Pub Date : 2020-05-30DOI: 10.35940/ijrte.a1559.059120
Though we live in the 21st century with high degree of comfort and sophistication, we fail utterly in cases of women safety. Around 34,600 sexual molestation cases were reported against men in last 6 years in India. In 2017, everyday 6 sexual molestation cases are being reported in India, in an average. So, there is a huge and urgent need to re-fabricate the social fabric of the society to ensure women safety. Hereby, we propose a system of complete automation to ensure the safety of women which also enables us to identify and act accordingly in the cases of emergency. This system can be used to ensure the safety of any living individual. The main advantage of this system is that it does not require any action of the affected individual to get help, i.e., Supreme automation. It can be used to check the clean flow of life of individuals especially, the elders, women and kids. It enables us to help the needed in the exact time of need. This system works on the basis of the user’s cognitive state analysis (Normal/Unconscious/High alertness (Fear))
{"title":"Cognitive State Analysis System to Ensure Safety of Women and Elderly","authors":"","doi":"10.35940/ijrte.a1559.059120","DOIUrl":"https://doi.org/10.35940/ijrte.a1559.059120","url":null,"abstract":"Though we live in the 21st century with high degree of comfort and sophistication, we fail utterly in cases of women safety. Around 34,600 sexual molestation cases were reported against men in last 6 years in India. In 2017, everyday 6 sexual molestation cases are being reported in India, in an average. So, there is a huge and urgent need to re-fabricate the social fabric of the society to ensure women safety. Hereby, we propose a system of complete automation to ensure the safety of women which also enables us to identify and act accordingly in the cases of emergency. This system can be used to ensure the safety of any living individual. The main advantage of this system is that it does not require any action of the affected individual to get help, i.e., Supreme automation. It can be used to check the clean flow of life of individuals especially, the elders, women and kids. It enables us to help the needed in the exact time of need. This system works on the basis of the user’s cognitive state analysis (Normal/Unconscious/High alertness (Fear))","PeriodicalId":220909,"journal":{"name":"International Journal of Recent Technology and Engineering","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131590813","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 : 2020-05-30DOI: 10.35940/ijrte.a2662.059120
Rameshwar Yadav, S. Solanki, Sarthak Saharna
Due to the current continued use of fossil fuels such as crude oil, natural gas and coal, the current economic growth rate is unstable. Therefore, renewable energy sources are being exploited, but some resources, such as plastic waste, need to be developed into a fullfledged economic activity. Modernization and development have led to a huge increase in the production of all types of plastics, which have their widespread applications and low cost. The landscape of plastic recycling practices is reviewed in this paper. Its aim is to provide an in-depth analysis of the pyrolysis of plastic waste obtained in current recycling technology. Since the calorific value of the plastic is equal to the value of the hydrocarbon fuel, it provides a good opportunity to use the fuel generated waste from the plastic waste and generate the fuel. The technique of fueling plastic waste through the pyrolysis process is discussed. Therefore, efforts have been made to overcome the problem of plastic waste and the shortage of fossil fuels by creating fuel from plastic waste. We look forward to improving the environmental balance as plastic has a negative impact on the environment. Therefore, an attempt has been made to address the issue of plastic waste disposal as a partial alternative in hopes of promoting a sustainable environment for decaying fossil fuels [4].
