Volume 5 | Issue 4 |

 Abstract

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Key-Words: Rapid population growth, Threshold limit, Carrying Capacity, climatic change, environmental degradation, natural resource, conservation.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Human Capital, Intellectual Capital, Firm Performance, Knowledge Capital

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Creative Commons Attribution 4.0 and The Open Definition

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Carbon Nanotube plays a major role in electronic industry to produce large number of electronic devices. The main reason behind is the dimension of CNT in nanometer size. Carbon Nanotube filed-effect transistor (CNTFET) is one of the promising alternatives to the MOS transistors. The geometry-dependent on threshold voltage are one of the CNTFET characteristics, which are used to design parallel adder. This paper presents a low voltage and high performance 4-bit parallel adder which is used to reduce the power delay product (PDP).This technique is mainly implemented by using static energy recovery full adder based on CNTFET model where we can reduce the power consumption and delay. Full adder is designed using 10 transistors. Simulation results show significant improvement in terms of power, delay and power-delay product in comparison between FA and PA .Simulations were carried out using HSPICE based on CNTFET model with 0.7v and 0.9v VDD.

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Creative Commons Attribution 4.0 and The Open Definition

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Parallel adder, Full adder, Carbon Nanotube, Carbon Nanotube Field Effect Transistor, High speed, High performance.

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Creative Commons Attribution 4.0 and The Open Definition

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Natural dyes are also known as eco friendly dyes. These dyes are extracted from natural resources. These dyes are either plant, animal or of mineral origin. Synthetic dyes were introduced later. Synthetic dyes are found to be harmful to the environment as they emit substances that are found to be hazardous to health and creates imbalance in the atmosphere. Due to modern developments, everybody became aware of the environmental issues and wanted to switch over to the natural dyes. Nowadays people have begun to use eco friendly materials. Natural dyes main disadvantage is that the shade is relatively dull and the process of natural dyeing is a tedious one , due to which still people prefer synthetic dyes. Mordants are used to improve the yield of better shades and help the dye particle get fixed to the fibre or fabric The purpose of this research is to determine the application of dye extracted from the dried peels of Mangosteen on linen fabric with alum mordant is used and tested for Anti bacterial evaluation.

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Creative Commons Attribution 4.0 and The Open Definition

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Natural dyes, eco-friendly, colourants, mordant

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Creative Commons Attribution 4.0 and The Open Definition

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This study mainly focuses on existing challenges of mobile banking. To achieve the objective of research the primary data was collected with the help of questionnaire. Responses were gathered from the customers where they doing their culture. A descriptive study was conducted. The sampling procedure used for this project is simple random sampling. Sample size of 100 was choosing for the purpose study through a structured questionnaire. The collected data was analyzed with the help of Percentage analysis. Findings and recommendations are presented to achieve betterment of Mobile Banking.

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Creative Commons Attribution 4.0 and The Open Definition

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Banking, Mobile, Challenges

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Creative Commons Attribution 4.0 and The Open Definition

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Data mining is the process of extracting useful information from a large volume of data. Sequential pattern mining is very important technique in the field of data mining. Sequential pattern mining is used to find sequential pattern that occur in large database. In real world massive amount of data are collected and stored everyday in the databases. Many industries are intrested to find useful informaiton in the form of sequential patterns from this databases. Sequential pattern mining is used in various application such as weblog analysis, DNA sequences, stock market analysis, shopping sequence etc. There are mainly two approaches in sequential pattern mining, First is Apriori based approach and Second is Pattern growth based approach. This paper represents a study review on various algorithms of sequential pattern mining to discover sequential pattern from a large sequence database, which is very important problem in the field of data mining.

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Creative Commons Attribution 4.0 and The Open Definition

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Sequential pattern mining, frequent pattern, data mining, sequence database.

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Creative Commons Attribution 4.0 and The Open Definition

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Economy is the main way of sustaining our life. Without economic development, it is impossible to think of women empowerment and development of a particular society. In India, the ratio of female population is fifty percent of the total population. The Bodo community in the State of Assam, which is traditionally involved in agriculture and allied activities, has immense capacity in contributing towards national economic activities and generating income. The role and participation of Bodo women in economic activities have a great significance. In this present paper, the theoretical aspects of the economic role of Bodo women have been drawn to study and emphasize systemically.

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Creative Commons Attribution 4.0 and The Open Definition

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Bodo, economy, women, traditional and development

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Creative Commons Attribution 4.0 and The Open Definition

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Management ethics, Management ethics code

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

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Lead Bank Scheme, Bank Branches, Deposits and Advances, Kruskal-Wallis test.

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Creative Commons Attribution 4.0 and The Open Definition

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We focused on multi-dimensional dataset where each data point has set of keywords in feature space allows for the development of new tools to query and explore these multidimensional dataset It is hard to investigate the huge dataset for a given query as well as to accomplish more accuracy on user query. Frequently query will search on dataset for accurate keyword match and it does not discover the nearest keyword set for accuracy. Vishwa karma et.al. Proposed a strategy called ProMiSH (Projection and Multi Scale Hashing) that utilizes random projection and hash based index structures to accomplish high scalability and speedup. But the memory usage of Random projection and multi scale hashing increases when the number of dimensions of data points increases. So, there is a require to assign some weights to the keywords to find the nearest keyword set for accuracy. The Term Frequency (TF) and Inverse Document Frequency (IDF) weighting technique are utilized to discover the efficient nearest keyword set search. Performance of those techniques provide better performance in terms of accuracy, dimension reduction rate and response time.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Efficient Nearest Keyword Set Search Using Term Frequency And Inverse Document Frequency In Datasets

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Creative Commons Attribution 4.0 and The Open Definition