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With the increase of modern industries use of metal cutting procedure, it is evident that the tools used for this processes required proper care and monitoring. Tool wear one of the most important factors in machining processes as it greatly affects the tool life, which is important in metal cutting because of its direct impact on the quality of the finished job and also affect the efficiency of industries. Hence, ways to observe cutting tool and monitor its wear are needed for optimal use. An effective system can reduce machine downtime and economic losses. The paper presents a overview of many Tool Condition Monitoring Systems.

Stemming and Lemmatization are two important natural language processing techniques widely used in Information Retrieval (IR) for query processing and in Machine Translation (MT) for reducing the data sparseness. Both minimize inflectional forms, and sometimes derivationally related forms of a word, to a common base form. Most of the existing stemmer and lemmatization work is based either on some language dependent rules which require the supervision of a language expert, or some probabilistic approach that needs vast amount of monolingual corpus, both of which develop stemming and lemmatization algorithms independently. In our work, we propose an unsupervised stemming which is hybridized with partial lemmatization for Hindi. The stemmer proposed is unique in that it exploits a novel grouping criteria & aims to improve unsupervised stemming and most importantly avoid over-stemming problem which is a usual phenomena in stemming. The later is tackled by the introduction of lemma. We incorporated lemmatization based on data heuristics obtained from the corpus, without the use of word class information. Application of this concept to unsupervised stemming yielded significant improvements in the desired results when compared to other prevailing approaches of its genre. General TermsNatural Language Processing

Smart grid is in its developing stage in India. National Smart Grid Mission (NSGM) was propelled by Ministry of Power, that designs and screens approaches and programs for improvement and sending of keen matrix in India. Aggregate of 14 pilot tasks and 1 brilliant city project are declared. The objective set by country is to accomplish sustainable power source age of 175 GW by 2022. This exhibits the power framework organizers with a test to guarantee access for prosumers to present day vitality which is ecologically, institutionally and financially manageable. The draining fuel assets, breaking down ecological conditions and consistently expanding power requests make up and coming the modernization of the power transmission and conveyance systems. Further, savvy lattice approaches embraced worldwide are portrayed and a short survey of different continuous ventures in India and standards set by Indian government for the actualizing organization of cutting edge metering foundation (AMI) is introduced. The thought behind 'Savvy Grid Vision for India' is tochange the Indian power division into a safe, versatile, feasible, and carefully empowered biological community that gives dependable and quality vitality to all with dynamic interest of partners. The principle goal of this spec is to underline the present situation of those chose Smart Grid pilots in India, including proposed best in class Technology Integration.

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