检索结果-内蒙古大学图书馆

10th International Conference on Wireless Networks and Mobile Communications, WINCOM 2023

作者： Bouras, Christos Diasakos, Damianos Gkamas, Apostolos Kokkinos, Vasileios Pouyioutas, Philippos Prodromos, Nikolaos University of Patras Computer Engineering and Informatics Department Greece University Ecclesiastical Academy of Athens Greece University of Nicosia Computer Science Department Cyprus

ISBN: (纸本)9798350329674

Massive MIMO (Multiple Input Multiple Output) is a fundamental technique for improving the efficiency of 5G wireless networks. At the base station, it calls for the use of numerous antennas - usually in the dozens or even hundreds. In addition to better coverage and less interference, this enables a large increase in the amount of data that can be delivered and received simultaneously. By enabling more precise signal transmission and reception, Massive MIMO can also result in significant energy savings. The use of optimization techniques can further improve the performance of 5G networks. The aim of this paper is to investigate a signal quality optimization technique for MIMO in which users are allocated to antennas according to different algorithms. For our research, the DeepMIMO simulator produced a dataset that sets up all necessary parameters. In our study, we examine different techniques for user allocation in 5G MIMO Networks. We conclude that transforming the problem of user allocation to a linear assignment problem in order to find the most efficient connection between the users and the base stations is one of the best ways to optimize user allocation. © 2023 IEEE.

关键词： 5G mobile communication systems

来源：评论

学校读者我要写书评

暂无评论

Failure-Tolerant Synchronous and Self-Timed Circuits Comparison

引用

Russian Microelectronics 2022年第8期51卷 630-632页

作者： Zatsarinny, A.A. Stepchenkov, Yu. A. Diachenko, Yu. G. Rogdestvenski, Yu. V. Institute of Informatics Problems Federal Research Center "Computer Science and Control" of Russian Academy of Sciences Moscow119333 Russia

Abstract: The article considers the problem of developing synchronous and self-timed (ST) digital circuits tolerant to soft errors. Synchronous circuits traditionally use the "2-of-3" voting principle to ensure a single failure, resulting in three times the hardware costs. Due to dual-rail signal coding and two-phase control in ST circuits, duplication provides a soft error tolerance level 2.1 to 3.5 times higher than the triple modular redundant synchronous counterpart. The development of new high-precision software simulating microelectronic failure mechanisms will provide more accurate estimates for the electronic circuits’ failure tolerance. © 2022, Pleiades Publishing, Ltd.

关键词： Timing circuits

来源：评论

学校读者我要写书评

暂无评论

Expeditious detection and segmentation of bone mass variation in DEXA images using the hybrid GLCM-AlexNet approach

引用

Soft Computing 2024年第19期28卷 11633-11646页

作者： Amiya, Gautam Murugan, Pallikonda Rajasekaran Ramaraj, Kottaimalai Govindaraj, Vishnuvarthanan Vasudevan, Muneeswaran Thirumurugan, M. Zhang, Yu-Dong Abdullah, S. Sheik Thiyagarajan, Arunprasath Department of Computer Science and Engineering Kalasalingam Academy of Research and Education Krishnankoil Tamilnadu India Department of Electronics and Communication Engineering Kalasalingam Academy of Research and Education Krishnankoil Tamilnadu India Data Science Division School of Computer Science and Engineering VIT Bhopal University Madhya Pradesh Bhopal India Consultant Orthopaedic Surgeon MGR Medical University Tamilnadu Chennai India School of Informatics University of Leicester LeicesterLE1 7RH United Kingdom

