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2nd International Conference on computer System, Information Technology, and electrical engineering, COSITE 2023

作者： Fitria, Maya Candra, Yudi Al-Assad, Muhammad Hafez Roza, Silvia Dawood, Rahmad Department of Electrical and Computer Engineering Universitas Syiah Kuala Indonesia Indonesia

ISBN: (纸本)9798350343069

Frequently consumed for its tasty, crunchy flesh and distinct aroma, Sky Rocket Melon is a widely grown tropical horticultural crop and is considered a commodity of great economic potential in Indonesia. It is rich with soughtafter nutrients like Vitamin C. Typically, the melon’s ripeness is assessed by directly inspecting its visual appearance, its aroma, and the sound produced while tapped. This method is naturally subjective and inconsistent due to disparities between individual assessors. Thus, this work aims to develop a novel, and more objective, method for classifying the sweetness of Sky Rocket melon using deep learning. The classes are divided into sweet and non-sweet melons. 1800 collected datasets are divided into training data, validation data, and testing data with a ratio of 60:20:20, respectively. Combining with different parameters, three architectures of Convolutional Neural Network (CNN): EfficientNet B4, ResNet-50, and ShuffleNet V2, are trained and evaluated. The result shows that the ShuffleNet V2 model outperformed other models, with an accuracy of 88.06%. © 2023 IEEE.

关键词： Deep learning

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Reliability Modeling and Analysis of DC Space Microgrids 5

Reliability Modeling and Analysis of DC Space Microgrids

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5th IEEE International Conference on DC Microgrids, ICDCM 2023

作者： Chebbo, Leila Bazzi, Ali University of Connecticut Electrical and Computer Engineering Department Storrs United States

ISBN: (纸本)9798350321272

This work presents a space microgrid architecture for long-term space exploration and human presence in space. It also considers internal and external microgrid faults, and their effects on the functionality of the space habitat. Additionally, it presents a qualitative reliability assessment model for the space microgrid based on Fault Tree Analysis (FTA). The paper presents different failure modes of the power system components, classifies their importance, and assesses the reliability of the system in multiple phases of operation and with different power management and control systems. Simulation results to assess the microgrid's reliability for various disturbance scenarios in a space habitat model are shown. © 2023 IEEE.

关键词： Reliability analysis

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A Long Short-Term Memory-Based Interconnected Architecture for Classification of Grasp Types Using Surface-Electromyography Signals

IEEE Transactions on Artificial Intelligence

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IEEE Transactions on Artificial Intelligence 2024年第1期5卷 434-445页

作者： Erazo, Andres Ko, Seok-Bum University of Saskatchewan Division of Biomedical Engineering SaskatchewanSKS7N 5A2 Canada University of Saskatchewan Department of Electrical and Computer Engineering Division of Biomedical Engineering SaskatchewanSKS7N 5A2 Canada

Reliable classification of grasp types from human limbs has become an important aspect used by applications with humanoid robotic systems, because of their high-accuracy implementations in human movement replication and detection. Biomedical features extracted from muscular signals are commonly used for this purpose, however, their extraction and usage have been targeted independently, with time series features not even considered in the classification stage. Recently, studies show deep neural networks could obtain the signal's features in their internal architecture and use them directly over a classification task, avoiding all preprocessing steps and improving the obtained accuracy. Therefore, the current study proposes a deep architecture based on long short-term memory networks for the classification of six grasp types as an end-to-end deep model approach, working with raw surface electromyography signals. Classification accuracy of 99.12% was obtained and compared with previous studies which use different machine learning techniques over the same dataset. Results obtained showed that our model's architecture improves previous results as well as provides a robust solution avoiding overfitting, with an F1-score higher than 99% for all grasp types. © 2020 IEEE.

关键词： Time series analysis

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An Efficient Method for Dynamic Hosting Capacity of Distribution Grids 4

An Efficient Method for Dynamic Hosting Capacity of Distribu...

