zeeshan arfeen - Academia.edu (original) (raw)
Papers by zeeshan arfeen
2021 6th International Multi-Topic ICT Conference (IMTIC), 2021
Power transformers, are the central and well-regarded thing in the grids. The misadventure of a t... more Power transformers, are the central and well-regarded thing in the grids. The misadventure of a transformer can make undisputable a paramount upshot on the safeguard, consistency, and cost of electrical yield. In this study, a differential protection scheme established to Supervisory Control and Data-Acquisition (SCADA) system is recommended for various lack-of-correspondence protections of three-phase power transformers for the reason of varied actions of the currents' differences in accountability states. The innovative adaptive methodology grants development in the enactment and stability of the three-phase transformers. The distinction representative offers the well-timed acknowledgment of burdens that are unobserved due to deficient thoughtfulness. The recommended protection scheme, on time, turns out to be responsive to all internal faults, while it is constant for the period of transformer stimulus and CT surplus due to peripheral faults. To assess the portrayal of the mentioned system, programming is done. Through this system, we look up the fault on the board while the whole system is associated with the SCADA system. From where we can see the category of the fault and safeguard the transformer from harm by deletion of the fault within almost no time. Results show that the suggested system is a proficient and expedient guard method.
2021 6th International Multi-Topic ICT Conference (IMTIC), 2021
The transfer of bulk electrical power over long distances can be done by high voltage alternating... more The transfer of bulk electrical power over long distances can be done by high voltage alternating current (HV AC) transmission systems. These HV AC power transmission systems have their perfections and imperfections. To enhance the existing power transmission systems, high voltage direct current (HVDC) power transmission systems are a sustainable solution. The emergence of advanced HVDC systems is so rapid that they are replacing their counterpart HV AC systems in many parts of the world. In this paper, the prominence of modern HVDC power transmission systems is highlighted. The topologies, converter assortments, contrasts, and modeling methods are discussed. The renewable energy sources (RES) including solar photovoltaic (PV) parks and mainland/ onshore/ offshore wind farms can be assimilated into the existing AC grids via advanced HVDC converters. The perceptions of multi-terminal HVDC systems and DC grids are presented, whereas, the challenges concomitant with the future DC grids are also emphasized.
The electric power systems around the globe are gradually shifting from conventional fossil fuel-... more The electric power systems around the globe are gradually shifting from conventional fossil fuel-based generating units to green renewable energy sources. The motivation behind this change is the environmental and economic concerns. Furthermore, the existing power systems are being overloaded day by day due to the continuously increasing population, which consequently led to the overloading of transformers, transmission, and distribution lines. Despite the overwhelming advantages of renewable energy sources, there are few major issues associated with them. For example, the injection and detachment of DGs into the current power system causes disparity among produced power along with connected load, thus distracting system’s equilibrium and causes unwanted voltage and frequency oscillations and overshoots. These oscillations and overshoots may cause the failure of connected equipment or power system if not properly controlled. The investigation as such challenges to improve the freque...
International Journal for Modern Trends in Science and Technology, 2020
During epidemic outbreak it is hard to continue formal leaning and training routines specially wh... more During epidemic outbreak it is hard to continue formal leaning and training routines specially when whole world is facing corona virus fistula. It is crucial to identify and share the best practices and innovations to enable teaching and learning to take place during outbreak juncture. This will reinforce the basis for more sustainable and balanced schooling solutions as the crisis decreases. The biggest solution to cuts of schools is to plunge into cyberspace and distance learning, establishing a symbiosis between humans and the computers. Ideally, specific contents, learning outcomes, and a set of instructions are desirable. Use various media and technology, students can learn more in different ways and obtain varying results at various levels. Technologies can be compared along several characteristics. These features form a foundation for evaluating emerging innovations, seeing where they fit into the current environment and determining their potential benefits and limitations. T...
