Pub Date : 2023-01-01DOI: 10.52783/tojqi.v11i3.10002
K. Singh
: The combination of graphical user interfaces and video games has grown in importance as a means of providing truly immersive experiences for consumers. In order to provide consumers with a more interesting and participatory experience, developers have begun integrating hardware and software components to create immersive technologies and solutions. The article gives a brief history of interactive graphics and gaming, as well as a rundown of the necessary hardware and software for making immersive experiences. The benefits and drawbacks of these technology and tools are also covered, including issues like accessibility, ethics, and privacy. Finally, the ramifications of these technologies for culture and society, as well as the future of interactive graphics and games for immersive experiences, are discussed. We can develop immersive experiences that have a positive effect on society and culture if we challenge the status quo and find solutions to the problems that occur along the road.
{"title":"Interactive Graphics and Gaming for Immersive Experiences","authors":"K. Singh","doi":"10.52783/tojqi.v11i3.10002","DOIUrl":"https://doi.org/10.52783/tojqi.v11i3.10002","url":null,"abstract":": The combination of graphical user interfaces and video games has grown in importance as a means of providing truly immersive experiences for consumers. In order to provide consumers with a more interesting and participatory experience, developers have begun integrating hardware and software components to create immersive technologies and solutions. The article gives a brief history of interactive graphics and gaming, as well as a rundown of the necessary hardware and software for making immersive experiences. The benefits and drawbacks of these technology and tools are also covered, including issues like accessibility, ethics, and privacy. Finally, the ramifications of these technologies for culture and society, as well as the future of interactive graphics and games for immersive experiences, are discussed. We can develop immersive experiences that have a positive effect on society and culture if we challenge the status quo and find solutions to the problems that occur along the road.","PeriodicalId":36407,"journal":{"name":"Turkish Online Journal of Qualitative Inquiry","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71003597","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 : 2023-01-01DOI: 10.52783/tojqi.v11i4.10019
Luxmi Sapra
. Building effective and scalable systems that can handle enormous volumes of data processing and provide low-latency processing and real-time analytics may be accomplished by combining cloud and edge computing. Edge and cloud computing are both used in hybrid cloud computing. We investigated the various ways that cloud and edge computing may be coupled in this research report. The names "cloud," "edge," "cloud and edge," "edge as a service," "mobile edge computing," and "fog computing" were all used to characterise these techniques. When choosing a strategy, organisations should carefully consider their needs because each strategy has benefits and drawbacks of its own. We also reviewed a range of academic articles that discuss the advantages and disadvantages of using a hybrid cloud/edge computing architecture. The papers show how cloud and edge computing may be applied to support special use cases in a variety of industries, including manufacturing, transportation, and healthcare. The issues that need to be resolved include those related to connectivity, security, complexity, cost, and scalability, to name just a few. If organisations wish to guarantee the success of their cloud and edge computing solutions, they must carefully tackle the aforementioned concerns. Looking ahead, we can see that the field of cloud and edge computing has a lot of potential for advancement and innovation. This can only happen with the development of intelligent edge devices, new security and privacy technologies, and the optimisation of cloud and edge computing for 5G networks. We could anticipate even more substantial developments in the integration of cloud and edge computing as time goes on. These innovations will make it possible to introduce creative and original use cases in a variety of business situations.
