bluuebunny/crossref_metadata_2025 huggingface dataset:
Research on NOx Emission Characteristics of Off-Road Diesel Machinery Based on Remote Monitoring Technology
Authors: Wang Jiguang , Bai Zhenyu , Xie Zhenkai , Zhang Xiaowen
Published: July 2020

In order to study and analyze the operating characteristics and NOx emission characteristics of typical non-road diesel machinery under actual operating conditions, this paper takes Excavators, Loader s and Forklifts operating at construction sites as objects, the On-board Emission Test Device (OETD in short) integrating Temperature Sensors, NOx sensors, GPS and GPRS is conducted to carry out experimental tests, and a Monitoring Platform Communicating with OETD by GPRS is uesd to collect the real-time data of the machinery’s geographical location, exhaust temperature and NOx concentration. The study result shows that the Excavator and Loader in the construction site are in long-term operating conditions and the average operating time is long; during the actual operating, the NOx emission concentration of the Loader is high and the range is large, mainly concentrated at 500 ∼ 900ppm, while the NOx of Excavators and Forklifts The emission concentration is relatively low, at 400 ∼ 450ppm.
Optimization of Coordination of Feeder Section and Connection of Operating Distribution Network
Authors: Liu Jun , Du Jian , Xu Chongyou , Lu Yiming , Li Yunshuo
Published: July 2020

The relation between section and connection of feeder of operating distribution network is researched. The method of an improved optimization algorithm is proposed to solve the problem of coordination of feeder section and connection under the operating constraint conditions. In the optimization process, in addition to the basic goals of load balance, number of the loads and total length of line segments in the feeder, other factors such as feeder specific structure, influence of tie switches and important customers are also considered. The optimal result is finally given as new locations of section switches and tie switches to realize the optimal operation of distribution network. The result is also used to guide the installation of distribution automation terminal devices and propose the self-healing strategy of distribution automation system.
Historical Opportunity and Structural Transformation of Sports Industry Development under the Background of New Information Technology
Authors: Deng Chenliang , Tang Zhaohua
Published: July 2020

Based on the analysis of the status quo of the development of sports industry, this paper studies the development opportunities and structural changes of sports industry under the background of new information technology. Objective to explore the development opportunities and structural transformation of sports industry under the background of new information technology, broaden the research field of sports industry, and provide references for the development planning or policy formulation of sports industry. According to this study, the current development status of sports industry is not optimistic, which is mainly reflected in the weak willingness of sports consumption, the shortage of sports venues and facilities, the lack of talents in sports industry, and the lack of in-depth integration with new information technology. Under the background of new information technology, the development opportunities of sports industry are mainly reflected in three aspects, that is, new information technology promotes sports industry to seize opportunities and expand markets, innovate the operation mode and operation mode of sports industry, and change the service platform and service system of sports industry. The structural transformation of the development of sports industry is reflected in the new competition system, new technology system, new consumption structure and new business trend. In the context of new information technology, it is necessary to analyze the opportunities and challenges faced by the sports industry more deeply, put forward more specific operational development countermeasures, and build a new sports industry development ecosystem and business model, in order to promote its sound development.
Cultivation Strategy of College Students’ Craftsman Spirit from the Perspective of Artificial Intelligence
Authors: Luo Qinglan , Wang Chunyan , Zhao Ying
Published: July 2020

With the continuous deepening of artificial intelligence in education informatization, the transformation of education methods and learning methods under various new technologies has great prospects for promoting the research and application of personalized and deep learning in the AI environment. This article mainly studies the cultivation strategy of college students’ craftsman spirit in the perspective of artificial intelligence. Based on the current situation of digital literacy, achievement gaps, and outdated knowledge, this article explores new methods suitable for the new environment, such as role change, innovative education, integration of multiple learning methods, and creation of new learning spaces. The further development of higher education in the context of artificial intelligence provides exploration and discovery to serve the future of students. The experimental analysis of this article found that the correlation coefficients of the factors of the scale were between 0.394 and 0.618, which were basically at a moderate level and basically met the requirements of 0.10 to 0.60. At the same time, the correlation between the factors and the total score of the questionnaire was between 0.724 and 0.833. Meet the requirements. The cultivation of craftsman spirit meets the needs of colleges and universities to cultivate new talents, and provides theoretical support for colleges and universities to carry out spiritual and cultural education.
Innovative Research on Smart Service System of Self-Driving Tour Based on 5G Technology
Authors: Wang Jing
Published: July 2020

