International Journal of Advances in Applied Sciences
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.
Articles
680 Documents
Spectroscopic properties of lithium borate glass containing Sm3+ and Nd3+ ions
I. Kashif;
A. Ratep;
S. Ahmed
International Journal of Advances in Applied Sciences Vol 9, No 3: September 2020
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijaas.v9.i3.pp211-219
Lithium borate glass samples mixed with a different concentration of Sm3+ and Nd3+ ions organized by quenching technique. Structural, vibration groups and spectral properties of glass samples investigated using X-ray diffraction, FTIR, UV/Vis/NIR and photoluminescence spectroscopy. The X-ray confirmed the lithium borate glass samples containing Sm3+ and Nd3+ ions in the amorphous state. Luminescence spectra of glass samples excited at 400 nm recorded, here three luminescence bands observed in Visible region, which due to spectra materials (Sm3+, Nd3+). These indicate that these glass samples responsible orange emission and used in the improvement of materials for LED, and optical devices. The functional vibration groups of the glass matrix studied using FTIR spectroscopy.
A view Plan Sheet Pile: Design Chart for Cantilever Retaining Wall Construction for Active and Passive Earth Pressure in Baghdad Soil
Ali A Mohammed
International Journal of Advances in Applied Sciences Vol 3, No 2: June 2014
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijaas.v3.i2.pp95-103
As society begins to demand greater and more efficient use of underground space, deep excavations are being carried out to meet the surging need for infrastructure in big cities. During excavation, an in situ wall system is often constructed to provide stability and to minimize movements of the adjacent ground. The choice of an appropriate retaining system depends on certain factors such as subsoil characteristics, groundwater condition, and building protection considerations. For some circumstances, steel sheet piling typically provides the most usual solution for the conditions encountered in the field. In order to ensure successful excavation work, the behaviors of the wall must be considered during the design phase. In this paper, the design of cantilever sheet pile walls involves the evaluation of loads imposed by soil, water, and surcharging was conducted using specialized computer program. The effect of variation in height, loading, and soil properties on the design was investigated. This paper is intended to enable the pile selection and penetration to be quickly determined for the certain construction cases of cantilever sheet pile in Baghdad soil. Finally, some simple guidelines to installation method and to prevent failures related to geotechnical works of sheet pile are presented.
Modeling The Multiple Indirect Effect Among Latent Constructs By Using Structural Equation Modeling: Volunteerism Program
Wan Mohamad Asyraf Wan Afthanorhan
International Journal of Advances in Applied Sciences Vol 3, No 1: March 2014
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijaas.v3.i1.pp25-32
This study aimed to evaluate the factors used for develop a best model of multiple indirect effect among latent constructs by using Structural Equation Modelling (SEM) on volunteerism program as a research subject. The data be collected through questionnaires distributed at four higher education institution. This questionnaire is constructed based on four dimension which is motivation, benefits, goverment support, and barrier The data were distributed by using stratified sampling technique and involving 453 respodents . In this case, the data were analyzed by using Analysis Moment of Structural (AMOS) 18.0 in order to examine the influence of exogenous and endogenous variables. As a result showed that the goverment support is significant and direct influences on motivation, benefits, and barrier. Moreover, the benefits and barrier is significant and direct influence on motivation. In generals, the findings revealed that benefits influence is most crucial for motivation of volunteerism.
