Taiwan Association of Engineering and Technology Innovation: E-Journals
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Finite Element Analysis of a Novel Tensegrity-Based Vibratory Platform
Get PDFThe study aims to conduct the finite element analysis (FEA) of a novel tensegrity-based vibratory platform by using IronCAD software. and analyze its deformation under external forces to verify if the platform can generate the required advancing motion. Firstly, the structure and operating principles of the proposed platform are introduced. Subsequently, individual parts are created using IronCAD software and assembled to form a solid model of the entire platform. Finally, employing Multiphysics for IronCAD, FEA is conducted to analyze the platform’s displacement under different external forces, as well as to examine its natural frequencies and mode shapes. The simulation results indicate that the proposed platform effectively moves a part in a specified direction. Additionally, the maximum stress remains below the yield strength. Moreover, the mode shapes corresponding to the initial 3 natural frequencies contribute to the advancing motion
Grid Operation and Inspection Resource Scheduling Based on an Adaptive Genetic Algorithm
Get PDFGrid operation and inspection a key links to ensure the safe operation of the power system, which requires efficient task allocation and resource scheduling. To address this problem, this paper proposes a resource scheduling model for grid operation and inspection based on bi-level programming. Firstly, the O&I process is analyzed and defined as a combined optimization problem of the multiple traveling salesman problem (MTSP) and the job-shop scheduling problem (JSP). Secondly, a bi-level programming model of MTSP and JSP is established according to the characteristics of the problem. Finally, an adaptive genetic algorithm is used to solve the problem. The feasibility of the model and the advancement of the algorithm are verified through the simulation of real scenarios and a large number of tests, which provide strong support for the sustainable development of the power system
Optimizing Seismic Design of Multi-Tower Buildings Using Sky Bridge Isolation and BIM: A Case Study
Get PDFThis research aims to extend prior knowledge of sky bridge isolations in a design case study that complies with building codes, focusing on the design of a multi-tower building linked with a sky bridge and its isolation system. Building Information Modeling (BIM) is used during the design process. Linear time history analysis is performed to capture seismic responses without statistical distortion of response combinations. Link elements are used to simulate the isolations, and the ground motions are excited in bidirectional directions. The experimental results demonstrate that using an isolation system at the sky bridge connection improves torsional behavior, as evidenced by a 12% reduction in torsional mass contribution in the fundamental mode shape of the buildings. Other notable improvements include better lateral force distributions and optimization of reinforcement volume by 36.91% at maximum. Additionally, convenient post-design procedures, such as automated design visualizations and quantity surveys of reinforcements are reported through using BIM
A Review of Security Methods in Light Fidelity Technology
Get PDFLight fidelity (Li-Fi) technology is a communication technology using visible light. Li-Fi technology solves the problem of radio frequency bandwidth shortage in wireless fidelity (Wi-Fi) and is more secure considering the wall is impenetrable to the light. However, an exception can be made if a vulnerability emerges when having indoor communication, and the wall leak may induce the hacker to attack the network. Thereby, the encryption data is needed in one or all layers of Li-Fi technology to secure data. This paper presents a review of security threats that need to secure data when using Li-Fi technology to transfer data, and the used methods to secure data in Li-Fi technology are elaborated. A descriptive analysis is also used for related work. As a result, the challenges in Li-Fi technology with encryption used in one of those layers of Li-Fi technology are identified
Synergistic Application of Particle Swarm Optimization and Gravitational Search Algorithm for Solar PV Performance Improvement
Get PDFThis study aims to optimize photovoltaic systems by developing a novel hybrid metaheuristic approach for maximum power point tracking (MPPT). The proposed method eclectically combines particle swarm optimization (PSO) and gravitational search algorithm (GSA) to overcome individual limitations and leverage complementary strengths. PSO, while surpassing in exploration, may suffer from premature convergence. GSA demonstrates strong exploitation capabilities but can struggle with slow convergence. A simulation model is developed to evaluate the hybrid algorithm’s performance in optimizing PV systems’ duty cycle. The approach utilizes the exploitation capabilities of PSO and GSA to navigate the search space effectively. Results demonstrate that the hybrid algorithm outperforms traditional techniques and standalone metaheuristics, achieving improved convergence time, faster settling time, and enhanced MPPT tracking efficiency. Under varying irradiance conditions, the proposed method consistently delivers higher power generation and improved overall PV system efficiency, offering a promising solution for optimizing PV systems and maximizing energy generation
