Pub Date : 2023-10-16DOI: 10.52783/tjjpt.v44.i4.915
P. K. Saraswat
Over the course of the last thirty years, a persuasive argument has been presented in favor of the now acknowledged “standard model” of elementary particles and forces. The "Standard Model" is a theoretical framework that is constructed based on empirical observations and is utilized to make predictions and establish correlations with novel data. The table of elements represents a significant milestone in the field of chemistry, since it enabled researchers to make informed predictions regarding the characteristics of numerous elements and compounds that had not yet been thoroughly examined. Nonrelativistic quantum theory, as a widely accepted framework, has successfully established correlations between experimental outcomes throughout numerous investigations. Similar to its predecessors in several disciplines, the “standard model of particle physics” has exhibited remarkable efficacy in its ability to forecast a diverse array of phenomena. In a similar vein to the limitations of regular quantum mechanics in the relativistic regime, it is anticipated that the “standard model” will not hold true at infinitesimally small scales. Nevertheless, the notable achievement of the “standard model” strongly indicates that it will continue to serve as a highly accurate representation of the natural world, even at distance scales as minute as 10–18 m.
{"title":"The Standard Model of Particle Physics: Limitations and Beyond","authors":"P. K. Saraswat","doi":"10.52783/tjjpt.v44.i4.915","DOIUrl":"https://doi.org/10.52783/tjjpt.v44.i4.915","url":null,"abstract":"Over the course of the last thirty years, a persuasive argument has been presented in favor of the now acknowledged “standard model” of elementary particles and forces. The \"Standard Model\" is a theoretical framework that is constructed based on empirical observations and is utilized to make predictions and establish correlations with novel data. The table of elements represents a significant milestone in the field of chemistry, since it enabled researchers to make informed predictions regarding the characteristics of numerous elements and compounds that had not yet been thoroughly examined. Nonrelativistic quantum theory, as a widely accepted framework, has successfully established correlations between experimental outcomes throughout numerous investigations. Similar to its predecessors in several disciplines, the “standard model of particle physics” has exhibited remarkable efficacy in its ability to forecast a diverse array of phenomena. In a similar vein to the limitations of regular quantum mechanics in the relativistic regime, it is anticipated that the “standard model” will not hold true at infinitesimally small scales. Nevertheless, the notable achievement of the “standard model” strongly indicates that it will continue to serve as a highly accurate representation of the natural world, even at distance scales as minute as 10–18 m.","PeriodicalId":39883,"journal":{"name":"Tuijin Jishu/Journal of Propulsion Technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136182567","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 : 2023-10-16DOI: 10.52783/tjjpt.v44.i4.1644
Lima Nasrin Eni Et. all
Supply chain management has evolved into a complex and critical function for organizations operating in today's globalized and dynamic business environment. The proliferation of data and the advent of machine learning have opened up new avenues for optimizing supply chain operations. This paper investigates the transformative impact of machine learning on supply chain management, offering a comprehensive overview of the key applications and their associated benefits and challenges.Machine learning, a subset of artificial intelligence, has become a vital tool in enhancing the efficiency and effectiveness of supply chains. Key applications include demand forecasting, inventory management, route optimization, supplier risk assessment, quality control, and warehouse management. Through the analysis of historical data and external variables, machine learning models facilitate more accurate demand forecasting, leading to optimized inventory levels and better customer service. Furthermore, machine learning empowers organizations to make data-driven decisions, optimize transportation routes, and assess supplier performance, ultimately reducing operational costs.While machine learning offers substantial advantages, it also presents challenges related to data quality, integration with existing systems, change management, and data security. This paper explores real-world case studies to exemplify successful machine learning implementations in supply chain management and discusses current trends and future prospects in the field. The integration of machine learning into supply chain management represents a paradigm shift in the way organizations make decisions, optimize processes, and respond to the ever-changing demands of the market. Embracing this transformative technology is pivotal for organizations aiming to thrive in a competitive landscape characterized by rapid innovation and customer-centricity.
