Pub Date : 2023-02-18DOI: 10.52783/cienceng.v11i1.135
J. Shanthi, S.Vidhyalakshmi, M. A. Gopalan
This paper deals with the problem of finding non-zero distinct integer solutions to the non-homogeneous ternary sextic equation given by . A few interesting relations between the solutions and special numbers are exhibited.
给出的非齐次三元六次方方程的非零不同整数解的求问题。给出了解与特殊数之间的一些有趣的关系。
{"title":"On Finding Integer Solutions to Sextic Equation with Three Unknowns","authors":"J. Shanthi, S.Vidhyalakshmi, M. A. Gopalan","doi":"10.52783/cienceng.v11i1.135","DOIUrl":"https://doi.org/10.52783/cienceng.v11i1.135","url":null,"abstract":"This paper deals with the problem of finding non-zero distinct integer solutions to the non-homogeneous ternary sextic equation given by . A few interesting relations between the solutions and special numbers are exhibited.","PeriodicalId":214525,"journal":{"name":"Proceeding International Conference on Science and Engineering","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115304036","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 : 2023-02-18DOI: 10.52783/cienceng.v11i1.189
Somnath B. Thigale et al.
Nowadays Heart disease is one of the most common and serious disease as it is the one of major cause of death globally. Heart disease prediction is very critical and challenging task. Machine Learning (ML) an important technique in the field of Health care applications. Such systems assist (Not replaces) doctors in the interpretation of diseases. Automated Heart Disease Diagnosis System using Machine Learning Algorithm is amongst popular systems which have attracted the attention of numerous researchers, making it a thrust area for further investigations. In last decade, extensive investigations have been contributed to design Automated Heart Disease Diagnosis System using Machine Learning Algorithm. Designing a heart disease diagnosis system with high accuracy can help to save lives. A comprehensive survey of the developments and current trends in area of Automated Heart Disease Diagnosis System using Machine Learning algorithms is presented in this paper. The survey details the overall advancements in diagnosis or prediction of heart disease and an effective review of pre-processing of data, feature extraction algorithms and the classifiers used in prediction system. Few unaddressed issues and challenges that have comparatively received meagre attention are discussed highlighting the future prospects of Heart Disease Diagnosis and providing pointers to the further research.
{"title":"Development of Automated Heart Disease Diagnosis System Using Machine Learning Algorithm: Current Status And Future Prospects","authors":"Somnath B. Thigale et al.","doi":"10.52783/cienceng.v11i1.189","DOIUrl":"https://doi.org/10.52783/cienceng.v11i1.189","url":null,"abstract":"Nowadays Heart disease is one of the most common and serious disease as it is the one of major cause of death globally. Heart disease prediction is very critical and challenging task. Machine Learning (ML) an important technique in the field of Health care applications. Such systems assist (Not replaces) doctors in the interpretation of diseases. Automated Heart Disease Diagnosis System using Machine Learning Algorithm is amongst popular systems which have attracted the attention of numerous researchers, making it a thrust area for further investigations. In last decade, extensive investigations have been contributed to design Automated Heart Disease Diagnosis System using Machine Learning Algorithm. Designing a heart disease diagnosis system with high accuracy can help to save lives. A comprehensive survey of the developments and current trends in area of Automated Heart Disease Diagnosis System using Machine Learning algorithms is presented in this paper. The survey details the overall advancements in diagnosis or prediction of heart disease and an effective review of pre-processing of data, feature extraction algorithms and the classifiers used in prediction system. Few unaddressed issues and challenges that have comparatively received meagre attention are discussed highlighting the future prospects of Heart Disease Diagnosis and providing pointers to the further research.","PeriodicalId":214525,"journal":{"name":"Proceeding International Conference on Science and Engineering","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114590613","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 : 2023-02-18DOI: 10.52783/cienceng.v11i1.245
Anagha Soman, Sunita Upasani
A class comprises of students of different grasping levels and capabilities and hence it becomes a really difficult task for a teacher to teach all of them with the same pace and stipulated time period. The students in a class can be categorized on the basis of their academic excellence and then additional efforts can be taken accordingly for a group of students. Also, extra assignment can be given to fast learners. Broadly, this can be divided into three steps i.e. identifying the factors that directly have an impact on student’s performance, Individual analysis of students as per the institutional framework ( Mentor-mentee, class teacher, Head of department, Grievance cell, Principal), Using these first two steps, how to enhance the student’s performance in all aspects. This paper is a small effort to initiate the process of identifying, analyzing and providing solution for all round development of slow learners and fast learners.
