Pub Date : 1900-01-01DOI: 10.56025/ijaresm.2022.10506
Arman Ahmad
The security cameras like CCTV (Closed Circuit Television) are tools that can minimize theft in both private homes and public places. But the problem with most of the CCTV and security cameras are that they are not having the mechanisms that can be used to monitor the place at an angle that is difficult to reach by a CCTV camera, i.e. they cannot be panned and tilted to reach an angle that is difficult to reach. Also, the CCTV cameras are not portable, are not wireless and requires a dedicated systems in order to be operable. In this study, a simulation tool was designed that combines an ESP32 Camera Module, that can be programmed using Arduino IDE, with 180 degree rotatable SG90 servo motors, in order for it to rotate horizontally and vertically. Its cost is significantly lesser than the cost of a moving CCTV camera, and it can be controlled from anywhere in the house within the WIFI range and its wireless. And with this simulation can be an alternative of CCTV cameras. Also, the requirement for a dedicated system and a dedicated person for the surveillance is absent, as it can be accessed from anyone having the WIFI credentials and within the range of the wifi network. Dedicated system is not required as it only needs a smartphone or PC/laptop for viewing camera footage
像CCTV(闭路电视)这样的安全摄像头是可以减少私人住宅和公共场所盗窃的工具。但是，大多数闭路电视和安全摄像机的问题在于，它们没有可以用于监控闭路电视摄像机难以达到的角度的机制，也就是说，它们不能平移和倾斜以达到难以达到的角度。此外，闭路电视摄像机不是便携式的，不是无线的，需要一个专门的系统才能操作。在本研究中，我们设计了一个仿真工具，该仿真工具结合了ESP32 Camera Module(可以使用Arduino IDE编程)和180度可旋转的SG90伺服电机，使其可以水平和垂直旋转。它的成本明显低于移动闭路电视摄像机的成本，并且可以在家里的任何地方在WIFI范围内进行控制。通过这种模拟可以替代闭路电视摄像机。此外，不需要专门的系统和专门的监控人员，因为任何拥有WIFI证书的人都可以在WIFI网络范围内访问它。不需要专用系统，因为它只需要智能手机或PC/笔记本电脑来查看相机镜头
{"title":"Rotatable WIFI Security Camera using ESP32 Cam","authors":"Arman Ahmad","doi":"10.56025/ijaresm.2022.10506","DOIUrl":"https://doi.org/10.56025/ijaresm.2022.10506","url":null,"abstract":"The security cameras like CCTV (Closed Circuit Television) are tools that can minimize theft in both private homes and public places. But the problem with most of the CCTV and security cameras are that they are not having the mechanisms that can be used to monitor the place at an angle that is difficult to reach by a CCTV camera, i.e. they cannot be panned and tilted to reach an angle that is difficult to reach. Also, the CCTV cameras are not portable, are not wireless and requires a dedicated systems in order to be operable. In this study, a simulation tool was designed that combines an ESP32 Camera Module, that can be programmed using Arduino IDE, with 180 degree rotatable SG90 servo motors, in order for it to rotate horizontally and vertically. Its cost is significantly lesser than the cost of a moving CCTV camera, and it can be controlled from anywhere in the house within the WIFI range and its wireless. And with this simulation can be an alternative of CCTV cameras. Also, the requirement for a dedicated system and a dedicated person for the surveillance is absent, as it can be accessed from anyone having the WIFI credentials and within the range of the wifi network. Dedicated system is not required as it only needs a smartphone or PC/laptop for viewing camera footage","PeriodicalId":365321,"journal":{"name":"International Journal of All Research Education & Scientific Methods","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127561684","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 : 1900-01-01DOI: 10.56025/ijaresm.2022.10510
Yogita Basene, R. Gothalwal
The different types of organic waste/ pollutants are mainly generated from the various industries, specifically in the sectors of paper, fertilizer, silk, textiles, food processing, pharmaceuticals, oil refineries, sugar, distillers, brewery, cotton etc. The main pollutants from such industries are particulate matter, waste water, which contains carbohydrates, protein, lipids and oxides of Sulphur, nitrogen, carbon, which are continuously raising soil, water and air pollution index of state. Such type of pollution can be reduced by the proper utilization of organic waste/pollutants for the purpose of energy generation; due to the organic matter has immense potential for energy recovery. One of the latest technologies is microbial fuel cell technology (MFC). MFC is a modern alternative renewable energy resource for wastewater treatment and contaminants reduction. The mechanisms of MFC are based on oxidation – reduction, where microbes like bacteria, fungi and cynobacteria will catalyze oxidation of organic substrate and electron donor at the anode or removed at the cathode as electron acceptor through reduction. It is a device that converts chemical energy to electrical energy during conversion of complex organic matter, which is used as substrate by microorganism, where bioelectricity can be produced, under low cost and in ecofriendly manner which can be beneficial to reduce the carbon footprint in future.
