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Study of 3D model hip implant using ANSYS analysis

AIP Conference Proceedings 2020年第1期2281卷

作者： Theivanai Palaniappan Vijay Ajitha Krithika Dorairaju G. Anitha S. Gnanavel Nilkantha Gupta 1Department of Biomedical Engineering SRM Institute of Science and Technology Chennai Tamilnadu India 2Department of Biomedical Engineering SRM Institute of Science and Technology Chennai Tamilnadu India 3Research institute SRM Institute of Science and Technology Chennai Tamilnadu India

Joint replacement, a surgical option for end stage arthritis, is well established procedure from which millions of people have benefited across the globe. India is a country of 1.2 billion people with significant knee and hip arthritis population. Artificial implants, as of now, is a developing field with a lot of limitations to overcome. The project focuses on design and fabrication of a hip implant with innovative design improvements to the ones currently available. The detailed analysis is conducted using ANSYS to identify the most suitable material for ideal utilization and exemplary conformance of working expectations. The implant is to be precision manufactured using 3D printing technology to ensure nil residual stresses. The manufactured part is tested for mechanical, dynamic mechanical and physical properties and compared against the simulation report. The project aims to develop a hip implant from scratch while also identifying the ideal material choice.

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CyberSentry: Enhancing SCADA Security through Advanced Deep Learning and Optimization Strategies

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International Journal of Critical Infrastructure Protection 2025年

作者： Alaa O. Khadidos Adil O. Khadidos Shitharth Selvarajan Taher Al-Shehari Nasser A Alsadhan Subhav Singh Department of Information Systems Faculty of Computing and Information Technology King Abdulaziz University Jeddah Saudi Arabia Center of Research Excellence in Artificial Intelligence and Data Science King Abdulaziz University Jeddah Saudi Arabia Department of Information Technology Faculty of Computing and Information Technology King Abdulaziz University Jeddah Saudi Arabia School of Built Environment Engineering and Computing Leeds Beckett University LS1 3HE Leeds U.K Department of Computer Science and Engineering Chennai Institute of Technology Chennai India Centre for Research Impact & Outcome Chitkara University Institute of Engineering and Technology Chitkara University Punjab Rajpura 140401 India Computer Skills Department of Self-Development Skill Common First Year Deanship King Saud University 11362 Riyadh Saudi Arabia Computer Science Department College of Computer and Information Sciences King Saud University Riyadh 12372 Saudi Arabia Chitkara Centre for Research and Development Chitkara University Himachal Pradesh-174103 India Division of research and development Lovely Professional University Phagwara Punjab India

SCADA systems form the core of infrastructural facilities, including power grids, water treatment facilities, and industrial processes. Changing cyber threats present increasingly sophisticated attacks against which traditional security models inadequately protect SCADA systems. These traditional models usually have drawbacks in the way of inadequate feature selection, inefficiency in detecting most attacks, and suboptimal parameter tuning, which cause vulnerabilities and reduce resilience in systems. This paper presents CyberSentry, a new security framework designed to overcome limitations so as to provide robust protection for SCADA systems. These three modules makeup CyberSentry: the RMIG feature selection model, tri-fusion net for attack detection, and Parrot-Levy Blend Optimization (PLBO) for parameter tuning. The Recursive Multi-Correlation-based Information Gain (RMIG) feature selection model enhances accuracy in detection by optimizing the set of fatal features through recursive multi-correlation analysis by Information Gain prioritization. The Tri-Fusion Net combines anomaly detection, signature-based detection, and machine learning classifiers to enhance the detection versatility and robustness. The PLBO module ensures efficient and dynamic tuning for the parameters through undocumented Parrot and Levy optimization techniques. The proposed CyberSentry framework integrates, within a unified architecture, anomaly detection, signature-based detection, and machine learning classifiers to enhance the security of SCADA systems against diverse cyber threats. Features extracted in this manner are analyzed using machine learning classifiers that exploit their predictive capabilities for robust threat classification. The proposed approaches are fused within the Tri-Fusion Net to complement each other in areas where the separate methods lack certain strengths. This, therefore, ensures broad threat detection, as is validated by extensive testing with various datasets

关键词： SCADA Systems Security Cyber-Attack Intrusion Detection Deep Learning Feature Selection and Optimization