Electric Vehicle Integration in a Smart Microgrid Environment, 2021
This article provides a comprehensive study about optimization and real-time implementation of H∞... more This article provides a comprehensive study about optimization and real-time implementation of H∞ model-based controller for uncertain systems (having external perturbations) using robust control methods. The complicated air vehicle modeling is quite difficult because of highly nonlinear behavior, un-modeled states, and cross-coupling effect. The helicopter flight control also depends on two rotors generating continuous thrust simultaneously in two different directions. Simple linear feedback controllers cannot ensure the stability of highly nonlinear systems like a helicopter. The controllability and observability full rank matrix output ensure the credibility of the system before a controller design. The design of a robust controller for the desired flight control, demands the availability of all its states and varying parameters for real-time robust feedback control. However, its prototype, Twin-rotor MIMO System (TRMS) facilitates the researchers and control engineers in terms o...
At present with the massive induction of distributed renewable energy sources (RES), energy stora... more At present with the massive induction of distributed renewable energy sources (RES), energy storage systems (ESS) have the potential to curb the intermittent nature of micro sources and provide a steady supply of power to the load. It gives an optimum solution and considers as a major part of intelligent grids. For making a green environment, Electric Vehicle (EV) is the best option that emits zero exhaust gases, cleaner, less noisy and eco-friendly compared to engine-based vehicles. It could embark power sanctuary by allowing open access to RES. Nonetheless, EVs presently face encounters in the deployment of ESSs, inroad to their reliability, capacity, price, and online management issues. This study comprehensive review about technical advancements of ESSs, its detailed taxonomy, features, implementation, possibilities with system differences, and additional features of particularly EV applications. Hence, in this current study, technical analysis of Energy storage systems, its leading technologies, core assets, global energy stakeholders, economic merits and techniques on energy conversion is provided. Besides, the way of deploying energy storage techniques, the barriers and assessments are also presented to give a wider scope in this particular area.
Developing Charging Infrastructure and Technologies for Electric Vehicles
Electrifying transportation is one of the biggest keys to solving the looming climate crisis. The... more Electrifying transportation is one of the biggest keys to solving the looming climate crisis. The demand for electric vehicles (EV) is booming in the last five years and will increase in the coming years. In this modern age, where EV is the finest means of transportation due to null exhaust gases, there is a dire need to think about ways of recycling and reusing those batteries associated with EVs. In this context, it is estimated that post-vehicle battery packs application will be crossed from 1.4 million to 6.8 million by the year 2035. Numerous researches have been done on the re-purposing and safe disposal of EV batteries. However, presently, Lithium-ion batteries (LiBs) are the optimal choice for electric transportation due to greater energy density, compact size, and extended life cycles. Nonetheless, the trade-off between re-purposing and disposal of LiBs is substantial for the protection of the environment and human health. Regrettably, Lithium-ion battery recycling percenta...
The electrification of road transport networks is an encouraging attempt to green highways and to... more The electrification of road transport networks is an encouraging attempt to green highways and to lessen the impacts of global climatic scenarios. This research enlightens the current status, up-to-date employment, in compliance with numerous power charging topologies, and examines Electric vehicles (EV) influence and outlooks to society. Moreover, in this paper, the comparison of on and off-board mode of recharging methods with one-direction and bi-directional energy flux are exclusively addressed. The work is well supported with Tables and Figures to outskirts the details. The international standards for EV charging and infrastructure for refueling stations are also discussed and highlighted. In a sense, the paper gives fast insight and understanding of the current scenario of the charging pattern of EV to the readers.
At present with the massive induction of distributed renewable energy sources (RES), energy stora... more At present with the massive induction of distributed renewable energy sources
(RES), energy storage systems (ESS) have the potential to curb the intermittent
nature of micro sources and provide a steady supply of power to the load. It
gives an optimum solution and considers as a major part of intelligent grids.
