bluuebunny/crossref_metadata_2025 huggingface dataset:
Surface microgeometry treated with a precast textured grinding wheel
Authors: Gusev Vladimir
Published: November 2020

The article considers the formation of the geometry of internal cylindrical surfaces when grinding with a precast textured wheel, which is under the influence of the unbalances main vector and a variable cutting force caused by the discreteness of the cutting surface (texture). Under the influence of these factors, each point of the axis of the textured tool makes vibrations in the transverse plane in the form of a wavelike sinusoid consisting of two sinusoids. The Space-time process of forming the processed surface is mathematically described. It is in applying wavelike sinusoids to the workpiece, taking into account their phase shift at each revolution of the workpiece. To ensure minimal geometric errors at the maximum possible productivity of the grinding process, phase shifts φf = (0.07–0.12)π and φf = (0.88–0.93)π are recommended. The results of the study are recommended for use in the production of high-precision details, primarily from materials that are prone to thermal damage to the surface layer under the influence of high temperature in the grinding zone.
Probabilistic modeling of crack growth in large structures
Authors: Izvekov Yury , Torshina Olga , Anisimov Alexander , Kameneva Galina , Bondarenko Tatyana
Published: November 2020

The allowance for various defects including cracks represents a critical issue related to structural risk analysis. The complexity and the ambiguity involved with such allowance for the amount and growth of defects (cracks) is demonstrated on the real structure of a metallurgical overhead crane. The problem of distribution function conversion must be solved to allow for any variations in defects starting from the point of time when the initial (technological) defectiveness is determined and ending with the estimated time of risk analysis. Due to the lack of data on cyclic resistance to cracking for Вст3сп5 steel, it does not yet seem possible to construct the distribution functions and to determine the estimated theoretical average and dispersion of crack sizes. However, by using the previously obtained calculated data on active stresses and strains, it is now possible to simulate growth of cracks based on Weibull distribution. Different engineering solutions can be accepted at various stages of operating large structures, according to the obtained results.
Modeling of dynamic loadings on a tower crane jib
Authors: Kudryavtsev Evgenij , Gavrilenko Alexander , Jafari Mostafa
Published: November 2020

Article describe processes of modeling of dynamic loadings on on a tower crane jib and represent their in analytic and, graphic kinds with using of modern computer technologies. Complexity of such tasks is concluded in depending these characteristics from load characteristics of the crane, weights and inertial parameters of elements of the mechanism of the lifting of loads, having a nonlinear appearance. The proposed procedures of modeling allow to reduce time and costs of such calculations at least in several hundred times and effectively to carry out researches in any usage mode and on all design stages of tower cranes, providing good visual presentation of received results.
Neural network identification of a nonlinear model of a high-pressure sodium lamp
Authors: Semenov Anatolij D. , Volkov Anton V. , Shumkina Alena Yu.
Published: November 2020

The article is devoted to the identification of a high-pressure sodium lamp nonlinear model parameters based on neural network technologies. Identification was carried out using a dynamic neural network. The model had 17 parameters based on second order differential equations. As a result, out of 17 parameters, four were selected that accurately reflect the real picture of the model.
Development of a data collection system for a CNC system using cloud FRED technology and OPC UA specification
Authors: Kovalev Ilya , Issa Ahed , Nikishechkin Petr , Chervonnova Nadezda , Petrov Andrey
Published: November 2020

Collecting data from process equipment is currently an interesting task. The use of complex SCADA systems is not always possible and is usually an expensive solution. For some tasks, in-depth analysis of the received technological information is not needed, but visualization of the necessary data is sufficient. In control systems, it is usually not possible to create custom HMI screens. The use of new approaches based on web technologies and cloud solutions allows collecting and visualizing data on web pages and screens of mobile devices. The article shows a solution for collecting data from a CNC system using the OPC UA protocol and subsequent data visualization based on the FRED cloud platform in the required format with the ability to configure HMI screens.
An approach to the development of logical control systems for technological equipment in the concept of Industry 4.0
Authors: Nezhmetdinov Ramil , Kovalev Ilya , Chervonnova Nadezda , Nezhmetdinova Ramilya , Al Khoury Akram
Published: November 2020

In the post-industrial society, the means of collecting, processing and transmitting information have changed. These changes were reflected in industrial technologies, in which there was a transition from a concept aimed at automating individual machines and processes to a concept that provides a digital representation of all physical assets, followed by integration into a digital global system, built together with partners involved in the value chain. The new concept is based on a multilevel, complex, global technological and organizational system, which implies the integration of physical operations and their accompanying processes into a single information space. The effect of its implementation is possible if the process of receiving, analyzing and exchanging data between technological equipment and various levels of the production system as a whole is structured.
Modeling the interaction of resource flows in the foreign trade system
Authors: Kurenkov Pyotr , Volodin Alexey , Safronova Anastasia , Kakhrimanova Diana , Majerčák Jozef
Published: November 2020

