bluuebunny/crossref_metadata_2025_split huggingface dataset:
Design and Research of Ultrasonic Diagnostics Online Teaching Based on Blackboard
Authors: Liu Hui , Zhang Hui , Zhong Yi , Xin YaLan , Yang Han 
Published: June 2020

Abstract
With the continuous development of medical ultrasound diagnostics technology, ultrasound in obstetrics and gynecology has become an essential branch of ultrasound medical diagnostics, and increasing attention has been paid to the teaching of ultrasound in obstetrics and gynecology diagnostics. Based on the modern blackboard network platform and mobile video monitoring technology, a vivid and intuitive online course of ultrasound diagnostics in obstetrics and gynecology is established, which is conducive to implementing communications and interactions among students, teachers, and resources, improving the teaching quality and learning efficiency, and cultivating ultrasound diagnostics skills of medical students.
Expression and Clinical Significance of Computer-aided HIC-1 in Colon Cancer
Authors: Yuan Heng , Hu Zhenliang , Luo Wenqi , Liu Guanlan 
Published: June 2020

Abstract
Objective: To investigate the expression and clinical significance of HIC-1 in colon cancer. Methods: RT-PCR, immunohistochemistry, and computer image analysis were used to detect the expression levels of HIC-1 gene and protein in 200 patients with colon cancer and the corresponding paracancerous tissues to analyze the relationship between the expressions and clinicopathological characteristics as well as their correlation. Results: the expression of HIC-1 mRNA was up-regulated in the colon cancerous tissues of 141 patients (70.5%) and in the paracancerous tissues of 21 patients (10.5%) with colon cancer, and the difference was statistically significant (P = 0.001). The expression of HIC-1 mRNA was correlated with Dukes stage, lymph node metastasis, and differentiation degree. The up-regulated expression of HIC-1 mRNA in colon cancer and the corresponding paracancerous tissues were 104 (52.0%) and 121 (60.5%), respectively. The expression of HIC-1 mRNA was not correlated with any clinicopathological characteristics of colon cancer. The immunohistochemical staining intensity of HIC-1 in cancerous tissues was 1.79 ± 0.11, higher than that in paracancerous tissues (P = 0.002). The expression level of HIC-1 was correlated with Dukes stage and lymph node metastasis. The expression of HIC-1 in colon cancerous and paracancerous tissues was weaker than that of HIC-1, which was not correlated with clinicopathological characteristics. There was a negative correlation between the expression of computer-aided and HIC-1 in colon cancerous tissues (r = -0.63, P < 0.01). Conclusions: The expression of HIC-1 can promote the progression of colon cancer, and it may have an antagonistic effect.
RETRACTED: Application Research of Electrical Engineering Automation Based on Artificial Intelligence
Authors: Huang ZhiYing 
Published: June 2020

Abstract
As a derivative of computer technology and cloud technology, artificial intelligence technology can comprehensively improve social production efficiency. Electrical engineering has a direct connection with social production and people’s quality of life. How to strengthen the control of electrical automation is a key concern of all levels of society today. Based on this, analyze the advantages of applying artificial intelligence technology in electrical automation control starting with artificial intelligence, and then analyze the application strategy of artificial intelligence based on engineering examples.
Application of Graphic Design Based on Image Design Software
Authors: Wu Shan 
Published: June 2020

AbstractImage design software plays a crucial role in advertising design today. Currently, the advertising design industry has become a special industry form in the market economy. It has satisfied the needs of people for various types of advertising graphic design. In the link of commercial advertisement design, the operation design of the image is the most important, which directly affects whether the advertisement can attract people’s attention. Given the situation, this paper focuses on analyzing the application of Photoshop software to improve the level of advertising design continuously.
Integrated Development of Artificial Intelligence and Big Data, with Foreign Language Discipline
Authors: Xue JunJie 
Published: June 2020

Abstract
In the new era of rapid change and development, the connotation and denotation of foreign language discipline research is in constant deepening and expansion. Electronic traces, social media, digital texts, spatial location information, and other large-scale data have been extensively applied to the research of foreign language discipline. The new scene of modern foreign language discipline research is worthy of our attention and consideration.
Application Analysis of Artificial Intelligence in Oral English Assessment
Authors: Yong QiaoLing 
Published: June 2020

