Behaviour of Market Arrivals and Prices of Selected Vegetable Crops: A Study of Four Metropolitan Markets

This study has been undertaken with the twin objectives of examining the variability pattern of market arrivals and prices of selected vegetable crops (cabbage, cauliflower, tomato and peas) in metropolitan markets of Delhi, Mumbai, Bangalore and Kolkata and analysing the relationship between market arrivals and prices. The study is based on market arrivals and wholesale prices of different vegetable crops collected from the Azadpur market of Delhi and Agricultural and Processed Food Products Export Development Authority (APEDA), New Delhi, for the period 1990-2001. The study has shown that the extent of variability in the arrivals of cabbage was lower in Bangalore and higher in Mumbai. The prices were relatively stable in Mumbai but were more volatile in Bangalore. There was broadly a similar pattern in the price variability across different months in Kolkata and Delhi markets. For cauliflower, the variability in the market arrivals was more pronounced in Kolkata than the remaining three markets. The price variability was, however, more marked in Delhi. The extent of variability in the market arrivals of tomato across different months was very high in all the four markets. Likewise, while the maximum variability in the prices of peas was noted for Delhi, these were relatively less marked in Bangalore. The results of the study have confirmed the negative relationship between market arrivals and prices in terms of correlation coefficients over the years and across months in all the four metropolitan markets, though there were several instances of positive relationship.Agricultural and Food Policy,

Text pre-processing of multilingual for sentiment analysis based on social network data

Sentiment analysis (SA) is an enduring area for research especially in the field of text analysis. Text pre-processing is an important aspect to perform SA accurately. This paper presents a text processing model for SA, using natural language processing techniques for twitter data. The basic phases for machine learning are text collection, text cleaning, pre-processing, feature extractions in a text and then categorize the data according to the SA techniques. Keeping the focus on twitter data, the data is extracted in domain specific manner. In data cleaning phase, noisy data, missing data, punctuation, tags and emoticons have been considered. For pre-processing, tokenization is performed which is followed by stop word removal (SWR). The proposed article provides an insight of the techniques, that are used for text pre-processing, the impact of their presence on the dataset. The accuracy of classification techniques has been improved after applying text pre-processing and dimensionality has been reduced. The proposed corpus can be utilized in the area of market analysis, customer behaviour, polling analysis, and brand monitoring. The text pre-processing process can serve as the baseline to apply predictive analysis, machine learning and deep learning algorithms which can be extended according to problem definition

Multicasting Model for Efficient Data Transmission in VANET

VANETs (Vehicle Ad hoc Networks) are networks made up of a number of vehicular nodes that are free to enter and leave the network. The Location Aided Routing (LAR) protocol is the one that is most frequently utilized among them. Here, the route request packets are flooded across many pathways to the source node using the broadcasting strategy. The vehicles that have a direct path to the destination send the route reply packets back to the source. The least number of hops and the sequence number are used to determine the route from source to destination. This research study has used the multicasting approach to construct a path from the source node to the destination node. Within this multicasting strategy, the root nodes from the network are selected for data routing. The path between the source and the destination is chosen using a root node. The suggested approach is put into practice using the NS2, and some parametric values are computed to produce analytical findings

Recent Developments in Tolerancing Techniques

Mechanical tolerances are specified in conjunction with part geometry, material type andother technical specifications during the design of mechanical components and assemblies., These tolerances ensure the expected design function, and provide guidelines for the manufactureof designed parts. However, assigning proper tolerances for a design is a non-trivial task. Thispaper reviews the recent developments in the field of tolerancing techniques, particularly withreference to the use of computers, cost tolerance relationship and tolerance design for qualityimprovement of the product

Synthetic Methods for the formation of Heterocyclic Compounds from Oxime Ether Derivatives

Heterocyclic ring compounds are not only ubiquitous in prime diversity of vital natural products and synthetic pharmaceuticals and thus highly important in organic synthesis. They have an extensive range of applications.  They are mainly used as veterinary products and as agrochemicals. They are also utilized as corrosion inhibitors, sanitizers, antioxidants, dye stuff and as copolymers. They are accustomed as an important source in the synthesis of bioactive organic compounds. Some natural products like antibiotics such as tetracyclines, cephalosporin, penicillin, aminoglycosides, alkaloids such as morphine, vinblastine, atropine, reserpine, tryptamine, reserpine etc. have heterocyclic constituent. Hence, synthesis of heterocyclic compounds from new procedures have been always demanding. Due to wide range of applications of heterocyclic compounds, this study is a survey of literature of last one decade, describing the methods for the heterocyclic ring formation from the oxime ether