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4th IEEE International Conference on Sustainable Energy and Future Electric Transportation, SEFET 2024

作者： Sandesh, R.S. Santhosh, K.V. Manipal Institute of Technology Manipal Academy of Higher Education Department of Instrumentation and Control Engineering Manipal India

ISBN: (纸本)9798350383997

To reduce red light violations (RLVs) among connected vehicles (CVs) and enhance safety near traffic signal intersections, collaborative efforts involving universities, governments, and automakers have been made. Within the context of CVs, the concept of vehicles in platooning (ViP) has emerged. In ViP, a cluster of vehicles communicates with one another, sharing critical information such as speed and braking. This coordinated exchange allows them to maintain close spacing and relatively high speeds. However, ViP encounters a common challenge: the failure to promptly recognize the transition from yellow to red signals, leading to violations. Our research addresses Scenario-1: allowing electric vehicles in a platooning system to pass through an intersection during traffic signal changing from green to yellow. To achieve this, we employ Wi-Fi as the communication medium. Additionally, both the electric vehicles and the roadside unit (RSU) utilize myRIO to exchange crucial data on speed and time. Furthermore, our work delves into two specific RLVWs: RLVWY-ACC/DEAC and RLVWY-AVG-Speed. The experimental results confirm the system's efficacy, with average latencies of 0.200 seconds and 0.202 seconds in the respective cases, thus validating Wi-Fi as a suitable communication medium for RLVW applications. © 2024 IEEE.

关键词： Wi-Fi

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Machine Learning-Based Prediction of PV Power Considering Dust and Environmental Factors 4

Machine Learning-Based Prediction of PV Power Considering Du...

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4th IEEE International Conference on Applied Electromagnetics, Signal processing, and Communication, AESPC 2024

作者： Nanda, Saksham Tomar, Anuradha Kumar, Hritik Netaji Subhas University of Technology Department of Electrical Engineering Delhi India Netaji Subhas University of Technology Department of Instrumentation & Control Engineering Delhi India

ISBN: (纸本)9798331528171

Solar energy is one of the most important forms of renewable energy for generating electricity. The efficiency of Photovoltaic (PV) panels that produce electricity depends on the continuously changing weather parameters like dust, wind speed, wind direction, ambient temperature, module temperature, relative humidity and most importantly the solar irradiation. The dust particles in the atmosphere, like the other weather parameters, is also changing continuously and plays a major role in reducing the sunlight on the PV panels by scattering, absorbing or reflecting the incoming sunlight. This leads to reduced efficiency in the production of electricity and consequently the DC power generated from the PV panels will be less. This paper aims to build a model using machine learning algorithms to predict the output DC power due to the dust (PM 2.5 and PM 10 concentrations are considered in the dataset), wind speed, wind direction, the ambient temperature of the region where the PV panels are placed, the module temperature, the relative humidity. Using this dataset, a random forest model (by implementing a machine learning algorithm known as the Random Forest Algorithm) was developed and implemented. This model achieved a mean absolute error (MAE) of 482.02 Watts and an R-squared score of 0.873 and can be used to achieve optimized performance and efficient energy conversion of PV systems. © 2024 IEEE.

关键词： Photovoltaics

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Scenario-2: Platooning Vehicles will Not Pass the Intersection, Relative Position and Timing Analysis

Scenario-2: Platooning Vehicles will Not Pass the Intersecti...

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2024 IEEE International Conference on Vehicular technology and Transportation Systems, ICVTTS 2024

作者： Sandesh, R.S. Santhosh, K.V. Manipal Academy of Higher Education Manipal Institute of Technology Department of Instrumentation and Control Engineering Manipal India

ISBN: (纸本)9798350355512

The concepts of connected automotive vehicles (CAVs) and intelligent transport systems (ITS) facilitate the sharing of information between vehicles and infrastructure. In CAVs, vehicles moving in close proximity and at higher speeds, termed vehicles in platooning (ViP), exchange speed, braking, and other necessary information through vehicle-to-vehicle communication (V2V). The exchange of this information between vehicles and infrastructure, known as vehicle-to-infrastructure (V2I) communication, is also integral. When ViP approaches a traffic intersection at a certain speed and fails to recognize traffic signals, red light violation warning (RLVW) is triggered. This research addresses scenario-2 in the RLVW application, where ViP are at the edge of the decision region and will not pass through the intersection as the traffic signal changes from green to green-amber. Crucial data related to speed, braking, and traffic signals are exchanged between myRIO units placed in electric vehicles and myRIO units acting as roadside units (RSUs). Specific conditions related to scenario-2 RLVW application are investigated by considering the relative movement and timing analysis of ViP. Experimental simulation research has validated Wi-Fi as an effective and efficient communication medium for future studies. © 2024 IEEE.

