bluuebunny/crossref_metadata_2025 huggingface dataset:
An exploratory longitudinal study of vocabulary development in
bilingually exposed children with autism spectrum disorder (ASD) in
the United Arab Emirates
Authors: Shaalan Saleh , Egan Kerry , Gould Daniel , Olsen Pam
Published: July 2021

This is a longitudinal study of the vocabulary
development of 29 children with autism spectrum disorder (ASD) in
the UAE, who are aged 44 to 77 months and enrolled in a bilingual
intensive intervention program. These children were assessed at
entry, 6 months, 12 months, 18 months, and 30 months using receptive
and expressive vocabulary tests in Arabic and English. MANOVA
results and follow-up tests showed significant increases in
vocabulary skills across times and in both languages. Pearson
correlation coefficients showed strong positive correlations between
the four vocabulary tests. Results confirmed findings of no
detrimental effects of bilingual intervention reported in other
languages. Moreover, results showed that speaking abilities at the
start of the program did not correlate with their expressive
vocabulary at the end of the study. We discuss limitations of this
study and some considerations when conducting similar research in
the future.
Loss of crossbridge inhibition drives pathological cardiac hypertrophy in patients harboring the TPM1 E192K mutation
Authors: Sewanan Lorenzo R. , Park Jinkyu , Rynkiewicz Michael J. , Racca Alice W. , Papoutsidakis Nikolaos , Schwan Jonas , Jacoby Daniel L. , Moore Jeffrey R. , Lehman William , Qyang Yibing , Campbell Stuart G.
Published: July 2021

Hypertrophic cardiomyopathy (HCM) is an inherited disorder caused primarily by mutations to thick and thinfilament proteins. Although thin filament mutations are less prevalent than their oft-studied thick filament counterparts, they are frequently associated with severe patient phenotypes and can offer important insight into fundamental disease mechanisms. We have performed a detailed study of tropomyosin (TPM1) E192K, a variant of uncertain significance associated with HCM. Molecular dynamics revealed that E192K results in a more flexible TPM1 molecule, which could affect its ability to regulate crossbridges. In vitro motility assays of regulated actin filaments containing TPM1 E192K showed an overall loss of Ca2+ sensitivity. To understand these effects, we used multiscale computational models that suggested a subtle phenotype in which E192K leads to an inability to completely inhibit actin–myosin crossbridge activity at low Ca2+. To assess the physiological impact of the mutation, we generated patient-derived engineered heart tissues expressing E192K. These tissues showed disease features similar to those of the patients, including cellular hypertrophy, hypercontractility, and diastolic dysfunction. We hypothesized that excess residual crossbridge activity could be triggering cellular hypertrophy, even if the overall Ca2+ sensitivity was reduced by E192K. To test this hypothesis, the cardiac myosin–specific inhibitor mavacamten was applied to patient-derived engineered heart tissues for 4 d followed by 24 h of washout. Chronic mavacamten treatment abolished contractile differences between control and TPM1 E192K engineered heart tissues and reversed hypertrophy in cardiomyocytes. These results suggest that the TPM1 E192K mutation triggers cardiomyocyte hypertrophy by permitting excess residual crossbridge activity. These studies also provide direct evidence that myosin inhibition by mavacamten can counteract the hypertrophic effects of mutant tropomyosin.
Isotope effects on transport in LHD
Authors: Tanaka K , Nagaoka K , Ida K , Yamada H , Kobayashi T , Satake S , Nakata M , Kinoshita T , Ohtani Y , Tokuzawa T , Takahashi H , Warmer F , Mukai K , Murakami S , Sakamoto R , Nakano H , Osakabe M , Morisaki T , Nunami M , Tala T , Tsujimura T , Takemura Y , Yokoyama M , Seki R , Igami H , Yoshimura Y , Kubo S , Shimozuma T , Akiyama T , Yamada I , Yasuhara R , Funaba H , Yoshinuma M , Goto M , Oishi T , Morita S , Motojima G , Shoji M , Masuzaki S , Michael C A , Vacheslavov L N
Published: July 2021

Isotope effects are one of the most important issues for predicting future reactor operations. Large helical device (LHD) is the presently working largest stellarator/helical device using super conducting helical coils. In LHD, deuterium experiments started in 2017. Extensive studies regarding isotope effects on transport have been carried out. In this paper, the results of isotope effect studies in LHD are reported. The systematic studies were performed adjusting operational parameters and nondimensional parameters. In L mode like normal confinement plasma, where internal and edge transport barriers are not formed, the scaling of global energy confinement time (τ
E) with operational parameters shows positive mass dependence (M
0.27; where M is effective ion mass) in electron cyclotron heating plasma and no mass dependence (M
0.0) in neutral beam injection heating plasma. The non-negative ion mass dependence is anti-gyro-Bohm scaling. The role of the turbulence in isotope effects was also found by turbulence measurements and gyrokinetic simulation. Better accessibility to electron and ion internal transport barrier (ITB) plasma is found in deuterium (D) plasma than in hydrogen (H). Gyro kinetic non-linear simulation shows reduced ion heat flux due to the larger generation of zonal flow in deuterium plasma. Peaked carbon density profile plays a prominent role in reducing ion energy transport in ITB plasma. This is evident only in plasma with deuterium ions. New findings on the mixing and non-mixing states of D and H particle transports are reported. In the mixing state, ion particle diffusivities are higher than electron particle diffusivities and D and H ion density profiles are almost identical. In the non-mixing state, ion particle diffusivity is much lower than electron diffusivity. Deuterium and hydrogen ion profiles are clearly different. Different turbulence structures were found in the mixing and non-mixing states suggesting different turbulence modes play a role.
Physical aspects of anisotropic compact stars in

