bluuebunny/crossref_metadata_2025 huggingface dataset:
Performance Optimization Of Micro-Power Wireless Transmission Based On Hardware Test
Authors: Gui Jie Hui , Zheng LI , Zhang Xu Dong , Chen YongLi , Fei LI
Published: January 2021

Wireless communication system is more unstable than wired transmission due to the influence of transmission media. However, the micro-power transmission technology applied in the power system, the hardware parameter is more susceptible to various factors, resulting in unstable communication performance. By testing the RF parameter of transmitting and receiving signals of communication products in the laboratory, it can guide to optimize the hardware circuit and improve the communication performance of wireless transmission of micro-power, which has important reference value for hardware design
Characteristic Analysis of Monobit Signal
Authors: Ji Pengfei , Yang Xiao , Xia Chenglong , Lv Huan
Published: January 2021

This paper analyzes the characters of monobit signals and gives the reason why the spurious free dynamic ranges (SFDR) of monobit signals is much lower than those of multi-bit signals. According to our analysis and simulation, if the third harmonic of a monobit signal can be filtered, the SFDR of it can be improved well. Therefore, we give the way to obtain the desired band, which do not contain any third harmonics, and the simulation results are in agreement with our design. Such way can be used to improve the performance of monobit digital receivers in engineering.
A New Modulation Recognition Method Based on Wavelet Transform and High-order Cumulants
Authors: Chen Wenxuan , Jiang Yuan , Zhang Lin , Zhang Yang
Published: January 2021

In order to improve the recognition performance of digital modulated signals under low signal-to-noise ratio, this paper proposes a new method that combines high-order cumulants and wavelet transform to extract transient features, and the recognition of six kinds of modulation signals is realized through the neural network classifier. Simulation results show that the proposed algorithm can achieve good performance under low signal-to-noise ratio. In addition, only three key features are selected in this method, which greatly reduces the complexity of the algorithm. Furthermore, the effects of sample rate, carrier frequency and symbol rate on recognition performance are analyzed and simulated for the sake of better recognition performance.
On Star Coloring of Several Corona Graphs
Authors: Cai Jin , Tian Shuangliang , An Zhuomo
Published: January 2021

Let G be a simple graph with vertex set V(G) and edge set E(G). A vertex coloring of G is called a star coloring of G if any of the paths of 4 order are bicolored. The minimum number of colors required for a star coloring of G is denoted by χs
(G). The corona product of simple graphs G of order m and H of order n is graph G ∘ H with vertex set V(G ∘ H) = {vi
|i = 1,2,⋯m}∪{vij
|i = 1,2,⋯m, j = 1,2,⋯n}, in which vi
is adjacent to every vertex of Hi
if and only if, vi
∈ V(G), vij
∈ V(Hi
). According to the existing graph dyeing literature, it has become a very important technical means to study the graph dyeing problem by using the graph structure operation. Therefore, it is of great significance to study the star coloring of graphs for studying the acyclic coloring and distance coloring of graphs, the study has strong application background and great theoretical value for computing graphs. In this paper, we find the upper bound of χs
(G ∘ H) and the exact values of χs
(G ∘ H) of the corona product G ∘ H of two graphs G and H as: χs
(G ∘ H) ≤ χs
(G) + χs
(H); χs
(Pm
∘ H) = χs
(H) + 2; χs
(K
1,m
∘ H) = χs
(H) + 2; χs
(Cn
∘ H) = χs
(H) + 2, where n ≠ 5.
Modeling and analysis of pixel quantization error of binocular vision system with unequal focal length
Authors: Lin Danlan , Wang Zhenwei , Shi Hongsheng , Chen Hong
Published: January 2021

Current Analysis of pixel quantization error has following problems in the binocular vision system. Most literatures are based on the ideal binocular vision system with equal focal length. Moreover, the precision of pixel quantization is relatively low. In order to solve above problems, an analysis method of pixel quantization error for binocular vision system with unequal focal length is proposed. Firstly, a pixel quantization error model is established and a mathematical expression is presented to characterize the pixel quantization error model. Secondly, in the case of equal and unequal focal lengths, measurement error of object point is discussed respectively. Finally, simulation experiments were conducted and the effect of some parameters on measurement error was analyzed. Reasonability and efficiency of proposed methods are verified.
An ambiguity function transformation characteristic for Radar signal sorting
Authors: Han Jun , Hu Yang , Tang Tang , Zhao Xin , Li Mingwei
Published: January 2021

The sorting rate of current methods is not high and too sensitive to the signal noise ratio (SNR). In order to solve this problem, a novel characteristic for sorting radar emitter signal is proposed. The ambiguity function Radon curve of received signal is extracted, and then a rectangle pulse sequence and a triangle pulse sequence are constructed. Furthermore, resemblance coefficients of the ambiguity function Radon curve with two pulse sequences are extracted, and are used as the sorting parameters. The advantage of this new characteristic is validated by simulation result, and the lowest sorting rate is 90%at SNR=10dB.
A Hazy Image Restoration Algorithm via JND Based Histogram Equalization and Weighted DCP Transmission Factor
Authors: Zhu Zhu , Hu Jibao , Jiang Julang , Zhang Xiaoguo
Published: January 2021

