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Introduction Freeway accidents are a leading cause of death in China, which also triggers substantial economic loss and an emotional burden to society. However, the internal mechanism of how microscopic kinetic parameters of vehicles influenced by road characteristics determine the occurrence of different types of accidents has not been explicitly studied. This research aimed to explore the “link role” of tire microscopic kinetic parameters in road characteristic variables and traffic accidents to aid in facilitating the traffic design and management, and thus to prevent traffic accident. Method: A mountain freeway in Zhejiang Province, China was used as the research object and the data used in this paper were obtained through a real-time vehicle experiment. Multiple estimation models, including the standard ordered logit (SOL) model, fixed parameters logit (FPL) model, and random parameters logit (RPL) model were established. Results: The findings show that road characteristics will affect the longitudinal kinetic characteristics of the vehicle and, consequently, map the level of risk of rear-end accidents. Driving compensation effects were also identified in this paper (i.e., the drivers tend to be more cautious in complicated driving circumstances). Another finding relating to the mountain freeway is that different tunnel characteristics (e.g., tunnel entrance and tunnel exit) have different effects on different types of traffic accidents. Practical Applications: The framework proposed in this article can provide new insight for researchers to enlarge the research subjects of both explanatory and outcome variables in accident analysis. Future research could be implemented to consider more driving conditions.

To solve the problem of regional water system evaluation, this paper proposes a system efficiency evaluation method based on the game cross-efficiency model and conducts an empirical analysis. First, autopoiesis is introduced as the theoretical basis. The characteristics of the authigenic system are combined with a regional water system, and the connotation and characteristics of the regional water system are defined. Second, based on the competitive relationship between regional water systems, the existing game crossover efficiency model is improved. A crossover efficiency model of other games is proposed to evaluate the efficiency of regional water systems. Then, the Pearl River Delta urban agglomeration is selected as the research object. The effects of four systematic evaluation methods based on the DEA method are compared horizontally to find the optimal system efficiency evaluation method. Finally, the characteristics of the regional water system in the Pearl River Delta are systematically analysed through the evaluation results, and the present situation of the regional water system is fully explained.

This study took online lending as the main research object to quantitatively measure FinTech risk in China. A theoretical model was built to analyse the relationship between the assets and liabilities of peer-to-peer platforms and the risk of the entire online lending industry. The conditional value at risk method was used to measure the risk spillover effect of the online lending industry and the different types of platforms. Index smoothing and moving average were used to examine risk contagion. When the risk rate of the portfolio of the platform generally increases, the systemic risk of the whole industry also increases, and if the systemic risk of the industry spreads to the portfolio of the platform, it could affect the stability of the capital flow of the platform, and then affect the risk expectation of the platform itself. Most platforms with risk concerns were private. Banking platforms and public platforms were greatly affected by market risk; however, their own risks had relatively little impact on the overall market. The greater the market risk, the more platforms become risk platforms, and the smaller the impact on transition platforms. Regulatory sandboxes may be an effective means of preventing and controlling Fintech risks.

In order to improve the control accuracy between the joints of the manipulator for non-linear uncertain systems such as single-joint manipulators. The $${{{\text{D}}}^{\alpha }}$$ type and $${\text{P}}{{{\text{D}}}^{\alpha }}$$ type fractional order iterative learning control (ILC) strategies are proposed based on combining fractional order calculus and ILC. The experimental verification was carried out with the two-joint manipulator as the research object. The experimental results are as follows: the fractional order ILC is compared with the traditional ILC, in which the minimum value of the position error of the $${{{\text{D}}}^{\alpha }}$$ type fractional order ILC is reduced by 0.00016 and 0.00111 rad compared with the traditional $${\text{D}}$$ type ILC, and the $${\text{P}}{{{\text{D}}}^{\alpha }}$$ type fractional order ILC compared with the traditional $${\text{PD}}$$ type ILC, the minimum value of the position error is reduced by 0.00022 and 0.00024 rad respectively. It shows that the algorithm proposed in this paper can improve the tracking performance of the system and improve system control accuracy.

In this paper, taking 37000DWT asphalt ship as the research object, three different comprehensive cold energy utilization schemes are proposed. Through simulation analysis and evaluation of three d...

