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
Challenges of the Automobile Industry and Performance Analysis of an Assembly Plant in Nigeria
Paul Tamaragaibi Elijah, Nnamdi Chukwuemeka Ezeife
Page Numbers : 337-342
DOI : 10.36348/sjet.2020.v05i09.003
This study looked at the challenges faced by the automobile industry in Nigeria. The study also carried out automotive assembly process performance analysis for improved productivity. The analysis was performed at an automobile plant in Nigeria. The overall number of material handling systems and kinds of material handling systems were determined. The number of automated, manual and semi-automated equipment’s used was also determined. The number of workers on the line were also determined. The labour productivity, hours per unit, organizational hour per unit, and TEEP were also determined. From the analysis, the average production volume of automobile assembly line is 256 units for every month and its average on time delivery is 80.6 %. Nine hours was the time period the workers spent every day. 163 personnel with various skill sets were involved in the plant. The size of the plant is about 550,000m2 and it housed offices, workstations, equipment’s and operators. The average hour per unit is 155 hours. The average organizational hour per unit is 148 hours i.e. it takes 148 hours to assemble the car. The total effective equipment performance is 61.89%. This result shows that the plant is still under-utilized. The study recommends that more workers should be employed and predictive maintenance practises should be used to avoid collapse of machines in the assembly plant.
Original Research Article
Sept. 13, 2020
Process Standardization of Kamsa: a Smoked Dried Meat Product, Using Sensory Evaluation Method
Yusuf H. L, Igwegbe A. O, Idakwo P. Y, Garba, U
Page Numbers : 330-336
DOI : 10.36348/sjet.2020.v05i09.002
This study was aimed at establishing a standardized method for the processing of a traditional product, Kamsa, with consistent qualities, for prospective industrial or commercial purposes. Three samples (K1, K2, and K3) from fresh skeletal muscles of cow were prepared using the most common traditional methods of kamsa preparation. For the purpose of comparison, the fourth sample (K4) was prepared from the same meat source but, by modification of established standard methods of food dehydration and preservation. Process standardization was carried out through sensory evaluation by 15 panelists on a nine point hedonic scoring system, with 9 and 1 being extremely liked and extremely disliked, respectively. Results indicated that, among all the kamsa samples (K1 to K4) standardized, samples K4 and K1 scored the highest means in all the parameters evaluated, but varied significantly (P ≤ 0.05) in their aroma. A t-test comparison was further carried out between K1 and K4 samples, and the results also showed that K4 was the most preferred sample. It was concluded that the preparation method used for K4 sample could be adopted as a standard method for industrial or commercial preparation of high quality and safe kamsa.
Original Research Article
Sept. 9, 2020
Low Cost Community Housing Program: A case of Janata awash, Rupandehi Nepal
Er. Sandeep Parajuli, Dr. Anjay Kumar Mishra
Page Numbers : 316-329
DOI : 10.36348/sjet.2020.v05i09.001
Housing is constitutional right and human basic need. So, the objective of the paper to assess the status of housing need fulfilment for low income marginalized group. Questionnaire survey and interview were conducted with the selected, non selected construction completed and construction not started yet applicants of Program of the study area to assess the current housing scenario and their perception about the fulfilment of the housing need. Likewise the questionnaire survey and interview were carried out with planners, implementers and concerned organisations to find out the most important factors influencing the housing need of the low income groups (dalits and poor musalmans). Over 65% of the people of the low income groups (dalits and poor musalmans) in the study area were found very poor housing condition and uneducated. The improvement in the education level brings awareness, better employment opportunity and consequently improves their economic status and housing condition. The major factors of housing need are as: Neighborhood and community attachment, Place of living currently, Geographical location, Easy access to the family’s occupation, Family’s income respectively to importance.
