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National Conference on Radio Science (NSRC)

作者： Mohamed N. Salem Mohamed I. Ahmed Amr H. Hussein Department of Electronics and communication Engineering Institute of Aviation Engineering and Technology (IAET) Giza Egypt Microstrip department Electronics Research Institute El-Nuzha Cairo Electronics and Communication Program Faculty of Engineering Egypt University of informatics New Administrative Capital Knowledge City Egypt Electronics and Electrical Communications Engineering Dept. Faculty of Engineering Tanta University Tanta Egypt Electronics and Electrical Communications Engineering Department Faculty of Engineering Horus University Egypt New Damietta Egypt

This paper showcases the development of a wideband Dual-polarized horn antenna for mm-wave applications. It can be used for reflector feeding, imaging, satellite communication and power transmission due to its enhanced parameters. The working bandwidth is 10 GHz from 4 GHz to 14 GHz (VSWR $\lt1.9)$. This design is formed of three parts: 1) the waveguide is designed to support the entire bandwidth and to improve the impedance matching 2) four ridges to enable Dual-polarized antenna 3) the flared part is corrugated to enhance the side lobe level (SLL). The insertion between the two ports is less than -25 dB for most frequencies. The SLL is less than -25 dB for the low frequencies and -30 dB for the high frequencies. The co- and cross-pol radiation pattern simulation shows that the cross-pol magnitude is 20-30 dB less than the co-pol magnitude. These results have been proved using the CST MWS and Ansys HFSS software.

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Optimizing Battery Consumption for Android-based Automatic Identification System (AIS) Application for Indonesian Fishermen 11

Optimizing Battery Consumption for Android-based Automatic I...

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11th International Conference on Electrical engineering, Computer Science and Informatics, EECSI 2024

作者： Arleiny, Arleiny Arfianto, Afif Zuhri Supriyanto, Eko Maulidi, A.K.H. Suwandi, Bondan Kurniawan Bokau, Joe Ronald Program Studi Nautika Politeknik Pelayaran Surabaya Surabaya Indonesia Politeknik Perkapalan Negeri Surabaya Dept. of Marine Electrical Engineering Surabaya Indonesia Politeknik Negeri Semarang Dept. of Electrical Engineering Semarang Indonesia Politeknik Negeri Madura Safety Engineering Technology Sampang Indonesia Indonesia & Research Center for Electronics National Research and Innovation Agency Jakarta Indonesia Prodi Nautika Politeknik Pelayaran Barombong Makassar Indonesia

ISBN: (纸本)9798350355314

Fishing is integral to Indonesia's economy and the livelihood of many citizens. Indonesian fishermen often spend long periods at sea with limited access to power, making energy efficiency crucial for mobile applications, especially those used for navigation and safety. AIS is vital for maritime navigation, providing real-time information on vessel locations, weather, and emergencies. However, high battery consumption can cause AIS apps to fail when needed most. This study aims to optimize battery consumption for a mobile app used by Indonesian fishermen by implementing techniques like batch data transmission, efficient background task management, and optimized location services. The effectiveness of these techniques was evaluated based on key performance indicators such as battery usage, latency, data transmission, and task completion rates. The results show a significant reduction in average battery usage from 3000 mAh to 2000 mAh and improved application performance with latency decreasing from 150 ms to 120 ms. Data transmission reduced by 10% and task completion rates increased from 85% to 95%. Further analysis revealed that Wi-Fi networks are more energy-efficient than cellular networks, with average battery usage of 1800 mAh compared to 2200 mAh. Enhancing the energy efficiency of mobile applications is crucial for users in remote areas with limited power resources. The implemented techniques improved the reliability and efficiency of the AIS application, thereby enhancing the safety and operational effectiveness of Indonesian fishermen at sea. © 2024 IEEE.

关键词： Fisheries

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2D Polynomial Regression Modeling for Predictive Analysis of Glucose Concentration in NP-Model Fractal Microwave Sensor Using Frequency and Transmission Coefficient Disparities

2D Polynomial Regression Modeling for Predictive Analysis of...

