检索结果-内蒙古大学图书馆

Key performance indicators analysis for 4 G-LTE cellular networks based on real measurements

International Journal of information technology (Singapore) 2023年第3期15卷 1347-1355页

作者： Shakir, Zaenab Mjhool, Ahmed Yaseen Al-Thaedan, Abbas Al-Sabbagh, Ali Alsabah, Ruaa Al-Muthanna University Samawah Iraq Information Technology Research and Development Center (ITRDC) University of Kufa Najaf Iraq Computer Technology Engineering Department Al-Taff University College Kerbala Iraq Ministry of Communication ITPC Kerbala Iraq Information Technology Department College of Information Technology and Computer Sciences University of Kerbala Kerbala Iraq

Key Performance Indicator (KPI) gives potential information that needs for successful network deploying, performance study, and enhanced networks. But, insufficient KPI data may prevent effective network design, which would increase operating costs and have a negative impact on network users. As known, Iraq launched the 4 G-LTE license very recently. Therefore, this work demonstrates Long Term-Evolution (LTE) data measurements and performance analysis of the KPI at the 2100MHz frequency band via a bandwidth of 20MHz for three mobile operators in Iraq, including Najaf city called (OP1, OP2, and OP3) for data confidentiality. Data collection is done by drive tests, from routes to characterize the cellular network. The data measurements have been focused on the parameters that affect the network directly, such as Reference Signal Received Power (RSRP), Reference Signal Received Quality (RSRQ), Signal to Interference and noise Ratio (SINR), Received Signal Strength Indicator (RSSI), and Downlink Throughput (DL Throughput). Studying the analysis behavior of these parameters and the probability distribution function (PDF) for the KPIs demonstrates the relationship and dependency among these parameters for the three mentioned operators. Finally, these KPIs provide useful information for network management, assessment, and suitable requirements for Cellular network operators for voice and data services. © 2023, The Author(s), under exclusive licence to Bharati Vidyapeeth's Institute of Computer Applications and Management.

关键词： Cellular network Drive test KPI LTE

来源：评论

学校读者我要写书评

暂无评论

Mesoporous polymers:soft-template self-assembly synthesis and applications

引用

Science China Chemistry 2024年第5期67卷 1442-1464页

作者： Facai Wei Tingting Zhang Jianwei Fu Chengbin Jing Jiangong Cheng Shaohua Liu State Key Laboratory of Precision Spectroscopy Engineering Research Center of Nanophotonics&Advanced Instrument(Ministry of Education)School of Physics and Electronic ScienceEast China Normal UniversityShanghai 200241China School of Materials Science and Engineering Zhengzhou UniversityZhengzhou 450052China State Key Lab of Transducer Technology Shanghai Institute of Microsystem and Information TechnologyChinese Academy of SciencesShanghai 200050China

Mesoporous polymers combine the advantages of polymer materials(abundant polar functional groups,lightweight,flexibility,and processability)and mesoporous structures(high specific surface area,adjustable pore structure,and large pore volume);hence,they have great application potential in sensing,adsorption,catalysis,energy storage,biomedicine,***,developing advanced synthetic strategies for mesoporous polymers and investigating their intrinsic applications have become hot research ***-template-based self-assembly is regarded as a promising approach for synthesizing mesoporous *** work reviews recent progress in the synthetic strategy for producing various mesoporous polymers using soft-template selfassembly,focusing on the synthesis of conductive polymers,phenol-based polymers,and resin-based polymers and their potential ***,perspectives on future applications of mesoporous polymers,along with a few challenges that need to be resolved,are also discussed in this review.

关键词： mesoporous polymer porous material self-assembly soft templates interface synthesis

来源：评论

学校读者我要写书评

暂无评论

Anti-resonant hollow-core optical fiber as a Fabry-Pérot interferometric high-performance cavity-enhanced photoacoustic sensing 4

Anti-resonant hollow-core optical fiber as a Fabry-Pérot in...