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4th Annual IEEE Kansas Power and Energy Conference, KPEC 2023

作者： Khan, Mohammad Asif Iqbal Savasci, Alper Paudyal, Sumit Florida International University Department of Electrical and Computer Engineering United States

ISBN: (纸本)9798350335408

As the penetration of distributed energy resources (DERs) and flexible loads are increased, it is valuable to ensure that the coordination does not violate network operational constraints while maximizing grid utilization. Based on the grid measurements, the distribution feeder utilization can be enhanced using simple algorithms that allow additional DERs and flexible loads to be accommodated on the feeder. In this context, an efficient dynamic hosting capacity computation method is developed that guarantees distribution grid operational feasibility. By using the IEEE 13-node test feeder, we demonstrate the maximization of hosting capacity using the proposed scheme. © 2023 IEEE.

关键词： Energy resources

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Incentive Designs for Learning Agents to Stabilize Coupled Exogenous Systems 63

Incentive Designs for Learning Agents to Stabilize Coupled E...

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63rd IEEE Conference on Decision and Control, CDC 2024

作者： Certorio, Jair Martins, Nuno C. La, Richard J. Arcak, Murat Institute for Systems Research University of Maryland College Park Department of Electrical and Computer Engineering College ParkMD20740 United States University of California Department of Electrical Engineering and Computer Science BerkeleyCA94720 United States

ISBN: (纸本)9798350316339

We consider a large population of learning agents noncooperatively selecting strategies from a common set, influencing the dynamics of an exogenous system (ES) we seek to stabilize at a desired equilibrium. Our approach is to design a dynamic payoff mechanism capable of shaping the population's strategy profile, thus affecting the ES's state, by offering incentives for specific strategies within budget limits. Employing system-theoretic passivity concepts, we establish conditions under which a payoff mechanism can be systematically constructed to ensure the global asymptotic stability of the ES's equilibrium. In comparison to previous approaches originally studied in the context of the so-called epidemic population games, the method proposed here allows for more realistic epidemic models and other types of ESs, such as predator-prey dynamics. The stability of the equilibrium is established with the support of a Lyapunov function, which provides useful bounds on the transient states. © 2024 IEEE.

关键词： Lyapunov functions

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A Comprehensive P-Q Capability Study for Grid Interconnection of Inverter Based Resources Plant

A Comprehensive P-Q Capability Study for Grid Interconnectio...

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2023 IEEE Industry Applications Society Annual Meeting, IAS 2023

作者： Rahman, Shahinur Li, Shuhui Das, Himadry Shekhar The University of Alabama Electrical and Computer Engineering Department Tuscaloosa United States

ISBN: (纸本)9798350320169

With the increased inverter-based resources (IBRs) connected to the grid, IBR P-Q capability charts are needed, proposed, and developed by the power industry to assure IBR operation efficiency and reliability. This paper presents a comprehensive P-Q capability evaluation for an IBR plant interconnected with the transmission grid. The proposed study considers the impact of different IBR grid-connected filters, IBR vector control implementation in the dq reference frame, and special interconnection nature of IBRs in a plant structure. The models and algorithms developed for the IBR P-Q capability analysis have considered specific IBR constraints that are different from those of a synchronous generator. The paper especially focuses on exploring the P-Q capability characteristics of IBRs and IBR plant at different interconnection points that are important for managing, designing, and controlling IBRs within an IBR plant, and for the development of international standards, such as IEEE P2800, for connecting IBRs to the transmission and distribution grids in a plant structure. © 2023 IEEE.

关键词： Electric power distribution

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Short-Term Electric Load Prediction in Smart Grid using Multi-Output Gaussian Processes Regression 4

Short-Term Electric Load Prediction in Smart Grid using Mult...

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4th Annual IEEE Kansas Power and Energy Conference, KPEC 2023

作者： Ghasempour, Alireza Martinez-Ramon, Manel University of New Mexico Department of Electrical and Computer Engineering United States

ISBN: (纸本)9798350335408

Electric load prediction (ELP) can support smart grid (SG) goals such as reliability and efficiency. In ELP, we predict the electricity demand at aggregated levels which is very vital for the proper functioning of SG and keeping a balance between load and supply demand. ELP can be categorized as very short-term, short-term, medium-term, and long-term ELP. In this paper, we proposed multi-output Gaussian processes (MOGP) regression for hourly day-ahead short-term ELP (predicting 24 load values of the next day) based on load, temperature, and dew point values of previous days. We evaluated the performance of the proposed MOGP and compared it with the persistence and multiple linear regression methods. The results show that the proposed MOGP has a very good prediction accuracy. © 2023 IEEE.

