- 标题
- 摘要
- 关键词
- 实验方案
- 产品
-
Large spin-orbit splitting in inversion layers on HgCdTe with an inverted band structure
摘要： This paper reports the study of the magneto-transport properties of a two-dimensional electron gas confined in inversion layers on HgCdTe with an inverted band structure. The magnetoresistance exhibits Shubnikov-de Hass oscillations, where beating patterns are observed at low magnetic field. This can be attributed to the zero-field spin splitting. By using the fast Fourier transformation of the observed beating patterns, the zero-field spin splitting energy is extracted. The extracted energy up to ～ 34 meV is obtained, which is far larger than that in inversion layers on HgCdTe with a normal band structure. This offers a route to realize a HgTe-based spintronic device that works at room temperature.
关键词： spin-orbit splitting,spintronic device,inversion layers,HgCdTe
更新于2025-09-09 09:28:46
-
Point-of-care, smartphone-based, dual-modality, dual-view, oral cancer screening device with neural network classification for low-resource communities
摘要： Oral cancer is a growing health issue in a number of low- and middle-income countries (LMIC), particularly in South and Southeast Asia. The described dual-modality, dual-view, point-of-care oral cancer screening device, developed for high-risk populations in remote regions with limited infrastructure, implements autofluorescence imaging (AFI) and white light imaging (WLI) on a smartphone platform, enabling early detection of pre-cancerous and cancerous lesions in the oral cavity with the potential to reduce morbidity, mortality, and overall healthcare costs. Using a custom Android application, this device synchronizes external light-emitting diode (LED) illumination and image capture for AFI and WLI. Data is uploaded to a cloud server for diagnosis by a remote specialist through a web app, with the ability to transmit triage instructions back to the device and patient. Finally, with the on-site specialist’s diagnosis as the gold-standard, the remote specialist and a convolutional neural network (CNN) were able to classify 170 image pairs into ‘suspicious’ and ‘not suspicious’ with sensitivities, specificities, positive predictive values, and negative predictive values ranging from 81.25% to 94.94%.
关键词： convolutional neural network,screening device,oral cancer,low-resource communities,smartphone-based,autofluorescence imaging,white light imaging
更新于2025-09-09 09:28:46
-
[IEEE 2018 International Conference on Advances in Computing, Communications and Informatics (ICACCI) - Bangalore, India (2018.9.19-2018.9.22)] 2018 International Conference on Advances in Computing, Communications and Informatics (ICACCI) - Pulse Oximetry and IOT based Cardiac Monitoring Integrated Alert System
摘要： Heart-related diseases are the leading cause of mortality around the world. There is a substantial need for continuous monitoring of cardiac values as they are a very significant index of one’s health. Conventional methods of measuring heart rate, spo2, and blood pressure values are laborious, prone to errors and usually requires the presence of a physician. This makes nocturnal monitoring impossible. In this project, we offer a modern day, embedded Systems & IoT based solution for continuous and non-invasive measuring of the cardiac values using an upcoming technology known as pulse-oximetry. This technology uses a medical sensor creating a photoplethsmogram from which we can detect the oxygen saturation level and variations in blood volume in the tissues. This analog waveform is further processed using hardware filters to obtain heart rate and Sp02 values. These values are digitized using the A2D converters in the ATmega32 based SoC and are constantly stored and uploaded to the cloud. In case the cardiac values are found to deviate away from the set thresholds, an automated emergency alert system is triggered which uses GSM for automated SOS calls, GPS to track the patient's location and GPRS to make the system truly mobile and wireless. Also, a patient can self-trigger the same alert system by using Google voice assistant on their smart-phone. The end goal of this project is to make a wearable cardiac monitoring and alert system which can be generic or patient specific and help reduce heart-related accidents.