{"title":"SOP For Identification of Weak Students and Remedial Action to be Taken.","authors":"Anagha Soman, Sunita Upasani","doi":"10.52783/cienceng.v11i1.245","DOIUrl":"https://doi.org/10.52783/cienceng.v11i1.245","url":null,"abstract":"A class comprises of students of different grasping levels and capabilities and hence it becomes a really difficult task for a teacher to teach all of them with the same pace and stipulated time period. The students in a class can be categorized on the basis of their academic excellence and then additional efforts can be taken accordingly for a group of students. Also, extra assignment can be given to fast learners. Broadly, this can be divided into three steps i.e. identifying the factors that directly have an impact on student’s performance, Individual analysis of students as per the institutional framework ( Mentor-mentee, class teacher, Head of department, Grievance cell, Principal), Using these first two steps, how to enhance the student’s performance in all aspects. This paper is a small effort to initiate the process of identifying, analyzing and providing solution for all round development of slow learners and fast learners.","PeriodicalId":214525,"journal":{"name":"Proceeding International Conference on Science and Engineering","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123962561","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 : 2023-02-18DOI: 10.52783/cienceng.v11i1.112
S. Beulah Mabel
Women Entrepreneurs are the women who initiate, organize and operate the business. They are the ones who own and manage the business and to earn more profits with their creativity and new ideas to run a business. In the initial stage, they start their business with small scale and expand to large scale business. Women undertake all the risk and face many challenges in their business. Their strong feeling to do something is an inbuilt quality who is capable of providing values in both family and social life. This Women Entrepreneurship can make a strong contribution to the economic well-being of the family, communities, women's empowerment and poverty reduction. Women Entrepreneurs engaged in some of the business-like AgarBatti making (Incense stick),Papad Marketing, Embroidery, Handicraft, catering services, Running restaurant, snack bars, Small retail shops, Beauty Parlour, Pickle Manufacturing etc.
{"title":"Women Artisan Facing Obstacles","authors":"S. Beulah Mabel","doi":"10.52783/cienceng.v11i1.112","DOIUrl":"https://doi.org/10.52783/cienceng.v11i1.112","url":null,"abstract":"Women Entrepreneurs are the women who initiate, organize and operate the business. They are the ones who own and manage the business and to earn more profits with their creativity and new ideas to run a business. In the initial stage, they start their business with small scale and expand to large scale business. Women undertake all the risk and face many challenges in their business. Their strong feeling to do something is an inbuilt quality who is capable of providing values in both family and social life. This Women Entrepreneurship can make a strong contribution to the economic well-being of the family, communities, women's empowerment and poverty reduction. Women Entrepreneurs engaged in some of the business-like AgarBatti making (Incense stick),Papad Marketing, Embroidery, Handicraft, catering services, Running restaurant, snack bars, Small retail shops, Beauty Parlour, Pickle Manufacturing etc.","PeriodicalId":214525,"journal":{"name":"Proceeding International Conference on Science and Engineering","volume":"112 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122357149","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 : 2023-02-18DOI: 10.52783/cienceng.v11i1.316
Md. Abubakar, Mohammed Salman Siddiqui, Md. Owaisoddin Sapna Gangrade
Every year lot of children are passing away due to hyperthermia and coronary heart strokes. This is happening because the children are left inside the car unknowingly. Many incidents of such cases are increasing rapidly in the past few decades. These incidents are recognized as the automobile injuries and for this, a research has been done to know more about the fat situations of the surroundings of such instances. By the research it is known that there are two elements which made the kids more liable to hyperthermia when compared to adults. A systematic rationalization about how this can be appeared that the children are left unknowingly by their parents in the vehicle can be identified with working memory, it builds up the pressure obstruction and impends to a particular interest. In past two years, 16 children of these cases in Italy and 53 children of these cases in US of infant hyperthermia because of abandonment in vehicles were perceived. These discoveries propose that instructive bundles and writing for guardians concerning auto insurance should incorporate such data about these threats of the heart stress, in fact such actions are unknowingly happened and not intentionally done. In triumph over these issues a prototype has been proposed by means of the child safety alert system.
