The Influence Of Light On The Electrochemical Characteristics Of Pure Aluminum

The objective of this work was to study the influence of light (wave length ~ 460 nm) on the electrochemical characteristics of pure aluminum. The open circuit potential (OCP) measurements, potentiostatic polarization, cyclic potentiodynamic polarization and Zero Resistance Ammetry (ZRA) were performed in 0.1 M NaCl solution. It was observed that the incident light shifted the OCP in the noble direction by 100 mV. Furthermore, ZRA was performed to measure the galvanic current between illuminated and non-illuminated aluminum electrodes. Cyclic potentiodynamic polarization tests revealed the influence of light on the pitting potential, passive current density, corrosion current density, and repassivation potential. This study indicated that the incident light modified electronic properties of the passive film, which influenced the corrosion behavior. Future research using Mott-Schottky analysis will develop further insight into the influence of light on the electronic properties of the passive film

CardioCam: Leveraging Camera on Mobile Devices to Verify Users While Their Heart is Pumping

With the increasing prevalence of mobile and IoT devices (e.g., smartphones, tablets, smart-home appliances), massive private and sensitive information are stored on these devices. To prevent unauthorized access on these devices, existing user verification solutions either rely on the complexity of user-defined secrets (e.g., password) or resort to specialized biometric sensors (e.g., fingerprint reader), but the users may still suffer from various attacks, such as password theft, shoulder surfing, smudge, and forged biometrics attacks. In this paper, we propose, CardioCam, a low-cost, general, hard-to-forge user verification system leveraging the unique cardiac biometrics extracted from the readily available built-in cameras in mobile and IoT devices. We demonstrate that the unique cardiac features can be extracted from the cardiac motion patterns in fingertips, by pressing on the built-in camera. To mitigate the impacts of various ambient lighting conditions and human movements under practical scenarios, CardioCam develops a gradient-based technique to optimize the camera configuration, and dynamically selects the most sensitive pixels in a camera frame to extract reliable cardiac motion patterns. Furthermore, the morphological characteristic analysis is deployed to derive user-specific cardiac features, and a feature transformation scheme grounded on Principle Component Analysis (PCA) is developed to enhance the robustness of cardiac biometrics for effective user verification. With the prototyped system, extensive experiments involving 25 subjects are conducted to demonstrate that CardioCam can achieve effective and reliable user verification with over 99% average true positive rate (TPR) while maintaining the false positive rate (FPR) as low as 4%

Interfacial Corrosion of Copper and the Formation of Copper Hydroxychloride

Electrical circuitry is an industry, among many others, heavily using the element of copper. Ensuring the mechanical integrity of Cu is crucial, especially in salt environments, for the multifaceted composition of circuits. 4N NaCl solution (equilibrium concentration in ~84% RH) simulated this three-phase system. Rectangular Cu samples were partially immersed in both ambient and continuous lab air sparging atmospheres to understand waterline corrosion of the metal. Open circuit potentials (OCP) were continuously taken during the immersion testing for a maximum of 5 days. A scanning electron microscopy (SEM) equipped with an energy dispersive X-ray spectrometer (EDS), Raman spectroscopy, and 3-D microscopy afforded a closer look at the morphology and compositions of the degradation. One conclusion was chloride-containing corrosion product formed on the metal surface. This copper hydroxychloride corrosion product was more concentrated on immersed Cu directly in the waterline zone. Copper oxides (CuO and Cu2O) formed in the spreading zone above the waterline, where cathodic reactions are thought to take place because of a higher pH. The copper oxides are thought to be pH dependent as they correspond location with pH. Three-day immersion experiments of pure Cu in ambient NaOH solutions with different pH values were further conducted to verify that the formation of copper oxides is pH dependent. The results presented CuO formed in pH less than 12 while Cu2O formed in pH more than 12. The continuous sparging of the headspace with lab air significantly altered the corrosion morphology and corrosion production formation, both in the waterline and secondary spreading zones. Cyclic potentiodynamic polarization (CPP) experiments of Cu in NaOH solutions with different pH values were conducted to further elucidate the corrosion behavior of Cu in different pH environments. Finally, the Cu/NaCl/Air three-phase corrosion phenomenon is tentatively explained by pH and potential variation based on thermodynamic and kinetic considerations

