Programes de mobilitat 'incoming' (ETSEIB)http://hdl.handle.net/2099.1/150472024-03-29T05:52:54Z2024-03-29T05:52:54ZNavigating the Middle Ground: Foreseeing the Trajectory of Mid-Sized FundsBergquist, Jesperhttp://hdl.handle.net/2117/4053642024-03-26T12:00:22Z2024-03-26T11:51:26ZNavigating the Middle Ground: Foreseeing the Trajectory of Mid-Sized Funds
Bergquist, Jesper
This research paper studies different types of fund managers, focusing on mid-size managers to determine their position and strategy in the future. Mid-size funds are unique because they are larger than small, specialized funds but not as large as the larger fund managers. Most research in finance, currently focuses on either very large or very small fund managers, leaving a gap in the knowledge about the fund managers in between, what in this report, is called mid-sized fund managers. Since mid-size fund managers constitute a large part of the market, together with the lack of knowledge about them, it is important to learn more about how they operate and perform. Our study therefore aims to fill this gap by looking at how these funds work, how they perform compared to bigger and smaller funds, and how they should strategize in the future. A mix of methods was used for our research. To gain an understanding of the existing research, a literature review was made. Also, a quantitative data analysis was made, through gathering and analyzing data over funds Morningstar rating, fees, risk, and return, categorized by small-size, mid-size, and large-size fund managers. This combination of methods helped to get a full picture of the situation for mid-sized funds, both what previous literature suggested and what the gathered data showed. The quantitative data analysis shows that mid-size fund managers often have funds with higher fees than others, and their performance can vary a lot. Both the literature review and the data analysis that was made show similar results. The size of a fund manager seems to matter, and to be in the mid-size area is not optimal and they will unique challenges because of their size. Their main strategy should be to grow, and increase their market share, through consolidation and M&A. Our findings give a clearer picture of mid-sized funds, which is extra useful for people who manage them or consider investing in them. Understanding the special position of mid-sized funds can help in making better decisions, especially in times when the market keeps changing.
2024-03-26T11:51:26ZBergquist, JesperThis research paper studies different types of fund managers, focusing on mid-size managers to determine their position and strategy in the future. Mid-size funds are unique because they are larger than small, specialized funds but not as large as the larger fund managers. Most research in finance, currently focuses on either very large or very small fund managers, leaving a gap in the knowledge about the fund managers in between, what in this report, is called mid-sized fund managers. Since mid-size fund managers constitute a large part of the market, together with the lack of knowledge about them, it is important to learn more about how they operate and perform. Our study therefore aims to fill this gap by looking at how these funds work, how they perform compared to bigger and smaller funds, and how they should strategize in the future. A mix of methods was used for our research. To gain an understanding of the existing research, a literature review was made. Also, a quantitative data analysis was made, through gathering and analyzing data over funds Morningstar rating, fees, risk, and return, categorized by small-size, mid-size, and large-size fund managers. This combination of methods helped to get a full picture of the situation for mid-sized funds, both what previous literature suggested and what the gathered data showed. The quantitative data analysis shows that mid-size fund managers often have funds with higher fees than others, and their performance can vary a lot. Both the literature review and the data analysis that was made show similar results. The size of a fund manager seems to matter, and to be in the mid-size area is not optimal and they will unique challenges because of their size. Their main strategy should be to grow, and increase their market share, through consolidation and M&A. Our findings give a clearer picture of mid-sized funds, which is extra useful for people who manage them or consider investing in them. Understanding the special position of mid-sized funds can help in making better decisions, especially in times when the market keeps changing.Navigating the Middle Ground: Foreseeing the Trajectory of Mid-Sized FundsJohansson, Danielhttp://hdl.handle.net/2117/4053632024-03-26T12:00:26Z2024-03-26T11:50:58ZNavigating the Middle Ground: Foreseeing the Trajectory of Mid-Sized Funds
Johansson, Daniel
This research paper studies different types of fund managers, focusing on mid-size managers to determine their position and strategy in the future. Mid-size funds are unique because they are larger than small, specialized funds but not as large as the larger fund managers. Most research in finance, currently focuses on either very large or very small fund managers, leaving a gap in the knowledge about the fund managers in between, what in this report, is called mid-sized fund managers. Since mid-size fund managers constitute a large part of the market, together with the lack of knowledge about them, it is important to learn more about how they operate and perform. Our study therefore aims to fill this gap by looking at how these funds work, how they perform compared to bigger and smaller funds, and how they should strategize in the future. A mix of methods was used for our research. To gain an understanding of the existing research, a literature review was made. Also, a quantitative data analysis was made, through gathering and analyzing data over funds Morningstar rating, fees, risk, and return, categorized by small-size, mid-size, and large-size fund managers. This combination of methods helped to get a full picture of the situation for mid-sized funds, both what previous literature suggested and what the gathered data showed. The quantitative data analysis shows that mid-size fund managers often have funds with higher fees than others, and their performance can vary a lot. Both the literature review and the data analysis that was made show similar results. The size of a fund manager seems to matter, and to be in the mid-size area is not optimal and they will unique challenges because of their size. Their main strategy should be to grow, and increase their market share, through consolidation and M&A. Our findings give a clearer picture of mid-sized funds, which is extra useful for people who manage them or consider investing in them. Understanding the special position of mid-sized funds can help in making better decisions, especially in times when the market keeps changing.
