检索结果-内蒙古大学图书馆

9th IEEE International Conference on Photonics, ICP 2022

作者： Mahmood, Rawa Muayad Yaakob, Syamsuri Ahmad, Faisul Arif Ahmad Anas, Siti Barirah Zan, Zuraidah Hassan, Ahmed Kadir, Muhammad Zamzuri Abdul Beson, Mohd Rashidi Che Mahmud, Azwan Faculty of Engineering Wipnet Department of Computer and Communication Systems Engineering Serdang Selangor43400 Malaysia Kulliyyah of Science International Islamic University Malaysia Jalan Sultan Ahmad Shah Bandar Indera Mahkota 25200 Kuantan Pahang Malaysia Kangar Perlis01000 Malaysia Multimedia University Faculty of Engineering Cyberjaya Selangor Malaysia

ISBN: (数字)9781665427661

ISBN: (纸本)9781665427661

Dense wavelength division multiplexing (DWDM) and radio over fiber (RoF) are promising technologies that are able to provide unlimited transmission capacity, which meets the growing demands of bandwidth in communication systems. In this paper, an architecture for DWDM-RoF access networks uses a single Mach Zehnder modulator (MZM) to generate the mm-wave signal. This paper aims to study the effect of phase imbalance on the mm-wave signal to reduce the insertion loss in the system. It is found that the phase imbalance affects the insertion loss. The phase imbalance can be controlled by adjusting the injected phase, and the best result is collected at π 3 and 5π 12 phases. © 2022 IEEE.

关键词： Radio-over-fiber

来源：评论

学校读者我要写书评

暂无评论

FolkRank++: An optimization of folkrank tag recommendation algorithm integrating user and item information

引用

KSII Transactions on Internet and Information systems 2021年第1期15卷 1-19页

作者： Zhao, Jianli Zhang, Qinzhi Sun, Qiuxia Huo, Huan Xiao, Yu Gong, Maoguo College of Computer Science and Engineering Shandong University of Science and Technology Qingdao China College of Mathematics and Systems Science Shandong University of Science and Technology Qingdao China Faculty of Engineering and Information Technology University of Technology SydneyAustralian Australia Key Laboratory of Intelligent Perception and Image Understanding Ministry of Education Xidian University Xi'an China

The graph-based tag recommendation algorithm FolkRank can effectively utilize the relationships between three entities, namely users, items and tags, and achieve better tag recommendation performance. However, FolkRank does not consider the internal relationships of user-user, item-item and tag-tag. This leads to the failure of FolkRank to effectively map the tagging behavior which contains user neighbors and item neighbors to a tripartite graph. For item-item relationships, we can dig out items that are very similar to the target item, even though the target item may not have a strong connection to these similar items in the user-item-tag graph of FolkRank. Hence this paper proposes an improved FolkRank algorithm named FolkRank++, which fully considers the user-user and item-item internal relationships in tag recommendation by adding the correlation information between users or items. Based on the traditional FolkRank algorithm, an initial weight is also given to target user and target item's neighbors to supply the user-user and item-item relationships. The above work is mainly completed from two aspects: (1) Finding items similar to target item according to the attribute information, and obtaining similar users of the target user according to the history behavior of the user tagging items. (2) Calculating the weighted degree of items and users to evaluate their importance, then assigning initial weights to similar items and users. Experimental results show that this method has better recommendation performance. © 2021 Korean Society for Internet Information. All rights reserved.

关键词： Behavioral research

来源：评论

学校读者我要写书评

暂无评论

StixelNExT: Toward Monocular Low-Weight Perception for Object Segmentation and Free Space Detection

StixelNExT: Toward Monocular Low-Weight Perception for Objec...

引用

IEEE Symposium on Intelligent Vehicle

作者： Marcel Vosshans Omar Ait-Aider Youcef Mezouar Markus Enzweiler Institute for Intelligent Systems Which is Part of the Faculty of Computer Science and Engineering University of Applied Sciences Esslingen Germany Institut Pascal ISPR (Image Systems of Perception Robotics) Universite Clermont Auvergne INP / CNRS France

ISBN: (数字)9798350348811

ISBN: (纸本)9798350348828

In this work, we present a novel approach for general object segmentation from a monocular image, eliminating the need for manually labeled training data and enabling rapid, straightforward training and adaptation with minimal data. Our model initially learns from LiDAR during the training process, which is subsequently removed from the system, allowing it to function solely on monocular imagery. This study leverages the concept of the Stixel-World to recognize a medium level representation of its surroundings. Our network directly predicts a 2D multi-layer Stixel-World and is capable of recognizing and locating multiple, superimposed objects within an image. Due to the scarcity of comparable works, we have divided the capabilities into modules and present a free space detection in our experiments section. Furthermore, we introduce an improved method for generating Stixels from LiDAR data, which we use as ground truth for our network.