{"title":"Pyrolysis of Waste Plastic into Fuel","authors":"Rameshwar Yadav, S. Solanki, Sarthak Saharna","doi":"10.35940/ijrte.a2662.059120","DOIUrl":"https://doi.org/10.35940/ijrte.a2662.059120","url":null,"abstract":"Due to the current continued use of fossil fuels such as crude oil, natural gas and coal, the current economic growth rate is unstable. Therefore, renewable energy sources are being exploited, but some resources, such as plastic waste, need to be developed into a fullfledged economic activity. Modernization and development have led to a huge increase in the production of all types of plastics, which have their widespread applications and low cost. The landscape of plastic recycling practices is reviewed in this paper. Its aim is to provide an in-depth analysis of the pyrolysis of plastic waste obtained in current recycling technology. Since the calorific value of the plastic is equal to the value of the hydrocarbon fuel, it provides a good opportunity to use the fuel generated waste from the plastic waste and generate the fuel. The technique of fueling plastic waste through the pyrolysis process is discussed. Therefore, efforts have been made to overcome the problem of plastic waste and the shortage of fossil fuels by creating fuel from plastic waste. We look forward to improving the environmental balance as plastic has a negative impact on the environment. Therefore, an attempt has been made to address the issue of plastic waste disposal as a partial alternative in hopes of promoting a sustainable environment for decaying fossil fuels [4].","PeriodicalId":220909,"journal":{"name":"International Journal of Recent Technology and Engineering","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131716563","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 : 2020-05-30DOI: 10.35940/ijrte.a2776.059120
Kartik Katti
Dashboards are thought of as a single point of reference usually for sales or performance. Organizations are now adapting to data dashboards or information dashboards. Identifying what is an information dashboard and what is not might get confusing at times, an information dashboard can be thought of as a set of items that represent any resource, which allows the targeted audience to understand or gain useful insights regarding the data being displayed. This paper discusses about an informational dashboard that can be used by organizations to have a consolidated view of status of all the processes, health of cloud resources and various other operational information spread across multiple platforms for central monitoring and support.
{"title":"Monitoring of Cloud Resources through Dashboard","authors":"Kartik Katti","doi":"10.35940/ijrte.a2776.059120","DOIUrl":"https://doi.org/10.35940/ijrte.a2776.059120","url":null,"abstract":"Dashboards are thought of as a single point of reference usually for sales or performance. Organizations are now adapting to data dashboards or information dashboards. Identifying what is an information dashboard and what is not might get confusing at times, an information dashboard can be thought of as a set of items that represent any resource, which allows the targeted audience to understand or gain useful insights regarding the data being displayed. This paper discusses about an informational dashboard that can be used by organizations to have a consolidated view of status of all the processes, health of cloud resources and various other operational information spread across multiple platforms for central monitoring and support.","PeriodicalId":220909,"journal":{"name":"International Journal of Recent Technology and Engineering","volume":"107 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131785864","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 : 2020-05-30DOI: 10.35940/ijrte.f7295.059120
Varsha Vatsala, T. Poongodi
The rapid growth development of the Internet of Things (IoT) has supported communication between various smart devices and it helps to exchange data between them. IoT is very highly demand topics between the researchers. The main goal of IoT in health care is to provide real time monitoring of the patient. But these new challenges also introduced the privacy and security to the health care data. Security is a major concern of the data. A system requires with authentic protocol for maintaining privacy of health care data. After going through all methodologies of the protocol encryption will be carried out of data of the health care with “two fish” encryption technique. At server side, it will automatically get decrypted after applying key. Two fish encryption algorithm is a block cipher algorithm of 128 bit. The key length vary until 256 bit. Key is divided in two parts as the first half of the key will encrypt the plain text and second half of the key will modify the encryption algorithm.
{"title":"Security and Privacy of E-Health Data using Two Fish Encryption Algorithm","authors":"Varsha Vatsala, T. Poongodi","doi":"10.35940/ijrte.f7295.059120","DOIUrl":"https://doi.org/10.35940/ijrte.f7295.059120","url":null,"abstract":"The rapid growth development of the Internet of Things (IoT) has supported communication between various smart devices and it helps to exchange data between them. IoT is very highly demand topics between the researchers. The main goal of IoT in health care is to provide real time monitoring of the patient. But these new challenges also introduced the privacy and security to the health care data. Security is a major concern of the data. A system requires with authentic protocol for maintaining privacy of health care data. After going through all methodologies of the protocol encryption will be carried out of data of the health care with “two fish” encryption technique. At server side, it will automatically get decrypted after applying key. Two fish encryption algorithm is a block cipher algorithm of 128 bit. The key length vary until 256 bit. Key is divided in two parts as the first half of the key will encrypt the plain text and second half of the key will modify the encryption algorithm.","PeriodicalId":220909,"journal":{"name":"International Journal of Recent Technology and Engineering","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131795899","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 : 2020-05-30DOI: 10.35940/ijrte.a1255.059120