For making a green environment, Electric Vehicle (EV) is the best option that
emits zero exhaust gases, cleaner, less noisy and eco-friendly compared to
engine-based vehicles. It could embark power sanctuary by allowing open
access to RES. Nonetheless, EVs presently face encounters in the deployment
of ESSs, inroad to their reliability, capacity, price, and online management
issues. This study comprehensive review about technical advancements of
ESSs, its detailed taxonomy, features, implementation, possibilities with system
differences, and additional features of particularly EV applications. Hence,
in this current study, technical analysis of Energy storage systems, its leading
technologies, core assets, global energy stakeholders, economic merits and
techniques on energy conversion is provided. Besides, the way of deploying
energy storage techniques, the barriers and assessments are also presented to
give a wider scope in this particular area.
Turkish Journal of Computer and Mathematics Education, 2021
The electric power systems around the globe are gradually shifting from conventional fossil fuel-... more The electric power systems around the globe are gradually shifting from conventional fossil fuel-based generating units to green renewable energy sources. The motivation behind this change is the environmental and economic concerns. Furthermore, the existing power systems are being overloaded day by day due to the continuously increasing population, which consequently led to the overloading of transformers, transmission, and distribution lines. Despite the overwhelming advantages of renewable energy sources, there are few major issues associated with them. For example, the injection and detachment of DGs into the current power system causes disparity among produced power along with connected load, thus distracting system's equilibrium and causes unwanted voltage and frequency oscillations and overshoots. These oscillations and overshoots may cause the failure of connected equipment or power system if not properly controlled. The investigation as such challenges to improve the fr...
International Transactions on Electrical Energy Systems
Microgrid implementation requires effective and efficient strategies for controlling the grid par... more Microgrid implementation requires effective and efficient strategies for controlling the grid parameters. Various problems are encountered with the deployment of distributed generation in terms of reverse power, an imbalance between power generation and nonlinear load. This paper is focused on the existing controllers in terms of their merits and limitations. Furthermore, the state of the art of the local power distribution system especially on renewable energy resources along with energy storage methods is explored. Reliability and stability of power flow between sources and consumers via voltage source inverter are also considered. The emerging microgrid concept in islanding and grid-connected mode using different controller along with soft computing algorithm are presented. This paper gives the reader fast insight into the context of the controller and its application.
Journal of Acute Medicine, 2014
Abstract We present the case of a 91-year-old woman admitted with symptoms secondary to hypercalc... more Abstract We present the case of a 91-year-old woman admitted with symptoms secondary to hypercalcemia and diagnosed with sarcoidosis, a rare cause of hypercalcemia in an older individual.
Microgrids have drawn substantial consideration due to high quality and reliable mix sources of e... more Microgrids have drawn substantial consideration due to high quality and reliable mix sources of electricity. This paper articulates the implication of innovative algorithms for cognitive microgrid. It perceived the algorithms that are backed by artificial intelligence (AI) are quite efficient due to the precision, convergence speed, and less computation time as compared to the conventional heuristic methods. Solar PV/Battery grid‐connected MG is modeled to achieve optimum size, supreme power quality, reduced fluctuations in voltage and frequency, reduced settling time, eliminate short transient currents, seamless power, least annual cost and high reliability as an objective function under wavering weather condition and dynamic load changes. Four broad categorizations of metaheuristic algorithms, that is, evolutionary, swarm intelligence, physics, and human intelligence‐based algorithms are well elaborated in this study. The optimal solution to the fitness function by using a hybrid ...
Microgrid implementation requires effective and efficient strategies for controlling the grid par... more Microgrid implementation requires effective and efficient strategies for controlling the grid parameters. Various problems are encountered with the deployment of distributed generation in terms of reverse power, an imbalance between power generation and nonlinear load. This paper is focused on the existing controllers in terms of their merits and limitations. Furthermore, the state of the art of the local power distribution system especially on renewable energy resources along with energy storage methods is explored. Reliability and stability of power flow between sources and consumers via voltage source inverter are also considered. The emerging microgrid concept in islanding and grid-connected mode using different controller along with soft computing algorithm are presented. This paper gives the reader fast insight into the context of the controller and its application.