This paper proposed a three-step hazy image restoration method. Firstly, in HSI color space, we proposed a novel histogram equalization algorithm based on just noticeable difference (JND) to enhance the hazy image. Secondly, we apply the dark channel prior (DCP) to remove the image haze and compute the weighted transmission factor map. Finally, we integrated the enhancement results and dehazing results by the weighted transmission factor maps adaptively, and then the restoration result is obtained. Since the proposed method takes account of visual perception, and well balance image enhancement and image dehazing. Therefore, it results in a more natural haze-free scene for the human visual system (HVS). Experiment results demonstrate that our method achieves better restorations compared with some other state-of-the-art approaches.
Application of m-ldpc codes in multipath Rayleigh fading channels
Authors: Zhou Hui , Wang Rui , Zhao Hairu , An Zhenzhou
Published: January 2021

The fifth generation mobile communication (5G) network has been commercialized on a large scale in the world in 2020, but the wireless communication channel as an important component is a complex and changeable environment. The signal is easy to be affected by the fast time-varying channel, serious multipath interference and Doppler frequency shift, resulting in large ISI and delay. Therefore, it is necessary to process the signal before transmission. In this paper, LDPC code is used as channel coding method to study the performance of m-ldpc code in 5G wireless channel. The simulation results show that the m-ldpc code can avoid the influence of multipath channel on the signal in 5G wireless channel.
Drone Presence Detection by the Drone’s RF Communication
Authors: Lv Huan , Liu Fang , Yuan NaiChang
Published: January 2021

Unmanned aerial vehicles (UAVs), also known as drones, are expected to play an essential role in future life. However, if drone technology is misused, it will bring unpredictable harm. For example, the use of drones to engage in illegal, criminal, and terrorist activities has brought new challenges to confidentiality, security, and counter-terrorism. The demand for anti-drone systems from all walks of life is rising. These systems can detect and prevent the activities of illegal drones, so that the technology of drones can be used well. This article introduces the current mainstream methods of UAV detection, and then uses the radio frequency (RF) control and map transmission signal exchanged between the drone and its remote controller to achieve a way of passive radio detection of drones.
Research on Multi-robot Scheduling Algorithm in Intelligent Storage System
Authors: Zhu Weikang , Liu Jicheng
Published: January 2021

As an indispensable core part of modern industrial system, intelligent storage system is developing from mechanical automation to robot intelligence. Intelligent storage system is widely used with multi robots, which can replace the picker to work efficiently and realize the effective connection of operation links. How to play the cooperative operation ability of multi robot is the key research content in this field. Based on the improved genetic algorithm, this paper designs a multi robot scheduling algorithm in intelligent storage system. The simulation results show that the scheduling efficiency of this method is improved by about 10% compared with the common genetic algorithm, and it has good stability. The multi robot scheduling algorithm in intelligent warehouse system based on improved genetic algorithm has good generalization.
Implementation of Detection System of Grassland Degradation Indicator Grass Species Based on YOLOv3-SPP Algorithm
Authors: Dong Shuo , Ma Yihan , Li Chunmei
Published: January 2021

Due to climate change and human factors, grasslands in the Sanjiangyuan area have degraded. At present, most grassland workers use manual methods such as visual inspection, measurement and remote sensing technology or neural networks to conduct macro evaluation of grassland. However, the emergence of grassland degradation indicator grass is an important sign for grassland degradation. Therefore, it is simpler and more convenient to provide early warning of grassland degradation through the detection technology of degradation indicator grass species. In this paper, the degradation indicator grass species Stellera chamaejasme was used as an example, and the YOLOv3-SPP algorithm was used to detect the degradation indicator grass species. First of all, collect and process data on the spot, and establish a data set of Stellera chamaejasme for deep learning; secondly, use YOLOv3-SPP algorithm to train and test the data set. By continuously improving the quality of the data set, the accuracy of model detection is improved. Then through the test of the verification set, the accuracy rate reaches 95% and the recall rate reaches 98%. It is proved that the model can be used to detect grassland degradation indicator grass species under complex grassland background. Finally, the detection system of Stellera chamaejasme with uploading and detecting functions is realized.
Research on Digital Twin Framework of Military Large-scale UAV Based on Cloud Computing
Authors: Wang Yin-chuan , Zhang Na , Li Hongshun , Cao Junjie
Published: January 2021