关键词： Training Space vehicles Adaptation models Laser radar Image recognition Intelligent vehicles Training data

来源：评论

学校读者我要写书评

暂无评论

Impact on mental health due to COVID-19 pandemic: A cross-sectional study in Bangladesh

引用

Clinical eHealth 2023年第1期6卷 42-52页

作者： Pathan, Refat Khan Biswas, Munmun Yasmin, Suraiya Uddin, Mohammad Amaz Das, Anindya Khandaker, Mayeen Uddin Faruque, M.R.I. Sarker, Moniruzzaman Dept. of Computing and Information Systems School of Engineering and Technology Sunway University Selangor Bandar Sunway 47500 Malaysia Dept. of Computer Science and Engineering BGC Trust University Bangladesh Chittagong 4381 Bangladesh Department of Computer and Information Science Tokyo University of Agriculture and Technology Koganei - 184-0012 Tokyo Japan Dept. of Computer Science and Engineering Chittagong University of Engineering and Technology Chittagong 4349 Bangladesh Dept. of Electrical and Electronic Engineering Chittagong University of Engineering and Technology Chittagong 4349 Bangladesh Center for Applied Physics and Radiation Technologies School of Engineering and Technology Sunway University Selangor Bandar Sunway 47500 Malaysia Space Science Centre Universiti Kebangsaan Malaysia 43600 UKM Selangor Bangi Malaysia Department of Marketing Sunway University Business School Sunway University Selangor Bandar Sunway 47500 Malaysia Faculty of Graduate Studies Daffodil International University Daffodil Smart City Birulia Savar Dhaka – 1216 Bangladesh

The government of Bangladesh has implemented the “Stay Home” policy following the WHO recommendation to resist the community transmission of Covid-19. As a result, the routine activities of all government, semi-government establishments, including educational institutions, are severely affected, and the country's economic growth becomes slowed down. To overcome such a situation, the relevant authorities have introduced the “Work from Home” policy for the employees and “Remote Education” for students. However, due to the persistence of multi-dimensional socio-economic problems, many employees and students face big challenges in performing their regular jobs while adopting such a policy. Consequently, enormous psychological anxiety has been developed for all people, including students, parents, employees, etc., and concurrently created severe changes in their behavior. This study aims to analyze the reasons for the behavioral changes of the employees, students, academic staff, and family members of different ages due to psychological anxiety, stress, or physical issues. A comprehensive online-based survey has been carried out on people working in various sectors in Bangladesh. A modified Apriori Algorithm has been used to sort out the associations between the causes and types of behavioral changes. Analyzed data revealed a massive human behavioral change in most participants. This finding indicates that the negligence of those significant human behavioral changes may cause a higher risk of creating psychological imbalance. Therefore, there is a need to have a solid understanding of the reasons for the behavioral changes and set up standard guidelines to maintain “Work from Home” in this Covid-19 situation to avoid psychological imbalance. Based on this study, some suggestions have been given for implementation by the government on an urgent basis. © 2023

关键词： Apriori algorithm Behavioral changes Covid-19 outbreak Family crisis Work from home

来源：评论

学校读者我要写书评

暂无评论

Investigation of the acceleration influence on friction in bearings in dual-spin missile

引用

Materials Today: Proceedings 2023年 93卷 817-823页

作者： Ivana Todić Vladimir Kuzmanović University of Belgrade Faculty of Mechanical Engineering Weapon Systems Department Kraljice Marije 16 11120 Belgrade Serbia University of Belgrade Faculty of Mathematics Department for Computer Science and Informatics Studentski Trg 16 11000 Belgrade Serbia

