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Radio frequency identification (RFID) and quick response (QR) codes are an effective way to identify traceable resource units (TRUs) and are widely applied in traceability systems. TRU transformation is common for things such as beef segmentation and wheat-flour packaging. The present study describes the development and testing of equipment for barcode-RFID bidirectional transformation to improve traceability by conserving identification association and information correspondence while transforming barcodes to RFID and vice versa. The framework of traceable bidirectional identification labels is based on comparing the features of RFID and barcodes and on analyzing TRU transformation. The proposed equipment includes a tactile industrial controller, a RFID-reader module, an embedded printing module, and a barcode scanning module. Furthermore, we develop the main functions of RFID-barcode conversion, bar-code-RFID conversion, and condition monitoring. The system is tested in field experiments based on two typical scenarios: beef segmentation and wheat-flour packaging. The average conversion success rate in RFID-barcode processing is 97%, and in barcode-RFID processing is 93.48%. The proposed equipment is more rapid than the reference method: 3.2 versus 8.7 s for RFID-barcode transformation and 10.5 versus 13.3 s for barcode-RFID transformation. In addition, the proposed equipment is less expensive than the conventional equipment. Test results indicate that continuous traceability is improved because identification association and information correspondence are conserved after TRU transformation.

To solve the problem of amplicon sequencing cannot discern the microbiota absolute abundance, we proposed a gradient internal standard absolute quantification method. We used Chinese liquor fermentation as a model system to demonstrate the reliability and accuracy of the method., High-throughput amplicon sequencing is a critical tool for studying microbiota; however, it results only in relative abundance data. Thus, changes in absolute abundance of microbiota cannot be determined, which hinders further microbiology research. We have therefore established a gradient internal standard absolute quantification (GIS-AQ) method to overcome this issue, which can simultaneously obtain the absolute abundances of bacteria and fungi. Deviations from the quantitative equations of microbes and internal standards were eliminated through calibration. Compared with traditional quantitative real-time PCR and microscopy quantifications, this method is reliable (R2average = 0.998; P 0.05). The GIS-AQ method can be adapted to any amplicon primer choice (e.g., 336F/806R and ITS3/ITS4), rendering it applicable to ecosystem studies including food, soil, and water samples. Crucially, when using solid-state fermentation samples from various temporal dimensions, the results obtained from the relative and absolute abundance are different. The absolute abundance can be used to study the difference in communities between different samples, and the GIS-AQ method allows this to be done rapidly. Therefore, combining the absolute abundance with relative abundance can accurately reflect the microbiota composition. IMPORTANCE To solve the problem of amplicon sequencing cannot discern the microbiota absolute abundance, we proposed a gradient internal standard absolute quantification method. We used Chinese liquor fermentation as a model system to demonstrate the reliability and accuracy of the method. By comparing the relative and absolute abundances of microbiota in various temporal dimensions, we found dynamic changes in the absolute abundance of communities under various temporal dimensions from the relative abundance. Based on its design principle, this method can be widely applied to different ecosystems. Therefore, we believe that the GIS-AQ method can play an immeasurably useful role in microbiological research.

This paper proposes a distributed battery management system (BMS) to meet the reliability design requirements. The proposed BMS consist of two parts that is the main control module and the sampling module. The reliability and electromagnetic compatibility design of these two modules are presented. In addition, the state of health (SOH) estimation of the two modules is analysed. A reliability test platform is developed and the test results show that the proposed BMS has high reliability.

Logistics and storage is the main processing for agro-food supply chain. Because of disconnection information between the two processing, it is difficult to trace continuously. An intelligent conveyer belt provides an effective method to associate storage and logistics by QR code scanning and information recording. Improving the QR code readability in movement state is the core of implementing continuous chain traceability with this belt. In this paper, a intelligent conveyer belt including automatic conveyer unit, barcode scanning unit, fault remove unit and control display unit was designed. Four factors affected QR readability were selected and the value range was confirmed, which was reading distance, code size, coded characters and belt moving speed. Based on the belt, an Central Composite Inscribed (CCI) experiment of four factors with five levels was designed using Response Surface Methodology (RSM) to obtain the optimal reading parameters. The result shows that the main factors of reading distance, belt moving speed and the interaction between reading distance and code size have the significant effect on QR code readability. Under the optimization condition of 141.45 mm reading distance, 34.58 mm code size, 100 bytes coded characters and 2.98 m/min belt moving speed, the average value of QR code readability was 95%. With the optimization parameters, the intelligent conveyer belt was used in an apple marketing enterprise. The result shows that the continuous traceability between storage and logistic can be implemented with the extended breadth, deepened depth and improved precision.

The main content of this paper is the magnetic coupling resonance wireless power transmission technology, using the full bridge high-frequency inverter circuit structure, which including high-frequency inverter circuit, control circuit and transmitting and receiving coils. The principle of magnetic coupling resonant wireless power transmission technology is studied, at the same time, the transmission power, transmission distance and transmission efficiency of wireless power transmission are optimized.

This paper establishes a mutual inductance circuit model for the wireless power transmission (WPT) system, analyzes the impedance characteristics of the circuit, and takes the series compensation topology as the research object, analyzes the characteristics of the load power and transmission efficiency, and calculates and analyzes the mechanism of the eddy effect on the transmission of the resonant frequency of the underwater WPT, and designs the underwater WPT test circuit platform, in accordance with the optimized scheme, is realized about the distance 5cm, and the power is lkW underwater WPT. It provides theoretical guidance for the design and experiment of the WPT system.

