bluuebunny/crossref_metadata_2025_split huggingface dataset:
DFT based study of transition metals (Au,Ag,Pd& Pt) doped graphitic carbon nitride (gCN) monolayer as a CO gas sensor
Authors: Nihal  , Sharma Rahul , Kaur Navjot , Choudhary B C , Goswamy J K 
Published: May 2022

Abstract
In the present study, we explored the sensing behavior of pristine gCN and transition metal (Au, Ag, Pd and Pt) doped gCN monolayer for CO gas molecule using DFT calculations. Structural and electronic properties such as adsorption energy, band structure and density of states (DOS) have been investigated. An increase of 17.03%, 15.08%, 2.24% and 4.99% is observed for Au, Ag, Pd and Pt doped gCN as compared to pristine gCN towards CO gases. Moreover the band gap also decreases considerably after doping transition metals in it which futher reduces after introduction of CO gas. DOS value also increases. The study revealed that the sensing performance of gCN is enhanced by doping the pristine form with the transition metals (Au, Ag and Pt) and hence doped gCN can be a favorable material for CO gas sensing.
On the robustness of information-theoretic authentication in quantum cryptography
Authors: Molotkov S N 
Published: May 2022

Abstract
In addition to the quantum channel, an auxiliary classical authentic communication channel is required for quantum key distribution. To provide unconditional security in quantum cryptography, which based on the fundamental laws of quantum mechanics, information-theoretic authentication is required, and not authentication based on computational complexity. The paper provides a security proof of information-theoretic authentication in quantum cryptography using ɛ-ASU2 hash functions. The internal structure of ɛ-ASU2 hash functions is not used in the proof, so these hash functions can be implemented by a different composition of other hash functions, for example, including the composition ɛ-AXU2 functions with a reused key and subsequent encryption of the tag with a one-time pad key, which is taken from the previous session of quantum key distribution. It is also shown that information-theoretic authentication preserves composable security of the keys. This authentication method can also be used for key agrrement in in networks with trusted nodes (Molotkov 2022 Laser Phys. Lett.
19 045201–9; Arbekov and Molotkov 2020 Laser Phys. Lett.
17 055202–8) and with quantum key distribution.
Symbol rate limitation due to optical filtering
Authors: Bazarov T O , Senko M A , Dorozhkin A N , Starykh D D , Nanii O E , Treshchikov V N 
Published: May 2022

Abstract
Explicit expressions for the dependence of signal-to-noise ratio on the optical filter bandwidth and its slope have been obtained. The resulting expressions were confirmed experimentally. The dependencies of critical symbol rate on two parameters, namely the bandwidth and roll-off factor, were studied both for the case of one and several filters.
Light mesons and phase structures in μ

B
-T-eB and μ

I
-T-eB spaces *
Authors: Li Luyang , Mao Shijun 
Published: May 2022

Abstract
Light mesons

are investigated in

and

spaces using a two-flavor NJL model and used to determine chiral symmetry restoration and the pion superfluid phase transition. In

space, during the chiral symmetry restoration process, the mass of the pseudo-Goldstone mode

increases, with sudden jumps. At the critical end point, the

meson exhibits a sharp but continuous mass increase, with a sudden mass jump at the Mott transition. In the nearby first order chiral phase transition region, we observe two

mass jumps, one induced by the Mott transition and the other by the quark mass jump. The mass of the Higgs mode σ first decreases and then increases with chiral symmetry restoration, only showing a jump at the first order chiral phase transition. We plot a chiral phase diagram in terms of the change in quark mass, the Mott transition of the pseudo-Goldstone mode

, and the minimum mass of the Higgs mode σ. Owing to explicit breaking of chiral symmetry in the physical case, the chiral restoration phase boundaries on the

plane from the order parameter side and meson side are different. The

and σ mass jumps will be helpful to the experimental search for the chiral phase diagram and critical end point. On the

plane, the competition between the pion superfluid phase transition and chiral symmetry restoration under magnetic fields is studied in terms of the Goldstone mode

and pseudo-Goldstone mode

. In contrast to the two mass jumps of

in the first order chiral phase transition region, the

meson displays several mass jumps in the chiral crossover region. At the critical end point,

also has sharp but continuous mass change, with a mass jump at the Mott transition. The isospin symmetry is strict, and the pion superfluid phase transition is uniquely determined by the massless Goldstone mode