The article investigates the relationship of flows of various types (transport, cargo, information, financial, energy, legal and others) between themselves and elements in the delivery system of foreign trade cargo. A hierarchical scheme of points of interaction of various types of flows is proposed. It is note that optimization of flow control will create more favorable conditions for rhythmic work and coordination of transportation with other modes of transport, and a correctly calculate supply of goods to ports and border crossings will provide an opportunity for the economical use of rolling stock. The solution to this problem at a new level has become possible due to the widespread introduction of digital information technologies. A model of the topology of their interaction has been develop with the definition of an integral quality indicator of a particular route or delivery option. An algorithm for assessing the interdependence of various types of elements, flows, legal ties and the degree of complexity of the structure of the system for the delivery of foreign trade goods.
Digital twin of mechatronic drive based on the optimal control model of BLDC motor
Authors: Trefilov Sergei
Published: November 2020

This paper presents a digital twin of a mechatronic drive based on a brushless DC (BLDC) motor model based on a nonlinear discrete optimal control model. Some parameters of a BLDC motor, such as resistance and inductance of windings, magnetic flux, viscous friction coefficient in bearings, angular velocity and electromagnetic moment, can change due to both degradation of structural elements and external forces. Simulation by a complete enumeration of the values of the parameters of the mechatronic device with a certain step will make it possible to adapt the program of the control device to changing operating conditions according to the criterion of minimizing the control energy by changing the parameters of the state matrices and control of the digital twin. As a result, the accuracy of the movement of the mechatronic device along the given trajectory will increase due to the greater correspondence of the control parameters to the real object.
Influence of moisture on the durability of protective and decorative coatings of external walls of buildings
Authors: Loganina Valentina
Published: November 2020

The article presents the results of a study of the effect of air pressure in the pores of a cement substrate, which occurs when the wall material is moistened, on the crack resistance of protective and decorative coatings. It is shown that the value of air pressure in the pores of the material, provided that the moisture content of the wall material does not exceed the sorption limit, does not pose a threat to the integrity of most coatings. When the moisture content of concrete is higher than the sorption air pressure, it is comparable to the long-term cohesive strength of some protective and decorative coatings (lime, polymer-lime, KhSPE, etc.). When finishing external wall panels with a paint composition based on organic solvents (toluene, xylene, etc.), a saturated vapor-gas mixture is formed in the pores, which helps to reduce the rate of surface condensation. The destruction (peeling, cracking) of coatings from the action of air pressure in the pores of the substrate begins later in comparison with coatings based on aqueous paint formulations.
„Das Besondere an dieser Therapie ist, dass sie zu Hause stattfindet“ – homeCIMT
Authors: Janssen Christina
Published: November 2020

Mit der evidenzbasierten Therapiemethode homeCIMT können Menschen nach einem Schlaganfall ihren Arm- und Handeinsatz verbessern. Dabei arbeiten sie mit einem nicht professionellen Übungsbegleiter im häuslichen Umfeld. Die Ergotherapeutin Christina Janssen hat Therapeutinnen des Fortbildungsteams homeCIMT-Konzept befragt.
Aus dem Tal auf den Berg: Das Universitätsklinikum Tübingen
Authors: Hardinghaus Christian
Published: November 2020

Wir merken es gerade: In Krisenzeiten stehen Krankenhäuser und Kliniken unter besonderer Beobachtung. Plötzlich nehmen wir das, was wir häufig als selbstverständlich voraussetzen, ganz anders wahr. Wir fragen nach der Anzahl vorhandener Betten oder der Kapazität von medizinischem Pflegepersonal. Zum Glück sind wir in Deutschland gut aufgestellt, aber uns wird bewusst, dass es auch hier in Notsituationen zu gefährlichen Engpässen kommen könnte. Etwas, auf das Klinikpersonal in ruhigen Zeiten immer wieder hinweist, gerade aber dann wird es zu oft überhört. Die Behandlungen aller Menschen in diesem Land, zu jeder Zeit ermöglichen zu können, muss aber immer ein zentrales Thema in unserer Gesellschaft bleiben. Diese Einleitung ist also auch ein Aufruf an ein kollektives, nachhaltiges Umdenken. Und damit beantworte ich als erstes, die derzeit vielleicht wichtigste Frage zum heute vorgestellten Krankenhaus: Das Universitätsklinikum Tübingen (UKT) verfügt über 1577 Betten, davon entfallen auf die Intensivstation gerade einmal 40. Fast alle Betten sind belegt. Das ist Grund nicht für Panik, aber zur Sorge auch für alle anderen Krankenhäuser.
GRID2 Mutation-Related Spinocerebellar Ataxia Type 18: A New Report and Literature Review
Authors: Panda Prateek Kumar , Sharawat Indar Kumar , Dawman Lesa
Published: November 2020

