检索结果-内蒙古大学图书馆

Effective Frameworks Based on Infinite Mixture Model for Real-World Applications

computers, Materials & Continua 2022年第7期72卷 1139-1156页

作者： Norah Saleh Alghamdi Sami Bourouis Nizar Bouguila Department of Computer Sciences College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh 11671Saudi Arabia College of Computers and Information Technology Taif UniversityTaif21944Saudi Arabia The Concordia Institute for Information Systems Engineering(CIISE) Concordia UniversityMontrealQC H3G 1T7Canada

Interest in automated data classification and identification systems has increased over the past years in conjunction with the high demand for artificial intelligence and security *** particular,recognizing human activities with accurate results have become a topic of high *** the current tools have reached remarkable successes,it is still a challenging problem due to various uncontrolled environments and *** this paper two statistical frameworks based on nonparametric hierarchical Bayesian models and Gamma distribution are proposed to solve some realworld *** particular,two nonparametric hierarchical Bayesian models based on Dirichlet process and Pitman-Yor process are *** models are then applied to address the problem of modelling grouped data where observations are organized into groups and these groups are statistically linked by sharing mixture *** choice of the Gamma mixtures is motivated by its flexibility for modelling heavy-tailed *** addition,deploying the Dirichlet process prior is justified by its advantage of automatically finding the right number of components and providing nice ***,a learning step via variational Bayesian setting is presented in a flexible *** priors over the parameters are selected appropriately and the posteriors are approximated effectively in a closed *** results based on a real-life applications that concerns texture classification and human actions recognition show the capabilities and effectiveness of the proposed framework.

关键词： Infinite Gamma mixture model variational Bayes hierarchical Dirichlet process Pitman-Yor process texture classification human action recognition

来源：评论

学校读者我要写书评

暂无评论

Insurance Plan for Service Assurance in Cloud Computing Market with Incomplete information

引用

Journal of Communications and information Networks 2022年第1期7卷 11-22页

作者： Yanru Zhang Chunxiao Jiang Nguyen H.Tran Shengrong Bu FeiRichard Yu Zhu Han College of Computer Science and Engineering the University of Electronic Science and Technology of ChinaChengdu 611731China Shenzhen Institute for Advanced Study UESTCLonghuaShenzhen 518110China Tsinghua Space Center Tsinghua UniversityBeijing 10084China School of Computer Science the University of SydneySydneyNew South WalesAustralia Department of Engineering Brock UniversityONCanada School of Information Technology Depart.of Systems and Computer EngineeringCarleton UniversityOttawa K1S 5B6ONCanada Department of Electrical and Computer Engineering the University of HoustonHouston 77004TXUSA

Nowadays,cloud computing has been identified as new opportunities for migrating to the expected agility,reuse,and adaptive capabilities that can support the ever changing IT trends and ***,the rapid evolution of those technologies also comes with open issues such as security,privacy,integrity,quality of services,and their possible detrimental *** this work,the concept of insurance is introduced to compensate the cloud computing customers when encountering those failures if service providers(SPs)have insurance ***,we consider the situation when the insurer is unable to see the system failure risk levels of the SPs,which is usually seen as an incomplete information market,in contrast with the optimal situation in a complete information ***,an insurance-based cloud computing architecture is proposed to build a monetary credit system in which the cloud computing SP pays a premium for a certain coverage to the ***,problem is formulated to solve the optimal insurance plan in complete and incomplete information markets,together with detail analysis of insurance policies in both cases are ***,simulation results show the properties of the two insurance plans and parameters that affect the design of the insurance plan.

关键词： service assurance cloud computing market incomplete information game theory insurance plan

来源：评论

学校读者我要写书评

暂无评论

Secure Transmission Design for Aerial IRS Assisted Wireless Networks

Secure Transmission Design for Aerial IRS Assisted Wireless ...

