scholarly journals Evaluation and Analysis of Animation Multimedia 3D Lip Synchronization considering the Comprehensive Weighted Algorithm

2021 ◽  
Vol 2021 ◽  
pp. 1-7
Author(s):  
Zhe Xu
Keyword(s):  
Simulation Experiment ◽  
Evaluation Model ◽  
Research Direction ◽  
Simultaneous Evaluation ◽  
Pattern Sequence ◽  
Weighted Algorithm ◽  
Weight Analysis ◽  
Vector Weight ◽  
Lip Synchronization ◽  
Important Research Direction

The 3D lip synchronization is one of the hot topics and difficulties in the field of computer graphics. How to carry out 3D lip synchronization effectively and accurately is an important research direction in the field of multimedia. On this basis, a comprehensive weighted algorithm is introduced in this paper to sort out the related laws and the time of lip pronunciation in animation multimedia, carry out the vector weight analysis on the texts in the animation multimedia, and synthesize a matching evaluation model for 3D lip synchronization. At the same time, the goal of simultaneous evaluation can be achieved by synthesizing the transitional mouth pattern sequence between consecutive mouth patterns. The results of the simulation experiment indicate that the comprehensive weighted algorithm is effective and can support the evaluation and analysis of animation multimedia 3D lip synchronization.

scholarly journals 2D and 3D Palmprint and Palm Vein Recognition Based on Neural Architecture Search

2021 ◽  
Author(s):  
Wei Jia ◽  
Wei Xia ◽  
Yang Zhao ◽  
Hai Min ◽  
Yan-Xiang Chen
Keyword(s):  
Deep Learning ◽  
Recognition Performance ◽  
Research Direction ◽  
Palmprint Recognition ◽  
Neural Architecture ◽  
Development Direction ◽  
Vein Recognition ◽  
Palm Vein ◽  
2D And 3D ◽  
Important Research Direction

AbstractPalmprint recognition and palm vein recognition are two emerging biometrics technologies. In the past two decades, many traditional methods have been proposed for palmprint recognition and palm vein recognition and have achieved impressive results. In recent years, in the field of artificial intelligence, deep learning has gradually become the mainstream recognition technology because of its excellent recognition performance. Some researchers have tried to use convolutional neural networks (CNNs) for palmprint recognition and palm vein recognition. However, the architectures of these CNNs have mostly been developed manually by human experts, which is a time-consuming and error-prone process. In order to overcome some shortcomings of manually designed CNN, neural architecture search (NAS) technology has become an important research direction of deep learning. The significance of NAS is to solve the deep learning model’s parameter adjustment problem, which is a cross-study combining optimization and machine learning. NAS technology represents the future development direction of deep learning. However, up to now, NAS technology has not been well studied for palmprint recognition and palm vein recognition. In this paper, in order to investigate the problem of NAS-based 2D and 3D palmprint recognition and palm vein recognition in-depth, we conduct a performance evaluation of twenty representative NAS methods on five 2D palmprint databases, two palm vein databases, and one 3D palmprint database. Experimental results show that some NAS methods can achieve promising recognition results. Remarkably, among different evaluated NAS methods, ProxylessNAS achieves the best recognition performance.

Towards effective link prediction: A hybrid similarity model

2020 ◽  
pp. 1-14
Author(s):  
Longjie Li ◽  
Lu Wang ◽  
Hongsheng Luo ◽  
Xiaoyun Chen
Keyword(s):  
Link Prediction ◽  
Structural Similarity ◽  
Research Direction ◽  
Structural Features ◽  
Proposed Model ◽  
Similarity Model ◽  
Weight Calculation ◽  
Stable Performance ◽  
Grey Relation ◽  
Important Research Direction

Link prediction is an important research direction in complex network analysis and has drawn increasing attention from researchers in various fields. So far, a plethora of structural similarity-based methods have been proposed to solve the link prediction problem. To achieve stable performance on different networks, this paper proposes a hybrid similarity model to conduct link prediction. In the proposed model, the Grey Relation Analysis (GRA) approach is employed to integrate four carefully selected similarity indexes, which are designed according to different structural features. In addition, to adaptively estimate the weight for each index based on the observed network structures, a new weight calculation method is presented by considering the distribution of similarity scores. Due to taking separate similarity indexes into account, the proposed method is applicable to multiple different types of network. Experimental results show that the proposed method outperforms other prediction methods in terms of accuracy and stableness on 10 benchmark networks.