Machine Learning for Water Quality Index Forecasting
Get PDFThis study aims to forecast water quality in the Tumkur district, Karnataka state, India, to increase pollution levels. Various machine learning techniques, including support vector machines, regression trees, linear regression, and neural networks, are employed. The Water Quality Index (WQI) is determined using parameters such as total hardness, pH, alkalinity, turbidity, chloride, dissolved solids, and conductivity. The dataset is split into training and testing sets (80:20) to assess model performance. Support Vector Machines and Linear Regression outperform other models, achieving R2 values of 0.96 and 0.99 for training and testing, respectively. This research underscores the importance of advanced machine learning techniques for accurate water quality prediction, crucial for effective pollution reduction strategies in the region
A Bi-Directional GRU Architecture for the Self-Attention Mechanism: An Adaptable, Multi-Layered Approach with Blend of Word Embedding
Get PDFSentiment analysis (SA) has become an essential component of natural language processing (NLP) with numerous practical applications to understanding “what other people think”. Various techniques have been developed to tackle SA using deep learning (DL); however, current research lacks comprehensive strategies incorporating multiple-word embeddings. This study proposes a self-attention mechanism that leverages DL and involves the contextual integration of word embedding with a time-dispersed bidirectional gated recurrent unit (Bi-GRU). This work employs word embedding approaches GloVe, word2vec, and fastText to achieve better predictive capabilities. By integrating these techniques, the study aims to improve the classifier’s capability to precisely analyze and categorize sentiments in textual data from the domain of movies. The investigation seeks to enhance the classifier’s performance in NLP tasks by addressing the challenges of underfitting and overfitting in DL. To evaluate the model’s effectiveness, an openly available IMDb dataset was utilized, achieving a remarkable testing accuracy of 99.70%
Calculation of Temperature-Dependent Thermal Expansion Coefficient of Metal Crystals Based on Anharmonic Correlated Debye Model
Get PDFThis study aims to calculate the anharmonic thermal expansion (TE) coefficient of metal crystals in the temperature dependence. The calculation model is derived from the anharmonic correlated Debye (ACD) model that is developed using the many-body perturbation approach and correlated Debye model based on the anharmonic effective potential. This potential has taken into account the influence on the absorbing and backscattering atoms of all their nearest neighbors in the crystal lattice. The numerical results for the crystalline zinc (Zn) and crystalline copper (Cu) are in agreement with those obtained by the other theoretical model and experiments at several temperatures. The analytical results show that the ACD model is useful and efficient in analyzing the TE of coefficient of metal crystals
A Study on the Risk Probability of Risk Mitigation Alternatives at Non-Compliance Airport with Runway Strip Criteria
Get PDFA runway strip is defined as the surface surrounding a runway established or suitable for reducing the risk of damage to aircraft in the event of a runway excursion. This study aims to implement the RSARA and LRSARA models at an airport not meeting the runway strip dimension criteria required by standards for aerodrome physical characteristics. The airport is considering alternatives to secure the runway strip criteria such as the displaced threshold and runway length extension, which is predicted to reduce the runway excursion probability. As the results of this study, it was discovered that the risk probability increases with the increases of the displaced runway distance due to relatively reduced runway length. Therefore, a reduced runway length to meet runway strip criteria may not be the most effective risk mitigation alternative, and it should be acknowledged that such a strategy can harm aviation Safety
Design and Performance Analysis of Band Pass Filter Using Frequency Selective Surface for 5G Communication
Get PDFIn recent years, frequency selective surfaces (FSSs) have been extensively investigated in terms of their design and practical applications at microwave and optical frequencies. This study proposes a new design of a FSS layer, which is directly placed over the surface of an antenna to enhance its characteristics such as directivity, frequency selectivity, radiation efficiency, and gain. In the proposed design, two different substrates are used to analyze the improved performance of the FSS layer. For this purpose, FR-4 Epoxy and Duroid 5880 are used for cost effectiveness and to achieve the optimized performance of the antenna. The simulated and measured results are in good agreement, indicating the enhanced performance of antenna for WLAN and WiMAX applications. Finally, it is concluded that the proposed FSS layer ensures the best possible results of the filtering response as the first null gives divergence of more than 10 dB with its peak value layer