bluuebunny/crossref_metadata_2025_split huggingface dataset:
Research on Large-diameter Electro-hydraulic Rotary Table and Its Control System for Deep-water Drilling Rig
Authors: Wang Weixu , Zhang Bin , Li Yunpeng , Dou Wei , Yang Xiuju , Liu Jing , Wang Xinwei 
Published: August 2020

Abstract
With the rapid development of offshore oil and gas drilling equipment industry, it is imperative to study the technology of large-diameter electrically controlled hydraulic rotary table for deep-water drilling rig. Firstly, the hydraulic rotary table design is carried out, which include mechanical structure, electronic control system and hydraulic system design. Secondly, studying the electric control system. The driving force of the electric hydraulic rotary table comes from the hydraulic system, and its control function is mainly realized by the electric control system. This paper analyzes the input and output of the the hydraulic rotary table’s electric control system, completes the design of the hardware system and software system, and puts forward an electric control system scheme of the hydraulic rotary table with perfect function and reasonable configuration. Finally, the conclusion is drawn that the hydraulic rotary table, which is driven by hydraulic motor and rotates at low speed, has the characteristics of compact structure, light weight and large opening size, and can meet the requirement of laying down the riser. It is of great significance to the development of deepwater offshore drilling equipment.
Overview on Risk Assessment of Power System under Typhoon Disaster
Authors: Du J M , Hou H , Tang A H , Jia W Q 
Published: August 2020

Abstract
With the frequent occurrence of typhoon disaster and the resulting large-scale power outage losses, the risk assessment of power system under typhoon damage has been widely concerned. In this paper, we summarize the research status of risk assessment of power system under typhoon damage. Firstly, we introduce several classical wind field model. Secondly, based on the static classical wind field model, we introduce the research progress of typhoon dynamic wind field model. By summarizing the existing risk assessment theory of typhoon disaster, it is divided into system level and component level. In the systematic risk assessment theory, it is further classified into the traditional risk assessment theory based on reliability principle and the new risk assessment theory based on toughness index. Finally, we make a conclusion and outlook on the research of the topic.
Fuzzy control strategy of interconnected power grid AGC system based on particle swarm optimization
Authors: Wang Zaiying , Tao Jiang 
Published: August 2020

Abstract
Frequency is one of the key indicators of power quality. The power load is constantly changing and has uncontrollability. The change of load will affect the frequency of the system. The power system always hopes to keep the frequency as constant as possible, which leads to the problem of frequency control. The mechanism modeling of the multi-region interconnected power grid system is carried out, and the frequency response of the networked system is analyzed by building a simulation platform. Aiming at the shortcomings of “AGC controller” using fuzzy PID control, according to the particle swarm optimization algorithm, a fuzzy adaptive PID controller based on particle swarm algorithm is designed. The simulation results show that the fuzzy adaptive PID controller based on particle swarm algorithm can better improve the dynamic performance of the system.
Noise Analysis and Compensation Strategy of Photoelectric Detection Circuit
Authors: Qin Jiaqiong , Cui Shaobo , Dai Jun 
Published: August 2020

Abstract
A photoelectric detection circuit was designed for improving the accuracy of photoelectric detection and reducing the system error. On the basis of analyzing the noise of the photoelectric detection circuit, the error compensation was proceeded on photoelectric detection circuit using lookup method, linear interpolation method, surface fitting method and adaptive neuro-fuzzy inference method, and the effects of the major error compensation method were compared. The measured data of photoelectric diode experimental platform was used as the sample data. The simulation results in the MATLAB environment demonstrate that under the same condition, the adaptive neuro-fuzzy inference method (ANFIS) can improve the detecting accuracy, and is more effective than lookup method, linear interpolation method, and surface fitting method.
Robust optimization for optimal day-ahead economic dispatch of CCHP considering wind-load uncertainty
Authors: Gu Xiangwen , Chen Xianbang , Liu Yang 
Published: August 2020

Abstract
Distributed wind power generators (WPGs) have been increasingly deployed into power system through combined cooling, heat, and power (CCHP) system. However, uncertain load and intermittent wind power generation adversely affect the economy of the system operation. In order to improve the economy of the CCHP operation, this paper presents a two-stage robust optimization model for the CCHP day-ahead (DA) economic dispatch considering the uncertainties of wind power generation and electric load demand. The model aims at minimizing the total operation cost. The day-ahead first stage is to decide the state and base generation of controllable generators that can withstand the worst-case scenario of the uncertainty while the real-time (RT) second stage is to adjust the generation of the generators according to the actual scenario of the uncertainty. To solve the model, duality theory, Big-M method, and column-and-constraint generation (C&CG) decomposition approach are employed to convert the model into tractable master problem and sub problem, so that a column-and-constraint generation iteration algorithm can be applied to figure out the optimal dispatch solution. Finally, experimental results reveal the effectiveness of the presented model and the employed method.
Analysis of Interior Color Design Based on Computer Virtual Technology
Authors: Xue Shengyan 
Published: August 2020

