检索结果-内蒙古大学图书馆

Workshop on Metrology for Industry 4.0 and IoT

作者： Marianne Silva Gabriel Signoretti Thommas Flores Pedro Andrade Jordã o Silva Ivanovitch Silva Emiliano Sisinni Paolo Ferrari Postgraduate Program in Electrical and Computer Engineering (PPgEEC) Federal University of Rio Grande do Norte Natal Brazil University of Brescia Brescia Italy

The Internet of Things (IoT) has reduced the distance between one point and another and between people by connecting multiple devices to the web. However, the volume and speed of data creation and transmission have also increased. In this scenario, some challenges start to emerge, such as potentially irrelevant or redundant data transmission, that is, generating a more significant expenditure of energy and processing, in addition to the unnecessary use of the communication channel. Thus, to mitigate these, a solution for IoT devices would be data compression techniques. However, such devices available in the market today have severe limitations in terms of storage and processing power. Therefore, to overcome these limitations, the TinyML can be used to seek ways to implement machine learning models in low-power devices. In this context, this article aims to evaluate the impact of the compression algorithm (Tiny Anomaly Compress - TAC) on the performance of a microcontroller applied to the context of vehicles in a real scenario. As a result, it was found that even with the embedded algorithm, the microcontroller processing time is not affected in a meaningful way.

关键词： Performance evaluation Microcontrollers Data compression Communication channels Machine learning Real-time systems Internet of Things

来源：评论

学校读者我要写书评

暂无评论

Optimal Strategy to Reduce Energy Waste in an Electricity Distribution Network Through Direct/Indirect Bulk Load Control

SSRN

引用

SSRN 2023年

作者： Cerna, Fernando Vladimir Dantas, Jamile T. Naderi, Ehsan Contreras, Javier Department of Electrical Engineering Federal University of Roraima Boa Vista69310-000 Brazil Postgraduate Program in Natural Resources Research Area in Management and Dynamics of Natural Resources – Renewable Energies Federal University of Roraima Av. Nova Iorque – Aeroporto Boa Vista69310-000 Brazil School of Electrical Computer and Biomedical Engineering Southern Illinois University CarbondaleIL62901 United States School of Industrial Engineering University of Castilla-La Mancha Ciudad Real13071 Spain

In recent decades, the ever-increasing demand for electricity in large cities is leading the electricity distribution network (EDN) to an operational state of fatigue, especially at peak load times. Thus, the lifetime of feeders, transformers, circuit breakers, among others, can be compromised. In this context, load congestion, technical losses, and voltage deviations across the EDN can contribute to the high waste of electricity as well as to the worsening of the supply service. To face this problem, this paper proposes a mixed integer linear programming (MILP) model that aims to reshape the demand profile (i.e., load reduction in peak periods without load rebound in the remaining periods of the day) of total consumers while the voltage deviations and technical losses are minimized. In the proposed model, the demand profile reshaping is carried out through direct (DC) and indirect (IC) bulk control of residential, commercial, and industrial loads, while the load factor (LF), i.e., indicator related to the efficient use of electricity, is improved. Due to the scheduling of these loads at certain times of the day, the occurrence of voltage deviations and technical losses can be mitigated by the efficient control of capacitor banks (CBs). © 2023, The Authors. All rights reserved.

关键词： Electric circuit breakers

来源：评论

学校读者我要写书评

暂无评论

A robust feedback-linearization MPC with artificial target for UGVs

引用

Mechatronics 2025年 110卷

作者： Bruno S.S. Pereira Tito L.M. Santos Andre G.S. Conceicao Postgraduate Program in Electrical and Computer Engineering Department of Electrical and Computer Engineering Federal University of Bahia Rua Aristides Novis 02 Salvador 40210-630 Bahia Brazil Department of Robotics SENAI-CIMATEC Av. Orlando Gomes 1845 Salvador 41650-010 Bahia Brazil

This paper proposes a new robust feedback-linearization MPC for a class of Unmanned Ground Vehicles. A robust MPC for trajectory tracking with an artificial target is combined with a suitable constraint mapping to ensure robust constraint satisfaction and recursive feasibility despite the effect of bounded disturbances. The artificial reference provides a potentially enlarged domain of attraction, and an analytical target modification is used to achieve the convergence of the tracking error to a minimal robust positively invariant set. The feedback-linearization trade-off concerning the transformed constraints is also analyzed. A case study demonstrating the control strategy’s performance is presented using the Clearpath Husky A200 UGV and the OptiTrack motion capture system.