Global cognizance for a green environment will embark on the rising demand for Plugin Electric ve... more Global cognizance for a green environment will embark on the rising demand for Plugin Electric vehicles (PEV) in the upcoming years. In this article, an online power management scheme (RTPMS) for a solar power battery-buffer grid-connected charging facility in an educational work area is developed. This algorithm contributes to lessening the overall diurnal price of recharging the PEVs, alleviating the influence of the charging station on the power grid, while participating in shaving the rise of the load curve. The understudy paper sheds the idea of quick charging of PEV integrated with energy storage stacks, photovoltaic systems and at the least demand with the power grid subject to constraints scenarios. Forecasting and statistical parameters are considered in the RTPMS to model the many uncertainties encompasses such as the photovoltaic power, PEVs arrival-departure period, and the energy present in their car batteries during their entrance at the station. The paper demonstrate ...
IEEE Access
A few decades ago, the idea of a car driving without human assistance was something inconceivable... more A few decades ago, the idea of a car driving without human assistance was something inconceivable. With the advent of deep learning-based machine learning in artificial intelligence, this imaginary idea has become part of our life. Like in other fields, these technological revolutions have brought drastic changes to the field of automated driving systems. The autonomous vehicle is in the transition state between level 3 and level 4 of automation, but many mysteries are still waiting to be solved. Understanding the environment as precisely as a human driver is still far in the future. To attain human perception requires the capturing of extensive surrounding information that depends on the onboard sensors installed on the vehicle. Because the recent autonomous vehicle is equipped with several sensors, it captures surrounding information in diverse forms. Combining these multi-domain data with sensor fusion is the open area of research that is considered in this paper. Along with sensor fusion, another area of prime importance that is necessary to be explored is the prediction of pedestrian intentions. Though the study of the prediction of a pedestrian's intentions started approximately fifteen years ago, most of the research is based on detection rather than intention. Furthermore, this paper also discusses related research in the field of prediction of the pedestrian's intentions. At the end of the article, this review paper includes open questions, challenges, and proposed solutions. INDEX TERMS Advanced driver assistance system, deep learning, pedestrian intention prediction, sensor, sensor fusion. NOMENCLATURE ACC Adaptive cruise control ADAS Advanced driver-assistance systems ADS Automated driving systems AEB Automatic emergency braking AI Artificial Intelligence AP everywhere Autopilot on everywhere AP Highway Autopilot on highway AV Autonomous vehicle CNN Convolutional neural network DARPA Defence advanced research projects agency DL Deep learning The associate editor coordinating the review of this manuscript and approving it for publication was Chao Chen.
International Journal of Electrical and Computer Engineering (IJECE)
A double output port DC-DC quasi impedance source converter (q-ZSC) is proposed. Each of the outp... more A double output port DC-DC quasi impedance source converter (q-ZSC) is proposed. Each of the outputs has a different voltage gain. One of the outputs is capable of bidirectional (four-quadrant) operation by only varying the duty ratio. The second output has the gain of traditional two-switch buck-boost converter. Operation of the converter was verified by simulating its responses for different input voltages and duty ratios using MATLAB SIMULINK software. Its average steady-state output current and voltage values were determined and used to determine the ripples that existed. These ripples are less than 5% of the average steady-state values for all the input voltage and duty ratio ranges considered.
2020 IEEE 10th International Conference on System Engineering and Technology (ICSET)
Optimization is a method for searching the best candidate solution to lessen or expand the value ... more Optimization is a method for searching the best candidate solution to lessen or expand the value of the objective problem. Broadly speaking algorithms can be orgabized into four main classes, i.e. biology-based algorithms, physics-based algorithms, sociology-based algorithms, and human intelligence-based algorithms. Swarm-intelligence (SI) based algorithms appeared as a commanding family of optimization techniques. The paper aims to commence a brief review of meta-heuristic algorithms especially Particle swarm optimization (PSO) and its sister variants in short. The understudy paper covers all important aspects of swarm intelligence PSO with deep insight learning for practitioners and scholars.
