检索结果-内蒙古大学图书馆

2nd International Conference on Advance Computing and Innovative Technologies in Engineering, ICACITE 2022

作者： Verma, Kirti Sundararajan, M. Mangal, Adarsh Ray, Samrat Kumar, Ashok Lakshmi Narain College of Technology Department of Engineering Mathematics Bhopal India Mizoram University Department of Mathematics & Computer Science Mizoram 796004 India Engineering College Department of Mathematics Ajmer305025 India Economics Sunstone ClEM Kolkata India K.S.College Bihar Laheriasarai Darbhanga India

ISBN: (纸本)9781665437899

The Corona virus also called SARS- CoV-2which spreads a disease called COVID-19. It has been documented that this disease has been spreading at an exponential rate and conquered 6 out of 7 continents sparing Antarctica. Since its outbreak it has been a close end to most industries and did not spare the consumer able industry. The pandemic creates a new door in digital transformation. Indian economy is adversely affected due the consequences of COVID-19. The traditional model of doing business has to be change as per the demand of current situations. The transformation in the context of digital is observed in all the sectors i.e., in culture, organization as well as in the work execution of an organization, in the industries as well as in the ecosystem via a smart assimilation of digital technologies, procedure and proficiency in every level and functions. The technologies are leveraged with digital transformation (also DX or DT) for creating worth for different stakeholders (customers in the broadest possible sense), create as well as obtain the potential for swiftly adjusting with the circumstances that are ever changing. Transformation done on digitalized mode is a strategy where any product or services are sold and promoted to the buyers digitally, it has removed the role of any mediator. COVID-19 is affects the whole world and it create a social distancing among the consumers, which in turns affecting a lot of businesses. A broad categories of industries and business will affect because of social distancing. In this study a perceived way out is suggested as a concept of Digital Transformation. The buying culture and the parameters might change due to social distancing. This research is conducted to see how the consumer's buying behaviour will change after the crisis of COVID-19. The consumer is transforming the traditional methods of buying goods and services by using online tools and techniques. According to the studies, the model of digital marketing has enter

关键词： COVID-19

来源：评论

学校读者我要写书评

暂无评论

Critical (P5, W4)-Free Graphs

arXiv

引用

arXiv 2025年

作者： Xia, Wen Jooken, Jorik Goedgebeur, Jan Beaton, Iain Cameron, Ben Huang, Shenwei College of Computer Science Nankai University Tianjin300071 China Tianjin Key Laboratory of Network and Data Security Technology Nankai University Tianjin300071 China Department of Computer Science KU Leuven Campus Kulak-Kortrijk Kortrijk8500 Belgium Department of Applied Mathematics Computer Science and Statistics Ghent University Ghent9000 Belgium Department of Mathematics and Statistics Acadia University WolfvilleNS Canada School of Mathematical and Computational Sciences University of Prince Edward Island CharlottetownPE Canada

A graph G is k-vertex-critical if χ(G) = k but χ(G − v) 1, H2)-free if it contains no induced subgraph isomorphic to H1 nor H2. A W4 is the graph consisting of a C4 plus an additional vertex adjacent to all the vertices of the C4. We show that there are finitely many k-vertex-critical (P5, W4)-free graphs for all k ≥ 1 and we characterize all 5-vertex-critical (P5, W4)-free graphs. Our results imply the existence of a polynomial-time certifying algorithm to decide the k-colorability of (P5, W4)-free graphs for each k ≥ 1 where the certificate is either a k-coloring or a (k + 1)-vertex-critical induced subgraph. Copyright © 2025, The Authors. All rights reserved.

关键词： Graph algorithms

来源：评论

学校读者我要写书评

暂无评论

Optimizing Future Predictions in Children's Health: Implementing OGPA-enhanced Deep Learning for Precise Child Height Forecasting in the Social Media Age

Optimizing Future Predictions in Children's Health: Implemen...

