检索结果-内蒙古大学图书馆

5th International Conference on Future Networks and Distributed Systems: The Premier Conference on Smart Next Generation Networking Technologies, ICFNDS 2021

作者： Kara, Mostefa Laouid, Abdelkader Bounceur, Ahcene Hammoudeh, Mohammad Alshaikh, Muath Kebache, Romaissa Liap Laboratory El Oued University PO Box 789 El Oued39000 Algeria Lab-STICC Umr Cnrs University of Western Brittany Ubo Brest6285 France School of Computing Mathematics and Digital Technology Manchester Metropolitan University ManchesterM1 5GD United Kingdom Computer Science Department College of Computing and Informatics Saudi Electronic University Riyadh11673 Saudi Arabia

ISBN: (纸本)9781450387347

The importance of drone use is increasing in all fields due to several characteristics and advantages they provide, such as saving lives, quality imaging, and being easily controllable. In addition, Unmanned Aerial Vehicle (UAV) prices are going to decrease, this has contributed greatly to an increase in demand for them. However, many challenges face the widespread use of UAVs. One of the most important challenges is his vulnerability to hacking. This paper presents a semi-decentralized collaboration model for the secure measurement of drone positions. The proposed model is based on choosing a leader for each specified period of time by a lightweight consensus algorithm. The leader gets his position using satellites, other drone team members are based on the leader's safe position to find their locations in a way that is immune to GPS spoofing. Our proposal study shows the extent of the security level it provides against spoofing attacks. © 2021 ACM.

关键词： Drones

来源：评论

学校读者我要写书评

暂无评论

Quantum uncertainty as classical uncertainty of real-deterministic variables constructed from complex weak values and a global random variable

引用

Physical Review A 2021年第2期103卷 022215-022215页

作者： Agung Budiyono Hermawan K. Dipojono Research Center for Nanoscience and Nanotechnology Bandung Institute of Technology Bandung 40132 Indonesia Department of Engineering Physics Bandung Institute of Technology Bandung 40132 Indonesia Laboratory for Quantum Technology School of Electrical Engineering and Informatics Bandung Institute of Technology Bandung 40132 Indonesia Kubus Computing and Research Juwana Pati 59185 Indonesia

What does it take for real-deterministic c-valued (i.e., classical, commuting) variables to comply with the Heisenberg uncertainty principle? Here, we construct a class of real-deterministic c-valued variables out of the weak values obtained via a nonperturbing weak measurement of quantum operators with a postselection over a complete set of state vectors basis, which always satisfies the Kennard-Robertson-Schrödinger uncertainty relation. First, we introduce an auxiliary global random variable and couple it to the imaginary part of the weak value to convert the incompatibility between the quantum operator and the basis into the fluctuation of an “error term,” and then superimpose it onto the real part of the weak value. We show that this class of “c-valued physical quantities” provides a real-deterministic contextual hidden-variable model for the quantum expectation value of a certain class of operators. We then show that the Schrödinger and the Kennard-Robertson lower bounds can be obtained separately by imposing the classical uncertainty relation to the c-valued physical quantities associated with a pair of Hermitian operators. Within the representation, the complementarity between two incompatible quantum observables manifests the absence of a basis wherein the error terms of the associated two c-valued physical quantities simultaneously vanish. Furthermore, quantum uncertainty principle is captured by a specific irreducible epistemic restriction between the two c-valued physical quantities, foreign in classical mechanics, constraining the allowed form of their joint distribution. We then suggest an epistemic interpretation of the two terms decomposing the c-valued physical quantity as the optimal estimate under the epistemic restriction and the associated estimation error, and discuss the classical limit.

关键词： Quantum formalism Quantum foundations Quantum measurements Quantum parameter estimation Quantum-to-classical transition

来源：评论

学校读者我要写书评

暂无评论

Multi-scale and multi-view network for lung tumor segmentation

引用

Computers in Biology and Medicine 2024年 172卷 108250-108250页

作者： Liu, Caiqi Liu, Han Zhang, Xuehui Guo, Jierui Lv, Pengju Department of Gastrointestinal Medical Oncology Harbin Medical University Cancer Hospital Heilongjiang Harbin China Key Laboratory of Molecular Oncology of Heilongjiang Province Heilongjiang Harbin China The Institute for Global Health University College London London United Kingdom Beidahuang Industry Group General Hospital Heilongjiang Harbin China Center for Bioinformatics Faculty of computing Harbin Institute of Technology Heilongjiang Harbin China School of Medical Informatics Daqing Campus Harbin Medical University Heilongjiang Daqing China