Preparation and Properties of Alginate Fibre

2011 ◽  
Vol 335-336 ◽  
pp. 419-422 ◽  
Author(s):  
Yuan Lian ◽  
Jian Yi Wu ◽  
Da Peng Zhou ◽  
Hong Mei Wang ◽  
Dian Wu Huang ◽  
...  
Keyword(s):  
Research Direction ◽  
Biological Properties ◽  
Wet Spinning ◽  
Structure And Properties ◽  
Important Research ◽  
Preparation Technology ◽  
Thermal Gravimetric Analyzer ◽  
Infrared Spectrometer ◽  
Medical Materials ◽  
Important Research Direction

Alginate fibre has attracted great attention in the area of biological medical materials due to its unique biological properties. But its low tenacity greatly hinders its application area. Therefore, the preparation technology of alginate fibre has been as an important research direction in this area in recent years. The purpose of this article is to prepare the calcium alginate fibre with good properties by wet spinning. The structure and properties of this fibre are analyzed by scanning electron microscope，infrared spectrometer，thermal gravimetric analyzer and DSC.

scholarly journals Height Estimation of Target Objects Based on Structured Light

2018 ◽  
Vol 2018 ◽  
pp. 1-9
Author(s):  
Wei Liu ◽  
Yongsheng Zhao
Keyword(s):  
Simple Structure ◽  
Structured Light ◽  
Three Dimensional ◽  
Research Direction ◽  
Target Object ◽  
Height Estimation ◽  
Word Structure ◽  
Dimensional Reconstruction ◽  
Important Research Direction ◽  
Structure Light

The height estimation of the target object is an important research direction in the field of computer vision. The three-dimensional reconstruction of structured light has the characteristics of high precision, noncontact, and simple structure and is widely used in military simulation and cultural heritage protection. In this paper, the height of the target object is estimated by using the word structure light. According to the height dictionary, the height under the offset is estimated by the movement of the structured light to the object. In addition, by effectively preprocessing the captured structured light images, such as expansion, seeking skeleton, and other operations, the flexibility of estimating the height of different objects by structured light is increased, and the height of the target object can be estimated more accurately.

Similarity Search in Time Series

2009 ◽  
pp. 288-299 ◽  
Author(s):  
Maria Kontaki ◽  
Apostolos N. Papadopoulos ◽  
Yannis Manolopoulos
Keyword(s):  
Time Series ◽  
Similarity Search ◽  
Research Direction ◽  
Static Case ◽  
Important Research ◽  
Significant Research ◽  
Reduction Methods ◽  
Similarity Problem ◽  
Efficient Query Processing ◽  
Important Research Direction

In many application domains, data are represented as a series of values in different time instances (time series). Examples include stocks, seismic signals, audio, and so forth. Similarity search in time series databases is an important research direction. Several methods have been proposed to provide efficient query processing in the case of static time series of fixed length. Research in this field has focused on the development of effective transformation techniques, the application of dimensionality reduction methods, and the design of efficient indexing schemes. These tools enable the process of similarity queries in time series databases. In the case where time series are continuously updated with new values (streaming time series), the similarity problem becomes even more difficult to solve, since we must take into consideration the new values of the series. The dynamic nature of streaming time series precludes the use of methods proposed for the static case. To attack the problem, significant research has been performed towards the development of effective and efficient methods for streaming time series processing. In this article, we introduce the most important issues concerning similarity search in static and streaming time series databases, presenting fundamental concepts and techniques that have been proposed by the research community.

Efficient Large-Scale Stance Detection in Tweets

2020 ◽  
pp. 667-683
Author(s):  
Yilin Yan ◽  
Jonathan Chen ◽  
Mei-Ling Shyu
Keyword(s):  
Deep Learning ◽  
Language Processing ◽  
Large Scale ◽  
Research Direction ◽  
Detection Methods ◽  
Use Case ◽  
Learning Techniques ◽  
Test Use ◽  
Presidential Election Campaign ◽  
Important Research Direction

Stance detection is an important research direction which attempts to automatically determine the attitude (positive, negative, or neutral) of the author of text (such as tweets), towards a target. Nowadays, a number of frameworks have been proposed using deep learning techniques that show promising results in application domains such as automatic speech recognition and computer vision, as well as natural language processing (NLP). This article shows a novel deep learning-based fast stance detection framework in bipolar affinities on Twitter. It is noted that millions of tweets regarding Clinton and Trump were produced per day on Twitter during the 2016 United States presidential election campaign, and thus it is used as a test use case because of its significant and unique counter-factual properties. In addition, stance detection can be utilized to imply the political tendency of the general public. Experimental results show that the proposed framework achieves high accuracy results when compared to several existing stance detection methods.

