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arXiv 2023年

作者： Nobile, Nicholas A. Lian, Chuanyu Sun, Hongyi Huang, Yi-Siou Mills, Brian Popescu, Cosmin Constantin Callahan, Dennis Hu, Juejun Ríos Ocampo, Carlos A. Youngblood, Nathan Electrical & Computer Engineering Department The University of Pittsburgh PittsburghPA15213 United States Department of Materials Science & Engineering University of Maryland College ParkMD20742 United States Institute for Research in Electronics & Applied Physics University of Maryland College ParkMD20742 United States Department for Materials Science & Engineering Massachusetts Institute of Technology CambridgeMA02139 United States Draper Scholar Program The Charles Stark Draper Laboratory Inc CambridgeMA02139 United States The Charles Stark Draper Laboratory Inc CambridgeMA02139 United States

Bragg gratings offer high-performance filtering and routing of light on-chip through a periodic modulation of a waveguide’s effective refractive index. Here, we model and experimentally demonstrate the use of Sb2Se3, a nonvolatile and transparent phase-change material, to tune the resonance conditions in two devices which leverage periodic Bragg gratings—a stopband filter and Fabry-Perot cavity. Through simulations, we show that similar refractive indices between silicon and amorphous Sb2Se3 can be used to induce broadband transparency, while the crystalline state can enhance the index contrast in these Bragg devices. Our experimental results show the promise and limitations of this design approach and highlight specific fabrication challenges which need to be addressed in future implementations. © 2023, CC BY.

关键词： Refractive index

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Reconstructing Suspended Sediment Concentrations in the Mekong River Basin Via Semi-Supervised-Based Deep Neural Networks

SSRN

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SSRN 2024年

作者： Nguyen, Thi-Thu-Ha Vu, Duc Quang Doan, Ngoc Phu Thi Khanh Chi, Huynh Li, Peixin Van Binh, Doan An, Yimeng Tuan Dung, Pham Hoang, Tuan A. Thai Son, Mai Laboratory of Environmental Sciences and Climate Change Institute for Computational Science and Artificial Intelligence Van Lang University Ho Chi Minh City70000 Viet Nam Faculty of Environment School of Technology Van Lang University Ho Chi Minh City70000 Viet Nam Department of Computer Science and Information System Thai Nguyen University of Education Viet Nam School of Electronics Electrical Engineering and Computer Science Queen’s University Belfast United Kingdom College of Economics and Management Nanjing University of Aeronautics and Astronautics China Master program in Water Technology Reuse and Management Faculty of Engineering Vietnamese-German University Binh Duong Province Ben Cat Town820000 Viet Nam

The Mekong River Basin (MRB) is one of the highest biodiversity areas in the world and is the vital source of livelihoods for more than 60 millions of people over six countries in Southeast Asia. However, it is suffering from a severe sediment starvation problem caused by climate change and human activities, particularly dam constructions. Understanding long-term sediment changes thus plays a crucial role for management and contingency plans. Current sediment concentration data in the MRB are extremely sporadic, making it a non-trivial task to analyze them. This paper focuses on the sediment reconstruction to provide long-term reliable suspended sediment concentration (SSC) data using Machine Learning (ML) perspectives. In particular, a novel semi-supervised ML model, which can effectively deal with data sparsity, is introduced to predict/reconstruct missing sediment data. The key idea of this approach is to exploit abundant available hydroclimate data to reduce training overfitting rather than solely relying on sediment concentration data, thus enhancing the accuracy of the employed ML models. Extensive experiments on data obtained from 1979 to 2019 at the three main stations (i.e., Chiang Saen, Nong Khai, and Mukdahan) are conducted to demonstrate the performances of the proposed method compared to other state-of-the-art supervised techniques and traditional simulation methods commonly used in previous sediment forecasting/reconstruction studies. To the best of our knowledge, this approach is the first semi-supervised method to reconstruct sediment data in the field. Though this study focuses on the MRB, sediment sparsity is a very common problem in other river systems worldwide. Thus, this method can be widely applied for them for more effective sediment reconstruction/prediction in general. © 2024, The Authors. All rights reserved.