{"title":"Effective use and Transformation of organic /agriculture Waste for Energy Recovery along with Zero Carbon Footprint","authors":"Yogita Basene, R. Gothalwal","doi":"10.56025/ijaresm.2022.10510","DOIUrl":"https://doi.org/10.56025/ijaresm.2022.10510","url":null,"abstract":"The different types of organic waste/ pollutants are mainly generated from the various industries, specifically in the sectors of paper, fertilizer, silk, textiles, food processing, pharmaceuticals, oil refineries, sugar, distillers, brewery, cotton etc. The main pollutants from such industries are particulate matter, waste water, which contains carbohydrates, protein, lipids and oxides of Sulphur, nitrogen, carbon, which are continuously raising soil, water and air pollution index of state. Such type of pollution can be reduced by the proper utilization of organic waste/pollutants for the purpose of energy generation; due to the organic matter has immense potential for energy recovery. One of the latest technologies is microbial fuel cell technology (MFC). MFC is a modern alternative renewable energy resource for wastewater treatment and contaminants reduction. The mechanisms of MFC are based on oxidation – reduction, where microbes like bacteria, fungi and cynobacteria will catalyze oxidation of organic substrate and electron donor at the anode or removed at the cathode as electron acceptor through reduction. It is a device that converts chemical energy to electrical energy during conversion of complex organic matter, which is used as substrate by microorganism, where bioelectricity can be produced, under low cost and in ecofriendly manner which can be beneficial to reduce the carbon footprint in future.","PeriodicalId":365321,"journal":{"name":"International Journal of All Research Education & Scientific Methods","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131024688","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 : 1900-01-01DOI: 10.56025/ijaresm.2022.10614
Dr. Bishnu Priya Das
{"title":"A One Health Approach to Anthrax","authors":"Dr. Bishnu Priya Das","doi":"10.56025/ijaresm.2022.10614","DOIUrl":"https://doi.org/10.56025/ijaresm.2022.10614","url":null,"abstract":"","PeriodicalId":365321,"journal":{"name":"International Journal of All Research Education & Scientific Methods","volume":"115 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115989448","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 : 1900-01-01DOI: 10.56025/ijaresm.2023.113231479
Kusum Kushwah
High concentration of AlF3 is known to cause serious effects on several body functions. Fluoride while low level of fluoride help strengthen and protect tooth enamel, too much F can cause dental fluorosis. Aloe vera plant is a medicinal plant its belonging to the family Liliaceae. The quality of Aloe vera is wound healing, burns, diabetes, to relieve the intestinal, arthritis swelling and cure ulcers. Extract of Aloe vera managed to male albino rats with high blood glucose levels resulted in a significant decrease in the plasma glucose levels of the male rats. Healthy and adult male albino rats weighted between 150-200g were administrated orally Aluminium fluoride (AlF3) 200mg/kg body weight and Aloe vera 300mg/kg body weight for a period of 60 days. Male albino rats divided in two groups. Group l–Control group, rats were maintained on normal diet and tap water. Group ll-Treated group, Aluminium fluoride treated group and Aluminium fluoride + Aloe vera treated group. After 60 days the rats were fasted overnight and sacrificed under mild ether anesthesia. In this study observed that aluminium fluoride administration toxic effects on haematological parameters in male albino rats. The value of TEC (Total Erythrocyte Counts) and Hb.con. (Haemoglobin Concentration) are decreased and TLC (Total Leucocyte Count) is increased. This study revealed that Aloe vera alleviated the toxic effect of aluminium fluoride. Aloe vera has protective influences on the haematological parameters in male albino rats