2024-03-26T11:50:58ZJohansson, DanielThis research paper studies different types of fund managers, focusing on mid-size managers to determine their position and strategy in the future. Mid-size funds are unique because they are larger than small, specialized funds but not as large as the larger fund managers. Most research in finance, currently focuses on either very large or very small fund managers, leaving a gap in the knowledge about the fund managers in between, what in this report, is called mid-sized fund managers. Since mid-size fund managers constitute a large part of the market, together with the lack of knowledge about them, it is important to learn more about how they operate and perform. Our study therefore aims to fill this gap by looking at how these funds work, how they perform compared to bigger and smaller funds, and how they should strategize in the future. A mix of methods was used for our research. To gain an understanding of the existing research, a literature review was made. Also, a quantitative data analysis was made, through gathering and analyzing data over funds Morningstar rating, fees, risk, and return, categorized by small-size, mid-size, and large-size fund managers. This combination of methods helped to get a full picture of the situation for mid-sized funds, both what previous literature suggested and what the gathered data showed. The quantitative data analysis shows that mid-size fund managers often have funds with higher fees than others, and their performance can vary a lot. Both the literature review and the data analysis that was made show similar results. The size of a fund manager seems to matter, and to be in the mid-size area is not optimal and they will unique challenges because of their size. Their main strategy should be to grow, and increase their market share, through consolidation and M&A. Our findings give a clearer picture of mid-sized funds, which is extra useful for people who manage them or consider investing in them. Understanding the special position of mid-sized funds can help in making better decisions, especially in times when the market keeps changing.Lean thinking, green living: Synergies for a sustainable futureSousa, Cláudiahttp://hdl.handle.net/2117/4053482024-03-26T11:10:20Z2024-03-26T11:03:16ZLean thinking, green living: Synergies for a sustainable future
Sousa, Cláudia
Lean production, the most extensive production paradigm now used in industry, has become one of the most popular themes in business and manufacturing literature during the past few decades. Value stream, continuous flow, pull systems, continuous improvement are the five principles that define Lean production as the significance of eliminating waste. In parallel with the Lean thinking, the Green strategy is also gaining importance in competition between companies. Many businesses are working to create goods or services that have less of an impact on the environment over a period of their lifecycle. The goal is to decrease the use of resources, remove risky materials, promote recycling, improve efficiency, and lower CO2 emissions. Waste reduction is an essential component of both the Lean and Green production paradigms, and combining these two approaches to management can produce beneficial outcomes.