Osteoporosis (OP) is an osteometabolic disorder characterized by a lesser bone mineral density (BMD) and the disruption of bone tissue micro—architecture, resulting in a greater bone fragility and higher likelihoods of fractures. OP emerges once the bone mass declines faster than the body's capacity to replenish it, leading to a significant reduction in the strength of bone. OP impacts each and every bone throughout the body and provides no clinical signs until a fracture happens. Aging leads to the reduction in BMD, and the rate of percentage of fractures rises over time, usually causing mortality and morbidity. Numerous BMD evaluation methods are available, and they are used in a variety of settings by considering the location of the fracture. Dual-energy x-ray absorptiometry (DEXA/DXA) is recognized as the gold standard for predicting the fracture, since it is the most advanced, technologically affirmed, and also has excellent performance. According to the findings, most researchers do not endeavour the identification and the segmentation of low bone masses from DEXA images. Medical image segmentation supports in analyzing and visualizing the bone's low bone mass. The envisaged hybrid approach, that integrates GLCM for feature extraction and AlexNet for a low bone mass variation classification, provides segmented images that assist in categorizing bone health as normal, osteopenia, or osteoporosis. The developed algorithm's performance metrics, including Dice Co-efficient, Sensitivity, and Specificity, were 92.35, 90.26, and 92.42%, respectively. The Orthopedicians ascertained the efficacy of the outcomes rendered by the proposed algorithm. © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2024.

关键词： Fracture

来源：评论

学校读者我要写书评

暂无评论

A Multi-Action Deep Reinforcement Learning Based on BiLSTM for Flexible Job Shop Scheduling Problem with Tight Time 24

A Multi-Action Deep Reinforcement Learning Based on BiLSTM f...

引用

8th International Conference on computer science and Artificial Intelligence, CSAI 2024

作者： Wang, Rui Liu, Chang Wang, Xinzhuo Yang, Shengxiang Hou, Yaqi Shenyang Institute of Automation Chinese Academy of Science LiaoNing ShenYang China School of Computer Science and Informatics DeMontfort University Leiceste United Kingdom Shuanghui Meat Processing Limited LiaoNing Fuxin China

ISBN: (纸本)9798400718182

The Flexible Job Shop Scheduling Problem (FJSP) with tight time is a significant challenge in both academic and industrial fields of production scheduling. This paper addresses the FJSP with tight time using a Multi-action Deep Reinforcement Learning (MDRL) method. First, a multi-action Markov Decision Process (MDP) is formulated, integrating operation and machine sets into a unified multi-action space. Then, a scheduling policy is developed using a Bi-Directional Long Short-Term Memory Network (BiLSTM) to extract intrinsic scheduling information. Finally, Proximal Policy Optimization (PPO) enhanced with reward shaping is employed to train the model, enabling intelligent decision-making in action selections. Extensive experiments are conducted on four problem instances of varying scales. Comparisons among 20 priority dispatch rules and two closely rated DRL methods demonstrate the superior performance of the proposed MDRL approach. © 2024 Copyright held by the owner/author(s).

关键词： Deep reinforcement learning

来源：评论

学校读者我要写书评

暂无评论

The Limit Distribution of the Queue Length in a Priority System with Autoregressive Arrivals Under the Heavy Traffic Condition 22nd

The Limit Distribution of the Queue Length in a Priority Sys...

引用

22nd International Conference on Information Technologies and Mathematical Modelling, ITMM 2023 and 14th International Workshop on Retrial Queues and Related Topics, WRQ 2023

作者： Bergovin, Alexey Ushakov, Vladimir Lomonosov Moscow State University Moscow Russia The Institute of Informatics Problems of the Federal Research Center "Computer Science and Control" of the Russian Academy of Sciences Moscow Russia

ISBN: (纸本)9783031653841

In this paper a one-line queueing system with two priority classes, relative priority, Poissonian input flow with random intensity and infinite number of places in queue for waiting is considered. The current intensity value is taken at the beginning of the time reckoned for the arrival of the next requirement. Successive values of the flow intensity form a Markov chain of a special kind. This input flow structure allows to take in consideration not only mathematical expectation and variance, but also correlation between interval of two next arrivals. The main result is the limit distribution of the queue length for the least priority class, it is obtained in an explicit form. Also, analytical expressions for the density function, mathematical expectation and variance are given. Numerical examples, which show difference among limit distributions (for different parameters) for studied cases are provided. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： Markov chains

来源：评论

学校读者我要写书评

暂无评论

Probing Large Language Models from A Human Behavioral Perspective 1

Probing Large Language Models from A Human Behavioral Perspe...

