ARPN Journal of Engineering and Applied Sciences              ISSN 1819-6608 (Online)
 

 
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ARPN Journal of Engineering and Applied Sciences                               March 2022  |  Vol. 17  No. 5
   
Title: Alkaline silicate compositions of porous structure
Author (s): Miryuk O. A.
Abstract:

The article presents the results of studies of a porous heat insulating alkaline silicate compositions based on technogenic raw materials. The influence of technogenic factors on aeration of compositions made of liquid glass and technogenic filler has been detected. Aeration of the compositions has been evaluated by the bulk and stability of foam, structure and density of foamed concrete. The influence of type and concentration of foaming agent, filler content, agitation mode of raw stuff on formation of cellular structure has been studied. The structure of aerated materials has been analyzed. Reasonable ratios of solid to liquid components in molding blend have been determined. Additional aeration of cellular structure by means of addition of aerated technogenic filler and gas forming agent, hydrogen peroxide, has been demonstrated. The results of studies of a porous aggregate obtained using liquid glass and technogenic materials (glass cullet, magnetite ore dressing waste, substandard rocks) are presented. Feasibility of a multicomponent feed mixture for pyroplastic swelling of granules is substantiated. Optimization of raw mix composition provided the possibility of combining various formation mechanisms of porous granules.

   

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Title: Experimental study of Nano-Lubricant on temperature reduction and distribution during machining of Al-Si-Mg composite using deform 3D finite element method
Author (s): I. P. Okokpujie, J. E. Sinebe, E. T. Akinlabi, L. K. Tartibu, A. O. M. Adeoye and C. T. Akujieze
Abstract:

The temperature reduction process is a vital part of the manufacturing process. High-temperature generation during machining operation leads to thermal deformation on the developed component, affecting the operation life span of the component. The computer numerical machining process is one of the recent technology employed for the automatic manufacturing process. These operations are plagued with temperature during the machining of transforming hard raw materials to replace mechanical parts. Therefore, cutting fluid for lubrication and as cooling agents has become a necessary part of this process to reduce cost and manufacturing time. Thus, this study investigated the effect of mineral oil-based-Multi-walled carbon nanofluid (MWCNTs) compared to pure mineral oil in the turning of aluminum-silicon magnesium metal matrix composite (AlSiMg) on temperature reduction and distribution. The nanofluid was prepared with 0.4g of MWCNT to 1 liter of mineral oil. The study employed the energy dispersive spectrometer to obtain the chemical composition of the developed nanofluid. The turning experiment was done using Taguchi L9 orthogonal array to obtain the best possible results. Furthermore, Finite element software DEFORM 3D v11.0 using a lagrangian incremental approach was employed to simulate chip formation and temperature distribution on the workpiece and to study the effects of the machining parameters on the temperature distribution. The experiment results showed a significant reduction of 11.9% in temperature when machining with nanofluid compared to pure mineral oil. The simulation results showed that as the cutting speed and feed rate increase, the temperature increases. The minimum temperature via the DEFORM 3D Finite Element Model simulation was achieved at spindle speed 870 rpm, feed rate 2 mm/rev, and depth-of-cut 1 mm. In conclusion, the study recommends that the manufacturing industry employ the optimized machining parameters during the turning of AlSiMg metal matrix composite for a sustainable machining process.

   

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Title: Estimation of rock fragmentation using electronic and shock tube detonators in limestone mine blasting
Author (s): R. K. Das and P. Y. Dhekne
Abstract:

