bluuebunny/crossref_metadata_2025 huggingface dataset:
Electronic Information Technology Processing System for Intelligent Metal Tube Float Flow Relying on Mixed Normal Distribution Parameters
Authors: Liu Pu
Published: June 2020

The sensor of the intelligent metal tube float flow is a method of installing the flow directly by bundling the sensor directly on the outer surface of the pipe under the test. It solves the problem that other flows must be disconnected from the pipe and stopped when they are installed, Is the basic installation method of the flow meter, has the characteristics of irrelevant to the pipe diameter, the simple installation, no need to stop production, no pressure loss and so on. In this paper, a Gaussian normal distribution is used to analyze the fault phenomenon and cause and a set of methods for diagnosing and troubleshooting flow faults are summarized.
RETRACTED: Transformation of Competitive Sports Based on Artificial Intelligence
Authors: Zhang Hong
Published: June 2020

In recent years, great achievements have been made in China’s sports industry. Meanwhile, the development of the sports industry is just unfolding. The overall scale of China’s sports industry is expanding and demonstrating a rapid development speed, which has provided strong support for the robust development of the national economy. In the context of artificial intelligence (AI), China’s policy support for the sports industry is more and more vigorous day by day. With the upgrading of the sports industry consumption, the sports industry will have a new momentum of development and transformation. In this paper, the current situation of the sports industry development in China is briefly introduced. The new changes in the sports industry development in China are preliminarily analyzed from the perspective of AI to explore the cultivation of the sports industry development momentum in China in the context of AI and provide a reference for the development of the sports industry.
Analysis on the Algorithm and Practical Application of Computer Intelligent Image Processing Technology
Authors: Ding Li
Published: June 2020

With the continuous improvement of computer science and technology, the role of computer in the development of the whole society is more and more prominent. Based on this development background, people begin to pay attention to the research of computer intelligent processing technology, which can accurately identify and process objects in different environments. At present, the technology in this field has been greatly improved in China, and the application scope of computer intelligent image processing technology has been gradually expanded. The purpose of this paper is to realize the further breakthrough of the computer intelligent processing technology through the exploration of the algorithm and the analysis of the practical application. This article first to the intelligent image processing technology has carried on the summary of relevant, then combined with the existing research materials and the characteristics of the intelligent image processing technology, mathematical morphology of image processing algorithm is proposed, and the effectiveness of the proposed algorithm has carried on the inspection, finally the technology application in the field of industry, agriculture and transportation related instructions. The experimental results show that the image processing algorithm of mathematical form proposed in this paper can realize the accurate processing and recognition of the image and promote the improvement of the technology.
Development Strategy of Securities Investment Industry under the Background of Artificial Intelligence
Authors: Hu GuoRong , Liu Hui
Published: June 2020

The application of artificial intelligence technology in the field of securities investment is becoming the next hotspot of Internet finance. The purpose of this paper is to study the development strategy of securities investment industry based on the background of artificial intelligence. First of all, after understanding that there will be revolutionary changes in the field of securities investment, this paper studies three strategies for the development of securities investment industry: establishing the registration and filing system of securities investment intelligent agent, establishing the source code notarization system of securities investment intelligent agent and constructing the regulatory framework suitable for inclusive financial services. The research method of empirical analysis is adopted to obtain customer data through more than two different channels. The experimental results show that the research method of empirical analysis is adopted. According to the feedback of 108 companies’ questionnaires, 55 companies have indicated that they have used artificial intelligence technology in investment consulting business, accounting for 50.93%. Of the remaining 53 companies that did not use AI technology, 28 said they had plans to launch related businesses. At present, artificial intelligence is widely used in the securities industry for customer portrait and account diagnosis, information service, and robot customer service. Its purpose is mainly to reduce customer service costs and expand the coverage of customer service. At the same time, it has begun to gradually layout investment tools to try to improve customer investment difficulties and improve customer service level.
The Application of Artificial Intelligence Technology in the Quality Evaluation of Dance Multimedia Teaching in Higher Vocational Colleges
Authors: Jiao Yuting
Published: June 2020

Through scientific and effective evaluation of dance classroom teaching quality, teachers can objectively and accurately evaluate teaching methods, attitudes and effects, and lay a cognitive foundation for the improvement of dance teaching quality. The purpose of this article is to evaluate the teaching quality of dance multimedia in vocational colleges based on artificial intelligence technology. The application of BP neural network in teaching evaluation and the algorithm of BP neural network teaching quality evaluation model are studied, and the construction of dance classroom teaching quality evaluation system is discussed. First, the same teacher uses the same teaching materials and uses different teaching methods to teach the students in the two classes respectively, and secondly, an interest survey on dance classes. The experimental results show that multimedia teaching has brought great convenience to teachers in preparing lessons and improved their professional level. In addition, the use of courseware to demonstrate actions in teaching avoids the negative impact on student presentations due to differences in teacher age, technology, and personal understanding. Compared with the control class, the experimental class increased the density of free practice by 10.93%, and the heart rate increased by 8 times / min.
Intelligent Rural Planning Management Based on MATLAB Simulation
Authors: Yuan Xiujie , Zhao Li , Chang Chunyan , Wang Zhuoran , Yu Xinyang
Published: June 2020

