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International Conference on Computing and Networking technology (ICCNT)

作者： Shubham Verma Anuj Kumar Sharma Tushar Sandhan Department of Mechatronics Centre For Advanced Studies AKTU Lucknow India Department of Electrical Engineering Institute of Technology Kanpur India

ISBN: (数字)9798350370249

ISBN: (纸本)9798350370270

The detection and pose estimation of markers are increasingly crucial across various domains, including human-robot interaction, UAV navigation, robotic grasping, and underwater navigation and many more. This paper evaluates the robustness of two prominent fiducial markers ArUco and Fractal marker, under diverse environmental conditions. These conditions include static and dynamic platforms, varying light intensity, occlusion, reflection, distortion, and detection through glass medium and many other situations considering the area of both markers identical. Detection rates for all conditions were calculated for each marker by analyzing the proportion of detected frames out of approximately 1800 total frames per condition. The study reveals that Fractal markers outperform ArUco markers. They demonstrate faster detection, greater resilience to occlusion, better resolution handling, and consistent performance across multiple scenarios. These findings suggest that Fractal marker could significantly enhance the reliability and efficiency of marker based detection systems in complex real-world applications. The dataset will be made accessible to the general public, facilitating additional investigation and verification of the conclusions reported in this work.

关键词： Accuracy Pose estimation Glass Autonomous aerial vehicles Distortion Fractals Reflection Robots Resilience Drones

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Development of QOS Aware Spectrum Access Algorithm for Different Radio Access Techniques (RATS)

Development of QOS Aware Spectrum Access Algorithm for Diffe...

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Intelligent Technologies (CONIT), International Conference on

作者： M Monisha S Vinoth Kanna S Deepak Department of Electronic and Communication Engineering Vels Institute of Science Technology and Advanced Studies (VISTAS) Chennai Tamil Nadu India

ISBN: (数字)9798350349900

ISBN: (纸本)9798350349917

The paper introduces a novel approach to spectrum sensing within cognitive radio systems, proposing the utilization of sub-Nyquist sampling for wideband spectrum sensing to achieve substantial reductions in sample rates without compromising detection accuracy. Employing a subspace estimator, the method discerns occupied and unoccupied channels by analyzing the correlation matrix derived from limited noisy samples. Spectrum sensing, a critical task in cognitive radio, faces challenges due to varying conditions between major user signals and background noise. Leveraging statistical covariances of received signals and noise enables the differentiation between the two. Through comparative analysis utilizing the sample covariance matrix, the paper evaluates spectrum sensing techniques, offering insights into improving detection capabilities amidst dynamic and noisy environments. This research addresses a significant challenge in cognitive radio, providing valuable contributions to the field.

关键词： Wireless sensor networks Quality of service Robustness Sensors Radio access technologies Cognitive radio Noise measurement

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Internet of Things (IOT) based Smart Nebulizer System

Internet of Things (IOT) based Smart Nebulizer System

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Electronics and Sustainable Communication Systems (ICESC), 2020 International Conference on

作者： R. GOWTHAM R. CHANDRASEKARAN HARENDHARAN. B SAI AMRUTHA INAKOLLU Vels Institute of Science Technology & Advanced Studies Chennai Sri Venkateswara College of Engineering Chennai Parul University Vadodara

ISBN: (数字)9798350379945

ISBN: (纸本)9798350379952

The prevalence of asthma and other respiratory diseases is increasing due to continuous inhalation of contaminated air. To address this issue, an IoT-based smart nebulizer has been developed with advanced features to aid individuals suffering from chronic pulmonary conditions. Nebulizers are typically used to deliver medication as a mist to patients with respiratory diseases. The proposed smart nebulizer incorporates a high-efficiency jet motor capable of nebulizing 500 ml of air per cycle at a rate of 15 respiratory cycles per minute. It also includes a respiration rate sensor and IoT sensors to monitor patients' respiratory flow during nebulization. This technology is physician-friendly, enabling healthcare providers to remotely set and control the nebulizer's flow rate. The developed IoT-enabled smart nebulizer utilizes Wi-Fi for data transmission and reception, allowing real-time analysis and monitoring of patients' respiratory patterns. This innovation offers a more efficient and controlled way to manage respiratory treatments.