Firstly, this article explains the characteristics and advantages of military large-scale UAVs, and points out the three basic problems currently encountered by military large-scale UAVs; secondly, this article is based on the current design, manufacturing and application reality of large-scale military UAVs, analyzed the urgent need to build a cloud computing-based digital twin framework for military large-scale UAVs, and discussed in detail from the aspects of test cost, integrated perception, centralized control, business prediction, and mission planning; again, this article proposed cloud-based computing The digital twin framework for military large-scale UAVs discusses the composition and functions of each layer; finally, it points out the five directions and work priorities that need to be paid attention to in the construction of the digital twin system of military large-scale UAVs, including UAV model, flight status measurement, reliable propagation channel, intelligent command and control, and capability evaluation analysis.
Research on the Application of English Course Online Examination System Based on Face Recognition Technology
Authors: Li Qiuyan
Published: January 2021

With the development of information and technology, the English course online examination has been promoted comprehensively. However, in online examination, the authentication link mostly relies on the manual authentication method, which has the limitation of the manual identification. Based on this problem, this paper proposes an online examination system for English courses which is based on face recognition technology. Face Recognition is used to judge the correctness of the user’s login identity by invoking the Baidu Face Recognition API for online live Face detection and comparison.
One Study on IEEE1588 clock synchronization algorithm based on Kalman filter
Authors: Zheng Kewang , Zhang Lei
Published: January 2021

Clock synchronization is a major indicator of the distributed network test and control system. The precise time synchronization is also one of the core technologies of the network communication of test and control system. The paper illustrates the fundamental principle for clock synchronization under IEEE1588 protocol and concludes that its synchronized accuracy is influenced by the accuracy of time stamp and transmission delay jitter through analysis. An autoregressive clock drift model has been put forward in the paper in an effort to improve the time synchronization accuracy. It makes use of the Kalman filter to estimate the deviation and drift of the master and slave clock so as to offset it. The results of simulation indicate that the method can effectively ease the impact on time synchronization for time stamp and improve its accuracy of the test and control system.
Adjacent vertex distinguishing edge coloring of the semistrong product of paths
Authors: Zhuo-mo AN , Cai Jing , Tian Shuang-liang
Published: January 2021

An adjacent vertex distinguishing edge coloring of a graph G is a proper edge coloring of G such that no pair of adjacent vertices meets the same set of colors. The minimum number of colors required for an adjacent vertex distinguishing edge coloring of G is called the adjacent vertex distinguishing edge chromatic number of G, and denoted by

χ
a
′

(
G
)

. In this paper, use the method of structural chromatic and the method of proof to the contrary and obtain the adjacent vertex distinguishing edge chromatic numbers of the semi-strong product of two paths.
Research on accelerating CEE-DGCNN event extraction algorithm based on multi-CPU platform
Authors: Li Yan , Jiang Jinfei , Xu Jinwei , Gao Zikai , Dou Yong , Zhou Haifang
Published: January 2021

With the development of the Internet, the volume of information is expanding rapidly, and the complex information makes it particularly important to extract information quickly and intelligently. Event extraction algorithm is such a kind of fast and accurate information acquisition algorithm. With the development of deep learning in recent years, deep learning also shines in the field of time extraction. CEE-DGCNN network is an efficient and accurate event extraction algorithm for Chinese text. At present, the acceleration research on deep learning in the academic community mainly focuses on GPU, FPGA and other platforms. In fact, compared with these platforms, CPU is more versatile. Considering that the algorithm should have universality and universality in industrial application, this paper makes an in-depth analysis of CEE-DGCNN algorithm to study its acceleration on CPU. Experiments were carried out on x86 and ARM architectures respectively, and good acceleration effects were achieved.
Design and Study of Simulation Model for Organization of the VHF Station Network
Authors: Luo Yingguang , Fu Guobin , Yan Qifei , Zhang Yang , Tong Jie
Published: January 2021

A scientific and reasonable construction of the organizational simulation model of the VHF station is based on executing the simulation evaluation of the organization and effectiveness of the VHF station network. First, we analyzed in detail the requirements of the VHF station network organization simulation model construction from the perspective of organization. Secondly, the entity-oriented modeling method is adopted to design the model composition of the simulation entity, the relationship between the entity models, and the entity model behavior. Eventually, the UML modeling language is employed to create a connection between entity model behavior and information interaction. The simulation model constructed in this paper can provide core model resources for the design and implementation of the simulation system for VHF station network organization. Moreover, it can also provide reference for constructing organization simulation models of the other communication network.
Design and development of constructing the basic probability assignment function software in D-S evidence theory
Authors: Wei Zhangjian , Geng Junbao , Wei Shuhuan
Published: January 2021

The basic probability assignment function is the basis of D-S evidence theory and the premise of evidence combination. A kind of basic probability assignment function generation software is designed and developed in this paper. After the index values is input, the software can automatically generate the basic probability assignment values, which meet the requirement of the users. The main functions, key algorithms, program logic, development language and interface design of the software are introduced. The calculation case is given to describe the software.
Handwritten Arabic numerals recognition system using probabilistic neural networks
Authors: Tang Yushun , Zhang Shengguo , Niu Lu
Published: January 2021

