检索结果-内蒙古大学图书馆

International Conference on Computation System and Information Technology for Sustainable Solutions (CSITSS)

作者： Ashwin Varier Navdeep Malik Khushi Kumari Nandana Gireesh Vineetha K V Ullas S Department of Computer Science and Engineering Amrita School of Computing Amrita Vishwa Vidyapeetham Bengaluru India

ISBN: (数字)9798331505462

ISBN: (纸本)9798331505479

Autistic Spectrum Disorder (ASD) is a pervasive developmental disorder having issues with social communication, interests, coordination, attention, and health. People with autism are very sensitive and cannot afford a minor change in their surrounding environment. They do not know how to react according to the situation. “Level Up ASD (Autistic Spectrum Disorder)- Interactive Learning for Autistic Children” is an innovative educational tool designed to support children with ASD. Our paper aims to foster cognitive development and enhance coping mechanisms for children with autism. We focus on providing game-like environment for children to help them to interact easily & freely. Our paper consists of few levels, after which statistics are uploaded which displays the progress of the child.

关键词： Pediatrics Autism Information technology Database languages

来源：评论

学校读者我要写书评

暂无评论

Real-Time Visualization and Detection of Malicious Network Flows in IoT Devices using a Scalable Stream Processing Pipeline

Real-Time Visualization and Detection of Malicious Network F...

引用

International Conference on Parallel Distributed and Grid computing (PDGC)

作者： S. Saravanan B. Uma Maheswari Kanagasundaram K Department of Computer Science and Engineering Amrita School of Computing Amrita Vishwa Vidyapeetham Chennai India Department of Computer Science and Engineering Amrita School of Computing Amrita Vishwa Vidyapeetham Bengaluru India Nokia Networks Bengaluru India

ISBN: (数字)9798331521349

ISBN: (纸本)9798331521356

The continuous adoption of Internet of Things (IoT) devices has established notable security risks. In recent times, IoT devices are often targeted by malicious actors as IoT devices are limited with processing and memory resources. The detection of malicious network flows in real-time is necessary to maintain the security of IoT networks. This paper addresses the challenge by presenting a scalable stream processing pipeline that identifies malicious and non-malicious flows from IoT devices in real-time. The proposed system utilizes NFStream to generate network flows from device packets. The generated network flows are then published to a Kafka topic and consumed by a Kafka consumer. A distributed random forest-based machine learning model from Apache Spark MLlib is trained to classify these flows. The classification results are stored alongside the flows in a MongoDB database. Real-time visualization of the count of malicious and non-malicious flows for each IoT device is provided via Streamlit. Experimental results demonstrate the system's capability to accurately classify network traffic in real time while maintaining scalability for large-scale IoT environments. The proposed pipeline offers a robust solution for real-time malicious flow detection in large-scale IoT networks.

关键词： Accuracy Pipelines Distributed databases Data visualization Cluster computing Telecommunication traffic Real-time systems Internet of Things Object recognition Monitoring

来源：评论

学校读者我要写书评

暂无评论

A Performance Study of Block Proposing Mechanism in Ethereum 2.0

A Performance Study of Block Proposing Mechanism in Ethereum...

引用

IEEE International Conference on Blockchain (Blockchain)

作者： Zijie Liu Qinglin Zhao Shuhan Qi Li Feng Xiaofen Wang Sun Yi School of Computer Science and Engineering Macau University of Science and Technology Macau China School of Computer Science and Engineering University of Electronic Science and Technology of China Chengdu China Chinese Academy of Sciences Institute of Computing Technology Beijing China

ISBN: (数字)9798350351590

ISBN: (纸本)9798350351606

Ethereum 2.0 (ETH2) marks a significant evolution from Ethereum 1.0 (ETHl), playing a central role in the Web3.0 infrastructure. At its core, the consensus protocol Gasper greatly affects system performance. Given that Gasper's parameters are empirically determined, there is a clear necessity for parameter tuning. This paper presents a simulation-based study that models the performance of the block proposing mechanism within Gasper. Our simulation results illustrate the impact of design parameters (e.g., block proposing interval) on throughput and non-forking probability. They may enable us to find optimal parameter configure to balance the two-performance metrics. These findings help enhance the system performance of ETH2.