{"title":"Protective Effects of Aloe Vera on Aluminium Fluoride Toxicity on Haematological Parameters in Male Albino Rats","authors":"Kusum Kushwah","doi":"10.56025/ijaresm.2023.113231479","DOIUrl":"https://doi.org/10.56025/ijaresm.2023.113231479","url":null,"abstract":"High concentration of AlF3 is known to cause serious effects on several body functions. Fluoride while low level of fluoride help strengthen and protect tooth enamel, too much F can cause dental fluorosis. Aloe vera plant is a medicinal plant its belonging to the family Liliaceae. The quality of Aloe vera is wound healing, burns, diabetes, to relieve the intestinal, arthritis swelling and cure ulcers. Extract of Aloe vera managed to male albino rats with high blood glucose levels resulted in a significant decrease in the plasma glucose levels of the male rats. Healthy and adult male albino rats weighted between 150-200g were administrated orally Aluminium fluoride (AlF3) 200mg/kg body weight and Aloe vera 300mg/kg body weight for a period of 60 days. Male albino rats divided in two groups. Group l–Control group, rats were maintained on normal diet and tap water. Group ll-Treated group, Aluminium fluoride treated group and Aluminium fluoride + Aloe vera treated group. After 60 days the rats were fasted overnight and sacrificed under mild ether anesthesia. In this study observed that aluminium fluoride administration toxic effects on haematological parameters in male albino rats. The value of TEC (Total Erythrocyte Counts) and Hb.con. (Haemoglobin Concentration) are decreased and TLC (Total Leucocyte Count) is increased. This study revealed that Aloe vera alleviated the toxic effect of aluminium fluoride. Aloe vera has protective influences on the haematological parameters in male albino rats","PeriodicalId":365321,"journal":{"name":"International Journal of All Research Education & Scientific Methods","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128232028","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 : 1900-01-01DOI: 10.56025/ijaresm.2022.10517
Dr. Priya P. Bhagat, Dr. Madhuri Pachghare
Ayurveda is an ancient science deals with livelihood of human beings. It also deals with health and diseases in human body. All the principles regarding health and diseases in human are mentioned in Ayurvedic compodium called as Samhita. Samhita are dealing with various principles regarding healthy person and unhealthy person i.e. patient. There are many samhitas but some are used widely under the head of laghutrayee and brihattrayee. In Brihattrayi Charak samhita are important while dealing with patients .Charak samhita is having 8 sthanas. Among all 8 sthanas Indriyasthan is one which is not seperataly find in other samhita likewise found in Charak samhita. Indriyasthan is the speciality of charak samhita that deals with the various vital sign and symptoms occur in diseases in various types of patients .The study of Indriyasthan gives knowledge about whether the diseases is curable or not. It also helps in the prognosis of diseases and patients. The present study deals with the same showing importance of Charak samhita Indriyasthan.
