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Muthukumar, A.
- Effect of Bacterial Antagonists against Tuber Rot of Tuberose Caused by Fusarium oxysporum
Abstract Views :212 |
PDF Views:114
Authors
Affiliations
1 Department of Plant Pathology, Annamalai University, Annamalainagar-608002, Tamil Nadu, IN
2 Department of Plant Pathology, Tamil Nadu Agricultural University, Coimbatore-641003, Tamil Nadu, IN
1 Department of Plant Pathology, Annamalai University, Annamalainagar-608002, Tamil Nadu, IN
2 Department of Plant Pathology, Tamil Nadu Agricultural University, Coimbatore-641003, Tamil Nadu, IN
Source
Journal of Biological Control, Vol 21, No 2 (2007), Pagination: 309-312Abstract
Three bacterial antagonists, viz. Pseudomonas fluorescent, Serratia marcescens and Bacillus subtilis, were evaluated against Fusarium oxysporum, the cause of tuber rot in tuberose (Polyanthes tuberosa L.) in vitro and in glasshouse conditions. In dual culture P. fluorescens reduced the growth of pathogen to an extent of 51.78 per cent over control, while S. marcescens and B. subtilis reduced the growth of the pathogen to the extent of 48.75 and 41.76 per cent over control, respectively. Tuber treatment with talc based formulation of P. fluorescens, S. marcescens and B. subtilis @ 10g kg−1 significantly enhanced the germination percentage of tuberose under glasshouse conditions. Among the bacterial antagonists tested, P. fluorescens @ 10g kg−1 significantly reduced the incidence of tuber rot (67.81 % over control) at 80 days after planting and increased the shoot and ischolar_main length by 127.67 percent and 128.13 percent over control.Keywords
Bacillus subtilis, Fusarium oxysporum, Pseudomonas fluorescens, Serratia marcescens, Tuberose, Tuber Rot.Full Text
- Efficacy of Anti-Microbial Metabolites of Pseudomonas fluorescens (Trevisan) Migula against Rhizoctonia solani kuhn. and Pythium sp.
Abstract Views :195 |
PDF Views:135
Authors
Affiliations
1 Department of Plant Pathology, Annamalai University, Annamalainagar 608 002, Tamil Nadu, IN
2 Coconut Research Station, Veppankulam, Tamil Nadu Agricultural University, Coimbatore, IN
1 Department of Plant Pathology, Annamalai University, Annamalainagar 608 002, Tamil Nadu, IN
2 Coconut Research Station, Veppankulam, Tamil Nadu Agricultural University, Coimbatore, IN
Source
Journal of Biological Control, Vol 21, No 1 (2007), Pagination: 105-110Abstract
Pseudomonas fluorescens isolate (1-12) were collected from the rhizosphere soil and tested for their efficacy against Rhizoctonia solani causing sheath blight of rice and Pythium sp, causing damping-off of chilli. Among the 12 isolates, P. fluorescens 3 and 4 were very effective in inhibiting the mycelial growth of R. solani and Pythium sp. All the 12 isolates of P. fluorescens were tested for (he production of siderophore, salicylic acid and HCN. The isolates of P. fluorescens 3 and 4 alone showed higher production of siderophore, salicylic acid and hydrogen cyanideKeywords
Hydrogen Cyanide, Pseudomonas fluorescens, Pythium sp., Rhizoctonia solani, Salicylic Acid, Siderophore.Full Text
- Multimodal Biometric Authentication Using Particle Swarm Optimization Algorithm with Fingerprint and IRIS
Abstract Views :171 |
PDF Views:0
Authors
Affiliations
1 Department of Electronics and Communication Engineering, Kalasalingam University, IN
2 Department of Electronics and Communication Engineering, Madurai Institute of Engineering and Technology, IN
3 Department of Electrical and Electronics Engineering, Kalasalingam University, IN
1 Department of Electronics and Communication Engineering, Kalasalingam University, IN
2 Department of Electronics and Communication Engineering, Madurai Institute of Engineering and Technology, IN
3 Department of Electrical and Electronics Engineering, Kalasalingam University, IN
Source
ICTACT Journal on Image and Video Processing, Vol 2, No 3 (2012), Pagination: 369-374Abstract
In general, the identification and verification are done by passwords, pin number, etc., which is easily cracked by others. In order to overcome this issue biometrics is a unique tool for authenticate an individual person. Nevertheless, unimodal biometric is suffered due to noise, intra class variations, spoof attacks, non-universality and some other attacks. In order to avoid these attacks, the multimodal biometrics i.e. combining of more modalities is adapted. In a biometric authentication system, the acceptance or rejection of an entity is dependent on the similarity score falling above or below the threshold. Hence this paper has focused on the security of the biometric system, because compromised biometric templates cannot be revoked or reissued and also this paper has proposed a multimodal system based on an evolutionary algorithm, Particle Swarm Optimization that adapts for varying security environments. With these two concerns, this paper had developed a design incorporating adaptability, authenticity and security.Keywords
Multibiometric, Cryptosystem, Score Level Fusion, PSO Algorithm, Feature Extraction.
