检索结果-内蒙古大学图书馆

International Conference on engineering and Emerging Technologies (ICEET)

作者： M. Jeyaselvi C Jayakumar M. Sathya S Jafar Ali Ibrahim N.S. Kalyan Chakravarthy SRM Institute of Science & Technology Kattankulathur Department of Computer Science and Engineering Sri Venkateshwara College of Engineering Sriperumbudur Dept of Information science and Engineering AMC Engineering College Bengaluru Karnataka Dept of Internet of Things Vellore Institute of Technology Vellore TN Director - Data Science and Business Systems QIS College of Engineering and Technology Ongole AP

ISBN: (纸本)9781665491075

The revolutionary expansion in processing and storing mechanisms through the internet has given rise to affordable and powerful computing features. These qualities have been enhanced as a result of this growth. Computing in the cloud is an emerging technology that provides users with the ability to access data storage facilities as well as application access facilities in an online setting. This approach presents an almost infinite number of chances and difficulties. In light of this, ensuring the safety of one’s data and preventing the accumulation of duplicate or otherwise identical information in the cloud are both highly critical concerns that must be handled. As a result, a method known as deduplication was created to cut down on the amount of data in the identical storage system. In this investigation, a unique approach for removing repetitive or duplicate data from cloud servers, which will also help reduce the amount of internet access and storage space needed, has been presented. The results of the experiments show that the suggested system not only offers a higher level of protection for the data that is stored in stored in the cloud but also addresses the primary issues of rent systems.

关键词： Resistance Cloud computing data privacy data security Memory data compression Safety

来源：评论

学校读者我要写书评

暂无评论

Bridging Biomimetic Designs with Advanced Deep Learning for Next-Generation Sustainable Wearable Technologies

Bridging Biomimetic Designs with Advanced Deep Learning for ...

引用

Sustainable Computing and Integrated Communication in Changing Landscape of AI (ICSCAI), International Conference on

作者： Priyameet Kaur Keer N Lakshmi Deepthi Ginni Nijhawan Nandini Shirish Boob Vivek Kumar C Taqi Mohammed Khattab Al-Rubaye Master of Business Administration New Horizon College of Engineering Bangalore India Computer Science and Engineering(Data Science) Institute of Aeronautical Engineering Hyderabad India Lovely Professional University Phagwara India Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Chennai Tamilnadu Department of Civil GRIET Bachupally Hyderabad Telangana India Department of Medical Laboratory Technology College of Medical Technologies The Islamic University Najaf Iraq

ISBN: (数字)9798350355338

ISBN: (纸本)9798350355345

Demand for smart gadgets and ecologically friendly solutions has spurred new ideas. This study uses biomimetic designs and powerful deep learning to forecast a major change in next-generation electronics. Portable technology is developing worldwide, and the opening emphasizes the need to consider the environment when producing them. A novel strategy combining biomimicry and deep learning might increase smart device accuracy, energy efficiency, and biomimicry scores. This project meticulously integrates biomimetic design with cutting-edge deep learning. Biomimicry improves wearable tech by taking ideas from nature. Strong deep learning algorithms based on artificial neural networks provide predictive analytics and user adaption. The project was designed to investigate biomimetic settings and user behaviors in a controlled environment, and the datasets were carefully selected. Across several success metrics, the proposed method performs better. The accuracy increases greatly, demonstrating how effectively biomimetic concepts and deep learning techniques work together to improve accuracy and reliability. Energy efficiency increases, indicating that biomimetic methods prioritize environmental protection. Biomimicry indices indicate that mimicking natural systems works, proving the method is effective. This study provides an eco-friendly technique to produce smart gadgets. Smoothly combining biomimicry and deep learning improves devices and satisfies environmental demands. This study shows how nature-driven, nature-friendly technology may change things. As smart tech evolves, this study ensures that new technologies are cutting-edge and environmentally friendly. Biomimetic designs and deep learning have revolutionized sustainable technologies. It promotes a more compassionate and eco-friendly future.