This study aims to see the development of the number of vegetable crop yields in the following year. With this prediction, it is hoped that it can help the government and the community to be more careful in increasing the supply of crop stocks in order to meet the food needs of the people of Simalungun Regency. The data source is obtained from the Central Bureau of Statistics. In this study, researchers used the Backpropagation Algorithm. The Backpropagation Algorithm is an algorithm that functions to reduce the error rate by adjusting the weight based on the desired output and target. The results of this study show that the best architectural model is the 2-1-1 model with an accuracy rate of 75.0% and an epoch of 1392 iterations in 00:07 seconds. This research is expected to be a reference material in other studies that have the same research object and as a consideration for the government in making an even more accurate evaluation system

This study aims to provide an overview of the application of the student centered learning method type of small group discussion in applied physics learning for nautical engineering cadets. The method in this study is a survey and literature review. The research object was cadets in the engineering and nautical study program of AMN Cilacap. Learning outcomes in the psychomotor domain are obtained through the discussion method. The instrument used is using google classroom media. Based on the appearance of each image, a small group discussion step in the applied physics learning of nautical techniques is described. Steps 1 to 6 are shown in Figures 1 to 17. In the Engineering class, it can be seen in Figures 3, 4, 7, 8, 9, 10. Whereas in the Nautical class, it can be seen in Figures 5, 6, 11, 12, 13, 14, 15, 16, 17. Applied physics learning in the Nautical class is more enthusiastic and active using small group discussions, whereas in the Engineering class it looks standard (in general). After analyzing and discussing it, it was concluded that the student centered learning method of the small group discussion type in applied physics learning by nautical engineering cadets can be applied according to the 6 steps in the small group discussion.

Design as an activity involves certain ways and paths that must be traversed to achieve the goal. But along with the involvement of new architects in the realistic architectural world, whether it contributes to the introduction of new design approaches, influencing the direction taken to achieve design goals, the current architect in his work is the right research object to study it. The background of the knowledge makes the architect certainly form thought about their way or method of design. This research aims to find out the emerging architect's design methods in Bali in designing tourist accommodation. The benefits of the study can be used as teaching materials for students to build tourist accommodation and provide tourism actors with information about aspects that need to be considered in the design of tourist accommodation. This research's qualitative method, with in-depth interview technique and design document study with research variables, then analyzed through theories based on predetermined variables. The results of data analysis are described qualitatively to get a conclusion. The results showed two design processes (intuitive way and rational way) passed by architects in designing tourist accommodation. The design factors that are the main generator of problems in designing and design solutions are also developed differently, depending on the context and type of tourist accommodation.

Space deployable mast, which is a supporting mechanism, especially for a space telescope, requires high repeatability. In this study, a deployed space tri-prism mast was taken as the research object, and the change of a tensional cable’s tension force was equivalent to an external load. Based on the accurate stiffness model of the mast, the repeatability of the tri-prism mast was calculated by using the Monte Carlo method. Then, the influences of the number of units, the change in the tension force, the thickness of the linkage, and the radius of the tensional cable on the repeatability of the tri-prism mast were studied. Moreover, the correctness of the analytical model was verified by the repeatability experiments. Results demonstrated that the proposed method could be used to analyze the repeatability of tri-prism mast. This study provided references and suggestions for the design of high-precision space deployable mast.

Due to the vast ocean area and limited human and material resources, hydrographic survey must be carried out in a selective and well-planned way. Therefore, scientific planning of hydrographic surveys to ensure the effectiveness of navigational charts has become an urgent issue to be addressed by the hydrographic office of each coastal state. In this study, a reasonable calculation model of hydrographic survey cycle is established, which can be used to make the plan of navigational chart updating. The paper takes 493 navigational charts of Chinese coastal ports and fairways as the research object, analyses the fundamental factors affecting the hydrographic survey cycle and gives them weights, proposes to use the BP neural network to construct the relationship between the cycle and the impact factors, and finally establishes a calculation model of the hydrographic survey cycle. It has been verified that the calculation cycle of the model is effective, and it can provide reference for hydrographic survey planning and chart updating, as well as suggestions for navigation safety.

Energy management has always been one of the important issues of hybrid electric vehicles. For energy management strategy, rational use of complex working condition information (such as driving conditions, road gradient, etc.) can further enhance the energy-saving potential of the vehicle. This paper takes a parallel hybrid electric vehicle as the research object, the energy management strategy is designed in the framework of model predictive control (MPC), and a driving condition prediction model based on BP neural network is proposed and used to select different weight factors for the proposed MPC controller. Finally, the effectiveness of the controller is verified by comparison with the strategy without considering condition information.

Our study took 323 papers on visual culture in education field collected by CNKI as the research object. It extracted and counted the relevant data by Bicomb 2.0, and conducted cohesive subgroup analysis and co-occurrence analysis of key words by UCINET 6.0. Based on the analysis results, the knowledge map of visual culture research hotspots in the field of education is drawn. Finally, according to the data obtained above, the formal and content characteristics of the research literature are analyzed, which provides new ideas for the follow-up study of visual culture.

Character non-formation components are an important part of components, which also occupies a large proportion in the composition of Chinese characters and plays an indispensable role. This paper takes character non-formation components as the research object, and conducts research from several aspects such as the classification, naming and characters-building ability of character non-formation components, hoping to be a supplement to the teaching and research of Chinese character components.