引用

作者： Wei, Wenjing Pang, Xiaowei Tang, Jie Zhao, Nan Wang, Xianbin Nallanathan, Arumugam Dalian University of Technology School of Information and Communication Engineering Dalian116024 China South China University of Technology School of Electronic and Information Engineering Guangzhou510640 China Western University Department of Electrical and Computer Engineering LondonONN6A 5B9 Canada Queen Mary University of London School of Electronic Engineering and Computer Science LondonE1 4NS United Kingdom

Combining intelligent reflecting surface (IRS) and unmanned aerial vehicle (UAV) offers a new degree of freedom to improve the coverage performance. However, it is more challenging to secure the air-ground transmission, due to the line-of-sight (LoS) links established by UAV. Since IRS is a promising solution for wireless environment reconfiguration, in this paper, we propose an aerial IRS-assisted secure transmission design in wireless networks. In particular, an access point (AP) equipped with a uniform planar array serves several single-antenna legitimate users in the presence of multiple single-antenna eavesdroppers, whose precise positions are unknown. An IRS is mounted on the UAV to help establish desired virtual LoS links between the AP and legitimate users, while ensuring their security. We aim to maximize the worst-case sum secrecy rate by jointly optimizing the hovering position of UAV, the transmit beamforming of AP and the phase shifts of IRS, subject to the requirement of minimum rate for legitimate users. To tackle this non-convex problem, we first decompose it into three subproblems, which are transformed into convex ones via successive convex approximation. An alternating algorithm is then proposed to solve them iteratively. Simulation results show the effectiveness of the proposed scheme and the security improvement by the joint optimization. © 1972-2012 IEEE.

关键词： Wireless networks

来源：评论

学校读者我要写书评

暂无评论

Generic Recommendation System for Business Process Modeling 6th

Generic Recommendation System for Business Process Modeling

引用

6th International Conference on Innovative Computing and Communication, ICICC 2023

作者： Shreya, J.L. Saini, Anu Kumari, Sunita Jain, Astha Department of Computer Science and Engineering Dr. SPM International Institute of Information Technology Naya Raipur India Department of Computer Science and Engineering G. B. Pant DSEU Okhla-1 Campus DSEU New Delhi India Tata Consultancy Services Limited Uttar Pradesh Noida India

ISBN: (纸本)9789819930098

Process modeling helps in the comprehension and reorganization of corporate activity. Manual process modeling takes longer time and is liable for errors. We propose to build and provide a supporting system for people who manage the creation and application of business process models for their organizations. Any person intending to build and get recommendations for business process models can utilize the proposed recommender system, depending upon the kind of organization the person is working for. The core functions of the recommender system are to recommend fragments of a business process model as well as in-built process models with the benefit of creating, storing, and utilizing them for multiple purposes. The recommendations are based on a number of factors such as the number of people who prefer a particular model along with the models’ ratings. Here, we use the basic principle of collaborative filtering. This recommendation system provides a user-friendly interface, with a lucid structure of query interface to help users surf easily. The recommendation system also avoids the risk of misusing users’ personal details since it does not use cookies. Users can freely utilize this recommendation system even if they are novice. This extended work takes into account all of the specifications of a business process model for a range of industries, such as education, software, food, medical, automotive, banking, and so on, thus developing a generic system. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Recommender systems

来源：评论

学校读者我要写书评

暂无评论

Proposal for Energy Consumption Reduction between Connected Objects in a Network Running on MQTT Protocol

引用

Journal of computer and Communications 2024年第10期12卷 177-188页

作者： Saidou Haman Djorwe Temoa Eric Michel Deussom Djomadji Kolyang Division of Information and Communications Technology National Advanced School of Posts Telecommunications and Information of Communication Technology University of Yaound 1 Yaound Cameroon Department of Computer Science and Telecommunications Engineering National Advanced School of Engineering of Maroua The University of Maroua Maroua Cameroon Department of Electrical and Electronic Engineering College of Technology University of Buea Buea Cameroon

