yasmine begum | Sree Vidyanikethan Engineering College (original) (raw)

Papers by yasmine begum

Journal of Pharmaceutical Negative Results

Electric vehicle (EV) manufacturers are increasing production in order to keep up with the fast g... more Electric vehicle (EV) manufacturers are increasing production in order to keep up with the fast growing demand from customers. To meet the ever-increasing demand for electric vehicles (EVs), both well enough and up-and-coming manufacturers of automobiles will need to immediately boost their production of EVs while simultaneously lowering their prices in order to compete. However, the production of electric vehicles comes with its own set of challenges for automotive manufacturers who are looking to survive in the years to come. By generating digital twins of both their products and their production processes, businesses have the ability to virtually develop and test complete assembly processes as well as entire facilities. This speeds up the process of transitioning to high-volume production without compromising the product's quality. Battery management is one of the most challenging components of driving electric vehicles (EV). Batteries and the amounts of energy that they can ...

International journal of health sciences

Insulin resistance or insulin deficiency can cause diabetes, which has a high level of glucose in... more Insulin resistance or insulin deficiency can cause diabetes, which has a high level of glucose in the blood (American Diabetes Association 2014). It's one of the most pressing issues in modern public health. Around 366 million individuals had diabetes in 2011, according to the "International Diabetes Federation" (IDF). This figure is expected to rise to 552 million by the end of 2030. The average score of the semantic measure and the Pearson correlation were used to create a similarity index in this study. Gene similarity can be determined by this procedure. "One" indicates perfect similarity between two genes, whereas "zero" indicates perfect dissimilarity. Algorithms based on Pearson and semantic measures were used to identify genes that were genetically similar. PERL was used to write the algorithm (Practical Extraction and Reporting Language). PERL found gene-to-gene similarity and gradually deleted redundant information. An algorithm known as &...

In superheater, steam temperature is controlled in a cascade control loop. The cascade control lo... more In superheater, steam temperature is controlled in a cascade control loop. The cascade control loop consists of PI and PID controllers. To improve the superheater steam temperature control the controller’s gains in a cascade control loop has to be tuned efficiently. The mathematical model of the superheater is derived by sets of nonlinear partial differential equations. The tuning methods taken for study here are designed for delay plus first order transfer function model. Hence from the dynamical model of the superheater, a FOPTD model is derived using frequency response method. Then by using Chien-Hrones-Reswick Tuning Algorithm and Gain-Phase Assignment Algorithm optimum controller gains has been found out based on the least value of integral time weighted absolute error.In superheater, steam temperature is controlled in a cascade control loop. The cascade control loop consists of PI and PID controllers. To improve the superheater steam temperature control the controller’s gains ...

This paper explains the tuning of superheated steam temperature system using Modified Zeigler tun... more This paper explains the tuning of superheated steam temperature system using Modified Zeigler tuning Algorithm. PID control has a wide range of applications in industrial control. Since many process plants use PID to control the dynamics involved in the process. It has been found possible to set satisfactory controller parameters from less plant information than a complete mathematical model.The fifth order model of super-heated temperature system is converted into first order model with delay using process reaction curve method. The analog PID controller is designed for superheated steam temperature system using Modified Zeigler tuning algorithm and Zeigler Nichols algorithm and results are compared.

A superheater is a vital part of the steam generation process in the boiler-turbine system. Relia... more A superheater is a vital part of the steam generation process in the boiler-turbine system. Reliable control of temperature in the superheated steam temperature system is important to ensure high efficiency and high load-following capability in the operation of modern power plant. The PI and PID controllers are widely applied in cascade control of secondary superheated steam temperature process and the tuning method of PI and PID controller parameters is still a hot research area. A Nelder mead based optimization tuning scheme is developed for cascade control of superheater steam temperature process. It is an efficient and fast tuning scheme compared to other conventional tuning techniques. The mathematical model of the superheater is derived by sets of nonlinear partial differential equations. From the dynamical model of the superheater, a FOPTD (First order plus dead time model) model is derived using frequency response method. Then optimum gains for PI and PID controllers in the ...

