bluuebunny/crossref_metadata_2025 huggingface dataset:
Unsupervised Face Image Quality Assessment Based on Face Recognition
Authors: Huo Lei , Xiong Yanwei , Sun Jian , Nie Yuhu , Su Wei
Published: December 2022

Face quality evaluation can filter out low quality face image to save computational resources and improve the system performance, labeling the face image quality score by manual consume too much manpower. To solve this problem, an unsupervised face image evaluation based on face recognition is proposed. We use the face recognition model to calculate the features of faces and label the images quality score. The face recognition model is compressed by knowledge distillation method to obtain efficient quality assessment model. Experimental results show that this method can effectively evaluate the quality of face image and improve the performance of face recognition.
Multi-Exposures with Dose Modulation of SU-8 Based on DMD Maskless Lithography for PDMS (Dimethylsiloxane) Microchannels
Authors: Chen Qiming , Song Xianwen , Fu Renxuan , Gan Junqi , Zhou Jinyun , Liu Yibiao , Xu Yongjun
Published: December 2022

A multi-exposures with dose modulation method is presented to fabricate SU-8 mold which is used for microfluidic channels. The method used a maskless digital lithography device with a 405 nm LED source. Digital micromirror device (DMD) maskless lithograph can reach higher precision to meet the requirements of microfluidic chips. For a thick SU-8 layer, multi-exposures with low dose method can effectively suppress the T-shaped structure formed due to top overexposed and bottom underexposed. Two SU-8 molds were fabricated with 55 μm and 25 μm in height in this work. The number of exposures is 62 and 55, respectively. The actual contour of SU-8 structures closely matches the design contour. The PDMS microchannel structure was fabricated using the SU-8 mold. The minimum width of a single microchannel achieved 10 μm. This method provides a more flexible method for fabricating SU-8 molds with higher precision and is well suited for on-chip cell isolation.
A General Neural Network Deployment Framework for Edge Devices
Authors: Wang Jianshan , Wang Yi , Lou Wange , Wei Wenxia , Lv Jiaxian
Published: December 2022

As the expansion of edge devices, such as local edge servers or even IoT (Internet of Things) devices, edge computing reforms data processing flow, engendering improvement in faster insights, improved response times and better bandwidth availability. However, industry encounters computational resource constraints of machine learning on edge devices, e.g., limitation of memory and processing power. To tackle this situation, we attempt to enhance flexibility of neural network models for variable hardware constraints. In this paper, we propose a paradigm of neural network combination implementation as a primitive solution; further more, we manage to build up a general neural network deployment framework for edge devices.
A Method to Optimize the Performance of Three-VRM
Authors: Tao ZhiXiang , Huang Yang , Qiu Xiufang , Wang Jing
Published: December 2022

This paper proposes a simple and efficient VRM format display optimization scheme. The optimization effect is significant. The display of avatars has played a pivotal role in the development of all types of interactive media. VRM is an easy-to-create, share, and copyright-protect virtual image file format. VRM is an easy-to-create, share, and copyright-protected avatar format, but its common browser-based display solution, three-vrm, suffers from serious performance problems. In this project, we propose several performance optimization schemes, each of which is experimentally analyzed and verified, and finally propose a simple and efficient optimization scheme for the display of the VRM format, which achieves significant results. This technical report contains four main sections: the first provides an introduction to the background of the project and a brief comparison of the virtual image implementation options that exist on the Internet today to discover the direction and significance of the project. The technical and system features and innovations used in the project are also covered. The second part describes the research process, intermediate results, and phased conclusions of the project. In the third part, the principles of the implementation and the core code of the final solution in the project are explained and sorted out in detail. The fourth part discusses and summarises the limitations of the system and areas for improvement.
Cavity BPM Design for Laser-Driven Proton Therapy Facility
Authors: Wang Kai , Wang Kedong , Zhu Kun , Ge Huilin , Xie Xicheng , Zhu Tingru , Wang Hao , Li Jie , Cai Shixian , Zhang Caijie , Yan Xueqing
Published: December 2022

The construction of the new laser-driven proton therapy facility (CLAPA-II), designed by Peking University, has begun in Beijing. This paper describes the design of a cavity beam position monitor (CBPM) for the CLAPA-II. The proton beam which is accelerated to 100 MeV by 2-PW Laser has parameters of 108∼1010 particles range, 1 Hz repetition rate, 20∼40 mm beam length range. A non-interceptor BPM is needed to characterize the beam motion state in real time. The simulation has been performed to study CBPM properties and cross-talk.
Estimation of the Mechanical Oscillatory Power of the Drill String for Rational Sonic Drilling
Authors: Zhulay Yuriy , Nikolayev Olexiy , Kvasha Yuri
Published: December 2022

