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2023 International Conference on Self Sustainable Artificial Intelligence Systems, ICSSAS 2023

作者： Mahesan, S.Saravana Umamaheswari, r. Uma, S. Ganesan, r. Vel Tech High Tech Dr. Rangarajan Dr.Sagunthala Engineering College Chennai India Vel Tech Rangarajan Dr.Sagunthala R&d Institute of Science and Technology Chennai India Rajalakshmi Institute of Technology Chennai India

ISBN: (纸本)9798350300857

For the past few years, consumers have changed their way of shopping. Nowadays people are more interested in online shopping than traditional style of shopping. As many companies turned their mode of marketing their product from normal brick shops to online platforms, where customers feel free to shop. Be it hardware, basic food item, attire and footwear industry or for that reality even the drug business, every one of them have been exceptionally inviting to use this means to acquire an edge as far as client securing and driving their deals. Whether it is online shopping or real time physical shopping, customer perception about a particular brand or a product will affect the purchase plan of the consumer. In this current competitive environment many companies try to sell different types of goods in order to retain the company's market as well as to retain and to attract the customers. In order to retain customers every company must understand their customer's perception about their product. Cosmetic products play a vital role in day to day activities of modern girls and women. In this study, customer perception towards buying cosmetic products through online was analyzed using association rule mining to find the relation that lies between feedbacks regarding the products purchased. © 2023 IEEE.

关键词： Association rules

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Experimental analysis of CI engine running with mango seed biodiesel at optimum fuel injection pressure

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Materials Today: Proceedings 2022年 62卷 1889-1893页

作者： Yogesh, P. Murali, B. Muniamuthu, Sumathy Department of Mechanical Engineering Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Tamil Nadu Chennai600062 India

The demand for energy the rapid consumption of fuels worldwide is making us search for alternative sources of energy. Further, there is a rapid decrease in fossil fuel supplies, which makes the search more intense. The most readily available natural energy source is mango seeds, which are available all over the country. So in this research work, A single-stage transesterification technique was used to make waste mango seed biodiesel from mango seed oil. The most widely used engines are diesel engines, which are found in public transportation, buildings, agricultural energy production, and marine engines. Besides, with the development in electronics technology, diesel engines are being extensively used in automobiles. The current study examines the effects of changing two distinct fuel injection pressures (200 & 300 bar) in a CI engine running with 10% of mango seed biodiesel (B10) and 20% of mango seed biodiesel (B20). At variable loads, In a CI engine, the experiment was performed at 1500 rpm with advanced injection timing (25° BTdC). BTE and The usage of brake-specific fuel was found to be higher in B10 and B20 blends, while combustion pollutants such as carbon monoxide, smoke emission, and hydrocarbons were reduced at full charge. But, NOx was discovered that emissions were greater in both the blends. © 2022

关键词： diesel engines

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Impact of AI for Online Shopping through Enhancing Personalised recommendations 2

Impact of AI for Online Shopping through Enhancing Personali...

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2nd IEEE International Conference on Emerging research in Computational science, ICErCS 2024

作者： Jayakumar, M. Ashok Kumar, S. Ganesh, K.Sankar Jenefa, Leena Akash Kandavel, S. Hariharan, S. Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology Department of Management Studies Chennai India Hindustan Institute of Technology and Science School of Management Chennai India Sharda University Faculty of Management Andijan Uzbekistan