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A Supply Chain Framework for Identified Internet Services Based on Blockchain

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Journal of Physics: Conference Series 2021年第6期1964卷

作者： N Duraichi Naresh Sammeta V Lalitha P Velmurugan Department of Electronics and Communication Engineering Vel Tech High -Tech Dr. Rangarajan Dr.Sakunthala Engineering College Chennai Tamil Nadu India Department of Computer Science and Engineering RMK College of Engineering and Technology Puduvoyal Tamil Nadu India Department of Computer Science and Engineering Sri Sairam Engineering College Chennai Tamil Nadu India Department of Computer Science and Engineering SRM Institute of Science and Technology Kattankulathur Chennai Tamil Nadu India

The Named Data Networking is designed to ensure that each Data entity named allows its producer to digitally sign it. Therefore, the NDN project proposed to delivery of poisoned material an important management paradigm of Testing ground NDN for the actual data validation. This model, however, raises two problems in reality to search for false content: (1) a single point of failure is easily triggered by a centralised architecture, in particular where a root-key fails, because of its lack of dependency on keys across sites, and (2) an unnecessary certificate chain overhead for signing verification. This research suggests a key organization framework built on a blockchain in NDN, which addresses lack of mutual confidence among sites with no trust-based anchors. In particular both site nodes shape a licence blockchain to save public key hatches to guarantee validity, and the proxy gateway takes part to check that contacts among the router then the blockchain are overly regular. In accumulation, NDN is revamped to hold, validate and revoke a publicly important information object and scheme. The findings of our review and appraisal suggest that fewer verification numbers and greater verification reliability can be supported in the proposed arrangement.

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Vision Platform Lesion Quality Measurement of Accessible Endoscopic Images Using Machine Learning Techniques

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Journal of Physics: Conference Series 2021年第4期1964卷

作者： Naresh Sammeta N Duraichi P Velmurugan V Lalitha Department of Computer Science and Engineering RMK College of Engineering and Technology Puduvoyal Tamil Nadu India Department of Electronics and Communication Engineering Vel Tech High -Tech Dr.Rangarajan Dr.Sakunthala Engineering College Chennai Tamil Nadu India Department of Computer Science and Engineering SRM Institute of Science and Technology Kattankulathur Chennai Tamil Nadu India Department of Computer Science and Engineering Sri Sairam Engineering College Chennai Tamil Nadu India

Through use of non-mydriatic retinal computed radiography which led to invaluable applications of handheld fundus cameras is illustrated by telemedicine and the medical 'big data' age of dermatology. Even then, non-mydriatic visual acuity is more resistant to distortion in the case of portable fundus photography, such as irregular lighting, reduction of light, boring and poor contrast. These distortions are known as distortions of standardised content. This paper presents a methodology capable of identifying fair-generic images that would've been useful particularly for the collection of clear meaningful and interpretable data by inexperienced people. The algorithm relies on three features: the multi-channel feeling, only visible blur and the visual field function, which senses lighting and distortion of colour, blurred and low distortion of contrast respectively. A total of 536 photographs were classified by one senior and two junior ophthalmicists separately, 280 from private data bases and 256 from public collections, thereby splitting three calculation sizes of consistency and general quality into two groups. In order to evaluate the performance of the proposed algorithm, binary classifications were performed via the support vector machine and the decision tree and receptor operating function (ROC) curves were obtained and scheduled. The experimental findings indicate that the overall grade sensitivity of 87,45 percent at 91,66 percent with a Correlation coefficient region of 0,9450 indicates the importance of the implementation of the human-vision method algorithm, particularly with low-cost ophthalmic telemedicine's, in order to assess the photographic performance, the non-mydriatic images.

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Intelligent Reflecting Surface Assisted Beam Index-Modulation for Millimeter Wave Communication

arXiv

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arXiv 2020年

作者： Gopi, Sarath Kalyani, Sheetal Hanzo, Lajos Department of Electrical Engineering Indian Institute of Technology Chennai600036 India School of Electronics and Computer Science University of Southampton SouthamptonSO17 1BJ United Kingdom

Millimeter wave communication is eminently suitable for high-rate wireless systems, which may be beneficially amalgamated with intelligent reflecting surfaces (IRS), relying on beam-index modulation. Explicitly, we propose three different architectures based on IRSs for beam-index modulation in millimeter wave communication, which circumvent the line-of-sight blockage of millimeter wave frequencies. We conceive both the optimal maximum likelihood detector and a low-complexity compressed sensing detector for the proposed schemes. Finally, the schemes conceived are evaluated through extensive simulations, which are compared to our analytically obtained bounds. Copyright © 2020, The Authors. All rights reserved.

