International Journal of Advances in Applied Sciences
ISSN : 22528814     EISSN : -
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 308 Documents
Design and Construction Optical Fiber Sensor System for Detection the Stress and Fine Motion R. Mhdi, Bushra; A.Aljabar, Nahla; M.Ali, Suad; H.Khalid, Abeer
International Journal of Advances in Applied Sciences Vol 2, No 2: June 2013
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Original Source | Check in Google Scholar | Full PDF (1692.038 KB) | DOI: 10.11591/ijaas.v2i2.459

Abstract

Two main concepts in design and construction of stress and fine motion detection system using fiber optic sensor was included in this project. The first is design and construction concept using Intensity Modulation techniques using plastic multimode optical fiber(125μm dim)and has NA(0.27) with losses rate (2.1 db)and directionality about(25 db),and we used (He-Ne)laser source(632.8 nm)with (LLM-2 light power meter) to detect the variation in output laser power due to micro-displacement for movement body under test. The second concept include Modeling for laser beam tracking through fiber and that which reflected for mirror to detector. Variation in output power due to target movement was theoretical analyzed from study of variation of Gaussian front wave profile of using (MATLAB) program within displacement range from(0-5 mm).Non-linear relation between separated distance and beam intensity was investigated. Finally our design are evaluated in comporizim with published research which found compatible in Theoretical and experimental results.
Factors Contributing to Physical and Non-Physical Waste Generation in Construction Industry Nagapan, Sasitharan; Abdul Rahman, Ismail; Asmi, Ade
International Journal of Advances in Applied Sciences Vol 1, No 1: March 2012
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Original Source | Check in Google Scholar | Full PDF (202.189 KB) | DOI: 10.11591/ijaas.v1i1.476

Abstract

Construction industry has been developing rapidly around the world. This development increases pressure especially in developing countries to manage construction wastes generated from the industry. The construction wastes can be grouped into physical and non-physical waste and it has impact to environment, economy and social of a country. Before it can be managed well, it is crucial to understand the root causes of the generation. This paper identifies factors that contribute to the generated construction waste. Mapping technique was adopted to extract the physical and non-physical waste factors from 30 research articles around the world. It was found 81 factors exist in construction activities which are directly contributing to waste generation. These factors are grouped into seven categories: Design, Handling, Worker, Management, Site condition, Procurement and External factor. From these factors, 63 contribute to physical waste and 73 contribute to non-physical waste. The highest frequency scored in each category of physical and non-physical waste factor is identified and explained with examples. These findings give awareness to construction stakeholder about the existence of physical and non-physical waste contributory factors.
Factors effect on the effective length in a double strap joint between steel plates and CFRP Ali, Majid Mohammed
International Journal of Advances in Applied Sciences Vol 1, No 1: March 2012
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Original Source | Check in Google Scholar | Full PDF (101.854 KB) | DOI: 10.11591/ijaas.v1i1.484

Abstract

This paper presents the behavior of axially loaded flat steel plates strengthened using carbon fiber reinforced polymer sheets. Two steel plates were joined together with adhesive and followed by the application of carbon fiber sheet double strap joint with different bond lengths. The effective length of CFRP sheet has been study by using commercially available finite element analysis software ANSYS V12.1. A parametric study has been performed by numerical modeling with the variables of CFRP sheet thickness, adhesive layer thickness, steel plate thickness and number of CFRP sheet layer.
Finite Element Analysis of Heat and Mass Transfer Effects on Unsteady MHD Free Convection Flow past a Vertical Permeable Moving Plate with Radiation Murali, Gundagani
International Journal of Advances in Applied Sciences Vol 1, No 1: March 2012
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Original Source | Check in Google Scholar | Full PDF (311.456 KB) | DOI: 10.11591/ijaas.v1i1.492

Abstract

The paper examined the radiation effect on unsteady MHD free convection heat and mass transfer flow on a viscous, incompressible, electrically conducting fluid past a vertical permeable moving plate with radiation. The non-linear partial differential equations governing the flow have been solved numerically using finite element method. Graphical results for velocity, temperature and concentration profiles have been obtained, to show the effects of different parameters entering in the problem. Such flow problems are important in many processes, in which there is combined heat and mass transfer with radiation. It has been observed that the velocity increase with the increase in the radiation parameter and there is a increase in temperature with the increase in the value of radiation parameter.Keywords: Heat and Mass transfer, MHD, Radiation, FEM
Dynamic Scientific Method for Predicting Shelf Life of Buffalo Milk Dairy Product Goyal, Sumit; Kumar Goyal, Gyanendra
International Journal of Advances in Applied Sciences Vol 1, No 1: March 2012
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Original Source | Check in Google Scholar | Full PDF (89.087 KB) | DOI: 10.11591/ijaas.v1i1.518

