Abstract Real‐time monitoring of carbon dioxide (CO 2 ) is imperative for medical diagnosis and effective environmental preservation. Despite the formidable challenge posed by inherent chemical inertness CO₂ molecules, a pioneering CO sensor based on MOF‐804 cofunctionalized with ionic liquid (IL) m‐cresol purple (mCP) successfully developed. By ingeniously integrating hydrogen bonding, electrostatic interactions, hydrophobic properties within sensitive layer, achieves state‐of‐the‐art...

We propose an improved visibility graph method, i.e., limited penetrable graph, for establishing complex network from time series. Through evaluating the degree distributions of three algorithms(visibility horizontal graph), we find that cannot distinguish signals periodic, fractal, and chaotic systems; fractal signal, obtained both can be well fitted to a power-law(scale-free distribution), but anti-noise ability is not good; periodic signals, shows better than graph. In this regard, use...

Due to the block of high-rise objects and influence sun’s altitude azimuth, shadows are inevitably formed in remote sensing images particularly urban areas, which causes missing information shadow region. In this paper, we propose a new method for detection compensation through objected-based strategy. For detection, was highlighted by an improved index (ISI) combined color space with NIR band, then ISI reconstructed acquired from mean-shift algorithm weaken noise interference improve...

Monitoring the CO2 concentration is crucial for assessing respiratory illnesses in humans and safeguarding environment. The ongoing difficulty lies achieving highly sensitive detection while also eliminating interference caused by humidity. There an unmet need portable sensors with both high sensitivity good moisture resistance to monitor real time. In this study, a novel sensor capable of capturing piezoelectric signals induced gas developed. A quartz crystal microbalance (QCM) coated...

Traditional road extraction algorithms, which focus on improving the accuracy of surfaces, cannot overcome interference shelter caused by vegetation, buildings, and shadows. In this paper, we extract roads via centerline extraction, width broken connection, reconstruction. We use a multiscale segmentation algorithm to segment images, feature get initial road. The fast marching method (FMM) is employed obtain boundary distance field source field, branch backing-tracking used acquire...

We optimize and design a new half-ring conductance sensor for measuring two-phase flow in small diameter pipe. Based on the experimental signals measured from designed sensor, we using limited penetrable visibility graph proposed construct complex networks different patterns. Through analyzing constructed networks, find that joint distribution of allometric scaling exponent average degree network allows distinguishing gas-liquid patterns The curve peak uncovering detailed features structure...

As the mainstream type of gas sensors, metal oxide semiconductor (MOS) sensors have garnered widespread attention due to their high sensitivity, fast response time, broad detection spectrum, long lifetime, low cost, and simple structure. However, power consumption operating temperature limits its application in some scenarios such as mobile wearable devices. At same highly sensitive low-power are becoming more necessary indispensable growth environmental problems development miniaturized...

Abstract Water competitive adsorption and limited reaction sites on the micro‐scale sensing area of micro‐electro‐mechanical system (MEMS) sensors are two bottleneck problems that restrict detection trace indoor polluted gases, leading to drifting weak signals. To address this, a “duet‐insurance” strategy is proposed protect amplify signal. For first‐level protection, well‐designed double‐layer structure consisting Janus TpMa covalent organic framework (COF)/Eu‐doped α‐Fe 2 O 3 can resist...

For multi-spectral remote sensing imagery, accurate shadow extraction is of great significance for overcoming the information loss caused by high buildings and solar incidence angle in urban sensing. However, diverse illumination conditions, similarities between shadows, other dark land features bring uncertainties deviations to processes results. In this paper, we classify shadows as either strong or weak based on ratio ambient light intensity direct intensity, use fractal net evolution...

We systematically carried out oil–gas–water three-phase flow experiments for measuring the time series of signals. first investigate pattern behaviors from energy and frequency point view find that different patterns exhibit behaviors. In order to quantitatively characterize dynamic underlying patterns, we infer analyze visibility graphs (complex networks) signals measured under conditions. The results indicate combination parameters network degree are sensitive transition among which can be...

An in situ soil moisture observation network at pixel scale is constructed cropland the northeast of China for accurate regional evaluations satellite products. The products are based on Japan Aerospace Exploration Agency (JAXA) algorithm and Land Parameter Retrieval Model (LPRM) from Advanced Microwave Scanning Radiometer 2 (AMSR2), FengYun-3B (FY3B) evaluated using synchronous data collected by EC-5 sensors surface a typical during crop-growing season May to September 2017. results show...

