BIO INFORMATICS AND BIO SCIENCE Research 2018-2019

S. M. Anzar and P. S. Sathidevi

ABSTRACT
The efficiency of a multibiometric system can be improved by weighting the scores obtained from the degraded modalities in an appropriate manner. In this paper, we propose an efficient PSO (Particle Swarm Optimization) based integration weight optimization scheme using d-prime statistics to determine the optimal weight factors for the complementary modalities, under different noise conditions. Instead of treating the weight estimation process from an algebraic point of view, an attempt is made to consider the same from the principles of linear programming techniques. The performance of the proposed method is analysed in the context of fingerprint and voice biometrics using sum rule of fusion. The d-prime statistics of fingerprint and voice modalities are measured and the integration weights are computed as the ratio of these two statistics. The computed d-prime ratio is then optimized against the recognition accuracy. The optimizing parameter is estimated in the training/validation phase using Leave-One-Out Cross Validation (LOOCV) technique. Experimental studies show that the proposed method improves recognition rate under normal operating conditions and reduces the FAR (False Acceptance Rate) considerably even at extreme low SNR (Signal to Noise Ratio) conditions. The proposed biometric solution can be easily integrated into any multibiometric system with score level fusion. Moreover, it finds extremely useful in applications where there are less number of available training samples.

KEYWORDS

Multibiometric System, Integration Weight, d-prime Statistics, Particle Swarm Optimization, Robustness

For More Details: https://wireilla.com/papers/ijbb/V2N3/2312ijbb04.pdf

Subhomoi Borkotoky

Abstract

HIV integrase is a 32 kDa protein produced from the C-terminal portion of the Pol gene product, and is an attractive target for new anti-HIV drugs. Integrase is an enzyme produced by a retrovirus (such as HIV) that enables its genetic material to be integrated into the DNA of the infected cell. Raltegravir and Elvitegravir are two important drugs against integrase.

Keywords

Integrase, Chemsketch, Virtual screening.

For more Details: https://wireilla.com/papers/ijbb/V2N3/2312ijbb03.pdf

Srinivas Koppu, V. Madhu Viswanatham and Kamalakannan

ABSTRACT

This paper identifies the different kinds of methods, which helps human to communicate with computer. Traditionally the user interacting with computer via command line or GUI or common hand-held devices such as mouse and keyboard which is not feasible for a handicapped or a blind or a mute people. In order to interact with computer, the good interface required, the interface is sub part of human computer Interaction (HCI). HCI not only software design, it also concentrates on design of hardware devices. Describe the interaction between Brain and Computer based on EEG patterns. Brain generates EEG signal Based upon that system has to act and it has to perform tasks like human in real world. Thus the research work that is proposed would be to build a human to computer interaction through EEG signal. The system that allow the user to interact directly brain to computer based EEG signal and no need to use any input device to interact with any type of systems such are computer , TV’s. This way the computer
system can reduce the man work needed to feed information into the system by a large extent.

KEYWORDS

EEG signal, Brain Computer Interface (BCI), Human Computer Interaction (HCI), Speech Recognizer, Neural Networks, Cognitive Science.

For More Details: https://wireilla.com/papers/ijbb/V2N3/2312ijbb02.pdf

Guillaume Koum¹ and Josiane Etang

Abstract

A geo-ontology can be built around a Geographic Information System (GIS) and enriched with a firstorder logic language under the closed-world assumption (CWA). This extended system provides knowledge representation formalisms that are aimed to describe general conceptual information. They can also be used in the construction of the knowledge base of a reasoning tool. In this paper an environment is defined where a geo-ontology offers possibilities with a system that allows users to represent and reason about some aspects of the real world. With respect to the added intelligence; knowledge is preserved and enhanced. Knowledge enhancement is performed under the CWA in a subset of the first-order logic language. A geo-reasoning task is undertaken so that a GIS and a geo-ontology are integrated in what can correspond to a natural language processing system. The framework is implemented to demonstrate geo-ontology’s ability to enhance knowledge in malaria control domain.

Keywords

geographic information system, geo-ontology; closed-world assumption, geo-reasoning, malaria control

For more details: https://wireilla.com/papers/ijbb/V2N3/2312ijbb01.pdf

Shashank Rana, Shrikant Sharma and Raghvendar Singh

Abstract
Lactoferrin is an iron binding globular protein with antimicrobial activity was firstly isolated in bovine milk. Lactoferrin (LF) is structurally similar to the transferrins. So it is also known as lactotransferrin (LTF) is a globular multifunctional protein. Our work was on motif discovery by using OOPS modal of MEME (Multiple EM for Motif Elicitation) tool. The aim of motif discovery is to detect short, highly conserved patterns in a collection of unaligned DNA or protein sequences. We have taken fifteen LTF AA sequencesfrom different resources.By analysis of these sequences, three motifs were retrieved. It is to be noted that all fifteen sequences contains all three motifs but start points of those are different. Each motif has 15 sites and 50 widths. On the bases of motif analysis, it is distinct that LTF retrieved from any milk recourse, have common conserved patterns.

Keywords

MEME, LTF, OOPS, Conserved pattern, MAST

For More Details: https://wireilla.com/papers/ijbb/V2N4/2412ijbb03.pdf

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