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Enhancement of Palm Leaf Manuscripts Images Using Deep SegNet Model 7

Enhancement of Palm Leaf Manuscripts Images Using Deep SegNe...

引用

2023 7th international conference On computing, communication, control And automation, ICCUBEA 2023

作者： Akhilesh, T.M. Sidharth Sankar, J. Rani, N. Shobha Bipin Nair, B.J. Amrita School of Computing Department of Computer Science Mysuru India

ISBN: (纸本)9798350304268

Preserving historical documents is crucial for protecting cultural heritage and ensuring that important information is accessible to future generations. Binarization is crucial in digitizing and restoring degraded manuscripts, particularly palm leaf manuscripts. It helps enhance quality by removing noise, improving contrast, and retaining text. This work proposes a semantic segmentation-based approach for binarizing palm leaf manuscripts using SegNet, a convolutional neural network architecture. Our approach accurately segments text from the background of the manuscript, enabling quality binarization. The suggested method demonstrated an accuracy of about 85% when testing was done on a dataset of palm leaf manuscript images. The method has significant implications for the preservation and digitization of historical documents as palm leaf manuscripts are vulnerable to degradation due to their fragile nature and age. By accurately binarizing palm leaf manuscripts, the approach can help to ensure that these valuable cultural artifacts are accessible to researchers and the public for years to come. © 2023 IEEE.

关键词： Binarization Decoder Encoder Manuscripts Relu SegNet

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Advancing control Paradigms in Heat-Integrated Distillation Columns: An MPC Perspective 29

Advancing Control Paradigms in Heat-Integrated Distillation ...

引用

29th international conference on automation and computing (ICAC)

作者： Tahir, Nura Musa Zhang, Jie Armstrong, Matthew Newcastle Univ Newcastle Upon Tyne Sch Engn Newcastle Upon Tyne NE1 7RU Tyne & Wear England

ISBN: (纸本)9798350360882;9798350360899

This paper presents a Model Predictive control (MPC) strategy to control the product compositions within a Heat-Integrated Distillation Column (HIDiC) for separating Benzene and Toluene. The controller was designed to maintain Benzene and Toluene compositions at desired setpoints of 99.5% and 0.5% respectively. The MPC controller is compared with a proportional integral (PI) controller tuned using the loop shaping method. Mean absolute error (MAE) and integral absolute error (IAE) were employed as performance indexes. The findings of this study unequivocally demonstrate the superior performance of the MPC controller over the traditional PI controller. A precise setpoint tracking with insignificant overshot was achieved for both the top and bottom compositions as is evident in the MAE and IAE values. Robust control and high purity separation was achieved, demonstrating potential for industrial implementations.

关键词： Distillation column heat integration heat integrated distillation column model predictive control composition control

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Cognitive computing in Customer Service automation

Cognitive Computing in Customer Service Automation

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2024 international conference on Innovative computing, Intelligent communication and Smart Electrical Systems, ICSES 2024

作者： Nagalakshmi, M.V.N. Charan, Y.V.N. Sai Sri Al-Tameemi, Ahmed Read Sabah, Hawraa Ali Al-Nussairi, Ahmed KatebJumaah Sawant, Reshma Rajendra S.R.M Institute of Science and Technology Faculty of Management Tamilnadu India Verizon Data Services Limited Department of Technology Telangana Hyderabad India Al-Nisour University College Department of Technology Nisour Seq. Karkh Baghdad Iraq College of Technical Engineering National University of Science and Technology DhiQar64001 Iraq Al-Manara College for Medical Sciences Amarah Iraq Modern College of Engineering Department of Mba Shivajinagar Pune India