With the advent of 5G commercial era, self-driving tour are supposed to greet new developing opportunities as a new-coming sightseeing method. Via combing the composition and existing problems of self-driving tour service system, to transform the traditional self-driving tour service system under the support of 5G technology is put forward. Regarding the self-driving information service as the core, the 5G technology is applied in order to build an information service cloud platform linking self-driving tour service system and self-driving tourists, as well as VR, AI, unmanned driving, intelligent search, intelligent positioning and other science and technology are utilized to the self-driving tour service system, which jointly structure self-driving tour smart service system, so as to satisfy the service needs of self-driving tourists and initiate the new chapter of self-driving development.
High-Speed Maglev Train Battery Design Considering of the Position of Assist Stop Areas
Authors: Tian Yi , Geng Shuheng , Hou Shengjie , Lyu Xinnan , Wang Suoping
Published: July 2020

With the increase of the operation speed in the high-speed maglev railway system, the distance between the assist stop areas can be increased. To ensure the safe operation between the two assist stop areas, the capacity of the onboard storage battery in maglev trains shall be redesigned. This paper derives the distance between the assist stop areas in different operation speed, which generate the speed curves for calculating the minimum battery capacity required for operation. We analysed the capacity requirements of the maglev battery at the different commercial operation and maintenance operation speed, as well as the impact of the battery capacity to the location design of the assist stop area, which can provide the guidance to the design of the onboard battery capacity in high-speed maglev train.
Implementation and Optimization of Particle Effects based on Unreal Engine 4
Authors: Zhang Juan
Published: July 2020

The wide application of virtual reality and augmented reality makes the engine of developing virtual reality develop towards more realistic rendering, more convenient operation and better performance. In the realization of virtual reality scene, the three-dimensional particle effects play an excellent performance, and enhance the immersion of the experiencer. However, the production and optimization of three-dimensional particle effects have always been a complicated task for developers. Based on the visual blueprint script of Unreal Engine 4 and the modular particle editor, the author elaborates the method of making particle effects in detail, calculates the cost of particle system in real time by using the console of Unreal Engine 4, and then analyses the reasons that affect the performance of particle effects according to the data. Three methods, GPU launcher, material instruction reduction and LOD application, are used to optimize the performance of particle effects, and data are used to show the results of optimization.
Spatiotemporal Analysis of Air Pollutant Concentrations in Major Transportation Hubs of Kunming : A Case Study of Dongfeng East Road Station
Authors: Wang Yifu , Yuan Lei
Published: July 2020

The rapid development of industrialization and the continuous acceleration of the urbanization process have continuously improved the quality of life of the people, but at the same time brought important environmental problems such as air pollution and climate change that humans have to face today. In this paper, the meteorological data of Dongfeng East Road Station in Kunming is taken as the research object, and the Spark platform is used to quickly and effectively analyze the air pollution data of Dongfeng East Road Station. Through analysis and research on the air pollution-related conditions of major transportation hubs in Kunming in recent years, the results show that the concentration of air pollutants at Dongfeng East Road Station in Kunming has a relatively obvious downward trend, especially the significant decline in SO2 and CO. As far as air quality is concerned, the air quality in some areas of Kunming continues to improve.
Test and Analysis of Characteristics of Safe Driving Speed on Typical Ice-snow Road
Authors: Meng Enjie , Wang Bing , Wei Ji’ao , Liu Haoran , Zhao Kuo , Hu Ze
Published: July 2020

When a motor vehicle driver encounters ice-snow road on low-grade road, it is easy to cause traffic incidents or even accidents because it is difficult to autonomously control the safe speed, which is a hot and difficult problem in the cold areas of northern China; At present, there is little research on the characteristics of safe driving speed on different types of ice-snow roads at home and abroad. In this paper, six types of typical ice-snow roads, such as fresh snow, snowboards, semi-melted snowboards, ice boards, semi-melted snowboards, and “black ice” (snow-covered ice), were constructed to test the safe driving speed and its corresponding main factors, and the data was processed to explore the safe driving speed on different types of ice-snow roads and its relationship with the main influencing factors; this study has practical significance for guiding drivers to autonomously control safe vehicle speed on ice-snow road, and also provides reference for the development of intelligent transportation technologies such as speed guidance, dynamic speed limit and autonomous driving.
Design Traffic Signal Node Based on Edge Computing
Authors: Yang Jinyan
Published: July 2020

With the development of economy, the traffic jams are more and more serious. The traditional timing traffic signal can’t make full use of the road traffic resources. In order to solve this problems, an edge computing intelligent traffic light node is proposed, video target detection, artificial intelligence and other new technologies are used to realize the effective control of intersection signals, so as to optimize pedestrian traffic, vehicle delay, traffic capacity and parking times. The simulation results show that this method can greatly improve the traffic efficiency and reduce the waiting time of the intersection during normal times. It can effectively delay the peak period and shorten the peak period.
Remote Sensing Dynamic Monitoring on the Land Destruction and Recovery of Green Mines
Authors: Yao Weiling , Yang Jinzhong , An Na , Li Li , Sun Yaqin , Chen Dong
Published: July 2020

