检索结果-内蒙古大学图书馆

5th International Conference on Image Processing and Capsule Networks, ICIPCN 2024

作者： Abisha, D. Navedha Evanjalin, R. Ida Christy, J. Syed Rabiya, M. Bala Dinesh, S. National Engineering College Department of Computer Science and Engineering Kovilpatti India

ISBN: (纸本)9798350367171

ARtViz, a novel approach to augmenting traditional art books with marker-based augmented reality (AR) technology for immersive 3D visualization experiences. Leveraging Vuforia, a leading AR platform, in conjunction with Unity, a versatile game development engine, ARtViz offers an innovative way to engage readers with art books. By integrating 3D models and interactive elements, ARtViz transforms static images and text into dynamic, interactive exhibits that bring artworks to life. The process begins with the creation of marker images or symbols specific to each artwork or section within the art book. These markers act as triggers for the AR content and are uploaded to the Vuforia Image Target database. In Unity, the AR scene is set up with an ARCamera and GameObjects representing the 3D models corresponding to the artworks. When users scan the markers with a mobile device equipped with the ARtViz app, the ARCamera detects the markers and overlays the 3D models onto the pages of the art book. The benefits of ARtViz are manifold. Users can explore artworks from various angles, zoom in to see intricate details, and interact with the pieces through touch gestures. For educational purposes, ARtViz provides contextual information, artist biographies, and audio guides, enriching the learning experience. Moreover, ARtViz promotes accessibility by offering an inclusive platform for individuals with visual impairments, who can now experience art through tactile and auditory feedback. ARtViz represents a significant advancement in art book technology, bridging the gap between traditional printed media and digital interactivity. This project opens new avenues for art enthusiasts, educators, and museum visitors to engage with art in a dynamic and immersive manner. Future enhancements could include crowd-sourced content, user-generated AR experiences, and collaborations with art institutions for curated AR exhibitions. ARtViz stands at the forefront of the convergence of art, tec

关键词： Augmented reality

来源：评论

学校读者我要写书评

暂无评论

Node to node communication security In IoT networks with hybrid cryptography and steganography system

Node to node communication security In IoT networks with hyb...

引用

International Conference on Artificial Intelligence, Blockchain, Computing and Security, ICABCS 2023

作者： Sreevidya, Medam Venkata Ramyadevi, R. Chamundeeswari, V. Vijaya Department of Computer Science and Engineering Saveetha Engineering College Chennai India

ISBN: (纸本)9781032669663

The Internet of Things refers to actual objects or items that have been integrated with sensors, algorithms, and a few other technologies to exchange information with other devices and networks online (IoT). As IOT devices are publicly available to everyone on the network, it is required to be conscious of security risks and dangers posed by cyberattacks;as a result, it should be guarded. Plain information is changed to encrypted information in cryptography before being delivered, and it is then converted back to plain text after receiving a response from the recipient. Steganography is the practice of encoding hidden information into an audio, video, picture, or text file. In this project, it is suggested that IoT network data be encrypted using cryptography, and that the encrypted message be concealed somewhere in a digital image through steganography. It is also suggested to enhance the number of bits that can be stored within a single picture pixel. © 2024, CRC Press/Balkema. All rights reserved.

关键词： Cryptography

来源：评论

学校读者我要写书评

暂无评论

Skill measuring test for preschoolers

Skill measuring test for preschoolers

引用

International Conference on Artificial Intelligence, Blockchain, Computing and Security, ICABCS 2023

作者： Nagappan, G. Narmatha, K. Nithiyasri, K.M. Sai Gayatri, S. Department of Computer Science and Engineering Saveetha Engineering College Chennai India

ISBN: (纸本)9781032669663

Psychometric evaluation evaluates the information, abilities, capacity and persona trends of someone being assessed. Since many youngsters are joined in faculty earlier than they meet the specified age criteria, they lack the fundamental knowledge and information. This creates a susceptible base for them of their scholar life. In order to check their capacity to get promoted to better grade this psychometric check might be beneficial to get evaluation of the child’s intelligence. This check consists of five kinds of intelligence. They are Verbal or Linguistic Intelligence, Mathematical/Logistic Intelligence, Interpersonal Intelligence, Intrapersonal Intelligence, Naturalistic Intelligence. © 2024, CRC Press/Balkema. All rights reserved.