ISBN: (纸本)9798331543617

The application of cognitive computing is revolutionizing the automation of customer service by utilizing cutting-edge artificial intelligence technology to improve interactions with customers. An investigation into the incorporation of cognitive computing into customer service platforms is presented in this research study. The paper focuses on the impact that this integration has on efficiency, personalization, and overall service quality. The study investigates how cognitive tools, like as natural language processing, machine learning, and sentiment analysis, automate mundane processes, deliver intelligent responses, and adapt to the specific requirements of individual customers. This is accomplished through a comprehensive investigation of existing technologies. Cognitive computing is beneficial in lowering operational costs, improving response times, and boosting customer happiness, as demonstrated by case studies and empirical data. The findings highlight the potential for cognitive computing to improve customer service by providing more dynamic and intuitive solutions compared to the standard automation methods currently in use. Towards the end of the study, recommendations are provided for the implementation of cognitive computing methods in customer service. These recommendations emphasize the necessity of ongoing innovation and adaptability to the ever-changing demands of customers. © 2024 IEEE.

关键词： Sales

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Design and Implement a Mesh Network communication for Smart Home automation 3

Design and Implement a Mesh Network Communication for Smart ...

引用

3rd international conference on Advance computing and Innovative Technologies in Engineering, ICACITE 2023

作者： Chaudhary, Pushkar Sharma, Jesika Gupta, Rakesh Kumar Aswani, Geetika Abes Engineering College Department of Electrical and Electronics Engineering U.P. Ghaziabad India Abes Engineering College Department of Orbit U.P. Ghaziabad India

ISBN: (纸本)9798350399264

This research paper presents a novel approach to smart home automation utilizing the ESP32, the Blynk app, and a manual switch. The system enables the control of 16 channel relays both online and offline while providing real-time tracking of their status. The Internet of Things (IoT) is a prominent research area in communication engineering, whereas wireless mesh networks, a long-standing network topology, remain underutilized. Mesh networks are widely employed in machine-to-machine communication and IoT devices as they facilitate local device-to-device communication without the need for a router. Many existing smart home automation systems face the challenge of decentralized connections, requiring repeated device connections for each room. This issue is particularly prominent in large houses or companies, making mesh networks an ideal solution. To address this gap, this paper introduces the application of mesh network technology in conjunction with the current IoT network. The system is designed, simulated, and implemented using cost-effective double-sided copper-clad flexible PCB substrates to achieve centralized control of automated devices. Experimental tests conducted with the fabricated PCB demonstrate real-time monitoring of connected appliances, as well as the collection of temperature and humidity data. © 2023 IEEE.

关键词： Internet of things

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Optimization of Data Rates in Channel Varying Mobile Ad-Hoc Networks: A Case Study 2

Optimization of Data Rates in Channel Varying Mobile Ad-Hoc ...

引用

2nd international conference on Recent Trends in Microelectronics, automation, computing, and communications Systems, ICMACC 2024

作者： Gangaprasad, G. Seetharamanjaneeyulu, B. Harsha, Theepan Sree Kumar, B. Sampath Mounika, G. Vignan's Foundation for Science Technology and Research Electronics and Communication Engineering Andhra Pradesh Guntur India

ISBN: (纸本)9798350366570

Optimizing data rates in mobile ad hoc networks (MANETs) is critical for ensuring robust network performance. This research focuses on leveraging the IEEE 802.11g standard's rate control feature, particularly considering a typical mobile ad-hoc network with moderate speed. The inherent dynamic nature of MANETs, characterized by fluctuating topologies and channel conditions, presents challenges in maintaining efficient data transmission rates. Our study contrasts two scenarios: one with the rate control feature enabled and another without it. In the rate control-enabled scenario, data rates are dynamically adjusted based on real-time channel conditions and node mobility, resulting in significant improvements in key network performance parameters, including throughput, packet delivery ratio and end-to-end delay. These improvements are evident across various node speeds. Conversely, the non-rate control scenario, with static data rates, fails to adapt to changing conditions, leading to suboptimal performance across these metrics. Simulation results demonstrate the superiority of the rate control-enabled approach, showing enhanced throughput, higher packet delivery ratios, and lower end-to-end delay. These findings highlight the critical importance of incorporating adaptive rate control mechanisms to achieve optimal data rates and maintain network performance in dynamic wireless environments with varying node speeds. An application use case for this research is in disaster recovery operations, where first responders rely on MANETs for real-time communication and coordination in environments with varying mobility and unpredictable network conditions. © 2024 IEEE.