关键词： Millimeter waves

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Design of metamaterial loaded monopole antenna for multiband operation

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AIP Conference Proceedings 2022年第1期2405卷

作者： R. Ganesh Babu S. Yuvaraj L. Raja S. Velmurugan C. Malarvizhi J. Karthi 1Department of Electronics and Communication Engineering SRM TRP Engineering College Tiruchirappalli TN 621105 India 2Department of Electronics and Communication Engineering Sri Eshwar College of Engineering Coimbatore TN 641202 India 3Department of Electronics and Communication Engineering Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Chennai TN 600062 India 4Department of Electronics and Communication Engineering Rajalakshmi Institute of Technology Chennai TN 600124 India 5Department of Electronics and Communication Engineering Rajalakshmi Engineering College Chennai TN 602105 India

A compact rectangular monopole antenna loaded with ELC (Electric field Coupled resonator) and to obtain multiband resonance characteristics complementary split ring (CSRR) is used. The proposed antenna is 23 × 12.8 × 1.6 mm of dimensions and which is designed using FR-4 material which carries a dielectric value equal to 4.3. The metamaterial element CSRR offers negative permittivity characteristics and ELC offers negative permeability characteristics for achieving good impedance matching, multiband and antenna miniaturization.

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Assessment of the Effects of Blockchain Based Protection in Network Performance

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Journal of Physics: Conference Series 2021年第4期1964卷

作者： Y Murali Mohan Babu K Radhika T R Saravanan J K Periasamy Department of Electronics and Communication Engineering Tirumala Engineering College Narasaraopet Guntur AP India Department of Electronics and Communication Engineering Geethanjali Institute of Science and Technology Kovur Andhra Pradesh India Department of Computer Science and Engineering SRM Institute of Science and Technology Kattankulathur Tamil Nadu India Department of Computer Science and Engineering Sri Sairam Engineering College Chennai Tamil Nadu India

Blockchain is popular as the distributed directory under Blockchain, which safeguards the transaction history in a completely linked network of peers. For double-dollar secrecy, a Bitcoin transaction is only called irrevocable after it's on the blockchain, a chain comprising at least six mined blocks — shortly, 'six confirmations.' In addition to the usage of blockchain technologies for securing funding, the Internet of Things and the ad hoc vehicle network are now paired with other new technologies (VANET). Nevertheless, these modern apps could have relatively poor Internet access because of the integration of handheld devices that may be placed outside network networks. This paper discusses the influence of latency on forking actions by blockchain and potential breaches of the above six transaction acceptance confirmations convention. We simplify the data structure of blockchain and prevent detailed calculations needed for proof of operating to speed up our simulations (Pow). By simulating, we prove that the convention of six confirmations is vulnerable to the latency of the peer-to-peer system besides also illustrate how easy it is disrupted by simpler mine-mining problems. It is not shocking that the lateness of the underlying peer-to-peer network has seriously impacted the tempo at which all nodes converge in the blockchain. It is also seen to the degree nodes with more regular Internet access will benefit unfairly from proof-of-work mining benefits. We therefore propose to track fairness with heterogeneous latency profiles across nodes, which can prohibit any nodes from being miners.

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PV system with high voltage gain based DC-DC boost converter for grid applications

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AIP Conference Proceedings 2022年第1期2519卷

作者： S. Peniel Pauldoss K. Sekar Balachandra Pattanaik V. Senthil Nayagam 1Department of Mechanical Engineering Brilliant Group of Technical Institutions Hyderabad Telangana India 2Department of Electrical and Electronics Engineering Hindustan College of Engineering and Technology Coimbatore Tamil Nadu India 3Department of Electrical and Computer Engineering Wollega University Nekemte Ethiopia Africa 4School of Electrical and Electronics Engineering Sathyabama Institute of Science and Technology Chennai Tamil Nadu India