关键词： Traffic signals

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Sleep Apnea Classification Using KNN 1

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2nd International Conference on Intelligent Computing Systems and Applications, ICICSA 2023

作者： Kamath, Surekha Department of Instrumentation and Control Engineering Manipal Institute of Technology Manipal Academy of Higher Education Manipal India

ISBN: (数字)9789819754120

ISBN: (纸本)9789819754113

Sleep is a state of reduced mental and physical activity, in which consciousness is altered. And all the sensory activity is stopped to certain extent. Maintenance of good sleep is very essential for each individual. Nowadays, diseases related to sleep are very common among the population due to individual living styles and stress related disorder. One such sleep disorder among them is obstructive sleep apnea (OSA), in which an individual experiences difficulty in breathing. Delayed or improper detection of this disorder can cause serious health issues. This work explains the classification of sleep apnea using K-nearest neighbor algorithm using various features. The proposed work is to extract the statistical features such as mean, median, standard deviation and mean square error of ECG signal to detect the abnormal pauses in breathing during sleep apnea period. Classification of sleep stages can be performed using K-nearest neighbor classifier. The KNN classifier was found to work with an accuracy of 95%. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Sleep research

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Fuzzy-based metaheuristic algorithm for optimization of fuzzy controller:fault-tolerant control application

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International Journal of Intelligent Computing and Cybernetics 2022年第4期15卷 599-624页

作者： Himanshukumar Rajendrabhai Patel Department of Instrumentation and Control Engineering Faculty of TechnologyDharmsinh Desai UniversityNadiadIndia

Purpose-Fuzzy-based metaheuristic algorithm is used to optimize the fuzzy controllers for the nonlinear level control system subject to uncertainty specially in the main actuator that has lost effectiveness(LOE).To optimize the fuzzy controller,type-1 harmonic search(HS)and interval type-2(HS)will be ***/methodology/approach-The type-1 and type-2 fuzzy-based HS algorithms are designed for optimization of fuzzy controllers for Fault-Tolerant control(FTC)applications,and this research proposes a fuzzy-based HS metaheuristic *** performance of a fuzzy logic-based HS algorithm applied to a nonlinear two-tank level control process with a main actuator that has lost effectiveness(LOE)and also the same controller will be tested on DC motor angular position control with and without ***-The key contribution of this work is the discovery of the best approach for generating an optimal vector of values for the fuzzy controller’s membership function *** is done in order to improve the controller’s performance,bringing the process value of the two-tank level control process closer to the target process value(set point).It is worth noting that the type-1 fuzzy controller that has been optimized is an interval type-2 fuzzy system,which can handle more uncertainty than a type-1 fuzzy ***/value-The type-1 and type-2 fuzzy-based HS algorithms are designed for optimization of fuzzy controllers for FTC applications,and this research proposes a fuzzy-based HS metaheuristic *** performance of a fuzzy logic-based HS algorithm applied to a nonlinear two-tank level control process with a main actuator that has LOE will be tested on DC motor angular position control with *** nonlinear uncertain processes are used to demonstrate the effectiveness of the proposed control scheme.

关键词： Harmonic search algorithm Fuzzy controller Type-2 fuzzy systems Fuzzy sets

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Power Management and Power Quality control in Hybrid Unified-MIMO System Based Microgrid

Power Management and Power Quality Control in Hybrid Unified...

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2024 IEEE Region 10 Symposium, TENSYMP 2024

作者： Verma, Akash Deep Gaur, Prerna Tomar, Anuradha Netaji Subhas University of Technology Instrumentation & Control Engineering Department Delhi India Netaji Subhas University of Technology Electrical Engineering Department Delhi India

ISBN: (纸本)9798350364866

Low voltage next-generation unified multi-input multi-output (U-MIMO) system-based AC-DC microgrids (MGs), equipped with distributed renewable resources (DERs), significantly contribute to sustainable development by offering reliable, decentralized and scalable electricity. It alleviates the burden on the main grid and promotes socio-economic development. However, challenges persist in power management, power quality and the high installation costs of battery management systems (BMS). To address these issues, this study introduces a modified hybrid U-MIMO system to optimize MGs. This system provides an all-weather synchronized solution, integrating multi-located PV nanoarrays and single-phase grid supply as multi-input sources for AC-DC multi-output loads with a bi-directional BMS. Grid interaction reduces the required battery capacity and thus lowers installation costs. The modified U-MIMO system enhances power management by accounting for BMS state of charge (SOC) and power generation from DERs. This study uses a single-phase induction motor and a rectifier with inductive load as non-linear AC loads, while an EV battery serves as the DC load. Multi-control structures within the hybrid U-MIMO system ensure a constant DC bus voltage, adhering to IEEE 519 standards. A comprehensive analysis with two modes and one scenario demonstrates effective power management, synchronization and power quality control, validating the system's capability to support diverse loads and applications efficiently. © 2024 IEEE.

关键词： Induction motors

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Flow Rate Optimization of a Parabolic Trough Solar Collector Using Multi-objective Genetic Algorithm 2nd

Flow Rate Optimization of a Parabolic Trough Solar Collector...