引用

International Conference on computer Supported Cooperative Work in Design

作者： Yantao Shao Tianxiang He Yan Mao Kai Fang Wei Wang Keji Mao School of Computer Science and Technology Zhejiang University of Technology Hangzhou China School of Mathematics and Computer Science Zhejiang A&F University Hangzhou China Guangdong-HK-Macao Jt. Lab for Emotion Intell. & Pervasive Comp AI Res. Inst. Shenzhen MSU-BIT Univ Shenzhen China

ISBN: (数字)9798350349184

ISBN: (纸本)9798350349191

In recent years, the issue of children's height has garnered widespread attention on social media. Social media platforms serve as pivotal communication channels for parents, doctors, educators, and researchers, with children's height, a crucial health indicator, becoming one of the hot topics. Inaccurate prediction methods might mislead the public, resulting in parents harboring erroneous expectations regarding their children's future height. Such misplaced expectations may culminate in unwarranted worries or pressure. In pursuit of devising an accurate height prediction model, this paper thoroughly leverages a substantial data sample obtained from the physical health examinations of primary and secondary school students in Zhejiang Province, as well as continuous observation samples provided by the Zhejiang Provincial Bone Age Research Center, to delve deeply into the issue of height prediction in children and adolescents. In this research, we have developed a lightweight neural net-work model suitable for particle swarm optimization to predict children’s stage-wise height. When the difference between the actual and predicted values is within ±2cm, the prediction accuracy for boys reached 86.67%, and for girls, it was 85.32%, with an RMSE of 1.3503.

关键词： Deep learning Pediatrics Accuracy Social networking (online) Federated learning Medical services Predictive models

来源：评论

学校读者我要写书评

暂无评论

Artistic Style Transfer Using Generative Adversarial Networks: A Pix2Pix Implementation

Artistic Style Transfer Using Generative Adversarial Network...

引用

Communication, computer sciences and Engineering (IC3SE), International Conference on

作者： Dubasi Pavan Kumar Shuchi Bhadula Mohammed Al-Farouni Neeraj Varshney Vishal Sharma Manish Saraswat Department of Mathematics Integrated Master of Science Mathematics National Institute of Technology Patna Department of Computer Science & Engineering Graphic Era Deemed to be University Dehradun Department of computers Techniques engineering College of technical engineering The Islamic university Najaf Iraq Department of Computer Engineering and Applications GLA University Mathura Lovely Professional University Phagwara India Lloyd Institute of Engineering & Technology Greater Noida

ISBN: (数字)9798350366846

ISBN: (纸本)9798350366853

This investigation explores the viability of four noticeable models, specifically Pix2Pix, Neural Style Transfer (NST), Fast Neural Style Transfer (FastNST), and CycleGAN, within the space of aesthetic style exchange. The think about envelops a fastidious assessment of these models, investigating their capabilities in generating outwardly engaging and elaborately reliable pictures. Through broad tests and quantitative evaluations, Pix2Pix developed as a strong choice, accomplishing a Crest Signal-to-Noise Ratio (PSNR) of 26.78 dB, a Basic Likeness List (SSIM) of 0.832, and a Fréchet Initiation Separate (FID) of 54.21. NST, exceeding expectations in style devotion, achieved a PSNR of 29.45 dB, an SSIM of 0.905, and an FID of 72.03. FastNST, known for its real-time preparation, illustrated an adjusted execution with a PSNR of 28.12 dB, an SSIM of 0.892, and an FID of 68.54. CycleGAN, outlined for unpaired picture interpretation, accomplished a PSNR of 27.65 dB, an SSIM of 0.874, and an FID of 63.72. The results give profitable experiences into the comparative qualities and weaknesses of these models, educating their appropriateness in different artistic assignments.

关键词： Deep learning Visualization Computational modeling Writing Solids Generative adversarial networks Real-time systems

来源：评论

学校读者我要写书评

暂无评论

Implementation of Non-Linear Feedback Stream Cipher System through Hybrid block Cipher Mode to Enhance the Resistivity and Computation Speed of AES 9

Implementation of Non-Linear Feedback Stream Cipher System t...

引用

9th IEEE Uttar Pradesh Section International Conference on Electrical, Electronics and computer Engineering, UPCON 2022

作者： Dodmane, Radhakrishna Raghunandan, K.R. Shetty, Surendra Krishnaraj Rao, N.S. Bhavya, K. Islam, Sardar M.N. NMAM Institute of Technology Computer Science and Engineering Karkala Nitte574110 India NMAM Institute of Technology Dept. of MCA Karkala Nitte574110 India NMAM Institute of Technology Information Science and Engineering Karkala Nitte574110 India NMAM Institute of Technology Department of Mathematics Karkala Nitte574110 India Victoria University ISILC 300 Queen Street MelbourneVIC8001 Australia

ISBN: (数字)9798350332506

ISBN: (纸本)9798350332506

In a modern computing world, transmission of the confidential information over public network is very challenge. Various solutions have been proposed to provide the confidentiality, authenticity against the unauthorized access the information's. One of the secure solutions considered in this work under symmetric block cipher technique is Advanced Encryption Standard (AES). To enhance the efficiency of the AES, two non-linear feedback shift operations are enabled. The first non-linearity is achieved through Cipher Feedback mode (CFB), whereas the second non-linearity is through Output Feedback mode (OFB). The non-linearity and value-based rotation in each round would help in increasing the resistivity against the attacks. Whereas the reduction of one round of AES while processing every block of data would help in reducing the overall time required to process the information's. The proposed implementation has tested to verify the possible improvement in the efficiency, the same is discussed in result and discussion. © 2022 IEEE.

