Design and Implementation of a Distributed Encryption System for the Cloud

?Big Data ?- voluminous and variety of data from different sources. The Data can be either in the form of structure (or) unstructured Data. Privacy and security of Big Data is gaining high importance, since all the technologies are started to depend on Big Data. It is difficult to work with using most relational database management systems, desktop statistics and visualization packages since it requires massive parallel software running on tens, hundreds or even thousands of servers. In this paper, we are going to discuss the Hadoop and the method for maintaining the privacy & security of big Data. Originally Hadoop was invented without any security model. The main goal is to propose a Hadoop system that maintains privacy and security at the client system. Advanced Encryption Standard (AES) enables protection to data at each cluster, it performs encryption/decryption before read/write respectively and we are using SHA 1 for user authorization

Reverse Quantum Speed Limit: How Slow Quantum Battery can Discharge?

We introduce the notion of reverse quantum speed limit for arbitrary quantum evolution, which answers a fundamental question: "how slow a quantum system can evolve in time?" Using the geometrical approach to quantum mechanics the fundamental reverse speed limit follows from the fact that the gauge invariant length of the reference section is always greater than the Fubini-Study distance on the projective Hilbert space of the quantum system. We illustrate the reverse speed limit for two-level quantum systems with an external driving Hamiltonian and show that our results hold well. We find one practical application of the reverse speed limit in discharging process of quantum batteries which answers the question: "how slow quantum batteries can discharge?" Also, this provides the lower bound on the discharging power of quantum batteries.Comment: Latex, 8 pages, Comments Welcom

Learning accountability in the public sector: the experience of Kerala

Given that learning has become a core element in addressing the ever-increasing complexities in public sector accountability, we investigate two issues in this paper: (1) how learning was involved in the process of disseminating a competency framework (CF) in four state departments in Kerala, India; and (2) an analysis of the challenges involved in this process, using the theoretical insights from learning accountability. Although the CF would revitalise governance and accountability mechanisms by establishing a conducive environment for administrators to learn in, the nuances of the existing administrative structure limited the scope of this learning exercise. The CF in Kerala generated fear, tension and resistance amongst the administrators, due to a perceived gap between the very objectives of the CF and the administrative settings, in which learning was insignificant. The paper argues that imposing public administrators’ accountability reforms, such as the CF, would be meaningless until an emphasis is placed on learning accountability. Furthermore, there is a need to ‘unlearn’ or ‘discard’ the prevailing traditional learning and accountability practices; unless this is achieved, a conducive environment for learning accountability cannot be institutionalised, nor can reforms such as the CF be materialised

Immunohistochemical expression of podoplanin in oral cancer and oral premalignancy

BACKGROUND: Podplanin is a type-1 transmembrane sialomucin-like glycoprotein that is involved in cell migration, tumor cell invasion and metastasis. It is specifically expressed in lymphatic endothelial cells but not in blood vessel endothelial cells. Recent studies have showed the expression of podoplanin in various malignancies, including oral squamous cell carcinoma, and suggested it as a prognostic marker. AIMS AND OBJECTIVES: To evaluate and correlate the immunohistochemical expression of podoplanin in oral potentially malignant disorders, oral squamous cell carcinoma and normal oral mucosa. MATERIALS AND METHODS: This was a retrospective study including a total of 90 (30 oral potentially malignant disorders, 30 oral squamous cell carcinoma and 30 normal oral mucosa) samples. Immunohistochemical expression of podoplanin was analyzed in formalin fixed paraffin embedded blocks of histopathologically confirmed cases, using monoclonal D2-40 antibody. The expression of podoplanin was graded from grade 0 - 4. RESULTS: There was a significant variation in the grades of podoplanin expression between the samples of oral premalignancy, oral squamous cell carcinoma and normal oral mucosa. Podoplanin expression increased with the severity of dysplasia in OPMDs and with the decrease in grades of differentiation in OSCC. The number of cases showing podoplanin expression was also significantly higher in OSCC (100%) and OPMD (86.7%), compared to that observed in normal oral mucosa (30%). CONCLUSION: The observations from the present study suggest that podoplanin may be considered as a marker in assessing the risk of malignant transformation of oral premalignancies and prognosis of oral squamous cell carcinoma. Further studies with increased sample size and proper follow-up are recommended

KINETICS AND MODELING OF TANNASE PRODUCTION USING ASPERGILLUS FOETIDUS IN BATCH FERMENTATION

Objective: To produce tannase enzyme using Aspergillus foetidus with red gram husk as substrate in batch fermentor and investigate the suitable un structured kinetic model for the system.Methods: The present study was done via two steps. At first to study the maximum production of tannase enzyme by Aspergillus foetidus (MTCC 3557) using red gram husk as a substrate in a modular ferment or followed by to develop the kinetic model of tannase production.Results: The maximum tannase activity and biomass concentration were found to be 157.26 U/ml and 7.12 g/l respectively at the end of 96 hours of fermentation. The biomass yield coefficient (YX/S) and the product yield coefficient (YP/S) were found to be 0.23 g of biomass/g of substrate and 21.2 U/g of substrate respectively. Logistic model, Luedeking-Piret model and substrate utilization kinetic model were found to represent closely the experimental data of growth kinetics, product formation kinetics and substrate utilization kinetics respectively.Conclusion: Tannase enzyme production was studied using A. foetidus with redgram husk as substrate by modular fermenter and suitable models were predicted. The kinetic parameters were also estimated by fitting the data to the model using the Lineweaver-Burk method.Â