关键词： Deep learning Technological innovation Accuracy Biomimetics Biological system modeling Energy efficiency Wearable devices Sustainable development Smart devices Next generation networking

来源：评论

学校读者我要写书评

暂无评论

Competitive and Weighted Evolving Simplicial Complexes

arXiv

引用

arXiv 2024年

作者： Guo, Zhaohua Miao, Rui Guo, Jin-Li Yuan, Yuan Forrest, Jeffrey Yi-Lin School of Ocean and Civil Engineering Shanghai Jiao Tong University 200240 China Department of Data Science and Engineering Xi’an Innovation College of Yan’an University 710100 China Business School University of Shanghai for Science and Technology Shanghai200093 China Department of Accounting Economics Finance Slippery Rock University Slippery RockPA16057 United States

A simplex-based network is referred to as a higher-order network, in which describe that the interactions can include more than two nodes. Many multicomponent interactions can be grasped through simplicial complexes, which have recently found applications in social, technological, and biological contexts. The paper first proposes a competitive evolving model of higher-order networks. We introduce the difference equation analysis approach in the high-order network to make the analysis network more rigorous. It avoids the assumption that the degrees of nodes are continuous in the traditional analysis network. We obtain an analytical expression for the distribution of higher-order degrees by employing the theory of Poisson processes. The established results indicate that in a d-order network the scale-free behavior for the (d-1)-dim simplex with respect to the d-order degree is controlled by the competitiveness factor. As the competitiveness increases, the d-order degree of the (d-1)-dim simplex is bent under the logarithmic coordinates. While the e( © 2024, CC BY.

关键词： Poisson distribution

来源：评论

学校读者我要写书评

暂无评论

Expression of Concern for: Adaptive Modeling for Real-Time data Analysis with Machine Learning

Expression of Concern for: Adaptive Modeling for Real-Time D...

引用

Smart Generation Computing, Communication and Networking (SMART GENCON), International Conference on

作者： Mahesh TR Shweta Singh Vaibhav Srivastav Hitesh Kalra T. Surulivel rajan Gitanjali B. Yadav Computer Science and Engineering Faculty of Engineering and Technology JAIN (Deemed-to-be University) Bangalore Karnataka India Maharishi School of Engineering and Technology Maharishi University of Information Technology Uttar Pradesh India Department of Computer Science & Engineering Vivekananda Global University Jaipur India Centre of Interdisciplinary Research in Business and Technology Chitkara University Institute of Engineering and technology Chitkara University Punjab India Department of Mechanical Engineering Prince Shri Venkateshwara Padmavathy Engineering College Chennai Department of Artificial Intelligence & Data Science Vishwakarma Institute of Information Technology Pune India

ISBN: (数字)9798350319125

ISBN: (纸本)9798350319132

Adaptive Modeling for actual-Time information evaluation with system studying is a critical studies area in the modern-day technology of information-in depth evaluation. Conventional gadget studying strategies are static, meaning that the models do no longer evolve as information scientist interactions occur or because the data changes over time. As a result, models can grow to be obsolete and further downstream machine overall performance will become constrained. Consequently, the want for adaptive modeling algorithms has arisen with the intention to permit dynamic, system-stage getting to know from statistics. Such strategies look to provide affordable predictions for real-time inputs, while also looking forward to enough destiny reaction behavior to make more accurate predictions for destiny, unseen facts. The purpose of this approach is to create a solution which optimally balances accuracy and flexibility for an ever converting environment. One of these system could be carried out for predictive upkeep, diagnostic analysis, cyber security detection or self-sustaining vehicle decision making.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Exploring the Benefits of DNS-Based Authentication for Wireless Network Security

Exploring the Benefits of DNS-Based Authentication for Wirel...

引用

Smart Generation Computing, Communication and Networking (SMART GENCON), International Conference on

作者： Lakshya Swarup R. Jayadurga Monali R. Borade Ramachandran T Akhilendra Pratap Singh Savita Prabha Centre of Interdisciplinary Research in Business and Technology Chitkara University Institute of Engineering and technology Chitkara University Punjab India Department of Master of Business Administration Prince Shri Venkateshwara Padmavathy Engineering College Chennai Department of Artificial Intelligence & Data Science Vishwakarma Institute of Information Technology Pune India Department of Mechanical Engineering Faculty of Engineering and Technology JAIN (Deemed-to-be University) Bangalore Karnataka India Maharishi School of Engineering and Technology Maharishi University of Information Technology Uttar Pradesh India Department of Computer Science & Engineering Vivekananda Global University Jaipur India

