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AN OVERVIEW OF ROUTER ARCHITECTURE FOR NETWORK ON CHIP
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Farhina T Ansari, Bharati B Sayankar
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As the scale of integration goes on increasing, it is desirable to have efficient communication strategies for System on Chip (SoC). Network on Chip (NoC) is new paradigm shift from conventional bus based communication to on chip communication. It provides the features such as flexibility, scalability, low power consumption and better performance in comparision with traditional interconnect architecture. The most important part of Network on Chip (NoC) is router design which is responsible to transmit message form source point to destination point. Different packet switching techniques have been proposed for on chip router structure. This paper gives brief review of router structure for on chip communication...
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DETECTION OF UNKNOWN MALICIOUS CODE BY IMPLEMENTATION OF CLASSIFICATION TECHNIQUES ON MACHINE LANGUAGE INSTRUCTION PATTERNS
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K Phalguna Rao, Ashish B Sasankar, Vinay Chavan
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In previous studies classification algorithms were employed successfully for the detection of unknown malicious code. Most of these studies extracted features based on byte n-gram patterns in order to represent the inspected files. In this study we represent the inspected files using MLI n-gram patterns which are extracted from the files after disassembly. The MLI n-gram patterns are used as features for the classification process. The classification process main goal is to detect unknown malware within a set of suspected files which will later be included in antivirus software as signatures. A rigorous evaluation was performed using a test collection comprising of more than 36,500 files, in which various settings of MLI n-gram patterns of various size representations and eight types of classifiers were evaluated. A typical problem of this domain is the imbalance problem in which the distribution of the classes in real life varies. It has been observed that class imbalance may produce an important deterioration of the performance achieved by existing learning and classification systems. This situation is often found in real-world data describing infrequent but important cases. We investigated the imbalance problem, referring to several real-life scenarios in which malicious files are expected to be about 15% of the total inspected files. Lastly, we present a chronological evaluation in which the frequent need for updating the training set was evaluated. Evaluation results indicate that the evaluated methodology achieves a level of accuracy higher. Which slightly improves the results in previous studies that use byte n-gram representation?...
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REAL-TIME COMMUNICATIONS IN AUTONOMIC NETWORKS: SYSTEM IMPLEMENTATION AND PERFORMANCE EVALUATION
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C Tselios, C Papageorgiou, K Birkos, I Politis, T Dagiuklas
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This paper describes the design and prototype implementation of a communication platform aiming to provide voice and video
communication in a distributed networking environment. Performance considerations and network characteristics have also been
taken into account in order to provide the set of properties dictated by the sensitive nature and the real-time characteristics of
the targeted application scenarios. The proposed system has been evaluated both by experimental means as well as subjective
tests taken by an extensive number of users. The results show that the proposed platform operates seamlessly in two hops, while
in the four hops scenario, audio and video are delivered with marginal distortion. The conducted survey indicates that the user
experience in terms of Quality of Service has obtained higher scores in the scenario with the two hops....
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ENHANCING EXISTING COMMUNICATION SERVICES WITH CONTEXT AWARENESS
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Bachir Chihani, Emmanuel Bertin, Irsalina Salsabila Suprapto, Julien Zimmermann, Noel Crespi
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Context aware communication services rely on information sources and sensors, to derive users’ current situation and potential
needs, and to adapt their communication services accordingly. If extensive studies have been driven on context awareness by
industrials and researchers from academia, the design of such systems without modifying uses and manners of underlying
communication services—while keeping them simple, intuitive, and reactive—remains a challenge. In this work, we introduce
a context aware communication system that takes into account user’s preferences, workload, and situation to customize telephony
services. In this implementation, we use IMS for communication management. The benefits of this implementation are the
enhancement of IMS with context awareness features, and the coupling of user preferences with contextual information to provide
improved service customization, without modifying the user experience....
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COGNITIVE CODE-DIVISION CHANNELIZATION WITH ADMISSION CONTROL
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Kanke Gao, Onur Ozdemir, Dimitris A Pados, Stella N Batalama, Tommaso Melodia, Andrew L Drozd
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We consider the problem of joint resource allocation and admission control in a secondary code-division network coexisting with a
narrowband primary system. Our objective is to find the maximum number of admitted secondary links and then find the optimal
transmitting powers and code sequences of those secondary links such that the total energy consumption of the secondary network
is minimized subject to the conditions that primary interference temperature constraints, secondary signal-to-interference-plusnoise
ratio (SINR) constraints and secondary peak power constraints are all satisfied. This is an NP-hard optimization problem
which motivates the development of suboptimal algorithms. We propose a novel iterative algorithm to solve this problem in a
computationally efficient manner. Numerical results demonstrate that the proposed algorithm provides excellent solutions that
result in high energy efficiency and large admitted percentage of secondary links....
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