检索结果-内蒙古大学图书馆

Conference on information and Knowledge technology

作者： Sara Fathipour Deiman Ali Mohammad Saghiri Mohammad Reza Meybodi Faculty of Computer and Information Technology Engineering Islamic Azad University Tehran Iran Computer Engineering and Information Technology Department Amirkabir University of Technology (Tehran Polytechnic) Tehran Iran

Super-peer network is a type of peer-to-peer networks. In a super-peer network, a super-peer is a peer that has more ability than other peers have and is responsible for some of the tasks of network management. Since different peers vary in terms of capability, selecting a super-peer is a challenge problem. Gradient topology is a type of super-peer networks. Because of dynamicity of peers, adaptive methods are important for managing gradient topology. A problem of the existing management algorithms of gradient topology is that they are not sensitive to joining and leaving the peers. This problem becomes more challenging when a malicious peer frequently joins and leaves the network. The proposed algorithm being sensitive to removal of super peers, using learning automata, selects the new super-peers in an adaptive manner. According to the simulation results, the proposed algorithm can compete with the existing algorithms.

关键词： Learning automata Topology Network topology Peer-to-peer computing Adaptive systems Mathematical model Optimization

来源：评论

学校读者我要写书评

暂无评论

Centrality Based Geocasting for Opportunistic Networks 33rd

Centrality Based Geocasting for Opportunistic Networks

引用

33rd International Conference on Advanced information Networking and Applications, AINA-2019

作者： Singh, Jagdeep Dhurandher, Sanjay K. Woungang, Isaac Takizawa, Makoto CAITFS Division of Information Technology Netaji Subhas Institute of Technology University of Delhi New Delhi India CAITFS Department of Information Technology Netaji Subhas University of Technology New Delhi India Department of Computer Science Ryerson University TorontoON Canada Department of Advanced Sciences Faculty of Science and Engineering Hosei University Tokyo Japan

ISBN: (纸本)9783030150310

Opportunistic networks (OppNets) are a subclass of delay tolerant networks characterized by unstable topology, intermittent connectivity, and no guarantee of the existence of an end-to-end path to carry the messages from source to destination because of node’s mobility. For these reasons, the routing of data in such networks occurs in a store-carry-and-forward approach. Following this approach combined with geocasting as message transmission strategy, this paper proposes a geo-casting protocol for OppNets named Centrality based Geocasting for OPPortunistic networks (CGOPP for short). The proposed scheme combines uni-casting and flooding by first transferring a message to an individual geographic location, then intelligently flood the message to all nodes inside the area by using a degree centrality function. Simulation results are provided, demonstrating the efficiency of the proposed protocol against traditional geo-casting protocols for OppNets, in terms of average latency, delivery ratio, and number of messages forwarded, under varying number of nodes, buffer sizes, and TTL. © 2020, Springer Nature Switzerland AG.

关键词： Floods

来源：评论

学校读者我要写书评

暂无评论

The Empirical Evaluation of Artificial Intelligence-based Techniques for Improving Cyber Security 2

The Empirical Evaluation of Artificial Intelligence-based Te...

引用

2nd International Conference on Electronics and Renewable Systems, ICEARS 2023

作者： Nayak, Chhaya Rao, Chintala Lakshmana Alam, Tanweer Singh, Shalini Islam, Shaziya Maginmani, Umme Habiba Pimpri Chinchwad College of Engineering Pune India School of Law Visakhapatnam India Islamic University of Madinah Faculty of Computer and Information Systems Department of Computer Science Madinah Saudi Arabia Graphic Era Deemed to Be University Department of Ece Uttarakhand Dehradun248002 India Rungta College of Engineering and Technology Bhilai India Secab Institute of Engineering and Technology Department of Computer Science and Engineering Karnataka Vijayapur India

ISBN: (纸本)9798350346640

Artificial intelligence (AI) technologies have been recently developed, and their advantages can be observed in a wide range of domains, from image processing to face detection. AI-based approaches can assist opponents to enhance their attack strategies while also improving cyber protection technologies. The efficiency of AI techniques against cyber security issues are evaluated. Here, the primary data and a quantitative study design approach is used. The information is then obtained from software industry professionals. The sample size for this study is 549 people, and it included confirmatory factor analysis, discriminant validity testing, model fundamental analysis, and hypothesis evaluation. All variables' P-values were found to be statistical, with the exception of intelligent agents, which had no meaningful relationship to AI or cyber security. The main issues were availability, geographical locations, study population, and other related variables. © 2023 IEEE.