Abstract
During oral English learning, assessment allows students to understand and correct their problems in oral English to achieve the effect of “Promoting learning through assessment”. The traditional manual assessment has many limitations such as low efficiency and high cost, while automatic assessment of oral English can be implemented based on artificial intelligence (AI) technology, which is a crucial reform direction of oral English teaching and assessment in the future. In this paper, the significance of oral English assessment is first introduced. The existing problems of manual assessment are analyzed. Subsequently, the principle of automatic assessment of oral English based on AI technology is expounded. The development status is explained through two products (Chisheng and Zhiling). Finally, the existing technology and problems in use are analyzed, and targeted suggestions are proposed.
Underwater Detection Signal Based on LM-BP Neural Network Algorithm
Authors: Gu XueFeng , Lou JingJun , Liu Kai , Hu Ping 
Published: June 2020

Abstract
The algorithm of underwater signal detection based on LM-BP neural network has a very broad application prospect. It is an important means of underwater background weak signal detection and a good method of phase space reconstruction. In this paper, the band-pass LM algorithm combined with BP neural network is used to process the underwater signal, which can effectively filter the magnetic noise in the underwater environment and extract the characteristics of the underwater detection signal. This paper first analyzes the time-frequency characteristics of the underwater detection signal, then studies the BP neural network of LM algorithm, and studies the design of band-pass filter, finally analyzes the application example based on LM-BP algorithm.
Evaluation of the Role of Rural Tourism Industry in Promoting Economic Transformation Based on Intelligent SVM Classification Algorithm
Authors: Lin MinJie 
Published: June 2020

Abstract
With the development of economy, China’s tourism industry has made great progress in recent years, various types of tourism industry emerge in endlessly, and in this context, the innovation of the tourism industry is very important. However, there is an obvious imbalance between the urban and rural economic development in China. In order to improve the economic development difference caused by the inherent urban-rural dual structure, it is necessary to formulate effective measures to promote economic transformation. In this paper, the study of rural tourism industry analysis, targeted solutions against the bottleneck link, based on an intelligent SVM classification algorithm analysis of urban and rural development and the trend of the economic transformation in China.
On The Auxiliary Role of Computer and Network in Japanese Translation
Authors: Li Shan 
Published: June 2020

Abstract
In recent years, with the rapid development of information technology, computer-aided translation system has gradually entered people’s vision. With its advantages of high efficiency and low cost, it has attracted much attention in many linguistic fields. With the development of the international era, people are no longer satisfied with artificial Japanese translation, they prefer to use computer-aided translation system. If we can’t know the culture of Japan, artificial translation can’t make people understand the real meaning of Japanese sentences. However, the computer with huge information storage can solve this problem. This paper includes systematic summary of the computer-aided system and the analysis of the affect of computer-aided in the process of Japanese translation.
Computer Simulation Evaluation of Financial Risk Based on Cuckoo Search and SVM Algorithm
Authors: Ma YuZe 
Published: June 2020

Abstract
With the rapid development of science and technology, there are more and more large-scale transnational enterprises, which also cause many financial risks. The financial risk level of listed companies will directly affect the sound development of the financial market, which requires listed companies to do a good job in financial risk assessment. However, most of the current financial risks rely on financial statements and other forms, which will be difficult to form a good early warning mechanism. Through the cuckoo search algorithm and SVM algorithm, we can form a new intelligent evolutionary algorithm, which can carry out multi group search and adaptive step size. Through the improved method, we can optimize the parameters of SVM model, which will be applied to the company financial risk assessment. Through the improved cuckoo search algorithm, we can improve the accuracy of financial data classification and prediction, which will better improve the financial environment. First of all, this paper analyzes the algorithm based on cuckoo. Then, this paper analyzes the SVM algorithm. Finally, some suggestions are put forward.
Computer optimal path simulation planning of oil and gas storage and transportation based on similarity measurement of decision space
Authors: Wang ZhiHan , Li TianYu 
Published: June 2020

Abstract
The optimal path of oil and gas storage and transportation has become an important issue of oil and gas transportation management, which has become an important research topic. By reasonably arranging the driving route of vehicles, enterprises can reduce their own transportation costs, which will optimize the objective function. By relying on the similarity measurement algorithm of decision space, we can optimize multiple objective functions of oil and gas storage and transportation, such as the number of vehicles, the total distance of the path, the total waiting time, vehicle service time, etc. Through the study of multiple route schemes, we can choose the optimal route simulation planning of oil and gas storage and transportation. First, we analyze the decision space similarity measurement algorithm. Then, the optimal path simulation planning of oil and gas storage and transportation is proposed. Finally, some suggestions are put forward.
Value and Development Ideas of the Application of Artificial Intelligence in Sports Training
Authors: Zhang Hong 
Published: June 2020

