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International Journal of Advances in Applied Sciences
ISSN : 22528814     EISSN : 27222594     DOI : http://doi.org/10.11591/ijaas
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 683 Documents
Software System Package Dependencies and Visualization of Internal Structure Ahmad Abdul Qadir Alrababah
International Journal of Advances in Applied Sciences Vol 7, No 1: March 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (310.544 KB) | DOI: 10.11591/ijaas.v7.i1.pp13-20

Abstract

This manuscript discusses the visualization methods of software systems architecture with composition of reverse engineering tools and restoration of software systems architecture. The visualization methods and analysis of dependencies in software packages are written in Java. To use this performance graphit needs to describe the relationships between classes inside the analyzed packages and between classes of different packages. In the manuscript also described the possibility of tools to provide the infrastructure for subsequent detection and error correction design in software systems and its refactoring.
Energy and Exergy Analyses of Egyptian Cement Kiln Plant with Complete Kiln Gas Diversion through by Pass Laila M. Farag
International Journal of Advances in Applied Sciences Vol 1, No 1: March 2012
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (78.021 KB) | DOI: 10.11591/ijaas.v1.i1.pp35-44

Abstract

The present article deals with evaluation of energy and exergy efficiences of an Egyptian  dry process cement kiln plant  with precalciner  characterized by that  the whole kiln gas is diverted through  by pass . Such diversion is necessary to break the intense cycles of   secondary constituents  Cl, alkalis and sulfur that may arise  between precaciner -preheater and kiln due to the high content of the raw materials of such secondary constituents. Based on average actual operation data  of the process, energy and exergy balances have been established around the  preheater-precalciner, the rotary kiln , the rotary cooler and the whole process. Energetic- and exergetic efficiency of the process attains  40%  and 25.7%  respectively . Sum of the exergy outputs attains about 49% of total exergy input and   irreversibility loss = 2354 kJ/kg clinker which represents about 51 % of total exergy input.  Energy and exergy of the by pass gases are the largest output loss items (  ~770 and 416 kJ/kg cli respectively) followed by those of the preheater exit gases (~ 622 and 152 kJ/kg cli respectively). For comparative purpose , the process was evaluated with considering no diversion of kiln gas  through by pass  . Energetic- and exergetic efficiency has been estimated in this case as  52%  and  34 %  respectively and the irreversibility attains  1840 kJ/kg clinker which represents about 52 % of total exergy input.
Weighted Rank Query Search over Cloud Data Storage K.Naga Gopi; K. Thirupathi Rao; K. Chaitanya; R. Venkatesh
International Journal of Advances in Applied Sciences Vol 5, No 2: June 2016
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (428.024 KB) | DOI: 10.11591/ijaas.v5.i2.pp85-93

Abstract

This paper describes and fixes the problem of multi-keyword rated look for over secured reasoning information (MRSE) while preserving strict system sensible comfort in the reasoning processing model. Information proprietors are roused to delegate their convoluted data administration frameworks from neighborhood destinations to the business open thinking for extraordinary flexibility and monetary advantages. Anyway, for safeguarding data solace, delicate data must be secured before outsourcing, which obsoletes traditional data use in light of plaintext essential word and key expression search for. To better bolster clients in their long haul data missions on the Web, Google stay informed concerning their worries and mouse snaps while seeking on the web. In this paper, we think about the issue of arranging a client's conventional concerns into gatherings in an intense and electronic style. In a flash deciding inquiry gatherings is useful for various distinctive online search for motor parts and projects, for example, question recommendations, result position, question alteration, sessionization, and community explore for. In our method, we depart past strategies to depend on literary resemblance or moment points of confinement, and we suggest a more compelling  technique that controls search for question logs.
Simplified Space Vector Pulse Width Modulation Based on Switching Schemes with Reduced Switching Frequency and Harmonics for Five Level Cascaded H-Bridge Inverter Sirisha, B.; Satishkumar, Dr. P.
International Journal of Advances in Applied Sciences Vol 7, No 2: June 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (668.224 KB) | DOI: 10.11591/ijaas.v7.i2.pp127-134

Abstract

This paper presents a simplified control strategy of SVPWM with a three segment switching sequence and 7 segment switch frequency for high power multilevel inverter. In the proposed method, the inverter switching sequences are optimized for minimization of device switching sequence frequency and improvement of harmonic spectrum by using the three most derived switching states and one suitable redundant state for each space vector. The proposed 3-segment sequence is compared with conventional 7-segment sequence similar for five level Cascaded H-Bridge inverter with various values of switching frequencies including very low frequency. The output spectrum of the proposed sequence design shows the reduction of device switching frequency and states current and line voltage. THD this minimizing the filter size requirement of the inverter, employed in industrial applications. Where  sinusoidal output voltage is required.
Survey of part-of-speech tagger for mixed-code Indian and foreign language used in social media Bhushan Ashokrao Nikam
International Journal of Advances in Applied Sciences Vol 8, No 4: December 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (575.22 KB) | DOI: 10.11591/ijaas.v8.i4.pp264-268