The energy management strategy is the key to distribute the energy required by the vehicle between the engine, generator and the motor. Meanwhile, the economy and dynamic of hybrid electric vehicles are closely related to the energy management strategy. However, the uncertainty and disturbance of actual driving conditions greatly increase the difficulty of designing the energy management strategy. In addition, the popularization of intelligent transportation system and intelligent connected vehicles has brought new opportunities and challenges to the study of energy management strategies for hybrid electric vehicles. In this context, aiming to solve the E-COSM 2021 Benchmark Challenge, this paper takes single-row planetary gear hybrid electric vehicles as the research object, and aims to improve the fuel economy of PHEVs, and carries out research on the topic of energy management strategy of hybrid electric vehicles based on the equivalent consumption minimum strategy.

Hand bone age, as the biological age of humans, can accurately reflect the development level and maturity of individuals. Bone age assessment results of adolescents can provide a theoretical basis for their growth and development and height prediction. In this study, a deep convolutional neural network (CNN) model based on fine-grained image classification is proposed, using a hand bone image dataset provided by the Radiological Society of North America (RSNA) as the research object. This model can automatically locate informative regions and extract local features in the process of hand bone image recognition, and then, the extracted local features are combined with global features of a complete image for bone age classification. This method can achieve end-to-end bone age assessment without any image annotation information (except bone age tags), improving the speed and accuracy of bone age assessment. Experimental results show that the proposed method achieves 66.38% and 68.63% recognition accuracy of males and females on the RSNA dataset, and the mean absolute errors are 3.71 ± 7.55 and 3.81 ± 7.74 months for males and females, respectively. The test time for each image is approximately 35 ms. This method achieves good performance and outperforms existing methods in bone age assessment based on weakly supervised fine-grained image classification.

Libraries must play a role in knowledge management created by all academicians so that it can be used by anyone. This study analyzes publications about the role of libraries in supporting knowledge management. The data were obtained from the Scopus database. The retrieval technique is by entering the keywords "Knowledge Management" and "Library" with a publication year limitation between 1992-2020. The data obtained were then grouped based on the year of publication, publication source and type of literature. For keyword mapping, this study used VosViewer. The results of the analysis showed that research publications on the role of libraries in supporting knowledge management were mostly carried out in 2013 and 2016. Library Management is the journal that publishes the most literature related to this research object, there were 11 documents with a total of 185 citations, was in the form of articles. From the VosViewer mapping, it showed that there were four clusters. Research topics that were mostly carried out were knowledge management systems, knowledge management, libraries and information science, academic libraries, knowledge sharing, knowledge management models, librarians, research development management, information science, innovation, library services, and university libraries.

The purpose of this study is to facilitate SMEs who are members of the WASUKA cooperative in carrying out raw material inventory control to be more effective and efficient using the Economic Order Quantity (EOQ) method. This research is a descriptive analytic research type that aims to describe or provide an overview of the research object through the collected data. This study uses two data sources, namely primary data in the form of data regarding the purchase and use of raw materials and the number of order costs and storage costs. Meanwhile, other data sources are secondary data, namely data on company history, organizational structure, and other supporting data. In this study, the data collection techniques used are observation, interviews, and literature study. This research shows that the purchase of raw materials for wheat flour and peeled green beans by several SMEs in Pia Gempol village when using the EOQ method with several qualifications determined is considered quite efficient. However, the percentage is not too large. This condition may be due to the frequency of purchases made quite often so that the order cost and storage cost is also relatively high. Besides, the raw materials needed by several SMEs that are members of the WASUKA cooperative is considered relatively easy to obtain, considering the existence of suppliers of these raw materials close to the business location. https://doi.org/10.26905/jmdk.v8i2.4030

The digital twin is a virtual model of the agricultural tool working element that allows you to calculate and predict its expected behavior during the entire period of operation.(Research purpose) To develop an algorithm for consistent models that make up the digital twin of the agricultural tool working element.(Materials and methods) The fi rst component of the digital twin algorithm was determined by the method of accelerated imitation loading of the wedgelock ripper working element, which was accepted as the research object. The second component was determined by testing various soils with the specifi cation of power equivalents. The physical and mechanical properties of soils and materials (hardening) for the manufacture of working elements were taken into account during the description of the following components.(Results and discussion) The author showed that the algorithm for constructing a digital twin of the agricultural tool working element consisted from a chain of successive actions and was a system for digital description of the working element, which ensured the standard lifetime during operation. The results of a simulated immersion which registered the nature of the normal forces distribution over the friction surfaces were accepted as the fi rst component of the algorithm. The second component – the results of determining the force equivalent when loading the working element in a real soil environment. The possibility of constructing maps of the intensity of the friction surface abrasive wear, predictive calculations of structural elements was revealed. The third and fourth components were used to ensure the working element standard lifetime, based on the minimum production costs, correlated to the standard resource unit of development.(Conclusions) The resulting algorithm for constructing a digital twin is a convenient tool for creating new designs of agricultural tools working elements.