关键词： Mobile ad hoc networks

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Role of Dynamic communication for IoT Devices 2

Role of Dynamic Communication for IoT Devices

引用

2nd international conference on automation, computing and Renewable Systems, ICACRS 2023

作者： Gaikwad, Nitesh Shiyamala, S. Department of Electronics and Communication Engineering Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Avadi-Vel Tech Road Vel Nagar Avadi Tamil Nadu Chennai600062 India

ISBN: (纸本)9798350340235

The use of microarchitecture has become increasingly widespread in various digital applications, resulting in significant improvements in device performance. In the realm of Internet of Things (IoT), a personalized processor can play a crucial role in enhancing communication performance. It's worth noting that IoT microarchitecture is typically designed for dynamic environments where it must effectively manage a multitude of concurrent tasks. However, a malfunctioning processor can lead to problems, such as increased energy consumption. Therefore, it's essential to have a comprehensive understanding of the advantages and disadvantages associated with microarchitecture when selecting processors. This research has laid the groundwork for a clear demonstration and exploration of the executive framework's pivotal role in IoT organizations. © 2023 IEEE.

关键词： adaptive connectivity Dynamic communication enhanced security event triggering Internet of Things real-time data exchange remote control scalability

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A Sensor-Driven Automated Hydroponic System for Optimized Plant Growth in Diverse Environments 3

A Sensor-Driven Automated Hydroponic System for Optimized Pl...

引用

3rd international conference on Intelligent and Innovative Technologies in computing, Electrical and Electronics, IITCEE 2025

作者： Joshitha, C. Ranga, Bobba Pandu Reddy, Bandi Harshini Nitin Koneru Lakshmaiah Education Foundation Department of Electronics and Communication Engineering Telangana Hyderabad500075 India

ISBN: (纸本)9798331515911

This research paper presents the design and implementation of an automated hydroponic system capable of managing both closed and open setups in indoor and outdoor environments. The system integrates sensors and microcontrollers to monitor, control, and display key parameters like temperature, humidity, Total Dissolved Solids (TDS) in the nutrient solution, water level, and pH. Through automated monitoring and control, it reduces the need for human intervention, ensuring optimal growth conditions and continuous plant health. The project is driven by the vision of enabling agriculture in any environment, regardless of geographical constraints. Hydroponics, a soil-less method of growing plants, forms the core of the system, allowing for cultivation beyond traditional soil-based farming. By applying these techniques, the system aims to overcome the limitations of conventional agriculture, enabling the growth of various plant species in diverse locations. Through the integration of microcontrollers and sensors, this automated hydroponic system ensures continuous monitoring and precise control of environmental conditions, significantly reducing the need for manual intervention. This research contributes to the advancement of agricultural technology by providing a sustainable solution to enhance food production while addressing the challenges faced by traditional farming. By leveraging automation and sensor technology, the system optimizes resource usage, reduces environmental impact, and empowers individuals to cultivate crops with minimal expertise. © 2025 IEEE.

关键词： Hydroponics

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Dysphonic Speech Reconstruction Using Machine Learning Approach 6

Dysphonic Speech Reconstruction Using Machine Learning Appro...

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6th international conference on computing, communication, control and automation, ICCUBEA 2022

作者： Rajeswari, P. Shankaraiah, N. S.J. College of Engineering Jss Science and Technology University Electronics and Instrumentation Mysore India S.J. College of Engineering Jss Science and Technology University Electronics and Communication Mysore India

ISBN: (纸本)9781665484510

The speech disordered persons will be in the position to produce hoarse speech. In this paper we focused to convert and reconstruct the hoarse speech to a normal speech by using mel frequency cepstral coefficients (MFCC). The extracted features are used to train cascaded Gaussian Mixture Model (GMM). The necessary speech data for the work is collected from speech impaired subjects. © 2022 IEEE.

