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The Future of Smart Factories: Real-Time Automation and Big Data Analytics on the Cloud 15

The Future of Smart Factories: Real-Time Automation and Big ...

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15th International Conference on Computing Communication and Networking Technologies, ICCCNT 2024

作者： Singh, K. Ranjith Arora, Arpit Goud, Dilip Ambika, Krovvidi S B Sandeep, V. More, Priyanka Karpagam Academy of Higher Education Department of Computer Science Coimbatore641021 India Chitkara University Institute of Engineering and Technology Chitkara University Punjab India NNRG Engineering College India ADITYA COLLEGE of ENGINEERING and TECHNOLOGY Department of CSE-AI&ML & DS Surampalem India School of Engineering and Technology Mechaical Engineering Karnataka Bangalore India Vishwakarma Institute of Technology Department of Computer Engineering Pune India

ISBN: (纸本)9798350370249

The evolving future of manufacturing will be all about intelligent factories featuring state-of-the-art technologies. Smart factories combine connected automation and big data in the cloud to streamline production, increase productivity, and lower operational costs. Real-time automation utilizes state-of-the-art sensors, internet of Things (IoT) devices, and artificial intelligence (AI) technology to monitor and control machines or processes in real time independently. This results in faster potential decision-making and bright maintenance works, thus decreasing downtime risk and increasing overall productivity. Big data analytics in the cloud enables real-time collection and analysis of extensive amounts of production processes, machine performance, and supply chain management-related information. The data can then be utilized to discover areas that need improvement, predict maintenance requirements, and even optimize the level of inventories in the sense that it would save costs while at the same time becoming more efficient. Also, real-time automation combined with significant cloud data analytics results in improved communication and collaboration from one production stage to another, hence smooth operations. In other words, it helps create an even more agile and adaptable manufacturing environment where processes can be fine-tuned on the fly to deal with dynamic market shifts. © 2024 IEEE.

关键词： Smart manufacturing

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A Multipath Routing Approach for Mobile Ad Hoc Networks with Network Coding 15

A Multipath Routing Approach for Mobile Ad Hoc Networks with...

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15th International Conference on Computing Communication and Networking Technologies, ICCCNT 2024

作者： Sujai, S. Tiwaskar, S.A. Thangarasu, N. Jain, Romil Preetha, M. Goyal, Shubhi School of Engineering and Technology Mechaical Engineering Karnataka Bangalore India Computer Engg Vishwakarma Institute of Technology Pune India Karpagam Academy of Higher Education Department of Computer Science Coimbatore641021 India Chitkara University Institute of Engineering and Technology Chitkara University Centre for Interdisciplinary Research for Business and Technology Punjab India Prince Shri Venkateshwara Padmavathy Engineering College Department of Computer Science and Engineering Chennai127 India Quantum University Research Center Quantum University India

ISBN: (纸本)9798350370249

Mobile advert hoc networks (MANETs) are self-organizing, infrastructure-less networks together with cellular nodes that talk with each other without delay over wireless links. In spite of the numerous benefits they offer, MANETs need more bandwidth and strength assets and numerous inherent obstacles such as route preservation price and transmission reliability. To address those issues, this paper gift a routing method based on multipath routing and community coding for MANETs. Multipath routing is based on packet-degree duplication to stabilize the traffic load among multiple paths to be had in the network. In contrast, network coding combines more than one packet at community interface nodes, which will increase throughput and reduce manipulation overhead when packets traverse intermediate nodes. The proposed routing method combines each of these techniques, which ends up in efficient and dependable information transmission, even as concurrently decreasing the stress on the network sources. The proposed approach changed into simulating the usage of an OMNeT++ simulator and evaluated in terms of shipping ratio and common stop-to-give-up postponement. The simulation outcomes confirmed that the proposed technique outperforms multipath routing without network coding and single-direction routing in phrases of delivery ratio and average end-to-give-up delay. © 2024 IEEE.