ISBN: (纸本)9798331534950

Artificial intelligence may significantly improve the online shopping experience for both customers and businesses. By analysing consumer behavior and favorites, AI may deliver tailored product suggestions, assisting customers in discovering new goods of interest. AI technologies have transformed many aspects of online purchase, providing organizations with new opportunity to improve consumer experiences, streamline procedures, and encourage *** algorithms may potentially improve the online shopping experience by anticipating demand and altering inventory levels accordingly. Furthermore, AI-powered chatbots may provide immediate support to clients by answering their questions and addressing difficulties promptly. AI can help shops enhance customer happiness, boost revenue, and optimize processes. Virtual assistants that use natural language processing allow for seamless conversation and help throughout the shopping experience, in inventory management and route optimization, resulting in faster and more accurate deliveries. Artificial intelligence has improved customer-marketer interactions in online retail by automating shopping activities and providing personalized recommendations. AI has played a significant influence in transforming the retail industry. This study summarizes the benefits customers see from buying with AI-enabled online merchants. As more data is collected and evaluated, AI will continue to improve the online grocery shopping experience, making it more customized and effective. This paper's management implications are important since using AI in competitive firms can enhance decision-making © 2024 IEEE.

关键词： Sales

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Advancements and applications of position-sensitive detector(PSd): a review

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Optoelectronics Letters 2024年第6期20卷 330-338页

作者： Shaher dwik G.Sasikala S.Natarajan Department of Electronics&Communication Engineering School of Electrical&CommunicationVel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and TechnologyChennai 600062India Department of Computer Science and Engineering Amrita School of ComputingAmrita Vishwa VidyapeethamChennai 601103India1

This paper presents a review of the position-sensitive detector(PSd) sensor, covering different types of PSd and recent works related to this field. Furthermore, it explains the theoretical concepts and provides information about its structure and principles of operation. Moreover, it includes the main information about the available commercial PSds from different companies, along with a comparison between the common modules. The PSd features include high position resolution, fast response, and a wide dynamic range. These features make it suitable for various fields and applications, such as imaging, spectrometry, spectroscopy and others.

关键词： Advancements and applications of position-sensitive detector a review PSd

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Four wave mixing, average amplified spontaneous emission, and channel spacing effects on the optical transceiver systems based on multi pumped raman amplifiers

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Journal of Optical Communications 2025年第2期46卷 237-245页

作者： Prabu, ramachandran Thandaiah Simon, Judy Kapileswar, Nellore Vinod, dasari Naga Polasi, Phani Kumar Emam, Hazem Hazem Ali Department of ECE Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences SIMATS Saveetha University Tamilnadu Chennai India Department of ECE SRM Institute of Science and Technology Ramapuram Campus Tamilnadu Chennai India Department of Electronics and Communication Engineering Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Avadi Tamilnadu Chennai India Light Institute of Engineering Giza Egypt

This study has clarified the four-wave mixing, average amplified spontaneous emission, and channel spacing effects on the optical transceiver systems based on multipumped raman amplifiers. The employed spectral width is applied in the fiber core from 1450 nm to 1650 nm through the subgroups in the fiber link. The optical loss and fiber dispersion effects are demonstrated with the spectral wavelength band with different pumping levels. The optical loss is clarified in relation to different laser pumping levels and different number of links per fiber core channel at 1550 nm. As well as the dispersion factor is demonstrated in relation to different laser pumping levels and different number of links per fiber core channel at 1300 nm. Extended fiber length, amplifier gain, and repeater spacing are clarified with different laser pumping levels and different number of links variations per fiber core channel at 1550 nm. The data rate transmission is studied against different laser pumping levels and different number of links variations per fiber core channel at both 1550 nm and 1300 nm. The optimum fiber coupled power is demonstrated against different laser pumping levels and different number of links variations per fiber core channel at 1550 nm. The fiber coupling efficiency is studied and demonstrated against different laser pumping levels and different number of links variations per fiber core channel at 1550 nm. © 2024 Walter de Gruyter GmbH, Berlin/Boston.