关键词： Biodiversity

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Manipulating Fano coupling in an opto-thermoelectric field

arXiv

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arXiv 2024年

作者： Lin, Linhan Lepeshov, Sergey Krasnok, Alex Huang, Yu Jiang, Taizhi Peng, Xiaolei Korgel, Brian A. Alu, Andrea Zheng, Yuebing State Key Laboratory of Precision Measurement Technology and Instruments Department of Precision Instrument Tsinghua University Beijing100084 China Department of Electrical and Photonics Engineering DTU Electro Technical University of Denmark Building 343 Kgs. LyngbyDK-2800 Denmark Department of Electrical and Computer Engineering Florida International University MiamiFL33174 United States School of Physics and Electronics Hunan University Changsha410082 China Mc Ketta Department of Chemical Engineering The University of Texas at Austin AustinTX78712 United States Materials Science & Engineering Program Texas Materials Institute The University of Texas at Austin AustinTX78712 United States Department of Electrical and Computer Engineering The University of Texas at Austin AustinTX78712 United States Advanced Science Research Center City University of New York New YorkNY10031 United States Physics Program Graduate Center City University of New York NY10016 United States Walker Department of Mechanical Engineering The University of Texas at Austin AustinTX78712 United States

Fano resonances in photonics arise from the coupling and interference between two resonant modes in structures with broken symmetry. They feature an uneven and narrow and tunable lineshape, and are ideally suited for optical spectroscopy. Many Fano resonance structures have been suggested in nanophotonics over the last ten years, but reconfigurability and tailored design remain challenging. Herein, we propose an all-optical "pick-and-place" approach aimed at assemble Fano metamolecules of various geometries and compositions in a reconfigurable manner. We study their coupling behavior by in-situ dark-field scattering spectroscopy. Driven by a light-directed opto-thermoelectric field, silicon nanoparticles with high quality-factor Mie resonances (discrete states) and low-loss BaTiO3 nanoparticles (continuum states) are assembled into all-dielectric heterodimers, where distinct Fano resonances are observed. The Fano parameter can be adjusted by changing the resonant frequency of the discrete states or the light polarization. We also show tunable coupling strength and multiple Fano resonances by altering the number of continuum states and discrete states in dielectric heterooligomers. Our work offers a general design rule for Fano resonance and an all-optical platform for controlling Fano coupling on demand. Copyright © 2024, The Authors. All rights reserved.

关键词： Light polarization

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InP/ZnS core/shell quantum dots: Synthesis, characterization and their application in fullerene derivative based flexible solar cells

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Results in Physics 2025年 69卷

作者： Zhichu, Chen Tahir, Muhammad Muhammad, Fida Aziz, Fakhra Ayub, Ambreen Badshah, Fazal Refat, Moamen S. Cakmak, Sadiye M. Rehan, Shanza Adam, Abdel Majid A. Alsuhaibani, Amnah Mohammed Ayob, Afida Sarker, Mahidur R Khan, Adam School of Electrical and Information Engineering Hubei University of Automotive Technology Shiyan 442002 China Semiconductor Physics & Devices Laboratory Department of Physics Faculty of Physical and Numerical Sciences Abdul Wali Khan University Mardan 23200 Pakistan Department of Electronics University of Peshawar KP Pakistan Department of Physics Women University Mardan KP 23200 Pakistan Department of Chemistry College of Science Taif University P.O. Box 11099 Taif 21944 Saudi Arabia Program of Medical Monitoring Techniques Osmangazi University Eskisehir Eskisehir 26040 Turkey Faculty of Materials and Chemical Engineering GIK Institute of Engineering Sciences and Technology Topi 23640 Pakistan Department of Physical Sport Sciences College of Sport Sciences & Physical Activity Princess Nourah bint Abdulrahman University P.O. Box 84428 Riyadh 11671 Saudi Arabia Centre for Integrated Systems Engineering and Advanced Technologies (INTEGRA) Department of Electrical Electronic and Systems Engineering Universiti Kebangsaan Malaysia Bangi 43600 Malaysia Institute of Visual Informatics Universiti Kebangsaan Selangor Malaysia Bangi 43600 Malaysia Universidad de Diseno Innovacion y Tecnología UDIT Av. Alfonso XIII 97 Madrid 28016 Spain Department of Electronics Engineering University of Engineering & Technology Peshawar (Abbottabad Campus) Abbottabad Pakistan