Efficiency analysis of sonic drilling of wells and the choice of rational operational modes of drill bit vibration loading to increase the rate of penetration was carried out. The rational operational modes are studied on the basis of an assessment of the power of the drilling process with a cavitation hydrovibrator. This paper presents an approach to calculating the mechanical oscillatory power of a drill bit. The approach uses a developed mathematical model of the dynamics of cavitation hydraulic vibrator with drill string. The mathematical model describes the interaction of drill string longitudinal vibrations and drill mud hydraulic oscillations at regime of the cavitation self-oscillations of the drilling fluid flow in the vibrator. The mechanical oscillatory power has been determined for the specific drill string. Rational operation modes of the cavitation hydrovibrator for efficient conversion of a stationary flow of drill fluid into drill bit mechanical oscillatory power and ensuring a high rate of penetration are evaluated.
Research on the Prediction Method of Mechanical Properties of Threaded Steel Bars Under the Crimping Coupling Action of Compression and Rolling
Authors: Xing Bangsheng , Wang Chaosong , Xia Youtao
Published: December 2022

In the production of cold-rolled rebar, there are problems such as the unclear relationship between rolling mechanism and process parameters and mechanical properties of finished products, and low reliability of mechanical properties prediction methods, which seriously affect product quality. Because of the above problems, based on analyzing the research status at home and abroad, this paper proposes an accurate prediction method for the mechanical properties of threaded steel bars, which is of great significance for improving the quality of cold-rolled threaded steel bars.
Design and Performance Analysis of Hydraulic System of Rod Unloading Device
Authors: Pan Tao , Chen YiWei , Zhang Xiaolei
Published: December 2022

Connecting and unloading rod is one of the important processes in the drilling process of submerged-hole drilling rig. The unloading rod device not only affects the labor intensity and safety of the operator, but also affects the working efficiency of the drilling rig and the service life of the drill pipe. Therefore, the research and design of the unloading rod structure is of great significance to improve the working efficiency of the submerged-hole drilling rig. According to the working requirements of the hydraulic cylinder, a double stroke hydraulic cylinder is designed which can realize the functions of the clamping rod and the guiding rod. The control process and working performance of the hydraulic control system of the rod unloading device are analyzed, and the hydraulic system diagram is drawn. The full hydraulic rod unloading device is convenient, safe and reliable, and has high efficiency of rod unloading, and improves the service life of drill pipe.
Computer Modeling of Sewing Machine Pedal Mechanism Based on Information Technology
Authors: Li Liyan , Gong Xin , Lv Xuhao , He Wenchao , Xu Ting
Published: December 2022

The pedal mechanism of the sewing machine was measured and its structural data were obtained. The essence of the motion of the pedal mechanism of the sewing machine was a crank rocker mechanism, and the motion characteristics of the crank rocker mechanism were analyzed; After mapping the components of the mechanism in CATIA software, adding constraints and assembling, a parametric model of the sewing machine pedal mechanism is formed, which lays a foundation and provides a reference for the motion simulation and dynamic characteristic simulation analysis of the hinge four-bar mechanism.
Current Performance Enhancing for DTP-PMSM with Pulse Cancellation Theory Accounting for Common-Mode Suppression
Authors: Shen Zewei , Fu Xiaoming , Zhou Dehong , Zou Jianxiao
Published: December 2022

The paper proposes the current performance enhancing method for the dual three-phase permanent magnet synchronous motor (DTP-PMSM) with identical back-electromotive force (EMF) for the two winding sets accounting for common-mode (CM) suppression. Considering the inevitable asymmetry of parameters in the two winding sets of the motor, the pulse cancellation theory is proposed which releases the duty cycle freedom of the conventional zero CM voltage (ZCMV) pulse width modulation (PWM) scheme as well as retaining the CM suppression effect. The results and explanation are provided for the proposed scheme.
Comparative Study on Thermal Performance of New Energy Vehicle Power Batteries
Authors: Zou Yanhong
Published: December 2022

With the new energy vehicles’ rapid rising, fast charging and fast discharging of power battery is gradually becoming the mainstream working mode. The heat transfer characteristics of power battery pack at different rates of charge/discharge during fast charge/discharge are studied by numerical simulation. The heat dissipation effects of pure phase change material (PCM) cooling and liquid coupled with PCM cooling on the battery module are compared, and the control effects of the above two heat transfer methods on the temperature difference and maximum temperature are analyzed. The simulation results show that when 5C fast charging and 5C fast releasing, the optimal velocity of flow is 0.05m/s, the maximum temperature of the battery module is kept within 47.33 ∘C, and the temperature difference is 3.39 ∘C. Compared with the pure phase change cooling mode, the maximum temperature of the battery module is reduced by 34.57∘ C, and the temperature difference is reduced by 1.14 ∘C. Therefore, the coupled system of liquid cooling and PCM has a good temperature control effect under the condition of fast charging and fast discharging.
UAV Automatic Pilot Inspection of 10 Kv Overhead Lines by Magnetic Sensing
Authors: Zeng Zhi , Li Yong , Su Junlong , Zhou Miaolin , Wang Hang
Published: December 2022