INNOVATIVE TEACHING PRACTICES FOR 4G STUDENTS, Apr 8, 2019

Journal of Information and Optimization Sciences, 2020

Abstract The variation of Livestock physiological parameters such as stress level, rumination, bo... more Abstract The variation of Livestock physiological parameters such as stress level, rumination, body temperature has harmful effect in reproduction cycle and also causes diseases such as Mastitis, Milk fever, Lameness etc. Development of animal collar for monitoring the physiological parameters may help in better management of cattle diseases and reproduction cycle. The advantages of this system include simplicity, portability and inexpensive health care of livestock. The cattle surface body temperature was measured continuously for one day with an interval of one hour. The body temperature of the cattle measured using DHT11 sensor and mercury thermometer is compared and the average difference between the temperature measured using DHT11 sensor and mercury thermometer is 0.03°C indicating the feasibility of this method to monitor state of health of a cattle. With the temperature data and humidity data obtained from DHT11 sensor THI index is calculated and stress level of the cattle is predicted without using any sensor. The ADXL335 sensor is fixed under the collar near the left side of the mouth of the livestock to monitor rumination of cattle. This system is implemented in the Rangampet village, Chittoor district in Andhra Pradesh. The prototype of the collar based cattle health monitoring system shows that it is helpful for livestock farmers for recognizing various diseases accurately.

Indian Journal of Public Health Research & Development, 2018

Indonesian Journal of Electrical Engineering and Computer Science, 2016

A superheater is a vital part of the steam generation process in the boiler-turbine system. Relia... more A superheater is a vital part of the steam generation process in the boiler-turbine system. Reliable control of temperature in the superheated steam temperature system is essential to guarantee efficiency and high load-following capability in the operation of coal-fired Thermal power plant. The PI and PID controllers are extensively used in cascade control of secondary superheated steam temperature process. The design and implementation of a Model Predictive Control (MPC) strategy for the superheated steam temperature regulation in a thermal power plant is presented. A FOPTD model is derived from the dynamic model of the superheater. This model is required by the MPC algorithm to calculate the future control inputs. A new MPC controller is designed and its performance is tested through simulation studies. Compared with the superheater steam temperature control using a conventional PID controller, the steam temperature controlled by the MPC controller is found to be more stable. The stable steam temperature leads to energy saving and efficient plant operation, as verified by the simulation results.

2015 International Conference on Industrial Instrumentation and Control (ICIC), 2015

The transfer of heat to and from process fluids is a necessary part of most of the process contro... more The transfer of heat to and from process fluids is a necessary part of most of the process control applications. So the Heat Exchangers (HEs) are used widely and regularly in the process and allied industries and are very essential during design and operation. The most widely used type of heat exchangers are double pipe heat exchangers and shell-and-tube heat exchangers. Fuzzy Logic Controllers (FLC) have become popular in process control applications due to their capabilities of handling linearity and nonlinearity in process control systems. The common type of FLC's that have been preferred so far is Type-I FLC's. However, Type-1 FLC's cannot completely handle high levels of linguistic and numerical uncertainties [14], because Type-1 FLC's use precise Type-1 fuzzy sets and membership functions. The membership functions of Type-1 systems do not account for certain set of environmental and operating situations[15]. This can cause poor performance of FLC and it can result in poor control and inefficiency. Type-II FLC can model and handle the linguistic and numerical uncertainties associated with the inputs and outputs of the system [14, 15]. The extra degrees of freedom provided by the FOU (footprint of uncertainty) enables a Type-II FLC to produce outputs that cannot be achieved by the Type-1 FLC's with the same number of membership functions [14-19]. Here in this paper a comparative study of Temperature control of Double pipe heat exchanger system using Type-II Fuzzy Logic Controller and the PI controller tuned using Genetic algorithm is presented. A Type-II Fuzzy Logic Controller is designed using velocity function derived from the differential equations representing the output of a PI controller. Simulations are performed using a fifth order mathematical model of Double Pipe heat exchanger system[13]. The least value of Integral Time Weighted Absolute Error (ITAE) decides the best controller for Double Pipe heat exchanger System.

Materials Today: Proceedings

Abstract A similarity is made between the two DevOps architectures and their times. The distincti... more Abstract A similarity is made between the two DevOps architectures and their times. The distinction involves variations in automatic process times, process discrepancies and user experience variations. Throughout the processing times, although the DevOps platforms seem identical. This work demonstrates the configuration of a DevOps platform. The creation of a simple DevOps pipeline is also seen and how the automated functions operate inside the pipeline. In contrast to DevOps systems, the pipelines are built separately. The workflow and the cycle times are then measured in the automated pipelines. The process time data consists of two separate test sets, which also demonstrate how DevOps was developed, and what this means for the software developer. The workflow is also reflected in the DevOps processes. The Valamis Party uses all these platforms.

