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Urban Vertical Farming with IoT and Precision Monitoring for a Sustainable Future

Urban Vertical Farming with IoT and Precision Monitoring for...

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2025 international conference on Intelligent control, computing and Communications, IC3 2025

作者： Unni Krishnn, A. Dutt, Amit Singh, Jay Bhavana, Munugapati Baswaraju, Swathi Mohammed, Baydaa Fathil Venkatraman, Akila Galgotias university Department of Electrical Electronics & Communication Engineering Uttar Pradesh Gerater Noida203201 India Lovely Professional University Phagwara India Gl Bajaj Institute of Technology and Management Dept. of Eee U.P. Gr. Noida India Mlr Institute of Technology Department of Computer Science and Engineering Telangana Hyderabad India New Horizon College of Engineering Department of Computer Science-Data Science Bangalore India College of Medical Technology The Islamic University Radiology Techniques Department Najaf Iraq Griet Department of Information Technology Bachupally Telangana Hyderabad India

ISBN: (纸本)9798331527495

The fast expansion of population worldwide and urbanisation had been estimated to have 80 % of the population in urban areas in the upcoming 50 years leads to an exponential rise in demand of food. These needs provide an urgent call for developing novel approaches to achieve global food demands amid sustainability problems. Urban Vertical Farming (UVF) offers an attractive solution for growing crops in the vertical dimension of structures, the urban skyscrapers, where land use is limited. However, it is fairly limited research which applies the current state of art in cutting edge technologies such as the Internet of Things, to try to automate and monitor farm processing. Thus, in this review paper, gaps in existing research, the potential for IoT enabled vertical farming, as well as challenges such as energy use, economic feasibility and urban policy integration are examined. Vertical farming can be enhanced through resource efficiency, scalability and level of sustainability through the use of IoT systems and AI driven data analytics which will also help promote urban food security. The research gives a summary of the current state, technological capabilities, and potential way forward in the process of successful vertical farming implementation in urban sets. © 2025 IEEE.

关键词： Food security

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Performance Analysis of the Reduced Order Models of automatic Voltage Regulator (AVR) System

Performance Analysis of the Reduced Order Models of Automati...

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Intelligent control, computing and Communications (IC3), international conference on

作者： Ishita Uniyal Parvesh Saini Padmanabh Thakur Nikita Rawat Department of Electrical Engineering Graphic Era Hill University Graphic Era (Deemed to Be University) Dehradun Uttarakhand India Department of Project Management Asia Pacific International college Melbourne Victoria Australia Department of Electrical Engineering Graphic Era (Deemed to Be University) Dehradun Uttarakhand India

ISBN: (数字)9798331527495

ISBN: (纸本)9798331527501

The automatic Voltage Regulator (AVR) plays a unique role in the functioning of the electrical grid. The AVR's complexity stems from the fact that its transfer function is of a higher order. Therefore, the analysis of higher order AVR systems results in a challenging task. Hence, the lower order models of AVR have been developed and examined in this work. Pade's approximation, Big Bang Bing Crunch, and Particle Swarm Optimization are utilised to acquire reduced order models of the AVR system. In addition, the simplified AVR models have had a PID controller developed for them utilising both IMC and the conventional Tyreus-Lyuben (TL) techniques. Time response characteristics, stability margins, and performance indices have been evaluated between the TL-PID and IMC-PID controllers. Results from a comparison of the proposed PID controllers show that lower-order models of the AVR system function well in comparison to their higher-order counterparts.

关键词： Regulators Stability criteria Power system dynamics Transfer functions Power system stability Reduced order systems Complexity theory Performance analysis Time factors Particle swarm optimization

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AI-Powered 6G Networks: Transforming Wireless Communication with Intelligence and Terahertz Waves

AI-Powered 6G Networks: Transforming Wireless Communication ...

