A study on non-destructive method for detecting Toxin in pepper using Neural networks

Mycotoxin contamination in certain agricultural systems have been a serious concern for human and animal health. Mycotoxins are toxic substances produced mostly as secondary metabolites by fungi that grow on seeds and feed in the field, or in storage. The food-borne Mycotoxins likely to be of greatest significance for human health in tropical developing countries are Aflatoxins and Fumonisins. Chili pepper is also prone to Aflatoxin contamination during harvesting, production and storage periods.Various methods used for detection of Mycotoxins give accurate results, but they are slow, expensive and destructive. Destructive method is testing a material that degrades the sample under investigation. Whereas, non-destructive testing will, after testing, allow the part to be used for its intended purpose. Ultrasonic methods, Multispectral image processing methods, Terahertz methods, X-ray and Thermography have been very popular in nondestructive testing and characterization of materials and health monitoring. Image processing methods are used to improve the visual quality of the pictures and to extract useful information from them. In this proposed work, the chili pepper samples will be collected, and the X-ray, multispectral images of the samples will be processed using image processing methods. The term "Computational Intelligence" referred as simulation of human intelligence on computers. It is also called as "Artificial Intelligence" (AI) approach. The techniques used in AI approach are Neural network, Fuzzy logic and evolutionary computation. Finally, the computational intelligence method will be used in addition to image processing to provide best, high performance and accurate results for detecting the Mycotoxin level in the samples collected.Comment: 11 pages,1 figure; International Journal of Artificial Intelligence & Applications (IJAIA), Vol.3, No.4, July 201

Optimized connected Median filter using Particle Swarm Optimization

In the image processing Median filter were used to remove the impulse noise. It preserves the edges for the next level operations such as segmentation and object recognition. The present paper deals with the preprocessing of chili x-ray images. The researcher has already preprocessed the chili x-ray images by adopting the Average filter, Median filter, Wiener filter, Gamma intensity correction, CLAHE, 4-connected Median filter and weighted 4-connected median filter. The result of the above stated preprocess methods to contain noise in the pixels, hence it is considered as unsuitable for next level operations. To remove such noise from the image, this paper contributes a precise and well-organized algorithm. The proposed noise removal algorithm replaces the noisy pixels by using ‘4-connected median value’ and replaces the remaining pixels by using ‘weighted 4-connected median value’ in the selected window. The replacement of middle pixel value in 4-connected median filter is done through particle swarm optimization algorithm. Peak Signal to Noise Ratio used as the fitness function in the particle swarm optimization algorithm. The performance measures were taken for all the noise removal algorithm. Among the various results obtained, the proposed algorithm works better than others

Alterations in sialic acid in the epididymis of the puberal rat in response to changes in functional activity of the testis

This article does not have an abstract

Stimulation of nucleic acid and protein synthesis in the epididymis and accessory organs of the rat by testosterone

The effects of a single dose of testosterone on the content of DNA, RNA and protein and the incorporation of [3H]phenylalanine into protein in the epididymis, vas deferens and ventral prostate of the rat were studied. A single dose of testosterone did not increase the weights of the accessory organs but restored the incorporation of [3H]phenylalanine into proteins in the caput, corpus and cauda epididymides, vas deferens and ventral prostate to the normal level. Within 1 h of hormone administration, significant increases in the content of DNA, RNA and protein were noticed in the cauda epididymidis and ventral prostate. The caput and corpus epididymides and vas deferens showed decreasing order of responsiveness to testosterone. These data are discussed with respect to the relative responsiveness of these organs to reinitiation of their function by administration of a single dose of testosterone. The new protein(s) synthesized in response to hormonal stimulation associated with growth and secretory activity of the cells may be different from the new protein macromolecules synthesized after hormone withdrawal or inhibition of hormone action which are involved in autolytic processes

Ethnomedicinal Plants Survey and Documentation Related to Paliyar Community

The present study is mainly focused on the ethnomedico botany of the tribe Paliyars a dominant ethnic group inhabiting the Western Ghats (Off Shoots) of Sirumalai Hills, Dindigul district. Tamil Nadu. In the present study the focus is on survey, documentation and enumeration of the medicinal plants practiced by the tribal Paliyars, As an outcome of the present investigations 30 plants have been identified and documented. The life style of the Paliyar was also studied