This paper presents a system for the recognition of the handwritten Arabic numerals zero to nine (0–9) using a probabilistic neural network (PNN) approach. This system can recognize handwritten input and externally imported Arabic numerals in real time, including two processes of image pre-processing and recognition. Image pre-processing involved normalization and expansion to enlarge the characteristics of the picture for easy recognition. Recognition process involves the calculation of mode distance, which can help obtain the similarity match between sample matrix and learning matrix. According to similarity matching the input feature matrix will be classified into one of the ten numbers. This study uses MATLAB to establish a graphical interface that is easy to operate. The system has good performance and strong scalability, which established a simple experimental platform for a more in-depth study of the recognition of handwritten Arabic numerals.
A Parallel Decimal Multiplier Based on a novel 4:2 Fully Redundant Decimal Adder
Authors: Yao Zewei , Cui Xiaoping , Wang Tao
Published: January 2021

Due to requirements for computational accuracy in the fields of business computing, the decimal arithmetic computing system has gradually become a research hotspot. A parallel decimal multiplication consists of three stages: partial product generation (PPG), partial product reduction (PPR) and the final product generation (FPG). In the PPR stage, a novel 4:2 fully redundant decimal adder based overloaded decimal digit set (ODDS) is proposed in this paper. The 4:2 ODDS adder is formed by the binary 4:2 compressors, a decimal compressor and a converter. Moreover, the signed-digit radix-10 code, the redundant excess-3 code and the ODDS code are used in the PPG stage. In the FPG stage, an ODDS–BCD conversion is adopted to quickly generate BCD-8421 product. The analysis and comparison by using the 45nm technology show that the proposed decimal multiplier based on the 4:2 ODDS adder has less area and better synthesis performance.
The full separability of three-qubit superposition state and its decayed states in white noise environment
Authors: Shen Weidong , Chen Xiaoyu
Published: January 2021

The research on the separability of quantum states is one of the important research directions in quantum information theory. In this paper, we propose a new entanglement witness to study the full separability of the superposition of three-qubit W and

W
¯

(the qubit inverted W state) states in white noise environment. The witness accounts for most results of separable condition of the state obtained with numerical calculation. The witness also accounts for the decayed state which is the superposition state with and terms decayed by a factor. The separability criterion from our witness is better than that of the further generalized Wootters formula.
Domestic garbage recognition and detection based on Faster R-CNN
Authors: Nie Zhifeng , Duan Wenjie , Li Xiangdong
Published: January 2021

The core of intelligent garbage sorting is target identification and detection. In order to achieve effective garbage sorting, on the basis of deep learning, the Faster R-CNN target detection model and ResNet50 image classification model are used to identify and train 3984 garbage images, and predict 3552 images. The results show that the accuracy of garbage recognition is 89.681%, the average accuracy of each garbage prediction is 91.68%, and the accuracy of each category of garbage image prediction is over 93.3%. Through the identification, detection and classification prediction of garbage images, it provides data support for the intelligent classification of domestic garbage.
The Application of Data Warehouse in Teaching Management in Colleges and Universities
Authors: Yu Xiaobing
Published: January 2021

Data warehousing refers to the process of organizing data from different sources to support the process of decision making in organizations as well as support data analytics. Data warehousing assimilates and systematizes data from across different departments in an organization to have a single analysis of the full information. This data is then used to make the decisions in an organization. However, data warehousing has been underestimated in education institutions. The reason is that they are non-profits organizations. With the increase in the number of educational institutions coming up, colleges and universities should consider the integration of such data-driven support systems to make better decisions and for more organization in the academic processes especially for those institutions with different branches. The intricacy in managing these institutions requires development on how consistent information can be relayed to the decision-makers of an institution. This paper explains the need for data warehouses in education institutions and how the teaching institutions can implement data warehousing to help in the management of the institutions. The paper also explores and reviews various methods that institutions can use to mine data. Various stages for promoting and actualizing the system have been shown.
Basic Intrusion Technology of Industrial Internet of Things—Based on Machine Learning
Authors: Wu Yizhan
Published: January 2021

With the continuous advancement of technology and the continuous development of the Industrial Internet of Things, network security has become particularly important, especially in the detection of intrusion attacks. This article briefly introduces the Industrial Internet of Things, and the current network security threats faced by the Industrial Internet of Things, as well as analyzes different intrusion methods. Three machine learning algorithms are applied in this article to analyze and compare their effects in intrusion detection. Through experiments, a more suitable machine learning model for industrial IoT intrusion detection is selected.
Research on the Construction of Comprehensive Practice Platform for Big Data Analysis of E-commerce under the Environment of Internet of Things
Authors: Yan Weibin
Published: January 2021

