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Electricity demand is increasing, transmission line development can not keep up with it. This puts the power system in a full load state which puts the power system operating near the boundary of stability. This paper applies deep neural networks to predict power system dynamic stability.
10p
viling
11-10-2024
2
1
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This paper presents a technique for integrating battery energy storage systems (BESS) into a distribution network with penetration of wind and solar power in order to improve the operation efficiency of distribution networks, exploit renewable energy capability, and reduce operation issues.
12p
viling
11-10-2024
5
1
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In this study, an RS-485 protocol for Arduino boards that operate in Master-Slave networks was developed. Network operations could be carried out independently on the main thread program, and devices in the network could react quickly to information received.
10p
viling
11-10-2024
2
1
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In this paper, author uses 8-bit fixed-point quantization to greatly reduce the memory space requirement of the feature maps and weights and the accuracy of LeNet-5 with MNIST dataset is only slightly reduced. In the hardware accelerator, author proposes a highly flexible CNN accelerator with reconfigurable layers.
14p
viling
11-10-2024
3
1
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This paper presents a centralized monitoring and management system for communication stations in communication units. The system includes on-site monitoring and alert device located at communication stations and centralized monitoring and management software at the operating center.
11p
viling
11-10-2024
1
1
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In this study, we propose a novel approach using the oscillation characteristics of the RMS current as the input to machine learning models, combined with the confident learning technique. Using the oscillation characteristics obtained by taking a discrete Fourier transform (DFT) of the RMS current as model input, we aim to reduce the computational requirements of the machine learning models.
12p
viling
11-10-2024
4
1
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In the precipice of the digital age, organizations are navigating through a transformation that is not only technological but also ecological. In light of the increasing emphasis on sustainability within the business sector, Green Human Resource Management (Green HRM) has surfaced as a crucial approach that incorporates environmental stewardship into fundamental human resource operations.
10p
vifilm
11-10-2024
2
1
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This paper aims to address this limitation by introducing techniques for estimating trustworthiness from a community context. These techniques rely on similarity measures or operators within the framework of path algebra.
8p
viengfa
28-10-2024
3
2
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This article presents a machine's design, manufacturing, and control processes for packaging creampuffs into boxes. The system includes a creampuff-dropping module operated by pneumatic cylinders, a horizontal box transposition module controlled by the IAI ROBO Cylinder, and multiple conveyors for handling boxes and creampuffs.
6p
viengfa
28-10-2024
6
2
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This study explores both teachers and students’ perceptions of the use of role play to enhance students' speaking skills in English for Restaurant and Hotel Operation Course at a college in the north of Vietnam.
7p
viengfa
28-10-2024
5
1
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In operating the distribution network, the problem of reconfiguration distribution network according to the change of load to reduce power loss has partly reduced the operation cost of the distribution network but it can impact the reliability of power supply to the load.
11p
viengfa
28-10-2024
3
2
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The removal of organic dyes from wastewater is essential to protect the ecosystem and human health. This study evaluated the ability of the ozone system combined with ultrasound to remove organic pigment disperse red 152 (DR152).
8p
viengfa
28-10-2024
4
2
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Accurate forecasting of the electrical load is a critical element for grid operators to make well-informed decisions concerning electricity generation, transmission, and distribution. In this study, an Extreme Learning Machine (ELM) model was proposed and compared with four other machine learning models including Artificial Neural Networks (ANN), Convolutional Neural Networks (CNN), Long Short-Term Memory (LSTM) and Gated Recurrent Unit (GRU).
10p
viengfa
28-10-2024
2
1
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A crucial trend for the future is the integration of wind power (WP) into the grid, in order to guarantee that the source of energy used to replace fossil fuels pollutes the environment. The generation source, the load, or the shortcircuit occurrence will have an impact on the grid, therefore, have a suitable solution to ensure its safe operation.
8p
viengfa
28-10-2024
2
1
Download
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Using numerical commercial software, this article presents a type of autonomous unmanned flying car capable of saving people in burning highrise buildings in urban areas. This kind of flying vehicle is maneuverable and fast, and it has the ability to anchor to the building balconies to receive people in distress.
9p
viengfa
28-10-2024
5
2
Download
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This article provides an overview of the mechanism and performance operating cycle of internal combustion engines using water-fuel emulsions and the efficiency, economy, and environmental friendliness of this fuel type for automobiles.
12p
viengfa
28-10-2024
2
2
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This study underscores the critical importance of integrating engineering and geological assessments at various stages of dam construction. Re-evaluating and addressing evolving foundation conditions, particularly during construction, is essential for applying effective treatments to prevent dam failure during operation.
15p
viengfa
28-10-2024
3
2
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In recent years, the fourth industrial revolution has been progressing strongly, resulting in numerous accomplishments that have profound implications for various industries and sectors of the economy, including the banking sector. In the context of the digital transformation boom, traditional banking models have undergone modifications and advancements with the aim of boosting competitiveness and efficiency, leading to the emergence of the Open banking .
3p
zizaybay1101
09-05-2024
12
3
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In Vietnam, digital transformation has been considered as the leading strategy of commercial banks, especially in terms of credit risks. Therefore, they must identify how their digital transformation affects their credit risks to maintain effective operation and steady growth in a complex and changing market environment.
12p
viormkorn
27-09-2024
6
3
Download
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This study aims to provide a comprehensive understanding of green human resource management by examining, analyzing, and synthesizing findings from 109 empirical studies conducted worldwide. These studies were published between 2017 and July 2023.
15p
viormkorn
27-09-2024
6
2
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