{"title":"Cloud Computing and Edge Computing For Scalability and Performance","authors":"Luxmi Sapra","doi":"10.52783/tojqi.v11i4.10019","DOIUrl":"https://doi.org/10.52783/tojqi.v11i4.10019","url":null,"abstract":". Building effective and scalable systems that can handle enormous volumes of data processing and provide low-latency processing and real-time analytics may be accomplished by combining cloud and edge computing. Edge and cloud computing are both used in hybrid cloud computing. We investigated the various ways that cloud and edge computing may be coupled in this research report. The names \"cloud,\" \"edge,\" \"cloud and edge,\" \"edge as a service,\" \"mobile edge computing,\" and \"fog computing\" were all used to characterise these techniques. When choosing a strategy, organisations should carefully consider their needs because each strategy has benefits and drawbacks of its own. We also reviewed a range of academic articles that discuss the advantages and disadvantages of using a hybrid cloud/edge computing architecture. The papers show how cloud and edge computing may be applied to support special use cases in a variety of industries, including manufacturing, transportation, and healthcare. The issues that need to be resolved include those related to connectivity, security, complexity, cost, and scalability, to name just a few. If organisations wish to guarantee the success of their cloud and edge computing solutions, they must carefully tackle the aforementioned concerns. Looking ahead, we can see that the field of cloud and edge computing has a lot of potential for advancement and innovation. This can only happen with the development of intelligent edge devices, new security and privacy technologies, and the optimisation of cloud and edge computing for 5G networks. We could anticipate even more substantial developments in the integration of cloud and edge computing as time goes on. These innovations will make it possible to introduce creative and original use cases in a variety of business situations.","PeriodicalId":36407,"journal":{"name":"Turkish Online Journal of Qualitative Inquiry","volume":"52 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71004212","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 : 2023-01-01DOI: 10.52783/tojqi.v11i4.10021
Anand Kumar
. Modern computing is increasingly using distributed systems, and improving their load distribution and resource allocation is essential for obtaining optimal performance. Distributed algorithms for resource allocation and load balancing employ a variety of techniques, including heuristic-based, optimization-based, and machine learning-based ones. In this work, we present a review of distributed load-balancing and resource-allocation approaches. We explore the difficulties in developing efficient algorithms and emphasise the need of meticulously analysing and contrasting various algorithms in light of the requirements of a certain system and workload. Additionally, based on the concept of particle swarm optimisation, we present a distributed method for load balancing and resource allocation in cloud computing environments. Our suggested method tries to reduce the average task waiting time while simultaneously maintaining some semblance of resource parity among nodes. By putting our technique through its paces in a simulated cloud computing environment and examining the outcomes, we compare it against cutting-edge algorithms. Our research demonstrates that our suggested technique has the potential to greatly improve system performance by reducing the typical amount of task waiting time and ensuring that the load is distributed evenly among nodes. This shows how particle swarm optimisation may be used to create efficient distributed load-balancing and resource-allocation algorithms.
{"title":"Distributed Algorithms for Resource Allocation and Load Balancing","authors":"Anand Kumar","doi":"10.52783/tojqi.v11i4.10021","DOIUrl":"https://doi.org/10.52783/tojqi.v11i4.10021","url":null,"abstract":". Modern computing is increasingly using distributed systems, and improving their load distribution and resource allocation is essential for obtaining optimal performance. Distributed algorithms for resource allocation and load balancing employ a variety of techniques, including heuristic-based, optimization-based, and machine learning-based ones. In this work, we present a review of distributed load-balancing and resource-allocation approaches. We explore the difficulties in developing efficient algorithms and emphasise the need of meticulously analysing and contrasting various algorithms in light of the requirements of a certain system and workload. Additionally, based on the concept of particle swarm optimisation, we present a distributed method for load balancing and resource allocation in cloud computing environments. Our suggested method tries to reduce the average task waiting time while simultaneously maintaining some semblance of resource parity among nodes. By putting our technique through its paces in a simulated cloud computing environment and examining the outcomes, we compare it against cutting-edge algorithms. Our research demonstrates that our suggested technique has the potential to greatly improve system performance by reducing the typical amount of task waiting time and ensuring that the load is distributed evenly among nodes. This shows how particle swarm optimisation may be used to create efficient distributed load-balancing and resource-allocation algorithms.","PeriodicalId":36407,"journal":{"name":"Turkish Online Journal of Qualitative Inquiry","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71004700","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 : 2023-01-01DOI: 10.52783/tojqi.v11i3.10001
Chandrakala Arya, Asst. Professor
: The potential for physical-based fluid and solid-dynamics simulation to transform many branches of engineering and science makes this an important field of study. In this study, we survey the state-of-the-art of physically-based simulation for fluid and solid dynamics, discussing the many methods, tools, and approaches currently in use. We also offer a methodology for simulating the behavior of fluids and solids that combines a particle-based approach with a continuum-based approach. The simulation framework, particle-and continuum-based simulation, and their coupling are all parts of our proposed technique. Future directions for research are also discussed, such as machine learning, multiscale modeling, real-time simulations, coupled simulations, validation and verification techniques, and computational resources for physically-based simulations. The discipline of physically-based modeling for fluid and solid dynamics is expanding rapidly, and there are many areas where new discoveries could be made. Many branches of engineering and research stand to benefit greatly by tackling these problems and looking in new ways.
