Sparsity in Dynamics of Spontaneous Subtle Emotions: Analysis \& Application

Spontaneous subtle emotions are expressed through micro-expressions, which are tiny, sudden and short-lived dynamics of facial muscles; thus poses a great challenge for visual recognition. The abrupt but significant dynamics for the recognition task are temporally sparse while the rest, irrelevant dynamics, are temporally redundant. In this work, we analyze and enforce sparsity constrains to learn significant temporal and spectral structures while eliminate irrelevant facial dynamics of micro-expressions, which would ease the challenge in the visual recognition of spontaneous subtle emotions. The hypothesis is confirmed through experimental results of automatic spontaneous subtle emotion recognition with several sparsity levels on CASME II and SMIC, the only two publicly available spontaneous subtle emotion databases. The overall performances of the automatic subtle emotion recognition are boosted when only significant dynamics are preserved from the original sequences.Comment: IEEE Transaction of Affective Computing (2016

Typical Values of the Nguyen Dynasty’s Decorative Art on Bronze Objects in Hue

In the general relationship of culture and art, the Nguyen lords and kings made many contributions to the shaping and development of Cochinchina, enhanced the country's position and influence with other countries in the region. The decorative art on bronze objects in the Nguyen Dynasty contains many cultural, historical and aesthetic values with multi-dimensional and multi-layered symbol. This has shown the synthesis of values, in which aesthetic value is one of the outstanding points. The decorative art on bronze objects in the Nguyen Dynasty take an important role in preserving and conserving national artistic and cultural values. Besides this, the expressive value on bronze and the emotiveness from the surface of the material also enhance the values of the decorative art. The Nguyen Dynasty’s decorative art on bronze objects in Hue has shown the richness of art and culture. Through the study we can see and feel the great ingenuity and creative spirit of the artisan classes. This is one of the factors affirming the position of the Nguyen dynasty's decorative art on bronze objects in the general of Vietnamese bronze art

Combined adaptive lattice reduction-aided detection and antenna shuffling for DSTTD-OFDM systems

In this paper, we consider lattice reduction (LR) aided linear detection in a DSTTD-OFDM (double space-time transmit diversity- orthogonal frequency division multiplexing) system with antenna shuffling. We first derive an antenna shuffling criterion for the LR-aided DSTTD-OFDM system. Next, we propose a combined reduced-feedback and adaptive LR algorithm by exploiting the correlation between OFDM subcarriers in the frequency domain. The LR-aided DSTTD OFDM system with this algorithm requires low computational effort for the LR operation and small feedback information. Simulation results show that a significant improvement could be achieved in the proposed system compared to previous (non-LR-aided) systems under spatially correlated channels. Also, the proposed complexity-reduced approach could greatly lower the system complexity while exhibiting a slight performance loss

INDIGENOUS KNOWLEDGE OF BEN TRE PROVINCE COASTAL RESIDENTS IN WEATHER FORECAST AND RESPONDING TO CLIMATE CHANGE

Indigenous knowledge is an important cultural element in the coastal community, which is constantly created, fostered, and transmitted between generations through production, application, and application. dealing with nature and social relations in the community. This article analyzes the correlation between Ben Tre marine knowledge and Central sea knowledge, presents knowledge related to weather forecasting and response to climate changes in the community of residents and fishermen in the coastal province of Ben Tre. The research results are the collected documents to prove the origin and characteristics of the indigenous knowledge in the coastal areas of Ben Tre province in adapting to the natural environment, contributing to the completion of studies on anthropology. sea ​​in Ben Tre province

BUILDING STANDARDS FOR PHYSICAL ASSESSMENT OF SECOND YEAR STUDENTS AT KHANH HOA UNIVERSITY, VIETNAM

Research to build physical assessment standards for second-year students of Khanh Hoa University helps us get the basic information and basis to evaluate the teaching process and choose solutions. suitable in the training process, improve students' physical condition to meet learning requirements in new training trends.  Article visualizations

Aspect-Based Sentiment Analysis Using a Two-Step Neural Network Architecture

The World Wide Web holds a wealth of information in the form of unstructured texts such as customer reviews for products, events and more. By extracting and analyzing the expressed opinions in customer reviews in a fine-grained way, valuable opportunities and insights for customers and businesses can be gained. We propose a neural network based system to address the task of Aspect-Based Sentiment Analysis to compete in Task 2 of the ESWC-2016 Challenge on Semantic Sentiment Analysis. Our proposed architecture divides the task in two subtasks: aspect term extraction and aspect-specific sentiment extraction. This approach is flexible in that it allows to address each subtask independently. As a first step, a recurrent neural network is used to extract aspects from a text by framing the problem as a sequence labeling task. In a second step, a recurrent network processes each extracted aspect with respect to its context and predicts a sentiment label. The system uses pretrained semantic word embedding features which we experimentally enhance with semantic knowledge extracted from WordNet. Further features extracted from SenticNet prove to be beneficial for the extraction of sentiment labels. As the best performing system in its category, our proposed system proves to be an effective approach for the Aspect-Based Sentiment Analysis