{"title":"Implementation of Child Safety Alert System in Automobiles","authors":"Md. Abubakar, Mohammed Salman Siddiqui, Md. Owaisoddin Sapna Gangrade","doi":"10.52783/cienceng.v11i1.316","DOIUrl":"https://doi.org/10.52783/cienceng.v11i1.316","url":null,"abstract":"Every year lot of children are passing away due to hyperthermia and coronary heart strokes. This is happening because the children are left inside the car unknowingly. Many incidents of such cases are increasing rapidly in the past few decades. These incidents are recognized as the automobile injuries and for this, a research has been done to know more about the fat situations of the surroundings of such instances. By the research it is known that there are two elements which made the kids more liable to hyperthermia when compared to adults. A systematic rationalization about how this can be appeared that the children are left unknowingly by their parents in the vehicle can be identified with working memory, it builds up the pressure obstruction and impends to a particular interest. In past two years, 16 children of these cases in Italy and 53 children of these cases in US of infant hyperthermia because of abandonment in vehicles were perceived. These discoveries propose that instructive bundles and writing for guardians concerning auto insurance should incorporate such data about these threats of the heart stress, in fact such actions are unknowingly happened and not intentionally done. In triumph over these issues a prototype has been proposed by means of the child safety alert system.","PeriodicalId":214525,"journal":{"name":"Proceeding International Conference on Science and Engineering","volume":"31 16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129270919","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 : 2023-02-18DOI: 10.52783/cienceng.v11i1.111
Sunder Arumugam
School Dropout is a serious social evil which when unattended will have a long run impact in all the sphere of the society. This particular issue should be given utmost importance by the teachers in schools and parents and elders in families. The stakeholders should play a pro-active role in dealing with this problem. The major reason of dropout is widely hinted at the economic backwardness of the school children. Apart from this cause there are many other causes ranging from issues in the family, at home and even in schools, liking and disliking of schools and teachers also contribute to the cause of dropout. This issue of dropout has become more serious especially after the disaster of Tsunami in 2004. The issue of dropout has to be viewed in a different angle in fishing / coastal villages. The fishing occupation is no doubt a risky job but it has been lucrative. High lucrative in this profession is positively correlated with the investment in mechanised boats and fish nets. The scenario of this dropout problem took an ugly turn post Tsunami. Post Tsunami, relief, rehabilitation and reconstruction was well undertaken by the Government in a very large scale and equally by the Third Sector (NGOs). The relief was also in the form of Mechanised & Fibre Boat (FRB) distributed by many NGO. Prior to Tsunami the number of FRB was very less in number, so the labour force required was also minimal. The number of FRB increased post tsunami which resulted in labour shortage. This also paved way for the entry of children in the profession of fishing saying goodbye to studies. Was this the starting point of School Dropout? At the backdrop of this scenario, the present research has been undertaken. The present research has taken care to highlight the socio-economic profile of the dropouts in the coastal/fishing villages of Karaikal District, Union Territory of Puducherry. The results support the following statement that “Disaster has a direct bearing on the Education of Children”.