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International Electrical engineering Congress (iEECON)

作者： Nutyada Nantapanich Pisit Mahatthanajatuphat Norakamon Wongsin Wilaiporn Lee Department of Electronics and Telecommunication Engineering Faculty of Engineering Rajamangala University of Technology Thanyaburi Pathum Thani Thailand Regular Program in Mathematics-Science Yothinburana School Bangkok Thailand Department of Electrical and Computer Engineering Faculty of Engineering King Mongkut's University of Technology North Bangkok Bangkok Thailand

ISBN: (数字)9798331543952

ISBN: (纸本)9798331543969

The article introduces a two-dimensional polynomial regression model for the predictive analysis of glucose concentration in a fractal microwave sensor NP model, utilizing frequency and transmission coefficient differences to examine their correlation with glucose concentration levels. The sensor employed in this investigation is fabricated on an economical FR-4 substrate to minimize costs. The sensor structure is developed with the fractal structure reduction method established by the NP model to operate at a frequency of roughly 2.97 GHz. The CST Studio software is utilized to analyze the findings from the simulation of the suggested sensor structure. Furthermore, the proposed sensor is integrated into a test apparatus comprising a sensor platform and a liquid tube constructed from PPA material. The liquid under examination is a glucose and water mixture at varying concentrations. It was analyzed using a VNA instrument to evaluate its frequency response and the magnitude of the alteration in the transmission coefficient. The values are utilized to create a two-dimensional polynomial regression model. The experiments demonstrated that the proposed sensor model possesses an Adjusted R² value of 0.99499 and an average error of approximately 3.57% for glucose concentration analysis throughout the range of 5% to 30%, with sensitivities of 0.00879 dB/% for insertion loss and 0.092 MHz/% for frequency variation, facilitating accurate glucose concentration prediction analysis.

关键词： Analytical models Adaptation models Correlation Liquids Predictive models Microwave sensors Polynomials Fractals Glucose Predictive analytics

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2D Polynomial Regression Modeling for Predictive Analysis of Glucose Concentration in NP-Model Fractal Microwave Sensor Using Frequency and Transmission Coefficient Disparities

2D Polynomial Regression Modeling for Predictive Analysis of...

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13th International Electrical engineering Congress, iEECON 2025

作者： Nantapanich, Nutyada Mahatthanajatuphat, Pisit Wongsin, Norakamon Lee, Wilaiporn Rajamangala University of Technology Thanyaburi Faculty of Engineering Department of Electronics and Telecommunication Engineering Pathum Thani Thailand Yothinburana School Regular Program in Mathematics-Science Bangkok Thailand King Mongkut's University of Technology North Bangkok Faculty of Engineering Department of Electrical and Computer Engineering Bangkok Thailand

ISBN: (纸本)9798331543952

关键词： Polynomial regression

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Wide Temperature Range and High Thermal Sensitivity Radiometer Image Sensor Using CMOS SPAD Array

Wide Temperature Range and High Thermal Sensitivity Radiomet...

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2022 International Symposium on VLSI technology, Systems and Applications, VLSI-TSA 2022

作者： Tsai, Hui-Chen Liu, Chun-Hsien Lin, Sheng-Di Tsai, Chia-Ming Wu, Jau-Yang National Yang Ming Chiao Tung University Institute of Electronics Hsinchu Taiwan National Yang Ming Chiao Tung University Undergraduate Degree Program of Systems Engineering and Technology Hsinchu Taiwan

ISBN: (纸本)9781665409230

We demonstrate a wide temperature range and high thermal sensitivity radiometry image sensor by using a 32x32 pixels SPAD imager sensor with a time gated active reset circuit. The temperature range with upper limit of 1050 °C and lower limit of 280 °C can be detected with low noise, thanks to the high sensitivity performed by short deadtime and adjustable summed output of multi-pixel readout technology. The thermal image is detected with high spatial resolution of about 100 µm. © 2022 IEEE.