- Finger Knuckle Print Recognition With Sift and K-Means Algorithm
Abstract Views :165 |
PDF Views:0
Authors
A. Muthukumar
1,
S. Kannan
2
Affiliations
1 Department of Electronics and Communication Engineering, Kalasalingam University, IN
2 Department of Electrical and Electronics Engineering, Kalasalingam University, IN
1 Department of Electronics and Communication Engineering, Kalasalingam University, IN
2 Department of Electrical and Electronics Engineering, Kalasalingam University, IN
Source
ICTACT Journal on Image and Video Processing, Vol 3, No 3 (2013), Pagination: 583-588Abstract
In general, the identification and verification are done by passwords, pin number, etc., which is easily cracked by others. Biometrics is a powerful and unique tool based on the anatomical and behavioral characteristics of the human beings in order to prove their authentication. This paper proposes a novel recognition methodology of biometrics named as Finger Knuckle print (FKP). Hence this paper has focused on the extraction of features of Finger knuckle print using Scale Invariant Feature Transform (SIFT), and the key points are derived from FKP are clustered using K-Means Algorithm. The centroid of K-Means is stored in the database which is compared with the query FKP K-Means centroid value to prove the recognition and authentication. The comparison is based on the XOR operation. Hence this paper provides a novel recognition method to provide authentication. Results are performed on the PolyU FKP database to check the proposed FKP recognition method.Keywords
Biometric, SIFT Algorithm, Feature Extraction, K-Means Algorithm.- Implementation of a Hybrid Ring Oscillator Physical Unclonable Function
Abstract Views :243 |
PDF Views:0
Authors
Affiliations
1 Department of Electronics and Communication Engineering, Mepco Schlenk Engineering College, IN
2 Department of Electronics and Communication Engineering, Kalasalingam University, IN
1 Department of Electronics and Communication Engineering, Mepco Schlenk Engineering College, IN
2 Department of Electronics and Communication Engineering, Kalasalingam University, IN
Source
ICTACT Journal on Microelectronics, Vol 4, No 2 (2018), Pagination: 602-607Abstract
Developing a hybrid ring oscillator based Physical Unclonable Function (PUF) in FPGA is the main work of this paper. Each structure has its own virtuous characteristics thus the desirable characteristics are selected from each PUF then they are combined together to get the hybrid PUF structure. Mainly PUF structures are used as random number generator which should be same at all the generation times. This property makes the circuit suitable for secure cryptographic structure applications. In this paper hybrid ring oscillator structure is proposed for enhancing uniqueness and reliability. The experiments were conducted on Xilinx FPGA’s with the certain challenging set and produce unique response only for the concerned chip. In the experimental analysis, the proposed design increases the circuit complexity, but the power consumption seems to be same with the traditional designs.Keywords
Hardware Security, Uniqueness, Random Number Generation, Intrinsic PUFs, IP Protection, IC Authentication.References
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