关键词： Infrastructure Manipulation Multipath Numerous Preservation Strength Technique

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Vehicular Network Security: Threats, Vulnerabilities and Countermeasures 15

Vehicular Network Security: Threats, Vulnerabilities and Cou...

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15th International Conference on Computing Communication and Networking Technologies, ICCCNT 2024

作者： Dhabliya, Dharmesh Thangarasu, N. Khurana, Shivam Raajini, X. Mercilin Goyal, Shobhit Arunkumar, D.T. Vishwakarma Institute of Technology Department of Information Technology Maharashtra Pune India Karpagam Academy of Higher Education Department of Computer Science Coimbatore641021 India Chitkara University Institute of Engineering and Technology Chitkara University Centre for Interdisciplinary Research for Business and Technology Punjab India Prince Shri Venkateshwara Padmavathy Engineering College Department of Electronics and Communication Engineering Chennai127 India Quantum University Research Center Quantum University India School of Engineering and Technology Mechaical Engineering Karnataka Bangalore India

ISBN: (纸本)9798350370249

Vehicular community protection (VNS) covers a diffusion of security measures to ensure the secure, cozy, and dependable operation of motors on the street. VNS is an essential software of the Internet of Things, and its safety features are critical in the prevention of injuries, intrusion, and malicious interference. Most of the prevailing VNS solutions depend on verbal exchange protocols, consisting of 802.11p and DSRC, with the purpose of shielding the integrity, privacy, and protection of the records transmitted in the network. However, there needs to be more comprehensive studies on the threats, vulnerabilities, and countermeasures associated with VNS. The primary threats to VNS encompass guy-in-the-middle assaults, spoofing, and denial-of-provider assaults. These attacks take advantage of vulnerabilities in the protection mechanisms that defend vehicular network verbal exchange and may lead to privacy breaches, lack of statistics, or maybe hijacking of the car. Capacity vulnerabilities include insufficient encryption and authentication of the information transmitted inside the vehicular community, lax authentication processes, vulnerable memory control, and inadequate access control. Furthermore, the multiplied connectivity of cars to the internet and the global Wi-Fi will increase the hazard from malware and other malicious code. © 2024 IEEE.

关键词： Authentication

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A Real-Time Communication Framework for Node Localization in WSN using Hyperbolic Least Square Estimation 4

A Real-Time Communication Framework for Node Localization in...

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4th IEEE International Conference on ICT in Business Industry and Government, ICTBIG 2024

作者： Gajendran, P. Baxi, Paramjit Valarmathy, A.S. Ojha, Varun Raghavendra Rao, P.S. Nawadkar, Ashwini Ranjit Karpagam College of Engineering Department of Electrical and Electronics Engineering Coimbatore641032 India Chitkara University Centre of Research Impact and Outcome Punjab Rajpura140417 India Prince Shri Venkateshwara Padmavathy Engineering College Department of Eee Chennai127 India Chitkara University Chitkara Centre for Research and Development Himachal Pradesh 174103 India School of Engineering and Technology Mechaical Engineering Karnataka Bangalore India Vishwakarma Institute of Technology Pune India

ISBN: (纸本)9798331518981

The method of positioning, localization, and geographic location in WSNs is investigated in this thesis. Anchor nodes, location-aware nodes with GPS, and nodes that are manually positioned during deployment make up the three main categories of sensor nodes that contribute to a WSN's scalability, which may go from tens to thousands. Common nodes that need localization techniques to be pinpointed are non-localized sensor nodes. The resolution at which localized nodes calculate the positions of other nodes varies with the use case. Time Difference of Arrival (TDOA) may be measured in two ways: first, by utilizing anchor nodes as a reference to identify sensor nodes;and second, by having the anchor nodes send RF signals to all of the nodes and then measuring the noisy TDOA. This thesis examines the surveillance configuration and TDOA, which factors in the time transformation of entrance and the speed of signal propagation in dry air, assesses the distances from transmitter sensor nodes to anchor nodes. Another way to find a sensor node's position is to set up a single node to communicate with the anchor nodes, and then use methods like triangulation, maximum likelihood estimation, and multiliterate to calculate its exact location. There is an impact on the sensor network lifetime and increased energy usage using this approach. © 2024 IEEE.