Abstract
With the development of the times, computer virtual technology has become more and more popular. Computer virtual technology, which has been widely used in many fields, has also contributed to the development of interior color design. Interior design is a highly specialized subject, which often requires designers to spend a lot of energy and time in the process of interior design. Based on this, this paper analyzes the application of computer virtual technology in interior design industry, expounds the application mode of computer virtual technology in interior color design from many aspects, and the influence of computer information technology on interior color design, so as to provide reference for relevant people.
Discussion and Analysis of Computer Information Data Security and Encryption Technology
Authors: Hao Rong Bin 
Published: August 2020

Abstract
With the continuous development of science and technology, Internet technology has become more and more mature, and the advantages of actual information technology have gradually emerged. In the development of such technologies, it can also provide new opportunities for the promotion of computer network technology. This article summarizes the security threats of computer information data based on previous work experience, and discusses the application form of encryption technology in computer information data includes seven aspects: data encryption technology, key management encryption technology, confirmation encryption technology, storage encryption technology, transmission encryption technology, message digest technology, and integrity authentication technology.
Statistical Dependence Test with Hilbert-Schmidt Independence Criterion
Authors: Tian Xinle , He Jiapeng , Shi Yueming 
Published: August 2020

Abstract
This paper studies an approach of nonlinear independence test between random variables. The method is Hilbert–Schmidt independence criterion (HSIC), one of the popular kernel methods for testing statistical dependence between random variables. There are several advantages of using HSIC method. It is easier compared with other kernel methods like the canonical correlation, because it requires no extra regularization terms for an appropriate finite sample behavior. Also, the learning rates of HSIC method is faster because there exists a well-defined population quantity in the estimate. The paper studies the detailed concepts and criterion associated with HSIC, its p-value and sensitivity maps. Results in the experiment about the wine data from UCI data set show the good performance of the approach.
Type Prediction of Student’s Achievement based on Grey Neural Network Optimized by GA
Authors: Wang Jian , Zhang Yuanyuan 
Published: August 2020

AbstractStudents’ learning performance is predicted based on their online learning data, which is of great significance to evaluate the learning effect of school education and the reform and development of online education. In this paper, the characteristics of learning behaviour that constitute the influencing factors of students’ achievement are analysed and screened, and then a prediction model based on neural network and intelligent optimization algorithm is proposed. In this paper, the working principle of grey neural network (GNN) is described, the genetic algorithm (GA) is used to optimize the parameters, and the performance of the model is tested by simulation experiment. The experimental results show that, compared with the reference model, the prediction model optimized by GA parameters shows good prediction performance, and the prediction accuracy remains at a high level.
Iterative Learning Control for Singular Network Control System with Time-Delay and Data Dropout
Authors: Li Zu-Song , He Fu-Gui , Li Shi-Rong 
Published: August 2020

Abstract
Since the object becomes more and more complicated and the existed data dropout and network-introduced time-delay are random and varying in network control system (NCS), the traditional control method is more and more difficult to obtain a good control effect. In this paper, the iterative learning control (ILC) issue for a class of linear continuous singular network control system (SNCS) with time-delay and data dropout is investigated. According to the λ norm and expectation algorithm, the convergence condition of the system is derived. At last, simulation example shows the effectiveness and superiority of the presented method.
Research on Sensor Differential Measurement with Transmission Line Vibration Detection System
Authors: Guo Ji-Yuan , Zhang Fu-Sheng , Liu Xuefei , An Jia-Kun , Zhao Yang 
Published: August 2020

Abstract
In this paper, the transmission line system is used as a model to detect the vibration of the transmission line ground wire. The circuit and transmission characteristics of sensor differential method are discussed in detail. The application of sensor differential method in transmission line vibration detection system is analyzed in time and frequency domain. The experimental results show that sensor differential mode is greatly improved than single sensor on sensitivity, linearity and frequency characteristics in vibration measurement of transmission line.
Graphic User Interface Development of a Digital Phased Array Radar System
Authors: Jia Zhen 
Published: August 2020

Abstract
A graphical user interface (GUI) of a digital phased array radar system is developed to detect and reveal the supposed multi-targets. As the core of the digital radar system, the radar signal generation environment aims at producing a radar echo signal, which is achieved by superposing the simulated radar transmission signals, clutter, jamming signals and radar internal noise linearly; And the radar signal processing environment focuses on processing the radar echo signal to measure multi-target range and velocity information, by employing pulse compression (PC), moving target indication (MTI), moving target detection (MTD) and constant false alarm rate (CFAR) technologies. Every module of the core can be exhibited in the form of MATLAB GUI. In addition, an integrated GUI of the digital phased array radar system is constructed to offer all the multi-target detection and display functions.
New Multi-expert System Based on LSSVM and FI
Authors: Xiong Xiaolong 
Published: August 2020

