Engineering Commons^™

Using Sustainable Technique To Recycle Waste Paper In Academic Institutions, Mustafa M. Mansour

Al-Bahir Journal for Engineering and Pure Sciences

It has been clearly demonstrated that it would be feasible to consider recycling paper in an academic institution. This can be achieved through combining specific waste paper baskets, a pulping machine and power supplied by a renewable energy source, with an already established local paper making company. The paper making company would be able to gain a subsidy from the government which pays them to actually recycle paper, to counteract the cost of the pulped paper which is 30% more expensive than raw wood pulp. The academic institution would save money on waste disposal and decrease its carbon footprint by …

Hydrological Model Of The Diyala River Watershed In Iraq Using Soil Water Assessment Tool, Ahmed Sagban Khudier, Ahmed Naseh Ahmed Hamdan

Al-Bahir Journal for Engineering and Pure Sciences

The motivation of the present study is to study and address the limitations imposed on hydrological models and the spatial and temporal distribution of streamflow in the Watershed Diyala River (WDR) from January 1996 to April 2023, which has an area of 25652 km2, which is considered an important source of water for central and southern Iraq, to enable decision-makers to make a future management plan for streamflow. To achieve this motivation, the SWAT model was used and fed by input data such as a Digital elevation model with a 30 m resolution, a soil map, the land use and …

Parallel Algorithm For Testing The Singularity Of An N-Th Order Matrix, Ehab Alasadi

Al-Bahir Journal for Engineering and Pure Sciences

Analyze the possibilities of implementing a parallel algorithm to test the singularity of the N-th order matrix. Design and implement in ( C/C++) a solution based on sending messages between nodes using the PVM system library. Distribute the load among the nodes such that the computation time is as small as possible. Find out how the execution time and calculation acceleration depend on the number of nodes and the size of the problem (indicate the table and graphs). Based on the results, estimate the communication latency, for what size the task is (well) scalable on the given architecture, and what …

Comparative Investigations On Microextraction And Conventional Air Sampling Techniques: Challenges And Future Directions, Firoz Ahmed, Mehedi Hasan Roni, Ashiqur Rahman, Sayed M A Salam

Al-Bahir Journal for Engineering and Pure Sciences

Microextraction technique (e.g., solid phase microextraction, thin film microextraction, in-tube extraction) brings a revolutionary change in air sampling techniques over the recent few years. This advanced technique exhibits a high pollutant extraction rate, a low retention time, and a lower error margin compared to conventional air sampling techniques. The accuracy range of microextraction technique (MET) was recorded ~90-95% to isolate the volatile organic components, oxygenated and halogenated carbon particles from the air. However, the efficiency of MET increases additional >3-5% when employed by coupled with gas chromatography or gas chromatography-mass spectrometry. The conventional sampling techniques (e.g., bag sampling, grab sampling) …

Retracted: Fabrication And Characterization Of Wood Fiber Reinforced Polymer Composites, Firoz Ahmed, Omar Faroque, Saif Hasan, Khan Rajib Hossain, Rezaul Karim Sheikh

Al-Bahir Journal for Engineering and Pure Sciences

Wood-polymer composites (WPCs) combine the properties of wood and polymers. Creating composites involves adding plant or wood fibers as fillers to a polymer matrix. This study used mahogany and mango wood sawdust as reinforcement materials, while high-density polyethylene (HDPE) and polyvinyl chloride (PVC) were used as matrices. The investigated data in this study comprises four different (10, 20, 30, and 40) weight percentages (wt%) of mahogany and mango sawdust paired with corresponding wt% (90, 80, 70, and60) of HDPE and PVC matrices. The extrusion method produced composites with different amounts of sawdust and polymer matrices. Wood polymer composites were characterized …

Measurement Of Thermal Conductivity Of Epoxy Resin Reinforced With Different Weight Ratios Of Glass And Carbon Powders, Edrees Edaan Ghadeer

Al-Bahir Journal for Engineering and Pure Sciences

The effect of thermal conductivity was studied on the composites prepared before and after reinforcement with different weight fractions (10, 20, 30, 40, 50, 60 wt %), using a Disc Lee's device, and the dispersion of the filler was studied by morphological analysis of the complexes using scanning electron microscopy (SEM). The (SEM) of glass composite powders, showed a smooth surface with a chance of forming very few voids, clusters and blisters on the surface of the sample, which increased with the increase of the weight fractions of the filled powder. While the composites filled with carbon powders show smooth …

Sentiment Analysis Of Text And Emoji Data For Twitter Network, Paramita Dey, Soumya Dey

