Using AI and machine learning to engage users through text-based interactions, this research project explores the growth of chatbots as instructional aids. It looks at important chatbot development platforms, language, and development processes with the goal of increasing their versatility and impact across a range of industries. The report highlights chatbots' potential as interactive assistants and learning tools by offering a thorough review of real-world applications. The initiative finds new trends, best practices, and creative ways to enhance chatbot technology through thorough testing and analysis. In the end, it aims to increase chatbots' functionality and maximize their effectiveness in a variety of educational contexts. Keywords: Chatbots, Education, Artificial Intelligence.
{"title":"Advancing Educational Chatbots: Innovations in Development, Applications, and Impact","authors":"Nikil K N, R. R","doi":"10.55041/ijsrem36671","DOIUrl":"https://doi.org/10.55041/ijsrem36671","url":null,"abstract":"Using AI and machine learning to engage users through text-based interactions, this research project explores the growth of chatbots as instructional aids. It looks at important chatbot development platforms, language, and development processes with the goal of increasing their versatility and impact across a range of industries. The report highlights chatbots' potential as interactive assistants and learning tools by offering a thorough review of real-world applications. The initiative finds new trends, best practices, and creative ways to enhance chatbot technology through thorough testing and analysis. In the end, it aims to increase chatbots' functionality and maximize their effectiveness in a variety of educational contexts. Keywords: Chatbots, Education, Artificial Intelligence.","PeriodicalId":504501,"journal":{"name":"INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT","volume":"64 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141819031","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}
This paper presents the development and implementation of a comprehensive women's safety Android application designed to enhance personal security and provide rapid assistance in emergency situations. The app incorporates a variety of features aimed at ensuring user safety, including real-time location tracking, emergency contact alerts, SOS signal activation, and integrated reporting mechanisms. The core functionality allows users to quickly alert predefined contacts and local authorities with their precise location and a distress message. SafeSteps is a comprehensive women’s safety application designed for Android devices, aimed at enhancing personal safety and providing peace of mind through modern technology. The app includes a wide range of advanced features to ensure users feel secure and can quickly access help if needed. Key features of SafeSteps include emergency alerts that instantly notify predefined contacts and local authorities with a distress message and real-time location, and real-time location tracking to share live locations with trusted contacts for continuous monitoring. Route monitoring allows users to set a safe route and alert contacts if they deviate from it, while safe zone alerts notify users when they enter or leave designated safe or unsafe areas based on community reports and local crime data. The community-driven reporting system enables users to report incidents and view reports from others to stay informed about the safety of their surroundings. Additionally, educational resources provide users with important safety tips, self- defense techniques, and emergency contact information. The app also features a built-in alarm system to deter potential threats and attract attention, and a safety map to display safe and unsafe zones, helping users to plan safer routes and avoid high-risk areas. Customizable safety profiles allow users to adjust their safety settings and emergency contacts according to their specific needs. By integrating these features, SafeSteps creates a robust and user-friendly platform designed to provide a reliable and effective tool for women to feel secure and supported in their daily lives.
