Pub Date : 2020-07-01DOI: 10.1109/ICCSP48568.2020.9182354
F. P. R. Rouniyar, S. Saxena, T. K. Sahoo
Shopping malls are the place where people get their basic daily requirements such as food items, clothing, fashion accessories, electrical appliances and so on. Nowadays we can find shopping malls every few meters in any developed or developing cities around the globe. Sometimes customers face the problem of having inadequate information about the products and have to lose their valuable time at the billing counters waiting for their turn to come. Constant enhancement is required in the traditional billing system to advance the quality of shopping experience for the customers. To overcome these difficulties and to advance the present existing system, we are putting up our approach on an RFID based Smart Shopping Automation System (SSAS) including automated bill calculator, this approach is carried by attaching RFID tags to the products or items and an RFID reader with a touch panel display at the EXIT gate along with some other important components. With this approach of shopping system, customers will have complete information about the price of every product that is scanned in by the reader, and the total price of the items at the end. SSAS will save the customer’s time and labor required in malls and costs related to the products. Thus, this paper presents a preliminary development of the SSAS that can be integrated into the malls with smarts facilities to make shopping an automated experience.
{"title":"SSAS: RFID-BASED Smart Shopping Automation System","authors":"F. P. R. Rouniyar, S. Saxena, T. K. Sahoo","doi":"10.1109/ICCSP48568.2020.9182354","DOIUrl":"https://doi.org/10.1109/ICCSP48568.2020.9182354","url":null,"abstract":"Shopping malls are the place where people get their basic daily requirements such as food items, clothing, fashion accessories, electrical appliances and so on. Nowadays we can find shopping malls every few meters in any developed or developing cities around the globe. Sometimes customers face the problem of having inadequate information about the products and have to lose their valuable time at the billing counters waiting for their turn to come. Constant enhancement is required in the traditional billing system to advance the quality of shopping experience for the customers. To overcome these difficulties and to advance the present existing system, we are putting up our approach on an RFID based Smart Shopping Automation System (SSAS) including automated bill calculator, this approach is carried by attaching RFID tags to the products or items and an RFID reader with a touch panel display at the EXIT gate along with some other important components. With this approach of shopping system, customers will have complete information about the price of every product that is scanned in by the reader, and the total price of the items at the end. SSAS will save the customer’s time and labor required in malls and costs related to the products. Thus, this paper presents a preliminary development of the SSAS that can be integrated into the malls with smarts facilities to make shopping an automated experience.","PeriodicalId":321133,"journal":{"name":"2020 International Conference on Communication and Signal Processing (ICCSP)","volume":"86 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127134535","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 : 2020-07-01DOI: 10.1109/ICCSP48568.2020.9182270
K. Karunya, S. Aarthy, R. Karthika, L. Jegatha Deborah
An important criterion in teaching is to analyze how well the teaching has been effective for the student’s. In order to do such analysis student’s feedback is obtained which would depict the quality and quantity of teaching. The existing evaluation technique tells about the opinion levels but does not clearly inform is it necessary to bring immediate changes in teaching or can proceed with the current teaching strategy. To address this drawback an automated ideology is proposed to initially analyze the student feedback comments and further based on the analysis introduce a recommendation system that would give a clear idea whether to bring in changes or proceed with the currently adopted teaching technique. This would provide tutors insight about opinion and allow them to make professionally sound decision so as to upgrade the performance of students.