引用

4th International Computational Imaging Conference, CITA 2024

作者： Zhang, Ziyu Peng, Jiajun Lai, Yongli University of Central Lancashire Lancashire Preston United Kingdom School of Information and Electronics Beijing Institute of Technology Beijing100081 China National Engineering Research Center of Next Generation Internet Access System School of Optical and Electronic Information Huazhong University of Science and Technology Wuhan430074 China

ISBN: (纸本)9781510688834

This paper reports for the first time a highly sensitive cavity-enhanced photoacoustic sensor constructed based on anti-resonant hollow-core fibre (AR-HCF) with acousto-optic transducer thin film, which shows great potential in photoacoustic sensing applications. In this design, the structure improves the reflectivity of the resonance cavity by introducing a resonance cavity enhancement mechanism that extends the time to capture light with a cavity fineness of 55, increasing the acoustic pressure sensitivity of the optical resonance cavity by more than an order of magnitude. The unique features of this all-fibre optic sensing architecture are its high sensitivity, low-loss characteristics, excellent stability, and the significant advantages of the sensor in terms of size and cost. This opens up new avenues for the development of photoacoustic sensing technology. © 2025 SPIE.

关键词： Fabry-Perot interferometers

来源：评论

学校读者我要写书评

暂无评论

Integrating Motion Deblurring with Deep Learning for Real-Time Defect Detection in High-Speed Steel Production 5

Integrating Motion Deblurring with Deep Learning for Real-Ti...

引用

5th International Conference on Sensing, Measurement and Data Analytics in the Era of Artificial Intelligence, ICSMD 2024

作者： Xiao, Huaming Liu, Guangyu Hang, Shuwen Jin, Zhixuan Liang, Tao Li, Xuefeng Shanghai Yingyi Mechanical and Electrical Equipment Co. Ltd. Research and development center Shanghai China College of Electronic and Information Engineering Tongji University Shanghai China Frontiers Science Center for Intelligent Autonomous Systems Tongji University Shanghai China

ISBN: (纸本)9798331529192

In the steel manufacturing industry, the precision of surface defect detection on steel plates is a critical factor for optimizing production quality and operational efficiency. As production line speeds continue to escalate, the resultant motion blur from the rapid movement of steel plates increasingly challenges the performance of imaging systems, thereby diminishing the accuracy of defect detection. This paper presents a novel approach to real-time steel plate surface defect detection, leveraging advanced motion deblurring techniques to mitigate these challenges. Specifically, we compare the efficacy of three methodologies: the standalone YOLOv5 defect detection algorithm, YOLOv5 in conjunction with Deblur-GAN preprocessing, and the YOLO-Steel-GAN framework, which seamlessly integrates Deblur-GAN with YOLOv5. Experimental evaluations reveal that while YOLOv5 alone achieves a recall rate of 91.6% with a detection speed of 62 FPS, its precision is limited to 55.2% and a mean Average Precision (mAP) of 51%. The introduction of Deblur-GAN as a preprocessing step with YOLOv5 enhances precision to 63.1% and recall to 92.3%, albeit with a reduction in detection speed to 45 FPS. In contrast, the proposed YOLO-Steel-GAN framework not only sustains a competitive detection speed of 53 FPS but also significantly elevates precision to 89.3%, recall to 94.4%, and mAP to 87.9%. These results demonstrate that the YOLO-Steel-GAN framework provides a robust and efficient solution for real-time steel plate surface defect detection, offering substantial improvements in both accuracy and processing speed. The findings underscore the practical applicability of this integrated approach in high-speed industrial environments, marking a significant advancement in steel plate quality control. © 2024 IEEE.

关键词： Steelmaking

来源：评论

学校读者我要写书评

暂无评论

Data-Driven Safety-Critical Cooperative Control For Multiple-unit Trains 42

Data-Driven Safety-Critical Cooperative Control For Multiple...

引用

42nd Chinese Control Conference, CCC 2023

作者： Zhang, Tianbo Zhang, Tiyao You, Keyou Beijing National Research Center for Information Science and Technology Tsinghua University Department of Automation Beijing100084 China School of Electronic and Information Engineering Beijing Jiaotong University Beijing100044 China

ISBN: (纸本)9789887581543

Cooperative control is a fundamental problem in the automatic train operation of Multiple-unit (MU) trains. Many recent studies concentrate on multi-point longitudinal dynamics of trains to achieve asymptotic stability of cooperation. However, the latent influence on coupler safety has not been fully addressed. An unpleasant transient response of the cooperation process may accelerate coupler aging and finally lead to coupler fracture and operational safety incidents. In this paper, we designed a data-driven safety-critical control strategy for MU trains to achieve both cooperation and coupler safety. Specifically, a robust adaptive control barrier function (RaCBF) is constructed for the coupler safety of MU trains, guaranteeing the coupler length within a reasonable range for the whole process of cooperation. Moreover, set membership identification (SMI) technique is combined with the adaptive law to tackle the system parameter uncertainties and increase the flexibility of the controller. The proposed RaCBF is synthesized with a traditional feedback cooperative controller via quadratic programming (QP) to achieve coupler safety and cooperative tracking performance. Finally, simulations compared with the traditional controller demonstrate the effectiveness of the proposed controller. © 2023 Technical Committee on Control Theory, Chinese Association of Automation.