Automatic piloting of unmanned aerial vehicles(UAVs) is vital for the safety of UAVs and the optical image quality acquired by them. In previous effort, the automatic pilot method is based on the image or the GPS (global position system). Inspired by the bird migration using the terrestrial magnetic field, a novel autopilot method based on the magnetic field sensing above the 10 kV OHLs (overhead lines) is proposed in this paper to achieve the routine inspection. The resultant magnetic field above the OHLs is derived from Ampere circuital theorem and the automatic pilot methodology is formulated based on PI (Proportion Integral) control. The method is verified by simulation and the result shows that the inspection track of the proposed method is within the ideal position range for photograph.
Flexible Humidity Sensor Based on Polyvinylidene Fluoride
Authors: Guan Hongjian , Yang Ruilin , Tao Yi , Tai Huilin , Su Yuanjie , Wang Yang , Li Weizhi
Published: December 2022

Polyvinylidene fluoride (PVDF) is considered to be one of the most promising candidates for next-generation wearable sensors; however, the sensing ability of PVDF is worth expanding beyond its ferroelectricity. In this work, PVDF is used as matrix material for humidity detection by adding two other ingredients: lithium chloride (LiCl) and polyvinyl alcohol (PVA), optimal concentrations of LiCl and PVA are found by systematic investigation of the impact of the two inclusions on humidity sensing ability of the composites.
Powerhouse Vibration Characteristics of Disturbed Unit in Load Disturbance Test for Pumped-Storage Power Station
Authors: Wang Tao , Liu Dianhai , Xu Ershu , Zhang Fei , An Xueli
Published: December 2022

In China, most pumped-storages power plant employ design scheme of one water conveyance system with several units, especially one water conveyance system with two units. Therefore, phenomenon of hydraulic disturbance often occurs. In this paper, focusing on two units in one conveyance system of Xianju pump-storage station, i.e. Unit 1 and Unit 2, disturbed powerhouse vibration was investigated for the other unit 100% load rejected. Time-domain and frequency domain characteristics were obtained by techniques of time-domain and frequency-domain analysis. The research indicates that for the disturbed powerhouse section, the permutation entropy of vibration signals have the same trend of active power, the disturbed powerhouse section is much more affected by disturbed unit (Unit 1) than the load rejection unit (Unit 2), the maximum root-mean-square value of vibrations in the powerhouse section of the disturbed unit occurs during the active power regulation of unit 1, and the vibration signals contain rich rotor-stator interference frequency components caused by load rejection unit. The observation results provide a useful basis for the optimization analysis of powerhouse structure in the subsequent construction of pumped-storage power station.
Virtual Roaming and Remote-Control System of Marine Engine Room Based on Network Virtual Platform
Authors: Li Tingyun , Zhang Ming , Xu Yiqun
Published: December 2022

In this paper, the application of technology is briefly analyzed in virtual reality simulation system in marine engine room. The overall design and implementation is presented in virtual reality simulation system in marine engine room. The model and simulation software package are transplanted to support virtual visualization in the system.
Multi-State Recognition Method of Substation Switchgear Based on Image Enhancement and Deep Learning
Authors: He Xing , Huang Rui , Yu Minqi , Zeng Wenwei , Zhang Suihan
Published: December 2022

s. Since the current substation robot inspection process exists in the high-voltage switchgear status recognition is highly susceptible to the influence of complex environments such as low image contrast, light clutter interference, and blurred reading status details, this paper proposes an image enhancement and deep learning based substation switchgear state recognition method. A multi-scale Retinex-based image enhancement is proposed to enhance the adaptability of outdoor switchgear images to light changes; improve the YOLOx target detection network to introduces a lightweight ECA attention mechanism without dimensionality reduction based on the original YOLOx model’s backbone network CSPDarknet, allowing the model to learn classification features while also focusing on learning spatial features. The experimental results show that the improved network can accurately identify the boundary information of anomalies, and the quality of its prediction results will not be reduced for noise-containing data, and the network shows strong generalization, robustness, accuracy and rapidity, providing certain conditions for realizing substation equipment condition monitoring.
Characterisation of the Rigid-Flexible Coupling Dynamics of a Rope-Driven Aerial Robotic Arm
Authors: Yang Haoyuan , Zheng Xin
Published: December 2022

In order to improve the motion accuracy and dynamic performance of the aerial robotic arm, a 2-degree of freedom rope-driven aerial robotic arm is designed for the increasingly complex sampling working conditions. Firstly, a three-dimensional model of the robotic arm is established. Secondly, the dynamics of the aerial robotic arm with multi-body system is modeled by applying Spatial operator algebra. Further, the modal frequencies of different orders are obtained by modelling the flexible bodies of the specified components. Finally, a joint simulation is carried out using ADAMS and ANSYS under the same driving function to obtain a rigid-flexible coupled model of the robotic arm and to obtain the dynamic performance of the main components in terms of displacement, angular velocity and angular acceleration. The conclusion shows that the consideration of the flexible deformation of each joint is very necessary in the study of the system, and the rigid-flexible coupling modeling is closer to the actual, and the results are consistent. The obtained results also show that the robotic arm has a wide applicability, indicating the correctness of the design structure, and laying the theoretical foundation for the subsequent control system and structural optimization.
Research on Transformer Fault Diagnosis in Extreme Weather Based on MDT-AdaBoost Algorithm
Authors: Fu Zhengzheng , Fan Songhai , Liu Xi , Cui Tao , Zhao Fuping , Bu Xianghang , Wu Yiming
Published: December 2022