Journal of Pharmaceutical Negative Results

Electric vehicle (EV) manufacturers are increasing production in order to keep up with the fast g... more Electric vehicle (EV) manufacturers are increasing production in order to keep up with the fast growing demand from customers. To meet the ever-increasing demand for electric vehicles (EVs), both well enough and up-and-coming manufacturers of automobiles will need to immediately boost their production of EVs while simultaneously lowering their prices in order to compete. However, the production of electric vehicles comes with its own set of challenges for automotive manufacturers who are looking to survive in the years to come. By generating digital twins of both their products and their production processes, businesses have the ability to virtually develop and test complete assembly processes as well as entire facilities. This speeds up the process of transitioning to high-volume production without compromising the product's quality. Battery management is one of the most challenging components of driving electric vehicles (EV). Batteries and the amounts of energy that they can ...

International journal of health sciences

Insulin resistance or insulin deficiency can cause diabetes, which has a high level of glucose in... more Insulin resistance or insulin deficiency can cause diabetes, which has a high level of glucose in the blood (American Diabetes Association 2014). It's one of the most pressing issues in modern public health. Around 366 million individuals had diabetes in 2011, according to the "International Diabetes Federation" (IDF). This figure is expected to rise to 552 million by the end of 2030. The average score of the semantic measure and the Pearson correlation were used to create a similarity index in this study. Gene similarity can be determined by this procedure. "One" indicates perfect similarity between two genes, whereas "zero" indicates perfect dissimilarity. Algorithms based on Pearson and semantic measures were used to identify genes that were genetically similar. PERL was used to write the algorithm (Practical Extraction and Reporting Language). PERL found gene-to-gene similarity and gradually deleted redundant information. An algorithm known as &...

In superheater, steam temperature is controlled in a cascade control loop. The cascade control lo... more In superheater, steam temperature is controlled in a cascade control loop. The cascade control loop consists of PI and PID controllers. To improve the superheater steam temperature control the controller’s gains in a cascade control loop has to be tuned efficiently. The mathematical model of the superheater is derived by sets of nonlinear partial differential equations. The tuning methods taken for study here are designed for delay plus first order transfer function model. Hence from the dynamical model of the superheater, a FOPTD model is derived using frequency response method. Then by using Chien-Hrones-Reswick Tuning Algorithm and Gain-Phase Assignment Algorithm optimum controller gains has been found out based on the least value of integral time weighted absolute error.In superheater, steam temperature is controlled in a cascade control loop. The cascade control loop consists of PI and PID controllers. To improve the superheater steam temperature control the controller’s gains ...

This paper explains the tuning of superheated steam temperature system using Modified Zeigler tun... more This paper explains the tuning of superheated steam temperature system using Modified Zeigler tuning Algorithm. PID control has a wide range of applications in industrial control. Since many process plants use PID to control the dynamics involved in the process. It has been found possible to set satisfactory controller parameters from less plant information than a complete mathematical model.The fifth order model of super-heated temperature system is converted into first order model with delay using process reaction curve method. The analog PID controller is designed for superheated steam temperature system using Modified Zeigler tuning algorithm and Zeigler Nichols algorithm and results are compared.

A superheater is a vital part of the steam generation process in the boiler-turbine system. Relia... more A superheater is a vital part of the steam generation process in the boiler-turbine system. Reliable control of temperature in the superheated steam temperature system is important to ensure high efficiency and high load-following capability in the operation of modern power plant. The PI and PID controllers are widely applied in cascade control of secondary superheated steam temperature process and the tuning method of PI and PID controller parameters is still a hot research area. A Nelder mead based optimization tuning scheme is developed for cascade control of superheater steam temperature process. It is an efficient and fast tuning scheme compared to other conventional tuning techniques. The mathematical model of the superheater is derived by sets of nonlinear partial differential equations. From the dynamical model of the superheater, a FOPTD (First order plus dead time model) model is derived using frequency response method. Then optimum gains for PI and PID controllers in the ...