Wi-wireless networks are becoming more pervasive and are frequently the primary goal of malicious attackers. Therefore, it is miles crucial that wireless networks are nicely secured to defend their users from malicious moves. DNS-based total authentication is a promising answer for attaining ease of authentication of wi-wireless customers in an open Wi-Fi community. This paper surveys numerous current works that discover the wi-fits wireless of DNS-based total authentication for Wi-Fi wireless community safety. especially this paper opinions three one-of-a-kindwireless strategies of using DNS for authentication purposes: making use of DNS's cache for identifying windows-primarily based Wi-Fi wireless clients; Open Mobile Alliance (OMA)'s tool control (DM) projects to relaxed get right of entry to; and a modern scheme for protecting the use of the DNS-based techniques. Wi-finally, this paper discusses a few safety-demanding situations and future studies directions.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Utilizing Dynamic Spectrum Allocation to Optimize Capacity in High-Speed Fiber Optic Communications

Utilizing Dynamic Spectrum Allocation to Optimize Capacity i...

引用

Smart Generation Computing, Communication and Networking (SMART GENCON), International Conference on

作者： Narmadha T Laxman Sahoo Dhananjay Yadav P. Sharmila Parikshit N. Mahalle Yuvraj Parmar Department of Computer Science Engineering Faculty of Engineering and Technology JAIN (Deemed-to-be University) Bangalore Karnataka India Department of Computer Science & Engineering Vivekananda Global University Jaipur India Maharishi School of Engineering and Technology Maharishi University of Information Technology Uttar Pradesh India Department of Science and Humanities Prince Shri Venkateshwara Padmavathy Engineering College Chennai Department of Artificial Intelligence & Data Science Vishwakarma Institute of Information Technology Pune INDIA Centre of Interdisciplinary Research in Business and Technology Chitkara University Institute of Engineering and technology Chitkara University Punjab India

Dynamic spectrum allocation can extensively improve the ability of high-speed fiber optic communications, permitting Fiber-to-the-home (FTTH) and different deployments to be optimized for max performance. This approach makes use of a decentralized approach to allocate spectrum resources on demand, taking into account scalability and efficient aid usage. With the aid of the use of a restrained set of hardware and software, dynamic spectrum allocation can quick and correctly update the communications community to meet changing demands. This generation takes gain of the increasingly more sophisticated optical additives available these days to alter the spectrum in real time rather than relying on static allocation algorithms. This capability reduces the want to frequently reassign spectrum allocations, in addition to the amount of time and sources it requires, permitting the communications network to be managed and controlled extra efficiently and efficiently. Moreover, dynamic spectrum allocation improves the overall performance of current fiber communications structure with the aid of better using current optical components, which may be applied retroactively.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Adaptive Modeling for Real-Time data Analysis with Machine Learning

Adaptive Modeling for Real-Time Data Analysis with Machine L...

引用

Smart Generation Computing, Communication and Networking (SMART GENCON), International Conference on

关键词：

来源：评论

学校读者我要写书评

暂无评论

A Secure Identity Authentication Protocol for Edge data in Smart Grid Environment 8

A Secure Identity Authentication Protocol for Edge Data in S...

引用

8th IEEE International Conference on Cyber Security and Cloud Computing and 2021 7th IEEE International Conference on Edge Computing and Scalable Cloud, CSCloud-EdgeCom 2021

作者： Xiao, Lijun Cai, Jiahong Qiu, Meikang Liu, Meiqin Guangzhou College of Technology and Business Big Data Development and Research Center Guangzhou China Hunan University of Science and Technology School of Computer Science and Engineering Xiangtan China Texas AM University-Commerce Department of Computer Science CommerceTX75428 United States Zhejiang University College of Electrical Engineering Hangzhou310027 China

ISBN: (纸本)9781665443777

Edge computing uses devices deployed at the edge of the network to preprocess data to reduce the computing pressure on the central server. Through edge computing, smart grid can process large amounts of data faster, meeting real-time, reliability, and high-efficiency requirements. However, as the number of edge devices continues to increase, the problem of leakage and tampering of private data is gradually exposed. In order to solve this problem, this paper proposes a lightweight identity authentication scheme suitable for smart grid environment based on Elliptic Curve Encryption (ECC) technology. In the proposed protocol, we encrypt the identity and key information through ECC, and use the timestamp to verify the validity of the session. In addition, the proposed protocol is encrypted with a random number for each round of authentication, and an attacker cannot crack our protocol through a replay attack. Experimental analysis shows that the proposed protocol is safety and key information will not be leaked. Finally, the cost analysis shows that the proposed protocol has lower communication and lower calculation cost than other that of related protocols, and is suitable for deployment in large-scale intelligent smart grid environments. © 2021 IEEE.