关键词： Interpersonal intelligence intrapersonal intelligence Linguistic intelligence Logical intelligence Logistic Intelligence Multiple intelligence Naturalistic intelligence Verbal Intelligence

来源：评论

学校读者我要写书评

暂无评论

Market Basket Analysis for Retail Sales Optimization 2

Market Basket Analysis for Retail Sales Optimization

引用

2nd International Conference on Emerging Trends in Information Technology and engineering, ic-ETITE 2024

作者： Kumar, P. Manisha, K.N. Nivetha, M. Rajalakshmi Engineering College Department of Computer Science and Engineering Chennai India

ISBN: (纸本)9798350328202

Supermarkets and grocery stores aim to improve customer experience and maximize sales. Recommending frequently bought items and optimizing the layout of products can enhance customer satisfaction and sales revenue. The proposed system 'Market basket analysis for retail sales optimization' introduces a data-driven solution that leverages association rule mining algorithms, namely Eclat, FP-growth, and Apriori to recommend frequently purchased grocery items and optimize their placement within the store layout. The paper starts by utilizing a rich dataset of daily purchased grocery items, including historical transaction data. By employing the algorithms, the system uncovers hidden patterns, associations, and correlations among the purchased items. These algorithms efficiently mine frequent itemsets, allowing the system to recommend items that are often bought together. In addition to personalized recommendations, the project optimizes the store layout. Items that are frequently purchased together are strategically positioned in proximity to enhance customer convenience and encourage additional purchases. Simultaneously, it helps store owners to maximize sales by strategically placing items based on their association with one another. This paper bridges the gap between data analytics and retail optimization, offering a solution that benefits both customers and store operators. © 2024 IEEE.

关键词： Sales

来源：评论

学校读者我要写书评

暂无评论

Implementation of Chat Bot Using Sequence to Sequence Model 1st

Implementation of Chat Bot Using Sequence to Sequence Model

引用

1st International Conference on Artificial Intelligence Towards Smart Sustainable Society, AISSS 2023

作者： Balarengadurai, C. Taranum, Ayesha Hamesaveni, M. Pruthvi, P.R. Department of Computer Science and Engineering Vidyavardhaka College of Engineering Mysuru India

ISBN: (纸本)9789819775910

A Twitter account was made with the efficient use of a conversation bot as its main goal, and it has since accumulated followers consistently and automatically. Software systems can be interfaced with using a wide variety of user interfaces, such as command line, GUI, menu-driven, form-based, natural language, and others. NLP and neural networks are two techniques that chat bots that are powered by AI may use to process human language. It has fruitful conversations with users and provides satisfactory answers to their inquiries. The result of its usefulness, chat bots are being used by more businesses to quickly communicate with their clients. Software with the ability to independently speak with a person is known as a chat bot. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Chatbots

来源：评论

学校读者我要写书评

暂无评论

Understanding Global Warming: An In-depth Analysis and Future Predictions 5

Understanding Global Warming: An In-depth Analysis and Futur...

引用

5th IEEE International Conference on Computing, Power, and Communication Technologies, IC2PCT 2024

作者： Julian, Anitha Umar Mohammed, E. Saveetha Engineering College Department of Computer Science and Engineering Chennai India

ISBN: (纸本)9798350383522

This research conducts a comprehensive analysis of global warming trends by integrating Earth surface temperature, CO2 emissions, and world population data. Applying sophisticated machine learning models (SARIMAX, ARIMAX, VAR, VECM), the study uncovers complex interplays between these variables and provides accurate future trend predictions. The data collection and preprocessing ensure reliability, while the analysis of Earth surface temperature identifies the patterns. The investigation into the relationship between CO2 emissions and climate dynamics reveals the impact of human activities. Exploring the correlation between world population growth and environmental repercussions, Machine learning models scrutinize population trends. Predictive modeling using SARIMAX, ARIMAX, VAR, and VECM forecasts future trends, validated for accuracy. Conclusions emphasize the unique contributions of each model, discussing implications for climate change mitigation. Future research should focus on recommendations that aim to refine predictions, contributing valuable insights to the ongoing dialogue on global warming for evidence-based decision-making toward a sustainable future. © 2024 IEEE.

关键词： ARIMAX correlation interplays mitigation predictions preprocessing SARIMAX VAR VECM

来源：评论

学校读者我要写书评

暂无评论

Innovative Approaches in Cataract Detection: Exploring Transfer Learning and Image Segmentation Techniques

Innovative Approaches in Cataract Detection: Exploring Trans...

引用

2024 International Conference on Smart Systems for Applications in Electrical sciences, ICSSES 2024

作者： Vijay, K. Vishnu, S. Sankar, Shreeram Manohar, Eashaan Rajalakshmi Engineering College Department of Computer Science and Engineering Chennai India

ISBN: (纸本)9798350364040

The natural lens of the eye gets foggy in cataracts, a common eye ailment that seriously harms vision and overall eye health. As the disease gets worse, it may block light from reaching the retina, developing clouded vision and possibly blindness if treatment has not been given. Effective medications for preserving the eye's clarity rely on early detection of cataracts. Our research aims to use innovative methods, especially deep learning and convolutional neural networks (CNNs), to deal with this difficulty. The creation of a computer-based system that may detect cataracts in eye pictures is made feasible by these precise algorithms. Through the use of CNNs, the system is able to identify complex patterns in these images and identify between eyes that are healthy and those that have cataracts. Drawing up an unbiased and accurate way for the timely identification of cataracts is the core objective of our research. An aid like this would improve overall eye care in addition to immediate medical care for this problem. By incorporating techniques from deep learning, we expect to discover a sustainable solution that can help medical professionals treat cataracts as quickly as possible, limiting the detrimental impact on their vision and brightening the lives of those who are affected. © 2024 IEEE.