In this paper, control of a nonholonomic mobile manipulators with unknown dynamics is considered using Diagonal Recurrent Neural Network. The system subject to constraint. adaptive recurrent neural network controller presented deal the unmodelled in system. proposed strategy guarantees that motion asymptotically converges desired manifold.

In recent decades, with the rapid development of remote sensing technology, high resolution images have been widely used in various fields due to their characteristics, such as rich spectral information and complex texture information. As a key step feature extraction, multi-scale image segmentation algorithm has hotspot currently. The traditional is based on pixels, which only takes pixel into account, ignores texture, spatial contextual relation objects image. experimental are from GF-2...

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When a mass of individual targets move closely, it is unpractical or unnecessary to localize and track every specific target in wireless sensor networks (WSN). However, they can be tracked as whole by view group target. In order decrease the amount energy spent on active sensing communications, flexible boundary detecting model for tracking WSN proposed, which, number sensors involved adjustable. Unlike traditional one multiple targets, usually occupies large area. To obtain global estimated...

With the rapid development of remote sensing technology, spatial resolution and temporal satellite imagery also have a huge increase. Meanwhile, High-spatial-resolution images are becoming increasingly popular for commercial applications. The image technology has broad application prospects in intelligent traffic. Compared with traditional traffic information collection methods, vehicle extraction using high-resolution advantages high wide coverage. This great guiding significance to urban...

Dual Sensing In article number 2203715, Tingting Zhou, Tong Zhang, and co-workers propose the “dual sensing cooperative diagnosis” route, taking advantage of versatility metal–organic frameworks (MOFs) their derivatives. The sensors based on Fe-MIL-101-NH2 its derived Co/Ni/Fe trimetallic oxides show high sensitivity for detecting humidity biomarker gas diabetes in exhaled breath, suggesting enormous potential functional-MOFs noninvasive diagnostic applications.

Based on the assumption of sparse representation and theory compressed sensing, Yang et al. propose an excellent super-resolution algorithm. However, process training coupled dictionaries cannot be perfectly connected with reconstructing images in theory. Therefore, a novel dictionary-based algorithm is proposed this paper. Different from Yang's algorithm, low- high-resolution are separately trained by employing L <sub xmlns:mml="http://www.w3.org/1998/Math/MathML"...

Example-based methods are popular in the single-image super-resolution technology. Among these methods, nearest neighbor-based algorithms attractive for their simplicity and flexibility. These mostly designed based on neighbor estimation, which has been shown very poor generalization according to leaning theories. The weak performance of estimation lowers algorithms, both visual experience statistical index. To fix problem, we introduce a local regression method where training sets...

摘要: 将磺酸型聚酯多元醇、异佛尔酮二异氰酸酯(IPDI)和三羟甲基丙烷(TMP)在无有机溶剂参与的情况下进行预缩聚,以硅烷偶联剂γ-氨丙基三乙氧基硅烷(KH550)作为改性剂,加入双官能团单体甲基丙烯酸-β-羟乙酯(HEMA),得到含乙烯基和有机硅封端的聚氨酯作为种子乳液,然后与甲基丙烯酸甲酯(MMA)、丙烯酸丁酯(BA)混合单体共聚,合成了有机硅改性磺酸型聚氨酯/丙烯酸酯复合乳液。 红外光谱的表征确定了有机硅改性磺酸型聚氨酯/丙烯酸酯复合乳液的化学结构;透射电子显微镜观察证实了此复合乳液具有明显的核壳结构;热重分析表明,经有机硅和丙烯酸酯改性后,胶膜的最大热失重温度提高了20 ℃,X射线衍射分析表明胶膜的结晶度降低,有利于提高膜的韧性。 力学性能测试及吸水率测试结果表明,当有机硅含量为1.9%时,胶膜的拉伸强度最高达到25.03 MPa,断裂伸长率为328%,此时膜的吸水率最低。

Snow accumulation has a very important influence on the natural environment and human activities. Meanwhile, improving estimation accuracy of passive microwave snow depth (SD) retrieval is hotspot currently. Northeastern China typical study area including many different land cover types, such as forest, grassland farmland. Especially, there relatively stable in January every year. The brightness temperatures which are observed by Advanced Microwave Scanning Radiometer 2 (AMSR2) GCOM-W1...