{"title":"Physically-Based Simulation for Fluid and Solid Dynamics","authors":"Chandrakala Arya, Asst. Professor","doi":"10.52783/tojqi.v11i3.10001","DOIUrl":"https://doi.org/10.52783/tojqi.v11i3.10001","url":null,"abstract":": The potential for physical-based fluid and solid-dynamics simulation to transform many branches of engineering and science makes this an important field of study. In this study, we survey the state-of-the-art of physically-based simulation for fluid and solid dynamics, discussing the many methods, tools, and approaches currently in use. We also offer a methodology for simulating the behavior of fluids and solids that combines a particle-based approach with a continuum-based approach. The simulation framework, particle-and continuum-based simulation, and their coupling are all parts of our proposed technique. Future directions for research are also discussed, such as machine learning, multiscale modeling, real-time simulations, coupled simulations, validation and verification techniques, and computational resources for physically-based simulations. The discipline of physically-based modeling for fluid and solid dynamics is expanding rapidly, and there are many areas where new discoveries could be made. Many branches of engineering and research stand to benefit greatly by tackling these problems and looking in new ways.","PeriodicalId":36407,"journal":{"name":"Turkish Online Journal of Qualitative Inquiry","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71003531","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 : 2023-01-01DOI: 10.52783/tojqi.v11i3.10003
Nidhi Joshi
: The manufacturing industry has benefited greatly from the advancements in CAD/CAE technology, which have transformed the process of designing and manufacturing products. This study examines the current state of the art in the field of CAD/CAE as it relates to the design and manufacture of products. Generative design, additive manufacturing, and virtual reality are just a few examples of the cutting-edge technologies that are revolutionizing the design process and making it possible to make things that are both novel and environmentally friendly. Implications for theory and practice, as well as restrictions and suggestions for future study, are presented in this work. According to the results, using CAD/CAE can help streamline the design process, cut down on expenses, and open the door to developing cutting-edge, high-performing industries goods. To get the most out of technology, this paper advises businesses to engage in staff education and development, work closely with developers and researchers, stock up on hardware and software, and measure the results.
{"title":"Computer-Aided Design and Engineering for Product Design and Manufacturing","authors":"Nidhi Joshi","doi":"10.52783/tojqi.v11i3.10003","DOIUrl":"https://doi.org/10.52783/tojqi.v11i3.10003","url":null,"abstract":": The manufacturing industry has benefited greatly from the advancements in CAD/CAE technology, which have transformed the process of designing and manufacturing products. This study examines the current state of the art in the field of CAD/CAE as it relates to the design and manufacture of products. Generative design, additive manufacturing, and virtual reality are just a few examples of the cutting-edge technologies that are revolutionizing the design process and making it possible to make things that are both novel and environmentally friendly. Implications for theory and practice, as well as restrictions and suggestions for future study, are presented in this work. According to the results, using CAD/CAE can help streamline the design process, cut down on expenses, and open the door to developing cutting-edge, high-performing industries goods. To get the most out of technology, this paper advises businesses to engage in staff education and development, work closely with developers and researchers, stock up on hardware and software, and measure the results.","PeriodicalId":36407,"journal":{"name":"Turkish Online Journal of Qualitative Inquiry","volume":"28 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71003766","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 : 2023-01-01DOI: 10.52783/tojqi.v11i4.10017
Shalini Aggarwal, Asst. Professor
. This work will offer an overview of the function that machine learning plays in the field of robotics. The relevance of machine learning in enabling robots to acquire knowledge via experience and adjust their behaviour in response to new situations is underlined. This allows robots to adapt to their surroundings and become more efficient. The article delves further into a number of different approaches to machine learning, such as reinforcement learning, imitation learning, and deep learning. These approaches are particularly well-suited for use in robots. Some of the more modern approaches, such as meta-learning, Bayesian optimisation, domain randomization, and adversarial training, are presented here. The final section of the paper discusses the topic of the future of robotics, focusing on the possibility that robots may become more powerful and capable in the future, eventually taking over jobs that are either too dangerous or too time-consuming for people to manage.