关键词： Multiple linear regression

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New Single Phase Direct AC-AC Converters As A Series Static Digital Voltage Stabilizer With The Introduction Of Transformer And Transformerless Network Connection 31

New Single Phase Direct AC-AC Converters As A Series Static ...

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31st International Conference on electrical engineering, ICEE 2023

作者： Mortazavi, Seyed Mohesen Beiranvand, Reza Tarbiat Modares University Department of Electrical and Computer Engineering Tehran Iran

ISBN: (纸本)9798350312560

The power quality at the place of consumption is of great importance. Considering the increasing consumption rate, the distance between production and consumption places, sensitive consumers, and also the impact of non-linear loads on the voltage quality of the consumer side, it seems necessary to create a platform for improving the power quality. Variations in over-voltage and under-voltage levels, among other types of power quality issues, are something that must be specifically addressed and dealt with, as they can reduce efficiency and lead to equipment damage. Improvement of the power quality at the place of consumption is why it is necessary to use voltage stabilizers. In this article, a cost-effective bidirectional voltage stabilizer with a new structure for AC voltage level regulation applications is presented, a low number of switches, a simple switching pattern, the possibility of increasing and decreasing the voltage level, the common ground between the load and the network, and the possibility The connection is with and without a transformer are including the advantages of the proposed structure. Presenting the structure of the proposed converter along with its switching pattern, calculations related to the gain, and the Introduction of the types of connection modes of the converter to the network are presented in this article. Finally, in order to check and verify the theoretical relationships, the simulation of the proposed structure has been done using Psim software. © 2023 IEEE.

关键词： Power quality

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Data-Driven Human Factors Enabled Digital Twin 49

Data-Driven Human Factors Enabled Digital Twin

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49th Annual Conference of the IEEE Industrial Electronics Society, IECON 2023

作者： Kolesnikov, Mikhail V. Atmojo, Udayanto Dwi Vyatkin, Valeriy Aalto University Department of Electrical Engineering and Automation Espoo Finland Lulea Tekniska Universitet Department of Computer Science Computer and Space Engineering Sweden

ISBN: (纸本)9798350331820

This paper presents a methodology for increasing human-centric production systems flexibility using human factors-enabled digital twins. The paper includes an analysis of the relevant projects that incorporate human-related data collection and processing. The proposed system is capable of collecting human factors-related data from various sources and then use a decision-making algorithm to schedule the tasks according to assessed human operator conditions in real-time. The formed Digital Twin is able to depict the condition of the labourer and production system status in real-time using Visual Components simulation environment. Shown results prove that existing production systems are capable of adapting to the changing condition of the worker flexibly, optimising workflow, distributing tasks with AGVs and cobots, and applying changes in workplace ergonomics to achieve better safety and performance of the worker. © 2023 IEEE.

关键词： Decision making

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Using Compressive Sensing Technique in Image Sensing 31

Using Compressive Sensing Technique in Image Sensing

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31st International Conference on electrical engineering, ICEE 2023

作者： Sepehri, Zahra Sayedi, Seyed Masoud Yazdian, Ehsan Isfahan University of Technology Department of Electrical and Computer Engineering Isfahan Iran

ISBN: (纸本)9798350312560

This article presents a new structure of image sensor that compresses the image information based on the compressive sensing (CS) technique and employing a measurement matrix. In the proposed structure to perform compression, the image related voltages on the capacitors in each neighboring pixels are summed in a specific regular pattern. Also, the high sparsity of moving objects images which obtained from the difference images has been exploited and the proposed structure compresses the image information both in the normal and difference modes. Implementation of the measurement matrix and linear combination of the pixel data is done by simple connections between the pixels. The results of 300 images and 30 difference images compressed and recovered through a deterministic measurement matrix show the PSNR values of 26.65 dB and 40.09dB respectively. The results show the effect of applying presented method on the quality of recovered images. © 2023 IEEE.

关键词： Compressed sensing

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