dayarnab baidya - Academia.edu (original) (raw)
Papers by dayarnab baidya
2022 IEEE International Conference on Flexible and Printable Sensors and Systems (FLEPS)
Flexible pressure sensors have gathered a wide interest among researchers for their wide applicat... more Flexible pressure sensors have gathered a wide interest among researchers for their wide applications in the healthcare, biomedical, automobile, soft-robotics, and aerospace industries. This work presents a PDMS-based capacitive pressure sensor that offers a high sensitivity of > 7 kPa-1 for low to medium pressure range (0 to 10 kPa). The introduction of hollow cylindrical cavities in the substrate body and microstructures into the sensor has demonstrated a considerable advantage over the conventional plane structures. The fabrication is performed using the 3D printed replica molding technique. The experimentally obtained sensitivities for sensors with different structural modifications such as the plane unstructured PDMS layer, PDMS layer with hemispherical microstructures of radii 500 µm, hemispherical structures along with hollow cavities are 0.5 kPa-1. 6.77 kPa-1 and 7.99 kPa-1 respectively. The sensor with hemispherical microstructures along with hollow cavities has shown 11.3 times superior sensitivity performance compared to the other and plane structure. The experimental results are found to be in agreement with the simulation studies. The proposed fabricated sensors with hemispherical microstructures along with hollow cavities can be used for highly sensitive measurements in biomedical applications.
PeerJ Computer Science
In this work, a novel fuzzy decision making technique namely trapezoidal fuzzy Best-Worst method ... more In this work, a novel fuzzy decision making technique namely trapezoidal fuzzy Best-Worst method (fuzzy BWM) is developed which is based on Best-Worst method (BWM) and Trapezoidal fuzzy number. The real motive behind our work is to take a broad view of the existing fuzzy BWM based on triangular fuzzy number by trapezoidal fuzzy number. Also, we have presented a new hybrid MCDM technique called as Trapezoidal fuzzy Best Worst Analytic Hierarchy based on proposed trapezoidal fuzzy BWM and existing trapezoidal fuzzy Analytic Hierarchy Process (AHP). BWM approach is employed in evaluating the PV of considering criteria and trapezoidal fuzzy AHP is used to assess the local priority vale (PV) of considering alternatives (or indicators) of a decision problem. Moreover it used to identify the most significant alternative which is responsible for performance efficiency of a hydro power plant under climatic scenario. From the result, it is undoubtedly found that hydraulic had is most responsi...
Advances in Communication, Devices and Networking
This investigation deals with the introduction of a noble dynamic fuzzy model reference adaptive ... more This investigation deals with the introduction of a noble dynamic fuzzy model reference adaptive control scheme. In this work, we propose a new model of MRAC using fuzzy control for the speed control of DC Motor. The starting of our work is done with the general comprehensive designing of MRAC for first-order process along with the second-order process using MIT Rule. After that, the description regarding our proposed model is given. For the evaluation of the performance of the controller, fuzzy-based MRAC is applied on DC Motor. The simulation results are compared with other controllers showing that the reaching time and tracking can be extensively reduced.
Neural Computing and Applications
In this investigation, we have put forward a novel multi-criteria decision-making (MCDM) techniqu... more In this investigation, we have put forward a novel multi-criteria decision-making (MCDM) technique, intuitionistic fuzzy best–worst method (intuitionistic fuzzy BWM). Moreover, we have designed a novel hybrid MCDM technique called intuitionistic fuzzy best–worst analytic hierarchy process (intuitionistic fuzzy BWAHP) which is the amalgamation of intuitionistic fuzzy BWM and analytic hierarchy process (AHP). In this study, BWM finds its use to evaluate the weightage (or priority value) of criteria, and using AHP, the local weights of alternatives are decided. The proposed technique is utilized to recognize the most significant alternative (or indicator), for the efficiency of a water treatment plant. Observing the result, it can be said that the ‘water quality’ is the most responsible alternative. The consistency ratio value which is found by our proposed method is less, compared to the existing BWM and fuzzy BWM techniques. Finally, using a comparative study and sensitivity analysis, we verify the findings produced by our proposed method.