Spinocerebellar ataxias (SCAs) are heterogeneous disorders with multiple genetic etiology. Mutations in the GRID2 gene are associated with spinocerebellar ataxia type 18 (SCA-18). We report the first Indian case of SCA-18. The proband is a 7-year-old boy with motor delay, cerebellar signs, and cerebellar atrophy. Whole exome and direct sequencing identified compound heterozygous mutations of the coding and noncoding regions of the GRID2 gene. A literature review of the published cases with pathogenic GRID2 variants was performed. Beside our patients, 32 cases were identified. The majority of reported cases were males, of consanguineous kindreds, with autosomal recessive inheritance. However, a proportion of cases (39%) had autosomal dominant/semidominant inheritance with heterozygous variants. In addition to childhood-onset cerebellar ataxia, other reported features were: early-onset dementia, complicated spastic paraparesis, retinal dystrophy, hearing loss, lower motor neuron signs, and severe global developmental delay in some homozygous cases. Cerebellar atrophy was the commonest neuroimaging finding, with few cases demonstrating brain stem, supratentorial, and white matter abnormalities. Although SCA-18 should be suspected in patients with early-onset cerebellar ataxia, eye movement abnormalities, and motor delay, clinicians should be aware of late-onset, variable presentations with pyramidal signs, dementia, and hearing loss. In suspected cases, if mutations were not detected by whole-exome sequencing, direct sequencing of noncoding regions and chromosomal microarray should be considered.
How do age, language, narrative task, language proficiency and exposure affect narrative macrostructure in German-Swedish
bilingual children aged 4 to 6?
Authors: Lindgren Josefin , Bohnacker Ute
Published: November 2020

Previous studies show mixed findings concerning whether higher-order story structure (macrostructure) is similar across
bilinguals’ two languages. It is not known how macrostructure is influenced by general language proficiency and amount of exposure. The
present study investigates these issues in 46 German-Swedish bilingual 4- to 6-year-olds. Narratives were elicited in both languages with
two picture-based tasks from the Multilingual Assessment Instrument for Narratives (MAIN) in the telling mode. We investigate to what extent
the language of elicitation (Swedish vs German) influences bilingual children’s macrostructure (story structure, episodic complexity) and
explore effects of narrative task, age, narrative length, expressive vocabulary and estimated language exposure, both separately and
combined, on macrostructure in the respective language. Results show that macrostructural skills developed measurably with age from 4 to 6
years in both languages, with no task effects. Story structure scores were higher in the majority language Swedish than in German and
developed differently with age. The effect of narrative length on story structure was similar in the two languages. Language exposure did
not have any significant effect. Macrostructure scores were significantly affected by expressive vocabulary in German only. Generally, the
results may be linked to slightly higher language proficiency in Swedish.
RETRACTED: Research on Network Security Vulnerability Detection Method Based on Artificial Intelligence
Authors: Luo Guoyu
Published: November 2020

The Internet is gradually being used in various fields, and people’s lives are increasingly dependent on Internet technology. In network construction, we need to focus on maintaining network security and protecting the legitimate interests of users. In the network security defense system, network security vulnerability detection is an important part. Network attacks and network security vulnerability detection technology updates have shown a confrontational spiral in the field of network information security. One of the key contents of network security protection is how to effectively detect unknown network security vulnerabilities. In terms of network security vulnerability analysis, this paper studies cross-site scripting vulnerability analysis, SSL security vulnerability analysis, and binary vulnerability analysis; in terms of network security vulnerability prediction, it discusses random forest prediction models, convolutional neural network prediction models, and support vector machine predictions. Model; combined with common rules for network security vulnerability detection, comparative analysis of the network security vulnerability detection effects of several typical machine learning methods.
Knowledge distillation and data augmentation for NLP light pre-trained models
Authors: Luo Hanwen , Li Yudong , Wang Xiaodong , Zhang Yuqing
Published: November 2020

Model lightweight aims to solve the problems of various large models for slow training and high resource requirement. Knowledge distillation can be a good solution to these problems. We built a lightweight model that meet the competition requirements and have prominent NLP capabilities. RoBERTa-tiny-clue was used as our backbone model. We tested the effect of soft labels and hard labels on knowledge distillation, made knowledge distillation, fine-tuned this model to get a lighter model with better performance, and then applied it downstream NLP tasks. We also adopted a series of data augmentation methods to improve the performance of the model on downstream tasks, customized different optimization solutions for four tasks. Based on open-source pre-trained model RoBERTa-tiny-clue and public available datasets, we achieved 15 times smaller and 10 times faster than BERT-base, and 95% of BERT-base performance on downstram NLP tasks. Using suitable data augmentation methods for the trained lightweight model, the performance of the model on various downstream tasks reaches or exceeds BERT-base.
Change points estimation for equipment degradation process based on fuzzy c-means clustering
Authors: Zhu Haizhen , Xiao Mingqing , Zhao Xin
Published: November 2020