{"title":"SafeSteps","authors":"S. B V, SHWETHASHRI K","doi":"10.55041/ijsrem36605","DOIUrl":"https://doi.org/10.55041/ijsrem36605","url":null,"abstract":"This paper presents the development and implementation of a comprehensive women's safety Android application designed to enhance personal security and provide rapid assistance in emergency situations. The app incorporates a variety of features aimed at ensuring user safety, including real-time location tracking, emergency contact alerts, SOS signal activation, and integrated reporting mechanisms. The core functionality allows users to quickly alert predefined contacts and local authorities with their precise location and a distress message. SafeSteps is a comprehensive women’s safety application designed for Android devices, aimed at enhancing personal safety and providing peace of mind through modern technology. The app includes a wide range of advanced features to ensure users feel secure and can quickly access help if needed. Key features of SafeSteps include emergency alerts that instantly notify predefined contacts and local authorities with a distress message and real-time location, and real-time location tracking to share live locations with trusted contacts for continuous monitoring. Route monitoring allows users to set a safe route and alert contacts if they deviate from it, while safe zone alerts notify users when they enter or leave designated safe or unsafe areas based on community reports and local crime data. The community-driven reporting system enables users to report incidents and view reports from others to stay informed about the safety of their surroundings. Additionally, educational resources provide users with important safety tips, self- defense techniques, and emergency contact information. The app also features a built-in alarm system to deter potential threats and attract attention, and a safety map to display safe and unsafe zones, helping users to plan safer routes and avoid high-risk areas. Customizable safety profiles allow users to adjust their safety settings and emergency contacts according to their specific needs. By integrating these features, SafeSteps creates a robust and user-friendly platform designed to provide a reliable and effective tool for women to feel secure and supported in their daily lives.","PeriodicalId":504501,"journal":{"name":"INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT","volume":"55 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141819063","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}
This study investigates the mechanical properties and durability of a composite material comprising glass fibre reinforcement and polyethylene terephthalate (PET) yarns. The objective is to assess the feasibility of utilizing PET yarns as a reinforcing component alongside glass fibres in composite manufacturing. The research employs experimental methods to analyse tensile strength, flexural properties, and Tensile resistance of the composite material. Additionally, environmental testing is conducted to evaluate the composite's performance under various conditions, including moisture exposure and temperature fluctuations. The findings reveal synergistic effects between glass fibres and PET yarns, enhancing the composite's mechanical integrity and resilience to environmental stressors. This study contributes to advancing the understanding of composite materials and underscores the potential for integrating PET yarns in structural applications requiring lightweight, durable materials. Keywords: PET, GFRP, Resin, Tensile strength, Numerical Analysis.
本研究调查了由玻璃纤维增强材料和聚对苯二甲酸乙二酯（PET）纱组成的复合材料的机械性能和耐久性。目的是评估在复合材料制造中将 PET 纱线与玻璃纤维一起用作增强成分的可行性。研究采用实验方法分析复合材料的拉伸强度、弯曲性能和抗拉强度。此外，还进行了环境测试，以评估复合材料在各种条件下的性能，包括受潮和温度波动。研究结果表明，玻璃纤维和 PET 纱线具有协同效应，可增强复合材料的机械完整性和对环境应力的适应性。这项研究有助于加深人们对复合材料的理解，并强调了在需要轻质耐用材料的结构应用中整合 PET 纱的潜力。关键词PET、GFRP、树脂、拉伸强度、数值分析。
{"title":"Numerical and Experimental Analysis of Mechanical Properties of Glass Fibre with Pet Bottle Yarns Layer","authors":"Mr. M. Mohammed Arif, Dr. A. Baraniraj","doi":"10.55041/ijsrem36627","DOIUrl":"https://doi.org/10.55041/ijsrem36627","url":null,"abstract":"This study investigates the mechanical properties and durability of a composite material comprising glass fibre reinforcement and polyethylene terephthalate (PET) yarns. The objective is to assess the feasibility of utilizing PET yarns as a reinforcing component alongside glass fibres in composite manufacturing. The research employs experimental methods to analyse tensile strength, flexural properties, and Tensile resistance of the composite material. Additionally, environmental testing is conducted to evaluate the composite's performance under various conditions, including moisture exposure and temperature fluctuations. The findings reveal synergistic effects between glass fibres and PET yarns, enhancing the composite's mechanical integrity and resilience to environmental stressors. This study contributes to advancing the understanding of composite materials and underscores the potential for integrating PET yarns in structural applications requiring lightweight, durable materials. Keywords: PET, GFRP, Resin, Tensile strength, Numerical Analysis.","PeriodicalId":504501,"journal":{"name":"INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT","volume":"115 17","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141820131","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 sustainable, economical, and efficient method for producing biocompatible novel fluorescent carbon quantum dots (CQD’s) using the leaves of medicinal plant Calotropis gigantean by using microwave assist method. The obtained CG CQD’S were characterized by UV-Visible spectrophotometer, Fourier Transform Infrared Spectroscopy(FTIR), X-Ray diffraction(XRD), Dynamic light scattering (DLS) and Fluorescence spectroscopy. The synthesized carbon quantum dots (CQD's) are used to study the photo catalytic dye degradation of Bromophenol and Rose Bengal. The photocatalytic degradation of rose bengal by CQD’S with two different concentrations (50μg/ml and 100μg/ml ) was 18.5% and 35.33% degradation respectively. The photocatalytic degradation of bromo phenol blue by CQD’S with two different concentrations (50μg/ml and 100μg/ml) was 19.7% and 36.14 % degradation respectively. Keywords; Green synthesis, Calotropis Gigantea(CG),Carbon quantum dots, Photocatalytic, Rose Bengal, Bromphenol.