Herein, we report on the synthesis and characterization of p-type semiconductor indium phosphide/zinc sulphide (InP/ZnS) core/shell quantum dots (QDs) prepared via a simple solvothermal method and their potential application in bulk heterojunction (BHJ) flexible solar cell (SC). The BHJ SC composed of donor–acceptor (D-A) configuration at nanoscale provides larger interfacial junction area throughout the bulk volume of the photo-absorber D-A blend that facilitates excitons to efficiently dissociate within the bulk layer at D-A interface. Hence, InP/ZnS core–shell QDs and a fullerene derivative – phenyl C61 butyric acid methyl ester (PCBM) – are used as hybrid inorganic–organic D-A materials, respectively, to fabricate Ag/LiF/InP/ZnS-PCBM/P3HT/ITO/PET BHJ flexible SC. Indium tin oxide (ITO) coated on polyethylene terephthalate (PET), poly(3-hexylthiophene) (P3HT), lithium fluoride (LiF) and silver (Ag) are employed as a flexible substrate, hole transport layer (HTL), electron transport layer (ETL) and counter electrode, respectively. Photovoltaic (PV) properties of the fabricated BHJ flexible SC are studied under standard testing conditions (STC) i.e., 25 ⁰C, 1.5 AM global and 100 mW/cm² irradiation, which exhibit fill factor (FF) of 59 ± 0.02 % and power conversion efficiency (PCE) of 4.22 ± 0.05 %. Also, the heterojunction characteristics are investigated in dark condition (0 lx) to find series resistance (R_s), ideality factor (n), and reverse saturation current (I₀). X-ray diffraction (XRD), atomic force microscopy (AFM), scanning electron microscopy (SEM) and ultraviolet–visible (UV–vis) spectroscopy are performed to further investigate the properties of InP/ZnS-PCBM thin films. Transmission electron microscopy (TEM) image of InP/ZnS core/shell QDs confirmed the successful synthesis of QDs having an average size of 5 ± 1 nm. The InP/ZnS-PCBM D-A photo-absorber layer reveals its potential as one of good candidates for hi

关键词： Flexible solar cell Hybrid bulk heterojunction (BHJ) InP/ZnS core/shell QDs Power conversion efficiency (PCE) Quantum dots (QDs) synthesis

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Comparative analysis of machine learning-based approaches for prediction of colon cancer

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AIP Conference Proceedings 2024年第1期2919卷

作者： Shubhangi Bhargava Adarsh Kumar Moolchand Sharma Indu Bharadwaj Victor Hugo C. de Albuquerque Department of Computer Science & Engineering Maharaja Agrasen Institute of Technology Rohini Delhi India Department of Electronics and Communication Engineering Galgotias University Greater Noida Uttar Pradesh India Telecommunication Engineering Program-PPGET Federal Institute of Education Science and Technology of Ceará (IFCE) Fortaleza Ceará Brazil Department of Teleinformatics Engineering Federal University of Ceará Fortaleza/CE Brazil

Colon cancer, along with lung, prostate, and breast cancer, is one of the most common types of cancer globally and is regarded as one of the world’s leading causes of death. In therapy for this common illness, substantial progress has been achieved recently. Adjuvant chemotherapy is effective, specifically in stage III patients, and surgery was tailored for the most outstanding results with the least amount of morbidity. Several novel target-oriented medications are being evaluated, and some of them (cetuximab and bevacizumab, for example) have already shown high activity/efficacy, primarily when used in conjunction with chemotherapy. To get the best results, it is necessary to provide current recommendations for treating these patients in medical trials and daily practices. This research seeks to use a person’s gene expression to determine whether or not they have colon cancer. This information is used by the Logistic Regression, Naive–Bayes Algorithm and Catboost Algorithm to predict human colon cancer. The learning classification dataset included 7457 gene expression levels from 36 patients, 18 of whom were healthy and 18 of whom were malignant.

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Structural, linear and nonlinear optical characterization of Ni and Al Co-Doped CdO semiconductor nanostructures for nonlinear optical device applications

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Materials Today: Proceedings 2021年 35卷 396-404页

作者： M. Banuprakash B. Abhishek Hrushikesh Acharya Raghavendra Bairy Shashidhara Bhat H. Vijeth M.S. Murari A. Jayarama Richard Pinto Department of PG Studies in Physics Alva’s College Moodabidri 574227 India Department of Physics NMAM Institute of Technology (Visvesvaraya Technological University Belagavi) Nitte Karkala 574110 India Department of Physics Mangalore University Mangalagangothri 574199 India DST PURSE Program Mangalore University Mangalagangothri 574199 India Department of Physics Alva’s Institute of Engineering and Technology Moodabidri 574227 India Department of Electronics and Communication Engineering Alva’s Institute of Engineering and Technology Moodabidri 574227 India