{"title":"Analysis of Student Feedback and Recommendation to Tutors","authors":"K. Karunya, S. Aarthy, R. Karthika, L. Jegatha Deborah","doi":"10.1109/ICCSP48568.2020.9182270","DOIUrl":"https://doi.org/10.1109/ICCSP48568.2020.9182270","url":null,"abstract":"An important criterion in teaching is to analyze how well the teaching has been effective for the student’s. In order to do such analysis student’s feedback is obtained which would depict the quality and quantity of teaching. The existing evaluation technique tells about the opinion levels but does not clearly inform is it necessary to bring immediate changes in teaching or can proceed with the current teaching strategy. To address this drawback an automated ideology is proposed to initially analyze the student feedback comments and further based on the analysis introduce a recommendation system that would give a clear idea whether to bring in changes or proceed with the currently adopted teaching technique. This would provide tutors insight about opinion and allow them to make professionally sound decision so as to upgrade the performance of students.","PeriodicalId":321133,"journal":{"name":"2020 International Conference on Communication and Signal Processing (ICCSP)","volume":"71 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126245520","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 : 2020-07-01DOI: 10.1109/ICCSP48568.2020.9182277
K. Lakshmi, Akshada Muneshwar, A. Ratnam, Prakash Kodali
Assistance for any person with disability in movement is always necessary. Spinal cord injuries, strokes and many more are the reasons for paralysis. In view point of the people with paralysis who can move their finger or toe we have designed an assistance and remote-control system. Our system differs from traditional assistance systems and methods which require a large hardware setup and bulk software coding which is not feasible to the patient. Our model helps people with facial and limb paralysis to control their surroundings like control airconditioning, TV or any other device using NodeMCU modules and ask for assistance through simple operations. This proposed model deals with flex sensor placed on finger/toe. It picks up bending in finger and translates to a selective control. Further the Arduino micro-controller is used which assists the patient and communicates the patient’s condition to the concerned person using one of its units in case of emergency.
{"title":"Patient Assistance using Flex Sensor","authors":"K. Lakshmi, Akshada Muneshwar, A. Ratnam, Prakash Kodali","doi":"10.1109/ICCSP48568.2020.9182277","DOIUrl":"https://doi.org/10.1109/ICCSP48568.2020.9182277","url":null,"abstract":"Assistance for any person with disability in movement is always necessary. Spinal cord injuries, strokes and many more are the reasons for paralysis. In view point of the people with paralysis who can move their finger or toe we have designed an assistance and remote-control system. Our system differs from traditional assistance systems and methods which require a large hardware setup and bulk software coding which is not feasible to the patient. Our model helps people with facial and limb paralysis to control their surroundings like control airconditioning, TV or any other device using NodeMCU modules and ask for assistance through simple operations. This proposed model deals with flex sensor placed on finger/toe. It picks up bending in finger and translates to a selective control. Further the Arduino micro-controller is used which assists the patient and communicates the patient’s condition to the concerned person using one of its units in case of emergency.","PeriodicalId":321133,"journal":{"name":"2020 International Conference on Communication and Signal Processing (ICCSP)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127242077","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 : 2020-07-01DOI: 10.1109/ICCSP48568.2020.9182201
M. Murali, Shreya Sharma, Neel Nagansure
This work aims to assist the visually impaired people for reading a text material and detect objects in their surroundings. The input is taken in the form of an image captured from the web camera. This image is then processed either for the purpose of text reading or for object detection based on user choice. The Raspberry Pi acts as the microcontroller for processing of the entire process. The text reading is supported by software named OCR. The read text is changed into an audio output using the TTS Synthesis. Other dependencies required for the process include Tesseract Library. The Object Detection is another aspect of the project which is implemented using a TensorFlow Object Detection API. It is able to detect various objects in its surroundings and provide an audio feedback about the same. The dataset can be trained on various different situations depending on the user needs, thus making it scalable
{"title":"Reader and Object Detector for Blind","authors":"M. Murali, Shreya Sharma, Neel Nagansure","doi":"10.1109/ICCSP48568.2020.9182201","DOIUrl":"https://doi.org/10.1109/ICCSP48568.2020.9182201","url":null,"abstract":"This work aims to assist the visually impaired people for reading a text material and detect objects in their surroundings. The input is taken in the form of an image captured from the web camera. This image is then processed either for the purpose of text reading or for object detection based on user choice. The Raspberry Pi acts as the microcontroller for processing of the entire process. The text reading is supported by software named OCR. The read text is changed into an audio output using the TTS Synthesis. Other dependencies required for the process include Tesseract Library. The Object Detection is another aspect of the project which is implemented using a TensorFlow Object Detection API. It is able to detect various objects in its surroundings and provide an audio feedback about the same. The dataset can be trained on various different situations depending on the user needs, thus making it scalable","PeriodicalId":321133,"journal":{"name":"2020 International Conference on Communication and Signal Processing (ICCSP)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114293494","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 : 2020-07-01DOI: 10.1109/ICCSP48568.2020.9182103
Hao Liu, Zhisheng Zhang, Dini Duan
As the number of motor vehicles in developing countries increases year by year, the increase in the number of vehicles has brought a series of problems to urban traffic, such as traffic congestion and road safety issues. The road traffic information is effectively transmitted to the on-board self-organizing network. The on-board self-organizing network can communicate with people, vehicles, vehicles and vehicles, and vehicles and roadside facilities to optimize the road network reasonably and reduce traffic The purpose of congestion. Starting from the road traffic network, this paper mainly studies a routing protocol for road information acquisition with roadside unit vehicles as SINK nodes. Based on this information, a road network optimization for the global road network is proposed. algorithm. From a global perspective, reduce road congestion and improve road utilization.
