bluuebunny/crossref_metadata_2025 huggingface dataset:
Short-term Power Forecast of Wind Power Generation Based on Genetic Algorithm Optimized Neural Network
Authors: Zhou Canzong , Tang Bin , Cui Wei , Yao Zhengmao
Published: August 2020

With the rapid development of economy, human consumption of fossil energy has caused a global energy crisis. Nowadays, countries all over the world are making great efforts to develop clean energy. Wind energy as one of the pollution-free, renewable and high-quality clean energy, has attracted widespread attention. However, wind power generation is easily affected by natural factors and is instable. In order to improve the quality of wind power, this paper analyzes the influencing factors of wind power, studies the prediction method of wind power forecasting, and uses genetic algorithm optimization neural network to forecast the wind power of a wind farm in Northwest China, which may provide some reference for the power generation and grid connection of wind power plants.
Design and analysis of cable-driven mechanical gripper for complex manipulation
Authors: Zhang Deyang , Cheng Bo , Yue Zhiyong
Published: August 2020

This paper studies the design and analysis problem of a class of cable-driven mechanical gripper for complex object manipulations. More precisely, a new structure design of mechanical gripper with cable-driven mechanism is first proposed with details for effective object grasping. In addition, an effective method is developed to prevent overload of axial rotation torque of the gripper. Based on the designed gripper, the kinematic analysis is then carried out and the caging grasp analysis is shown.
Design and Implementation of an Indoor light supplement control system based on STM32 microcontroller
Authors: Yuan Fusen , Zhao Xuchen , Chen Hao , Ming Yue , Zhang Jie
Published: August 2020

At present, most traditional lighting methods use energy conversion methods, which not only causes great harm to the environment, but also has great functional limitations and low solar energy utilization. This paper proposes an indoor adaptive precise light supplement system that can be applied to multiple scenes. This system introduces the hardware and software components of the adaptive and accurate light supplement system from three aspects: the light follow-up system, the light supplement system, and remote monitoring. It realizes the information interaction between users and the system, which significantly improves the accuracy and efficiency of indoor lighting, and has great strategic significance for the full development and utilization of solar energy.
The Designation and Implementation for Human Skinned Mesh Animation Based on XNA
Authors: Zhang Shi-Nan
Published: August 2020

The technology of human skeletal mesh animation is one of the most important research focuses, and remains problematic in the researching field of computer animation. Firstly, this paper gives a comprehensive analysis on the theory and implementation of skeletal mesh animation, and then an engine framework was design and completed by using Visual Studio 2012 and XNA4.0 as development tools. In oder to improve the executing efficiency and reality of animation, Effective measures such as optimizing rotating algorithm, animation blending and using GPU to update vertexs are used here.
Application of Information Science in Museum Lighting Design and Psychophysics
Authors: Zhao Guohua
Published: August 2020

This paper mainly discusses the influence of different lighting methods and building height on visitors in the museum environment. This study takes Ningbo Art Museum as the experimental site. Four exhibition areas with different floor heights and different lighting methods were selected for objective field measurement, and subjective scores were given according to the types of lamps, lighting methods and the atmosphere created by control methods. Objective data measurement and subjective questionnaire survey were used in the experiment. In the subjective part, 20 visitors were selected to investigate the emotion of visitors through questionnaire survey. Finally, SPSS is used to analyze the data. Through field investigation and subjective information analysis, this paper closely combines electrical engineering with information science research, which lays a solid foundation for improving the integration of Museum electrical lighting design and visitors’ psychological information.
Complex network
Authors: Tan Yangxin , Wu Junlin , Zhong Qing
Published: August 2020

With the improvement in the accuracy of solutions and the increase in the complexity of social problems, social division becomes more important, and teamwork has become an important way to solve complex problems. The efficiency of a team is affected by many factors. How to evaluate the operation of a team is a very meaningful topic. A team consists of members. The characteristics and abilities of members determine their roles in a team, and naturally affect the efficiency of the team. The cooperation between team members is also an important factor in achieving high efficiency.
Storm Scheduling Based on Non-cooperative Game
Authors: Ma Haixu , Xin Feng , Wang Guilei , Sun Kaiwei , Xiong Mingyuan
Published: August 2020

With the continuous development of Internet technology, a large amount of data with rich value has been generated, and lagging data analysis will affect the timeliness of data, so real-time streaming data processing is becoming increasingly important. Storm is a pure streaming data processing framework, but it uses the polling scheduling algorithm by default. This algorithm ignores the network communication overhead between workers and cluster load balancing. Aiming at Storm’s default scheduling problem, a non-cooperative game-based Storm scheduling algorithm (G-Storm) was proposed. Storm extracts the source data in real time through the component “Spout”, passes it to the logical processing component “Bolt”, and finally loads it into the target warehouse. The experimental results show that the game scheduling algorithm proposed in this paper reduces the system processing delay by 28.6% compared with the default scheduling algorithm.
Industrial Time Series Data Forecasting of LSTM Neural Network Based on Attention Mechanism
Authors: Jiang Zhiwei , Peng Xiudong , Sun Yuanfeng , Zhu Mengyun
Published: August 2020