The “Internet of Things” (IoT) refers to a set of intelligent “objects” that can communicate with each other directly or through a network. The IoT is the embodiment of the idea that everything can be connected anywhere and at any time. The concept can be applied to sectors such as e-health, e-government, automotive, geographic information systems, remote sensing, home networking, e-commerce and climate change mitigation. Unlike the Internet, the IoT has its own constraints, notably those linked to heterogeneity. This divergence is linked to different protocols, technologies and algorithms implemented in these connected objects for their interconnection. It should be noted that IoT devices can communicate with each other using different protocols and dedicated M2M (Machine to Machine) communication technologies. The aim of this work is to find solutions for optimising energy consumption during data exchanges between connected objects, with respect to certain constraints by using firstly this exchange for only Message Queuing Telemetry Transport (MQTT) and secondly the combination of the MQTT protocol and the Constrained Application Protocol (CoAP) protocol to check the quantity of the energy optimized. The MQTT protocol, for example, is one of the most widely used protocols for connected objects. Admittedly, this protocol consumes less energy, but in the situation of a very large number of users, the problem of saturation inevitably arises. In this article, we propose a solution of optimising energy consumption by combining the MQTT protocol with the CoAP protocol which can allow to use the standby mode contrary to the use of MQTT where the broker is always being turning. This solution has not yet been implemented but is being discussed. In this article, we’re going to use the joulemeter which is an application developed by Microsoft to measure and estimate the energy consumption of computers and applications. In our case, we take the example of the “Service Broker

关键词： Internet of Things Heterogeneity Message Queuing Telemetry Transport Constrained Application Protocol Application-Layer Semantic Gateway Gateway

来源：评论

学校读者我要写书评

暂无评论

Machine acceleration time series prediction for dimensional accuracy of 3D printed parts

引用

Data Science and Management 2024年第3期7卷 218-227页

作者： Jayanta Bhusan Deb Shilpa Chowdhury Soumik Chowdhury Gourab Paul Tonay Pal Jayeeta Deb Sudipta Deb Department of Engineering&Technology Western Carolina UniversityNC28723USA Department of Information Systems and Analysis Lamar UniversityTX77705USA Department of Computer Science The Memorial University of NewfoundlandNLA1B3X5Canada Department of Marketing University of DhakaDhaka1000Bangladesh Department of Management University of DhakaDhaka1000Bangladesh Department of Medicine and Surgery University of ChittagongChittagong4331Bangladesh Institute of Health Economics University of DhakaDhaka1000Bangladesh

This study explores the influence of infill patterns on machine acceleration prediction in the realm of three-dimensional(3D)printing,particularly focusing on extrusion *** primary objective was to develop a long short-term memory(LSTM)network capable of assessing this *** conducted an extensive analysis involving 12 distinct infill patterns,collecting time-series data to examine their effects on the acceleration of the printer’s *** LSTM network was trained using acceleration data from the adaptive cubic infill pattern,while the Archimedean chords infill pattern provided data for evaluating the network’s prediction *** involved utilizing offline time-series acceleration data as the training and testing datasets for the LSTM ***,the LSTM model was devised to predict the acceleration of a fused deposition modeling(FDM)printer using data from the adaptive cubic infill *** testing yielded a root mean square error(RMSE)of 0.007144,reflecting the model’s *** refinement and testing of the LSTM model were conducted using acceleration data from the Archimedean chords infill pattern,resulting in an RMSE of ***,the developed LSTM model demonstrated superior performance compared to an optimized recurrent neural network(RNN)in predicting machine acceleration *** empirical findings highlight that the adaptive cubic infill pattern considerably influences the dimensional accuracy of parts printed using FDM technology.