Rockets and missiles fired from a tube usually have aerodynamic surfaces that are packed when the rocket is in the tube. One of the common fins folding solutions is the wrap-around fins. The wrap-around fins are usually separated from the rocket’s body by a bearing; thus the characteristics and the type of bearings used will have an effect on roll stabilization and the performance of roll stabilization autopilot. Also, during the flight, many forces act upon the missile thus affecting its exposed components. In turn, this may also affect the performance of the bearings that allow the wrap-around fins to rotate independently around the missile’s body. This dual-spin concept increases roll stabilization efficiency and reduces induced roll from lateral control. For this design to be effective and achieve the desired performance, it is critical to analyze how the movements of the missile affect the bearing separating the body from the wrap-around fins. Since the sections are separated by the bearing, various imperfections of the joint such as friction, misalignment, etc. combined with the acceleration of the missile may have a transitional influence on the performance of the wrap-around fins and thus roll stabilization. In this paper, we will first identify and explain the problem of acceleration influence on friction in bearings. Next, the laboratory equipment and experimental procedures for examining friction in bearings will be described in detail. We will then present and analyze the results obtained from the experiments. Finally, we will draw conclusions and present the design modification this investigation has led to as well as the improved roll autopilot performance achieved by using the appropriate bearing.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Joint Hybrid Beamforming and RIS Phase Shift Design for RIS-Enabled Mmwave ISAC System

引用

IEEE Transactions on Vehicular Technology 2025年

作者： Wang, Lu Abanto-Leon, Luis F. Asadi, Arash Ruhr University Bochum Faculty of Electrical Engineering and Information Technology Bochum Germany Technical University of Darmstadt Department of Computer Science Darmstadt64289 Germany TU Delft Embedded Systems Group DelftCD 2628 Netherlands

Empowering cellular networks with augmented sensing capabilities is a key research area in sixth generation (6 G) communication systems. Recently, we have witnessed a plethora of efforts to devise solutions that integrate sensing capabilities into communication systems, i.e., integrated sensing and communication (ISAC), especially at millimeter-wave (mmWave) frequencies with large bandwidths. Despite the challenges posed by severe path loss and blockage at mmWave bands, this work incorporates reconfigurable intelligent surfaces (RISs) into ISAC systems to enhance both sensing and communication. To comply with the waveform utilized in current cellular systems, this paper studies mmWave orthogonal frequency-division multiplexing (OFDM) ISAC systems in the presence of RISs. Specifically, we jointly design the hybrid beamforming and RIS phase shifts to guarantee the sensing functionalities via minimizing the beampattern mean squared error at RIS, subject to signal-to-interference-plus-noise (SINR) and power constraints. The non-convexity of the investigated problem poses a challenge which we address by proposing a solution based on the penalty method and manifold-based alternating direction method of multipliers (ADMM). Simulation results demonstrate that both sensing and communication capabilities improve when the RIS is adequately designed. In addition, we discuss the tradeoff between sensing and communication. © 2025 IEEE.

关键词： Mean square error

来源：评论

学校读者我要写书评

暂无评论

Enhanced Distributed Self-Healing System for Electrical Distribution Networks Using ADMM

Enhanced Distributed Self-Healing System for Electrical Dist...

引用

IEEE General Meeting Power& Energy Society

作者： Juan Camilo López E. T. Marco Gerards Johann L. Hurink Marcos J. Rider Department of Systems and Energy School of Electrical and Computer Engineering University of Campinas (UNICAMP) Campinas SP Brazil Faculty of Electrical Engineering Mathematics and Computer Science University of Twente (UT) Enschede Overijssel the Netherlands

Unlike centralized versions, a distributed self-healing system (SHS) for electrical distributed systems is less vulnerable to single-point failures (or attacks), requires less information from the agents, and is more scalable. However, optimality is challenging to achieve because binary variables are used in the modelling of the distributed service restoration problem. To deal with this challenge, this paper proposes an enhanced alternating direction method of multipliers (ADMM)based algorithm used to developed a fully distributed SHS in electrical distribution networks. Hereby, three ADMM-based heuristics are executed in parallel to improve the chances of obtaining a feasible solution. However, if none of the heuristics converge within given reasonable time, the proposed distributed SHS uses a basic restoration plan that is feasible in terms of topology and operational constraints. Results using the IEEE 123node system show that the proposed distributed SHS is reliable and it always provides a feasible solution.

关键词：

来源：评论

学校读者我要写书评

暂无评论

A Data Integration Framework with Multi-Source Big Data for Enhanced Forest Fire Prediction

A Data Integration Framework with Multi-Source Big Data for ...