{"title":"Research on Road Network Optimization of Traffic Congestion Reduction based on Vehicle as Sink Node","authors":"Hao Liu, Zhisheng Zhang, Dini Duan","doi":"10.1109/ICCSP48568.2020.9182103","DOIUrl":"https://doi.org/10.1109/ICCSP48568.2020.9182103","url":null,"abstract":"As the number of motor vehicles in developing countries increases year by year, the increase in the number of vehicles has brought a series of problems to urban traffic, such as traffic congestion and road safety issues. The road traffic information is effectively transmitted to the on-board self-organizing network. The on-board self-organizing network can communicate with people, vehicles, vehicles and vehicles, and vehicles and roadside facilities to optimize the road network reasonably and reduce traffic The purpose of congestion. Starting from the road traffic network, this paper mainly studies a routing protocol for road information acquisition with roadside unit vehicles as SINK nodes. Based on this information, a road network optimization for the global road network is proposed. algorithm. From a global perspective, reduce road congestion and improve road utilization.","PeriodicalId":321133,"journal":{"name":"2020 International Conference on Communication and Signal Processing (ICCSP)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114386024","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 : 2020-07-01DOI: 10.1109/ICCSP48568.2020.9182193
Kasimala Venkatanagaraju, M. Biswal
Third operating zone (zone-3) of distance relay is the primary cause behind the Indian power system blackout occurred in 2012. Due to the inherent settings of the third protective zone, it is severely exposed to system stress conditions such as voltage instability and load encroachment. The similar incident is also experienced when a three-phase fault occurs during system stress conditions. To address these issues and to limit propagation of cascaded events lead to a blackout, a supervisory technique based on superimposed positive sequence current (SPSC) is proposed in this paper. The proposed technique is activated only when the scope of third zone maloperation exists. The amplitude of SPSC is zero during any operating conditions of the power system and significantly high during a fault. This helps to detect a three-phase fault and discriminate it from system stress conditions. Simulations and performance of the proposed technique are carried out on the IEEE 39 bus test system by using EMTDC/PSCAD and MATLAB software.
{"title":"Backup Protection Scheme to Prevent Unintended Relay Operation During Voltage Stress and Load Encroachment","authors":"Kasimala Venkatanagaraju, M. Biswal","doi":"10.1109/ICCSP48568.2020.9182193","DOIUrl":"https://doi.org/10.1109/ICCSP48568.2020.9182193","url":null,"abstract":"Third operating zone (zone-3) of distance relay is the primary cause behind the Indian power system blackout occurred in 2012. Due to the inherent settings of the third protective zone, it is severely exposed to system stress conditions such as voltage instability and load encroachment. The similar incident is also experienced when a three-phase fault occurs during system stress conditions. To address these issues and to limit propagation of cascaded events lead to a blackout, a supervisory technique based on superimposed positive sequence current (SPSC) is proposed in this paper. The proposed technique is activated only when the scope of third zone maloperation exists. The amplitude of SPSC is zero during any operating conditions of the power system and significantly high during a fault. This helps to detect a three-phase fault and discriminate it from system stress conditions. Simulations and performance of the proposed technique are carried out on the IEEE 39 bus test system by using EMTDC/PSCAD and MATLAB software.","PeriodicalId":321133,"journal":{"name":"2020 International Conference on Communication and Signal Processing (ICCSP)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122302776","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}
Diagnosis of any disease at its early stage correct treatment of the patients is necessary to save productive lives. Many techniques are adopted by different researchers to diagnose the disease at an early stage, but none of them are suitable due to the course of dimension dilemma. To differentiate the gap between logical and biological variation between the samples of the considered datasets, feature selection plays an important role. From different research, it is clear that while considering the local optima, PSO algorithm converges prematurely and decreases the diversity of the population. To avoid the limitations Crow Particle Optimization (CPSO) is implemented to identify the featured genes from a high dimensional dataset. The main concepts behind this CPO are related to the bird crow which hides a large number of foods in different places securely and collects it as per the need. To understand performance of the (CPSO-DNN) we have used three different evolutionary searchings like firefly search, elephant search and squirrel search. Gradient descent based Deep neural network with soft-max activation function has been used to maximize the no of feature genes by reducing the low impact features. Simulation results demonstrate that the (CPSO-DNN) exhibits an outstandingly higher accomplishment in terms of accuracy and can be considered as a better classification model as compared to other algorithms.