At present, the maintenance mode of industrial equipment is still based on regular maintenance and after-the-fact maintenance, and with the development of industrial production intelligence, the production data of equipment has increased dramatically. In order to reasonably carry out maintenance activities in the use stage of CNC machine tools and other industrial equipment, this paper proposes an industrial time series data prediction method based on LSTM of attention mechanism. Firstly, based on the LSTM recurrent neural network, combined with the complex historical data of CNC machine tools, the overall characteristics of important time series are obtained. Secondly, the mechanism of attention analysis is introduced, and the algorithm of network structure design and prediction process is given. Finally, the accuracy of prediction is compared with experiments with standard BP neural network. The experimental results show that, compared with the standard BP neural network, the LSTM model based on the attention mechanism has higher prediction accuracy, which verifies the effectiveness of the method.
Research on water extraction technology of remote sensing image based on neural network
Authors: Zhang Qiang , Wang Xiao-Nan , You Ya-Nan , Li Han
Published: August 2020

With the rapid development of space-based facilities and the increasing number of remote sensing satellites, more and more effective observation data can be obtained on the ground. The traditional manual translation method will not meet the requirements of remote sensing application. Aiming at the problem of water body extraction in remote sensing application, an automatic water body recognition method based on U-Net deep neural network is proposed. The results of water body NWDI index evaluation are considered comprehensively, and the interference elimination model is used to process the results of water body rough recognition, so as to further improve the extraction accuracy. Using the image data of a remote sensing satellite to verify the water body recognition method, the results show that the proposed method can automatically extract the water distribution area, and the extraction accuracy is better than 85%.
Color transfer based on color classification
Authors: Xie Bin , Zhang Kang , Liu Ke
Published: August 2020

In order to solve the problem that the global color transfer algorithm may fail in color-rich images and the resulting images do not have a sense of hierarchy, this paper proposes a color transfer algorithm based on color classification mapping. When faced with a colorful image, the global color transfer algorithm will be weak, and the resulting image will not have a sense of hierarchy. Therefore, it is necessary to use a local algorithm for color transfer. The k-means algorithm based on color classification is used in this paper. Through this algorithm, rich color information can be classified, so that it can be transmitted separately in each color classification. A large number of experimental results show that compared with the global color transfer algorithm, the color transfer algorithm used in this paper is more layered, the result is more accurate, and it has a better performance in terms of visual effects.
A Survey Deep Learning Based Relation Extraction
Authors: Zhang Xiaxia , Dai Yugang , Jiang Tao
Published: August 2020

From human understanding of natural language to machine understanding of natural language, NLP has become the mainstream technology in the world.Extracting useful information from massive information, namely information extraction (IE), such as relation extraction (RE), is one of the important semantic processing tasks.With the explosion of web texts and the emergence of new relations, the margin of human knowledge has increased dramatically, and unstructured text processing has become a problem that needs to be overcome, so people have been working on RE for many years. From the earliest pattern matching to the current popular neural network, RE has made significant progress. After reviewing the development history of relation extraction, this paper analyzes and discuss the development of existing neural network models and pre-trained language models from static technology to dynamic technology and reinforcement learning; finally, combined with the latest development of NLP research technology, the future research direction and trend of entity relation extraction are prospected.
Modeling and verification of CTCS-3 level code sequence verification scene based on UPPAAL
Authors: Xiao Wei , Kuang Wenzhen
Published: August 2020

Taking the code sequence verification scenario of the autonomous CTCS-3 train control system as an example, on the basis of introducing the code sequence verification function, it is proposed to take the security function attributes, functionality and time requirements as the verification objectives, at last, the workflow of the scheme is analyzed in detail, and the behavior and action of each module of the system are standardized by the timed automata language. The timed automata network model of the workflow sequence of the code sequence verification scheme is established, which lays the foundation for the later verification. Then, the nature of the system is verified by the UPPAAL verification tool. The research shows that: in the process of model establishment, strictly in accordance with the specification content, the description of the specification is accurate, and at the same time, the modeling and verification method of the train control system based on the time automaton can effectively study the security, timing and characteristics.
Research on equipment fault prediction expert system based on big data dimension reduction
Authors: Zhu Ningning , Song Bin , Lu Yan , Li Yingtang , Zhu Zhongzheng
Published: August 2020

