检索结果-南通市图书馆

Dynamic properties of fuzzy Petri net model and related analysis

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Journal of Central South University 2015年第12期22卷 4717-4723页

作者：周恺卿 Azlan Mohd Zain 莫礼平 Soft computing Research Group Faculty of ComputingUniversiti Teknologi Malaysia UTM Skudai college of Information Science and Engineering Jishou University

Fuzzy Petri net(FPN) has been extensively applied in industrial fields for knowledge-based systems or systems with *** the applications of FPN are known to be successful,the theoretical research of FPN is still at an initial *** pave a way for further study,this work explores related dynamic properties of FPN including reachability,boundedness,safeness,liveness and *** whole methodology is divided into two *** the first phase,a comparison between elementary net system(EN_system) and FPN is established to prove that the FPN is an extensive formalism of Petri nets using a backwards-compatible extension ***,current research results of dynamic properties are utilized to analyze FPN *** results illustrate that FPN model is bounded,safe,weak live and fair,and can support theoretical evidences for designing related decomposition algorithm.

关键词： fuzzy Petri net elementary net system backwards-compatible extension method dynamic properties

An adaptive improvement on PageRank algorithm

在线全文

学校读者我要写书评

暂无评论

Applied Mathematics(A Journal of Chinese Universities) 2013年第1期28卷 17-26页

作者： LIU Gui-mei School of Computer & computing Science Zhejiang University City College

In this article, we introduce the Google＇s method for quality ranking of web page in a formal mathematical format, use the power iteration to improve the PageRank, and also discuss the effect of different q to the Pa... 详细信息

关键词： PageRank power method adjacency matrix Google matrix.

Modeling Consensus Semantics in Social Tagging Systems

在线全文

学校读者我要写书评

暂无评论

Journal of Computer Science & Technology 2011年第5期26卷 806-815页

作者：张斌张引高克宁 college of Information Science and Technology Northeastern University computing Center Northeastern University

In social tagging systems,people can annotate arbitrary tags to online data to categorize and index ***,the lack of the ＂a priori＂ set of words makes it difficult for people to reach consensus about the semantics of tags and how to categorize *** based approaches can help reaching such consensus,but they are still facing problems such as inability of model ambiguous and new concepts *** tags that are used very few times,since they can only be used in very specific contexts,their semantics are very clear and *** people have no consensus on these tags,it is still possible to leverage these detailed semantics to model the other *** this paper we introduce a random walk and spreading activation like model to represent the semantics of tags using semantics of unpopular *** comparing the proposed model to the classic Latent Semantic Analysis approach in a concept clustering task,we show that the proposed model can properly capture the semantics of tags.

关键词： algorithms knowledge acquisition Markov processes

A construction of quasi-hereditary endomorphism algebras

在线全文

学校读者我要写书评

暂无评论

Applied Mathematics(A Journal of Chinese Universities) 2014年第1期29卷 119-126页

作者： WEN Dao-wei School of Computer & computing Science Zhejiang University City College

In this article, we consider endomorphism algebras of direct sums of some local left ideals over a local algebra and give a construction of quasi-hereditary algebras.

关键词： quasi-hereditary algebra local algebra endomorphism algebra

Secure Multifactor Remote Access User Authentication Framework for IoT Networks

在线全文

学校读者我要写书评

暂无评论

Computers, Materials & Continua 2021年第9期68卷 3235-3254页

作者： Mohammed Mujib Alshahrani college of computing and Information Technology The University of BishaSaudi Arabia

The term IoT refers to the interconnection and exchange of data among devices/*** devices are often small,low cost,and have limited *** IoT issues and challenges are growing *** and privacy issues are among the most important concerns in IoT applications,such as smart *** cybersecurity attacks are the attacks which do not require physical access to the IoT networks,where the attacker can remotely access and communicate with the IoT devices through a wireless communication ***,remote cybersecurity attacks are a significant *** applications in smart environments such as smart buildings require remote access for both users and *** the user/building communication channel is insecure,a lightweight and secure authentication protocol is *** this paper,we propose a new secure remote user mutual authentication protocol based on transitory identities and multi-factor authentication for IoT smart building *** protocol ensures that only legitimate users can authenticate with smart building controllers in an anonymous,unlinkable,and untraceable *** protocol also avoids clock synchronization problem and can resist quantum computing *** security of the protocol is evaluated using two different methods:(1)informal analysis;(2)model check using the automated validation of internet security protocols and applications(AVISPA)*** communication overhead and computational cost of the proposed are *** security and performance analysis show that our protocol is secure and efficient.

