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3rd International Conference on Smart Technologies and Systems for Next Generation Computing, ICSTSN 2024

作者： Aurchana, P. Antony Joseph rajan, d. Madonna Arieth, r. revathy, G. Malla Reddy University School of Engineering Department of CSE Telangana Hyderabad India SIMATS Saveeths University Saveetha School of Engineering Department of CSE Tamil Nadu Chennai India Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Department of CSE Tamil Nadu Chennai India Srinivasa Ramunjan Centre Sastra Deemed University Department of CSE Tamil Nadu Kumbakonam India

ISBN: (纸本)9798350391565

India's inhabitants rely heavily on agriculture for their livelihood. This research contributes significantly to the country's economy. Soil is essential for agriculture. An important component of agriculture is soil. There are different soil types. different crops thrive on different types of soils, and different types of soil might have distinct properties. To know which crops grow best in certain types of soil, need to know the characteristics and characteristics of different typeso of soil. With in the domain domaagricultural data analysis, machine learning is a challenging research area that is still developing. In the suggested work, soil classification dataset are collected from kaggle are classified into black soil, cinder soil, Laterite soil, Peat soil and yellow soil. In the proposed work 70% were contemplated for training, 30% were used for testing. Extraction is done using Speeded Up robust Features which ensembles exploiting radial Basis Functional Neural Network and Gaussian Mixture Model by combining outcomes voting and boosting where voting gives the satisfactory results of 86% © 2024 IEEE.

关键词： Adversarial machine learning

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Investigation on wear characteristics of Al 2219/Si3N4/Coal bottom ash MMC

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Materials Today: Proceedings 2022年 62卷 5514-5518页

作者： Subramani, K. Arunkumar, T. Mohanavel, V. Kolappan, S. Kailasanathan, C. Boopathi rathinam, B. Subbiah, ram Suresh kumar, S. Department of Mechanical Engineering VelTech Rangarajan Dr Sagunthala R&D Institute of Science and Technology Tamil Nadu Chennai India Department of Mechanical Engineering CMR Institute of Technology Karnataka Bengaluru India Centre for Materials Engineering and Regenerative Medicine Bharath Institute of Higher Education and Research Tambaram Selaiyur Tamil Nadu Chennai 600073 India Department of Mechanical Engineering Sethu Institute of Technology Tamil Nadu Virudunagar India Department of Mechanical Engineering Gokaraju Rangaraju Institute of Engineering and Technology Telangana Hyderabad 500090 India Department of Mechanical Engineering Panimalar Polytechnic College Tamil Nadu Chennai 600029 India

High-energy ball milling is used to create nanostructured materials from coal bottom ash (CBA) and silicon nitride (Si3N4). 36 h of ball milling coal bottom ash reduced it to 51.3 nm, while silicon nitride was reduced from 61.2 nm to 29 nm. Metal Matrix Composites (MMC) is fabricated through liquid stir method. The composites wear rate went up with nano coal bottom ash and nano silicon nitride reinforcements due to clustering, as well as a lack of interfacial connection between the base material and hybrid reinforcements employed. Increased frictional drive causes magnified debonding and easy exclusion of composite particles, accelerating the amount of wear. The friction coefficient reduces in all composite configurations as the average load increases. © 2022

关键词： Friction

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Stably suspended SiO2-supported CdS photocatalyst for a promising organic pollutant degradation in the absence of mechanical stirring

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Chemosphere 2024年 350卷

作者： Ng, Kim Hoong Lin, Yu-Ya Chen, Li-Wei Department of Chemical Engineering Ming Chi University of Technology New Taipei24301 Taiwan R&D Center of Biochemical Engineering Technology Ming Chi University of Technology New Taipei Taiwan Battery Research Center of Green Energy Ming Chi University of Technology New Taipei24301 Taiwan Center for Environmental Sustainability and Human Health Ming Chi University of Technology New Taipei City24301 Taiwan

Even with solar-activatable photocatalyst, incommensurable energy input for stirring is still required to overcome the transport limitations in powder-photocatalysis. To counter this, a novel concept of auto-suspending photocatalyst based on SiO2/CdS was proposed to enable promising photo-activity even under stirring-free condition. Functionally-speaking, CdS would act as photoreaction-driver while SiO2 endows sufficient buoyance for suspension-stabilization during stirring-free photocatalysis. In photoreactions degrading methylene blue for theoretical demonstration, SiO2/CdS_0.3 promises only 4.57% activity reduction in non-stirred photoreaction, enabling 15.26% of methylene blue decolorization comparing to 15.99% of stirred-photoreaction under visible light irradiation. This could be ascribed to the slow settling tendency of SiO2/CdS_0.3, evading severe light-shielding under stacked condition. Also, its rightly-exposed SiO2 surface permits ‘adsorb-and-degrade’ mechanism, thereby overcoming the sluggish surface transport across thick boundary layer. Contrarily, photocatalyst with quintuple CdS content (SiO2/CdS_1.5) exhibits largest activity reduction (31.47%), reasoned by its quick-settling tendency. Overall, current study provides new perspectives to photocatalysis-community. The success elimination of mechanical stirring from photocatalysis promises significant energy-saving (19.1–136 kW/m3), thus consenting better practicality for solar energy-harvesting and environmental protection. © 2023 Elsevier Ltd