With the continuous and rapid development of the economy and society and the steady improvement of the living standards of the people, the intelligentization of rural management has become a new concept and new path to build a co-construction and shared governance pattern. Although the intelligentization of rural governance in China has been strengthened conceptually and achieved some results in practice, there are still many problems. The purpose of this paper is to study intelligent rural planning management based on MATLAB simulation. This paper briefly analyzes the practical significance of rural intelligent planning and management, and introduces the advantages of Matlab software. Then the steps of image preprocessing are described, including image filtering and denoising and image graying. Based on this, this paper designs a rural intelligent management system based on Matlab software, which integrates three major platforms of information application platform, information service platform and infrastructure platform, covering most of the requirements of rural management. It also puts forward suggestions to promote rural intelligent management. This article tests the function, performance, interface, data, and requirements of the system, and obtains that the number of required bugs accounts for 5% of the total number of bugs. The experimental results show that the system can meet daily needs.
Wisdom City under the Perspective of Intelligent Factors of the Brand of Meta-analysis in Colleges and Universities to Explore
Authors: Wang Min , Liu Yishu
Published: June 2020

Smart city is a hot topic in today’s urban construction. Smart city construction is an effective way to solve the inherent problems of traditional urban construction. As an indispensable part of the city, colleges and universities urgently need to seek new ways of development to promote their own development. The construction of smart city will lead the construction of colleges and universities into a new stage of smart campus construction, which is the further deepening of digital campus and will provide new vitality for the development of colleges and universities. The research of this paper points out that the brand of colleges and universities is the embodiment of the popularity and reputation of colleges and universities, the symbol of the teaching quality of colleges and universities, and in essence it is an intangible asset, containing huge material and spiritual wealth. The purpose of this paper is to explore how to build the brand characteristics and enhance the brand value of colleges and universities with the help of intelligent schemes in the context of smart cities. This study widely collected over the years the academic papers about brand assets in colleges and universities, the related data of university brand effectiveness meta-analysis, and explore the correlation factors between the dimension of brand equity, adopt rigorous mathematical analysis to investigate the effect of each observed variable amount, which then through SEM analysis, to seek better factors of brand assets in institutions of higher education structure. It is believed that the research results of this paper will be able to combine a number of technologies on the existing basis to create research and practical contributions.
Internet plus -based Micro-monitoring Platform Teaching Monitoring Method
Authors: Liu Yishu
Published: June 2020

Traditional teaching quality monitoring is a relatively static inspection process, while teaching activities are a continuous and dynamic process. Therefore, exploring an effective, continuous and dynamic process teaching quality monitoring method, improving the effectiveness of teaching quality monitoring, and promoting the continuous improvement of teaching quality(TQ) is an important issue facing teaching management departments. The purpose of this article is to study the teaching monitoring method of micro-learning platform based on Internet +. In terms of methods, it is proposed to reform the teaching evaluation system, improve the efficiency of TQ monitoring, and ensure the effectiveness of TQ and staff training. Four improvement measures are proposed, including the three-level department lecture system and teaching supervision system, the implementation of teaching supervision system, and the establishment of a TQ information feedback system to improve the effectiveness of teaching monitoring. The data are found, and it is found that the improved monitoring method proposed in this paper is more effective than the original teaching method of micro-learning platform. Based on student feedback, I hope to promote the monitoring method proposed in this article.
Application of Artificial Intelligence Algorithm in Visual Guidance of Industrial Robot
Authors: Zou Lei
Published: June 2020

With the rapid development of science and technology and manufacturing industry, the position of industrial robots in the advanced manufacturing industry is also improving, the application of industrial robots has been expanding. Visual guidance technology can help industrial robots to complete the production work with high flexibility and high intelligence, and promote the fine development of industrial robot technology. The purpose of this paper is to realize the good application of artificial intelligence algorithm in the visual guidance of industrial robots and promote the continuous improvement of its visual guidance system. This paper first discusses the concepts of artificial intelligence, industrial robots and visual guidance, then analyzes the specific application of artificial intelligence algorithm in visual guidance system based on Apriori algorithm, and detects the visual guidance system under artificial intelligence algorithm through simulation experiments. The experimental results show that the industrial robot vision system based on artificial intelligence algorithm in this paper has a great advantage in calibration accuracy and calibration time.
Simulation Experiment on Drag Reduction Effect of the V-shaped Groove Structure of Bionic Water Strider Robot
Authors: Wang Qingcheng , Yang Xiaodong
Published: June 2020