关键词： Image segmentation

来源：评论

学校读者我要写书评

暂无评论

NeuroProbe: A Performance Profiling Feed Forward Neural Network Simulator for Hardware Interaction Analysis

引用

SN computer science 2025年第5期6卷 1-22页

作者： Ayyappan, Binu Kumar, G. Santhosh Department of Computer Science Cochin University of Science and Technology Kochi India Department of Artificial Intelligence and Data Science Rajagiri School of Engineering & Technology Kochi India

NeuroProbe is a simple neural network simulator designed by authors specifically for educational purposes focusing on simulating inference phase on a computationally capable embedded hardware, aiming to provide a deeper understanding of hardware interactions and performance improvement. This simulator incorporates performance profiling capabilities, allowing students and educators to analyze and optimize the performance of a simulated trained neural network. By simulating the intricate hardware interactions, NeuroProbe enables users to gain insights into how various components impact the overall performance of neural networks. Using this simulator, learners can experiment with different configurations and architectures, identify potential bottlenecks, and explore optimization strategies to enhance neural network performance before deploying the model on an Edge Computing environment. It also enriches computer science education by enabling learners to gain deeper insights into hardware interactions and performance improvement. By identifying performance bottlenecks, learners can refine their understanding of neural networks and develop skills in optimizing their models for enhanced performance. In conclusion, NeuroProbe empowers users to bridge the gap between theoretical knowledge and practical implementation of neural network on an embedded device, fostering a more comprehensive understanding of neural networks and their hardware requirements. Currently, it is focused solely on single-threaded CPU-based computation enabling SSE, AVX. At present, NeuroProbe does not support SIMD extensions such as AVX-FMA, AVX-512, multi-threaded computation, and accelerators such as NPU, TPU, and GPU. © The Author(s), under exclusive licence to Springer Nature Singapore Pte Ltd. 2025.

关键词： Hardware–software interactions Neural network simulator NeuroProbe Performance bottlenecks Performance profiling Simulations

来源：评论

学校读者我要写书评

暂无评论

Traffic Sign Recognition for Automatic Vehicles 2

Traffic Sign Recognition for Automatic Vehicles

引用

2nd IEEE International Conference for Women in Innovation, Technology and Entrepreneurship, ICWITE 2024

作者： Sneha, P. Nagarathna, N. Bms College of Engineering Department of Computer Science and Engineering Bangalore India

ISBN: (纸本)9798350383287

In the realm of autonomous driving, traffic sign recognition (TSR) is of utmost importance since it is crucial to the ability of driverless cars to read and understand both permanent and roadside temporary signs that are displayed. This study's primary objective is to develop a comprehensive convolution neural network (CNN) and Densenet201 traffic sign recognition system. The successful implementation of such a system is crucial for the progress of autonomous driving technology, as it significantly contributes to enhancing road safety. We intend to precisely recognize and classify traffic signs by utilizing the strength of a pre-trained Densenet201 model, famous for delivering cutting-edge performance in image recognition applications. We used data augmentation approaches to strengthen the model's robustness and enhance its generalization skills while optimizing it using a large dataset comprising traffic sign photos. Python and the Tensorflow deep learning framework serves as the backbone of our proposed system. By utilizing a publicly available traffic sign dataset, we trained and evaluate our system's performance, and subsequently,compared it against cutting-edge methods. The desired result is a very efficient system for recognizing traffic signs that has a chance to drastically lower road accidents brought on by human error and raise overall road safety. © 2024 IEEE.

关键词： Roads and streets

来源：评论

学校读者我要写书评

暂无评论

Auction platform using blockchain

Auction platform using blockchain

引用

International Conference on Artificial Intelligence, Blockchain, Computing and Security, ICABCS 2023

作者： Nagappan, G. Ravikumar, S. Rishabendran, R. Sri Hari Krishnan, R. Department of Computer Science and Engineering Saveetha Engineering College Chennai India

ISBN: (纸本)9781032669663

An online auction is an auction as similar to an in-person auction but it is held over the Internet. It is an easy and a popular way to buy and sell products and services using cryptocurrency. Online auctions have grown to be a significant contributor to the e-commerce sector. But there exist some problems that concerns data integrity, legitimacy and traceability of bidding. The proposed system is an auction platform based on Ethereum smart contracts which are stored in Blockchain. An auction in a decentralized network, powered by blockchain technology eliminates the need for a middleman and the high costs associated with bidding and buying in an auction. Decentralized applications increase the transparency and flexibility of applications. The intricate nature of blockchain technology and the challenges associated with its integration require specialized knowledge that differs from the conventional approach to application development. © 2024, CRC Press/Balkema. All rights reserved.

关键词： Smart contract

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：