Abstract
In this paper, the value and development dilemma of artificial intelligence (AI) technology in the process of building a sports power are analyzed by literature and other research methods. Combined with the current situation and characteristics of the sports development in China, the following suggestions are proposed for the application of AI in sports: clarify the responsibilities of the state, governments and sports departments at all levels, and provide funds and policy support for the application of AI in sports, develop norms and standards for the application of intelligent products in sports, maintain fairness, justice and social ethics in sports, enhance the training of sports AI talents, facilitate the organic combination of production, learning, and research, strengthen the training of sports practitioners in AI, cultivate their awareness of AI application and information literacy, accelerate the development of data norms and information standards, to provide data guarantee for the integration of AI and sports.
ADCP Data Acquisition and Its Application in Multichannel Signal Processing
Authors: Zhang Xinyu 
Published: June 2020

Abstract
With the deepening of related research, the relevant theories of signal processing and the final acquisition method have made significant achievements, which have been widely applied to image processing, radar and other fields, promoting the continuous improvement and improvement of signal processing technology. A series of facts show that the progress of signal processing can effectively promote the development of other disciplines. The combination of ADCP data acquisition technology and signal processing is relatively late, but now it has become an important method of information processing, and it continues to develop towards systematization and maturity. The purpose of this paper is to strengthen the in-depth understanding of ADCP data acquisition and better promote its combined application with multi-channel signal processing. This paper first explains the concept and working principle of ADCP data acquisition, then applies the ADCP algorithm to multi-channel signal processing, explains the overall design of ADCP multi-channel signal processing platform, and then analyzes the specific situation of the platform from the perspective of design requirements and signal processing analysis. The experimental results of this paper show that the design of ADCP multichannel signal processing platform realizes the scientific application of ADCP data acquisition in multichannel signal processing.
Innovation of Family Business Management Mode under the Environment of Big Data and Artificial Intelligence
Authors: Liu Hui 
Published: June 2020

AbstractIn today’s era, the emergence and application of artificial intelligence and big data have become the main means for enterprises to improve economic benefits. It can be said that the application of artificial intelligence and big data in family business management is an information and digital enterprise revolution. Of course, in such an era of rapid development of new technology, the management model of family business has also been some unprecedented impact and impact. The traditional family business management mode cannot meet the needs of the further development of the enterprise at all. In order to promote the development of the family business, it is necessary to use the innovative thinking of artificial intelligence and big data to improve related work. The purpose of this paper is to take the management mode of family business as the research object, analyze and study how the management mode of family business can be innovated to meet the needs of social development under the background of artificial intelligence and big data. This paper will use case analysis, comparative analysis, etc., specifically analyze the family business in the management mode of the shortcomings and problems, so as to find a new approach to these problems. The research results show that family business management model does have its advantages and characteristics, but it is undeniable that in the context of big data and artificial intelligence, the shortcomings of the traditional management model are constantly exposed. How to innovate the traditional management model is the key to the sustainable development of family business.
Application of IEC61850 in Intelligent Distributed Network Automation
Authors: Wu Lifang , Yu Xiaoyong , Chen Shaonan , Huang Weixiang , Tao Kai 
Published: June 2020

Abstract
The safe and stable operation of the power grid system is conducive to ensuring the orderly development of China’s economy. Therefore, we must firmly grasp the development trend of the power distribution automation power system, comprehensively grasp and understand its existing problems, and formulate targeted solutions. This paper mainly studies the application of IEC61850 in intelligent distributed network automation. The communication application IEC 61850 of the master station and the terminal in the distribution network automation is the current development direction. The use of object-oriented modeling technology and a unified configuration language can improve interoperability between devices, reduce communication configuration, and reduce the workload of installation and commissioning. The communication service mapping defined by IEC 61850 is completely suitable for distribution network automation communication. Adopt distribution Intelligent control technology and design based on the IEC61850 standard are the development trends of intelligent power distribution terminals. This paper gives the structure of a distributed intelligent distribution automation system. The control mode studied in this paper has an impact on the system’s annual outage time indicators, and the indicator SAIDI is correspondingly increased, and the corresponding proportions are 52.1% and 43.2%. ENS and ASAI are proportional to the optimization level of this indicator, so it can be shown that the construction of distribution network automation can effectively reduce the power outage duration of the entire system, which has a significant effect on improving the reliability of distribution network power supply.
Industrialization Path of Agricultural Intelligent Equipment
Authors: Peng Xiuyuan , Lu Chuang , Wang Feng 
Published: June 2020

