Taiwan Association of Engineering and Technology Innovation: E-Journals
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Innovative Approach to Enhance Stability: Neural Network Control and Aquila Optimization Integration in Single Machine Infinite Bus Systems
This paper highlights the need to improve the stability of single-machine infinite-bus (SMIB) systems, which is crucial for maintaining the dependability, efficiency, and safety of electrical power systems. The changing energy environment, characterized by a growing use of renewable sources and more intricate power networks, is challenging established stability measures. SMIB systems exhibit dynamic behavior, particularly during faults or unexpected load variations, requiring sophisticated real-time stabilization methods to avert power failures and provide a steady energy supply. This paper suggests a complex approach that combines power system stability analysis with a neural network controller enhanced by the Aquila optimization algorithm (AOA) to address the dynamic issues of SMIB systems. The study shows that the AOA-optimized neural network (AOA-NN) controller outperforms in avoiding disruptions and attaining speedy stabilization by exhaustively examining electrical, mechanical, and rotor dynamics. This method improves power system resilience and operational efficiency as demands and technology expand
Electromagnetic High-Frequency Transients Measurements of Some Household Devices
Voltage Transients are generated in power lines and emit both low-frequency electromagnetic fields and radio-frequency radiation. This study aims to highlight its existence and detrimental effects on human health. A comprehensive literature review is presented, encompassing studies by multiple authors exploring the topic of dirty electricity, its impact on well-being, and preventative measures. The electromagnetic spectrum analysis and measurements of both electric and magnetic fields are performed on various household appliances such as hair dryers, old televisions, blenders, heaters, toasters, vacuum cleaners, and microwaves. The findings indicates that microwaves and compact fluorescent lamps (CFL) bulbs exhibit similar spectral characteristics, with high-frequency voltage transients primarily originating from these two devices. Conversely, other appliances do not generate significant high-frequency voltage transients (HFVT). Overall, dirty electricity poses a substantial risk to human health and necessitates attention to minimize its adverse consequences
A Secure and Robust Data Transmission for 2 × 2 MIMO-OFDM System Using Subcarrier Randomization with Elliptical Curve Cryptography
This research proposes a method that randomizes the subcarrier as a physical layer security (PLS) in the Multiple-Input Multiple-Output Orthogonal Frequency Division Multiplexing (MIMO-OFDM) communication system, aiming to secure information data. The research procedure incorporates the Elliptic Curve Cryptography (ECC) algorithm during subcarrier randomization, including processes such as public key generation, encryption, and decryption, and compares these with the Rivest Shamir-Adleman (RSA) method. The proposed method is validated through real-time laboratory experiments, yielding significant results. The RSA algorithm’s average time is 6.73 and 53.21 seconds, while the ECC algorithm requires only 0.71 and 1.21 seconds for security bits of 80 and 112, respectively. The performance of bit error rate (BER) versus signal-to-noise ratio (SNR) is 0.123 times 10 to the power of negative 3, demonstrating that the subcarrier randomization and reconstruction system is successfully implemented and working correctly to ensure security based on the MIMO-OFDM system
Integration of Multiple Simulation Tools for Photovoltaic System Design and Analysis
This research aims to develop a photovoltaic (PV) project assessment method by integrating four simulation tools to maximize potential benefits from multidimensional scopes of projects. The proposed method combines output parameters and the cost databases of selected tools to overcome individual limitations by facilitating complementary strengths. Most simulations require more analytical results while using single or multiple tools separately. Also, it combines HelioScope, RETScreen, HOMER, and PVsyst software to simulate entire generation export, self-consumption, and impact of load shedding with sensitivity analysis. The method employs the capability of HelioScope to find maximum installation capacity based on available space, the carbon-trading feature of RETScreen, HOMER’s optimization, and PVsyst’s viability analysis. The results demonstrate that carbon trading shortens the project’s payback period while maximizing installation capacity and performance improvement by energy export with a stable capacity factor and performance ratio. The method proffers a promising technique for PV system assessment
Investigation of Cycling Performance in a Solid-State Fluoride-Ion Battery Based on Copper Fluoride Electrodes
This study investigates the performance and cycling fading of a solid-state fluoride-ion battery (FIB) based on the CuF2 electrode. The cathode and solid electrolyte of CuF2 composite and La0.9Ba0.1F2.9 are prepared by ball-milling. Meanwhile, the anode materials are used as Sn and Pb. All FIB cells with sandwich structures are fabricated by compressing under a pressure of 4.5 tons/cm2. Electrochemical measurements of discharge/charge are performed at 423 K and under 40 μA/cm2. The resultant cycling stability of the cell with the Pb anode is higher than that of the cell with the Sn anode. Concerning the cell with Pb anode, the first and tenth discharge capacities of 150 and 90 mAh/g are obtained. X-ray photoelectron analysis demonstrates that the cycling fading of the cell with the Sn (or Pb) anode may be attributed to the irreversible formation of materials (e.g., SnF4 or PbF4) during the electrochemical reaction
