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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.
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Articles 6 Documents
Search results for , issue "Vol 4, No 3: September 2015" : 6 Documents clear
Assessment of BIM Implementation among MEP Firms in Nigeria Chen Wang; Shittu Hammed Adetola; Hamzah Abdul-Rahman
International Journal of Advances in Applied Sciences Vol 4, No 3: September 2015
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (331.55 KB) | DOI: 10.11591/ijaas.v4.i3.pp73-81

Abstract

The purpose of this study is to assess the awareness level and potential challenges for Building Information Modelling (BIM) adoption among the Mechanical, Electrical and Plumbing (MEP) design consultants and contractors in Nigeria, and to get the perspective of BIM in the industry. The research method used in this study was a fieldwork survey using structured questionnaires. The results from the responses were analysed using descriptive statistics, one-way ANOVA test for statistical significant difference, Chi-Square test, and Cross Tab analysis. The findings from the survey show that Nigeria MEP firms have a relatively high level of awareness toward BIM technology. The Most important challenges identified as barriers for BIM adoption are lack of technical expertise on BIM tools utilisation, lack of awareness of BIM technology, and high investment cost in training staff, process change, and software/hardware upgrade.
Song Recommendation System Using Maximal b-Matching Deepa S; Varsha R; Parvathi R
International Journal of Advances in Applied Sciences Vol 4, No 3: September 2015
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (566.048 KB) | DOI: 10.11591/ijaas.v4.i3.pp109-116

Abstract

The last decade has witnessed a fundamental paradigm shift on how information content is distributed among people. Nowadays, an increasing number of platforms allow everyone to participate both in information production and information consumption. The phenomenon has been coined as democratization of content. However, as the opportunities to find relevant information and relevant audience increases, so does the complexity of a system that would allow suppliers and consumers to meet in the most efficient way. Our motivation is building a “featured item” component for social-media applications. Such a component would provide recommendations to consumers each time they login the system. The existing system follows either collaborative filtering or content based filtering. Collaborative filtering methods are based on collecting and analyzing a large amount of information on user’s behaviours, activities or preferences and predicting what users will like based on their similarity to other users. Content-based filtering methods are based on a description of the item and a profile of the user's preference. Both of these methods require input from the user in the form of ratings or other user's likes. But social content matching takes into account only the user's preferences and also the capacity constraints. For each item 't' and each user 'u', consider constraints on the maximum number of edges that t and u can participate in the matching. These capacity constraints can be estimated by the activity of each user and the relative frequency with which items need to be delivered. Here we introduce the concept called b-matching goal is to find a matching that satisfies all capacity constraints and maximizes the total weight of the edges in the matching. The result of b-matching is the set of songs that are to be recommended to the user based on his likes.
Novel Design of Reversible MUX and DEMUX using GDI Techinque Majety Naveenkumar
International Journal of Advances in Applied Sciences Vol 4, No 3: September 2015
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (327.526 KB) | DOI: 10.11591/ijaas.v4.i3.pp103-108

Abstract

Now a day’s Reversible logic is playing a crucial role in designing of digital circuits and it is used in reducing power consumption in digital design. By regaining the bit loss it reduces the power consumption in digital circuits. Gate diffusion input (GDI) is a technique of low-power digital circuit design. This technique reduces the power consumption, delay, and transistor count by maintaining the complexity very low of logic design. In these paper a novel MUX and DEMUX has been presented, which can be extended up to 1:2n and 2n:1 respectively  and these are developed by using only one type of Reversible gate i.e. Fredkin Gate (FRG) and Not Gate. The simulations are done in H-Spice using 90nm technology.
Performance and Analysis of Automatic Detection Of Ground-Glass Pattern in Lung Disease using High-Resolution Computed Tomography M. Anto Bennet; G. Sankar Babu; S. Mekala; S. Natarjan; N. Srinivasan
International Journal of Advances in Applied Sciences Vol 4, No 3: September 2015
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (519.77 KB) | DOI: 10.11591/ijaas.v4.i3.pp95-102

Abstract

This study proposes an approach for automatic detection of Ground glass pattern, a lung disease, from Computed Tomography (CT) and High Resolution Computed Tomography (HRCT) scans of the lung. The algorithm is based on frequency spectrum analysis of image using Gabor filter bank. Gabor filter banks are used to support the frequency extraction process. These algorithms when applied to HRCT images will assist doctors to gain more information than from the CT images. The tasks are completed in three steps: Preliminary mask formation, Peripheral mask formation and finally post processing. By these, higher sensitivity and selectivity may be achieved with fast processing time. In the post processing, binary noise removal technique is used to remove noise from the detection mask.
Resistivity Studies On Mn Site Substituted LCMSO Manganites Bharat R. Kataria; Chirag Savaliya; J. H. Markna
International Journal of Advances in Applied Sciences Vol 4, No 3: September 2015
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (433.539 KB) | DOI: 10.11591/ijaas.v4.i3.pp90-94

Abstract

Effect of Mn-site disorder in La0.67Ca0.33Mn1-xSbxO3 (LCMSO) created by the substitution of Sb5+ at Mn-site is studied through X-ray diffraction (XRD) and temperature dependent resistivity measurements to identify the role of size mismatch at Mn-site and their resistivity property correlations. XRD patterns collected at room temperature for all the LCMSO samples reveal single phasic nature without any detectable impurities within the measurement range studied. XRD data shows that all the samples possess orthorhombic structure without any structural phase transition. Variation in resistivity with Sb5+ content has been discussed in detail in the context of modifications in the structural and magnetic lattices and structural disorder.
Design of A New Three Phase Hybrid H-bridge and H-Type FCMLI for Various PWM Strategies Chinnapettai Ramalingam Balamurugan; S.P. Natarajan; V. Padmathilagam; T.S. Anandhi
International Journal of Advances in Applied Sciences Vol 4, No 3: September 2015
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (561.1 KB) | DOI: 10.11591/ijaas.v4.i3.pp82-89

Abstract

The inverters have to be designed to obtain a quality output voltage or a current waveform with a minimum amount of ripple content. In high power and high voltage applications the conventional two level inverters, however, have some limitations in operating at high frequency mainly due to switching losses and constraints of the power device ratings. Series and parallel combination of power switches in order to achieve the power handling voltages and currents. The conventional two level inverters produce THD levels around 60% even under normal operating conditions which are undesirable and cause more losses and other power quality problems too on the AC drives and utilities. Nowadays, multilevel inverters are widely used in power industry. Voltage unbalance problem is one of the major issues in working of multilevel inverter. In this paper, a three phase H-bridge + H-type FCMLI using sinusoidal reference, third harmonic injection reference, 60 degree reference and stepped wave reference are initially developed using SIMULINK and then implemented in real time environment using dSPACE. The five level output voltages of the chosen MLIs obtained using the MATLAB and dSPACE based PWM strategies and the corresponding % THD, VRMS (fundamental) , CF and FF are presented and analyzed. It is observed that bipolar COPWM-C provides output with relatively low distortion for sine reference and bipolar COPWM-B strategy is found to perform better since it provides relatively higher fundamental RMS output voltage for 60 degree reference.

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