Lung tumor segmentation in medical imaging is a critical step in the diagnosis and treatment planning for lung cancer. Accurate segmentation, however, is challenging due to the variability in tumor size, shape, and contrast against surrounding tissues. In this work, we present MSMV-Net, a novel deep learning architecture that integrates multi-scale multi-view (MSMV) learning modules and multi-scale uncertainty-based deep supervision (MUDS) for enhanced segmentation of lung tumors in computed tomography images. MSMV-Net capitalizes on the strengths of multi-view analysis and multi-scale feature extraction to address the limitations posed by small 3D lung tumors. The results indicate that MSMV-Net achieves state-of-the-art performance in lung tumor segmentation, recording a global Dice score of 55.60% on the LUNA dataset and 59.94% on the MSD dataset. Ablation studies conducted on the MSD dataset further validate that our method enhances segmentation accuracy. © 2024 Elsevier Ltd

关键词： Medical imaging

来源：评论

学校读者我要写书评

暂无评论

Enhancing face recognition attendance system utilizing real-time face tracking

Internet of Things

引用

Internet of Things 2025年 33卷

作者： Emmanuel Bugingo Obed Imbahafi Athnatius Caius Umeonyirioha Tohari Ahmad Ntivuguruzwa Jean De La Croix Anne Marie Uwumuremyi School of Computing and Information Technology University of Kigali Rwanda College of Business and Economics University of Rwanda Rwanda School of Computer Science and Technology Hangzhou Dianzi University China Department of Informatics Institut Teknologi Sepuluh Nopember Indonesia

Manual roll calls and existing biometric attendance systems, which capture attendance only at the start or end of class, are prone to inaccuracies such as proxy attendance and fail to monitor students’ presence throughout the sessions in schools. This study proposes an enhanced face recognition attendance system utilizing real-time face tracking to ensure accuracy and reliability in attendance tracking. The system captures facial data using OpenCV for detection and a CNN-based library for recognition, logging attendance at 30 min intervals. A minimum presence of 80% of the session must be marked present. Attendance records are synchronized in real time using Firebase, and insights are generated using Plotly for visual analytics. The system achieves a recognition accuracy of 94% under optimal conditions and demonstrates robustness under varying environments. Comparative analysis with existing algorithms highlights its improved scalability and usability, significantly advancing over traditional methods.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Effective implementation of l0-Regularised Compressed Sensing with Chaotic-Amplitude-Controlled Coherent Ising Machines

arXiv

引用

arXiv 2023年

作者： Gunathilaka, Mastiyage Don Sudeera Hasaranga Kako, Satoshi Inui, Yoshitaka Mimura, Kazushi Okada, Masato Yamamoto, Yoshihisa Aonishi, Toru School of Computing Tokyo Institute of Technology Kanagawa Yokohama Japan Physics and Informatics Laboratories NTT Research Inc. 940 Stewart Dr SunnyvaleCA94085 United States E. L. Ginzton Laboratory Stanford University StanfordCA94305 United States Graduate School of Information Sciences Hiroshima City University Hiroshima Japan Graduate School of Frontier Sciences The University of Tokyo Chiba Kashiwa Japan

Coherent Ising Machine (CIM) is a network of optical parametric oscillators that can solve large-scale combinatorial optimisation problems by finding the ground state of an Ising Hamiltonian. As a practical application of CIM, Aonishi et al., proposed a quantum-classical hybrid system to solve optimisation problems of l0-regularisation-based compressed sensing. In the hybrid system, the CIM was an open-loop system without an amplitude control feedback loop. In this case, the hybrid system is enhanced by using a closed-loop CIM to achieve chaotic behaviour around the target amplitude, which would enable escaping from local minima in the energy landscape. Both artificial and magnetic resonance image data were used for the testing of our proposed closed-loop system. Compared with the open-loop system, the results of this study demonstrate an improved degree of accuracy and a wider range of effectiveness. Copyright © 2023, The Authors. All rights reserved.

关键词： Combinatorial optimization

来源：评论

学校读者我要写书评

暂无评论

Safe and Secure Software-Defined Networks for Smart Electricity Substations 12th

Safe and Secure Software-Defined Networks for Smart Electric...