The construction of green mine is the only way to promote ecological civilization and realize the harmonious development of man and nature. This paper introduces the methods and steps of using remote sensing technology to carry out dynamic monitoring on green mines, and summarizes the main monitoring elements of green mine environment, and analyse the status quo and dynamic changes of land destruction and recovery of green mines according to the monitoring results. On the whole, the land recovery rate of green mines is low in China, and the level of land recovery is uneven in different regions, mines and minerals. The result shows a tendency that the land occupation of green mines has changed from the extension of the land destruction in the early stage to the recovery of the stock mining land. The main recovery modes of green mine include prevention engineering, ecological protection engineering, functional restoration and reconstruction, land reclamation, soil restoration and so on. It is necessary to strengthen the application of radar data to monitor mining subsidence area and the application of hyperspectral data to enhance the monitoring of mine recovery effect.
Survey of Methods for Data-Scarce Processing Based on Mechanism Model
Authors: Wang Guobo , Ma Minglu , Xu Liansheng
Published: July 2020

Due to the imbalance in global economic development, the lack of response data is a prominent shortcoming in information concerning many river basins. The uncertainties incurred by data scarcity reduce the reliability of the simulation results of river basins and pose difficulties in the simulation of non-point source pollution and maritime search and rescue, which in turn affects the environment of the basin. Based on a simulation conducted using the mechanism model in the context of a lack of response data from rivers, this paper analyses a variety of methods of data processing in case of missing data. In the era of big data, this paper provides a variety means of using data-scarce simulation methods as an effective reference for simulations of water quality.
Applied Research of Internet of Things Technology in Agricultural Greenhouse
Authors: Wang Shuanghu , Yin Hongxu , Zhang Wei , Zhao Jingtao , Liang Shun
Published: July 2020

The application of the Internet of Things technology to agricultural electrification production, especially agricultural greenhouse cultivation, can greatly improve the quality of agricultural products. This article summarizes the application technology of the Internet of Things technology in five aspects of agricultural greenhouse insulation, electric rolling shutters, electric drainage and irrigation, electric supplementary light and electric ventilation. Deep integration with agricultural production to improve agricultural planting benefits.
Design and Implementation of Visualized and Rule Based Integrated Primary Equipment Overhaul Management System Build on Dcloud
Authors: Wang Yuesong , Gu Yeqing , Shi Jianhua
Published: July 2020

The systems are deployed at all levels of dispatching organizations which are connected by microservices. In this paper we introduced unified equipment model to achieve show overhaul plans on geographic information system map. Balancing and scheduling overhaul plans by build a rule based expert library. Information exchange and workflow pushing achieved by introducing data exchange service and workflow pushing service which registered on service bus provide by Dcloud, with help of the service the information could be shared among all levels of dispatching organizations, the workflow could be ran more smoothly. The system also provides a collaboration planning platform which is used for make the processing of workflow more efficient. This system is a powerful technique support for continuous protection of the safe operation of the power grid.
A Ship Draft Line Detection Method Based on Image Processing and Deep Learning
Authors: Wang Zhong , Shi Peibei , Wu Chao
Published: July 2020

The traditional ship draft detection method mainly adopts the method of the human eye observation, which has the problems of large precision error and slow detection speed. Aiming at this problem, this paper proposes a ship draft line detection method based on image processing and deep learning. The color image is first transformed into a grayscale image, and the corner detection is carried out by Harris operator. Contour map is obtained using Canny operator for edge detection, and line segment detection is performed using Hough algorithm. The water surface is determined by calculating the lowest position of the corner point. Then the grayscale image is binarized to increase the contrast of the image, the digital area is determined by the corner positions of the highest and lowest points, and finally the convolutional neural network is used to perform character recognition and calculate the draft of the ship. Tested on videos of various scenes, the error of the proposed method is less than 1cm.
A Study of Community Surveillance System Improvement based on ResNet Person Re-identification
Authors: Gu Xinyi , Qu Chengzhang
Published: July 2020