{"title":"A Review Study on Importance of Charak Samhita Indriyasthan","authors":"Dr. Priya P. Bhagat, Dr. Madhuri Pachghare","doi":"10.56025/ijaresm.2022.10517","DOIUrl":"https://doi.org/10.56025/ijaresm.2022.10517","url":null,"abstract":"Ayurveda is an ancient science deals with livelihood of human beings. It also deals with health and diseases in human body. All the principles regarding health and diseases in human are mentioned in Ayurvedic compodium called as Samhita. Samhita are dealing with various principles regarding healthy person and unhealthy person i.e. patient. There are many samhitas but some are used widely under the head of laghutrayee and brihattrayee. In Brihattrayi Charak samhita are important while dealing with patients .Charak samhita is having 8 sthanas. Among all 8 sthanas Indriyasthan is one which is not seperataly find in other samhita likewise found in Charak samhita. Indriyasthan is the speciality of charak samhita that deals with the various vital sign and symptoms occur in diseases in various types of patients .The study of Indriyasthan gives knowledge about whether the diseases is curable or not. It also helps in the prognosis of diseases and patients. The present study deals with the same showing importance of Charak samhita Indriyasthan.","PeriodicalId":365321,"journal":{"name":"International Journal of All Research Education & Scientific Methods","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124696823","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 : 1900-01-01DOI: 10.56025/ijaresm.2022.10624
N. V. Kumar, V. Chavan
Welfare programmes will assist underprivileged pupils in pursuing their goals. The Andhra Pradesh government has created a number of welfare programmes for people of the state, including programmes for women, retirees, youth, farmers, entrepreneurs, labourers, and students from all walks of life. The YSRCP government has made revolutionary reforms in the education sector by implementing a range of assistance packages to assist students from lower socioeconomic backgrounds in pursuing their goals. Nadu nedu, ammavadi, Jaganaannavidyakanuka, Jaganannagorumudda etc., are the welfare schemes implanted by government of Andhra Pradesh to the high school students. In the present study the investigator made a research study on utility of social welfare schemes by high school students of Kurnool district Andhra Pradesh in relating to their demographical variable like gender, class, locality, type of school, medium, religion, category, parent’s income, parents occupation, parents education and type of family. Randomly 9 high schools of the rural and urban area of Kurnool District, Andhra Pradesh. The sample size is 630. The investigator adopted interview method of research to study on the present topic. For the present study the investigator used the tools with Personal standardized Data Sheet on utility of social welfare schemes by high school students in Kurnool district constructed and validated by the investigator. Percentage analysis, Mean, Standard deviation and t – test statistical techniques were used for Analysis and Interpretation. It is found that there is a significant utilization of social welfare schemes by Kurnool district high school students. There is a significant difference between boys and girls and girls utilized social welfare schemes better than boys. There is a significant difference btween urban and rural students and the rural students are utilized social welfare schemes in comparison to urban students. It is also found that there is significant difference among demographical variables like type of school, medium, Religion, category, parent’s income, and type of family in utility of welfare schemes by high school students. There is no significant difference among high school students related to class, parent’s qualification and their education.
{"title":"Social Welfare Schemes Utility by high School Students","authors":"N. V. Kumar, V. Chavan","doi":"10.56025/ijaresm.2022.10624","DOIUrl":"https://doi.org/10.56025/ijaresm.2022.10624","url":null,"abstract":"Welfare programmes will assist underprivileged pupils in pursuing their goals. The Andhra Pradesh government has created a number of welfare programmes for people of the state, including programmes for women, retirees, youth, farmers, entrepreneurs, labourers, and students from all walks of life. The YSRCP government has made revolutionary reforms in the education sector by implementing a range of assistance packages to assist students from lower socioeconomic backgrounds in pursuing their goals. Nadu nedu, ammavadi, Jaganaannavidyakanuka, Jaganannagorumudda etc., are the welfare schemes implanted by government of Andhra Pradesh to the high school students. In