关键词： Cadmium sulfide

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A Way of Making Smart Health Through Collaborating Machine Learning with the Bibliometrics 4

A Way of Making Smart Health Through Collaborating Machine L...

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4th IEEE International Conference on Advance Computing and Innovative Technologies in engineering, ICACITE 2024

作者： Vignesh, T. Sruthi, P.S. Mohanraj, T. Kumar, Gaurav Varkale, Akshay Sheela, M.Sahaya Prince Shri Venkateshwara Padmavathy Engineering College Department of Computer Science and Engineering TN India Nehru Institute of Technology Department of Computer Science and Business System Tamil Nadu T.M. Palayam India Karpagam Academy of Higher Education Department of Computer Science Engineering India Chitkara University Chitkara Centre for Research and Development Himachal Pradesh India M.P Bhopal India Vel Tech Rangarajan Dr. Sagunthala R&d Institute of Science and Technology Department of Electronics and Communication Engineering Tamil Nadu Chennai India

ISBN: (纸本)9798350360165

It datasets are widely utilized, shared, and repurposed without providing enough context for understanding the decision-making processes that led to their creation. It is necessary to modify system creation and use procedures to handle the concrete effects of how knowledge for model building is envisioned and used in real-world applications as AI systems assume more and more important roles. documents are created at every phase of the data generation lifecycle to improve communication, aid in decision-making, and highlight the need of careful data work. By putting out this paradigm, we want to shed light on the choices and duties that are often disregarded while creating datasets, which is a crucial first step in bridging the duty of care gap in AI. This framework provides an essential and important resource for guaranteeing ethical AI activities, and it is in line with current developments in auditing procedures. © 2024 IEEE.

关键词： Adversarial machine learning

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Evolution of surface quality in micromilling Ti-6A1-4V alloy with increasing machined length

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Procedia CIrP 2024年 123卷 221-226页

作者： Maria Clara Coimbra Gonçalves rob Alsters david Curtis rachid M’Saoubi Hassan Ghadbeigi University of Sheffield Mechanical Engineering Department Mappin Street Sheffield UK R&D Materials and Technology Development Seco Tools AB Zandterweg 14 5973 RC Lottum Netherlands Advanced Manufacturing Research Centre University of Sheffield Rotherham S60 5TZ UK R&D Materials and Technology Development Seco Tools AB 737 82 Fagersta Sweden Division of Production and Materials Engineering Lund University Ole Römers väg 1 221 00 Lund Sweden

Micromilling is a subtractive manufacturing process that presents challenges due to scale effects and rapid tool wear. To understand the evolution of surface quality when increasing the machined length during the micromilling process, this study assessed the surface roughness, topography, and defects of slots micromilled on Ti-6A1-4V. For the experiments, 1 mm diameter flat end mills were employed, and the cutting parameters were varied using a full factorial design. Subsequently, the surface texture field parameter S a was assessed every 20 mm, up until the machining length of 260 mm. The analysed results led to the conclusion that, for the adopted set of parameters and the machining length of up to 260 mm, surface roughness was not significantly correlated to the machined length in the micromilling process of Ti-6A1-4V, as the Pearson coefficient, obtained from the correlation analysis, was -0.052. However, the surface roughness was mainly influenced by feed rate (Pearson coefficient of 0.82), with higher feed rates leading to roug surfaces (up to S a = 0.4 µm) duhere to the tool load increase that causes wider feed marks on the surface. regarding the feed marks, they were affected by the tool rotational frequency due to system vibration. Additionally, surface defects of adhered material, smearing, tearing and side flow were observed. For lower feeds, material adhesion was the main type of defect observed, while higher feed rates favoured the side flow phenomenon.

关键词： micromilling surface quality tool wear

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Optimizing Wireless Coverage: The Impact of Signal Enhancers on Current and Future Wireless Communication Systems

Optimizing Wireless Coverage: The Impact of Signal Enhancers...