Due to the rapid development and wide application of Internet information technology, there is an urgent need for e-commerce talents in various industries. Internship is an important part of on-the-job training in universities, which helps to provide outstanding talents for the society, and internship management system can ensure the quality of internship. Under the Internet of Things environment, a new comprehensive practice platform for big data analysis is constructed, and high-quality e-commerce talents in society are trained on the basis of overall research, so as to give full play to their roles and functions. Practice has proved that the comprehensive practice platform of e-commerce big data analysis can improve the quality of education and students' ability.
Study on the Influence of Blended Teaching Mode on English Learners’ Motivation under the Background of Information Technology
Authors: Liu Jinfeng
Published: January 2021

With the rapid development of Information Technology (IT) and the popularization of IT-based education, blended learning mode (BLM) under the background of IT has emerged. Thus, the investigation into English learners’ motivation under the IT-based BLM is conducive to the development of China’s college English teaching. Both the quantitative and qualitative research methods are employed in this study to investigate the issue that whether BLM have effects on English learners’ motivation in universities. It can be found that the instrumental motivation is the major motivation of English learners from 6 classes. Three motivational types are higher than the average and the motivational intensity is considerably high. After a semester, three motivational types and intensity in blended learning group (BLG) have promoted separately. The results can demonstrate that employing IT-based BLM is feasible and superior, which can positively motivate foreign language teaching and learning.
Research on Online CAD Course Teaching Mode Based on N+X Mode
Authors: Mingxia Zhao
Published: January 2021

In order to further enhance the design and innovation ability of students, students are taught hierarchically through the online learning teaching platform and the knowledge module setting of product structure design. Meanwhile, based on the curriculum research of the mixed classroom teaching model, this paper is composed to enhance the initiative of students in learning, realize layered teaching, and enhance the effectiveness of teaching. Classrooms are not the only place to give a lecture, and the diversification of teaching locations and learning time can be achieved, which makes communication and guidance between teachers and students as well as cooperation and communication between students and students more convenient, so that students' team assistance ability can be effectively improved. Therefore, on the online learning platform, curriculum resources can realize the quantification of resources, which enriches the classroom and achieves the process and data evaluation of students so as to implement the objectivity and effectiveness of the evaluation.
License Plate recognition in fog weather based on deep learning
Authors: Wu Huaihong , Zhou Bing , Wei Wei
Published: January 2021

The traditional license plate recognition is generally carried out under normal conditions, but there is little work to carry out license plate recognition in fog.With the deterioration of the global environment, the probability of winter fog increases. Therefore, efficient and accurate license plate recognition under fog conditions is the research focus of this paper. This paper introduces the defogging of license plate images in foggy weather and the detailed work of license plate recognition through deep learning, which can improve the accuracy of license plate recognition in foggy weather and is conducive to ensuring the driving safety of vehicles in foggy weather.
Study on optimal allocation of rural integrated energy system with biogas and photovoltaic
Authors: Li Peng , Du Songhuai , Zheng Yongle , Su Juan , Wang Shiqian , Li Huixuan , Yang Man
Published: January 2021

The development of rural energy is directly related to the process of China's energy reform. At present, the energy structure of villages and towns in China is still unreasonable. It is urgent to build a rural energy station integrating the characteristics of rural industrial development to meet the demand of production and living load. In this paper, considering that the rural areas mainly rely on natural production economy and have the advantages of clean energy endowment, through the establishment of a rural comprehensive energy system containing biogas and photovoltaic, the model seeks to maximize the comprehensive benefits including investment cost and expected income, optimize the allocation of energy device capacity, and verify its feasibility with practical cases, so as to provide reference for future rural comprehensive energy planning and green industry Economic upgrading provides theoretical and technical support.
Research on Three-phase PWM Rectifier based on Double Closed-loop Feedforward decoupling control
Authors: Li Houxiang , Cheng Guochu , Zhang Yongming
Published: January 2021

For rectifier link widely used traditional diode rectifier circuit and brake pipe phased rectifier circuit, resulting in net side current, voltage distortion, problem of higher harmonic and low power factor, and put forward a double closed-loop feed-forward decoupling control strategy, used in three-phase voltage source PWM rectifier was established in Matlab/Simulink simulation model, compared with traditional SVPWM control of three-phase PWM rectifier, verifies the correctness of the proposed control strategy. From the simulation results, it can be seen that the voltage on the grid side is nearly consistent with the phase of the current, which realizes the operation of unit power factor and makes the voltage on the DC side reach steady-state rapidly, thus reducing the harmonic pollution and improving the power quality, which has a good practical application effect in the power transformation.
Research on Robustness of Critical information infrastructure Based on Attack-Defensive Game Model
Authors: Liu Diyang , Zhang Zhen
Published: January 2021