Due to the complex structure and massive volume of large equipment in petrochemical enterprises, it was very difficult to carry out inspection and maintenance work. The traditional expert system used a single knowledge base and reasoning machine, so the processing efficiency and prediction accuracy were low. In this paper, the dimensionality reduction which is used to process a large amount of physical information collected by the sensors, remove redundant components and extract main characteristic parameters. Meanwhile, combined with the powerful pattern recognition and judgment ability of fuzzy neural network, the forward reasoning mechanism and error back propagation keeping continuous training correction until meeting the accuracy requirements, the expert system gave the equipment fault prediction conclusion. Finally, taking main fan oil station circulating oil pump and motor of heavy oil catalytic cracking unit and nine stages of bearing damage as monitoring objects, the fault predictions was implemented by the following steps: data collection, feature extraction, dimension reduction of big data and expert system with the fusion of fuzzy neural network, and it is proved that the expert system with fuzzy neural network based on dimension reduction can greatly improve the convergence speed.
Application of 4G IOT Card in Automatic Weather Station
Authors: Sun Longyu , Wu Jinwen
Published: August 2020

The “Industry Application Card” (an SIM card of the 2G dedicated line network) for the automatic transmission of weather station data widely used by the meteorological department of Liaoning Province had been strictly investigated, and it was found that the “Industry Application Card” supports the access between the public network and the private network, and allows text messages to be sent to the “civil SIM card” of the public network through the private network, so it is the preferred SIM card for telecom fraudsters. The 4G IoT card solves these problems. Open the Ping Tester app after inserting the IoT SIM card into the tester mobile, then use it to ping the IP address of the server in Liaoning Meteorological Information Center. A successful connection would imply that the connection to the Liaoning Meteorological Information Center’s Intranet via IoT is functional, and that the IoT SIM card can be used to automatically transmit the meteorological station’s data. The automatic weather stations generally using the automatic weather station models of local meteorological bureaus in Liaoning Province can use “Huayun Shangtong local maintenance management software” for the parameters configuration of automatic weather stations. After the “Huayun Shangtong local maintenance management software” is connected to the port of the automatic weather station, by finding the matched automatic weather station type, entering the error diagnosis interface of the corresponding station type, clicking the “Start Monitoring” button to read the device status information.
A Ridge-Valley Line Extraction Method on Hole Filling of Groove Point Cloud
Authors: Cheng Jie , Yin Yong
Published: August 2020

Among several teaching methods of welding robot, the one based on 3D point cloud path extraction is a much more intuitive approach. However, due to reflectivity, corrosion and insufficient illumination, etc., the point cloud on the workpiece is squeezed into a small hole that hinders the path planning. Thus, this paper puts forward a hole segmentation and filling algorithm on the basis of ridge-valley line extraction. Firstly, the discrete curvature of the point cloud surface is estimated by Weingarten mapping properties, and the ridge and valley feature points are identified. Then, an improved connection algorithm is used to connect the ridge and valley points, and the feature lines obtained by fitting divide the holes into simple sub-holes. Finally, after the rough filling of each sub-hole with triangulation and subdivision algorithm, the positions of the newly added vertices are adjusted to the RBF (Radial Basis Function) implicit surfaces to complete the hole filling with sharp and curved features preserved. The experimental results show that this method can restore the sharp and curved features well on different groove point clouds.
Dynamic Simulation Test of Chemical Cleaning of Superheater
Authors: Li Liang , Yu Yang , Zhou Yang
Published: August 2020

The dissolution of superheater oxide skin by compound cleaning agent was studied in a dynamic simulation test device. The corrosion rate of compound cleaning agent on various materials was studied by weight loss method. The results show that the compound cleaning agent can remove the oxide skin formed on the surface of various materials and the austenitic steel was cleaned without intergranular corrosion.
A Cross-Validated Combined Forecasting Method And Its Application in Power Wind
Authors: Wang Shangbin , Ren Xinghui , Li Honghai , Zhai Yong , Yuan Liwei , Yuan Zhimeng
Published: August 2020

A Cross-Validated combined forecasting method is proposed to retain more data information of wind power at each time level, so that the wind power forecasting results at different time scales meet the aggregation constraints. We used the actual data of a wind farm in Shandong Province to verify the effectiveness of the method. The results show that compared with the existing method, forecasting with Cross-Validated combined increases accuracy over conventional forecasting, particularly in different time levels with larger sampling interval.
Improved Droop Control Strategy Based on SOC Power Exponent with Secondary Voltage Compensator
Authors: Guo Kunli , Fu Jianzhe , Yan Dong
Published: August 2020

