检索结果-内蒙古大学图书馆

2024 International Conference on E-Mobility, Power Control and Smart Systems, ICEMPS 2024

作者： Temara, Sheetal Samanthapudi, Sagar Varma Rohella, Piyush Gupta, Ketan Ashokkumar, S.R. University of The Cumberlands Dept of Computer & Information Sciences WilliamsburgKY United States The Polis Center Indiana University Purdue University Indianapolis Applied Data Science IndianapolisIN United States Payments & Commerce GoDaddy EdmondsWA United States University of The Cumberlands Dept. of Information Technology WilliamsburgKY United States Sri Eshwar College of Engineering Centre For Blockchain and Cyber Security Department of Computer and Communication Engineering Tamil Nadu Coimbatore India

ISBN: (纸本)9798350394399

This technical summary outlines the use of Artificial Intelligence (AI) and Natural Language Processing (NLP) to beautify patron banking decision-making. AI-based banking systems can autonomously identify patterns in consumer information and generate insights from a number of sources, including but not restricted to purchaser 360 profiles, 1/3-party statistics, and transactional statistics. With the assistance of AI and NLP, this gadget can answer customer questions relating to their banking wishes and offer personalized recommendations. AI-based monetary decision-making systems also permit banks to offer computerized customer service with information on clients' needs, respond speedily to purchaser requests, and offer quick acclaim for loans and other banking merchandise. Moreover, AI and NLP enhance patron engagement via chatbot-like solutions and purchaser sentiment analysis. The extraordinary AI and NLP-based services being presented by using banks are mentioned in this technical abstract. In conclusion, AI and NLP technology are giving banks the capacity to meet the desires of their customers and improve typical purchaser pleasure. © 2024 IEEE.

关键词： Artificial intelligence

来源：评论

学校读者我要写书评

暂无评论

Instagram Forensic Analysis Revisited: Does anything really vanish?

Instagram Forensic Analysis Revisited: Does anything really ...

引用

2021 International Symposium on Networks, computers and Communications, ISNCC 2021

作者： Kumar, Shreya Tarur Karabiyik, Umit Purdue University Interdisciplinary Information Security West LafayetteIN United States Purdue University Department Of Computer And Information Technology West LafayetteIN United States

ISBN: (纸本)9780738113166

Instagram has become one of the most popular and sought-after social media to be on. People of varying ages from various backgrounds use Instagram and in order to keep things exciting for their users, Instagram frequently rolls out new and exciting updates to their applications. One such feature is the 'vanish mode', that aids people to have secure and private chats. By enabling the vanish mode, people can send messages which would disappear once the vanish mode is disabled. This feature might be of interest to criminals who find ways to clear their activity trace. Disappearing messages might provide people a sense of comfort about the privacy of their chats, but poses a challenge to the investigators to track messages and obtain digital evidence to catch criminals such as child predators, drug dealers, and cyberbullies. This research focuses on analyzing this aspect of the app to identify any artifacts that could be useful in a forensic investigation. The results presented in this paper indicate the presence of vanished messages in the application database. The research also identified inconsistencies in the databases regarding the visibility of the vanished messages. Furthermore, the manner in which user-uploaded media is stored in the database was investigated, and the findings on user searches on the explore page and the shopping tab are presented. The research work adds to the existing knowledge of work done in the digital forensics field by detecting the presence of disappearing messages to aid investigations where Instagram is being analyzed. © 2021 IEEE.

关键词： Crime

来源：评论

学校读者我要写书评

暂无评论

Development of an IoT-Based Waste Management System for Schools - A Case Study of the university of Nigeria Nsukka

SSRN

引用

SSRN 2024年

作者： Anyaoha, Chukwuemeka O. Tobechukwu, Okamkpa G. Uchenna, Odoabuchi G.G. Udosen, Abasiafak N. Obi, Amarachukwu Ikechukwu Department of Mechanical Engineering The University of Nigeria Nsukka Nigeria Department of Computer and Information Technology Purdue University West LafayetteIN United States

The escalating challenges posed by improper waste disposal, especially environmental pollution, have spurred the need for innovative solutions. In this project, we present a comprehensive approach to address waste management inefficiencies by developing a Smart Waste Management System integrated with IoT technology. We were able to create an intelligent waste bin system that employs embedded IoT devices to monitor waste levels in real-time. The system's functionality is enhanced through a web application that facilitates real-time waste level monitoring. Additionally, the integration of a solar cell enhances the system's sustainability, providing a secondary power source for the hardware system. Our results demonstrate the practicality and effectiveness of the Smart Waste Management System, with an average real-time response time of 5.4 seconds, ensuring prompt waste collection interventions. © 2024, The Authors. All rights reserved.