Because the traditional network robustness research ignores the confrontation process and information asymmetry conditions, this paper analyzes the impact of information asymmetry conditions on the robustness and simulates the information asymmetry conditions through a perturbation model. Based on the stackelberg game, an attack-defensive game model under asymmetric information is established, by solving the game equilibrium solution, the defensive resource allocation strategy that optimizes the network robustness is obtained. The simulation results show that when attack resources are scarce, the attacker tends to respond with a low priority attack; when the attack resources are abundant, the attacker tends to have a high priority attack response. Under the mixed defensive strategy corresponding to the equilibrium solution of the game, the optimization rate of the defender's robustness payoff compared with the expected return under the pure strategy reached 4% to 12%.
2 ps Time-to-Digital Converter for Frequency Synthesis in 55 nm CMOS Technology
Authors: Yao Yan , Li Zhiqun , Yang Geliang
Published: January 2021

This paper presents a 2-ps time-to-digital converter (TDC) in 55 nm CMOS technology for all-digital phased-locked loop (ADPLL) system. Innovative inverter delay chain and Vernier delay chain cascade structure is adopted in the TDC to expand the measurement range while ensuring high resolution, so as to meet the wideband application requirements. Time window technology is employed to reduce circuit working frequency to save power by extracting single rising/falling edge of clock signal. Multiplexing technology is exploited to further reduce the power consumption by reusing the rising/falling edge detection delay chain of the first-level TDC, and also the time deviation detection circuit and resolution scaling factor detection circuit of the second-level TDC. The TDC features a differential nonlinearity (DNL) of 0.31 least significant bits (LSB) and an integral nonlinearity (INL) of 0.62 LSB, with a total current consumption of 4 mA from a 1.2 V supply voltage.
Design and Implementation of On-Line Practice System Based on Software Testing
Authors: Jiang Weiyi , Deng Junyu
Published: January 2021

As an important branch of software testing, software automated testing has brought many conveniences to the B/S architecture of Web application software testing. At the same time, it has also put forward new requirements for talents in the field of software testing. It is necessary to understand the theoretical knowledge of software testing and to master the use of software testing tools. Therefore, colleges and universities must adopt a teaching model that combines theory with practice to train more excellent test talents. The online practice system adopts the B/S architecture mode, integrates Spring, SpringMVC, and MyBatis open-source frameworks for system development, realizes the function module of super administrator management background, and supports student users to practice theoretical exercises related to software testing online, and write Web-compliant Selenium test script for applying test questions. The system can refer to the Selenium test script according to the standard and compare the test script submitted by the student user. The Selenium tags, positioning methods, elements, and attribute values are regarded as important scoring objects, and finally, judge and make reasonable scoring feedback.
System Design of Network Data classification Based on Deep Packet Inspection
Authors: Lu Qi , Lin Jiadong , Su Zhou , Liu Fei
Published: January 2021

With the rapid development of the Internet, as an important method of network security protection, network data classification has become the focus of high-tech research. In order to efficiently process massive network data, filter irrelevant data packets, and resist malicious attacks, so as to ensure the safety and stability of network operating, based on the research of deep packet inspection (DPI) technology, a kind of network data classification system has been presented. This system is based on the architecture of field-programmable gate array (FPGA) and ternary content addressable memory (TCAM). Tests show that the system can meet actual requirements of network data classification.
A Design of Industrial Park Environment Monitoring System Based on NB-IoT
Authors: Chen Zilong , Zang Chunhua , Wang Wenlong , Tang Xubo
Published: January 2021

This paper describes a distributed industrial park monitoring system based on NB-IoT technology. The system uses the STM32 to control the sensors work, and uses the NB-IoT communication module to realize the remote data transmission between the monitor terminal and the network server. This design is different from the traditional monitoring system based on the wide area Internet of Things, and has the advantages of low cost, low power consumption and wide coverage area.
Chaos Analysis of the Output Game Between Multi-role Enterprises in Supply Chain
Authors: Guanhui Wang
Published: January 2021

Based on an analysis on a variety of game models in the supply chain, this paper proposes a multi-enterprise output game model under the circumstances of information asymmetry. This paper compares two types of models from the aspects of function selection, hypothesis parameters and modeling basis, and analyzes the influence of producer's output adjustment speed parameters on the whole supply chain.
Video emotion recognition based on Convolutional Neural Networks
Authors: Li Chen , Shi Yuliang , Yi Xianjin
Published: January 2021

The existing video sentiment analysis methods only obtain features from the spatial and temporal signals of the video for sentiment classification, and cannot solve the difficulty of not knowing which emotion contributes the most to the entire video sentiment analysis in the video sentiment analysis. To solve this problem, a neural network with video frame weight vector is proposed. First, the video frame feature is obtained through the reel neural network, and then the weight vector layer is used to calculate the weight of the feature, and finally the frame feature with weight is put into the LSTM Training to obtain a video sentiment analysis model. We verified on the BAUM-1s data set. The results show that this method is better than existing methods in accuracy.
Research on phishing webpage detection technology based on CNN-BiLSTM algorithm
Authors: Zhang Qiao , Bu Youjun , Chen Bo , Zhang Surong , Lu Xiangyu
Published: January 2021