The effects of metallic doping (Ni and Al) on thin film CdO nanostructures have been investigated and their morphological, structural, linear and nonlinear optical properties have been studied. Thin films were grown using spray pyrolysis method with a substrate temperature of 300 °C for different Ni and Al doping concentrations (0, 1, 3, 5 and 10 wt%). Studies of films with Powder X-ray diffraction confirm the polycrystalline nature with the cubic crystal structure. The Scherer rule was employed to determine the crystallite size and found to be enhanced. The elemental analysis confirms the incorporation of Ni and Al into the host CdO matrix. The surface morphology was analysed using the Field Emission Scanning Electron Microscope and the grain size was found to be altered by increasing the doping content. To understand the characteristics of the defect state, open and closed aperture Z-scan measurement was performed using the DPSS continuous wave (532 nm) laser excitation and nonlinear absorption, refractive index and nonlinear susceptibility values of third order were calculated and found to be increasing with the increased concentration of the dopants. The encouraging findings of the nonlinear optical parameters with the increasing concentration of Ni and Al on CdO nanostructures indicate that doped films are a promising source for nonlinear device applications.

关键词： Ni-Al co-doped CdO thin films Spray pyrolysis Z-scan Surface morphology NLO properties Third order NLO

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Utilization of response surface methodology in optimization of de-oiled olive pomace activated biochar production 6

Utilization of response surface methodology in optimization ...

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6th Environmental technology and Management Conference, ETMC 2019

作者： Abarca, Ralf Ruffel De Luna, Mark Daniel Chakraborty, Sudip Curcio, Stefano Candamano, Sebastiano Department of Chemical Engineering and Technology Mindanao State University Iligan Institute of Technology Iligan City9200 Philippines Environmental Engineering Program University of the Philippines-Diliman Quezon City1101 Philippines Department of Chemical Engineering University of the Philippines-Diliman Quezon City1101 Philippines Laboratory of Transport Phenomena and Biotechnology Department of Computer Engineering Modeling Electronics and Systems University of Calabria Rende87036 Italy Department of Environmental and Chemical Engineering University of Calabria Rende87036 Italy

Olive activated biochar (OAB) was prepared from waste de-oiled olive pomace (sansa esausta, SE) through carbonization followed by combined KOH and thermal activation. The activation process was optimized using central composite design (CCD) with pyrolysis temperature, activation time and KOH to pyrolized SE mass ratio (KOH/PSE) as independent variables, and yield, methylene blue number (MBN) and iodine number (ID) as responses. Optimized OAB was subjected to fixed bed adsorption of 100 mg L-1 methylene blue dye. Numerical optimization resulted in optimum process setting of 362°C pyrolysis temperature, 61-min activation time and 0.81 KOH/PSE under which the optimized activated biochar produced 31% OAB, MBN of 679 and ID of 899. Thomas and Yoon-Nelson models best fit the fixed bed adsorption data implying that methylene blue adsorption conforms to Langmuir isotherm and obeys pseudo-second order reversible reaction kinetics with no axial dispersion. The theoretical adsorption capacity of OAB is 131 mg g-1 with theoretical time required for 50% sorbate breakthrough of 54.69 h. These results show the potential application of OAB in dye adsorption. © 2020 The Authors, published by EDP Sciences.

关键词： Carbonization

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In-situ dehydrogenation impact on amorphous InGaZnO Thin-Film Transistors

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Surfaces and Interfaces 2025年 70卷

作者： Junseo Lee Sein Lee Jeong-Min Park Wooho Ham Jeong Hyun Yoon Seok Daniel Namgung Jang-Yeon Kwon School of Integrated Technology Yonsei University Seoul 03722 South Korea BK21 Graduate Program in Intelligent Semiconductor Technology Yonsei University Incheon 21983 South Korea School of Electrical and Electronics Engineering Chung-Ang University Seoul 06974 South Korea

Incorporating various elements in high-performance amorphous oxide semiconductor (AOS) thin-film transistors (TFTs) for the stable operation, resolution, and reliability of high-performance displays has garnered much research interest. Among those studied, hydrogen, the lightest element, defects in AOS that hinder stable operation, so it has become necessary to be able to detect its level and understand its effects. In addition, tracking and controlling the hydrogen concentration during initial AOS growth and post processing is crucial. In this study, we adjusted the hydrogen content within amorphous InGaZnO films by in-situ dehydrogenation, which is a method controlling the RF sputtering power during deposition. We found that the hydrogen concentration was decreased by 79.8 %, from 8.22 × 10¹ 6 /cm² to 1.62 × 10¹ 6 /cm² at an RF sputtering power of 100 W and 400 W, respectively. Dehydrogenation decreased defect bonding within the thin film, which subsequently improved the positive bias stress stability of the AOS TFT from 2.64 to 0.87 V. Thus, we anticipate that our in-situ dehydrogenation method significantly contributes to the elimination of post dehydrogenation process during TFT fabrication.

