bluuebunny/crossref_metadata_2025_split huggingface dataset:
Application of 4G IOT Card in Automatic Weather Station
Authors: Sun Longyu , Wu Jinwen 
Published: August 2020

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

AbstractIn 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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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.