关键词： System performance Simulation Smart contracts Throughput Cryptocurrency Consensus protocol Proposals

来源：评论

学校读者我要写书评

暂无评论

An Adaptive Community Detection Algorithm based on Density Peaks 9

An Adaptive Community Detection Algorithm based on Density P...

引用

9th IEEE Smart World Congress, SWC 2023

作者： Fan, Xiang Shi, Lei-Lei Liu, Lu Han, Zi-Xuan Jiang, Liang Yuan, Bo Jiangsu University School of Computer Science and Telecommunication Engineering China Jiangsu University Jiangsu Key Laboratory of Security Technology for Industrial Cyberspace China University of Leicester School of Computing and Mathematical Sciences United Kingdom Jiangsu University of Science and Technology School of Ocean China

ISBN: (纸本)9798350319804

Community detection is an important task for analyzing the topological function and structure of a network, as well as for various application scenarios such as advertising, marketing, and influence maximization. Label propagation is a widely used community detection algorithm for complex networks due to its simplicity and fast computation. However, this algorithm has several limitations in terms of stability and the quality of discovered communities. To address these shortcomings, we propose a novel community detection algorithm based on density peaks (ACDDP) in this paper. Firstly, we improve the local density and minimum distance of nodes by using an adaptive selection of community center nodes. Secondly, we specify the node update order to enhance the robustness and performance of the algorithm. The experimental results on real networks demonstrate that our proposed algorithm achieves higher accuracy in community division while ensuring robustness compared to other popular algorithms. © 2023 IEEE.

关键词： Adaptive Selection Community detection Density Peaks

来源：评论

学校读者我要写书评

暂无评论

Reversible Watermarking Method with Low Distortion for the Secure Transmission of Medical Images

引用

computer Modeling in engineering & sciences 2022年第3期130卷 1309-1324页

作者： Rizwan Taj Feng Tao Shahzada Khurram Ateeq Ur Rehman Syed Kamran Haider Akber Abid Gardezi Saima Kanwal School of Computer and Communication Lanzhou University of TechnologyLanzhouChina Faculty of Computing The Islamia University of BahawalpurBahawalpurPakistan Department of Electrical Engineering Government College UniversityLahorePakistan College of Internet of Things Engineering Hohai UniversityChangzhouChina Department of Computer Science COMSATS University IslamabadIslamabadPakistan

In telemedicine,the realization of reversible watermarking through information security is an emerging research ***,adding watermarks hinders the distribution of pixels in the cover image because it creates distortions(which lead to an increase in the detection probability).In this article,we introduce a reversible watermarking method that can transmit medical images with minimal distortion and high *** proposed method selects two adjacent gray pixels whose least significant bit(LSB)is different from the relevant message bit and then calculates the distortion *** use the LSB pairing method to embed the secret matrix of patient record into the cover image and exchange pixel *** results show that the designed method is robust to different attacks and has a high PSNR(peak signal-to-noise ratio)*** MRI image quality and imperceptibility are verified by embedding a secret matrix of up to 262,688 bits to achieve an average PSNR of 51.657 *** addition,the proposed algorithm is tested against the latest technology on standard images,and it is found that the average PSNR of our proposed reversible watermarking technology is higher(i.e.,51.71 dB).Numerical results show that the algorithm can be extended to normal images and medical images.

