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The current charging mode of electric vehicles is to adopt fixed charging piles. There are a series of problems in this charging mode, such as low penetration rate of charging piles, high failure rate of charging piles, long waiting time in queue, and long charging time. In this paper, we introduce a set of road system which can support the wireless charging of electric vehicles without parking. And it is composed of vehicle unit, wireless charging road module, communication link, and cloud billing system as well as operation and maintenance system centering on block chain. The advantages of the system are that the vehicle can be charged at any time while driving, the wireless charging road module has high compatibility, and the charging transaction information is stored in the cloud block chain. Under the premise of ensuring the safety of the transaction information, the transaction data can be fully shared.

High time-resolution monitoring of nitrogen dioxide (NO2) is of great importance for studying the formation mechanism of aerosols and improving air quality. Based on the Griess–Saltzman (GS) reaction, a portable NO2 optical sensor was developed by employing a porous polypropylene membrane tube (PPMT) integrated gas permeation collector and detector. The PPMT was filled with GS reagents and covered with a coaxial jacket tube for gas collection. Its two ends were respectively fixed with a yellowish-green light-emitting diode and a photodiode for optic signal reception. NO2 was automatically introduced through the collector by two air pumps cooperating with a homemade gas injector. Under the optimized conditions, the device presented good performance for monitoring NO2, such as a limit of detection of 5.1 ppbv (parts per billion by volume), an intraday precision of 4.1% (RSD, relative standard deviation, n = 11, c = 100 ppbv), an interday precision of 5.7% (RSD, n = 2–3 per day for 5 days, c = 100 ppbv), an ...

The authors have prepared a super-hydrophilic polymer consisting of a poly-polyhedral oligomeric silsesquioxane (POSS)-formaldehyde (PPF) composite. The polymerization process does not require a catalyst and results in a material with excellent hydrophilic properties and abundant functional groups. The PFF composite, even if not chemically modified, can selectively bind glycoproteins due to strong hydrophilic interactions. It is shown that glycoproteins can be selectively captured by the composite that has a binding capacity as large as 542 mg g−1 for the model protein ovalbumin. The PPF was applied to the selective capture and isolation of ovalbumin from complex biological samples.

The rapid and accurate detection of hydrogen sulfide is of great concern due to its unique role on environmental pollution and signal transmission in physiological systems. Herein, we report a smart colorimetric probe for the selective detection of H2S. The probe is prepared via a surfactant-free route with cross-linked polyhedral oligomeric silsesquioxane (POSS) polymer cage as capping ligand and reducing agent under microwave irradiation, called poly-POSS-formaldehyde polymer (PPF) cage-AgNPs or PPF-AgNPs for short. The caged silver nanoparticles are well-dispersed with narrow size distribution within 6.0–8.4 nm. Chloride ions and aldehyde groups in PPF make the nucleation and growth of Ag nanoparticles accomplished within a very short time of 1 min. The positively charged PPF-AgNPs exhibit excellent selectivity to H2S against other anionic species and thiols due to the specific Ag–H2S interaction, where the favorable protection effect of PPF polymer cage from the nanoparticle aggregation is demonstrate...

With the development of intelligent card (IC), traffic monitoring, Radio Frequency Identification (RFID), Electronic Toll Collection (ETC) and other intelligent transportation technology, traffic managers can accurately measure of road traffic flow, which provide conditions for road traffic intelligent decision. This paper uses the city traffic network graph, and each road traffic flow measurement data, according to the length of road and road congestion condition, uses the Dijkstra algorithm, to provide the best travel route for the city’s driver, which can effectively avoid the traffic congestion, improve the operation efficiency of city traffic.

Nanohybrids based on biomolecular nanostructures and graphene quantum dots (GQDs) have found wide application in the biological and biomedical fi elds. Herein, the design of a peptide with trifunctional motifs is reported as the precursor building block for constructing a novel multifunctional protein nanofi ber (PNF), and further conjugated with highly fl uorescent GQDs by noncovalent interactions. The physicochemical properties of these PNF‐GQD nanohybrids are thoroughly characterized by a variety of spectroscopic and microscopic techniques, revealing that the GQDs essentially maintain their favorable optical properties in the nanohybrids. A good biocompatibility of the PNF‐GQD nanohybrids is found with cell viability assays. With both, a recognition moiety (RGD) and an imaging probe (GQD), these PNF‐GQD nanohybrids possess the capability of targeting and imaging tumor cells simultaneously. A potential application of these novel nanohybrids, i.e., fl uorescence imaging of HeLa tumor cells, has been investigated by confocal fl uorescence microscopy, which shows much enhanced labeling effi ciency compared with GQDs only. Moreover, cellular internalization by nontumorous COS-7 cells was much weaker than by HeLa cells. Our results show that GQD-decorated PNF nanohybrids have great potential as multifunctional platforms for biomedical applications, particularly, where the capability of sensitive tracking and effi cient labeling is appreciated.

To overcome the shortcomings of current false-color mapping methods for polarization imagery, a near natural color image fusion approach is addressed. Firstly, by polarization information analysis, the obtained images of total intensity, degree of linear polarization, and phase of polarization are mapped into the intensity component, saturation component and hue component of HSI color space, respectively. The result is then transformed from HSI color space to RGB color space, thereby the primary false-color fused image is acquired. After that, the false-color fused image is converted into YIQ color space, and the chromatic characteristics are calculated from the Y-channel, I-channel and Q-channel. And then, the chromatic characteristics of the reference image are adopted to modify those of the false-color fused image, and the image of degree of linear polarization is used to modulate the resultant I-channel image so as to optimize its color contrast. Finally, the resultant image is transformed back into RGB color space, so the near natural color image fusion result is yielded. Experimental results have shown its validity and feasibility of the proposed method.