Abstract

Feedforward multilayer machine learning models were developed to predict the shelf life of burfi stored at 30oC. Experimental data of the product relating to moisture, titratable acidity, free fatty acids, tyrosine, and peroxide value were input variables, and the overall acceptability score was the output. Bayesian regularization algorithm was used for training the network. The transfer function for hidden layers was tangent sigmoid, and for the output layer it was purelinear function. The network was trained with 100 epochs, and neurons in each hidden layers varied from 3:3 to 20:20. Excellent agreement was found between the actual and predicted values establishing that feedforward multilayer machine learning models are efficient in predicting the shelf life of burfi.
Time and Cost Performance in Construction Projects in Southern and Central Regions of Peninsular Malaysia Memon, Aftab Hameed; Abdul Rahman, Ismail; Abdul Azis, Ade Asmi
International Journal of Advances in Applied Sciences Vol 1, No 1: March 2012
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Original Source | Check in Google Scholar | Full PDF (205.603 KB) | DOI: 10.11591/ijaas.v1i1.537

Abstract

Time and cost performance is the fundamental criteria for success of any project. Unfortunately construction industry in Malaysia has been regarded as industry facing poor performance leading to failure in achieving effective time and cost performance. As a consequence most of the project face huge amount of time and cost overrun. This study assessed the time and cost performance of construction projects in Malaysia using structured questionnaire survey. The findings of study revealed that 92% of construction projects were overrun and only 8% of project could achieve completion within contract duration. The amount of time overrun was in between 5-10% as agreed by respondents. In terms of cost performance only 11% of respondents mentioned that normally their projects are finished within the budgeted cost while 89% of respondents agreed that their projects were facing the problem of cost overrun with average overrun at 5-10% of contract price.  The major contributors of this poor performance include design and documentation issues, financial resource management and project management and contract administration issues. Further, qualitative study was carried out using semi-structured interviews with the experience personnel involving in managing construction project which resulted in developing 13 mitigation measure to improve time performance and 15 mitigation measure to improve cost performance in construction project. This study will help the practitioners to implement the mitigation measure at planning stage in order to achieve successful construction projects.
Analytical Model for Critical Impact Energy of Spalling and Penetration in Concrete Wall Imran Latif, Qadir Bux alias; Abdul Rahman, Ismail; Ahmad Zaidi, Ahmad Mujahid; Latif, Kamran; Hameed, Aftab; Nagapan, Sasitharan
International Journal of Advances in Applied Sciences Vol 1, No 2: June 2012
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Original Source | Check in Google Scholar | Full PDF (308.572 KB) | DOI: 10.11591/ijaas.v1i2.549

Abstract

Penetration is the basic element of designing protective concrete structure against the local impact of hard projectile. Conventional, un-conventional, and sensitive structures should have to be designed as self-protective structures in order to resist natural disaster, consciously engendered unpleasant incidents, or/and against accidently occur incidents in nuclear plants, local industries etc.. When hard projectile collides with concrete wall, it is the critical impact energy of the projectile that deforms concrete wall. Critical impact energy is the dominant cause of penetration in concrete structures. Therefore, it is vital to study critical impact energy that causes penetration. An analytical model is developed to predict the required critical impact energy for spalling and tunneling and maximum penetration without rear effects in concrete walls when it is impacted with hard projectile. The newly developed analytical model is examined for CRH =2.0, 3.0. It was found that the predicted results from analytical model are in close relation with experimental data with less than (8%) and (17%) error in case of CRH =2.0 and 3.0. Furthermore, Chen and Li nose shape factor is modified as (Ni), with introduction of empirical frictional factor (Nf). It was found that the predicted results from analytical model with proposed nose shape (Ni) are in close relation with experimental data in all cases as compared to predicted results with traditional Li and Chen nose shape (N*). In general, the analytical model generates encouraging prediction which is consistent and follows a general trend of experimental results. Therefore, it is suggested that the proposed analytical model is conservative.
Feasibility Analysis of Transport Demand Management Policies through a Bottom-Up Planning Approach Soltani, Ali; Allan, Andrew
International Journal of Advances in Applied Sciences Vol 1, No 2: June 2012
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Original Source | Check in Google Scholar | Full PDF (356.661 KB) | DOI: 10.11591/ijaas.v1i2.582

