Open Educational Resources become an important asset for many educational institutions. In this paper we report the analysis of our survey data on using open educational resources at the University of Tripoli (UoT) among the academic staff members. The survey data was collected electronically to assess the awareness and usage of open educational resources within the University of Tripoli. Results of our survey reveal that 90% of academic staff members surveyed are using open educational resources, but they are not contributing much to OER due to lack of support from university
Abdusalam F. Ahmad Nwesri(5-2019)

3D Holoscopic imaging (also known as Integral imaging) is a technique that is capable of creating and encoding a true volume spatial optical model of the object scene in the form of a planar intensity distribution by using unique optical component This paper presents an new technique that can produce 3D integral imaging animations movies, using the integral ray tracing algorithm. The main purpose of this paper is to propose a plug-in tool to interface with commercially available Ac3D Computer Graphics software package. The proposed approach is based on a 3D integral imaging ray-tracer software, multiprocessor ray tracing system, and a 3D unidirectional integral camera model. Basically, 3D camera file is required to manipulate 3D camera viewing parameters in order to have a new position of the 3D integral imaging camera. Ac3D IIP is especially developed in order to read the Ac3D model file format. Experimental results show validation of the new adapted software tool and tests on such as car and roses models. Consequently, 3D holoscopic computer animation has been created. Although a basic 3D model was used, this still showcases the principles behind 3D holoscopic imaging and it has been successfully displayed on a HoloVizio display.
Dr. Mahmoud Geat Eljadid, Prof. Amar Aggoun(3-2018)

The process of conflating different Arabic word formats to their stem or root is called stemming. Indexing text collection using stems or roots has been reported to be superior to using original word formats. However, the Arabic text stemming has negative effects on words. It conflates words with different meaning under one index term. This occurs frequently in Arabic when using stems and it becomes more frequent when choosing roots to index the collection. Furthermore, search engine whose index is constructed using a particular stemmer makes it a stemmer-dependent engine. In this paper, we show how we can still use stemming to reach the same results without indexing the stemmed text. Original words have been indexed, and a stemmer used to extract word variants and add them to the user query. Apart from making our search operation stemmer-independent, we proof that our approach is as good as light stemming and is significantly better than root stemming. arabic 5 English 41
Aabdusalam F Ahmad Nwesri, Hasan A. H. Alyagoubi(9-2015)