引用

1st Workshop on Bridging Neurons and Symbols for Natural Language Processing and Knowledge Graphs Reasoning, NeusymBridge 2024

作者： Wang, Xintong Li, Xiaoyu Li, Xingshan Biemann, Chris Department of Informatics Universität Hamburg Germany School of Computer Science and Technology Beijing Institute of Technology China Institute of Psychology Chinese Academy of Sciences China

ISBN: (纸本)9782493814128

Large Language Models (LLMs) have emerged as dominant foundational models in modern NLP. However, the understanding of their prediction processes and internal mechanisms, such as feed-forward networks (FFN) and multi-head self-attention (MHSA), remains largely unexplored. In this work, we probe LLMs from a human behavioral perspective, correlating values from LLMs with eye-tracking measures, which are widely recognized as meaningful indicators of human reading patterns. Our findings reveal that LLMs exhibit a similar prediction pattern with humans but distinct from that of Shallow Language Models (SLMs). Moreover, with the escalation of LLM layers from the middle layers, the correlation coefficients also increase in FFN and MHSA, indicating that the logits within FFN increasingly encapsulate word semantics suitable for predicting tokens from the vocabulary. © 2024 ELRA Language Resource Association.

关键词： Eye tracking

来源：评论

学校读者我要写书评

暂无评论

On Approximation of the Time-Probabilistic Measures of a Resource Loss System with the Waiting Buffer 25th

On Approximation of the Time-Probabilistic Measures of a...

引用

25th International Conference on Distributed computer and Communication Networks, DCCN 2022

作者： Daraseliya, A.V. Sopin, E.S. Shorgin, S. Ya. Moscow Russia Institute of Informatics Problems Federal Research Center Computer Science and Control of Russian Academy of Sciences Moscow Russia

ISBN: (纸本)9783031306471

In this paper we consider a multi-server model in terms of a resource loss system with the waiting buffer and the multi-type of resources. A customer accepted for servicing occupies a random amount of resources with described distribution functions. Based on the assumptions of a Poisson arrival process and exponential service times, we analytically find the system of equilibrium equations. We proposed an approximation of the model with the single type of resources. We analytically find the system of equilibrium equations, solving which we get the stationary probabilities for the simpler model. For various probability distributions, we evaluated metrics of interest such as the loss probability of the system, the average waiting time, the average number of customers, and the average resource requirements of blocked customers. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Distribution functions

来源：评论

学校读者我要写书评

暂无评论

On the Optimization of User Allocation in Heterogeneous 5G Networks Using DUDe Techniques 14

On the Optimization of User Allocation in Heterogeneous 5G N...

引用

14th International Conference on Ubiquitous and Future Networks, ICUFN 2023

作者： Tsachrelias, Konstantinos Gkamas, Apostolos Katsigiannis, Chrysostomos-Athanasios Bouras, Christos Kokkinos, Vasileios Pouyioutas, Philippos University of Patras Computer Engineering and Informatics Department Patras Greece University Ecclesiastical Academy of Athens Athens Greece University of Nicosia Computer Science Department Nicosia Cyprus

ISBN: (纸本)9798350335385

In previous years, 3G and 4G cellular homogeneous networks configured with macro Base Stations (BSs) relied only on the downlink signal, even though transmission power and interference levels differ significantly between uplink and downlink. In 5G Heterogeneous Networks (HetNet), a new generation which have multiple BSs of different types such as Femto BS and Macro BS, there is the possibility of choosing to receive the data from one BS and transmit them to a different BS, and therefore decoupling the uplink and downlink. Especially, the increasing demand for faster, more reliable, and efficient connectivity has made the optimization of User Equipment (UE) allocation in 5G networks a crucial task. To tackle the challenges posed by heterogeneous 5G networks, this study compares and evaluates the performance of Downlink/Uplink Decoupling (DUDe) and traditional Downlink/Uplink Coupled (DUCo) user allocation approaches. Simulation results show that DUDe UE allocation outperforms DUCo by providing improved network performance and more efficient utilization of network resources in diverse network conditions. These findings have important implications for the design and optimization of 5G networks and provide valuable insights for researchers and practitioners in the field. © 2023 IEEE.