Aiming at the problem of over-charge and over-discharge caused by different state-of-charge (SOC) of multi-energy storage units in traditional droop control, an improved droop control strategy based on the SOC power exponent of lithium battery with secondary voltage compensator was proposed. First, based on the relationship between the SOC of the lithium battery and the charge and discharge current, a controller with the power index of SOC compensation sag coefficient is designed to balance the charge and discharge speed of lithium battery. At the same time, in order to reduce the DC bus voltage deviation during system disturbance, a secondary voltage regulator is added. Finally, the Matlab/Simulink simulation model is built to verify the proposed strategy under the load switching environment. The results show that the control strategy can control the charging and discharging current of the energy storage unit according to the SOC real-time state quantity, ensuring the safe and stable operation of the DC microgrid.
Application of Parallel Resonance System in Insulation Detection of Low Voltage Power Grid
Authors: Zhang Xiu-Hua
Published: August 2020

This paper made analysis on the topic of Low-voltage network that contacts parallel resonance system with cable. A new method in detecting insulation parameters was presented through added testing resistance in single phase. The corresponding circuit model is established and the theory is proved that there is linearity among resonance capacitance, inductance and insulated resistance. Simulation study was carried out in this paper. The research shows: the testing error of this insulation detection method is within±0.5% which has high accuracy.
Analysis and Research on the Construction of Virtual Reality CNC Machine Tool Mode
Authors: Xia Tian , Mu Qi , Gao Ying , Zhao Yi-Hao
Published: August 2020

With the establishment of virtual reality machine tool model as the object, the structure, assembly, movement and simplification of virtual machine tool are analyzed and studied by means of component import method and zero-return method, the calculation of initial position compensation is reduced by retaining the coordinates of the model itself. The model is simplified by using Deep Exploration software and removing part of the model. Finally, driving experiments are repeated, so as to ensure the accuracy of machine tool model and increase the operator’s “3I” (immersion, interaction and imagination) experience, and finally its effect is verified. The results show that this method can achieve the desired goal and is a simple and effective method to ensure the accuracy of machine tool model.
Design of a Liquid Cooling Plate for Power Battery Cooling System
Authors: Zhang Ju , Li Xueyun
Published: August 2020

A liquid cooling plate is designed for the cooling system of a certain type of high-power battery to solve the problem of uneven temperature inside and outside the battery in the liquid cooling process. According to the thermal characteristics of the battery, the structure of liquid cooling plate is designed and a coil-type liquid cooling plate structure is proposed. The structure can ensure that the coolant reaches the center of the high temperature first, and then flows around. The temperature field of cell monomer under natural convection is simulated, and the conjugate heat transfer of liquid cooling plate is simulated, and the simulation results of temperature field is compared. The results show that relative to natural convection, the battery temperature under natural convection, the maximum temperature difference in the high temperature region of the battery with liquid cooling plate drops by 13.19 ° C, and the highest temperature drops by 25 ° C. Furthermore, temperature of battery distribution is more uniform, and the battery could work in the optimum temperature range, and the surface temperature of the battery is basically constant, this shows the effectiveness of the design.
The influence of feedback channel delay of servo motor control system on current loop bandwidth and dynamic response
Authors: Wang Chaoran , Luo Jian
Published: August 2020

In the servo control system of permanent magnet synchronous motor, the current loop, as the innermost loop, has the greatest impact on the performance of the whole system. For many reasons, the delay time exists in the current loop. This paper focuses on the analysis of the less analyzed feedback channel delay in the previous papers, obtains the relationship between the feedback channel delay time and the current loop bandwidth, and compares the relationship between the forward channel delay time and the current loop bandwidth, and analyzes the relationship between the feedback channel delay and the current loop dynamic response, which provides a theoretical basis for the actual project to improve the current loop bandwidth.
A robust adaptive control method for reactive power of doubly-fed induction wind generator
Authors: Luo Xiaosuo
Published: August 2020

Some of the existing control strategies for reactive power of doubly-fed wind generators are only based on the simplified transfer function model without considering the existence of disturbance and some require real-time adjustment of the algorithm to meet different operating conditions. In order to overcome the above problems, a robust adaptive control method is introduced into the field of reactive power control of doubly-fed induction wind generator in this paper. An adaptive reactive power control strategy for the grid-side converter of doubly-fed wind generator is proposed, and the effectiveness of the algorithm is verified through simulation verification.
Application of DR Detection Technology in Defect Detection of Composite Insulators
Authors: Li Wenbo , Jiang Yue , Liu Lanlan , Zhu Jiran , Wang Jun , Xie Yi , Li Jinliang , Long Chenhai , Yang Miao
Published: August 2020