gravity with off diagonal tetrad
Authors: Zubair M. , Ditta Allah , Abbas G. , Saleem Rabia
Published: July 2021

This study addresses the formation of anisotropic compact star models in the background of

gravity (where T and

represent the torsion and trace of the energy momentum tensor, respectively).

gravity is an extension of the

theory, and it allows a general non-minimal coupling between T and

. In this setup, we apply Krori and Barua's solution to the static spacetime with the components

and

. To develop viable solutions, we select a well-known model

(where αand β are coupling parameters, and ϕ indicates the cosmological constant). We adopt the conventional matching of interior and exterior space time to evaluate the unknowns, which are employed in the stellar configuration. We present a comprehensive discussion on the stellar properties to elaborate the anisotropic nature of compact stars corresponding to well-known models:

,

,

,

, and

. Via physical analysis, it is observed that the solution of compact spheres satisfy the acceptability criteria, and its models behave optimally and depict stability and consistency, in accordance with

gravity.
Ultraviolet communication technique and its application
Authors: Guo Liang , Guo Yanan , Wang Junxi , Wei Tongbo
Published: July 2021

With recent developments of deep ultraviolet (DUV) light-emitting diodes and solar-blind detectors, UV communication (UVC) shows great potential in replacing traditional wireless communication in more and more scenarios. Based on the atmospheric scattering of UV radiation, UVC has gained considerable attention due to its non-line-of-sight ability, omnidirectional communication links and low background noise. These advantages make UVC an ideal option for covert secure communication, especially for military communication. In this review, we present the history and working principle of UVC with a special focus on its light sources and detectors. Comprehensive comparison and application of its light sources and detectors are provided to the best of our knowledge. We further discuss the future application and outlook of UVC. Hopefully, this review will offer valuable insights into the future development of UVC.
First-principles study of the growth and diffusion of B and N atoms on the sapphire surface with h-BN as the buffer layer
Authors: Zhao Jianyun , Li Xu , Liu Ting , Lu Yong , Zhang Jicai
Published: July 2021

Currently, the preparation of large-size and high-quality hexagonal boron nitride is still an urgent problem. In this study, we investigated the growth and diffusion of boron and nitrogen atoms on the sapphire/h-BN buffer layer by first-principles calculations based on density functional theory. The surface of the single buffer layer provides several metastable adsorption sites for free B and N atoms due to exothermic reaction. The adsorption sites at the ideal growth point for B atoms have the lowest adsorption energy, but the N atoms are easily trapped by the N atoms on the surface to form N–N bonds. With the increasing buffer layers, the adsorption process of free atoms on the surface changes from exothermic to endothermic. The diffusion rate of B atoms is much higher than that of the N atoms thus the B atoms play a major role in the formation of B–N bonds. The introduction of buffer layers can effectively shield the negative effect of sapphire on the formation of B–N bonds. This makes the crystal growth on the buffer layer tends to two-dimensional growth, beneficial to the uniform distribution of B and N atoms. These findings provide an effective reference for the h-BN growth.
Impact of switching frequencies on the TID response of SiC power MOSFETs
Authors: Yang Sheng , Liang Xiaowen , Cui Jiangwei , Zheng Qiwen , Sun Jing , Liu Mohan , Zhang Dang , Feng Haonan , Yu Xuefeng , Xiang Chuanfeng , Li Yudong , Guo Qi
Published: July 2021

Different switching frequencies are required when SiC metal–oxide–semiconductor field-effect transistors (MOSFETs) are switching in a space environment. In this study, the total ionizing dose (TID) responses of SiC power MOSFETs are investigated under different switching frequencies from 1 kHz to 10 MHz. A significant shift was observed in the threshold voltage as the frequency increased, which resulted in premature failure of the drain–source breakdown voltage and drain–source leakage current. The degradation is attributed to the high activation and low recovery rates of traps at high frequencies. The results of this study suggest that a targeted TID irradiation test evaluation method can be developed according to the actual switching frequency of SiC power MOSFETs.
Reliability evaluation on sense-switch p-channel flash
Authors: Song Side , Liu Guozhu , Zhang Hailiang , Chao Lichao , Wei Jinghe , Zhao Wei , Hong Genshen , He Qi
Published: July 2021