关键词： Technological innovation Hospitals Lung Motors Real-time systems Internet of Things Data communication Wireless fidelity Remote monitoring Asthma

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Prevention of Black-hole Attack in Manet’s

Prevention of Black-hole Attack in Manet’s

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Innovation in technology (ASIANCON), Asian Conference on

作者： Madona.B. Sahaai M. Akash Tharasvi M. Jeevan Raj Department of Electronic and Communication Engineering Vels Institute of Science Technology and Advanced Studies (VISTAS) Chennai Tamil Nadu India

ISBN: (数字)9798350354218

ISBN: (纸本)9798350354225

Mobile ad hoc networks, often known as MANETs, are network modes that operate without being dependant on any type of network structure and central access. The quick swift mode of networking makes MANET’s capable of executing all of the complex tasks. Nevertheless, open channels and changing topology present inherent security risks. We demonstrated explicitly that the AAS is resilient against sophisticated attacks, route spoofing using the BAN sense, finicky forwarding, bogus routing, and violent bumps mixing in MANET. If there are any particularly sharp bumps in the network, the AAS might raise the packet’s sending speed around to 40, on a regular basis. There are numerous active routing protocols that it works *** nasty nodes strike in simulated trials ,AAS resilience is demonstrated by its ability to sustain 79.2 percent of the network's performance. Nearly 1.6 times as many connections occur on average on the network as with the Cap-OLSR protocol, which prevents conspiracy attacks.

关键词： Technological innovation Prevention and mitigation Systems architecture Routing Ad hoc networks Routing protocols Topology Security Mobile computing Resilience

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AI-Based Temperature Automation and Location Tracking in Ship Container Monitoring System (TALT)

AI-Based Temperature Automation and Location Tracking in Shi...

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Advancement in technology (ICONAT), International Conference for

作者： V Hari Haran R Maiyappan P Vijayalakshmi Department of Electronic and Communication Engineering Vels Institute of Science Technology and Advanced Studies (VISTAS) Chennai Tamil Nadu India

ISBN: (数字)9798350354171

ISBN: (纸本)9798350354188

In a world increasingly reliant on technology, the need for innovative solutions in various aspects of daily life is paramount. This project presents an advanced system that integrates artificial intelligence (AI) and temperature control technology to address the critical domain of food storage. To achieve food identification, a deep learning model, specifically a Convolutional Neural Network (CNN), is trained on a diverse dataset of food images. When a new item is introduced into the container, a Pi camera captures an image, and the AI model instantly identifies the food type. Simultaneously, the system employs a Proportional Integral Derivative (PID) controller to regulate the temperature using a Peltier device. Temperature set points for each food category are predefined or learned over time, ensuring precise temperature control. Incorporating GPS location tracking further enhances the system’s utility. By integrating a GPS module, the container’s location can be accurately determined and monitored in real time. In previous work, it has a monitoring system using IOT-based technology.

关键词： Temperature sensors Temperature measurement Software algorithms Containers Software Temperature control Convolutional neural networks Artificial intelligence Monitoring Global Positioning System

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Machinability investigation and optimizing process parameters in ECM of stainless steel −12X18H10T for minimizing surface roughness

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Materials Today: Proceedings 2023年 81卷 443-448页

作者： A Jerin K Karunakaran Research Scholar Department of Mechanical Engineering School of Engineering Vels Institute of Science Technology and Advanced Studies (Deemed to be University) Vels University Chennai TN India Research Supervisor & Associate Professor Department of Mechanical Engineering School of Engineering Vels Institute of Science Technology and Advanced Studies (Deemed to be University) Vels University Chennai TN India

The tool and die applications are preferred the unconventional machining processes as they are popular in machining the difficult to cut type complex contour/ profile. The complex profile machined on hard material. Some special materials like Stainless Steel 12X18H10T withstand its inherent properties even it exposes at higher temperature. This investigation aims to expand its application by investigating its machinability in Electro Chemical machining process for surface finish. The process parameters like gap between work material and tool, discharge current, concentration of electrolyte and applied voltage at three levels. The Taguchi approach is used for optimizing the process parameters and confirmation runs also conducted for developing the mathematical modelling. For optimizing number of experiment the Taguchi L9 is utilized for this investigation.