. The separation of chiral restoration and the pion superfluid phase boundaries is enhanced by the external magnetic field.
Modeling and Simulation of Dual-Active-Bridge Based on PI Control
Authors: Ai Xiaorui , Zuo Dongsheng , Zhang Ye 
Published: May 2022

Abstract
Dual-active-bridge (DAB) is a DC/DC converter,which is commonly used in solid-state-transformer (SST) and electric vehicle (EV).In order to obtain the expected output voltage,the converter needs to be modeled and controlled.Firstly,the working modes in different time intervals of the switching cycle under single-phase-shift (SPS) modulation are analyzed,and the mathematical models of output voltage,current stress and phase-shifting duty cycle are constructed.Then,the simulation model is built on Simulink,and the PI controller is used for closed-loop voltage control,The accuracy of the mathematical model is verified.
Power transformer life analysis based on Lambert W function
Authors: Wang Jingyang , Fu Liyou 
Published: May 2022

Abstract
As the core equipment in many construction power fields, the reasonable life management of power transformer plays an important role in ensuring the safe production and economic benefits of the public and enterprises. Based on lambert-w function, the exact solution is obtained by calculating the total annual allocated cost. The variable values that may have errors in the function model are deeply analyzed. Combined with the inherent characteristics of power transformer, the factors affecting the economic life in the results are analyzed. The reliability of the method is verified by an example. Compared with the traditional tabular method, this method is convenient to further analyze the influencing factors and change laws of economic life. At the same time, through the analysis of specific problems, this method can also be used to study the economic life of other equipment. It has popularization value.
Apple sugar content non-destructive detection device based on near-infrared multi-characteristic wavelength
Authors: Liu Weihui , Han Yanan , Wang Na , Zhang Zhen , Wang Qingguo , Miao Yongping 
Published: May 2022

Abstract
Knowing the sugar content of apples in time and grading the internal quality of apples can meet the requirements of different consumers for apples. In this paper, Yantai Red Fuji apples are used as the research object, a low-cost and portable non-destructive testing device for apple sugar content is designed based on near-infrared detection technology. To realize the quantitative detection of apple sugar content, The relationship between the voltage value of diffuse reflection light and the sugar content of apples at multiple characteristic wavelengths is studied, and the multiple linear regression method is used to establish the apple sugar content prediction model. The correlation coefficient predicted by the model is 0.7708, and the minimum relative error is 0.89%. The experimental results show that within a certain error range, the device can realize fast and non-destructive detection of the sugar content of apples. This article provides a reference for the realization of a low-cost, portable non-destructive testing device for Apple.
Feature Analysis Method of Voltage Sag based on Sag Slope
Authors: Wang Lixun , Zhang Bin , Gao Peng , Zhang Jianchao , Chen Caiya 
Published: May 2022

Abstract
At present, most of the analysis of the amplitude and duration of the voltage sag is based on the probability distribution map of a large number of measured data, in order to solve this problem, a calculation method is proposed to transform the sag amplitude and duration into the sag slope and sag amplitude time, which can quantitatively express the tilt degree of the voltage sag waveform and the persistence at the lowest amplitude. After analyzing the simulation waveforms of short circuit fault and transformer excitation by slope calculation method, the values of sag slope and sag amplitude time obtained are more perfect than the original sag amplitude and duration description, which is beneficial to the follow-up study of voltage sag.
Research on Power Quality Prediction Based on BiLSTM Optimized by Bayesian Algorithm
Authors: Zhang Wenhui , Wang Baohua , Wang Dafei , Yu Jiacheng , Zhang Chi 
Published: May 2022

Abstract
The steady-state indexes of power quality are obviously nonlinear and non-stationary under the influence of many factors, leading to the existing algorithms not to achieve high-precision prediction for power quality. Considering the excellent performance of Bi-directional Long Short-Term Memory model in time series analysis and the outstanding advantages of Bayesian algorithm in global optimization, a prediction model for power quality based on BiLSTM optimized by Bayesian is proposed. The actual data of power quality are used to test the performance of the model, and the results show that the proposed prediction model has higher accuracy and better applicability.
Investigation on the Critical Wind Speed of Instability Failure of UHV Transmission Tower-line Coupling System under Typhoon
Authors: Li Tao , Zheng Lei , Feng Zhihui , Li Jian 
Published: May 2022