{"title":"From Data to Decisions Leveraging Machine Learning in Supply- Chain Management","authors":"Lima Nasrin Eni Et. all","doi":"10.52783/tjjpt.v44.i4.1644","DOIUrl":"https://doi.org/10.52783/tjjpt.v44.i4.1644","url":null,"abstract":"Supply chain management has evolved into a complex and critical function for organizations operating in today's globalized and dynamic business environment. The proliferation of data and the advent of machine learning have opened up new avenues for optimizing supply chain operations. This paper investigates the transformative impact of machine learning on supply chain management, offering a comprehensive overview of the key applications and their associated benefits and challenges.Machine learning, a subset of artificial intelligence, has become a vital tool in enhancing the efficiency and effectiveness of supply chains. Key applications include demand forecasting, inventory management, route optimization, supplier risk assessment, quality control, and warehouse management. Through the analysis of historical data and external variables, machine learning models facilitate more accurate demand forecasting, leading to optimized inventory levels and better customer service. Furthermore, machine learning empowers organizations to make data-driven decisions, optimize transportation routes, and assess supplier performance, ultimately reducing operational costs.While machine learning offers substantial advantages, it also presents challenges related to data quality, integration with existing systems, change management, and data security. This paper explores real-world case studies to exemplify successful machine learning implementations in supply chain management and discusses current trends and future prospects in the field. The integration of machine learning into supply chain management represents a paradigm shift in the way organizations make decisions, optimize processes, and respond to the ever-changing demands of the market. Embracing this transformative technology is pivotal for organizations aiming to thrive in a competitive landscape characterized by rapid innovation and customer-centricity.","PeriodicalId":39883,"journal":{"name":"Tuijin Jishu/Journal of Propulsion Technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136184276","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 : 2023-10-16DOI: 10.52783/tjjpt.v44.i4.1015
None VS Kochukrishna Kurup, P. Rangasami, Vishnu R, Shiju K K
Neglected and AbandonedChildren are the most vulnerable group in any society. However,a large segment of children face vulnerability in the family, even under parental care. Family-related vulnerabilities are inherently varied due to the diverse lifestyles and cultures across different tribal groups. The present study is a pilot study focused on assessing family-related vulnerabilities of children from a tribal village in Wayanad, Kerala. The research data was collected from a sample of 45 children from three tribal hamlets usinginterviews and the Score Vulnerability Assessment Tool. Results of the study showed that the difference infamily-related vulnerability to life conditions among male and female children is negligible, wheremost male and female children fall in the moderate to severe range of exposure. The findings disclose that 87% of children in the sample used some kind of substance (p<0.05), with asignificant score for the high rate of alcohol and substance abuse.
{"title":"Family Related Vulnerability: Vulnerability of Tribal Children in Families Living under Parental Care in Kerala.","authors":"None VS Kochukrishna Kurup, P. Rangasami, Vishnu R, Shiju K K","doi":"10.52783/tjjpt.v44.i4.1015","DOIUrl":"https://doi.org/10.52783/tjjpt.v44.i4.1015","url":null,"abstract":"Neglected and AbandonedChildren are the most vulnerable group in any society. However,a large segment of children face vulnerability in the family, even under parental care. Family-related vulnerabilities are inherently varied due to the diverse lifestyles and cultures across different tribal groups. The present study is a pilot study focused on assessing family-related vulnerabilities of children from a tribal village in Wayanad, Kerala. The research data was collected from a sample of 45 children from three tribal hamlets usinginterviews and the Score Vulnerability Assessment Tool. Results of the study showed that the difference infamily-related vulnerability to life conditions among male and female children is negligible, wheremost male and female children fall in the moderate to severe range of exposure. The findings disclose that 87% of children in the sample used some kind of substance (p<0.05), with asignificant score for the high rate of alcohol and substance abuse.","PeriodicalId":39883,"journal":{"name":"Tuijin Jishu/Journal of Propulsion Technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136182403","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 : 2023-10-16DOI: 10.52783/tjjpt.v44.i4.1410
Mustafizul Haque Et. all
The phenomenon of influencer marketing has rapidly transformed consumer behavior, providing marketers with a potent means of effectively reaching their intended target demographics. In the realm of consumer behavior, it has been seen that influencer marketing exerts a notable impact, as evidenced by the findings presented in this abstract.In contemporary advertising, influencer marketing has emerged as a fundamental component. This marketing technique leverages the utilization of influencers who possess substantial social media and other online audiences. Influencers are seen as reliable authorities of knowledge, and their recommendations have the potential to significantly impact consumer conduct.The influencer marketing sector has grown to be worth billions of dollars in recent years due to its exponential expansion. For firms to successfully deploy their marketing dollars, it is imperative to comprehend the impact of marketing on consumer behavior.Reaching and interacting with modern consumers is becoming more difficult for traditional advertising approaches. Influencer marketing research enables marketers to use the power of social media and online influence while adjusting to the changing business environment.Influencers are frequently more relatable to and trusted by consumers than traditional advertising Examining this authenticity and trust can reveal ways to strengthen the bonds between brands and consumers.Influencers play a crucial part in the decision-making process by introducing customers to new goods and services. Companies may enhance their marketing tactics by knowing how influencer recommendations affect consumers.Influencer marketing's interactive quality enables direct communication between companies and customers. Brands can improve customer connections and the customer experience by researching this element.Businesses can connect with their potential clients by using influencer marketing to target particular groups. Study aids in the improvement of targeting tactics.The main aim of the research is to analyse factors impacting influencer marketing on consumer behaviour.& to study opportunities & challenges in influencer marketing & how it impacts on consumer behaviour.