关键词： Factor analysis

来源：评论

学校读者我要写书评

暂无评论

Depth-Awareness in a System for Mixed-Reality Aided Surgical Procedures 15th

Depth-Awareness in a System for Mixed-Reality Aided Surgical...

引用

15th International Conference on Intelligent Computing, ICIC 2019

作者： Sylos Labini, Mauro Gsaxner, Christina Pepe, Antonio Wallner, Juergen Egger, Jan Bevilacqua, Vitoantonio Institute for Computer Graphics and Vision Faculty of Computer Science and Biomedical Engineering Graz University of Technology Graz Austria Computer Algorithms for Medicine Laboratory Graz Austria Department of Electrical and Information Engineering Polytechnic University of Bari Bari Italy Department of Oral and Maxillofacial Surgery Medical University of Graz Graz Austria

ISBN: (纸本)9783030267650

computer-assisted surgery is a trending topic in research, with many different approaches which aim at supporting surgeons in the operating room. Existing surgical planning and navigation solutions are often considered to be distracting, unintuitive or hard to interpret. In this work, we address this issue with an approach based on mixed reality devices like Microsoft HoloLens. We assess the depth sensing capabilities of Microsoft HoloLens, and the potential benefit they could bring to computer-assisted surgery applications. © 2019, Springer Nature Switzerland AG.

关键词： Mixed reality

来源：评论

学校读者我要写书评

暂无评论

Applying rough sets to information tables containing possibilistic values

Applying rough sets to information tables containing possibi...

引用

作者： Nakata, Michinori Sakai, Hiroshi Faculty of Management and Information Science Josai International University 1 Gumyo Togane Chiba 283-8555 Japan Department of Mathematics and Computer Aided Sciences Faculty of Engineering Kyushu Institute of Technology Tobata Kitakyushu 804-8550 Japan

ISBN: (纸本)354087562X

Rough sets are applied to information tables containing imprecise values that are expressed in a normal possibility distribution. A method of weighted equivalence classes is proposed, where each equivalence class is accompanied by a possibilistic degree to which it is an actual one. By using a family of weighted equivalence classes, we derive lower and upper approximations. The lower and upper approximations coincide with ones obtained from methods of possible worlds. Therefore, the method of weighted equivalence classes is justified. When this method is applied to missing values interpreted possibilistically, it creates the same relation for indiscernibility as the method of Kryszkiewicz that gave an assumption for indiscernibility of missing values. Using weighted equivalence classes correctly derives a lower approximation from the viewpoint of possible worlds, although using a class of objects that is not an equivalence class does not always derive a lower approximation. © 2008 Springer-Verlag Berlin Heidelberg.

关键词： Equivalence classes

来源：评论

学校读者我要写书评

暂无评论

Real-time collision detection with two-level spatial hashing on GPU 22

Real-time collision detection with two-level spatial hashing...

引用

22nd Pacific Conference on computer Graphics and Applications, PG 2014

作者： Hong, Yang Wu, Wen Chen, Hui Department of Computer and Information Science Faculty of Science and Technology University of Macau China Department of Computer Science and Engineering The Chinese University of Hong Kong Hong Kong Beijing Key Lab of Human-Computer Interaction Institute of Software Chinese Academy of Science Beijing China

ISBN: (纸本)9783905674736

In this paper, a two-level parallel spatial hashing method is presented for real-time collision detection of deformable objects based on modern GPU architecture. The second-level of spatial hashing is used to improve the culling efficiency. Moreover, a novel encoding method on GPU is proposed to compensate the inflexibility of the GPU memory system. It can efficiently determine the colliding pairs of primitives between deformable objects. The experimental results show that our method can perform high culling efficiency with low memory cost. © The Eurographics Association 2014.

关键词： Graphics processing unit

来源：评论

学校读者我要写书评

暂无评论

A review on WEP wireless security protocol

引用

Journal of Theoretical and Applied information technology 2012年第1期40卷 39-43页

作者： Juwaini, Muhammad Alsaqour, Raed Abdelhaq, Maha Alsukour, Ola School of Computer Science Faculty of Information Science and Technology University Kebangsaan Malaysia 43600 Bangi Selangor Malaysia Department of Computer Engineering Faculty of Engineering and Technology The University of Jordan 11942 Amman Jordan

