大数据视域下的国产影视剧创作

无论人们觉察与否,大数据时代已经来临,我们无刻不身处大数据的海洋之中。人们把大数据时代称之为继农耕时代、工业时代后的"第三次浪潮的华彩乐章"。2013年被公推为大数据元年。"大数据"是一种"以成本耗费低创新能力高的模式用以提升洞察力增强决断力的容量大速度快种类多的信息资产"。2013年美国奈飞公司(Netflix)巧借大数据成功创作了电视剧《纸牌屋》之后。

Features and correct application of coal vitrinite reflectance index

The law of mathematical statistics, which the coal vitrinite reflectance index obeys, the existing vitrinite representing deviations, and the advantages of judging coalification and the shortage of judging coal type were analyzed. The advantages and disadvantages of various determination methods and the expression index and different methods of identifying vitrinite on the determination results were compared. The vitality of coal vitrinite reflectance depends on its full play the unique function of reflectance histogram and the systematic errors between different determination methods do not affect the application based on reflectance histogram are considered.

Regression-Based Artificial Neural Network Methodology in Response Surface Methodology

Response surface methodology (RSM) is an important tool for process parameter optimization, robust design and other quality improvement efforts. When the relationship between influential input variables and output response is very complex, it’s hard to find the real response surface using RSM. In recent years artificial neural network(ANN) has been used in RSM. But the classical ANN does not work well under the constraints of real applications. An algorithm of regression-based ANN(R-ANN) is proposed in this paper, which is a supplement to the classical ANN methodology. It makes network closer to the response surface, so that training time is reduced and robustness is strengthened. The procedure of improving ANN by regressions is described and the comparisons among R-ANN,RSM and classical ANN are computed graphically in three examples. Our research shows that the R-ANN methodology is a good supplement to the RSM and classical ANN methodology, which can yield lower standard error of prediction under conditions that the scope of experiment is rigidly restricted.

Analysis of the Synoptic Situation Field on the Red Tide Occurred in Yangtze River Estuary Water Area

The occurrence of the red tide is an extremely complex process, which is considered as the comprehensive result of various factors. The Yangtze River estuary water area is always in high incidence area of red tide. In this paper, according to the events of red tide and meteorologic and hydrologic data in Yangtze River estuary water area from 2000 to 2010, by using mathematical statistics methods, we analyze the relevance between the occurrence of the red tide and the synoptic situation field, and probe into the regular patterns.

A TREND DISPLACEMENT ANALYSIS FOR SPACE AND TIME ON XINTAN LANDSLIDE

This paper, having made systematic trend analysis on the front and rear segments of Xintan landslide for space and time respectively by using matbematical statistical principles,discovered that there is obvious trend displacement Of the monitoring points in the rear margin area of the slope and the rates of trend displacement gradually increase with time whereas there is no trend displacement of the monitoring points in the front margin area. This result suggests that the rear margin area of segment is an area of overall sliding and is transforming towards destabilization whereas the front margin area is an area of relative stability. This analytical result well coincides with the conclusion of evaluation on dynamic stability. The analytical result mentioned above shows that the medium to short term forecast and prediction of slope stability can be made by using trend displacement analysis technique in order to achieve the goal of timely evaluation and prevention.

Differences inthe Level of Social Status of Male and Female Folk Dancers

The research was conducted in order to determine differences in the social status structure of male and female performers of folk dances. For the purpose of determining the social status structure of male and female dancers, 103 male and 145 female dancers aged 18-28 actively engaged in folk dancing were tested. For the assessment of social status, only one model that allows for true scientific approach to studying the structure of stratification dimensions has been made so far. The model was constructed by Saksida and later served as a basis for many studies conducted by other authors as well （Saksida, Caserman, Petrovic, Momirovic, and Hosek）. Designed as a phenomenological model, it has undergone several changes over time, but it is still suitable for studying social change. The INST2 questionnaire modified by Boli, Popovic, Hosek, Momirovic, and Savic （SSMIN） was applied in this study. All the data obtained in this research were processed at the Multidisciplinary Research Center of the Faculty of Sport and Physical Education, University of Pristina, through the system of data processing programs designed by D. Popovic and K Momirovic. To determine differences between the groups, a method of discriminant analysis was applied.

Design and Implementation of English Teaching Management System Based on Web

In order to improve the intelligence of the English teaching management, so as to improve the English teaching resource scheduling and sharing ability, a design method of teaching management system is proposed based on Web. The system adopts Web network architecture design, mainly it is divided into MUC main control module, database module, data management module and man-machine interaction module, Network management and online scheduling of English teaching resources are obtained based on C/S framework, data exchange of English teaching resources is realized on client side and server side, the control component of the English teaching resource distribution database uses MBM29LV400BC as the logic decoding controller. The intelligent algorithm is used to analyze the big data to realize the scheduling and access control of the English teaching management system resources. The test results show that the design of the English teaching management system has good resource scheduling and database construction ability, and the overall intelligence of the system is better.

Statistical Analysis and Energy Planning of Electric Power Supply Systems with Intelligent Control

The study presents possibilities for reconstruction of electric power supply systems in Bulgarian Black Sea resorts and possibilities to use statistical methods in energy planning. The paper shows the use of classic statistical methods in combination with advanced digital measurement systems in order to obtain the correlation dependencies, nature of energy consumption and opportunities for energy forecasting. The main purpose of the study is to obtain statistical dependencies of the nature of power consumption and correlations between electricity consumption and ambient temperature in order to improve the accuracy of energy planning. The analysis includes application of energy management systems for proper energy planning, improving economical efficiency and reducing power and energy losses.

Progress on quantitative assessment of the impacts of climate change and human activities on cropland change

It is important to study the contributions of climate change and human activities to cropland changes in the fields of both climate change and land use change. Relationships between cropland changes and driving forces were qualitatively studied in most of the previous researches. However, the quantitative assessments of the contributions of climate change and human activities to cropland changes are needed to be explored for a better understanding of the dynamics of land use changes. We systematically reviewed the methods of identifying the contributions of climate change and human activities to cropland changes at quantitative aspects, including model analysis, mathematical statistical method, framework analysis, index assessment and difference comparison. Progress of the previous researches on quantitative evaluation of the contributions was introduced. Then we discussed four defects in the assessment of the contributions of climate change and human activities. For example, the methods were lack of comprehensiveness, and the data need to be more accurate and abundant. In addition, the scale was single and the explanations were biased. Moreover, we concluded a clue about quantitative approach to assess the contributions from synthetically aspect to specific driving forces. Finally, the solutions of the future researches on data, scale and explanation were proposed.

Approximating Stationary Statistical Properties

It is well-known that physical laws for large chaotic dynamical systems are revealed statistically.Many times these statistical properties of the system must be approximated numerically.The main contribution of this manuscript is to provide simple and natural criterions on numerical methods (temporal and spatial discretization) that are able to capture the stationary statistical properties of the underlying dissipative chaotic dynamical systems asymptotically.The result on temporal approximation is a recent finding of the author,and the result on spatial approximation is a new one.Applications to the infinite Prandtl number model for convection and the barotropic quasi-geostrophic model are also discussed.