Pub Date : 2023-04-17DOI: 10.52783/cienceng.v11i1.177
S. M. M. N. Y. A. C. M. R. P. V. M. Diwate, P. S. Oza, O. N. Wagh
This study investigates the potential of using speech, voice, and sentiment analysis for detecting depression and other mental health disorders among 3,995 employees in the IT sector. The study aims to explore the feasibility of using these technologies to detect mental health concerns earlier, to improve diagnosis and treatment outcomes. Participants in the study provided speech and text samples, which were analyzed using various machine-learning algorithms to identify patterns associated with depression and other mental health disorders. The results suggest that speech, voice, and sentiment analysis have the potential to be effective tools for the early detection of mental health concerns among employees in the IT sector. However, ethical and privacy concerns must be addressed before widespread implementation of these technologies. The study highlights the importance of balancing the potential benefits of these technologies with the need to protect individual privacy and ensure the ethical use of sensitive health data. Overall, the study highlights the promise of speech, voice, and sentiment analysis in the field of mental health and the potential for these technologies to improve the lives of individuals in the IT sector and beyond.
{"title":"Detection of Depression and Anxiety through Speech, Voice, and Sentiment Analysis","authors":"S. M. M. N. Y. A. C. M. R. P. V. M. Diwate, P. S. Oza, O. N. Wagh","doi":"10.52783/cienceng.v11i1.177","DOIUrl":"https://doi.org/10.52783/cienceng.v11i1.177","url":null,"abstract":"This study investigates the potential of using speech, voice, and sentiment analysis for detecting depression and other mental health disorders among 3,995 employees in the IT sector. The study aims to explore the feasibility of using these technologies to detect mental health concerns earlier, to improve diagnosis and treatment outcomes. Participants in the study provided speech and text samples, which were analyzed using various machine-learning algorithms to identify patterns associated with depression and other mental health disorders. The results suggest that speech, voice, and sentiment analysis have the potential to be effective tools for the early detection of mental health concerns among employees in the IT sector. \u0000 However, ethical and privacy concerns must be addressed before widespread implementation of these technologies. The study highlights the importance of balancing the potential benefits of these technologies with the need to protect individual privacy and ensure the ethical use of sensitive health data. Overall, the study highlights the promise of speech, voice, and sentiment analysis in the field of mental health and the potential for these technologies to improve the lives of individuals in the IT sector and beyond.","PeriodicalId":214525,"journal":{"name":"Proceeding International Conference on Science and Engineering","volume":"150 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117059941","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 : 2023-04-17DOI: 10.52783/cienceng.v11i1.180
Badri, Chantanee Chiranthanut
Green space in urban areas, including city parks, is one of the essential components and inseparable elements of the urban structure. Not only have environmental benefits, but city parks are also beneficial for the community in social improvement, as they become places for human interaction and integration. Khon Kaen City, one of the city centers in Thailand, continues to grow from what was originally only a small rural area. Thus the existence of city parks is fundamental. Since sitting is an activity that can open opportunities for social interaction and create the vitality of urban space, the importance of creating seating that can maximize the social interaction (sociopetal) of the community in the city park is needed. However, the seating facilities in Khon Kaen city parks are dominated by linear seating characteristics that can minimize social interaction (sociofugal). This study aims to investigate the relationship between the sociopetality of seating facilities design and communities' social activity. Data on seating facilities design characteristics and communities' social activity collected through behavioral mapping in three city parks in Khon Kaen were analyzed using chi-square and odd ratio. The results showed a significant relationship between the sociopetality of seating facilities design and communities' social activity. Sociopetal seats tend to be used 2.4 times more often for social activity than individual activity. This finding can be a reference for architects, planners, and designers to increase social activity in city parks.