Most existing community surveillance systems rely on face recognition to identify pedestrian. The face image captured by community surveillance camera are not always clear enough. Thus, Person re-identification (ReID) imply critical applications in surveillance as it has more image information of pedestrian. In this paper, we refine a ResNet50 based reID model which only adds a Linear layer, a Batch Norm layer and a reLU layer in front of the classifier. The refined model is simple to build on the surveillance system, and we have tested in our demo surveillance system and Market1501 data-set. The experiment result shows it can work well on real-time. On Market1501, our results are competitive that rank-1=0.875000, rank-5=0.944477, and mAP=0.706647 since its low complexity. Our demo community surveillance system shows the refined ReID model is competent and practical for identification tasks.
An Online Calibration and Detection Method for Inertial Equipment on Aircraft
Authors: Song W Y , Wu X H , Wang J , Sun Y G , Fang Y
Published: July 2020

At present, the calibration and detection for inertial equipment on aircraft generally need to disassemble the inertial equipment from the aircraft, and it is inconvenient to use this method to maintain the inertial equipment. An online calibration and detection method is proposed in the paper, which is able to obtain the detection indexes by combining the vertical and rotary motion of the launching vehicle. The indexes contain the zero drift indexes, the scale factor nonlinear indexes and the attitude angle error indexes of the gyro and accelerometer. By judging if these indexes are within the threshold range of requirements, we can determine whether the inertial equipment perform well. Using the designed limit index as the calibration parameter, the simulation experiment of shooting is carried out to verify the effectiveness of the designed method. The simulation results show that the miss distance meets the design requirements within the limit index range. The designed algorithm can directly detect the inertial equipment online, avoiding the repeated disassembly and assembly problems caused by the traditional detection methods, and reducing the test and maintenance costs.
SLAM System Based on Tightly Coupled Visual-inertial
Authors: Chen Zhang , Mei Wang , Yunlei Yu , Yongyun Gao
Published: July 2020

Aiming at the problem of mobile robot positioning, IMU information is used to improve the performance of visual SLAM. Firstly, instead of the calculation of feature descriptor, LK optical flow is used in the processing of visual information, to increase the speed of feature extraction. And detectors are used to remove outliers. Secondly, the visual information and IMU information are initialized separately to obtain the camera pose and IMU pose. And then Visual-inertia joint initialization is conducted by tightly coupling of the IMU information and the visual information, to improve the calculation. Finally, the pose state estimation is achieved through back-end optimization. The validity of the proposed algorithm is verified by the experiments.
Research on Chinese Sentence Compression Automatic Evaluation Method based on Sentence Hierarchical Information Extraction
Authors: Wang ZhongXian , Du WenShuang , Ren JiaLu
Published: July 2020

People often feel incomprehensible and difficult to understand in the face of huge amounts of information. They instinctively produce the natural need to condense information to save time. Sentence compression technology has been born. The research on sentence compression evaluation methods has developed with the rise of sentence compression technology, and has gradually become a hot issue for sentence compression tasks. The method of sentence compression evaluation is to judge a good or bad cornerstone of compression results. influences. Under the current practical background, the performance evaluation of sentence compression mainly includes two methods: manual evaluation and automatic evaluation. The main problems encountered are: First, most of the research work uses manual evaluation indicators. The compression results under manual evaluation have high accuracy and meet the requirements. People’s daily language habits have the disadvantages of inflexibility and poor reusability. Second, there are few automatic evaluation methods for Chinese sentences, and the existing traditional automatic evaluation methods only consider the morphological similarity between the compressed sentence and the original sentence, and cannot well represent the compression effect. Based on the above practical problems, this paper proposes an automatic evaluation method for Chinese sentence compression based on sentence hierarchical information extraction. Compared with the manual evaluation method and the traditional automatic evaluation method, the Chinese sentence compression automatic evaluation method based on sentence hierarchical information extraction overcomes the disadvantages of high manual evaluation cost and low reusability. It uses the similarity of sentence hierarchical information to diversify. Ground characterization and evaluation of compression effects have significantly improved the rationality and accuracy of traditional automatic evaluation methods Introduction.
A Rapid Recognition Method for Rice False Smut based on HOG Features and SVM Classification
Authors: S Naila , JJ Yu , N Yang , H Kashif , J Tang , AY Wang
Published: July 2020

A rapid detection method for the detection of false smut is introduced based on HOG features and SVM classification to overcome the drawbacks of false smut detection like time wasting and inaccurate recognition. In this paper, original images of false smut used, which directly taken from the field of rice. First of all, the image false smut diseased rice acquired by image preprocessing was based on the color threshold to obtain the (ROI) region of interest from healthy and unhealthy pictures of rice. Secondly, the gamma-correction performed on the extracted ROI unhealthy and background region of healthy rice images. The HOG features extracted to form a high-dimensional HOG feature vector. Third, the PCA analysis performed on high-dimensional HOG features, and the original 1764-dimensional feature vector reduced to a two-dimensional vector that can represent most vectors to achieve the purpose of dimension reduction. Finally, the dimension-reduced HOG feature vector sent to the SVM classifier for training. The expected recognition accuracy under the binomial kernel function is 80.6%, and the actual test set recognition is 78.56%.
A Novel Sudden Fault Prediction Method Based on Hierarchical Structure with GRU Neural Network for X-ray High-voltage Power Supply
Authors: Zhang Jianlong , Li Qiao , Wang Bin , Cui Mengying
Published: July 2020

