BIO INFORMATICS AND BIO SCIENCE Research 2018-2019

Hossein Jadidoleslamy

ABSTRACT
People authentication based on fingerprint is one of the most important people authentication techniques which it used biology specifications. The main purpose of this paper is discussing on minutiae-based extraction methods for fingerprints comparison and presenting a new pattern matching algorithm in this area; of course, this algorithm also has been presented based on comparing fingerprint features (especially minutiae points).

KEYWORDS

Biometric, Fingerprint, Minutiae, Automated Fingerprint Identification System (AFIS), Extraction, Matching

For More Details: https://wireilla.com/papers/ijbb/V2N4/2412ijbb02.pdf

João Fradinho Oliveira, Hugo Capote, José Blas Pagador, José Luis Moyano, Cuevas, Francisco Miguel Sánchez Margallo

ABSTRACT
Minimally invasive surgery has become a widely used surgical technique that improves patients’ safety and optimizes health resources. Specifically, laparoscopic surgery uses small incisions through the abdomen to operate, for example a liver, with minimal postoperative complications and faster recoveries. However, the cognitive load and surgical skills required by surgeons increase when compared to open surgery. For these reasons, specific training models and new technologies are needed to assist surgeons. One of this kind of systems are Computer Assisted Surgery systems that enable the display of computer generated imagery of pre- and intra-operative data to assist surgeons during its surgical procedures, but in many hospitals either they are not used at a basic level due to socio-economic challenges or components still face considerable technical challenges that must be solved. In this paper we list some of the difficulties that CAS components face during a laparoscopic surgery and highlight the benefits that a new job profile, the computer assisted surgery system nurse could bring in several modelling and tracking scenarios.

KEYWORDS

Laparoscopic surgery, 3D reconstruction, navigation, tracking, computer assisted surgery system nurse

For More Details: https://wireilla.com/papers/ijbb/V2N4/2412ijbb01.pdf

Raja Mohamed S and Raviraj P

ABSTRACT
Robot design complexity is increasing day by day especially in automated industries. In this paper we propose biologically inspired design framework for robots in dynamic world on the basis of Co-Evolution, Virtual Ecology, Life time learning which are derived from biological creatures. We have created a virtual khepera robot in Framsticks and tested its operational credibility in terms hardware and software components by applying the above suggested techniques. Monitoring complex and non complex behaviors in different environments and obtaining the parameters that influence software and hardware design of the robot that influence anticipated and unanticipated failures, control programs of robot generation are the major concerns of our techniques.

KEYWORDS

Biology, Khepera, Framsticks, Framework, Simulation.

For More Details: https://wireilla.com/papers/ijbb/V1N1/1011ijbb03.pdf

Shrikant Sharma, Shashank Rana

Abstract

In-silico study was carried out to study motifs present in precursors of antimicrobial, antithrombotic, casein derived and mineral binding bioactive peptides by using online servers. MEME suite was used for defining the common consensus pattern present in bioactive peptides precursors. It was found that although three different consensus patterns was identified in precursors but theses consensus pattern overlapped in many sequences and all three motifs may be present in many peptides precursor sequences.

Keywords

In-Silico study, Bio-active peptides, MEME Suite, Consensus pattern.

For More Details: https://wireilla.com/papers/ijbb/V1N1/1011ijbb02.pdf

https://wireilla.com/ijbb/vol1.html

 

Sundarapandian Vaidyanathan

ABSTRACT

The Lotka-Volterra equations are a system of equations proposed to provide a simplified model of twospecies predator-prey population dynamics. In this paper, we investigate the problem of adaptive chaos control and synchronization of a generalized Lotka-Volterra system discovered by Samardzija and Greller (1988). The Samardzija-Greller model is a two-predator, one-prey generalization of the Lotka-Volterra system. First, adaptive control laws are designed to stabilize the generalized Lotka-Volterra system to its unstable equilibrium point at the origin based on the adaptive control theory and Lyapunov stability theory. Then adaptive control laws are derived to achieve global chaos synchronization of identical generalized Lotka-Volterra systems with unknown parameters. Numerical simulations are shown to validate and demonstrate the effectiveness of the proposed adaptive control and synchronization schemes for the generalized Lotka-Volterra system.

KEYWORDS

Adaptive Control, Stabilization, Chaos Synchronization, Generalized Lotka-Volterra Chaotic System.

For More Details: https://wireilla.com/papers/ijbb/V1N1/1011ijbb01.pdf

https://wireilla.com/ijbb/vol1.html