Abstract
China has been one of the most responsible countries in the world, and its influence on the world is growing. Since ancient times, agricultural stability is stable, agricultural prosperity is national prosperity. The stable development of agriculture is beneficial to the stability of our society and the stability of our international position. In the current information society, intelligent equipment can be seen everywhere in daily life. The application of intelligent equipment in agriculture is also getting more and more attention. However, due to the limited policy support, weak overall strength and poor external development environment in China, the industrialization of intelligent equipment in China’s agriculture has fallen into a bottleneck period. Starting from the significant problems in the application of agricultural intelligent equipment in China, this paper adopts SWOT analysis method and field research method to analyze the feasibility of promoting the industrialization of agricultural intelligent equipment in China, aiming to explore the industrialization path of agricultural intelligent equipment in line with China’s national conditions, promote agricultural development and help China’s Renaissance. The results of this paper show that the per capita cultivated land area in China is far less than that in the world, and the contradiction between man and land has been accompanied by the development process of China, so it is imperative to promote the industrialization of agricultural intelligent equipment. Increasing publicity, raising farmers’ awareness, increasing purchase subsidies, expanding the scope of use, enhancing scientific innovation capacity and improving hardware quality are conducive to breaking the current bottleneck and promoting the development of agricultural intelligent equipment industrialization.
Superpixel Image Segmentation Based on Improved K-means
Authors: Siyuan Ran , Xinying Li 
Published: June 2020

Abstract
Superpixel algorithm is the pretreatment of the image processing steps, in the processing of computer vision, precision of the superpixel algorithm is very important. In order to improve the accuracy of superpixel segmentation, an improved k-means algorithm for superpixel segmentation is proposed. This algorithm uses the improved k-means algorithm to cluster the images. By changing the calculation method of distance, it improves the measurement of similarity, improves the accuracy of segmentation, and improves the quality of segmentation results. Experimental data show that this algorithm performs better than the traditional algorithm and improves the segmentation quality and visual effect.
Application of Improved Ant Colony Algorithm in Optimal Planning of Dynamic Distribution Network
Authors: Liu JinXiong , Huang TieZheng , Duan Xi 
Published: June 2020

Abstract
In this paper, the analysis is carried out in order to optimize the dynamic distribution network. The analysis is based on the basic principles of distribution network planning technology. It summarizes the ant colony algorithm and the improved ant colony algorithm, and proposes an improved ant colony algorithm for the distribution network planning the mathematical model construction method, and finally verifying the example. The results show that the improved ant colony algorithm has more advantages than the traditional ant colony algorithm, and it is more in line with the basic principles. The digital model of the distribution network planning has been successfully implemented, and it has a good performance in the calculation examples. The application of improved ant colony algorithm to optimize the planning of dynamic distribution network can improve the quality of the planning scheme, indicating that the algorithm has higher application value.
Design and Research of Satellite Communication Terminal System
Authors: Zhang Ting , Wang Zuliang , Liu Yaqiang 
Published: June 2020

Abstract
Under the condition that the local facilities are completely destroyed and the use site changes frequently, it is of great significance to realize the rapid and convenient establishment of satellite communication links at both ends of the ground to meet the emergency communication. A kind of fully automatic portable satellite communication terminal is designed, which integrates the common satellite communication terminal equipment highly, integrates the hardware and software of each equipment, completes the link of satellite communication link and parameter setting by using the keyboard operation of laptop computer, and can automatically complete the process of satellite searching. It can improve the accuracy of the alignment satellite, ensure the excellent communication performance, light weight and portability, and is suitable for use in various harsh environments.
Implementation of Graphic Plugin Loading Platform Based on Python
Authors: Liu Yu , Su Youhui 
Published: June 2020

Abstract
With the scripting language getting more and more mature, individual developers can also develop script programs according to their own needs based on the existing software library. In order to help individual developers to quickly and simply complete the software graphical problems, a graphical plugin loading platform is developed based on Python language. Through the specified plugin class standard, developers can quickly convert existing scripts or develop scripts according to plugin class, and easily realize the software graphical.
Internal Welding Monitoring Device of Spiral Submerged Arc Welded Pipe Based On AT89C51 Single-Chip Microcomputer System
Authors: Wang Guiping , Sun Xirui , Ye Tianchi , Luo Zhongbao 
Published: June 2020

Abstract
In order to make the spiral submerged arc welded pipe more accurate, a device for monitoring the internal welding of spiral submerged arc welded pipes is developed. The device uses the AT89C51 single-chip microcomputer as the processor, and the PR9350 sensor detects the distance between the sensor and the slider in the chute to achieve monitoring. The purpose is displayed to the staff by the display. In the design of the detection program, a verification function is added to make the program more accurately report the working status during the running process, so that the staff can solve the abnormal situation of the program in time. In the overall design, the electric push rod is used in cooperation with the welding device to achieve the pipeline running in the normal track direction. After experimental verification, this device can automatically adjust and correct the offset track, the system runs smoothly and has high use value.