关键词： Sensor nodes

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Exploring Visibility-Based Shading Methods for Graphics and Visualization 15

Exploring Visibility-Based Shading Methods for Graphics and ...

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15th International Conference on Computing Communication and Networking Technologies, ICCCNT 2024

作者： Anandhasilambarasan, D. Seth, Kanika Aravind, Ar Goyal, Prakhar Kantharaj, I.K. Ingle, Yashwant S. Karpagam Academy of Higher Education Department of Computer Science Engineering Coimbatore641021 India Chitkara University Centre of Research Impact and Outcome Punjab Rajpura140417 India Prince Shri Venkateshwara Padmavathy Engineering College Department of Electronics and Communication Engineering Chennai127 India Quantum University Research Center Quantum University India School of Engineering and Technology Mechaical Engineering Karnataka Bangalore India Vishwakarma Institute of Technology Department of Artificial Intelligence & Data Science Pune India

ISBN: (纸本)9798350370249

Visibility-based shading techniques for laptop snapshots and Visualization can provide realistic and perceptual shading consequences with the aid of utilizing data from the scene's visibility shape. Those methods comprise visibility statistics to compute the approximate illumination of an object or scene, thinking about occlusion consequences from other objects. Visibility-based totally shading algorithms permit more practical actual-time renderings that extra accurately fit the way people perceive the illumination of scenes. Moreover, these techniques offer performance blessings over global illumination-based total methods, such as improved memory burden and faster computation instances, making them appropriate for plenty of applications. Popular visibility-based strategies, including ray casting and direct illumination, are based totally on the idea that each surface is ideally diffuse and homogeneous, which means their absorption and reflection coefficients are constant. To overcome this issue, a range of new techniques integrate visibility and physics-based total fashions, accounting for fabric homes (such as specular highlights) in the illumination computation. This combination of visibility and physics-based fashions can be, in addition, improved via incorporating mild shipping simulation strategies, inclusive of bidirectional reflectance distribution features and course tracing, to capture better and predict the rendering of actual international materials and surfaces. © 2024 IEEE.

关键词： Consequences Perceptual Rendering Shading Utilizing Visualization

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An Analysis of Image-Based Segmentation Algorithms for Computer Vision Applications 15

An Analysis of Image-Based Segmentation Algorithms for Compu...

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15th International Conference on Computing Communication and Networking Technologies, ICCCNT 2024

作者： Deepak, J. Deshmukh, Vishwesh Anandhasilambarasan, D. Kandhari, Harsimrat Jayashankari, J. Goyal, Shitij School of Engineering and Technology Mechaical Engineering JAIN Deemed to be University Karnataka Bangalore India Electrical Vishwakarma Institute of Technology Pune India Department of Computer Science Engineering Karpagam Academy of Higher Education Coimbatore641021 India Centre of Research Impact and Outcome Chitkara University Punjab Rajpura140417 India Department of Information Technology Prince Shri Venkateshwara Padmavathy Engineering College Chennai127 India Quantum University Research Center Quantum University India

ISBN: (纸本)9798350370249

— Photo-based totally segmentation algorithms are an important place in trendy research in laptop vision for an extensive variety of trendy applications together with item popularity, facial recognition, and autonomous navigation. Such algorithms normally hire strategies that contain reading pix to understand edges, shapes, and different features in the surroundings. By means of making use of these techniques, scene objects may be diagnosed and segmented into distinct parts, making an allowance for further analysis and programs. This paper discusses the development and packages of brand-new photograph-based segmentation algorithms, with an emphasis on algorithms based on pattern recognition and machine learning. Examples are supplied to illustrate the present-day country's contemporary art and provide insights into the destiny development of those algorithms. This analysis helps to discover capacity areas for development and provides a top-level view state-of-the-art the overall performance of present-day current algorithms. ©20XX IEEE.