关键词： Controllers

来源：评论

学校读者我要写书评

暂无评论

Forming Diverse Structured Light Arrays with General Redefinable Neural Network 14

Forming Diverse Structured Light Arrays with General Redefin...

引用

Holography, Diffractive Optics, and Applications XIV 2024

作者： Li, Hengyang Xu, Jiaming Zhang, Huaizhi Liu, Xiaolong Qin, Yingxiong School of Optical and Electronic Information Wuhan National Laboratory for Optoelectronics Huazhong University of Science and Technology Optics Valley Laboratory National Engineering Research Center for Laser Processing Wuhan430074 China

ISBN: (纸本)9781510682085

We propose a redefinable neural network (RediNet), realizing general modulation on diverse structured light arrays through a single approach. Exploiting the information sparsity of the array distribution, a redefinable dimension designation is used in RediNet, removing the burden of processing pixel-wise distributions. The prowess of originally generating arbitraryresolution holographs with fixed network is firstly demonstrated. The versatility is showcased in the generation of 2D/3D foci arrays, Bessel and Airy beams arrays, (perfect) vortex beam arrays, multi-channel compound vortex arrays and even snowflake-intensity arrays with arbitrarily-built phase functions. Considering the fine resolution, high speed, and unprecedented universality, RediNet can serve extensive applications such as next-generation optical communication, parallel laser direct writing, optical traps, and so on. © 2024 SPIE. All rights reserved.

关键词： Computer generated holography

来源：评论

学校读者我要写书评

暂无评论

Some recent advances in remote sensing-based monitoring of changes in the Greenland Ice Sheet

引用

Advances in Polar Science 2024年第2期35卷 275-280页

作者： FENG Tiantian JIA Jinyu WANG Wei YU Zeran LIU Xingchen LI Guojun GU Yuanyuan LI Rongxing The Center for Spatial Information Science and Sustainable Development Applications Tongji UniversityShanghai 200092China College of Surveying and Geo-Informatics Tongji UniversityShanghai 200092China College of Electronic Science and Technology National University of Defense TechnologyChangsha 410073China

The mass balance of the Greenland Ice Sheet(GrIS)plays a crucial role in global sea level *** the 1960s,remote sensing missions have been providing extensive and continuous observation data for change monitoring of the *** this paper,we present our recent research results from remote sensing-based GrIS change ***,historical satellite data are processed and used to fill data gaps and are combined with existing partial maps,completing an ice velocity map of the GrIS from the 1960s to *** map provides valuable data for estimating the historical mass balance of ***,the monthly gravimetry-based mass balance of the GrIS from 2002 to 2020 is estimated by combining Gravity Recovery and Climate Experiment(GRACE)and GRACE Follow On(GRACE-FO)*** is found that the GrIS has lost a total mass of approximately 4443±75 Gt during this ***,based on Global Land Ice Measurements from Space(GLIMS),an updated Greenland glacier inventory is achieved utilizing data collected between 2006 and *** inventory provides more detailed and up-to-data glacier boundaries of ***,these advances provide essential data support for estimating the mass balance of the GrIS,contributing to the advancement of research on global sea level change.

关键词： Greenland Ice Sheet remote sensing change monitoring ice velocity satellite gravimetry glacier inventory

来源：评论

学校读者我要写书评

暂无评论

LPRA-DBT: Low-Processing-Rate Asymmetrical Dual-Band Tracking Method for BDS-3 B1I and B1C Composite Signal

LPRA-DBT: Low-Processing-Rate Asymmetrical Dual-Band Trackin...