INNOVATIVE TEACHING PRACTICES FOR 4G STUDENTS, Apr 8, 2019

Journal of Information and Optimization Sciences, 2020

Abstract The variation of Livestock physiological parameters such as stress level, rumination, bo... more Abstract The variation of Livestock physiological parameters such as stress level, rumination, body temperature has harmful effect in reproduction cycle and also causes diseases such as Mastitis, Milk fever, Lameness etc. Development of animal collar for monitoring the physiological parameters may help in better management of cattle diseases and reproduction cycle. The advantages of this system include simplicity, portability and inexpensive health care of livestock. The cattle surface body temperature was measured continuously for one day with an interval of one hour. The body temperature of the cattle measured using DHT11 sensor and mercury thermometer is compared and the average difference between the temperature measured using DHT11 sensor and mercury thermometer is 0.03°C indicating the feasibility of this method to monitor state of health of a cattle. With the temperature data and humidity data obtained from DHT11 sensor THI index is calculated and stress level of the cattle is predicted without using any sensor. The ADXL335 sensor is fixed under the collar near the left side of the mouth of the livestock to monitor rumination of cattle. This system is implemented in the Rangampet village, Chittoor district in Andhra Pradesh. The prototype of the collar based cattle health monitoring system shows that it is helpful for livestock farmers for recognizing various diseases accurately.

Indian Journal of Public Health Research & Development, 2018

Indonesian Journal of Electrical Engineering and Computer Science, 2016

A superheater is a vital part of the steam generation process in the boiler-turbine system. Relia... more A superheater is a vital part of the steam generation process in the boiler-turbine system. Reliable control of temperature in the superheated steam temperature system is essential to guarantee efficiency and high load-following capability in the operation of coal-fired Thermal power plant. The PI and PID controllers are extensively used in cascade control of secondary superheated steam temperature process. The design and implementation of a Model Predictive Control (MPC) strategy for the superheated steam temperature regulation in a thermal power plant is presented. A FOPTD model is derived from the dynamic model of the superheater. This model is required by the MPC algorithm to calculate the future control inputs. A new MPC controller is designed and its performance is tested through simulation studies. Compared with the superheater steam temperature control using a conventional PID controller, the steam temperature controlled by the MPC controller is found to be more stable. The stable steam temperature leads to energy saving and efficient plant operation, as verified by the simulation results.

2015 International Conference on Industrial Instrumentation and Control (ICIC), 2015

The transfer of heat to and from process fluids is a necessary part of most of the process contro... more The transfer of heat to and from process fluids is a necessary part of most of the process control applications. So the Heat Exchangers (HEs) are used widely and regularly in the process and allied industries and are very essential during design and operation. The most widely used type of heat exchangers are double pipe heat exchangers and shell-and-tube heat exchangers. Fuzzy Logic Controllers (FLC) have become popular in process control applications due to their capabilities of handling linearity and nonlinearity in process control systems. The common type of FLC's that have been preferred so far is Type-I FLC's. However, Type-1 FLC's cannot completely handle high levels of linguistic and numerical uncertainties [14], because Type-1 FLC's use precise Type-1 fuzzy sets and membership functions. The membership functions of Type-1 systems do not account for certain set of environmental and operating situations[15]. This can cause poor performance of FLC and it can result in poor control and inefficiency. Type-II FLC can model and handle the linguistic and numerical uncertainties associated with the inputs and outputs of the system [14, 15]. The extra degrees of freedom provided by the FOU (footprint of uncertainty) enables a Type-II FLC to produce outputs that cannot be achieved by the Type-1 FLC's with the same number of membership functions [14-19]. Here in this paper a comparative study of Temperature control of Double pipe heat exchanger system using Type-II Fuzzy Logic Controller and the PI controller tuned using Genetic algorithm is presented. A Type-II Fuzzy Logic Controller is designed using velocity function derived from the differential equations representing the output of a PI controller. Simulations are performed using a fifth order mathematical model of Double Pipe heat exchanger system[13]. The least value of Integral Time Weighted Absolute Error (ITAE) decides the best controller for Double Pipe heat exchanger System.

Materials Today: Proceedings

Abstract A similarity is made between the two DevOps architectures and their times. The distincti... more Abstract A similarity is made between the two DevOps architectures and their times. The distinction involves variations in automatic process times, process discrepancies and user experience variations. Throughout the processing times, although the DevOps platforms seem identical. This work demonstrates the configuration of a DevOps platform. The creation of a simple DevOps pipeline is also seen and how the automated functions operate inside the pipeline. In contrast to DevOps systems, the pipelines are built separately. The workflow and the cycle times are then measured in the automated pipelines. The process time data consists of two separate test sets, which also demonstrate how DevOps was developed, and what this means for the software developer. The workflow is also reflected in the DevOps processes. The Valamis Party uses all these platforms.