Sparse Coding: A Deep Learning using Unlabeled Data for High - Level Representation

Sparse coding algorithm is an learning algorithm mainly for unsupervised feature for finding succinct, a little above high - level Representation of inputs, and it has successfully given a way for Deep learning. Our objective is to use High - Level Representation data in form of unlabeled category to help unsupervised learning task. when compared with labeled data, unlabeled data is easier to acquire because, unlike labeled data it does not follow some particular class labels. This really makes the Deep learning wider and applicable to practical problems and learning. The main problem with sparse coding is it uses Quadratic loss function and Gaussian noise mode. So, its performs is very poor when binary or integer value or other Non- Gaussian type data is applied. Thus first we propose an algorithm for solving the L1 - regularized convex optimization algorithm for the problem to allow High - Level Representation of unlabeled data. Through this we derive a optimal solution for describing an approach to Deep learning algorithm by using sparse code.Comment: 4 Pages, 3 Figures, 2014 World Congress on Computing and Communication Technologies (WCCCT

Genome wide analysis of heat responsive microRNAs in banana during acquired thermo tolerance

MicroRNAs are a class of small regulatory RNAs in plants, which play vital roles during various abiotic and abiotic stress conditions including plant processes. In this present study, we examined the expression of miRNAs and their predicted target expression levels during heat stress in banana. Out of 235 miRNA found in Musa, 40 miRNA showed homology to heat responsive miRNAs from other plants. Further, 14 targets for miRNA were predicted that are potentially regulated by their cognate miRNAs and were monitored under three stages of stress viz, induction, induction + lethal alone using qPCR analysis. The results suggest that generally, there is a negative relationship in the expression patterns of miRNA and their predicted cognate targets - HSP70, HSP90, SAP, DNAj genes. These were highly up regulated and their respective miRNAs showed lower expression. This is the first report in banana, which demonstrated that during induction stress, various thermo-protective genes are activated at initial stages of stress to achieve thermotolerance through altered miRNA expression. The results will help in broadening our understanding acquired thermotolerance and their regulation by miRNAs in plants

Heavy landings of juveniles of Indian scad, Decapterus russelli at Munambam Fisheries Harbour

Among the carangid fishes, the Indian scad, Decapterus russelli is an important pelagic fish and a major commercial species contributing to the marine fisheries of Kerala. The fish is locally called “kozhuchala” and it forms a regular fishery. The species is often caught as by-catch in shrimp trawl nets having cod-end mesh sizes ranging from 15 mm to 20 mm that is operated in the depth range of 55- 90 m almost throughout the year. They are consumed fresh as well as sun dried form

Shuchithwatheeram initiative of Kumbalangi grama panchayat

Kumbalangi, an island village on the outskrits of Cochin city, was selected as one of the model villages by the Kerala Government in 2003. The Kumbalangi integrated tourism village project is intended to transform the hamlet into a model fishing village and tourism spot. The project aims to create job opportunities for the villagers, while also ensuring that the tourists experience real village life. Recognising the challenges and responsibilities normally faced by tourist destinations especially with respect to waste generation, the Panchayath has taken serious efforts in waste management. During the last financial year, the Panchayath initiated a cleanliness drive “Shuchithwa theeram 2017-18” as part of the Haritha Keralam Mission of the State Government, which has helped the village to look clean and attract tourists

Opinion Poll: Big Data Implementation of Unstructured Data Analytics of Social Network Reviews Using Sentiment Analysis SVM

Recent systems developed are dependent on user feedbacks or opinions. These feedbacks or opinions are generated in volumes everyday which are difficult to filter and analyse. We propose Sentiment based analysis is the major key in categorizing the user\u27s Feedback. In thispaper, we study the processing of all the reviews posted in an online shopping application and classify them using SVM. We use big data to analyze the vast amounts of data generated. User reviews are the input to the Big Data HDFS System. Data are stored in the Data Nodes. Index is maintained in the Name Node. Reviews are analyzed using Sentiment Analysis and Positive Negative Tweets are classified. Also products are recommended based on the previous purchases and group notification is sent to all the customers in a group

Bivalve fisheries in Andhra Pradesh

In India states like Kerala and Karnataka have a flourishing bivalve fishery driven by demand for bivalve meat. However, in states like Andhra Pradesh and Tamil Nadu bivalve meat consumption is very negligible and demand is driven by the lime and shell craft industries only. Bivalves are locally known as “Gollalu” in Andhra coast with major species recorded being Crassostrea madrasensis, Saccostrea cucculata, M. meretrix, Meretrix casta, Marcia opima, Paphia malabarica, Tegillarca granosa, T. rhombea and Perna viridis. Mainly distributed along the shallow regions of Gostani estuary and Godavari estuary. In the Gostani estuary, the bivalve fishing grounds are Konadu, Moolaguddu, Nagamayyapalem, Thottepalem, Chinnanagarama, Asipalem, and Gudivada

Omega Production in pp Collisions

A model-independent irreducible tensor formalism which has been developed earlier to analyze measurements of $\vec{p}\vec{p}\to pp \pi^\circ$, is extended to present a theoretical discussion of $\vec{p}\vec{p}\to pp \omega$ and the polarization of $\omega$ in $pp\to pp \vec{\omega}$. The recent measurement of unpolarized differential cross section for $pp\to pp \omega$ is analyzed using this theoretical formalism.Comment: 5 pages (double column), no figures, uses revtex

Allele-specific suppression of the temperature sensitivity of fitA/fitB mutants of Escherichia coli by a new mutation (fitC4): isolation, characterization and its implications in transcription control

The temperature sensitive transcription defective mutant of Escherichia coli originallycalled fitA76 has been shown to harbour two missense mutations namelypheS5 and fit95. In order to obtain a suppressor offitA76, possibly mapping inrpoD locus, a Ts+ derivative (JV4) was isolated from afitA76 mutant. It was found that JV4 neither harbours the lesions present in the original fitA 76 nor a suppressor that maps in or nearrpoD. We show that JV4 harbours a modified form offitA76 (designatedfitA76*) together with its suppressor. The results presented here indicate that thefit95 lesion is intact in the fitA 76* mutant and the modification should be at the position of pheS5. Based on the cotransduction of the suppressor mutation and/or its wild type allelewith pps, aroD andzdj-3124::Tn10 kan we have mapped its location to 39.01 min on theE. coli chromosome. We tentatively designate the locus defined by this new extragenic suppressoras fitC and the suppressor allele asfitC4. While fitC4 could suppress the Ts phenotype of fitA76* present in JV4, it fails to suppress the Ts phenotype of the original fitA76 mutant (harbouringpheS5 and fit95). AlsofitC4 could suppress the Ts phenotype of a strain harbouringonly pheS5. Interestingly, thefitC4 Ts phenotype could also be suppressed byfit95. The pattern of decay of pulse labelled RNA in the strains harbouring fitC4 and the fitA76* resembles that of the original fitA76 mutant implying a transcription defect similar to that offitA76 in both these mutants. The implications of these findings with special reference to transcription control by Fit factors in vivo are discussed