url":null,"abstract":"Emotion recognition is the process of identifying human emotions. Identifying the emotion being conveyed by facial expressions is a well-studied area as is the processing of formal hand gestures (mudras, semaphores, sign language etc..) as a means of communication. Our study focuses on two observations:(1) hand gestures, which have no reference to any formal system, can convey meanings even without accompanying facial expressions and (2) facial expressions and ‘informal’ hand gestures can nontrivially combine to convey messages with altogether new meanings. We present visuals to illustrate these observations. Experimentally, we present an image classification algorithm using Convolutional Neural Networks and TensorFlow library and OpenCV technology; with suitable datasets, we were able to train our system to recognize emotions conveyed by a limited set of hand gestures with no support from facial expressions (observation 1 above). We also indicate how the work ought to be extended to handle cases where hand gestures and facial expressions combine to convey interesting emotional signals.","PeriodicalId":130581,"journal":{"name":"2020 Fourth International Conference on Computing Methodologies and Communication (ICCMC)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127566485","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 : 2020-03-01DOI: 10.1109/ICCMC48092.2020.ICCMC-00095
D. P., Dr.M. Dhinakaran
This work mainly concentrates on designing a simple patch antenna with the required miniaturization to deploy it as a biomedical implant. Techniques such as using a substrate with high dielectric constant, introducing shorting pin and slot are integrated. The combined results of those techniques were studied and analyzed to arrive at the optimal antenna that is resonating properly in Med Radio band at the frequency of 404 MHz with the gain of -33 dB. The resonant frequency of antenna with shorting pin is also verified theoretically using formulas. Impact of surface current in creating the slot, for an antenna with shorting pin is also studied and presented. Designed antenna is resonating at 404 MHz with S11 of -20dB.
{"title":"Patch Antenna Miniaturization Technique for BioMedical Implant","authors":"D. P., Dr.M. Dhinakaran","doi":"10.1109/ICCMC48092.2020.ICCMC-00095","DOIUrl":"https://doi.org/10.1109/ICCMC48092.2020.ICCMC-00095","url":null,"abstract":"This work mainly concentrates on designing a simple patch antenna with the required miniaturization to deploy it as a biomedical implant. Techniques such as using a substrate with high dielectric constant, introducing shorting pin and slot are integrated. The combined results of those techniques were studied and analyzed to arrive at the optimal antenna that is resonating properly in Med Radio band at the frequency of 404 MHz with the gain of -33 dB. The resonant frequency of antenna with shorting pin is also verified theoretically using formulas. Impact of surface current in creating the slot, for an antenna with shorting pin is also studied and presented. Designed antenna is resonating at 404 MHz with S11 of -20dB.","PeriodicalId":130581,"journal":{"name":"2020 Fourth International Conference on Computing Methodologies and Communication (ICCMC)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127572491","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 : 2020-03-01DOI: 10.1109/ICCMC48092.2020.ICCMC-000194
Syed Fasiuddin, Syed Omer, Khan Sohelrana, Amena Tamkeen, Mohammed Iqbal Abdul Rasheed
Enhancement in vehicle technology system is getting increased research popularity and adding a vehicle theft security system in order to avoid getting vehicle theft in the parking and sometimes driving in unsecured places. The proposed system provided security and better theft control by using facial recognition and giving shock treatment, when the unauthorized person try to start the ignition and will be notified by the IOT application. The system uses Microprocessor raspberry pi along with a pie cam and a WIFI controller installed in the vehicle the implemented system is very simple with greater security for vehicle anti -theft protection and low cost technique compared to others.
{"title":"Real Time Application of Vehicle Anti Theft Detection and Protection with Shock Using Facial Recognition and IoT Notification","authors":"Syed Fasiuddin, Syed Omer, Khan Sohelrana, Amena Tamkeen, Mohammed Iqbal Abdul Rasheed","doi":"10.1109/ICCMC48092.2020.ICCMC-000194","DOIUrl":"https://doi.org/10.1109/ICCMC48092.2020.ICCMC-000194","url":null,"abstract":"Enhancement in vehicle technology system is getting increased research popularity and adding a vehicle theft security system in order to avoid getting vehicle theft in the parking and sometimes driving in unsecured places. The proposed system provided security and better theft control by using facial recognition and giving shock treatment, when the unauthorized person try to start the ignition and will be notified by the IOT application. The system uses Microprocessor raspberry pi along with a pie cam and a WIFI controller installed in the vehicle the implemented system is very simple with greater security for vehicle anti -theft protection and low cost technique compared to others.","PeriodicalId":130581,"journal":{"name":"2020 Fourth International Conference on Computing Methodologies and Communication (ICCMC)","volume":"106 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133497048","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 : 2020-03-01DOI: 10.1109/ICCMC48092.2020.ICCMC-00026
U. Malviya
Tumors are normally classified by analyzing the magnetic resonance imaging (MRI) of the human brain. The proposed work has developed a programmed machine-based tumor recognition from MRI images. This work describes another strategy for the detection of tumors from patients’ brain MRI images by examining images using the multi-level otsu thresholding (MLOT) method. In this work, MRI of test patients and MRIs of the normal human brain compared using principal components and based on the differences measured, the tumor detection will be done. The normal human brain MRI's taken from CC-BY-SA standard SRI24 multichannel atlas of normal adult human brain structure. The proposed method incorporates with noise removal using discrete wave transform (DWT) filter and MRI Image preprocessing includes modified multi-level otsu thresholding (MLOT) and morphological operations like erosion and dilation and last step a cross-correlation of principal components based tumor classification performed. MATLAB 2018b has been used for designing and testing the proposed work, graphical user interface (GUI) has been developed for frontend users and the accuracy of detection is found better than other similar work.
