International Journal of Research and Engineering
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Face Recognition System Based on Kernel Discriminant Analysis, K-Nearest Neighbor and Support Vector Machine
Get PDFAlthough many methods have been implemented in the past, face recognition is still an active field of research especially after the current increased interest in security. In this paper, a face recognition system using Kernel Discriminant Analysis (KDA) and Support Vector Machine (SVM) with K-nearest neighbor (KNN) methods is presented. The kernel discriminates analysis is applied for extracting features from input images. Furthermore, SVM and KNN are employed to classify the face image based on the extracted features. This procedure is applied on each of Yale and ORL databases to evaluate the performance of the suggested system. The experimental results show that the system has a high recognition rate with accuracy up to 95.25% on the Yale database and 96% on the ORL, which are considered very good results comparing with other reported face recognition systems
Failure Analysis in Conceptual Phase toward a Robust Design: Case Study in Monopropellant Propulsion System
Get PDFAs a system becomes more complex, the uncertainty in the operating conditions increases. In such a system, implementing a precise failure analysis in early design stage is vital. However, there is a lack of applicable methodology that shows how to implement failure analysis in the early design phase to achieve a robust design. The main purpose of this paper is to present a framework to design a complex engineered system resistant against various factors that may cause failures, when design process is in the conceptual phase and information about detailed system and component is unavailable. Within this framework, we generate a population of feasible designs from a seed functional model, and simulate and classified failure scenarios. We also develop a design selection function to compare robust score for candidate designs, and produce a preference ranking. We implement the proposed method on the design of an aerospace monopropellant propulsion system
Big Data and Big Data Analytics: Concepts, Types and Technologies
Get PDFNowadays, companies are starting to realize the importance of data availability in large amounts in order to make the right decisions and support their strategies. With the development of new technologies, the Internet and social networks, the production of digital data is constantly growing. The term "Big Data" refers to the heterogeneous mass of digital data produced by companies and individuals whose characteristics (large volume, different forms, speed of processing ) require specific and increasingly sophisticated computer storage and analysis tools. This article intends to define the concept of Big Data, its concepts, challenges and applications, as well as the importance of Big Data Analytics
Computational Fluid Dynamics: Science of the Future
Get PDFThis paper will answer a list of questions regarding the computational fluid dynamics (CFD). It will give a brief discussion regarding the significance of CFD and will recount the pros and cons of applying CFD. The following assignment will also give an overview of the terms that come under the ambit of CFD like discretization, numerical grid, initial conditions, boundary conditions, sweep, convergence, and turbulence modeling. The researchers such as Guang Xu et al. (2017), Raase and Nordström (2015), and Frigg et al. (2009) concluded that CFD is the science of the future as it cares in all aspects of life in the present and the future, CFD science treats the fluids mainly the air and the water as good and bad, bad when the CFD tries to find a way through the air and the water to get the minimum resistant for cost-effective and less fuel burning for greener, healthier and better world in many applications such submarines, air crafts, automobiles, ships, trains, motorbikes and too many other applications
MapReduce : Simplified Data Processing on Large Cluster
Get PDFMapReduce is a data processing approach, where a single machine acts as a master, assigning map/reduce tasks to all the other machines attached in the cluster. Technically, it could be considered as a programming model, which is applied in generating, implementation and generating large data sets. The key concept behind MapReduce is that the programmer is required to state the current problem in two basic functions, map and reduce. The scalability is handles within the system, rather than being handled by the concerned programmer. By applying various restrictions on the applied programming style, MapReduce performs several moderated functions such fault tolerance, locality optimization, load balancing as well as massive parallelization. Intermediate k/v pairs are generated by the Map, and then fed o the reduce workers by the use of the incorporated file system. The data received by the reduce workers is then merged using the same key, to produce multiple output file to the concerned user (Dean & Ghemawat, 2008). Additionally, the programmer is only required to master and write the codes regarding the easy to understand functionality
Risk Assessment and Management in Construction Industries