Original Research Article
Aug. 30, 2020
Properties Evaluation of Injection Moulded Gas and Water Atomised 316L Stainless Steel Powder
Mohd Afian Omar, Istikamah Subuki
Page Numbers : 310-315
DOI : 10.36348/sjet.2020.v05i08.003
This paper investigate the characteristics important to injection moulding via rheological behaviour, injection moulding, debinding and sintering process of water and gas atomised 316L stainless steel powder using new locally based binder system; palm stearin. The critical powder loading for injection moulding were 65vol% and 62vol% for gas and water atomised respectively. The gas atomised powder proves easier to mold because of a low interparticle friction and high packing density. In contrast, the water atomised powder has high viscosity of the injection moulding feedstock, high interparticle friction and a low packing density that interfere with injection moulding. Binder debinding was performed using solvent and thermal method. After debinding the samples were sintered at 1360oC using a high temperature vacuum furnace. Results indicate that water atomised powder could be sintered to 95% of theoretical density, while gas atomised powders could be sintered to near full density.
Original Research Article
Aug. 29, 2020
Study on the Physico-Mechanical Properties of Okra Fibre at Different Harvesting Time
Md. Anisur Rahman Dayan, Md. Mahmudul Habib, Mohammad Abdullah Kaysar, Md. Moslem Uddin
Page Numbers : 304-309
DOI : 10.36348/sjet.2020.v05i08.002
Natural fibers obtained from plants or animals. Okra fiber is one of the source of natural fibres, which comes from okra plant (Abelmoschus esculentus). Okra fiber is eco-friendly, biodegradable, available, and cost effective materials. The properties of okra fiber are changed with different harvesting time. This work studied to determine the physico-mechanical and thermal properties using Stelometer, Fibre fineness analysis system, Photovolt meter, Fourier Transform Infrared Spectroscopy (FTIR), and Thermogravimetric analysis (TGA) at different age of okra fibres. The results showed that strength (gm/tex) 30.78, fineness (μm) 40.50, whiteness or color (%) 48.40 of four-month okra fiber and the six-month okra fiber strength (gm/tex) 31.98, fineness (μm) 56.12, whiteness or color (%) 43.56. FTIR assessment of the okra fiber reveals the presence of functional group. Thermally stability of six-month sample is good compare to the four-month okra fiber. The okra bast fibre is an important unconventional source of fibres, which could be, characterized for their use in blending yarn, reinforcing materials and diversified products.
Aug. 29, 2020
Study of Device State Recognition Algorithm Based on Improved YOLOv3
Xiansong Bao, Gu Hao, Zhang Fan
Page Numbers : 300-303
DOI : 10.36348/sjet.2020.v05i08.001
In view of the timeliness and accuracy of traditional state recognition algorithms, this paper proposes an improvement measure for foreground segmentation and target recognition. Foreground segmentation is to model the background information in the scene before recognizing the image, to separate the foreground target from the scene, at the same time to reduce the impact of noise, shadow and other environmental changes as much as possible, and then segment the target through a sliding window strategy. Target recognition is improved with reference to the PRN network and anchorboxes mechanism, and a more advanced clustering k-means++ algorithm is applied. The method has low error rate, high signal-to-noise ratio and fast processing speed. Finally, the proposed improved algorithm is applied to device status recognition, which shows the advanced nature of the algorithm.
July 14, 2020
Cloud Computing Adoption at Higher Education Institutions in the Republic of Sudan
Hussien Abdulatif, Mosaab Nouraldein Mohammed Hamad
Page Numbers : 295-299
DOI : 10.36348/sjet.2020.v05i07.002
Education today is becoming completely associated with the Information and Communication Technology (ICT) on the content delivery, communication and collaboration. Cloud computing simply involves the provision of information technology (IT) solutions as a service rather than as a product through the Internet. Sudan just like any other developing countries is yet to fully adopt cloud based systems according to trust and security challenges. The motive of this paper is to identify the extent and characteristics of Cloud Computing adoption in Sudanese universities and higher education institutions. The study assessed Cloud Computing uses in terms of actual use of cloud services and applications, ability of transition from conventional systems to cloud computing technology, and efficiency of the technical staff of IT to deal with modern technologies. The adoption of the Cloud Computing services in higher education in Sudan was relatively low. The results showed that here is a significant relationship between the adoption of Cloud Computing in Sudan and the four independent variables; (Basic knowledge of cloud computing services and applications, the actual use of cloud computing technology, ability of transition from conventional systems to Cloud Computing Technology and skills of IT human resources) at level of significance α= 0.05.