关键词： Efficiency

来源：评论

学校读者我要写书评

暂无评论

Infinite families 2-designs from binary projective three-weight codes

arXiv

引用

arXiv 2023年

作者： Zhu, Canze Liao, Qunying Liu, Haibo School of Computer Science and Technology Dongguan University of Technology Dongguan523000 China College of Mathematical Science Sichuan Normal University Chengdu610066 China School of Applied Mathematics Chengdu University of Information Technology Sichuan Chengdu610225 China

Combinatorial designs are closely related to linear codes. In recent year, there are a lot of t-designs constructed from certain linear codes. In this paper, we aim to construct 2-designs from binary three-weight codes. For any binary three-weight code C with length n, let An(C) be the number of codewords in C with Hamming weight n, then we show that C holds 2-designs when C is projective and An(C) = 1. Furthermore, by extending some certain binary projective two-weight codes and basing on the defining set method, we construct two classes of binary projective three-weight codes which are suitable for holding 2-designs. © 2023, CC BY-SA.

关键词： C (programming language)

来源：评论

学校读者我要写书评

暂无评论

The importance of the clustering model to detect new types of intrusion in data traffic

arXiv

引用

arXiv 2024年

作者： Abd, Noor Saud Karoui, Kamel National School of Engineers of Tunis ENIT Tunisia The Department of Cyber Security Computer Science and Mathematics College Tikrit University Iraq National Institute of Applied Sciences and Technology Tunisia

In the current digital age, the volume of data generated by various cyber activities has become enormous and is constantly increasing. The data may contain valuable insights that can be harnessed to improve cyber security measures. However, much of this data is unclassified and qualitative, which poses significant challenges to traditional analysis methods. In order to overcome these challenges, clustering, a crucial method in machine learning (ML) and data analysis, has become increasingly effective. Clustering facilitates the identification of hidden patterns and structures in data through grouping similar data points, which makes it simpler to identify and address threats. Clustering can be defined as a data mining (DM) approach, which uses similarity calculations for dividing a data set into several categories. Each data cluster that the clustering algorithm has identified has a high degree of similarity, and there is a fair amount of similarity between other clusters of data. Hierarchical, density-based, along with partitioning clustering algorithms are typical. The presented work use K-means algorithm, which is a popular clustering technique. Utilizing K-means algorithm, we worked with two different types of data: first, we gathered data with the use of XG-boost algorithm following completing the aggregation with K-means algorithm. Data was gathered utilizing Kali Linux environment, cicflowmeter traffic, and Putty Software tools with the use of diverse and simple attacks. The concept could assist in identifying new attack types, which are distinct from the known attacks, and labeling them based on the characteristics they will exhibit, as the dynamic nature regarding cyber threats means that new attack types often emerge, for which labeled data might not yet exist. The model counted the attacks and assigned numbers to each one of them. Secondly, We tried the same work on the ready data inside the Kaggle repository called (Intrusion Detection in Internet of Thi

关键词： Network intrusion

来源：评论

学校读者我要写书评

暂无评论

A generalized framework for fsm implementation

Journal of Network Intelligence

引用

Journal of Network Intelligence 2021年第2期6卷 289-302页

作者： Hung, Mao-Hsiung Hsieh, Chaur-Heh Wang, Jinshui Fujian Provincial Key Laboratory of Big Data Mining and Applications Fujian University of Technology School of Computer Science and Mathematics Fujian University of Technology no. 33 Xuefunan Road University Town Minhou Fuzhou350118 China College of Artificial Intelligence Yango University Fuzhou350015 China Research School of Computer Science Australian National University ACT2601 Australia

Finite State Machine (FSM) is a useful and powerful tool to model a dynamic system. A traditional implementation of FSM using nested switch-case statement exists problems of poor reusability and maintainability for programming. This paper presents a generalized framework of algorithmic implementation to improve these disadvantages of nested switch-case statement. A lookup table and an event handle function are used to construct various FSMs in the proposed framework. In the experiments, we apply the proposed framework to implement unconditional/conditional FSMs and hierarchical/concurrent-hierarchical FSMs. The experimental results demonstrate the framework’s good generalization. © 2021 Global Research Online. All rights reserved.

