Traditional RSS Research Articles

CSSR: assignment of secondary structure to coarse-grained RNA tertiary structures.

RNA secondary-structure (rSS) assignment is one of the most routine forms of analysis of RNA 3D structures. However, traditional rSS assignment programs require full-atomic structures of the individual RNA nucleotides. This prevents their application to the modeling of RNA structures in which base atoms are missing. To address this issue, Coarse-grained Secondary Structure of RNA (CSSR), an algorithm for the assignment of rSS for structures in which nucleobase atomic positions are incomplete, has been developed. Using CSSR, an rSS assignment accuracy of ∼90% is achieved even for RNA structures in which only one backbone atom per nucleotide is known. Thus, CSSR will be useful for the analysis of experimentally determined and computationally predicted RNA 3D structures alike. The source code of CSSR is available at https://github.com/pylelab/CSSR.

A building method of location fingerprint in indoor Radio-map

Fingerprint localisation is one of the most important research topics in the current indoor positioning system, which has attracted the attention of scholars both at home and abroad. Aiming at the problems of poor stability, vulnerability to environmental impacts and difficulty to distinguish fingerprint feature by using traditional RSS fingerprint, a new URSS fingerprint based on the unit signal strength ratio is presented in this paper. Compared with the traditional RSS mean fingerprints, the results of experimental indicate the URSS fingerprint not only has the ability of suppressing fingerprint fluctuation, enhances the stability of the fingerprint, but also can enhance their ability to distinguish between similar fingerprints, and eventually improve the accuracy on location phase.

Efficient Vertical Handoff Algorithm for Mission-Critical Management

In the Global scenario, a variety of wireless access networks are available. Heterogeneous Wireless Networks is an integration of two different networks (Cellular and WLAN). When connections need to migrate between heterogeneous networks, vertical handoff is required to provide the best performance and better QoS. With reference to the performance of VHO, there is an acute need to develop algorithm for Mission Critical Management and thus improving network performance. During disaster management operations, there is a possibility of a failure in network connectivity of the corresponding MN. So there is an inefficient system, where lot of casualties are to be reported while there is loss of communication. Due to the above reason, the MN initiates the handoff triggering to the neighboring network. In this work, a VHO decision algorithm is proposed based on the markov model. The proposed M-OPTG algorithm is selecting a network based on the load, battery life time of the MN and call dropping rate. The M-OPTG enables a wireless access network to balance the overall load among all attachment points, which improves battery life time of MN, reduces call drop probability, reducing the handoff delay and thus improving the system throughput. This algorithm gives better result when compared to traditional RSS method and OPTG.