引用

2022 International Technical Meeting of The Institute of Navigation, ITM 2022

作者： Tian, Zhenyu Cui, Xiaowei Liu, Gang Lu, Mingquan Department of Electronic Engineering Beijing National Research Center for Information Science and Technology Tsinghua University China

ISBN: (纸本)9780936406305

In addition to the traditional B1I signal, the third-generation Beidou navigation satellite system (BDS-3) broadcasts a new civilian signal, namely, B1C. These two signals can be combined to form an asymmetric double-sideband signal, which is called the B1 composite signal. The Gabor bandwidth of the B1 composite signal is much larger than that of B1I and B1C signals, which indicates that it has much better ranging performance in theory. Traditional tracking methods for the B1 composite signal treat it as a whole, which can be referred to as wideband tracking methods. However, due to the large bandwidth of the B1 composite signal, the sampling rate and processing rate required by these wideband tracking methods are both very high, resulting in high computational complexity and hardware cost. In order to solve this problem, this paper proposes a computationally efficient tracking method for the B1 composite signal. The proposed method first separates the B1 composite signal into two components: B1I and B1C signals, so that they can be down-sampled to reduce the processing rate required by the correlator channel. Then the down-sampled B1I and B1C signals are jointly processed in the tracking loop to obtain high-precision ranging measurements. Theoretical analysis and experimental results illustrate that the proposed method can achieve high ranging performance with low computational complexity. © 2022 Proceedings of the International Technical Meeting of The Institute of Navigation, ITM. All rights reserved.

关键词： Radio navigation

来源：评论

学校读者我要写书评

暂无评论

A deep learning approach for error detection and quantification in extrusion-based bioprinting

引用

Materials Today: Proceedings 2022年 70卷 131-135页

作者： Bonatti, Amedeo Franco Vozzi, Giovanni Kai Chua, Chee De Maria, Carmelo Department of Information Engineering and Research Center "Enrico Piaggio" University of Pisa Pisa Italy Engineering Product Development Pillar Singapore University of Technology and Design Singapore

Quality control in extrusion-based bioprinting (EBB) represents a crucial step to: i) reduce the trial-and-error process and associated material consumption, ii) achieve standard results across different set-ups and laboratories to comply with relevant health standards, and iii) so accelerate the translation of Tissue Engineered products to more impactful clinical applications. In this context, machine learning algorithms represent a key enabling technology that is currently being explored in literature for quality control in EBB, thanks to their ability to learn relevant features from a training dataset and generalize to new, unseen data. In this work, we present a novel application of a deep learning model to EBB, namely a convolutional Long Short-Term Memory (LSTM) autoencoder, to extract a relevant quality measure from videos taken from a frontal view during the printing process. In particular, a comprehensive dataset was built by varying multiple printing parameters and using different EBB set-ups. The data was then used to train the model and validate it using videos containing different types of errors (i.e., under- or over-extrusion). Results highlight that the approach can effectively detect relevant extrusion-related problems in a proportional way to the error magnitude, and so can be applied as a quality control solution for the EBB process. © 2022

关键词： Long short-term memory

来源：评论

学校读者我要写书评

暂无评论

Uni-Med: A Unified Medical Generalist Foundation Model For Multi-Task Learning Via Connector-MoE 38

Uni-Med: A Unified Medical Generalist Foundation Model For M...

引用

38th Conference on Neural information Processing Systems, NeurIPS 2024

作者： Zhu, Xun Hu, Ying Mo, Fanbin Li, Miao Wu, Ji Department of Electronic Engineering Tsinghua University China Beijing University of Posts and Telecommunications China College of AI Tsinghua University China Beijing National Research Center for Information Science and Technology China

Multi-modal large language models (MLLMs) have shown impressive capabilities as a general-purpose interface for various visual and linguistic tasks. However, building a unified MLLM for multi-task learning in the medical field remains a thorny challenge. To mitigate the tug-of-war problem of multi-modal multitask optimization in MLLMs, recent advances primarily focus on improving the LLM components, while neglecting the connector that bridges the gap between modalities. In this paper, we introduce Uni-Med, a novel medical generalist foundation model which consists of a universal visual feature extraction module, a connector mixture-of-experts (CMoE) module, and an LLM. Benefiting from the proposed CMoE that leverages a well-designed router with a mixture of projection experts at the connector, Uni-Med achieves efficient solution to the tug-of-war problem and can perform six different medical tasks including question answering, visual question answering, report generation, referring expression comprehension, referring expression generation and image classification. To the best of our knowledge, Uni-Med is the first effort to tackle multi-task interference at the connector in MLLMs. Extensive ablation experiments validate the effectiveness of introducing CMoE under any configuration, with up to an average 8% performance gains. We further provide interpretation analysis of the tug-of-war problem from the perspective of gradient optimization and parameter statistics. Compared to previous state-of-the-art medical MLLMs, Uni-Med achieves competitive or superior evaluation metrics on diverse tasks. Code and resources are available at https://***/MSIIP/Uni-Med. © 2024 Neural information processing systems foundation. All rights reserved.

关键词：

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：