
Network system
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Bài giảng Điều khiển nối mạng trình bày các khái niệm cơ bản và chuyên sâu về hệ thống điều khiển phân tán, điều khiển qua mạng truyền thông (Networked Control Systems – NCS). Nội dung bao gồm kiến trúc hệ thống, ảnh hưởng của độ trễ mạng, mất gói tin và các phương pháp điều khiển bền vững trong môi trường kết nối mạng. Tài liệu giúp sinh viên và kỹ sư ngành điều khiển – tự động hóa hiểu rõ cơ chế vận hành và ứng dụng trong các hệ thống điều khiển hiện đại.
63p
phongtrongkim0906
16-05-2025
1
1
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In this paper, we propose a single-step Deep Neural Network (DNN) for CE, termed Iterative Sequential DNN (ISDNN), inspired by recent developments in data detection algorithms. ISDNN is a DNN based on the projected gradient descent algorithm for CE problems, with the iterative iterations transforming into a DNN using the deep unfolding method.
7p
vijiraiya
19-05-2025
1
1
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Lecture Cryptography: Cryptography Applications (Part 1) introduces real-world applications of cryptographic principles in authentication, key negotiation, and secure protocols. Topics include SSL/TLS, IPSec, SSH, and Kerberos. The lecture emphasizes practical implementation in networks and systems. Please refer to the lecture for more details!
62p
hoatrongguong03
15-05-2025
1
1
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Lecture Cryptography: Cryptography Applications (Part 2) explores modern applications of cryptography in blockchain systems. It covers secure transactions, consensus mechanisms, and network architecture. This lecture illustrates how cryptography underpins the security and trust of decentralized platforms. Please refer to the lecture for more details!
46p
hoatrongguong03
15-05-2025
2
1
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This paper investigates the system performance of hybrid time-power switching based relaying (TPSR) energy harvesting enabled in the multisource half-duplex relaying network over the Rayleigh fading channel. The outage probability (OP) of the proposed system model with implementing maximal ratio combining (MRC) and selection combination (SC) technique at the receiver is presented and analyzed.
8p
viling
11-10-2024
5
1
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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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In this paper, we propose a wavelet type-2 fuzzy brain imitated controller (WT2FBIC) for nonlinear robotic systems. The suggested method combines a wavelet type-2 fuzzy system (WT2FS) and a brain imitated controller (BIC) to improve learning efficiency.
11p
viling
11-10-2024
1
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, we used Convolution neural network (CNN) that exploits the visual properties of the input data to obtain features from network traffic, thereby achieving good intrusion detection performance.
11p
viling
11-10-2024
3
1
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Ultra-wideband (UWB) radars are getting much attention for maritime applications of smart and luxury ships in which UWB radar could be integrated into Bridge Navigational Watch & Alarm System - BNWAS. One of the interesting applications of UWB radar is vital signs measurement, which is a contactless method. UWB radar measures respiration and heartbeat rate by the motion of thorax for detecting and checking the state of people on the bridge.
5p
vifilm
11-10-2024
3
1
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This paper introduces the application of artificial intelligence to build a security control software system in local military units. This software system uses state-of-the-art convolutional neural networks (CNN SOTA) for facial recognition by testing two of the best facial recognition models currently available: the FaceNet model and the VGGFace model.
8p
vifilm
11-10-2024
6
1
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The process of neural stem cell (NSC) differentiation into neurons is crucial for the development of potential cell-centered treatments for central nervous system disorders. However, predicting, identifying, and anticipating this differentiation is complex. In this study, we propose the implementation of a convolutional neural network model for the predictable recognition of NSC fate, utilizing single-cell brightfield images.
7p
viengfa
28-10-2024
2
2
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This paper is structured as follows. The following section presents related work. Section 3 summarizes the characteristics of the two datasets utilized in the model and the system’s overall architecture for image-based disease diagnosis. Section 4 provides our experimental results that compare the performance metrics with other studies.
6p
viengfa
28-10-2024
3
2
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This study introduces and evaluates the Long-term Traffic Prediction Network (LTPN), a specialized machine learning framework designed for realtime traffic prediction in urban environments.
12p
viengfa
28-10-2024
3
2
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Paper "Multi-source data analysis for bike sharing systems" propose two types of regression models using multi-source data to predict the hourly bike pick-up demand at cluster level: Similarity Weighted K-Nearest-Neighbor (SWK) based regression and Artificial Neural Network (ANN). SWK-based regression models learn the weights of several meteorological factors and/or taxi usage and use the correlation between consecutive time slots to predict the bike pick-up demand.
6p
tuongtieume
03-04-2025
6
1
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This study proposes an improved optimization algorithm, combining a chaotic search function and the Runge Kutta optimizer, to address the optimal power dispatch problem for EVCS integrated with Vehicle-to-Grid technology in Distribution Networks featuring Distributed Generation and Battery Energy Storage Systems.
11p
viaburame
14-03-2025
3
1
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The problem of robust stability is investigated for a class of uncertain Hopfield-type neural networks with proportional delays. The existence and uniqueness of an equilibrium is first established using the homeomorphic mapping theorem. Then, by employing a modified Lyapunov–Krasovskii functional, a new criterion for the global asymptotic stability of an equilibrium point of the system is formulated.
12p
viaburame
14-03-2025
2
1
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This paper investigates the problem of finite-time stability for discrete-time neural networks with sector-bounded neuron activation functions and interval-like timevarying delay. The extended reciprocally convex approach is used to establish a delay-dependent sufficient condition to ensure finite-time stability for this class of systems.
12p
viling
11-10-2024
2
1
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This paper will present an IoT-based system to monitor critical parameters of vehicles, including temperature, humidity, fuel consumption, and positioning. The proposed system integrates a network of sensors within the vehicle to capture real-time data, which is transmitted to a centralized control unit for analysis and visualization.
9p
viinuzuka
28-02-2025
5
1
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