Saudi Journal of Engineering and Technology (SJEAT)
Saudi J. Eng. Technol.
Prof. Ahmed Farouk Abdel Gawad
Scholars Middle East Publisher
Country of Origin:
“Saudi Journal of Engineering and Technology” ISSN 2415-6264 (Online), ISSN 2415-6272 (Print) is a Monthly, peer reviewed, open access, Journal published by “Scholars Middle East Publishers”, Dubai, UAE. This Journal publishes Original Research Articles, Review, Short Communications, and Case Studies within the whole field of Engineering and Technology.
Scope of Journal
The scopes of “Saudi Journal of Engineering and Technology” includes all the areas of research activities in all fields of Engineering and Technology Like Mechanical Engineering, Computer Engineering, Software Engineering, Civil Engineering, Construction Engineering, Structural Engineering, Electrical Engineering, Electromechanical Engineering, Telecommunication Engineering, Communication Engineering, Chemical Engineering, Food Engineering, Biological and Bio System Engineering, Agriculture Engineering, Geological Engineering, Bio mechanical & Biomedical Engineering, Environment Engineering, Polution Engineering, Manufacturing Technology, Nanotechnology, Nuclear Engineering, Aeronautical Engineering, Ocean Engineering, Oil & Petroleum Engineering , Biotechnology, Food Engineering, Material Science, Earth Science, Engineering Chemistry, Engineering Mathematics, Engineering Physics and others.
Prof. Dr. Ahmed Farouk Abdel Gawad
Professor of Computational Fluid Mechanics, Mechanical Power Engineering Dept., Faculty of Engineering, Zagazig Univ., Zagazig 44519, Egypt
Dr. S.R. Boselin Prabhu
Department of ECE, VSB College of Engineering Technical Campus, Coimbatore, Tamilnadu, India.
Bushra Mohamed Elamin Elnaim
Assistant Professor, Head Dept. of Computer Science and Information, College of Science & Human Studies in Sulail, Prince Sattam Ibn Abdulaziz University, Saudi Arabia
Magdy Shayboub Ali Mahmoud
Assistant Professor of Computer Science, Faculty of Computers &Informatics, Suez Canal University, Ismailia,Egypt
Dr. Rabiul Ahasan
Professor, Department of Industrial Engineeringm, King Abdulaziz University, Jeddah, Saudi Arabia
Dr. Garlapati Vijay Kumar
Dept. of Biotechnology and Bioinformatics, Jaypee University of Information Technology, Waknaghat post, Solan Dt, HP, India
Dr. Manickachezian. R
Associate Professor, Department of Computer Science, N.G.M College, Coimbatore), Pollachi, Tamil Nadu, India
Mehsin Jabel Atteya
Department of Mathematics, College of Education, Al-Mustansiriyah University, Iraq.
Dr Adamu M
Department of Construction and Surveying, School of Engineering and Built Environment, Glasgow Caledonian University, UK
Dr. Zied DRISS
Associate Professor at National School of Engineers of Sfax(ENIS), University of Sfax (US), B.P. 1173, Road Soukra, Sfax, Tunisia.