关键词： Extrusion-based 3D printing Printer acceleration predictionInfill pattern Root mean square error Dimensional accuracy

来源：评论

学校读者我要写书评

暂无评论

Brain Function Assessment of EEG in Mild Cognitive Impairment using Timelag Analysis

IEEJ Transactions on Electronics, Information and Systems

引用

IEEJ Transactions on Electronics, information and Systems 2025年第4期145卷 467-473页

作者： Tanabe, Akifumi Harachi, Kento Yamamoto, Yusuke Muramatsu, Ayumi Nagahara, Hajime Takemura, Noriko Shimojo, Shinji Furihata, Daisuke Mizuno-Matsumoto, Yuko Graduate School of Information Science University of Hyogo 7-1-28 Minatojima Minami Chuo-ku Hyogo Kobe650-0047 Japan Department of Medical Engineering Aino University 4-5-4 Higashi-Ohda Ibaraki Osaka567-0012 Japan D3 Center The University of Osaka 2-8 Yamadaoka Osaka Suita565-0871 Japan D3 Center The University of Osaka 5-1 Mihogaoka Ibaraki Osaka567-0047 Japan Graduate School of Computer Science and Systems Engineering Kyushu Institute of Technology 680-4 Kawazu Fukuoka Iizuka820-8502 Japan Faculty of Software and Information Technology Aomori University 2-3-1 Shachihata Aomori-shi Aomori030-0943 Japan

This research aimed to reveal the information process in the brain of the patients who suffered from mild cognitive impairment (MCI) using the power spectra and timelag analysis in electroencephalogram (EEG). The patients with MCI have memory or thinking problems, and are at a great risk of developing Alzheimer's disease or a related dementia. Ten patients with MCI and 13 healthy adults (non-MCI) were examined. The EEGs (122.88 seconds/subject) during a state of relaxation with the eyes closed, were analyzed using the Fourier analysis (power spectrum) and the timelag analysis. The results showed that the mean value of the power spectra in MCI was significantly higher than the mean value in non-MCI in the theta band. The mean value of the absolute timelag values (ATL) in MCI was significantly lower than the mean value in non-MCI in the frontal and left temporal areas. Our findings suggest that the features from EEG of MCI were abstracted in the theta band, and the propagation of information related to memory in brain would becoming fast in MCI. © 2025 The Institute of Electrical Engineers of Japan.

关键词： Electroencephalography

来源：评论

学校读者我要写书评

暂无评论

A Systematic Review: Remote Sensed Hyperspectral Image Segmentation and Caption Generation Using Deep Learning Methods 1

引用

2nd EAI International Conference on Pervasive knowledge and collective intelligence on Web and Social Media, PerSOM 2023

作者： Badhe, Namdeo Baban Bharadi, Vinayak Ashok Giri, Nupur Alegavi, Sujata Yele, Vijaykumar Department of Information Technology Finolex Academy of Management and Technology P-60 P-60/1 Midc Mirjole Block Maharashtra Ratnagiri415639 India Department of Computer Engineering Vivekanand Education Society’s Institute of Technology Hashu Adwani Memorial Complex Collector’s Colony Maharashtra Mumbai400074 India Mumbai400101 India Mumbai400101 India

ISBN: (数字)9783031660443

ISBN: (纸本)9783031660436

Hyperspectral images (HSIs) exhibit a high-dimensional nature, capturing data across numerous wavelengths in the electromagnetic spectrum, often spanning thousands of bands. It has found widespread applications in various real-life scenarios due to its ability to leverage the rich spectral information contained within each pixel. Deep Learning (DL) schemes offer a huge variety of chances to resolve traditional imaging tasks and also for approaching various simulating issues in the spatial-spectral region. This review work provides a systematic review of the relevant existing techniques based on HSI segmentation and image captioning. Initially, other DL methods like, Deep Belief Network (DBN), Convolutional Neural Network (CNN), Autoencoders, Fully Convolutional Neural Network (FCNN), UNet, and Graph Convolutional Network (GCN) are discussed. Secondly, a significant computer vision problem that has recently evolved is image captioning, which tries to automatically produce English explanations of an input image. Therefore, image captioning has garnered growing interest within the realm of remote sensing. This survey summarizes the relevant methods and concentrates on the feature extraction-based methods and attention mechanism-based techniques, which plays a significant role in image caption generation tasks. Finally, it provides the research gaps and its appropriate solution at the end of each survey. © ICST Institute for computer Sciences, Social Informatics and Telecommunications engineering 2024.