{"title":"Toward Sociable City Park: The Relationship between Sociopetality of Seating Facilities Design and Communities’ Social Activity in Khon Kaen, Thailand","authors":"Badri, Chantanee Chiranthanut","doi":"10.52783/cienceng.v11i1.180","DOIUrl":"https://doi.org/10.52783/cienceng.v11i1.180","url":null,"abstract":"Green space in urban areas, including city parks, is one of the essential components and inseparable elements of the urban structure. Not only have environmental benefits, but city parks are also beneficial for the community in social improvement, as they become places for human interaction and integration. Khon Kaen City, one of the city centers in Thailand, continues to grow from what was originally only a small rural area. Thus the existence of city parks is fundamental. Since sitting is an activity that can open opportunities for social interaction and create the vitality of urban space, the importance of creating seating that can maximize the social interaction (sociopetal) of the community in the city park is needed. However, the seating facilities in Khon Kaen city parks are dominated by linear seating characteristics that can minimize social interaction (sociofugal). This study aims to investigate the relationship between the sociopetality of seating facilities design and communities' social activity. Data on seating facilities design characteristics and communities' social activity collected through behavioral mapping in three city parks in Khon Kaen were analyzed using chi-square and odd ratio. The results showed a significant relationship between the sociopetality of seating facilities design and communities' social activity. Sociopetal seats tend to be used 2.4 times more often for social activity than individual activity. This finding can be a reference for architects, planners, and designers to increase social activity in city parks.","PeriodicalId":214525,"journal":{"name":"Proceeding International Conference on Science and Engineering","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115788997","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 : 2023-04-17DOI: 10.52783/cienceng.v11i1.181
Madiha Khan, Ahtisham Anjum, Muhammad Zaka, Irum M
Mesoporous Cobaltosic oxide nanoparticles are now widely employed in a variety of applications across the world. It is both environmentally and economically favorable. It was well prepared in this study using a cost-effective thermal stirring procedure. The X-ray diffraction method at ambient temperature was used to explain the formation of single spinel structure, purity, and cat-ion distribution of the material, and the lattice constant of mesoporous Cobaltosic oxide nanoparticles was 8.23 Å. SEM and EDX examination were used to investigate phase formation, elemental content, and surface morphology. The average particle size for primitive mesoporous Cobaltosic oxide nanoparticles is 17nm. DRS determined the band gap for mesoporous Cobaltosic oxide nanoparticles to be 1.48 eV for direct band bending and 2.19 eV for indirect band gap. The sensitivities of the sample are greater due to the mesoporous-structures with a large surface area. Mesoporous Cobaltosic oxide nanoparticles have a greater specific surface area (59.63m2 g− 1), resulting in good acetone gas sensing characteristics at the optimal working temperature of 150°C. Furthermore, the sample exhibits high stability and selectivity against acetone gas. The gas-sensing mechanism is determined by comparing the sensitivity of Mesoporous Cobaltosic oxide nanoparticles to surface oxygen and acetone gas adsorption. It is the best among the top other materials, according to the results.
{"title":"Highly Improved Acetone Gas Sensing Performance of Mesoporous Cobaltosic Oxide Nanoparticles and Physical Mechanism","authors":"Madiha Khan, Ahtisham Anjum, Muhammad Zaka, Irum M","doi":"10.52783/cienceng.v11i1.181","DOIUrl":"https://doi.org/10.52783/cienceng.v11i1.181","url":null,"abstract":"Mesoporous Cobaltosic oxide nanoparticles are now widely employed in a variety of applications across the world. It is both environmentally and economically favorable. It was well prepared in this study using a cost-effective thermal stirring procedure. The X-ray diffraction method at ambient temperature was used to explain the formation of single spinel structure, purity, and cat-ion distribution of the material, and the lattice constant of mesoporous Cobaltosic oxide nanoparticles was 8.23 Å. SEM and EDX examination were used to investigate phase formation, elemental content, and surface morphology. The average particle size for primitive mesoporous Cobaltosic oxide nanoparticles is 17nm. DRS determined the band gap for mesoporous Cobaltosic oxide nanoparticles to be 1.48 eV for direct band bending and 2.19 eV for indirect band gap. The sensitivities of the sample are greater due to the mesoporous-structures with a large surface area. Mesoporous Cobaltosic oxide nanoparticles have a greater specific surface area (59.63m2 g− 1), resulting in good acetone gas sensing characteristics at the optimal working temperature of 150°C. Furthermore, the sample exhibits high stability and selectivity against acetone gas. The gas-sensing mechanism is determined by comparing the sensitivity of Mesoporous Cobaltosic oxide nanoparticles to surface oxygen and acetone gas adsorption. It is the best among the top other materials, according to the results.","PeriodicalId":214525,"journal":{"name":"Proceeding International Conference on Science and Engineering","volume":"93 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117345303","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 : 2023-03-20DOI: 10.52783/cienceng.v11i1.104
G. Trajano, C. G. de Oliveira, J. P. Ferreiraa
Fit Niche's goal is to give users instructions and examples for one or more different types of exercise, physical activity, or other fitness-related topics. Depending on a person's current level of fitness, Fit-Niche offers exercises at varying levels of difficulty. Some individuals only need a chair as their only piece of equipment. Included chair-supported activities were intended to raise the calibre of the health and fitness industry. Our approach is meant to aid users in making the most of internet technologies for bettering their health. It considers every aspect of the website and enables us to confirm that the final product satisfies our exacting requirements.Below are the actions we'll take to make sure that happens.
