A Study on the Role of Music in Documentary Films

Wen Tao,고정훈 한국상품문화디자인학회 2022 상품문화디자인학연구 Vol.71 No.-

The art of film is a comprehensive art. With the lens as the basic unit, with the picture and sound as the main form of expression, through the means of picture editing and audio-visual montage, create a variety of screen images to reflect the material reality of the world and human spiritual life. Film art is made up of visual parts, auditory parts and associative parts. Documentary video art, known as documentary by the general audience, is the art form closest to the real life state in the film art. Music plays an important role in the expression of documentary image art. However, compared with people's attention to visual effects, ordinary people as audiences often ignore the role of music. This phenomenon will feed back to the creators and affect the creators' creation of music in the process of creation. In fact, music is one of the oldest and most abundant ideographic elements. In the primitive stage, the expression of all thoughts and opinions in human society is based on sound, and music plays a greater role in the expression of sound. In the process of documentary image art creation, the role of music goes far beyond the general sense of showing plot and rendering atmosphere. Through the analysis of music in the process of documentary image art creation, the paper studies the rich functional performance of music in documentary image art, in-depth analysis of the diversified role music can play in the process of documentary image art creation, so as to explore more possibilities of music creation and use in documentary image art creation. And summarize the role of music in the creation of documentary video art.

Synchronous Periodic Frequency Modulation Based on Interleaving Technique to Reduce PWM Vibration Noise

Wentao Zhang,Yongxiang Xu,Jingwei Ren,Jianyong Su,Jibin Zou 전력전자학회 2019 JOURNAL OF POWER ELECTRONICS Vol.19 No.6

Ear-piercing high-frequency noise from electromagnetic vibrations in motors has become unacceptable in sensitive environments, due to the application of pulse width modulation (PWM) and in consideration of switching losses. This paper proposed a synchronous periodic frequency modulation (SPFM) method based on the interleaving technique for paralleled three-phase voltage source inverters (VSIs) to eliminate PWM vibration noise. The proposed SPFM technique is able to effectively remove unpleasant high-frequency vibration noise as well as acoustic noise more effectively than the conventional periodic carrier frequency modulation (PCFM) and interleaving technique. It completely eliminates the vibration noise near odd-order carrier frequencies and reduces the PWM vibration noise near even-order carrier frequencies depending on the switching frequency variation range. Furthermore, the SPFM method is simple to implement and does not employ additional circuits in the drive system. Finally, the effectiveness of the proposed method has been confirmed by detailed experimental results.

The Properties of Epoxy Resins Modified by Tetrapod-like Zinc Oxide Whiskers under Powerful Shear Force Field

Wentao Hu,Xiehuai Luo,Zheng Yan 한국고분자학회 2017 폴리머 Vol.41 No.6

The effects of epoxy composites (EP) filled with tetrapod-like zinc oxide whiskers (T-ZnOw) were investigated in this study. The composites were blended by a self-regulation powerful shear mixer at different mixing clearances. The microstructure, curing behavior, mechanical performance, thermal and electrical properties were examined. The results showed that the particles of T-ZnOw are dispersed more uniformly in the epoxy matrix mixed by the powerful shear mixer compared with those mixed by the traditional mixing method. Both the initial reaction of extrapolation temperature (T0) and the peak temperature (Tp) enlarge with the augment of the clearance (δ). The range of curing temperature narrows down. ΔH, tensile and impact strength of composites decreases with the increasing of δ.

Auxiliary Model-based Continuous Mixed p-norm Algorithm for Output-error Moving Average Systems Using the Multi-innovation Optimization

Wentao Liu,Weili Xiong 제어·로봇·시스템학회 2024 International Journal of Control, Automation, and Vol.22 No.1

This paper discusses the parameter estimation problems for the output-error moving average (OEMA) systems under stochastic environments. The estimation problems with unknown inner variables and unmeasurable noise terms existed in the information vector are solved by the auxiliary model framework. Meanwhile, the algorithms utilize the continues mixed p-norm (CMPN) method to control the proportions of the error norms, which take into account each p-norm of errors for 1 6 p 6 2. To improve the identification accuracy further, a multiinnovation CMPN optimization algorithm is developed by expanding the scalar innovation to the innovation vector. The proposed optimal algorithms offer faster tracking speed and can obtain higher parameter estimation accuracy for both stochastic white noise and α-stable noise. Two examples of identification of OEMA systems are given to validate the theoretical analysis.

Identification of ARX Model with Multi-Gaussian Noises

Wentao Bai,Fan Guo,Lei Chen,Kuangrong Hao,Biao Huang 제어로봇시스템학회 2019 제어로봇시스템학회 국제학술대회 논문집 Vol.2019 No.10

In most industrial environments, the real process data points are usually subject to contamination from a variety of noises. Most of the traditional methods assume that the process noise is Gaussian white noise, which can lead to poor robustness of the model to abnormal data. In this paper, we consider an ARX model with multi-Gaussian white noises, assuming that the collected data is affected by different noise models and switching of noise model follows Markov chain probability. The parameters of the model are estimated by Expectation-Maximization (EM) algorithm. A numerical example and a continuous stirred tank reactor are employed to verify the effectiveness of the proposed algorithm.