关键词： Photoplethsmogram (PPG),pulse oximeter,GPRS,cardiac parameters: heart rate, sp02,GSM,GPS,Internet of Things (IoT),SoC,OPAMP,wearable health care device
更新于2025-09-09 09:28:46
-
[IEEE 2018 9th International Conference on Ultrawideband and Ultrashort Impulse Signals (UWBUSIS) - Odessa (2018.9.4-2018.9.7)] 2018 9th International Conference on Ultrawideband and Ultrashort Impulse Signals (UWBUSIS) - Application of the Industry 4.0 Paradigm to the Design of a UWB Radiolocation System for Humanitarian Demining
摘要： The modern world is characterized by the pervasive use of computers, sensors, robotics, and Internet connectivity. This represents a new industrial revolution, dubbed Industry 4.0. In this paper, we discuss the application of the Industry 4.0 paradigm to creating a robotic search-and-detection platform intended for humanitarian demining. This is based on the combination and interaction of two microwave radars - including a UWB multi-sensor array, and a holographic imager - as well as 3-D optical cameras, remote navigation, and GPS tracking. The concepts introduced by Industry 4.0 represent an important opportunity for the scientific community to adopt new approaches in the design and use of UWB radar systems, and how data from these systems can be shared, archived, and processed in a decentralized manner accessible to the worldwide community
关键词： holographic radar,unexploded ordnance (UXO),computer simulations,georadar,landmine,Industry 4.0,ultra-wide-band (UWB) radar,humanitarian demining,improvised explosive device (IED),robotic platform,detection
更新于2025-09-09 09:28:46
-
Gallium Oxide || Growth, properties, and applications of β-Ga2O3 nanostructures
摘要： This chapter provided a brief overview for β-Ga2O3 nanostructures from a growth aspect to device applications. The outstanding properties of β-Ga2O3 such as large bandgap, high breakdown field, thermal and chemical stability, along with advantageous properties due to its nanostructures morphology such as large surface-to-volume ratio, fewer defects, and less strain makes it a potential material for development of high-performance nanoscale devices. β-Ga2O3 nanostructures have shown great promise for nanoscale devices such as deep-UV photodetectors, gas sensors, and FETs. In addition, functional nanowires based on β-Ga2O3 nanostructures can also be utilized for establishing the nanoscale device platform.
关键词： device applications,photodetectors,FETs,β-Ga2O3 nanostructures,gas sensors,growth techniques
更新于2025-09-09 09:28:46
-
Machine Learning for Perovskites' Reap-Rest-Recovery Cycle
摘要： Perovskite photovoltaics are efficient and inexpensive, yet their performance is dynamic. In this Perspective, we examine the effects of H2O, O2, bias, temperature, and illumination on device performance and recovery. First, we discuss pivotal experiments that evaluate perovskites’ ability to go through a reap-rest-recovery (3R) cycle, and how machine learning (ML) can help identify the optimum values for each operating parameter. Second, we analyze perovskite dynamics and degradation, emphasizing the research challenges surrounding this 3R cycle. We then outline experiments that could identify the impact of environmental factors on recovery for different perovskite compositions. Finally, we propose an ML paradigm for maximizing long-term performance and predicting device performance recovery, including a shared-knowledge repository. By reframing perovskites’ optoelectronic transiency within the context of recovery rather than degradation, we highlight a set of research opportunities and the artificial intelligence solutions needed for the commercial adoption of these promising solar cell materials.
关键词： machine learning,perovskite photovoltaics,environmental factors,reap-rest-recovery cycle,device performance
更新于2025-09-09 09:28:46
-
Implementing a Stereo Image Correction Method for 3D Surgery Microscopes
摘要： Recently 3D scenes are used in various industrial fields such as medical applications, computer games, surface examinations, biology and others. 3D optical microscopes can show extremely precise details in 3D. To reconstruct the 3D images of an optical microscope, two cameras are mounted on the optical microscope. Incoming images through an object lens of an optical microscope are projected on sensors of mounted cameras by using refraction mirrors. Two cameras capture the left and right images to reconstruct the final 3D images. In this paper, we correct the 3D reconstruction errors with the SURF algorithm. We also design a hardware system to correct wrong mirror positions using servo motors. In addition, we propose the surgical system with HMD and wireless communications. This system would be helpful for doctors due to make doctors comfortable and it can be used to educate surgery procedures.