The working equipment would experience a degrading process until it runs to failure. Many works have been done to illustrate and describe this process as accurate as possible. In the real world applications, the monitored data are unlabelled data. In this paper, we aim to automatically assign degrading states to the monitored. To achieve this target, the change points between adjoining states should be evaluated. Instead of using the conventional hard clustering methods, we adopted the fuzzy c-means clustering, where the monitored data can be assigned to two adjoining states, to estimate the change points. Additionally, the degrading process of an intermittent working equipment is utilized to verify the effectiveness the evaluation method. The experiment results show that fuzzy c-means clustering is suitable for assigning state labels to the unlabeled data and evaluating the change point of involved equipment.
Web Service Composition Optimization Based on Adaptive Mutant Beetle Swarm
Authors: Yang Hongwei , Xue Fucheng , Zhu Hongmei , Zhu Leilei , Li Li
Published: November 2020

with the continuous development of cloud computing technology and big data, web services are widely used in intelligent information processing in all walks of life, when facing a large number of services with similar functions and quality, web service composition technology is a crucial technology in web services, which enable common services to be combined and select the optimal service combination to meet the wide range of users’ needs. Aiming at the problems of algorithm accuracy and stability of existing service composition technologies, the penalty function is used to construct the fitness function in this paper, which transforms the constrained optimization problem into an unconstrained optimization problem, and realizes the global optimization. Traditional web service composition models are aimed at QoS attribute perception. This paper establishes a QoE model that focuses on user experience, which can better meet the needs of users. An adaptive mutant beetle herd algorithm was proposed in this paper, the author introduced Beetle Antennae Searching Algorithm into the common particle swarm optimization algorithm, and added an adaptive mutation factor to enhance the searching ability of the algorithm; The use of dynamic learning factors allows the algorithm to have better population diversity and enhanced convergence. The experimental results that the algorithm proposed in this paper has higher algorithm accuracy, comparatively faster convergence speed and stability.
Analysis of Emotional Evolution of Emergent Events Network Based on Spatial Measurement
Authors: Luo Qingyue , Song Yinghua , Liu Shanyao
Published: November 2020

I study the temporal and spatial evolution of network emotions in emergencies, and provide decision support for public opinion guidance. This paper uses python to compile a crawler to obtain the comment information of Weibo, calculates its network sentiment value based on the naive Bayes classifier, uses spatial analysis methods and the SAAR spatial measurement model system, and analyzes the temporal and spatial pattern evolution and spatial agglomeration of network sentiment Characteristics, and further reveals its influencing factors and complex spatial correlation. At the same time, there is a spatial spillover effect of online emotions, and the intensity of comments and public opinion has a promoting effect on it, while geographical distance has an obvious inhibitory effect on it. Online emotions have regional differences. Disaster management departments can use this difference to more efficiently identify emotionally hot areas from social media data, so as to take timely response measures.
Research on decision support system of ship planning management based on data warehouse
Authors: Zhu Anqing , Hao Dejing
Published: November 2020

This paper discusses the basic principle, model construction and theoretical framework of a new decision support system based on data warehouse, and applies this method to the data extraction process of shipyard plan management. The practice shows that the method is applicable and reliable in complex engineering systems such as shipyard planning management.
Evaluation of Resource Scheduling Ability of Joint Action System of System in Military and Local Government
Authors: Zhen Ziqing
Published: November 2020

Based on the normal process of system evaluation, this paper defined the resource scheduling ability of the Joint Action System of System in Military and Local Government from some aspects such as staff, equipments and materials. In this paper, the quality of task completion was taken as the utility function of resource scheduling for building the evaluation method of resource scheduling ability of Joint Action System of System in Military and Local Government. Moreover, the feasibility of the evaluation method was verified by actual cases, so this paper solved the operational problem of resource scheduling capability evaluation of this system.
Digital Reproduction and Virtual Simulation System Design of Astronomical Clock-tower
Authors: Zhang Tian , Lv De-Sheng
Published: November 2020

The author designed and developed a virtual simulation system to introduce people to the great astronomical installations called astronomical Clock-tower of the Song Dynasty in China. In this paper, the operation data of the replica of the Astronomical Clock-tower was studied and defined, the digital replication and working principle of each part of the astronomical clock tower platform are studied, the dynamic flow physical simulation was carried out by using the Obi fluid plug-in, and the user experience system was improved by the design of virtual reality. Based on the interaction design analysis and usability research analysis, the user learning test table is formulated. The statistical data illustrates the advantages of the system in terms of learning and user experience.
An optical multi-wavelength conversion method for distributed satellite system based on the nonlinearity of SOAs
Authors: Shi Xiaodong , Li Yongjun , Xin Ning , Wang Weilong
Published: November 2020

