2024-03-29T17:52:40+04:30
http://ijict.itrc.ac.ir/browse.php?mag_id=8&slc_lang=en&sid=1
International Journal of Information and Communication Technology Research
2251-6107
2783-4425
doi
2016
8
2
Learning Motion Patterns in Traffic Scenes by Improved Group Sparse Topical Coding
Parvin
Ahmadi
Iman
Gholampour
Mahmoud
Tabandeh
Analyzing motion patterns in traffic videos can directly lead to generate some high-level descriptions of the video content. In this paper, an unsupervised method is proposed to automatically discover motion patterns occurring in traffic video scenes. For this purpose, based on optical flow features extracted from video clips, an improved Group Sparse Topical Coding (GSTC) framework is applied for learning semantic motion patterns. Then, each video clip can be sparsely represented by a weighted sum of learned patterns which can further be employed in very large range of applications. Compared to the original GSTC, the proposed improved version of GSTC selects only a small number of relevant words for each topic and hence provides a more compact representation of topic-word relationships. Moreover, in order to deal with large-scale video analysis problems, we present an online algorithm for improved GSTC which can not only deal with large video corpora but also dynamic video streams. Experimental results show that our proposed approach finds the motion patterns accurately and gives a meaningful representation for the video.
Motion patterns
Group Sparse Topical Coding
traffic scene
2016
6
01
1
7
http://ijict.itrc.ac.ir/article-1-65-en.pdf
International Journal of Information and Communication Technology Research
2251-6107
2783-4425
doi
2016
8
2
A New Electronic Cash Protocol Using a Modified ElGamal and an Untraceable Signature Scheme
Ali
Zaghian
Mohsen
Mansouri
In this paper, a new transaction protocol based on electronic cash using a modified ElGamal signature and a secure blind signature scheme is proposed. With the extension of untraceable electronic cash, a fair transaction protocol is designed which can maintain anonymity and double spender detection and attaches expiration date to coins so that the banking system can manage its databases more efficiently. The security of the system is based on discrete logarithm problem and factoring problem.Also our protocol has better performance than similar protocols. So the new protocol is very efficient.
digital signature
blind signature
ElGamal digital signature
RSA
electronic payment system
electronic voting system
2016
6
01
9
14
http://ijict.itrc.ac.ir/article-1-66-en.pdf
International Journal of Information and Communication Technology Research
2251-6107
2783-4425
doi
2016
8
2
DDoS Traffic Modeling, Identification and Attack Mitigation to Cloud Hosted servers by Drift plus Penalty methods
Ahmad
Salahi
During DDoS attack to a cloud hosted server, to counter the attack, more resources should be assigned to it. In this paper we first develop a mathematical formula for input packet rate during DDoS attack, and propose a method to identify the botnet that created the attack. We introduce two algorithms for resource assignments to protect cloud hosted servers. The drift plus penalty algorithm minimizes the average cost of resource assignment, and stabilizes the queue size. The modified version of this algorithm is drift plus extended penalty, which minimizes the average cost and compensate penalty function by considering delay.
DDoS generated traffic modeling
Cloud computing
Drift plus penalty
Drift plus extended penalty
Dynamic resource allocation
2016
6
01
15
21
http://ijict.itrc.ac.ir/article-1-67-en.pdf
International Journal of Information and Communication Technology Research
2251-6107
2783-4425
doi
2016
8
2
An Architecture for a Mobile Recommender System in Tourism
Monireh
Hosseini
Seyed Mohammad Reza
Mousavi
Forough
Zolrahmi
During the last decade, scholars have paid a lot of attention to the Mobile Recommender Systems in tourism industry. With reducing information overload and narrowing the results according to tourists' characteristics and conditions, these systems lead to the development of tourism industry. These recommendations are in the form of multimedia contents, context-aware services, comments and points of peer users, travel schedule and etc. Recent advances in mobile and computing technologies has created more opportunities for detailed and personal recommendations, through historical and contextual parameters. This paper studies Recommender System's models and techniques in order to propose a new architecture for a Recommender System in tourism. The proposed architecture uses hybrid filtering technique, contextual information of the user, and Model-View-Controller architecture. Also our proposed architecture covers many gaps in previous studies. After that, the design and implementation of a mobile phone application associated with this architecture was examined. Based on The 3-layered Model-View-Controller architecture and Client-Server architecture, its development has taken place. In addition to location and map services using Google Maps API, place suggestion services are offered to users, that here, a private host and domain is used.