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2025 international conference on Intelligent control, computing and Communications, IC3 2025

作者： Singh, Navdeep Devi, Runumi Singh, Jay Rajalakshmi, B. Mohammed, Mohammed Wael Thandra, Nagarjuna Vidyadhari, Chalasanvi Lovely Professional University Phagwara India Galgotias university Department of Electrical Electronics & Communication Engineering Uttar Pradesh Gerater Noida203201 India Gl Bajaj Institute of Technology and Management Dept. of Eee U.P. Gr. Noida India New Horizon College of Engineering Department of Computer Science Engineering Bangalore India College of Medical Technology The Islamic University Radiology Techniques Department Najaf Iraq Mlr Institute of Technology Department of Computer Science and Engineering Telangana Hyderabad India Griet Department of Information Technology Bachupally Telangana Hyderabad India

ISBN: (纸本)9798331527495

From 2027 to 2030, Sixth Generation (6G) wireless communication systems are expected to be launched to revolutionize human and machine interaction with ultra fast data transmission speeds and low, or virtually zero latency communication. In this paper, we investigate the transformative potential of 6G networks enabled by AI, and describe key 6G network technologies, including artificial intelligence (AI), machine learning (ML), and sub miiitter wave technology. In addition to being able to exceed 5G Maximum Throughput (MT), 6G is forecast to enable advanced applications including holographic communications, XR (extended reality), and ubiquitous M2M (machine to machine) interaction. Although significant obstacles remain with respect to security, energy efficiency, and spectrum management. In this paper, 5G development existing gaps are identified, and a comprehensive AI driven framework for resource allocation, latency reduction, and spectrum utilization optimization is proposed for 6G systems. This study further explores the position of edge computing, IoT integration, and AI powered network security protocols. Finally, we demonstrate real world applications, such as smart healthcare, autonomous vehicles, and space communications, discussing privacy and sustainability aspects of 6G technology. © 2025 IEEE.

关键词： Resource allocation

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PIL Environment to Validate Wind Turbine IEC61131-Based Real Time controllers on Digital Twins 16th

PIL Environment to Validate Wind Turbine IEC61131-Based Real...

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16th APCA international conference on automatic control and Soft computing, controlO 2024

作者： Martínez-Inchusta, A. Santos-Peñas, M. Sierra-García, J.E. Peñacoba, M. Computer Engineering Department Complutense University of Madrid Madrid28040 Spain Institute of Knowledge Technology Complutense University of Madrid Madrid28040 Spain Department of Digitalization University of Burgos Burgos09006 Spain

ISBN: (纸本)9783031817236

control systems are crucial for the proper performance of different devices. Some applications, such as wind turbines, sometimes require complex controllers to achieve maximum efficiency. This leads to a demand for verification and validation techniques that minimize potential risks during the implementation phase on the final device, with the associated high costs. One approach to this checking is the processor-in-the-loop (PIL) validation method, which runs the control software on the physical hardware and communicates it with the virtual model, all in real time and deterministically. PIL techniques can be combined with digital twins (DTs) to improve validation procedures and ensure that the control software runs within the required processing times (validating the hardware) and that the outputs are correct and take the system to its target state (validating the control software). In this work, a PIL-DT architecture is proposed to validate real-time controllers programmed in the IEC61131 standard using any commercial PC and virtual models simulated with Simulink Desktop Real-Time®. The architecture allows the control program to be deployed on the virtual or real controller in order to control the virtual or real plant, without any modification. This ensures the same behavior between the virtual controller and the real one. The proposal has been successfully tested with a wind turbine pitch controller as a use case. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Proportional control systems

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Evaluating Electric Vehicle Charging Impacts on Distribution Grid Stability and Efficiency Through Adaptive Load Management Strategies

Evaluating Electric Vehicle Charging Impacts on Distribution...

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2025 international conference on Intelligent control, computing and Communications, IC3 2025

作者： Janakiraman, V. Ahmad, Sabbir Revathi, V. Dutt, Amit Rani, K.Pushpa Al-Rubaye, Taqi Mohammed Khattab Bobba, Phaneendra Babu Galgotias university Department of Electrical Electronics & Communication Engineering Uttar Pradesh Gerater Noida203201 India University Polytechnic Jamia Millia Islamia Department of Electronics Engineering F/O Engineering & Tech India New Horizon College of Engineering Department of Applied Sciences Bangalore India Lovely Professional University Phagwara India Mlr Institute of Technology Department of Computer Science and Engineering Telangana Hyderabad India College of Medical Technologies The Islamic University Department of Medical Laboratory Technology Najaf Iraq Griet Department of Eee Telangana Hyderabad India

ISBN: (纸本)9798331527495

The high growth rates of the EV market create complex issues for distribution grids, forcing a detailed examination of grid responses at high rates of EV deployment. This paper seeks to elucidate the effects of EV charging on the distribution grid stability With this, the impact of the pod on voltage fluctuations, line load, and power loss is assessed using the IEEE 37-bus system. Load patterns of EV charging stations are consequently simulated successfully by a number of real and statistically created synthetic data sources, which truly represent averaged fluctuations in load. The study looks at several charging methods of the EV, such as time of use and smart charging, to determine their impact on the grids. Furthermore, the utilization of renewable energy sources for improving the aspects of grid reliability is explored. Regarding performance aspects related to the expansion of widespread EV charging and the efficiency of the applied measures for grid stabilization, the results of this study offer beneficial information. © 2025 IEEE.