Rajamahanti Surya Kiran
HOD, Department Of Mechanical Engineering, SVP Engineering College, Visakhapatnam, Andhra Pradesh, India
Mohd Hafiz Jali
Senior Lecturer, Faculty of Electrical Engineering, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, Durian Tunggal,Melaka, Malaysia
Rana Khudhair Abbas Ahmed
Alrafidain University College Computer Techniques Engineering Department, Baghdad, Iraq
S. M. Asif Hossain
Dept. of Electronics & Communication Engineering, Khulna University of Engineering and Technology(KUET), Bangladesh
Sr. lecturer in Electronics engineering, D.E & F.O Engineering Dept, Birla T.T.I. Pilani, Rajasthan
Asst. Professor, CBS College of Engineering and Management, Agra, Uttar Pradesh, India
Petroleum Engineering College, China University of Petroleum, China
Dr. Balkeshwar Singh
Professor, Department of Mechanical Design & Manufacturing Engineering, School of Mechanical, Chemical & Materials Engineering, Adama Science & Technology University, Adama, Ethiopia
Dr. Asit Kumar Parida
Post Doctoral Fellow, Mechanical Engineering Department, Indian Institute of Technology, Hauz Khas, New Delhi,
Doctor of Physics, Nanotechnology Research Alliance, University of larestan, Iran
Bells University of Technology, KM 9, Idiroko road, Ota, Ogun State, Nigeria
Visiting Scientist, SQC & OR Unit, Indian Statistical Institute, 203 Barrackpore Trunk Road, Kolkata 700 108 (West Bengal), India
Mr. Avijit Mallik
Dept. of Mechanical Engineering, Rajshahi University of Engineering and Technology, Bangladesh
Dr. Davood GHADERI
Department of Electrical and Electronic Engineering. Erzurum, Ataturk University, Turkey
Dr. D. Vijayan
Assistant Professor, Department of Mechanical Engineering, Sri Chandrasekharendra Saraswathi Viswa Mahavidyalaya University, Kanchipuram, Tamilnadu , India
Dr. Christo Ananth
Department of ECE, Francis Xavier Engineering College, Tirunelveli, Tamilnadu, India
Prof. Dr. Mouayad A. Sahib
Media Technology Engineering (MTE), University of Information Technology and Communications (UOITC), Baghdad, Iraq
Comparative Study of Some Supervised Machine Learning Algorithms for Information Retrieval
Kissinger Sunday, Muhammad Bello Aliyu
Page Numbers : 106-113
DOI : 10.36348/sjet.2020.v05i03.003
The volume and quality of online data has increased tremendously. Retrieval of such data relies so much on efficient methods. In recent times, information retrieval looks to the intelligence-based and inductive learning methods, such as genetic algorithm, neural networks and machine learning. Researchers however, have leverage on these newer techniques in order to enhance the retrieval capabilities and information processing of current information storage and retrieval systems. These methods provide various degrees of accuracy. But how effective are these methods and which of them is better suited for the information retrieval task? This paper investigates the efficiency of the selected algorithms: Artificial Neural Network, Support vector machine, and Genetic Algorithm, on designing the model for efficient and intelligent information retrieval. The selected algorithms were critically studied in line with the available matching models for information retrieval. Models like the Vector space model, Binary model, probabilistic models, Inverted Index, Latent semantic Analysis and the Latent Semantic Index models were respectively examined. The result from the experimentation from the respective algorithms shows that the neural network, in combination with Genetic algorithm or alone, performs better. However, it takes more time to execute.
Original Research Article
March 30, 2020
Estimating the Thickness of Sedimentation within Lower Sokoto Basin, Nigeria, Using Both Spectral Depth Determination and Source Parameter Imaging
Kamba A.H, Oladayo A.A, Fakai A.A
Page Numbers : 120-127
DOI : 10.36348/sjet.2020.v05i03.005
The Total Aeromagnetic Data covering the study area was subjected to Spectral Depth Analysis and Source Parameter Imaging (SPI).The entire area was divided into nine sections. Spectral Depth Analysis was run for each of these nine sections. The result from Spectral Depth Analysis shows that a maximum depth of 3.174km was obtained around Konkoso in Sheet number 117 of the study area. Minimum depth estimates of 0.586 km were observed around the basement regions. Result obtained from the Source Parameter Imaging (SPI) method has its highest sedimentary thickness of about 2.4 km to 3 km in areas around Kaoje towards the central part up to around Konkoso in the southern part. The shallow sedimentary thickness was found predominantly around Shanga in the northeastern (NE) part, up to around Yelwa in the southeastern (SE) part. Geophysical implication of the result to oil and gas exploration in the area is briefly discussed.