Fit Niche的目标是为用户提供一种或多种不同类型的锻炼、体育活动或其他健身相关主题的指导和示例。根据一个人目前的健康水平，Fit-Niche提供不同难度的锻炼。有些人只需要一把椅子作为他们唯一的装备。包括椅子支持的活动旨在提高健康和健身行业的水平。我们的方法旨在帮助用户充分利用互联网技术来改善他们的健康。它考虑了网站的各个方面，使我们能够确认最终产品满足我们的严格要求。下面是我们将采取的行动，以确保实现这一目标。
{"title":"Monitoring and Assistance of Physical Fitness For All Age Group","authors":"G. Trajano, C. G. de Oliveira, J. P. Ferreiraa","doi":"10.52783/cienceng.v11i1.104","DOIUrl":"https://doi.org/10.52783/cienceng.v11i1.104","url":null,"abstract":"Fit Niche's goal is to give users instructions and examples for one or more different types of exercise, physical activity, or other fitness-related topics. Depending on a person's current level of fitness, Fit-Niche offers exercises at varying levels of difficulty. Some individuals only need a chair as their only piece of equipment. Included chair-supported activities were intended to raise the calibre of the health and fitness industry. Our approach is meant to aid users in making the most of internet technologies for bettering their health. It considers every aspect of the website and enables us to confirm that the final product satisfies our exacting requirements.Below are the actions we'll take to make sure that happens.","PeriodicalId":214525,"journal":{"name":"Proceeding International Conference on Science and Engineering","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114343369","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 : 2023-03-20DOI: 10.52783/cienceng.v11i1.103
Hemlata Sinha, Sumit Roy
Attendance management can be a significant burden on teachers if done manually. To solve this problem, It is proposed that we use an intelligent and automatic presence management system. Using this framework, the problem of proxies and tagged students present while they are not physically present can easily be resolved. This system marks the attendance using live video stream. The frames are extracted from video using Open CV. The main implementation stages used in this type of system are detection and recognition of the detected face, for which dlib is used. After this, the connection of the acknowledged faces should be conceivable by comparing with the database containing the faces of the students. It will be an effective technique to manage student attendance..
{"title":"Human Face Detection and Recognition from the Video Using Deep Learning","authors":"Hemlata Sinha, Sumit Roy","doi":"10.52783/cienceng.v11i1.103","DOIUrl":"https://doi.org/10.52783/cienceng.v11i1.103","url":null,"abstract":" Attendance management can be a significant burden on teachers if done manually. To solve this problem, It is proposed that we use an intelligent and automatic presence management system. Using this framework, the problem of proxies and tagged students present while they are not physically present can easily be resolved. This system marks the attendance using live video stream. The frames are extracted from video using Open CV. The main implementation stages used in this type of system are detection and recognition of the detected face, for which dlib is used. After this, the connection of the acknowledged faces should be conceivable by comparing with the database containing the faces of the students. It will be an effective technique to manage student attendance..","PeriodicalId":214525,"journal":{"name":"Proceeding International Conference on Science and Engineering","volume":"97 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121443450","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 : 2023-03-09DOI: 10.52783/cienceng.v11i1.89
Vishwas Machindra Sonawane
In the past few years, facial expression recognition has been a popular topic in the field of computer vision. The purpose of this research paper is to analyze the use of Convolutional Neural Networks (CNNs) with Keras for facial expression recognition. This paper will discuss the main architecture of CNNs and the advantages of using Keras for facial expression recognition. It will also discuss the challenges associated with using CNNs for facial expression recognition and the potential solutions. Additionally, a detailed description of the datasets used for the research and the evaluation metrics used to measure the performance of the model will be provided. Furthermore, the paper will provide a comprehensive discussion of the results obtained from the experiments and its implications.