Get PDFThis paper aims to deal with construction industry risks. It deals with all type of construction industry types such as small house, malls, and huge buildings. Many accidents can be happened in the sites, so it is important that appropriate measure are taken into consideration to help in curbing the menace to improve safety in the working environment both within and the surrounding. The researchers concluded that the risks which can be avoided should be avoided to reduce the number of accidents that happen in the working environment. Rules and regulations that are clear and well understood by the workers are important in eliminating or reducing hazards experienced within the working environment. With adequate training and strict policies put in place, it is possible to deal with the risks at the workplace. The management should take responsibility and consider it as a necessity to introduce adequate measures and policies that can govern all activities undertaken in construction sites
Exploring the Therapeutic Effects of Bisphenol-A on Prostate Cancer
Get PDFProstate cancer (PCa) is the most common cancer in American men and its metastatic spread is responsible for its high mortality rates. Since PCa cells evolve against various treatment approaches, there is an urgent need for new treatment solutions. Bisphenol A (BPA) is an industrial chemical with structural similarities to androgens and estrogens and is postulated to interfere with androgen receptor (AR) and estrogen receptor function by competitive inhibition. Previous studies reported that low concentrations of BPA stimulate the proliferation of cancer cells expressing AR, whereas high concentrations of BPA unexpectedly inhibited the growth of those cells. This prompted the hypothesis that high concentrations of BPA might kill AR-positive, treatment-resistant PCa cells. In this study, the effect of high concentrations of BPA on AR-positive, Enzalutamide (a recent oral AR inhibitor)-resistant PCa cells were evaluated. At high concentrations, BPA was found to reduce cell growth by 90% and to trigger cell death. To explore the underlying molecular mechanisms, the expression and activity of AR were examined; both were decreased upon treatment of high BPA concentrations. In summary, high concentrations of BPA can inhibit cell growth and stimulate cell death of Enzalutamide-resistant PCa by targeting AR signaling. These findings may pave the road for novel approaches for treatment-resistant PCa
Mechanical Properties of Polyester Reinforced with Powdered Shells of the Snail Composites
Get PDFComposites of unsaturated polyester has been found to be useful virtually in all aspects of life. This project work was carried out to investigate the properties of particulate snail shell reinforced unsaturated polyester matrix composites. The snail shell particulate was calcinated, pulverized and sieved to -75 µm. The composites were developed using predetermined varying filler content. For each of the developed composites, the mixture was missed thoroughly until homogenous paste was obtained and poured into the mould and was allowed to cure before removing from the mould. The developed composites were then characterized by flexural and wear tests. The result showed that better results can be obtained within 5-20 wt% reinforcement addition since 25-30 wt% tends to give weak results in all. The result also proved that properties of the developed composites were highly enhanced compared to the unreinforced polyester material. The optimum properties were observed at 20% filler content. 
Solving Vehicle Routing Problem using Ant Colony Optimisation (ACO) Algorithm
Get PDFEngineering field usually requires having the best design for an optimum performance, thus optimization plays an important part in this field. The vehicle routing problem (VRP) has been an important problem in the field of distribution and logistics since at least the early 1960s. Hence, this study was about the application of ant colony optimization (ACO) algorithm to solve vehicle routing problem (VRP). Firstly, this study constructed the model of the problem to be solved through this research. The study was then focused on the Ant Colony Optimization (ACO). The objective function of the algorithm was studied and applied to VRP. The effectiveness of the algorithm was increased with the minimization of stopping criteria. The control parameters were studied to find the best value for each control parameter. After the control parameters were identified, the evaluation of the performance of ACO on VRP was made. The good performance of the algorithm reflected on the importance of its parameters, which were number of ants (nAnt), alpha (α), beta (β) and rho (ρ). Alpha represents the relative importance of trail, beta represents the importance of visibility and rho represents the parameter governing pheromone decay. The route results of different iterations were compared and analyzed the performance of the algorithm. The best set of control parameters obtained is with 20 ants, α = 1, β = 1 and ρ = 0.05. The average cost and standard deviation from the 20 runtimes with best set of control parameters were also evaluated, with 1057.839 km and 25.913 km respectively. Last but not least, a conclusion is made to summarize the achievement of the study
Growth Inhibition of Various Pathogenic Microorganisms Using Effective Microorganisms (EM)
Get PDFIn recent years, researchers focus on treatment of wastewater using low-cost treatment processes. Several studies showed that using effective microorganisms (EM) is a promising technology in the treatment of wastewater. However, the treatment mechanism using EM is not clear. In this study, the effect of EM towards several pathogenic microorganisms was investigated to examine its ability to inhibit their growth. The results showed that EM has the ability to inhibit the growth of pathogenic bacteria such as Escherichia coli, Pseudomonas aeruginosa, and Streptococcus faecalis; while no effect was detected on fungi that were examined.