The rapid development of the Internet has also brought opportunities for some illegal elements. Network attackers steal sensitive information from victims through phishing webpages to obtain economic benefits. Currently, the commonly used detection methods for phishing webpages, based on blacklist detection and webpage content feature detection, have the problems of being unable to detect newly emerging phishing webpages or requiring manual extraction of webpage features. Therefore, researchers have used Convolution Neural Network (CNN) to detect phishing webpages by automatically extracting URL features. However, its method has some limitations: (1) The memory is limited when the URL is transformed into the feature matrix, and the embedding vector of new words cannot be obtained or the effective information of sensitive words is lost; (2) the long-distance dependent feature of the URL cannot be obtained. In response to the above challenges, we proposes a phishing detection method based on CNN and Bi-directional Long Short-Term Memory (Bi-LSTM) based on existing work: based on sensitive word segmentation-- comprehensively using two existing URL segmentation methods before converting URL into eigenvector matrix; adding Bi-LSTM on the basis of convolutional neural network to obtain URL long-distance dependent features. Experimental results show that this method can achieve high accuracy, recall rate and F1 value.
WeChat Official Account Analysis of Music Users
Authors: Chen Gen-Fang
Published: January 2021

The purpose of this study is to explore the user's attention to music knowledge in our media era. The data of this study come from a WeChat official account called "learning music", which has more than ten thousand official account users. Time correlation analysis and statistical analysis were used to evaluate the data. The results are as follows: the official account of music information is mainly concerned with new users. The new attention of the daily users is relatively stable, and the daily users' use of official account numbers and reading pictures and text information are relatively random. The proportion of male to female users is close to the official account number. Compared with the proportion of the population, the female users' attention to music information is relatively high. The majority of users in simplified Chinese are concerned, which is related to the location of official account. Android system and apple system are the main terminals used by users.
Research on ADN “source-grid-load” coordinated operation index system
Authors: Liao Zheng , Li Xiaotian
Published: January 2021

With the large-scale access of distributed generation (DG), problems such as harmonic pollution and increased access point voltage have been brought to the operation of the distribution network. The active distribution network (ADN) integrates a wealth of controllable resources to promote network optimization and green energy consumption. At present, the research on the “source-network-load” coordinated operation index system focuses on a certain direction, and does not consider the multi-dimensional influencing factors. Based on this, this paper starts the research, from the perspective of safety, economy, environment and coordination. In four aspects, the PCA algorithm is used to determine the evaluation index, and the AHP model is used to establish the evaluation system, and the calculation method of each index is explained and calculated to deepen the understanding of the evaluation system established in this article.
Dynamic Security Assessment Method of Power System Based on Improved XGBoost
Authors: Ren Jihong
Published: January 2021

With the deployment of wide-area measurement systems (WAMS) equipment, dynamic security assessment (DSA) based on artificial intelligence (AI) has more and more advantages. For the power system, the number of transient stable cases is much larger than that of unstable cases, which leads to insufficient learning of unstable cases and affects the evaluation effect of the model. In addition, during the stability assessment process of the power system, the misjudgment cost of unstable case is much higher than that of stable case. Based on the above two points, we proposed a DSA method of power system based on improved XGBoost. The proposed method introduces the weight adjustment factor into the loss function to balance the quantity variance of two type cases and the difference of misjudgment cost, which greatly reduces the misjudgment rate of unstable samples. The test results on IEEE 16-machine 68-bus test system and IEEE 50-machine 145-bus test system show that the proposed method can have higher recognition of the unstable samples and can be applied to DSA.
Numerical simulation and experimental analysis of vibration characteristics of heterogeneous sheet structure with adhesive
Authors: Genglin Tang , Peng Qian , Wenfeng Zhu , Yuanhui Li
Published: January 2021

The use of steel-aluminum heterogeneous sheets and its adhesive-coated hemming process for cover parts helps to realize the lightweight of the car body, and its vibration characteristics greatly affect the NVH characteristics of the vehicle. Traditional cover parts vibration characteristics research ignores the influence of adhesives. Facing the higher performance of lightweight cover parts systems, it is necessary to establish a “sandwich”; multi-material structure model consisting of aluminum outer sheet-ductile structural adhesive layer-steel inner sheet. Based on the typical straight edge-flat surface unit structure of cover parts, this paper established a calculation model for the vibration characteristics of steel-aluminum heterogeneous sheet adhesive structure, and the effect of adhesive thickness is quantified through experimental verification. The results show that the natural frequencies of the finite element calculation model and the experimental model are highly consistent in the first two modes, and the first two natural frequencies become larger as the thickness of the adhesive increases. The shell element of finite element calculation model based on the laminated sheet vibration theory can effectively simulate the calculation of the first two modes of the steel-aluminum heterogeneous sheet adhesive structure.
Research on RF antenna for detecting corona discharge of electrical equipment
Authors: Zhang Bin , Hei Guoyu
Published: January 2021