A model for multi-attack classification to improve intrusion detection performance using deep learning approaches

This proposed model introduces novel deep learning methodologies. The objective here is to create a reliable intrusion detection mechanism to help identify malicious attacks. Deep learning based solution framework is developed consisting of three approaches. The first approach is Long-Short Term Memory Recurrent Neural Network (LSTM-RNN) with seven optimizer functions such as adamax, SGD, adagrad, adam, RMSprop, nadam and adadelta. The model is evaluated on NSL-KDD dataset and classified multi attack classification. The model has outperformed with adamax optimizer in terms of accuracy, detection rate and low false alarm rate. The results of LSTM-RNN with adamax optimizer is compared with existing shallow machine and deep learning models in terms of accuracy, detection rate and low false alarm rate. The multi model methodology consisting of Recurrent Neural Network (RNN), Long-Short Term Memory Recurrent Neural Network (LSTM-RNN), and Deep Neural Network (DNN). The multi models are evaluated on bench mark datasets such as KDD99, NSL-KDD, and UNSWNB15 datasets. The models self-learnt the features and classifies the attack classes as multi-attack classification. The models RNN, and LSTM-RNN provide considerable performance compared to other existing methods on KDD99 and NSL-KDD datase

Effect of Non-Coding RNA on Post-Transcriptional Gene Silencing of Alzheimer Disease

A large amount of hidden biological information is contained in the human genome, which is not expressed or revealed in the form of proteins; the usual end product form of gene expression. Instead, most of such information is in the form of non-coding RNAs (ncRNAs). ncRNAs correspond to genes that are transcribed, but do not get translated into proteins. This part of the genome was, till recently, considered as ‘junk’. The term ‘junk’ implied lack of any discernible function of these RNA. More than 98% of the human genomic size encompasses these non-coding RNAs. But, recent research has evidently brought out the indispensible contribution of non-coding RNA in controlling and regulating gene expression. ncRNA such as siRNAs and microRNAs have been reported to greatly help in causing post-transcriptional gene silencing (PTGS) in cells through RNA interference (RNAi) pathway. In this work, we have investigated the possibility of using siRNAs and microRNAs to aid in gene silencing of early onset Alzheimer’s disease genes. 
Alzheimer’s disease specific mutations and their corresponding positions in mRNA have been identified for six genes; Presenilin-1, Presenilin-2, APP (amyloid beta precursor protein), APBB3, BACE-1 and PSENEN. 

Small interfering RNAs (siRNAs) that can cause PTGS through RNA interference pathway have been designed. RNA analysis has been done to verify complementarity of antisense siRNA sequence with target mRNA sequence. Interaction studies have been done computationally between these antisense siRNA strands and seven Argonaute proteins. From the interaction studies, only one of the seven Argonaute proteins; 1Q8K, was found to have interaction with the siRNAs indicating the importance and uniqueness of this particular protein in RISC (RNA induced silencing complex). 

The interaction studies have been carried out for the microRNAs also. Out of the 700 mature human microRNAs collected, 394 microRNAs have been identified to show partial complementarity with their target sequence on PSEN-1 mRNA. Of these 394, five microRNAs have shown partial complementarity to early onset Alzheimer’s disease specific mutations in PSEN-1 mRNA. Interaction studies have been done between these microRNAs and Argonaute proteins. Thus, design, characterization and analysis of ncRNAs that contribute to post transcriptional gene silencing of Alzheimer’s disease have been achieved.
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Garud Survey: A Case of Improving Safety and Transparency in Mining Operations Using Drone Technology

SAI Minerals Pvt. Limited (SAI Minerals), a renowned company engaged in mining cement-grade limestone and manufacturing cement in Rajasthan, India, has been grappling with recurring survey reconciliation and safety issues across its mining operations. Additionally, in compliance with new government regulations, they are now required to conduct aerial surveys and submit digital images and survey reports to the Indian Bureau of Mines (IBM). SAI Minerals sought a permanent solution to these challenges and approached Garud Survey Private Limited (Garud Survey), a technology-driven surveying agency. SAI Minerals recognized that these issues not only impacted their production but also tarnished the company\u27s reputation in the mining industry due to frequent accidents. Garud Survey recommended that the best approach to address the problem was to make the survey process faster and more accurate, enabling all stakeholders to have a clear and up-to-date view of the operational status. Garud Survey proposed the implementation of cutting-edge technology to identify and address the root cause of the problem. This case further explores the application of system analysis and design to the adoption and implementation of the latest technology in a real-world use case, as well as the challenges associated with managing change

Course Manual - National Workshop on Effective Management of E-Resources in Research Libraries

The National Workshop on “Effective Management of EResources in Research Libraries" is the first of its kind organised by the Library & Documentation Centre of ICAR-Central Marine Fisheries Research Institute, Kochi. Periodic trainings on newer technologies developed in the field of Library & Information Sciences help library professionals to enhance their professional competencies that will contribute largely to the output of the parent organization. Digital repositories are the need of the hour where the Institute can showcase the research findings. ICAR-CMFRI is a pioneer in developing Institute repository and the open access repository of the Institute "eprints@cmfri" now stands 1st among ICAR Institute repositories, 3rd among Indian repositories and 343rd among the world repositories. Topics of current relevance towards development and modernisation of research libraries are included in the Workshop which is expected to help the participants to understand the possibilities and ways of supporting the research activities of the parent Institution more effectively