关键词： Image segmentation

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Page Layout Analysis of Complex Document Images 15

Page Layout Analysis of Complex Document Images

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15th International Conference on Computing Communication and Networking Technologies, ICCCNT 2024

作者： Swarup, Lakshya Shalini, M. Chaudhary, Anisha Adarsha, H. Wanjale, Kirti H. Yuvaraj, K. Chitkara University Centre of Research Impact and Outcome Punjab Rajpura140417 India Prince Shri Venkateshwara Padmavathy Engineering College Department of Electronics and Communication Engineering Chennai127 India Quantum University Research Center Quantum University India School of Engineering and Technology Mechaical Engineering Karnataka Bangalore India Vishwakarma Institute of Technology Department of Computer Engineering Pune India Karpagam Academy of Higher Education Department of Computer Science Coimbatore641021 India

ISBN: (纸本)9798350370249

Page format evaluation of complex document pictures is the process of information on the shape of report pictures and extracting the visible content material inside them. General page format, text partitioning, and vicinity labeling, font identification. As an award, it may be used to enhance the functionality of record processing obligations, as well asal and optical character popularity. It provides automatic methods for parsing the layout of core components, such as text blocks, picspilt into files and tables, and mathematical formulas. The process of page layout evaluation retrieves actual relationships among visible items to understand the semantic content material of a document. A typical page layout analysis pipeline comprises low-level tasks, including image pre-processing and noise reduction, by mid-degree obligations such as textual content segmentation, place labeling, and taking location followed by the aid of font identity. Finally, the output we require is only created using higher-level duties such as table extraction and text monitoring. The synthesis of the two responsibilities allows for a greater understanding of page shape, enabling stepped-forward record retrieval and optical character recognition. Additionally, this can make documentation available in other zones, including summary records and page categorization. © 2024 IEEE.

关键词： Combination Evaluation Material Mathematical Responsibilities Segmentation

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Generative Adversarial Networks for 3D Scene Reconstruction 15

Generative Adversarial Networks for 3D Scene Reconstruction

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15th International Conference on Computing Communication and Networking Technologies, ICCCNT 2024

作者： Selvan, K. Senthamil Goyal, Samaksh Aravindan, M.K. Kulkarni, Omkaresh S. Yuvaraj, K. Vashisht, Nitish Prince Shri Venkateshwara Padmavathy Engineering College Department of Electronics and Communication Engineering Chennai127 India Quantum University Research Center Quantum University India School of Engineering and Technology Mechaical Engineering Karnataka Bangalore India Pune India Karpagam Academy of Higher Education Department of Computer Science Coimbatore641021 India Chitkara University Centre of Research Impact and Outcome Punjab Rajpura140417 India

ISBN: (纸本)9798350370249

Generative opposed Networks (GANs) are a generative model broadly utilized in device mastering, PC vision, and herbal language processing (NLP). GANs hire neural networks, a generator, and a discriminator that are trained collectively to be able to generate realistic-looking statistics, along with photographs, audio clips, or 3-D scenes. In this painting, we are aware of 3-D scene reconstruction using GAN-based total methods. We aim to generate 3-D scenes from given 2nd pics, allowing us to benefit from insight into the structure and layout of complicated 3-D environments. To this end, we endorse leveraging a method known as inverse rendering to enhance the accuracy of the reconstructed 3-D scenes. We compare our method to the usage of artificial and real-international images, and the effects display the efficacy of our approach. Finally, we talk about capacity destiny guidelines for three-D scene reconstruction and the usage of GAN-based total strategies. © 2024 IEEE.