{"title":"Facile and Green synthesis of Novel Fluorescent CQD’S from Calotropis Gigantea (blue) Leaves for Photocatalytic Degradation of Dyes","authors":"Dr B Mallikarjuna","doi":"10.55041/ijsrem36584","DOIUrl":"https://doi.org/10.55041/ijsrem36584","url":null,"abstract":"A sustainable, economical, and efficient method for producing biocompatible novel fluorescent carbon quantum dots (CQD’s) using the leaves of medicinal plant Calotropis gigantean by using microwave assist method. The obtained CG CQD’S were characterized by UV-Visible spectrophotometer, Fourier Transform Infrared Spectroscopy(FTIR), X-Ray diffraction(XRD), Dynamic light scattering (DLS) and Fluorescence spectroscopy. The synthesized carbon quantum dots (CQD's) are used to study the photo catalytic dye degradation of Bromophenol and Rose Bengal. The photocatalytic degradation of rose bengal by CQD’S with two different concentrations (50μg/ml and 100μg/ml ) was 18.5% and 35.33% degradation respectively. The photocatalytic degradation of bromo phenol blue by CQD’S with two different concentrations (50μg/ml and 100μg/ml) was 19.7% and 36.14 % degradation respectively. Keywords; Green synthesis, Calotropis Gigantea(CG),Carbon quantum dots, Photocatalytic, Rose Bengal, Bromphenol.","PeriodicalId":504501,"journal":{"name":"INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT","volume":" 31","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141824914","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}
This paper investigates cost control practices at Dr. Reddy's Laboratories, Hyderabad, a leading pharmaceutical company in India. Cost control is critical in the pharmaceutical industry due to its impact on profitability, competitive advantage, and sustainability. The study employs a qualitative research approach, utilizing interviews and document analysis to explore the strategies, tools, and challenges associated with cost control at Dr. Reddy's Laboratories. Findings reveal that the company employs a range of practices including budgeting, variance analysis, cost reduction initiatives, and strategic sourcing to manage costs effectively. However, challenges such as regulatory pressures, market dynamics, and technological advancements influence the implementation and effectiveness of these practices. The study concludes with recommendations for enhancing cost control practices in the pharmaceutical sector, emphasizing the need for continuous adaptation and innovation to navigate the evolving landscape effectively. Key Words:Cost control, Cost Reduction, actual costs, Budgeted costs, Expenses
{"title":"A STUDY ON COST CONTROL PRACTICES AT Dr. REDDY’S LABORATORIES, HYDERABAD","authors":"Puram Soujanya Deepikha, Dr. K Pushpalatha","doi":"10.55041/ijsrem36562","DOIUrl":"https://doi.org/10.55041/ijsrem36562","url":null,"abstract":"This paper investigates cost control practices at Dr. Reddy's Laboratories, Hyderabad, a leading pharmaceutical company in India. Cost control is critical in the pharmaceutical industry due to its impact on profitability, competitive advantage, and sustainability. The study employs a qualitative research approach, utilizing interviews and document analysis to explore the strategies, tools, and challenges associated with cost control at Dr. Reddy's Laboratories. Findings reveal that the company employs a range of practices including budgeting, variance analysis, cost reduction initiatives, and strategic sourcing to manage costs effectively. However, challenges such as regulatory pressures, market dynamics, and technological advancements influence the implementation and effectiveness of these practices. The study concludes with recommendations for enhancing cost control practices in the pharmaceutical sector, emphasizing the need for continuous adaptation and innovation to navigate the evolving landscape effectively. Key Words:Cost control, Cost Reduction, actual costs, Budgeted costs, Expenses","PeriodicalId":504501,"journal":{"name":"INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT","volume":" 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141825245","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}