{"title":"School Dropout an Evil, who is Socially Responsible? A Study","authors":"Sunder Arumugam","doi":"10.52783/cienceng.v11i1.111","DOIUrl":"https://doi.org/10.52783/cienceng.v11i1.111","url":null,"abstract":"School Dropout is a serious social evil which when unattended will have a long run impact in all the sphere of the society. This particular issue should be given utmost importance by the teachers in schools and parents and elders in families. The stakeholders should play a pro-active role in dealing with this problem. \u0000The major reason of dropout is widely hinted at the economic backwardness of the school children. Apart from this cause there are many other causes ranging from issues in the family, at home and even in schools, liking and disliking of schools and teachers also contribute to the cause of dropout. This issue of dropout has become more serious especially after the disaster of Tsunami in 2004. \u0000The issue of dropout has to be viewed in a different angle in fishing / coastal villages. The fishing occupation is no doubt a risky job but it has been lucrative. High lucrative in this profession is positively correlated with the investment in mechanised boats and fish nets. The scenario of this dropout problem took an ugly turn post Tsunami. Post Tsunami, relief, rehabilitation and reconstruction was well undertaken by the Government in a very large scale and equally by the Third Sector (NGOs). The relief was also in the form of Mechanised & Fibre Boat (FRB) distributed by many NGO. Prior to Tsunami the number of FRB was very less in number, so the labour force required was also minimal. The number of FRB increased post tsunami which resulted in labour shortage. This also paved way for the entry of children in the profession of fishing saying goodbye to studies. Was this the starting point of School Dropout? At the backdrop of this scenario, the present research has been undertaken. The present research has taken care to highlight the socio-economic profile of the dropouts in the coastal/fishing villages of Karaikal District, Union Territory of Puducherry. The results support the following statement that “Disaster has a direct bearing on the Education of Children”.","PeriodicalId":214525,"journal":{"name":"Proceeding International Conference on Science and Engineering","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131198749","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 : 2023-02-18DOI: 10.52783/cienceng.v11i1.324
D. L. Asha Rani, P. Anishiya, T. Pramananda Peruma
The most devastating pandemic to ever infiltrate humans is COVID-19. An automatic detection system is an instantaneous diagnosis option to prevent COVID-19 transmission. The objective of this research work is to propose a novel CNN (Convolutional Neural Network) based Covid-19 detection system to classify the radiological (chest X-ray) images into binary classes (Covid-19 and Non-Covid-19) and three (multi) different classes ( Normal Lungs, Lungs infected by Covid-19 and Lungs infected by Pneumonia). The efficiency of the proposed CNN(CoronaNet) model is compared with six existing pre-trained models (AlexNet, GoogleNet, VGG-16, SqueezeNet, Inception-V3 and ResNet-50) for identifying Covid-19 from radiological images. The computer experimental results demonstrate that the proposed CoronaNet model has achieved an overall accuracy of 96.4% for binary-class classification (Covid-19 and Non-Covid-19) and 94.4 % for multi- class classification (Normal, Covid-19 and Pneumonia). The proposed technique could be a useful tool for radiologists to diagnose and treat Covid-19 patients promptly.