The production of electricity from renewable sources is growing. The study proposes to use the wind power grid-based PV system and to use a PWM control system to regulate the solar system with a three-phase grid. This study aims to create a system that enhances power on the spring and controls harmonics on the grid. The converters linked up with the 3-phase RL load of the generated PV arrays. The system is comprised of the inverter, PV module, and non-linear power boost converter. The proposed way of controlling PWM makes the system robust and reliable. The converter is connected to the input side voltage source inverter to step up the generated PV array voltage. A three-phase inverter uses sliding mode control to switch signals and control the transferred active power to the grid system and load. The suggested arrangement model is developed using MATLAB/Simulink.

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IoT based energy monitoring and energy theft detection

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AIP Conference Proceedings 2023年第1期2690卷

作者： Vishakha Yadav Anita Keshav Patil P. Janardhan Saikumar Santaji Krishna Shinde B. Karunamoorthy S. Hemavathi 1Department of Computer Science and Engineering BMS Institute of Technology and Management Yelahanka Bengaluru-560064 Karnataka India 2Department of Electronics and Telecommunication Dr.Vithalrao Vikhe Patil College of Engineering MIDC Vilad Ghat Ahemdnagar– 414111 Maharashtra India 3Department of Electronics and Communication Engineering Audisankara Institute of Technology Gudur-524101 Andhra Pradesh India 4Department of Computer Engineering Vidya Pratishthan’s Kamalnayan Bajaj Institute of Engineering and Technology Baramati Pune-413133 Maharashtra India 5Department of Electrical & Electronics Engineering Kumaraguru College of Technology Coimbatore-641049 Tamil Nadu India 6Battery Division Central Electrochemical Research Institute and Academy of Scientific and Innovative Research CSIR Madras Complex Chennai - 600113 Tamil Nadu India

One of the greatest issues facing the nation today is the energy crisis. The energy crisis can be mitigated to some extent if people keep track of our energy consumption and avoid wasting it. People nowadays confront a variety of issues, including electricity theft. One’s own country’s economy has a major significant influence on electric power theft and is a type of crime. In this research, an IoT-based power utilizedis proposed andit is measured utilizing current and voltage sensor reading. The proposed IoT technology will readily detect energy theft. This Internet of Things is connected with an Arduino UNO IDE with a Wi-Fi module for IoT connectivity andcustomers will receive information viathe Blynk app. A current sensor is also included in this smart electricity meter, which relays the current information to the microcontroller. Users must connect cell phones to Blynk app so that the electricity theft can be tracked and monitored,which can help you to set up your system. The reading appears on the IoT screen as soon as it activates the system. The reading will be altered following the passage of time. If energy theft occurs, the theft will be detected and displayed on the IoT screen. To prevent theft, the user can use the IoT Blynk app to monitor the tracking of power utilized by the system anywhere and at any time, even after receiving the theft indication signal.

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Leaf disease identification using machine learning models

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AIP Conference Proceedings 2022年第1期2519卷

作者： M. SivaramKrishnan A. R. Rajini K. Logu M. Kumarasamy S. Jayaprakash R. R. Rubia Gandhi M. Siva Ramkumar 1Department of EEE Karpagam College of engineering India 2Department of Electronics and Communication Engineering Sri Sairam Engineering College Chennai Tamilnadu India 3Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Chennai Tamilnadu India 4Department of Computer Science College of Engineering and Technology Wollega University Nekemte. Ethiopia 5School of Electrical and Electronics Engineering Sathyabama Institute of Science and Technology Chennai Tamilnadu India 6Dept of EEE Sri Ramakrishnan Engineering College India 7Dept of EEE Karpagam Academy of Higher Education India

The field which encompasses predictive data analysis known as machine learning is quickly developing. Agricultural outcomes have been improved due to its suitability in automation, weather prediction, and share market applications. This article covers the latest on using machine learning to various fields in agriculture. The broad variety of machine learning methods applicable for said predictive modeling within important agricultural It is a great difficulty to be living in a densely populated nation, since one must meet the requirements of everyone. Agriculture ranks ahead of almost everything else when it comes to moving our nation forward. Machine learning makes the system adaptive to various environmental conditions by reducing human involvement. This article talks about the many algorithms for choosing the best for the application.

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