@article{ author = {Nikmanesh, Shirin and Akbari, Mohammad and Joda, Roghayeh}, title = {A Proactive Context-Aware Self-Healing Scheme for 5G Using Machine Learning}, abstract ={Future mobile communication networks particularly 5G networks require to be efficient, reliable and agile to fulfill the targeted performance requirements. All layers of the network management need to be more intelligent due to the density and complexity anticipated for 5G networks. In this regard, one of the enabling technologies to manage the future mobile communication networks is Self-Organizing Network (SON). Three common types of SON are self-configuration, Self-Healing (SH) and self-optimization. In this paper, a framework is developed to analyze proactive SH by investigating the effect of recovery actions executed in sub-health states. Our proposed framework considers both detection and compensation processes. Learning method is employed to classify the system into several sub-health (faulty) states in detection process.  The system is modeled by Markov Decision Process (MDP) in compensation process in which the equivalent Linear Programing (LP) approach is utilized to find the action or policy that maximizes a given performance metric. Numerical results obtained in several scenarios with different goals demonstrate that the optimized proposed algorithm in compensation process outperforms the algorithm with randomly selected actions.}, Keywords = {component, fifth generation cellular network (5G), self-organizing networks (SON), self-healing, fault detection and compensation, markov decision problem (MDP), linear programming, machine learning, K-means clustering}, volume = {10}, Number = {4}, pages = {1-10}, publisher = {ICT Research Institute(ITRC)}, url = {http://ijict.itrc.ac.ir/article-1-405-en.html}, eprint = {http://ijict.itrc.ac.ir/article-1-405-en.pdf}, journal = {International Journal of Information and Communication Technology Research}, issn = {2251-6107}, eissn = {2783-4425}, year = {2018} } @article{ author = {Vardasbi, Ali and Faili, Heshaam and Asadpour, Masou}, title = {On the Reselection of Seed Nodes in Independent Cascade Based Influence Maximization}, abstract ={Influence maximization serves as the main goal of a variety of social network activities such as viral marketing. The independent cascade model for the influence spread assumes a one-time chance for each activated node to influence its neighbors. On the other hand, the manually activated seed set nodes can be reselected without violating the model parameters or assumptions. This view divides the influence maximization process into two cases: the simple case where the reselection of the nodes is not considered and the reselection case. In this study we will analyze real world networks in the reselection case. First we will show that the difference between the simple and the reselection cases constitutes a wide spectrum of networks ranging from the reselection-free to the reselection-friendly ones. Then we will experimentally show a significant entanglement between this and influence spread dynamics as well as other structural parameters of the network. Specifically, we show that under a realistic condition, the reselection gain of a network has a correlation of 0.73 to a newly introduced influence spread dynamic. Furthermore, we propose a measure for detecting star-like networks and experimentally show a significant correlation between our proposed measure and the reselection gain in real world networks with different edge weight models.}, Keywords = {Influence Maximization, Network Structure, Independent Cascade, Maximization over Integer Lattice, Core Decomposition}, volume = {10}, Number = {4}, pages = {11-21}, publisher = {ICT Research Institute(ITRC)}, url = {http://ijict.itrc.ac.ir/article-1-406-en.html}, eprint = {http://ijict.itrc.ac.ir/article-1-406-en.pdf}, journal = {International Journal of Information and Communication Technology Research}, issn = {2251-6107}, eissn = {2783-4425}, year = {2018} } @article{ author = {Yaghubi-Namaad, Mohsen and GhaffarpourRahbar, Akbar and Alizadeh, Behrooz}, title = {Network Planning Policies for Joint Switching in Spectrally-Spatially Flexible Optical Networks}, abstract ={The spectrally and spatially flexible optical networks (SS-FON) are the promising solution for future optical transport networks. The joint switching (J-Sw) paradigm is one of the possible switching schemes for SS-FON that brings optical component integration alongside with acceptable networking performance. The network planning of J-Sw is investigated in this paper. The formulation of resource allocation for J-Sw is introduced as in