An Intelligent Genetic Algorithm for Mining Classification Rules in Large Datasets

Genetic algorithm is a popular classification algorithm which creates a random population of candidate solutions and makes them to evolve into a suitable accurate solution for a given problem by processing them iteratively for several generations. During each generation the training data set is accessed by the genetic algorithm only for the population member's fitness calculation and no other extra knowledge about the problem domain is extracted from the training data set. Even the domain knowledge stored in the chromosome code of the population may be lost in the future generations due to genetic operations. All the genetic operations like crossover and mutation are probability based and they do not depend upon the domain knowledge. This phenomenon makes the genetic algorithm to converge slowly. This paper proposes a genetic algorithm which tries to gain maximum knowledge in between the generations and store them in the form of knowledge chromosomes. The gained knowledge is used to make predictions about the search space and to guide the search process to an area with potential solutions in the subsequent generations. This makes the genetic algorithm to converge quickly which in turn reduces the learning cost. The experiments show that the run time is reduced considerably when compared with the state-of-the-art evolutionary algorithm

ANTIBACTERIAL POTENTIAL OF ESSENTIAL OILS DERIVED FROM NATURAL, CALLUS AND IN-VITRO PROPAGATED SOURCES OF MELALEUCA ALTERNIFOLIA AGAINST COMMON BACTERIAL PATHOGENS

Objective: Melaleuca alternifolia (M. alternifolia) and its essential oil (EO) fractions have been used widely and traditionally in the treatment of various infectious diseases and hence its antibacterial potential is investigated in the present study. Methods: The antibacterial activity was studied through the agar disc diffusion method and broth dilution method, DNA fragmentation studies and confocal microscopy morphological studies were done. In-silico molecular interaction was studied against microbial target using docking software. Results: The inhibitory concentration of the EOs was recorded at 75% dilution with larger inhibition zones. The DNA fragmentation analyzed in the essential oil derived from in-vitro propagated leaves (EOIPL) of M. alternifolia treated bacterial cultures was compared with negative and positive controls. In Minimum Inhibitory Concentration (MIC) of EOIPL treated Staphylococcus aureus (S. aureus) showed time-dependent growth inhibition. The DNA content in the EOIPL treated bacterial cultures was comparatively less than in control cultures. The cell morphology changes of S. aureus cells were studied through confocal laser scanning microscopic analysis which showed a significant decrease in viable bacterial cells. The active component, terpinen-4-ol docked to autolysin receptor revealed stable interaction with the microbial target. Conclusion: Thus EOIPL was explored to possess bactericidal activity against common infectious bacteria and could in incorporated in therapeutic natural antibiotic formulations as with future studies

Novel Sampling Algorithm for Human Mobility-Based Mobile Phone Sensing

Smart phones or mobile phones enabled with global positioning system (GPS), different types of sensors, and communication technologies have become ubiquitous application development platform for Internet of Things (IoT) and new sensing technologies. Improving sensing area coverage, reducing overlap of sensing area, and energy consumption are important issues under mobile phone sensing. This paper presents human mobility-based mobile phone sensors sampling algorithm. Human mobility patterns and geographical constraints have an impact on performance of mobile phone sensing applications. The real-outdoor location traces of volunteers, collected using GPS-enabled mobile phones are used for performance analysis of proposed work. The proposed mobile phone sensor sampling algorithm considers velocity of human mobility as an important parameter for improving sensing area coverage and reduction of energy consumption. To an extent overlap between sensing area coverage is allowed to overcome, the reduction of sensor data samples caused by spatial regularities of human mobility. The performance is analyzed and evaluated by considering general regular sampling and proposed sampling method for mobile phone sensing activity. The results show that for normal human walking velocity (<;1.5 m/s) proposed mobile phone sensor sampling algorithm performs better in terms of sensing area coverage and reduction of battery energy consumption for mobile phone sensing activity