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

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

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International Conference on Computing and Networking technology (ICCNT)

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

ISBN: (数字)9798350370249

ISBN: (纸本)9798350370270

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.

关键词： Productivity Cloud computing Automation Costs Supply chains Companies Big Data Real-time systems Intelligent sensors Smart manufacturing

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Optimizing Indoor Air Quality with IoT and Sensor-Based Solutions: A Case Study of Office Buildings

Optimizing Indoor Air Quality with IoT and Sensor-Based Solu...

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Automation and Computation (AUTOCOM), International Conference on

作者： Kanika Seth Sandeep V Manisha Pavan Chaudhary Mithhil Arora Dhirendra Nath Thatoi Chitkara Centre for Research and Development Chitkara University Baddi Himachal Pradesh India School of Engineering and Technology Mechaical Engineering JAIN (Deemed to be University) Bangalore Karnataka Department of Electronics and Communication Engineering Sathyabama Institute of Science and Technology Chennai Tamil Nadu India Maharishi School of Engineering & Technology Maharishi University of Information Technology Uttar Pradesh India Centre of Research Impact and Outcome Chitkara University Rajpura Punjab India Department of Mechanical Engineering Siksha ‘O’ Anusandhan (Deemed to be University) Bhubaneswar Odisha India

ISBN: (数字)9798331542375

ISBN: (纸本)9798331542382

The stall of indoor air can affect people's health, productivity, and overall well-being. In office buildings through IAQ, health consequences can include the onset of respiratory problems, fatigue, and higher rates of sick leave. Today, publics use a considerable quantity of their stage in these indoor surroundings. Workplaces have seen an increasing demand for IAQ optimization over the years a Case Study Demonstrating How IoT and Sensor-Based Solutions Bring IAQ into Focus in Office Buildings Open Access. MDPI The study took place at a large commercial office building with poor IAQ resulting from improper ventilation and air filtration. The building has a network of air quality sensors that monitor and record various factors, including temperature, humidity, CO2 levels, and particulate matter. The central control system received this data in real time and interpreted it to adjust the building's ventilation and filtration systems. Results of the study confirmed a remarkable enhancement in IAQ, a decrease in CO2 levels, and a reduction in the concentration of particulate matter, followed by an increase in overall air quality. Alternatively, it improved the energy efficiency of the building as HVAC systems could also operate more effectively, saving money for the maintenance of the host building.

关键词： Temperature sensors Productivity Temperature measurement Temperature Filtration Buildings Ventilation Real-time systems Sensors Remote monitoring

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Vehicular Network Security: Threats, Vulnerabilities and Countermeasures

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

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International Conference on Computing and Networking technology (ICCNT)

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

ISBN: (数字)9798350370249

ISBN: (纸本)9798350370270

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.

关键词： Prevention and mitigation Authentication Process control Privacy breach Malware Routing protocols Encryption Automobiles Protection Wireless fidelity

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

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

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International Conference on Computing and Networking technology (ICCNT)

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

ISBN: (数字)9798350370249

ISBN: (纸本)9798350370270

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.

关键词： Wireless communication Telecommunication traffic Network coding Routing Throughput Ad hoc networks Encoding Delays Reliability Mobile computing

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Wearable Biosensors for Continuous Monitoring of Cardiovascular Health

Wearable Biosensors for Continuous Monitoring of Cardiovascu...

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Automation and Computation (AUTOCOM), International Conference on

作者： Adarsha H Prabhu Ankita Agarwal Anoop Dev Bubun Kumar Mohanta Prateek Garg School of Engineering and Technology Mechaical Engineering JAIN (Deemed to be University) Bangalore Karnataka India Department of Electronics and Communication Engineering Presidency University Bangalore Karnataka India Maharishi School of Engineering & Technology Maharishi University of Information Technology Uttar Pradesh India Centre of Research Impact and Outcome Chitkara University Rajpura Punjab India Department of Computer Science and Engineering Siksha ‘O’ Anusandhan (Deemed to be University) Bhubaneswar Odisha India Chitkara Centre for Research and Development Chitkara University Baddi Himachal Pradesh India