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Numerical analysis of hemodynamic parameters in stenosed arteries under pulsatile flow conditions

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Medicine in Novel technology and Devices 2023年第4期20卷 32-50页

作者： Priyambada Praharaj Chandrakant Sonawane Anand Pandey Vikas Kumar Arundhati Warke Hitesh Panchal R.Ibrahim Chander Prakash Jayawant Shikshan Prasarak Mandal(JSPM)’s Rajarshi Shahu College of Engineering PuneIndia Symbiosis Institute of Technology Symbiosis International Deemed UniversityPuneIndia Centre for Development of Advanced Computing(CDAC) PuneIndia Department of Mechanical Engineering Government Engineering College patanGujaratIndia Department of medical instruments engineering techniques Al-farahidi UniversityBaghdadIraq Research&Developemnt SVKM’S Narsee Monjee Institute of Management StudiesMumbaiIndia Mukesh Patel School of Technology Management and Engineering SVKM’S Narsee Monjee Institute of Management StudiesMumbaiIndia

This research studies the changes in flow patterns and hemodynamic parameters of diverse shapes and sizes of *** different shapes and sizes of stenosis are constructed to investigate the variations in hemodynamics as the morphology *** in shape(trapezoidal and bell-shaped)and sizes of stenosis change the stresses on the walls and their flow *** and OSI results specify that trapezoidal stenosis exerts greater stress than bell-shaped ***,as the length of the trapezoidal stenosis increases,the TAWSS increases,whereas the trend is the opposite for bell-shaped ***,this paper also studies different degrees of stenosis extracted from real *** in velocity flow patterns,wall shear stress(WSS),Time-averaged wall shear stress(TAWSS)and Oscillatory shear index(OSI)have been studied for these *** illustrate that the peak velocity rises drastically as the stenosis percentage *** velocity is seen close to the artery's walls,indicating flow *** flow separation region is seen throughout the cycle except in the accelerating flow *** increase in stenosis also increases WSS and TAWSS *** WSS is seen downstream of stenosis,indicating flow *** negative WSS in the blood vessels also promotes endothelial *** values greater than 0.2 are seen near the stenosis region,indicating atherosclerosis *** of high OSI and low TAWSS are also identified,indicating probable regions of plaque development.

关键词： Cardiovascular Stenosis morphology Real geometry CFD simulation Artificial compressibility method HLLC-AC Pulsatile velocity

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A Three-Step Procedural Paradigm for Domain-Specific Social Media Slang Analytics 2

A Three-Step Procedural Paradigm for Domain-Specific Social ...

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2nd IEEE International Conference on Trends in Quantum Computing and Emerging Business Technologies, TQCEBT 2024

作者： Sundaram, Aishwarya Subramaniam, Hema Ab Hamid, Siti Hafizah Nor, Azmawaty Mohamad Universiti Malaya Institute for Advanced Studies Kuala Lumpur Malaysia Universiti Malaya Faculty of Computer Science and Information Technology Department of Software Engineering Kuala Lumpur Malaysia Universiti Malaya Faculty of Education Department of Educational Psychology and Counselling Kuala Lumpur Malaysia

ISBN: (纸本)9798350384277

Social media is a crucial aspect of modern society, shaping global communication and information exchange. Social media slang encompasses informal language expressions, abbreviations, and unconventional words on these platforms, serving purposes such as concise communication and identity establishment. Data analytics from social media slang plays a vital role in providing real-time trends, enhancing sentiment analysis, and improving the accuracy of predictive models by capturing evolving linguistic trends. This study aims to address gaps in existing social media slang analytics by proposing a three-step process for extracting and validating domain-specific social media slang terms, specifically focusing on the domain of anxiety prediction in the context of mental health. The proposed approach involves the identification of relevant users, extraction of social media slang terms, and validation by subject matter experts. A pilot study is conducted in the domain of anxiety prediction, employing a self-prepared questionnaire and involving participants aged 13-14 from schools in Selangor, Malaysia. The pilot study identifies ten social media slang terms associated with anxiety, validated by subject matter experts who are licensed mental health practitioners. The slang terms exhibit varying prevalence levels among adolescents, with some terms absent from popular slang dictionaries like Urban Dictionary. The findings highlight the need for extracting slang terms from pertinent users and subject matter expert validation in incorporating social media slang into more appropriate predictive analytics. © 2024 IEEE.

