Trends in the Solution of Distributed Data Placement Problem

Data placement for optimal performance is an old problem. For example the problem dealt with the placement of relational data in distributed databases, to achieve optimal query processing time. Heterogeneous distributed systems with commodity processors evolved in response to requirement of storage and processing capacity of enormous scale. Reliability and availability are accomplished by appropriate level of data replication, and efficiency is achieved by suitable placement and processing techniques. Where to place which data, how many copies to keep, how to propagate updates so as to maximize the reliability, availability and performance are the issues addressed. In addition to processing costs, the network parameters of bandwidth limitation, speed and reliability have to be considered. This paper surveys the state of the art of published literature on these topics. We are confident that the placement problem will continue to be a research problem in the future also, with the parameters changing. Such situations will arise for example with the advance of mobile smart phones both in terms of the capability and applications

NLP-based personal learning assistant for school education

Computer-based knowledge and computation systems are becoming major sources of leverage for multiple industry segments. Hence, educational systems and learning processes across the world are on the cusp of a major digital transformation. This paper seeks to explore the concept of an artificial intelligence and natural language processing (NLP) based intelligent tutoring system (ITS) in the context of computer education in primary and secondary schools. One of the components of an ITS is a learning assistant, which can enable students to seek assistance as and when they need, wherever they are. As part of this research, a pilot prototype chatbot was developed, to serve as a learning assistant for the subject Scratch (Scratch is a graphical utility used to teach school children the concepts of programming). By the use of an open source natural language understanding (NLU) or NLP library, and a slackbased UI, student queries were input to the chatbot, to get the sought explanation as the answer. Through a two-stage testing process, the chatbot’s NLP extraction and information retrieval performance were evaluated. The testing results showed that the ontology modelling for such a learning assistant was done relatively accurately, and shows its potential to be pursued as a cloud-based solution in future

MANAGEMENT OF STHOULYA (OBESITY) WITH APATARPANA CHIKITSA – A CASE STUDY

This is the era of modernization, science and technology development; resulted into more sedentary lifestyle. This era is more challenging because of lifestyle disorders which are due to change in dietary habits and mode of lifestyle. Obesity is one of the major lifestyle disorders which are a threat to life and is also a major cosmetic issue. Effective treatment for obesity is a need which is not available in the current scenario. In Ayurveda obesity can be correlated with Sthoulya or Medoroga. Acharya Charaka has prescribed Apatarpan chikitsa as the main Chikitsa for Sthoulya. The present article is about a case of Sthoulya treated by Apatarpan chikitsa mainly with Pachana, Udwartana, Swedana, Sadyavamana, Rukshana and Basti. Patients got significant relief in all the complaints and a remarkable weight loss in 21 days only

The doctrine of the consumers' surplus

Call number: LD2668 .R4 1964 D44

A NOVEL HPTLC METHOD FOR SIMULTANEOUS DETERMINATION OF CO-ENZYME Q10 AND α-TOCOPHEROL IN BULK AND PHARMACEUTICAL FORMULATION

Objective: HPTLC Method for Simultaneous quantification of co-enzyme Q10 and α-tocopherol in bulk and capsule dosage form was developed and validated as per International Conference on Harmonization [(ICH) Q2 (R1)] guideline.Methods: The chromatograms were developed using a mobile phase of Toluene: ethyl acetate: chloroform (10:1:2 v/v/v) on Pre-coated silica 60F 254 plates and quantified by densitometric absorbance mode at 280 nm.Results: The Rf values were 0.77 and 0.87 for co-enzyme Q10 and α-tocopherol, respectively. The linearity of the method was found to be in the concentration range of 0.6µg-1.8 µg/band for α-tocopherol and 2 µg-6 µg/band for co-enzyme Q10. The limits of detection and quantification were 0.3154 and 0.9559 µg/band for α-tocopherol and 3.441 and 10.42 µg/band for co-enzyme Q10.Conclusion: Developed densitometric method was found to be robust, precise, accurate, and rapid and can be used to analyse fixed-dose capsule samples of co-enzyme Q10 and α-tocopherol

Seasonal availability and population structure of Eurobowmaniella simulans W. Tattersall, 1915 (Crustacea: Mysida) along Vizhinjam coast, Kerala, India