ISBN: (数字)9798331542375

ISBN: (纸本)9798331542382

Wearable biosensors have revolutionized cardiovascular health monitoring. These body-fitted, continuous devices monitor a host of vital signs, including heart rate, blood pressure and oxygen levels. Such real-time monitoring will help detect and take prompt action in case the patient is at any risk of cardiac issues, further leading to a better quality of life and reducing serious illnesses. The non-invasive characteristic is one major benefit of wearable biosensors, as they can be worn day long very comfortably and easily. It also prevents the need for regular or emergency doctor visits and hospitalizations while saving money from healthcare bills with continuous monitoring as well. The biosensors are connected to a Smartphone or monitoring platform, helping healthcare professionals move the patient out of the tracking marquee area. This enables tailored and preventive care by allowing for instant correction of any anomalies. Aside from monitoring, wearable biosensors may play an important part, too. They can be integrated through other devices and also accurate health systems. How do they work? Biosensors for heart, \wearable's provide unprecedented convenience, accuracy and personalization\nor promoting and monitoring human cardiovascular health. The ability to continuously monitor patients in real-time has the potential to improve patient outcomes and transform health care significantly.

关键词： Heart rate Accuracy Medical services Transforms Real-time systems Blood pressure Biosensors Biomedical monitoring Monitoring Wearable sensors

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The Role of Cyber-Physical Systems in Revolutionizing Transportation: From Connected Cars to Autonomous Vehicles

The Role of Cyber-Physical Systems in Revolutionizing Transp...

引用

Automation and Computation (AUTOCOM), International Conference on

作者： Anilloy Augustine Frank Trapty Agarwal Divya Sharma Arup Kumar Dutta Shikhar Gupta Aravindan M K Department of Electronics and Communication Engineering Presidency University Bangalore Karnataka India Maharishi School of Engineering & Technology Maharishi University of Information Technology Uttar Pradesh India Centre of Research Impact and Outcome Chitkara University Rajpura Punjab India Department of Computer Science and Engineering Siksha ‘O’ Anusandhan (Deemed to be University) Bhubaneswar Odisha India Chitkara Centre for Research and Development Chitkara University Baddi Himachal Pradesh India School of Engineering and Technology Mechaical Engineering JAIN (Deemed to be University) Bangalore Karnataka India

ISBN: (数字)9798331542375

ISBN: (纸本)9798331542382

Cyber-physical systems have technologically advanced the transportation industry with their ability to connect physical systems with virtual functions. A cyber-physical system uses real-time data generation and communication technologies to make transportation systems safer, more efficient, more sustainable and more reliable. Connected cars are one of the primary use cases of CPS in transportation. They utilize sensors, cameras, and internet connectivity to capture information regarding road conditions, traffic patterns, and other drivers on the road. This information is then communicated to the backend system for analysis and decision-making to enhance safety or alleviate traffic congestion. It has also contributed towards developing independent vehicles. They employ ACH and CPS technologies to drive on roads driving without the need for human intervention. This could lead to a huge reduction in human error-related accidents and improve the efficiency of transportation. CPS also helps build smart transportation systems or link multiple modes of transport to escape congestion and reduce travel time. For example, it involves the integration of different modes of transportation, such as public transit, ride-sharing services and self-driving cars, to minimize travel time while maximizing usage. CPS has revolutionized the transport sector into a more connected, effective and secures system.

关键词： Technological innovation Connected vehicles Roads Transportation industry Transportation Cyber-physical systems Traffic control Smart transportation Traffic congestion Accidents

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The Role of Sensors in Autonomous Vehicles and its Impact on Smart Transportation Systems

The Role of Sensors in Autonomous Vehicles and its Impact on...

