bluuebunny/crossref_metadata_2025_split huggingface dataset:
High efficient polymer solar cell processed by environment-friendly solvent system
Authors: Chen Jinxiang , Zhou Hang 
Published: August 2020

Abstract
In this paper, we fabricate the solution-processed solar cell to investigate the effect of the boiling point of the solvent additive on the performance of the polymer solar cell. We select the non-halogen solvent trimethylbenzene (TMB) as the host solvent and 2,2-(1,2-ethanediyldioxo) diethyl mercaptan (EOS) as the solvent additive to process the solar cell based on the FBT-Th4(1,4): PC71BM. The best power conversion efficiency is over 10%, which is the best result among the solar cells based on FBT-Th4(1,4): PC71BM. It should be noted that EOS can fast remove completely during the film-forming period. In order to investigate the underlying reason that the performance is improved, the TEM and AFM measurement are carried on. At last, we research the air stability and thermal stability of the solar cell processed with the new solvent additive.
Design and Implementation of Container Global Monitoring Device Based on Low-Orbit Satellite Communication Module
Authors: Xu Shibo , Li Jichun , Cao Wensheng , Zhang Shuhui 
Published: August 2020

Abstract
Containers are important equipment for global cargo transportation. After the USA 9/11 terrorist attacksand, safety of container transportation has attracted much attention. The real-time monitoring of containers has become an inevitable trend for future container intelligent development. In this paper, current development status and advantage of application on monitoring container of low-orbit satellites are introduced, and circuit design and development solution based on low-orbit satellite module is elaborated, finally the monitoring device is proved that has great practicability by actual test experiment.
A multi-sensors pure azimuth data fusion method
Authors: Guo Richeng , Wang Ying , Lan Chunyan , Xu Boran 
Published: August 2020

Abstract
Passive detection sensors have the advantages of good concealment, strong viability, strong resistance to electronic interference, wide coverage of airspace, and stronger detection capabilities for low-altitude targets than active detection sensors, and farther detection distances. It has caused more and more research and application attention in various fields. However, passive detection sensors mainly obtain azimuth information, no stable distance information, and stable tracking of only azimuth targets has many uncertainties. In recent years, how to integrate effective and stable passive detection data has become the focus of scholars research and the difficulty of urgent breakthrough. This article proposes a method of fusion of pure azimuth data for systems with multi-source detection sensors, through the filtering of “modified extreme coordinates ”based on the measurement results of each sensor, “based on the Lagrange daily linear interpolation method” time allocation, “m/n logic-based” track association and fusion, obtain more accuracy and track more stable direction measurement results, and improve the comprehensive capabilities of the multi-source detection sensor system.
Mutual Inductance Estimation of Multiple Input Wireless Power Transfer for Charging Electronic Equipment
Authors: Hou Xiaochen , Kang Le , Hu Song , Yang Haodong 
Published: August 2020

Abstract
The transmission performance of wireless power transfer is highly influenced by the mutual inductance (M) between the transmitter and the receiver. This paper proposes a mutual inductance estimation method for the multiple input coils wireless charging system which can be used in low-power portable devices such as mobile phones. The method can estimate M precisely and reliably without using empirical formulas and additional communication system. It simplifies the estimation process and achieves more accurate values of M under any conditions. Simulations and experimental results prove the proposed method has a good performance on estimating M at any circumstance.
Design of Ultra-low Power Consumption Low-dropout Regulator
Authors: Xiao-juan Bai , Wen-Zhuo Shao , Zhi-Gang Han 
Published: August 2020