2024-03-26T11:03:16ZSousa, CláudiaLean production, the most extensive production paradigm now used in industry, has become one of the most popular themes in business and manufacturing literature during the past few decades. Value stream, continuous flow, pull systems, continuous improvement are the five principles that define Lean production as the significance of eliminating waste. In parallel with the Lean thinking, the Green strategy is also gaining importance in competition between companies. Many businesses are working to create goods or services that have less of an impact on the environment over a period of their lifecycle. The goal is to decrease the use of resources, remove risky materials, promote recycling, improve efficiency, and lower CO2 emissions. Waste reduction is an essential component of both the Lean and Green production paradigms, and combining these two approaches to management can produce beneficial outcomes.Emerging charging technologies in road construction and infrastructureNyström, Albinhttp://hdl.handle.net/2117/4053052024-03-26T08:50:17Z2024-03-26T08:43:25ZEmerging charging technologies in road construction and infrastructure
Nyström, Albin
This research assignment discusses the evolution of smart road technologies and the role they play in the future transportation infrastructure. At a time when the world is in an electric transformation, the way roads are constructed needs to keep up with the development. This study provides a comprehensive technology forecast on emerging smart road systems. Central to this rapport is the study of different variants of Electrical Road Systems (ERS), including overhead conductive charging, bottom-attached conductive charging, and inductive charging technologies. The technology is explained and projects using the technologies are presented. The conductive projects treated are Siemens' eHighway which uses overhead conductive charging, eRoadArlanda and Elonroad with a bottom-attached conductive charging solution and Heliox Oppcharge, which is a pantograph that connects to bus roofs. The most dominant technology today is a conductive solution called Combined Charging System, CCS, which also is presented in the theory. Furthermore the paper presents five inductive R&Ds, with two projects adopting inductive charging in two different ways. For instance does the Detroit’s Electric Road System use inductive charging with a dynamic application, and the Taxi Fleet project uses the same technology but with a static configuration, both with the inductive charging system embedded in the road. The case studies practice the theories behind the ERS technologies in practical application which highlights the challenges and opportunities with implementing the systems. To obtain the most promising electric road solution for the next decade technological forecasting methods are applied. This research paper uses critical parameters like economic feasibility, energy efficiency, and Technology Readiness Level (TRL). In addition, technological road mapping is carried out and an expert in the field is interviewed. These methods analyze the different ERS theories and projects to gain an extensive understanding of which technology will be dominant in the future. When conducting the technological roadmapping the result showed that the conductive charging technology has been most dominant in R&D projects. The bottom-attached conductive charging solution is the newest technology on the market. When looking at the investment cost, it is high in all ERS. The technology worth investing in is not a one-fits-all solution and has to be a decision made on the needs and requirements of the geographic location. Furthermore, the experts were uncertain if dynamic ERS is the way to go in the future road infrastructure. With the current fast battery development, the static charging solutions might be more feasible. Nonetheless, they highlighted the importance of making decisions about which technology is going to be implemented depending on the geographic location and the local circumstances to ensure not becoming obsolescence in the near future. Each one of the projects showcases different combinations of effect and energy efficiency, addressing diverse transportation needs. Heavy duty transportation modes require significantly larger batteries to be able to travel long distances which in turn limits cargo capacity, having a dynamic ERS makes it possible to fit a variety of needs, both private and commercial.
2024-03-26T08:43:25ZNyström, AlbinThis research assignment discusses the evolution of smart road technologies and the role they play in the future transportation infrastructure. At a time when the world is in an electric transformation, the way roads are constructed needs to keep up with the development. This study provides a comprehensive technology forecast on emerging smart road systems. Central to this rapport is the study of different variants of Electrical Road Systems (ERS), including overhead conductive charging, bottom-attached conductive charging, and inductive charging technologies. The technology is explained and projects using the technologies are presented. The conductive projects treated are Siemens' eHighway which uses overhead conductive charging, eRoadArlanda and Elonroad with a bottom-attached conductive charging solution and Heliox Oppcharge, which is a pantograph that connects to bus roofs. The most dominant technology today is a conductive solution called Combined Charging System, CCS, which also is presented in the theory. Furthermore the paper presents five inductive R&Ds, with two projects adopting inductive charging in two different ways. For instance does the