关键词： Internet of things threats smart building attacks remote access authentication smart buildings

Image smog restoration using oblique gradient profile prior and energy minimization

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Frontiers of Computer Science 2021年第6期15卷 147-153页

作者： Ashok KUMAR Arpit JAIN college of computing Science and Information Technogy TeerthankerMahaveer UniversityMoradabad 244001India

Removing the smog from digital images is a challenging pre-processing tool in various imaging ***,many smog removal(i.e.,desmogging)models are proposed so far to remove the effect of smog from *** desmogging models are based upon a physical model,it means it requires efficient estimation of transmission map and atmospheric veil from a single smoggy ***,many prior based restoration models are proposed in the literature to estimate the transmission map and an atmospheric ***,these models utilized computationally extensive minimization of an energy ***,the existing restoration models suffer from various issues such as distortion of texture,edges,and ***,in this paper,a convolutional neural network(CNN)is used to estimate the physical attributes of smoggy *** gradient channel prior(OGCP)is utilized to restore the smoggy ***,a dataset of smoggy and sunny images are ***,we have trained CNN to estimate the smog gradient from smoggy ***,based upon the computed smog gradient,OGCP is utilized to restore the still smoggy *** analyses reveal that the proposed CNN-OGCP based desmogging model outperforms the existing desmogging models in terms of various performance metrics.

关键词： convolutional neural networks desmogging smog oblique gradient channel prior

Relative influence maximization in competitive social networks

在线全文

学校读者我要写书评

暂无评论

Science China(Information Sciences) 2017年第10期60卷 252-254页

作者： Dingda YANG Xiangwen LIAO Huawei SHEN Xueqi CHENG Guolong CHEN college of Physics and Information Engineering Fuzhou University Fujian Provincial Key Laboratory of Network computing and Intelligent Information Processing college of Mathematics and Computer Science Fuzhou University Institute of computing Technology Chinese Academy of Sciences

In many realistic scenarios,such as political election and viral marketing,two opposite opinions,i.e.,positive opinion and negative opinion,spread simultaneously in the same social networks[1,2].Consequently,to achiev... 详细信息

关键词： net RIM Relative influence maximization in competitive social networks Figure

Big Metadata,Smart Metadata,and Metadata Capital:Toward Greater Synergy Between Data Science and Metadata

在线全文

同方期刊数据库

学校读者我要写书评

暂无评论

Journal of Data and Information Science 2017年第3期2卷 19-36页

作者： Jane Greenberg college of computing and Informatics Drexel University

Purpose： The purpose of the paper is to provide a framework for addressing the disconnect between metadata and data science. Data science cannot progress without metadata *** paper takes steps toward advancing the synergy between metadata and data science, and identifies pathways for developing a more cohesive metadata research agenda in data science. Design/methodology/approach： This paper identifies factors that challenge metadata research in the digital ecosystem, defines metadata and data science, and presents the concepts big metadata, smart metadata, and metadata capital as part of a metadata lingua franca connecting to data science. Findings： The ＂utilitarian nature＂ and ＂historical and traditional views＂ of metadata are identified as two intersecting factors that have inhibited metadata research. Big metadata, smart metadata, and metadata capital are presented as part ofa metadata linguafranca to help frame research in the data science research space. Research limitations： There are additional, intersecting factors to consider that likely inhibit metadata research, and other significant metadata concepts to explore. Practical implications： The immediate contribution of this work is that it may elicit response, critique, revision, or, more significantly, motivate research. The work presented can encourage more researchers to consider the significance of metadata as a research worthy topic within data science and the larger digital ecosystem. Originality/value： Although metadata research has not kept pace with other data science topics, there is little attention directed to this problem. This is surprising, given that metadata is essential for data science endeavors. This examination synthesizes original and prior scholarship to provide new grounding for metadata research in data science.

关键词： Metadata research Data science Big metadata Smart metadata Metadata capital

Designing architected materials for mechanical compression via simulation, deep learning, and experimentation

在线全文

学校读者我要写书评

暂无评论

npj Computational Materials 2023年第1期9卷 1534-1542页

作者： Andrew J.Lew Kai Jin Markus J.Buehler Laboratory for Atomistic and Molecular Mechanics(LAMM) Massachusetts Institute of Technology77 Massachusetts Ave.CambridgeMA 02139USA Department of Chemistry Massachusetts Institute of Technology77 Massachusetts Ave.CambridgeMA 02139USA Center for Computational Science and Engineering Schwarzman College of ComputingMassachusetts Institute of Technology77 Massachusetts Ave.CambridgeMA 02139USA

Architected materials can achieve enhanced properties compared to their plain *** architecting serves as a powerful design lever to achieve targeted behavior without changing the base ***,the connection between architected structure and resultant properties remains an open field of great interest to many fields,from aerospace to civil to automotive ***,we focus on properties related to mechanical compression,and design hierarchical honeycomb structures to meet specific values of stiffness and compressive *** do so,we employ a combination of techniques in a singular workflow,starting with molecular dynamics simulation of the forward design problem,augmenting with data-driven artificial intelligence models to address the inverse design problem,and verifying the behavior of de novo structures with experimentation of additively manufactured *** thereby demonstrate an approach for architected design that is generalizable to multiple material properties and agnostic to the identity of the base material.

关键词： thereby additive starting