2021 6th International Multi-Topic ICT Conference (IMTIC), 2021
Power transformers, are the central and well-regarded thing in the grids. The misadventure of a t... more Power transformers, are the central and well-regarded thing in the grids. The misadventure of a transformer can make undisputable a paramount upshot on the safeguard, consistency, and cost of electrical yield. In this study, a differential protection scheme established to Supervisory Control and Data-Acquisition (SCADA) system is recommended for various lack-of-correspondence protections of three-phase power transformers for the reason of varied actions of the currents' differences in accountability states. The innovative adaptive methodology grants development in the enactment and stability of the three-phase transformers. The distinction representative offers the well-timed acknowledgment of burdens that are unobserved due to deficient thoughtfulness. The recommended protection scheme, on time, turns out to be responsive to all internal faults, while it is constant for the period of transformer stimulus and CT surplus due to peripheral faults. To assess the portrayal of the mentioned system, programming is done. Through this system, we look up the fault on the board while the whole system is associated with the SCADA system. From where we can see the category of the fault and safeguard the transformer from harm by deletion of the fault within almost no time. Results show that the suggested system is a proficient and expedient guard method.
2021 6th International Multi-Topic ICT Conference (IMTIC), 2021
The transfer of bulk electrical power over long distances can be done by high voltage alternating... more The transfer of bulk electrical power over long distances can be done by high voltage alternating current (HV AC) transmission systems. These HV AC power transmission systems have their perfections and imperfections. To enhance the existing power transmission systems, high voltage direct current (HVDC) power transmission systems are a sustainable solution. The emergence of advanced HVDC systems is so rapid that they are replacing their counterpart HV AC systems in many parts of the world. In this paper, the prominence of modern HVDC power transmission systems is highlighted. The topologies, converter assortments, contrasts, and modeling methods are discussed. The renewable energy sources (RES) including solar photovoltaic (PV) parks and mainland/ onshore/ offshore wind farms can be assimilated into the existing AC grids via advanced HVDC converters. The perceptions of multi-terminal HVDC systems and DC grids are presented, whereas, the challenges concomitant with the future DC grids are also emphasized.
The electric power systems around the globe are gradually shifting from conventional fossil fuel-... more The electric power systems around the globe are gradually shifting from conventional fossil fuel-based generating units to green renewable energy sources. The motivation behind this change is the environmental and economic concerns. Furthermore, the existing power systems are being overloaded day by day due to the continuously increasing population, which consequently led to the overloading of transformers, transmission, and distribution lines. Despite the overwhelming advantages of renewable energy sources, there are few major issues associated with them. For example, the injection and detachment of DGs into the current power system causes disparity among produced power along with connected load, thus distracting system’s equilibrium and causes unwanted voltage and frequency oscillations and overshoots. These oscillations and overshoots may cause the failure of connected equipment or power system if not properly controlled. The investigation as such challenges to improve the freque...
International Journal for Modern Trends in Science and Technology, 2020
During epidemic outbreak it is hard to continue formal leaning and training routines specially wh... more During epidemic outbreak it is hard to continue formal leaning and training routines specially when whole world is facing corona virus fistula. It is crucial to identify and share the best practices and innovations to enable teaching and learning to take place during outbreak juncture. This will reinforce the basis for more sustainable and balanced schooling solutions as the crisis decreases. The biggest solution to cuts of schools is to plunge into cyberspace and distance learning, establishing a symbiosis between humans and the computers. Ideally, specific contents, learning outcomes, and a set of instructions are desirable. Use various media and technology, students can learn more in different ways and obtain varying results at various levels. Technologies can be compared along several characteristics. These features form a foundation for evaluating emerging innovations, seeing where they fit into the current environment and determining their potential benefits and limitations. T...