The fatigue analysis on orthotropic steel bridge decks is a hot topic in bridge engineering field. This study provides one method for fatigue analysis under the combined actions of vehicle loads and pavement temperature. To be specific, taking the steel bridge deck of one cable-stayed bridge as a research object, this study proposes a method of calculating life-cycle fatigue damage of orthotropic steel deck under the combined actions of vehicle loads and pavement temperature. First, a finite element model of steel bridge deck with asphalt pavement is built to analyze the influence of pavement temperature on the fatigue stress of steel bridge deck. Second, a simulation method of fatigue stress caused by random vehicle loads is proposed. Finally, a method of calculating the life-cycle fatigue damage of welded joints under the combined actions of vehicle loads and temperature is proposed. The results show that temperature has a significant effect on fatigue damage, and the cumulative fatigue damage in the rib-to-rib welded joint is significantly greater than that in the deck-to-rib welded joint. The results can provide meaningful references for bridge engineers to carry out fatigue analysis on orthotropic steel bridge decks.

In the hydraulic loading system, the performance of digital relief valve plays an important role in the dynamic response of load. However, the research on large-flow emulsion relief valve is still far from perfect. In this paper, digital relief valve is taken as the research object. Based on pilot-operated relief valve, a digital control scheme using a linear stepping motor is adopted to regulate the working pressure of relief valve. The structure of relief valve is analyzed and optimized from the aspects of dynamic and internal flow field characteristics to obtain a good working performance. To obtain its accurate working characteristic, the structural model and digital control system of relief valve are established by AMESim and Simulink, respectively, for electrohydraulic cosimulation. The results show that digital relief valve has a better characteristic of real-time dynamic pressure regulation. Therefore, the digital control system could improve the dynamic performance of relief valve, and the design of digital relief valve structure is reasonable and feasible. The simulation method employed in this paper provides a better theoretical basis and reference for the comprehensive research of digital large-flow emulsion relief valves based on the hydraulic loading system.

With the rapid development of the new media field, based on the high-speed perfor-mance of 5G networks, the development scale of mobile Internet online reading blowout has been realized. In modern conditions, the quality of data published in the media space requires careful analysis so that the consumer can consciously assess the reliability of the facts presented. This article takes the promotion content of digital reading in college libraries as the main research object, combined with the development environment of new media in the 5G era, and uses Douyin short video as the main promotion form to provide some insights and content for the current digital reading content in college libraries. idea. for reference only.

Benefited by e-commerce activities and information technology development, cross-border e-commerce (CBEC) has experienced rapid growth and attracted much research attention. This study takes China’s CBEC as a typical research object and intends to forecast its future development trend based on an exploration of its dynamic changing rules as a whole. The data set of transaction amounts of China’s CBEC from 2008 to 2018 was used in the modeling processes of improved grey models (GM) (1,1) proposed in this study, after which forecast results on the development of China’s CBEC from 2019 to 2020 were achieved. The experimental results reveal that, introducing the principle of new information priority to the improvement of grey models indeed works when forecasting a newly-emerging and vulnerable system like CBEC. Finally, it is predicted that China’s CBEC promises to continue to grow in the near future.

The ship movement is mainly affected by the circulation current in curve channel. In this paper, the curve circulation is taken as the research object, 3D model is established and scientific numerical simulation is carried out. In order to study and analyze the difference, three curve models with different bending degrees are established in this simulation. Finally, according to the simulation results, the measures for safe navigation are proposed.

Mobile promoters have their own way of attracting buyers during sale process. How promoters attract buyers is called probing, probing expertise is needed by the promoter handphone. If the expertise is lacking then the prmoters will lose the opportunity to make maximum sales and vice versa. Therefore predictions are very important to make to find out whether the results of the promoter's performance on Oppo sales are affected by probing or not. This research was conducted by applying the Markov chain method, with the research object area of Amplas (Ambarukmo Plaza) Yogyakarta. The results showed that probing had a significant effect on sales but had less effect on sales targets, with a prediction rate of 35% has increased from sales results.

Kebisingan dengan intensitas tinggi yang tidak disadari menyebabkan dampak yang serius bagi ABK serta ketidaknyamanan untuk setiap pekerja. Contoh kebisingan yang berpengaruh langsung pada kenyamanan pekerja antara lain dari main engine itu sendiri yang merupakan sumber kebisingan terbesar, exhaust gas outlet pada dek serta auxiliary machinery dan lain lain. Tujuan penelitian ini adalah untuk mengetahui kebisingan pada setiap tempat di kapal KN Prajapati. Metode yang dipergunakan adalah pengukuran secara langsung pada obyek penelitian. Hasil kebisingan kapal berkisar Antara 50 sampai 65 dB masih di bawah yang diperkenanlan IMO yaitu 65 dB dan Peraaturan Pmerintah Sebesar 60 dB, menunjukan bahwa kebisingan masih ambang batas yang diijinkan oleh IMO dan pemerintah.

