Garuda - Garba Rujukan Digital

Article Per Year (5 Year)

All

International Journal of Advances in Applied Sciences

IJAAS
Website

Published by Institute of Advanced Engineering and Science

ISSN : 22528814 EISSN : 27222594 DOI : http://doi.org/10.11591/ijaas

Core Subject : Science, Education, Social,

Earth & Planetary Sciences Environmental Science Materials Science & Nanotechnology Mathematics Physics

International Journal of Advances in Applied Sciences (IJAAS) is a peer-reviewed and open access journal dedicated to publish significant research findings in the field of applied and theoretical sciences. The journal is designed to serve researchers, developers, professionals, graduate students and others interested in state-of-the art research activities in applied science areas, which cover topics including: chemistry, physics, materials, nanoscience and nanotechnology, mathematics, statistics, geology and earth sciences.

Arjuna Subject : -

Articles 6 Documents

Search results for , issue "Vol 4, No 4: December 2015" : 6 Documents clear

Commodity Price Data Analysis Using Web Scraping M. Kameswara Rao; Rohit Lagisetty; M.S.V.K. Maniraj; K.N.S. Dattu; B. Sneha Ganga
International Journal of Advances in Applied Sciences Vol 4, No 4: December 2015
Publisher : Institute of Advanced Engineering and Science

Today, analysis of data which is available on the web has become more popular, by using such data we are capable to solve many issues. Our project deals with the analysis of commodity price data available on the web. In general, commodity price data analysis is performed to know inflation rate prevailing in the country and also to know cost price index (CPI). Presently in some countries this analysis is done manually by collecting data from different cities, then calculate inflation and CPI using some predefined formulae. To make this entire process automatic we are developing this project. Now a day’s most of the customers are depending on online websites for their day to day purchases. This is the reason we are implementing a system to collect the data available in various e-commerce sites for commodity price analysis. Here, we are going to introduce a data scraping technique which enables us to collect data of various products available online and then store it in a database there after we perform analysis on them. By this process we can reduce the burden of collecting data manually by reaching various cities. The system consists of web module which perform analysis and visualization of data available in the database.

Multiloop and Prediction Based Controller Design for Sugarcane Crushing Mill Process Sandeep Kumar Sunori; Pradeep Kumar Juneja; Anamika Bhatia Jain
International Journal of Advances in Applied Sciences Vol 4, No 4: December 2015
Publisher : Institute of Advanced Engineering and Science

In the present work a sugarcane crushing mill is presented as a MIMO system with high multivariable interaction.A linear model of the plant is taken with flap position and turbine speed as manipulated variables and mill torque and buffer chute height as controlled variables.The multiloop PI controller has been designed for this plant by first investigating the RGA and the value of Niederlinski index of this plant.The decoupling of this system is done and the respective open loop and closed loop step responses are observed and compared with those of the composite MIMO system. Also the performance of multiloop controller is compared with controller designed using model predictive control system strategy for this plant.

Evaluation of h- and g-indices of Scientific Authors using Modified K-Means Clustering Algorithm S. Govinda Rao; A. Govardhan
International Journal of Advances in Applied Sciences Vol 4, No 4: December 2015
Publisher : Institute of Advanced Engineering and Science

In this paper we proposed modified K-means algorithm to assess scientific authors performance by using their h,g-indices values. K-means suffers from poor computational scaling and efficiency as the number of clusters has to be supplied by the user. Hence, in this work, we introduce a modification of K-means algorithm that efficiently searches the data to cluster points by compute the sum of squares within each cluster which makes the program to select the most promising subset of classes for clustering. The proposed algorithm was tested on IRIS and ZOO data sets as well as on our local dataset comprising of h- and g-indices, which are the prominent markers for scientific excellence of authors publishing papers in various national and international journals. Results from analysis reveal that the modified k-means algorithm is much faster and outperforms the conventional algorithm in terms of clustering performance, measured by the data discrepancy factor.

Dynamic Mood Detection in Chat Application Using Text Pattern Analysis Dheepthi M; M. Hemalatha
International Journal of Advances in Applied Sciences Vol 4, No 4: December 2015
Publisher : Institute of Advanced Engineering and Science

In modern communication and social networking the peoples of different ages are of different moods while chatting. This paper deals with detecting the modes and identifying human emotions through text mining. This paper explored to detect the mood variation of different age group that swings is maximum as compared to other age group. The moods can be classified in the basis of gender, age group and the emotion while texting. The random sample is taken from public chat in that the users are manually classified for strength of positive and negative emotions. By classifying emotions and using decision tree different variations are analyzed in this paper. Outlier study is used to recognize emotion distinction in child having any kind of disability. The pattern of the text is analysed and clustered and with the help of Besiyan classifier the text is classified in accordance with their emotions.