In modern day technology, among the elderly population, there is an increased cases of dementia. However, there is a delay in dementia diagnosis over the past years. So there is a primary requirement for improving diagnosis of dementia in every part of the nation across the world. However, Dementia screening remains controversial, although strong preference is given for screening dementia, mainly for hospital inpatients. Here the objective is to implement screening, to alert family members about the condition of patients. The entire screening process is achieved using Robotic Process Automation where automatic screening and validation of the mental state of the elderly people is recognized and shared with their respective family members
{"title":"Robotic Process Automation: Diagnosis of Dementia on Aged People","authors":"","doi":"10.35940/ijrte.a1255.059120","DOIUrl":"https://doi.org/10.35940/ijrte.a1255.059120","url":null,"abstract":"In modern day technology, among the elderly population, there is an increased cases of dementia. However, there is a delay in dementia diagnosis over the past years. So there is a primary requirement for improving diagnosis of dementia in every part of the nation across the world. However, Dementia screening remains controversial, although strong preference is given for screening dementia, mainly for hospital inpatients. Here the objective is to implement screening, to alert family members about the condition of patients. The entire screening process is achieved using Robotic Process Automation where automatic screening and validation of the mental state of the elderly people is recognized and shared with their respective family members","PeriodicalId":220909,"journal":{"name":"International Journal of Recent Technology and Engineering","volume":"98 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131799023","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 : 2020-05-30DOI: 10.35940/ijrte.f9896.059120
over the recent years much advancement are made in terms of artificial intelligence, machine learning, human-machine interaction etc. Voice interaction with the machine or giving command to it to perform a specific task is increasingly popular. Many consumer electronics are integrated with SIRI, Alexa, cortana, Google assist etc. But machines have limitation that they cannot interact with a person like a human conversational partner. It cannot recognize Human Emotion and react to them. Emotion Recognition from speech is a cutting edge research topic in the Human machines Interaction field. There is a demand to design a more rugged man-machine communication system, as machines are indispensable to our lives. Many researchers are working currently on speech emotion recognition(SER) to improve the man machines interaction. To achieve this goal, a computer should be able to recognize emotional states and react to them in the same way as we humans do. The effectiveness of the speech emotion recognition(SER) system depends on quality of extracted features and the type of classifiers used . In this paper we tried to identify four basic emotions: anger, sadness, neutral, happiness from speech. Here we used audio file of short Manipuri speech taken from movies as training and testing dataset . This paper use CNN to identify four different emotions using MFCC (Mel Frequency Cepstral Coefficient )as features extraction technique from speech.
近年来，在人工智能、机器学习、人机交互等方面取得了很大进展。与机器进行语音交互或向机器发出执行特定任务的命令越来越受欢迎。许多消费电子产品都集成了SIRI, Alexa, cortana, Google assistant等。但机器也有局限性，它们不能像人类对话伙伴那样与人互动。它不能识别人类的情感并做出反应。语音情感识别是人机交互领域的一个前沿研究课题。由于机器在我们的生活中是不可缺少的，因此需要设计一种更加坚固的人机通信系统。语音情感识别(SER)是提高人机交互能力的重要技术之一。为了实现这一目标，计算机应该能够识别情绪状态，并以与人类相同的方式对其做出反应。语音情感识别(SER)系统的有效性取决于提取特征的质量和使用的分类器类型。在本文中，我们试图从言语中识别出四种基本情绪:愤怒、悲伤、中性、快乐。在这里，我们使用从电影中提取的曼尼普尔语短音频文件作为训练和测试数据集。本文利用CNN从语音中提取四种不同的情绪，并采用MFCC (Mel Frequency Cepstral Coefficient)作为特征提取技术。
{"title":"Emotion Recognition of Manipuri Speech using Convolution Neural Network.","authors":"","doi":"10.35940/ijrte.f9896.059120","DOIUrl":"https://doi.org/10.35940/ijrte.f9896.059120","url":null,"abstract":"over the recent years much advancement are made in terms of artificial intelligence, machine learning, human-machine interaction etc. Voice interaction with the machine or giving command to it to perform a specific task is increasingly popular. Many consumer electronics are integrated with SIRI, Alexa, cortana, Google assist etc. But machines have limitation that they cannot interact with a person like a human conversational partner. It cannot recognize Human Emotion and react to them. Emotion Recognition from speech is a cutting edge research topic in the Human machines Interaction field. There is a demand to design a more rugged man-machine communication system, as machines are indispensable to our lives. Many researchers are working currently on speech emotion recognition(SER) to improve the man machines interaction. To achieve this goal, a computer should be able to recognize emotional states and react to them in the same way as we humans do. The effectiveness of the speech emotion recognition(SER) system depends on quality of extracted features and the type of classifiers used . In this paper we tried to identify four basic emotions: anger, sadness, neutral, happiness from speech. Here we used audio file of short Manipuri speech taken from movies as training and testing dataset . This paper use CNN to identify four different emotions using MFCC (Mel Frequency Cepstral Coefficient )as features extraction technique from speech.","PeriodicalId":220909,"journal":{"name":"International Journal of Recent Technology and Engineering","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128949839","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 : 2020-05-30DOI: 10.35940/ijrte.a1189.059120