{"title":"Robot Learning and Adaptation for Intelligent Behavior","authors":"Shalini Aggarwal, Asst. Professor","doi":"10.52783/tojqi.v11i4.10017","DOIUrl":"https://doi.org/10.52783/tojqi.v11i4.10017","url":null,"abstract":". This work will offer an overview of the function that machine learning plays in the field of robotics. The relevance of machine learning in enabling robots to acquire knowledge via experience and adjust their behaviour in response to new situations is underlined. This allows robots to adapt to their surroundings and become more efficient. The article delves further into a number of different approaches to machine learning, such as reinforcement learning, imitation learning, and deep learning. These approaches are particularly well-suited for use in robots. Some of the more modern approaches, such as meta-learning, Bayesian optimisation, domain randomization, and adversarial training, are presented here. The final section of the paper discusses the topic of the future of robotics, focusing on the possibility that robots may become more powerful and capable in the future, eventually taking over jobs that are either too dangerous or too time-consuming for people to manage.","PeriodicalId":36407,"journal":{"name":"Turkish Online Journal of Qualitative Inquiry","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71004489","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 : 2023-01-01DOI: 10.52783/tojqi.v11i2.9987
{"title":"Renewable Energy Policies and Their Effectiveness in Promoting Solar Energy Adoption in India","authors":"","doi":"10.52783/tojqi.v11i2.9987","DOIUrl":"https://doi.org/10.52783/tojqi.v11i2.9987","url":null,"abstract":"","PeriodicalId":36407,"journal":{"name":"Turkish Online Journal of Qualitative Inquiry","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71003300","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 : 2023-01-01DOI: 10.52783/tojqi.v11i2.9985
Avnish Chauhan
Evergreen trees are used in farming practises known as agroforestry. Since it offers farmers and rural communities a financially and environmentally viable option for extensive diversified agriculture to obtain more fuel, pasture, fruits and vegetables, and fibres on the one hand and a better environment on the other, it has been used for ages in India as a traditional land use system. To boost total output, food crops, trees, and animals are all kept together on the same plot of land. These management strategies make sense in terms of both the economy and the environment. To sustain the demand for forest cover, these two resources—forest vegetation and agricultural output—only need to be compromised. It is crucial for improving agricultural production overall, improving soil fertility by adding organic matter, reducing climate change through carbon sequestration, safeguarding watersheds, and preserving biodiversity. Agro forestry ecosystems have the possibility of offer important mitigation alternatives, but they need to be managed properly because this affects how much carbon is stored. In India, the full potential of agro forestry practices for reducing climate change may be realized.
{"title":"Evaluating the Potential of Agro-forestry for Sustainable Land use Management: An Analytical Perspective","authors":"Avnish Chauhan","doi":"10.52783/tojqi.v11i2.9985","DOIUrl":"https://doi.org/10.52783/tojqi.v11i2.9985","url":null,"abstract":"Evergreen trees are used in farming practises known as agroforestry. Since it offers farmers and rural communities a financially and environmentally viable option for extensive diversified agriculture to obtain more fuel, pasture, fruits and vegetables, and fibres on the one hand and a better environment on the other, it has been used for ages in India as a traditional land use system. To boost total output, food crops, trees, and animals are all kept together on the same plot of land. These management strategies make sense in terms of both the economy and the environment. To sustain the demand for forest cover, these two resources—forest vegetation and agricultural output—only need to be compromised. It is crucial for improving agricultural production overall, improving soil fertility by adding organic matter, reducing climate change through carbon sequestration, safeguarding watersheds, and preserving biodiversity. Agro forestry ecosystems have the possibility of offer important mitigation alternatives, but they need to be managed properly because this affects how much carbon is stored. In India, the full potential of agro forestry practices for reducing climate change may be realized.","PeriodicalId":36407,"journal":{"name":"Turkish Online Journal of Qualitative Inquiry","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71003640","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 : 2023-01-01DOI: 10.52783/tojqi.v11i3.10010
{"title":"Role of Modern Technology in Industry 4.0: An Empirical Study in the Context of Artificial Intelligence","authors":"","doi":"10.52783/tojqi.v11i3.10010","DOIUrl":"https://doi.org/10.52783/tojqi.v11i3.10010","url":null,"abstract":"","PeriodicalId":36407,"journal":{"name":"Turkish Online Journal of Qualitative Inquiry","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71004011","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 : 2023-01-01DOI: 10.52783/tojqi.v11i3.10012
{"title":"Quality Control and Management in Manufacturing Industries: A Critical Analysis","authors":"","doi":"10.52783/tojqi.v11i3.10012","DOIUrl":"https://doi.org/10.52783/tojqi.v11i3.10012","url":null,"abstract":"","PeriodicalId":36407,"journal":{"name":"Turkish Online Journal of Qualitative Inquiry","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71004232","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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