The ever-changing battlefield environment requires the use of robust and adaptive technologies integrated into a reliable platform. Unmanned combat aerial vehicles (UCAVs) aim to integrate such advanced technologies while increasing the tactical capabilities of combat aircraft. As a research object, common UCAV uses the neural network fitting strategy to obtain values of attack areas. However, this simple strategy cannot cope with complex environmental changes and autonomously optimize decision-making problems. To solve the problem, this paper proposes a new deep deterministic policy gradient (DDPG) strategy based on deep reinforcement learning for the attack area fitting of UCAVs in the future battlefield. Simulation results show that the autonomy and environmental adaptability of UCAVs in the future battlefield will be improved based on the new DDPG algorithm and the training process converges quickly. We can obtain the optimal values of attack areas in real time during the whole flight with the well-trained deep network.

Our society is increasingly dependent on digital media. Socio-economic changes in Russia and the information explosion that has affected the whole world require a revision of traditional systems, content, methods and technologies of education in the context of various media usage. The purpose of this research is to theoretically substantiate, develop and experimentally prove tools for effective usage of digital media in the educational process of secondary schools in Russia. According to the purpose and hypothesis, the objectives of this research are: to define the essence, functions, didactic and educational possibilities of digital media; to identify pedagogical aspects of their usage in education; to determine structural components of teachers' readiness to using digital media in their work; to develop tools for using digital media in the educational process of secondary schools; to prove experimentally the effectiveness of the developed tools. The research object is the educational process of secondary schools under conditions of digitalization of the Russian education. The subject of this research covers tools of effective usage of digital media in the educational process of secondary schools. The methodological basis of this research was the philosophical concept of dialectical cognition as the basis of scientific pedagogy; the theory of system-complex and personal-activity approaches to the study of pedagogical phenomena, the integration concept of science, education, technology and production. Results: based on the analysis of theoretical sources on the use of digital media in education and the own diagnostic study, the author determined and experimentally tested possible ways of applying digital media as pedagogical tools taking into account their functional load: as means for transforming traditional tasks in a special form; as a teaching assistance instrument; as a communication means; as a reality modeling tool.

This study aims to map various research results of standard implementation about Revenue from Contracts with Customers (PSAK 72 in Indonesia and IFRS 15 in other countries) in order to find out the focus of research in terms of location of research object, research topics (perceptions, impacts, and problems), and position ( pros / cons) toward this standard. This study uses a qualitative method with a bibliographic approach. The objects used in this study are 22 research articles about implementation of PSAK 72 (IFRS 15). The results of mapping analysis show that the most discussed research topic is the impact. The focus of research that uses the topic of impact and perception is the preparers of financial statements. Meanwhile, research that uses the topic of problem has provided perspective from two sides (the preparers and the users of financial statements). The results of mapping analysis show that majority of the position of the research object toward the implementation of IFRS 15 is still unclear because it shows that the position is on two sides, the pros and cons.

This paper aims to explaining how was the behavior of music videos in China and online video platforms during the outbreak of COVID-19, which is related to the situation of COVID-19, were taken as the research object. Firstly, the data were collected and proceeded, then the time distribution, the types of the author, geographical distribution, theme, the types of music were gathered for data statistics. Secondly, this study analyzed the characteristics of the production and spread of these music videos, which were displayed visually. This research is library research. The author conducted in-depth studies related to various literacies that explain the objects and subjects of this study. Finally, this paper systematically analyzed the effect and influence of social literature and art in a public event.

National navies equip their submarines with Autonomous Underwater Vehicle (AUV) technology. It has become an important component of submarine development in technologically-advanced countries. Employing advanced and reliable recovery systems directly improves the safety and operational efficiency of submarines equipped with AUVs. In this paper, based on aerial refueling technology, a cone-shaped recovery system with two different guiding covers (closed structure and frame structure) is applied to the submarine. By taking the Suboff model as the research object, STAR-CCM was used to study the influence of the installation position of the recovery system, and the length of the rigid rod, on the Suboff model. It was found that when the recovery system is installed in the middle and rear of the Suboff model at the same velocity and the same length of the rigid rod, the Suboff model has the good stability and less drag. It experiences the largest drag when being installed in the front of the rigid rod. Moreover, when the recovery system is installed in the front and middle of the rigid rod, the drag increases as its length increases, and the lift decreases as its length increases. Compared with the closed structure guiding cover, the Suboff model will have less drag and better stability when the recovery system uses the frame structure guiding cover. Besides, the deflection and vibration of the rigid rod were also analyzed via mathematical theory.