关键词： Image sensors

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The Impact of Hot Carrier Injection-Induced Device Degradation for Lower-Power FinFETs

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Journal of Electronic Materials 2023年第2期52卷 1391-1399页

作者： Chen, Yu-Lin Yeh, Wen-Kuan Hsu, Heng-Tung Chen, Ke-Horng Lien, Der-Hsien Lin, Wen-Chin Yu, Tien-Han Chiu, Yu-Sheng Godwinraj, D. Godfrey, D. Wu, Chien-Hung International College of Semiconductor Technology National Yang Ming Chiao Tung University Hsinchu Taiwan Graduate Degree Program of College of Electrical and Computer Engineering National Yang Ming Chiao Tung University Hsinchu Taiwan Institute of Electronics National Yang Ming Chiao Tung University Hsinchu Taiwan Institute of Microelectronics National Cheng Kung University Tainan Taiwan Department of ECE Amal Jyothi College of Engineering Kerala Kottayam India Department of Optoelectronics and Materials Engineering Chung Hua University Hsinchu Taiwan Department of Electronics and Communication Engineering Dayananda Sagar University Bengaluru India National Applied Research Laboratories Hsinchu Taiwan

The impact of hot carrier injection (HCI) on the performance of standard and low-VT FinFETs are investigated and benchmarked with each other. For this investigation, these FinFETs were fabricated with various gate lengths (L) from 16 to 36 nm. HCI-induced transconductance degradation in standard devices for gate length variations of 36 nm down to 16 nm was 75%, while it was 35% for low-VT devices. Similarly, the degradation of threshold voltage in standard devices for gate length variations of 36 nm down to 16 nm was 39%, while it was 36% for low-VT device. In this work, as the device is subject to HCI, we found that: (1) short-channel devices cause severe degradation on the threshold voltage and transconductance (gm) compared to long-channel devices, owing to the higher electric field for short-channel devices at the gate edge, (2) standard devices exhibit a more stable threshold voltage than that of low-VT power devices, since the TiN barrier layer prevents Al atom diffusion into the HfO2 layer, and (3) the transconductance efficiency of standard devices is better than that of low-VT power devices. Further, the lower-VT devices show lower transconductance degradation than standard devices. However, the transconductance degradation of the long-channel standard and low-VT devices are the same. Compared to short-channel low-VT devices, extended-channel standard devices are more immune to the HCI effect. © 2022, The Minerals, Metals & Materials Society.

关键词： Threshold voltage

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Compact Complementary Split Ring Resonator Based Sensor for Non-Invasive Glucose monitoring

Compact Complementary Split Ring Resonator Based Sensor for ...

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Telecommunications Conference (ITC-Egypt), International

作者： Adnan Zahran Youssif Ayman Aly Angie R. Eldamak Dalia N. Elsheakh Electronics and Communication Systems Engineering Program Faculty of engineering Ain Shams University Cairo Egypt Electronics and Communication Systems Engineering Dept. Faculty of engineering Ain Shams University Cairo Egypt Electrical Dept. Faculty of Engineering and Technology Badr University in Cairo Badr City Cairo Egypt

ISBN: (数字)9798350351408

ISBN: (纸本)9798350351415

This paper presents a novel approach for noninvasive glucose monitoring using a Compact Complementary Split Ring Resonator (CCSRR) based sensor. The sensor design is initially simulated using High-Frequency Structure Simulator (HFSS) software, and then experimental validation is done. We carried out simulations with and without a finger phantom model to closely resemble conditions in real situations. The sensor exhibits high sensitivity and accuracy in detecting glucose concentrations within blood samples. Vector Network Analyzer was used along with the sensor to validate the simulation results. The results demonstrate close agreement between simulation and experimental data, affirming the effectiveness of the proposed sensor design for non-invasive glucose monitoring.

关键词： Sensitivity Split ring resonators Fingers Phantoms Network analyzers Vectors Glucose

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Effect of White Noise on Working Memory Using Event-Related Potentials

Effect of White Noise on Working Memory Using Event-Related ...

