This paper introduces the Method of Microwave Rainfall Normalization (MMN) for Global Satellite Mapping Precipitation (GSMaP) algorithm in its latest version (V05, 8), released December 2021. The method aims to mitigate discrepancy GSMaP rainfall estimates among passive microwave (PMW) imagers/sounders (MWIs/MWSs) due differences sensor specifications and retrieval algorithms. basic idea MMN mo...

Functional dependency plays a key role in database normalization, which is a systematic process of verifying database design to ensure the nonexistence of undesirable characteristics. Bad design could incur insertion, update, and deletion anomalies that are the major cause of database inconsistency. In this paper, we propose a novel technique to discover functional dependencies from the databas...

Top-k (preference) queries are used in several domains to retrieve the set of k tuples that more closely match a given query. For high-dimensional spaces, evaluation of top-k queries is expensive, as data and space partitioning indices perform worse than sequential scan. An alternative approach is the use of sorted lists to speed up query evaluation. This approach extends performance gains when...

T his paper explains a novel design approach to improve the performance of the system by compressing the database. The denormalization method joins a group of virtual records from one table into a single physical record. By making the tables and indexes smaller, this method reduces physical I/O operations during loading and querying data. A denormalized table resembles the physical layout of da...

micrornas (mirnas) are short, endogenous non-coding rnas that function as guide molecules to regulate transcription of their target messenger rnas. several methods including low-density qpcr arrays are being increasingly used to profile the expression of these molecules in a variety of different biological conditions. reliable analysis of expression profiles demands removal of technical variati...

A normalization database is considered as mathematics logical design to avoid redundancies and inconsistencies in the stored data which brought about null data and many relationship tables in the physical database. A retrieval rate is affected directly in running a practical system of the normalization design. We argue in the paper that rate formulas given out retrieval speed via testing the va...

Many web databases can be seen as providing partial and overlapping information about entities in the world. To answer queries effectively, it is required to integrate the information about the individual entities that are fragmented over multiple tables. At first blush this is just the inverse of a traditional database normalization problem the universal relation is to be reconstructed from th...

URL normalization is a process of transforming URL strings into canonical form. Through this process, duplicate URL representations for web pages can be reduced significantly. There are a number of normalization methods. In this paper, we describe four metrics for evaluating normalization methods. The reliability and consistency of a URL is also considered in our evaluation. With the metrics pr...

Normalization as a layer within neural networks has over the years demonstrated its effectiveness in network optimization across wide range of different tasks, with one most successful approaches being that batch normalization. The consensus is better estimates BatchNorm normalization statistics (μ and σ2) each mini-batch result optimization. In this work, we challenge belief experiment new var...

In this study, we investigated the effects of changes in formant structure of externally presented speech signals on participants’ auditory perception of their own speech output (i.e., feedback) during a word production task. The study involved a novel combination of two previously established research paradigms: (1) sensorimotor adaptation to altered auditory feedback during speech, and (2) ex...