Exploring Emotion Features and Fusion Strategies for Audio-Video Emotion Recognition

The audio-video based emotion recognition aims to classify a given video into basic emotions. In this paper, we describe our approaches in EmotiW 2019, which mainly explores emotion features and feature fusion strategies for audio and visual modality. For emotion features, we explore audio feature with both speech-spectrogram and Log Mel-spectrogram and evaluate several facial features with different CNN models and different emotion pretrained strategies. For fusion strategies, we explore intra-modal and cross-modal fusion methods, such as designing attention mechanisms to highlights important emotion feature, exploring feature concatenation and factorized bilinear pooling (FBP) for cross-modal feature fusion. With careful evaluation, we obtain 65.5% on the AFEW validation set and 62.48% on the test set and rank third in the challenge.Comment: Accepted by ACM ICMI'19 (2019 International Conference on Multimodal Interaction

Assessing the implications of temperature extremes during the period 1959-2014 on the Inner Mongolia Plateau to sustainable development

The study sought to foster a better understanding of the nature of extreme temperature events and variations, and their implications to sustainable development, based on 16 indices of extreme temperature obtained from 43 meteorological stations on the Inner Mongolia Plateau (IMP). By using linear trend and Mann-Kendall abrupt change tests to investigate temporal variation trends, coupled with spatial distribution patterns and abrupt changes of extreme temperature events, the study revealed that the IMP has experienced extreme warming during 1959–2014 with warm extremes increasing significantly (p < 0.01) and cold extremes apparently decreasing (p < 0.01). The most significant increasing trends of warm extreme indices occurred in the desert steppe area (DSA) and sand desert area (SDA), suggesting that warming trends for night-time indices were larger than for daytime indices, while the most significant decreases in cold extreme indices were detected in forest area (FA) and forest steppe area (FSA). In addition, the significant cold day and cold night indices showed a decreasing trend, while warm day and warm night indices showed an increasing trend across the entire study area. Moreover, the study identified that topography has a large impact on the spatial distribution of extreme temperature indices, as does the type of grassland, and the ubiquity of the heat island effect in constructed urban regions. Finally, the study posits that to mitigate the effects of extreme temperatures, it is imperative to foster adaptive actions based on the principles of sustainable development

Spatio-temporal evolution of urban innovation structure based on zip code geodatabase: An empirical study from Shanghai and Beijing

In today's world, the innovation of science and technology has become the key support for improving comprehensive national strength and changing the mode of social production and lifestyle. The country that possesses world-class scientific and technological innovation cities maximizes the attraction of global innovation factors and wins a strategic initiative in international competition. Based on the urban zip code geodatabase, an evaluation system of urban innovation with the perspective of innovation outputs, and the spatial evolutionary mode, concerning the structure of innovation space of Shanghai and Beijing from 1991 to 2014, was developed. The results of the research indicated that the zip code geodatabase provided a new perspective for studying the evolving spatial structure of urban innovation. The resulting evaluation of the spatial structure of urban innovation using the urban zip code geodatabase established by connecting random edge points, was relatively effective. The study illustrates the value of this methodology. During the study period, the spatial structure of innovation of Shanghai and Beijing demonstrated many common features: with the increase in urban space units participating in innovation year by year, the overall gap of regional innovation outputs has narrowed, and the trend towards spatial agglomeration has strengthened. The evolving spatial structure of innovation of Shanghai and Beijing demonstrated differences between the common features during the 25 years as well: in the trend towards the suburbanization of innovation resources, the spatial structure of innovation of Shanghai evolved from a single-core to a multi-core structure. A radiation effect related to traffic arteries as spatial diffusion corridors was prominent. Accordingly, a spatial correlation effect of its innovation outputs also indicated a hollowness in the city center; the spatial structure of innovation of Beijing had a single-core oriented structure all the way. Together with the tendency for innovation resources to be agglomerated in the city center, the spatial correlation effect of innovation outputs reflected the characteristics of the evolutionary feature where "rural area encircles cities". The innovation spatial structure of Shanghai and Beijing have intrinsic consistency with the spatial structure of their respective regions (Yangtze River Delta urban agglomeration and Beijing-Tianjin-Hebei metropolitan region), which suggested that the principle of proportional and disproportional distribution of a city-scale pattern of technological and innovational activities is closely related to its regional innovation pattern.National Natural Science Foundation of China, No.41471108, No.41501141peer-reviewed2017-11-1

Do External or Internal Technology Spillovers Have a Stronger Influence on Innovation Efficiency in China?