Recommender Systems
Mobile tourism
Hybrid filtering
Model View Controller architecture
Personalization
2016
6
01
23
31
http://ijict.itrc.ac.ir/article-1-68-en.pdf
International Journal of Information and Communication Technology Research
2251-6107
2783-4425
doi
2016
8
2
Hybrid of Evolutionary and Swarm Intelligence Algorithms for Prosody Modeling in Natural Speech Synthesis
Mansour
Sheikhan
To reduce the number of input features to a prosody generator in natural speech synthesis application, a hybrid of an evolutionary algorithm and a swarm intelligence-based algorithm is used for feature selection (FS) in this study. The input features to FS unit are word-level and syllable-level linguistic features. The word-level features include punctuation information, part-of-speech tags, semantic indicators, and length of the words. The syllable-level features include the phonemic structure and position indicator of the current syllable in a word. A modified Elman-type dynamic neural network (DNN) is used for prosody generation in this study. The output layer of this DNN provides prosody information at the syllable-level including pitch contour, log-energy level, duration information, and pause data. Simulation results show that the prosody information is predicted with an acceptable error by this hybrid soft-computing method as compared to Elman-type neural network prosody generator and binary gravitational search algorithm-based FS unit.
speech synthesis
genetic algorithm
ant colony optimization
neural network
prosody
2016
6
01
33
44
http://ijict.itrc.ac.ir/article-1-69-en.pdf
International Journal of Information and Communication Technology Research
2251-6107
2783-4425
doi
2016
8
2
QC-LDPC Codes Construction by Concatenating of Circulant Matrices as Block-Columns
Mohammad Hesam
Tadayon
Mohammad
Mohammadi
In this paper a new low complexity method for constructing binary quasi-cyclic low-density parity-check (QC-LDPC) codes is introduced. In the proposed method, each block-column of the parity check matrix H is made by a circulant matrix in a way that the associated Tanner graph is free of cycle four. Each circulant matrix in H is made by a generator column. The generator columns should be selected in a way that each associated circulant matrix and every two distinct circulant matrices are free of cycle four. The generator columns are made by row distance sets. An algorithm for generating distance sets and obtaining circulant matrices with columns of weight three is presented separately. Simplicity of construction and having a good flexible family of quasi cyclic LDPC codes both in rate and length are the main properties of the proposed method. The performance of the proposed codes is compared with that of the random-like and Array LDPC codes over an AWGN channel. Simulation results show that from the performance perspective, the constructed codes are competitive with random-like and Array LDPC codes.
QC-LDPC codes
girth
circulant matrices
AWGN channel
concatenation
2016
6
01
45
50
http://ijict.itrc.ac.ir/article-1-64-en.pdf
International Journal of Information and Communication Technology Research
2251-6107
2783-4425
doi
2016
8
2
A New Hybrid Collaborative Recommender Using Semantic Web Technology and Demographic data
Faezeh Sadat
Gohari
Mohammad Jafar
Tarokh
Recommender systems are gaining a great importance with the emergence of E-commerce and business on the internet. Collaborative Filtering (CF) is one of the most promising techniques in recommender systems. It uses the known preferences of a group of users to make recommendations for other users. Regardless of its success in many application domains, CF has main limitations such as sparsity, scalability and new user/item problems. As new direction, semantic-based recommenders have emerged that deal with the semantic information of items. Such systems can improve the performance of classical CF by allowing the recommender system to make inferences based on an additional source of knowledge. Moreover, the incorporation of demographic data in recommender systems can help to improve the quality of recommendations. In this paper, we present a new hybrid CF approach that exploits Semantic Web Technology as well as demographic data to alleviate all the problems mentioned above. The experimental results on the MovieLens dataset verify the effectiveness and efficiency of our approach over other benchmarks.
recommender system
collaborative filtering
semantic Web
demographic data
e-commerce
2016
6
01
51
61
http://ijict.itrc.ac.ir/article-1-70-en.pdf