Detroit’s Electric Road System use inductive charging with a dynamic application, and the Taxi Fleet project uses the same technology but with a static configuration, both with the inductive charging system embedded in the road. The case studies practice the theories behind the ERS technologies in practical application which highlights the challenges and opportunities with implementing the systems. To obtain the most promising electric road solution for the next decade technological forecasting methods are applied. This research paper uses critical parameters like economic feasibility, energy efficiency, and Technology Readiness Level (TRL). In addition, technological road mapping is carried out and an expert in the field is interviewed. These methods analyze the different ERS theories and projects to gain an extensive understanding of which technology will be dominant in the future. When conducting the technological roadmapping the result showed that the conductive charging technology has been most dominant in R&D projects. The bottom-attached conductive charging solution is the newest technology on the market. When looking at the investment cost, it is high in all ERS. The technology worth investing in is not a one-fits-all solution and has to be a decision made on the needs and requirements of the geographic location. Furthermore, the experts were uncertain if dynamic ERS is the way to go in the future road infrastructure. With the current fast battery development, the static charging solutions might be more feasible. Nonetheless, they highlighted the importance of making decisions about which technology is going to be implemented depending on the geographic location and the local circumstances to ensure not becoming obsolescence in the near future. Each one of the projects showcases different combinations of effect and energy efficiency, addressing diverse transportation needs. Heavy duty transportation modes require significantly larger batteries to be able to travel long distances which in turn limits cargo capacity, having a dynamic ERS makes it possible to fit a variety of needs, both private and commercial.Emerging charging technologies in road construction and infrastructureNilsson, Alidahttp://hdl.handle.net/2117/4053042024-03-26T08:50:27Z2024-03-26T08:42:51ZEmerging charging technologies in road construction and infrastructure
Nilsson, Alida
This research assignment discusses the evolution of smart road technologies and the role they play in the future transportation infrastructure. At a time when the world is in an electric transformation, the way roads are constructed needs to keep up with the development. This study provides a comprehensive technology forecast on emerging smart road systems. Central to this rapport is the study of different variants of Electrical Road Systems (ERS), including overhead conductive charging, bottom-attached conductive charging, and inductive charging technologies. The technology is explained and projects using the technologies are presented. The conductive projects treated are Siemens' eHighway which uses overhead conductive charging, eRoadArlanda and Elonroad with a bottom-attached conductive charging solution and Heliox Oppcharge, which is a pantograph that connects to bus roofs. The most dominant technology today is a conductive solution called Combined Charging System, CCS, which also is presented in the theory. Furthermore the paper presents five inductive R&Ds, with two projects adopting inductive charging in two different ways. For instance does the Detroit’s Electric Road System use inductive charging with a dynamic application, and the Taxi Fleet project uses the same technology but with a static configuration, both with the inductive charging system embedded in the road. The case studies practice the theories behind the ERS technologies in practical application which highlights the challenges and opportunities with implementing the systems. To obtain the most promising electric road solution for the next decade technological forecasting methods are applied. This research paper uses critical parameters like economic feasibility, energy efficiency, and Technology Readiness Level (TRL). In addition, technological road mapping is carried out and an expert in the field is interviewed. These methods analyze the different ERS theories and projects to gain an extensive understanding of which technology will be dominant in the future. When conducting the technological roadmapping the result showed that the conductive charging technology has been most dominant in R&D projects. The bottom-attached conductive charging solution is the newest technology on the market. When looking at the investment cost, it is high in all ERS. The technology worth investing in is not a one-fits-all solution and has to be a decision made on the needs and requirements of the geographic location. Furthermore, the experts were uncertain if dynamic ERS is the way to go in the future road infrastructure. With the current fast battery development, the static charging solutions might be more feasible. Nonetheless, they highlighted the importance of making decisions about which technology is going to be implemented depending on the geographic location and the local circumstances to ensure not becoming obsolescence in the near future. Each one of the projects showcases different combinations of effect and energy efficiency, addressing diverse transportation needs. Heavy duty transportation modes require significantly larger batteries to be able to travel long distances which in turn limits cargo capacity, having a dynamic ERS makes it possible to fit a variety of needs, both private and commercial.