Considering the sudden fault feature of X-ray high-voltage power supply are mostly reflected in the high-frequency components, a hierarchical structure with time sequential neural network is proposed to predict sudden fault of X-ray high-voltage power supply in this paper. Gate recurrent unit is the basic unit of time sequential neural network. Firstly, multi-wavelet transform is used to decompose the signal of the X-ray high-voltage power signal to obtain the coefficients of each frequency band. Secondly, signal waveform reconstructed for each layer of wavelet coefficients is as the input of the gate recurrent unit network to predict signals at different frequencies. Finally, each gate recurrent unit performs multi-step prediction on the reconstructed waveform in this frequency band for sudden fault and all band prediction outputs are composed to obtain the final prediction results. The simulation experiment shows that our method has better performance than the Kalman filter, recurrent neural network and long-short term memory prediction methods, and can accurately predict sudden fault of X-ray high-voltage power supplies.
Research on Plant Leaf Disease Identification Based on Transfer Learning Algorithm
Authors: Jiang Han , Xue Zhi Peng , Guo Yan
Published: July 2020

Plant disease is one of the important threat factors that hinder the normal growth and development of plants. The intelligent identification of plant disease species has become increasingly important in the agricultural field. In This paper, the open-source data set including Black rot, bacterial spot, rust, and healthy leaves are used to train the ResNet model. And the transfer learning algorithm is applied on ResNet to establish a plant disease recognition model with good versatility and high training efficiency. The experiment results show that the disease identification accuracy of the transfer learning model is 83.75%, which is much higher than that of the traditional ResNet-101 model. Therefore, the plant disease recognition model based on transfer learning algorithm is highly feasible.
A Decision-making Method for Self-driving Based on Deep Reinforcement Learning
Authors: Ke Pang , Yanxin Zhang , Chenkun Yin
Published: July 2020

L5-level autonomous driving is the development trend of the future in the automotive industry, and the realization of autonomous driving through deep reinforcement learning algorithms are one of the research directions. Soft Actor-Critic the algorithm adds the maximum entropy term to the original deep reinforcement learning the objective function, and it shows great advantages in continuous control problems. Here, based on the open-source platform TORCS, this algorithm will be used to conduct automatic driving simulation experiments, design a reasonable reward function, add relevant constraints, use vehicle radar sensor information to make automatic driving decisions, and compare experiments with the Deep Deterministic Policy Gradient Algorithm. SAC can effectively extend training time, improve stability, and improve generalization ability.
Desensitization and Cleaning Technology of CT Image of Parotid Tumor based on DICOM
Authors: Yuan Jiantin , Zhang Wenqiang , Wu Wei , Lv Xiaoyi , Bai Xue , Chen Chen , Hong Yue
Published: July 2020

CT image data are widely used in model training and data mining in the fields of medical image processing and medical big data analysis. Sensitive information on the data set needs to be desensitized before use. Traditional CT image data desensitization often wipe Remove most of the patient’s identification information. The data has not been cleaned, and the quality and analytical value of the data can’t be guaranteed after desensitization. In order to solve the privacy protection and data quality problems of DICOM-based image datasets during use, this paper uses symmetric encryption, numerical transformation and invalidation desensitization strategies to desensitize CT images of parotid tumor CT images based on DICOM. The desensitized encrypted data are decrypted to determine the true identity of the patient for data cleaning. Data cleaning is performed on the desensitized and decrypted data according to the formulated process. While meeting the desensitization standard to protect the privacy and safety of patients, the method of this paper greatly guarantees the quality, statistical characteristics and analytical value of the desensitized data set, and provide a feasible solution to the safe use and quality control of CT image data sets in the future.
Open Information Extraction for Waste Incineration NIMBY based on Bert Network in China
Authors: Xinwei Wang , Hui Zhou
Published: July 2020