{"title":"Tumor Detection in MRI Images using Modified Multi-level Otsu Thresholding (MLOT) and Cross-Correlation of Principle Components","authors":"U. Malviya","doi":"10.1109/ICCMC48092.2020.ICCMC-00026","DOIUrl":"https://doi.org/10.1109/ICCMC48092.2020.ICCMC-00026","url":null,"abstract":"Tumors are normally classified by analyzing the magnetic resonance imaging (MRI) of the human brain. The proposed work has developed a programmed machine-based tumor recognition from MRI images. This work describes another strategy for the detection of tumors from patients’ brain MRI images by examining images using the multi-level otsu thresholding (MLOT) method. In this work, MRI of test patients and MRIs of the normal human brain compared using principal components and based on the differences measured, the tumor detection will be done. The normal human brain MRI's taken from CC-BY-SA standard SRI24 multichannel atlas of normal adult human brain structure. The proposed method incorporates with noise removal using discrete wave transform (DWT) filter and MRI Image preprocessing includes modified multi-level otsu thresholding (MLOT) and morphological operations like erosion and dilation and last step a cross-correlation of principal components based tumor classification performed. MATLAB 2018b has been used for designing and testing the proposed work, graphical user interface (GUI) has been developed for frontend users and the accuracy of detection is found better than other similar work.","PeriodicalId":130581,"journal":{"name":"2020 Fourth International Conference on Computing Methodologies and Communication (ICCMC)","volume":"126 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133507533","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 : 2020-03-01DOI: 10.1109/ICCMC48092.2020.ICCMC-000142
Nidhi Kundu, Geeta Rani, V. Dhaka
Rapidly expanding market of health and increase in the common health issues such as cardiovascular, neurological and pulmonary, sleep, hydration and breath rate disorders motivates researchers to contribute in developing as well as designing systems that accurately observes the body parameter analyses, where the values of monitored parameters and generates alerts if the values show deviation from the standard pre-set values. The monitoring helps in early detection of chronic diseases such as diabetes, heart, respiratory disorders. Devices described in literature faces the challenges such as low reliability, low accuracy and less energy efficient. In this manuscript, authors present a review of existing literature available at national as well as international level. The review focuses on wearable devices such as smart eyewear, wrist band, smart jewelry, sleep track, smart garments and head mounted etc. The challenges identified by the review, motivates the authors to focus on designing a health monitoring frame work. In this manuscript, the authors propose a Machine Learning and IoT based Disease Predictor and Alert Generator System. The ease to use and high reliability proves the usefulness of system in the real time scenario.
{"title":"Machine Learning and IoT based Disease Predictor and Alert Generator System","authors":"Nidhi Kundu, Geeta Rani, V. Dhaka","doi":"10.1109/ICCMC48092.2020.ICCMC-000142","DOIUrl":"https://doi.org/10.1109/ICCMC48092.2020.ICCMC-000142","url":null,"abstract":"Rapidly expanding market of health and increase in the common health issues such as cardiovascular, neurological and pulmonary, sleep, hydration and breath rate disorders motivates researchers to contribute in developing as well as designing systems that accurately observes the body parameter analyses, where the values of monitored parameters and generates alerts if the values show deviation from the standard pre-set values. The monitoring helps in early detection of chronic diseases such as diabetes, heart, respiratory disorders. Devices described in literature faces the challenges such as low reliability, low accuracy and less energy efficient. In this manuscript, authors present a review of existing literature available at national as well as international level. The review focuses on wearable devices such as smart eyewear, wrist band, smart jewelry, sleep track, smart garments and head mounted etc. The challenges identified by the review, motivates the authors to focus on designing a health monitoring frame work. In this manuscript, the authors propose a Machine Learning and IoT based Disease Predictor and Alert Generator System. The ease to use and high reliability proves the usefulness of system in the real time scenario.","PeriodicalId":130581,"journal":{"name":"2020 Fourth International Conference on Computing Methodologies and Communication (ICCMC)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133567597","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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