In this paper, the reliability of sense-switch p-channel flash is evaluated extensively. The endurance result indicates that the p-channel flash could be programmed and erased for more than 10 000 cycles; the room temperature read stress shows negligible influence on the p-channel flash cell; high temperature data retention at 150 °C is extrapolated to be about 5 years and 53 years corresponding to 30% and 40% degradation in the drive current, respectively. Moreover, the electrical parameters of the p-channel flash at different operation temperature are found to be less affected. All the results above indicate that the sense-switch p-channel flash is suitable to be used as the configuration cell in flash-based FPGA.
X-band monolithic three-stage LNA with GaAs E-mode PHEMT
Authors: Zuo Zhengxing , Sun Shufeng
Published: July 2021

An LNA for 8∼12 GHz is proposed in this paper. The amplifier uses a GaAs process with cost-effective, E-mode HEMTs with gate widths of 0.25 µm and 0.45 µm. The three stages of the LNA are powered by dual power supplies, with a drain operating voltage of +3V and a gate operating voltage of +0.7V. The simulation results of the schematic diagram show that the noise factor of the low-noise amplifier is less than 2.5dB in the frequency range of 8-12GHz, the in-band gain is greater than 30dB, the gain flatness is ±1.5dB, the 1dB compression point is 7dbm, the VSWRs are less than -10dB, and the LNA is absolutely stable in the X-band.
A line spectrum detector based on improved coherent power spectrum estimation
Authors: Feng Song , Jiang Keyu , Kong Xiaopeng
Published: July 2021

The line spectrum detection method based on coherent power spectrum estimation is one of the important research directions of weak signal line spectrum detection. For the purpose of resolving the problem of phase compensation inaccurate introduced by limited frequency search accuracy with the existing coherent power spectral estimate method, a modified line spectrum detector is proposed. The zero padding is used to improve the line spectrum frequency search accuracy in discrete Fourier transform (DFT) for phase compensation calculations, thereby obtaining more accurate line spectrum frequencies and phase compensation, which further improves Line spectrum detection performance. The detection performances of three detections based on Welch’s method, coherently averaged power spectral estimate(CAPSE) and modified method are compared each other by computer simulations. The results show modified line spectrum detection can obtain a gain of 2-3dB, which verifies the effectiveness of the modified method.
Design of multi-channel digital correlator in SAMR
Authors: Ma Xiaoqing , Sun Baohua , Liu Jie , Ren Hongxuan , Jiang Tong
Published: July 2021

Synthetic Aperture Microwave Radiometer (SAMR) can be carried on the satellite to realize the global large-scale measurement of ocean salinity and soil moisture. As a key component of SAMR, the multi-channel digital correlator has been introduced in this paper from three aspects: an improved method to implement multi-channel correlation, the correlator design and the test results of the correlator. The improved method which effectively reduces the FPGA resource utilization and system complexity is applied to the multi-channel digital correlator system which consists of three signal collectors and one signal processor. The design of multi-channel digital correlator can ensure the real-time signal sampling and processing of 144 ADC channels. The results demonstrate that the measurement accuracy of correlation coefficient can exceed 0.99.
Optimal Design of Antenna for Spaceborne SAR Based on Differential Evolution Algorithm
Authors: Zhang Xingang , Shi Zhengxin , Gao Men
Published: July 2021

An important feature of future spaceborne synthetic aperture radar (SAR) is the adoption of large mesh reflectors fed by arrays. The main advantage of this SAR sensor is the provision of large antenna apertures and reconfigurable feed excitation. A large deployable mesh-reflector antennas combinaed with feed arrays is designed for the application of spaceborne SAR on geosynchronous orbit. To decrease the transmit power of feed element and increase the flexibility, a large scale of two-dimensional feedarray is adopted. An approach based on defocused reflector is used to broaden the beams from feed element, so almost all the feed elements can participate in the pattern synthesis in the complete angular domain. This paper presents a new optimization method of the defocused reflector system. The method aims at getting high gain and low sidebobes by optimizing the reflector parameters together with the feed array. The differential evolution algorithm(DE) is used to get globally optimal solution. The performance of the reflector after optimization is computed to demonstrate the effective of the method presented.
Electro-thermal Coupling Model for Radial Temperature and Electric Field Distribution Computation and Experimental Research of 550kV RIP AC Oil-gas Bushings
Authors: Shiling Zhang , Wei Song , Huaxia Yang
Published: July 2021