The drag reduction of the groove surface is inspired by the shark skin structures, the groove structure is transplanted onto the water-repellent robot and subjected to drag reduction simulation experiments. The effect of the width, height and apex angle of the V-shaped groove on the drag reduction coefficient is studied. When the dimensionless parameters of the width, height and apex angle of the groove are 16, 11and 70°, the best drag reduction effect is obtained, the drag reduction rate is about 6.5%. The characteristic parameters obtained through simulation experiments can provide a design basis for the drag reduction research of bionic water hammer robot.
New Sugar Water Sweetness Measuring Instrument Based on Sensor Technology
Authors: Huang Jian
Published: June 2020

In order to accurately detect the concentration of sugar water, a new sensing technology based on capacitance sensing is adopted. Based on the capacitance sensing technology, a metal rod is used as a sensor, which can be extended into the sugar water container to produce a variable capacitance value. The data can be collected and processed, and the sweetness of sugar water can be measured.
Realization of Smart Home Information System with High-accuracy Data Import Based on Big Data
Authors: Li Gang
Published: June 2020

To solve the problem of low data import accuracy of intelligent Internet of Things (IoT) information system in the existing smart home application scenarios, this article develops a scheme of smart home information system based on big data with high-accuracy data import. The scheme is based on the system architecture, combined with the related hardware system of smart home, which can successfully complete the accurate import and stable data preprocessing of a large number of data Manage and classify data. By comparing the existing smart home data import performance, big data simulation and comparative experiments are carried out. The experimental results show that the smart home information system can ensure the accuracy and reliability of information import when importing a large number of data. The validity of the scheme is verified. The smart home information system realized by the scheme can operate accurately and reliably in the big data environment, which also shows that the scheme can be extended to the whole society.
Research and Implementation of Remote Sensing Image Database Technology Based on Oracle9i
Authors: Chen YuanYi
Published: June 2020

With the continuous development of remote sensing technology, more and more image data have been acquired. How to store these data safely and effectively has become an urgent problem that needs to be solved. In this paper, after analysing the types and development methods of image data, we decided to use VC to develop based on Oracle’s image database; an image database system is designed and implemented. Specific research work is mainly reflected in many aspects:
Research on Marketing Strategy Simulation Model under Big Data
Authors: Wang Yan
Published: June 2020

With the rapid development of science and technology, computer technology has become an indispensable resource in people’s daily life, which has changed people’s work and life style. With the advent of the era of big data, the traditional marketing has been unable to meet the needs of market development, which requires enterprises to adapt to the development of the times. Under big data Beijing, enterprises can obtain accurate market economy information and operation information, which will provide important data analysis. Therefore, through big data analysis, enterprises can change their marketing strategies, which will improve the quality and efficiency of marketing. First of all, this paper analyzes the necessity of marketing strategy transformation. Then, this paper analyzes the marketing strategy simulation model under big data.
Performance Mode of Order Competition Integral System Based on Autonomous Earned Point System Model
Authors: Yang XiuXiang
Published: June 2020

The tobacco monopoly administration (company) has established the organic connection between the corporate external and internal market through the autonomous integral performance mode. According to the standards of “Value anti-driving mechanism” of “Performance segmentation, pay segmentation, back-flush task by wage, remuneration based on completed effects” and the “Process quantification” of “It’s different to do more than to do less, to do quickly than to do slowly, to do a good job than to do a bad one”. In this way, the business management and control focus is clarified, the operation process is optimized, and various management indicators are continuously improved to achieve organizational harmony of win-win between employees and the enterprise.
Application of Data Mining Technology in Music Curriculum Resources
Authors: Zou LianFeng
Published: June 2020

As an indispensable medium between teaching theory and teaching practice, teaching mode can not only effectively guide teaching activities in theory but also help develop effective operating procedures and countermeasures for specific teaching practices. The music curriculum model based on data mining technology is a novel music teaching mode that focuses closely on the technology guideline of “Learning with technology” based on the educational cloud architecture with the collection of multimedia music curriculum resources and properly applies data mining technology to incorporate information technology (IT) means into the music teaching. In this paper, information means such as database and education cloud are effectively used to make an in-depth exploration of the music curriculum model based on cloud computing and data mining technology to provide higher quality information services to schools, teachers and students.
Applied Research on Agricultural Big Data
Authors: Wang Feng
Published: June 2020