This study aims to analyze the material in the book al-'Arabiyah Baina Yadaik by Dr. Abdurrahman bin Ibrahim AlFauzan, Dr. Mukhtar At-Thahir Hasin, and Dr. Muhammad Abdul Khaliq Muhammad Fadhli with the principle approach to the development of material and wants to reveal the advantages of material design. This research is a library research with al-’Arabiyah Baina Yadaik's research object. The study was conducted using the method of observing books that were observed both primary and secondary. Meanwhile, to analyze the data the researcher used content analysis techniques. The results of this study indicate that this book is feasible and appropriate to be used as teaching material in Arabic for non-Arabic speakers. the advantages of al-'Arabiyah Baina Yadaikyaitu's book (1) introducing modern theories in Arabic teaching (2) using easy and gradual methods (3) applying language skills: hearing, speech, reading, and writing (4) providing optional tests according to level (5) is supplemented with supporting materials that help the learning program (6) suitable for all levels (elementary, middle, tertiary) both young and old who want to quickly master Arabic. As for the shortcomings of this book, there is no interesting picture (visualization) that can foster its own motivation in studying the book.

To provide supporting tools for the community life circle scientific planning and efficient management, the paper takes the urban central area as the research object, and constructs the community life circle database based on multi-source data fusion. High-resolution remote sensing technology and mobile internet complement traditional planning institute data and provide effective ways to obtain multi-source data. When multi-source data describes the same feature, the data content could be repetitive or conflicting, which causes the data to be inaccurate. Multi-source data fusion coordinates repetitive or conflicting data contents, and forms a unified, accurate and useful description on the same feature. The results: (1) Land use, building, supporting facility, and road are important construction elements of community life circle. (2) The planning institute, Baidu place API interface and high-resolution remote sensing technology are the main data acquisition channels. The Baidu POI data is an effective supplement to planning institute facility data. (3) Based on the high-resolution remote sensing images change detection and vector extraction technology, the paper updates planning institute building data. The new information technology has enriched the data sources, the paper contributes to take full advantage of multi-source data and improve the reality, completeness and accuracy of database.

With the continuous development of social economy, private cars have become more and more, and the traffic pressure is also increasing. To more accurately recognize vehicles violating traffic rules, the problem of recognition and optimization of license plate targets has become an urgent task with certain practical significance and guiding significance. In this paper, the license plate recognition (LPR) system is taken as the main research object, which is improved and optimized. Firstly, an improved neural network model is established by applying the improved convolutional neural network (CNN) algorithm to the license plate recognition system and based on the improved activation function, and the relevant experimental results are obtained; meanwhile compared with the traditional CNN model, the corresponding experimental results are obtained; finally, the experimental conclusions are obtained, i.e., the LPR system using improved CNN algorithm has better performance in recognizing license plate target and can more accurately recognize licence plates which are shielded. Therefore, the improved neural network model has great development potential in the application of the LPR system.

Surrogate models are often used as surrogates for computationally intensive simulations. And there are a variety of surrogate models which are widely used in aerospace engineering–related investigation and design. In general, there is an optimal individual surrogate for a certain research object. However, the behavior of an individual surrogate is unknown in advance. Building an ensemble of surrogates by combining different individual surrogates into a weighted-sum formulation is an efficient method to enhance the accuracy and robustness of the surrogate model. Motivated by the previous researches on the ensemble of surrogates, we propose an optimal pointwise weighted ensemble (OPWE) method, wherein the optimal pointwise weight factors are obtained based on the minimization of the local mean square error which is constructed by the global-local error (GLE). By using six well-known mathematical problems and four engineering problems, it is proved that the OPWE proposed in this paper is better than the other ensembles of surrogates in terms of both accuracy and robustness.

In this article, the three-phase asynchronous motor is taken as the research object, and the deadbeat predictive control is the control core, and its control performance is studied. Considering the overshoot of flux linkage and speed response in deadbeat predictive control, an improved deadbeat predictive control algorithm based on synergy theory is proposed. Different from deadbeat predictive control, improved deadbeat predictive control can control the flux linkage and speed independently through two adjustment parameters, which are achieved through the manifold of synergy theory. To accurately obtain the feedback flux linkage and load torque in the control, a flux observer and a load torque observer are designed. Based on these, a simulation platform is built, and the control performance of the two control algorithms is compared. The robustness of the two control algorithms is further verified by changing parameters. Finally, the experimental platform of three-phase asynchronous motor is built in this article. The experimental program based on deadbeat predictive control is designed. The no-load experiment and loading experiment are carried out, respectively. The feasibility of the algorithm is verified by experimental data.

This paper aims to provide effective and complete electronic evidence of telecom fraud activity for public safety agency. We proposed telecom fraud activity computer forensics platform architecture based on the characteristics of telecom operator data. The telephone fraud and SMS fraud were taken as the research object. The electronic evidence table of telecom fraud activities was generated. An electronic evidence analysis algorithm for telecom fraud activities was proposed. Dataset was analyzed from two aspects of user characteristics and fraud types. From the analysis results, it is known that there are more types of telecom fraud that require further analysis and research, in addition to telephone fraud and SMS fraud.