Fragmentation has a considerable effect on the efficiency of the loading and transportation of the ore. If the fragmentation is coarse, then fragments are further required to be fragmented which involves extra time and cost. Research has proved that the rock fragmentation depends upon the delays introduced in a blast. Normally, shock tube detonators are used in Indian limestone mine blasting for providing the delay. Electronic detonators are also used in the Indian limestone mining industry, but their use is rather scanty. A little work in limestone mining is reported as regards to the assessment of the rock fragmentation distribution resulting from the blasts initiated using electronic detonators. In the present work, seven blasts have been monitored in a limestone mine to assess the effect of electronic and shock tube detonators on rock fragmentation. The blasts have been conducted in similar rockmass and with drill and blast parameters except the type of the detonators. Wipfrag image-analysis software has been used for the estimation of rock fragmentation in the muckpile. Results indicate that the blasts with electronic detonators yielded finer fragmentation than those with shock tube detonators. A reduction in oversize fragmentation in the blasts with electronic detonators can be attributed to an increased crack density, timely interference of the stress waves, and entry of gaseous products of blasting in the cracks generated in the rockmass. The result is corroborated by a reduction in the rock breaker operation time. The results indicate that the electronic detonators may pose a technical alternative to shock tube detonators in the investigated rockmass.

   

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Title: Efficient, simple and secure encryption decryption algorithm using color image as a private key
Author (s): Adnan Manasreh, Mohammad S. Khrisat, Hatim Ghazi Zaini and Ziad A. Alqadi
Abstract:

Cryptography is the art of destroying secret data making it unintelligible and illegible, in this paper research a method based on the use of digital images will be introduces. The method will use a digital color image to extract all necessary working and sup keys. The method will be implemented to show how it increases the cryptography process efficiency. The proposed method will be compared with other popular method such as DES, AES, and LED methods, it will be shown how the introduced method will decrease both the encryption and decryption times eliminating some important tasks in cryptography process like key generation and key scheduling.

   

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Title: Grasshopper optimization algorithm in optical filter design for transmission applications
Author (s): L. Jegan Antony Marcilin and N. M. Nandhitha
Abstract:

This research concentrates on developing the optical band filter based on the grasshopper optimization algorithm (GOA) for the transmission applications. The optimal design is obtained by evaluating the various parameters, like thickness, refractive index and the influence of selecting optical parameters, which in turn boost the transmission potential. At first, the alternative multi-layer stack with 32, 30 and 28 layers are designed by varying the thickness and maintaining the constant low and high refractive indices integration of the dielectric substances. The algorithm is used to obtain the best feasible solution by optimizing the thickness of every layer. The proposed method is implemented using the MATLAB tool and the experimental outcome reveals the effectiveness of the proposed methodology.

   

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Title: Bi-Objective assignment problem with a minor minimum method and generalized interval arithmetic
Author (s): N. Mathavan and G. Ramesh
Abstract:

The assignment problem is a well-known topic that is frequently used in engineering and management science difficulties. In this paper we presented a minor minimum method with generalized interval arithmetic (MMMWGIA) for Bi-Objective Interval Assignment Problem (BOIAP). We present a new algorithm for solving interval assignment problems. This method provides the efficient/non - efficient solution and best compremise solution than minor minimum method (MMM) for BOIAP. This technique helps us decision makers working with BOIAP. A numerical example is provided to illustrate the BOIAP.

   

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Title: Improvement of a new design for the lighting system (AFS) automobile using matrices to led and digital technology (PWM)
Author (s): Hamad Dahou, Amal Satif, Abdelkarim Zemmouri, Mezouari Abdelkader, Rachid Elgouri and Laamari Hlou
Abstract:

AFS (Adaptive Front-Lighting System) automatic lighting system is a new technique added to modern vehicles. It helps to improve front lighting, which contributes to the improvement of motor vehicle safety. Given the importance of this system, a new architecture of this system is propose in this article. This architecture replaces the old architecture, which is base on the lighting system of conventional headlamps by a new lighting system based on LEDs. The new system features are efficient, intelligent, economical in terms of energy consumption, and offers total and continuous coverage of the lighting level on the entire road during driving.