Electric Vehicle Integration in a Smart Microgrid Environment, 2021
This article provides a comprehensive study about optimization and real-time implementation of H∞... more This article provides a comprehensive study about optimization and real-time implementation of H∞ model-based controller for uncertain systems (having external perturbations) using robust control methods. The complicated air vehicle modeling is quite difficult because of highly nonlinear behavior, un-modeled states, and cross-coupling effect. The helicopter flight control also depends on two rotors generating continuous thrust simultaneously in two different directions. Simple linear feedback controllers cannot ensure the stability of highly nonlinear systems like a helicopter. The controllability and observability full rank matrix output ensure the credibility of the system before a controller design. The design of a robust controller for the desired flight control, demands the availability of all its states and varying parameters for real-time robust feedback control. However, its prototype, Twin-rotor MIMO System (TRMS) facilitates the researchers and control engineers in terms o...
At present with the massive induction of distributed renewable energy sources (RES), energy stora... more At present with the massive induction of distributed renewable energy sources (RES), energy storage systems (ESS) have the potential to curb the intermittent nature of micro sources and provide a steady supply of power to the load. It gives an optimum solution and considers as a major part of intelligent grids. For making a green environment, Electric Vehicle (EV) is the best option that emits zero exhaust gases, cleaner, less noisy and eco-friendly compared to engine-based vehicles. It could embark power sanctuary by allowing open access to RES. Nonetheless, EVs presently face encounters in the deployment of ESSs, inroad to their reliability, capacity, price, and online management issues. This study comprehensive review about technical advancements of ESSs, its detailed taxonomy, features, implementation, possibilities with system differences, and additional features of particularly EV applications. Hence, in this current study, technical analysis of Energy storage systems, its leading technologies, core assets, global energy stakeholders, economic merits and techniques on energy conversion is provided. Besides, the way of deploying energy storage techniques, the barriers and assessments are also presented to give a wider scope in this particular area.
Developing Charging Infrastructure and Technologies for Electric Vehicles
Electrifying transportation is one of the biggest keys to solving the looming climate crisis. The... more Electrifying transportation is one of the biggest keys to solving the looming climate crisis. The demand for electric vehicles (EV) is booming in the last five years and will increase in the coming years. In this modern age, where EV is the finest means of transportation due to null exhaust gases, there is a dire need to think about ways of recycling and reusing those batteries associated with EVs. In this context, it is estimated that post-vehicle battery packs application will be crossed from 1.4 million to 6.8 million by the year 2035. Numerous researches have been done on the re-purposing and safe disposal of EV batteries. However, presently, Lithium-ion batteries (LiBs) are the optimal choice for electric transportation due to greater energy density, compact size, and extended life cycles. Nonetheless, the trade-off between re-purposing and disposal of LiBs is substantial for the protection of the environment and human health. Regrettably, Lithium-ion battery recycling percenta...
The electrification of road transport networks is an encouraging attempt to green highways and to... more The electrification of road transport networks is an encouraging attempt to green highways and to lessen the impacts of global climatic scenarios. This research enlightens the current status, up-to-date employment, in compliance with numerous power charging topologies, and examines Electric vehicles (EV) influence and outlooks to society. Moreover, in this paper, the comparison of on and off-board mode of recharging methods with one-direction and bi-directional energy flux are exclusively addressed. The work is well supported with Tables and Figures to outskirts the details. The international standards for EV charging and infrastructure for refueling stations are also discussed and highlighted. In a sense, the paper gives fast insight and understanding of the current scenario of the charging pattern of EV to the readers.
At present with the massive induction of distributed renewable energy sources (RES), energy stora... more At present with the massive induction of distributed renewable energy sources
(RES), energy storage systems (ESS) have the potential to curb the intermittent
nature of micro sources and provide a steady supply of power to the load. It
gives an optimum solution and considers as a major part of intelligent grids.