With the continuous advancement of digital informationization, the agricultural field has naturally entered the era of big data. At present, big data technology has achieved remarkable results in the Internet industry, but it is still in its infancy in the agricultural field. Due to the complexity of the agricultural field itself and the obvious diversity and heterogeneity of data, the agricultural Internet of Things in the big data environment is facing many difficulties and challenges, especially the collection and storage of massive data. The purpose of this article is to study the application of agricultural big data. This article briefly introduces the background of the development of agricultural big data and the significance of developing agricultural big data, and summarizes the meaning of big data. At the same time, this article summarizes and analyzes the major applications of agricultural big data in production process management, agricultural resource management, and agricultural ecology environmental management, agricultural products and food safety management. In the experimental part, this paper designed and implemented an agricultural big data system platform based on Hadoop. This article simulated the query of 10, 100 and 1000 records respectively for 10,000, 100,000, 1 million and 10 million records, and the average response time was 56ms. The experimental results show that the performance of the agricultural big data platform designed in this paper can meet the needs.
Legal Risk of Net Information Dissemination in Big Data Era
Authors: Ruan Lili , Liang Dongxin
Published: June 2020

As the rapid development of the Internet and the wide application of big data technology, it has spawned a large number of network users. The free dissemination of various kinds of information has gained new development, but it has also given rise to many new conflicts and problems. This paper is mainly based on the current network information dissemination which has which has three characteristics: first, the information spreads highly effective and freely; second, the information is difficult to judge the authenticity; third, it is related to the netizens’ privacy. That explains the era of big data network information dissemination facing all kinds of legal risk, which involves the citizens’ rights are violated, and the network crime is increasingly serious, legal issues, such as national information security threats, thus put forward to perfect the relevant legal system, strengthen government guide, suggest improving the social regulation.
Application of “Cultural Data” in College Education from the Perspective of Big Data
Authors: Xue Chunmei , Cao Aiping
Published: June 2020

With the gradual popularization of the Internet, the technology of big data has gradually entered the public’s vision, and its attention is increasing day by day. To improve the country’s soft power and strengthen cultural self-confidence, data and information in the cultural field are undoubtedly of great concern. College students’ inheritance and development of culture plays an important role in the strategy of strengthening national cultural soft power. Applying the technology of big data to the cultivation of talents in colleges and universities is the trend of development in the future. Colleges and universities should examine the value of “cultural data” in big data, adhere to the correct principles of education, and actively explore reasonable and effective ways to serve the cultural education in colleges and universities. This paper will focus on the application of “cultural data” in big data in the education of colleges and universities.
Internet Thinking Boosts Hotel Management Upgrade Path Analysis
Authors: Gao Fang , Li Liangyu
Published: June 2020

The emergence of the Internet has changed the traditional business model and people’s living habits. With the application and development of the Internet + in various industries, traditional hotels are also facing the challenge of transformation and upgrading. By exploring the nature and connotation of Internet thinking, and focusing on the serious pains of traditional hotel homogenization, aging business model, and serious waste of resources, combined with the characteristics and advantages of the Internet, the Internet thinking can be reasonably applied to hotel marketing., product services and internal management, etc., is the key to hotel transformation and upgrading. This paper analyzes the relationship between Internet thinking and its emergence, and combines hotel management to explore its future development path under the Internet thinking.
RETRACTED: Investigation and Analysis of Current Situation of High School Campus Basketball in Huining City Based on Big Data Analysis
Authors: Liu Qingmei
Published: June 2020

This paper adopts methods of questionnaire, literature and interview, etc. It investigates and analyzes the current situation of campus basketball development in Huining senior middle schools from the aspects of students’ motivation, main forms, courses, etc. The results show that the main problems of campus basketball in these schools are as follows, including out-dated basketball teaching content, weak teaching staff, lack of sports court facilities, and insufficient attention of government departments. Thus, it is suggested to strengthen the construction of teaching staff, increase the attention of government departments to campus basketball, and strengthen the construction of basketball court facilities. In this way, we will make the campus basketball of Huining senior middle schools develop better.
Integration of Chinese Traditional Cultural Elements in Modern Graphic Design Teaching Based on Big Data Analysis
Authors: Ding Lifang , He Xuelan , Tang Yawen
Published: June 2020