Original Research Article
March 30, 2020
Factors and Effect of Poor Background on the Students Academic Performance in Physics at Senior Secondary School in Birnin Kebbi Metropolis
Kamba A.H, Oladayo A.A, Fakai A.A
Page Numbers : 114-119
DOI : 10.36348/sjet.2020.v05i03.004
The study investigated the effect of poor academic background on students’ performance in physics in Birnin Kebbi Metropolis. The study adopted descriptive survey design to collect data on effect of poor background on students’ performance in physics in Birnin Kebbi Metropolis. From the population of 5,285 students’ and 34 teachers’, using stratified sampling; six (6) schools were selected in three strata that is mixed schools, Boys schools and Girls schools. Further, in each sampled school only 30 (ss2) students’ were involved in the study and 2 physics teachers’. Data were collected using questionnaire for the physics teachers and (ss2) students’ in the sampled schools. The findings were summarized and reported using percentage and frequency distribution tables. The study found and concluded that family background, teachers’ attitude towards work, methods of teaching and gender affect students’ performance in physics in senior secondary school in Birnin Kebbi Metropolis. Finally, the study recommended that policy makers/ministry of Education should ensure proffer curriculum implementation by physics teachers and increase enrolment in physics.
Original Research Article
March 18, 2020
Effect of Incubation Temperature Climbing Perch (Anabas testudineus Bloch 1792) Eggs on Hatching Rate and Sex Ratio
Muhammad Ali Zulfikar, Muhammad, Slamat
Page Numbers : 101-105
DOI : 10.36348/sjet.2020.v05i03.002
The purpose of this study was to analyze the role of the incubation temperature of papuyu fish eggs (Anabas testudinius Bloch 1792) to obtain the ratio of female fish seeds. This research was conducted for 3 months starting from March 2019 until May 2019, at the Wet Laboratory of Lambung Mangkurat University, South Kalimantan Province. Fertilized Climbing Perch eggs are incubated at 20oC, 22oC, 24oC, and 26oC at 12 incubators (small box) with a stocking density of 25 eggs during incubation are observed and calculated the hatchability of eggs after the larvae hatch then cooling down the incubator is stopped. This study uses a completely randomized design (CRD) with 4 treatments and 3 replications, so that it will produce 12 experimental units. The results of analysis of variance (ANOVA) hatchability ranging from 90.67 to 100% had no significant effect. This study shows that the incubation temperature of papuyu fish eggs gives an effect on the female genital ratio of papuyu with the highest sex ratio in treatment C (24oC) of 100% and the lowest in treatment D (26oC) of 65.61% .The DMRT test results show that the sex ratio treatment C with D was significantly different also treatment A with D was different while other treatments were not significantly different.
Original Research Article
March 7, 2020
Effect of Fish Pond Sludge Waste Materials on the Geotechnical Properties of Soils
Charles Kennedy, Ugo Kingsley, Gabriel Okonkwo Nnaji
Page Numbers : 94-100
DOI : 10.36348/sjet.2020.v05i03.001
The research work investigated the effect of leachate sludge waste materials from fish rearing pond on the geotechnical properties of soils from dumpsites. Results of investigations conducted on the control sites at 30m away from each dumpsite of bulk unit weight have incremental percentage values over control sites. Percentage (%) passing BS sieve #200 is higher in dumpsites over control with percentile value increase. Obtained results showed the presence of leachate material affects the physical properties of soil as percentages passing sieve #200 are higher in dumpsite materials. The consistency limits of the control sites of Liquid over plastic limits are summarized into the plastic index (LL-PL=PI), the obtained results indicated reductions values over dumpsites, this indicated that dumpsites leachate materials affected consistency limits of soils with higher values recorded in dumpsites. The entire results of grain size distribution showed that leachate percolation from waste materials affected the distribution properties of soil with dumpsites samples in dominants over control sites. Results indicated reductions in Unconfined compressive strength of control sites, these results showed that the presence of leachate materials has a great effect on soil properties of tested. The California bearing ration results of unsoaked and soaked of dumpsites have higher values over control sites. Results of California bearing ratio obtained showed that the presence of contaminants from waste dumpsites affected the geotechnical properties of tested soil with higher percentage values of dumpsites over control sites. The entire results showed that the presence of fish pond waste sludge has great negative effects on the geotechnical properties of soil.