It is highly necessary to share information between satellites in optics distributed satellite system. The signals usually need to be multi-casted to several nodes. The initial signals can be copied to several wavelengths directly by multi-wavelength converting technology. So it is an efficient way to solve the issue of optics multicast in distributed satellite network. To realize the optics multicast in distributed satellite system, an optical multi-wavelength conversion method based on the nonlinearity of semiconductor optical amplifier (SOA) is put forward. Firstly, by making use of the SOA’s property of spectrum broadening combined with offset filter, the initial signal is filtered by blue-shifted filter and red-shifted. The pre-conversion and detecting signals are produced respectively. Then the multi-wavelength conversion is realized based on the four-wave mixing (FWM) in another SOA. As is obtained by dividing the initial signals, the pre-conversion and detecting signals can be synchronized more easily. The results show that the output Q factor for each channel is promoted and varies with wavelength and signal input power. The power improvement is more than 15dB and the maximum value is 27dB.
Research on Dynamic Political Sentiment Polarity Analysis of Specific Group Twitter Based on Deep Learning Method
Authors: Chang Chengyang , Wang Xiaodong
Published: November 2020

The article introduce a method to analyzing the dynamic political sentiment polarity of American politicians’ tweets within a fixed period of time to assist analysts in judging the direction of American politics and the future trend of China-US relations. This research is applied in the field of think tanks or intelligence analysis. The service targets are intelligent analysts, and the data is the tweet text data sent by a specific group in a fixed time period. We propose an architecture that combines multiple deep learning models and use a dedicated tweet data set to construct a specific group to obtain an sentiment polarity multi-classifier, and then introduce the time characteristics of tweets, and finally obtain the dynamic political sentiment polarity of politicians. The US politician tweets data set proposed in this article verifies that the proposed comprehensive architecture is better than traditional deep learning methods in this task, and the accuracy of the classifier verification set reaches 80.66%. According to the sentiment polarity judgments of 20 US governors and senators, the success rate is 75%. The analysis of individual dynamic political sentiment polarity can provide effective help and intelligence support for analysts. The method in this paper effectively uses a variety of deep learning techniques to assist analysts to obtain more accurate dynamic political sentiment polarity from massive Twitter text data.
Research on Rayleigh Scattering and Brillouin Scattering of Bidirectional Wavelength Division Multiplexing System
Authors: Wu Qiwu , Zhou Yang
Published: November 2020

In order to study the influence of Rayleigh and Brillouin scattering on the performance of bidirectional Wavelength Division Multiplexing (WDM) system. On the VPI simulation platform, a two-way WDM simulation system was built. Rayleigh scattering and Brillouin scattering were generated by setting the parameters of the optical fiber module and system parameters such as Brillouin Scattering, Rayleigh scattering, Rayleigh Distortion, and Rayleigh Distortions. Then, the frequency spectrum of the received signal and the bit error rate were observed and analysed. Experimental results show that Rayleigh and Brillouin scattering will cause the performance of the two-way WDM system to degrade. By separating the back propagation channel, the impact of these two effects on the performance of the two-way WDM system can be reduced.
Real-time and accurate object detection on edge device with TensorFlow Lite
Authors: Dai Junyan
Published: November 2020

Objection detection is of vital importance to many fields, such as autonomous driving, outdoor robotics, and computer vision. Existing approaches on object detection can hardly run on the resource-constrained edge devices. In order to mitigate this dilemma, we propose to apply TensorFlow Lite to convert Float32 neural network model to unit8 neural network with subtle or even no accuracy loss. Two advantages are here for conversion. First, it reduces the model size to a quarter so that it fits for devices with limited storage. Second, it achieves much faster inference time. I conduct an experiment on MSCOCO dataset. Experimental results show that our proposed method achieves mAP 72.1 and FPS 23 on edge device.
The high voltage supply power of portable nuclear instrument
Authors: Zhao Xiaowen , Yang Bin , Li Yan , Li Gang , Yan Haixia , Wu Peng
Published: November 2020

This paper introduces the basic demand of high supply power for portable nuclear instrument. The basic principle and practical application circuits of obtaining high voltage are introduced by self-excited oscillation mode and unself-excited oscillation mode.
Baby-Follower: a Child-Care Robot System Based on OpenMV and IOT
Authors: Guo Xingyue , Wu Jiahe , Fang Jing
Published: November 2020

Frequent accidents of children at home have caused disastrous injury and economic loss. However, the traditional child-care robots mainly focus on human-computer interaction and emphasize educational function, which cannot be used specifically to solve children’s safety problems. A child-care robot system based on OpenMV and IOT is proposed in this paper. The system is a smart vehicle-type robot, which recognizes and locates the target with the AprilTag label attached to children’s legs and hazard points by the machine vision module, follows the children’s movement, monitors the surrounding environment through sensors, uploads data to OneNET cloud platform and provides audible alarms of the emergency to the guardians in real time. Furthermore, it also provides video real-time transmission function, manual control function and data viewing function through browser and App to protect children from danger and assist guardians to accompany children’s growth.
RDSSD: Refinement Deconvolutional Single Shot Detector
Authors: Guo Ke
Published: November 2020