{"title":"A Crow Particle Swarm Optimization Algorithm with Deep Neural Network (CPSO-DNN) for High Dimensional Data Analysis","authors":"Bibhuprasad Sahu, Amrutanshu Panigrahi, Sasmita Pani, Shrabanee Swagatika, Debabrata Singh, Santosh Kumar","doi":"10.1109/ICCSP48568.2020.9182181","DOIUrl":"https://doi.org/10.1109/ICCSP48568.2020.9182181","url":null,"abstract":"Diagnosis of any disease at its early stage correct treatment of the patients is necessary to save productive lives. Many techniques are adopted by different researchers to diagnose the disease at an early stage, but none of them are suitable due to the course of dimension dilemma. To differentiate the gap between logical and biological variation between the samples of the considered datasets, feature selection plays an important role. From different research, it is clear that while considering the local optima, PSO algorithm converges prematurely and decreases the diversity of the population. To avoid the limitations Crow Particle Optimization (CPSO) is implemented to identify the featured genes from a high dimensional dataset. The main concepts behind this CPO are related to the bird crow which hides a large number of foods in different places securely and collects it as per the need. To understand performance of the (CPSO-DNN) we have used three different evolutionary searchings like firefly search, elephant search and squirrel search. Gradient descent based Deep neural network with soft-max activation function has been used to maximize the no of feature genes by reducing the low impact features. Simulation results demonstrate that the (CPSO-DNN) exhibits an outstandingly higher accomplishment in terms of accuracy and can be considered as a better classification model as compared to other algorithms.","PeriodicalId":321133,"journal":{"name":"2020 International Conference on Communication and Signal Processing (ICCSP)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122466844","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 : 2020-07-01DOI: 10.1109/ICCSP48568.2020.9182090
Sakthivel Sankaran, M. Rajasekaran, V. Govindaraj, P. Sowmiya, S. ShinyRebekka, B. Kaleeswaran
Cyanide is one of the most vigorous toxins which contains in plants naturally and it can affect all the animals especially in cattle. Cogitative can be easily affected by this toxic substance from consuming various kinds of natural plants like sorghum and Johnson grass. Most of the plant species contains cyanogenic glycosides and these cyanogenic glycosides are converted to hydrogen cyanide by hydrolyzation in the cattle body. After the hydrolyzation, hydrogen cyanide combine with methemoglobin is hemoglobin in the form of metalloprotein and this composite constrain the oxidative phosphorylation. As a ramification of this process the affected cogitative animals may die. This toxic cyanide can affect animals rapidly. In olden process the cyanide detection can be identified using the cherryred color change of the blood of affected cattle and in the necropsy early formation of death attendance are the cardinal symptoms of cyanide poisoning. If the treatment performed rapidly, toxin can be neutralized but in the most cases the animals die due to rapidly acting nature of the toxin. It is more important to prevent cattle from the toxic substances.