Machine Learning in Big Data Lidong Wang
International Journal of Advances in Applied Sciences Vol 4, No 4: December 2015
Publisher : Institute of Advanced Engineering and Science

Machine learning is an artificial intelligence method of discovering knowledge for making intelligent decisions. Big Data has great impacts on scientific discoveries and value creation. This paper introduces methods in machine learning, main technologies in Big Data, and some applications of machine learning in Big Data. Challenges of machine learning applications in Big Data are discussed. Some new methods and technology progress of machine learning in Big Data are also presented.

Speech Recognition Using MFCC and VQLBG M. Suman; K. Harish; K. Manoj Kumar; S. Samrajyam
International Journal of Advances in Applied Sciences Vol 4, No 4: December 2015
Publisher : Institute of Advanced Engineering and Science

Speaker Recognition is the computing task of confirmatory a user’s claimed identity mistreatment characteristics extracted from their voices. This technique is one of the most helpful and in style biometric recognition techniques in the world particularly connected to areas in that security could be a major concern. It are often used for authentication, police work, rhetorical speaker recognition and variety of connected activities. The method of Speaker recognition consists of two modules particularly feature extraction and have matching. Feature extraction is that the method during which we have a tendency to extract a tiny low quantity of knowledge from the voice signal that will later be used to represent every speaker. Feature matching involves identification of the unknown speaker by scrutiny the extracted options from his/her voice input with those from a collection of identified speakers. Our projected work consists of truncating a recorded voice signal, framing it, passing it through a window perform, conniving the Short Term FFT, extracting its options and Matching it with a hold on guide. Cepstral constant Calculation and Mel frequency Cepstral Coefficients (MFCC) area unit applied for feature extraction purpose.VQLBG (Vector Quantization via Linde-Buzo-Gray) algorithmic rule is used for generating guide and feature matching purpose.

Page 1 of 1 | Total Record : 6

Filter by Year

2015 2015

Filter By Issues

All Issue Vol 13, No 2: June 2024 Vol 13, No 1: March 2024 Vol 12, No 4: December 2023 Vol 12, No 3: September 2023 Vol 12, No 2: June 2023 Vol 12, No 1: March 2023 Vol 11, No 4: December 2022 Vol 11, No 3: September 2022 Vol 11, No 2: June 2022 Vol 11, No 1: March 2022 Vol 10, No 4: December 2021 Vol 10, No 3: September 2021 Vol 10, No 2: June 2021 Vol 10, No 1: March 2021 Vol 9, No 4: December 2020 Vol 9, No 3: September 2020 Vol 9, No 2: June 2020 Vol 9, No 1: March 2020 Vol 8, No 4: December 2019 Vol 8, No 3: September 2019 Vol 8, No 2: June 2019 Vol 8, No 1: March 2019 Vol 7, No 4: December 2018 Vol 7, No 3: September 2018 Vol 7, No 2: June 2018 Vol 7, No 1: March 2018 Vol 6, No 4: December 2017 Vol 6, No 3: September 2017 Vol 6, No 2: June 2017 Vol 6, No 1: March 2017 Vol 5, No 4: December 2016 Vol 5, No 3: September 2016 Vol 5, No 2: June 2016 Vol 5, No 1: March 2016 Vol 4, No 4: December 2015 Vol 4, No 3: September 2015 Vol 4, No 2: June 2015 Vol 4, No 1: March 2015 Vol 3, No 4: December 2014 Vol 3, No 3: September 2014 Vol 3, No 2: June 2014 Vol 3, No 1: March 2014 Vol 2, No 4: December 2013 Vol 2, No 3: September 2013 Vol 2, No 2: June 2013 Vol 2, No 1: March 2013 Vol 1, No 4: December 2012 Vol 1, No 3: September 2012 Vol 1, No 2: June 2012 Vol 1, No 1: March 2012 More Issue

Home Page

OAI Link

Editorial Team

Contact

Reviewer

Google Scholar

Contact Name
-

Contact Email
-

Phone
-

Journal Mail Official
-

Editorial Address
-

Location
Kota yogyakarta,

Daerah istimewa yogyakarta

INDONESIA

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Home Page

OAI Link

Editorial Team

Contact

Reviewer

Google Scholar

Contact Name -

Contact Email -

Phone -

Journal Mail Official -

Editorial Address -

Location Kota yogyakarta, Daerah istimewa yogyakarta INDONESIA

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Contact Name
-

Contact Email
-

Phone
-

Journal Mail Official
-

Editorial Address
-

Location
Kota yogyakarta,

Daerah istimewa yogyakarta

INDONESIA