Traditional culture is a reflection of the simple customs, living beliefs and social environment of the Chinese nation, which is very important for the development of the country. Under the influence of economic globalization, Chinese traditional culture has been widely used in modern graphic design teaching. It not only provides rich information for graphic design teaching in China, but also has great significance for the development of Chinese culture and art. The purpose of this article is to study the fusion of traditional Chinese cultural elements in modern graphic design teaching based on big data analysis. This article proposes the integration of classroom teaching and practice, and vigorously implements the “combination of training and training” teaching mode, with “on-site teaching” as the main form. Adding traditional graphic creative design, you can try to design and design works with a sense of the times and history, while mixing with the students’ own, and different emotional factors experienced from traditional culture. Strengthen students’ research and study of traditional cultural theories. In terms of experiments, by conducting a questionnaire survey on students of graphic design in a vocational college, students’ expectations for the form of the course and their views on the role of modern graphic design are obtained. It was concluded that 25% of the students said that they like the teaching style that integrates culture and life. More than half of the students think that graphic design is the carrier of folk culture.
Variation of the frictional anisotropy on ventral scales of snakes caused by nanoscale steps
Authors: Wu Weibin , Yu Shudong , Schreiber Paul , Dollmann Antje , Lutz Christian , Gomard Guillaume , Greiner Christian , Hölscher Hendrik
Published: June 2020

The ventral scales of most snakes feature micron-sized fibril structures with nanoscale steps oriented towards the snake’s tail. We examined these structures by microtribometry as well as atomic force microscopy (AFM) and observed that the nanoscale steps of the micro-fibrils cause a frictional anisotropy, which varies along the snake’s body in dependence of the height of the nanoscale steps. A significant frictional behavior is detected when a sharp AFM tip scans the nanoscale steps up or down. Larger friction peaks appear during upward scans (tail to head direction), while considerably lower peaks are observed for downward scans (head to tail direction). This effect causes a frictional anisotropy on the nanoscale, i.e. friction along the head to tail direction is lower than in the opposite direction. The overall effect increases linearly with the step height of the micro-fibrils. Although the step heights are different for each snake, the general step height distribution along the body of the examined snakes follows a common pattern. The frictional anisotropy, induced by the step height distribution, is largest close to the tail, intermediate in the middle, and lower close to the head. This common distribution of frictional anisotropy suggests that snakes even optimized nanoscale features like the height of micro-fibrils through evolution in order to achieve optimal friction performance for locomotion. Finally, ventral snake scales are replicated by imprinting their micro-fibril structures into a polymer. As the natural prototype, the artificial surface exhibits frictional anisotropy in dependence of the respective step height. This feature is of high interest for the design of tribological surfaces with artificial frictional anisotropy.
Analysis of the Influence of Atmospheric Precipitation on the Spring Level in Jinan
Authors: Lan Xiaoxun , Xing Liting , Dong Yanan , Yao Chunmei , Cao Qianqian
Published: June 2020

In order to realize the rational use of groundwater in Jinan and guarantee the continuous gushing of spring water, a hydrogeological survey was conducted in the study area to collect precipitation and spring water level data over the years, and to analyze the correlation between precipitation and spring water level at different time scales and spaces. Research shows that the correlation coefficient between precipitation and spring water level is the largest in the 1960s, and human activities have less influence on spring water, with the increase of groundwater demand from social development and the implementation of related spring protection measures such as groundwater limitation and replenishment, the correlation coefficient between precipitation and spring water level decreased first and then increased, mining volume remains the main factor affecting groundwater levels; precipitation lag time of Xing long Station, Donghong miao Station and Yanzi shan Station is short. The areas where these rainfall stations are located may be suitable for recharge and replenishment. The research results provide technical basis for spring water protection.
Non-destructive Detection of Blackheart Potatoes Based on Energy Spectrum of VIS/NIR Transmittance
Authors: Han Ya-fen , Lv Cheng-xu , Yuan Yan-wei , Yang Bing-nan , Zhao Qing-liang , Cao You-fu
Published: June 2020

Blackheart disease can cause internal defects in potatoes, which seriously damages the quality and yield of processed potato products and causes considerable economic losses. To achieve online grading of potato, it is important to develop an accurate and reliable method to identify and separate blackheart potatoes non-destructively. A new method of transmitted energy spectrum determination was analysed and adopted innovatively for blackheart potato detection. Three methods, peak area linear discrimination analysis (PA-LDA), peak value linear discrimination analysis (PV-LDA), and peak difference value linear discrimination analysis (PDV-LDA), were used to identify blackheart potato, respectively. All of the three determination methods (PA between 657nm to 750nm normalized by T580, T698/T657, (T698-T657)/T624) could identify blackheart potatoes accurately, and the classification accuracy were 91.69%, 92.43% and 93.69%, respectively. PDV-LDA ((T698-T657)/T624) showed the best performance, whose sensitivity, specificity, and AUC value were 94.86%, 95.19%, and 0.98, respectively. Compared with the general absorbance spectrum determination method, this method has simple operation, stable model, and can realize online detection fastly and accurately.
Rethinking the Way of Life —Synthetic Biology
Authors: Liu Jinjian
Published: June 2020