The main reasons for the failure of composite insulator are the fracture of core rod and the breakdown of interface, however, due to the particularity of composite insulator, the traditional insulator detection method is not fully applicable to it. The development of composite insulator needs the emergence of new detection technology. In this paper, DR (DirectDigital Radiograph) detection technology is used to detect the artificial simulated defects of composite insulator, and the clear imaging of composite insulator’s core rod defect, core rod and sheath interface defect is obtained. The research results can provide research basis for the application of DR detection technology in the field of composite insulator defect detection.
Design of a Wireless Temperature and Humidity Monitoring System Based on ZigBee Technology
Authors: Liu Hai-Yang
Published: August 2020

With the development of the Internet of Things (IOT), ZigBee is more and more widely used in the field of automatic monitoring. In this study, ZigBee wireless sensor network is developed and applied in the specific field of environmental temperature and humidity measurement and control. It builds a wireless sensor network based on ZigBee technology, highlighting the technical advantages of low power consumption, safety and reliability, large network capacity and excellent topology ability, to realize the dynamic collection, analysis and processing of relevant data.
Research on the aged fall detection and alarming based on Doppler radar technology
Authors: Zhang Lin , Li Xiangdong , Zhao Xingwen , Zhang Yanbo , Yan Guang , Yang Xiuwei , Liu Chengye
Published: August 2020

Accidental fall among the aged is the “number one killer” which destroys their physical and mental health. Therefore, the realization of the aged fall detection and alarming system to judge the situation of the aged is imperative. In this paper, the platform of fall detection for the aged based on doppler radar is designed and implemented. When the aged falls down, the platform of fall detection will sound alarm. The effectiveness of this method is proved by the experiment results.
Self-attention Networks for Speaker Identification with Negative-Focused Triplet Loss
Authors: Mo J , Xu L
Published: August 2020

In this paper, a model based on self-attention for text-independent speaker identification task is proposed. Traditional CNNs are expert at capturing local features but are inefficient when capturing long-range dependencies. The self-attention helps to capture long-range dependency more efficiently and requires less parameters. Besides, based on Triplet Loss and inspired by Weighted Triplet Loss, we propose a novel loss function for speaker identification task, named Negative-Focused Triplet Loss, which makes the training process more efficient and effective. To evaluate the performance of our model, the experiments are conducted on Voxceleb dataset, and we achieve Top-1 accuracy of 90.3% and Top-5 accuracy of 96.9%, which are competitive with the previous state-of-the-art performance. Without any hard sample selecting operation, we achieve better result than the baseline method that uses Cluster-Range Loss or Triplet Loss, which demonstrates the high efficiency of our proposed approach.
Design of face recognition system based on CNN
Authors: Li Yong , Wang Zhe , Li Yang , Zhao Xu , Huang Hanwen
Published: August 2020

This paper studies and implements a face recognition system based on convolutional neural network. The system firstly uses AdaBoost algorithm to detect the face, that is to get the position and size of the face accurately in the image, then uses the deep convolution neural network to extract the face features and classify them. Finally, the hardware application Altera DE1_SOC development board, designs and completes a face recognition system with high recognition rate.
Research on Fast Detection and Recognition of Object Features Based on Feature Line Matching
Authors: Wu Tianbao , Zhou Mudan
Published: August 2020

As one of the most prominent and important features of visual information, feature lines exist in real objects and target scenes. The characterization features of the pixels on the feature line are constructed. The pixels are classified and output by representing the eigenvalues to complete the classification of different target feature lines. The local gradient information of the points in the straight line segment is extracted and the midpoint descriptor is formed to match the straight line segment accurately. The edge detection is performed sequentially, the edge line of the object feature is extracted, and the edge principal point is obtained simultaneously according to the distance judgment. The research shows that the feature line matching method greatly reduces the calculation amount of matching and greatly improves the matching accuracy. The flexibility of building samples is strong, and different levels of sample forms can be selected according to different application requirements, and the robustness of matching and identification is good. The method is suitable for rapid detection and identification of object features, as well as product feature detection and recognition.
Analysis of garlics lateral conveying performance based on EDEM
Authors: Huang Weitao , Zhao Dong , Liu Cheng , Meng Xianjiang , Du Wenhao
Published: August 2020

This article studied the effect of different conveyor belt speeds on garlics transportation in the process of garlics harvesting and lateral conveying. The lateral conveying process of garlics is simulated by EDEM, and the optimal transportation speed interval is obtained by simulating different transportation speeds. The simulation results show that the conveying speed range of conveyor belt is 2.46-3.46 m /s when the plant spacing of garlics is 0.1 m, the row spacing is 0.12 m, and the 16 harvesting units of garlics combine harvester harvest at the speed of 2 m/s at the same time, which can effectively avoid the problem of garlics accumulation on the lateral conveyor belt when the conveying speed is too slow, and garlics leakage and garlics secondary damage problems when the delivery speed is too fast. The research can provide some theoretical reference for the design of garlics transversal conveyer and the selection of conveying speed.
Forecast of the Change Tendency of Sea Ice Extent in Liaodong Bay
Authors: Wu Jinwen , Sun Longyu , Zhang Yushu , Feng Rui , Yu Wenying , Ji Ruipeng
Published: August 2020