关键词： Four wave mixing

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Translation of Neutrosophic INK-Algebra

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Neutrosophic Sets and Systems 2024年 66卷 119-135页

作者： AL-Omeri, Wadei Faris Kaviyarasu, M. rajeshwari, M. Department of Mathematics Faculty of Science and Information Technology Jadara University Irbid Jordan Department of Mathematics Vel Tech Rangarajan Dr Sagunthala R & D Institute of Science and Technology Tamilnadu Chennai600062 India School of Engineering Presidency University Bangalure India

This study investigates the philosophical foundations of the neutrosophic set(NS), as _rst proposed by Smarandache. It clari_es the connection between single-valued Nss and their function as a specialized subset in the larger context of Nss, particularly in the _elds of science and engineering. This paper investigates neutro- sophic INK-ideals(NINK-Is) within INK-algebras(INK-A) by using the notion of translation, which is positioned as an extension of intuitionistic fuzzy sets. The notion of translation neutrosophic INK-algebras(NTINK-A) is introduced and their fundamental characteristics are explored. In addition, properties associated with the translation of INK-subalgebra(INK-Ss) and INK-ideals(INK-I) are investigated, along with the dynamics of their multiplications, unions, and intersections in the context of neutrosophic INK-ideals(NINK-I). Further def- initions and theorems are added in the article, providing comprehensive insights complexities of NINK-A. © (2024), All rights reserved.

关键词： Algebra

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Novel Approach for detecting Brain Neoplasm Using deep Learning technique 3

Novel Approach for Detecting Brain Neoplasm Using Deep Learn...

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3rd IEEE International Conference on Intelligent techniques in Control, Optimization and Signal Processing, INCOS 2024

作者： Sridevi, S. Hemalatha, K. Mariammal, G. Vijayalakshmi, V. Vel Tech Rangarajan Dr. Sagunthala R&d Institute of Science and Technology Dept. of Computer Science and Engineering Chennai India Bannari Amman Institute of Technology Sathyamangalam Dept. of Bio Medical Engineering Erode India

ISBN: (纸本)9798350361186

One of the most grinding and significant provoca- tions in the domain of handling images related to medicine is the segmentation of brain neoplasms due to physical categorization with the assist of humans might provoke inappropriate prognosis also an evaluation. Also whenever you've got an abundance of information required being processed, it is a challenging job. sorted through. The extraction of neoplasm regions from pictures becomes difficult since brain neoplasms have a wide variety of appearances and resemble normal tissues. proposed a technique for extracting brain neoplasms from 2d MrIs of the brain using the CNN clustering algorithm, which was then used to train conventional classifiers and a convolutional neural network. For the purpose of this work, a live collection with diverse Neoplasm dimensions, places shapes, and intensity levels of images was used. Sci-kit-Learn was used to implement Support Vector Machine (SVM) and random Forest, two traditional classifiers, in the traditional classifier section. Then, due to it performing better than the conventional ones, went we now turn to Convolutional Neural Networks (CNN), that are constructed by using Tensorflow along with Keras. The accuracy rate achieved by CNN was 88.0%, which is impressive. © 2024 IEEE.

关键词： recurrent neural networks

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A robust Blind Watermarking technique for Improved Medical Image Security

A Robust Blind Watermarking Technique for Improved Medical I...

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2023 International Conference on System, Computation, Automation and Networking, ICSCAN 2023

作者： Shankar, A. Yazhinian, S. Kamaleshwar, T. Department of Electronics and Communication Engineering Manakula Vinayagar Institute of Technology Puducherry India Vel Tech Rangarajan Dr.Sagunthala R&d Institute of Science and Technology Department of Computer Science and Engineering Chennai India Vel Tech Rangarajan Dr. Sagunthala R & D Institute of Science and Technology Dept. of Computer Science & Engineering Tamilnadu Chennai India

ISBN: (纸本)9798350315127

Watermarking serves as a protective approach for medical data which ensures protection against illegal access. This new method uses wavelet decomposition to analyze and visualize images with varying resolutions, mirroring the human visual system. Watermarks are strategically added to the high-frequency subbands of wavelet-transformed images remaining imperceptible to the human eye, thereby enhancing the security of the watermarking scheme. However, the limitations of existing wavelets in detecting singularities across different frequency bands necessitated the development of novel filter designs capable of unveiling singularities in all orientations. Here it introduces innovative nontensor product wavelet filter banks, employing special symmetric matrices to uncover singularities comprehensively. Experimental investigations demonstrate the superiority of these new wavelet filter banks in singularity detection compared to conventional wavelets. Building upon these advancements, a modified significant difference watermarking algorithm is proposed, further enhancing the security of medical image data © 2023 IEEE.