Abstract
In order to make a diagnosis and obviate the fault more effectively, when complicated mechanical system goes wrong, combining the characteristics of support vector machine, fuzzy integral and expert system, this paper puts forward the integral structure and diagnosis model of multi-expert system based on LSSVM and FI. The model synthesizes the advantages of each algorithm. This method overcomes the insufficiency of traditional expert system such as lack of the mechanism of effective self-study and self-adapt, be difficult to resolve the nonlinear system fault problems. Therefore, it is a convenient way to resolve the multi-sign and multi-reason fault problems of complicated mechanical system.
The Logical Hierarchy of Software Protection Requirements in IR46
Authors: Fan Xuezhong , Li Congcong 
Published: August 2020

Abstract
The updated version of OIML recommendation “Active Electrical Energy Meters” (IR46) requires protection of metrological properties, it provides a new idea for the development of new type watt-hour meter. These requirements are mainly focused on software protection, because for modern static electricity meters, software is the key part for processing and storing legal metrological data. According to the logical relationship between these requirements, this paper analyzes them to form a logical level. The validation methods are analyzed at the same time, which shows the feasibility and the necessity of new generation smart meter.
Switch Migration in SD-IoT Networks for Urban Sensing
Authors: Li Yabo , Jiang Lifen , Zhu Jinqi , Cao Ke 
Published: August 2020

Abstract
Large scale software-defined IoT (SD-IoT) networking need to deploy multiple controllers. How to ensure load balancing among multiple controllers is important to network performance. This paper proposes a switch migration strategy (MMM) which aims to minimize the global migration cost in SD-IoT networks. MMM not only considers the migration cost when making a migration decision, but also takes both the load of the overloaded domain and other domains after migration into consideration when selecting a switch for migration. Simulation experiments prove the effectiveness of the proposed scheme.
Real-time Visual Tracking Based on Convolutional Neural Networks
Authors: Li Rui , Lian Jirong 
Published: August 2020

Abstract
Traditional target tracking is based on target detection. When the target changes significantly, such as occlusion, scale change, the update of the tracking model will waste a lot of space and time resources, resulting in a very slow tracking speed, which cannot meet the actual engineering needs. In view of the above situation, an end-to-end tracking strategy is proposed, which is simpler and faster than the existing technology. The proposed tracker only needs to detect the first frame image and use it as the input of the model, and set the multi-task loss function to predict the position of the next frame of the target and the size of the bounding box. This paper constructs a lightweight network architecture with an additional selection mechanism to avoid wasting resources for global search and matching. Through experiments, good results can be achieved on the standard data set, and tracking speeds close to one hundred frames per second are achieved, which is very competitive with existing advanced trackers.
Treatment of abnormal vibration at the end of large air-cooled generator --The reference of operation and maintenance fault diagnosis of new type phase modifier
Authors: Feng Jianbao , Li Chengzhi , Liu Quan , Ji Peng , Xia Chao , Hu Jianyong , Shen Yongjun , Ma Xiaoguang 
Published: August 2020

Abstract
This paper introduces the abnormal natural frequency at the end of a large-scale air-cooled generator in a power generation company, analyzes the abnormal vibration frequency data at the end of the generator, and solves them successfully, which provides a reference for the state analysis of new high power phase modifier.
Transient flow analysis for multi-state automotive scroll compressors
Authors: Yu Yao , Wang Xiumei 
Published: August 2020

Abstract
Due to the merit of high efficiency, low noise and vibration, scroll compressor has been rapidly developed in recent years. The working process of a scroll compressor is a three-dimensional non-constant compressible viscous flow process. In order to optimize the compressor design for better performance, it is necessary to understand and reveal the detailed mechanism of the unsteady flow inside a scroll compressor. In this paper, a three-dimensional flow-field model of scroll compressor is established. Non-stationary transient simulation of the flow field is carried out by using a combination of dynamic grid and User-Defined-Files. The distribution of temperature, pressure and velocity within the flow field of the work gas under different operating conditions were obtained. In this paper, the flow phenomenon of gas reflux at the suction and discharge ports and its effect on the performance of the scroll compressor was analysed.
The Text modeling method of Tibetan text combining Word2vec and improved TF-IDF
Authors: Tao Jiang , Jia Li , Wan Ma Cao , Meng Jia Hao 
Published: August 2020