In power systems, corona discharge often occurs, which is a common phenomenon. If it occurs in electrical equipment, then hidden dangersexist, such as poor contact between metal fittings of insulators and electrical equipment, insulation performance degradation due to equipment agingand strand breakage of transmission lines. These dangers may lead to further serious accidents. So, it is very important to detect and eliminate the hidden dangers. Because corona discharge will radiate radio frequency (RF) electromagnetic waves to the surrounding space, the detection of corona discharge can be realized by detecting RF electromagnetic waves. In this study, two miniaturized antennasare designed to detect corona discharge in electrical equipment. These antennasare rectangular spiral antennaand Hilbert antenna. Through simulation and comparison, it is found that Hilbert antenna unit is the best and the final structure is the 6 order Hilbert antenna. The final size of this antenna is 100 mm*100 mm*1.6 mm, which is portable and lightweight.
Household smart cat litter box
Authors: Wang Lihao
Published: January 2021

With the change and development of the times, more and more young people live alone in the cities, and with the pressure of work, they are often lack of company. Cats are docile in nature, like keeping neat and tidy, and don’t need too much time with their owners, so keeping pet cats is more convenient for most of people. Therefore, pet cats are very popular among young people, more and more young people start to keep pet cats as companions. In addition, with the improvement of people’s living standards, the average family can also afford to raise a cat. Whether as a companion to a child or a member of the family, pet cats are also very popular in ordinary families.

According to the surveys, most families now have some pets. But obviously it’s a problem for these families to deal with the excrement of the cats. Because of the heavy smell, every time shoveling the feces will cause a lot of trouble to people. What’s worse, the smell of feces will evaporate in the air, causing air pollution. In order to solve the above problems, we designed a smart litter box that can separate and completely seal the cat feces. It solves the problem of the difficulty in handling cat feces and the heavy smell of cat feces, and can maximize the utilization of household space. Through the fully automated function and effective human-computer interaction function of this litter box, people can greatly save the time and energy spent in processing cat feces.
Research on the Design of Sound Insulation Performance of Isolating-sound and decoupled tile Based on Local Resonance Membrane Material
Authors: Li Zongji , Zong Fangyong , Zhang Jian
Published: January 2021

In order to enhance the acoustic stealth performance of the underwater vehicle, we combine the resonance sound absorption and vibration suppression performance of the sound-absorption coating and the low frequency sound insulation performance of the local resonance membrane material, a new type of isolating-sound and decoupled tile with low-frequency sound insulation, sound absorption and vibration suppression performance is designed, and an acoustic enclosure composed of isolating-sound and decoupled tile is established. Research shows: the isolating-sound and decoupled tile cell has good sub-wavelength sound insulation ability, and the average sound insulation in the 100-1000Hz frequency band is 47dB. The acoustic enclosure composed of it can effectively isolate the reverberation sound field in the enclosure. Compared with the acoustic enclosure composed of Alberich sound-absorption coating, the average sound insulation has been increased by about 19dB.
A Detection Method of Dense Harmonics/Inter-harmonics Based on Improved All-phase Time-shifting Method and ZoomFFT
Authors: Zhang Qing , Cai Xingyue , Li Wenbo , Liu Zhaorui , Meng Xueqing
Published: January 2021

Aiming at the complex situation of intensive harmonics/inter-harmonics in power signals, this paper proposes an analysis method based on improved all phase time shift phase difference method and ZoomFFT. Firstly, the Hankel matrix of the input signal is constructed, and the TLS-ESPRIT algorithm is used to obtain the frequency components in the signal. The relationship between the peak spectral line and the frequency offset in the all phase time shift method is derived. The amplitude information of the input signal is calculated. The phase information of the input signal is obtained by analyzing the “phase invariant” characteristic of the all phase FFT spectrum. The frequency interval of adjacent frequencies is used to judge whether there is density. If there are intensive harmonics/inter-harmonics, TLS-ESPRIT method is used to calculate the center frequency of the dense spectrum and construct a complex analytic band-pass filter to improve the ZoomFFT method to extract the frequency and amplitude information of the signal at the dense spectrum; If there is no intensive harmonic/inter-harmonic, the improved all phase time shift method is used to extract the parameters of the input signal. Simulation results show that the proposed algorithm can effectively and accurately extract the frequency, amplitude and phase parameters of dense harmonics/inter-harmonics under the conditions of multiple dense spectrum, fluctuation of fundamental frequency and noise interference.