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Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA)

作者： Seung-Won Lee Jun-Seok Lee Han-Jeong Hwang Department of Electronics and Information Engineering Korea University Sejong Korea Interdisciplinary Graduate Program for Artificial Intelligence Smart Convergence Technology Korea University Sejong Korea

ISBN: (数字)9798350367331

ISBN: (纸本)9798350367348

We investigated the effect of white noise on working memory performance using electroencephalography (EEG). Six healthy subjects participated in this study, and each subject performed a 2-back task under white noise and no sound conditions. After a series of EEG preprocessing, the amplitude of event-related potential (ERP) was calculated. The results indicated an increase in average accuracy and mean P300 amplitude during the white noise condition compared to without it, suggesting that white noise might enhance working memory performance. However, due to the limited number of participants, statistical power was not attained. In our future studies, we will perform additional experiments with more subjects.

关键词： Electric potential Accuracy Asia Information processing White noise Electroencephalography

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Clustering Analysis of a Spatiotemporal Dataset with a Novel Kernel Density Estimator

Clustering Analysis of a Spatiotemporal Dataset with a Novel...

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2023 International Conference on Machine Learning and Cybernetics, ICMLC 2023

作者： Yu, Jen-Chien Yang, Chun-Chieh Gilbert, John Reuben Liu, Rou-Jun Oyang, Yen-Jen Yang, Meng-Han National Kaohsiung University of Science and Technology Department of Computer Science and Information Engineering Kaohsiung City807618 Taiwan National Taiwan University Master Program in Statistics Taipei106216 Taiwan National Taiwan University Department of Computer Science & Information Engineering Taiwan Graduate Institute of Biomedical Electronics and Bioinformatics National Taiwan University Taiwan

ISBN: (纸本)9798350303780

A vast number of spatiotemporal datasets collected from a wide range of sources has motivated scientists to develop effective approaches to identify interesting patterns hidden in these datasets. In this respect, kernel density estimators, which belong to a class of non-parametric estimators in statistics, have been widely exploited in recent years. With this background, we have developed a novel kernel density estimator aiming to provide accurate analysis results. According to the evaluation with a real spatiotemporal dataset, which collected emergency medical service records in a county in the United States, the proposed kernel density estimator can approximate the probability density function significantly more accurately than a conventional kernel density estimator. Furthermore, we have exploited the proposed kernel density estimator to identify interesting patterns hidden in the real spatiotemporal dataset. © 2023 IEEE.

关键词： Probability density function

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Thermodynamic and Environmental Assessment of Low-GWP Alternative Refrigerants for Domestic Cooling

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Journal of The Institution of Engineers (India): Series C 2023年第2期104卷 377-383页

作者： Islam, Md. Amirul Rupam, Tahmid Hasan Hosan, Shahadat Saha, Bidyut Baran Institute for Materials Chemistry and Engineering Kyushu University Kasuga-Koen 6-1 Kasuga-Shi Fukuoka816-8580 Japan Department of Electrical and Electronics Engineering Bangabandhu Sheikh Mujibur Rahman Science and Technology University Gopalganj8100 Bangladesh Kyushu University 744 Motooka Nishi-Ku Fukuoka819-0395 Japan Kyushu University Program for Leading Graduate School Green Asia Education Center Kyushu University Fukuoka Japan Department of Mechanical Engineering Kyushu University 744 Motooka Nishi-Ku Fukuoka819-0395 Japan

Nearly two billion air-conditioning (AC) units are currently being used for space cooling worldwide. The majority of these ACs use R134a as the working fluid, a greenhouse gas (GHG) with a global warming potential (GWP) of 1300 kg-CO2-eq. According to the rules set by the world environment safety organizations, the GWP of domestic air-conditioning systems must not exceed 750 kg-CO2-eq. Hence, the R134a must be phased out by 2025, and an alternative refrigerant with similar thermodynamic properties yet low GWP is required. Therefore, the authors have investigated several potential binary/ternary refrigerant blends in this study. Among the studied refrigerants, R445A, R30A, and NPB2 (newly proposed blend: 8% R152a + 92% R1234yf) can reduce 90–99% global warming impact (more than 200 million tonnes of CO2 emission equivalent) caused by the domestic air-conditioning systems every year. © 2023, The Institution of Engineers (India).

关键词： Refrigerants

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