关键词：

来源：评论

学校读者我要写书评

暂无评论

A novel tri-bandpass filter side-coupled square ring based

引用

Journal of Microwaves, Optoelectronics and Electromagnetic Applications 2020年第2期19卷 265-275页

作者： Duarte, José Garibaldi Da Silva Neto, Valdemir Praxedes Postgraduate Program in Electrical and Computer Engineering PPGEEC UFRN Natal RN Brazil Communication Engineering Department DCO UFRN Natal RN Brazil

This work presents the design of a tri-bandpass filter based on the side-coupled square ring structure. The modeling is conceived from the classic approach of coupled transmission lines. The geometry consists of a square structure of electrical length equal to twice the wavelength of the main operating frequency, and the laterally coupled lines through which the power supply occurs. Expressions for the admittance and transformation matrix were obtained based on the impedances and admittances that model the geometry. Analyzis were performed from EM simulations. A prototype was built to validate the modeling and adjusted for operation at 0.78, 1.5 and 2.30 GHz. All results are discussed and commented, and the comparisons between simulated and measured results are coherent and in agreement, thus proving the effectiveness of the applied method. © 2020 SBMO/SBMag.

关键词： Electric lines

来源：评论

学校读者我要写书评

暂无评论

A proposed iterative DFT-based channel estimation for FBMC scattered pilot frame model

A proposed iterative DFT-based channel estimation for FBMC s...

引用

IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB)

作者： Jefferson Jesus Hengles Almeida Paulo Batista Lopes Cristiano Akamine Postgraduate Program in Electrical and Computer Engineering (PPGEEC) Mackenzie Presbyterian University São Paulo Brazil

ISBN: (数字)9781728157849

ISBN: (纸本)9781728157856

The Filter Bank Multi Carrier (FBMC) has been studied as replacement for Orthogonal Frequency Division Multiplexing (OFDM) on the physical layer of the telecommunication systems. FBMC presents improvements on the spectrum utilization, bit rate and robustness to interference, without the need for inclusion of a Cyclic Prefix (CP). Since the orthogonality among symbols on FBMC is accomplished by means of using Offset QAM (OQAM), channel estimation becomes a challenge. This work presents a scattered pilot frame proposed for digital TV and a cubic spline interpolation combined with DFT-based iterative channel estimation method with statistical limit. The system was developed and tested on GNU Radio Companion (GRC) environment and its performance was analyzed on noise and multipath scenarios. The Bit Error Rate (BER) curves shows the better performance of proposed model.

关键词： Interpolation OFDM Bit error rate Estimation Channel estimation Robustness Iterative methods

来源：评论

学校读者我要写书评

暂无评论

DFT and ANN based channel estimation techniques combined to 3-tap equalization for a proposed FBMC scattered pilot frame model

DFT and ANN based channel estimation techniques combined to ...

引用

IEEE Latin-American Conference on Communications, LATINCOM

作者： Jefferson Jesus Hengles Almeida Cristiano Akamine Paulo Batista Lopes Postgraduate Program in Electrical and Computer Engineering (PPGEEC) Mackenzie Presbyterian University São Paulo Brazil

ISBN: (数字)9781728189031

ISBN: (纸本)9781728189048

This work presents a Filter Bank Multi Carrier (FBMC) based digital TV frame model combined to novel 3-tap Artificial Neural Network (ANN) and statistical Discrete Fourier Transform (DFT) channel estimation techniques. This arrangement improves the spectral efficiency and robustness of the transmission of data by avoiding the use of Cyclic Prefix (CP). The results show that pilot aided FBMC frame can be employed in digital TV applications. The Bit Error Rate (BER) curves demonstrate that ANN and DFT with statistical threshold 3-tap methods enhance the performance in multipath scenarios in comparison to traditional techniques.

关键词： Discrete Fourier transforms Bit error rate Channel estimation Estimation Artificial neural networks Robustness Digital TV

来源：评论

学校读者我要写书评

暂无评论

Load Factor Improvement of the Electricity Grid Considering Distributed Resources Operation and Regulation of Peak Load

SSRN

引用

SSRN 2022年

作者： Cerna, Fernando Vladimir Naderi, Ehsan Marzband, Mousa Contreras, Javier Coêlho, John K. Fantesia, Maurício P. Department of Electrical Engineering Federal University of Roraima Boa Vista69310-000 Brazil Postgraduate Program in Natural Resources Research Area in Management and Dynamics of Natural Resources – Renewable Energies Federal University of Roraima Av. Nova Iorque – Aeroporto Boa Vista69310-000 Brazil School of Electrical Computer and Biomedical Engineering Southern Illinois University CarbondaleIL62901 United States Department of Mathematics Physics and Electrical Engineering Faculty of Engineering and Environment Northumbria University Newcastle upon TyneNE1 8ST United Kingdom School of Industrial Engineering University of Castilla-La Mancha Ciudad Real13071 Spain

The load factor (LF) of an electricity network (EN) is an indicator related to the efficient electricity usage within a time horizon (e.g., day, month, year, etc.). LF improvement can be achieved through an efficient operational scheme that combines several strategies. Among them, peak load regulation in the demand profile of all the consumers together with the operation of distributed resources (DREs), such as renewable sources (RSs) and capacitor banks (CBs) represents a promising alternative. To address this efficient scheme, this work proposes a mixed-integer linear programming (MILP) model that aims to increase the LF through the bulk scheduling of residential, commercial, and industrial electrical appliances during the day, considering a baseline demand and an hourly rate. At the same time, voltage fluctuations and technical losses are mitigated by the presence of DREs in the EN. Operational constraints related to the performance of EN, RSs, and CBs are considered. Uncertainties in the habitual demand profiles and solar radiation incidence during the day are represent through simulation algorithms. In order to evaluate our proposal, a modified 14-node IEEE EN was used. The results corroborate the applicability of this proposed MILP model, reducing electricity waste and ensuring the efficient EN operation. © 2022, The Authors. All rights reserved.