Abstract
This paper designs a type of ultra-low power consumption LDO with the CSMC 0.5μm technology, which can output the 1.5V voltage. In this LDO, the error amplifier is structed with two-stage operational amplifiers. The input of first stage uses PMOS differential pairs that can decrease the noises and the second stage uses the common-source structure in order to increase the open-loop gain. In addition, the MOS amounts we use are as less as possible over the whole circuit, which decrease the die size to satisfy the trend of product miniaturization. The result of simulator Spectre shows that the LDO proposed can output the 1.5V voltage stably, the PSR is -66dB at 1kHz, and the loop gain is 72.5dB, the lowest dropout voltage is 93mV, the power consumption is only 1mW.
Research of flexible terminal
Authors: Wang Quan , Chen Xuqiong , Liu Qingbo , Wang Liting , Xiong Yue , Yuan Li 
Published: August 2020

Abstract
In recent years, with the rapid development of high-low Earth Orbit Commercial Satellite Communication Technologies and products, and the increasing demand of aviation, navigation and space trunking communication, satellite Communication has entered the stage of satellite Internet development with hybrid application of GEO Satellite and NGSO Constellation. Based on the characteristics of GEO satellite and NGSO satellite, this paper studies the flexible terminal which can access the GEO and NGSO Constellation, designs and analyzes the key technologies such as low cost phased array antenna and flexible waveform, providing some insights and ideas around the development for the mixed application of the terminal in GEO and NGSO satellites.
Comprehensive performance analysis of coil electromagnetic radiator
Authors: Yucheng Jiao , Chunhua Jiang , Hongtao Qi , Xue Ma 
Published: August 2020

Abstract
The coil electromagnetic radiator is widely used in underwater weapon system and underwater active electromagnetic detection, and it’s an essential part of electromagnetic fuze, active electromagnetic detection and other systems. The main parameters to measure the electromagnetic radiator are coil turns, inductance and radiation intensity. In this paper, the relationship between coil turns, inductance and radiation intensity of electromagnetic radiator is analyzed. Through theoretical analysis and experimental test, we can draw the following useful conclusion: Although increasing the number of coil turns can improve the radiation magnetic moment of unit exciting current, too many turns of coil is not good for engineering implementation. Therefore, in practical application, the relationship between coil turns, size, inductance and magnetic moment of the radiator should be considered comprehensively.
The effect of measurement noise on the typical quantum teleportation protocol
Authors: Zhaolei Zhang , Zhiqiang Ma , Lei Shi 
Published: August 2020

Abstract
Quantum teleportation is an important reaseach direction of quantum communication. Quantum meaurement is one of necessary physical implementation for quantum teleportation. Thus, this paper explored the influence of measurement noise on quantum teleportation. The realization steps of quantum teleportation with measurement noise are presented. From the density operation and fidelity value, the performance of quantum teleportation is analyzed. The research results about measurement noise might be utilized for quantum communication.
The improved slime mould algorithm with Levy flight
Authors: Zhao Juan , Gao Zheng-Ming , Sun Wu 
Published: August 2020

Abstract
In this paper, we proposed the Levy flights to replace the random numbers whether it was in Gauss distribution or uniform distribution in the standard slime mould algorithm (SMA). Three kinds of classical benchmark functions such as the unimodal, multimodal benchmark functions and those who have basins which we could see clearly from their three dimensional profiles. Comparisons were made through the average results over 100 Monte Carlo simulation experiments in order to eliminate the influence of randomness. Results showed that the improved SMA with Levy flight might not always perform better. The improved SMA replacing the uniform distributed parameter achieved better performance whereas the improved SMA replacing the Gauss distributed parameter gained nothing in performance, even worse sometimes than the standard SMA.
The hybrid grey wolf optimization-slime mould algorithm
Authors: Gao Zheng-Ming , Zhao Juan , Yang Yu , Tian Xue-Jun 
Published: August 2020

Abstract
In this paper, we hybridize the grey wolf optimization (GWO) algorithm with the newly proposed slime mould algorithm (SMA). Comparisons had been made and three kinds of benchmark functions were introduced to verify the capability. 100 Monte Carlo simulation experiments had been carried on to reduce the influence of randomness as less as possible. Results showed that the performance of hybrid GWO-SMA would base on the given characteristics of problems themselves because of the random threshold parameter p and the multiple branches in the updating equation. The hybridization of the GWO and SMA might be not recommended for steady applications and engineering problems.
A Novel Safety Helmet Wear Detection Method based on Improved RFBnet
Authors: Chen Liu , Xue Zhishuang , Liu Xiaofang , Chen Mingju , Huang Hui 
Published: August 2020