   

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Title: Behavioral based kernel neutrosophic clustering for heterogeneous cross project defect prediction
Author (s): N. Kalaivani and R. Beena
Abstract:

Software defect prediction is very essential in the field of software development and maintenance which is highly demanded quality of service. Heterogeneous defect prediction is the most appropriate method for real time datasets. The heterogeneous metrics of cross projects are used for predicting in many existing models, but the presence of outlier and noisy datasets are not considered as an important factor thus the standard prediction models face challenges in producing more accurate results. This paper focuses on handling the impreciseness and vagueness in treating noisy and outliers in software defect prediction dataset. This is accomplished by adapting bipartite ranking based feature ranking, which converts the target attribute size same as source attribute size and the feature selection by selecting the top attributes. The noisy and outlier is handled by kernel neutrosophic clustering by introducing the degree of truthiness, indeterminacy and falsity. Finally, Grey Wolf Optimization enhances the heterogeneous cross project prediction process by selecting the significant centroids in kernel neutrosophic clustering unlabeled instances. This work used six different heterogeneous datasets for software defect prediction and the results explores that the proposed model performs better and increase the prediction rate prominently.

   

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Title: Investigation of the energy output of parabolic trough racks based on using different rhomboid layout
Author (s): Saad S. Alrwashdeh
Abstract:

Energy problems are the most prominent problems in the world these days. Hence, the process of continuous improvement of energy production technology and its development has become the goal of all countries in the world, including Jordan. This study is based on verifying the energy production quantities of concentrated solar energy systems - parabolic trough racks using different arrangement patterns of the solar receiver fields. Where it was found through this study that the arrangement patterns of the fields have an impact on the quantities of energy produced from the concentrated solar power plants - parabolic trough racks.

   

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Title: Application of fuzzy logic for the guidance of computer science students
Author (s): Tarik Bourahi, Azouazi Mohamed and Abdessamad Belangour
Abstract:

This research aims to better orient computer science students for the choice of the valid option in computer science, using the theory of fuzzy logic. This aims to overcome the problem of ambiguity and uncertainty. First we will present the curriculum of computer scientists after obtaining the baccalaureate and the criteria used which are presence, revision and concentration. Second we will present the theory of fuzzy logic and its stages then we have established the fuzzification of the cited criteria, then the fuzzy rules and after that we have performed the defuzzification. Finally, in order to guide the student specializing in computer science in their best option choices, the three criteria chosen must be excellent and high.

   

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Title: Detection of Alzheimer’s disease using MRI images based on SVM classifier
Author (s): P. M. K. Prasad and Y. Raghavender Rao
Abstract:

In the present scenario, most of the people are suffering from memory loss which leads to the cause of Alzheimer’s disease. It slowly destroys the brain cells resulting in memory loss affects thinking, language skills and behavioral changes. As the age progresses, people are affected with this disease. So, it is required to detect at an initial stage, so that proper treatment can be given to the patient. There are various methods such as mini mental state examination, HOG and SURF, regional arthopy are used to detect Alzheimer’s. But these methods are not reliable. So proposed method effectively detects Alzheimer’s disease. This method consists of four steps that is, preprocessing, segmentation, feature extraction and classification. This method extracts various textual features using GLCM. SVM classifier is used to classify these features and it is more superior compared to other classifiers. The proposed SVM classifier based Alzheimer’s detection is more superior when compared to the other methods.

   

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Title: Stability of heavy vehicles: Influence of the characteristics of the road
Author (s): Gonzalo Moreno Contreras, Rafael Bolívar León and Bladimir Ramón Valencia
Abstract:

The study on the stability of vehicles when they make curves or evasive maneuvers allows us to identify how prone a vehicle is to have a rollover accident; taking this aspect into account, many studies identify the influence of the characteristics of the vehicle and the road on the calculation of the factor called Static Rollover Threshold (SRT); however, this factor depends largely on the location of the vehicle's center of gravity and the subsequent load distribution, in this sense, the load distribution can be affected by road conditions, such as are the lateral and longitudinal inclinations of this. Therefore, in this article, a bibliographic review of the main formulas developed to determine the SRT factor with the influence of the road is carried out, and a case study is developed to determine the influence of road in the calculation of the factor.

   

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