关键词： Gaussian distribution

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Value-Based Reinforcement Learning for Digital Twins in Cloud computing 59

Value-Based Reinforcement Learning for Digital Twins in Clou...

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59th Annual IEEE international conference on communications (IEEE ICC)

作者： Van-Phuc Bui Pandey, Shashi Raj de Sant Ana, Pedro M. Popovski, Petar Aalborg Univ Dept Elect Syst Aalborg Denmark Robert Bosch GmbH Corp Res D-71272 Renningen Germany

ISBN: (纸本)9781728190549

The setup considered in the paper consists of sensors in a Networked control System that are used to build a digital twin (DT) model of the system dynamics. The focus is on control, scheduling, and resource allocation for sensory observation to ensure timely delivery to the DT model deployed in the cloud. Low latency and communication timeliness are instrumental in ensuring that the DT model can accurately estimate and predict system states. However, acquiring data for efficient state estimation and control computing poses a non-trivial problem given the limited network resources, partial state vector information, and measurement errors encountered at distributed sensors. We propose the REinforcement learning and Variational Extended Kalman filter with Robust Belief (REVERB), which leverages a reinforcement learning solution combined with a Value of Information-based algorithm for performing optimal control and selecting the most informative sensors to satisfy the prediction accuracy of DT. Numerical results demonstrate that the DT platform can offer satisfactory performance while reducing the communication overhead up to five times.

关键词： Networked control systems

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FSCM Quality control using Blockchain & IOT 8

FSCM Quality Control using Blockchain & IOT

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8th IEEE international conference on computing, communication, control and automation, ICCUBEA 2024

作者： Kadam, Amol Patil, Dhanashree V. Pawar, Vaibhav Mali, Mohan Chavan, Sandip Yadav, Prashant D. College of Engineering Pune India College of Engineering Pune India Bharati Vidyapeeth College of Engineering Department of Information Technology Navi Mumbai India Bharati Vidyapeeth Institute of Technology Department of Computer Technology Navi Mumbai India Bharati Vidyapeeth College of Engineering Department of Computer Engineering Navi Mumbai India College of Engineering Department of Mechanical Engineering Pune India

ISBN: (纸本)9798350391770

Globally, the issue of food safety is getting increasingly critical and alarming. In order to tackle this straining situation, people would require a reliable food traceability system that is capable of monitoring and supervising every stage of the food generation process, right from the planting and harvesting of raw food materials to the manufacturing, processing, transportation network & transit delivery, & enhanced storing facilities into the warehouse, as well as the selling procedure, as an effort to precisely solve the technical elements of food safety *** research stage aims to investigate food conditions and other numerous challenges experienced by transporters when selling fresh food by integrating the functioning of blockchain technology alongside the sensing processing of Internet of Things (IoT) devices with respect to the advancement of smart contracts, which are an example of the applications that blockchain offers to keep an eye on the record, as well as handling all stakeholder communications and transactions. All the transactions related to online technology can be verified with the use of IoT technology;whilst these activities are registered and subsequently stored into a centrally managed database structure. Faster food traceability is made possible using the advancement of Blockchain Technology, and this is anticipated for useful needs in complicated food supply chain management. These are some of the main significances of Blockchain technology to be adopted based on secured data processing of *** transactions related to stakeholders, IoT thus makes an affordable and safe FSCM system possible for Quality Food preservation. Stakeholders will have fresh options for implementing a more effective food safety management system given that the methods adopted within the information technologies, like data storage within centralized warehouses, IOT based communication combined with data science enhancement, like data mining, patte

关键词： Food storage

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