检索结果-内蒙古大学图书馆

29th International Computing and Combinatorics Conference, COCOON 2023

作者： Bailey, Lora Blake, Heather Smith Cochran, Garner Fox, Nathan Levet, Michael Mahmoud, Reem Matson, Elizabeth Bailey Singgih, Inne Stadnyk, Grace Wang, Xinyi Wiedemann, Alexander Department of Mathematics Grand Valley State University AllendaleMI United States Department of Mathematics and Computer Science Davidson College DavidsonNC United States Department of Mathematics and Computer Science Berry College Mount BerryGA United States Department of Quantitative Sciences Canisius University BuffaloNY United States Department of Computer Science College of Charleston CharlestonSC United States Department of Computer Science Virginia Commonwealth University RichmondVA United States The Division of Mathematics and Computer Science Alfred University AlfredNY United States Department of Mathematical Sciences University of Cincinnati CincinnatiOH United States Department of Mathematics Furman University GreenvilleSC United States Department of Computational Mathematics Science and Engineering Michigan State University East LansingMI United States Department of Mathematics Randolph–Macon College AshlandVA United States

ISBN: (纸本)9783031491894

In this paper, we examine the computational complexity of enumeration in certain genome rearrangement models. We first show that the Pairwise Rearrangement problem in the Single Cut-and-Join model (Bergeron, Medvedev, & Stoye, J. Comput. Biol. 2010) is # P -complete under polynomial-time Turing reductions. Next, we show that in the Single Cut or Join model (Feijao & Meidanis, IEEE ACM Trans. Comp. Biol. Bioinf. 2011), the problem of enumerating all medians (#MEDIAN ) is logspace-computable (FL ), improving upon the previous polynomial-time (FP ) bound of Miklós & Smith (RECOMB 2015). © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： Phylogenetic

来源：评论

学校读者我要写书评

暂无评论

Pelvic bone region segmentation (PBRS) from X-ray image using convolutional neural network (CNN) 26

Pelvic bone region segmentation (PBRS) from X-ray image usin...

引用

26th International Conference on computer and Information Technology, ICCIT 2023

作者： Ul Alam, Syed Alif Binte Alam, Saadia Saha, Sourav Haque, Mahmudul Rahman, Rashedur Kobashi, Syoji Independent University Bangladesh Department of Computer Science and Engineering Dhaka1229 Bangladesh Independent University Bangladesh Center for Computational & Data Sciences Dhaka1229 Bangladesh University of Hyogo Graduate School of Engineering Shosha Hyogo Himeji2167 Japan

ISBN: (纸本)9798350359015

Pelvic and hip fractures offer considerable public health risks with high morbidity and mortality rates. Because of the complicated bone structure of the pelvic bone region, detecting fractures is difficult. Though X-ray imaging is routinely utilised for detecting fractures, manual fracture diagnosis is prone to inaccuracies. This paper proposes the use of deep learning algorithms for automated segmentation of the pelvic bone region in X-ray images. In our work, we have investigated U-Net based pelvic area segmentation models with various convolutional neural network (CNN) backbones. The DenseNet121-based U-Net design emerged as the most optimal model, establishing a compromise between performance and computational efficiency. Although it had a modest loss in IoU and F1 scores when compared to InceptionNetV3, it had a remarkable 59.44% reduction in the number of parameters. © 2023 IEEE.

关键词： deep learning pelvic bone segmentation x-ray

来源：评论

学校读者我要写书评

暂无评论

Enhancing IoT Network Capabilities through Edge Computing Strategies for Real-Time Data Analytics and Efficient Information Processing 10

Enhancing IoT Network Capabilities through Edge Computing St...

