Ain Shams University, Faculty of Computer and Information Science
International Journal of Intelligent Computing and Information Sciences
1687-109X
2535-1710
17
4
2017
10
01
A SYSTEM FOR MANAGING ATTENDANCE OF ACADEMIC STAFF MEMBERS IN UNIVERSITY DEVELOPMENT PROGRAMS USING FACE RECOGNITION
1
17
EN
Wessam
ElSaid
Department of Computer Teacher Prepration, Faculty of Specific Education, Mansoura University,
Mansoura, Egypt
prof_wessam@mans.edu.eg
10.21608/ijicis.2018.7706
great development in all aspects of the life imposes new changes on various organizations. Since the academic institutions are not isolated from the real world events, they have sought to build an integrated strategy for developing their activities and services to keep pace with the new reality. One of the major development areas in the university sector is the improvement of the academic staff members’ skills on both the leadership and academic levels through a series of certified development programs. Until now, recording the members’ attendance in these programs depends on traditional manual methods which have many drawbacks. Therefore, the current study presents an automatic system based on face recognition technology to address these drawbacks.The proposed system includes five main steps: capturing member image, detecting member face, extracting facial features, comparing facial features and creating target reports. The system usefulness can be viewed form two major aspects.Aspect-1; is the accuracy rate in which proposed system achieved significant performance under ideal imaging conditions and achieved acceptable performance under un-ideal imaging conditions compared with some other systems in the same field. Aspect-2; is the cost rate in which the proposed system does not require an expensive settings, making it an appropriate choice for various educational institutions.
Educational Institutions,Academic Staff Members,Development Programs,Managing Attendance,Face Recognition,Haar Cascade Classifier,Local Binary Pattern
https://ijicis.journals.ekb.eg/article_7706.html
https://ijicis.journals.ekb.eg/article_7706_6df4753e6f5adbf75daadedd7ce92f78.pdf
Ain Shams University, Faculty of Computer and Information Science
International Journal of Intelligent Computing and Information Sciences
1687-109X
2535-1710
17
4
2017
10
01
Perfromance Analysis of aTree Routing Protocol for Cognitive Radio Network Under Impact of Different Primary User Activity Patterns.
19
30
EN
M
Hashem
Department of information Systems,
Faculty of Computers and Information Sciences,
Ain Shams University,
Cairo, Egypt
mhashem100@yahoo.com
S
Barakat
Department of information Systems,
Faculty of Computers and Information Sciences,
Mansoura University,
Mansoura ,Egypt
shriefiib@yahoo.com
M
AttaAlla
Department of information Systems,
Faculty of Computers and Information Sciences,
Mansoura University,
Mansoura ,Egypt
m3ttaalla@gmail.com
10.21608/ijicis.2018.7912
The mistakes in the spectrum management have drive to a problem of the scarcity of spectrum,<br />which can be solved through the use of Cognitive Radio (CR) technology. The main concept of CR<br />technology allows unauthorized users (secondary users (SUs))for using the spectrum resources for<br />communication without harm authorized users (primary users (PUs)).The traditional wireless networks,<br />the nodes are connected based on a centralized infrastructure. But in Cognitive Radio Ad Hoc Network<br />(CRAHN) Networks, mobile SUs nodes are connected to each other without a central infrastructure.<br />Routing in CRAHNs is an important and necessary process in CRAHNs. It faces many and various<br />challenges. These challenges include PUs intervention, frequently dynamic topology, energy<br />consumption problems, unavailable channels, and fragile connections between nodes. The our probased<br />routing protocol called A tree routing protocol for cognitive radio network (C-TRP) has utilized the tree<br />routing algorithm with a spectrum management module in one routing decision module. In this paper,<br />weevalute a performance of the tree routing protocol (C-TRP) under the influence of the different PUs<br />activity patterns with help of three performance metrics :hop count, the number of CR nodes and number<br />of available channels. The performance evaluation is evaluted using NS-2 simulator. Simulation results<br />confirm that C-TRP outperforms “spectrum-tree based on demand routing protocol for multi-hop<br />cognitive radio networks”(STOD-RP), and Cognitive Tree-based Routing(CTBR) in terms of packet<br />delivery ratio and causes less harmful interference to PR nodes, and also less end-to-end delay in all<br />primary radio nodes activity patterns.
Multi-hop cognitive radio networks,Cognitive radio ad hoc network,spectrum diversity,performance evaluation,CRAHNs
https://ijicis.journals.ekb.eg/article_7912.html
https://ijicis.journals.ekb.eg/article_7912_3270b6910059193f9fdeac174a2f7e8b.pdf
Ain Shams University, Faculty of Computer and Information Science
International Journal of Intelligent Computing and Information Sciences
1687-109X
2535-1710
17
4
2017
10
01
COMPARATIVE STUDY OF ROUTING PROTOCOLS FOR MOBILE AD HOC NETWORKS
31
43
EN
Adel
El-Kabbany
Higher Technology Institute,
kabany_2008@yahoo.com
Hanafy
Ali
Computers and Systems
Engineering Depart.,-Faculty of
Engineering, Minia University, El
Minia, Egypt
hmali@mu.edu.eg
Aziza
Hussein
Computers and Systems Eng. Dept.