In view of the frequent occurrence of power system disasters in extreme environments, extreme weather will lead to transformer faults and increase the risk. Therefore, it is very important to identify transformer faults in extreme weather. In this paper, a transformer fault diagnosis method based on MDT-AdaBoost algorithm and kernel principal component analysis is proposed. Firstly, the transformer state characteristics and weather characteristics are taken as input features, and the kernel principal component analysis is used to reduce the dimensionality Then the MDT-AdaBoost algorithm is used to diagnose and identify transformer faults. Finally, simulation results show that the accuracy rate of transformer fault identification using the proposed method reaches 94.81%, and the recognition accuracy converges rapidly with the increase of decision tree depth and iteration times. The accuracy and effectiveness of the proposed method are verified by simulation, which provides a reliable reference for transformer fault diagnosis under extreme weather conditions.
Development of Hydrogen Circulation System Test Platform for High-Power Fuel Cell
Authors: Li Dan , Chen Juexiao , Feng Yong , He Miaomiao
Published: December 2022

The increasing demand for high-power fuel cell system pushes the improvements of each subsystem, and hydrogen circulation system is one of the key subsystems. Therefore, it is necessary to establish a test platform for hydrogen circulation subsystem with complete testing capabilities and reliability. However, the research on the hydrogen circulation system test system is obviously lagging, especially in the performance test of the core components of the hydrogen circulation pump and the ejector. This paper adopts the modular design idea, develops a complete and reliable comprehensive performance test platform for hydrogen circulation system, designs the corresponding closed-loop control strategy of pressure and temperature, and finally conducts test verification.
Attack and Improvement of a Hidden Vector Encryption Scheme
Authors: Wang Ke , Wang Zhikun , Luo Song , Guan Zhi
Published: December 2022

Hidden Vector Encryption (HVE) is a new kind of attribute-based encryption in which a vector is hidden in the ciphertext or linked with the secret key. In ESORICS 2014, Phuong et al. proposed an HVE scheme with constant-size ciphertext which is constructed in the prime order setting. In this paper, we show that Phuong et al.’s scheme is not vector-hiding due to public parameters in their scheme leak some information about vectors. Furthermore, an improved HVE scheme is proposed in the prime order setting and its security is proven in the security model. Comparison shows our scheme has more efficient in decryption than current other HVE schemes.
Performance Analysis of Aerial Base Station Cellular Network
Authors: Ding Xue , Qian Gongbin , He Chunlong
Published: December 2022

In this paper, we model the cellular network consisting of aerial base stations (ABSs) which follow homogeneous Poisson Point Process (PPP) and an independent collection of random users is considered. We assume that each user communicates with the closest ABS. In particular, we deal the interference signals with Laplace transform. As a result, we can obtain a tractable expression of the coverage probability. We have found that there is a maximum coverage probability which can be reached by an optimal ABS density and with low signal-to-noise ratio (SNR), the optimal ABS density gets larger when path loss exponent (PLE) increases. Simulations under high or low SNR condition have shown that the influence of PLE on coverage probability is quite different in spite of changing signal-to-interference-plus-noise ratio (SINR) threshold or ABS density.
A Low Power Test Data Compression Scheme for Scan Test
Authors: Ye Bo
Published: December 2022

In this paper, an uncertain state filling method is proposed, which can not only effectively reduce the scan shifting power consumption, but also reduce the test time simultaneously for scan test. This method is based on the threshold algorithm of uncertain state filling, which can both reduce weighted transitions metric (WTM) and improve compression efficiency for test vectors. Experiments with ISCAS’89 benchmark circuits show that the proposed algorithm can make a good tradeoff between power consumption and compression efficiency.
Kernel Data Evaluation System and Modeling Based on ABC-BP Hybrid Algorithm
Authors: Xu Kuozhi , Nie Yangbo
Published: December 2022

With the rapid development of the Internet, the demand for high-quality nuclear data services continues to grow. As the main carrier of network traffic, data centers face huge challenges in network resource management. In order to optimize the performance indicators of network flow (such as delay, jitter and packet loss rate, etc.), it is necessary to study the core data evaluation system and modeling. Through the theoretical introduction of nuclear data evaluation system and modeling and ABC-BP hybrid algorithm, this paper analyzes from three aspects: comprehensive data evaluation, nuclear data network modeling, and data evaluation system construction. Based on the relevant theoretical research of ABC-BP hybrid algorithm Based on the analysis of the feasibility of the nuclear data evaluation system and modeling research based on the algorithm theory, the existing nuclear data evaluation system and modeling system in the relevant literature are deeply discussed and studied. Scientific and operable evaluation index system to conduct nuclear data evaluation system and modeling for the ecological development of my country’s government open data, so that it can truly understand its own system status. According to the existing problems of the system, reasonably coordinate and configure the relationship between the elements in the system, and finally realize the balanced, stable and efficient operation of the system.The final experimental results show that when the data fusion coefficients are 49.7, 31.6, 56.3, 73.9 and 60.5, the corresponding data compatibility degrees are 76.9%, 80.2%, 78.4%, 77.1% and 79.3%, respectively. And the compatibility of the nuclear data evaluation system is always maintained at the level of about 78%, indicating that the nuclear data evaluation system based on the ABC-BP hybrid algorithm has good feasibility in terms of data compatibility.
Research on Cultivating Senior High School Students’ Innovative Thinking in Mathematics Based on Bloom’s Taxonomy of Educational Objectives
Authors: Wang Yujie , Huang Zhiqin
Published: December 2022