{"title":"Automatic Detection of Covid-19 from Chest X-ray Images using Corona Net","authors":"D. L. Asha Rani, P. Anishiya, T. Pramananda Peruma","doi":"10.52783/cienceng.v11i1.324","DOIUrl":"https://doi.org/10.52783/cienceng.v11i1.324","url":null,"abstract":"The most devastating pandemic to ever infiltrate humans is COVID-19. An automatic detection system is an instantaneous diagnosis option to prevent COVID-19 transmission. The objective of this research work is to propose a novel CNN (Convolutional Neural Network) based Covid-19 detection system to classify the radiological (chest X-ray) images into binary classes (Covid-19 and Non-Covid-19) and three (multi) different classes ( Normal Lungs, Lungs infected by Covid-19 and Lungs infected by Pneumonia). The efficiency of the proposed CNN(CoronaNet) model is compared with six existing pre-trained models (AlexNet, GoogleNet, VGG-16, SqueezeNet, Inception-V3 and ResNet-50) for identifying Covid-19 from radiological images. The computer experimental results demonstrate that the proposed CoronaNet model has achieved an overall accuracy of 96.4% for binary-class classification (Covid-19 and Non-Covid-19) and 94.4 % for multi- class classification (Normal, Covid-19 and Pneumonia). The proposed technique could be a useful tool for radiologists to diagnose and treat Covid-19 patients promptly.","PeriodicalId":214525,"journal":{"name":"Proceeding International Conference on Science and Engineering","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129854534","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 : 2023-02-18DOI: 10.52783/cienceng.v11i1.354
Nausheen Fathima, Mohd. Abdul Bari, Sanjay
Wireless infrastructure-less networks provide network resources independent of location. These networks are mobile, resource heterogeneous, peer-to-peer, self-forming, and adaptable. Health management, military, and disaster aid use such networks for reliable communication. These networks use routing to connect source and destination nodes and forward data packets. Network nodes' buffer sizes hinder efficient routing. We present a buffer-aware route-finding system that optimises nodes' packet processing based on their residual buffer size using the knapsack algorithm. Our buffer overflow-prevention method improves network performance. Using the NS-2 simulator, the suggested mechanism reduces packet loss, improving network performance. Our work proposes an effective routing protocol for wireless infrastructure-less networks that takes into account nodes' restricted buffer sizes. The proposed system could be used where efficient and reliable communication is needed.
{"title":"Infrastructure-Less Wireless Networks Employ Reactive Routing with Knapsack-Based Buffer Management","authors":"Nausheen Fathima, Mohd. Abdul Bari, Sanjay","doi":"10.52783/cienceng.v11i1.354","DOIUrl":"https://doi.org/10.52783/cienceng.v11i1.354","url":null,"abstract":"Wireless infrastructure-less networks provide network resources independent of location. These networks are mobile, resource heterogeneous, peer-to-peer, self-forming, and adaptable. Health management, military, and disaster aid use such networks for reliable communication. These networks use routing to connect source and destination nodes and forward data packets. Network nodes' buffer sizes hinder efficient routing. We present a buffer-aware route-finding system that optimises nodes' packet processing based on their residual buffer size using the knapsack algorithm. Our buffer overflow-prevention method improves network performance. Using the NS-2 simulator, the suggested mechanism reduces packet loss, improving network performance. Our work proposes an effective routing protocol for wireless infrastructure-less networks that takes into account nodes' restricted buffer sizes. The proposed system could be used where efficient and reliable communication is needed.","PeriodicalId":214525,"journal":{"name":"Proceeding International Conference on Science and Engineering","volume":"71 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128009463","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 : 2023-02-18DOI: 10.52783/cienceng.v11i1.398
Shashank Shekhar, Ashish Ransom
It is said that a camera cannot lie. However, in this digital era, it has become abundantly clear that it doesn’t necessarily depict the truth. Increasingly sophisticated machine learning and artificial intelligence with inexpensive, easy to use and easily accessible video editing software are allowing more and more people to indulge in generating so-called deep fake videos, photos and audios.. These clips, which feature fabricated, altered and fake footage of people and things, are a growing concern in human society. Although political deep fakes are a new concern, pornographic deep fakes have been a problem for some time. These often purported to show a famous actress or model or any other woman, involved in a sex act but actually show the subject’s face superimposed onto another woman’s body who is actually involved in that act. This feature is called face-swapping and is known as the simplest method of creating a deep fake. There are numerous software applications that can be used for face-swapping, and the technology used is very advanced and is accessible. Deep fakes raise questions of personal reputation and control over one’s image on the one hand and freedom of expression on the other. This will have a significant impact on user’s privacy and security. Increasingly, governments around the world are reacting to these privacy evading applications for e.g., India banning TikTok and the USA investigating the privacy issues of TikTok and in the process of enacting laws to reduce the impact of deep fakes in the society. The study in this paper includes the ethical and legal implications surrounding the deep fake technology which also includes the study of several international legislations and analysing the position of India in tackling the crime of deepfake.