The condenser of 550kV RIP oil-gas bushings is in the solid structure of resin-epoxy impregnated paper(RIP), which has large difference with the oil-immersed one (OIP). Oil-gas bushings has compact configuration and heat conduction condition is harsh, while temperature distribution has direct relationship with bushings’ long-term stable operation performance, so it’s essential to carry out research in radial temperature within condenser during production of RIP oil-gas bushing prototype. In this paper, radial temperature distribution principle of bushing condenser under linear material conditions has been summarized by building electrothermal coupling theoretical model of bushing condenser. The model has been generalized by electro-thermal coupling finite element mode under nonlinear material conditions, and electrothermal coupling iterative computation process has also been proposed, then experimental measurement study in local temperature points of bushing condenser has been carried out. The study shows that plate model has advantages of high accuracy and simple form in calculating radial temperature distribution of bushing condenser; the hot-spot temperature of 550kV RIP oil-gas bushings is about 95°C which appears near the center conductor; radial temperature of bushings under nonlinear material conditions is lower than that under linear material conditions and the thermal breakdown voltage of condenser under rated current is 538kV which is higher than the maximum operation phase voltage. This paper provides theoretical foundation for radial temperature computation within RIP bushing condenser and has some reference value for the design of HVAC RIP bushings.
Study on the damage effect of optical detector irradiated by CW laser
Authors: Zhang Peng , Zhang Zhening
Published: July 2021

In order to study the damage effect of continuous laser on optical detectors, an equivalent experimental method of laser irradiated optical detectors was designed and constructed in the laboratory. The damage mechanism and phenomenon of the laser are analyzed through experiments, and the power density of the laser to the target and the size of the saturated spot on the surface of the detector are measured, and the corresponding relationship between the saturation of a single pixel of the detector and the power of the laser to the target is obtained, which reveals the influence of laser power on detection The influence law of the interference characteristic of the device. The experimental results show that under the condition that the diameter of the laser beam and the distance to the target are the same, as the power of the laser to the target increases, the saturated spot size of the detector (that is, the number of saturated pixels) increases, and the saturated spot size increases with the power within the error range. The relationship is approximately linear; for a typical optical detector, the laser power at which the pixels are disturbed by saturation is a fixed value. Increasing the laser power can increase the number of saturated pixels, and the area disturbed by laser saturation is further expanded.
Optimal Design of Shaped Multiple-Beam Antenna Based on Artificial Bee Colony Algorithm
Authors: Shi Zhengxin , Zhang Xingang , Yu Fei , Gao Men
Published: July 2021

In order to maximize the multiple-beam performance in a specific service area, a new optimization design method of shaped single-aperture single-feed multiple-beam antenna was proposed. The contradiction between the layout of satellite platform and the performance of specific service area was solved by comprehensively optimizing the reflector and feed position. As the reflector surface and the feed position were taken as optimization variables, the objective function was constructed by the gain and XPD in the service area, and then the artificial bee colony algorithm was used for optimization, so as to obtain the optimal performance of the whole service area. Finally, an optimization design example was given, and the simulation results indicated the effectiveness of the optimization method.
Analysis and design of voltage doubling circuit for 500kV 15mA high voltage supply
Authors: Li Xiaofeng , Huang Yiyun , Rui Junhui
Published: July 2021

Among many important equipment and instruments, in order to obtain a stable HVDC output, a high voltage multiplier power supply is usually used. With the development of science and technology, higher requirements are put forward for the performance parameters of high voltage multiplier power supply. In this paper, the core part of the high voltage multiplier power supply - voltage doubling circuit as the focus of research. Firstly, the principle of various voltage doubling circuits are analyzed, the steady state analytical formula under ideal state is obtained and their advantages and disadvantages are analyzed. According to the above analysis and comparison, this paper proposes that the topological structure of the voltage doubling circuit for the 500kV HV power supply is the symmetrical CW multiplier circuit. Then the ripple expression of the symmetrical CW multiplier is deduced, the reason of voltage sag is analyzed, and the calculation expression is given. Finally, a simulation model of the voltage doubling circuit of the HV multiplier power supply was built in ANSYS Simplorer. The validity of the analytical design is verified by experimental simulation.
A Transformer using two RDL metal layers based on Fan-Out Panel Level Package Technology
Authors: Wang Zixu , Niu Xulei , Lin Shaopan , Lin Tingyu , Huang Guochi
Published: July 2021

Under the background that electronic products have been developing in the direction of being smaller, lighter and cheaper, the packaging of chip components has also been continuously improved. Fan-out panel-level package (FOPLP) is one of the latest development trends in microelectronics package, which can achieve higher productivity and lower costs. A planar toroidal spiral transformer is designed based on Fan-Out Panel Level Package technology. The transformer is constructed by two RDL layers provided by the packaging process. The size of the proposed transformer is 434um×434um. The simulated primary and secondary inductance is 2.5nH and 2.5nH respectively. The coupling factor of the transformer is 0.845. The quality factor of the transformer is higher than 800 during the entire working frequency range. The self-resonant frequency of the present transformer is 20 GHz. Compared to the on-chip counterpart, the transformer designed based on Fan-Out Panel Level Package technology can achieve higher coupling factor and quality factor. Therefore, the proposed transformer can save chip size and reduce the cost through avoiding using area hungry passive on chip transformer.
Research on control strategy and dynamic test of multi-port electric energy router
Authors: Yang Zaixin , Jian Xusheng , Ya Sitai
Published: July 2021