Unstructured data makes it difficult to build the emergency knowledge base. Information extraction can help people get structured information faster and more accurately. In this paper, a method of information extraction based on Bert neural network is proposed, which can extract information from the Chinese open text of Waste Incineration NIMBY. It provides a scientific scheme for the construction of a structured knowledge base of Waste Incineration NIMBY, so as to provide auxiliary decision-making for solving the conflict of Waste Incineration NIMBY. Experiments show that the precision rate, recall rate and F-value of the information extraction can reach 91% by using the Bert network, which basically meets the requirements of building a structured knowledge base of Waste Incineration NIMBY.
A Neural Network based Frequency-domain Design Method for the Optimal Fractional Order PI
λ
D
μ
Controller
Authors: Zheng Weijia , Luo Ying , Chen YangQuan
Published: July 2020

A neural network (NN) based frequency-domain design method for the optimal PI
λ
D
μ
controller is proposed in this paper, dividing the tuning process of the PI
λ
D
μ
controller into two steps: the fractional orders of the controller are estimated by the NN based estimation models, and other controller parameters are calculated analytically using a modified frequency-domain method. A practical application of the proposed method on the permanent magnet synchronous motor (PMSM) speed control problem is studied. Motor speed control simulation is performed to verify the gain robustness, step response performance and anti-load disturbance performance of the obtained control system. Comparison with the typical frequency-domain method is performed and then the advantage of the proposed method is demonstrated.
Constraint Handling Methods for Resource-Constrained Robotic Disassembly Line Balancing Problem
Authors: Fang Yilin , Xu Hongliang
Published: July 2020

In this paper, we analysed a resource-constrained robotic disassembly line balancing problem (RCDLBP), which was significantly different from traditional DLBP for the robots will consume a certain amount units of resources when performing disassembly tasks. These resources could be some scarce disassembly tools or the oil and electricity to support the normal work of robots. A mathematical model of RCDLBP which considering an additional resource constraint and simultaneously minimizes the cycle time and the number of robots used was proposed in this research. Based on the mathematical model and three constraint handling methods which integrated with multi-objective evolutionary algorithm based on decomposition (MOEA/D), we performed experiments on 16 test cases. The initial population feasible ratio of all test instances ranges from 99.99% to 0.34%. Results show that as the initial population feasible ratio gradually decreases, the search capabilities of different constraint handling methods changed dramatically.
Research on Capability Optimization of High Maneuvering Combat Force Based on Mission Completion Quality
Authors: Liu Qian , Lu Yunjun , Zhang Bin , Jin Yiqiao
Published: July 2020

In order to optimize the capability of high maneuvering combat force, considering the non-measurability of capability, a capability optimization method based on mission completion quality is proposed in this paper. In this method, the capability optimization objective is replaced by the mission completion quality, and the quality is measured by the mission completion success rate and the mission completion cost. The optimal solution set which is the path with highest success rate and lowest cost is obtained based on the improved NSGA-II. In light of the cost value of each path in this solution set, the solution has various optimization directions. Based on the actual requirements of mission, decision maker can select one from optimal solution set. Thus, the capability of high maneuvering combat force is optimized.
Realization of MATLAB Model Callaborative Simulation in Hopsan Environment based on Hopsan Framework
Authors: Nanbo Xu
Published: July 2020

The design and simulation process of complex system is accelerated because of the general application of model-based system engineering method in industry. But new challenges arise along with it, such as joint simulation of multi-physical-domain models. Only by considering the coupling relationship among the physical domains, especially the Cyber-physical systems (CPS), can the simulation result be more consistent with the actual system so that can provide guidance for product design and manufacturing.

Heterogeneous model is the key to solve the problem of multi-physical-domain coupling simulation [1]. Using tools integration[2] and semantic integration[3] are two mainly ways. Although the literature points out that using tools integration is challenging, the advantages of open source software integration at the source level make it possible for Hopsan software to realize joint simulation of heterogeneous models. This paper describes how to inherit a new one from the component class of Hopsan to realize the functions of second encapsulation of MATLAB model in the current Hopsan environment, the block diagram representation in the simulation schematic diagram, model scheduling in the simulation process, data input, output processing and data transmission, etc.
Research on Flocculation and Sedimentation Characteristics of Extremely Fine Coal Slime Based on Computer PID Algorithm
Authors: Wang Aiqing
Published: July 2020

Coal slime water treatment is a very important process in coal preparation plant, its treatment effect directly affects the reuse of washing water and closed-circuit circulation index, and on the other links of coal preparation plant such as separation efficiency, the number of product quality index has a great impact, and even restricts the economic and social benefits of an important system. Based on improved grey prediction fuzzy control principle, an improved slurry flocculating settling process of feed forward and feedback control strategy, the improvement is: using fuzzy algorithm to replace the current use of conventional fuzzy control algorithm, namely according to the online setting parameters of fuzzy rules, both to overcome the difficult to eliminate the steady-state error and fuzzy control to realize accurate control weaknesses, and overcome the difficulty of parameter setting, make them form a complementary advantages. Therefore, it is of great significance to study advanced control method and improve control effect in coal preparation plant.
The Application Analysis of the French Horn in Chinese Symphony Based on Fusion Features by Computer Aided Technique
Authors: Lv Bin
Published: July 2020

