• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2005년도 학술발표회(1)
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• pp.394-395
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• 2005

• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2005년도 학술발표회(2)
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• pp.1205-1206
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• 2005

• 대한수학회지
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• 제20권1호
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• pp.67-74
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• 1983

• Asian Pacific Journal of Cancer Prevention
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• 제17권2호
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• pp.553-555
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• 2016

Background: Liver cytology is indicated and requested for evaluating hepatic masses in symptomatic or serendipitous cryptic discovered lesions. Objective: To determine the cytomorphological patterns of hepatic lesions identified among a group of Sudanese patients. Materials and Methods: This is an analytical descriptive hospital-based study included 165 patients undergoing ultrasound-guided fine needle is an aspiration cytology (FNAC)for hepatic lesions, at Al-Amal Military Hospital & Khartoum Teaching Hospital in Khartoum, Sudan. Clinical data were reviewed. Air dried Diff Quick stained smears were grouped into unsatisfactory samples, benign lesions, and malignant neoplasms. Results: Our population were consisted of 35 (21.2%) females and 130 (78.8%) males, with a male to female ratio 3.7:1 and an age ranged between 47 to 80, and a mean age $57{\pm}7$. Of 165 cases, 57 (34.5%) were benign, no atypia were noticed, 101 (61.2%) were malignant. Most investigated patients were found to have metastatic lesions. Conclusion: FNAC is a useful tool for investigating hepatic lesions.

• International Journal of Computer Science & Network Security
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• 제24권1호
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• pp.23-30
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• 2024

This study tries clarify the process of making decisions with geographic information systems and how to choose the best place for Khartoum State displaced people to relocate to in order to be closer to cheaper places with access to commodities and services. For network analysis, use a unique model. The network analysis tool was dependent on the following information: availability of goods and services, cheap cost, and proximity to the state of Khartoum.in choosing the best state. The study came to the conclusion that, in terms of accessibility, affordability, and availability of products and services, Gezira State is the best state for people who have been displaced from Khartoum State.When developing a new model, we recommend that all GIS users apply the theories of spatial analysis.

• International Journal of Computer Science & Network Security
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• 제23권11호
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• pp.43-52
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• 2023

The paper aims to clarify how to make a decision using geographic information systems and how to choose the best route between two cities to suit the expectations of the driver and his sense of safety and comfort on the road. Use a special model for network analysis, where the network analysis tool relied on the following data (maximum speed of the road - number of intersections - road width - peak period) in choosing the best safe path. The paper concluded that the best safe route for refugees between the cities of Khartoum - Arqin crossing is ( Khartoum - Shendi - Atbara - Meroe - Abu Hamad - Wadi Halfa). We advise all GIS users to use the theories of spatial analysis when creating a new model.

• Journal of Forest and Environmental Science
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• 제38권2호
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• pp.90-101
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• 2022

The study aims to assess composition, diversity and population indices of natural regeneration of woody species in Jebel El Gerrie forest reserve, Blue Nile State, Sudan. We conducted field work between December 2018 and January 2019. We used random sampling to collect vegetation data in the forest where we made a total of 90 circular sample plots (radius 17.84 m) and distributed them proportionally to the area of each of the four density-based vegetation classes of the forest i.e. high density (C1), medium density (C2), low density (C3) and crop land (C4). In each sample plot we identified all regenerating tree species and counted their regeneration frequencies. We calculated ecological metrics of regeneration frequency, density, abundance, richness, evenness, diversity and importance value index (IVI) and drew abundance rank curve. Results revealed that out of fifteen mature tree species present, natural regeneration of 8 species, which belong to 6 families, was observed. The relatively most frequently naturally regenerating and abundant species were Anogeissus leiocarpa and Combretum hartmannianum. Richness, evenness and diversity of regenerating species were 1.33, 0.82 and 1.7, respectively. One-way ANOVA (α=0.05) of mean regeneration densities disclosed that there were significant differences (F_3,86=16.77, p=0.000) between C2 & C3 (p=0.000) and C2 & C4 (p=0.000). While regeneration of seven tree species were absent, two, two and four species were of good, poor and fair regeneration status, respectively. A comparison of mean density of natural regeneration with that of parent trees reflects a poor regeneration status of the forest. The study provides empirical results on the regeneration status of species and signifies the need for management interventions for species conservation and restoration, maintenance of biodiversity and sustainable production.

• Journal of Forest and Environmental Science
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• 제38권3호
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• pp.174-183
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• 2022

The study aims to examine population indices of mature trees in Jebel Elgarrie forest, Blue Nile State, Sudan. We used remote sensing techniques to stratify the forest into vegetation classes depending on tree density. We distributed 97 circular sample plots (0.1 ha) proportionally to the area of the vegetation classes. In each sample plot we identified, counted and recorded all mature trees (DBH ≥10 cm). We calculated frequency, density, abundance, richness, evenness and diversity for each species and we drew abundance rank curve of mature trees. We used One-Way ANOVA to test for differences (α=0.05) in mean density (No./ha) of mature trees between vegetation classes. Results revealed that the forest was conveniently sub-divided into high density (C1), medium density (C2), low density (C3) and bare farm land (C4) classes. We identified fifteen tree species that belong to 10 families and 14 genera. Combretaceae and Fabaceae were the common families while Anogeissus leiocarpa was the most frequently occurring species. While species diversity varied between vegetation classes, diversity of the forest as a whole is low. While mean density of mature trees in C1, C2, C3 and C4 it was 100, 74, 10, and 0, respectively, it was 54 for the whole forest indicating low stocking, Following One-Way ANOVA, multiple comparisons revealed significant differences in mean density of mature trees between C1 & C3 and C2 & C3. The study provided empirical results on population indices of mature tree species, which would be of importance for successful management and conservation of the forest.

• 대한수학회지
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• 제20권2호
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• pp.107-114
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• 1983

• 대한원격탐사학회지
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• 제38권4호
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• pp.375-386
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• 2022

The city of Khartoum, the capital of Sudan, was heavily damaged by the flood of the Nile in 2020. Classification using satellite images can define the damaged area and help emergency response. As Synthetic Aperture Radar (SAR) uses microwave that can penetrate cloud, it is suitable to use in the flood study. In this study, Random Forest classifier, one of the supervised classification algorithms, was applied to the flood event in Khartoum with various sizes of the training dataset and number of images using Sentinel-1 SAR. To create a training dataset, we used unsupervised classification and visual inspection. Firstly, Random Forest was performed by reducing the size of each class of the training dataset, but no notable difference was found. Next, we performed Random Forest with various number of images. Accuracy became better as the number of images in creased, but converged to a maximum value when the dataset covers the duration from flood to the completion of drainage.