
Models used in analysis
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This study applies Wavelet analysis to develop a comprehensive method for detecting damage in spiral bevel gears within automotive drive systems. By utilising Wavelet analysis to examine the vibration signals of the gears, it is possible to identify spatial and temporal variations in the signals, thereby detecting signs of damage in the system.
12p
vifilm
11-10-2024
5
1
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This study delves into the application of machine learning (ML), specifically a Gradient Boosting (GB) model, for predicting the punching shear strength (PSS) of two-way reinforced concrete flat slabs.
16p
viengfa
28-10-2024
3
2
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The present paper also includes strength prediction models that consider the influence of curing temperature. In addition, the Thermogravimetry analysis (TGA) used to determine the chemically bound water content in cement-treated soil and the X-ray diffraction (XRD) test to explain the chemical mechanism in cement-treated soil are also mentioned.
18p
viengfa
28-10-2024
4
2
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Rubberized concrete is a material that is both ecologically friendly and sustainable, and it has been finding more and more usage in building applications recently. In this study, a machine learning model, namely LightGBM, is developed to predict rubberized concrete's compressive strength (CS) using 11 input parameters.
18p
viengfa
28-10-2024
3
1
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This study measured production efficiency considering environmental factors (environmental efficiency) to assess the sustainability of pig farms in the district. This study used the data envelopment analysis (DEA) model with undesirable output (COD emissions) to measure environmental efficiency in pig production.
12p
vibecca
01-10-2024
5
2
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Recently, machine learning (ML) algorithms have proven to be highly effective tools for predicting structural damage. However, the data used in structural health monitoring often consists primarily of normal operational conditions or slight deviations from the original state, with a scarcity of data representing potentially dangerous conditions.
21p
viyamanaka
06-02-2025
2
1
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This study’s significance lies in its contribution to the academic discourse on the practical applications of blockchain and smart contracts in a specific regional context. It aims to provide actionable insights for businesses and policymakers, facilitating informed decisions to optimize supply chain processes, bolster competitiveness, and navigate the evolving market context efficiently.
8p
viyamanaka
06-02-2025
13
2
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This article deals with optimizing the shape of a bearing plate commonly found in mechanical engineering. The verification of the suitability of the newly optimized model will be done on the basis of a static simulation of the shape using Inventor Pro 2023 software.
7p
viyamanaka
06-02-2025
4
1
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This paper presents an analysis of the urban context of Ho Chi Minh City, addressing factors such as population distribution, land use, travel behavior, and the current state of transport infrastructure, to propose a BRT model optimized for the city’s specific conditions.
11p
viyamanaka
06-02-2025
7
2
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This paper presents a combined method utilizing FE analysis and MBD simulation for structural analysis in the time domain. The MBD model of the full vehicle is built with the object of the trailer frame transferred from the modal neutral file of the FE model.
11p
viyamanaka
06-02-2025
2
2
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This study examines cultural representation in the reading sections of an ELT textbook for 6th graders in Vietnam, employing two frameworks by Cortazzi & Jin (1999) and Moran (2001). The findings reveal that while the textbook attempts to cover a range of cultural sources and dimensions, it only skims the surface, with a predominant focus on source culture and a notable underrepresentation of target culture.
8p
tuetuebinhan000
23-01-2025
5
0
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The aim of this Master of Engineering (MEng) - Aerospace thesis is to study the structural response and failure of aerospace grade composites during exposure to fire. Key aspects of the research are to analyse the thermal and mechanical responses of laminates and sandwich composites in high temperature and fire environments, which result in softening and structural failure. The research is concentrated on carbon/epoxy laminates and sandwich composites, which are the most common composite materials used in aerospace structures.
209p
runthenight05
01-03-2023
14
3
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This project will investigate of the effects of applying scientific modes of analysis to the process of artistic production. Methodologies derived from the disciplines of classification and taxonomy will be used to examine the formal relationships between sculptural objects in respect to their conceptual and actual development. Evolutionary theory will be used as a model in this analysis. The project will investigate the complexity of the system and explore the effect of the intervention of scientific methods on artistic production.
296p
runthenight07
01-03-2023
14
3
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The objective of this research was to determine the role of neural feedback and muscle mechanics in the generation of physiological tremor oscillation. This research developed a neuromuscular model to simulate the individual and resulting oscillatory mechanisms of tremor. The oscillations found in EMG signal were also analysed empirically from EMG data from 54 subjects using Hilbert Transform and rectification to obtain the envelope of the signal. The time between rhythmical waveform patterns in the EMG signal, TC was found to be 78ms.
117p
runthenight07
01-03-2023
8
3
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Master's thesis of Design: Listening for design: urban sonic experience and the sonic identity model
In the last 10 years interest and activity in urban sonic design has expanded. The way we listen to, think about and understand sound determines the way we value, manage and design with it. However practitioners in the area would benefit from detailed forms of site documentation and analysis that go beyond physical sound measurement. This Masters explores the use of the Sonic Identity Model developed by Pascal Amphoux of CRESSON (the Centre for Research on Sonic Space and Urban Environment) in the early stages of urban sonic design.
162p
runthenight04
02-02-2023
11
2
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The rationale for this study is that the social enterprise sector provides an important locale in which to situate research that aims to identify the impact of ICTs on development. Recognising the complex dynamics and range of actors involved in this diverse and emerging area of development practice, this study chooses to focus on the social enterprise sector. It is specifically concerned with mapping the external influences, use and impact of ICT on social enterprises in Cambodia.
228p
runthenight04
02-02-2023
23
3
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The main objective of the study "Role of beliefs and past experience informing resort accommodation purchase behaviour : a study of Australian tourists" is: To segment the tourists using resorts in Australia; to propose a conceptual model which describes the factors that affect the travellers’ choice of resort hotels based on their beliefs along with the effect of past behaviour and; to test the model across the segments using multivariate data analysis techniques.
166p
runthenight04
02-02-2023
16
2
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The purpose of the thesis "An empirical analysis of firm innovation capability and performance of Indonesian ICT SMEs" is to explore the antecedents of innovation capability and firm performance of ICT SMEs within clusters in Jakarta and Bandung in Indonesia. A causal model was proposed and tested by using Partial Least Squares (PLS-SEM). Findings reveal that intellectual capital is a major contributor of innovation capability. Surprisingly, being spatially close in a specific location does not trigger firms to have innovation capability.
269p
runthenight04
02-02-2023
14
2
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This thesis aims at analysing EVFTA’s NTMs on garment and textile exports to the EU, providing insights into current situation of application of EVFTA’s NTMs on garment and textile exports, analysing impacts of EVFTA’s NTMs on garment and textile exports using the gravity model, pointing out opportunities and challenges for garment and textile industry from EVFTA’s NTMs using the SWOT matrix, and finally making suggestions for the government and businesses in the sector on the way forward.
118p
trangcam0906
12-12-2022
12
4
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This paper focuses on exploring Machine learning methods to automate this process. The main challenge we face is in generating adequate training datasets to train the Machine learning model. Creating training data by manually segmenting real images is very labour-intensive, so we have instead tested methods of automatically creating synthetic training datasets which have the same attributes of the original images. The generated synthetic images are used to train a U-net Model, which is then used to segment the original bread dough images.
75p
runordie3
06-07-2022
6
2
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