A solution of spectroscopic inverse problems, implying determination of target parameters of the research object via analysis of spectra of various origins, is an overly complex task, especially in case of strong variability of the research object. One of the most efficient approaches to solve such tasks is use of machine learning (ML) methods, which consider some unobvious information relevant to the problem that is present in the data. Here, we compare ML approaches to the problem of nanocomplex concentrations determination in human urine via optical absorption spectra, perform preliminary analysis of the data array, find optimal parameters for several of the most popular ML methods, and analyze the results.

With the rapid development of information technology, how to use big data for effective analysis has become a hot research topic in various industries. The use of DEA can effectively deal with the bias problem caused by the functional relationship between variables. This study takes various types of hospitals in Fuzhou as the research object, and aims to make an evaluation of the operational efficiency. We use the DEA method to handle the input-output data of various types of hospitals publicly released by the Fuzhou City Bureau of Statistics. The results show that the scale efficiency of various types of hospitals in Fuzhou City is on the whole decreasing trend, and the blind expansion of the scale of comprehensive hospitals has led to the decrease of efficiency. This study proves that DEA is an effective way to deal with big data.

The establishment of applied talents cultivation mode has become the focus of the development of private colleges and universities, and the reform of teaching mode has also become an important aspect of the transformation of applied talents cultivation. In view of the disadvantages of the traditional classroom teaching mode, the reform is inevitable. The flipped classroom teaching mode provides new ideas and methods for the cultivation of Applied Talents in Colleges and universities. This paper takes Access Database as the research object to study the teaching mode of flipped classroom, and through teaching practice, compares the teaching effect of traditional teaching methods and flipped classroom. Practice has proved that the flipped classroom teaching mode can stimulate students' interest in learning, improve their autonomous learning ability, and improve their understanding and mastery of the course content.

With the continuous development of information technology, the hybrid teaching model has become a trend, and it has been widely used in the field of education in our country. This article takes the hybrid classroom oriented to the smart classroom as the research object, and conducts research from the three aspects of smart classroom, traditional classroom and teaching management, and summarizes the problems and shortcomings of the current teaching management process in colleges and universities, and elaborates the hybrid classroom oriented to the smart classroom. It has advantages in assisting college students' learning; finally, according to these situations, some improvement measures and suggestions are put forward for reference and use in teaching practice, so that Chinese universities can achieve more significant development results in information technology and subject basic knowledge.

In recent years, with the improvement of the automation level of special vehicles and the explosive growth of the information available on the battlefield, higher requirements have been put forward for occupants’ cognitive level and performance. The first problem is how to master the cognitive state law of the occupant of the special vehicle system in real-time, that is, how to solve the cognitive state recognition problem. In this paper, the representation methods of occupant's situational awareness in physiological and performance aspects were studied by virtual simulation experiments, and the man-machine system of automated special vehicles was taken as the research object. The results show that the level of situational awareness and performance of special vehicle members are significantly increased under the condition of partial task automation; that is, the level of the cognitive state is improved.

Based on the complicated environment of the current electric power marketization reform and the policy requirements of improving the quality and efficiency of state-owned enterprises, we selected the power grid enterprises as the research object in this paper. Simultaneously, the evaluation for economic activities of them is also studied. On the basis of the full consideration of their characteristics, a comprehensive evaluation indicator system of economic activity is constructed. The comprehensive evaluation for economic activities of the power grid enterprises is conducted based on the improved combined weighting matter-element model (ICWME). The real example analysis shows that the improved model can effectively improve the reliability of evaluation results. The scientific comprehensive evaluation for economic activities of power grid enterprises is achieved, which can provide scientific direction guidance and method guidance for future development planning of enterprises.

As the most popular smart social software at present, WeChat is increasingly used in the field of education, which has had a profound impact on teaching and learning in the information age. The WeChat public platform breaks the boundaries of time and space, allows learning and exchanges anytime, anywhere, and gradually realizes informatized teaching and lifelong learning. This article uses literature research methods and logical analysis research methods, takes college physical education as the research object, analyzes related problems in college physical education at this stage, and attempts to apply WeChat public teaching platform practice research, combined with relevant theoretical knowledge, provide new ideas and new methods for college physical education information teaching.

The air quality is directly related to people’s lives. This paper selects air quality data of Sichuan Province as the research object, and explores the inherent characteristics of air quality from the perspective of complex network theory. First, based on the complexity of network topology and nodes, a community detection algorithm which combines the clustering idea with principal component analysis (PCA) algorithm and self-organization competitive neural network (SOM) is designed (CSP). Compared with the classic community detection algorithm, the result proves that the CSP algorithm can accurately dig out a better community structure. Second, based on the strong correlation distance and strong correlation coefficient of the air quality network, the Sichuan Air Quality Complex Network (SCCN) was constructed. The SCCN is divided into five communities using the CSP algorithm. Combining the characteristics of each community and the Hurst coefficient, it is found that the air quality inside the community has long-term memory. Finally, based on the idea of time-dependent cross-correlation, this paper analyzes the cross-correlation of AQI time series of different stations in each community, constructs a directed air quality cross-correlation network combined with complex network theory, and locates the important pollution sources in each region of Sichuan Province according to the topological structure of the network. The work of this paper can provide the corresponding theoretical support and guidance for the current environmental pollution control.