关键词： A-IGZO Dehydrogenation Hydrogen Oxide semiconductor Sputtering power Thin-film transistor

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Airplane type identification based on mask RCNN;An approach to reduce airport traffic congestion

arXiv

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arXiv 2021年

作者： Al-Shaibani, Waleed Tawfik Abdullah Helvaci, Mustafa Shayea, Ibraheem Azizan, Azızul Department of Electrical and Electronics Engineering Istanbul Technical University Istanbul Turkey Institute of Informatics Satellite Communication and Remote Sensing Program Istanbul Technical University Istanbul Turkey Department of Telecommunication and electronics Engineering Istanbul Technical University Istanbul Turkey Advanced Informatics Department Razak Faculty of Technology and Informatics Universiti Teknologi Malaysia Kuala Lumpur Malaysia

One of the most difficult jobs in remote sensing is dealing with traffic bottlenecks at airports. This fact has been confirmed by several studies attempting to resolve this issue. Among a wide range of approaches employed, the most successful methods have been based on airplane object recognition using satellite images as datasets for deep learning models. Airplane object identification is not a viable method for resolving traffic congestion. There are several types of airplanes at the airport, each with its own set of requirements and specifications. Utilising satellite pictures will require the use of complex equipment, which is a financial burden. In this work, a universal, low-cost and efficient solution for airport traffic congestion is proposed. Drone-captured aerial pictures are used to train and assess a Mask Region Convolution Neural Network model. This model can detect the presence of any aircraft in a photograph and pinpoint its location. It also includes mask estimations to properly identify each detected airplane type based on the estimated surface area and cabin length, which are crucial variables in distinguishing planes. The study is conducted using Microsoft's Common Object in Context (COCO) metrics, average accuracies and a confusion matrix, all of which demonstrate the approach's potential in providing valuable aid for dealing with traffic congestion at airports. Copyright © 2021, The Authors. All rights reserved.

关键词： Aircraft

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Smart photonic wristband for pulse wave monitoring

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Opto-Electronic Science 2024年第12期3卷 12-27页

作者： Renfei Kuang Zhuo Wang Lin Ma Heng Wang Qingming Chen Arnaldo Leal Junior Santosh Kumar Xiaoli Li Carlos Marques Rui Min Center for Cognition and Neuroergonomics State Key Laboratory of Cognitive Neuroscience and LearningBeijing Normal UniversityZhuhai 519087China College of Science Shenyang Aerospace UniversityShenyang 110136China School of Microelectronics Science and Technology Guangdong Provincial Key Laboratory of Optoelectronic Information Processing Chips and SystemsSun Yat-Sen UniversityZhuhai 519082China Graduate Program in Electrical Engineering Federal University of Espírito SantoFernando Ferrari AvenueVitoria 29075-910Brazil Department of Electronics and Communication Engineering Koneru Lakshmaiah Education FoundationVaddeswaramAndhra Pradesh 522302India CICECO-Aveiro Institute of Materials Physics DepartmentUniversity of AveiroAveiro 3810-193Portugal

Real-time acquisition of human pulse signals in daily life is clinically important for cardiovascular disease monitoring and ***,we propose a smart photonic wristband for pulse signal monitoring based on speckle pattern analysis with a polymer optical fiber(POF)integrated into a sports *** different speckle pattern processing algorithms and POFs with different core diameters were *** results indicated that the smart photonic wristband had a high signal-to-noise ratio and low latency,with the measurement error controlled at approximately 3.7%.This optimized pulse signal could be used for further medical diagnosis and was capable of objectively monitoring subtle pulse signal changes,such as the pulse waveform at different positions of Cunkou and pulse waveforms before and after *** the assistance of artificial intelligence(AI),functions such as gesture recognition have been realized through the established prediction model by processing pulse signals,in which the recognition accuracy reaches 95%.Our AI-assisted smart photonic wristband has potential applications for clinical treatment of cardiovascular diseases and home monitoring,paving the way for medical Internet of Things-enabled smart systems.

关键词： smart healthcare specklegram pulse monitoring gesture recognition artificial intelligence wearable sensor

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