Abstract
In view of the problem of ignoring the importance of words in Tibetan text representation, this paper proposes a Tibetan text representation method combining Word2ve and improved TF-IDF. First of all, the method uses the Word2vec model to train all the word vectors of the text, which can capture the semantic information of the text. Secondly, the improved TF-IDF algorithm is used to calculate the weight of each word and word vector in the text. Fusion of Word2vec and improved TF-IDF algorithm to construct a Tibetan text vector representation model based on word vectors and weights. Finally, it uses the BiLSTM neural network model classifier to effectively classify the Tibetan text. The experimental results show that this method is better than the traditional method in the classification of Tibetan text, which verifies the effectiveness of the method.
Study on Quality Influence of Hot Air Drying and Heat pump drying of Xiaocaoba Gastrodia elata
Authors: Cheng Bin , Tan Chao , Tang Xiuying , Chu Zheyu , Min Jiabao , Luo Yinghua 
Published: August 2020

Abstract
This paper takes fresh gastrodia elata of Xiaocaoba as the research object. After the samples are steamed, two processing methods which are hot air drying and heat pump drying are used respectively. The drying temperature is set at 50 degrees for both methods. The results show that different weight gastrodia elata is suitable for different drying methods. The gastrodia elata of 70-105 grams is suitable dried by the hot air drying, while the gastrodia elata of 105-140 grams is better dried by the hot pump drying. The two drying methods had no effect on polysaccharides of samples.
The Cutting Force Simulation of 30CrMnSiA Based on AdvantEdge 2D Broaching
Authors: Hu Zheng , Zhang Wanhao , Li Xin , Gao Hanjun 
Published: August 2020

Abstract
30CrMnSiA alloy steel is a kind of medium carbon quenched and tempered structural steel commonly used in machinery manufacturing industry, which has superior comprehensive mechanical and technological properties. In view of the great difficulty in solving the cutting process of metal by analytical method, this paper simulates the broaching process of 30CrMnSiA by using AdvantEdge software, and studies the influence of cutting parameters, tool geometry parameters, heat exchange coefficient of coolant and other factors on the cutting force. The results show that the cutting force increases with the increase of cutting width, cutting thickness, friction coefficient between tool and chip, and cutting edge radius, while decreases with the increase of relief angle. The cutting force decreases slightly with increasing of rake angle, and it almost does not change with the increase of cutting speed, coating thickness and the heat exchange coefficient of coolant.
Motion Characteristics Analysis of Circulating Roller Screw Pair
Authors: Meng Li Jun , Meng Dongrong 
Published: August 2020

Abstract
With the increasing demand for large thrust and small volume mechanism that converts rotary motion into linear motion, the application of roller screw pair has gradually increased. In order to study the characteristics of the circulating roller screw pair, and solve the common problems in engineering design and manufacturing, this paper has conducted theoretical analysis and research on the working principle, motion characteristics and geometric relations of the circular roller screw. The equation of the motion relationship of the circulating roller screw is derived, and the relationship between the lead formulae and the structural parameters of the cyclic roller screw is given.
The improvement of model predictive control based on three-level three phase inverter
Authors: Liu Feng , Dai Jun 
Published: August 2020

Abstract
To improve the dynamic response of the inverter, the conventional proportional-integral controller and the modulation part are substituted by the finite-control step model predictive control (FCS-MPC) strategy. Unlike the two-level inverter, the drifted neutral point potential is the issue that cannot be neglected. To resolve this issue, the cost function is modified in this paper. Besides, as all of the voltage vectors are employed during optimal research progress in FCS-MPC, the switching frequency is variable, which burdens the filter. The complex calculation progress also burdens the microcontroller. According to the conventional modulation algorithm, the voltage vectors are divided into several groups and the optimal calculations are simplified with them. Based on that modification, the switching frequency is fixed. Finally, the simulation and the experimental results are demonstrated, they reveal the validity and the merits of the proposed algorithm.
Non-arc and non-interruption control scheme of phase commutation switch based on diode natural commutation
Authors: Li HongTao , Hao Liang , Tang XianWu 
Published: August 2020

Abstract
It is an effective way to balance three-phase loads by installing phase commutation switch(PCS) to automatically transfer single-phase load from heavy load phase to light load phase. A PCS with the circuit topology based on diode natural commutation is introduced. This PCS uses latching relay as switch element. The PCS control principle is studied under the ideal condition of three-phase voltage symmetry and pure resistance load. The influence of the load characteristics of the actual single-phase user and the three-phase voltage asymmetry on the PCS control is analyzed. Considering that the latching relay is not an ideal switch, the action parameters of the latching relay are tested. According to the actual situation of single-phase users and the batch test results of latching relays, a practical non-arc and non-interruption control scheme of the PCS is proposed. The control scheme is tested on a developed prototype of the PCS.