The main contribution of this paper is a refinement for deconvolutional single shot detector. Our model is called refinement deconvolutional single shot detector (RDSSD). In the field of object detection, most two-stage detectors are more accurate than one-stage detectors. We use its advantages to optimize deconvolutional single shot detector. Compared with DSSD, RDSSD mainly changes two parts: the anchor fine-tuning module and the specific detection module. The anchor fine-tuning module adjusts the scale and size of the anchors. The optimized anchors are used as the input of specific detection module and accurately detect the objects. By adding these two structures, a large number of negative samples are filtered out before the specific identification, and the size of the anchors is roughly adjusted, which helps detect confusing objects. RDSSD adds the loss of the fine-tuning anchor module and the loss of the specific detection module to get the total loss. This makes our method end-to-end. We use Pascal VOC2007 and Pascal VOC 2012 datasets to train the model. Our RDSSD with 320×320 input achieves 79.3 mAP on VOC 2007.
Automatic correction system of elementary arithmetic images based on deep learning
Authors: Liu Mingtao , Xia Xinyu
Published: November 2020

The elementary arithmetic exercise is corrected by manual traditionally, which is time consuming and inefficient. With the development of machine learning technology, the accuracy of image recognition is gradually improved, which can assist the manual correcting task. In this paper, a convolutional neural network model is built and trained to realize the recognition of numbers and operators in images based on Keras framework. After the training process, an automatic correction system for elementary arithmetic images is developed using the Django framework. The trained model is used to identify and correct the elementary arithmetic images automatically. The user uploads the elementary arithmetic images by the browser without installing any other application software, which can be used to help teachers in practice after some optimizations.
Semi Supervised Image Segmentation Based on Markov Random Field and Kernel K-means
Authors: Liu Xianfeng , Gao Zhiliang , Chen Ming , Luo Dandan
Published: November 2020

Semi supervised image segmentation uses a small amount of supervised information to improve the performance of image segmentation. In the first part of this paper, we construct a submodular regularization term based on Markov random field (MRF). The regularization term is combined with kernel k-means (KKM), and a semi supervised kernel k-means algorithm (SKKM) is designed based on graph cut technique. In the second part of this paper, we combine SKKM with smooth regularizer to get MRF & SKKM. The experimental results show that, compared with the original SKKM, the segmentation results of MRF & SKKM achieve better results in common evaluation indicators; moreover, compared with the binary image of segmentation results, MRF & SKKM has higher and smoother edge fiting.
Handwritten digit recognition based on corner detection and convolutional neural network
Authors: Zhong Chen , Wang Yuhang , Zhang Decheng , Wang Ke
Published: November 2020

In the field of inspection and testing, it is necessary to manually fill a large number of test record forms, and the digital information accounts for a large proportion in the record forms. For the purpose of automatic and accurate recognition of handwritten form data, this paper proposes a handwritten digit recognition method based on Harris corner detection algorithm and convolutional neural network(CNN). The Harris corner detection algorithm is used to identify the positioning marks in the form image, which determine the possible fill-in positions of handwritten digits. Through a 14-layer CNN model, and using the ReLu function as the excitation function, the handwritten digit features of the target area in the image are recognized. The experimental results show that the average recognition accuracy rate of this method on the test set can reach 98.14%. So a technical solution for intelligent recognition of record forms is thus provided.
A Fine-grained Sentiment Analysis Method Based on Dependency Tree and Graph Attention Network
Authors: Tan Yejin , Guo Wangshu , He Jiawei , Liu Jian , Xian Ming
Published: November 2020

With the rapid development of the Internet, e-commerce and social media have continued to develop and grow. Merchants tend to better understand users’ attitudes and emotional tendencies through comments. As the number of user reviews increases, the previous sentiment analysis methods have highlighted the problems of high cost and high error rate. How to use more advanced methods to analyse comments has become an urgent problem to be solved. In order to solve the above problems, in this article, we propose a fine-grained sentiment analysis method based on dependency tree and graph neural network, which can help businesses and social network platforms to identify users’ sentiment tendencies and can be subsequently used in recommendation systems and public opinion analysis systems. The experimental results show that our scheme has achieved the best results.
Digital zenith camera accuracy analysis scheme based on digital image processing
Authors: Yang Deguo , Cui Li , Liang Congxia
Published: November 2020