In this study, we bridge an important gap in the literature by comparing the extent to which external technology spillovers, as indicated by foreign direct investment (FDI), and internal technology spillovers, as indicated by university-institute-industry cooperation (UIC), influence innovation efficiency in China. We divide the innovation process into two sequential stages, namely the knowledge creation and technology commercialization stages, and employ a network data envelopment analysis approach to measure innovation efficiency at each stage. The spatial analysis of the distribution of knowledge creation efficiency and technology commercialization efficiency reveals the heterogeneity of innovation efficiency at the provincial level. Then, a panel data regression is used to analyze the effect of FDI and UIC on innovation efficiency at each stage, using data from 2009 to 2015 for 30 provinces in China. By comparing FDI with UIC, we find that FDI has a higher coefficient and stronger significance level at the knowledge creation stage, while only industry-institute linkages exhibit a stronger association with innovation efficiency at the technology commercialization stage

China\u27s emerging role in the global semiconductor value chain

The global model of semiconductor development has resulted in an asymmetric and interdependent relationship between China\u27s critical role in semiconductor production and those regions such as the US which control the key inputs into the value chain. While this unbalanced relationship has facilitated many of the companies involved in the value chain in exploiting the comparative advantage of different locations for different functions and has allowed a complex ecosystem of supplier networks to emerge over time, the increasing influence of geopolitical considerations associated with the growing tensions between the US and China has created considerable uncertainty about the future evolution of this value chain. It is within this uncertain context that China\u27s efforts to achieve greater autonomy in the development of its own semiconductor sector will be examined in this paper.2022-04-1

Urbanisation in China: regional development and co-operation among cities: UrbaChina Working papers series NO 3 / July 2014

This paper examines the regional patterns of urbanisation in China and co-operation among Chinese cities. By studying the case of Shanghai, the authors show that the central government's objective is to develop regional urban clusters and to promote exchanges and relations on a regional basis. Regional cities adopt different methods to exploit their geographical advantages. The analysis of the regional development of Chinese cities also underlines a broader question related to the optimum size of cities, and the emergence of city networks. For financial reasons, cities have favoured expansion rather than co-operation. In the Yangtze River Delta, competition is fierce among cities to attract foreign direct investment (FDI) and thus benefit from new infrastructures. Regional co-operation among Chinese cities is still not effective, therefore more policies needs to be implemented to increase coordination, as opposed to replication and competition. The way in which cities finance themselves needs to be reformed to reach this objective

Spatiotemporal Evolution and Determinants of the Geography of Chinese Patents Abroad: A Case Study of Strategic Emerging Industries

China’s rapid technological growth and aggressive globalization policies have led to an increasing interest in Chinese patents abroad. This study uses strategic emerging industries (SEIs) that are important for the future development of the world as examples and constructs a novel dataset of Chinese SEI patents abroad (1993–2017) to explore the spatiotemporal evolution and determinants of the geography of these patents. Our results show that the number of Chinese SEI patents abroad is growing rapidly, and the new-generation information technology industry is increasingly dominating, accounting for approximately 50% of all SEI patents abroad. Chinese SEI patents abroad are highly concentrated in the United States, Western Europe, and East Asia, and their influence is gradually spreading from African countries to developed countries. The host country’s intellectual property rights (IPR) protection level, technology market size and imitation risk have significant positive effects on Chinese SEI patents abroad, while the host country’s high-tech product market size and competition risk have negative effects on Chinese patents abroad. The conclusions provide new information for understanding Chinese patents abroad activities and the motivation of China’s technology globalization and provide evidence from an emerging country for research of the international diffusion of technology innovation

The faster the better? Economic effects of the speed of inter‐city technology transfer in China

Although existing studies questioned the simple positive correlation between the technology transfer speed and the benefits, they have been widely condemned for lacking em-pirical evidence. Using the patent transfer data at the city scale in China, and distinguishing fast from slow by divid-ing technology transfer speed into four levels, this paper attempts to answer the question in terms of city economic growth, which is whether the faster is the better. Panel re-gression results show that for economic growth of city, the speed of technology transfer does not mean that faster is better. In other words, technology transfer maintaining a relatively rapid speed (more than 1 year and less than 2 years) can promote city economic growth, although the evidence is weak.2021-06-1