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Computational Intelligence and Communication Technologies (CCICT), International Conference on

作者： Aman Garg Ankit Kumar Yatu Rani Gurminder Kaur B.M. Institute of Engineering and Technology Sonipat India

ISBN: (数字)9798350374629

ISBN: (纸本)9798350374636

This exploration paper explores the transformative eventuality of stoked reality(AR) in the field of e-commerce. The primary idea is to estimate consumer engagement and purchase opinions on the addition of stoked reality in e-commerce similar to seeing products in a real terrain and interacting with them through the camera. This exploration paper underscores the strategic significance of Augmented Reality (AR) in reshaping the geography of e-commerce. concentrated on elevating online shopping gests through the integration of AR in e-commerce businesses. The study also shows the market evaluation of AR in e-commerce and advocates for the relinquishment of AR technologies as imperative for businesses seeking to maintain competitiveness and effectively engage consumers in this evolving e-commerce paradigm.

关键词： Geography Computational modeling Cameras Communications technology Electronic commerce Augmented reality Computational intelligence

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A Power Aware Long Short-Term memory with Deep brief Network based microgrid Framework to maintain Sustainable Energy management and Load balancing

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Distributed Generation and Alternative Energy Journal 2024年第1期39卷 1-26页

作者： Gowtham, N. Prema, V. Elmorshedy, mahmoud F. bhaskar, m.S. Almakhles, Dhafer J. Department of Electrical and Electronics Engineering Manipal Institute of Technology Bengaluru Manipal Academy of Higher Education Manipal India Department of Electrical and Electronics Engineering B.M.S. College of Engineering Bengaluru India Renewable Energy Lab Department of Electrical Engineering College of Engineering Prince Sultan University Riyadh11586 Saudi Arabia Electrical Power and Machines Engineering Department Faculty of Engineering Tanta University Tanta31733 Egypt

microgrids are seen as the future of reliable, sustainable and green energy source for myriad applications. The increasing dependence on microgrid also adds challenges on reliable management of power supply to vividly variant consumers, the major chunk being households coupled with an unprecedented rise in the demand for EV charging. This study aims at presenting a deep Long Short-Term memory with Deep brief Network model to reliably predict the grouped energy load and solar energy outcome in a community microgrid. A cutting-edge hybrid metaheuristic algorithm will be taken into consideration for optimizing the load dispatch of community microgrids that are connected to the grid. Three different scheduling scenarios are evaluated to establish an ideal dispatching design for a grid-linked community microgrid with solar elements and energy storage systems feeding electricity loads and charging electric vehicles. The prediction outcomes are integrated into the model to accommodate the uncertainties associated with solar energy outcome and residential energy load and EV charging to achieve a supply-demand equilibrium. The objective of the proposed model is to obtain an energy-efficient system capable of balancing the load and power of microgrid system which remains unperturbed by the aforesaid oscillations. © 2024 Taylor and Francis Inc.. All rights reserved.

关键词： Long short-term memory

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Deep Reinforcement Learning with Graph Neural Networks: An Indepth Analysis of Algorithms and Applications

Deep Reinforcement Learning with Graph Neural Networks: An I...

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Advanced Computing & Communication Technologies (ICACCTech), International Conference on

作者： Sakshi Srivastava Harish Kumar mittal Sonika Vasesi Paramjeet Avdhi Jain Divya Chauhan Computer Science and Engineering B M Institute of Engineering and Technology Sonipat India

ISBN: (数字)9798331519056

ISBN: (纸本)9798331519063

Deep Reinforcement Learning (DRL) enable several areas of artificial intelligence, including perception recognition, expert system, recommender program and game. Also, graph neural networks (GNN) have shown excellent performance in supervised machine learning of graph structure data. Recently, combining GNN and DRL in graphical arranged environments has captivated much attention. This article provides a panoramic overview of all hybrid work. In order to facilitate generalisation, we incorporate Graph Neural Networks (GNN) into DRL agents in this research and create an action space that is problem specific. Deep Learning models called GNNs are innately made to generalise across graphs with varying sizes and architectures. This enables a broad range of network designs to ne learnt by proposed GNN-based DRL operator.

关键词： Games Deep reinforcement learning Graph neural networks Remote working Communications technology Expert systems

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A Numerical Investigation on the Effect of Lip Geometry with Tangential Film Cooling on an Annular Combustor 3rd

A Numerical Investigation on the Effect of Lip Geometry w...