With the further deepening of reform and opening up, China has gradually begun to study the horn. The horn, with its unique charm, integrates woodwind instruments with brass instruments and becomes a complete art. In this paper, the application of the French horn based on fusion features in Chinese symphonies is analyzed by computer aided technique. It further shows that the French horn plays an important role in Chinese symphonies.
Key Techniques of Tertiary Oil Recovery in Medium and Low Permeability Reservoirs Based on Computer Display Technology
Authors: Li DangYuan
Published: July 2020

Oil is a kind of non-renewable energy. Our demand for oil is on the increase. With the continuous exploitation of oil resources, China’s oil reserves gradually decrease. As a result, China imports a lot of crude oil every year. With the exploitation of oil, China’s large oil fields will gradually dry up, which requires China to develop medium and low permeability reservoirs. However, there are many difficulties in the development of medium and low permeability reservoirs, such as dense matrix, complex fracture system and low permeability, which will lead to low recovery. With the development of science and technology and the combination of computer technology, eor technology has gradually matured and can be used in low and medium permeability reservoirs. In this paper, the technology of eor is analyzed firstly. Then, according to the characteristics of low and medium permeability reservoirs shown by the computer, the fracturing, percolation, enhanced oil recovery technology and microbial oil displacement technology are analyzed to better develop low and medium permeability reservoirs.
Research on the Influence of Lifelong Sports Consciousness on College Students’ Happiness Based on Computer Mathematical Model
Authors: Zhang Fan , Hu Yingyue
Published: July 2020

Objective: To explore the changes of college students’ lifelong sports consciousness before and after community interaction by using computer technology. Method: Research object and content. Five hundred students from three colleges and universities in Fujian Province were selected as the objects of investigation. 512 questionnaires were sent out and 500 were collected. T-check and Pearson check use computer technology to comprehensively analyze the collected data. Result: With the development of interactive sports activities between colleges and communities, the sports mode and consumption structure of college students have undergone profound changes. Conclusion: Community interaction is of positive significance to the cultivation of College Students’ lifelong sports consciousness.
The Theoretical Framework Based on Network and the Research of “Three Parts Method” of Accounting Information Distortion in Digital Processing
Authors: Zhao Feng
Published: July 2020

The distortion of accounting information is an international problem. It is also a historical legacy. It is an important problem that all countries in the world need to study and solve at present. As an accountant, we should pay attention to this problem and try our best to solve it. According to the reason of accounting information distortion, this paper puts forward the method of accounting information distortion by three parts. It divides the distortion of accounting information into regular distortion, illegal distortion and behavioral distortion. This paper analyzes the different reasons of three ways of information distortion from the perspectives of accounting domain order, information asymmetry and human finiteness. This paper discusses the relationship among the three ways of distortion and puts forward the corresponding countermeasures.
Logic Writing of Chinese Declarative Sentences Relying on Marked Verb Matching Lambek Checking Algorithm
Authors: Wang Fengying
Published: July 2020

Natural language processing is an emerging discipline and a rapidly developing discipline. The development of natural language processing technology is full of opportunities and challenges, difficulties and frustrations. The establishment of various models and the proposal of various methods have brought vitality to natural language processing; although current systems such as machine translation and speech recognition are still in The immature stage, but the increasingly widespread application of natural language processing, proves its important position in the computer field and even the entire scientific and technological field. By using the marked verb matching Lambek check algorithm, I believe that in the near future, logical sentence writing and processing will have a brighter future.
Application of Computer Information Management Technology in Network Security
Authors: Shi Guoxing
Published: July 2020

With the continuous development of network information technology, people in our country use mobile phones, computers and other communication equipment will generate a lot of data information, companies want to use this information, they must manage this information. The most commonly used information management technology is computer information management technology, which can not only learn to store information effectively but also analyze information in many ways. Through analysis of the characteristics and development status of computer information management technology, we put forward plans to continuously improve the security of computer information management technology in the application of computer information management technology in information management.
Wafer Level Chip Packaging Technology Based on Computer Aided Technology
Authors: Qin Le , Li Hailin
Published: July 2020