Abstract
Wind is one of the most destructive external loads of transmission lines, and typhoon-caused severe damage or even destruction of electric power facilities occurred frequently. In order to research the critical wind speed of instability failure of UHV transmission tower-line coupling system under typhoon, the UHV transmission line in Zhejiang is chosen as the research subject and a finite element model of the UHV tower-line coupling system is established. By using the improved generalized force calculation method, the dynamic response of the transmission tower is converted to the static response. Then the LRC method is used to calculate the equivalent static wind load of the tower and obtains the wind response of the UHV transmission tower-line coupling system. The results show that under the typhoon wind field, the component at the junction of the tower head and the body first reaches the supercritical state. Specifically, when the wind speed at 10-meters height reaches 31m/s, the profile component of the tower head will be damaged. With the increase of wind speed, the damaged area of the tower head also expends. When the wind speed at 10-meters height reaches 37m/s, the main load-bearing component of the tower head-body junction will lose its stability, which will directly threaten the safety of the transmission tower.
Estimation methods for States of Charge and Health of Lithium-ion battery
Authors: Yi Zhenxiao , Zhao Zhenhua , Li Lingjun , Wang Honghong , Wu Hongtao , Wang Kai 
Published: May 2022

Abstract
A battery energy storage system is one of the practical and effective ways to achieve carbon neutrality. Lithium-ion batteries are widely used because of their long cycle life, high energy density, high rated voltage, and low self-discharge rate, etc. Their large-scale application has put forward higher requirements for the battery management system (BMS) to ensure the reliable operation of batteries. However, due to the electrochemical reactions and complex operating conditions inside the battery, it is difficult to accurately assess the internal state of the battery. The state of charge (SOC) and state of health (SOH) are two important parameters in the battery management system. This paper systematically summarizes the current commonly used SOC and SOH estimation methods and analyzes the characteristics of each method. The problems and future research trends of battery SOC and SOH estimation techniques are also described, which are expected to provide a reference for further research in this field.
A Compact 60GHz Power Amplifier in 65nm CMOS Technology
Authors: Liu Ling , Ye Song , Wang Weimin , Ma Wenying 
Published: May 2022

Abstract
A compact 60GHz power amplifier chip in 65nm CMOS technology of three-stage common source structure is presented. The first two amplifiers offer sufficient gain to pre-amplify the small input power. The third stage amplifier uses two sets of differential pairs to achieve power synthesis. On-chip transformer coupling is adopted to realize inter-stage impedance matching as well as input and output matching. The compact structure of on-chip transformer can reduce the chip size and improve the integration degree. The measured small signal gain at 60GHz of 22.3dB, the saturation power of 20.2dBm, the output P-1dB of 17.3dBm, the PAE of 14%, and the core area is 0.19mm2. The power amplifier can be used in high-speed short-range wireless communication system to enhance communication data transmission capacity.
Non-intrusive Load Monitoring Based on Self-attention
Authors: Gan Tuanjie , Chen Yongchang , Zhang Yan , Cheng Cong , Huang Min , Li Zhong 
Published: May 2022

Abstract
Non-intrusive load monitoring is an important means to monitor the power consumption of end-user equipment in real time and timely. At present, there are still some problems in non-invasive load identification, such as the analysis of feature quantity is not detailed enough, the subjectivity of feature selection is strong, and the effect of identification algorithm is not good because it does not fully consider the information expression difference of feature quantity. In order to mine local features and the advantage of the latter in capturing the global relationship between sequence elements, a deep self-attention network method based on self-attention calculation is proposed. The research shows that this method has higher accuracy in solving the problem of load decomposition, and the training speed is faster than the traditional deep learning method. It performs well in the power decomposition of continuous variable state equipment and multi state equipment.
Experimental Study on the Efficiency of RF Energy Transfer System
Authors: Guo Jing , Lu Dongkun , Zheng Weige 
Published: May 2022

