- Awadallah Belal Dafaallah Belal - عوض الله بلال دفع الله بلال
- published on 6/2/2015
- Variability in Striga hermonthica (Del.) Benth. in the Sudan Gezira
Field surveys were conducted during the rainy season, 2008/2009, in the Gezira area, Central Sudan, to investigate variability within S. hermonthica populations with respect to morphological characters. Five locations; Hasaheisa, Abu-Haraz, Hag-Abdalla, Barakat and Wad-Rabia; were selected at random in S. hermonthica endemic areas. Host plants that were observed to be infested by the parasite were sorghum genotypes; Wad Ahmed, Gadam EL Hamam, Wad Akar and Abu-70. Variability among S. hermonthica populations was determined by counting number of Striga plants/m2 and measuring morphological characters including plant height, number of leaves, number of internodes, capsules per plant and shoot dry weight. Flower characters including number of ribs per calyx, flower width, length of corolla tube, bracts width, colour of spike and colour at drying were also recorded. Data were collected and subjected to descriptive analysis and analysis of variance (ANOVA) and means were tested for significance using the Duncan's Multiple Range Test (P ≤ 0.05). Data on flower characters were further compared with a recent taxonomic key. The results of the surveys revealed that, S. hermonthica was pre-dominant on sorghum genotypes in the Gezira area. S. hermonthica populations collected from different locations in Gezira area showed significant differences in morphological characters. However, differences in flower shape, size and colour were often not significant. Average Striga height ranged between 44.6 and 53.3.6 cm, leaves production ranged between 41-64.5, number of internodes ranged between 21.6 and 32.3 and density ranged between 9.1 and 35.6 plant/m2. Average of capsules per plant ranged between 39.1 and 63.3, seeds per parasite ranged between 27370 and 44310 and Striga shoot dry weight ranged between 1.25 and 2.20 g. The average of ribs per calyx ranged between 5.2 and 5.5, flower cross ranged between 1.6 and 1.9 cm, length of corolla tube ranged between 1.3 and 1.9 cm, width of bracts ranged between 2.1 and 2.6 cm and spikes had pink flowers that turn dark on drying. The variability in morphological and floral characters revealed by this study could be attributed to a multitude of variables including initial size of Striga seed bank, Striga species, strains or variants, crop genotype, management and climatic and edaphic conditions including, population density, soil fertility and moisture status.
Keywords: Striga, survey, morphology, flower, taxonomy.
published in Sinnar University Journal. 4 (1): 1-22
- Mohammad Basheer Mansoor Sallih - محمد بشير منصور صالح
- published on 1/1/2015
- الاتصال في ظل التقنيات الحديثة وأثره على المعلومات
سعى الباحث لاستنباط التأثيرات التي أحدثتها ظاهرة التطور التكنولوجي المتسارع وانعكاساته على مستوى أشكال الاتصال وقد استخدم الباحث المنهج الوصفي التحليلي في هذه الدراسة الذي يناسب مناهج الإعلام بكل مسمياته التي تصب في معين واحد في خدمة المجتمع الإنساني وقد أحدثت التقنية الحديثة نقلة واسعة في مجال الاتصال ونقل المعلومات وتفاعل الثقافات على المستوى المحلي والعالمي، إن تقنية المعلومات عندما تتقارب مع تكنولوجيا الاتصال تتحول لتصبح تقنية المعلومات والاتصال، وهو تزاوج قاد الإنسانية اليوم باتجاه عصر جديد هو عصر الاتصال الحاسوبي، والذي قاد إلى التقارب بين الأهداف التكنولوجية والأنشطة العلمية في المؤسسات التي بدأت استخدام المعارف لإنتاج العلم، الذي نمت به مؤسسات ومصانع ومصارف ذات قدرات مالية في العالم، بفضل تطور تقنية المعلومات واستخدام تكنولوجيا الاتصال بفعالية. وقد أصبحت تكنولوجيا الاتصال تلعب دوراً مفتاحياً في حياة المجتمعات اليومية.
published in Gezira Journal of Economic and Social Sciences
- - سحر حسن علي حامد
- published on 11/5/2016
- مشكلات استخدام الأطفال للانترنت من وجهة نظر الوالدين
- Fawzia Abdien Ali Abdulla - فوزية عابدين علي عبد الله
- published on 10/13/2016
- Multi-targets Tracking Using Parallel Kalman Filter
The multi target tracking problem is considered in this paper and a parallel kalman filter algorithm (Decentralized Kalman Filter) is presented. The proposed algorithm designed to make early and more accurate estimate for dynamic multi-targets in the area and to determine whether the sensor data representing the same targets or not, when the ability to track targets is essential in missile defense. Proposed technique is a two stage data processing technique which processes data from multi sensor system .In the first stage, each local processor uses its own data to make a best local estimate using standerd kalman filter and then these estimates are then obtained in parallel processing mode to make best global estimate. The proposed model is tested when tow sensors are used to track three targets and any sensor tracked two targets.The proposed technique performance is evaluated using measures such as the error covariance matrix and it gived high accuricy and optimal estimate. The experimental results showed that the proposed method has the ability to determine whether these two targets detected by the first sensor are the same two targets detected by the second sensor or two new targets.
published in 2016 CIE International Conference on Radar
- - عزة كمال أحمد عبد الماجد
- published on 5/4/2016
- A Comparative Study of Locality Preserving Projection and Principle Component Analysis on Classification Performance Using Logistic Regression
There are a variety of classification techniques such as neural network, decision tree, support vector machine and logistic regression. The problem of dimensionality is pertinent to many learning algorithms, and it denotes the drastic raise of computational complexity, however, we need to use dimensionality reduction methods. These methods include principal component analysis (PCA) and locality preserving projection (LPP). In many real-world classification problems, the local structure is more important than the global structure and dimensionality reduction techniques ignore the local structure and preserve the global structure. The objectives is to compare PCA and LPP in terms of accuracy, to develop appropriate representations of complex data by reducing the dimensions of the data and to explain the importance of using LPP with logistic regression. The results of this paper find that the proposed LPP approach provides a better representation and high accuracy than the PCA approach.
published in Journal of Data Analysis and Information Processing