Minia University, Minia, Egypt
2Electrical and Computer Eng. Dept.
Effat University, Jeddah, Saudi Arabia
azibrahim@effatuniversity.edu.sa
Ben
Tawfeek
Computers and Systems
Engineering Depart.,-Faculty
of Engineering, Suze Canal
University, Suze Canal, Egypt
benbellat@gmail.com
10.21608/ijicis.2018.7913
Mobile Ad-hoc Network (MANET) is an infrastructure less and decentralized network<br />which need a robust dynamic routing protocol. Many routing protocols for such networks have been<br />proposed so far to find optimized routes from source to the destination and prominent among them are<br />Dynamic Source Routing (DSR), Ad-hoc On-Demand Distance Vector (AODV), and Destination-<br />Sequenced Distance Vector (DSDV) routing protocols. The performance comparison of these protocols<br />should be considered as the primary step towards the invention of a new routing protocol. This paper<br />presents a performance comparison of proactive and reactive routing protocols DSDV, AODV and DSR<br />based on QoS metrics (packet delivery ratio, average end-to-end delay, throughput, and jitter),<br />normalized routing overhead and normalized MAC overhead by using the NS-2 simulator. In this work,<br />the performance comparison is conducted by varying mobility speed, a number of nodes and data rate.<br />The comparison results show that AODV performs optimally well not the best among all the studied<br />protocols.
Mobile Ad hoc Network (MANET),AODV,DSDV,DSR,NS-2 simulator,and QoS metrics
https://ijicis.journals.ekb.eg/article_7913.html
https://ijicis.journals.ekb.eg/article_7913_225c0a4101ee81eaaa38ae3672a6e33b.pdf
Ain Shams University, Faculty of Computer and Information Science
International Journal of Intelligent Computing and Information Sciences
1687-109X
2535-1710
17
4
2017
10
01
INTELLIGENTPERSONALIZATION APPROACHESFORCOMPLEX CUSTOMER BEHAVIOUR: AN OVERVIEW
45
57
EN
Mohamed
Galal
0000-0003-2314-7219
Commercial International Bank
mhdgalal@yahoo.com
Ghada
Hassan
Computer Science department Ain Shams University
and British University in Egypt
ghada.hassan@bue.edu.eg
Mostafa
Aref
0000-0002-1278-0070
Computer Science department
Ain Shams University
mostafa.m.aref@gmail.com
10.21608/ijicis.2018.7927
Intelligent techniques have been used in the marketing and sales sectors of business to<br />improve analysis, increase revenues and save time. In customer-centric institutions, one of the areas in<br />which intelligent techniques and data mining algorithms have been used is the personalization for<br />enhanced CRM (customer relationship management) performance. However, with a growing number of<br />customers, the diversity of products on offer, the complex behavior of customer groups and the<br />continuous change of personalization parameters, the production of a tailored personalized<br />recommendation and the prediction of future needs are a challenging task. Within these institutions,<br />personalization that is more true to the customer needs leads to better targeted marketing campaigns<br />and enhances customer satisfaction with the ultimate aim of increasing the rates of customer retention,<br />and improving competitive advantage. Intelligent techniques and data mining algorithms have been<br />used to produce a more accurately tailored action or service to individual customers or segments of<br />customers. However, many limitations still exist in the CRM personalization lifecycle that undermine<br />the scope of personalized actions that follow; especially in evaluating of effectiveness of targeting,<br />ensuring the coverage of a large segment customers and the control on the decision making process.
Personalization,Intelligent DSS,Dimensional Modeling,Clustering,Association Rules,User Profile,Group Profile,Object Profiling,Recommendation,Business Intelligence,Customer Churn,Data mining
https://ijicis.journals.ekb.eg/article_7927.html
https://ijicis.journals.ekb.eg/article_7927_ebd1f92728e5d086fb128bdca801f298.pdf
Ain Shams University, Faculty of Computer and Information Science
International Journal of Intelligent Computing and Information Sciences
1687-109X
2535-1710
17
4
2017
10
01
FRAMEWORK FOR GAMIFICATION BASED E-LEARNING SYSTEMS FOR HIGHER EDUCATION IN EGYPT
59
71
EN
M
Elabnody
College of Computing & Information Technology (CCIT)
Arab Academy for Science, Technology, and Maritime Transport (AASTMT)
elabnody@msn.com
10.21608/ijicis.2018.7932
With gamification, design elements known from games can be used in several<br />ways;Businesses have begun to use gamification to enhance profitability, staffhave turned work into a<br />game in order to reduce the monotony, serious applications like work and education are being started<br />using mechanisms borrowed from game design, by adding elements from games into non-game elearning<br />applications. This study aims to identify how the elements of gamification affect user<br />experienceand increase their engagementwith registered subjects. Through a dynamic question<br />selection approach based on the gamification tactics, the real exams of a number of students showed the<br />improvement of their knowledge acquisition by 55% over the traditional examination approaches.
E-learning,games-based learning,Gamification,gamified e-learning course,Higher Education
https://ijicis.journals.ekb.eg/article_7932.html
https://ijicis.journals.ekb.eg/article_7932_3ddec640c0807c3bbdc225c52f6a4adc.pdf