2024-03-26T08:42:51ZNilsson, AlidaThis research assignment discusses the evolution of smart road technologies and the role they play in the future transportation infrastructure. At a time when the world is in an electric transformation, the way roads are constructed needs to keep up with the development. This study provides a comprehensive technology forecast on emerging smart road systems. Central to this rapport is the study of different variants of Electrical Road Systems (ERS), including overhead conductive charging, bottom-attached conductive charging, and inductive charging technologies. The technology is explained and projects using the technologies are presented. The conductive projects treated are Siemens' eHighway which uses overhead conductive charging, eRoadArlanda and Elonroad with a bottom-attached conductive charging solution and Heliox Oppcharge, which is a pantograph that connects to bus roofs. The most dominant technology today is a conductive solution called Combined Charging System, CCS, which also is presented in the theory. Furthermore the paper presents five inductive R&Ds, with two projects adopting inductive charging in two different ways. For instance does the Detroit’s Electric Road System use inductive charging with a dynamic application, and the Taxi Fleet project uses the same technology but with a static configuration, both with the inductive charging system embedded in the road. The case studies practice the theories behind the ERS technologies in practical application which highlights the challenges and opportunities with implementing the systems. To obtain the most promising electric road solution for the next decade technological forecasting methods are applied. This research paper uses critical parameters like economic feasibility, energy efficiency, and Technology Readiness Level (TRL). In addition, technological road mapping is carried out and an expert in the field is interviewed. These methods analyze the different ERS theories and projects to gain an extensive understanding of which technology will be dominant in the future. When conducting the technological roadmapping the result showed that the conductive charging technology has been most dominant in R&D projects. The bottom-attached conductive charging solution is the newest technology on the market. When looking at the investment cost, it is high in all ERS. The technology worth investing in is not a one-fits-all solution and has to be a decision made on the needs and requirements of the geographic location. Furthermore, the experts were uncertain if dynamic ERS is the way to go in the future road infrastructure. With the current fast battery development, the static charging solutions might be more feasible. Nonetheless, they highlighted the importance of making decisions about which technology is going to be implemented depending on the geographic location and the local circumstances to ensure not becoming obsolescence in the near future. Each one of the projects showcases different combinations of effect and energy efficiency, addressing diverse transportation needs. Heavy duty transportation modes require significantly larger batteries to be able to travel long distances which in turn limits cargo capacity, having a dynamic ERS makes it possible to fit a variety of needs, both private and commercial.Women and the gender gap in organisationsDa Costa Santos, Catarina Vanessahttp://hdl.handle.net/2117/4038752024-03-06T13:30:22Z2024-03-06T13:21:45ZWomen and the gender gap in organisations
Da Costa Santos, Catarina Vanessa
With an emphasis on the pay gap and underrepresentation in leadership roles, this paper provides a thorough analysis of the ongoing gender disparities in organizations. There are still significant obstacles to overcome despite recent progress in promoting equal opportunities, which emphasizes the necessity of initiatives like diversity programs, mentorship, and corporate policies centred on gender equity. Governments, businesses, and civil society must thus work together to drive structural change, especially considering the World Economic Forum's concerning prediction that it will take 135.6 years to close the global wage gap. The report's in-depth analysis, which refutes the idea that women are growing less ambitious, shows that they still have high ambitions and are motivated by flexibility in the workplace. The largest barrier, in contrast to the myth of the "glass ceiling," is the so-called "broken step"—the difference in advancement from the beginning of a career. Despite their derogatory moniker, microaggressions also significantly hinder women's career advancement and have a detrimental effect on their mental and physical well-being. Flexibility in the workplace is valued by both men and women as one of the primary corporate benefits, dispelling the myth that women's needs are the only ones who require it. Along with applauding current efforts and outlining future steps, it also emphasizes the critical need to address persistent inequalities. Maintaining a dedication to diversity and equality benefits society in general by making institutions stronger and fostering fairness and progress. To effectively eradicate gender inequality in the workplace, the Hershey Co. is cited as a role model due to its aggressive goals for increasing the representation of women in the workforce.