Quantitative Shaking Evaluation of Bracing-Strengthened and Base-Isolated Buildings Using Seismic Intensity Level
In current design practice, the seismic strength design of buildings is commonly based on the strength concept, lacking a quantitative evaluation tool that can show the performance of the buildings during earthquakes. This paper demonstrates the application of seismic intensity level (SIL) as a quantitative evaluation tool for aseismic building performance. A simulation test is conducted on three categories of building-frame: non-strengthened (NA), bracing-strengthened (BS), and base-isolated (BI), subjected to a north-south (N-S) 1940 El Centro seismic wave. The criteria evaluated include maximum acceleration, energy dissipation, and the measured seismic intensity level (m-SIL). The effect of strengthening methods is compared based on those criteria. The results show that despite the apparent reduction in structural response metrics, the SIL value diminishes more substantially for base isolators (4.5 level decrease) than bracing (0.4 level decrease). This confirms that SIL provides higher consistency results and is straightforward to comprehend
An Intelligent E-Pharmacopoeia Retrieval System Using Responsive Web Design
To develop an e-pharmacopeia retrieval mobile system aimed at assisting medical personnel in efficiently assessing precise drug information and ensuring patient safety, this study utilized responsive web design. The research framework incorporated the convergence of the technology acceptance model (TAM) and the information systems success model (ISSM) to investigate user satisfaction and continuance intention. A survey was administered to 151 pharmacy students who had utilized the system for over 30 minutes. The findings revealed that the TAM-ISSM model significantly influenced user satisfaction, surpassing the individual impacts of TAM and ISSM. Furthermore, user satisfaction exhibited a positive and significant impact on continuance intention, which, in turn, demonstrated a positive and significant influence on both individual and organizational performance. This suggests that the proposed system is proficient in accurately identifying and processing drugs, thereby mitigating the pain induced by diseases in patients
Carbon Dioxide Capture Performance of Mesostructured Adsorbent Impregnated with Polyethylenimine
This study aims to investigate the CO2 uptake performance of mesostructured adsorbents, such as Mobil Composition of Matter No. 41 (MCM-41), Santa Barbara Amorphous-15 (SBA-15), and multi-walled carbon nanotubes (MWNTs), modified with polyethylenimine (PEI). Mesoporous materials are loaded with 50 wt.% PEI using a wet impregnation method. CO2 kinetic experiments of the PEI-modified adsorbents are conducted by a thermogravimetric method. The results reveal that the CO2 adsorption capacities of the PEI/MCM-41, PEI/SBA-15, and PEI/MWNTs composites are 2.02, 3.06, and 2.93 mmol/g, respectively, under 15% CO2 flow at 348 K. The lower CO2 adsorption capacity of PEI/MCM-41 (2.02 mmol/g) is attributed to its poor porosity. The PEI/MWNTs composite has the fastest CO2 adsorption and desorption kinetics at the same temperature, compared to other PEI-modified adsorbents. These results suggest that MWNTs might play a significant “separator” role in effectively dispersing the PEI molecular chains on the mesostructured adsorbent
An NFT Marketplace for Graphic Artists in Bicol Region
Non-fungible tokens (NFTs) are gaining popularity in the market, but graphic artists in the Bicol Region face challenges in marketability, resource allocation, and determining the best features of existing NFT marketplaces. The study aims to examine these issues and create an original NFT web platform in the Bicol Region that incorporates blockchain technology, a cryptocurrency, and a decentralized wallet. Users can earn up to US$91.8 million in a single NFT artwork when NFT products are sold. The system uses software development methodology and a design thinking process to help the researcher develop a system that benefits the graphic artists in Bicol. Users can mint, list, bid, sell, and purchase NFTs, and transactions are recorded in a blockchain with unique transaction identities. After the development of the system, vital information will be provided, such as more substantial information for readers interested in the NFT blockchain and may improve their knowledge about it
A Study of Acoustic Parameters of Transformer Oil Based on Its Water Content Utilizing a Single Ultrasonic Sensor
The health of a transformer is affected by several aspects, including water content in transformer oil. Researchers have introduced various techniques for measuring water content in transformer oil. In the case of acoustical measurement, researchers typically utilize two ultrasonic sensors to detect acoustical parameters. This study proposes a novel technique to characterize transformer oil based on its water content using a single ultrasonic sensor. This technique employs an indirect measurement approach, where a substrate separates the oil from the sensor. The echoes from measurements are observed and presented in terms of three acoustical parameters, i.e., the acoustic speed, acoustic impedance, and density. Based on measurement results, the acoustic speed of the samples is successfully calculated from the time of flight. and the thickness of the chamber. However, only four materials used as substrate 1, i.e., 3mm, 5mm, 8mm acrylic, and 3mm glass, successfully produce similar plots of acoustic impedance and density