Bloom’s taxonomy of educational goals divides the educational goals in the cognitive field into different levels from low-level to high-level, and the highest level is innovation. Our country is stepping into the era of knowledge economy step by step, cultivating students’ innovative thinking is the need of The Times development, the key to maintain the prosperity of national culture, and the development of national science and technology needs the promotion of education innovation. But the vast majority of middle school students lack of thinking in the learning process in our country, the lack of space imagination ability and logical thinking ability in the process of teaching, and teachers failing to cultivate students’ various mathematical ability, based on this the paper in bloom education target on the basis of how to improve the students’ mathematics creative thinking put forward the following Suggestions: Teachers should attach importance to preview before class and introduction, and students’ learning methods should be reformed: skillfully use “flipped classroom”, “group cooperative learning”, attach importance to the cultivation of students’ observation and analysis ability, attach importance to classroom summary and form knowledge system. And under the guidance of the classification of educational objectives, the teaching design of the sum of the first n terms of geometric progression is carried out.
Study Analysis of Printed Monopole Antenna for C and X Band Application
Authors: Jayananda Singh Samom , Kumar Rajesh , Dixit M.M.
Published: December 2022

In this design, dimension of the proposed antenna is 20 × 25 × 1.6 mm3 with FR4 substrate having circular patch fed with co-planar waveguide (CPW) that operates at numerous resonance frequencies between 5 and 10 GHz. The proposed antenna can be used well for low range communication transceivers in the C and X bands, according to simulation results. The optimal parameters for UWB antenna are the fractional bandwidth, which should be greater than 85%, and VSWR, which is another parameter. For the best and most efficient technique of using printed monopole antenna, the range of Ultra wideband (UWB) bandwidth should be lower than 2. Simulate data suggest that the proposed antenna has outstanding impedance matching capabilities, achieving a peak gain of 8 dBi. Results indicate that the ground plane’s dimensions of 15.9 mm and 11.4 mm are the most suitable for UWB due to its return loss of -41.86 dB, fractional bandwidth of about 89%, and Voltage standing wave ratio(VSWR) of less than 2 within the frequency spectrum. This modified prototype antenna has a decent, omnidirectional radiation pattern.
Intelligent Patrol Route Visualization Design Based on Police Big Data
Authors: Hao Weiyang , Guo Deming , Zhou Qi , Sha Xinyi
Published: December 2022

In recent years, the public security department has insisted on technology to promote the high-quality development of public security work in the new era. It not only builds a three-dimensional patrol and defence system, but improve the level of patrol, defence and control management vigorously. At present, an intelligence-aided patrol system has been initially formed, and video patrols and law enforcement duty supervision have been carried out. However, the application of new technologies and the innovation of policing mechanisms in public security departments still have some problems. For example, unbalanced regional development, insufficient deepening of intelligent applications and insufficient systematization of applications, which greatly restrict the effectiveness of public security patrol and defence in practice. Based on this, our study identifies the crime hotspots in the city through EXCEL data analysis, and identifies them as patrol points. By applying the shortest route algorithm in the genetic algorithm, a precise patrol route is formed. Based on this, the precise patrol route is displayed on a map using a visualization tool and then fed back to the police terminal equipment. This project enables police patrols to be more accurate and patrol routes to be optimized. It improves the police patrol system and provides the basis for the construction of an intelligent patrol system.
Analysis of the Mainstream MBSE Methodologies from the Modeling Practice View
Authors: Guo Yuqiang , Zhao Hui , Qi Keke , Guo Junxian
Published: December 2022

Model-based System Engineering (MBSE) is proved an effective way to develop complex systems, and lots of MBSE methods/tools have been developed in recent years. Lack of deep analysis of mainstream MBSE methods/tools and guidance in performing MBSE under the general SE process leads to a rough patch for design staff to transform from document-based system engineering to model-based system engineering. In this paper, step-by-step modelling practice following the official tutorials is performed to analyze MagicGrid (MagicDraw), ARCADIA (Capella), and HarmonySE (Rhapsody). This is the first time to analyse the mainstream MBSE methodolgies from the uniform INCOSE SE practice view and compare the method and modeling tool differences. These will provide a detailed guide for the engineers to transform from document-based system engineering to model-based system engineering.
Quantitative Inversion Radar Imaging: A Physical Remote Sensing Modality of High Resolution
Authors: Sun Shilong , Dai Dahai
Published: December 2022