引用

12th Asian Conference on Intelligent Information and Database Systems, ACIIDS 2020

作者： Holik, Filip Broadbent, Matthew Findrik, Mislav Smith, Paul Race, Nicholas Faculty of Electrical Engineering and Informatics University of Pardubice Pardubice Czech Republic School of Computing and Communications Lancaster University Lancaster United Kingdom AIT Austria Institute of Technology Vienna Austria

ISBN: (纸本)9789811533792

The next generation of smart electricity substations and grids are on the horizon. Part of the drive behind this movement is a need to improve safety and security. In parallel, software-defined networking has been proposed as a disruptive approach when deployed in these environments, presenting the opportunity to deploy novel functionality alongside existing forwarding behaviour. The benefits of software-defined networking are clear. Yet, if this technology is deployed without due care and attention, then it has the potential to reduce the safety and security of energy systems. In this paper we identify the aspects that must be considered to maintain the stringent requirements imposed by substation networks. With these as a basis, we provide recommendations for the successful deployment of software-defined networking technologies in these environments. We then demonstrate how additional functionality can be brought to the network without violating these requirements. © 2020, Springer Nature Singapore Pte Ltd.

关键词： Software defined networking

来源：评论

学校读者我要写书评

暂无评论

Exploring the integration of multi criteria decision analysis in the clean energy biodiesels applications: A systematic review and gap analysis

引用

Engineering Applications of Artificial Intelligence 2024年 133卷

作者： Alamoodi, A.H. Garfan, Salem Al-Zuhairi, Omar Zaidan, B.B. Zaidan, A.A. Albahri, O.S. Y.Y. Ahmaro, Ibraheem Albahri, A.S. Yussof, Salman Magableh, Aws A. Institute of Informatics and Computing in Energy Universiti Tenaga Nasional Malaysia Hourani Center for Applied Scientific Research Al-Ahliyya Amman University Amman19328 Jordan Perak Malaysia Applied Science Research Center Applied Science Private University Amman Jordan Low Dimensional Materials Research Centre Department of Physics Faculty of Science Universiti Malaya Kuala Lumpur50603 Malaysia SP Jain School of Global Management Lidcombe SydneyNSW2141 Australia International Graduate School of Artificial Intelligence National Yunlin University of Science and Technology Douliu Taiwan Victorian Institute of Technology Australia Computer Techniques Engineering Department Mazaya University College Nasiriyah Iraq Computer Science Department College of Information Technology Hebron University Hebron Palestine Technical College Imam Ja'afar Al-Sadiq University Baghdad Iraq Department of Information Systems Yarmouk University Irbid Jordan Baghdad Iraq Department of Computing College of Computing and Informatics Universiti Tenaga Nasional Malaysia Departments of Software Engineering Prince Sultan University Riyad Saudi Arabia

Biodiesel has gained tremendous attention from researchers due to its environmentally friendly and renewable fuel manufactured domestically from vegetable oils or animal fats. Multiple factors, including emission and fuel efficiency, measure the performance of biodiesel. These characteristics make the process of evaluation and benchmarking a multi-criteria decision-making (MCDM) problem. This research attempts to survey the literature for multi-criteria decision-making applications on biodiesel. This systematic review was carried out on four scientific databases: PubMed, ScienceDirect, IEEE Xplore, and WoS. The collected articles were summarized and mapped into a coherent taxonomy, while the main challenges, motivations, and recommendations were collected and categorized for better understanding and finding out essential characteristics. The final set of included articles was 33, and they were categorized into six different categories. Most articles (n=15/33) investigated the evaluation and selection of biodiesel alternatives using MCDM. Furthermore, a state-of-art bibliometric analysis is provided. The analysis demonstrates several challenges in this area, such as source selection, optimum fuel blending, and uncertainty. This article is expected to assist future researchers in addressing the current gaps and contribute to advancing this area. © 2024 Elsevier Ltd

关键词： Biodiesel

来源：评论

学校读者我要写书评

暂无评论

Current Problems and Proposed Solutions for the Electronic Commerce Sector

Current Problems and Proposed Solutions for the Electronic C...

引用

Computer Science and Emerging Technologies (CSET), International Conference on

作者： Hassan Al Wahshat Riyad Al-Rousan Wafa Abdulkarem Al-Haithami Syarilla Iryani Ahmad Saany Fatma Susilawati Mohamad Rohit Kumar Department of Management Information System Faculty of Business Ajloun National University Ajloun Jordan Department of Virtual and Augmented Reality College of Information Technology University of Petra (UOP) Jordan Faculty of Finance and Administrative Sciences MEDIU Malaysia Faculty of Informatics and Computing UniSZA Malaysia School of Computer Science and Engineering Jain Deemed To Be University Bangalore India