Abstract
This paper presents a 915 MHz radio frequency (RF) wireless energy transfer system which contains RF energy transmitters and RF energy harvesting nodes. Firstly, Advanced Design System (ADS) is used to design and optimize the monopole voltage doubler rectifier circuit. Secondly, an energy harvesting node is designed by a commercial RF/DC rectifier and a 915 MHz antenna. Finally, the RF energy transfer experiment between RF energy transmitter and RF energy harvesting node is demonstrated. Experimental data fits well with theoretical analysis and the harvested energy show a non-linear relationship with the distance and angle between the receiving node antenna and the transmitter antenna. The experimental data is valuable for designing RF-powered nodes and optimizing the movement trajectory of the mobile RF energy transmitter, such as an unmanned aerial vehicle (UAV).
Interference-Avoid Based Spectrum Sharing Approach for Loosely-Coupled Cognitive Radio Networks
Authors: Qiu Zheng , Zhang Luyong 
Published: May 2022

Abstract
Cognitive radio (CR) network is a promising technology to solve the problem of spectrum scarcity arising from the growth of usage of wireless networks and mobile services. CR networks can find idle channels and access them opportunistically with spectrum sensing technology. In this paper, resource allocation with sensing-based interference recording is considered for several loosely-coupled cognitive radio networks, in which the base station controls the end-users’ (EUs) transmission by making channel allocation strategies based on recorded interference information. We proposed a method to record this information and an allocation strategy with low computational complexity, to increase the capacity of tasks with fixed data size in the system. Numerical results show the effectiveness of our model for recording the statistical behaviour of the cognitive network interference and allocating channels for higher system capacity.
Few Shot Object Detection for Tangka Seats Based on Deformable Convolution
Authors: Xue Panpan , Hu Wenjin , He Guoyuan 
Published: May 2022

Abstract
According to deformable target sizes in the detection for Thangka Seats, an optimized few shot Thangka detection model is proposed. The deep residual network based on the deformable convolution is designed to extract the Thangka image features to decrease the missing detections rate. Experimental results show that the proposed method has better performance than the FSOD model on the Thangka dataset. The AP of 2-way 1-shot is 28.5 %, and the AP50 reaches 67.6 %, which increases by 4.7 % and 4.7 %, respectively.
Harmonic detection technology based on ant colony optimization BP neural network
Authors: Wu Jianyu , Zou Hairong 
Published: May 2022

Abstract
At present, ip-iq algorithm based on instantaneous reactive power theory is the most widely used in the field of harmonic detection.However, the ip-iq algorithm based on instantaneous reactive power has coordinate transformation and inverse transformation, which leads to cumbersome calculation.the existence of low-pass filter leads to delay and poor dynamic performance of the algorithm.The harmonic detection based on BP neural network has the advantages of simple calculation, fast detection speed, strong adaptive ability and good dynamic performance.However, the initial weights and thresholds are random, so it is easy for the network to fall into local optimal solution during training, resulting in low detection accuracy. This paper presents a harmonic detection method based on ant colony algorithm optimized BP neural network. ACO-BP, BP and ip-iq algorithms are compared by Simulink simulation. The results show that ACO-BP harmonic detection algorithm is feasible and superior
Formation of break-out induced by longitudinal crack of billet
Authors: Zhao Xinyu , Zhang Jianbin , Gao Feng , Wang Xianghong , Wang Litao 
Published: May 2022

Abstract
Due to the characteristics of large shrinkage, peritectic steel is sensitive to longitudinal crack defects. Through the analysis of the breakout shell of a domestic factory, the mechanism of longitudinal crack breakout of peritectic steel is revealed. The following conclusions are obtained: the carbon content of the steel is 0.077%, which is in the peritectic range, but Mn / S = 128, and the ratio of manganese and sulfur is relatively high. Although P + S = 0.0263%, the longitudinal crack defect still occurs when the harmful elements are very low. When breakout occurs, the superheat is 35 °C, the drawing speed is 2.5m/min, which is one of the main causes of longitudinal crack. The longitudinal crack occurs about 200-600mm away from the mold bottom and on the center of the side. After the original shell is formed, intermittent unevenness occurs. This unevenness can sometimes be repaired, but sometimes can’t. Therefore, the longitudinal crack and break-out are easy to occur after the thinner blank shell leaves the mold.
Research on Rapid Identification Method of Copper Concentrate and Its Smelting Slag
Authors: Jiang Longfa , Cai Dan , Bai LingYun , Zhang ShuMin , Zhang Heng , Tu XuMin 
Published: May 2022