引用

IEEE International Conference on Big Data

作者： Parveen Kaur Kshirasagar Naik Richard Purcell Srinivas Sampalli Chung-Horng Lung Marzia Zaman Abdul Mutakabbir Electrical and Computer Engineering University of Waterloo Waterloo ON Canada Faculty of Computer Science Dalhousie University Halifax NS Canada Systems and Computer Engineering Carleton University Ottawa ON Canada Research and Development Cistel Technology Ottawa ON Canada

Forest fires pose imminent threats to ecosystems and human lives, necessitating precise prediction for effective mitigation. The challenges include managing extensive big data and addressing data imbalance. This study introduces a data integration framework that integrates data from remote sensing satellites, ground-based weather stations, and other sources to create a comprehensive weather database spanning 18 years in Alberta, Canada. Machine learning methods, including Random Forest, eXtreme Gradient Boosting, and Multi-Layer Perceptron are employed to evaluate forest fire prediction performance, overcoming the challenge of data imbalance through changes in spatial resolution, spatio-subsamping, and downsampling techniques. XGBoost exhibits results with an ROC-AUC score of 87.2% and a sensitivity of 75%.Using meteorological data and fire history improves prediction, demonstrating big data and machine learning’s role in addressing forest fire challenges.

关键词：

来源：评论

学校读者我要写书评

暂无评论

A Comparative Study of Energy Graph-Based Fault Detection and Isolation Techniques Applied to a Lignite Plant

SSRN

引用

SSRN 2023年

作者： Smith, JanHendrik van Schoor, George Uren, Kenneth Richard van Eldik, Martin Worlitz, Frank School of Electrical Electronic and Computer Engineering Faculty of Engineering North-West University South Africa Unit for Energy and Technology Systems Faculty of Engineering North-West University South Africa School of Mechanical Engineering Faculty of Engineering North-West University South Africa Faculty of Electrical Engineering and Computer Science University of Applied Sciences Zittau Görlitz Germany

Energy and exergy distribution in a system holds theoretical meaning across the physical domains of these systems and can therefore convey important information regarding its health. This energy information, however, requires careful analysis and representation to sufficiently convey its meaning. In this paper, a comparative study of three such analysis methods for the purpose of fault detection and fault isolation are discussed. These methods are designated as: 1) distance parameter method, 2) eigenvalue decomposition method and 3) residual method. The study utilises data from a physical lignite plant in Janschwalde, Germany, in combination with simulation data of specific faults in order to compare the sensitivity and robustness of the three methods. This is evaluated with respect to fault detection and isolation when noise and fluctuation in the system’s operating conditions are present at the full load operating point of the system. Each of these methods is an energy graph-based technique that relies on the energy information encapsulated within a node signature matrix, as defined by modern graph theory. The graphs capture the process topology and connectivity showing the causal relationship between the energy variables in a system, making it ideal for FDI applications. © 2023, 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

Performance of Artificial Intelligence Models in Analysis and Prediction of Water Potability

Performance of Artificial Intelligence Models in Analysis an...

引用

2022 International Telecommunications Conference, ITC-Egypt 2022

作者： El-Attar, Noha E. Lotfy, Hesham R. Awad, Wael A. Benha University Faculty of Computers and Artificial Intelligence Department of Information Systems Benha Egypt Delta University Faculty of Engineering Basic Sciences Department Coastal High Way Gamasa Al-Dakahlia Egypt Damietta University Faculty of Computers and Artificial Intelligence Department of Computer Science Damietta Egypt

ISBN: (数字)9781665488082

ISBN: (纸本)9781665488082

Water is a prime necessity for the survival and sustenance of all living beings. Thus, it is very important to maintain a water quality balance. Otherwise, it would seriously damage the health of humans and severely affect the ecological balance among other species. Water quality is an important factor to consider, whether for ecosystem needs or contamination levels that directly impact health, hygiene, food, and the economy. In this study, we have utilized Artificial Intelligence as an efficient technique to predict water quality without resorting to the traditional analysis methods of water monitoring. We have developed a convolutional neural network as a deep learning algorithm and applied five kinds of machine learning algorithms: Backpropagation Neural Network, Random Forest, Decision Jungle, Naive Bayes, Logistic Regression, and Support Vector Machine. The reported results of the classification process showed that the CNN has superior to the other machine learning algorithms in predicting the water potability based on the eight adopted parameters of water properties. CNN has achieved nearly 97% accuracy in the prediction process, while RF, the best one in the utilized machine learning algorithms, has recorded 81%. In addition, CNN has also proven its capability to reduce classification processing time. © 2022 IEEE.

关键词： Water quality

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：