integer linear programming to find the optimal solution. To find the near-optimal solution, the heuristic algorithms are initiated with sorted connection demands. The way connection demands are sorted to initiate the heuristic algorithms affects the accuracy of algorithms. Therefore, six different sorting policies are introduced for J-Sw. Moreover, the heuristic algorithm called joint switching resource allocation (JSRA) algorithm is introduced, especially for J-Sw. The heuristic algorithm performance initiated with different sorting policies is investigated through simulation for a small-size network. The optimality gap is the most important indicator that shows the effect of each sorting policy on the near-optimal solution. The new sorting policy of connection demands called descending frequency width (DFW) policy achieved the least optimality gap. Also, the JSRA performance initiated with these sorting policies is investigated for a real network topology. The obtained results indicate that DFW shows better performance than other sorting policies in realistic networks, too.}, Keywords = {Optical transport networks, SS-FON, Space division multiplexing, Joint switching, Network planning, Static traffic, Resource allocation, RMLSSA, Sorting policies.}, volume = {10}, Number = {4}, pages = {22-31}, publisher = {ICT Research Institute(ITRC)}, url = {http://ijict.itrc.ac.ir/article-1-407-en.html}, eprint = {http://ijict.itrc.ac.ir/article-1-407-en.pdf}, journal = {International Journal of Information and Communication Technology Research}, issn = {2251-6107}, eissn = {2783-4425}, year = {2018} } @article{ author = {Aghaei, Babak and Khademzadeh, Ahmad and Badie, Kambiz and Reshadi, Midia and Sarhangi, Saei}, title = {OSDTM: an Offline-Structural Distributed Test Mechanism for Data Links in NoC}, abstract ={The Micro Packet Switched based Network on Chip (NoC) is emerged to address traditional non-scalable buses-based Systems on Chip (SoC) challenges such as out of order transactions, flow control and higher latencies. The NoC is disposable to a different of defects in its life which cause of such drawbacks as data missing, efficiency reduction, and eventually, entire system overwhelm. This paper is amid to propose a new Offline-Structural Distributed Test Mechanism (OSDTM) to discovering and emplacing shorts on the data links in NoC. The projected test approach encompasses three main component namely Test Pattern Producer (TPP), Test Response Compiler (TRC) that are implanted in the Network Adapter (N) as well as a Flit Comparator Block (FCB) located in the Routers(R). The FCB concern is to detect dissimilar Flits through comparison the entrance Flits. The OSDTM leads to 100% Test Coverage (TC), 82.3% Discovering Capability (DC), and 100% fault emplacement (FE) of faulty links in NoC. The experimental results illustrate that the FCB hardware cost is very insignificant in related to the hardware of Vici router.}, Keywords = {component, Network on Chip, Biult in self test, links test mechanism, fault discovering and emplacement,}, volume = {10}, Number = {4}, pages = {32-41}, publisher = {ICT Research Institute(ITRC)}, url = {http://ijict.itrc.ac.ir/article-1-408-en.html}, eprint = {http://ijict.itrc.ac.ir/article-1-408-en.pdf}, journal = {International Journal of Information and Communication Technology Research}, issn = {2251-6107}, eissn = {2783-4425}, year = {2018} } @article{ author = {Saeidi, Mahmoud and Ahmadi, Ali}, title = {Deep Learning Based on Parallel CNNs for Pedestrian Detection}, abstract ={Recently, deep learning methods, mostly algorithms based on Deep Convolutional Neural Networks (DCNNs) have yielded great results on pedestrian detection. Algorithms based on DCNNs spontaneously learn features in a supervised manner and are able to learn qualified high level feature representations to detect pedestrian. In this paper, we first review a number of popular DCNN-based training approaches along with their recent extensions. We then briefly describe recent algorithms based on these approaches. Also, we accentuate recent contributions and main challenges of DCNNs in detecting pedestrian. We analyze deep pedestrian detection algorithms from training approach, categorization, and DCNN model points of view, and ultimately propose a new deep architecture and training approach for deep pedestrian detection. The experimental results show that the proposed DCNN and training approach, achieve more accurate rate detection than the previously reported architectures and training approaches.}, Keywords = {Parallel DCNN, Pedestrian Detection, Region-based Convolutional Neural Network (RCNN), Single Shot Detector (SSD), Training Approach.