Researching an electric energy router and analyzing the control and operation characteristics are of significant importance for bi-high power system. In this study, a multi-modal two-level coordinated control strategy of multi-port electric energy router is proposed to achieve fast and flexible regulation of power flow. a prototype of multi-port energy router is trial-produced with an energy storage system, a sending-end power grid and a receiving-end power grid. Furthermore, a comprehensive dynamic test for the prototype of multi-port energy router is completed. The results show that the dynamic performance of the multi-port energy router in power step test is found to conform to the test standard. The charging and discharging modes of the energy storage unit under multi-modal control strategy are switched correctly. During the energy exchange process, multi-port AC/DC voltage operates stably. It can be applied to multi-port, multi-cascade, multi-flow distribution network.
Research on Evaluation of Port Logistics Efficiency Based on DEA-Malmquist Model
Authors: Zhang Xiaoning
Published: July 2021

Port logistics, as an important carrier supporting the trade exchanges of countries around the world, has a positive driving effect on economic growth. This paper adopts the DEA-Malmquist index evaluation model and takes the panel data of my country’s top ten coastal port logistics from 2012 to 2019 as the research object for empirical research. By constructing a reasonable evaluation index system, using DEA method to conduct static analysis of port logistics efficiency, and using Malmquist index method to conduct dynamic analysis of port logistics efficiency. Finally, according to the results of the logistics efficiency evaluation, targeted countermeasures and suggestions are put forward to provide reference for the improvement of my country’s port logistics efficiency.
Analysis of THz space communication link based on STK
Authors: Bai Langtao , Zhu Zhongbo , Li Xiaojun
Published: July 2021

The characteristics of terahertz communication technology, such as large capacity, high speed and high security, make it stand out among many wireless communication technologies. For future space communication application scenarios, the link performance and beam pointing accuracy of the terahertz communication system were analyzed. The beam adjustment angular acceleration index were analyzed through STK.
Non-continuous Orthogonal Frequency Division Multiplexing Satellite Communication Model and Analysis of Interference to Authorized System
Authors: Wang Yong , Lin Zhi , Ye Zhongfu , Wang Lei , Zhao Qingsong
Published: July 2021

With the aim at improving the efficiency of satellite communication spectrum utilization, this paper proposes a non-continuous orthogonal frequency division multiplexing (NC-OFDM) satellite communication model based on convolutional code and LDPC code. We further analyze the bit error rate performance of the NC-OFDM system and evaluates the interference of the authorized system. Simulation experiment results show that NC-OFDM model can significantly improve the spectrum utilization of satellite communication, which can achieve spectrum compatibility with authorized users by adopting adaptive channel access and spectrum sensing technologies.
Analysis on the Development of Radio and Television 5G IoT
Authors: Zou Feng , Shi Yuhai , Gong Yuanjia
Published: July 2021

This paper introduces the technical characteristics and end-to-end typical application systems of NB-IoT, puts forward the overall network architecture of NB-IoT. Based on the development status of the industry, the network deployment scheme and relevant development suggestions are proposed, providing reference for the innovative development and commercial implementation of 5G IoT in radio and television industry.
A Novel Optimized Convolutional Neural Network Based On Attention Pooling for Text Classification
Authors: Yao Chengjie , Cai Mengmeng
Published: July 2021

Convolutional neural network (CNN) is widely used in Natural Language Processing (NLP) and has achieved relatively good results. Since the convolutional layer of CNN can be initialized by encoding important semantic features, CNN can extract important semantic features in the convolutional layer. The pooling layer of CNN uses the feature of max-pooling to filter the features, but it does not consider the key information in the sentence and the context semantic information in the text. Therefore, a novel neural network algorithm combining with the attention mechanism and the pooling layer is proposed in this paper to make the model pay attention to the keywords in the sentence and automatically maintain the most meaningful text message, thereby improving the performance of text classification. Our paper uses important information features to initialize the convolution filter so that the model can notice the important semantic features. The resulting feature is enhanced by combining the attention mechanism in the pooling layer, so that the model can maintain the important information features of the text. Experiments show that the proposed model achieves excellent results for multiple text classification tasks, including sentiment classification and topic classification.
The Influence of Signal Incident Angle on Generalized Sidelobe Cancellation System
Authors: Xiao Shijing , He Fangmin , Li Bin , Meng Jin
Published: July 2021

Through the simulation modeling of the generalized sidelobe cancellation system, the influence of the interference signal and expected signal at different incident angles on the system is analyzed. The results show that the cancellation ratio is affected by the expected signal, the interference signal and the original beam pattern, and the expected signal loss factor is affected by the angle of incidence of the expected signal. At the same time, the influence of the angle deviation of the interference signal on the system is simulated, and the result shows that the angle deviation of the cancellation ratio is very sensitive to the angle deviation from the beginning to the later.
Novel DOA Estimation of Coherent Signal based on Virtual Array
Authors: Jiang Heng , Li Lichun , Pu Mingang , Zhang Jinfeng
Published: July 2021