关键词： Table lookup

来源：评论

学校读者我要写书评

暂无评论

Deduction, Constrained Zero Forcing, and Constrained Searching

arXiv

引用

arXiv 2024年

作者： Burgess, Andrea Dyer, Danny Ojakian, Kerry Wang, Lusheng Xiao, Mingyu Yang, Boting Department of Mathematics and Statistics University of New Brunswick Saint JohnNBE2L 4L5 Canada Department of Mathematics and Statistics Memorial University of Newfoundland St. John’sNLA1C 5S7 Canada Department of Mathematics and Computer Science Bronx Community College The City University of New York BronxNY United States Department of Computer Science City University of Hong Kong Hong Kong School of Computer Science and Engineering University of Electronic Science and Technology of China Chengdu China Department of Computer Science University of Regina ReginaSKS4S 0A2 Canada

Deduction is a recently introduced graph searching process in which searchers clear the vertex set of a graph with one move each, with each searcher’s movement determined by which of its neighbors are protected by other searchers. In this paper, we show that the minimum number of searchers required to clear the graph is the same in deduction as in constrained versions of other previously studied graph processes, namely zero forcing and fast-mixed search. We give a structural characterization, new bounds and a spectrum result on the number of searchers required. We consider the complexity of computing this parameter, giving an NP-completeness result for arbitrary graphs, and exhibiting families of graphs for which the parameter can be computed in polynomial time. We also describe properties of the deduction process related to the timing of searcher movement and the success of terminal *** Codes 05C57, 05C85 Copyright © 2024, The Authors. All rights reserved.

关键词： Graph theory

来源：评论

学校读者我要写书评

暂无评论

Insight into the Hamilton and Crosser model for ternary hybrid nanofluid flow over a Riga wedge with heterogeneous catalytic reaction

引用

The European Physical Journal Special Topics 2024年 1-22页

作者： Obalalu, A. M. Shah, S. H. A. M. Darvesh, Adil Khan, Umair Ishak, Anuar Adegbite, Peter Ojewola, O. B. Muhammad, Taseer Galal, Ahmed M. Department of Mathematics and Statistics Kwara State University Malete Nigeria Department of Mathematics and Social Sciences Sukkur IBA University Sukkur Pakistan Department of Mathematics and Statistics Hazara University Mansehra Pakistan Department of Mathematical Sciences Faculty of Science and Technology Universiti Kebangsaan Malaysia Bangi Malaysia Department of Mathematics Faculty of Science Sakarya University Serdivan/Sakarya Turkey Department of Computer Science and Mathematics Lebanese American University Byblos Lebanon Department of Pure and Applied Mathematics LAUTECH Ogbomosho Nigeria Department of Mathematics College of Science King Khalid University Abha Saudi Arabia Department of Mechanical Engineering College of Engineering in Wadi Alddawasir Prince Sattam bin Abdulaziz University Wadi Alddawasir Saudi Arabia Production Engineering and Mechanical Design Department Faculty of Engineering Mansoura University Mansoura Egypt

The present article is designed to study the Hamilton and Crosser model applied to the flow of ternary hybrid nanofluids over a Riga wedge, incorporating the effects of heterogeneous catalytic reactions. The complex interactions within the ternary hybrid nanofluids, comprising three distinct nanoparticles suspended in a base fluid, present significant challenges in accurately predicting flow and thermal characteristics. The Hamilton and Crosser model, known for its efficacy in determining the thermal conductivity of composite materials, is employed to analyze this intricate system. The analysis reveals the model's potential in offering a comprehensive understanding of the thermal and fluid dynamics involved, highlighting its suitability for predicting the behavior of ternary hybrid nanofluids in the presence of catalytic reactions. The governing model equations and boundary conditions are non-dimensionalized by introducing suitable similarity transformations. Thereafter, the computational Chebyshev collocation spectral technique implemented in the MATHEMATICA 11.3 software is used to calculate the numerical solution. The study reveals that the Casson parameter has a negative influence on the velocity distribution, causing it to reduce as the Casson parameter rises. This research contributes to the advancement of modeling techniques for complex fluid systems, with implications for enhanced design and optimization in various industrial and engineering applications.

关键词：

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：