This thesis explores the possibilities of implementation of methods for data acquisition in wireless access point MikroTik while using virtualized OpenWRT system. First part of the paper contains short introduction into device’s features and extention of the features by virtualizing the operation system. Design and implementation of the scripts for average load of interfaces data acquisition is in the second part of the paper. The next part deals with the transmission of the gathered data and implementation of the proposed programs in C language. The last part of the paper covers the implementation of a complete program to collect, send and receive data with the option of parameters configuration, and automatic acquisition of the configuration.

The present study aims to explore the relationship between proficiency level and semantic retrieval in the second language. A group of Korean bilinguals who speak English with high proficiency performed semantic relatedness judgement tasks of two hundred English word pairs. Unbeknownst to the participants, half of the words in both the related and the unrelated categories contained a "hidden prime"—a common first syllable shared by the two words, if translated into Korean. Each participant's event-related potential (ERP) was recorded while reading the words. While a former study by Thierry and Wu (2007) found that Chinese-English bilinguals were affected by the hidden primes, thus causing a "N400 reduction effect" in their averaged ERP, the bilingual group of the present study was unaffected by the hidden primes. The difference between the bilingual groups' performance between Thierry and Wu's study and the present study is likely caused by the higher English proficiency of the bilingual group in the present study. This provides additional evidence supporting the Revised Hierarchical Model of semantic retrieval proposed by Kroll and Steward (1994), which suggests that increased proficiency leads to reduced reliance on the first language during second language semantic retrieval.