For making a green environment, Electric Vehicle (EV) is the best option that
emits zero exhaust gases, cleaner, less noisy and eco-friendly compared to
engine-based vehicles. It could embark power sanctuary by allowing open
access to RES. Nonetheless, EVs presently face encounters in the deployment
of ESSs, inroad to their reliability, capacity, price, and online management
issues. This study comprehensive review about technical advancements of
ESSs, its detailed taxonomy, features, implementation, possibilities with system
differences, and additional features of particularly EV applications. Hence,
in this current study, technical analysis of Energy storage systems, its leading
technologies, core assets, global energy stakeholders, economic merits and
techniques on energy conversion is provided. Besides, the way of deploying
energy storage techniques, the barriers and assessments are also presented to
give a wider scope in this particular area.
Turkish Journal of Computer and Mathematics Education, 2021
The electric power systems around the globe are gradually shifting from conventional fossil fuel-... more The electric power systems around the globe are gradually shifting from conventional fossil fuel-based generating units to green renewable energy sources. The motivation behind this change is the environmental and economic concerns. Furthermore, the existing power systems are being overloaded day by day due to the continuously increasing population, which consequently led to the overloading of transformers, transmission, and distribution lines. Despite the overwhelming advantages of renewable energy sources, there are few major issues associated with them. For example, the injection and detachment of DGs into the current power system causes disparity among produced power along with connected load, thus distracting system's equilibrium and causes unwanted voltage and frequency oscillations and overshoots. These oscillations and overshoots may cause the failure of connected equipment or power system if not properly controlled. The investigation as such challenges to improve the fr...
International Transactions on Electrical Energy Systems
Microgrid implementation requires effective and efficient strategies for controlling the grid par... more Microgrid implementation requires effective and efficient strategies for controlling the grid parameters. Various problems are encountered with the deployment of distributed generation in terms of reverse power, an imbalance between power generation and nonlinear load. This paper is focused on the existing controllers in terms of their merits and limitations. Furthermore, the state of the art of the local power distribution system especially on renewable energy resources along with energy storage methods is explored. Reliability and stability of power flow between sources and consumers via voltage source inverter are also considered. The emerging microgrid concept in islanding and grid-connected mode using different controller along with soft computing algorithm are presented. This paper gives the reader fast insight into the context of the controller and its application.
Journal of Acute Medicine, 2014
Abstract We present the case of a 91-year-old woman admitted with symptoms secondary to hypercalc... more Abstract We present the case of a 91-year-old woman admitted with symptoms secondary to hypercalcemia and diagnosed with sarcoidosis, a rare cause of hypercalcemia in an older individual.
Microgrids have drawn substantial consideration due to high quality and reliable mix sources of e... more Microgrids have drawn substantial consideration due to high quality and reliable mix sources of electricity. This paper articulates the implication of innovative algorithms for cognitive microgrid. It perceived the algorithms that are backed by artificial intelligence (AI) are quite efficient due to the precision, convergence speed, and less computation time as compared to the conventional heuristic methods. Solar PV/Battery grid‐connected MG is modeled to achieve optimum size, supreme power quality, reduced fluctuations in voltage and frequency, reduced settling time, eliminate short transient currents, seamless power, least annual cost and high reliability as an objective function under wavering weather condition and dynamic load changes. Four broad categorizations of metaheuristic algorithms, that is, evolutionary, swarm intelligence, physics, and human intelligence‐based algorithms are well elaborated in this study. The optimal solution to the fitness function by using a hybrid ...
Microgrid implementation requires effective and efficient strategies for controlling the grid par... more Microgrid implementation requires effective and efficient strategies for controlling the grid parameters. Various problems are encountered with the deployment of distributed generation in terms of reverse power, an imbalance between power generation and nonlinear load. This paper is focused on the existing controllers in terms of their merits and limitations. Furthermore, the state of the art of the local power distribution system especially on renewable energy resources along with energy storage methods is explored. Reliability and stability of power flow between sources and consumers via voltage source inverter are also considered. The emerging microgrid concept in islanding and grid-connected mode using different controller along with soft computing algorithm are presented. This paper gives the reader fast insight into the context of the controller and its application.