However, oftentimes people just search a restaurant by using word “restaurant”, while the word “restaurant” means differently to different individuals. For an Asian, it can mean a “Chinese restaurant” or “Thai restaurant”. How to correctly interpret search requests based on people’s preference is a challenge. Building a machine-learning model based on activity history of a registered user can solve this problem. The activity histories used by this research are reviews and ratings from users. This project introduces a data processing pipeline, which uses reviews from registered users to generate a machine-learning model for each registered user. This project also defines an architecture, which uses the generated machine-learning models to support real-time personalized recommendations for restaurant searching and type of foods good at those recommended restaurants. Finally, this project aims to develop a good machine learning model, different collaborative filtering methodologies are considered to predict restaurants using user ratings. Slope One, k-Nearest Neighbors algorithm and multiclass SVM classification are some of the collaborating methodologies are going to consider in this project.
{"title":"A Machine Learning Model for Recommending Restaurants based on User Ratings","authors":"","doi":"10.35940/ijrte.a1189.059120","DOIUrl":"https://doi.org/10.35940/ijrte.a1189.059120","url":null,"abstract":"However, oftentimes people just search a restaurant by using word “restaurant”, while the word “restaurant” means differently to different individuals. For an Asian, it can mean a “Chinese restaurant” or “Thai restaurant”. How to correctly interpret search requests based on people’s preference is a challenge. Building a machine-learning model based on activity history of a registered user can solve this problem. The activity histories used by this research are reviews and ratings from users. This project introduces a data processing pipeline, which uses reviews from registered users to generate a machine-learning model for each registered user. This project also defines an architecture, which uses the generated machine-learning models to support real-time personalized recommendations for restaurant searching and type of foods good at those recommended restaurants. Finally, this project aims to develop a good machine learning model, different collaborative filtering methodologies are considered to predict restaurants using user ratings. Slope One, k-Nearest Neighbors algorithm and multiclass SVM classification are some of the collaborating methodologies are going to consider in this project.","PeriodicalId":220909,"journal":{"name":"International Journal of Recent Technology and Engineering","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131133535","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 : 2020-05-30DOI: 10.35940/ijrte.f9882.059120
The auto sector stock price trend is based on many national and international uncertain factors. It is challenging to predict the impact of such a factor on the stock price trend as the impact of the same factor varies at different points of time. In this research work, we are predicting the auto sector stock price trend using patterns in the historical data using a machine learning method.
{"title":"Auto Sector Stock Price Trend Prediction using Decision Tree","authors":"","doi":"10.35940/ijrte.f9882.059120","DOIUrl":"https://doi.org/10.35940/ijrte.f9882.059120","url":null,"abstract":"The auto sector stock price trend is based on many national and international uncertain factors. It is challenging to predict the impact of such a factor on the stock price trend as the impact of the same factor varies at different points of time. In this research work, we are predicting the auto sector stock price trend using patterns in the historical data using a machine learning method.","PeriodicalId":220909,"journal":{"name":"International Journal of Recent Technology and Engineering","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132927916","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 : 2020-05-30DOI: 10.35940/ijrte.a2424.059120
Burenina Nataliya Borisovna
For maintenance of economic security steady dynamic development of the system, permanent height of standard of living of population, is needed in a country, regardless of affecting her unfavorable external and internal factors. The basic problem of steady social development of regions is an unsolved to present tense problem of poverty and inequality. The aim of the real article is research of social development of Russia in a dynamics by realization of comparative analysis of quantitative indexes of level of poverty in a country and in her separate regions, level of inequality, exposure of reasons of decline of standard of living of population and development of recommendations on overcoming of poverty and inequality, height of welfare of population. The dialectical method of research of processes and phenomena, analysis of the systems and comparative, method of expert estimations, methods of groupment, tabular, abstractly-logical method, synthesis, is inprocess used. As a result of undertaken a study of social development of Russia it is educed the method of expert estimations a standard of living of population is at low level and is the serious threat of economic and social security of country. 10 is educed the most poor regions of Russia, where the level of poverty makes the fourth of population of these regions practically, and in separate regions he makes a to 40% population from 30%. The problem of social inequality, that arose up after disintegration of the USSR and remains extremely actual for modern Russia, is certain major reason of falling of standard of living of population. On results an analysis drawn conclusion about the necessity of structural alteration of economy, changing of economic model of development of Russia on the whole. Recommendations worked out by an author on overcoming of inequality and poverty, driven to work, will assist perfection of socio-economic regional development of Russia, and also steady social development of regions.