Investigation of Scanning Kelvin Probe Techniques

The original scope of this work was to advance the understanding of corrosion properties of additively manufactured (AM) materials by correlating microstructural defects in AM materials to the material conventional counterparts utilizing a scanning kelvin probe [Ametek VeraSCAN Electrochemical System]. However, upon the initiation of project research, it was observed that the system was not operational due to unknown hardware and software problems. The evolved scope of this work was to reconcile the operational issues and develop a repair and mitigation plan. After extensive troubleshooting, it was determined that the software was not properly configured, and the electrometer had permanently malfunctioned. A repair plan was developed, with identified malfunctioning components, with a manufacture quoted $2,152.50 repair cost. Several mitigation steps are also recommended, to avoid additional issues and hardware concerns. With the successful repair and use of the VeraSCAN system, the university will greatly benefit from the full functionality of this electrochemical system. If the stated plan is executed, future students will be able to successfully complete the original scope, and benefit the Corrosion Engineering Program, and Department of Chemical and Bimolecular Engineering

Secret key distribution leveraging color shift over visible light channel

Given the widely adoption of screen and camera in many electronic devices, the visible light communication (VLC) over screen-to-camera channel emerges as a novel short range communication technique in recent years. Active research explores various ways to convey messages over screen-camera channel, such as barcode and unobtrusive optical pattern. However, with the prevalence of LED screens of wide viewing angles and mobile devices equipped with high standard cameras, the threat of information leakage over screen-to-camera channel becomes in-negligible. Few studies have discussed how to ensure the security of data transmission over screen-to-camera channel. In this paper, we propose a secret key distribution system leveraging the unique color shift property over visible light channel. To facilitate such design, we develop a practical secret key matching based method to map the secret key into gridded optical patterns on screen, which can only be correctly recognized by the legitimate user through an accessible region and allow regular data stream transmission through valid grids. The proposed system is prototyped with off-the-shelf devices and validated under various experimental scenarios. The results show that our system can achieve high bit-decoding accuracy for the legitimate users while maintaining comparable data throughput as regular unobtrusive VLC systems with very low recovery accuracy of the encrypted data for the attackers

Multiplexed Sensor Array for Accurate Time-of-Wetness (TOW) Measurement

In this work, we use electrochemical impedance spectroscopy (EIS) to observe the response of a single, photo-lithographically created, interdigital transducer (IDT) sensor, dimensions 6mm X 6 mm, with capacitive elements 70μm X 500 nm. The IDT was exposed to different wetting conditions, droplets of DI water, 0.1 M NaCl, and 0.6 M NaCl, in volumes of 0.1, 0.3, 1, and 5 μL. Deliquescence of solid NaCl salt particles in a dynamic-humidity (%RH Increasing, 33% to 85%) atmosphere is examined. Equivalent circuit fitting of impedance spectra suggests linear trends for the capacitive equivalent circuit element parameters and a decaying logarithmic trend for the resistive element, with respect to electrolyte concentration vs. area of wetting. The sensor development process includes a 1 by 5 proof-of-concept linear array, and the eventual goal of a 5 by 5 matrix array. The array sensor aims to (1) determine the overall fraction of wet surface area, and (2) distinguish between electrolytes of varying conductivity, in a 2-dimensional gradient across a surface

Measurement of SiPM gain and photon detection efficiency at different temperatures and bias voltages

Gain and photon detection efficiency (PDE) of silicon photomultipliers (SiPMs) are important characteristics to understand SiPM-based detector systems in low light level applications. In this work, experimental setups are developed to quantify SiPM gain and PDE at different temperatures and bias voltages with a light source of fixed wavelength 405 nm, where a novel light-tight connected device of two integrating spheres is implemented to produce weak light onto SiPM. We present methods and results of the breakdown voltage, gain and PDE measurements for a Hamamatsu S13360-2050VE MPPC. At 25 Celsius, consistent results are obtained with the datasheet from the manufacturer. The temperature and bias voltage dependence of SiPM performances can guide its usage, such as in gain compensation at readout circuits, optical modeling of SiPMs and optimization of operating conditions of SiPM-based detectors.Comment: 9 pages, 14 figure