WEP (Wired Equivalent Protocol) is a wireless security protocol ratified by IEEE (The Institute of Electrical and Electronics Engineers) in 1999. Since then, WEP is widely used in telecommunication field. In daily usage, it had been phased-out by IEEE since 2005 to be replaced by WPA/WPA2 (Wi-Fi Protected Access). WEP encryption algorithm can be easily cracked because of its widely documented weaknesses. Nevertheless, WEP is still has been used extensively as a research topic in the academic field. Certain enterprises still using WEP due to lack of security consciousness, economical constraint or because it is difficult to replace the legacy communication devices in which WEP is already bulged. In this paper, we give a review on WEP wireless security protocol in terms of its history, weaknesses, improvements, and current alternative approaches to overcome its weaknesses regarding the protocol in ICT (information and Communication technology) field. This research aims to address WEP protocol in its current versions and to give a spirit future direction research to enhance its security mechanism. © 2005 - 2012 JATIT & LLS. All rights reserved.

关键词： Cryptography

来源：评论

学校读者我要写书评

暂无评论

Image cyberbullying detection and recognition using transfer deep machine learning

引用

International Journal of Cognitive Computing in engineering 2024年第1期5卷 14-26页

作者： Almomani, Ammar Nahar, Khalid Alauthman, Mohammad Al-Betar, Mohammed Azmi Yaseen, Qussai Gupta, Brij B. School of Computing Skyline University College University City of Sharjah P.O. Box 1797 Sharjah United Arab Emirates I.T. department Al-Huson University College AlBalqa Applied University Irbid Jordan Computer Science Department Faculty of I.T. Yarmouk University Irbid Jordan Department of Information Security Faculty of Information Technology University of Petra Amman Jordan Ajman University Ajman United Arab Emirates Department of Computer Science and Information Engineering Asia University Taichung413 Taiwan Symbiosis International University Pune India Department of Electrical and Computer Engineering Lebanese American University Beirut1102 Lebanon Dehradun India

Cyberbullying detection on social media platforms is increasingly important, necessitating robust computational methods. Current approaches, while promising, have not fully leveraged the combined strengths of deep learning and traditional machine learning for enhanced performance. Moreover, online content complexity requires models that can capture nuanced contexts beyond text, which many current methods lack. This research proposes a novel hybrid approach using deep learning models as feature extractors and machine learning classifiers to improve cyberbullying detection. Extracting features using pre-trained deep learning models like InceptionV3, ResNet50, and VGG16, then feeding them into classifiers like Logistic Regression and Support Vector Machines, enhances understanding of the complex contexts where cyberbullying occurs. Experiments on an image dataset showed that combining deep learning and machine learning achieved higher accuracy than using either approach alone. This novel framework bridges the gap in existing literature and contributes to broader efforts to combat cyberbullying through more nuanced, context-aware detection methods. The hybrid technique demonstrates the potential of blending deep learning's representation learning strengths with machine learning's sample efficiency and interpretability. © 2023

关键词： Learning systems

来源：评论

学校读者我要写书评

暂无评论

Applied Computation and Security Systems 1

引用

丛书名： Advances in Intelligent Systems and Computing

1000年

作者： Rituparna Chaki Khalid Saeed Sankhayan Choudhury Nabendu Chaki

来源：评论

学校读者我要写书评

暂无评论

Using Artificial Neural Networks to Determine Ontologies Most Relevant to Scientific Texts 22

Using Artificial Neural Networks to Determine Ontologies Mos...

引用

22nd Conference information Technologies - Applications and Theory, ITAT 2022

作者： Korel, Lukáš Behr, Alexander S. Kockmann, Norbert Holeňa, Martin Faculty of Information Technology CTU Prague Czech Republic Faculty of Biochemical and Chemical Engineering TU Dortmund University Germany Institute of Computer Science Czech Academy of Sciences Prague Czech Republic Leibniz Institute for Catalysis Rostock Germany

This paper provides an insight into the possibility of how to find ontologies most relevant to scientific texts using artificial neural networks. The basic idea of the presented approach is to select a representative paragraph from a source text file, embed it to a vector space by a pre-trained fine-tuned transformer, and classify the embedded vector according to its relevance to a target ontology. We have considered different classifiers to categorize the output from the transformer, in particular random forest, support vector machine, multilayer perceptron, k-nearest neighbors, and Gaussian process classifiers. Their suitability has been evaluated in a use case with ontologies and scientific texts concerning catalysis research. From results we can say the worst results have random forest. The best results in this task brought support vector machine classifier. © 2022 Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).

关键词： Decision trees

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：