Abstract
In order to solve the problems of error detection and missed detection in complex environments, a helmet wear detection method based on dense connection method and CIou loss is proposed. This method is based on RFBnet-512 neural network, and improves the bankbone network of RFBnet-512 with dense connection to enhance the bankbone network’s ability to extract features. At the same time, in order to avoid errors caused by inconsistent loss function and evaluation index, CIou loss is used to replace the original SmoothL1 loss of RFBnet-512 network, making the calculation of regression loss more close to the evaluation index. The experiment shows that compared with the original RFBnet-512 network, the detection accuracy is improved by 0.018, and the detection speed is significantly improved.
Design and Simulation of a magnetic balance weak current sensor based on TMR
Authors: Song Jiakuo , Zhang Guoqing , Nie Yu , Wang Guizhong , Li Hongbo , Hou Yingwei 
Published: August 2020

Abstract
In this paper, a weak current sensor based on TMR is designed. The system structure, principle and conversion process of the sensor are introduced. The voltage current conversion circuit and feedback block diagram are analyzed emphatically. Then ANSYS Maxwell is used to simulate the electromagnetic field of the iron core and the coil. The results show that when the measured conductor and the secondary coil are connected with the current which is inversely proportional to the number of turns, the magnetic field in the air gap reaches a balance, close to the zero flux state. Finally, Multisim software is used to simulate the driving circuit of the system. The simulation results show that for DC and AC signals, the secondary current can track the primary current quickly, and the accuracy can reach 0.7% when measuring 1∼10mA weak current.
Research on the Preprocessing of Tai Le Character Recognition
Authors: Guo Hai , Yang Doudou , Zhao Jingying , Liu Yifan 
Published: August 2020

Abstract
Tai Le character is a kind of alphabetic writing with a long history, and its character recognition research plays an important role in inheriting and protecting Tai Le. Preprocessing is an key part of the Tai Le character recognition system, the quality of the preprocessing directly affects the recognition rate in the recognition system. Image preprocessing is the premise of feature extraction and recognition, since the directly input image usually contains noise, it affects the recognition effect. Therefore, it is of great application value and far-reaching historical significance to study the preprocessing technology of Tai Le character recognition. This paper proposes the image preprocessing method of Tai Le character, including graying, binarization, de-noise, and edge detection, and achieves good preprocessing results, which lays a foundation for feature extraction and recognition of Tai Le character.
A Novel Method for Sorting Radar Signal Based on Welch Power Spectrum characteristics
Authors: Han Jun , He MingHao , Li MingWei , Gong YuQin 
Published: August 2020

Abstract
The accuracy rate of current sorting methods of radar emitter signal is not high and they are sensitive to the signal-noise-rate (SNR). To solve these problems, a novel sorting method is proposed. Firstly, Welch power spectrum of the received signal is analyzed and its energy is normalized. Then its complexity characteristics are extracted to reduce dimension and sort easily, and are used as the sorting parameters. The last sorting is accomplished by KFCM algorithm. According to simulation results, the Complexity characteristics of Welch Power Spectrum have excellent separability and stability in low SNR.
The Blind Estimation of Carrier Frequency Offset of Non-cooperative Burst Signal
Authors: Ying Wang , Richeng Guo , Kaifeng Guo , Yichen Liu 
Published: August 2020