关键词： Wavelet decomposition

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Sentinel-2 Satellite Image Enhancement and Compression Based on dWT and Vector Quantization 1

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International Conference on Small Satellites , ICSS 2022

作者： Selwin Mich Priyadharson, A. Thilipkumar, C. reddy, Lekkala Manoj Kumar ECE Department School of Electrical and Communication Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Avadi Tamil Nadu Chennai India EEE Department School of Electrical and Communication Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Avadi Tamil Nadu Chennai India

ISBN: (数字)9789811976988

ISBN: (纸本)9789811976971

Satellite images are created by transmitting a microwave signal to a target region from a spacecraft or aviation and then analyzing the returned signal. It is a radar image obtained by active sensors that can acquire all weather information regardless of the time of day or weather conditions, unlike typical optical sensors. The noise in the satellite image differs from that found in general photos captured with traditional optical sensors. Many satellite photos struggle from a common problem known as noise. To remove the noise on remotely sensed images, various forms of noise require different approaches. Identifying and denoising noise in remote sensing photographs is a tough task. A characteristic of satellite images is the presence of noise, where this noise often requires preprocessing of the images by a denoising method adapted prior to their compression, storage and transmission. To achieve a considerably higher-grade denoising image of remotely sensed images, wavelet is required and it is reviewed. A novel approach of satellite image enhancement and picture compression technology has been used in this research. When an image is contaminated by noise, it is filtered with a variety of filters before being treated using the dWT and compressed by 2d level space vector quantization, lossy compression technique, which removes noisy bits from the satellite image. Consequently, the picture will arrive ground station in less time. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： discrete wavelet transforms

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OpenCV Based real-Time Traffic Analyzer 1

OpenCV Based Real-Time Traffic Analyzer

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1st IEEE International Conference on Computing and data science, ICCdS 2024

作者： Pandi, C. Ponnuviji, N.P. Srinivasan, r. Parthasarathy, C. Karthick, P. rohith Kumar, V. Vel Tech Multi Tech Dr.Rangarajan Dr.Sakunthala Engineering College Avadi India R.M.K College of Engineering and Technology Puduvoyal India Vel Tech Rangarajan Dr Sagunthala R&D Institute of Science and Technology Avadi India Rajalakshmi Engineering College Department of Computer Science and Engineering Thandalam India

ISBN: (纸本)9798350365337

The report focuses on the development and implementation of a real-time traffic analysis system using OpenCV (Open Source Computer Vision Library). The project aims to leverage computer vision techniques to analyze and monitor traffic patterns, providing valuable insights for traffic management and urban planning. The system utilizes video streams from surveillance camerasplaced at strategic locations such as traffic intersections or highways. These video streams are processed in real-time usingOpenCV algorithms to extract relevant information about vehicles, traffic flow, and congestion levels. The extracted data is then analyzed and visualized to provide meaningful insights for traffic management authorities and urban planners. The paper involves several key steps, including video input processing, vehicle detection and tracking, traffic flow analysis, and congestion detection. Each step employs specific OpenCV functionalities and techniques to achieve accurate and efficient results. Throughout the report, we will discuss the various components and methodologies used in developing the system. We will explore the algorithms and techniques employed for vehicle detection and tracking, as well as the methods used to analyze traffic flow and detect congestion. Additionally, we willaddress challenges encountered during the project and present potential future enhancements for the system. The findings of this paper demonstrate the feasibility and effectiveness of using OpenCV-based systems for real-time traffic analysis. The insights gained from this research have the potential to contribute to more efficient traffic management strategies and informed decision-making in urban planning. © 2024 IEEE.

关键词： Traffic congestion

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