}, volume = {10}, Number = {4}, pages = {42-52}, publisher = {ICT Research Institute(ITRC)}, url = {http://ijict.itrc.ac.ir/article-1-410-en.html}, eprint = {http://ijict.itrc.ac.ir/article-1-410-en.pdf}, journal = {International Journal of Information and Communication Technology Research}, issn = {2251-6107}, eissn = {2783-4425}, year = {2018} } @article{ author = {Sajadi, Seyed Hadi and Habibi, Jafar and Fazli, Mohammad Ami}, title = {The Emotional Promulgation of Social Norms in Social Networks Based on Structural Properties}, abstract ={Social norms play an important role in regulating the behavior of societies. They are behavioral standards that are considered acceptable in a group or society and violating them will result in sanction to violator. Both governments and various cultural communities use this social component to solve various problems in society. The use of norms leads to a large reduction in community spending to control harmful behaviors. Social norms have two important aspects of promulgating and sanctioning. They are promulgated by activists in the community and, after creation, are endorsed with a sanction. Norms can be used to promote a variety of different behaviors. Online social networks have established a new and influential platform for promulgating social norms. We first redefined the Rescorla-Wagner conditional learning model in the context of social norms with the help of a norm’s intrinsic properties, and extract the main coefficients in the Rescorla-Wagner model related to it. Based on this model, we extract a network structure related parameter (i.e. clustering coefficient) for any individual in the social network to promulgate the norm with the conditional learning method. In this paper, by using the intrinsic properties of norms, we use and tune the Rescorla-Wagner conditioning model in order to obtain a new model for social norm promulgation. Based on this, we define criteria for the amount of effort required to promulgate norms in social networks. We show that there is negative correlation between the amount of effort required by each node to promulgate a norm and the clustering coefficient of that node. This result can be used to devise effective algorithms for social norms evolution.}, Keywords = {social network, social norm, classical conditioning, clustering coefficient, Rescorla-Wagner}, volume = {10}, Number = {4}, pages = {53-60}, publisher = {ICT Research Institute(ITRC)}, url = {http://ijict.itrc.ac.ir/article-1-411-en.html}, eprint = {http://ijict.itrc.ac.ir/article-1-411-en.pdf}, journal = {International Journal of Information and Communication Technology Research}, issn = {2251-6107}, eissn = {2783-4425}, year = {2018} } @article{ author = {Azadnia, Mohammad and Zahedi, Shamsossadat}, title = {A Framework for ICT-Oriented Sustainable Development through Mapping from ICT Concerns onto Sustainability Indicators}, abstract ={Sustainable development establishes a framework in which environmental policies and development strategies interact each other, and in the process of economic development, the long-term environmental value and human society is taken into account. In addition, ICT is rapidly transforming all aspects of human life and there is less of a sense of our lives that have not been directly or indirectly affected by the ICT. Our studies of the previous frameworks on the effects of ICT on the goals of sustainable development show that most of them fall into two categories. There are a number of frameworks that have introduced general and high-level ICT impacts on sustainability development in the first category, and the second category refers to some specific technologies or specific SDGs. In this paper, we have proposed a framework that addresses all technologies and concerns related to ICT and all SDGs. The main objective of this framework is to show the impact and mapping between SDGs, ICT concepts and technologies, ICT concerns, and ICT development success factors that can be used directly to evaluate the growth and degradation of each of them. The ICT concerns classified into four categories and mapped by ICT technologies and concepts to sustainable development and its goals and ICT development and its concerns.}, Keywords = {component, Sustainable Development, ICT Concerns, Framework.}, volume = {10}, Number = {4}, pages = {61-72}, publisher = {ICT Research Institute(ITRC)}, url = {http://ijict.itrc.ac.ir/article-1-412-en.html}, eprint = {http://ijict.itrc.ac.ir/article-1-412-en.pdf}, journal = {International Journal of Information and Communication Technology Research}, issn = {2251-6107}, eissn = {2783-4425}, year = {2018} }