Abstract
In order to address the challenge of carrier blind synchronization and blind demodulation for non-cooperative burst signals, a modification scheme of carrier frequency offset estimation is proposed in this paper. Due to the existence of carrier frequency offset and phase offset, the received signal constellation is circular. In the absence of prior information, a non-data-aided method is adopted to estimate carrier frequency offset of the received signal. Then the loop processing method is used to compensate and correct the carrier frequency offset and phase offset to complete the carrier recovery. Simulation results show that the proposed method has high accuracy in carrier frequency offset and phase offset correction when the signal to noise ratio is close to or higher than that of demodulation. Moreover, it has wide extension in engineering practice.
Multi-camera Panoramic Stitching with Real-time Chromatic Aberration Correction
Authors: Shen Jue , Qian Fei , Chen Xianfu 
Published: August 2020

Abstract
Due to uneven lighting conditions and differences between camera lenses, in actual engineering applications, there is a difference in brightness of the image collected by the camera, which will cause obvious gaps in video stitching and poor stitching effect of panoramic pictures. This paper designs and implements an algorithm based on the gray statistics of overlapping areas to achieve global correction, and combined with the fade-in and fade-out image fusion algorithm to make the splicing transition natural. The experimental results show that in the Visual Studio 2015 platform environment, real-time stitching of 8-channel cameras has a fast algorithm speed and can achieve a stitching speed of 25 frames per second. The video is smooth and the picture quality is good without obvious color difference.
Research on Microservice Application Performance Monitoring Framework and Elastic Scaling Mode
Authors: Wang Zhihui , Xia Ying , Sun Changhua , Cheng Lei 
Published: August 2020

Abstract
Compared with the traditional monolithic architecture, the microservice architecture style divides a system into different microservices which run in the distributed system. The complex dependencies between services bring new challenges to the monitoring analysis and quality assurance of system performance. According to the characteristics of microservice application, a performance monitoring framework based on big data is designed in this paper. It monitors and controls the microservice performance through data collection, big data storage, elastic scaling management, integrated scheduling and so on. Furthermore, an elastic scaling mode based on time sliding window and scene driven is proposed. Experiments show that this mode could realize resource expansion prediction and resources saving. This research is helpful to real-time monitoring and continuous optimization for microservices, which will effectively promote the integration process of development, testing and maintenance for microservice application in SGCC (State Grid Corporation of China).
Application and Research of Spam Classification Based on Cluster Intelligence Algorithm to Optimize SVM
Authors: Xia Zhennan , Deng Jianzhi 
Published: August 2020

Abstract
With the development of science and technology, the increasing popularity of the Internet, email has been widely used. Because of its convenience and low cost, e-mail has been used by more and more criminals to maliciously spread commercial advertisements, computer viruses and bad information. In order to resist spam, this paper proposes a spam classification method based on swarm intelligence algorithm optimized SVM. It classifies English spam and extracts features with special sensitive word coding. The model and method in this paper have certain reference value for spam classification research.
A TOPS Improved Algorithm Based on Eigenvalue Discrimination
Authors: Jinfeng Zhang , Lichun Li 
Published: August 2020

Abstract
Under low SNR, if the signal subspace estimation of TOPS (Test of orthogonality of projected subspaces, TOPS) algorithm reference frequency point is inaccurate, the error will spread to the whole frequency point, thus causing the problem of algorithm performance degradation. In this paper, a TOPS improved algorithm based on eigenvalue discrimination is proposed. This method selects the optimal reference frequency point by judging the distinguishing degree of characteristic value between signal subspace and noise subspace at each frequency point, and then uses the transfer matrix to project the signal subspace at the optimal reference point to each frequency point, reducing the error of the whole frequency band caused by the inaccurate selection of reference frequency point. This algorithm has higher resolution accuracy under low SNR, and the threshold of 100% resolution probability SNR is about 4dB lower than the original algorithm. Simulation results verify the effectiveness of the proposed algorithm.
Design and application of low power switch IC
Authors: Yang Guangyao 
Published: August 2020