{"title":"Ethical & Legal Implications of Deep Fake Technology: A Global Overview","authors":"Shashank Shekhar, Ashish Ransom","doi":"10.52783/cienceng.v11i1.398","DOIUrl":"https://doi.org/10.52783/cienceng.v11i1.398","url":null,"abstract":"It is said that a camera cannot lie. However, in this digital era, it has become abundantly clear that it doesn’t necessarily depict the truth. Increasingly sophisticated machine learning and artificial intelligence with inexpensive, easy to use and easily accessible video editing software are allowing more and more people to indulge in generating so-called deep fake videos, photos and audios.. These clips, which feature fabricated, altered and fake footage of people and things, are a growing concern in human society. Although political deep fakes are a new concern, pornographic deep fakes have been a problem for some time. These often purported to show a famous actress or model or any other woman, involved in a sex act but actually show the subject’s face superimposed onto another woman’s body who is actually involved in that act. This feature is called face-swapping and is known as the simplest method of creating a deep fake. There are numerous software applications that can be used for face-swapping, and the technology used is very advanced and is accessible. Deep fakes raise questions of personal reputation and control over one’s image on the one hand and freedom of expression on the other. This will have a significant impact on user’s privacy and security. Increasingly, governments around the world are reacting to these privacy evading applications for e.g., India banning TikTok and the USA investigating the privacy issues of TikTok and in the process of enacting laws to reduce the impact of deep fakes in the society. The study in this paper includes the ethical and legal implications surrounding the deep fake technology which also includes the study of several international legislations and analysing the position of India in tackling the crime of deepfake.","PeriodicalId":214525,"journal":{"name":"Proceeding International Conference on Science and Engineering","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128877770","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 : 2023-02-18DOI: 10.52783/cienceng.v11i1.184
Archana Ainapure
The personal care and also the global beauty products in the market are increasing and expected to reach “USD 937.1 billion by 2030” and the organic and natural substitutes are establishing and attract the consumer and also make the awareness of using chemicals on the skin. In the coming years, the use of organic products will increase incredibly to the demands of the consumers. Beauty products are available in a variety that attracts people and influences them to purchase the products. It has been noticed that in the markets there are different types of beauty products everywhere and many new products are coming continuously. For several years it has been that various companies focused on this market and enhanced the options by launching new products. Multiple companies investing in beauty products and making new products for skin and body care that are in high demand.
{"title":"Beauty and Personal Care Products Market Size, Share and Trend Analysis Report by Type (Conventional, Organic), by Product (Skin Care, Hair Care), by Distribution Channel, by Region and Segment Forecasts, 2022-2030","authors":"Archana Ainapure","doi":"10.52783/cienceng.v11i1.184","DOIUrl":"https://doi.org/10.52783/cienceng.v11i1.184","url":null,"abstract":"The personal care and also the global beauty products in the market are increasing and expected to reach “USD 937.1 billion by 2030” and the organic and natural substitutes are establishing and attract the consumer and also make the awareness of using chemicals on the skin. In the coming years, the use of organic products will increase incredibly to the demands of the consumers. Beauty products are available in a variety that attracts people and influences them to purchase the products. It has been noticed that in the markets there are different types of beauty products everywhere and many new products are coming continuously. For several years it has been that various companies focused on this market and enhanced the options by launching new products. Multiple companies investing in beauty products and making new products for skin and body care that are in high demand. ","PeriodicalId":214525,"journal":{"name":"Proceeding International Conference on Science and Engineering","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126252587","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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