Synthetic biology is a rapidly developing field which stems from normal genetic engineering, and benefiting from the advances of chemical and physical experimental technology. In doing so, scientists can artificially create or predict certain traits of a creature. Serving as a tool to manipulate gene expression and genome sequence, synthetic biology has multiple applications such as for studying microorganisms, agriculture, environmental conservation, and economy. In the orthodox belief, people are not capable of intervening with inherent gene traits, but as breakthroughs in synthetic biology are constantly made, rethinking of the way of life is needed. Challenges and opportunities always appear simultaneously. Not only were the scientific thoughts shown through the development of synthetic biology invaluable, but people shall consider further topics of life. That is, what can be done with synthetic biology, for humankind and for the world. A brief introduction about this field will be given, and the applications and prospect about synthetic biology will also be discussed. In conclusion, all the advancements in this field have greatly enhanced scientists’ ability to manipulate genomes and have deepened their understandings about the way of life.
Method study for implantation positioning of corn seeds
Authors: Yan Bingxin , Xiao Yuejin , Gao Nana , Mei Hebo , Liu Tianxing , Meng Zhijun
Published: June 2020

To meet the needs of precision agriculture for crop location information, to achieve accurate plant position of crops, and to solve the problem of low resource utilization rate and high operation cost caused by repeated identification and positioning of plants in each part of field management, a seed positioning method was proposed by using maize planting as research object. A 4-row precision planter was used, all seed tubes were replaced with optoelectronic sensor (OE-sensor) equipped tubes to monitor seeds dropping. An RTK satellite receiver mounted on seeder frame girder provided global position. Furthermore, time and distance compensation model of seed from OE-sensor to implantation process was established based on EDEM numerical simulation. Seeds implantation location prediction and actual position measurement data acquisition programs were developed. Field test results showed that the mean, range and standard deviations (SD) of the longitudinal deviation between prediction location and actual position in operation direction were greater than vertical deviation which is perpendicular to operation direction. 87.7% of corn seeds dropped within 50mm from prediction location at operating speed of 3.2 km/h. This method can provide theoretical reference for synchronous generation of seed map in seeding process.
Study on the influence of acceleration curve on electric vehicle energy consumption and battery life
Authors: Li Lifu , Liu Qin
Published: June 2020

At present, much research on acceleration curve mainly focuses on reducing electric vehicle energy consumption, but there has been less consideration given to the impact on battery life, which will result in a decrease in battery life, and in turn leads to a short driving range for electric vehicle. Aiming at the problem, the relationship among acceleration curve and electric vehicle energy consumption and battery life is studied, and when electric vehicle accelerates with a single, two and three accelerations under neighborhood, urban and highway conditions, the difference between electric vehicle energy consumption per kilometer (ECPM) and percentage of battery capacity loss per kilometer (PBCLPM) is studied. Research results show that the variation trend of electric vehicle ECPM with acceleration and acceleration time under different working conditions is basically contrary to the variation trend of PBCLPM. The two are mutually contradictory, therefore, when optimizing the acceleration curve, you should not only consider energy consumption, but also consider the effect of acceleration curve on battery life.
Effect of acid treatment of Li7La3Zr2O12 on ionic conductivity of composite solid electrolytes
Authors: Xu Jingru , Tian Wensheng , Lu Kai , Shan Shuang , Zhang Jingze , Wu Yongmin , Wu Mengqiang , Tang Weiping
Published: June 2020

The garnet-type metal oxide Li7La3Zr2O12(LLZO) is considered to be one of the most promising compounds for solid lithium ion batteries because of its high ionic conductivity at room temperature and excellent chemical stability with the metal Li. LLZO is unstable in humid air and easily forms Li2CO3 on the surface, which leads to the decrease of ion conductivity. In this paper, chemical treatment by oxalic acid is carried out to remove the lithium carbonate on the surface of LLZO. The results show that oxalic acid with a concentration ratio of 5% can completely remove lithium carbonate. Composite polymer electrolyte membranes fabricated by the polyvinylidene fluoride (PVDF)and LLZO before and after the acid treatment are prepared to evaluate the effect on ionic conductivity. The ionic conductivity is 1.4×10−4 Scm−1 and 9.0×10−4 S cm−1 for samples added the LLZO before and after the acid treatment, respectively.
Research on Investment Benefit Evaluation Technology of Wind Power Project
Authors: Wang Li , Liang Junxia , Liu Jinpeng
Published: June 2020

