Cloth simulation and animation has been the topic of research since the mid-80's in the field of computer graphics. Enforcing incompressible is very important in real time simulation. Although, there are great achievements in this regard, it still suffers from unnecessary time consumption in certain steps that is common in real time applications.   This research develops a real-time cloth simulator for a virtual human character (VHC) with wearable clothing. This research achieves success in cloth simulation on the VHC through enhancing the position-based dynamics (PBD) framework by computing a series of positional constraints which implement constant densities. Also, the self-collision and collision wit

A retrospective study is conducted to identify factors that improve prospective animal studies; contribute to the optimization of animal protection from all unnecessary and preventable damage. Preclinical oral histology research from 2010-2020 is evaluated and 64 studies were reviewed relating to two interventions: bone trauma and surgical incision. The harm-benefit analysis is featured in this study through the application of the recent form of Bateson's Cube. Depending on its three axes, we can assess animal suffering, the likelihood of benefit, and the importance of research. The total number of animals used in the research is 2685. Rats, 51.6%, and rabbits, 48.4%, are the most commonly used animals. Research related to bone healing acco

This research including lineament automated extraction by using PCI Geomatica program, depending on satellite image and lineament analysis by using GIS program. Analysis included density analysis, length density analysis and intersection density analysis. When calculate the slope map for the study area, found the relationship between the slope and lineament density.
The lineament density increases in the regions that have high values for the slope, show that lineament play an important role in the classification process as it isolates the class for the other were observed in Iranian territory, clearly, also show that one of the lineament hit shoulders of Galal Badra dam and the surrounding areas dam. So should take into consideration

المستودع الرقمي العراقي. مركز المعلومات الرقمية التابع لمكتبة العتبة العباسية المقدسة

This research aims to analyze and simulate biochemical real test data for uncovering the relationships among the tests, and how each of them impacts others. The data were acquired from Iraqi private biochemical laboratory. However, these data have many dimensions with a high rate of null values, and big patient numbers. Then, several experiments have been applied on these data beginning with unsupervised techniques such as hierarchical clustering, and k-means, but the results were not clear. Then the preprocessing step performed, to make the dataset analyzable by supervised techniques such as Linear Discriminant Analysis (LDA), Classification And Regression Tree (CART), Logistic Regression (LR), K-Nearest Neighbor (K-NN), Naïve Bays (NB

يهدف البحث الحالي إلى تحليل محتوى كتاب الحاسوب للصف الثاني متوسط وفق مهارات التفكير المنطقي للعام الدراسي(2015- 2016)م, ولتحقيق ذلك تم استخدام المنهج الوصفي التحليلي (تحليل محتوى) لملاءمته لطبيعة هدف البحث, وتم اعداد أداة البحث بالأعتماد على قائمة مهارات التفكير المنطقي بعد مراجعة الأدبيات والدراسات السابقة, وتم عرضها على مجموعة من المحكمين المتخصصين في المناهج وطرائق التدريس وعلم النفس وعلم الحاسبات والقياس

Die Forschung besteht aus zwei Kapiteln: das erste Kapitel geht es nur um die Form des Gedichts, aber das zweite Kapitel geht es um die Analyse des Gedichts, und das ist das Wesen der Arbeit, gleichzeitig enthält das zweite Kapitel auch zwei wichtige Disziplinen.

Die erste Disziplin handelt es sich um die Struktur des Gedichts, nämlich die lyrische Seite; Reim,Rhythmus,Strophe,und Versmaße, aber die zweite Disziplin handelt es sich um den Inhalt, erklärt hier sowohl das Wesen als auch das Ziel des Gedichts, denn das Gedicht besteht aus vier Strophen, die miteinander zu sehr nicht getrennt sind.

Der Dichter beschreibt in erster Strophe die Beziehung zwischen einem Paar, das genau acht Jahre zusammen gelebt hat. Die bei

Support vector machines (SVMs) are supervised learning models that analyze data for classification or regression. For classification, SVM is widely used by selecting an optimal hyperplane that separates two classes. SVM has very good accuracy and extremally robust comparing with some other classification methods such as logistics linear regression, random forest, k-nearest neighbor and naïve model. However, working with large datasets can cause many problems such as time-consuming and inefficient results. In this paper, the SVM has been modified by using a stochastic Gradient descent process. The modified method, stochastic gradient descent SVM (SGD-SVM), checked by using two simulation datasets. Since the classification of different ca

      In this study, different methods were used for estimating location parameter  and scale parameter for extreme value distribution, such as maximum likelihood estimation (MLE) , method of moment  estimation (ME),and approximation  estimators based on percentiles which is called white method in estimation, as the extreme value distribution is one of exponential distributions. Least squares estimation (OLS) was used, weighted least squares estimation (WLS), ridge regression estimation (Rig), and adjusted ridge regression estimation (ARig) were used. Two parameters for expected value to the percentile  as estimation for distribution f