the present study the investigator made a research study on utility of social welfare schemes by high school students of Kurnool district Andhra Pradesh in relating to their demographical variable like gender, class, locality, type of school, medium, religion, category, parent’s income, parents occupation, parents education and type of family. Randomly 9 high schools of the rural and urban area of Kurnool District, Andhra Pradesh. The sample size is 630. The investigator adopted interview method of research to study on the present topic. For the present study the investigator used the tools with Personal standardized Data Sheet on utility of social welfare schemes by high school students in Kurnool district constructed and validated by the investigator. Percentage analysis, Mean, Standard deviation and t – test statistical techniques were used for Analysis and Interpretation. It is found that there is a significant utilization of social welfare schemes by Kurnool district high school students. There is a significant difference between boys and girls and girls utilized social welfare schemes better than boys. There is a significant difference btween urban and rural students and the rural students are utilized social welfare schemes in comparison to urban students. It is also found that there is significant difference among demographical variables like type of school, medium, Religion, category, parent’s income, and type of family in utility of welfare schemes by high school students. There is no significant difference among high school students related to class, parent’s qualification and their education.","PeriodicalId":365321,"journal":{"name":"International Journal of All Research Education & Scientific Methods","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127150664","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 : 1900-01-01DOI: 10.56025/ijaresm.2022.10610
Dr. S. Gomathi, P. H. Jaasmin, K. Lakshmi
Facial Emotional Recognition is an interesting topic with a wide range of various applications such as image and video retrieval, automated tutoring systems, human-computer interaction, and driver warning systems. Facial expression is one of the nonverbal communication. With the help of analyzing human facial emotion, the inner feelings and real emotions of a person can be identified. Capturing the dynamics of facial expression progression in the video is an essential and challenging task for facial expression recognition (FER). The proposed system uses a new low-cost and multi-user framework based on big data analysis for patient feelings, where emotion is detected in terms of facial expression. A Faster region convolutional neural network (FRCNN) is applied to the whole facial observation to learn the global characteristics of six different expressions namely Happy, Sad, anger, surprise, and neutral. Finally, the Predicted emotions are shown as output.
{"title":"Deep Convolutional Neural Network for Real-Time Facial Expression Detection","authors":"Dr. S. Gomathi, P. H. Jaasmin, K. Lakshmi","doi":"10.56025/ijaresm.2022.10610","DOIUrl":"https://doi.org/10.56025/ijaresm.2022.10610","url":null,"abstract":"Facial Emotional Recognition is an interesting topic with a wide range of various applications such as image and video retrieval, automated tutoring systems, human-computer interaction, and driver warning systems. Facial expression is one of the nonverbal communication. With the help of analyzing human facial emotion, the inner feelings and real emotions of a person can be identified. Capturing the dynamics of facial expression progression in the video is an essential and challenging task for facial expression recognition (FER). The proposed system uses a new low-cost and multi-user framework based on big data analysis for patient feelings, where emotion is detected in terms of facial expression. A Faster region convolutional neural network (FRCNN) is applied to the whole facial observation to learn the global characteristics of six different expressions namely Happy, Sad, anger, surprise, and neutral. Finally, the Predicted emotions are shown as output.","PeriodicalId":365321,"journal":{"name":"International Journal of All Research Education & Scientific Methods","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121037593","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 : 1900-01-01DOI: 10.56025/ijaresm.2022.10603
Dr.S.Vijaya kumar
The present study reveals that social support among normal and HIV/AIDS patients there is no significant difference in mental health and social support between male and female there is significant difference in social support of normal and HIV+ve patients there is difference in mental health of normal and HIV +ve male and female.