Abstract

Part-Of-Speech Tagger (POS Tagger) is a tool that scans the text in specific language and allocates chunks of speech to individual word (and another token), such as verb, adjective, nown etc., as more fine-grained POS tags are used in computational applications like 'noun-plural'. Basically, the goal of a POS tagger is to allocate linguistic (mostly grammatical) information to sub-sentential units, called tokens as well as to words and symbols (e.g. punctuation). This paper presents a survey of POS  Tagger used for code-Mixed Indian and Foreign languages. Various methods, procedures, and features required to device POS Tagger for code-mixed foreign languages especially for Indian are studied and observations related to it are reported.
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

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (287.12 KB) | DOI: 10.11591/ijaas.v4.i4.pp117-123

Abstract

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.
Spectral Efficient Blind Channel Estimation Technique for MIMO-OFDM Communications Renuka Bhandari; Sangeeta Jadhav
International Journal of Advances in Applied Sciences Vol 7, No 3: September 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (719.621 KB) | DOI: 10.11591/ijaas.v7.i3.pp286-297

Abstract

With emerge of increasing research in the domain of future wireless communications, massive MIMO (multiple inputs multiple outputs) attracted most of researchers interests. Massive MIMO is high-speed wireless communication standards. A channel estimation technology plays the essential role in the MIMO systems. Efficient channel estimation leads to spectral efficient wireless communications. The critics of Inter-Symbol Interference (ISI) are the challenging tasks while designing the channel estimation methods. To mitigate the challenges of ISI, we proposed the novel blind channel estimation method which based on Independent component analysis (ICA) in this paper. Proposed channel estimation it works for both blind interference cancellation and ISI cancellation. The proposed Hybrid ICA (HICA) method depends on pulse shape filtering and ambiguity removal to improve the spectral efficiency and reliability for MIMO communications. The Kurtosis operation is used to measure the complex data at first to estimate the common signals. Then we exploited the advantages of 3rd and 4th order Higher Order Statistics (HOS) to priorities the common signals during the channel estimation. In this paper, we present the detailed design and evaluation of HICA blind channel estimation method. We showed the simulation results of HICA against the state-of-art techniques for channel estimation using BER, MSE, and PAPR.
Speed control of sensorless brushless DC motor by computing back EMF from line voltage difference R. Sivakami; Thangaraj K.
International Journal of Advances in Applied Sciences Vol 9, No 2: June 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (767.031 KB) | DOI: 10.11591/ijaas.v9.i2.pp125-131

Abstract

Sensorless operation of permanent magnet brushless direct current (BLDC) motor drive controls the rotating speed with different applied voltage. No phase lagging is produced which leads to increase the efficiency and minimize the torque pulsation of the BLDC motor. Initially, motor can be started by following the v/f method then allows the sensorless mode after reaching the minimum speed of 500-1000rpm. The Sensorless BLDC motors are highly used due to higher efficiency, reliability power, acoustic noise, smaller, lighter, greater dynamic response, better speed versus torque characteristics, higher speed range and longer life. Thus the source voltage spikes and switching losses are reduced. This method can be demonstrated through MATLAB simulation and DSP TMS 320LF2407A is used in the experimental setup to get the output
An Integrated Approach for Compendium Generator using Customized Algorithms M. Suman; Tharun Maddu; M. Mohan
International Journal of Advances in Applied Sciences Vol 4, No 1: March 2015
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (808.383 KB) | DOI: 10.11591/ijaas.v4.i1.pp6-12

Abstract

Text Summarization is a process that is to give the shorter version of a text document. For many research scholars who want to do their research on a specific domain has to search a lot of documents on that topic related to a specific domain. It is also difficult to go through the lot of the research papers present  in that particular domain which takes a lot of time at this moment of time there are  lots of chances in missing some key words present in those research papers.  So that Summarizer is used to give the summary of a paper. The aim of our project is to reduce the body of the text and maintaining coherence and avoiding redundancy. Winnowing is an algorithm that gives the coherence between the multiple papers when multiple papers are given as the input. Redundancy that is the repeated words or sentences can be avoided using the MMR algorithm.
Identification of the Inrush Current of the Internal Faults of Power Transformers Based on the Differential Relay Function Majid Salimi
International Journal of Advances in Applied Sciences Vol 5, No 3: September 2016
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (721.984 KB) | DOI: 10.11591/ijaas.v5.i3.pp141-148

Abstract

The inrush current of transformer is one of the most important factors in the damaging of power transformers and reducing their useful life. Differential relays are one of the main and primary protections of power transformers. Therefore, the correct and fast operation of these devices is so important. In this paper, an inrush flow detection method is proposed in order to prevent the inaccurate performance of differential relay. In the proposed method, the analysis of the wavelet transform frequency time is used based on the extracted characteristics. Also, a criterion called correlation coefficient is used in order to create a suitable pattern and use it in the proposed algorithm. The simulation of the proposed algorithm is performed by the PSCAD software and implemented in the MATLAB environment. The results of the simulation confirm the accuracy of the proposed method.

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