A Robust Method for Speech Emotion Recognition Based on Infinite Student’s t

Speech emotion classification method, proposed in this paper, is based on Student’s t-mixture model with infinite component number (iSMM) and can directly conduct effective recognition for various kinds of speech emotion samples. Compared with the traditional GMM (Gaussian mixture model), speech emotion model based on Student’s t-mixture can effectively handle speech sample outliers that exist in the emotion feature space. Moreover, t-mixture model could keep robust to atypical emotion test data. In allusion to the high data complexity caused by high-dimensional space and the problem of insufficient training samples, a global latent space is joined to emotion model. Such an approach makes the number of components divided infinite and forms an iSMM emotion model, which can automatically determine the best number of components with lower complexity to complete various kinds of emotion characteristics data classification. Conducted over one spontaneous (FAU Aibo Emotion Corpus) and two acting (DES and EMO-DB) universal speech emotion databases which have high-dimensional feature samples and diversiform data distributions, the iSMM maintains better recognition performance than the comparisons. Thus, the effectiveness and generalization to the high-dimensional data and the outliers are verified. Hereby, the iSMM emotion model is verified as a robust method with the validity and generalization to outliers and high-dimensional emotion characters

Towards Cyber Security for Low-Carbon Transportation: Overview, Challenges and Future Directions

In recent years, low-carbon transportation has become an indispensable part as sustainable development strategies of various countries, and plays a very important responsibility in promoting low-carbon cities. However, the security of low-carbon transportation has been threatened from various ways. For example, denial of service attacks pose a great threat to the electric vehicles and vehicle-to-grid networks. To minimize these threats, several methods have been proposed to defense against them. Yet, these methods are only for certain types of scenarios or attacks. Therefore, this review addresses security aspect from holistic view, provides the overview, challenges and future directions of cyber security technologies in low-carbon transportation. Firstly, based on the concept and importance of low-carbon transportation, this review positions the low-carbon transportation services. Then, with the perspective of network architecture and communication mode, this review classifies its typical attack risks. The corresponding defense technologies and relevant security suggestions are further reviewed from perspective of data security, network management security and network application security. Finally, in view of the long term development of low-carbon transportation, future research directions have been concerned.Comment: 34 pages, 6 figures, accepted by journal Renewable and Sustainable Energy Review

Dynamic Fit Optimization and Effect Evaluation of a Female Wetsuit Based on Virtual Technology

At present, the traditional mode of research and development for mass-produced wetsuits usually requires repeated sample making and try-on evaluation, and performance cannot be predicted, monitored and evaluated in real time; this can lead to problems including low material utilization and production efficiency. In this study, real human body static and dynamic measurements, material properties and structure data are applied through 3D software to build an accurate virtual model, and new wetsuits are designed through simulation, optimization and evaluation. The static and dynamic fitting performance above and underwater is comprehensively evaluated in virtual and real environments, and it is proved that the virtual development mode can accurately and effectively guide the development and evaluation of wetsuits, and can meet personalized comfort and functional requirements today. This simulation evaluation method avoids repeated sample preparation, some unnecessary waste of materials and environmental pollution, and improves manufacturing efficiency

The Influence of Major Ergonomic Factors on the Demand for Underwear in the Highly Educated Male Group

At present, it is unclear how ergonomic factors of underwear affect men’s work, lifestyle, physiology and psychology, and whether the demand factors of some special groups will affect the development of underwear. This study analyzed the underwear preferences of male groups working in Chinese and European universities from the perspective of ergonomics. The survey results confirm that ergonomic factors significantly affect men’s preference for underwear, including subjective style preference and objective comfort. These problems come from style structure, materials, functional design and size standards. In general, this typical male group needs underwear with good support in standing posture and good comfort in sitting state. This study also provides important information and evidence for the analysis and prediction of group characteristics and demand-oriented product development. Designing underwear products according to consumer needs and avoiding waste of resources from inefficient development has a positive impact on the green development and recycling of textiles

Blockchain-Based Method for Pre-Authentication and Handover Authentication of IoV Vehicles