This article uses a digital zenith camera to perform field measurements to obtain high-precision astronomical longitude and latitude data. To identify the photographed stellar markers, we utilize FFT and digital image processing methods to do CCD star image matching, the establishment of a numerical fit model for star matching, and then the astronomical coordinates of the station against the table decomposition, and finally the use of astronomical geodesy to calculate the vertical deviation of the station and the error in cyclic observation, to test the instrument in the Sensitivity in both directions, astronomical longitude and astronomical latitude.
Local corner smoothing of linear toolpath based on B-spline fitting and its piecewise interpolation
Authors: Song Dening , Zhou Chao , Zhong Yuguang , Yao Jianjun , Ma Jianwei
Published: November 2020

Line segment toolpaths are commonly utilized in machining of complex parts with curved surfaces. However, the first-order discontinuity of the linear toolpath results in frequent variation of the feedrate, which is bad to the machining quality. To smooth the sharp corners of linear toolpath thus avoiding above problem, this paper presents a local corner smoothing approach. Compared with existing methods, the smoothed toolpath using the proposed the is one integral B-spline, instead of alternative straight-line segments and spline segments, which make the continuity more easily to ensured. Additionally, the integral long B-spline is interpolated through a piecewise feedrate scheduling method, thus the computational burden can be released. Effectiveness of the presented method in corner smoothing and kinematic constraining is demonstrated by illustration test.
Research on Manufacturing Process for Cross-Braced End of Bogie
Authors: Deng Yonghong , Liu Jian , Li Dong
Published: November 2020

To overcome the manufacturing defects and improve the manufacturing quality of the end of the cross-braced of Bogie, through the analysis of a rough and a formed structure of the end of the cross-braced, the stress situation in the key tapping process of the inner hole is calculated, the tapping process and the corresponding parameters are determined, and the corresponding control strategies are put forward for other key processes in the manufacturing. Through a large number of production practice, the manufacturing process can significantly improve processing quality, improve production efficiency and reduce production costs of the end of the cross-braced of Bogie.
Commonality Considerations in the Design of Flight Deck of Civil Aircraft
Authors: Dong Wenjun , Wang Yuan , Li Xianxue , Dong Dayong
Published: November 2020

Commonality in the flight deck can reduce development costs, shorten the time of operational courses e.g. transition time of pilots and expand the market, thus is becoming one of the most important features of modern civil aircraft design. Benefits from commonality in the flight deck was discussed in this paper as well as the aspects of commonality. Since commonality would bring significant benefits to the aircraft company and improve its profitability, more effort should be devoted to it.
Roasted sausage automatic baking & sales control system design
Authors: Li Qin , Liu Quanwen
Published: November 2020

Aiming to the present situation that roasted sausage sales need manual baking, sales so lower efficiency and smaller application range, this article is designed from the hardware model selection, hardware electric circuit design, software design and debugging, entity manufacture, install and debugging and other areas. Combining the computer technology, network communication technology and mobile payment technology in whole, the designed control system is able to feed roasted sausage automatically, automatically transmit to baking area for baking, automatically finish arrange prods and bunch prods after baked, then transport to the warm insulation area to keep warm. The roasted sausage and seasoning cabinet door will be opened automatically after the customers purchased and done payment, the customers can dipping the seasoning according to their own requirements, then the cabinet door will be closed automatically. This system continue realizes that full automatization from baking to sales, also merges with the new mobile payment technology, realizes the functions at mobile payment and remotes monitor and control, more convenient and practicable compare to traditional banknotes dealing method and manual guarding, and it has more strong practice means at improve efficiency and reduce human power input.
Simulation Analysis of Inductance Gradient of Series Enhanced Four-Rail Electromagnetic Launcher
Authors: Li Tengda , Feng Gang , Lian Zhongmou , Liu Shaowei
Published: November 2020

In order to study the characteristics of inductance gradient of series enhanced four-rail launcher, a three-dimensional simulation model of series enhanced four-rail launcher is built based on the theoretical calculation formula of inductance gradient of series enhanced four-rail launcher. The effects of armature position, time harmonic analysis frequency and the parameters of main and secondary rails on the inductance gradient under the influence of armature are analyzed by finite element method. The simulation results show that the inductance gradient of the series enhanced four-rail launcher is negatively correlated with the distance between the armature and the tail of the rail, the frequency of time-harmonic analysis, the distance between the main and secondary rails, the height and thickness of the secondary rails.
Reliability assessment method of DC protection system based on hierarchical modeling
Authors: Taoyao  , Yang Guosheng , Xu Kai , Ruan Siye , Dou Xuewei , Li Zhongqing , Xiao Xiangtao
Published: November 2020

The structure of DC transmission system is complexity, and the characteristics differ from components to components. It is difficult to adopt a single reliability assessment method for HVDC transmission protection system to be comprehensive, rapid and accurate. A reliability assessment method based on hierarchical modeling is proposed. At first the structure of DC transmission protection system is analyzed. It is divided into system layer, module layer and component layer. Then according to the characteristics of each layer, appropriate assessment methods are selected to assess each layer of the protection system. And corresponding reliability index is set the to realize the connection between each layer. Taking a DC transmission project as an example, the comprehensive reliability assessment of the protection system is carried out. Thereby the correctness and effectiveness of the proposed method is validated.
The Verification Method of Maintainability Indexes of Equipment Based on UML
Authors: Hong-liang Cui
Published: November 2020

