Department of Software Engineering

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About Department of Software Engineering

Facts about Department of Software Engineering

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29

Publications

12

Academic Staff

99

Students

101

Graduates

Programs

بكالوريوس في تقنية المعلومات
Major هندسة البرمجيات

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Who works at the Department of Software Engineering

Department of Software Engineering has more than 12 academic staff members

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Prof.Dr. HARMAIN MOHAMMED HARMAIN HARMAIN

الحرمين محمد الحرمين هو احد اعضاء هيئة التدريس بكلية تقنية المعلومات. يعمل الحرمين بجامعة طرابلس كـأستاذ في قسم هندسة البرمجيات منذ سنة 2014 وله العديد من المنشورات العلمية في مجال تخصصه...

Publications

Some of publications in Department of Software Engineering

Applying Arabic Stemming Using Query Expansion

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)
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Extracting Geographic 3D Integral Images Data from Raster Maps

Holoscopic 3D imaging (H3D) technology also known as integral imaging is a true 3D imaging technology. It offers the simplest form that is capable of recording and replaying the true light field 3D scene in the form of a planar intensity distribution, by employing Microlens array. Despite it uses the same characteristics of holographic, it records the 3D information in 2D form and display in full 3D with optical component, without the need of coherent light source and confine dark fine. In addition, it facilitates postproduction processing such as refocusing. This makes it more practical approach for real-time 3D image capture and display. In this paper, a new method of extract 3D integral images data from raster maps. The R2V is an advanced raster to vector conversion software system is mainly used in order to generate geographical 3D integral images. Experimental results are extremely satisfactory and for the first time it is proved that, Geographic 3D Integral Images is generated. It means that, a new certain approach enables GIS applications of using 3D integral images is now established.
Dr. Mahmoud Geat Eljadid(12-2021)
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Diagnosis and Surveillance of Covid-19 Pandemic Based on 3D Integral Images Technique

3D integral imaging is a true 3D imaging technology. It offers the simplest form that is capable of recording and replaying the true light field 3D scene in the form of a planar intensity distribution, by employing microlens array. There is a new world health crisis threatening the humanity with the spread of Covid-19 (Coronavirus Disease-2019). The Covid-19 belongs to a family of viruses that may cause various symptoms such as pneumonia, fever, breathing difficulty, and lung infection. Real images of Covid-19 patients confirmed by computed tomography CT were used to segment areas of increased attenuation in the lungs, all compatible with ground glass opacities and consolidations. This paper describes a new method to generate an indicative Covid-19 3D integral image models. The method is based on a Multiprocessor Ray Tracing System including Philips viewer, 3D slicer software and unidirectional camera. Experimental results are extremely satisfactory and for the first time it is proved that 3D integral images Covid-19 models are generated through Multiprocessor ray tracing system in order to deep monitoring and visualization to could be aid diagnosis in the absence of RT-PCR kits as demonstrated. A new file format content is created as well.
Dr. Mahmoud Geat Eljadid(3-2022)
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