{"title":"Impact of Influencer Marketing on Consumer Behavior : An Analytical Study","authors":"Mustafizul Haque Et. all","doi":"10.52783/tjjpt.v44.i4.1410","DOIUrl":"https://doi.org/10.52783/tjjpt.v44.i4.1410","url":null,"abstract":"The phenomenon of influencer marketing has rapidly transformed consumer behavior, providing marketers with a potent means of effectively reaching their intended target demographics. In the realm of consumer behavior, it has been seen that influencer marketing exerts a notable impact, as evidenced by the findings presented in this abstract.In contemporary advertising, influencer marketing has emerged as a fundamental component. This marketing technique leverages the utilization of influencers who possess substantial social media and other online audiences. Influencers are seen as reliable authorities of knowledge, and their recommendations have the potential to significantly impact consumer conduct.The influencer marketing sector has grown to be worth billions of dollars in recent years due to its exponential expansion. For firms to successfully deploy their marketing dollars, it is imperative to comprehend the impact of marketing on consumer behavior.Reaching and interacting with modern consumers is becoming more difficult for traditional advertising approaches. Influencer marketing research enables marketers to use the power of social media and online influence while adjusting to the changing business environment.Influencers are frequently more relatable to and trusted by consumers than traditional advertising Examining this authenticity and trust can reveal ways to strengthen the bonds between brands and consumers.Influencers play a crucial part in the decision-making process by introducing customers to new goods and services. Companies may enhance their marketing tactics by knowing how influencer recommendations affect consumers.Influencer marketing's interactive quality enables direct communication between companies and customers. Brands can improve customer connections and the customer experience by researching this element.Businesses can connect with their potential clients by using influencer marketing to target particular groups. Study aids in the improvement of targeting tactics.The main aim of the research is to analyse factors impacting influencer marketing on consumer behaviour.& to study opportunities & challenges in influencer marketing & how it impacts on consumer behaviour.","PeriodicalId":39883,"journal":{"name":"Tuijin Jishu/Journal of Propulsion Technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136184285","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 : 2023-10-16DOI: 10.52783/tjjpt.v44.i4.862
Meena S., Arvind Kumar, Asha Bala, Sayali Pataskar, Ram Bajaj
While there are many advantages to an online education, there are also some disadvantages, including difficulties with motivation, isolation, and burnout. These psychological effects on students and teachers can be mitigated via adequate preparation, well-designed courses, and a welcoming virtual community. If these problems are fixed, everyone involved in online education will have a better experience. The rapid growth of online learning has caused a sea change in how educators approach their classrooms and the processes of teaching and learning. From the perspective of the mental health of teachers, this study looks into the effects of online education. In recent years, there has been a rise in the popularity of online universities. By understanding the challenges faced by their faculty and taking preventative measures to improve their mental health, educational institutions can successfully navigate the ever-changing landscape of online education while protecting the general well-being of their personnel. The main goal of this research is to study the challenges faculties, face in online teaching, to explore & analyse the factors considered by faculties towards POOE “(POOE means Psychological Outcomes of Online Education (POOE)”, to find the association of demographic factors with POOE “(POOE means Psychological Outcomes of Online Education)”.