2024-03-06T13:21:45ZDa Costa Santos, Catarina VanessaWith an emphasis on the pay gap and underrepresentation in leadership roles, this paper provides a thorough analysis of the ongoing gender disparities in organizations. There are still significant obstacles to overcome despite recent progress in promoting equal opportunities, which emphasizes the necessity of initiatives like diversity programs, mentorship, and corporate policies centred on gender equity. Governments, businesses, and civil society must thus work together to drive structural change, especially considering the World Economic Forum's concerning prediction that it will take 135.6 years to close the global wage gap. The report's in-depth analysis, which refutes the idea that women are growing less ambitious, shows that they still have high ambitions and are motivated by flexibility in the workplace. The largest barrier, in contrast to the myth of the "glass ceiling," is the so-called "broken step"—the difference in advancement from the beginning of a career. Despite their derogatory moniker, microaggressions also significantly hinder women's career advancement and have a detrimental effect on their mental and physical well-being. Flexibility in the workplace is valued by both men and women as one of the primary corporate benefits, dispelling the myth that women's needs are the only ones who require it. Along with applauding current efforts and outlining future steps, it also emphasizes the critical need to address persistent inequalities. Maintaining a dedication to diversity and equality benefits society in general by making institutions stronger and fostering fairness and progress. To effectively eradicate gender inequality in the workplace, the Hershey Co. is cited as a role model due to its aggressive goals for increasing the representation of women in the workforce.Adaptation of algorithms for the detection of ECG waves and their analysisMaeda, Kaitohttp://hdl.handle.net/2117/4038712024-03-06T13:10:26Z2024-03-06T13:08:57ZAdaptation of algorithms for the detection of ECG waves and their analysis
Maeda, Kaito
Heart rate variability (HRV) is an indicator of autonomic activity. As such, it is said to be able to detect signs of disease and can be used to estimate disease status. Recently, the usefulness of the QT interval has been discussed. The reason for this is that QT interval variability is said to be a risk marker for arrhythmia and cardiovascular death. However, this is only a possibility, and whether it actually functions as a risk marker has not yet been established. All S, Q, R, T and P peaks from electrocardiograms (ECGs) were obtained with several Matlab algorithms and compared, and then RR and QT intervals were calculated. On the other hand, it is generally known that there are clear differences in QT interval and RR interval between men and women and with age. Therefore, this project codified an algorithm for HRV analysis implemented in Matlab to see if there are similar differences in QT, RR interval indicators between men and women and by age. For this purpose, several indicators were implemented in Matlab and applied to the QT and RR intervals based on linear and nonlinear algorithms.
2024-03-06T13:08:57ZMaeda, KaitoHeart rate variability (HRV) is an indicator of autonomic activity. As such, it is said to be able to detect signs of disease and can be used to estimate disease status. Recently, the usefulness of the QT interval has been discussed. The reason for this is that QT interval variability is said to be a risk marker for arrhythmia and cardiovascular death. However, this is only a possibility, and whether it actually functions as a risk marker has not yet been established. All S, Q, R, T and P peaks from electrocardiograms (ECGs) were obtained with several Matlab algorithms and compared, and then RR and QT intervals were calculated. On the other hand, it is generally known that there are clear differences in QT interval and RR interval between men and women and with age. Therefore, this project codified an algorithm for HRV analysis implemented in Matlab to see if there are similar differences in QT, RR interval indicators between men and women and by age. For this purpose, several indicators were implemented in Matlab and applied to the QT and RR intervals based on linear and nonlinear algorithms.Adaptation of algorithms for the detection of ECG waves and their analysisFukushi, Shunsukehttp://hdl.handle.net/2117/4038702024-03-06T13:10:28Z2024-03-06T13:08:50ZAdaptation of algorithms for the detection of ECG waves and their analysis
Fukushi, Shunsuke
Heart rate variability (HRV) is an indicator of autonomic activity. As such, it is said to be able to detect signs of disease and can be used to estimate disease status. Recently, the usefulness of the QT interval has been discussed. The reason for this is that QT interval variability is said to be a risk marker for arrhythmia and cardiovascular death. However, this is only a possibility, and whether it actually functions as a risk marker has not yet been established. All S, Q, R, T and P peaks from electrocardiograms (ECGs) were obtained with several Matlab algorithms and compared, and then RR and QT intervals were calculated. On the other hand, it is generally known that there are clear differences in QT interval and RR interval between men and women and with age. Therefore, this project codified an algorithm for HRV analysis implemented in Matlab to see if there are similar differences in QT, RR interval indicators between men and women and by age. For this purpose, several indicators were implemented in Matlab and applied to the QT and RR intervals based on linear and nonlinear algorithms.