The rapid growth of electronic commerce (e-commerce) has revolutionized the global business landscape, transforming the way consumers and businesses interact, purchase, and sell goods and services. However, this sector faces a myriad of challenges that impede its sustainable growth and development. This research paper critically examines the current problems encountered by the electronic commerce sector and proposes viable solutions to address these issues. The study identifies three major problem areas affecting the sector: (1) Security and Privacy Concerns, (2) Logistics and Supply Chain Bottlenecks, and (3) Customer Experience and Trust. Regarding security and privacy, the proliferation of cyber-attacks, data breaches, and identity theft has eroded consumer confidence, hindering e-commerce adoption. The paper aims to investigate the latest technologies and best practices, such as blockchain, advanced encryption techniques, and robust authentication methods, to fortify e-commerce platforms against cyber threats and safeguard user data. The second problem area, logistics and supply chain bottleneck, poses challenges related to order fulfilment, inventory management, and last-mile delivery. Through an in-depth analysis, the research proposes innovative approaches like utilizing machine learning algorithms for predictive inventory management, integrating Internet of Things (IoT) devices for real-time tracking, and exploring drone and autonomous vehicle deliveries to enhance overall logistics efficiency. The third issue addressed in this paper pertains to customer experience and trust. The inability to tangibly experience products before purchase, coupled with ambiguous return policies, often deters potential customers from engaging in e-commerce transactions. The study delves into augmented reality (AR) and virtual reality (VR) applications to simulate product experiences and advocates for transparent and customer centric return policies. This research paper sheds li

关键词：

来源：评论

学校读者我要写书评

暂无评论

Trans-DF: A Transfer Learning-based end-to-end Deepfake Detector 5

Trans-DF: A Transfer Learning-based end-to-end Deepfake Dete...

引用

5th IEEE International Conference on computing Communication and Automation, ICCCA 2020

作者： Patel, Mohil Gupta, Aaryan Tanwar, Sudeep Obaidat, M.S. Institute of Technology Nirma University Department of Computer Science and Engineering Gujarat India University of Sharjah UAE King Abdullah II School of It University of Jordan College of Computing and Informatics Jordan

ISBN: (数字)9781728163246

ISBN: (纸本)9781728163246

With the advent of information and communication technologies, there have been breakthrough developments in the field of Artificial Intelligence (AI). Moreover, increasing computation power and decreasing processing times, new applications are being developed at great speeds. One such application is Deepfakes, which tackles the increased manipulated and forged media content. But these fake images and videos hamper the security and privacy of individuals and can have large-scale religious, communal, or political implications that may prove to be catastrophic for a nation. The face swapped content at times can be identified by human observation, but with the use of Generative adversarial networks (GANs), such forged content can be developed with is hard to be identified even by humans. Hence, detecting such videos and images is a challenging task for researchers. Motivated from these gaps, in this paper, we propose a pipeline for detecting and extracting human faces from videos, process them to extract features from them, and then classify them as real or fake. The results of the proposed model achieved an accuracy of 90.2% for classifying fake images from real ones. © 2020 IEEE.

关键词： Generative adversarial networks

来源：评论

学校读者我要写书评

暂无评论

Graph Neural Network and Spatiotemporal Transformer Attention for 3D Video Object Detection from Point Clouds

arXiv

引用

arXiv 2022年

作者： Yin, Junbo Shen, Jianbing Gao, Xin Crandall, David Yang, Ruigang School of Computer Science Beijing Institute of Technology Beijing China Inception Institute of Artificial Intelligence Abu Dhabi United Arab Emirates Thuwal Saudi Arabia The School of Informatics Computing and Engineering Indiana University BloomingtonIN47408 United States The University of Kentucky LexingtonKY40507 United States

Previous works for LiDAR-based 3D object detection mainly focus on the single-frame paradigm. In this paper, we propose to detect 3D objects by exploiting temporal information in multiple frames, i.e., the point cloud videos. We empirically categorize the temporal information into short-term and long-term patterns. To encode the short-term data, we present a Grid Message Passing Network (GMPNet), which considers each grid (i.e., the grouped points) as a node and constructs a k-NN graph with the neighbor grids. To update features for a grid, GMPNet iteratively collects information from its neighbors, thus mining the motion cues in grids from nearby frames. To further aggregate the long-term frames, we propose an Attentive Spatiotemporal Transformer GRU (AST-GRU), which contains a Spatial Transformer Attention (STA) module and a Temporal Transformer Attention (TTA) module. STA and TTA enhance the vanilla GRU to focus on small objects and better align the moving objects. Our overall framework supports both online and offline video object detection in point clouds. We implement our algorithm based on prevalent anchor-based and anchor-free detectors. The evaluation results on the challenging nuScenes benchmark show the superior performance of our method, achieving the 1st on the leaderboard without any bells and whistles, by the time the paper is submitted. Copyright © 2022, The Authors. All rights reserved.

关键词： Message passing

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：