Quantitative inversion techniques have been widely used in many fields where the electric or magnetic fields are sampled in a wide range of viewing angles. In this paper, the quantitative inversion imaging scheme has been proposed for remote sensing radar systems with multiview-multistatic sensing configuration. The cross correlated contrast source inversion method is used in witch the cross-correlated term has been used as a regularization technique for, to some extent, overcoming the ill-posedness. Preliminary simulation results demonstrate that quantitative inversion radar imaging shows physical resolving ability for remote sensing imaging. To the best of our knowledge, it is verified for the first time that physical imaging is feasible with limited range of viewing angles (less than 65° in this paper). Therefore, we remark that in remote sensing applications, the quantitative inversion radar imaging scheme shows potential of identifying radar targets not only with finer geometric resolutions but also in an additional physical dimension of the electromagnetic characteristics. Extension of this inversion scheme to the multibistatic sensing configuration will be more impressive in the field of remote sensing radar imaging.
A Study on the Strategy of Vocational English Digital Teaching Materials Development in the Context of Internet+ – Taking the Integrated Course of English as an Example
Authors: Sun Hui , Zhu Huaizhong , Wang Lisha
Published: December 2022

The advent of the age of intelligence has created a more urgent need for the digitisation of teaching materials in higher education institutions. The evaluation of English digital teaching materials is an extremely important and special window for the country to conduct cultural exchanges. [1] However, there are difficulties in digitising teaching materials in higher education institutions. The low importance attached to the construction of digital teaching materials, the lack of relevant teacher training, the insufficient investment in hardware funding, the low utilisation rate of resource libraries and the lack of effective inter-school communication and resource sharing have led to some repetitive development and waste. The relatively weak knowledge base, learning ability and willingness to learn of higher vocational students have always made the preparation of digital teaching materials for higher vocational English difficult. The author reconstructs the strategy of writing digital teaching materials for Integrated English Course based on three major dimensions: teaching materials, application of information-based learning software, and Internet+ exam, and explores five sub-dimensions: production team, a la carte lesson plan writing, cross-application of information-based learning software, knowledge base construction, and Internet+ exam. The use of digital teaching materials over two academic years has effectively improved the students’ ability to systematically learn theoretical knowledge and intelligently apply information software.
A Design of Hierarchical Bloom Filter
Authors: Ma Tao , Wang Bin
Published: December 2022

Shifting Bloom filters use location offset to encode state values for a set of elements. In spite of its novelty, classification error rate inherent to shifting Bloom filters needs to be improved. In this paper, we design a hierarchical shifting bloom filter to address this issue. Firstly, state values of elements in a set are partitioned into disjoint groups. Each group is assigned a unique group number. Then these group numbers implicitly assigned to elements are encoded by a major shifting Bloom filter(MShi ftBF). Each group is further associated with a secondary shifting Bloom filter(SShiftBF). State values of elements belonging to some group are encoded by the corresponding SShiftBF separately. Compared with standard Shifting Bloom filters, the advantage of the hierarchical structure of the proposed scheme is that we can improve both classification error rate and false positive rate. Finally, we provide theoretical analysis and conduct simulation experiments to demonstrate that the proposed scheme outperforms standard shifting Bloom filters.
A Discrete Clutter Reduction Method for Drone Detection with High Resolution Radars
Authors: Vu Hop Tran , Van Loi Nguyen , Van Tien Pham , Dinh Thang Phung
Published: December 2022

The paper deals with a problem of noise reduction for drone detection with high range resolution radars. The considered discrete clutter includes land vehicles, birds, etc. This clutter involves in the radar echo signals and could not be rejected by using classical methods, for example moving target indicator (MTI) and moving target detection (MTD). As a result, this clutter forms the false alarms on the radar screen. To reduce clutter we propose a new method which is based on the target’s Doppler dispersion and moving characteristic. The study is integrated on a drone detection radar and is tested with a variety of drones in different moving scenarios. The test results show that the proposed method achieves a better performance than that one recently published.
Artificial Intelligence Project Practice Based on K210
Authors: Shi Yijin , Chen Bin , Tan Guisheng , Zhang Guiliang
Published: December 2022

Under the background of “New Engineering Course”, aiming at the difficulty and lack of project resources in the practice course of “Introduction to Artificial Intelligence”, the project design of practice course of Introduction to Artificial Intelligence based on K210 chip is proposed. Based on Python language, practical projects are designed with K210 chip to be applied to the introductory course of Artificial Intelligence. The results show that the students’ final grades are improved and their interest and enthusiasm are increased through practical courses. The design of AI practical course based on K210 can provide reference for this course and other interdisciplinary introductory courses.
Low Complexity and High Spectrum Efficiency Hybrid Precoding for Massive MIMO Systems
Authors: Xie Gang , Pei Zhixiang
Published: December 2022