引用

10th International Conference on Communication and Signal Processing, ICCSP 2024

作者： Tamilselvan, S. Babu, M. Rajasekar, P. Kalaiselvi, K. Shanmugam, Raju Kadumbadi, Vijayakumar Simats Saveetha University Saveetha School of Engineering Department of Computer Science and Engineering Tamil Nadu Chennai India Rajalakshmi Engineering Çollege Thandalam Department of Information Technology Chennai India Sri Krishna College of Technology Department of ECE Coimbatore Tamil Nadu Kovaipudur India Hindusthan College of Engineering and Technology Department of Electronics and Communication Engineering Tamil Nadu Coimbatore India Karnavati University Unitedworld School of Computational Intelligence Gujarat India Adhiparasakthi Engineering College Department of Technology Tamil Nadu Melmaruvathur India

ISBN: (纸本)9798350353068

The IoT devices proliferation speed has engendered a necessity for data processing and analytics capabilities as advanced as IoT networks are to take full advantage of the IoT networks capacity. The paradigm of edge computing has been developed as a very useful tool to meet this challenge by providing fast data analysis, storing data and quick response to problems at the point of data generation from network end points. In this study, we present a practical approach to iot-networks sure competence through the edge computing strategies implementation. The process starts with requirement analysis, continues with edge node selection, preprocessing of data, distributed data analytics, dynamic resource allocation, security and privacy measures, fault tolerance and lastly, it is integrated with the cloud services. Moreover, it provides performance evaluation and eventually, commissioned for the production. The specific way of systematic optimization is in place that will allow the productivity to be enhanced, the response time to be minimized, the security and privacy strengthened and the connectivity with the cloud to be scalable and that which can ensure reliable IoT deployments. In the light of our study, we argue edge node selection criteria, data preprocessing efficiency, dynamic resource allocation performance, and the effectiveness of security and privacy measures in computing environments should be the focus of the research. The results thus validate the usefulness of the suggested approach in lifting up the capacity of the IoT networks via edge computing approaches, which in turn will be tremendously instrumental in opening breeding ground for innovation of IoT synchronized applications and services. © 2024 IEEE.

关键词： Edge computing

来源：评论

学校读者我要写书评

暂无评论

Convergent Approaches to AI Explainability for HEP Muonic Particles Pattern Recognition

引用

Computing and Software for Big science 2023年第1期7卷 1-18页

作者： Maglianella, Leandro Nicoletti, Lorenzo Giagu, Stefano Napoli, Christian Scardapane, Simone Department of Computer Control and Management Engineering Antonio Ruberti Sapienza University of Rome Rome Italy Department of Physics Sapienza University of Rome Rome Italy Institute for Systems Analysis and Computer Science Italian National Research Council Rome Italy Department of Computational Intelligence Electronics and Telecommunications Czestochowa University of Technology Czestochowa Poland Department of Information Engineering Electronics and Telecommunications Sapienza University of Rome Rome Italy

Neural networks are commonly defined as ‘black-box’ models, meaning that the mechanism describing how they give predictions and perform decisions is not immediately clear or even understandable by humans. Therefore, Explainable Artificial Intelligence (xAI) aims at overcoming such limitation by providing explanations to Machine Learning (ML) algorithms and, consequently, making their outcomes reliable for users. However, different xAI methods may provide different explanations, both from a quantitative and a qualitative point of view, and the heterogeneity of approaches makes it difficult for a domain expert to select and interpret their result. In this work, we consider this issue in the context of a high-energy physics (HEP) use-case concerning muonic motion. In particular, we explored an array of xAI methods based on different approaches, and we tested their capabilities in our use-case. As a result, we obtained an array of potentially easy-to-understand and human-readable explanations of models’ predictions, and for each of them we describe strengths and drawbacks in this particular scenario, providing an interesting atlas on the convergent application of multiple xAI algorithms in a realistic context. © 2023, The Author(s).

关键词： Explainable Artificial Intelligence High-energy physics Intrinsically interpretable Decision Trees Saliency maps methods Tracing gradient descent

来源：评论

学校读者我要写书评

暂无评论

Design and Development of S-Shaped Antenna for Wireless Networks 7

Design and Development of S-Shaped Antenna for Wireless Netw...