Aiming at the problem that traditional methods can not deal with intercurrent activity and dynamic action, a algorithm of complex equipment’s maintainability index validation based on CPN and UML was put forward. At first, we demarcated the color class of warehouse and order-brand, held in flux and arc with happen condition, and found CPN model of complex equipment. Then, we transformed CPN model to UML model based on the mapping rule from CPN to UML. At last, we programmed to implement it. This method could deal with intercurrent activity and dynamic action of system beautifully, could implement the conversion from the model to procedure structure corking, and had good mutual ability. At last, the author validated MTTR of certain equipment. The result indicated that the apply bound is wide and the maneuverability is fine.
Design and Implementation of the Control System of the Internet of Things Washing Machine Based on STM32
Authors: Duan Qianqian , Zhang Yulin
Published: November 2020

With the development of science and technology, household appliances continue to develop in the direction of automation and intelligence. The emergence of the Internet of Things has promoted the development of intelligent household appliances. Washing machine is one of the indispensable household appliances for people nowadays. This article mainly introduces the design and realization of the control system of the Internet of Things washing machine based on STM32. The software and hardware of the control system were designed according to the specific requirements of the project. In terms of hardware, this control system uses STM32F103C8T6 as the main control chip, and the main controller is the core of the entire control system, responsible for communication with external devices. The washing machine main board reserves a serial communication interface for connecting to the DTU module, and the DTU module is used to realize the wireless communication between the washing machine main board and the server. In the software, the ucosii operating system is transplanted to improve the stability of the entire system to achieve the overall performance of the system.
Research on Formation Analysis and Fusion Processing Method of Multi-source Quality Data
Authors: Ruiwei Li , Huiyuan Li , Laiming Duan , Yingfeng Qiao , Yingxia Jing , Jianfeng Zhang
Published: November 2020

In view of the lack of unified, standardized description methods and heterogeneous quality data fusion processing methods for multi-source quality data in the quality control process of the manufacturing process. This paper analyzes the data source, formation process and data interface of multi-source quality data in the manufacturing process, builds a quality information model for manufacturing process quality control, uses failure mode analysis and optimization to identify key quality characteristics of product manufacturing process, collects and fuses the multi-source heterogeneous quality data produced in multi-variety mass production, and provides reliable and reusable data resources for manufacturing process quality analysis control and batch quality evaluation.
Analysis and prediction of COVID-19 in the US based on the time-varying parameters SIR model
Authors: Chen Juan , Xiong Yi , Tong Jiani , Wang Yuanyuan
Published: November 2020

With the data from the official website of the World Health Organization, this study calculated the transmission coefficient and other time-varying parameters to analyze the current epidemic situation in the US based on the SIR epidemic model. The reasons for the failure of the first wave of the epidemic were given from the perspectives of protection measures and the actual reproductive number. At the same time, the SIR model was improved based on time-varying parameters-β, and predicted the future development of the epidemic. The results showed that the actual reproductive number of the day fluctuated between 1.5 and 2 in May and June, but the various regions successively implemented the unblocking policies, which led to the crisis of the epidemic again. In this study, a time-varying parameter-β was introduced to predict that the outbreak in the US would turn around in late August. However, the trend of the epidemic is not optimistic, the US should invest more in developing COVID-19 vaccines.
Design and Implementation of a Test System for the Simulation Experiment of the Space Reactor
Authors: Wang Shijia , Liu Lei , Feng Jun , Yuan Jiandong , Zhang Xiao
Published: November 2020

With the increasingly mature development of China’s deep-space nuclear power technology, it is necessary to formulate a special nuclear reactor ground test application system. In response to the requirements of comprehensive functional testing of space nuclear reactor systems, a design method for a space reactor simulation experiment test system is proposed, designed and implemented a special comprehensive experimental test system suitable for the automatic control system of the space reactor is developed. The space reactor simulation experiment system has been verified by several comprehensive joint test experiments. It has a high degree of automation, simple operation, user-friendly interface, and easy maintenance. The implement of this system provides a reference for China’s future space nuclear reactor system ground test application and experimental verification research.
Fuzzing Technique in Web Applications and Beyond
Authors: Zhao Danyang
Published: November 2020

Web security is an old yet important topic. With the emergence of new applications and new threats, we need new techniques to fight against these threats. Fuzzing technique has been proven as an effective tool and has the potential of evolving with the new threats. In this paper, we discuss the applications of fuzzing technique in both web and other areas. We also present a case study by implementing a fuzzer in this study.