Eurobowmaniella simulans is the commonly available species of mysid along the Vizhinjam coast of Kerala. Sampling of mysids has been carried out over a period of one year from March 2014 to February 2015 to study the seasonal availability and population structure. Monthly samples of mysids consisted of individuals in various developmental stages, from juveniles to mature mysids around the year, but their percentage availability varied. The peak availability of mysids was recorded during September (2014) (avg. 48,731 numbers per haul) and their availability was lowest in July (2014) with an average of 2 individuals per haul. The availability of brooding or ovigerous females were observed throughout the year and highest and lowest percentage availability was during November (2014) and April (2014) respectively. Morphometric measurements of E. simulans revealed that their average size (TL) ranged from 2.35±0.52 mm- (juvenile) to 7.47±1.75 mm (adult). Sex could be first distinguished externally when mysid attains the total length between 4.1 mm and 5 mm. Analysis of variance of different water quality parameters and mysid density comparing seasons revealed that there was significant variation of mysid availability between seasons (P < 0.05). Multivariate Pearson’s correlation analysis of water quality parameters and mysid density showed that there was a significant relation with chlorophyll a content (P < 0.001) of seawater. The present study also revealed that mysids are available in harvestable quantities for aquaculture purposes from August to November

Effect of Virechana along with Shamana Aushadhis in the management of Gulma - A Case Study

Gulma is a disease of Mahasrotasa where there is marked vitiation of Vatadosha. It is named Gulma, because its shape resembles Shrub or Bush. In the case of Gulma, all the measures for pacification of Vata should be administered properly because after Vayu is controlled over, other aggravated Doshas can be alleviated easily. In present article case of Vatapittaja Gulma treated with Virechana along with Shamana Chikitsa is discussed. Patient has got significant relief in all her symptoms in the span of one month only

eCOPS Electronics Police Record Management System

This feature is made available to public for interaction with police indirectly. This system registers the complaints from pe ople through online and is helpful to the police department in identifying criminals. In this system any person can regist er their complaint online.The aim of this project is to develop an E - cops reporting and management system which is easily accessible to the public, police department and the administrative department. Generally many crimes seen by the public will not reach to the police due to many reasons like fear, lack of time, ignorance. Due to this reason many cases are not even reported to the police station. Though some cases are registered they are not investigated pro perly due to lack of evidences and cooperation o f the public. This project helps the public to report about the crimes to the police without any fear in correct time. This is also helpful for higher authorities of police to have an overview about the progress of the investigation.This feature is made available to public for interaction with police indirectly. This system registers the complaints from people through online and is helpful to the police department in identifying criminals. In this system any person can register their complaint online.The ai m of this project is to develop an E - cops reporting and management system which is easily accessible to the public, police department and the administrative department

MARKET PRICE PREDICTION BASED ON NEURAL NETWORK USING HADOOP MAPREDUCE TECHNIQUE

Neural Networks (NN) has been used to solve wide variety of problems, one of them is stock market prediction. Neural Networks are modeled to predict future value of stock market using historical data. In this paper, a Multilayer perceptron (MLP) Neural Network is used to predict future stock market. Two MLP Neural Networks have been used, one is trained using Least Mean Square algorithm and another one using Sigmoid Delta algorithm. RMS error is calculated against actual and predicted value. Results have shown that MLP Neural Network with LMS training algorithm has lower RMS error than MLP Neural Network with sigmoid delta learning algorithm. The process of training large scale Neural Networks is both computation-intensive and data-intensive. Entire training workflow needs to carry out thousands of epochs’ iteration, which makes it computationally expensive. On the other hand, in order to generate better results, large scale training datasets are usually used in applications. As a result, training large scale Neural Networks on a single PC is usually very time-consuming. To address this, MLP Neural Network model is implemented in MapReduce programming model with Hadoop framework. Since the MapReduce programming model has the ability to rapidly process large amount of data in parallel. Hence MapReduce works with Hadoop Distributed File System (HDFS). The entire process of predicting stock market using Neural Network in Hadoop’s fully distributed mode  and using HDFS the implementation results shows the effectiveness in reducing the time of prediction process with better accurac