BIOMETRIC SYSTEM PENETRATION IN RESOURCE
CONSTRAINED MOBILE DEVICE

M.SUJITHRA1 AND DR G. PADMAVATHI 2
1Assistant Professor, Department of Computer Technology & Applications,
Coimbatore Institute of Technology,
2Professor& Head, Department of Computer Science,
Avinashilingam Institute for Home Science and Higher Education for Women,
Coimbatore, Tamil Nadu, India.

ABSTRACT
Over the past few years, the usage of mobile devices to access data hasbecoming more frequent, and the usage of mobile devices in the applications such as web-browsing, email, multimedia, entertainment applications (games, videos, and audios), navigation, trading stocks, electronic purchase, banking and health care are increased, therefore data security is essential and also it becomes a challenge in securing the data in the mobile device. User authentication schemes such as Password or Personal Identificatio Number (PIN) based authentication in mobile device is a difficult process for providing safe access to precious, private information or personalized services. To address these problems in the mobile devices, biometric system can be developed which are more secure, affordable and memorable authentication scheme based on graphical assistance, images and audio. We believe that biometric authentication is the most secure approach among other authentication mechanism. This paper discusses the various features of biometrics and mobile device security threats.

KEYWORDS
Biometrics, Mobile Device, Authentication, Threats, Security

Volume URL; https://wireilla.com/ijbb/vol3.html

PDF URL; https://wireilla.com/papers/ijbb/V3N1/3113ijbb04.pdf

SRAMM: SHORT READ ALIGNMENT MAPPING METRICS

Alvin Chon and Xiaoqiu Huang

1Bioinformatics and Computational Biology Graduate Program, Iowa State
University, Ames, IA 50010, USA
2Department of Computer Science, Iowa State University, Ames, IA 50010, USA

ABSTRACT

Short Read Alignment Mapping Metrics (SRAMM): is an efficient and versatile command line tool providing additional short read mapping metrics, filtering, and graphs. Short read aligners report MAPing Quality (MAPQ), but these methods generally are neither standardized nor well described in literature or software manuals. Additionally, third party mapping quality programs are typically computationally intensive or designed for specific applications. SRAMM efficiently generates multiple different concept-based mapping scores to provide for an informative post alignment examination and filtering process of aligned short reads for various downstream applications. SRAMM is compatible with Python 2.6+ and Python 3.6+ on all operating systems. It works with any short read aligner that generates SAM/BAM/CRAM file outputs and reports ‘AS’ tags. It is freely available under the MIT license at http://github.com/achon/sramm.

KEYWORDS

Bioinformatics, ngs, short read alignments, mapq, quality filtering

For More details: https://wireilla.com/papers/ijbb/V11N2/11221ijbb01.pdf

TI Implant Hole Quality Improvement with new Tool Designed

Quanli Han and Dongchen Han

ABSTRACT
Ti-implant is drilled to get hole in nearly each operation and hole quality took great effect on success of operation .This paper aims at the research of drilling characteristics of through hole on ti-implant, specially the macro-burrs formed after drilling which determined the cost of implant largely. Series experiments were conducted to analysis the effect of processing parameter on formed burr, particularly the axial feed, had a great effect on volume burr. Experiments finds that, the volume of burr at hole entrant is less than that at hole exit, and the burr volume has great effect on workpiece quality and product cost, the burr height formed easily decreases because great attention from scholars and engineers has been paid to, while the burr width size despised naturally plays a great influence on product quality and machining cost. Finally, The new de-burring tool are designed and applied in experiment, the decrease in burr width is obviously found, so the removal of burrs becomes much little than that gotten in traditional tool. The result indicates a promising future of de-burring in practical application.

KEYWORDS

Drilling, Burr, De-Burr, Hole Exit, Hole Entrance.

For More Details: https://wireilla.com/papers/ijbb/V9N1/9119ijbb01.pdf

Survey on Modelling Methods Applicable to Gene Regulatory Network

Chanda Panse and Manali Kshirsagar

ABSTRACT

Gene Regulatory Network (GRN) plays an important role in knowing insight of cellular life cycle. It gives information about at which different environmental conditions genes of particular interest get over expressed or under expressed. Modelling of GRN is nothing but finding interactive relationships between genes. Interaction can be positive or negative. For inference of GRN, time series data provided by Microarray technology is used. Key factors to be considered while constructing GRN are scalability, robustness, reliability and maximum detection of true positive interactions between genes. This paper gives detailed technical review of existing methods applied for building of GRN along with scope for future work.

KEYWORDS

Gene Regulatory Network, Microarray, robustness, scalability, reliability

For More Details: https://wireilla.com/papers/ijbb/V3N3/3313ijbb02.pdf

A Morphological Multiphase Active Contour for Vascular Segmentation

Victoria L. Fox, Mariofana Milanova and Salim Al-Ali

ABSTRACT

This paper presents a morphological active contour ideal for vascular segmentation in biomedical images. The unenhanced images of vessels and background are successfully segmented using a two-step morphological active contour based upon Chan and Vese’s Active Contour without Edges. Using dilation and erosion as an approximation of curve evolution, the contour provides an efficient, simple, and robust alternative to solving partial differential equations used by traditional level-set Active Contour models. The
proposed method is demonstrated with segmented data set images and compared to results garnered from multiphase Active Contour without Edges, morphological watershed, and Fuzzy C-means segmentations.

