YMCA University of Science and Technology

About: YMCA University of Science and Technology is a education organization based out in Faridabad, India. It is known for research contribution in the topics: Web crawler & Web page. The organization has 299 authors who have published 568 publications receiving 4547 citations.

Context ontology driven relevant search using data mining techniques (CODT)

Abstract: The size of the publicly indexable World Wide Web (WWW) has probably surpassed 14.3 billion documents and as yet growth shows no sign of leveling off. Search engines encounter the problem of ambiguity in words; therefore, search engines use ontology to find pages with words that are syntactically different but semantically similar. The knowledge provided by ontology is extremely useful in defining the structure and scope for mining web content. Context-ontology is a shared vocabulary to share context information in a pervasive computing domain and include machine-interpretable definitions of basic concepts in the domain and relations among them. This paper proposes an architecture for relevant searching of web documents using data mining techniques such as clustering and association rules. These techniques together with context and ontology extract potentially useful documents from the database. Also, an algorithm has been devised which shows the working in sequence of steps. Finally, the results are compared with the prevailing approaches and with the help of an example it has been seen that CODT is better in context of relevancy.

Multi characteristic optimization in die sinking EDM of En31 tool steel using utility concept

Abstract: The present study deals with optimization of machining characteristics using Multi characteristic Optimization in collaboration with utility concept. Surface roughness & Tool wear rate are the selected response characteristics for investigation. The study makes use of Taguchi's robust design experiments with Utility concept. Each experiment was conducted using different combinations of input parameters. The investigations suggest that current plays a significant role in optimizing both the characteristics followed by duty cycle, voltage & Pulse on time. The study also reveals significant interactions between current and pulse on time, current and spark gap & pulse on time and spark gap. The obtained results and the settings of the machine are further validated by the confirmation experiments.

Potential of Eisenia fetida for vermicomposting of garden trimmings spiked with cow dung

Abstract: The garden residues and trimmings were vermicomposted in order to mitigate environmental problems caused by them. The results of experiments indicated that the addition of Garden Trimmings (GT) up to 30% with cow dung (CD) produced good quality vermicompost in terms of increased NPK status as well as decrease in C : N and C : P ratio. A comparison of the decomposition of GT + CD in vermicomposting and composting (without worms) experiments indicated that vermicomposting with E. fetida is more efficient in maximising the extent of organic matter degradation. The growth of worms was lesser pronounced when they were fed on higher concentrations of GT in feed mixtures.

Metal contacts to 2d-materials for device applications

Abstract: Atomically thin sheets of D materials spanning over a reasonably large range of bad gap from zero in graphene to gt eV in hexagonal boron nitride h BN with a number of unique optical electronic and thermal properties offer a whole range of engineered nano materials for designing and fabricating novel devices not yet known in conventional bulk semiconductors Being a monolayer these materials are not only very well suited for flexible electronics but also from different categories of hetero structures ndash laterally as well as vertically for having access to control charge carrier transport besides optical activities via excitonic formations The most advantageous part of these D layered materials is their extra sensitivity to atomic molecular and nano particulate material species when present there making them extremely sensitive to detect species in concentration not possible in conventional sensor materials In order to exploit all these superlative features of these highly sensitive material species it is equally challenging to apply the conventional device fabrication techniques for their device properties The experimental work done in this context are examined here in this review to assess the current status and future prospects of these emerging novel material still awaiting for their applications in fields like printed micro nano sensors large area electronics and intelligence in upcoming fields of Internet of Things and other areas of robotics for instance in future

A Walk Through Social Network Analysis: Opportunities, Limitations, and Threats

Abstract: Since last more than forty years, social network analysis (SNA) techniques have evolved as one of the successful applications of Internet. Numerous reasons demand better understanding of the structure of social networks, need of their analysis and their impact on future Internet and society. For instance, finding the shared interest and trust could be one of the reasons to study social networks. Moreover, if in future, distributed online social networks are popular and bandwidth intensive, they can have a significant impact on Internet traffic, just as current peer-to-peer content distribution networks do. Regardless of one’s stance on these phenomena, a better understanding of the structure of social networks is likely to improve our understanding of the opportunities, limitations and threats associated with these ideas. For instance, gigantic size of online social networks, their dynamic behavior, clustering and privacy policies held by users are some of the major challenges. This chapter presents an engraved review spanning from need of SNA to the implications associated with it. A Walk Through Social Network Analysis: Opportunities, Limitations, and Threats