Recently, alternating minimization has been widely employed for hybrid fully-connected precoding schemes, whereas the complexity is too high. In order to further reduce the complexity while maintaining the performance of single user point-to-point millimeter wave multiple-input multiple-output (MIMO) systems, we propose an alternating minimization algorithm of inverse matrix’s phase extraction based on orthogonal matching pursuit (AIPO). Firstly, both the analog and digital precoding matrices are obtained by orthogonal matching pursuit algorithm. Then, the analog precoding matrix is updated using the phase information extracted from the digital precoding matrix and the optimal digital precoding matrix. Finally, the local optimal solution can be iteratively obtained under the least squares criterion and the modulus constraint. Simulation results verify that the proposed algorithm is capable of dramatically decreasing the complexity by more than sixty percent without compromising spectrum and energy efficiencies.
A Method of Anti-Nonsynchronous Short Pulse Jamming Based on Waveform Entropy
Authors: Hu Zijun , Chen Xinliang , Zhou Leizhen , Liang Zhennan
Published: December 2022

In the condition of complex electromagnetic environment and multifarious methods of activate jamming, the anti-jamming approach has been highlighted. Anti-jamming method based on waveform entropy is used to counter nonsynchronous short pulse jamming because of its low compute complexity and easy implementation. This paper analyzes the anti-jamming performance, obtain the decision threshold value by taking use of kernel function, and exhibit the influence on radar system. The equivalent signal-to-noise ratio is improved by at least 12.2 dB compared with normal detector.
Intelligent Judgment Method of Superimposed Label Recognition Technology Based on a Deep Learning Target Detection Algorithm for Detecting Wiring Errors in Current Transformer Tests
Authors: Xu Jia-Heng , Yu Lian-Song , Yang Wei-Wei , Rong Xiao , Luo Wei , Song Na , Hu Hua-Feng
Published: December 2022

This paper presents a novel method of intelligent detection of transformer wiring tests. It combines a new deep learning-based object detection algorithm with a tag code identification technique. Complex wiring in the current transformer error test scenarios implies a need for frequent human testing and judgment by digitizing the equipment terminals and the connected wires in the test. The automatic identification of the test connection lines is realized, relying on learning from the standard wiring and logically binding the standard wiring relationship. The proposed method is instrumental in greatly saving labor costs, reducing the possibility of human error, improving work efficiency, and developing a new concept of current transformer error test training for new employees.
Emulation of the Updated CANARIE Backbone Network Topology Under IPv6 Up to 2022
Authors: Castillo-Velazquez Jose-Ignacio , Velazquez-Cruz Nelly-Guadalupe
Published: December 2022

The National Research and Education Networks or Advanced Networks implemented in all countries in the world are the alternative Internet to the commercial Internet which was developed for education and experimental purposes beginning with the Internet 2. Our interest is to study the CANARIE topology after 27 years of the foundation of the pan-Canadian advanced network which now interconnects all the thirteen provinces and territories in the country. In this work a connectivity and management emulation for the updated 2022 backbone topology of CANARIE was developed under IPv6 protocols. So, emulator GNS3, Wireshark, iReasoning MIB browser, Virtual Box and Kali Linux were required to emulated CANARIE backbone infrastructure using the best possible approximation with the available resources, considering that real infrastructure is overly expensive and just supported by internet service providers. Results were successful for connectivity and management tests, showing no significative changes when Canada expanded its advanced network. Emulation uses a lot of CPU and RAM resources, but it also shows some limitations for GNS3 when comparing to real bandwidth scenarios. CANARIE maintains important connections to support international projects with other advanced networks GEANT in Europe, APAN in Asia, AFRICACONNECT through GEANT and CLARA in Latin America through Internet2 in USA. Emulating is the alternative for backbone networks for characterizing advanced networks around the world which uses expensive equipment only available by the Internet Service Provider companies.
A Massive-Cargo Transportation Routing Model Based on Reinforcement Learning
Authors: Li Yi-shun , Wei Ming
Published: December 2022

Considering the size (length, width, and height) and weight of massive cargos and on the basis of satisfying the throughput capacity of the road network, a massive-cargo transportation routing model was proposed to find the shortest transportation route based on the origin and destination. According to the characteristics of the routing problem, a reinforcement learning algorithm was designed to solve the problem and determine the strategy, reward function, value function, and environment model. Additionally, based on a case study, an optimized transportation plan was developed and the model sensitivity was analyzed to verify the validity and correctness of the proposed model and algorithm.
Uncertainty Measurement of Variable Precision Fuzzy Soft Rough Set Model
Authors: Wang Xinyi , Wang Qinghai
Published: December 2022

Aiming at solving the uncertainty of knowledge in variable precision fuzzy soft rough set model. Firstly, from the perspectives of the approximated set and fuzzy equivalent soft approximation space, the uncertainty measurement methods of variable precision fuzzy soft rough set model are defined, such as information granularity, information entropy, rough entropy, etc; Secondly, many related theorems of the measurement methods are given and proved, the monotonicity of the measurement methods are obtained when the fuzzy equivalent soft relation satisfies the inclusion condition; Finally, the feasibility and validity of the definition are verified by an example.
Image Restoration of an Object Viewed Through a Polycapillary X-Ray Lens with Square Channels Using the Concept of a Space-Variant Point-Spread Function
Authors: Zhou Mo , Wu Yiming , Pan Kai , Du Zelin , Yi Tiancheng , Sun Tianxi , Liu Zhiguo , Li Yude
Published: December 2022