{"title":"Overcoming of Poverty and Inequality as Condition of Steady Social Development of Regions","authors":"Burenina Nataliya Borisovna","doi":"10.35940/ijrte.a2424.059120","DOIUrl":"https://doi.org/10.35940/ijrte.a2424.059120","url":null,"abstract":"For maintenance of economic security steady dynamic development of the system, permanent height of standard of living of population, is needed in a country, regardless of affecting her unfavorable external and internal factors. The basic problem of steady social development of regions is an unsolved to present tense problem of poverty and inequality. The aim of the real article is research of social development of Russia in a dynamics by realization of comparative analysis of quantitative indexes of level of poverty in a country and in her separate regions, level of inequality, exposure of reasons of decline of standard of living of population and development of recommendations on overcoming of poverty and inequality, height of welfare of population. The dialectical method of research of processes and phenomena, analysis of the systems and comparative, method of expert estimations, methods of groupment, tabular, abstractly-logical method, synthesis, is inprocess used. As a result of undertaken a study of social development of Russia it is educed the method of expert estimations a standard of living of population is at low level and is the serious threat of economic and social security of country. 10 is educed the most poor regions of Russia, where the level of poverty makes the fourth of population of these regions practically, and in separate regions he makes a to 40% population from 30%. The problem of social inequality, that arose up after disintegration of the USSR and remains extremely actual for modern Russia, is certain major reason of falling of standard of living of population. On results an analysis drawn conclusion about the necessity of structural alteration of economy, changing of economic model of development of Russia on the whole. Recommendations worked out by an author on overcoming of inequality and poverty, driven to work, will assist perfection of socio-economic regional development of Russia, and also steady social development of regions.","PeriodicalId":220909,"journal":{"name":"International Journal of Recent Technology and Engineering","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133506564","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 : 2020-05-30DOI: 10.35940/ijrte.a2874.059120
in this present world, child security has become greater issue. Not only children even women has to be safeguard from threats. So, we are developing the smart wearable device for low cost which can be affordable for common people. To track the real-time location of the children, this project presents a mobile application where we have used Java, XML for code. This device is designed such that it monitors the child location and alerts the parents by sending SMS or voice message when the child moves out of the boundary. Even though using Wifi and Bluetooth, many systems are there for security purpose. This paper describes the system which comprises of an MPU 6050 gyroscope, Node MCU microcontroller and other sensors, GPS receiver for smart and safe usage. This includes some characteristics of high reliability, efficiency, short response time, high accuracy. The requirements enable to child's safety.
{"title":"Low Cost Intelligent Child Safety Wearable IoT Device for India","authors":"","doi":"10.35940/ijrte.a2874.059120","DOIUrl":"https://doi.org/10.35940/ijrte.a2874.059120","url":null,"abstract":"in this present world, child security has become greater issue. Not only children even women has to be safeguard from threats. So, we are developing the smart wearable device for low cost which can be affordable for common people. To track the real-time location of the children, this project presents a mobile application where we have used Java, XML for code. This device is designed such that it monitors the child location and alerts the parents by sending SMS or voice message when the child moves out of the boundary. Even though using Wifi and Bluetooth, many systems are there for security purpose. This paper describes the system which comprises of an MPU 6050 gyroscope, Node MCU microcontroller and other sensors, GPS receiver for smart and safe usage. This includes some characteristics of high reliability, efficiency, short response time, high accuracy. The requirements enable to child's safety.","PeriodicalId":220909,"journal":{"name":"International Journal of Recent Technology and Engineering","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133445535","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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