{"title":"Analysing Faculties Perspective towards Psychological Outcomes of Online Education","authors":"Meena S., Arvind Kumar, Asha Bala, Sayali Pataskar, Ram Bajaj","doi":"10.52783/tjjpt.v44.i4.862","DOIUrl":"https://doi.org/10.52783/tjjpt.v44.i4.862","url":null,"abstract":"While there are many advantages to an online education, there are also some disadvantages, including difficulties with motivation, isolation, and burnout. These psychological effects on students and teachers can be mitigated via adequate preparation, well-designed courses, and a welcoming virtual community. If these problems are fixed, everyone involved in online education will have a better experience. The rapid growth of online learning has caused a sea change in how educators approach their classrooms and the processes of teaching and learning. From the perspective of the mental health of teachers, this study looks into the effects of online education. In recent years, there has been a rise in the popularity of online universities. By understanding the challenges faced by their faculty and taking preventative measures to improve their mental health, educational institutions can successfully navigate the ever-changing landscape of online education while protecting the general well-being of their personnel. The main goal of this research is to study the challenges faculties, face in online teaching, to explore & analyse the factors considered by faculties towards POOE “(POOE means Psychological Outcomes of Online Education (POOE)”, to find the association of demographic factors with POOE “(POOE means Psychological Outcomes of Online Education)”.","PeriodicalId":39883,"journal":{"name":"Tuijin Jishu/Journal of Propulsion Technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136182566","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 : 2023-10-16DOI: 10.52783/tjjpt.v44.i4.1042
Vinay Bhatia , Harmanpreet Kaur
The purpose of this study was to standardization of artistic gymnastic skill test on salto backward stretched dismount for sub junior girls. A sample size or design is a definite plan for determining before any data is actually collected for obtaining a sample from a given population. The subjects of this study was girls Gymnastic players who represented minimum state level or 3 year game age (as per certified by coach) with the help of purposive sampling. The age group of the subjects were below 14 years only. To construct the gymnastic skills test battery’s face validity was formulated by the researcher. A researcher taken different kinds of gymnastic skills from the FIG rulebook. After that we sent the skills to 13 experts for rating through likert scale. Then the experts rated & gave suggestions. When we finalized the skill by looking at the ratings. Highly rated skill had been considered for skill test battery. It is concluded that the gymnastic skill test ultimately could retain better skill item among the various skill items, which can successfully measure the gymnastic skill ability of the sub-junior gymnastic players with acceptable face validity, highly reliability and objectivity.
{"title":"Standardization of Artistic Gymnastic SkillTest on Salto Backward Stretched Dismount for Sub Junior Girls","authors":"Vinay Bhatia , Harmanpreet Kaur","doi":"10.52783/tjjpt.v44.i4.1042","DOIUrl":"https://doi.org/10.52783/tjjpt.v44.i4.1042","url":null,"abstract":"The purpose of this study was to standardization of artistic gymnastic skill test on salto backward stretched dismount for sub junior girls. A sample size or design is a definite plan for determining before any data is actually collected for obtaining a sample from a given population. The subjects of this study was girls Gymnastic players who represented minimum state level or 3 year game age (as per certified by coach) with the help of purposive sampling. The age group of the subjects were below 14 years only. To construct the gymnastic skills test battery’s face validity was formulated by the researcher. A researcher taken different kinds of gymnastic skills from the FIG rulebook. After that we sent the skills to 13 experts for rating through likert scale. Then the experts rated & gave suggestions. When we finalized the skill by looking at the ratings. Highly rated skill had been considered for skill test battery. It is concluded that the gymnastic skill test ultimately could retain better skill item among the various skill items, which can successfully measure the gymnastic skill ability of the sub-junior gymnastic players with acceptable face validity, highly reliability and objectivity.","PeriodicalId":39883,"journal":{"name":"Tuijin Jishu/Journal of Propulsion Technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136183113","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 : 2023-09-26DOI: 10.52783/tjjpt.v44.i3.446
SURYA MOL N V Et al.