Apache Spark is a widely used technology now a days for handling huge datasets in applications due to its flexibility, scalability, robustness, speed and integration with multiple programming languages like Java, Scala, Python. It provides multiple methodologies for implementation like dataframes, RDDs with these programming languages. This paper provides a deep overview of Apache spark dataframes usage for performance enhancement over Apache Spark Resilient Distributed Datasets (RDDs) and SQL based data processing. Spark dataframes are widely used in managing and processing large datasets which can be structured, non-structured or semi-structured. This paper describes the approach towards Spark dataframes for performance enhancement for large data processing in place of traditional usage of Spark RDDs with practical examples and use cases. It highlights the key points on why to use dataframes for a better performance achievement for any application where large dataset needs to be processed into a meaningful output.
{"title":"A Comparative Analysis of Apache Spark Dataframes over Resilient Distributed Datasets (RDDs)","authors":"Ashima Sahni","doi":"10.55041/ijsrem36566","DOIUrl":"https://doi.org/10.55041/ijsrem36566","url":null,"abstract":"Apache Spark is a widely used technology now a days for handling huge datasets in applications due to its flexibility, scalability, robustness, speed and integration with multiple programming languages like Java, Scala, Python. It provides multiple methodologies for implementation like dataframes, RDDs with these programming languages. This paper provides a deep overview of Apache spark dataframes usage for performance enhancement over Apache Spark Resilient Distributed Datasets (RDDs) and SQL based data processing. Spark dataframes are widely used in managing and processing large datasets which can be structured, non-structured or semi-structured. This paper describes the approach towards Spark dataframes for performance enhancement for large data processing in place of traditional usage of Spark RDDs with practical examples and use cases. It highlights the key points on why to use dataframes for a better performance achievement for any application where large dataset needs to be processed into a meaningful output.","PeriodicalId":504501,"journal":{"name":"INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT","volume":" 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141826742","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}
Abstract—Emerging technology such as artificial intelligence employs machines to mimic human behavior and is dependent on computers and huge data.By looking at large amounts of data, applying algorithms, and visualizing the information, people may apply artificial intelligence.The use of various forms of technology can replace many decision-making processes in the modern era.Nowadays, a lot of courts are looking at using AI in the legal system.Artificial intelligence is used to provide relevant resources, pass/expire tests, provide early warnings at every access connection time, and more.Inequality and corruption in the court system can also be resolved, which is advantageous for decision- making supported by intelligence.An examination of this article demonstrates that artificial intelligence is required to combat crime within the legal system and facilitates the shift. from general to diligent labor and is helpful in enhancing the legal system.Over 8 million instances were seen for the first time in 2017, with only 100,000 cases ending.Nevertheless, 4,444 million patients must be closed by 2020 due to the smart experiment involving more than 10 million patientsfor the firsttime.Although a lot has changed, we still need to create and enhance corporate policies, safeguard intelligence from private access, and regulate corporations. has the same thinking and human brain in mind.It might be required to support decision-making. Index Terms—— Artificial Intelligence, Courts,Judges;