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Asia-Pacific Conference on Applied Electromagnetics, APACE

作者： Suhandi Bujang Mohamad Yusoff Alias Azah Syafiah Mohd Marzuki Abdullah Bin Salleh Surajo Muhammad Mohd Hafiz Mohamad Nor Centre for Intelligent Network TM R&D Sdn Bhd Cyberjaya Malaysia Faculty of Engineering Multimedia University Cyberjaya Malaysia Mobile Technology Division Telekom Malaysia Kuala Lumpur Malaysia

ISBN: (数字)9798350364163

ISBN: (纸本)9798350364170

The rapid growth of wireless communication requires solutions to address coverage gaps and improve network performance. Signal enhancement technologies like repeaters, distributed Antenna Systems (dAS) and reconfigurable Intelligent Surfaces (rIS) are crucial for boosting coverage in current and future wireless communication networks. This paper briefly discusses recent advancements in these technologies and presents case studies demonstrating how LTE Tdd repeater improve both indoor and outdoor coverage. results show that indoor downlink and uplink throughput increased to over 35 Mbps and 10Mbps, while outdoor downlink and uplink performance reached 30 Mbps and 3 Mbps, respectively. These results prove the repeater’s effectiveness in enhancing signal coverage and network performance.

关键词： Wireless communication Key performance indicator reconfigurable intelligent surfaces repeaters downlink Throughput resource management Uplink Long Term Evolution Signal to noise ratio

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Prediction of cavitation using machine learning techniques on centrifugal pump 8

Prediction of cavitation using machine learning techniques o...

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8th International Conference on Pumps and Fans, ICPF 2024

作者： Stephen, Christopher Guguloth, Vivek Sivasailam, Kumaraswamy Gu, Yandong Parmar, richa Banerjee, Chandan Centre for Solar Water Pumping System Department of Mechanical Engineering Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Tamil Nadu Chennai600 062 India National Institute of Solar Energy Haryana Gurugram122 003 India School of Energy Science and Engineering Indian Institute of Technology Kharagpur West Bengal Kharagpur721 302 India Department of Mechanical Engineering Indian Institute of Technology Madras Tamil Nadu Chennai600 036 India College of Hydraulic Science and Engineerig Yangzhou University Yangzhou225 009 China

When the local static pressure drops below the fluid's vapour pressure at that particular temperature, a dynamic process known as cavitation takes place in the liquid. due to cavitation, the performance (total head and flow rate) of the pump will deteriorate, and hence the vibration and noise will develop. Both the performance and cavitation investigations are carried out for a low-specific-speed pump as per the testing standards. The results obtained during cavitation studies are extracted to train the machine learning algorithms. The flow rate, speed, torque, suction head, and delivery head are considered as input variables for machine learning, with total head, Net Positive Suction Head (NPSH), efficiency, and noise magnitude being output variables. The current studies employ four machine learning techniques: random forest, support vector machines, extreme gradient boosting, and linear regression. In the analysis, notable performance was observed for the random forest and extreme gradient boosting algorithms among others consistently demonstrated superior predictive capabilities for the output parameters of the pumps. For linear regression, random forest, and extreme gradient boosting, the coefficient correlation values are around one for all output parameters except for noise. Similar observation is depicted for coefficient of determination and normalized root mean squared error. These ensure the level of noise during cavitation is very dynamic. These findings will enable the pump user to incorporate AI techniques for the diagnosis of centrifugal pump operation with reference to the nominal flow rate (best efficiency flow). Through this technology, preventive and predictive maintenance of pumps can be adapted with less downtime in process industries, power plants, chemical industries, oil and gas refineries, and so on. © 2024 Institute of Physics Publishing. All rights reserved.

关键词： Centrifugal pumps

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Physically Parameterized differentiable MUSIC for doA Estimation with Uncalibrated Arrays

arXiv

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arXiv 2024年

作者： Chatelier, Baptiste Mateos-ramos, José Miguel Corlay, Vincent Häger, Christian Crussière, Matthieu Wymeersch, Henk Le Magoarou, Luc Mitsubishi Electric R&D Centre Europe Rennes France Univ Rennes INSA Rennes CNRS IETR-UMR 6164 Rennes France Department of Electrical Engineering Chalmers University of Technology Sweden

direction of arrival (doA) estimation is a common sensing problem in radar, sonar, audio, and wireless communication systems. It has gained renewed importance with the advent of the integrated sensing and communication paradigm. To fully exploit the potential of such sensing systems, it is crucial to take into account potential hardware impairments that can negatively impact the obtained performance. This study introduces a joint doA estimation and hardware impairment learning scheme following a model-based approach. Specifically, a differentiable version of the multiple signal classification (MUSIC) algorithm is derived, allowing efficient learning of the considered impairments. The proposed approach supports both supervised and unsupervised learning strategies, showcasing its practical potential. Simulation results indicate that the proposed method successfully learns significant inaccuracies in both antenna locations and complex gains. Additionally, the proposed method outperforms the classical MUSIC algorithm in the doA estimation task. Copyright © 2024, The Authors. All rights reserved.