关键词： Data Analytics

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Bird Impact Analysis of a Typical Transport Aircraft Wing 4th

Bird Impact Analysis of a Typical Transport Aircraft Wing

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4th International Conference on advanced Materials and Modern Manufacturing, ICAMMM 2021

作者： Sivabalan, S. Sridhar, R. Pugazhenthi, R. Kumar, Eriki Ananda Sathish Kumar, G. Department of Mechanical Engineering Vels Institute of Science Technology and Advanced Studies Tamil Nadu Chennai India Department of Mechanical Engineering GCET Andhra Pradesh Chennur Kadapa India

ISBN: (纸本)9789811902437

Bird striking event is one of the most dangerous risks to the safety of aircrafts. Although most of the bird strike events involve relied small birds which do not cause risk, there is a possibility of severe damage to critical aircraft components such as shield of the wind, leading edges, empennages, engine structure and front, rear blades. In this aspect, a numerical study can help in identifying the parameters which influence the behaviour of the aircraft structure during bird impacts. The current project involves impact analysis carried out at the leading edge of the wing of a large passenger aircraft model. The project work focuses on developing a model to simulate a bird impact analysis on the leading edge of the wing using the explicit dynamics method in Ansys 15.0 workbench. Explicit dynamics simulates the response of structures to loadings involving short duration and severe loading which cause large material deformation. Explicit dynamics can be classified into Eulerian, Lagrangian and smooth particle hydrodynamics method. Lagrangian method is associated with the material of the structure and therefore each node of the mesh follows the material under motion and deformation. Smooth particle hydrodynamics method is a meshless Lagrangian technique where the bird model deformation is covered fully without the distortion of mesh by the interfacing particles are occurred independently. A large-scale passenger aircraft wing is used as a reference wing required for this analysis. The wing and the bird are modelled using unigraphics NX 10 software. Numerical simulations were performed in the commercially available explicit solver Ansys AUTODYN. The important parameters of the bird model include mass, structure, velocity of bird, angle of impact, and impact location. The bird model was assigned to impact the wing at three different velocities. The deformation, stress and strain values for different velocities are compared. Results of impact simulation give an underst

关键词： Aircraft wing Bird wing Formatting Insert Style Styling

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Neural Network Modeling for Process Parameter Optimization During Machining of EN24 STEEL 8th

Neural Network Modeling for Process Parameter Optimization D...

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8th International and 29th All India Manufacturing technology, Design and Research Conference , AIMTDR 2021

作者： Kumar, Aswani S. Priyadarshini, B. Geetha Krishnaraj, V. Amrishraj, D. Nampoothiri, Jayakrishnan Nanotech Research Innovation and Incubation Centre PSG Institute of Advanced Studies Tamil Nadu Coimbatore India Department of Production Engineering PSG College of Technology TamilNadu Coimbatore641004 India Department of Mechanical Engineering V.S.B Engineering college Karur India

ISBN: (纸本)9789811945557

In recent years, there has been a growing interest in tool wear prediction by machining characteristics such as interface temperature, friction, and chip thickness that use a data-driven approach to transform data into models, which are further applied to the fine-turning of process parameters. The paper presents the effects of process parameters like depth of cut, cutting speed, and feed rate upon the responses like cutting force, chip thickness, and temperature during machining with workpiece EN24 and tool (KCU25). The experiments were performed as per the response surface methodology (RSM) approach. This establishes the percentage contribution of each factor in determining the variability (variance) of data. The neural network from the regression equation with higher value determination coefficients and lower MSE values proved the convergence of the artificial neural network (ANN) results with experimental data. The proposed models in ANN are used to predict the responses for a set of cutting parameters, which show an average error of less than 1.5%. A comparison of the ANN and experimental results shows similar outputs, thereby confirming the accuracy of the model. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Neural networks

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