关键词： Convolutional neural networks

来源：评论

学校读者我要写书评

暂无评论

Exploring the Impact of Random Distribution Choices on Particle Swarm Optimization: An Initial Analysis 27

Exploring the Impact of Random Distribution Choices on Parti...

引用

27th International Conference on Knowledge Based and Intelligent information and engineering Sytems, KES 2023

作者： Kolodziejczyk, Joanna Tarasenko, Yuliia Sulikowski, Piotr Research Team on Intelligent Decision Support Systems Department of Artificial Intelligence Methods and Applied Mathematics Faculty of Computer Science and Information Technology West Pomeranian University of Technology in Szczecin ul. Zolnierska 49 Szczecin71-210 Poland National Institute of Telecommunications ul. Szachowa 1 Warsaw04-894 Poland Department of Information Systems Engineering Faculty of Computer Science and Information Technology West Pomeranian University of Technology in Szczecin ul. Zolnierska 49 Szczecin71-210 Poland

Particle Swarm Optimization (PSO) is a robust stochastic optimization algorithm for solving complex and constrained optimization problems. This paper aims to systematically investigate the influence of diverse random number distributions on the learning parameters of PSO and evaluate the algorithm's sensitivity based on these parameters. To this end, several exhaustive numerical experiments were conducted on several test functions, including asymmetric Sphere, Easom, and Csendes. Initially, appropriate random distributions were identified for the learning parameters and proceeded to compare these distributions using all potential combinations. The sensitivity of PSO to these parameters was evaluated using the mean best score, the relative proximity of the best particle to the theoretical optimum, and the average objective function evaluations. The most significant contribution of this research lies in the insights derived from the experimental data. The discovery was that highly skewed and long-tailed distributions such as Chi, Chi-square, Lomax, and Exponential often underperform. On the other hand, distributions that are bounded proportionally to the problem domain consistently surpass the performance of the standard uniform distribution. These findings significantly enhance the understanding of PSO algorithms and provide valuable guidelines for their practical deployment. © 2023 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (https://***/licenses/by-nc-nd/4.0)

关键词： Particle Swarm Optimization random number distribution stochastic optimization

来源：评论

学校读者我要写书评

暂无评论

A New Belief-Based Incomplete Pattern Unsupervised Classification Method : Extended Abstract 39

A New Belief-Based Incomplete Pattern Unsupervised Classific...

引用

39th IEEE International Conference on Data engineering, ICDE 2023

作者： Zhang, Zuowei Liu, Zhe Ma, Zongfang Zhang, Yiru Wang, Hao University of Rennes 1 Institut de Recherche en Informatique et Systèmes Aléatoires France Xi'an University of Architecture and Technology School of Information and Control Engineering China Norwegian University of Science and Technology Department of Computer Science Norway

ISBN: (纸本)9798350322279

Imputing the incomplete patterns in clustering tasks is a common but risky procedure, because the estimated values may affect the real distribution of the data and deteriorate the results. To address this problem, a new belief-based incomplete pattern unsupervised classification method (BPC) with uncertainty and imprecision reasoning is proposed in this paper. First, the complete patterns are grouped into a few clusters to obtain the corresponding reliable centers, and thereby are divided into reliable patterns and unreliable ones by an optimization method. Second, a basic classifier trained by reliable patterns is employed to classify unreliable patterns and incomplete patterns edited by the neighbors. Finally, some imprecise patterns are carefully reassigned again by a new distance-based rule depending on the obtained reliable centers and belief functions theory. The simulation results show that the BPC has the potential to deal with real datasets. © 2023 IEEE.

关键词： Uncertainty analysis

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：