引用

7th International Conference on Electronics, Communication and Aerospace Technology, ICECA 2023

作者： Vanitha, V. Kishor Kumar, P. Sreenivasulu, Y. Rawat, Ruchira Ramesh, S. Kumar, Jogendra Tamil Nadu Chennai603104 India Ravindra College of Engineering for Women Department of Electronics and Communications Engineering Andhra Pradesh Kurnool518452 India Sreenidhi Institute of Science and Technology Department of Electronics and Communications Engineering Telangana Hyderabad501301 India Graphic Era Deemed to Be University Department of Computer Science and Engineering Uttarakhand Dehradun248002 India Institute of Artificial Intelligence and Machine Learning Saveetha University Department of Computational Intelligence Tamil Nadu Chennai602105 India KoneruLakshmaiah Education Foundation Department of Computer Science and Engineering Andhra Pradesh Vaddeswaram522302 India

ISBN: (纸本)9798350340600

In this study, a linear array of S-shaped Microstrip patch antennas is created and examined. IE3D V15.2 software was used to design, study, and simulate the antenna. The ground plane is 40x70 mm, and the patch is 30x60 mm, we'll say. In only one band, the bandwidth has increased. Gain at 2.43271 GHz is 3.68152 dBi, whereas bandwidth at 1.8744 GHz is 63.05 percent. Substratum thickness of 1.6 mm, dielectric constant of 4.2, and loss tangent of 0.0013 are taken into account in this computation. This antenna is mostly used in wireless systems. © 2023 IEEE.

关键词： Wireless networks

来源：评论

学校读者我要写书评

暂无评论

Multi-Armed Bandit-Aided Near-Optimal Over-The-Air Updates in Multi-Band V2X Systems 5

Multi-Armed Bandit-Aided Near-Optimal Over-The-Air Updates i...

引用

5th International Conference on computer Communication and the Internet, ICCCI 2023

作者： Hashima, Sherief Fouda, Mostafa M. Hatano, Kohei Takimoto, Eiji Fadlullah, Zubair Md Computational Learning Theory Team RIKEN-AIP Fukuoka Japan Idaho State University Department of Electrical and Computer Engineering PocatelloID United States Idaho FallsID United States Kyushu University Department of Informatics Fukuoka Japan Western University Department of Computer Science LondonON Canada

ISBN: (纸本)9798350326956

As autonomous and connected vehicles continue to garner much research attention, the automotive Over-The-Air (OTA) updates recently emerged as an important research topic. OTA is crucial to disseminate critical updates for safety and stability of on-board sensing and operational systems. In beyond 5G(BSG) systems, OTA may be regarded as cached and a service provided by cellular base stations and roadside units (RSUs). However, for large-size OTA dissemination, the Electronic Control Units (ECUs) of vehicles need to download scheduled segments of the OTA payload from the serving RSU in an opportunistic manner, i.e., while stopping at the traffic signal or waiting in traffic. To maximize the downloadable payload per vehicle served by a RSU within a limited time window, we consider multi-band RSUs and ECUs as transmitting and receiving nodes, respectively. We consider legacy RF (radio frequency), mmWave (millimeter Wave), and visible light communication (VLC) bands at the RSU to provide large capacity links to the ECUs, respectively. However, the sub-channels of these frequency bands suffer from different blockage characteristics. We formulate this as a tradeoff problem in this paper in the presence of vehicular blockers, and propose a Thompson Sampling (TS)-based opportunistic band selection to alleviate the computational burden on both the communicating RSU and ECU nodes. Based on extensive computer-based simulations, we demonstrate the performance of our proposal in contrast with an optimal (centralized) baseline, as well as other comparable heuristic-based solutions. © 2023 IEEE.