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Automation and Computation (AUTOCOM), International Conference on

作者： Aneesh Wunnava Hitesh Kalra Ashutosh Pattanaik S. Lalithakumari Rakesh Kumar Yadav Lalit Khanna Department of Electronics and Communication Engineering Siksha ‘O’ Anusandhan (Deemed to be University) Bhubaneswar Odisha India Chitkara Centre for Research and Development Chitkara University Baddi Himachal Pradesh India School of Engineering and Technology Mechaical Engineering JAIN (Deemed to be University) Bangalore Karnataka Department of Electrical and Electronics Engineering Sathyabama Institute of Science and Technology Chennai Tamil Nadu India Maharishi School of Engineering & Technology Maharishi University of Information Technology Uttar Pradesh India Centre of Research Impact and Outcome Chitkara University Rajpura Punjab India

ISBN: (数字)9798331542375

ISBN: (纸本)9798331542382

Once at the forefront of a transformation in the transportation industry, autonomous vehicles have all but disappeared from our collective discourse. Most autonomous vehicles depend on sensors to detect what is around and make some decisions without human interference. Sensors are paramount in functioning AVs since they give real-time information regarding the vehicle's location, rate, and surrounding objects. The sensors here are for all purposes; some use cameras, while others use lidar, radar, and several ultrasonic sensors. Combining both gives the vehicle a 360-degree view and helps it maneuver safely through even the most complex environments. AV-cum-smart transport systems can help improve traffic flow and road safety and increase overall transportation efficiency. Sensors are critical to harnessing these benefits and allow the AVs to work by way of other vehicles or organization, such as circulation signals and road ciphers. This communication gets dynamic route planning so that the time of travel and fuel can be saved. Nevertheless, several challenges remain to be addressed with sensor reliability under any conditions; however adverse, they may still face serious opposition and cybersecurity. Further research and development in the area of sensor technology are imperative to bring AVs into common use, as well as for using smart transportation systems effectively.

关键词： Transportation industry Cameras Sensor systems Road safety Smart transportation Reliability Computer security Vehicle dynamics Intelligent sensors Autonomous vehicles

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Epilepsy Detection Through EEG Signal Classification Using Machine Learning Methods

Epilepsy Detection Through EEG Signal Classification Using M...

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International Conference on ICT in Business Industry & Government (ICTBIG)

作者： Vivek Deshpande P. Gajendran Varun Ojha Latha B Ishika Soni Arunkumar D T Department of Computer Engineering Vishwakarma Institute of Technology Pune India Department of Electrical and Electronics Engineering Karpagam College of Engineering Coimbatore Centre of Research Impact and Outcome Chitkara University Rajpura Punjab India Department of IT Prince Shri Venkateshwara Padmavathy Engineering College Chennai Chitkara Centre for Research and Development Chitkara University Himachal Pradesh India School of Engineering and Technology Mechaical Engineering JAIN (Deemed to be University) Bangalore Karnataka India

ISBN: (数字)9798331518981

ISBN: (纸本)9798331518998

In this exertion demonstrates the application of a deep learning algorithm to the analysis of focal and non-focal EEG data for the finding of epilepsy. This research presents a strategy for automating the diagnosis of epilepsy by making use of a soft computing resource. By using the ANFIS classification technique, focal and non-focal samples may be distinguished. Structures computation, features classification, and features transformation are the three pillars upon which this technique rests. For an electroencephalogram (EEG) data, the Approximate and Directional bands are produced when the suggested NSCT is used. NSDF and Non-Subsampled Pyramid Filter are the two main components of this NSCT. These fall into two categories: low pass, which includes power frequencies, and high pass, which includes high frequency noise. To do this, we construct directed subbands and reroute the high-pass signal using NSDF. Step two of decomposition involves creating high and low frequency sub bands by passing the low pass sub band signal via the Non-Sub Sampled Pixel Frequency (NSPF). The directed sub bands that are created are achieved by retransmitting the high-frequency sub band signal via NSDF. Using the statistical properties obtained from these sub-bands, the ANFIS classification method divides the overall EEG signal into focal and non-focal samples. Applying the proposed method to a collection of EEG signal extraction measurements allows for validation.

关键词： Deep learning Analytical models Time-frequency analysis Sensitivity Noise Epilepsy Pattern classification Brain modeling Electroencephalography Data models

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Using IoT and Sensor technology for Precision Agriculture: Opportunities and Challenges

Using IoT and Sensor Technology for Precision Agriculture: O...