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2nd International Congress on Advances in Mechanical and Systems engineering, CAMSE 2021

作者： Goel, Anubhav Verma, Om Prakash Manik, Gaurav Department of Polymer and Process Engineering Indian Institute of Technology Roorkee Roorkee India Department of Instrumentation and Control Engineering Dr. B R Ambedkar National Institute of Technology Jalandhar Jalandhar India

ISBN: (纸本)9789811921872

Due to the rising greenhouse gas emissions and high energy prices, it is now more important than ever to use renewable energy sources in various applications. Parabolic trough solar collector (PTSC) converts solar energy to thermal energy and can serve applications like power generation, industrial process heat, desalination, etc. Optimization of governing process parameters for such a system can improve its efficiency and increase its share in different applications. Heat transfer fluid (HTF) flow rate is one of the critical parameters in the working of PTSC. The current study investigates the impact of HTF flow rate on the efficiency of PTSC and estimates the optimal flow rate for a specific system and at a certain temperature. It is revealed that despite increased pumping efforts, increasing the flow rate above a critical value did not guarantee an increase in system performance. This highlighted that an optimum mass flow rate value should be determined that maintains acceptable thermal efficiency while requiring least pumping effort. The value of optimal flow rate has been computed using a multi-objective genetic algorithm (MOGA). The best compromise solution identified after a diligent Pareto front analysis was observed at HTF flow rate = 11.34 m3/h with pump work = 0.66 W and thermal efficiency = 73.08%. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Genetic algorithms

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Exploring Energy-Efficient Design: Analysis and Comparison of Protocols for Wireless Sensor Networks

Exploring Energy-Efficient Design: Analysis and Comparison o...

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International Conference on Robotics, control, Automation and Artificial Intelligence, RCAAI 2023

作者： Kamath, Kirthi Sandesh, R.S. Singh, Vikash Santhosh, K.V. Department of Instrumentation and Control Engineering Manipal Institute of Technology Manipal Academy of Higher Education Manipal India

ISBN: (纸本)9789819746491

The design of wireless sensor networks (WSNs) presents considerable challenges due to their constrained energy operations, limited transmission ranges, processing constraints, buffer limitations, bandwidth-restricted connections, dynamic network topologies, and specific traffic patterns. The primary function of WSNs is to amass data through sensor nodes, transmit it to a designated collection node, and find utility across diverse applications. This investigation offers a comprehensive examination of diverse approaches and their application in conserving energy within WSNs. Furthermore, it undertakes a comparative assessment of distinct characteristics and design methodologies concerning energy-efficient WSN protocols suitable for various applications. In essence, the research presents an overview of protocols employed by GAEEC, RMER, LEACH, and UWSN, among others. The study also emphasizes the outcomes of numerous protocols concerning metrics such as packet delivery ratio, throughput, energy consumption, and power usage. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Sensor nodes

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Relief Facility Locations Using P-median Weight Minimax Model

Relief Facility Locations Using P-median Weight Minimax Mode...

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2024 IEEE International Conference on Industrial engineering and engineering Management, IEEM 2024

作者： Ayudhya, Wichitsawat Suksawat Na Instrumentation and Control Engineering Department School of Engineering King Mongkut’s Institute of Technology Ladkrabang Bangkok10250 Thailand

ISBN: (纸本)9798350386097

Thailand's eastern seaboard is the fastest growing area because of several export economic zones. However, this region historically encountered flood problems because of the Monsoon season and urbanization. To be proactive, the authority must plan to locate relief facilities in advance. Hence, we deployed the P-median weight Minmax model with historical population data in flood areas to decide the relief facility locations. We also investigated three contingency plans where 1) we determined relief facilities from our model, 2) we assigned the number of relief facilities according to the population, and 3) we investigated the contingency plan to determine alternative relief locations when some districts are not suitable. We tested our model with 2015, 2016, 2017, 2018, and 2019 data. © 2024 IEEE.

关键词： Supply chain management

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Vehicle Platooning-System design, Objectives, Simulation and Field testing

Vehicle Platooning-System design, Objectives, Simulation and...

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2024 IEEE International Conference on Automation and Computation, AUTOCOM 2024

作者： Sandesh, R.S. Santhosh, K. Manipal Institute of Technology Manipal Academy of Higher Education Department of Instrumentation and Control Engineering Manipal India

ISBN: (纸本)9798350382723

Recent technological advancements and communications that have evolved in the last decade have motivated new research on vehicle platooning (VP), thus contributing to traffic efficiency, safety, fuel reduction and carbon emissions. The experimental setup consisted of myRIOs, a customized electric car and a two-wheeler, LabVIEW environment. The initial experimental results are simulated by placing two myRIOs at a distance of 5 m, after which the average latency is estimated. Similarly, these two myRIOs are placed in an electric car or two-wheeler, respectively. The electric car is moved 5 m, and latencies are calculated in a similar way. The simulation results and field test results conducted in this work demonstrate the effectiveness of myRIO in VP applications. The average latency obtained from the simulation when both myRIOs are placed at 5 m is 0.2052 s, and from the field test, the average latency is found when two vehicles are at a distance of 5 m is 0.233s, thus drawing the conclusion thus, Wi-Fi can be considered a communication medium for vehicle platooning applications. © 2024 IEEE.

关键词： Vehicles

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