关键词： Stereo Image,Optical Microscope,SURF,Medical Device,Computer Vision
更新于2025-09-09 09:28:46
-
Vacuum Annealing of White-Light Organic Light-Emitting Devices with Polyfluorene Copolymer as Light-Emitting Layer
摘要： White-light organic light-emitting devices (OLEDs) were fabricated, in which poly(9,9-dioctyl)fluorene with insertion of 4,7-bithienyl-2,1,3-benzothiadiazole (PFO-DBT5) were utilized as light-emitting layer. During fabrication of white-light OLED, PFO-DBT5 films were vacuum annealed under four different temperatures, respectively. Then, the relationship between vacuum annealing of PFO-DBT5 films and performance of white-light organic light-emitting device was studied by atomic force microscope observation and electroluminescence properties characterization. It was concluded that degree of stacking order and the inter-chain distance and of PFO-DBT chains influence device performance directly; the optimal vacuum annealing temperature was gained to be 100 oC by comparison experiments.
关键词： White-light,F?rster,Organic light-emitting device,Annealing
更新于2025-09-09 09:28:46
-
A monitoring device made of an anodic aluminum oxide template for plasma-induced charging potential measurements in the high-aspect-ratio trench structure
摘要： A monitoring device is proposed to investigate the charge accumulation effects in a high-aspect-ratio trench structure. This monitoring device is made of an anodic aluminum oxide (AAO) template, which is a self-organized material with parallel pores, to demonstrate a high aspect ratio trench structure. A top electrode and bottom electrode were formed in the AAO contact structure for measuring electric potentials. These electrodes can be assumed to be electrically floating due to the very high input resistance of the measurement circuit. Therefore, the electric potentials resulting from the charge accumulation can be measured. In this paper, the fabrication process of the proposed device and experimental demonstrations are presented.
关键词： high-aspect-ratio trench structure,charge accumulation,monitoring device,anodic aluminum oxide,plasma-induced charging potential
更新于2025-09-09 09:28:46
-
[Lecture Notes in Computer Science] Neural Information Processing Volume 11307 (25th International Conference, ICONIP 2018, Siem Reap, Cambodia, December 13–16, 2018, Proceedings, Part VII) || Hopfield Neural Network with Double-Layer Amorphous Metal-Oxide Semiconductor Thin-Film Devices as Crosspoint-Type Synapse Elements and Working Confirmation of Letter Recognition
摘要： Arti?cial intelligences are essential concepts in smart societies, and neural networks are typical schemes that imitate human brains. However, the neural networks are conventionally realized using complicated software and high-performance hardware, and the machine size and power consumption are huge. On the other hand, neuromorphic systems are composed solely of optimized hardware, and the machine size and power consumption can be reduced. Therefore, we are investigating neuromorphic systems especially with amorphous metal-oxide semiconductor (AOS) thin-?lm devices. In this study, we have developed a Hop?eld neural network with double-layer AOS thin-?lm devices as crosspoint-type synapse elements. Here, we propose modi?ed Hebbian learning done locally without extra control circuits, where the conductance deterioration of the crosspoint-type synapse elements can be employed as synaptic plasticity. In order to validate the fundamental operation of the neuromorphic system, ?rst, double-layer AOS thin-?lm devices as crosspoint-type synapse elements are actually fabricated, and it is found that the electric current continuously decreases along the bias time. Next, a Hop?eld neural network is really assembled using a ?eld-programmable gate array (FPGA) chip and the double-layer AOS thin-?lm devices, and it is con?rmed that a necessary function of the letter recognition is obtained after learning process. Once the fundamental operations are con?rmed, more advanced functions will be obtained by scaling up the devices and circuits. Therefore, it is expected the neuromorphic systems can be three-dimensional (3D) large-scale integration (LSI) chip, the machine size can be compact, power consumption can be low, and various functions of human brains will be obtained. What has been developed in this study will be the sole solution to realize them.
关键词： Neural network,Hop?eld neural network,Letter recognition,Arti?cial intelligence,Crosspoint-type synapse elements,Double-layer amorphous metal-oxide semiconductor (AOS) thin-?lm device,Modi?ed hebbian learning
更新于2025-09-09 09:28:46