关键词： Waste disposal

来源：评论

学校读者我要写书评

暂无评论

Foundry-fabricated photonic integrated circuit for flex-grid entanglement distribution

Foundry-fabricated photonic integrated circuit for flex-grid...

引用

2024 Conference on Lasers and Electro-Optics, CLEO 2024

作者： Miloshevsky, Alexander Lu, Hsuan-Hao Cohen, Lucas M. Myilswamy, Karthik V. Fatema, Saleha Alshowkan, Muneer Weiner, Andrew M. Lukens, Joseph M. Quantum Information Science Section Computational Sciences and Engineering Division Oak Ridge National Laboratory Oak RidgeTN37831 United States School of Electrical and Computer Engineering Purdue Quantum Science and Engineering Institute Purdue University West LafayetteIN47907 United States Research Technology Office and Quantum Collaborative Arizona State University TempeAZ85287 United States

ISBN: (纸本)9781957171395

We demonstrate a silicon photonic integrated circuit fabricated through the CMOS manufacturing process, which features a bidirectionally pumped microring to achieve over 116 high-fidelity polarization entangled channels covering the entire optical C+L-band for flex-grid entanglement distribution. © Optica Publishing Group 2024 © 2024 The Author(s)

关键词： Silicon photonics

来源：评论

学校读者我要写书评

暂无评论

Toward Multimodal Vertical Federated Learning: A Traffic Analysis Case Study

Toward Multimodal Vertical Federated Learning: A Traffic Ana...

引用

International Conference on computer Communications and Networks (ICCCN)

作者： Agnideven Palanisamy Sundar Feng Li Xukai Zou Tianchong Gao Department of Computer and Information Science Indiana University-Purdue University Indianapolis Indianapolis IN USA Department of Computer and Information Technology Indiana University-Purdue University Indianapolis Indianapolis IN USA School of Cyber Science and Engineering Southeast University Nanjing China Frontiers Science Center for Mobile Information Communication and Security Southeast University Nanjing China

ISBN: (数字)9798350384611

ISBN: (纸本)9798350348439

Federated Learning (FL) is an emerging subclass of Artificial Intelligence that decentralizes the learning process. Unlike the well-studied Horizontal Federated Learning (HFL), which requires the feature space of all participants to be the same, the newly emerging Vertical Federated Learning (VFL) allows participants to hold different features, provided the sample space is the same. This unique aspect enables VFL to incorporate features from different data modalities, a capability that has not yet been sufficiently explored. Currently, VFL researchers adapt datasets originally used for HFL by splitting the data vertically, whether it is text, tabular, or image data. In this paper, we extend the application of VFL to multimodal datasets, specifically in the field of Intelligent Transportation. We build models by combining local models from participants holding CCTV image datasets and Traffic flow tabular datasets. Due to the absence of suitable existing datasets, we introduce a new dataset, the INDOT traffic dataset, which also supports sequential training across time and distance. Our experiments demonstrate the efficiency of VFL in the multimodal traffic analysis scenario and aim to expand the scope of VFL research.

关键词： Training Adaptation models Federated learning Transportation Learning (artificial intelligence)

来源：评论

学校读者我要写书评

暂无评论

Foundry-fabricated photonic integrated circuit for flex-grid entanglement distribution

Foundry-fabricated photonic integrated circuit for flex-grid...

引用

CLEO: Science and Innovations in CLEO 2024, CLEO: S and I 2024 - Part of Conference on Lasers and Electro-Optics

关键词： Photonic integrated circuits

来源：评论

学校读者我要写书评

暂无评论

Robustly Optimized Deep Feature Decoupling Network for Fatty Liver Diseases Detection

arXiv

引用

arXiv 2024年

作者： Huang, Peng Hu, Shu Peng, Bo Zhang, Jiashu Wu, Xi Wang, Xin School of Computing and Artificial Intelligence Southwest Jiaotong University China Department of Computer and Information Technology Purdue University United States School of Computer Science Chengdu University of Information Technology China University at Albany State University of New York United States