Since massive sea ice occurs in the sea area of Liaodong Bay area, sea ice products are greatly demanded by offshore drilling platforms, marine transportation and coastal aquaculture. It is imperative to develop from sea ice monitoring to live + forecast of development tendency. An one-month latency response can be found between the maximum sea ice extent and the minimum average temperature as per their relationship. Hence, analysis on the latency correlation has been conducted through constructing sea ice tendency forecasting models for the sea ice developing and melting stages. According to the result, the negative accumulated temperature is a favorable forecasting factor since sea ice in Liaodong Bay is affected by the accumulated change of previous temperature factor. Besdies, the sea ice extent is significantly correlated with the accumulated freezing temperature of ≤-2°C in the sea ice developing stage. And in the melting stage, the average maximum temperature of 11 days has the most significant correlation. What’s more, as the accumulated temperature change rate is similar to the fluctuation of curve of the sea ice extent, the accuracy of the forecast model is climbed to 79% upon studying the relationship between the difference and the accumulated temperature change rate of the forecast model and the sea ice monitoring extent.
A Case Study in Credit Fraud Detection With SMOTE and XGBoost
Authors: Meng Cuizhu , Zhou Li , Liu Bisong
Published: August 2020

Credit fraud observations are minority in the sample set, variables tend to be seriously unbalanced, and the prediction results tend to be biased towards more observed classes. Common resolution usually constructs 1:1 data, either cutting off part of more classes (undersampling) or reducing classes for bootstrap sampling (oversampling). XGBoost is an efficient system implementation of Gradient Boosting, and also GB algorithm based on CART. Based on the real online transaction data of an Internet financial institution, this paper studies the performance of XGBoost algorithm on the original data set, the undersampling and SMOTE data sets respectively.
Software Supply Chain Analysis Based on Function Similarity
Authors: Sun Wenjie , Shan Zheng , Liu Fudong , Li Xingwei , Qiao Meng , Zhang Chunyan
Published: August 2020

The supply of open source and open source components is growing at an alarming rate, while vulnerabilities in open source components are everywhere. Software supply chain analysis aims to discover third-party components and open source code used in a software, and analyze the software’s dependence on components. In this paper, we propose a software component analysis method and a known vulnerabilities detecting method. By scanning the open source components of the binary file and conducting vulnerability analysis, the known vulnerabilities are detected. This paper mainly solves the problem of detecting known vulnerabilities in the supply chain of binary files. We conducted a case analysis and achieved good results.
Multi-functional nursing bed lateral function improvement design
Authors: Li Wei , Lu Li
Published: August 2020

In this paper, a new lateral model — fixed axis lateral model is proposed based on the functional requirements of the lateral body. Based on the lateral body model, the nested combined turning-over bed frame and its new lateral body mechanism are designed. Through the kinematic analysis of the lateral body mechanism, the relationship between the rotation Angle of the upper body side plate and the displacement of the driving slider is obtained.
Research on service quality evaluation method of cold chain logistics of agricultural products based on key control points
Authors: Fu Mian , Wang Dandan
Published: August 2020

Based on the idea of key control points, the evaluation model of cold chain logistics service quality of fresh agricultural products is constructed. Based on the analysis of the characteristics of cold chain logistics of fresh agricultural products, combined with SERVQUAL model and LSQ model, four key control points of service quality of cold chain logistics of fresh agricultural products are selected, and the fuzzy comprehensive evaluation method is used to analyze the evaluation examples. The results show that the method is effective.
The control chart with practical importance for linear profile
Authors: Liao Yuqiong , Zi Xuemin
Published: August 2020

In recent years, linear profile monitoring has become one of the popular research directions in SPC. Although the linear profile model is simple and widely applicable, it is too sensitive to small parameter changes, leading to an increase in false alarm rates. This paper presents a new control chart with the practical importance for linear profile. The control chart can be more tolerant for the small shifts comparing the conventional control chart with considering the practical importance, so as to ensure that the really important changes are detected. The simulation study shows that the new control chart can be used to detect the change of intercept and slope efficiently. Based on control chart provided by Kim (2003), we obtain the threshold for the control chart with tolerance under null hypothesis with nominal in control run length (ARL
0) and also yield run length for the situations of out of control (ARL
1).
Research and Application of Smart Lock Safety Management and Control System
Authors: Wei Song
Published: August 2020