关键词： Electric buses

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Computer Vision Based Quality control for Molding Injection Machines 19th

Computer Vision Based Quality Control for Molding Injection...

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19th international conference on Soft computing Models in Industrial and Environmental Applications, SOCO 2024

作者： Moreno, Ramón García, Oscar Del Río Cristobal, Miguel Shankar Muthuselvam, Revanth María Sanjuan, José Vallejo, Andrés Wang, Ting Department of Advanced Manufacturing 4.0 Antolin Engineering Burgos Spain Instituto Tecnológico Catilla y Leon Burgos Spain College of Electrical Engineering and Control Science Nanjing Tech University and Southeast University Nanjing China

ISBN: (纸本)9783031750090

This paper presents a comprehensive study on the application of computer vision, specifically Convolutional Neural Networks (CNNs), for quality control in automotive interior manufacturing using Injection Molding Machines (IMMs). Despite the high precision and productivity of IMMs, a small percentage of defects persist. Addressing this, the paper compares four popular CNN algorithms—ResNet-50, SegNet, FCN, and PSPNet—on their ability to detect and analyze defects in post-manufacturing. The study outlines the advantages of IMMs, the challenges in defect management, and the potential of CNNs to revolutionize quality control processes. Experimental results demonstrate the efficacy of these algorithms, paving the way for enhanced quality management and reduced defect rates in the automotive sector. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Convolutional neural networks

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Enhancing Strategic Marketing with AI-Driven Insights into Dynamic Preferences and Decision Patterns

Enhancing Strategic Marketing with AI-Driven Insights into D...

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2025 international conference on Intelligent control, computing and Communications, IC3 2025

作者： Raj, Vijilius Helena Shubhra Al-Rubaye, Taqi Mohammed Khattab Siri, Dharmapuri Sirisha, N. Dutt, Amit New Horizon College of Engineering Department of Applied Sciences Bangalore India Galgotias university Department of Electrical Electronics & Communication Engineering Uttar Pradesh Gerater Noida203201 India College of Medical Technologies The Islamic University Department of Medical Laboratory Technology Najaf Iraq Griet Department of Cse Bachupally Telangana Hyderabad India Mlr Institute of Technology Department of Computer Science and Engineering Telangana Hyderabad India Lovely Professional University Phagwara India

ISBN: (纸本)9798331527495

Once AI begins gathering client data, the marketing sector will alter drastically. This research uses sophisticated AI technologies to better understand how complex client behaviors might be. We examine pricing solutions, including social media mood monitoring, joint filtering algorithms for targeted marketing, and reinforcement learning-based dynamic pricing. Neural networks are being investigated for application in e-commerce predictive analytics and predicting subscription cancellations. This research examines clustering algorithms' performance to see whether they may be utilized for cross-channel marketing activities, including consumer segmentation and credit modeling. The article concludes by examining how virtual reality is affecting shop advertising and marketing. The study's findings encompass AI-powered marketing strategies' applications, advantages, and drawbacks. AI helps marketing, according to the findings. Businesses may improve their strategy, communicate with consumers, and meet client needs using this information. © 2025 IEEE.

关键词： Marketplaces

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A Novel Approach for Bridging the Gap Between SDN and MITRE for Agile Incident Response 5th

A Novel Approach for Bridging the Gap Between SDN and MITRE ...