关键词： Multiple signal classification

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Analytical investigation of the influence of various void shape and spacing on the load-bearing behavior of concrete hollow core slabs

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Journal of Building Pathology and rehabilitation 2022年第1期7卷 1-12页

作者： Kumar, M. Vinod Alzein, razan Ganesh, A. Chithambar Kumar, K. rajesh Gurumoorthy, N. Adesina, Adeyemi Department of Civil Engineering Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology Tamil Nadu Chennai 600062 India Department of Civil Engineering Sree Vidyanikethan Engineering College Tirupati India Centre for Construction Methods and Materials SR University Warangal Telangana India Department of Civil Engineering PSNA College of Engineering and Technology Dindigul 624622 Tamil Nadu India Department of Civil and Environmental Engineering University of Windsor Windsor Canada

The self-weight of a structure is of great importance as it directly affects the cost of the structure. With concrete slabs being one of the biggest and heaviest structural members in buildings, it is essential to devise novel ways to reduce the self-weigh of slabs without significant reduction in the load-carrying capacity. One of such solutions that can be used to reduce the self-weight of slabs is the use of hollow-core slabs. In addition to the reduction in self-weight with the use of hollow-core slabs, a reduction in the cost and workmanship associated with the production of the slabs can be achieved. In this context, this analytical study was carried out to investigate the effect of various void shapes and spacings on the load-bearing behaviour of hollow-core slabs using the Finite Element Analysis (FEA) program ANSYS. Slabs with a uniform dimension of 2600 mm × 1200 mm × 140 mm with the same reinforcement are designed with various void shapes of the same area of 1963.5 mm² (Group 1) and spacing (Group 2). The outcome of this study showed the presence of hollows in the slabs resulted in a reduction in the load-bearing capacity of the slabs. Nonetheless, the use of elliptical void shape was found to be optimum among other shapes and increasing the void spacing to 120 mm can be used to increase the capacity of the slabs. On a positive note, the presence of voids in the slabs resulted in a reduction in self-weight in the range of 9.2%–15.1%. © 2021, The Author(s), under exclusive licence to Springer Nature Switzerland AG.

关键词： Finite element analysis (FEA) Finite element analyzing software ANSYS Hollow core slabs Self-weight reduction

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Using Blockchain technology for transparent and secure Financial Transactions in the Contemporary Business Landscape 2

Using Blockchain technology for transparent and secure Finan...

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

作者： Meera, K.L. Vijai, C. Kalia, rosy raje, Harshal Sen, Gautam Tiwari, Mohit University Centre of Management Studies Bengaluru India Vel Tech Rangarajan Dr. Sagunthala R&d Institute of Science and Technology Department of Commerce and Business Administration Chennai-62 India Indira School of Business Studies Pgdm Pune India Dr. D.Y. Patil Vidyapeeth Pimpri Global Business School and Research Centre Maharashtra Pune India University of Calcutta Commerce Sundarban Hazi Desarat College WB 743611 India Bharati Vidyapeeth's College of Engineering Department of Computer Science and Engineering Delhi A-4 Rohtak Road Paschim Vihar Delhi India

ISBN: (纸本)9798350384277

Blockchain is a very useful technique in many areas including finance/insurance /banking services. It does not require any third-party so it is impossible to delete/alter/temper information once loaded on it. It is time-efficient and cost-friendly. It allows smooth and quick KYC update and permits real-time document verification. The encryption in blockchain network make use of cryptography algorithm and hashing for sharing data between participants. Such kind of encrypted transactions later get added in other blocks in the network. Because of immutability nodes in a blockchain system ledger operate in alignment for validation of transactions. Modification of any individual operation can only happen in consensus of other nodes that renders data more secure and reduces any temper attempts. Utilizing blockchain for fintech has given rise to a new type of model for financial usage which is called as decentralized finance deFi. deFi means those technical operations that ensure distributed financial exchange missions on blockchain network the combination of Fintech and blockchain in a deFi has resulted in transparent, temper-proof, convenient, rigid, robust, and customized financial services and completely uprooted the very existence of third-party intermediaries © 2024 IEEE.

关键词： decentralized finance

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