Al-Bahir Journal for Engineering and Pure Sciences

Twitter is a social media platform where users can post, read, and interact with 'tweets'. Third party like corporate organization can take advantage of this huge information by collecting data about their customers' opinions. The use of emoticons on social media and the emotions expressed through them are the subjects of this research paper. The purpose of this paper is to present a model for analyzing emotional responses to real-life Twitter data. The proposed model is based on supervised machine learning algorithms and data on has been collected through crawler “TWEEPY” for empirical analysis. Collected data is pre-processed, pruned and …

Classification Of Arabic Social Media Texts Based On A Deep Learning Multi-Tasks Model, Ali A. Jalil, Ahmed H. Aliwy

Al-Bahir Journal for Engineering and Pure Sciences

The proliferation of social networking sites and their user base has led to an exponential increase in the amount of data generated on a daily basis. Textual content is one type of data that is commonly found on these platforms, and it has been shown to have a significant impact on decision-making processes at the individual, group, and national levels. One of the most important and largest part of this data are the texts that express human intentions, feelings and condition. Understanding these texts is one of the biggest challenges that facing data analysis. It is the backbone for understanding …

Waste Recycling: Waste To Energy System, Basheer Abdulrazzak Ghani, Nadhim Mejbil Faleh

Al-Bahir Journal for Engineering and Pure Sciences

The current economic growth trend of increased urbanization has resulted in huge amounts of municipal waste and energy consumption. Many emerging countries, such as Iraq, suffer from the worsening of such a problem. Thus, an adequate municipal waste management system and the innovation of renewable energy alternatives are the fundamental issues that need to be addressed. Two test rigs were used in this study: the first separates waste based on the principle of gravity and the difference in density between the constituent elements of the waste, The test rig consists of a conveyor belt (0.5 meter) width and (1.5 meter) …

Optimizing Locations And Sizes Of Asphalt Concrete Plants In Karbala, Iraq, Ghayath Ali, Sawsan R Mohammad, Alaa M. Abdulhussein

Al-Bahir Journal for Engineering and Pure Sciences

This study develops and presents a methodology for determining the optimal geographic distribution and size of asphalt concrete plants in Karbala, Iraq, in order to minimize the cost of asphalt concrete produced. The purpose of this study is to discuss these points. The methodology can identify potential locations for asphalt concrete plants within a study area, considering the plants' operation and capital costs and the costs of transporting raw materials to the plants and asphalt concrete to demand centers. Matrix Laboratory (MATLAB) software have been used to program the methodology. This methodology has been applied to Karbala using actual data. …

Recent Technical Breakthroughs Enable Smart Manufacturing: A Review, Manish Kumar, Shanu Pandey, Kanchan Upadhyay, Pritibala Taunk, Raunak Kumar Tamrakar

Al-Bahir Journal for Engineering and Pure Sciences

In human culture, machine learning has long been used to address complicated issues. Machine learning is successful because of the help provided by computational power and sensing technology. Data-driven strategies and the development of artificial intelligence will soon have a significant impact on the industry. Common examples include search engines, picture recognition, biometrics, speech and handwriting recognition, natural language processing, as well as medical diagnostics and credit scores. It is obvious that when artificial intelligence permeates our globe and, more precisely, our lives, numerous challenges will become public. According to predictions, Industry 4.0 or Smart Manufacturing will be the next …

Detection Of Data Over Wireless Mobile Channels Based On Maximum Likelihood Technique, Mohd Israil

Al-Bahir Journal for Engineering and Pure Sciences

Next generation wireless systems are characterized by very high transmission bit rates which gives rise to severe Intersymbol interference (ISI) and this makes the detection process very challenging. Hence, assessment of performance of near-optimal detectors like Near Maximum Likelihood Detectors (NMLD) over such channels assumes great importance. This paper deals with the detection of data in the presence of Noise and ISI with NMLD. Performance improvement of NMLD, as compared to nonlinear equalization, has been assessed in terms of BER versus SNR curves obtained through computer simulation. A number of different cases of mobile radio channels have been simulated in …

Forecasting The Demand For Asphalt Concrete In Karbala Governorate, Ghayath Ali, Sawsan R Mohammad, Shakir Al-Busaltan

Al-Bahir Journal for Engineering and Pure Sciences

The challenge of forecasting asphalt concrete demand in the Karbala governorate is the subject of this study. Population and number of vehicles in Karbala are considered among the independent (explanatory) variables taken into consideration. These explanatory variables ' historical data have been gathered and examined. The historical data of each explanatory variable has been linked to the historical demand for asphalt concrete in the governorate using regression techniques in the Statistical Package for the Social Sciences (SPSS) program version 26.

A model to forecast the governorate's demand for asphalt concrete has been developed based on these factors. The forecasts have …