关键词： Vehicles

来源：评论

学校读者我要写书评

暂无评论

Ultrastable supported oxygen evolution electrocatalyst formed by ripening-induced embedding

引用

science (New York, N.Y.) 2025年第6735期387卷 791-796页

作者： Shi, Wenjuan Shen, Tonghao Xing, Chengkun Sun, Kai Yan, Qisheng Niu, Wenzhe Yang, Xiao Li, Jingjing Wei, Chenyang Wang, Ruijie Fu, Shuqing Yang, Yong Xue, Liangyao Chen, Junfeng Cui, Shiwen Hu, Xiaoyue Xie, Ke Xu, Xin Duan, Sai Xu, Yifei Zhang, Bo State Key Laboratory of Molecular Engineering of Polymers Department of Macromolecular Science Fudan University Shanghai China Collaborative Innovation Center of Chemistry for Energy Materials Shanghai Key Laboratory of Molecular Catalysis and Innovative Materials MOE Key Laboratory of Computational Physical Sciences Department of Chemistry Fudan University Shanghai China Department of Chemistry and Department of Electrical and Computer Engineering Northwestern University Evanston IL United States Hefei National Laboratory Hefei China

The future deployment of terawatt-scale proton exchange membrane water electrolyzer (PEMWE) technology necessitates development of an efficient oxygen evolution catalyst with low cost and long lifetime. Currently, the stability of the most active iridium (Ir) catalysts is impaired by dissolution, redeposition, detachment, and agglomeration of Ir species. Here we present a ripening-induced embedding strategy that securely embeds the Ir catalyst in a cerium oxide support. Cryogenic electron tomography and all-atom kinetic Monte Carlo simulations reveal that synchronizing the growth rate of the support with the nucleation rate of Ir, regulated by sonication, is pivotal for successful synthesis. A PEMWE using this catalyst achieves a cell voltage of 1.72 volts at a current density of 3 amperes per square centimeter with an Ir loading of just 0.3 milligrams per square centimeter and a voltage degradation rate of 1.33 microvolts per hour, as demonstrated by a 6000-hour accelerated aging test.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Enhancement of Co-located Shared VR Experiences: Representing Non-HMD Observers on Both HMD and 2D Screens 23

Enhancement of Co-located Shared VR Experiences: Representin...

引用

23rd IEEE International Symposium on Mixed and Augmented Reality, ISMAR 2024

作者： Guo, Zixuan Xu, Wenge Wang, Hongyu Wan, Tingjie Baghaei, Nilufar Lo, Cheng-Hung Liang, Hai-Ning Xi'an Jiaotong-Liverpool University School of Advanced Technology Suzhou China The University of Liverpool Department of Computer Science Liverpool United Kingdom Birmingham City University College of Computing Birmingham United Kingdom The University of Queensland School of Electrical Engineering and Computer Science Brisbane Australia Xi'an Jiaotong-Liverpool University Department of Industrial Design Suzhou China Computational Media and Arts Thrust Guangzhou China

ISBN: (纸本)9798331516475

Virtual reality (VR) not only allows head-mounted display (HMD) users to immerse themselves in virtual worlds but also to share them with others. When designed correctly, this shared experience can be enjoyable. However, in typical scenarios, HMD users are isolated by their devices, and non-HMD observers lack connection with the virtual world. To address this, our research investigates visually representing observers on both HMD and 2D screens to enhance shared experiences. The study, including five representation conditions, reveals that incorporating observer representation positively impacts both HMD users and observers. For how to design and represent them, our work shows that HMD users prefer methods displaying real-world visuals, while observers exhibit diverse preferences regarding being represented with real or virtual images. We provide design guidelines tailored to both displays, offering valuable insights to enhance co-located shared VR experiences for HMD users and non-HMD observers. © 2024 IEEE.

关键词： Virtual environments

来源：评论

学校读者我要写书评

暂无评论

Towards producing a ground-truth dataset of safety bugs in the Linux Kernel 22

Towards producing a ground-truth dataset of safety bugs in t...