Wind power projects have high investment costs and long payback periods, so comprehensive investment returns and wind power project assessments are essential. Based on the current status and development trends of Chinese wind power projects, this paper builds an index system and model for evaluating the investment benefits of wind power projects based on TOPSIS theory. The research results can provide reference and guidance for the comprehensive evaluation of investment benefits of wind power projects.
Review of Theoretical Research and Engineering Practice for Demand Response Market Mechanisms and Its Suggestions for China
Authors: Yucheng Ren , Teng Zhang , Xiaodong Cao , Kang Xie , Junjun Shao
Published: June 2020

As a substitute for the traditional generator units, the demand side resources can participate in peak-cutting and valley-filling in the power system by changing their operating power, which is called demand response (DR). The DR market mechanism will play a significant role in guiding power users to actively participate in DR. For a long time in the past, Chinese DR practice mainly relied on administrative methods. These methods have adapted to the monopoly power market environment, but it is difficult to adapt to the current state of the power system reform. Based on this background, this paper first summarizes the widely- used price-based DR market mechanism and incentive-based DR market mechanism. Besides, the point-based market mechanism recently proposed is analysed. Then, based on the theoretical research of the market mechanism, the DR engineering practice in the United States, Europe and China is introduced. The point-based market mechanism practice in Jiangsu Province is focused on. The advantages and disadvantages of each market mechanism are analysed. Finally, according to the current development situation of China’s power market, the suggestions about the DR mechanism are put forward for China.
Research Progress of Rotary Desiccant Wheel Optimization Technology
Authors: Du Zhehua , Lin Xin
Published: June 2020

The new efficiency dehumidification technology can meet the comfort requirements in the household environment and the relevant industrial dehumidification standards, which is in line with the energy conservation and environmental protection policy. The rotary desiccant wheel is of relatively mature technology, which has advantages of simple equipment, less consumption and environment-friendly. However, there are still several aspects to improve the technology, for example, the improvement in adsorption ability of desiccants, heat and mass transfer performance of the internal dehumidifying device, utilization efficiency of the low-grade energy sources. In this paper, the recent optimization techniques for rotary desiccant wheel systems are summarized. Five aspects of optimization such as development of new composite desiccant, invention of structure of desiccant bed, novel design of circulation system, enhancement of the utilization efficient of low-grade source energy and operation optimum with ambient air condition, are described. This review may provide some reference for the actual application of rotary wheel dehumidification system.
Geological and hydrogeological features of the lower Permian carbonate locally bituminous complex of the Tatarstan
Authors: Ibrahimov R L , Korolev E A , Eskin A A , Nuriyev I S , Barieva E R
Published: June 2020

The Lower Permian bituminous complex is characterized by complex hydrogeological conditions. The predominant type of reservoir is mixed porous-fractured-cavernous. Water layers lateral prevalence is directly related to the degree of fracturing and cavernous of dolomites and limestones. Regional hydrogeological studies have shown that at the dividing ranges the Lower Perm sedimentary stratum is anhydrous, and in the river valleys it is water-rich. The center parts of such areas are erosive incisions of river valleys. From the periphery to karst regions center, a consistent increase in well flow rates and a decrease in piezometric groundwater levels from the slopes of dividing ranges to the river valleys are observed. In the domed sections of the South Tatar Arch in the Asselian - Sakmarian sediments, calcium-sulphate waters with a total salinity of 1.5 to 3.5-4.0 g/dm3 are prevalent. Sodium sulfate waters appear within the western slope of the arch. Within the eastern part of the Melekess Depression, the Asselian-Sakmarian stage groundwater deposits are already completely sulphate-sodium. The predominance of sodium components over calcium in groundwater is observed during total salinity of 4.5-5.5 g/dm3. In the areas of the Melekess Depression, where the Lower Permian sediments are drowning, groundwater acquires to sodium-chloride composition.
Prospects for the titanium carrying Triassic formations of the Bolshaya Synya depression of the Pre-Uralian marginal flexure
Authors: Sokerin M , Saldin V , Golubeva I , Sokerina N , Korolev E
Published: June 2020