Global cognizance for a green environment will embark on the rising demand for Plugin Electric ve... more Global cognizance for a green environment will embark on the rising demand for Plugin Electric vehicles (PEV) in the upcoming years. In this article, an online power management scheme (RTPMS) for a solar power battery-buffer grid-connected charging facility in an educational work area is developed. This algorithm contributes to lessening the overall diurnal price of recharging the PEVs, alleviating the influence of the charging station on the power grid, while participating in shaving the rise of the load curve. The understudy paper sheds the idea of quick charging of PEV integrated with energy storage stacks, photovoltaic systems and at the least demand with the power grid subject to constraints scenarios. Forecasting and statistical parameters are considered in the RTPMS to model the many uncertainties encompasses such as the photovoltaic power, PEVs arrival-departure period, and the energy present in their car batteries during their entrance at the station. The paper demonstrate ...
IEEE Access
A few decades ago, the idea of a car driving without human assistance was something inconceivable... more A few decades ago, the idea of a car driving without human assistance was something inconceivable. With the advent of deep learning-based machine learning in artificial intelligence, this imaginary idea has become part of our life. Like in other fields, these technological revolutions have brought drastic changes to the field of automated driving systems. The autonomous vehicle is in the transition state between level 3 and level 4 of automation, but many mysteries are still waiting to be solved. Understanding the environment as precisely as a human driver is still far in the future. To attain human perception requires the capturing of extensive surrounding information that depends on the onboard sensors installed on the vehicle. Because the recent autonomous vehicle is equipped with several sensors, it captures surrounding information in diverse forms. Combining these multi-domain data with sensor fusion is the open area of research that is considered in this paper. Along with sensor fusion, another area of prime importance that is necessary to be explored is the prediction of pedestrian intentions. Though the study of the prediction of a pedestrian's intentions started approximately fifteen years ago, most of the research is based on detection rather than intention. Furthermore, this paper also discusses related research in the field of prediction of the pedestrian's intentions. At the end of the article, this review paper includes open questions, challenges, and proposed solutions. INDEX TERMS Advanced driver assistance system, deep learning, pedestrian intention prediction, sensor, sensor fusion. NOMENCLATURE ACC Adaptive cruise control ADAS Advanced driver-assistance systems ADS Automated driving systems AEB Automatic emergency braking AI Artificial Intelligence AP everywhere Autopilot on everywhere AP Highway Autopilot on highway AV Autonomous vehicle CNN Convolutional neural network DARPA Defence advanced research projects agency DL Deep learning The associate editor coordinating the review of this manuscript and approving it for publication was Chao Chen.
International Journal of Electrical and Computer Engineering (IJECE)
A double output port DC-DC quasi impedance source converter (q-ZSC) is proposed. Each of the outp... more A double output port DC-DC quasi impedance source converter (q-ZSC) is proposed. Each of the outputs has a different voltage gain. One of the outputs is capable of bidirectional (four-quadrant) operation by only varying the duty ratio. The second output has the gain of traditional two-switch buck-boost converter. Operation of the converter was verified by simulating its responses for different input voltages and duty ratios using MATLAB SIMULINK software. Its average steady-state output current and voltage values were determined and used to determine the ripples that existed. These ripples are less than 5% of the average steady-state values for all the input voltage and duty ratio ranges considered.
2020 IEEE 10th International Conference on System Engineering and Technology (ICSET)
Optimization is a method for searching the best candidate solution to lessen or expand the value ... more Optimization is a method for searching the best candidate solution to lessen or expand the value of the objective problem. Broadly speaking algorithms can be orgabized into four main classes, i.e. biology-based algorithms, physics-based algorithms, sociology-based algorithms, and human intelligence-based algorithms. Swarm-intelligence (SI) based algorithms appeared as a commanding family of optimization techniques. The paper aims to commence a brief review of meta-heuristic algorithms especially Particle swarm optimization (PSO) and its sister variants in short. The understudy paper covers all important aspects of swarm intelligence PSO with deep insight learning for practitioners and scholars.