{"title":"Assessing Artificial Intelligence in Judicial System","authors":"Srikanth Bn, Sowmya V","doi":"10.55041/ijsrem36601","DOIUrl":"https://doi.org/10.55041/ijsrem36601","url":null,"abstract":"Abstract—Emerging technology such as artificial intelligence employs machines to mimic human behavior and is dependent on computers and huge data.By looking at large amounts of data, applying algorithms, and visualizing the information, people may apply artificial intelligence.The use of various forms of technology can replace many decision-making processes in the modern era.Nowadays, a lot of courts are looking at using AI in the legal system.Artificial intelligence is used to provide relevant resources, pass/expire tests, provide early warnings at every access connection time, and more.Inequality and corruption in the court system can also be resolved, which is advantageous for decision- making supported by intelligence.An examination of this article demonstrates that artificial intelligence is required to combat crime within the legal system and facilitates the shift. from general to diligent labor and is helpful in enhancing the legal system.Over 8 million instances were seen for the first time in 2017, with only 100,000 cases ending.Nevertheless, 4,444 million patients must be closed by 2020 due to the smart experiment involving more than 10 million patientsfor the firsttime.Although a lot has changed, we still need to create and enhance corporate policies, safeguard intelligence from private access, and regulate corporations. has the same thinking and human brain in mind.It might be required to support decision-making. Index Terms—— Artificial Intelligence, Courts,Judges;","PeriodicalId":504501,"journal":{"name":"INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT","volume":" 9","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141824660","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}
Android applications are becoming increasingly important in the business world as technology advances. As a result, because technology and smart solutions are changing the perspective of many concepts as well as the means of accessing solutions, there is a considerable increase in android application services. There are numerous Android applications that play an important role in providing services such as food delivery, grocery delivery, and service applications; however, there is no Android application for vehicle breakdown services, making it difficult to identify vehicle service stations when traveling. The primary goal of this mobile application is to create an android app concerning auto servicing stations. This app gives you fast advise on a vehicle service station, but it also maintains track of the surrounding Key Words: GPS,Direction API,Geocoding API, Coordinates, Location, Real-time.
{"title":"ONROAD VEHICLE SERVICE APPLICATION","authors":"K. K. Venkatesh, Dr Srinivasulu M","doi":"10.55041/ijsrem36578","DOIUrl":"https://doi.org/10.55041/ijsrem36578","url":null,"abstract":"Android applications are becoming increasingly important in the business world as technology advances. As a result, because technology and smart solutions are changing the perspective of many concepts as well as the means of accessing solutions, there is a considerable increase in android application services. There are numerous Android applications that play an important role in providing services such as food delivery, grocery delivery, and service applications; however, there is no Android application for vehicle breakdown services, making it difficult to identify vehicle service stations when traveling. The primary goal of this mobile application is to create an android app concerning auto servicing stations. This app gives you fast advise on a vehicle service station, but it also maintains track of the surrounding Key Words: GPS,Direction API,Geocoding API, Coordinates, Location, Real-time.","PeriodicalId":504501,"journal":{"name":"INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT","volume":" 60","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141824698","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}
Regulating the PID controller's parameters is a significant challenge in DC motor control operation. Multiverse Optimization Algorithm (MVO), a new metaheuristic algorithm, is used to overcome this challenge and is designed for driving a DC motor to find the best possible solution globally in the search space. The suggested controller can be used to adjust the PID controller's parameters to their optimum value. The outcomes of the simulation demonstrate that the suggested controller is capable of efficiently looking for the best PID controller. According to the simulation results, the development of the speed loop response stability has improved, the steady state error has decreased, the rising time has been perfected, and disturbances have no effect on the driving motor's performance with no overtaking. . Keywords— Multiverse Optimization Algorithm, DC motor, PID controller, Parameter Optimization.