Abstract
Based on PSM (pulse skip modulation) mode, this paper analyzes and optimizes the system, designs a low-power switching power supply chip, and integrates the high-voltage power MOSFET switch and power controller in one device. Different from the traditional PWM (pulse width modulator) controller, the output voltage is regulated by simple on / off control without loop compensation. The controller consists of oscillator, feedback circuit, 5.8V regulator, bypass pin under voltage circuit, over temperature protection, frequency jitter, current limiting circuit and leading edge blanking of integrated 700V power MOSFET. The chip can be applied to mobile phones, digital cameras, and chargers of low-power electrical appliances, etc.
An in-situ Evaluation Method for the Morphology of Large Format Detector Array
Authors: Huang Yue , Lin Chun 
Published: August 2020

Abstract
The morphology, especially the flatness, became more and more crucial for successful flip-chip (FC) bonding for large format detector array. For the first time an in-situ method to evaluate the flatness of bonding samples was established by linking the machine parameter and the sample attribute. The derived collimator correlation was justified by detector array and then it was used as a criterion to examine the accuracy of the bonder’s laser leveling module. The combination of the collimator correlation and the laser leveling results could theoretically show more in-situ details of the morphology and can be utilized as either a selection yardstick or a compensation canon before FC bonding. However, whether or not the vacuum system of the bonder had an impact on the morphology could not be decided at present configuration.
A Novel Big Data Index Architecture for Programming Environment
Authors: Cao Peng , Xu Haitao 
Published: August 2020

Abstract
With the rapid development of computer information technology and the upgrading of programming software, the types and number of project codes are growing rapidly, showing typical characteristics of large data such as massive, instantaneous, diverse and variable. The distributed column storage database HBase based on the Hadoop big data platform, has the characteristics of high reliability, high performance, column-oriented, and scalability. It also has good scalability, can store more than ten billions of data, and is suitable for large-scale data reading and writing, which takes advantages in processing large-scale unstructured and semi-structured software data on the programming site. So, this paper studies the big data index architecture in the programming field. In view of the low efficiency of HBase non-primary key attribute query, the inverted index is a natural platform for cloud-based big data storage and query in this large development site. Based on this advantage, this paper designs and optimizes the secondary index architecture based on the HBase for programming field big data inverted index.
Study on Control Strategy for Series-Parallel Hybrid Electric Vehicles
Authors: Xu Lei , Li Zhe , Sun Hanwen , Fan Jie , Bai Qin , Ou Yang , Wang Peng , Deng Bo 
Published: August 2020

Abstract
This paper proposed a power allocation mechanism and mode switching strategy for the series-parallel hybrid electric vehicles. A test-data based simulation platform for series-parallel plug-in hybrid electric vehicles is established and developed for theoretical verification. The results indicate that the proposed control strategy realized a more reasonable power distribution in the combined power system under various working modes, which means a remarkable improvement in vehicle fuel economy.
Research and Implementation of Digital Twin Heterogeneous Data Exchange System
Authors: Guqi Peng , Hongen Zhong 
Published: August 2020

Abstract
Digital twin is one of the most important technologies to realize system intelligence and automation, and it seamlessly integrates the digital and physical space. So far, the concept of digital twin has been proposed for nearly 15 years, and the importance of digital twin is increasingly recognized by academia and industry, with a large number of digital twin models applied in different industries. The interoperability of different models has become a major challenge for digital twins. In this paper, we propose a system for heterogeneous data exchange of different models, and demonstrates the data interaction prototype of the mechanical and thermal models of the electric box load parts, finally we evaluated the effectiveness of our system.
Application and analysis of interacting multimode Kalman filter in location algorithm
Authors: Ning Xiao 
Published: August 2020

Abstract
Aiming at the non-line-of-sight (NLOS) problem that affects the accuracy of wireless location in cellular networks, the IMM method is introduced. The method based on interactive multimode Kalman filter (IMMKF) is studied and analyzed in detail. A more complex second-order and fourth-order Markov transfer model is established to describe the wireless communication channel. The positioning performance and the factors that affect the performance of IMMKF filter are analyzed by simulation. The simulation results show that IMMKF can adaptively switch between models with the change of channel propagation environment, suppress non line of sight error, and show good positioning performance and filtering performance.