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Big Data Infrastructures Using Apache Storm for Real-Time Data Processing

Big Data Infrastructures Using Apache Storm for Real-Time Da...

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

作者： Ranganathan, Chitra Sabapathy Sampathrajan, Rajeshkumar Reddy, P. L. Kishan Kumar Parkavi, S. Meenakshi, B. Sujatha, S. Mphasis Corporation Tamil Nadu Chennai India McKinsey & Company Fort WorthTX United States Department of Computer Science and Engineering Andhra Pradesh Guntur India Vel Tech High Tech Dr. Rangarajan Dr. Sakunthala Engineering College Department of Computer Science and Engineering Tamil Nadu Chennai India Sri Sairam Engineering College Department of Electrical and Electronics Engineering Tamil Nadu Chennai India Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Saveetha University Department of Biomedical Engineering Tamil Nadu Chennai India

ISBN: (纸本)9798331527495

Apache Storm-based Big Data infrastructures strive to provide a scalable and fault-tolerant platform that will transform real-time data processing. The goal is to use Apache Storm's features to handle and analyze massive amounts of data in real-time, guaranteeing correct insights that are delivered promptly. The objective is to provide a solid foundation that can manage data moving at high speeds from many sources, allowing for analytics in real-time and continuous computing. The goal is to maximize throughput while reducing delay via architectural optimization and efficient data flow methods. The goal is to improve Apache Storm's capabilities and make sure data processes smoothly across dispersed systems by combining it with other big data technologies. The end goal is a robust system that can provide analytics on data in real-time, which will aid in decision-making across several industries, including banking, telecoms, and social media. Efficiency, scalability, and dependability in managing massive data streams are key considerations. The data flow topology dataset for 5 distinct components and 5 streams shows throughput values ranging from 2500 to 4100 tuples per second. Similarly, the fault tolerance and reliability dataset for 5 distinct nodes and 5 different intervals shows throughput values ranging from 700 to 1050 tuples per second. All these results are derived from real-time sensor data used for traffic monitoring. © 2025 IEEE.

关键词： Large datasets

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The Intersection of Algorithms, Automata Theory, and Formal Languages in Computational Theory

The Intersection of Algorithms, Automata Theory, and Formal ...

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

作者： Kumar, Avneesh Awasthy, Neeta Jose, A. Sujin Ramesh, Gajula Gupta, Manish Srinija, K. Najm, Rusul Galgotias university Department of Electrical Electronics & Communication Engineering Uttar Pradesh Gerater Noida203201 India Gl Bajaj Group of Institutions Department of Computer Science and Engineering U.P Mathura India New Horizon College of Engineering Bangalore India Griet Department of Cse Bachupally Telangana Hyderabad India Lovely Professional University Phagwara India Mlr Institute of Technology Department of Computer Science and Engineering Telangana Hyderabad India College of Medical Technology The Islamic University Radiology Techniques Department Najaf Iraq

ISBN: (纸本)9798331527495

Initially, the FLAGS methodology and a concise study schedule are presented. Combining automata and formal grammars, FLAGS has revolutionized computational theory. SAA, GSTA, and GAGD comprise the last three numerals of FLAGS. They exhibit greater adaptability, productivity, and the generation of novel ideas more frequently when they collaborate. GSTA guides the development of the automaton's real-time state through the use of formal language grammars. This results in a comprehensive and precise computational model. Official language signals are appended to the robot's orthography by the SAA. Text can be represented by flags in an extensive variety of arrangements. In order for FLAGS to function in computer and innovative language environments, AGDE modifies formal language standards to accommodate computer requirements. FLAGS is more innovative, adaptable, and practicable than six well-known approaches, according to the study's findings. Values of the Language Harmony Index (LHI) may be utilized to assess the productivity of FLAGs. It evaluates the compatibility and performance of various linguistic forms when combined. The abstract emphasizes the influence of FLAGS on computational theory. Through the integration of structured languages, computer science, and automata theory, this one-of-a-kind method produces results. This approach revolutionizes linked learning due to its computer-friendly nature and utilization of the target language. © 2025 IEEE.