关键词： 5G mobile communication systems

来源：评论

学校读者我要写书评

暂无评论

3D Object Reconstruction with Deep Learning 13th

3D Object Reconstruction with Deep Learning

引用

13th IFIP TC 12 International Conference on Intelligent Information Processing, IIP 2024

作者： Aremu, Stephen S. Taherkhani, Aboozar Liu, Chang Yang, Shengxiang School of Computer Science and Informatics De Montfort University Leicester United Kingdom Digital Factory Department Shenyang Institute of Automation Chinese Academy of Sciences Shenyang110016 China

ISBN: (纸本)9783031579189

Recent advancements and breakthroughs in deep learning have accelerated the rapid development in the field of computer vision. Having recorded a huge success in 2D object perception and detection, a lot of progress has also been made in 3D object reconstruction. Since humans can infer and relate better with 3D world images by just a single view 2D image of the object, it is necessary to train computers to think in 3D to achieve some key applications of computer vision. The use of deep learning in 3D object reconstruction of single-view images is rapidly evolving and recording significant results. In this research, we explore the Facebook well-known hybrid approach called Mesh R-CNN that combines voxel generation and triangular mesh reconstruction to generate 3D mesh structure of an object from a 2D single-view image. Although the reconstruction of objects with varying geometry and topology was achieved by Mesh R-CNN, the mesh quality was affected due to topological errors like self-intersection, causing non-smooth and rough mesh generation. In this research, Mesh R-CNN with Laplacian Smoothing (Mesh R-CNN-LS) was proposed to use the Laplacian smoothing and regularization algorithm to refine the non-smooth and rough mesh. The proposed Mesh R-CNN-LS helps to constrain the triangular deformation and generate a better and smoother 3D mesh. The proposed Mesh R-CNN-LS was compared with the original Mesh R-CNN on the Pix3D dataset and it showed better performance in terms of the loss and average precision score. © IFIP International Federation for Information Processing 2024.

关键词： computer vision

来源：评论

学校读者我要写书评

暂无评论

Systematization and Synchronization of Target Processes in Organizational Systems

Systematization and Synchronization of Target Processes in O...

引用

2023 Systems of Signal Synchronization, Generating and Processing in Telecommunications, SYNCHROINFO 2023

作者： Kozlov, S.V. Kubankov, A.N. Federal Research Center 'Computer Science and Control' Russian Academy of Sciences Moscow Russia Moscow Technical University of Communications and Informatics Moscow Russia

ISBN: (纸本)9798350348316

The problem of synchronization of heterogeneous processes in organizational systems is considered against the background of the transition of systems from a tectocentric to a holistic paradigm of their development. The process basis for the presentation of organizational systems in the conditions of 'blurring' of their boundaries, taking into account the transition to a holistic paradigm, becomes a new basis for the development of organizational, system-technical and technological solutions for the creation and development of the material basis of organizational systems. The role and place of the process system in substantiating the directions of implementation of the strategy for the development of organizational systems and determining the overall structure of the material and technical basis of organizational systems is shown. The systematization and classification of heterogeneous processes in the life cycle of organizational systems is presented, the subject and objects of synchronization, the necessary and sufficient conditions for its implementation in organizational systems are determined. It is shown that synchronization at the process level in organizational systems should be carried out at the level of such attributes of related processes as outputs and inputs of processes, control actions and the necessary resources for the implementation of processes. © 2023 IEEE.

关键词： Synchronization

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：