The basis of this project is the modelling and simulation of melamine foam and study of other acoustic and thermal insulation foams . The External Tank of rockets required insulation to maintain the cryogenic fuels, liquid hydrogen, and liquid oxygen as well as to provide additional structural integrity through launch and after release from the Orbiter. Sites for launching large rockets are commonly equipped with some sound suppression system for absorb or deflect acoustic energy produced during a rocket launch. As engine exhaust gasses exceed speed of sound, they will collide with ambient air and then shockwaves are created, with noise levels approaching 200 db. Also foam and insulation protects deep space rocket from fire and ice. The cryogenic fuel, made up of liquid hydrogen and liquid oxygen, that powers the rocket has to stay extremely cold to remain liquid
This project included the modelling and simulation of open foam materials having acoustic and thermal insulation properties. COMSOL Multiphysics has proven to be an invaluable virtual laboratory tool in assisting development of a new generation of efficient analytical models describing the acoustics of highly porous fibre and open-cell foam materials. From this project will get an idea for microstructural viscous energy dissipation, oscillatory heat transfer and elasticity towards the three-dimensional foam geometry through simulation software. very promising results for the Melamine foam material, and an excellent prediction of the acoustics of this open-celled porous foam material will be done through this project.
{"title":"Acoustic And Thermal Insulation Foam Modelling and Simulation for Space Craft","authors":"SURYA MOL N V Et al.","doi":"10.52783/tjjpt.v44.i3.446","DOIUrl":"https://doi.org/10.52783/tjjpt.v44.i3.446","url":null,"abstract":"The basis of this project is the modelling and simulation of melamine foam and study of other acoustic and thermal insulation foams . The External Tank of rockets required insulation to maintain the cryogenic fuels, liquid hydrogen, and liquid oxygen as well as to provide additional structural integrity through launch and after release from the Orbiter. Sites for launching large rockets are commonly equipped with some sound suppression system for absorb or deflect acoustic energy produced during a rocket launch. As engine exhaust gasses exceed speed of sound, they will collide with ambient air and then shockwaves are created, with noise levels approaching 200 db. Also foam and insulation protects deep space rocket from fire and ice. The cryogenic fuel, made up of liquid hydrogen and liquid oxygen, that powers the rocket has to stay extremely cold to remain liquid
 This project included the modelling and simulation of open foam materials having acoustic and thermal insulation properties. COMSOL Multiphysics has proven to be an invaluable virtual laboratory tool in assisting development of a new generation of efficient analytical models describing the acoustics of highly porous fibre and open-cell foam materials. From this project will get an idea for microstructural viscous energy dissipation, oscillatory heat transfer and elasticity towards the three-dimensional foam geometry through simulation software. very promising results for the Melamine foam material, and an excellent prediction of the acoustics of this open-celled porous foam material will be done through this project.","PeriodicalId":39883,"journal":{"name":"Tuijin Jishu/Journal of Propulsion Technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135720173","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 : 2023-09-15DOI: 10.52783/tjjpt.v44.i3.293
Arvind Nain Et al.
Bullying goes beyond youthful behavior and continues long after students graduate from school. Colleges and universities shouldn't ignore bullying even though they are places that respect knowledge and intellect. But neither of these suppositions is true at all. According to a survey, bullying in various forms is pervasive in higher education. Unexpectedly, some components of the culture of higher education appear to actively foster some types of bullying. The study on bullying at colleges and universities is summarized in this document, together with information on its definition, frequency, and characteristics. The difficulties that have been found and their remedies are also examined. The conclusion emphasizes the necessity for educational institutions to make more efforts to eliminate bullying. To do this, schools and institutions should look to their core values and traditions for direction when creating more effective anti-bullying policies.
{"title":"Persistent Bullying in Higher Education Institutions: A Comprehensive Research Study","authors":"Arvind Nain Et al.","doi":"10.52783/tjjpt.v44.i3.293","DOIUrl":"https://doi.org/10.52783/tjjpt.v44.i3.293","url":null,"abstract":"Bullying goes beyond youthful behavior and continues long after students graduate from school. Colleges and universities shouldn't ignore bullying even though they are places that respect knowledge and intellect. But neither of these suppositions is true at all. According to a survey, bullying in various forms is pervasive in higher education. Unexpectedly, some components of the culture of higher education appear to actively foster some types of bullying. The study on bullying at colleges and universities is summarized in this document, together with information on its definition, frequency, and characteristics. The difficulties that have been found and their remedies are also examined. The conclusion emphasizes the necessity for educational institutions to make more efforts to eliminate bullying. To do this, schools and institutions should look to their core values and traditions for direction when creating more effective anti-bullying policies.","PeriodicalId":39883,"journal":{"name":"Tuijin Jishu/Journal of Propulsion Technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135486150","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 : 2023-09-11DOI: 10.52783/tjjpt.v44.i3.230
Nand Kumar Et al.