关键词： LSB reversible watermarking medical images security data distortion

来源：评论

学校读者我要写书评

暂无评论

Self-Bidirectional Decoupled Distillation for Time Series Classification

IEEE Transactions on Artificial Intelligence

引用

IEEE Transactions on Artificial Intelligence 2024年第8期5卷 4101-4110页

作者： Xiao, Zhiwen Xing, Huanlai Qu, Rong Li, Hui Feng, Li Zhao, Bowen Yang, Jiayi Southwest Jiaotong University School of Computing and Artificial Intelligence Chengdu610031 China Tangshan Institute of Southwest Jiaotong University Tangshan063000 China Engineering Research Center of Sustainable Urban Intelligent Transportation Ministry of Education Chengdu611756 China University of Nottingham School of Computer Science NottinghamNG7 2RD 455356 United Kingdom Xi'an Jiaotong University School of Mathematics and Statistics Xi'an710049 China Tongji University School of Software Engineering Shanghai201804 China

Over the years, many deep learning algorithms have been developed for time series classification (TSC). A learning model's performance usually depends on the quality of the semantic information extracted from lower and higher levels within the representation hierarchy. Efficiently promoting mutual learning between higher and lower levels is vital to enhance the model's performance during model learning. To this end, we propose a self-bidirectional decoupled distillation (self-BiDecKD) method for TSC. Unlike most self-distillation algorithms that usually transfer the target-class knowledge from higher to lower levels, self-BiDecKD encourages the output of the output layer and the output of each lower level block to form a bidirectional decoupled knowledge distillation (KD) pair. The bidirectional decoupled KD promotes mutual learning between lower and higher level semantic information and extracts the knowledge hidden in the target and nontarget classes, helping self-BiDecKD capture rich representations from the data. Experimental results show that compared with a number of self-distillation algorithms, self-BiDecKD wins 35 out of 85 University of California, Riverside (UCR) 2018 datasets and achieves the smallest AVeraGe (AVG)_rank score, namely 3.2882. In particular, compared with a nonself-distillation baseline, self-BiDecKD results in 58/8/19 regarding 'win'/'tie'/'lose.' © 2020 IEEE.

关键词： Semantics

来源：评论

学校读者我要写书评

暂无评论

Harnessing the Power of web3: A Blockchain Approach to Crowdfunding

Harnessing the Power of web3: A Blockchain Approach to Crowd...

引用

International Conference on computing and Networking Technology (ICCNT)

作者： Richa Vivek Savant S Navin Sunder M Spoorthi Shinu M Rajagopal Roshni M Balakrishnan Department of Computer Science & Engineering Amrita School of Computing Amrita Vishwa Vidyapeetham Bengaluru India

ISBN: (数字)9798350370249

ISBN: (纸本)9798350370270

Conventional crowdfunding methods frequently involve intermediaries, lack transparency, encounter regulatory challenges, and are not highly secure. Instead, a blockchain-based agreement can be formed, carried out, and enforced between members without the assistance of a third party. To achieve this, creating smart contracts, with blockchain-compatible executable code, is crucial. Additionally, cryptocurrency can be used, for which crypto wallets can securely store private keys, giving users access, control, and ownership over their digital assets while also encouraging decentralization and interoperability. Crypto wallets protect users’ assets against cyber threats and unauthorized access by utilizing technologies like encryption, two-factor authentication, and multi-signature support to provide strong authentication and protection. Using a web3 platform like Thirdweb eliminates the need for an administrator by providing automated tools and infrastructure that streamline the creation, management, and deployment of decentralized applications. This study proposes the use of web3 technology to create a multi-user cross-platform blockchain-based crowdfunding DApp which employs Ethereum, smart contracts via solidity and crypto wallets for decentralized fundraising.

关键词： Access control Crowdfunding Codes Smart contracts Authentication Decentralized applications Encryption Cryptocurrency Protection Interoperability

来源：评论

学校读者我要写书评

暂无评论

A Strategic Analysis of Food Demand Using Machine Learning and Explainable AI

A Strategic Analysis of Food Demand Using Machine Learning a...