An Improved RFID Tag Collision Algorithm

2014 ◽  
Vol 596 ◽  
pp. 222-225
Author(s):  
Tian Bao Ran ◽  
Xi Sheng Wu
Keyword(s):  
Research Direction ◽  
Important Research ◽  
Probabilistic Algorithm ◽  
Slot Aloha ◽  
Rfid Tag ◽  
Rfid System ◽  
Collision Dynamic ◽  
Simulation Results ◽  
Important Research Direction

Tag collision is a very important research direction in the RFID system. Probabilistic solving algorithm is one of the important way to solve the tag collision, dynamic frame slot ALOHA (DFSA) algorithm is more commonly used at present and the probabilistic algorithm with better effect. This paper proposes an Advanced DFSA (ADFSA) which is based on a dynamic frame slot ALOHA algorithm, combined with multiplier factor and grouping thoughts. the algorithm is simple, at the same time, the simulation results show that IDFSA algorithm has better performance.

Research on the Real-Time Video Transmission Mechanism Based on TFRC

2012 ◽  
Vol 195-196 ◽  
pp. 1106-1110
Author(s):  
Fu Xiao ◽  
Ting Hu ◽  
Jian Ping Yu ◽  
Ru Chuan Wang
Keyword(s):  
Quality Assessment ◽  
Real Time ◽  
Video Transmission ◽  
Simulation Experiment ◽  
Evaluation Model ◽  
Video Quality ◽  
Transmission System ◽  
Transmission Mechanism ◽  
Picture Quality ◽  
Video File

TFRC protocol is very suitable for video transmission, while quality assessment is also essential in video transmission system. In this paper a real-time video transmission system based on TFRC protocol is proposed, and an evaluation model about the system is improved in the framework of Evalid. It assesses the quality and efficiency of the video transmission according to the actual video file, and analyzes losses frame in different video types during transmission as well as the picture quality in receiver. The results of simulation experiment in NS-2 show that when real-time video transmitted in complex network environment using this system, the receiver can get satisfactory video quality by reason of the TFRC protocol friendliness and the smoothness of sending rate.

Performance Test Functions of Genetic Algorithm

2013 ◽  
Vol 278-280 ◽  
pp. 1334-1337
Author(s):  
Wen Xia Yun ◽  
Yong Jie Ma ◽  
Ying Chen
Keyword(s):  
Genetic Algorithm ◽  
Performance Test ◽  
Research Direction ◽  
Test Functions ◽  
Selection Algorithm ◽  
Test Function ◽  
The Common ◽  
Test Algorithm ◽  
Performance Of Algorithm ◽  
Important Research Direction

Due to the disadvantages of genetic algorithm such as the weaker ability for local search, premature convergence, random walk and problems related, and so on , the design and improvement of the algorithm is an important research direction of genetic algorithm. And evaluating the performance of algorithm systematically and scientifically is the key to test algorithm whether good or bad .The common method used to evaluate algorithm is test function, however, the existing literature on the optimization algorithm has different methods to evaluate the performance of algorithm, and there is no uniform test criteria. As for those questions above, This paper studies test functions of genetic algorithm, and analyses characteristics of the main test functions, which can be used as the basis of selection algorithm test functions.

Key Technologies and Development of Micro-Nano Positioning Platform with Large Travel

2011 ◽  
Vol 55-57 ◽  
pp. 929-932
Author(s):  
Yan Fei Zhang ◽  
Guang Xue Hu ◽  
Jin Liang Gong ◽  
Xiu Ting Wei
Keyword(s):  
Research Direction ◽  
Flexible Structure ◽  
Important Research ◽  
Continuous Development ◽  
Driving System ◽  
Nano Scale ◽  
Key Technologies ◽  
Ultra Precision ◽  
Important Research Direction

Depended on the continuous development of nanotechnology, many micro-nano positioning platforms have been developed. Considering the actual engineer need, technologies for design of the positioning platform with both large travel and nano scale accuracy have become an important research direction. Several large travel driving systems with nano resolution are compared, and further key technologies of large travel and ultra precision for design are also discussed. Analysis result is that there are two kinds of types of micro-nano positioning platform at present, that’s flexible hinges arranged structure and integrative mechanism of both general driving system and flexible structure. Merits and shortcomings for these two kinds of micro-nano positioning platforms are all presented and some useful conclusions are brought forward.

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