The advancement of artificial intelligence (AI) has ushered in a new era of automation and autonomy in various industries. Among the most prominent beneficiaries of AI are autonomous vehicles, drones, and robotics, where AI plays a pivotal role in enhancing perception, navigation, and decision-making capabilities. This paper explores the application of AI in these domains and its transformative impact on their functionalities. This research paper delves into the rapidly evolving field of artificial intelligence (AI) applied to autonomous vehicles, drones, and robotics. The integration of AI technologies in these domains has revolutionized perception, navigation, and decision-making processes, making them more efficient, safe, and adaptable. This paper provides an in-depth analysis of the current state of AI in these sectors, including the key technologies, challenges, and future prospects. It emphasizes the critical role of AI in transforming these industries and discusses the potential societal impacts.
{"title":"Exploring the Use of AI in Autonomous Vehicles, Drones, and Robotics for Perception, Navigation and Decision-Making","authors":"Nand Kumar Et al.","doi":"10.52783/tjjpt.v44.i3.230","DOIUrl":"https://doi.org/10.52783/tjjpt.v44.i3.230","url":null,"abstract":"The advancement of artificial intelligence (AI) has ushered in a new era of automation and autonomy in various industries. Among the most prominent beneficiaries of AI are autonomous vehicles, drones, and robotics, where AI plays a pivotal role in enhancing perception, navigation, and decision-making capabilities. This paper explores the application of AI in these domains and its transformative impact on their functionalities. This research paper delves into the rapidly evolving field of artificial intelligence (AI) applied to autonomous vehicles, drones, and robotics. The integration of AI technologies in these domains has revolutionized perception, navigation, and decision-making processes, making them more efficient, safe, and adaptable. This paper provides an in-depth analysis of the current state of AI in these sectors, including the key technologies, challenges, and future prospects. It emphasizes the critical role of AI in transforming these industries and discusses the potential societal impacts.","PeriodicalId":39883,"journal":{"name":"Tuijin Jishu/Journal of Propulsion Technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136026648","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 : 2023-09-11DOI: 10.52783/tjjpt.v44.i3.622
Mayank Namdev, Jayasundar S., Muhammad Babur, Deepak A. Vidhate, Santosh Yerasuri
Cloud computing has become an integral part of modern business operations, offering unprecedented scalability, cost-effectiveness, and agility. However, the widespread adoption of cloud services has also raised significant security concerns. This paper addresses the imperative need for enhancing security in cloud computing environments through the application of anomaly detection techniques powered by machine learning. The ubiquity of cloud computing has ushered in a new era of digital transformation, enabling organizations to streamline operations and achieve unprecedented efficiency. Nevertheless, the dynamic nature of the cloud, coupled with the evolving threat landscape, has exposed organizations to a spectrum of security challenges. These challenges encompass data breaches, insider threats, and vulnerabilities inherent to the shared responsibility model, which necessitates a collaborative approach between cloud service providers (CSPs) and customers. Anomaly detection, a key facet of cloud security, offers a proactive and adaptive defense mechanism against a wide range of security threats. At its core, anomaly detection relies on the establishment of a baseline of normal system behavior. This baseline is constructed by analyzing historical data patterns, allowing machine learning algorithms to distinguish deviations from the expected norm. Such deviations, often indicative of security incidents or vulnerabilities, trigger alerts for timely remediation. This paper delves into the principles of anomaly detection in cloud computing environments. It discusses the shared responsibility model, the evolving threat landscape, and the need for sophisticated security measures beyond traditional tools. Key anomaly detection principles, such as baseline establishment and machine learning model selection, are elucidated. The paper explores various machine learning algorithms suitable for anomaly detection, including k-means clustering, Support Vector Machines (SVMs), and autoencoders, highlighting their unique strengths and applications in cloud security. Enhancing security in cloud computing through anomaly detection powered by machine learning is essential in safeguarding valuable data and maintaining the integrity of cloud environments. By understanding the intricacies of cloud security challenges, embracing anomaly detection principles, and implementing appropriate machine learning algorithms, organizations can proactively protect their cloud assets and fortify their defenses against emerging threats. This paper serves as a comprehensive guide for organizations striving to secure their presence in the cloud while harnessing its transformative potential.
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