{"title":"“Mental Health and Social Support among Normal and Hiv/Aids Patients”","authors":"Dr.S.Vijaya kumar","doi":"10.56025/ijaresm.2022.10603","DOIUrl":"https://doi.org/10.56025/ijaresm.2022.10603","url":null,"abstract":"The present study reveals that social support among normal and HIV/AIDS patients there is no significant difference in mental health and social support between male and female there is significant difference in social support of normal and HIV+ve patients there is difference in mental health of normal and HIV +ve male and female.","PeriodicalId":365321,"journal":{"name":"International Journal of All Research Education & Scientific Methods","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121369266","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 : 1900-01-01DOI: 10.56025/ijaresm.2023.118231076
Mrs. Shweta B. Powar, Mr. Krishnakant Ajit Choure, Mr. Abhijit Rajendra Pawar, Ms. Shivani Ramesh Bhosale, Mr. Pratik Vijay Kamble, Mr.Vishwajeet Sujay Patil6, Mr. Harshvardhan Sangram Warke
{"title":"Formulation of Antibacterial Cream from Extract of Curcumalonga and it's Evaluation","authors":"Mrs. Shweta B. Powar, Mr. Krishnakant Ajit Choure, Mr. Abhijit Rajendra Pawar, Ms. Shivani Ramesh Bhosale, Mr. Pratik Vijay Kamble, Mr.Vishwajeet Sujay Patil6, Mr. Harshvardhan Sangram Warke","doi":"10.56025/ijaresm.2023.118231076","DOIUrl":"https://doi.org/10.56025/ijaresm.2023.118231076","url":null,"abstract":"","PeriodicalId":365321,"journal":{"name":"International Journal of All Research Education & Scientific Methods","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130817710","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 : 1900-01-01DOI: 10.56025/ijaresm.2022.10607
Mrs. P. Jenifer, Ms. R. Femy Angelin, M. Harini
Distinguishing the source of a hereditary malady may be a principal challenge in science. The issue of machine learning in recognizing potential connections of innate disarrangement is challenging due to the need of known affiliations and the requirement of "negative" affiliations. Fog Computing organizes and analyzes information to supply and collect the information required for expectation, whereas lessening idleness and brief buffer periods for malady forecasts. This paper proposes an proficient AI-based hereditary clutter expectation strategy utilizing counterfeit neural organize with Fog Computing. Expectations are based on hereditary infections. At first, quiet wellbeing information is accumulated through numerous datasets and put away on Fog Hubs. Profound Learning, a shape of AI time called Fake Neural systems, is utilized to accept hereditary issues. As a portion of ANN, the connections between the convolution layers in a feedforward neural organize calculation don't create a circle. To begin with, the methodology is utilized to cluster the tireless prosperity records. At long last, a feedforward neural organize is utilized to figure hereditary clutters. A point by point test and ponder on genuine healthcare information was performed to assess the execution of the proposed works. The test appears that the proposed work viablely predicts infection with a tall degree of exactness in distinguishing hereditary anomalies, as well as extraordinary soundness and execution.
{"title":"Genetic Disorder Prediction Using ANN with Fog Computing","authors":"Mrs. P. Jenifer, Ms. R. Femy Angelin, M. Harini","doi":"10.56025/ijaresm.2022.10607","DOIUrl":"https://doi.org/10.56025/ijaresm.2022.10607","url":null,"abstract":"Distinguishing the source of a hereditary malady may be a principal challenge in science. The issue of machine learning in recognizing potential connections of innate disarrangement is challenging due to the need of known affiliations and the requirement of \"negative\" affiliations. Fog Computing organizes and analyzes information to supply and collect the information required for expectation, whereas lessening idleness and brief buffer periods for malady forecasts. This paper proposes an proficient AI-based hereditary clutter expectation strategy utilizing counterfeit neural organize with Fog Computing. Expectations are based on hereditary infections. At first, quiet wellbeing information is accumulated through numerous datasets and put away on Fog Hubs. Profound Learning, a shape of AI time called Fake Neural systems, is utilized to accept hereditary issues. As a portion of ANN, the connections between the convolution layers in a feedforward neural organize calculation don't create a circle. To begin with, the methodology is utilized to cluster the tireless prosperity records. At long last, a feedforward neural organize is utilized to figure hereditary clutters. A point by point test and ponder on genuine healthcare information was performed to assess the execution of the proposed works. The test appears that the proposed work viablely predicts infection with a tall degree of exactness in distinguishing hereditary anomalies, as well as extraordinary soundness and execution.","PeriodicalId":365321,"journal":{"name":"International Journal of All Research Education & Scientific Methods","volume":"331 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122839104","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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