{"title":"Convolutional Neural Networks using KERAS for Face Detection and Emotion Recognition.","authors":"Vishwas Machindra Sonawane","doi":"10.52783/cienceng.v11i1.89","DOIUrl":"https://doi.org/10.52783/cienceng.v11i1.89","url":null,"abstract":"In the past few years, facial expression recognition has been a popular topic in the field of computer vision. The purpose of this research paper is to analyze the use of Convolutional Neural Networks (CNNs) with Keras for facial expression recognition. This paper will discuss the main architecture of CNNs and the advantages of using Keras for facial expression recognition. It will also discuss the challenges associated with using CNNs for facial expression recognition and the potential solutions. Additionally, a detailed description of the datasets used for the research and the evaluation metrics used to measure the performance of the model will be provided. Furthermore, the paper will provide a comprehensive discussion of the results obtained from the experiments and its implications.","PeriodicalId":214525,"journal":{"name":"Proceeding International Conference on Science and Engineering","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132954597","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}
A special set of capabilities made available by cloud computing make it a very effective and scalable hosting solution. To host their software and applications in the Cloud, all commercial enterprises and academic institutions make use of one hosting platform or another. Additionally, a lot of these organisations or companies have excess or underused computing resources, even though they are fully functional but lack the necessary capacity to function as a standard workstation, leading to the creation of e-waste. The method for combining these extra computing resources into a single datacenter Private Cloud that can execute applications, containers, and virtual machines is presented in this paper. Its effectiveness for various types of hypervisors is then tested.
{"title":"Optimizing Surplus Resources To Private Cloud","authors":"Harsh Oswal, Shashikant V. Athawale, Ediga Lalit Kumar, Aishwarya Pawar, Prasad Mache","doi":"10.52783/cienceng.v11i1.90","DOIUrl":"https://doi.org/10.52783/cienceng.v11i1.90","url":null,"abstract":"A special set of capabilities made available by cloud computing make it a very effective and scalable hosting solution. To host their software and applications in the Cloud, all commercial enterprises and academic institutions make use of one hosting platform or another. Additionally, a lot of these organisations or companies have excess or underused computing resources, even though they are fully functional but lack the necessary capacity to function as a standard workstation, leading to the creation of e-waste. The method for combining these extra computing resources into a single datacenter Private Cloud that can execute applications, containers, and virtual machines is presented in this paper. Its effectiveness for various types of hypervisors is then tested.","PeriodicalId":214525,"journal":{"name":"Proceeding International Conference on Science and Engineering","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129104631","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 : 2023-03-08DOI: 10.52783/cienceng.v11i1.88
Dr. S. Karthikeyan, Dr. A. Kingsly Jabakumar, B. Anuradha
Skin problems not only injure physical health but also induce psychological problems, especially for patients whose faces have been damaged or even disfigured. Using smart devices, most of the people are able to obtain convenient clinical images of their face skin condition. On the other hand, the convolutional neural networks (CNNs) have achieved near or even better performance than human beings in the imaging field. Therefore, this paper studied different CNN algorithms for face skin disease classification based on the clinical images. First, from Xiangya–Derm, which is, to the best of our knowledge, China’s largest clinical image dataset of skin diseases, we established a dataset that contains 2656 face images belonging to six common skin diseases [seborrheic keratosis (SK), actinic keratosis (AK), rosacea (ROS), lupus erythematosus (LE), basal cell carcinoma (BCC), and squamous cell carcinoma (SCC)]. We performed studies using five mainstream network algorithms to classify these diseases in the dataset and compared the results. Then, we performed studies using an independent dataset of the same disease types, but from other body parts, to perform transfer learning on our models. Comparing the performances, the models that used transfer learning achieved a higher average precision and recall for almost all structures. In the test dataset, which included 388 facial images, the best model achieved 92.9%, 89.2%, and 84.3% recalls for the LE, BCC, and SK, respectively, and the mean recall and precision reached 77.0% and 70.8%
{"title":"Studies on Different CNN Algorithms for Face Skin Disease Classification Based on Clinical Image","authors":"Dr. S. Karthikeyan, Dr. A. Kingsly Jabakumar, B. Anuradha","doi":"10.52783/cienceng.v11i1.88","DOIUrl":"https://doi.org/10.52783/cienceng.v11i1.88","url":null,"abstract":"Skin problems not only injure physical health but also induce psychological problems, especially for patients whose faces have been damaged or even disfigured. Using smart devices, most of the people are able to obtain convenient clinical images of their face skin condition. On the other hand, the convolutional neural networks (CNNs) have achieved near or even better performance than human beings in the imaging field. Therefore, this paper studied different CNN algorithms for face skin disease classification based on the clinical images. First, from Xiangya–Derm, which is, to the best of our knowledge, China’s largest clinical image dataset of skin diseases, we established a dataset that contains 2656 face images belonging to six common skin diseases [seborrheic keratosis (SK), actinic keratosis (AK), rosacea (ROS), lupus erythematosus (LE), basal cell carcinoma (BCC), and squamous cell carcinoma (SCC)]. We performed studies using five mainstream network algorithms to classify these diseases in the dataset and compared the results. Then, we performed studies using an independent dataset of the same disease types, but from other body parts, to perform transfer learning on our models. Comparing the performances, the models that used transfer learning achieved a higher average precision and recall for almost all structures. In the test dataset, which included 388 facial images, the best model achieved 92.9%, 89.2%, and 84.3% recalls for the LE, BCC, and SK, respectively, and the mean recall and precision reached 77.0% and 70.8%","PeriodicalId":214525,"journal":{"name":"Proceeding International Conference on Science and Engineering","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116097380","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 : 2023-03-08DOI: 10.52783/cienceng.v11i1.91
Kundan Khandare, Shashikant V Athawale
In the tourism sector, virtual reality has been used to develop a one-of-a-kind, immersive experiences that give visitors a sense of being there in person. The user is immersed in a three-dimensional experience thanks to virtual reality. Users engage with 3D worlds instead of just seeing a screen in front of them. Virtual reality can be utilized in the travel business to capture tourist places in a distinctive and immersive way. These virtual travel experiences try to replicate the genuine destination as closely as they can. The use of virtual reality (VR) in tourism is currently widespread. People enjoy travelling and learning about new locations, and thanks to virtual reality (VR), they can now learn about and experience a place without actually being there. VR is a fantastic tool with many dimensions and applications. This paper focuses on the implementation of Virtual Reality in the real world through the use of various devices , sensors.