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Automation and Computation (AUTOCOM), International Conference on

作者： Deepak J Rameshbabu A Shweta Singh Romil Jain Bharat Jyoti Ranjan Sahu Jatin Khurana School of Engineering and Technology Mechaical Engineering JAIN (Deemed to be University) Bangalore Karnataka Department of Electrical and Electronics Engineering Sathyabama Institute of Science and Technology Chennai Tamil Nadu India Maharishi School of Engineering & Technology Maharishi University of Information Technology Uttar Pradesh India Centre of Research Impact and Outcome Chitkara University Rajpura Punjab India Centre for Cyber Security Siksha ‘O’ Anusandhan (Deemed to be University) Bhubaneswar Odisha India Chitkara Centre for Research and Development Chitkara University Baddi Himachal Pradesh India

ISBN: (数字)9798331542375

ISBN: (纸本)9798331542382

Precision agriculture's purpose is to increase crop yield and reduce wastage at different optimization levels during farming practices. It provides farmers with detailed information about their crops, soil and weather conditions, enabling them to make better decisions on resource allocation. It has also changed the game by collating data from soil moisture sensors, weather stations and crop yield monitors and processing this massive amount of data to bring some meaning that does justice to its promise. Armed with this data, farmers can examine it and identify precise areas of their farms that require more or less water, fertilizer, or pesticides. Triangles like that can mean more bang for your buck translation: fewer chemicals, greater produce and smaller footprint. Some challenges need to be addressed before this technology can be successfully adopted. Notably, high installation and maintenance costs of sensors, Poor availability of broadband for remote or rural areas, and Data privacy & security concerns. The use of IoT and sensor technology is an interesting opportunity for farmers to increase efficiency as well as productivity in the process of precision agriculture.

关键词： Precision agriculture Temperature sensors Temperature measurement Productivity Sensors Security Monitoring Farming Meteorology Fertilizers

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Sensor Fusion Techniques for Accurate Indoor Tracking in IoT-Based Smart Environments

Sensor Fusion Techniques for Accurate Indoor Tracking in IoT...

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Automation and Computation (AUTOCOM), International Conference on

作者： S. Krishnakumar Kalyan Acharjya Shivam Khurana Rakesh Ranjan Swain Sourav Rampal Manjunath C Department of Biomedical Engineering Sathyabama Institute of Science and Technology Chennai Tamil Nadu India Maharishi School of Engineering & Technology Maharishi University of Information Technology Uttar Pradesh India Centre of Research Impact and Outcome Chitkara University Rajpura Punjab India Centre for Cyber Security Siksha ‘O’ Anusandhan (Deemed to be University) Bhubaneswar Odisha India Chitkara Centre for Research and Development Chitkara University Baddi Himachal Pradesh India School of Engineering and Technology Mechaical Engineering JAIN (Deemed to be University) Bangalore Karnataka

ISBN: (数字)9798331542375

ISBN: (纸本)9798331542382

Sensor fusion integrates data from multiple sensors to provide a more accurate, reliable, and contextual sense of the surrounding environment. So, it became a key method for correct monitoring in battery-dependent Internet of Things clever environments, especially Indoor tracking. There is only one dedicated sensor. To benefit the most from it and surround these weaknesses in complex indoor environments with wrongness. The sensor fusion methods for accurate indoor tracking in IoT-based Smart Environments are proposed to solve the problems above by integrating data from multiple sources, including Wi-Fi APs and BLE beacons, RFID readers, and IMUs. This results in a more complete and detailed view of the environment crucial for location-based applications such as asset tracking, localization, or navigation within smart buildings. There are many algorithms to fuse sensor data. The algorithms process the sensor data and give a fused result that outperforms all of these individual components. Sensor fusion in IoT-based smart environments improves indoor tracking accuracy, robustness, and scalability. It also permits real-time tracking localization of objects and people; it is the key to optimally managing smart environments. The sensor fusion method generally improves indoor tracking properties in the rapidly growing IoT-based smart environments.

关键词： Location awareness Accuracy Smart buildings Tracking Fuses Sensor fusion Indoor environment Internet of Things Wireless fidelity Smart phones

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