The Internet of Vehicles (IoV) is an important supporting technology for intelligent transportation systems that connects traffic participants, such as vehicles, pedestrians, and roads, through wireless networks and enables information exchange to enhance traffic safety and improve traffic efficiency. The IoV is a unique network that involves many network security risks, which must be controlled through authentication, encryption, and other protective measures. To solve problems, such as high computing overhead and low handover authentication efficiency of the existing vehicle access authentication of the IoV, a compact consensus pre-authentication and handover authentication method was designed based on blockchain features such as decentralization and security. The proposed method is based on ensuring authentication security and reduces the consensus time, saves computing resources, and effectively solves the problems of high computing cost and high communication cost arising from frequent vehicle authentication handovers. A performance and security analysis demonstrates that our approach can reduce the computational overhead by up to 88.14% for a vehicle and by more than 60% for a roadside unit (RSU). The overall communication overhead of the solution is reduced by up to 71.31%. The data illustrate that the proposed method can safely and significantly improve the efficiency of vehicle handover authentication

Modeling Dust Direct Radiative Feedbacks in East Asia During the Last Glacial Maximum

In this study, using the fourth version of the Community Atmosphere Model (CAM4) with a bulk aerosol model parameterization (BAM) for dust size distribution (CAM4-BAM), East Asian dust and its direct radiative feedbacks (DRF) during the Last Glacial Maximum are analyzed by intercomparing results between the experiments with (Active) and without (Passive) the DRF. This CAM4-BAM captures the expected characteristics that the dust aerosol optical depth and loading over East Asia during the Last Glacial Maximum (LGM) were significantly greater compared to the current climate. A comparative analysis of the Active and Passive experiments reveals that consideration of the dust-radiation interaction can significantly reduce dust emissions and then weaken the whole dust cycle, including loading, transport, and dry and wet depositions over East Asia. Further analysis of the dust-radiation feedback shows that the DRF decreases surface sensible heat, mainly owing to the negative surface forcing induced by dust with a value of -11.8 W m(-2). The decreased surface sensible heat weakens the turbulent energy within the planetary boundary layer and the surface wind speed, and then reduces the regional dust emissions. This process creates a negative DRF-emission feedback loop to affect the dust cycle during the LGM. Further analysis reveals that the dust emissions in the LGM over East Asia were more reduced, with amounts of -77.2 Tg season(-1) by the negative DRF-emission feedback, compared to the current climate with -6.8 Tg season(-1). The two ratios of this reduction to their emissions are close to -10.7% for the LGM and -7.5% for the current climate

Distinct Holocene precipitation trends over arid Central Asia and linkages to westerlies and Asian monsoon

The response of precipitation over arid Central Asia since the mid Holocene is long considered to be controlled by astronomical insolation-induced changes in the westerlies. However, it is still controversial in proxy and modeling studies whether the trend of Central Asian precipitation is in accordance with Asian monsoon or not. Compared to the monsoon, the westerlies-associated precipitation changes are complicated and also rely on regional mountain complex. In this study, we conducted a high-resolution transient experiment by a coupled climate model to evaluate the response of Central Asian precipitation. The simulated precipitation changes are distinctly different over regions although they are mainly associated with the westerlies. Since mid Holocene, the annual precipitation increases over BalkhashAltai region but decreases over Turan Plain, Mongolia-Baikal and Tarim Basin, in all of which the summer precipitation contributes most. Following the summer insolation, the southward shift of westerly jet is accompanied by wave-like anomalies in the upper-tropospheric meridional winds across mid-latitude Eurasia (the Silk Road pattern), which results in distinct summer precipitation changes. The decreased precipitation over Tarim is mainly explained by weakened low-level easterly wind anomaly and less moisture supply from East Asia. In contrast, the responses of winter precipitation are limited even in the winter-rainfall-dominated regime due to the small insolation change. Such simulated complicated precipitation trends during the Holocene are in qualitative agreement with existing proxies, highlighting the modulation of Silk Road pattern on Central Asian rainfall on the orbital timescale. (C) 2021 Elsevier Ltd. All rights reserved