In this paper, a set of near space solar cell accurate test system is designed. The system includes high-altitude scientific balloon, solar tracking mechanism and solar cell high-precision acquisition equipment. This paper solved the problem of high accuracy acquisition of solar tracking control system for high-altitude balloon solar cell test in extreme environment, Continuous tracking and anti-shake and other key technical issues. The paper achieved near space I-V curve measurement for the first time, and the initial analysis of the system test results are reasonable, reliable and stable. The paper work provides a new idea and solution for our country near space solar cells accurate measurement.

Long endurance power aerostat in the field of communication and remote sensing has broad prospects and development potential, is the current research hotspot, and it's energy comes from solar cells during the day and from storage batteries during the night. Due to the current solar cells conversion efficiency is low and the storage batteries energy density is not high, causing the aerostat energy tight, therefore, it is necessary to improve the efficiency of the energy controller in order to improve the energy utilization of solar cells and storage batteries. Compared with other stacked boost converters, HE-boost converter has the advantages of low loss, high efficiency, low current stress and high reliability, but there are few researches on HE-Boost circuits in current literature search. This paper aims to analysis the performance of the SBC in terms of current characteristics, input and output voltage relationship, transfer function of the main circuit. To achieve the goal of the study, a small-signal circuit model is designed and simulated through the Bode diagram. In addition, the system stability margin is examined based on the current inner ring and voltage out ring transfer functions. Experimental tests proof it has a good stability and good dynamic performances. Furthermore, the efficiency of the converter reaches more than 96%.

Radar bias estimation is an important part of a multisensor tracking system. Because the radar bias models in current efforts are not sufficiently accurate, the bias estimation accuracy is not satisfied. First, a general radar bias model, in which the importance of the sensor-target pair-related bias is emphasized, is proposed in this paper. Moreover, the target-sensor pair-related bias is considered on the grounds of the impact of atmospheric refraction on the electromagnetic wave propagation path. Second, by using the augmented state vector with the target state and radar bias, a dynamic equation and measurement equation under the IMM framework are obtained. Last, the IMM-UKF estimator is utilized to obtain the target state and radar bias simultaneously. The numerical simulations show that the accuracy of the bias estimation together with the target states estimation can be improved via the proposed radar bias model.

An unprecedented new skeleton compound (1R, 10R, 11S)-10,11-dimethyl-4-formyl-2,9-dioxa-bicyclo [5.4.0] undeca-4,6-dien-3-one (1), monoterpenoids and monoterpene glycoside picrocrocinic ester (2), epijasminoside B (3) and 6′-O-(3-methoxyl-4-hydroxyl-coumaroyl)-epijasminoside B (4), along with 26 known compounds, were obtained from Zhuyeqing Liquor. These compounds were identified mainly by analyzing their NMR, HR-ESI–MS and CD data. The isolated compounds were screened against alcohol induced HepaG 2 toxicity for hepatoprotective assay. Compounds 10, 19, 21 and 26 displayed the highest potency against alcohol induced HepaG 2 toxicity with the cell viability ratio 41.21, 56.91, 67.69 and 70.32 % respectively.

Four new compounds methyl-6-(6-(3,4-dimethoxy)-benzalacryloyl-β- d -glucosyl)-O-β- d -glucopyranoside (1), (5R)-(2E)-5-hydroxy-2-methyl-hepta-2-ene-1,6-dione (2), 6″-O-trans-p-methoxy-coumaroyl genipin gentiobioside (3), and 7-methoxy-isobiflorin (4), along with 57 known compounds, were obtained from Zhuyeqing Liquor. These compounds were identified mainly by analyzing their NMR and HR-ESI-MS data. The anti-inflammatory activity of all these isolates against lipopolysaccharide (LPS)-stimulated RAW 264.7 macrophage cells were evaluated and compounds 1–61 exhibited various degrees in the anti-inflammatory activities screen. Among them, compounds 24, 26, 43 and 44 showed the best anti-inflammatory activities with the NO inhibition ratio 56.93%, 66.03%, 50.17% and 55.45%, respectively. It seems that all isolates were not active at less than 50 μM.

Lithium-ion battery has become one of the key components of energy system of stratospheric airships for its long service life, higher energy and power density. However, battery ageing always occurs during operation and leads to performance degradation and system fault which not only causes inconvenience, but also risks serious consequences such as thermal runaway or even explosion. So it is necessary for users to obtain the time left before the battery loses its operation ability. This paper uses model-based approach to estimate the remaining useful life (RUL) of the battery used in stratospheric airship. The acquisition dataset containing voltages and currents is firstly processed by subspace identification method, and then an equivalent circuit model is set up. The values of capacitances and resistances within the circuit are identified to indicate the battery's degradation in capacity and internal resistance.

Objective to observethe clinical effect of electroacupuncture with different frequency in the treatment of hemidysesthesia after stroke. Methods Sixty patients with hemidysesthesia after stroke were randomly divided into treatment group and control groups, with 30 cases in each group. Both groups were treated with electroacupuncture with the same acupoint selection. The electroacupuncture frequency was 100 Hz in the treatment group and 1 Hz in the control group. The clinical effficacy of the two groups was observed after 30 days of treatment. Results The total effective rate and the recovery rate of the treatment group were 93.3% and 80.0%, respectively, and the control group were 86.0% and 43.3%, respectively The difference in the total effective rate between the two groups was statistically significant (p < 0.05). And the difference in the recovery rate between the two groups was statistically significant (p < 0.05). There were was a statistically significant differences in the scores of limb dysesthesia score between the two groups after treatment and before treatment (p < 0.01). There was a statistically significant difference in the limb dysesthesia score after treatment between the treatment group and control group (p < 0.05). Conclusions Electroacupuncture is an effective method to treat poststroke hemidysesthesia. High frequency electroacupuncture is more obvious than low frequency electroacupuncture.