Abstract

In order to reduce traffic congestion and the associated problems, various policies have been put forward so far. In this way, it is believed that Transport Demand Management (TDM) offers an effective and economical solution. Since most TDM policies have both positive and negative impacts, public participation is, therefore, an efficient way to achieve better results. This paper attempts to evaluate a set of TDM policies and define their priorities through a Bottom-up Planning (BUP) approach for the metropolitan Shiraz, Iran. In this way, the possibility of developing common principles via the investigation of shared goals within an integrated framework for urban transport policies that are desired for sustainable transport is evaluated. The framework method was utilized through a BUP expert consultation process. A number of experts (n=21) were asked to prioritize the components of each policy package. A set of policy measures as solutions to traffic congestion was provided in three different categories: sustainable transport approach, engineering approach, and traffic restraint approach. Each category included 10 measures which were suggested after a primary survey on the metropolitans traffic problems. These measures were weighted and rated using the Analytical Hierarchal Process (AHP) technique. Then the Weighted Scoring Method was applied to find performance priorities. Public bus and bicycle infrastructure development were found to be the two most favorite policies. In total, sustainable transport solutions were the most preferred policies in the bottom-up stages. The findings can contribute some insights to future transport planning in order to provide more opportunities for community involvement in planning processes.
Design Thin Film Narrow Band-pass Filters For Dense Wavelength Division Multiplexing H. Abdullah, Gaillan; Mhdi, Bushra R; A.Aljaber, Nahla
International Journal of Advances in Applied Sciences Vol 1, No 2: June 2012
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Original Source | Check in Google Scholar | Full PDF (313.089 KB) | DOI: 10.11591/ijaas.v1i2.699

Abstract

We present tow different design thin film multi-cavity narrow band-pass filter. These filters are most widely used filtration technologies that made possible technical advancement of modern optical communication system. This paper is concerned with a theoretical study on optoelectronics physics to design and analyze this type of filter. A brief introduction to the thin film multi-cavity filter technology will be presented. The recent progress in design thin film multi-cavity technology will be reviewed. These designs consist of two material TiO2 / SiO2 as high / low index. The wavelength range from 600 to 900nm and detecting light at three and four wavelengths 620,700 and 805 also 625,685,760 and 885nm. The filter is to be coated on Fused Silica having index 1.55 and operates at normal incidence.
Quantitative Structure Property Relationship Modeling for Prediction of Retention Index for a Set of Some Organic Compounds Rahimi, Mehdi; Farahbakhsh, Hossein; Salehi, Nasrin
International Journal of Advances in Applied Sciences Vol 1, No 2: June 2012
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Original Source | Check in Google Scholar | Full PDF (160.47 KB) | DOI: 10.11591/ijaas.v1i2.706

Abstract

One of the most ubiquitous challenges of the scientists is the theoretical evaluation of experimental parameters to validate and improve their ability. Plant essential oils and their extracts have been greatly employed in folk medicine, food flavoring, fragrance and pharmaceutical industries. This work is a part of our comprehensive investigation to correlate the experimental and calculated retention indices (RI) of the some organic compounds from K. Javidnia et al. The structures of all organic compounds were drawn into the HYPERCHEM program and optimized using semi-empirical AM1 method, applying a gradient limit of 0.01 kcal/Å as a stopping criterion for optimized structures prior to geometry optimization step. Then molecular descriptors were calculated for each compound by the DRAGON software on the minimal energy conformations. The Stepwise SPSS was used for the selection of the variables that resulted in the best fitted models. By molecular modeling and calculation of descriptors, four significant descriptors (XMOD, PCD, MATS2e, GATS2e) related to the retention indices values of the essential oils, were identified. After the variables selection, the MLR method used for building the regression models. The statistical figures obtained by the proposed model are R2=0.989, RMSEP=53.08, REP =3.83 and SEP =54.94. In the final step, models generated were used to predict the retention index for a set of test compounds.

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