Collaborative Camouflaged Object Detection: A Large-Scale Dataset and Benchmark

In this paper, we provide a comprehensive study on a new task called collaborative camouflaged object detection (CoCOD), which aims to simultaneously detect camouflaged objects with the same properties from a group of relevant images. To this end, we meticulously construct the first large-scale dataset, termed CoCOD8K, which consists of 8,528 high-quality and elaborately selected images with object mask annotations, covering 5 superclasses and 70 subclasses. The dataset spans a wide range of natural and artificial camouflage scenes with diverse object appearances and backgrounds, making it a very challenging dataset for CoCOD. Besides, we propose the first baseline model for CoCOD, named bilateral-branch network (BBNet), which explores and aggregates co-camouflaged cues within a single image and between images within a group, respectively, for accurate camouflaged object detection in given images. This is implemented by an inter-image collaborative feature exploration (CFE) module, an intra-image object feature search (OFS) module, and a local-global refinement (LGR) module. We benchmark 18 state-of-the-art models, including 12 COD algorithms and 6 CoSOD algorithms, on the proposed CoCOD8K dataset under 5 widely used evaluation metrics. Extensive experiments demonstrate the effectiveness of the proposed method and the significantly superior performance compared to other competitors. We hope that our proposed dataset and model will boost growth in the COD community. The dataset, model, and results will be available at: https://github.com/zc199823/BBNet--CoCOD.Comment: Accepted by IEEE Transactions on Neural Networks and Learning Systems (TNNLS

CO2 Corrosion of Low Carbon Steel Under the Joint Effects of Time-Temperature-Salt Concentration

The time-dependent effects of temperature and salt (NaCl) concentration on the corrosion behavior of carbon steel in CO2-saturated environments were explored using various electrochemical techniques coupled with XRD, Raman spectroscopy, and SEM/FIB examinations. At constant salt level, corrosion rate increases, and stabilizes when the temperature is below 60°C. When temperature is higher than 60°C, corrosion rate firstly increases, reaches an apex, and then starts decreasing continuously. The magnitude of the decrease is inversely proportionally to the salt concentration, which is attributed to the microstructure of dual-layer FeCO3 scale. Polarization experiments indicate the anodic process is more affected by salt concentration than temperature while the opposite is true for the cathodic kinetics. Although chloride is not detected in the corrosion scale, it is regarded to have significant influence on the nucleation and growth of FeCO3 and therefore the properties (e.g., thickness and compactness) of the corrosion scales. Lastly, a mechanism is proposed for the evolution of corrosion scales on carbon steel in CO2 saturated environment as a function of temperature and salt concentration

Microbial diversity and community composition of fecal microbiota in dual-purpose and egg type ducks

IntroductionDucks are important agricultural animals, which can be divided into egg and dual-purpose type ducks according to economic use. The gut microbiota of ducks plays an important role in their metabolism, immune regulation, and health maintenance.MethodsHere, we use 16S rDNA V4 hypervariable amplicon sequencing to investigate the compositions and community structures of fecal microbiota between egg (five breeds, 96 individuals) and dual-purpose type ducks (four breeds, 73 individuals) that were reared under the same conditions.ResultsThe alpha diversity of fecal microflora in egg type ducks was significantly higher than that in dual-type ducks. In contrast, there is no significant difference in the fecal microbial community richness between the two groups. MetaStat analysis showed that the abundance of Peptostreptococcaceae, Streptococcaceae, Lactobacillus, Romboutsia, and Campylobacter were significantly different between the two groups. The biomarkers associated with the egg and dual-purpose type ducks were identified using LEfSe analysis and IndVal index. Function prediction of the gut microbiota indicated significant differences between the two groups. The functions of environmental information processing, carbohydrate metabolism, lipid metabolism, xenobiotic biodegradation and metabolism, and metabolism of terpenoids and polyketides were more abundant in egg type ducks. Conversely, the genetic information processing, nucleotide metabolism, biosynthesis of amino acids and secondary metabolites, glycan biosynthesis and metabolism, fatty acid elongation, and insulin resistance were significantly enriched in dual-purpose type ducks.DiscussionThis study explored the structure and diversity of the gut microbiota of ducks from different economic-use groups, and provides a reference for improving duck performance by using related probiotics in production