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As India changes and reinvents itself at a remarkably accelerated pace, the retail patterns of its population have been transformed. What is new about these changes in retail patterns is not only the change in consumer behaviour of 1.15 billion individuals but also changes in the outlook of retailers in India. Historically, change has been a gradual and largely predictable process, allowing industry experts to reasonably forecast consumption patterns and consumer behaviour in the near future based on the current and immediate past. Those days are history. The fundamental shifts in consumer spending patterns have far-reaching implications not only for manufacturers, marketers and retailers of consumer products and services, but for all of India and Indian society as a whole.This paper highlights and analyses these shifts in the retail sector and the implications for manufacturers, marketers and brand owners, and retailers. The key lies in understanding the nature of these changes in the retail landscape and thereby the changes in the wallet-share of Indian consumers. Today’s reality consists of many new, unique and disparate factors that have come into play simultaneously

Education through educational institutions is at the center of the evolution of societies because it contributes to the development process of a country. It has been the subject of many international consultations, including the World Conference on Education for All (EFA) in Thailand in 1990 and the World Education Forum in Dakar in 2000, etc. This effectively explains why education is one of the indicators of human development.

In the first part of this work we will present the modelling of a high school information system with the use of WebProtege. System ontologies and class properties will be presented. In the second part we will present an introduction for SPARQL and examples of queries that were made, with the results returned to us.

The suggested algorithm for shape classification described in this paper is based on several steps. The algorithm analyzes the contour of pairs of shapes. Their contours are recovered and represented by a pair of N points. Given two points pi and qj from the two shapes the cost of their matching is evaluated by using the shape context and by using dynamic programming, the best matching between the point sets is obtained. Dynamic programming not only recovers the best matching, but also identifies occlusions, i.e. points in the two shapes which cannot be properly matched. From dynamic programming we obtain the minimum cost for matching pairs of shapes. After computing pair wise minimum cost between input and all reference shapes in the given database, we sort based on the minimum cost in ascending order and select first two shapes to check if it belongs to the input class. If it belongs to the input class, then we say that the shape is classified as a perfect match, else it is a mismatch. The algorithm has been tested on a set of shape databases like Kimia-25, Kimia-99, Kimia-216 and MPEG-7 providing good performances for shape classification.

In this paper, we introduced Samarandache-2-algebraic structure of Soft Neutrosophic Near-ring namely Smarandache –Soft Neutrosophic Near-ring. A Samarandache-2-algebraic structure on a set N means a weak algebraic structure S1 on N such that there exist a proper subset M of N, Which is embedded with a stronger algebraic structure S2 ,stronger algebraic structure means satisfying more axioms, that is S1 << S2 ,by proper subset one can understand a subset different from the empty set, from the unit element if any , from the Whole set. We define Smarandache - Soft Neutrosophic Near-ring and obtain the some of its characterization through Generalized soft neutrosophic near-field and Generalized soft neutrosophic (r,m) bi-ideals.For basic concept of near-ring we refer to G.Pilz ,for generalized near-field we refer T.Tamilchelvam and for soft neutrosophic algebraic structure we refer to Muhammed Shabir ,Mumtaz Ali,Munazza Naz, and Florentin Smarandache.

In the present scenario, availability of power and water are insufficient to satisfy the farmer’s requirements. Traditionally implemented Techniques of irrigation are proving to be less futile as these are not good at multitasking different concerns which are combinations of availability of water, source of energy and timely soil profile analysis. With the merger of automation and the methods of irrigation used earlier. The scope to mitigate issues concerning water and power crisis, is huge. In this paper Internet of Things based solar powered smart irrigation system with monitoring and control features, is designed and implemented. The sensor enabled proposed model of smart irrigation system along with its Android application and ESP8266 as its main controllers. The farmland parameters can be monitored anywhere around the world with the help of IoT technology. The whole concept of this paper is implemented and then only the results are presented.

Annatto extract was investigated as a cheap and ecologically friendly alternative corrosion inhibitor. The corrosion process was monitored with mild steel coupons in 1.0 M hydrochloric acid at temperatures between 30oC to 90oC by weight loss and spectroscopic techniques. The extract effectively inhibited the corrosion of mild steel in the acid at temperatures studied. Inhibition efficiency obtained varied with temperature and extract concentration. Adsorption models were used to predict the nature of the extract-steel surface interaction. Thermodynamic models provide evidence of spontaneous physical and chemical adsorption mechanism with the evolution of heat. Kinetic studies reveal deepening effect on the activation potential well in the presence of the extract. The effects of solvent and synergistic intensifiers on the effectiveness of the dye extract were also assessed. Heavy metal ion composition in the formulation was within acceptable limit of environmental and health safety.

The article focuses on the problem of training future IT-specialists in Ukraine, particularly, the English language training of Master students and the role of English for the future career of IT-specialists. The goal of the research is to determine the role of the English language competence for the specialists of IT-field and to find out the attitude of Master students to teaching English: relevance of including the discipline “Fundamentals of Scientific Communication in Foreign Language” in the curriculum of Master Course; the ratio of classroom activity to independent work; necessary focus of foreign language and the types of speech activity; relevance of attention to the grammar structure of the language; the preferred teaching methods; the frequency of using periodicals at the classes; the appropriate source of professionally oriented texts; the desired type of control.

Commercially available anion exchange resin, Duolite A 171 (DLE) has been used for the sorption of chromate and fluoride ions from aqueous solutions. DLE resin possesses an enhanced chromate sorption capacity of 202 mg/g in a minimum period of 60 min contact time and 0.6 mg/g for fluoride with 30 min contact time. Sorption capacity (SC) of DLE resin was compared under various equilibrating conditions like effect of pH and co-ions, temperature, contact time, for the removal of chromate and fluoride. The results showed that DLE resin is more selective for chromate rather than fluoride. The chromate and fluoride sorption was reasonably explained using Freundlich and Langmuir isotherm. Fourier transform infrared spectroscopy (FTIR) was used for the determination of functional groups responsible for chromate and fluoride sorption. Various thermodynamic parameters such as ?Gº, ?Hº, and ?Sº have been calculated to understand the nature of sorption. The sorption kinetic mechanism was studied with reaction based and diffusion based models. The sorption process was found to be controlled by pseudo-second-order and intraparticle diffusion models.

In Data mining world, Lead generation is a data searching technique which is used to collect relevant customer information (leads), one of the examples for this techniques is contextual advertising. You might have noticed as soon as you open google site to search something, it displays unique advertisement or sponsored link along with search results. This sponsored link is typically based on search text, user logged in (ex: google user), location, browser to name a few. This type of preparing customized advertisement and sponsored links is called as Contextual advertisement and this technique is an example for Lead generation. It is an easy and painless way of attracting people/users and cultivating prospective customers out of them. The key idea of this paper is to bring out the importance of data mining in the field of CRM and also to explain the benefits of M-Clustering algorithm which we propose for data mining which proves to be efficient as it uses clustering approach compared to k-means algorithm. Also, there is a comparison with Newman’s algorithm where the significance is highlighted in terms of training set and historical data handling in M-Clustering.