Decaffeination of coffee bean waste by solid-liquid extraction

Wentao Bi,노경호,Jun Zhou 한국화학공학회 2011 Korean Journal of Chemical Engineering Vol.28 No.1

Many residues of plants are hydrolyzed to prepare polysaccharides and monosaccharide by bio-methods. Coffee bean waste is emerging as a new feed for producing these carbohydrates, but the appearance of caffeine in coffee bean waste prevents the enzymatic or bacterial hydrolysis. In this case, several solvents were used to remove the caffeine from the coffee waste as well as optimizing the conditions. Ethanol/water (50/50, v/v) at 80 ℃ was found to be the best condition for caffeine removal.

Grafting of poly(ethylene glycols) onto nanometer silica surface by 1,4-phenylene diisocyanate

Wentao Zhang,Hong-Ro Lee 한국표면공학회 2010 한국표면공학회 학술발표회 초록집 Vol.2010 No.5

Polyethylene glycol (PEG) molecules have been grafted onto the surface of nanometer silica intoluenebyusing1,4-phenylene diisocyanate (PPDI) as a coupling agent, and dibutyltion dilaurate (DBTDL) as a catalyst. This process was executed by using a one-step procedure involving a first reaction of PPDI with silica and a subsequent reaction of isocyanate-bound silica with PEG. Optimum grafting conditions of PEG were obtained at the temperature of 80 ℃ for 8 h. Maximum grafting of PEG molecules ratio was 22.6%, and maximum overall grafting ratio was 35%, as determined by TGA.

An Improved Adaptive Scheduling Strategy Utilizing Simulated Annealing Genetic Algorithm for Data Center Networks

( Wentao Wang ),( Lingxia Wang ),( Fang Zhen ) 한국인터넷정보학회 2017 KSII Transactions on Internet and Information Syst Vol.11 No.11

Data center networks provide critical bandwidth for the continuous growth of cloud computing, multimedia storage, data analysis and other businesses. The problem of low link bandwidth utilization in data center network is gradually addressed in more hot fields. However, the current scheduling strategies applied in data center network do not adapt to the real-time dynamic change of the traffic in the network. Thus, they fail to distribute resources due to the lack of intelligent management. In this paper, we present an improved adaptive traffic scheduling strategy utilizing the simulated annealing genetic algorithm (SAGA). Inspired by the idea of software defined network, when a flow arrives, our strategy changes the bandwidth demand dynamically to filter out the flow. Then, SAGA distributes the path for the flow by considering the scheduling of the different pods as well as the same pod. It is implemented through software defined network technology. Simulation results show that the bisection bandwidth of our strategy is higher than state-of-the-art mechanisms.

Selecting the Optimal Hidden Layer of Extreme Learning Machine Using Multiple Kernel Learning

( Wentao Zhao Pan Li ),( Qiang Liu Dan Liu ),( Xinwang Liu ) 한국인터넷정보학회 2018 KSII Transactions on Internet and Information Syst Vol.12 No.12

Extreme learning machine (ELM) is emerging as a powerful machine learning method in a variety of application scenarios due to its promising advantages of high accuracy, fast learning speed and easy of implementation. However, how to select the optimal hidden layer of ELM is still an open question in the ELM community. Basically, the number of hidden layer nodes is a sensitive hyperparameter that significantly affects the performance of ELM. To address this challenging problem, we propose to adopt multiple kernel learning (MKL) to design a multi-hidden-layer-kernel ELM (MHLK-ELM). Specifically, we first integrate kernel functions with random feature mapping of ELM to design a hidden-layer-kernel ELM (HLK-ELM), which serves as the base of MHLK-ELM. Then, we utilize the MKL method to propose two versions of MHLK-ELMs, called sparse and non-sparse MHLK-ELMs. Both two types of MHLK-ELMs can effectively find out the optimal linear combination of multiple HLK-ELMs for different classification and regression problems. Experimental results on seven data sets, among which three data sets are relevant to classification and four ones are relevant to regression, demonstrate that the proposed MHLK-ELM achieves superior performance compared with conventional ELM and basic HLK-ELM.

Research on flexural bearing capacity of cold-formed thin-walled steel and reinforced concrete sandwich composite slabs

Wentao Qiao,Zhiyuan Huang,Xiaoshuo Yan,Dong Wang,Lijun Meng 국제구조공학회 2022 Steel and Composite Structures, An International J Vol.45 No.2

The aim of this paper is to study the mechanical behaviors of the cold-formed thin-walled steel and reinforced concrete sandwich composite slab (CTS&RC-SCS) under vertical loads and to develop the calculation methods of its flexural bearing capacity and section stiffness. Two CTS&RC-SCS specimens were designed and manufactured to carry out the static loading test, and meanwhile, the numerical simulation analyses based on finite element method were implemented. The comparison between experimental results and numerical analysis results shows that the CTS&RC-SCS has good flexural capacity and ductility, and the accuracy and rationality of the numerical simulation analysis are verified. Further, the variable parameter analysis results indicate that neither increasing the concrete strength grade nor increasing the thickness of C-sections can significantly improve the flexural capacity of CTS&RC-SCS. With the increase of the ratio of longitudinal bars and the thickness of the composite slab, the flexural capacity of CTS&RC-SCS will be significantly increased. On the basis of experimental research and numerical analysis above, the calculation formula of the flexural capacity of CTS&RC-SCS was deduced according to the plastic section design theory, and section stiffness calculation formula was proposed according to the theory of transformed section. In terms of the ultimate flexural capacity and mid-span deflection, the calculated values based on the formulas and the experimental values are in good agreement.