引用

22nd Belgium-Netherlands Software Evolution Workshop, BENEVOL 2023

作者： Maes-Bermejo, Michel Robles, Gregorio Gonzalez-Barahona, Jesus M. Gallego, Micael Izquierdo-Cortazar, Daniel Sherwood, Paul Department of Computer Science Universidad Rey Juan Carlos Spain Department of Telematic and Computational Systems Engineering Universidad Rey Juan Carlos Spain Bitergia S.L. Madrid Spain Codethink Ltd. United Kingdom

The automotive industry is interested in certifying free/open source components with the ISO 26262 standard, which is a risk-based standard that addresses the damage that may be caused to the electronic and electrical (E/E) systems of vehicles in the event of failures. We hypothesize that the techniques, processes, and controls developed by widely used open source projects, such as the Linux Kernel, are successful in catching and avoiding bugs that are considered to be critical in safety standards. We want to test our hypothesis by analyzing historic records of bugs found in production releases of the Linux Kernel. Therefore, we first aim to create a ground-truth dataset of safety bugs in the Linux Kernel and characterize them. So, we have conducted a preliminary study to identify, manually locate and extract the most relevant information from the last 100 Bug-Fixing Commits (BFC) in the most recent commits of the Linux Kernel repository. We have found, among others, that out of the 100 BFCs, 80 have a link to the Bug-Introduction Commit (BIC);most errors are in the "drivers" module, and we were able to confirm 9 regressions. The next step in this research is to classify the bugs to detect and correctly classify those that are safety-related. As the classification is difficult to perform and requires specialized knowledge of the Linux Kernel development, we plan to get help from Linux Kernel developers to validate our identification and to manually classify the bugs in one of the defined categories. © 2023 Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).

关键词： Automotive industry

来源：评论

学校读者我要写书评

暂无评论

Transforming Medical Research with Immersive 3D Visualization and Augmented Reality for Cancer and Beyond

Transforming Medical Research with Immersive 3D Visualizatio...

引用

Emerging Technologies and Innovation for Sustainability (EmergIN), International Conference on

作者： P. Nandhini Kaviyaraj R B. Seetha Lakshimi K Ayyappan Saravanan Obuli Department of Computer Science and Engineering Sri Shanmugha College of Engineering and Technology Salem India Department of Computational Intelligence SRM Institute of Science and Technology Kattankulathur India AI & DS Sri Shanmugha College of Engineering and Technology Salem India Department of Computer Science and Engineering Loyala Institute of Technology Chennai India Department of Computer Science and Engineering Annapoorna Engineering College Salem India

ISBN: (数字)9798350391268

ISBN: (纸本)9798350391275

To address complexity of cancer progression, we propose a novel approach using 3D data visualization with brain tumors, the leading cause of cancer related death in both children and adults worldwide. Standard methods for studying cancer development produce incomplete or oversimplified models that can't capture the complex dynamics of tumor cells. In contrast, advanced data science and a new generation of 3D visualization technologies simultaneously bring about the opportunity to explore the dynamical landscape of tumorous cells. With 3D visualization tools we create high level illustrations that go beyond basic renderings and deliver more sophisticated, actionable insights that take advantage of analysis of advanced data analytics and feature analysis at the cluster and genomic level. A new methodology is introduced in this paper, based the use of the Unity game development platform, that enables transitions smoothly from 2D to 3D to better describe the various stages of cancer progression. Furthermore, we propose an innovative way for the reconstruction of 3D models right in Unity using the AR platforms such as the specialized augmented reality AR SDK toolkit Vuforia. Not only does our approach extend current understanding of brain tumor dynamics, but more importantly, gives a flexible framework to see tumor behaviour with real time visualization that could substantially change therapeutic development. Ultimately, this work can serve as a stepping stone for such integration of immersive visualization techniques into clinical practice and to ultimately facilitate more effective, personalized treatments and precision medicine approaches.

关键词： Three-dimensional displays Data visualization Brain tumors Surgery Medical services Brain modeling Planning Augmented reality Standards Cancer

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：