关键词： Artificial Complicated Generative Mastering Photographs Rendering Strategies

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Examine the Impact of Visual Content when Used in Mixed Media Applications 15

Examine the Impact of Visual Content when Used in Mixed Medi...

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15th International Conference on Computing Communication and Networking Technologies, ICCCNT 2024

作者： Rajiv Gandhi, N. Goyal, Shitij Pattanaik, Ashutosh Tamkhade, Jayashree Kuppuraj, T. Pandey, Noopor Prince Shri Venkateshwara Padmavathy Engineering College Department of Civil Engineering Chennai127 India Quantum University Research Center Quantum University India School of Engineering and Technology Mechaical Engineering Karnataka Bangalore India E&TC Vishwakarma Institute of Information Technology Pune India Karpagam Academy of Higher Education Department of Computer Applications Coimbatore641 021 India Chitkara University Centre of Research Impact and Outcome Punjab Rajpura140417 India

ISBN: (纸本)9798350370249

Visible content in mixed media programs may have a large effect on its customers. By combining both visible and auditory elements, it permits users to have an extra immersive revel in terms of eating the content. Visible content material consisting of pics, films, diagrams, and so forth. It can all be used to in addition enhance enjoyment while used as a complement or number one source of records. Visuals can simplify complicated ideas and provide a less complicated way to navigate through products or services. It may be specifically useful in academic contexts. Moreover, visible content material can be used to increase Engagement via telling a story or thrillingly providing information. It helps create a connection between the consumer and the content material and makes the revel extra memorable. In the end, visuals can encourage user interplay with interactive elements along with buttons, menus, and bureaucracy, all of which can decorate the user experience. The use of visual content in combined media applications may have a full-size effect on the person's enjoyment. Through the incorporation of visuals, customers can benefit from a higher knowledge of the context and cause of the utility, in addition to an immersive experience that similarly complements the content material offered. © 2024 IEEE.

关键词： FORTH (programming language)

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Leveraging Big Data Analysis in Real-Time Automation for Improved Operational Efficiency

Leveraging Big Data Analysis in Real-Time Automation for Imp...

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International Conference on Computing and Networking technology (ICCNT)

作者： Beena Puthillath Mahmoud M.S. Albattah C Manjunath N.N. Wasatkar V.J. Vijayalakshmi Lokesh Verma Department of EEE Department of Civil Engineering School of Engineering Jordan University Department of Mechaical Engineering School of Engineering and Technology JAIN (Deemed to be University) Bangalore India Department of computer engineering Vishwakarma Institute of Technology Pune India Department of Electrical and Electronics Engineering Karpagam Academy of Higher Education Coimbatore India Chitkara University Institute of Engineering and Technology Chitkara University Punjab India

ISBN: (数字)9798350370249

ISBN: (纸本)9798350370270

This idea has redefined the practices of an organization and revolutionized business decision-making by harnessing extensive data analysis. With industries becoming increasingly complex and data-dependent, the demand for real-time automation has taken an immense upsurge to enhance operational efficiency. Real-time automation uses massive big data analysis to ensure that the continuous monitoring and analyzing of your crucial data takes place in real time, allowing you to make timely decisions based on facts. It is a type of automation that helps an organization recognize and act on issues or opportunities as soon as they occur in real time, shortening downtime due to potential problems while increasing productivity. Automating data collection, processing, and analysis lets organizations better understand their operations and spot trends, patterns, or even outliers that might not be visible, given how cumbersome the manual processes are. In practice, real-time automation simplifies the process to enhance operational efficiency with cost savings and time efficiencies through automated processes that eliminate manual tasks. It also makes organizations adjust quickly to changes in markets or customer requirements, thus making them agile and more competitive. Utilizing real-time automation with the help of extensive data analysis can boost companies’ competitive advantage by increasing their operational efficiency and decision-making capabilities.

关键词： Productivity Industries Automation Data analysis Consumer behavior Standards organizations Decision making Big Data Real-time systems Monitoring

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