Current medical image classification efforts mainly aim for higher average performance, often neglecting the balance between different classes. This can lead to significant differences in recognition accuracy between classes and obvious recognition weaknesses. Without the support of massive data, deep learning faces challenges in fine-grained classification of fatty liver. In this paper, we propose an innovative deep learning framework that combines feature decoupling and adaptive adversarial training. Firstly, we employ two iteratively compressed decouplers to supervised decouple common features and specific features related to fatty liver in abdominal ultrasound images. Subsequently, the decoupled features are concatenated with the original image after transforming the color space and are fed into the classifier. During adversarial training, we adaptively adjust the perturbation and balance the adversarial strength by the accuracy of each class. The model will eliminate recognition weaknesses by correctly classifying adversarial samples, thus improving recognition robustness. Finally, the accuracy of our method improved by 4.16%, achieving 82.95%. As demonstrated by extensive experiments, our method is a generalized learning framework that can be directly used to eliminate the recognition weaknesses of any classifier while improving its average performance. Code is available at https://***/HP-ML/MICCAI2024. Copyright © 2024, The Authors. All rights reserved.

关键词： Diseases

来源：评论

学校读者我要写书评

暂无评论

FileDES: A Secure, Scalable and Succinct Decentralized Encrypted Storage Network

arXiv

引用

arXiv 2024年

作者： Xu, Minghui Zhang, Jiahao Guo, Hechuan Cheng, Xiuzhen Yu, Dongxiao Hu, Qin Li, Yijun Wu, Yipu School of Computer Science and Technology Shandong University China ETH Zurich Switzerland Department of Computer and Information Science Indiana University-Purdue University Indianapolis United States BaishanCloud

Decentralized Storage Network (DSN) is an emerging technology that challenges traditional cloud-based storage systems by consolidating storage capacities from independent providers and coordinating to provide decentralized storage and retrieval services. However, current DSNs face several challenges associated with data privacy and efficiency of the proof systems. To address these issues, we propose FileDES (Decentralized Encrypted Storage), which incorporates three essential elements: privacy preservation, scalable storage proof, and batch verification. FileDES provides encrypted data storage while maintaining data availability, with a scalable Proof of Encrypted Storage (PoES) algorithm that is resilient to Sybil and Generation attacks. Additionally, we introduce a rollup-based batch verification approach to simultaneously verify multiple files using publicly verifiable succinct proofs. We conducted a comparative evaluation on FileDES, Filecoin, Storj and Sia under various conditions, including a WAN composed of up to 120 geographically dispersed nodes. Our protocol outperforms the others in terms of proof generation/verification efficiency, storage costs, and scalability. Copyright © 2024, The Authors. All rights reserved.

关键词： Scalability

来源：评论

学校读者我要写书评

暂无评论

On information Hiding in Natural Language Systems

arXiv

引用

arXiv 2022年

作者： Bihani, Geetanjali Rayz, Julia Taylor Computer and Information Technology Purdue University United States

With data privacy becoming more of a necessity than a luxury in today’s digital world, research on more robust models of privacy preservation and information security is on the rise. In this paper, we take a look at Natural Language Steganography (NLS) methods, which perform information hiding in natural language systems, as a means to achieve data security as well as confidentiality. We summarize primary challenges regarding the secrecy and imperceptibility requirements of these systems and propose potential directions of improvement, specifically targeting steganographic text quality. We believe that this study will act as an appropriate framework to build more resilient models of Natural Language Steganography, working towards instilling security within natural language-based neural models. Copyright © 2022, The Authors. All rights reserved.

关键词： Steganography

来源：评论

学校读者我要写书评

暂无评论

Biphoton spectral quantum interference for information processing and delay metrology 3

Biphoton spectral quantum interference for information proce...

引用

Quantum Computing, Communication, and Simulation III 2023

作者： Seshadri, Suparna Lu, Hsuan-Hao Lukens, Joseph M. Weiner, Andrew M. School of Electrical and Computer Engineering Purdue Quantum Science and Engineering Institute Purdue University West LafayetteIN47907 United States Quantum Information Science Section Oak Ridge National Laboratory Oak RidgeTN37831 United States Research Technology Office Arizona State University TempeAZ85287 United States

ISBN: (纸本)9781510659971

Broadband time-energy entangled photons feature strong temporal correlations with potential for precision delay metrology, but previous work has leveraged only time-of-flight information ultimately limited by the detection jitter and resolution of the time-tagging electronics. Firstly, our work pushes the entanglement-based nonlocal delay metrology from the conventional time-of-flight measurement to a new direction—two-photon interferometry with subpicosecond sensitivity independent of detection resolution. Next, we show the selective sensitivity of frequency-bin encoded Bell states to the sum and difference of biphoton-delays by using a novel reconfigurable setup capable of switching between the Bell states by successively employing single and dual spectral-line pumps. © 2023 SPIE.

关键词： Photons

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：