{"title":"Optimal Control of DC Motor Using Multiverse Optimization Algorithm","authors":"Parmod kumar, Er Arshdeep Singh","doi":"10.55041/ijsrem36531","DOIUrl":"https://doi.org/10.55041/ijsrem36531","url":null,"abstract":"Regulating the PID controller's parameters is a significant challenge in DC motor control operation. Multiverse Optimization Algorithm (MVO), a new metaheuristic algorithm, is used to overcome this challenge and is designed for driving a DC motor to find the best possible solution globally in the search space. The suggested controller can be used to adjust the PID controller's parameters to their optimum value. The outcomes of the simulation demonstrate that the suggested controller is capable of efficiently looking for the best PID controller. According to the simulation results, the development of the speed loop response stability has improved, the steady state error has decreased, the rising time has been perfected, and disturbances have no effect on the driving motor's performance with no overtaking. . Keywords— Multiverse Optimization Algorithm, DC motor, PID controller, Parameter Optimization.","PeriodicalId":504501,"journal":{"name":"INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT","volume":" 96","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141825335","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}
This investigates into the performance of a meticulously chosen selection of mutual fund schemes across diverse categories, with a particular emphasis on equity, debt, and balanced offerings. Recognizing the paramount importance of informed investment decisions, the primary objective is to equip investors with a robust and insightful analysis. This analysis empowers them to strategically construct their investment portfolios, aligning them with their individual financial goals. To achieve this objective, the study employs a multifaceted approach, meticulously examining both quantitative and qualitative measures. Historical returns will be rigorously assessed to gauge past performance of each fund. Risk factors will be comprehensively analysed to understand the inherent level of volatility associated with each investment option. Additionally, the management strategies employed by each fund will be scrutinized, providing valuable insights into the underlying investment philosophy and decision-making processes driving the fund's performance. By combining these quantitative and qualitative elements, this study aims to paint a comprehensive picture of each mutual fund scheme. Through this analysis, investors will gain valuable knowledge not only about past returns but also about the risk profile and underlying investment strategies of each fund. This comprehensive understanding empowers investors to make informed choices that align with their individual risk tolerance and financial goals. Key Words: Balanced Funds, Equity Funds, Debt Funds, Mutual Fund Performance, Quantitative Analysis.
{"title":"PREFORMANCE EVALUATION OF SELECTED MUTUAL FUNDS SCHEME AT KOTAK MAHINDRA BANK, HYDERABAD","authors":"Punna Arun Kumar, Dr. K. Pushpa Latha","doi":"10.55041/ijsrem36563","DOIUrl":"https://doi.org/10.55041/ijsrem36563","url":null,"abstract":"This investigates into the performance of a meticulously chosen selection of mutual fund schemes across diverse categories, with a particular emphasis on equity, debt, and balanced offerings. Recognizing the paramount importance of informed investment decisions, the primary objective is to equip investors with a robust and insightful analysis. This analysis empowers them to strategically construct their investment portfolios, aligning them with their individual financial goals. To achieve this objective, the study employs a multifaceted approach, meticulously examining both quantitative and qualitative measures. Historical returns will be rigorously assessed to gauge past performance of each fund. Risk factors will be comprehensively analysed to understand the inherent level of volatility associated with each investment option. Additionally, the management strategies employed by each fund will be scrutinized, providing valuable insights into the underlying investment philosophy and decision-making processes driving the fund's performance. By combining these quantitative and qualitative elements, this study aims to paint a comprehensive picture of each mutual fund scheme. Through this analysis, investors will gain valuable knowledge not only about past returns but also about the risk profile and underlying investment strategies of each fund. This comprehensive understanding empowers investors to make informed choices that align with their individual risk tolerance and financial goals. Key Words: Balanced Funds, Equity Funds, Debt Funds, Mutual Fund Performance, Quantitative Analysis.","PeriodicalId":504501,"journal":{"name":"INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT","volume":" 10","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141827247","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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