Laser Beacon Tracking for High-Accuracy Attitude Determination by Nguyen, Tam, Cahoy, Kerri

“…The end-to-end simulation includes a laser link radiometry model, hardware model, atmospheric scintillation model, and sky radiance model at the beacon wavelength. …”
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The structural, mechanical, and biological variation of silica bioglasses obtained by different sintering temperatures by Sarmast Sh, M., Dayang Radiah, A. B., Hoey, D. A., Abdullah, N.

“…These findings highlight the potential of fine-tuning the sintering temperature to modulate the crystallinity of bioglasses, thereby enhancing their application scope in bone tissue engineering.…”

Structural insights into cold-active lipase from Glaciozyma antarctica PI12: AlphaFold2 prediction and molecular dynamics simulation by Matinja, Adamu Idris, Ahmad Kamarudin, Nor Hafizah, Leow, Adam Thean Chor, Oslan, Siti Nurbaya, Mohamad Ali, Mohd Shukuri

“…Cold-active lipase applications are now growing in the detergency, synthesis of fine chemicals, food processing, bioremediation, and pharmaceutical industries. …”

Modelling and frequency response analysis of permanent magnet synchronous machine with battery energy storage system by Henri

“…This project researches on the dc-link side of the double-star PMSM drive with battery energy storage system. …”
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Finite element analysis on post-buckling of thin-walled structures using ANSYS by Theint, Yi Mon

“…The results obtained were checked against experimental data and led to the development and the revision of design procedures for the pin-ended lipped column and hollow box section.…”
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Cordic core based quantum readout processing block design on FPGA by Cao, Hongyu

“…The accurate readout of qubits is a key link to achieve efficient quantum computing, so it is particularly important to design an efficient quantum readout processing module. …”
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Soil-water characteristic curves of hydrophobic sand by Tan, Nicole Shi Qi

“…In this project, the effect of hydrophobicity is investigated using fine and coarse sands. Fine sand was made hydrophobic and mixed with either fine or coarse sand such that sand mixtures of hydrophobicity 20%, 50% and 80% by mass were obtained. …”
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Automated teller machines in Singapore by Soh, Yong Chee, Phua, Alice Loo Huay, Tan,Yang Leng

“…Activation of ATMs can also be enhanced by substituting the present A TM card and PIN system with either voice recognition, retina recognition or thumbprints. …”
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Design and Implementation of Active Antennas for IoT-Based Healthcare Monitoring System by MUSA, UMAR, MOHD SHAH, SHAHARIL, A. MAJID, HUDA, AHMAD MAHADI, ISMAIL, A. RAHIM, MOHAMAD KAMAL, YAHYA, MUHAMMAD SANI, ZAINAL ABIDIN, ZUHAIRIAH

“…Two dual-band (2.4 GHz and 5.8 GHz) microstrip patch antennas, one with a PIN diode and one without, are fabricated using Rogers Duroid RO3003™ substrate. …”
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Design and Implementation of Active Antennas for IoT-Based Healthcare Monitoring System by MUSA, UMAR, MOHD SHAH, SHAHARIL, A. MAJID, HUDA, MAHADI, ISMAIL AHMAD, A. RAHIM, MOHAMAD KAMAL, YAHYA, MUHAMMAD SANI, ZAINAL ABIDIN, ZUHAIRIAH

“…Two dual-band (2.4 GHz and 5.8 GHz) microstrip patch antennas, one with a PIN diode and one without, are fabricated using Rogers Duroid RO3003™ substrate. …”
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Hybrid free space optics/radio frequency communication for next generation wireless networks by Sharma, Shubha

“…Therefore, to improve the performance of FSO links, it is wise to backup with reliable millimeter-wave (MMW) radio frequency (RF) links. …”
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Human machine interface/brain control for electric vehicles application by Tang, Tao

“…Secondly, the same design methodology is extended to a 16-channel TDM/CS AFE with tunable DC-servo loop and fine-trimming input impedance boosting loop. A 4-bit calibrated impedance boosting loop contributed to the input impedance of 560 MΩ as well as CMRR for input interface. …”
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Privacy-preserving graph representation learning by Lan, Xin

“…Graph neural networks in particular, as a novel kind of link prediction method, can extract hidden link information from accessible network data in the field of link prediction. …”
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Investigation of the contribution of bioaerosol loading to indoor PM pollution on university campus in Singapore by Lee, Brandon Jia Hao

“…Fine particles could be mitigated safely for occupants with an electrostatic precipitator and future work could expound on elevated fungi concentrations in an indoor environment and fine particle mitigation strategies.…”
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Interpreting learned feedback patterns in large language models by Marks, L, Abdullah, A, Neo, C, Arike, R, Krueger, D, Torr, P, Barez, F

“…To test this, we train probes to estimate the feedback signal implicit in the activations of a fine-tuned LLM. We then compare these estimates to the true feedback, measuring how accurate the LFPs are to the fine-tuning feedback. …”

Plasmonic semiconductor nanogroove array enhanced broad spectral band millimetre and terahertz wave detection by Tong, Jinchao, Suo, Fei, Zhang, Tianning, Huang, Zhiming, Chu, Junhao, Zhang, Dao Hua

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The inference-boundary model reinterpreting theme and rheme by Leong, Ping Alvin

“…The Hallidayan notions of theme and rheme pose an interesting challenge to linguists in their attempts to pin them down more specifically. This paper argues that since the thematic structure of the clause organises it as a message, a useful starting point in theme–rheme research is an understanding of how clausal messages are typically processed by language users. …”
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Optimization Algorithms for Multi-species Spherical Spin Glasses by Huang, Brice, Sellke, Mark

“…We first show how to efficiently achieve the algorithmic threshold energy identified in our companion work (Huang and Sellke in arXiv preprint, 2023. <jats:ext-link xmlns:xlink="http://www.w3.org/1999/xlink" ext-link-type="uri" xlink:href="http://arxiv.org/abs/2303.12172">arXiv:2303.12172</jats:ext-link>), thus confirming that the Lipschitz hardness result proved therein is tight. …”
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Genetic algorithm based deep learning model adaptation for improvising the motor imagery classification by R, Vishnupriya, Robinson, Neethu, M, Ramasubba Reddy

“…Transfer learning methods such as adaptation or fine-tuning can be used on the pre-trained model to improve the performance. …”
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Smart home control system design using internet of things based energy harvesting technology by Silalahi, Lukman Medriavin, Indrawan, Muhammad Rafi, Budiyanto, Setiyo, Hanafi, Dirman, Abdul Hamid, Abdul Hamid, Ronaldo, Davit

“…The objective of this research is to provide security for homeowners by facilitating fingerprints and PIN (Personal Identification Numbers) in entering the house, then in the event of a power outage, it activates the function of energy harvesting technology. …”
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