قسم الحوسبة المتنقلة

المزيد ...

حول قسم الحوسبة المتنقلة

قسم الحوسبة المتنقلة/كلية تقنية المعلومات/جامعة طرابلس

حقائق حول قسم الحوسبة المتنقلة

نفتخر بما نقدمه للمجتمع والعالم

7

المنشورات العلمية

10

هيئة التدريس

76

الطلبة

10

الخريجون

البرامج الدراسية

بكالوريوس في تقنية المعلومات
تخصص الحوسبة المتنقلة

...

التفاصيل

من يعمل بـقسم الحوسبة المتنقلة

يوجد بـقسم الحوسبة المتنقلة أكثر من 10 عضو هيئة تدريس

staff photo

أ. زهره عبدالله بركة الاشعل

زهره الاشعل هي احد اعضاء هيئة التدريس بقسم تقنيات الانترنت بكلية تقنية المعلومات بجامعة طرابلس. تعمل السيدة زهره الاشعل بجامعة طرابلس كـمحاضر مساعد منذ 2016-04-20 وحاليا تعمل بدرجة محاضر. ولها العديد من المنشورات العلمية في مجال تخصصها

منشورات مختارة

بعض المنشورات التي تم نشرها في قسم الحوسبة المتنقلة

Designing a Mobile App to trace Covid-19 using Social Networks, IEEE Conference

Abstract: In this paper, we introduce our new design of mobile social app. This app can be used to trace the spread of Covid-19 among the app users while in social gathering. In the state of the art, we studied several existing social apps from around the world to trace/track Covid-19 and compare them with our new social app. In this comparisons, a number of parameters are defined to cover wide range of aspects related to current pandemic. These aspects covers existing of technologies (Cloud, Bluetooth, Mobile Device), governments (Support, Use, Enforcement), and app users ( Health, Social, Privacy). From the users prospective, the new design takes into account the effects of wearing masks have on lowering the rate and informing the user of the spread of the Covid-19 pandemic in their surrounding communities. From the development prospective, the new design was described without hassling with the platform details of app implementation. Our evaluation of the design support the development of a social app that adhere to existing technologies, government policies, and user trust.
Khaled BenHamed, Abdussalam Nuri Baryun(6-2021)
Publisher's website

An Algorithm Based on Using Roots of Quadratic Equation to Test the Primality of a Large Number

This paper is presented an algorithm for testing primality of a large number in faster way and low storage space. Today the almost techniques which are used for testing the primality of the large number are struggling to reduce the cost of both processing time and storage space. Therefore, an intensive research by mathematicians and computers scientists is going in this field. The suggested algorithm is based on using of solutions of the quadratic equation (QE). The technique is aiming to find any two distinct numbers which are representing the obtained two roots of the QE. If these two roots are exist, in this case the given integer is not prime and the algorithm can identify the two roots in efficient cost of time and storage. The algorithm has appeared that it is working well by producing fantastic results. From these results, new ideas and thoughts have been listed for further analysis and discussion for testing of the primality of numbers
Omran Emhemmd Ahmed Farhat, Nahed Fathi M Farah, Ali K. Sabera(5-2019)
Publisher's website

Assessing Growth and Instability of Open Source Software Systems

Abstract: software systems progressively evolve over time where source code needs to be modified, newly are added and others need to be deleted. Therefore, it is worth to monitor progress and software development, to measure growth and assess system stability. This paper assesses OSS software growth and instability to clarify impacts of its instability on its system growth. Three open source software applications, with different characteristics, have been selected. Size and instability metrics are extracted and statistically analyzed in order to assess the reflections of software growth under instability behaviors.
Ali Mresa, Abdussalam Baryun(6-2021)
Publisher's website

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