关键词： Turing machines

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Emotion Driven Generative Systems for Enhancing Creative Expression Through Technology

Emotion Driven Generative Systems for Enhancing Creative Exp...

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

作者： Chandrashekar, Rakesh Nagpal, Amandeep Sengar, R.S. Albawi, Ali Sravanthi, Jajimoggala Sirisha, N. Agrawal, Komal New Horizon College of Engineering Bangalore India Lovely Professional University Phagwara India Gl Bajaj Group of Institutions Department of Electrical & Electronics Engineering Mathura India College of Medical Technology The Islamic University Radiology Techniques Department Najaf Iraq Griet Department of Cse Bachupally Telangana Hyderabad India Mlr Institute of Technology Department of Computer Science and Engineering Telangana Hyderabad India Galgotias university Department Of Electrical Electronics & Communication Engineering Uttar Pradesh Gerater Noida203201 India

ISBN: (纸本)9798331527495

EmoVisArt drastically changes how artists express themselves and employ new tools. This innovative technique creates a dynamic creative experience using powerful algorithms like Emotion Recognition (ER), Generative Art Synthesis (GAS), and Interactive Art Adaptation (IAA). EmoVisArt outperformed conventional approaches in several key areas in our study. EmoVisArt promoted creativity, which is crucial to artistic expression. This method is unique since it can adapt its art to the audience's mood. Machine learning enabled gorgeous and emotionally compelling art. EmoVisArt, a blend of art and technology, displayed innovative innovations. The ER software understood facial expressions well owing to convolutional neural networks. This let the system detect and respond to user emotions. This approach is more sophisticated than prior ones. The IAA algorithm, which enables viewers update their entries in real time, makes EmoVisArt notable for interactivity. By connecting art and users dynamically, this interactive aspect improved the art experience. Traditional techniques struggle for response and engagement. EmoVisArt affected people's emotions due to emotion recognition. By adapting to audience emotions, EmoVisArt creates a personal connection. EmoVisArt's deep grasp of emotions let it stand out and show its potential to alter creativity. © 2025 IEEE.

关键词： Convolutional neural networks

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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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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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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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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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LQR Based control Strategies for DFIG-Based Wind Energy System 16th

LQR Based Control Strategies for DFIG-Based Wind Energy Sys...

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

作者： Boukili, Yassine Aguiar, A. Pedro Faculty of Engineering SYSTEC-ARISE Research Center for Systems and Technologies University of Porto Porto4200-465 Portugal

ISBN: (纸本)9783031817236

In the realm of distributed energy resources, Doubly-Fed Induction Generator (DFIG)-based Wind Energy Systems are pivotal technologies. However, integrating them into the grid poses challenges like ensuring Low Voltage Ride Through capability and enhancing energy quality. Advancing DFIG control techniques is crucial to address these challenges. This study provides a customized Linear Quadratic Regulator (LQR) control mechanism along with gain scheduled strategy, applied on a state equation model for the DFIG’s Rotor-Side Converter. Stability results are presented. The results demonstrate the effectiveness of the proposed controller in the presence of noise compared to LQR with fixed gain. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Equations of state

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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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Application of Indirect Methods to Optimal control Problems in Epidemiology 16th

Application of Indirect Methods to Optimal Control Problem...

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

作者： Caio, Pedro Silva, Cristiana J. Department of Mathematics University of Aveiro Aveiro3810-193 Portugal Department of Mathematics ISTA Iscte - Instituto Universitário de Lisboa Av. das Forças Armadas Lisboa1649-026 Portugal

ISBN: (纸本)9783031817236

Currently most of the numerical resolution of optimal control problems is done using direct methods where the increase accuracy of indirect methods is overshadowed by the necessary analytical derivation required beforehand. With recent developments from the control-toolbox ecosystem team the application of indirect methods as become more streamline enabling a wider range of problems to be solved, like, for example, optimal control problems applied to the transmission of infectious diseases. In this work, we aim to extend the application of indirect methods to optimal control problems applied to epidemiological models, using the control-toolbox [25]. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Malaria control

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