النشر العلمي

  • 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

  • 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

  • الجيش والمليشيات المسلحة في السودان: تكامل أدوار أم تنازع اختصاصات

تهدف الورق إلي مناقشة علاقة الجيش بالمليشيات المسلحة في السودان، من حيث طبيعة هذه العلاقة وأدوار الأطراف المختلفة في الصراع، ودور الجيش في حفظ الاستقرار السياسي في السودان، وعلاقة بالاحتياطات العسكرية مثل الدفاع الشعبي ، وتبين الورقة الخلاف بين أنواع المليشيات المسلحة في السودان .

published in المركز العربي لإبحاث السياسيات

  • biological sciencesInternational Conference on chemical,agricultural and

Photochemical Analysis of Sudanese Indigenous Plant (Abutilon) and the Effect of Plant extract on Characteristics of Cotton Fabrics

 

Fadl elmoula Abd alla.Idris ,Nedal Eth eldeen and Thoaeba Salih

Department of Textile Engineering

Faculty of Textile

University of Gezira

Wed Medani, Sudan

Email kadabas_20@yahoo.com

Abstract

The ultimate goal of this paper is to study anti-microbial activities of Abutilon plant and to evaluate the effect of plant extract on physical characteristics of cotton fabrics. Results of Photochemical analysis of the plant revealed the presence of Steroids, Tannin, Alkaloids, Terpenoids, glycosides and Saponin. The physical properties of fabrics such as tensile strength, tearing, were negatively affected. On the same way the breaking at elongation was improved. The results also showed, washing fastness was not affected by using plant extract the treated and untreated samples recorded (5 gray scale). On the same way the colour fastness was affected by using plant extract the colour fastness was recorded (3 scales and 5 scales) for treated and untreated samples respectively.

Keywords. Abutilon extract, physical characteristic, photochemical analysis, cotton fabrics.

 

 

 

published in International conference on Chemical,Agriculturaland Biological Sciences,

  • Photo chemical Analysis of Sudanese Indigenous Plant Abutilon and Effect of plant Extacts on characteristics of Cotton Fabrics

Photochemical Analysis of Sudanese Indigenous Plant (Abutilon) and the Effect of Plant extract on Characteristics of Cotton Fabrics

 

Fadl elmoula Abd alla.Idris ,Nedal Eth eldeen and Thoaeba Salih

Department of Textile Engineering

Faculty of Textile

University of Gezira

Wed Medani, Sudan

Email kadabas_20@yahoo.com

Abstract

The ultimate goal of this paper is to study anti-microbial activities of Abutilon plant and to evaluate the effect of plant extract on physical characteristics of cotton fabrics. Results of Photochemical analysis of the plant revealed the presence of Steroids, Tannin, Alkaloids, Terpenoids, glycosides and Saponin. The physical properties of fabrics such as tensile strength, tearing, were negatively affected. On the same way the breaking at elongation was improved. The results also showed, washing fastness was not affected by using plant extract the treated and untreated samples recorded (5 gray scale). On the same way the colour fastness was affected by using plant extract the colour fastness was recorded (3 scales and 5 scales) for treated and untreated samples respectively.

Keywords. Abutilon extract, physical characteristic, photochemical analysis, cotton fabrics.

 

 

published in International conference on Chemical,Agriculturaland Biological Sciences,

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