The structure of a network

Artificial neural network (ANN), a powerful technique, has been used widely over the last decades in many scientific fields including engineering problems. However, the backpropagation algorithm in ANN is based on a gradient descent approach.

15p vibecca 01-10-2024 0 0   Download

In this paper, a Convolutional Neural Network (CNN) method is employed to classify the crack/noncrack aerial images captured on the surface of concrete structures. The CNN model was trained and validated using the available experimental data of 4000 previously published images.

4p vibecca 01-10-2024 1 1   Download

This paper describes a method to predict the fire resistance ratings of the wooden floor assemblies using Artificial Neural Networks. Experimental data collected from the previously published reports were used to train, validate, and test the proposed ANN model.

12p vifilm 24-09-2024 1 1   Download

This study develops a probabilistic data-driven approach using the Multiple Layer Perceptron network coupled with the Dropout mechanism to perform the pushover analysis of reinforced concrete (RC) frame structures, predicting base shear, lateral displacement, as well as their relationship between the two formers.

11p vifilm 24-09-2024 4 1   Download

The distance from the nearest concrete exposed surface to the centroidal axis of main longitudinal steel reinforcing bars, so-called axis distance, plays a critical role in ensuring the safety of reinforced concrete (RC) structures under fire, as it helps the rebars not being directly exposed to heating in a fire incident.

10p vifaye 20-09-2024 4 2   Download

This modeling is performed on an experimental data set of complexes, where the metal ions of these complexes include transition ion metals and lanthanide ion metals. We use these models to develop a series of new thiosemicarbazone and their complexes; simultaneously, the complexes are worked out the stability constants from the novel models.

9p dianmotminh02 03-05-2024 7 2   Download

In this paper, the development progress of a collaborative robot is presented in industrial fields: namely Vietcobot. The cobot actuator is designed as an integrated joint of hollow style which is a key part of the cobot development.

13p viannee 02-08-2023 16 7   Download

This research develops a rich theoretical and empirical understanding of embeddedness by way of three dimensions (structural, relational and cultural), and investigates its implications for actors’ value co-creation behaviours and value-in-context outcomes. In addition, the research refines co-creation perspectives by examining a central boundary condition of co-creation processes. The data was collected in an online service environment and was analysed using structural equation modelling techniques.

183p runthenight04 02-02-2023 7 2   Download

This thesis presents the following contributions. First, it is identified that disturbance estimation based networks utilised for compensation possess the same polynomial architectures as signal conditioning anti-windup and their equivalents. Next, an appropriate strategy is identified to integrate disturbance compensation for finite-controlset optimisation schemes via the constraint set rather than the cost function to maintain a simple and elegant problem structure.

208p runordie3 06-07-2022 10 2   Download

This project proposes two new methods of deep neural networks and handcrafted features for damage detection. The first method uses a convolution neural network (CNN) to extract deep features in time series and Long Short Term Memory (LSTM) network to find a statistically significant correlation of each lagged feature in time series data.

6p billyelliot 11-11-2021 28 1   Download

Goals of the dissertation: This thesis focuses on studying and developing meta-heuristic optimization methods and combines them with the Artificial Neural Network, which has advantages in approximating data, to build up a new algorithm for solving composite material structural optimization problems.

136p monsterhunterer 20-06-2021 8 2   Download

Software-defined networking (SDN) represents a new structure of computer network that simplifies and improves network management by splitting the control plane and data plane. Since SDN is regarded as a new research issue, the application of SDN in practice faces some barriers. Most network devices such as routers and switches that implement SDN functionalities are expensive. An alternative solution in SDN research and experiments is to use network emulators. By using Mininet, an open source network emulator, this study simulates SDN implementations in different environments.

13p nguaconbaynhay10 19-02-2021 26 1   Download

This work presents a molecular dynamics simulation (MDS) of CaSiO3 glass using Born–Mayer–Huggins potentials. The structural organization and structural phase transition under compression as well as network structure of CaSiO3 are clarified through analysis and visualization of molecular dynamics simulation data.

11p tamynhan9 02-12-2020 14 3   Download

In this paper, one-stage and two-stage nonlinear programming problems are investigated in order to evaluate the efficiency of two types of network data envelopment analysis model.

14p tohitohi 22-05-2020 14 0   Download

A database consisting of 23 tripeptides was used to study the quantitative relationships between electric surface potential descriptors and antioxidant activity QESARs. The important structural descriptors SaaNH_acnt, SsOH_acnt, SaaN, SaaN_acnt, SsssCH, SaaaC, SsNH3p, SdO, SdO_acnt were selected for constructing the linear models QESARs with genetic algorithm. The best 4-variable linear model QESARlinear including the structural descriptors SaaN, SdO, SdO_acnt and SsOH_acnt was constructed. The quality QESARlinear was exhibited in statistical values R2 fitness of 97.

7p nguathienthan1 20-11-2019 10 1   Download

The better-connected countries tend to have lower technology intensity if the technology has become obsolete. Finally, the third chapter is a theoretical approach to the technology diffusion. In particular, the technology diffusion across countries can be generalized as a learning process on networks. Based on a stylized learning model, this chapter examines the impact of the network structures on the speed of the diffusion process.

105p fugu897 03-07-2019 43 3   Download

In this paper, the identifying undamaged-beam status based on singular spectrum analysis (SSA) and wavelet neural networks (WNN) is presented. First, a database is built from measured sets and SSA which works as a frequency-based filter. A WNN model is then designed which consists of the wavelet frame building, wavelet structure designing and establishing a solution for training the WNN.

15p dieutringuyen 07-06-2017 53 1   Download

Describe the structure of a network, including the devices and media that are necessary for successful communications; explain the function of protocols in network communications; explain the advantages of using a layered model to describe network functionality;... Inviting you to refer.

102p youcanletgo_01 04-01-2016 68 5   Download

This chapter summarize the operation of Ethernet as defined for 100/1000 Mbps LANs in the IEEE 802.3 standard. Explain the functions that enable a switch to forward Ethernet frames in a LAN. Configure a switch for operation in a network designed to support voice, video, and data transmissions. Configure basic security on a switch that will operate in a network designed to support voice, video, and data transmissions.

163p youcanletgo_01 04-01-2016 61 5   Download

In this chapter: Describe wireless LAN technology and standards, describe the components of a wireless LAN infrastructure, describe wireless topologies, describe the 802.11 frame structure, describe the media contention method used by wireless technology,... Inviting you to refer.

75p youcanletgo_01 04-01-2016 41 3   Download