IOT Based Oil Condition Monitoring of Wind Turbine Gearboxes with Smart Sensor Technology
L. Chitra;
V. Ramakrishnan
International Journal of Advances in Applied Sciences Vol 5, No 4: December 2016
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijaas.v5.i4.pp168-175
The performance parameters such as viscosity, humidity and pressure of the gear box lubricating oil should be monitored and controlled to improve the efficiency of the windmill. The recent technique like IOT is used for the continuous transmission of bulk data of these parameters from one machine to other machine which is situated in remote locations .Also the development of mobile technology and web made the live monitoring easier. Thus transmission and sharing of data takes place without any time delay. The technology also helps to completely eliminate the assistance nearby the site. The large wind farms in coastal areas are easily and continuously monitored and the data are recorded from remote locations with the mobile technology having internet connections. This paper also reports the design of MEMS viscosity sensor,MEMS humidity sensor and MEMS pressure sensor for continuous monitoring of the lubricating system .The main advantage of implementing MEMS devices is to reduce the size and cost and also the sensitivity is improved. Along with IOT, smart sensor technology is also introduced in the monitoring which avoids the serious problems that occur in wind mills.The performance parameters such as viscosity, humidity and pressure of the gear box lubricating oil should be monitored and controlled to improve the efficiency of the windmill. The recent technique like IOT is used for the continuous transmission of bulk data of these parameters from one machine to other machine which is situated in remote locations .Also the development of mobile technology and web made the live monitoring easier. Thus transmission and sharing of data takes place without any time delay. The technology also helps to completely eliminate the assistance nearby the site.The large wind farms in coastal areas are easily and continuously monitored and the data are recorded from remote locations with the mobile technology having internet connections. This paper also reports the design of MEMS viscosity sensor,MEMS humidity sensor and MEMS pressure sensor for continuous monitoring of the lubricating system .The main advantage of implementing MEMS devices is to reduce the size and cost and also the sensitivity is improved. Along with IOT, smart sensor technology is also introduced in the monitoring which avoids the serious problems that occur in wind mills.
Self-fertility of Four Female Parent Clones of Ananas comosus L., involved in a 6x6 Complete Diallel Mating System with Selfings using the Typological Approach
Issali Auguste Emmanuel;
Nguessan Angelo Evariste Badou;
Mpika Joseph;
Adiko Amoncho;
Sangare Abdourahamane;
Saraka Didier Martial;
Deffan Zranseu Ange Bénédicte
International Journal of Advances in Applied Sciences Vol 2, No 2: June 2013
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijaas.v2.i2.pp95-104
To determine the cropping type to apply to four clones of Ananas comosus in farms, their behaviour under hand selfings was analysed. 103-104-6, 410-106-33 and 410-200-15 hybrid female clones and RE43 Queen Victoria clone as well as HA10 and HA25 as controls were involved in a 6 x 6 complete diallel crossing system with selfings. The total seeds number derived from self hand-pollinations per week, mean seeds number obtained per self-pollinated flower and per week, weight of ripe fruit and bloomed flowers number per week were measured. The Anova, Principal Component Analysis (PCA) and Hierarchical Cluster Analysis (HCA) were successively run. Results showed that 410-200-15 was revealed self-incompatible, while RE43 is found to be self-sterile. In the same way, 410-106-33 expresses self-sterile behaviour, whereas 103-104-6 shows the self-fertile one. The behaviour under selfings of both 410-200-15 and 410-106-33 comes from their HA10 Smooth Cayenne female parent which was previously characterised like self-incompatible. The structurings provided by the Anova and HCA are globally comparable. The 410-200-15 hybrid clone can already be recommended for on-farm trials under mono-crop. Nonetheless, the multi-crop will be envisioned once panmixia results will have demonstrated its inter-sterility. The 410-106-33 and 103-104-6 must be first subjected to successive back crosses before their on-farm trials. The RE43 clone must be cultivated in one crop. The morphological relatedness of five clones is discussed.
Brain Image Segmentation using Level Set : An Hybrid Approach
P Sudharshan Duth;
Vimal Viswanath;
Pankaj Sreekumar
International Journal of Advances in Applied Sciences Vol 6, No 3: September 2017
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijaas.v6.i3.pp258-267
Advances in medical imaging technologies have given rise for effective diagnostic procedures. The acquisition promptness and resolution enhancements of imaging modalities have given physicians more information, less invasively about their patients. Active contours are used to segment, match and track images of an atomic structure by manipulating constraints derived from the image data together with prior knowledge about the location, size, and shape of these structures. The level set method is referred as a part of active contour family. The major disadvantages of level set method are initialization of controlling parameters and time complexity. The proposed method adopts Robust Spatial Kernel Fuzzy C-Means (RSKFCM) and Lattice Boltzmann Method (LBM) to overcome these drawbacks. RSKFCM is based on standard Fuzzy C-Means algorithm which uses Gaussian RBF kernel function as distance metric and incorporates spatial information. The LBM uses the energy function to determine and reduce the actual processing time which addresses the time complexity. The proposed system combines both RSKFCM and LBM to form a hybrid approach, and the system is tested on a large set of MRI brain images and the experimental results are found to be improved with respect to time complexity.