Abstract
This research was based on the portable X-ray fluorescence spectrometer ( XRF ) to determine the content of copper and silicon in copper concentrate and its smelting slag. Taking the copper concentrate produced in typical mining areas in China and abroad and the smelting slag produced by various copper concentrate smelting processes as test samples, the content of silicon and copper was determined by XRF, and the silicon copper in copper concentrate and slag was studied. The distribution law of element content was calculated in order to realize the identification of the properties of the sample. By calculating the ratio of silicon to copper (Rsi/Cu), the rapid primary screening and identification of the solid waste property of the cargo can be realized at the port site. The results showed that: the preliminary screening of the solid material was judged as slag, suspected slag and copper concentrate when Rsi/Cu ≥5, 1≤Rsi/cu <5, and Rsi/cu <1, respectively. The established preliminary screening method had an accuracy rate of more than 95%.
Simultaneous degradation of trace antibiotics in water by adsorption and catalytic oxidation induced by N-doped reduced graphene oxide (N-rGO): synergistic mechanism
Authors: Wu Nan , Zhang Xuemin , Zhang Xue , Yang Kai , Li Yanjuan 
Published: May 2022

AbstractAimed at current difficulties in the treatment of trace antibiotics in water, an adsorption-catalytic oxidation system was established by combining persulfate and graphene, which have the dual functions of adsorption and catalysis, for simultaneous enrichment and degradation of trace antibiotics in water. The experimental results showed that over 90% sulfamethoxazole could be degraded by the proposed system. The activation energy of the proposed system was 7.9 kJ mol−1, which was significantly lower than those of typical Co catalysts and some carbon-based catalysts. Synergistic effect analysis revealed that catalytic oxidation was the key degradation kinetic of the proposed system, while adsorption showed a significant enhancement effect. Specifically, a compound with large adsorption capacity tended to be degraded preferably and rapidly. Characterization results indicated that N atoms were doped into the graphene framework, resulting in significant impacts on the activation process of potassium bisulfate by activating the sp2C system. Quenching and free radical trapping experiments revealed that degradation catalyzed by the proposed system was a non-free radical oxidation reaction dominated by singlet oxygen. In summary, the proposed design was rational, N-rGO surface provided good adsorption and catalysis sites, the synergistic effect of adsorption and catalytic oxidation led to rapid and effective enrichment andin situdegradation of trace antibiotics in water.
Facile fabrication of large-scale silver nanowire transparent conductive films by screen printing
Authors: Li Zhengliang , Zhang Xuyang , Shan Jiaqi , Liu Cuilan , Guo Xingzhong , Zhao Xiaoyu , Yang Hui 
Published: May 2022

Abstract
Silver nanowire transparent conductive films (AgNW TCFs) were facilely prepared by screen printing conductive ink on a polyethylene terephthalate (PET) substrate, and the effects of ink compositions and oily stencil on the optoelectrical properties of AgNW TCFs were investigated in detail. 7.3 mg·ml−1 hydroxypropyl methylcellulose (HPMC), 4.12 mg·ml−1 AgNWs and 98T oily stencil allow the preparation of large-scale AgNW TCFs with high transmittance, low square resistance and high uniformity. The resultant screen printed AgNW TCFs possesses a sheet resistance as low as 13.0 ± 0.6 Ω sq−1, a transmittance of about 95.3% at 550 nm wavelength (deducting the background) and a haze of 3.86 (deducting the background), and can achieve a surface root mean square roughness of 3.33 nm, a film size of 15 × 20 cm2 and personalized pattern by means of the screen printing process. The transparent film heater (TFH) constructed by AgNW TCFs can rise to a usable temperature of 55 °C at a low voltage of 4 V within 80 s. This process provides a simple strategy for fabricating uniform, patterned and large size AgNW TCFs for various devices.