2024-03-06T13:08:50ZFukushi, ShunsukeHeart rate variability (HRV) is an indicator of autonomic activity. As such, it is said to be able to detect signs of disease and can be used to estimate disease status. Recently, the usefulness of the QT interval has been discussed. The reason for this is that QT interval variability is said to be a risk marker for arrhythmia and cardiovascular death. However, this is only a possibility, and whether it actually functions as a risk marker has not yet been established. All S, Q, R, T and P peaks from electrocardiograms (ECGs) were obtained with several Matlab algorithms and compared, and then RR and QT intervals were calculated. On the other hand, it is generally known that there are clear differences in QT interval and RR interval between men and women and with age. Therefore, this project codified an algorithm for HRV analysis implemented in Matlab to see if there are similar differences in QT, RR interval indicators between men and women and by age. For this purpose, several indicators were implemented in Matlab and applied to the QT and RR intervals based on linear and nonlinear algorithms.Study of fluid-solid coupling for complex geometries in OpenFOAMPolczynska, Katarzynahttp://hdl.handle.net/2117/3963672023-11-14T15:00:30Z2023-11-14T14:58:15ZStudy of fluid-solid coupling for complex geometries in OpenFOAM
Polczynska, Katarzyna
The focus of this research will be the modelling of heat transfer with fluid-solid coupling for complex geometries in OpenFOAM. In the initial stage, selected aspects of the OpenFOAM toolkit will be introduced, including its fundamentals and usage. Afterwards, the available tools to model heat transfer in a solid wall in contact with a channel of a complex cross-section, through which the fluid flows will be explored. The outcome of this work will be an algorithm that could guide users in simulating a similar case
2023-11-14T14:58:15ZPolczynska, KatarzynaThe focus of this research will be the modelling of heat transfer with fluid-solid coupling for complex geometries in OpenFOAM. In the initial stage, selected aspects of the OpenFOAM toolkit will be introduced, including its fundamentals and usage. Afterwards, the available tools to model heat transfer in a solid wall in contact with a channel of a complex cross-section, through which the fluid flows will be explored. The outcome of this work will be an algorithm that could guide users in simulating a similar caseModelling and simulation of autonomous vehicleRenevey, Loïchttp://hdl.handle.net/2117/3962142023-11-09T17:30:28Z2023-11-09T17:23:39ZModelling and simulation of autonomous vehicle
Renevey, Loïc
This paper presents a modeling and simulation study of an autonomous vehicle, focusing on the BCN eMotorsport student car. The main objective is to optimize the simulation of the car’s horizontal velocity using Model Predictive Control (MPC) with longitudinal and lateral components. The study includes two sets of data: car runs and simulated data from a commercial simulator. For the car runs, the constrained optimization process significantly improves the fitting of the calculated velocities to the data while respecting the defined coefficient range for rolling resistance crolling and drag coefficient cd. The free optimization process further improves the fitting but at the expense of physically meaningful coefficients. The simulation of data from the commercial simulator reveals surprising results, as the initial simulation already matches the data relatively well. Both constrained and free optimization processes do not show significant improvements for these simulator datasets. Further research is needed to investigate the compatibility and reliability of the commercial simulator’s data with the developed simulation model. The paper concludes by emphasizing the importance of refining the simulator and expanding the optimization process to enhance the simulation accuracy for autonomous vehicle modeling
2023-11-09T17:23:39ZRenevey, LoïcThis paper presents a modeling and simulation study of an autonomous vehicle, focusing on the BCN eMotorsport student car. The main objective is to optimize the simulation of the car’s horizontal velocity using Model Predictive Control (MPC) with longitudinal and lateral components. The study includes two sets of data: car runs and simulated data from a commercial simulator. For the car runs, the constrained optimization process significantly improves the fitting of the calculated velocities to the data while respecting the defined coefficient range for rolling resistance crolling and drag coefficient cd. The free optimization process further improves the fitting but at the expense of physically meaningful coefficients. The simulation of data from the commercial simulator reveals surprising results, as the initial simulation already matches the data relatively well. Both constrained and free optimization processes do not show significant improvements for these simulator datasets. Further research is needed to investigate the compatibility and reliability of the commercial simulator’s data with the developed simulation model. The paper concludes by emphasizing the importance of refining the simulator and expanding the optimization process to enhance the simulation accuracy for autonomous vehicle modeling