摘要 :
Digital data increase on servers with time which resulted in different researchers focusing on this field. Various issues are arising on the server such as data handling, security, maintenance, etc. In this paper, an approach for ...
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Digital data increase on servers with time which resulted in different researchers focusing on this field. Various issues are arising on the server such as data handling, security, maintenance, etc. In this paper, an approach for the document retrieval is proposed which efficiently fetches the document according to the query which is given by user. Here hash-based indexing of the dataset document was done by utilizing term features. In order to provide privacy for the terms, each of this is identified by a unique number and each document has its hash index key for identification. Experiment was done on real and artificial dataset. Results show that NDCG, precision, and recall parameter of the work are better as compared to previous work on different size of datasets.
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摘要 :
As the impact of air pollutants is increasing drastically on living beings in recent years, it has become very necessary to address the issue of air pollution control by scientists and environmentalists. To ensure the same, it is ...
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As the impact of air pollutants is increasing drastically on living beings in recent years, it has become very necessary to address the issue of air pollution control by scientists and environmentalists. To ensure the same, it is important to forecast air quality in terms of parameters that cause air pollution directly or indirectly, which generally affects the living population. US Environmental Protection Agency (USEPA) has suggested a method to estimate air quality index in a region which constitutes different concentration of criteria air pollutants such as RSPM, SO2, NO2, and SPM. The motive of our research is to model a predicting model for forecasting daily AQI, that can be put to use for local and regional air quality management.
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摘要 :
As the impact of air pollutants is increasing drastically on living beings in recent years, it has become very necessary to address the issue of air pollution control by scientists and environmentalists. To ensure the same, it is ...
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As the impact of air pollutants is increasing drastically on living beings in recent years, it has become very necessary to address the issue of air pollution control by scientists and environmentalists. To ensure the same, it is important to forecast air quality in terms of parameters that cause air pollution directly or indirectly, which generally affects the living population. US Environmental Protection Agency (USEPA) has suggested a method to estimate air quality index in a region which constitutes different concentration of criteria air pollutants such as RSPM, SO2, NO2, and SPM. The motive of our research is to model a predicting model for forecasting daily AQI, that can be put to use for local and regional air quality management.
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