It was established potentially industrial titanium-containing terrigenous rocks from the Lower and Middle Triassic formations of the southern part of the Bolshaya Synya depression, Pre-Uralian marginal flexure. Sandstones contain the bulk of productive mineralization and makeup about 80% of the Triassic section. Sandstones are represented by weakly lithified, finely grained lithoclast greywackes scattered in the hands with weakly rounded unsorted fragments, with pore, film, and contact type of cement form by hydrogetite and illite and chlorite. The proportion of relatively strong sandstones with calcite-siderite cement does not exceed 10% of the studied section. The deposits are formed in alluvial and pluvial, lacustrine depositional environments within the wide alluvial plain. The rocks belong to the upper part of the thick Permo-Triassic continental molasses formed in compensated depressions as a result of the destruction of the Paleo Uralian Orogeny. The main minerals of the heavy fraction are epidote, ilmenite, titanomagnetite, and amphibole; the minor minerals are chlorite, goethite, martite, pyroxene, chrome spinel and a group of garnets. The share of zircon does not exceed the first percent. The main mineral concentrator of titanium is ilmenite, the minor minerals are manganilmenite, titanomagnetite, titanite, leucoxene aggregates, rutile, and pyrophanite. The hypothetical primary source of ilmenite was epidote and amphibole contains shale or epidote containing amphibolite formed from a mafic substrate. The thickness of titanium contains layers is 1–4 m with an ilmenite content of more than 30 kg/m3. At the local level, ilmenite and titanomagnetite mineralization is concentrated in the form of small jets, lenses, puffs, and interlayer bodies. The average contents of ilmenite are comparable with those of the well-known titanium and zirconium placer deposits in Russia. The data presented in the article make it possible to predict the existence of new titanium contains region in the Triassic deposits of the south part of the Bolshaya Synya depression. The productivity of the region should be associated with continental ilmenite placers.
Residence Time Distribution Study in Laboratory Scale Struvite Crystallization Reactor with Online Conductivity Measurement
Authors: Ulfa R , Machdar I , Yunardi Y , Rinaldi W , Jauharlina J
Published: June 2020

Elimination Residence time distribution (RTD) analysis is necessary to explain the hydrodynamic behavior of a continuous stirred tank reactor. In this study, RTD was applied in a laboratory scale struvite crystallization reactor to estimate the degree on non-ideality and its effect on the reactor performance i.e. effective volume, actual hydraulic residence time (HRT), and material dispersion. An impulse-response tracer (NaCl saturated solution) approach and a conductivity meter to detect of the NaCl at the effluent of the reactor were applied. To evaluate effects on the reactor performance, variation of impeller locations, impeller speeds, and flowrates were conducted. The main findings from this study showed that the difference between actual and theoretical HRT was found around as around 10%-34% and 30%-37% for condition of the impeller location at the upper and lower part, respectively. These percentages were corresponding to the reactor’s effective volume, lower percentage means higher effective volume. This finding correlated to the value of dispersion number. It was found to be about 1.612 and 0.49 for the impeller location at the upper and lower part, respectively. Finally, it was observed that the tracer was being almost 100% recovered in the reactor due to a good flow pattern and its impeller location affects the reactor’s performance.
Utilization of Avocado Seed Waste as Raw Material for Producing Biodiesel with CaO Catalyst from Eggshell
Authors: Valensya D , Rozalia I , Zuhra  , Syamsuddin Y
Published: June 2020

Avocado is one of the plants that thrives in the tropical area such as Indonesia. Avocados produce waste in the form of avocado seeds because it is less used. The oil from avocado seeds contains triglyceride as raw materials in biodiesel synthesis. Biodiesel is an alternative diesel oil from the transesterification of vegetable oils or animal fats with the addition of catalyst. The objective of this study was to utilize avocado seed waste as raw material in the production of biodiesel and eggshell waste as source of CaO catalyst. The various effect of reaction conditions, such as methanol-to-oil molar ratio (3:1–12:1), reaction time (30–120 min), and amount of catalyst loading (1–7% wt) were investigated. Catalyst reusability was also studied. Result showed that the highest biodiesel oil was obtained from reaction with the condition of 6:1 methanol-to-oil ratio, 60 min reaction time, 5% wt amount of catalyst loading, and the catalyst can be reused up to 3 reaction cycles with the yield above 75%. The physico-chemical properties of biodiesel produced met the SNI standar of biodiesel quality.
Evaluation on the UV-Shielding Performance of Self-polymerized Dopamine-blended Membrane
Authors: Mawarni S , Meirisa F , Muchtar S , Wahab M Y , Mulyati S , Suraiya  , Rosnelly C M , Sofyana  , Syamsuddin Y , Arahman N
Published: June 2020

Herein we reported the UV resistance evaluation of PVDF membrane which modified through a new blending combined polymerization method. The membrane was prepared by means of non-solvent induced phase separation process in which dopamine was blended altogether with polyvinylidene fluoride polymer in a dimethylacetamide solvent. The blended membrane was further modified by immersion into tris-HCl system to trigger the self-polymerization of dopamine into polydopamine. The UV stability performance was studied by exposing the membrane to the UV light for 5 days. The morphological change of the membrane was observed by using scanning electron microscopy analysis. The results revealed that, with only blending the dopamine into the membrane system, the membrane was severely damaged after UV exposure. However, by simply immersing the blended membrane into buffer Tris-HCl solution, the membrane showed minimal morphological damage after similar UV exposure treatment. This membrane can be a promising choice for the photocatalytic membrane reactor application.