Conventional direction-of-arrival (DOA) estimations perform poorly in coherent signals due to the rank loss of spatial covariance matrix, and most of the existing methods solve the problem at the expense of Degree of Freedom (DOF) or accuracy. In this paper, a novel DOA estimation technique for coherent signal is presented based on virtual array. The method comprises three steps: Firstly, the covariance matrix is generated according to the output signals of the array. Then, the first row and first column are selected from the matrix according to the data model of each element of the covariance matrix, which can be regarded as a uniform and continuous single snapshot signal of virtual array. Finally, the forward and backward spatial smoothing is used to achieve decorrelation of the single snapshot signal of the virtual array element. The proposed method has no loss of DOF and maintains high accuracy for low signal-to-noise ratio (SNR) conditions. The feasibility of the proposed method is proved by theoretical derivation, and its effectiveness is also verified by numerical results.
Research on Similarity Measurement Algorithm of High-dimensional Data
Authors: Zhang Jianhua , Meng Xiaojun , Huangfu Huidong , Zhou Jianglong , Chen Haiyan , Shen Jiachen , Zhang Peng , Tao Wei
Published: July 2021

The similarity measurement of high-dimensional data is an important research content in data mining and other fields. Aiming at the shortcomings of the traditional similarity measurement algorithms, a new measurement algorithm is proposed. The results of comparison with traditional algorithms show that new algorithm can quantitatively and intuitively reflect the similarity of two sets of high-dimensional data, and has strong adaptability and superiority.
Cloud-based Approach for Prevention Maintenance Management Platform of Printing Press equipment
Authors: Cao Shaozhong , Yang Yanhong , Wei Xuhang , Jian Tengfei , Rehan Abdul , Zhang Panlin , Xiang Xuan
Published: July 2021

It is easy to understand that presentation maintenance can prolong the lifecycle of the equipment. Due to the lack of an efficient maintenance management platform for Printing Press equipment, we develop a cloud-based platform to record routine inspections, to notify management information, and to remind replacement with a monitoring analysis model. In that case, the producer of the printing press could master the data of prevention maintenance and provide better after-sales service. The platform consists of equipment data sensing analysis workflow, routine inspection, and equipment warning/failure detection. This enables effectively extending the service life of the equipment, reducing the maintenance costs of equipment, and providing on-demand access to computing resources. In the future, new artificial intelligence models could be added to provide smarter manufacturing solutions.
User Behavior Audit System of Real-time Web Log by Spark
Authors: Li Guonong , Hu Wenyu , Chen Jinbo , Ying Kanghui
Published: July 2021

With the rapid development of information technology, single sign-on authentication systems have been adopted by organizations to protect their information management systems and other service platforms. With the single sign-on method, users just log in the authentication systems once to access all the information in systems, which are more convenience, but accompanied by user permissions vulnerabilities and information security risks. Users’ browsing behaviors reflect the users’ usage habits, purposes, and work contents. Risks of information leakage can be reduced by auditing the users’ browsing behaviors. After analyzing the web logs of several service systems, we designed a user behavior audit system based on the Spark computing engine, which takes the real-time web log file as the data set. A possible preprocessing method for real-time web log data stream is proposed to extract users’ web session data. we used the Spark computing engine and the corresponding analysis to mine users’ behavior patterns. The online real-time detection and offline detection of user behavior are realized, and users are divided into three levels: normal, abnormal, and risky. The system administrators or auditors can view the calculation results of each stage online, manage the parameter configuration of the algorithm online, and adjust the user’s access right in real-time.
Radar signals modulation recognition based on bispectrum feature processing
Authors: Mi Xinping , Chen Xihong , Liu Qiang , Hu Denghua
Published: July 2021

Modulation recognition of radar signals is an important part of modern electronic intelligence reconnaissance and electronic support systems. In this paper, to solve the problem of low recognition accuracy and low noise resistance of radar signals under low signal-to-noise ratio(SNR), a recognition method based on variational mode decomposition(VMD) and bispectrum feature extraction is proposed. Based on the feature that bispectrum can suppress Gaussian noise, the feasibility of signals modulation recognition under low SNR is analyzed and the noise item is introduced. Due to the interference of noise item, the noise suppression effect of bispectrum is worse under 0dB. An improved VMD algorithm based on artificial bee colony(ABC) algorithm optimization and envelope entropy evaluation is proposed to preprocess the signal to improve the SNR. Finally, we designed a convolution neural network(CNN) classifier to recognize signals of different modulation types. The simulation results show that this method has better noise resistance than traditional methods, and can effectively identify different types of signals under low SNR.
Finger language recognition algorithm based on ATTAlexnet
Authors: Xie Qina , Kuerban Alifu , Abula Minawaer , Han Dingjie
Published: July 2021