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5th international conference on computing and Network Communications, CoCoNet 2023

作者： Jimmington, Anjana Alfas Hakeem, P. Mukherjee, Preetam Thampi, Sabu M. Connected Systems and Intelligence Lab School of Computer Science and Engineering Digital University Kerala Technopark Phase IV Kerala Thiruvananthapuram India

ISBN: (纸本)9789819745395

The growing complexity of potential attacks in network infrastructure demands advanced incident response (IR) techniques. With organization adopting the Software-Defined Networks the response capabilities can be improved to a greater extend. SDN’s centralized control is utilized in this process. However the lacking of a list of possible defense mechanisms in the SDN, effects the swift respondence against the occurrence of a security incident. To address this challenge, we studied the MITRE D3FEND knowledge base, which provides various standard defense mechanisms. Later, within the knowledge base the defense mechanisms that can be implemented in SDN were identified. A valid list of possible implementable defense mechanisms in SDN was created. With the help of the developed implementer tool ANTq, which runs on top of the Ryu controller the suggested MITRE defense mechanisms were automatically implemented. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Cyber attacks

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16th APCA international conference on automatic control and Soft computing, controlO 2024

16th APCA International Conference on Automatic Control and ...

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16th APCA international conference on automatic control and Soft computing, controlO 2024

ISBN: (纸本)9783031817236

The proceedings contain 63 papers. The special focus in this conference is on automatic control and Soft computing. The topics include: Hamiltonian View of Finite Dimensional Quantum Mechanics;necessary Optimality Conditions for a Weak Minimum in control Problems with Non-regular Mixed Constraints;Pedestrian Safety Crosswalks in Smart Cities: The VALLPASS Approach;data Entry Errors Detection for Industrial Quality control Variables Using Data-Driven Models;optimal Management of Systems Based on Multifunctional Elements;a Double Layer control Method for Sustainable Agricultural Production Management in a Competitive Market;comparison of Two Numerical Methods for Riemannian Cubic Polynomials on Stiefel Manifolds;a Note on the Minimal of Crisis Problem: A Multiprocess Approach;fixed Point Theory Analysis of a Lambda Policy Iteration with Randomization for the Ćirić Contraction Operator;geodesic Flow for the Statistical Transformation Model of Multivariate Normal Distributions;endpoint Geodesic Formulas for the Special Euclidean Group;on Minimum-Dispersion control of Nonlinear Diffusion Processes;a Parameter Estimation Process for Improved Drug Infusion;identification of control Law and Trajectory for Mobile Disturbance Rejection in a 2D Thermal Context;a Family of Metrics and Quasi-geodesics on the Manifold of Essential Matrices;synergistic Offshore Energy Harvesting: Advancements in Hybrid Semisubmersible Floating Wind Turbines with Oscillating Water Columns;sensitivity Analysis for Optimal control: Application to an Irrigation Problem;a Hybrid Learning-Based Path Planning Algorithm for Enhanced Safety in Autonomous Robots;laser Engraving for 3D Surfaces: A Robotized Application Case Study;implementation of a Water Level control System Using Programmable Logic controller with Remote Access;abstraction Based Safety for Markov Decision Processes;Comparison of Mode Selection and Reconstructions Obtained by DyCA and DMD with Respect to Noise Robustness and Sampling;Compar

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Trajectory Tracking control of Three-Degree-of-Freedom Articulated Robot Manipulator Using Neural Network controller 11th

Trajectory Tracking Control of Three-Degree-of-Freedom Artic...

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11th EAI international conference on Advancement of science and Technology, ICAST 2023

作者： Tegegne, Tsehaynesh Mulusew Hailu, Wubie Engdew Lemma, Lebsework Negash Faculty of Electrical and Computer Engineering Bahir Dar Institute of Technology Bahir Dar University Bahir Dar Ethiopia Addis Ababa University Addis Ababa Ethiopia

ISBN: (纸本)9783031641503

Articulated robot manipulators are commonly used in industrial settings due to their ability to execute complex movements and handle heavy loads. To ensure successful task completion, it is crucial to have precise trajectory tracking control for these manipulators. However, the manipulator’s dynamics are highly complex and nonlinear. Additionally, the manipulator’s performance is significantly affected by unknown disturbances. To overcome these, a neural network controller (NNC) is utilized to achieve the desired trajectory. The NNC possesses the ability to learn and adapt to complex and nonlinear systems. To train the NN, data from a PID controller is collected under two conditions: normal condition and with external torque disturbance. The NN is trained using the nntool Matlab toolbox. The proposed NNC’s robustness is analyzed by introducing an external torque disturbance. The controller’s performance is evaluated using metrics root mean square error (RMSE) and integral absolute error (IAE). The results demonstrate that the proposed controller is effective in external disturbance rejection. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Disturbance rejection

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