关键词： Cryptography

来源：评论

学校读者我要写书评

暂无评论

Investigating and Implementing the Efficiency of Image Restoration Techniques in Digital Image Processing

Investigating and Implementing the Efficiency of Image Resto...

引用

Smart Generation Computing, Communication and Networking (SMART GENCON), International Conference on

作者： Kalyan Acharjya S. Yuvaraj Varsha D. Jadhav Amritpal Sidhu Deepak Kumar Sinha Ojasvee Kaneria Maharishi School of Engineering and Technology Maharishi University of Information Technology Uttar Pradesh India Department of Electronics and Communication Engineering Prince Shri Venkateshwara Padmavathy Engineering College Chennai Department of Artificial Intelligence & Data Science Vishwakarma Institute of Information Technology Pune INDIA Centre of Interdisciplinary Research in Business and Technology Chitkara University Institute of Engineering and technology Chitkara University Punjab India Computer Science and Engineering Faculty of Engineering and Technology Bangalore Karnataka India Department of Computer Science & Engineering Vivekananda Global University Jaipur India

This look at explores the efficiency of diverse photo recovery strategies, inclusive of noise reduction, histogram change, facet enhancement, polishing, and smoothing, in digital picture processing. An extensive evaluation of the techniques becomes conducted to assess their effectiveness in restoring degraded virtual pictures. Numerous objective metrics, together with Structural Similarity (SSIM) Index, peak sign-to-Noise Ratio (PSNR), and mean Squared blunders (MSE), have been used to quantitatively examine the first-rate of the restored photographs. Effects indicated that noise discount and area enhancement furnished the finest improvements within the snap shots. Histogram changes and sprucing also stepped forward the high-quality of the pictures, at the same time as the smoothing technique ended in a moderate lower in pleasant. This examines offers a detailed insight into the efficiency of various photo healing techniques and can serve as a reference for in addition investigations.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Assessing the Feasibility of Incorporating AI for Efficient data Access Strategies

Assessing the Feasibility of Incorporating AI for Efficient ...

引用

Paradigm Shift in Information Technologies with Innovative Applications in Global Scenario (ICPSITIAGS), IEEE International Conference on

作者： Dhyan Yadav Geetha G Elackiya R Santosh D. Kumar Ritu Sharma Romil Jain Maharishi School of Engineering and Technology Maharishi University of Information Technology Uttar Pradesh India School of Computer Science and Engineering Jain (Deemed to be University) Bangalore Karnataka India Department of Computer Science and Engineering Prince Shri Venkateshwara Padmavathy Engineering College Chennai Department of Artificial Intelligence & Data Science Vishwakarma Institute of Information Technology Pune INDIA Department of Computer Science & Engineering Vivekananda Global University Jaipur India Centre of Interdisciplinary Research in Business and Technology Institute of Engineering and technology Chitkara University Punjab India

ISBN: (数字)9798350329773

ISBN: (纸本)9798350329780

The use of AI in statistics gets entry to techniques has recently emerged as a critical topic in the discipline of the information era. AI and gadgets gaining knowledge of strategies can enhance the performance and accuracy of facts to get entry to strategies. Also, they can offer extra blessings, including advanced scalability, privacy, and protection. This paper examines the feasibility of incorporating AI for efficient information entry techniques. An in-depth review of present studies inside the place of AI for statistics gets entry is supplied, highlighting the challenges and possibilities related to its use. The paper also examines the practical factors of incorporating AI for information get entry to techniques and assesses the price, scalability, and complexity of such procedures. We concluded that incorporating AI for records access techniques is viable and might benefit information customers significantly. However, similar studies are wanted to decide the most incredible layout and implementation of such techniques.

关键词： Privacy Reviews Scalability Layout Process control Companies Complexity theory

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：