An Integrated Methodology of Rough Set Theory and Grey System for Extracting Decision Rules
Hossam Mohamed;
Mahdy S. El-Paoumy
International Journal of Advances in Applied Sciences Vol 2, No 1: March 2013
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijaas.v2.i1.pp9-14
Grey system theory and rough set theory are two different mathematical tools that are used to deal with uncertain or incomplete information, and yet they are relevant and complementary to a certain degree. The appropriate hybrid of the two theories can overcome the shortages of their definitions and applications and thus has more powerful functions. This paper proposes An Integrated Methodology that extracting decision rules based on combining grey system and rough set theory. The effectiveness of the proposed methodology was verified by application of this methodology to discover grade rules of electrical transformer evaluation.
The Combination of Steganography and Cryptography for Medical Image Applications
B. Kiran Bala;
R. Sasi Kumar
International Journal of Advances in Applied Sciences Vol 7, No 2: June 2018
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijaas.v7.i2.pp102-104
To give more security for the biomedical images for the patient betterment as well privacy for the patient highly confidently patient image report can be placed in database. If unknown persons like hospital staffs, relatives and third parties like intruder trying to see the report it has in the form of hidden state in another image. The patient detail like MRI image has been converted into any form of steganography. Then, encrypt those image by using proposed cryptography algorithm and place in the database.
Assessment the Mechanical Properties of Soil Cement Interlocking (SCI) Bricks: A Case Study in Malaysia
Ali A Mohammed
International Journal of Advances in Applied Sciences Vol 1, No 2: June 2012
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijaas.v1.i2.pp77-84
The research assessed and examined the mechanical properties of the Soil Cement Interlocking brick (SCI) to provide the information for the possible and appropriate development and revision of the (SCI) brick due to the substantial benefits which can be obtained by improving these sorts of bricks .Therefore, drastic efforts and accurate attention were paid precisely on the laboratory tests .Some of the laboratory investigation on (SCI) bricks were conducted in conjunction with the use of various masonry standards to evaluate the Compressive Strength , Dimensional Tolerance ,Water Absorption , Initial Rate of Suction and Modulus of Rapture. Results illustrated that the water absorption for (SCI) brick ranged from (13.566% -17.045%) ,the Initial Rate of Suction ranged from (1.746-3.573) kg/m2 ,the compressive strength on the other hand fell in range between (7.733-12.33)N/mm2 for (SCI)bricks without mortar, whereas the compressive strength for (SCI)bricks filled with mortar ranged from (12.406-15.098)N\mm2 and Modulus of Rapture was found to be to ranged between (0.004-0.023)Pa for (SCI) bricks without mortar ,whereas, Modulus of Rapture for (SCI)bricks filled with mortar was (0.004-0.017) Pa .The study revealed a good quality that can be produced from soil and cement by pressing method whereby contributing to sustainable development .
Cost Allocation of Reactive Power Using Matrix Methodology in Transmission Network
Gaurav Gupta;
Manisha Dubey;
Anoop Ayra
International Journal of Advances in Applied Sciences Vol 7, No 3: September 2018
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijaas.v7.i3.pp226-232
In the deregulated market environment as generation, transmission and distribution are separate entities; reactive power flow in transmission lines is a question of great importance. Due to inductive load characteristic, reactive power is inherently flowing in transmission line. Hence under restructured market this reactive power allocation is necessary. In this work authors presents a power flow tracing based allocation method for reactive power to loads. MVAr-mile method is used for allocation of reactive power cost. A sample 6 bus and IEEE 14 bus system is used for showing the feasibility of developed method.