It is one of the key steps of unmanned aerial vehicles (UAVs) autonomously cruising to touch down the distributed airport automatically and accurately. The ground-effect wind field is one of the main factors to influence the touching down precision of UAV. In order to explore how much the ground-effect wind field influence the touching down precision, this paper chooses a quadrotor UAV with 400mm diameter as the research object, establishes the model of UAV and the ground-effect wind field, analyzes the touching down results while the distributed airport is at the opening and flat scene, the scene with single-sided vertical obstacle and the scene with bi-symmetrical vertical obstacles respectively. The experimental results show that: (1) there is little affection on the accuracy of touching down when the distributed airport is at the opening and flat scene. (2) The ground-effect wind field has great affection on the accuracy of touching down when the distributed airport is at the scene with single-sided vertical obstacle. If the distance between the UAV and the single-sided vertical obstacle is less than 1 meter, the UAV is very easy to overturn. (3) When the distributed airport is at the scene with bi-symmetrical vertical obstacles, the accuracy of touching down is decided by the height of the vertical obstacle. The investigation of this paper is very significant to select the location of distributed airport.

MOOCs (Massive Open Online Courses) users continue to rise in number globally, and accordingly, the electronic word of mouth (eWOM) for MOOCs is an important source of information for MOOCs learners, but research on the effects of MOOCs eWOM is still lacking. Therefore, from the perspective of group size and group recognition in the MOOCs online review forum and the internal relationships in the MOOCs course learning forum, this paper studies the influence mechanism of MOOCs eWOM on the number of registrations and completions. First, according to the literature review, based on the number of online reviews, the online rating valence and eWOM publishers in the MOOCs online review forum, as well as the number of posts and the number of teaching assistants in the MOOCs course learning forum, research hypotheses are proposed in this study to construct a conceptual model. Second, Coursera is the typical MOOCs platform that is selected as the research object to obtain data from November 2018 to August 2019. Third, after preprocessing the data, on the basis of the Hausman test, the corresponding fixed effect of an econometric model is established, and Stata is used to process the data to verify the research hypotheses. Finally, according to the research conclusions related to eWOM, to improve the number of registrations and completions of MOOCs, development suggestions are proposed for MOOCs platform providers and MOOCs course providers, as well.

Accessibility is a major component in the physical planning of an area. Good physical planning must include important components including facilities for persons with disabilities to be used by all people. The downtown area of Palembang is a strategic area of Palembang city that needs to be assessed on the connectivity index. The research object used is public facilities that are used as connectivity between buildings. This assessment was carried out aiming to determine the completeness of existing facilities and the feasibility of accessibility between buildings. The assessment is carried out by identifying existing facilities and to determine the level of completeness of the facilities through the scoring method. The connectivity index analysis was carried out based on these results to determine the feasibility of the facility and the feasibility of accessibility in the region. The results obtained from the connectivity index analysis are the level of accessibility between buildings. The level of accessibility is carried out classification based on the connectivity index to determine the feasibility of accessibility between buildings. Based on these results, there are four feasibility classifications in the central area of Palembang. Two roads are categorised as very feasible, five roads are decent, five road segments are less feasible and one road is not feasible.

In order to adapt to the passenger demand after urban subway new line operation, and improve the operational efficiency of the bus lines along subway, the adjustment method of bus lines is studied. Taking the HuangHe Rd. segment with Dalian Metro Line 2 as the research object, the passenger volumes of every main traffic mode before and after subway operation were investigated respectively. By mathematical statistics method, the characteristics of passenger volume transferring among the bus, car and subway before and after operation were compared and analyzed. Based on the theory of random utility, not only the Logit model of traffic mode selection before and after subway operation was constructed, but also the calibration method of model parameter was proposed. The adjustment method of bus lines along subway was proposed. The calculation and analysis of application in the case was also conducted. The research indicates that, after subway operation, the passengers undertaken by car and bus along the subway will be attracted by subway to some extent. To adjust the bus lines according to the characteristic of passenger transferring can improve the operational efficiency of the bus lines along subway.

This study aims to build an application that serves to monitor violations committed by students on the research object, namely SMA Negeri 10 Pekanbaru State High School, the appointment of the title of this study is based on the found cases where parents do not know the violations committed by their children at school, because each violation has points assessment and if the research points have reached the maximum value, parents will be summoned, from information obtained from the school, parents will feel disappointed if they are called to school because their children have committed many violations, therefore an application is built so that parents can monitor the extent of their children violating. the application is built based on the web so that it can be accessed anytime and anywhere, the method of software development uses the waterfall method, the design is done using UML diagrams for modeling the application.