引用

International Conference for Convergence of Technology (I2CT)

作者： M Adith Panduranga Katti Deepa Gupta Department of Computer Science and Engineering Amrita School of Computing Amrita Vishwa Vidyapeetham Bengaluru India

ISBN: (数字)9798350394474

ISBN: (纸本)9798350394481

The growing importance of meal demand forecasting is increasingly recognized as vital for business growth, aiding in efficient procurement planning and minimizing waste. This paper employs the 'Meal demand forecasting' dataset from Kaggle to analyze customer order patterns at the top ten profit-making fulfillment centers, aiming to predict future food item demand. This focus enhances the precision of our analysis and underlines the need for optimized inventory management in key areas. Various regression models, including Random Forest, Xgboost, Linear, Ridge, and Lasso Regressors etc. were tested. The models were assessed through the examination of metrics such as Root Mean Square Error (RMSE), Mean Absolute Error (MAE), and R-squared to provide a comprehensive evaluation. Furthermore, this study also addresses model interpretability, a significant gap in current research, by explaining how different features impact demand predictions. This effort aims to provide more understandable and actionable insights for strategic decision-making in meal demand forecasting.

关键词： Deep learning Procurement Measurement Demand forecasting Predictive models Inventory management Planning

来源：评论

学校读者我要写书评

暂无评论

Elevating Login Security with Hybrid Encryption Enhanced QR Authentication

Elevating Login Security with Hybrid Encryption Enhanced QR ...

引用

International Conference on Communication and Electronics Systems (ICCES)

作者： Busam Venkata Lahari Busireddy Dhathri G Nithin Kavitha C.R. Department of Computer Science & Engineering Amrita School of Computing Bengaluru Amrita Vishwa Vidyapeetham India

ISBN: (数字)9798350377972

ISBN: (纸本)9798350377989

As the digital world continues to grow, the need for robust and secure authentication systems to protect sensitive information has never been more important. This paper introduces a developing approach to login security by combining QR Code technology with the highly regarded RSA Signature Scheme (Rivest-Shamir-Adleman) and Advanced Encryption Standard (AES). This combination aims to significantly improve login security. Traditional username-password based authentication is vulnerable to phishing attacks, password compromise, cyber exploits, intellectual property theft, brute force attacks. On the other hand, RSA has built a strong reputation, mainly because it uses a strong encryption scheme that makes it extremely difficult for the agent to get access to sensitive data. This two-factor authentication system provides security, while ensuring user convenience by merging the RSA and AES algorithms with QR codes. This paper aims to combine QR code-based login consistently with existing digital platforms, using the strengths of both RSA and AES encryption. This dual-layered security approach was created to attain significant advancements in protecting information on an international scale while ensuring ease of use for the end-user. In addition, the paper will address possible challenges such as key management and the development of effective authentication and access control mechanisms, making sure a complete and secure authentication solution. Also, 4 different combinations of algorithms are compared, out of which RSA and AES are the best combinations ever.

关键词： Phishing Authentication QR codes Passwords Brute force attacks Threat assessment Encryption Security Usability Standards

来源：评论

学校读者我要写书评

暂无评论

Smart Steps to Sporting Success: IoT-Driven Footwear Innovations

Smart Steps to Sporting Success: IoT-Driven Footwear Innovat...

引用

International Conference on computing and Networking Technology (ICCNT)

作者： S Thangam Gadi Joshith S Santhosh V Harish J Jesy Janet Kumari Department of Computer Science and Engineering Amrita School of Computing Amrita Vishwa Vidyapeetham Bengaluru India

ISBN: (数字)9798350370249

ISBN: (纸本)9798350370270

Using the cloud platform Blynk IoT, smart sneakers with built-in step and calorie monitoring were created with athletes in mind. The primary characteristic of the smart shoe is its ability to detect early signals of cramping in the muscles during athletic exercises. This allows for prompt response to protect the athlete’s foot and performance. It also acknowledges the vulnerabilities that athletes may encounter during training; this feature guarantees that athletes can notify the user by sending them messages in the event of any potential hazard. Beyond features for health and safety, the smart shoe calculates steps and tracks activity, giving athletes useful information for their training and recuperation regimens. With a focus on safety first, this project tackles important issues like sensor accuracy, device longevity, user comfort, and data security to produce a solution that improves athletic performance. By providing athletes with a comprehensive tool for health monitoring and personal safety, the smart shoe seeks to redefine wearable technology in sports.

关键词： Training Performance evaluation Heating systems Technological innovation Footwear Muscles Hazards Health and safety Monitoring Sports

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：