| |
|
April 2020
--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
Parallel SVM Based Classification Technique on big data: HPC center in Sudan
Iatimad Satti Abd Elkarim, Johnson Agbinya, Atika Hussein
Abstract The fast growth of data in different data domains and a large amount of data generated by digital technologies is a significant challenge for standard data management systems for managing and processing big data. It requires parallel computing for machine learning methods. This study aims to deal with big data analysis, using parallel computing through the SVM algorithm and Parallel SVM based MapReduce in Hadoop cluster. Support Vector Machines are an excellent example of the commonly used methods for producing classification problems. It is a suitable classifier in the area of machine learning because of its generalization ability and expertise to classify big data accurately. However, the traditional SVM is not appropriate for huge datasets due to its high computational complexity.This paper is a study an amended form of SVM algorithms, and Parallel Support Vector Machine (PSVMs), and their applications in different big data fields. PSVM is used in the Hadoop cluster, which is running in the HPC center in Sudan, the article applies PSVM on realistic data. These two models are implemented in four datasets for classification. Real water quality dataset from different water stations and the Ministry of Health in Sudan. The Adult dataset, the diabetes dataset, and the cover type dataset from UCI repository. The numerical experiment applying the PSVM is compared with SVM frameworks. The results showed that the applying of the parallel support vector machine gives the highest accuracy and has a good impact on reducing computation time. The performance is compared using time-consuming accuracy.
[ FULL TEXT PDF 1-14 ] DOI: 10.22587/ajbas.2020.14.4.1
--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
Application of Nanoparticle Technology with Biological Treatment Method on greywater for re-use in irrigation
Tahani Youssef, Mohamed N. Ali, Shokri M. Abdel Aziz, Mohamed Seiam
Abstract Greywater contains high levels of organics and other pollutants. The present study was carried out to investigate the biodegradation process of Greywater using biological treatment such as sequencing batch reactor (SBR). A different aeration cycles were applied such as 8 and 12 hours. In addition, some manufactured additives such as nanoparticles were used in best treatment cycle for enhancing the treatment efficiency. Three different raw samples were collected from of three different houses (3, 4, and 6 persons each) were modified through separation of the toilet flush (blackwater) away from other wastewater sources (greywater). A laboratory scale model of SBR unit was designed. Results indicated the great ability of applying the 12-hour aeration cycle with adding the nanoparticles additives for improving of the physicochemical parameters. The removal percentage of COD, BOD, TSS, NH3-N and TP are 91.93, 90.72, 90.11, 79.17 and 81.63 respectively.
[ FULL TEXT PDF 15-20 ] DOI:10.22587/ajbas.2020.14.4.2
--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
Application of Bacterial Isolation Technology with Biological Treatment Method on Tannery Wastewater for reuse in irrigation
Mohamed N. Ali, Rehab M. El-Hefny, Lamia M. Haliem
Abstract Leathering tanning wastewater contains high concentration of organics and other pollutants. the current study was dole out to analyze the biodegradation process of Leathering tanning process effluents using biological treatment such as activated sludge. A different aeration cycles were applied such as 6, 8 and 12 hours. In addition some locally isolated bacteria from the collected wastewater samples. Five different Leathering tanning effluent samples were collected from Leathering tanning factory at Elfostat city, Egypt. Two bacterial species (Bacillus and Staphylococcus) were separated from the raw industrial wastewater samples, identified and used for biodegradation process. Bacterial isolation process was prepared in the laboratory of national research center. Two-stage (aeration and sedimentation) laboratory scale model was designed. Results indicated the great ability of Bacillus bacteria for improving of the physicochemical parameters. The removal percentage of COD, BOD, TSS, NH3-N, TN and TP are 97.57, 96, 91.35, 96.15, 98.59 and 62.79 respectively. Biodegradation of leather tanning wastewater counting on local microorganisms is an efficient, cheap and eco-friendly technology. The final results of the treated industrial wastewater by using Bacillus bacteria with a 12-hour aeration followed by 2 hours settling period were less than the Egyptian standards of treated water for irrigation purpose.
[ FULL TEXT PDF 21-28 ] DOI:10.22587/ajbas.2020.14.4.3
--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
Action of Benzyl adenine on epidermal characters of Rumex vesicarius L., a medicinal plant
Abdulaziz A.M. Al Sahli, Mohammed A. Al Muwayhi
Abstract Background: Rumex vesicarius L., also known as Ruby dock or bladder dock, is one of the worldwide wild medicinal and economic important plants. Benzyl adenine (BA) may contribute to increase Rumex vesicarius tolerance to prevailing local environmental conditions, and thus improve its productivity. Objective: The aim of this study is to investigate the action of Benzyl adenine (BA) on the epidermis characteristics of Rumex vesicarius. Methods: The seeds of R. vesicarius were sown, Then, the plants were treated with 50 and 500 ppm BA solutions. The leaf and stem epidermal peels were prepared. Microscopic photography was utilized using Ernst Leitz Wetzlar GmbH microscope equipped with an external digital video camera with Motic Images plus 2.0 (MIPlus) software and connected to a computer. Results: The results show that BA used in this study either in low or high concentration, have no obvious effects on some epidermal characters, eg: the cell wall number, cuticle layer, trichome types, stomata shape and types, in both leaf and stem epidermis. On the other hand, BA have some effects on the other epidermal characters, eg: cells dimensions, number of trichomes, stomata number, and lengths of stomata in both leaf and stem epidermis. Our results showed a significant increase in trichomes number in the epidermis of leaf and stem in low or high concentrations plants, also stomata number in the epidermis of the leaf in low or high concentrations plants and increased insignificant in cells’ dimensions of stem epidermis with low or high concentrations. Whereas, appeared significant increasing in stomata number in epidermis stem with low or high concentrations, stomata dimensions in the upper epidermis in high concentration plants, lower epidermis, stem epidermis with low or high concentrations plants, and cells dimensions in lower epidermis with low or high concentrations plants. Conclusion: This study may indicate that spraying the shoot system of Rumex vesicarius L. with low or high concentration of BA may cause some differences in the epidermal characters of the leaf and stem. More studies could be investigated to measure the impact of these positive effects on the tolerance of this useful medicinal plant to cope its resistance to the harsh environmental conditions and to improve its economic importance.
[ FULL TEXT PDF 29-35 ] DOI: 10.22587/ajbas.2020.14.4.4
--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
|
|
|