Sexual Discrimination in Italian and Chinese

As an important communicative tool and a mirror of culture, language inevitably reflects social customs and conventions. Sexual discrimination is a phenomenon that typified most patriarchal societies. This discrimination, as it is reflected in the Italian and Chinese language use, can be found in markedness, word order, semantics, appellation, occupation, etc.

A Study of the Strategies Adopted by Italian Enterprises in China for the Protection of Intellectual Property

Italy is a major manufacturing exporter. The export revenue takes up a significant proportion of its national income to which exported commodities of Italian brands contribute a great deal. This is why the Italian authority has been making continuous efforts to crack down on intellectual property infringement for the protection of Italian exports and ultimately the stability of the Italian economy. Once entering the Chinese market where counterfeit consumer goods go rampant, Italian enterprises have the urge to fight against different kinds of counterfeiting under the intellectual property laws so that the trustworthiness among consumers and the benefits brought by intellectual property rights protection can be maintained

A Study on the Characteristics of the Educational Policy for Immigrant Children in Italy

Since the 1990s, Italy has been exposed to the increasingly serious issue of immigrant children education with immigrants flooding in. To help immigrant children integrate into the Italian society, the Italian government embarks on the journey to explore pragmatic immigrant education for children, considering both the nationwide situation and the development planning of the European Union

View-based models for visual tracking and recognition

Ph.DDOCTOR OF PHILOSOPH

Optimal Vaccine Distribution Strategy for Different Age Groups of Population: A Differential Evolution Algorithm Approach

Vaccination is one of the effective ways for protecting susceptible individuals from infectious diseases. Different age groups of population have different vulnerability to the disease and different contact frequencies. In order to achieve the maximum effects, the distribution of vaccine doses to the groups of individuals needs to be optimized. In this paper, a differential evolution (DE) algorithm is proposed to address the problem. The performance of the proposed algorithm has been tested by a classical infectious disease transmission model and a series of simulations have been made. The results show that the proposed algorithm can always obtain the best vaccine distribution strategy which can minimize the number of infectious individuals during the epidemic outbreak. Furthermore, the effects of vaccination on different days and the vaccine coverage percentages have also been discussed

BCI Competition IV – Data Set I: Learning Discriminative Patterns for Self-Paced EEG-Based Motor Imagery Detection

Detecting motor imagery activities versus non-control in brain signals is the basis of self-paced brain-computer interfaces (BCIs), but also poses a considerable challenge to signal processing due to the complex and non-stationary characteristics of motor imagery as well as non-control. This paper presents a self-paced BCI based on a robust learning mechanism that extracts and selects spatio-spectral features for differentiating multiple EEG classes. It also employs a non-linear regression and post-processing technique for predicting the time-series of class labels from the spatio-spectral features. The method was validated in the BCI Competition IV on Dataset I where it produced the lowest prediction error of class labels continuously. This report also presents and discusses analysis of the method using the competition data set

A digital-controlled SiC-based solid state circuit breaker with soft switch-off method for DC power system

Due to the lower on-state resistance, direct current (DC) solid state circuit breakers (SSCBs) based on silicon-carbide (SiC) metal-oxide-semiconductor field-effect transistors (MOSFETs) can reduce on-state losses and the investment of the cooling system when compared to breakers based on silicon (Si) MOSFETs. However, SiC MOSFETs, with smaller die area and higher current density, lead to weaker short-circuit ability, shorter short-circuit withstand time and higher protection requirements. To improve the reliability and short-circuit capability of SiC-based DC solid state circuit breakers, the short-circuit fault mechanisms of Si MOSFETs and SiC MOSFETs are revealed. Combined with the desaturation detection (DESAT), a “soft turn-off” short-circuit protection method based on source parasitic inductor is proposed. When the DESAT protection is activated, the “soft turn-off” method can protect the MOSFET against short-circuit and overcurrent. The proposed SSCB, combined with the flexibility of the DSP, has the μs-scale ultrafast response time to overcurrent detection. Finally, the effectiveness of the proposed method is validated by the experimental platform. The method can reduce the voltage stress of the power device, and it can also suppress the short-circuit current