The mainstream algorithm model structure based on deep neural networks is relatively simple, and it is easy to lose effective information in the pooling layer, the recognition accuracy is not high, and the recognition speed is slow. To solve this problem, a fusion convolutional attention mechanism and AlexNet’s Finger language recognition algorithm (ATTAlexNet). By introducing the convolutional attention mechanism in the AlexNet network, it can effectively perform feature learning, realize feature screening, enhance the characterization ability of the network, and introduce the AdderNet to replace the multiplication operation of the convolution layer in the AlexNet network, enhance the robustness of the network, and improve the network calculation speed. The experimental results show that ATTAlexNet is superior to other comparison algorithms, and under the same experimental conditions, the recognition rate of ATTAlexNet is increased by 2.0%, which proves that the ATTAlexNet algorithm can effectively realize finger language recognition, has fast calculation speed, and good robustness.
Multi-objective logistics park functional block layout based on genetic algorithm
Authors: Zhang Siqi , Li Guanyang , Yu Denghui
Published: July 2021

At present, the construction of logistics parks has become an indispensable part of the modern logistics system. Scientific and reasonable layout planning of the logistics parks not only effectively saves logistics costs, but also promotes the efficient operation of the entire logistics. This article uses a combination of qualitative analysis and quantitative analysis to analyze the layout structure of the functional areas, build a multi-objective mathematical model with the largest degree of adjacency and the smallest transportation cost, and set the functional blocks in horizontal and vertical modes to make the layout more rational, Using genetic algorithm to solve the model with Matlab software, and verify the rationality and effectiveness of the model through examples, providing a new idea for the layout of modern logistics parks.
Blind sidewalk segmentation based on the lightweight semantic segmentation network
Authors: Liu Xingjian , Zhao Xinge , Wang Sizhan
Published: July 2021

A lightweight semantic segmentation network is proposed to solve the problem of real-time segmentation of blind sidewalk. On the basis of U-Net’s encode-decoding structure, the inverse residual block composed of deep separable convolution is used to replace the ordinary convolution for feature extraction, and the number of convolution layer channels is compressed. Experiments show that the blind segmentation method used can effectively overcome the disadvantages of traditional methods that are affected by the environment easily. Compared with U-Net, the parameter amount is reduced by 25.2 times, and the reasoning speed is increased by 3.6 times, while the loss of precision is just less than 2%, which basically meet the requirement of real-time inference.
Wooden pallet image segmentation based on Otsu and marker watershed
Authors: Jia Fengyuan , Tao Zhaosheng , Wang Fusong
Published: July 2021

Pallet detection is the key step of cargo handling for warehouse robots. In the visual detection, pallet needs to be segmented from the image background. In order to increase the recognition rate and reduce the influence of the surrounding environment and the pattern of the pallet, Otsu algorithm and marker watershed algorithm are combined to realize the image segmentation of the pallet contour. Based on the difference of colour information between the pallet and the background, Otsu algorithm is used to segment the pallet for the first time, and marker watershed is used to complete the target recognition. The experimental results show that the method can effectively solve the problem of over segmentation of the pallet object, and improve the recognition rate, which has some reference value for the design of the visual detection system of the warehouse robot wooden pallet.
Application of two-dimensional truncated singular value decomposition in image restoration
Authors: Zhou Hongyu , Kou Ting , Song Xu
Published: July 2021

Large solution size and ill-posed problem often exists in image restoration. In order to overcome these problems, the application of two-dimensional truncated singular value decomposition(2-D TSVD) in large-scale image restoration is studied in this paper. The 2-D TSVD overcomes the inherent ill-posed problem and also solves the problem caused by limited storage in image restoration, which plays a regularization role. Experimental results show that this method is very effective in image restoration.
Research on key technologies of overlay multiple access based on deep learning
Authors: Huang Ronglan
Published: July 2021

NOMA (Non-Orthogonal Multiple Access), as one of the candidate technologies of 5G, can improve the spectrum efficiency and system capacity, and has attracted wide attention. The essence of NOMA is multi-user overlay transmission in power domain, and multiple users will schedule on the same sub-band. The fundamental principle and key technologies of NOMA technology, such as power multiplexing superposition coding technology and SIC (Successful Interference Cancellation) technology, are described. The BER performance of NOMA communication system based on power domain in downlink is studied, and the appropriate power allocation ratio range is obtained. From the overall point of view of the system, users are grouped with the goal of maximizing the channel gain difference of all matched users, and then the problem of maximizing the weighted sum rate is transformed into the problem of minimizing the weighted sum mean square error by using the deep learning algorithm. By updating each optimization parameter iteratively in turn, it converges to the local optimum of the objective function. This method can improve the weighting and rate performance of the system with fewer iterations.
A survey of ship target feature extraction based on video surveillance
Authors: Bi Zhenbo , Zhang Shiyou , Wu Yuanhong , Wang Guangwei , Qi Changshong
Published: July 2021