Wafer level packaging technology, as an advanced packaging technology with high maturity and wide application, has been widely used in portable products such as mobile communication. This paper mainly introduces two kinds of wafer level chip scale package forms, fan in and fan out, introduces the whole process of fan-out wafer level package and finally looks into the future development trend of wafer level chip scale package technology.
A Feasibility Data Study on the Necessity of Ideological and Political Education in College English Courses Based on Computer Technology
Authors: Wu HaiXia , Li Yan , Dong Sisi
Published: July 2020

Under the background of economic globalization, social informatization and cultural diversity, ideological and political education in colleges and universities is facing new challenges. Ideological and political education in colleges and universities is not only the work of ideological and political teachers, but also the responsibility and obligation of all teachers and workers. The development of computer provides a breakthrough for its development. As a national college English course with many class hours, long class hours, wide coverage, strong faculty and high social concern, it should also shoulder the important task of ideological and political education in colleges and universities. The use of computer technology to carry out relevant data on molecules. On the basis of analyzing the feasibility of extending college English to ideological and political education, this paper puts forward the ideas, contents, methods and approaches of college English course innovation, so as to achieve the goal of curriculum coordination, whole-course education and comprehensive education.
RETRACTED: Research on the Development and Promotion Strategies of Diversified Professional Development Based on Computer Network Technology
Authors: Cao Haiying , Chi Yanqin
Published: July 2020

With the progress and development of the society, the society needs more computer network talents to adapt to the development of the society. However, due to the disadvantages of various aspects of development, the network computer talents trained by colleges and universities cannot meet the market demand, resulting in the employment difficulties of some students. The main reason is that many colleges and universities cannot meet the needs of society. At present, great changes have taken place in the general education model and discipline model of vocational education in China, and new attempts have been made to combine work with study, production with teaching in practice. The existing experience shows that school-enterprise cooperation is the only way for the reform and development of secondary vocational schools. However, with the rapid development of the social situation, the original simple school-enterprise cooperation model has shown its limitations. How to continue to give play to the great role of school-enterprise cooperation and deepen school-enterprise cooperation is the choice of many higher vocational colleges in China, and shows certain advantages. At present, great changes have taken place in the general education model and discipline model of vocational education in China, and new attempts have been made to combine work with study, production with teaching in practice. The existing experience shows that school-enterprise cooperation is the only way for the reform and development of secondary vocational schools. However, with the rapid development of the social situation, the original simple school-enterprise cooperation model has shown its limitations. How to continue to give play to the great role of school-enterprise cooperation and deepen school-enterprise cooperation is the choice of many higher vocational colleges in China, and shows certain advantages[1].
University Enterprise Innovation Cooperation Platform Construction Considering Computer Multi-dimensional Dynamic Innovation Mode
Authors: Liu HongWei
Published: July 2020

The construction of college students’ entrepreneurship and innovation model, through the construction of school-enterprise cooperation platform and other forms, has important practical significance for promoting college students’ employment, alleviating the pressure of social employment, and improving the enthusiasm and success rate of college students’ entrepreneurship and innovation. This paper first analyzes the mechanism of college students’ entrepreneurship and innovation based on computer multidimensional dynamic innovation model, then studies the importance of influencing factors of college students’ entrepreneurship and innovation, and finally gives the school enterprise cooperation platform construction strategy of entrepreneurship and innovation based on computer multidimensional dynamic innovation model.
Live Detection Technology of SF6 Equipment Based on Computer Aided Laser Imaging Technology
Authors: Tan Huayong
Published: July 2020

To overcome the limitations of traditional methods for detecting gas leakage for SF6 equipment, such as staff safety being endangered and poor reliability of power supply, this paper introduces the laser imaging technology for gas live detection of SF6 equipment. Through discussing an example of SF6 gas leakage detection, it is shown that the SF6 gas leakage detection method based on computer aided laser imaging technology can be long-distance live detection, and can determine the SF6 gas leakage point safely, quickly and efficiently[1]. It guarantees the safety of personnel, improves the efficiency of maintenance, reduces the time of power failure, and improves the reliability of power supply.
The Construction of College English Network Technique Platform Based on Computer Aided System
Authors: Lin Huizhen
Published: July 2020

With the progress of computer technology and the prosperity of information age, the society has higher and higher requirements for English learners. Due to the limitation of English standard, many university students’ employment problems become more serious. This situation poses a greater challenge to university English technique. What we should do to improve the efficiency of university students’ English instruction has become a major concern in academia. At present, the establishment of College English network online technique platform has improved the passion of university students to learn English. Researchers found that online technique platform can help students improve their English level. This paper carefully studies the establishment of College English online teaching terrace under the background of computer-aided system, and finally comes to a conclusion.