2022 IEEE International Conference on Flexible and Printable Sensors and Systems (FLEPS)
Flexible pressure sensors have gathered a wide interest among researchers for their wide applicat... more Flexible pressure sensors have gathered a wide interest among researchers for their wide applications in the healthcare, biomedical, automobile, soft-robotics, and aerospace industries. This work presents a PDMS-based capacitive pressure sensor that offers a high sensitivity of > 7 kPa-1 for low to medium pressure range (0 to 10 kPa). The introduction of hollow cylindrical cavities in the substrate body and microstructures into the sensor has demonstrated a considerable advantage over the conventional plane structures. The fabrication is performed using the 3D printed replica molding technique. The experimentally obtained sensitivities for sensors with different structural modifications such as the plane unstructured PDMS layer, PDMS layer with hemispherical microstructures of radii 500 µm, hemispherical structures along with hollow cavities are 0.5 kPa-1. 6.77 kPa-1 and 7.99 kPa-1 respectively. The sensor with hemispherical microstructures along with hollow cavities has shown 11.3 times superior sensitivity performance compared to the other and plane structure. The experimental results are found to be in agreement with the simulation studies. The proposed fabricated sensors with hemispherical microstructures along with hollow cavities can be used for highly sensitive measurements in biomedical applications.
PeerJ Computer Science
In this work, a novel fuzzy decision making technique namely trapezoidal fuzzy Best-Worst method ... more In this work, a novel fuzzy decision making technique namely trapezoidal fuzzy Best-Worst method (fuzzy BWM) is developed which is based on Best-Worst method (BWM) and Trapezoidal fuzzy number. The real motive behind our work is to take a broad view of the existing fuzzy BWM based on triangular fuzzy number by trapezoidal fuzzy number. Also, we have presented a new hybrid MCDM technique called as Trapezoidal fuzzy Best Worst Analytic Hierarchy based on proposed trapezoidal fuzzy BWM and existing trapezoidal fuzzy Analytic Hierarchy Process (AHP). BWM approach is employed in evaluating the PV of considering criteria and trapezoidal fuzzy AHP is used to assess the local priority vale (PV) of considering alternatives (or indicators) of a decision problem. Moreover it used to identify the most significant alternative which is responsible for performance efficiency of a hydro power plant under climatic scenario. From the result, it is undoubtedly found that hydraulic had is most responsi...
Advances in Communication, Devices and Networking
This investigation deals with the introduction of a noble dynamic fuzzy model reference adaptive ... more This investigation deals with the introduction of a noble dynamic fuzzy model reference adaptive control scheme. In this work, we propose a new model of MRAC using fuzzy control for the speed control of DC Motor. The starting of our work is done with the general comprehensive designing of MRAC for first-order process along with the second-order process using MIT Rule. After that, the description regarding our proposed model is given. For the evaluation of the performance of the controller, fuzzy-based MRAC is applied on DC Motor. The simulation results are compared with other controllers showing that the reaching time and tracking can be extensively reduced.
Neural Computing and Applications
In this investigation, we have put forward a novel multi-criteria decision-making (MCDM) techniqu... more In this investigation, we have put forward a novel multi-criteria decision-making (MCDM) technique, intuitionistic fuzzy best–worst method (intuitionistic fuzzy BWM). Moreover, we have designed a novel hybrid MCDM technique called intuitionistic fuzzy best–worst analytic hierarchy process (intuitionistic fuzzy BWAHP) which is the amalgamation of intuitionistic fuzzy BWM and analytic hierarchy process (AHP). In this study, BWM finds its use to evaluate the weightage (or priority value) of criteria, and using AHP, the local weights of alternatives are decided. The proposed technique is utilized to recognize the most significant alternative (or indicator), for the efficiency of a water treatment plant. Observing the result, it can be said that the ‘water quality’ is the most responsible alternative. The consistency ratio value which is found by our proposed method is less, compared to the existing BWM and fuzzy BWM techniques. Finally, using a comparative study and sensitivity analysis, we verify the findings produced by our proposed method.