Ship target feature extraction plays an important role in ship recognition and tracking based on video surveillance. However, the current feature extraction of ship targets based on video surveillance does not have a complete summary, so this article reviews these methods. This article summarizes the main ship target feature extraction methods used in ship target recognition and tracking in different application environments, including traditional artificial ship feature extraction and automated learning ship feature extraction. It focuses on the core ideas, advantages and disadvantages of the representative methods in each type of problem, and discusses the current problems in the feature extraction of ship targets and the future development of feature extraction technology.
A bilateral matching method of decision-making for customized buses
Authors: Zhang Yuntao , Liu Ruiting , Yang Yijing , Wen Haoyu
Published: July 2021

As the cornerstone for urbanization, public transportation needs to raise attraction. Hence, the key motivation of this research is about balancing the needs of customized-buses and commuters. Regarding satisfaction and fairness of matching schemes, this paper explores the characteristics of customized-bus services and combines actual needs to establish a multi-objective bilateral matching optimization model including maximum matching correlation degree, minimum correlation deviation and maximum matching logarithm. To show the indicators information, the methodologies introduces the grey correlation analysis method adopting four data types. The satisfaction level is obtained by solving the maximum matching scheme that matches the appropriate customized-bus for commuters. The proposed model meets the requirements of operators and commuters, may further improve the attraction of public transportation and its service quality, which can be the key contributions of this paper.
High-speed optical sampling system combined with cavity-less pulse source
Authors: Shao Bo , Zhou Yue , Xu Kun
Published: July 2021

High-speed optical sampling can overcome the limitation faced by electronic systems, such as bandwidth and precision. In this work, a 4-fold optical sampling time-parallelization is combined with a cavity-less 10GHz pulse source. The 4-fold sampling time-parallelization is based on a 1x4 optical switching matrix. Three dual-outputs Mach-Zehnder modulators (D-MZM) in cascaded configuration are included. Instead of a 10GHz repetition mode-locked laser (MLL), a cavity-less 10GHz pulse source is designed and used to provide the 10GHz modulated pulse as used in the switching matrix, which consists of a Mach-Zehnder amplitude modulator (MZM), a phase modulator (PM) and a highly dispersive optical fiber. We demonstrate a 4-fold sample time-parallelization with a high repetition rate up to 10GHz and 2.5GHz per channel, also with a signal-to-noise ratio (SNR) of 30dB, and combined with a 10GHz cavity-less pulse source with a pulsewidth of 9ps, which can be used into the advancements in radar and telecommunication systems.
Smart lighting system based on Bluetooth
Authors: Feng Chenwei , Wang Xianling , Li Zhuo , Lin Weiming , Ji Huazhi , Shen Shaomin
Published: July 2021

A smart lighting system uses the concept of green, low-carbon, energy-saving and environmental protection to change people’s lifestyle and bring about high-quality life. This paper designs a smart lighting control system based on Bluetooth and Android. When the system is in automatic mode, the pyroelectric infrared sensor can be used to detect whether anyone is passing by to control the LED light on or off. The LED light can be also controlled by the Android app through Bluetooth communication when the system is in manual mode. The testing results show that the system is energy-saving, efficient and easy-to-use, and it can be widely used in various lighting scenes.
Wireless sensor network node sleep scheduling algorithm
Authors: Zhang Huanan
Published: July 2021

Wireless sensor network has been widely used in many fields, but in the application of the node battery can not be replaced, how to effectively save energy, prolong the lifetime of the network, is a very important and challenging work. In this paper, an algorithm is proposed to effectively prolong the network’s life time by dividing the intermediate nodes into two types, which are only responsible for collecting data and only responsible for sending data, and making the redundant nodes go to sleep directly after the completion of network layout, and then scheduling the dormant nodes reasonably. Through the performance analysis, the algorithm can achieve a better effect of prolonging the network lifetime when there are a large number of redundant nodes in the network.
Research on key technologies for industrial field communication quality analysis
Authors: Wang Zhen , Han Dantao , Gong Yanjie , Zhao Yanling
Published: July 2021

With the widespread application of intelligent manufacturing and industrial internet technologies, higher requirements for the reliability, stability and robustness of industrial communication networks have been put forward. To achieve these requirements, the detecting and evaluating diagnostic technology for industrial field communication is essential. This paper analyzes the key technologies and difficulties of detecting and evaluating diagnostic technology from the four aspects of access, collection, communication and evaluation & diagnosis and proposes some feasible solutions to provide a new perspective for further in-depth research.
A fast on-chip debugging design for RISC-V processor
Authors: Gao Shan , Xiao Wan’ang , Yang Zhenghong , Wu Dehua , Gao Wanlin
Published: July 2021

In order to improve the efficiency of on-chip debugging, a fast on-chip debugging design is proposed, which adopts JTAG interface and is applied in RISC-V processor. In this paper, we extend some debugging instructions, effectively reducing data entry by operating the debugging bus directly, and realize the breakpoint, pause, single step, et al., providing conveniences for the development and debugging of the software system.