检索结果-内蒙古大学图书馆

Asia-Pacific Conference on Microwave

作者： Mon-Li Chang Sung-Nien Hsieh Hsiang-En Hsieh Ding-Bing Lin Hsi-Tseng Chou 1Department of Electronic and Computer Engineering National Taiwan University of Science and Technology Taipei Taiwan Graduate Institute of Communication Engineering National Taiwan University Taipei Taiwan

ISBN: (数字)9798350363548

ISBN: (纸本)9798350363555

This study proposes a dual-polarization array antenna design applied to the Ku band low-orbit satellite communication system. The application scenario of this design can be used in the uplink and downlink frequency bands of satellite communication. The downlink frequency band is designed from 11 GHz to 12 GHz, and the uplink frequency band is designed from 13.75 GHz to 14.6 GHz. In addition, this paper also adds a dual-polarization antenna architecture. In satellite communication, the antenna polarization of the ground equipment uses a dual polarization antenna architecture. In the design of the receiver, the signals of two different polarizations can be processed separately. Use signal processing to get the correct signal.

关键词： Microwave antennas Satellite antennas Receivers Microwave devices Signal processing Microwave communication Downlink Antenna feeds Ku-band Uplink

来源：评论

学校读者我要写书评

暂无评论

Milestones of Wireless Communication Networks and technology Prospect of Next Generation(6G)

引用

computers, Materials & Continua 2022年第6期71卷 4803-4818页

作者： Mohammed H.Alsharif Md.Sanwar Hossain Abu Jahid Muhammad Asghar Khan Bong Jun Choi Samih M.Mostafa Department of Electrical Engineering College of Electronics and Information EngineeringSejong University209 Neungdong-roGwangjin-guSeoul05006Korea Department of Electrical and Electronic Engineering Bangladesh University of Business and TechnologyDhaka1216Bangladesh Department of Electrical&Computer Engineering University of OttawaOttawaON K1N 6N5Canada Department of Electrical Engineering Hamdard University KarachiIslamabad CampusIslamabad44000Pakistan School of Computer Science and Engineering&School of Electronic Engineering Soongsil UniversitySeoulKorea Faculty of Computers and Information South Valley UniversityQena83523Egypt Academy of Scientific Research and Technology Cairo11516Egypt

Since around 1980,a new generation of wireless technology has arisen approximately every 10 ***-generation(1G)and secondgeneration(2G)began with voice and eventually introduced more and more data in third-generation(3G)and became highly popular in the fourthgeneration(4G).To increase the data rate along with low latency and mass connectivity the fifth-generation(5G)networks are being installed from ***,the 5G technology will not be able to fulfill the data demand at the end of this ***,it is expected that 6G communication networks will rise,providing better services through the implementation of new enabling technologies and allowing users to connect everywhere.6G technology would not be confined to cellular communications networks,but would also comply with non-terrestrial communication system requirements,such as satellite *** ultimate objectives of this work are to address the major challenges of the evolution of cellular communication networks and to discourse the recent growth of the industry based on the key scopes of application and *** main areas of research topics are summarized into(i)major 6G wireless networkmilestones;(ii)key performance indicators;(iii)future new applications;and(iv)potential fields of research,challenges,and open issues.

关键词： Wireless networks beyond 5G 6G communications terahertz frequency terahertz communications holographic calls

来源：评论

学校读者我要写书评

暂无评论

Interdependency patterns of potential seaport risk factors in relation to supply chain disruption in Indonesia

引用

Journal of Shipping and Trade 2023年第1期8卷 6页

作者： Do. Bagus, Muhammad Reza Hanaoka, Shinya Department of Transdisciplinary Science and Engineering Tokyo Institute of Technology 2-12-1 O-okayama Meguro-ku Tokyo 152-8550 Japan Department of Information System College of Informatics and Computer Management Tidore Mandiri (STMIK Tidore Mandiri) Tidore Indonesia

As an integral part of the global supply chain network, Indonesian supply chain entities should understand conditional seaport risk factors that could lead to seaport threats that affect supply chain continuity. This study aims to provide a procedure for evaluating the interdependencies, implications, and correlations among various seaport risk factors for supply chain threats, specifically by investigating current practices in the developed economic region of Indonesian seaport operations. The study uses a rough set method to solve feature selection problems and multivariate analysis of variance to assess the correlation between dependent and independent variables. We find 39 conditional seaport risk factors that are potentially influenced by about 21 dependent factors related to seaport-fulcrum supply chain entities. Furthermore, threats from the planning process, infrastructure, seaport service process, distribution process, financial costs of nuclear enterprises and security existed and affluent highest potential risk in Indonesia. © 2023, The Author(s).

关键词： Association rule mining Genetic algorithm Interdependency risk analysis Rule rough set theory Seaport risk factors

来源：评论

学校读者我要写书评

暂无评论

Arabic Fake News Detection Using Machine Learning Approach

Arabic Fake News Detection Using Machine Learning Approach

引用

2024 International Symposium on Networks, computers and Communications, ISNCC 2024

作者： Duridi, Tasneem Eleyan, Derar Eleyan, Amna Bejaoui, Tarek Palestine Technical University Department of Computer Science Tulkarm Palestine Nablus University for Technical and Vocational Education Faculty of Telecomm. and Information Technology Nablus Palestine Palestine Technical University - Kadoorie Department of Computer Science Tulkarm Palestine Manchester Metropolitan University Department of Computing and Mathematics ManchesterM1 5GD United Kingdom University of Carthage Computer Engineering Department Tunisia

ISBN: (纸本)9798350364910

In the contemporary digital realm, the widespread dissemination of false Arabic news is a significant social concern laden with various risks. Recognizing the seriousness of this issue, our research utilizes cutting-edge technologies, specifically Machine Learning, to distinguish between authentic Arabic news and deceptive counterparts. The consequences of propagating misinformation go beyond compromising social cohesion;they extend to the erosion of digital information's credibility, fostering an atmosphere of mistrust and deception that undermines the very foundations of societal bonds. Through the application of contemporary technologies, this study aims to identify and underscore Arabic news that embodies such risks. The intricate characteristics of Arabic language morphology, marked by words carrying multiple meanings based on inflectional forms and the prevalence of numerous diacritical marks, intensify the challenges of text classification. Despite contending with these linguistic intricacies, modern natural language processing approaches offer practical solutions. Notably, our methodology relies on the preprocessing of two available datasets for training and testing, a crucial step for seamlessly integrating a range of Machine Learning techniques, including Random Forest (RF), Logistic Regression (LR), Decision Tree (DT), and Multinomial Naive Bayes (NB). Importantly, the Logistic Regression technique emerged as the most effective, achieving an accuracy of 95.92% in the SANAD dataset for discerning nuanced Arabic news © 2024 IEEE.

关键词： Adversarial machine learning

来源：评论

学校读者我要写书评

暂无评论

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

引用

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

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：