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3rd National Aerospace Propulsion Conference, NAPC 2020

作者： Revulagadda, Ananda Prasanna Adapa, buchi Raju Godi, Sangamesh C. Pattamatta, Arvind balaji, C. Department of Mechanical Engineering Indian Institute of Technology Madras 600036 Chennai India Department of Mechanical Engineering B.M.S. College of Engineering Karnataka Bengaluru560019 India

ISBN: (纸本)9789811923777

The main objective of the present work is to study the effect of lip thickness and the lip cross section on the fluid flow behavior and effectiveness in tangential film cooling in a combustor liner. A three-dimensional jet exiting from a circular hole of diameter 2 mm is considered as coolant and the hot mainstream as a co-flow. The coolant and the mainstream are separated by a thick slab called the lip. A three-dimensional, steady-state numerical study is performed for different lip thicknesses (t) ranging from 0.25D to 2.5D and a blowing ratio of 0.5, 0.9, 1.5, and 2.5. Results are presented for a dimensionless stream-wise distance between 0 and 35. At all blowing ratios, a lip thickness of 0.25D (thin lip) performs better than the other lip thicknesses under consideration due to the attached flow. Additionally, it is observed that a change in the cross section (tapered) of the lip shows improvement in the film effectiveness, which may be attributed to the Coanda effect. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Film cooling

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A study of different compression algorithms for multispectral images

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materials Today: Proceedings 2023年 80卷 2193-2197页

作者： Vura, Swetha Patil, Premjyoti Patil, Shantakumar b. Department of Electronics and Communication Engineering School of Engineering and Technology CMR University Bengaluru India Research Scholar VTU Belagavi India B-108 Garuda Block M R Sannidhi Apartment Arehalli Utttarahalli Hobli Bengaluru India Department of Computer Science and Engineering Sai Vidya Institute of Technology Bengaluru India

Remote Sensing satellites acquire information about an area by analyzing the transmitted and reflected radio waves. The Earth Imaging satellites capture high resolution images which occupy more storage space on-board and consume a lot of bandwidth for downlink transmission. multispectral sensors represent information of the images in multiple bands which are typically less than 15. The multispectral image compression algorithms aim to reduce the size of the images while preserving their quality. This paper involves a study of various algorithms used for compression of multispectral imagery. © 2021

关键词： Satellites

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LoRa-IoT-based Smart Weather Data Acquisition and Prediction for PV Plant Using machine Learning 2nd

LoRa-IoT-Based Smart Weather Data Acquisition and Prediction...

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2nd International Conference on Women Researchers in Electronics and Computing, WREC 2023

作者： Ramalingam, S. Nagabushanam, m. Gururaja, H.S. baskaran, K. Department of ECE Sri Eshwar College of Engineering Coimbatore India Department of ECE M. S. Ramaiah Institute of Technology Belagavi India Department of ISE B. M. S. College of Engineering Bangalore India Department of EEE Alagappa Chettiar Government College of Engineering and Technology Karaikudi India

ISBN: (纸本)9789819970766

The use of renewable energy plants is in high demand worldwide. Reducing air pollution, greenhouse gas emissions from fossil fuels, economic development, and environmental protection are the primary reasons for the increased installation of renewable energy PV power plants but require efficient monitoring systems for better production. Commercial solar monitoring systems are relatively costly. Conventional monitoring devices are prohibitively expensive due to human error and the difficulty of PV plant monitoring. This research suggests a real-time IoT LoRa network that uses IoT technology in the communication layer and has the advantage of covering long distances and consuming little power. Our system has entirely collected the weather and climatic parameter data such as air temperature, PV temperature, and irradiation. The data were stored in the IoT cloud and visualized by IoT blynk Application. An efficient data prediction plays a crucial role in PV plant monitoring. This work proposes an ensemble learning algorithm for efficient data prediction for PV plant applications. The proposed model's determination coefficient (R2), mean Square Error (mSE), Root mean Square Error (RmSE), and mean Absolute Error (mAE) values are 1, 0.010988, 0.10482, and 0.075023, respectively. © 2024, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Support vector machines

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SoSpider:A bio-inspired multimodal untethered soft hexapod robot for planetary lava tube exploration

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Science China(Technological Sciences) 2023年第11期66卷 3090-3106页

作者： NIU LiZhou DING Liang ZHANG ShengJie YANG HuaiGuang GAO Haibo DENG ZongQuan LIU GuangJun HOSSAIN mokarram State Key Laboratory of Robotics and Systems Harbin Institute of TechnologyHarbin 150001China Department of Aerospace Engineering Ryerson UniversityToronto ON M5B 2K3Canada Zienkiewicz Institute for Modelling Data and AISwansea UniversitySwansea SA18ENUnited Kingdom

Soft robots have tremendous potential for applications in various fields,owing to their safety and flexibility embedded at the material *** robots,especially bio-inspired soft legged robots,have become one of the most active fields of current research in robotics thanks to their superior mobility and ability to face complex ***,it is arduous to establish a dynamic simulation model for soft robots,owing to their hyper-redundant degrees of freedom,hyper-elasticity,and nonlinearity of their soft *** this study,we designed,simulated,and fabricated a hexapod robot that achieves walking,crawling,pronking,and rolling with wheeled legs plus a soft body capable of shape change.A robot prototype was fabricated using 3D printing technology and soft silicone pneumatic ***,battery power,and control boards were integrated into the body of the robot for untethered *** have explored the capabilities of the robot in different conditions,especially in scenarios that simulate lunar and martian environments,demonstrating the motion performance of the *** results have shown promising potentials of the developed robot for future applications in planetary lava tube *** experimental and simulation results also show good agreements that indicate the potential predictive roles of simulation tools for soft robot design,planning,and control.

