Abstract:The rapid transformation of the conventional electric power grid to the sophisticated smart grid involves many challenging factors like power quality and reliability issues. Smart grid is nothing but introduction of information and communication technology to the present existing grid, so the process of realizing smart grids involves various kinds of devices which results in degradation of power quality. As power quality is the promising factor for utilities as well as the end users for proper functioning of equipment, it should be maintained high and with in specified limits. Thus detection and classification of different power quality events and their causes must be known prior to take appropriate mitigating actions. The task of classification involves storing of huge amount of data for analysis which became feasible with increased databases. The power quality events like sag, swell, interruption and unbalance are classified with data mining algorithms like SVM, KNN, Random forest with supervised machine learning techniques using python software.

Keywords:Power quality, Machine Learning, classification algorithms

Abstract:As India is an agricultural country, almost 80% of India's total population depends directly or indirectly on agriculture. Agriculture is one of the most significant contributors to the Gross Domestic Product (GDP) for India. According to experts, India has to play a bigger role in the global markets in agriculture products in the future. The country is expected to reinforce its position among the world's leading exporters of rice. Presently it is the second-largest rice producer after China; India produces 155.682 Million Metric Tons of rice. Now India, as well as the whole world, is facing nutritional starvation. The naked eye observation of experts is the primary approach adopted to detect and identify plant diseases. But this requires continuous monitoring of experts, which might be prohibitively expensive in large farms. Farmers usually apply chemical pesticides to cure plant diseases as suggested by agricultural-trained raters. Pesticides use has increased since 1960, WHO estimated in 2009 that 4.2 million pesticide poisonings occur annually, causing 225,000 deaths. Therefore the Pressure has been increased during recent years to develop non-chemical approaches to control plant diseases. The idea is instead of identifying the plant diseases through the naked eye or through agricultural experts, identifying these crop diseases at its early stages through software using computer vision toolbox is efficient. Multi-Band Thresholding algorithm (MBT) and OTSU algorithm gives the best results in detecting the paddy plant disease at its early stage. Next, region growing and fuzzy logic algorithms are used to quantify disease colour analysis and compare the results.

Keywords:Rice blast, Blight, Brown Spot, MBT, and OTSU.

Abstract:In modern’s world , the data is generated on multi-folded and cross platform which can be used to understand and analyse different domains such as Floriculture , Agriculture , Finance etc. In all real time analysis of data where time , money , man-power is playing important roles to measure, pass judgement and react/answer in terms of Floriculture domain because the floriculture cultivation in world are increasing day by day The data generated from analysis which will be in the form of shape , colour , petals , size etc. Flower species and recognition system can provide unique approach for providing flower species analysis which could be a type of clutter of flowers , an area of farm where more flowers having issues like disease , water problem etc. In this process , Lots of data analyse , processed in real tome , provides good level of accuracy , precision , entropy etc. We can use deep learning approaches for detection flower species. This paper provides an overview of several pattern classification and detection mythologies/algorithms in the literature. The objective of the paper having companion with the comparison between different algorithms along with different types of datasets. The main goal is to provide an idea for several methods with different data and to find the many different approaches of the methods used for the detection of flowers using different scenarios

Keywords:

Abstract:Language is essential through communicate the people for their feelings, thoughts and ideas. Language is one type of system to conventional spoken, set of sounds and written symbols. In our country is diversity of cultural, social, religious, economical, political, traditional and number of variety is more compare to any other country. The number of language divided into scheduled language, non scheduled language and other minor languages. In Indian language are classified into 121 languages from the included constitution eighth schedule 22 languages and non eighth schedule 99 languages. Based on Census of population can be easily visualize the data how language families are distributed, scheduled languages and comparative analysis explored effective and efficient manner using Visual analytic tools.

Keywords:Visual analysis, Orange, Languages, Dravidian, Aryan, Indo-European.

Abstract:'Education' is a vital and important event in human life; because, only human being is such a creature in the world that takes education keeping in mind for his future. It can be said simply and clearly that the work to do strong the way of the development, it is takes place on the strong shoulders of highly educated and energetic citizens of the country, because only highly educated and energetic people are able to develop new technology. But, it can also be clearly stated here that the meaning of a person being highly educated is called 'highly educated' in the same sense when this higher education is of good quality and has been obtained through logical method. Along with this, it can also be clearly stated here that good quality and logical higher education can be attained only when the education from primary level is good quality and logical. The country, whose education policies and education procedures are beneficial for the learners in the each situation and condition, that country definitely comes to be developed uninterruptedly. On the basis of advanced technology, that country produces good quality and reliable products, on which the citizens of that country as well as citizens of other countries trust. This not only improves the economic status of that country, but also paves the basis for learning new technology for their new learners. Thus, primary education is the basic foundation of higher education.

Keywords:Primary Education, Higher Education, Quality, Technology