Feb. 29, 2020
Recent Trends and Development of Heuristic Artificial Intelligence Approach in Mechanical System and Engineering Product Design
Ahmed J. Obaid, Shubham Sharma
Page Numbers : 86-93
DOI : 10.36348/sjet.2020.v05i02.008
The utility of Artificial Intelligence (AI) to design is mainly concerned with trying to make systems smarter through getting to know how to enable them to represent and control the real global understanding. It is likewise about contemplating studying how designers observe human intelligence to design, and with looking to make computer aids to design greater knowledgeable. Presently the principle topics inside the utility of Artificial Intelligence are to discover the formal illustration of the layout information, and additionally to expand strategies for reasoning with or applying this expertise. Computers have historically been capable of cope with the application of the legal guidelines of science, expressed in mathematical techniques. Artificial Intelligence (AI) mainly permits illustration of heuristic (or rule based) understanding this is less effortless or simple to explicit the use of mathematical methods. This, a part of artificial intelligence is in particular concerned with the development of such representations is called professional structures or more typically information based totally systems. This paper covers the various steps and ideas involved in adding synthetic Intelligence to the layout of mechanical structures. In this paper, a broad audit with respect to the uses of the Artificial Intelligence, in conjunction with its connection between the mechanical building for the method of mechanical imperfections identification and design layout configuration is proposed. This paper accommodates the précis or synopsis related to the precise utilizations of Artificial Intelligence in the field of mechanical Eng. Several applications, like errors identification, Analytic indicative Framework machine, mechanical shape and structure investigation, and mechanical layout plan are notably inspected. This study uncovers that the Artificial Intelligence based smart system is broadly utilized generally in the total mechanical Engineering designing area. This paper likewise presumes that the Mechanical Engineering and designing field can be effectively combined with different other Artificial Intelligence based innovation era to make it progressively successful to improve in the mechanical framework.
Original Research Article
Feb. 29, 2020
Index and Compaction Properties of Oil Contaminated Clay Soils in Niger - Delta Region of Nigeria
A. N. Nwachukwu, B. C. Okoro, J. C. Osuagwu, N. L. Nwakwasi, I. C. Onyechere
Page Numbers : 81-85
DOI : 10.36348/sjet.2020.v05i02.007
Oil Exploration in Nigeria has contributed greatly towards pollution of the environment especially in the Niger Delta region of the country where most of the oil wells are located. In the process of their operations which include; drilling, refining transportation etc., oil spillage occurs which pollutes land, air and water bodies. This results to the release of dangerous gases into the air. Properties of soils in the contaminated areas are highly affected leading to poor agricultural produce and alteration of geotechnical properties of soils which may adversely affect engineering construction works. This research work examines the effect of crude oil pollution on the geotechnical properties of clay soil. The clay soil was obtained from Engenni Ahoada L.G.A of Rivers, Nigeria. Soil samples were collected at a depth of approximately 2 meters below the ground surface and artificially polluted with crude oil in the ratio of 0%, 2%, 4%, 6%, 8%, 10%, 12%, and 14% of the dry weight of the soil. The samples were further subjected to various laboratory soil tests to determine their geotechnical properties. The results shows LL, PL, and PI increased from 31%, 20% and 11% at 0% contamination to 56%, 41% and 11% at 14%contamination. SPGR, BD, and MDD decreased from 2.48, 1.33g/cm3 and 1.74g/cm3 at 0% contamination to 1.14, 0.97g/cm3 and 1.35g/cm3 at 14% contamination. OMC increased from 15% at 0% contamination to 16.5% at 14% contamination. Thus, crude oil pollution affects the geotechnical properties of soil greatly.