关键词： multimodal soft robot pneumatic simulation planetary exploration

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Implementation of Total Quality management in Infrastructure engineering 2nd

Implementation of Total Quality Management in Infrastructure...

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2nd International Conference on Industrial and manufacturing Systems, CImS 2021

作者： mangrulkar, Chidanand Sathe, Tushar Vairagade, Suraj Kumar, Narendra Singh, Ravi Pratap Department of Mechanical Engineering B.M.S. College of Engineering Bull Temple Road Bengaluru India Mumbai India Department of Mechanical Engineering Bajaj Institute of Technology Maharashtra Wardha India Department of Industrial and Production Engineering Dr. B. R. Ambedkar National Institute of Technology Jalandhar Jalandhar India Department of Mechanical Engineering National Institute of Technology Kurukshetra India

ISBN: (纸本)9789811961069

The quality and manufacturing process go hand in hand for any production unit. The potential growth of the industry depends upon the overall quality of its product in the market. Due to globalization, numerous firms are established for the fabrication and production of commercial goods. The total quality management (TQm) is the new concept incorporated to boosts the productivity of the firm with the different quality check levels introduced at the different stages of production. In case of infrastructure engineering, quality check is the most critical aspect as the products are to be utilized for public transport/use. In the present study, the implementation of total quality management (TQm) for infrastructure engineering such as electric tower fabrication in the transmission system is discussed. The quality check at each level of fabrication is studied for maintaining the overall quality of the products at the field site. This paper discusses the TQm concepts and practices adopted in the field of infrastructure engineering. The study is carried out using questionnaire survey conducted in Wardha region and also using physical interviews with managers and engineers at all levels and then subsequent analysis was done for its effective implementation. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Electric power transmission

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Digital Conscience: Investigating the State of Ethics in CS Curricula in India 24

Digital Conscience: Investigating the State of Ethics in CS ...

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20th Annual ACm Conference on International Computing Education Research, ICER 2024

作者： Parthasarathy, P.D. Lakshmi, T.G. Indra, R. Spruha, Satavlekar Joshi, Swaroop BITS Pilani KK Birla Goa Campus Goa India Shikha Institute of Education Mumbai India B.M.S. College of Engineering Bengaluru India Indian Institute of Technology Bombay India

ISBN: (纸本)9798400704758

Contemporary computer science graduates enter a world where numerous profound ethical dilemmas confronting society revolve around computing. Navigating the complexities of today's technological landscape requires a profound consideration of ethical questions. Deliberations on the kinds of data to be gathered or avoided, the ethical dimensions of algorithmic decision-making, and the role of digital platforms in safeguarding democratic principles are at the forefront of discussions. Additionally, addressing biases in large language models (LLms), ensuring responsible AI practices, and evaluating the technology industry's contributions to climate change are pivotal aspects. © 2024 Owner/Author.

关键词： Ethical technology

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SCAPS-1D based Analysis of Novel Absorber ASrTSe Stacked CZTS Thin Film Solar Cell 6

SCAPS-1D Based Analysis of Novel Absorber ASrTSe Stacked CZT...

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6th Parul International Conference on engineering and technology, PICET 2024

作者： Srivastava, Ashutosh Sarkar, Paramita Sharma, Gajendra Deb, Payel School of Computer Science Engineering and Technology Bennett University Greater Noida India Department of ECE B.M.S. Institute of Technology and Management Bangalore560064 India Mechanical Engineering Department PIET Parul University Gujarat 391760 India

ISBN: (纸本)9798350369748

Device performance improvement of Thin Film Solar cells (TFSC) through stacking of various absorber layers has been of great importance these days. In this paper, Novel absorber material Ag2SrSnSe4 (ASrTSe) has been stacked with existing Cu2ZnSnSe4CZTSe as a p-type absorber layer in most studied TFSC and the device performance has have been studied. For simulations, Solar Cell Capacitance Simulator (SCAPS 1-D) has been used. A promising Power Conversion Efficiency (PCE) of 21.16 % has been obtained showing an improvement from 18.06 % PCE in basic ASrTSe based solar cell. © 2024 IEEE.

关键词： Thin films

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