{"title":"Acute Cyanide Poisoning: Identification of Prussic Acid in by Analyzing of Various Parameters in Cattle","authors":"Sakthivel Sankaran, M. Rajasekaran, V. Govindaraj, P. Sowmiya, S. ShinyRebekka, B. Kaleeswaran","doi":"10.1109/ICCSP48568.2020.9182090","DOIUrl":"https://doi.org/10.1109/ICCSP48568.2020.9182090","url":null,"abstract":"Cyanide is one of the most vigorous toxins which contains in plants naturally and it can affect all the animals especially in cattle. Cogitative can be easily affected by this toxic substance from consuming various kinds of natural plants like sorghum and Johnson grass. Most of the plant species contains cyanogenic glycosides and these cyanogenic glycosides are converted to hydrogen cyanide by hydrolyzation in the cattle body. After the hydrolyzation, hydrogen cyanide combine with methemoglobin is hemoglobin in the form of metalloprotein and this composite constrain the oxidative phosphorylation. As a ramification of this process the affected cogitative animals may die. This toxic cyanide can affect animals rapidly. In olden process the cyanide detection can be identified using the cherryred color change of the blood of affected cattle and in the necropsy early formation of death attendance are the cardinal symptoms of cyanide poisoning. If the treatment performed rapidly, toxin can be neutralized but in the most cases the animals die due to rapidly acting nature of the toxin. It is more important to prevent cattle from the toxic substances.","PeriodicalId":321133,"journal":{"name":"2020 International Conference on Communication and Signal Processing (ICCSP)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132790682","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}
Path loss prediction is an important task in mobile communication networks. Quality of communication between nodes depend on the environment in which the network is operating. Path loss occurs due to many effects such as free-space loss, diffraction, refraction, and reflection. In this paper, we apply different machine learning techniques to model the path loss and to predict the loss in a similar environment. We have used distance vs signal strength data from different wireless access points. The comparison of different models shows that Kalman filtering is performing better in predicting the path loss.
{"title":"Model Selection for Path Loss Prediction in Wireless Networks","authors":"Undela Lavanya, Sowjanya Mupparaju, Padmavathi Patnala, Prathyeka Reddy Anugu, S. Surendran","doi":"10.1109/ICCSP48568.2020.9182186","DOIUrl":"https://doi.org/10.1109/ICCSP48568.2020.9182186","url":null,"abstract":"Path loss prediction is an important task in mobile communication networks. Quality of communication between nodes depend on the environment in which the network is operating. Path loss occurs due to many effects such as free-space loss, diffraction, refraction, and reflection. In this paper, we apply different machine learning techniques to model the path loss and to predict the loss in a similar environment. We have used distance vs signal strength data from different wireless access points. The comparison of different models shows that Kalman filtering is performing better in predicting the path loss.","PeriodicalId":321133,"journal":{"name":"2020 International Conference on Communication and Signal Processing (ICCSP)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130163574","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 : 2020-07-01DOI: 10.1109/ICCSP48568.2020.9182220
R. Sivakani, Gufran Ahmad Ansari
Alzheimer’s disease is the one of the worldwide emerging disease. Alzheimer is one of the types of Dementia. It is a brain disorder disease, which occurs for the people of age 60 and now a day it affects the middle age people also. So the researchers focus on this disease and they are trying to control the disease with various research techniques. Initially, they did the research for finding the drug for this disease then the focusing turned on analysis and prediction of the disease. Now the research is on prediction in the early stage. Feature extraction is one of the issues in the prediction using large dataset processing so the researchers are focusing in the feature extraction during the prediction of the disease. In this paper the feature extraction and feature selection process are performed using the machine learning algorithm, and then classification is done on the oasis longitudinal dataset.
{"title":"Machine Learning Framework for Implementing Alzheimer’s Disease","authors":"R. Sivakani, Gufran Ahmad Ansari","doi":"10.1109/ICCSP48568.2020.9182220","DOIUrl":"https://doi.org/10.1109/ICCSP48568.2020.9182220","url":null,"abstract":"Alzheimer’s disease is the one of the worldwide emerging disease. Alzheimer is one of the types of Dementia. It is a brain disorder disease, which occurs for the people of age 60 and now a day it affects the middle age people also. So the researchers focus on this disease and they are trying to control the disease with various research techniques. Initially, they did the research for finding the drug for this disease then the focusing turned on analysis and prediction of the disease. Now the research is on prediction in the early stage. Feature extraction is one of the issues in the prediction using large dataset processing so the researchers are focusing in the feature extraction during the prediction of the disease. In this paper the feature extraction and feature selection process are performed using the machine learning algorithm, and then classification is done on the oasis longitudinal dataset.","PeriodicalId":321133,"journal":{"name":"2020 International Conference on Communication and Signal Processing (ICCSP)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131497553","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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