The total number of switch stations and distribution stations in the distribution network has increased year by year; overhead lines have been gradually cabled to the ground; the number of ring network cabinets and box-type transformers has increased rapidly. The distribution network equipment has the characteristics of “small, large quantity, and decentralized”, and it is difficult to manage. For a long time, problems such as theft, unauthorized unpacking operations, and unauthorized private operations have been troubling distribution network operation managers, affecting the safe and stable operation of the distribution network and reliable external power supply. The intelligent lock safety management and control system proposed in this paper is based on the actual situation of the power distribution network, and replaces the original mechanical lock with an intelligent lock. The system implements real-time effective management and control of the production operation process and status of power distribution equipment through the “authorized unlocking” of the handheld terminal. At the same time, it implements information and visual management of equipment, staff and related information, so that distribution network managers can play the role of “master”. This system can manage and control the power distribution equipment, and improve the operation and management level of the power distribution network.
Research on Speech Recognition Technology in English Pronunciation Similarity
Authors: Hu Jiajun
Published: August 2020

Authentic English pronunciation is very important in daily communication and mutual understanding. With the improvement of automatic speech recognition technology, the computer-aided pronunciation practice (CAPT) system can already provide limited interaction for second language learners. Pronunciation similarity comparison is a key step in building a system, designing a model that recognizes the similarity of English pronunciations. By calculating the similarity between the learner’s pronunciation and the standard voice, and comparing with the expert’s score on the learner’s pronunciation, the correlation between the two is calculated to verify the feasibility and effectiveness of the model.
Design and Optimization of Feeding Device for Sterile Seed Long Fiber Extractor
Authors: Sun Juyan , Liu Tong , Liu Jiazhen
Published: August 2020

The feeding status of feeding device is an important factor that affects the performance of the main machine and even the process line. Taking the assembly layout of the feeding device and the structure of key parts as the research object, we conducted research design and analysis of the feed roller and cotton-feeding roller structure and their configurations. The results show that vertical feeding is conducive to the continuous and uniform feeding of materials; the combined use of cotton-plucking feed roller with roller is superior to the combination of multiple rollers; the progressive differential feeding mode makes for gradually thinning the material bed, improving the long fiber extraction rate, reducing the impurity rate, reducing the unattached fiber and greatly improving the machine performance; Φ58×1200mm cotton-feeding roller with a hexagonal spindle structure has higher deformation resistance than simple hollow structure. The research can be a reference for the optimization and design of sterile cottonseed extraction machine and equipment.
Design of self-propelled asparagus mechanized harvesting device
Authors: Zhang Rihong , Zhu Lixue , Yang Songxia , Yao Huaping
Published: August 2020

At present, the harvesting process of asparagus still depends on manual work, which is faced with the problems of large labor intensity and labor shortage. At the same time, the growing law of asparagus is random and the growth height is different. This paper presents a mechanized harvesting machine of self-walking asparagus. The punching angle and cutting height of pneumatic punching mechanism and the inclination angle of feeding roller can be adjusted in a certain range, which can adapt to the wide working conditions and harvesting demands.
Design of feed screw conveyor
Authors: Liu Mingming , Wang Ning , Chen Xiaomei , Shan Ying , Li Jiangpeng
Published: August 2020

Aiming at the problem of material transportation in the feed industry, a kind of feed screw conveyor was designed. The overall structure design of the screw conveyor was completed according to the parameters of material particle characteristics and conveying requirements of the feed. The functional parameters in the design process of the screw conveyor were calculated. The test results show that the design meets the transportation requirements and provides a reference for similar material transportation.
Study on rising flow characteristics of triple bubbles
Authors: Zuo Juanli , Zhang Kai , Wei Bingqian , Hou Jingming , Zhang Ning , Wu Shuang
Published: August 2020

In order to study the influence of bubble size and distance on the interaction between bubbles, this paper discussed the rising movement characteristics of triple bubbles in static water based on Fluent software. By analyzing the rising track, flow fields and velocity of bubbles, the results show that, when bubble diameters are 4mm, 4mm, 4mm, the distance between the left bubble and the middle bubble is smaller than the minimum coalescence distance, and they coalesce. When bubble diameters are 6mm, 4mm, 4mm, the velocity and track of the small bubble at the bottom will be affected by the wake of the big bubble as the big bubble rises, but they do not coalesce. When bubble diameters are 2mm, 6mm, 2mm, the smaller bubbles on both sides are attracted by the middle bubble and they coalesce; there is almost no vertical rise or deviation process.
Data-driven trajectory tracking of manipulator with event-triggered model updating
Authors: Wang Yuanxiang
Published: August 2020