KEYWORDS

Active Contour, Morphology, Segmentation, Curve Evolution

For More details: https://wireilla.com/papers/ijbb/V3N3/3313ijbb01.pdf

Sliding Mode Controller Design for The Global Chaos Synchronization of Rucklidge Chaotic Systems

Sundarapandian Vaidyanathan

ABSTRACT

This paper describes the design of sliding mode controller for the global chaos synchronization of identical Rucklidge chaotic systems (Rucklidge, 1992). Rucklidge chaotic system is one of the paradigms of threedimensional chaotic systems. The stability results derived in this paper for the complete synchronization of the identical Rucklidge chaotic systems via sliding mode control are established using Lyapunov stability theory. Since the Lyapunov exponents are not required for these calculations, the sliding mode control method is very effective and convenient to achieve global chaos synchronization of Rucklidge chaotic systems. Numerical simulations are presented to demonstrate the effectiveness of to the synchronization schemes derived in this paper for the identical Rucklidge chaotic systems.

KEYWORDS
Sliding Mode Control, Chaos Synchronization, Chaotic Systems, Rucklidge Systems

For More details: https://wireilla.com/papers/ijbb/V2N1/2112ijbb03.pdf

E-Passport Scheme using Authentication Protocols along with Face, Fingerprint, Palmprint and Iris biometrics

V.K. Narendira Kumar and B. Srinivasan

ABSTRACT

Electronic passports have known a wide and fast deployment all around the world since the International Civil Aviation Organization the world has adopted standards whereby passports can store biometric identifiers. The use of biometrics for identification has the potential to make the lives easier, and the world people live in a safer place. The purpose of biometric passports is to prevent the illegal entry of traveler into a specific country and limit the use of counterfeit documents by more accurate identification of an individual. This paper analyses the face, fingerprint, palmprint and iris biometric e-passport design. This papers focus on privacy and personal security of bearers of e-passports, the actual security benefit countries obtained by the introduction of e-passports using face, fingerprint, palmprint and iris recognition systems. Researcher analyzed its main cryptographic features; the face fingerprint, palmprint and iris biometrics currently used with e-passports and considered the surrounding procedures. The paper also provides a security analysis of the e-passport using face fingerprint, palmprint and iris biometric that are intended to provide improved security in protecting biometric information of the epassport bearer.

KEYWORDS

E-Passport, Biometrics, Cryptographic, Face, Fingerprint, Palmprint and Iris.

For More Details: https://wireilla.com/papers/ijbb/V2N1/2112ijbb02.pdf

Intra-Body Hybrid Communication Scheme for Healthcare Systems

Abdullah Alshehab,Chiu Tung Wu, Nao Kobayashi

ABSTRACT
Intra-body communication (IBC) is a type of Body Area Network (BAN)that utilizes human body as the medium for data transmission. Thelow power requirements of intra-body communication (IBC) as compared to near field electromagnetic waves showed that it can be a suitable solution for Medical Body AreaNetworks (MBANs) in a mobile health care system.In this paper, we investigate the transmission characteristicsof the human body as a conductor of signals byconsidering different datatransmission rates of multi-point to point network in order to reduce overall power consumption of the BAN.Furthermore, we utilize IBC and propose a new scheme to combines Slotted ALOHA, TDMA, and Reservation ALOHA together to increase the throughput and decrease the delay. By using our new hybrid scheme with the movable boundary designed for health status monitoring, we are able to increase the efficiency of data transmission by prioritizing the more critical data from the sensors.

KEYWORDS

Body area network, Intra-body communications, Hybrid communication scheme

For More details: https://wireilla.com/papers/ijbb/V2N1/2112ijbb01.pdf

Nature Inspired Algorithms To Solve DNA Fragment Assembly Problem: A Survey

Indumathy R and Uma Maheswari S

ABSTRACT

Evolutionary search algorithms are becoming an essential advantage in the algorithmic toolbox for solving multi-dimensional optimization problems in a wide range of bioinformatics problems such as Genome fragment assembly which is a NP-hard problem. In computational biology, one of the most challenging problems is to reconstruct the original DNA sequence from a huge number of fragments, each one being numerous hundred base-pairs (bps) long. Recently it has become common for the
researchers to apply the heuristic search algorithms to solve these kinds of complex problems with the help of combinatorial optimization. A genetic algorithm, the most well-known and representative evolutionary search technique has been the subject of the major part of such applications. Despite the fact that there have been different methods available in the literature, researchers are still facing difficulties in choosing the best method that could solve these problems efficiently and effectively. This paper aims to analyses the existing algorithms, evaluate them, point out the faults of these works and specify the emerging trend.

KEYWORDS

Computational Biology, Human Genome Project, Optimization Problem, DNA Fragment
Assembly, Genetic Algorithms

For More Details: https://wireilla.com/papers/ijbb/V2N2/2212ijbb05.pdf

Method FCMSPimpute for Estimation of Missing Values in Microarray Data

Shekofeh Yaraghi and Mohammad Davarpanah Jazi

ABSTRACT
Gene expression microarray experiments produce datasets with numerous missing expression value, which can significantly affect the performance of statistical and machine learning algorithms. In this paper, we proposed a novel method based on the fuzzy clustering and the shortest path algorithm for measuring the semantic similarity on GO to estimate missing value to microarray gene expression. In this proposed method, missing values are imputed with values generated from cluster centers. Genes similarity in clustering process resolute based on both the GO structure information and, s property. We have applied the proposed method on two datasets with different percentages of missing values. The experimental results indicate that proposed method provides a higher accuracy of missing value estimation because the semantic similarity obtained by sp algorithm better correlates with the expression similarity than other node-based methods.

KEYWORDS

Missing Value; Semantic Similarity; Fuzzy Clustering; Microarray

For More Details: https://wireilla.com/papers/ijbb/V2N2/2212ijbb04.pdf

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