Comparative Genomic Characterization of Three Streptococcus parauberis Strains in Fish Pathogen, as Assessed by Wide-Genome Analyses

Streptococcus parauberis, which is the main causative agent of streptococcosis among olive flounder (Paralichthys olivaceus) in northeast Asia, can be distinctly divided into two groups (type I and type II) by an agglutination test. Here, the whole genome sequences of two Japanese strains (KRS-02083 and KRS-02109) were determined and compared with the previously determined genome of a Korean strain (KCTC 11537). The genomes of S. parauberis are intermediate in size and have lower GC contents than those of other streptococci. We annotated 2,236 and 2,048 genes in KRS-02083 and KRS-02109, respectively. Our results revealed that the three S. parauberis strains contain different genomic insertions and deletions. In particular, the genomes of Korean and Japanese strains encode different factors for sugar utilization; the former encodes the phosphotransferase system (PTS) for sorbose, whereas the latter encodes proteins for lactose hydrolysis, respectively. And the KRS-02109 strain, specifically, was the type II strain found to be able to resist phage infection through the clustered regularly interspaced short palindromic repeats (CRISPR)/Cas system and which might contribute valuably to serologically distribution. Thus, our genome-wide association study shows that polymorphisms can affect pathogen responses, providing insight into biological/biochemical pathways and phylogenetic diversity

Wireless Campus Project

This paper addresses Wireless Campus project as a WLAN service deployment and test-field development experience. Will be covered aspects about the network, administrative issues and infrastructure and RF coverage. Then will be given details about security problems and solution proposed and mobility issues. Finally will be presented our solution proposal for LBS services to be deployed inside campu

Wireless Campus Project

This paper addresses Wireless Campus project as a WLAN service deployment and test-field development experience. Will be covered aspects about the network, administrative issues and infrastructure and RF coverage. Then will be given details about security problems and solution proposed and mobility issues. Finally will be presented our solution proposal for LBS services to be deployed inside campus

Spectrum sensing algorithms for cognitive TV white-spaces systems

This chapter describes a set of spectrum sensing algorithms to be employed for the detection of Ortogonal Frequency Division Multiplexing transmissions in the TV bands (470-790 MHz), like DVB-T signals. Spectrum sensing techniques take a crucial role to support geo-referenced TV White-Spaces (TVWS) databases and to maintain them up-to-date over time. When considering a single-antenna spectrum sensing unit, very effective methods for detecting OFDM signals are based on DVB-T cyclic prefix and pilot pattern feature detection. Starting from these, further improvements can be obtained using multi-antenna techniques. This chapter shows performance analysis of feature-based single-antenna and multi-antenna techniques in order to derive trade-offs and conclusion