In recent years, robot industry has developed rapidly, which has been widely used in industrial production and social life. The control problem of manipulator system with strong nonlinearity has become a hot spot. The difficulty of the trajectory tracking control of the manipulator is that the manipulator system is generally complex, and its dynamic model is very complex, including multiple mutually coupled inputs and outputs, sensor noise, friction in the manipulator and the flexibility of the joint link, which makes the manipulator system highly nonlinear. At the same time, due to some errors in the measurement of some inherent parameters of the manipulator, as well as different interference in the external environment, it is difficult to establish the accurate mathematical model of the manipulator system. In this paper, the Gauss process feedback linearization method based on the updating of the event triggered model is applied to a manipulator system with three degrees of freedom to realize the trajectory tracking control of the manipulator. And for the real-time requirement of trajectory tracking of manipulator, sparse Gaussian process regression is used to solve the problem of large amount of calculation of Gaussian process regression under large data samples.
Dynamics model of NIMBY risk diffusion system in ‘The Belt and Road’ energy investment
Authors: Sun Jin-Hua , Hu Jia-Li , Pu Dong , Hu Jian
Published: August 2020

Through the analysis of the interaction among various influencing factors in the ‘NIMBY’ risk diffusion system, the boundary of NIMBY risk diffusion system in ‘The Belt and Road’ energy investment is determined, and the basic assumptions of the system dynamics model are made. On this basis, a causal relationship diagram of NIMBY risk diffusion is established, and the mechanism of nimby risk diffusion is explained in the form of cause tree. Moreover, based on the causal relationship diagram, the flow diagram of NIMBY risk diffusion system was established, and the system dynamics model framework was determined.
Design of Diaphragmless Shock Tube and Research on its Normal Temperature Characteristics
Authors: Zhang Ming-Yuan , Chen Xi , Liu Peng , Yang Kai-Di , Zhu Hai-Dong
Published: August 2020

Shock wave is an important physical phenomenon in supersonic airflow. The shock tube is an experimental device that generates shock wave. It generates shock wave by generating a pressure difference between its high-pressure section and low-pressure section. Most researchers in the world use diaphragm shock tubes to generate shock wave, such as single diaphragm structure and double diaphragms structure type shock tubes. Although the type of shock tube can generate an incident shock wave with a wide range of Mach numbers, in the process of producing shock wave and breaking film, there will be broken film fragments interfering with the flow field. And every time the researcher needs to replace the diaphragm after the experiment, the efficiency of the experiment is low. In this paper, a diaphragmless shock tube is designed. The high-speed reciprocating motion of two pistons in the high-pressure section is used to replace the process of membrane rupture. And the normal temperature characteristics of the shock tube are researched.
Structural Design and Simulation Analysis of 1000kN Large Tonnage Steel Strand Testing Machine
Authors: Gu Weilin , Li Xiaoyang , Feng Jianhe , Yang Tingshuai , Cui Weihua
Published: August 2020

The structure design of 1000kN steel strand testing machine was carried out aiming at the requirement of large-tonnage mechanical performance testing of the steel strand. The structure of the testing machine was simulated to analyze the stress and deformation of key parts in the main structure with the help of finite element analysis software. The results show that the mainframe has good rigidity and the main components meet the strength design requirements.
Simulation and research of one-way valve Piston Pump based on AMESim
Authors: Qin Zhenhua , Wang Kezhou , Li Yueyang , Sun Juyan
Published: August 2020

Plunger pump is the main pressure source in high pressure hydraulic system, the inclination Angle of the swash plate in the plunger pump is one of the main factors affecting the performance and efficiency of the hydraulic system. This paper deeply analyzes the swash plate Angle and the plunger form on the influence of the plunger pump flow and pressure, theoretical analysis, numerical calculation and AMESim simulation were used to analyze and compare the flow and pressure of the plunger pump under different conditions, and the pressure flow curve of the plunger pump was obtained, which laid a foundation for the structural design and pressure flow characteristics of the plunger pump.
Kinematics Analysis and Trajectory Planning of the Working Device for Hydraulic Excavators
Authors: Zhang Jingming , Zhang Zhen , Luo Nianning
Published: August 2020

Robotization has become a research hotspot in the field of excavation machinery. In this paper, the excavator working device is regarded as the open-chain 4 DOF manipulator. The link coordinate system is established by D-H method, and forward kinematics from the configuration space to the joint space is analysed. Moreover, inverse kinematics and the mapping relationship between the joint space and the driving space are solved by geometric approach. The manipulator kinematics model is developed based on MATLAB Robotics Toolbox. Meanwhile, the point cloud image of the workspace for the excavator working device is plotted by the Latin hypercube sampling, and the complete working sequence for the excavator is planned and simulated. To verify the effect of trajectory planning, a multi-physics domain fusion model including the mechanical kinematics model, the hydraulic subsystem and the trajectory tracking control strategy was implemented by hybrid modeling method in MATLAB. At the same time, this work also presents a theoretical reference for the research of the motion trajectory for the excavator working device.