Romantic Narrative in the Film The Battle at Lake Changjin

Chen Kaige, a famous Chinese “scholar-type director”, usually contains rich cultural connotations in his films and his works are always full of Chen Kaige-style romanticism. Although he is good at narrative, making The Battle of Changjin Lake a pure war film is a challenge. Therefore, this article takes the film as the research focus. The analysis of aesthetic elements, such as scenes and scope, picture composition, color and so on, expounds into detail the narrative style of romanticism displayed by Chen Kaige in the film

Weak Signal Detection Based on Adaptive Cascaded Bistable Stochastic Resonance System

AbstractStochastic resonance system is an effective method to extract weak signal, however, system output is directly influenced by system parameters. Aiming to this, a method about weak periodic signal extraction was developed based on adaptive stochastic resonance. Firstly cascaded stochastic resonance system was established in order to achieve better low-pass filtering effect. And then, variance of zero point distance was chosen as measurement index of cascade system. It's able to overcome the shortage that traditional adaptive stochastic resonance system needs to know the signal frequency beforehand. Also, it could obtain optimum system parameters adaptively. Basing on these parameters, input signal will be handled, and optimum output could be obtained. Furthermore, different periodic signal have been recognized, and finally the validity of the method is verified through simulation experiments

Research and development talents training in China universities - based on the consideration of education management cost planning

Research and development (R&D) talents training are asymmetric in China universities and can be of great significance for economic and social sustainable development. For the purpose of making an in-depth analysis in the education management costs for R&D talents training, the belief rule-based (BRB) expert system with data increment and parameter learning is developed to achieve education management cost prediction for the first time. In empirical analysis, based on the BRB expert system, the past investments and future planning of education management costs are analyzed using real education management data from 2001 to 2019 in 31 Chinese provinces. Results show that: (1) the existing education management cost investments have a significant regional difference; (2) the BRB expert system has excellent accuracy over some existing cost-prediction models; and (3) without changing the current education management policy and education cost input scheme, the regional differences in China’s education management cost input always exist. In addition to the results, the present study is helpful for providing model supports and policy references for decision makers in making well-grounded plans of R&D talents training at universitie

The Extended Multiple G

An extended multiple G′/G-expansion method is used to seek the exact solutions of Caudrey-Dodd-Gibbon equation. As a result, plentiful new complexiton solutions consisting of hyperbolic functions, trigonometric functions, rational functions, and their mixture with arbitrary parameters are effectively obtained. When some parameters are properly chosen as special values, the known double solitary-like wave solutions are derived from the double hyperbolic function solutions

Abnormal Degree Centrality Associated With Cognitive Dysfunctions in Early Bipolar Disorder

Delayed diagnosis of bipolar disorder (BD) is common. However, diagnostic validity may be enhanced using reliable neurobiological markers for BD. Degree centrality (DC) is one such potential marker that enables researchers to visualize neuronal network abnormalities in the early stages of some neuropsychiatric disorders. In the present study, we measured resting-state DC abnormalities and cognitive deficits in order to identify early neurobiological markers for BD. We recruited 23 patients with BD who had recently experienced manic episodes (duration of illness <2 years) and 46 matched healthy controls. Our findings indicated that patients with BD exhibited DC abnormalities in frontal areas, temporal areas, the right postcentral gyrus, and the posterior lobe of the cerebellum. Moreover, correlation analysis revealed that psychomotor speed indicators were associated with DC in the superior temporal and inferior temporal gyri, while attention indicators were associated with DC in the inferior temporal gyrus, in patients with early BD. Our findings suggest that DC abnormalities in neural emotion regulation circuits are present in patients with early BD, and that correlations between attention/psychomotor speed deficits and temporal DC abnormalities may represent early markers of BD

The (G′/G)-Expansion Method and Its Application for Higher-Order Equations of KdV (III)

New exact traveling wave solutions of a higher-order KdV equation type are studied by the (G′/G)-expansion method, where G=G(ξ) satisfies a second-order linear differential equation. The traveling wave solutions are expressed by the hyperbolic functions, the trigonometric functions, and the rational functions. The property of this method is that it is quite simple and understandable

A TDMA based media access control protocol for wireless ad hoc networks

Conference Name:2012 5th International Conference on Machine Vision: Algorithms, Pattern Recognition and Basic Technologies, ICMV 2012. Conference Address: Wuhan, China. Time:October 20, 2012 - October 21, 2012.Science and Engineering InstituteThis paper presents a novel Time Division Multiplex Access (TDMA) based Media Access Control (MAC) protocol of wireless Ad Hoc network. To achieve collision free transmission, time slots in a MAC frame are cataloged into three types, that is access slot, control slot and traffic slot. Nodes in the network access to the network in the access slot, and an exclusive control is allocated subsequently. Data packets are transmission by dynamic schedule the traffic slots. Throughput and transmission delay are also analyzed by simulation experiment. The proposed protocol is capable of providing collision free transmission and achieves high throughput. ? 2013 SPIE

Performance Testing of Micro-Electromechanical Acceleration Sensors for Pavement Vibration Monitoring

Pavement vibration monitoring under vehicle loads can be used to acquire traffic information and assess the health of pavement structures, which contributes to smart road construction. However, the effectiveness of monitoring is closely related to sensor performance. In order to select the suitable acceleration sensor for pavement vibration monitoring, a printed circuit board (PCB) with three MEMS (micro-electromechanical) accelerometer chips (VS1002, MS9001, and ADXL355) is developed in this paper, and the circuit design and software development of the PCB are completed. The experimental design and comparative testing of the sensing performance of the three MEMS accelerometer chips, in terms of sensitivity, linearity, noise, resolution, frequency response, and temperature drift, were conducted. The results show that the dynamic and static calibration methods of the sensitivity test had similar results. The influence of gravitational acceleration should be considered when selecting the range of the accelerometer to avoid the phenomenon of over-range. The VS1002 has the highest sensitivity and resolution under 3.3 V standard voltage supply, as well as the best overall performance. The ADXL355 is virtually temperature-independent in the temperature range from −20 °C to 60 °C, while the voltage reference values output by the VS1002 and MS9001 vary linearly with temperature. This research contributes to the development of acceleration sensors with high precision and long life for pavement vibration monitoring

Modeling total drag force exerted on particles in dense swarm from experimental measurements using an inline image-based method

It is of significance but still a great challenge to model drag force exerted on particles in dense systems directly from experimental measurements. In this work, a new procedure using inline experimental measurements is developed to establish a total drag model. Specifically, local flow characteristics including slip velocity, particle holdup and particle acceleration are measured simultaneously using an inline vision probe. Then, the total drag coefficient exerted on particles in suspension is calculated using the inline data with the unsteady motion of particles taken into account. At last, the total drag coefficient versus five dimensionless numbers including all important factors are correlated as C-D = 3.55 x 10(-2)rho(-1.82)(r) (ArRel0.45)-Re-0.53 Re-1.79 alpha(-0.49)(P). Systematically evaluated using the image-based results in this work and PEPT data in the reference as well as Tang model, Gidaspow model and Brucato model popularly used in suspensions, the newly developed model shows some excellent characteristics. (i) It can predict flow field and solid holdup distributions with sufficient accuracy in a wider range of holdups from dilute to dense systems. (ii) Especially, the prediction precision is significantly higher (with deviation of 5.6%) in the holdup distribution compared to Gidaspow model, Brucato model and Tang model. (iii) Furthermore, better mass conservation is always kept during the simulation process compared to the other three models. It is preliminarily inferred that some particles are not fully suspended due to the smaller drag force in the case of Gidaspow model. More studies are still needed to explain quantitatively the above evaluation results