A polycapillary X-ray lens with square channels is a type of new X-ray optical device that is suitable for both X-ray focusing and imaging. Similar to micropore optics (MPO), the square matrix array of this lens contributes to the good correspondence between each individual channel and each pixel of a position-sensitive detector. The tiny difference in the curvature of each channel makes the point-spread function of this lens spatially variant. To realize image restoration of the raw data viewed through this lens, a Slice method called the Lucy-Richardson overlap-save method using total variation (LROS-TV) was used. In this work, a series of simulations were conducted to investigate at what flux and contrast levels the image features of an object can be resolved. A simple coaxial imaging experiment was also conducted to verify the LROS-TV method by changing the current of the X-ray tube from 300 to 600μA. In this paper, it was found that the slice method is suitable for image restoration of an object viewed through a polycapillary X-ray lens with square channels.
Stability Evaluation of Computational Intelligence-Based Subset Feature Selection Methods on Breast Cancer Data Analysis
Authors: Yu Shaode , Liu Boji , Li Bingjie , Jin Mingxue , Wu Junjie , Yu Hang
Published: December 2022

The stability of computational intelligence based subset feature selection (CI-SFS) has not been explored. In this study, 44 methods are evaluated on BCDR-F03 using 5 stability estimators. Experimental results identify 3 methods achieving 0.55 or higher scores from two estimators, 7 methods leading to good classification (area under the curve ≥ 0.80) and 4 potential signatures helping cancer diagnosis. Conclusively, most of the CI-SFS methods seem sensitive to data perturbation and different estimators cause inconsistent results. In future work, attention should be paid to developing robust fitness functions to enhance feature preference and designing advanced estimators to quantify the feature selection stability.
Research on Radar Burn-Through Range Under Noise Jamming Based on Radar Equation
Authors: Zhang Hua , Chen Yuntao , Wang Yi , Wang Litao , Qin Gen
Published: December 2022

Based on the characteristics of radar noise jamming and radar equation, the maximum operating range formula of radar under jamming condition is analyzed by using the logarithmic method, and the burn-through distance of radar under shield jamming and self-defense jamming is solved by taking examples, and the jamming effect is compared and analyzed.
Classification of Characteristic Factors of Brain Functional Network Using Decision Tree
Authors: Yuan Peng , Zheng Zuogang , Yuan Xinshuo , Zhang Lanhua , Wang Mei , Wang Xiaoyan , Ji Xucai
Published: December 2022

In order to explore the classification methods from imaging data, we propose to establish the feature classification order by building a classification tree with characteristic factors of brain functional network aided by calculating of network topology based on graph theory. By preprocessing the imaging data and modeling the networks with professional platform, we get the topology parameters as the input of the C4.5 decision tree, and then get the classification feature and classification tree by calculating the information gain ratio. The results show that the classification prefers holistic characteristics and quality characteristics. By programming and the samples test, it is feasible to extend the classification with network characters learning based on the processing results of multi-modal imaging data and machine learning algorithms.
A Stability Evaluation of Feature Ranking Algorithms on Breast Cancer Data Analysis
Authors: Yu Shaode , Li Bingjie , Liu Boji , Jin Mingxue , Wu Junjie , Yu Hang
Published: December 2022

Stability of feature preference is a most vital yet rarely explored characteristics of feature ranking algorithms. In this study, 23 feature rankers are evaluated on 4 breast cancer datasets (BCDR-F03, WDBC, GSE10810 and GSE15852) using an advanced stability estimator (S), and 3 rankers are identified showing good stability (S ≥ 0.55) consistently on the four datasets. It suggests that data sufficiency is crucial for the construction of feature importance measure, since more rankers are stable on medical imaging datsets (BCDR-F03 and WDBC) than on gene expression datasets (GSE10810 and GSE15852), and high-dimensional small-sample-size datasets are big challenges of stability estimation. In our future work, more attention should be paid to the topics of developing stable feature ranking algorithms and stability estimators to well tackle different sizes of medical datasets.
Integrated Management System of Expressway Intelligent Service Area
Authors: Duan Jianxian , Li Yanyan , Yu Qingqing , Li Anqi , Shao Yongjun
Published: December 2022

Different from traditional service areas, intelligent service areas can better adapt to the construction of expressway networks and meet the high-level needs of the current society for service areas. Based on big data analysis and machine vision technology, a new intelligent service area management system for the expressway has built in this paper, which covers staff management, intelligent washroom, vehicle flow and passenger flow analysis and statistics, intelligent parking guidance, and senseless refueling payment, and other functions, which can promote the synchronous improvement of service area supervision and management and service quality.