关键词： Integer programming

来源：评论

学校读者我要写书评

暂无评论

Load Factor Improvement of the Electricity Grid Considering Distributed Resources Operation and Regulation of Peak Load

SSRN

引用

SSRN 2022年

关键词： Integer programming

来源：评论

学校读者我要写书评

暂无评论

A Two-stage Reconfiguration in Network Function Virtualization: Toward Service Function Chain Optimization

引用

IEEE Transactions on Network and Service Management 2025年

作者： Assis, Karcius D. R. Almeida, Raul C. Baghban, Hojjat Santos, Alex F. Boutaba, Raouf Electrical and Computer Engineering Department Salvador Brazil University of Waterloo David R. Cheriton School of Computer Science Canada Department of Electronics and Systems Recife Brazil Chang Gung University Department of Artificial Intelligence Taiwan Chang Gung University College of Intelligent Computing Taiwan Center of Science and Technology in Energy and Sustainability Brazil Postgraduate Program in Computer Science Bahia Brazil

Network Function Virtualization (NFV), as a promising paradigm, speeds up the service deployment by separating network functions from proprietary devices and deploying them on common servers in the form of software. Any service in NFV-enabled networks is achieved as a Service Function Chain (SFC) which consists of a series of ordered Virtual Network Functions (VNFs). However, migration of VNFs for more flexible services within a dynamic NFV-enabled network is a key challenge to be addressed. Current VNF migration studies mainly focus on single VNF migration decisions without considering the sharing and concurrent migration of VNF instances. In this paper, we assume that each deployed VNF is used by multiple SFCs and deal with the optimal placement for the contemporaneous migration of VNFs based on the actual network situation. We formalize the VNF migration and SFC reconfiguration problem as a mathematical model, which aims to minimize the VNF migration between nodes or the total number of core changes per node. The approach is a two-stage MILP based on optimal order to solve the reconfiguration. Extensive evaluation shows that the proposed approach can reduce the change in terms of location or number of cores per node in a 6-node and 14-node networks while ensuring network latency compared with the model without reconfiguration. © 2004-2012 IEEE.

关键词： Network function virtualization

来源：评论

学校读者我要写书评

暂无评论

Shoulder Flexion Pre-Movement Recognition Through Subject-Specific Brain Regions to Command an Upper Limb Exoskeleton

Shoulder Flexion Pre-Movement Recognition Through Subject-Sp...

引用

Annual International Conference of the IEEE engineering in Medicine and Biology Society (EMBC)

作者： Yunier Prieur-Coloma Denis Delisle-Rodríguez Leondry Mayeta-Revilla Dharmendra Gurve Ramón A. Reinoso-Leblanch Alberto López-Delis Teodiano Bastos Sri Krishnan Adson F. da Rocha Center of Medical Biophysics University of Oriente Cuba Postgraduate Program in Electrical Engineering Federal University of Espirito Santo Brazil Department of Biomedical Engineering University of Oriente Cuba Department of Electrical Computer and Biomedical Engineering Ryerson University Toronto Canada Department of Electrical Engineering University of Brasilia Brasilia Brasil

ISBN: (数字)9781728119908

ISBN: (纸本)9781728119915

This work presents two brain-computer interfaces (BCIs) for shoulder pre-movement recognition using: 1) manual strategy for Electroencephalography (EEG) channels selection, and 2) subject-specific channels selection by applying non-negative factorization matrix (NMF). Besides, the proposed BCIs compute spatial features extracted from filtered EEG signals through Riemannian covariance matrices and a linear discriminant analysis (LDA) to discriminate both shoulder pre-movement and rest states. We studied on twenty-one healthy subjects different frequency ranges looking the best frequency band for shoulder pre-movement recognition. As a result, our BCI located automatically EEG channels on the contralateral moved limb, and enhancing the pre-movement recognition (ACC = 71.39 ± 12.68%, κ = 0.43 ± 0.25%). The ability of the proposed BCIs to select specific EEG locations more cortically related to the moved limb could benefit the neuro-rehabilitation process.

关键词： Electroencephalography Manuals Covariance matrices Shoulder Frequency measurement Exoskeletons Brain-computer interfaces

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：