{"title":"Developing Virtual Reality Apps to Enhance Tourism","authors":"Kundan Khandare, Shashikant V Athawale","doi":"10.52783/cienceng.v11i1.91","DOIUrl":"https://doi.org/10.52783/cienceng.v11i1.91","url":null,"abstract":"In the tourism sector, virtual reality has been used to develop a one-of-a-kind, immersive experiences that give visitors a sense of being there in person. The user is immersed in a three-dimensional experience thanks to virtual reality. Users engage with 3D worlds instead of just seeing a screen in front of them. Virtual reality can be utilized in the travel business to capture tourist places in a distinctive and immersive way. These virtual travel experiences try to replicate the genuine destination as closely as they can. The use of virtual reality (VR) in tourism is currently widespread. People enjoy travelling and learning about new locations, and thanks to virtual reality (VR), they can now learn about and experience a place without actually being there. VR is a fantastic tool with many dimensions and applications. This paper focuses on the implementation of Virtual Reality in the real world through the use of various devices , sensors.","PeriodicalId":214525,"journal":{"name":"Proceeding International Conference on Science and Engineering","volume":"162 11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125947992","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 : 2023-03-06DOI: 10.52783/cienceng.v11i1.84
S. Balraj, Dr.R. Sivakumar
Migration is an integral part of human history. It is world -wide phenomenon that affects the place of origin and destination of migrants. Migration has been understood as temporary or permanent shifting of place of labour from one region to another region, from one country to another country in a particular period of time. Migration has a number of socio-economic, cultural, political and demographic impacts on the lives of the migrant workers. There are many types of migration prevailing in India and elsewhere in the recent past, the inter-state migration has been most prevalent in the most of the Indian states. It is worthwhile to note here, the Inter-state migration poses a variety of challenges to state, for instance the state and centre government unable to keep record of data on the movement of migrant labour from one state to another state(s) or government at central and state level facing difficulties to assess their socio-economic abilities. This paper will explore the reasons for such migration, identify the socio-economic status of inter-state migrant workers and trying to frame suitable policy to enhance the livelihood of the migrant workers.
{"title":"Socio-Economical Status of Inter-State Migrant Workers in Tamil Nadu","authors":"S. Balraj, Dr.R. Sivakumar","doi":"10.52783/cienceng.v11i1.84","DOIUrl":"https://doi.org/10.52783/cienceng.v11i1.84","url":null,"abstract":"Migration is an integral part of human history. It is world -wide phenomenon that affects the place of origin and destination of migrants. Migration has been understood as temporary or permanent shifting of place of labour from one region to another region, from one country to another country in a particular period of time. Migration has a number of socio-economic, cultural, political and demographic impacts on the lives of the migrant workers. There are many types of migration prevailing in India and elsewhere in the recent past, the inter-state migration has been most prevalent in the most of the Indian states. It is worthwhile to note here, the Inter-state migration poses a variety of challenges to state, for instance the state and centre government unable to keep record of data on the movement of migrant labour from one state to another state(s) or government at central and state level facing difficulties to assess their socio-economic abilities. This paper will explore the reasons for such migration, identify the socio-economic status of inter-state migrant workers and trying to frame suitable policy to enhance the livelihood of the migrant workers.","PeriodicalId":214525,"journal":{"name":"Proceeding International Conference on Science and Engineering","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122792355","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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