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    Transportation Problem of Hub Network with Direct Links

    , M.Sc. Thesis Sharif University of Technology Shakeri, Hamed (Author) ; Haji, Rasoul (Supervisor)
    Abstract
    Hub and Spoke networks come into play when considering direct link between all origins and destinations is either impossible or expensive in a transportation system. In this kind of problems, some nodes are chosen as hub from all origin and destination nodes to collect flows and then distribute them. Implementing hub network leads to minimizing transportation cost, sorting flows and conveying them in economies of scale. Otherwise, shipping flows directly may cause decreasing the travelling distance and the delivery time consequently. In this dissertation, combination of hub network and direct shipment is investigated. To obtain the optimal hub locations and direct links between non-hub nodes... 

    Punishment Normative Systems

    , M.Sc. Thesis Sharif University of Technology Feghhi, Saman (Author) ; Ramezanian, Rasoul (Supervisor)
    Abstract
    In real life, we can not always expect agents and authorities to have the same desires. Also when it comes to conflicts, agents always tend to break the authorities’ norms to follow their own strategies. Hence we can not expect strict norms to model an actual real life situation.In this article we introduce punishment normative systems, based on multi-agent Marokov chain processes (MMDPs). We try to extend the punishment idea to be also applicable on long-run and infinite strategies. We consider a version of the multi-agent model that is widely used in different situations and then provide an algorithm to find a fair normative system that distributes obligations equally on the agents, while... 

    Developing Inventory Control Policies with No Ordering Costs in Two-Echelon Supply Chains

    , Ph.D. Dissertation Sharif University of Technology Tayebi, Hamed (Author) ; Haji, Rasoul (Supervisor)
    Abstract
    This dissertation attempts to develop four inventory control models for two-echelon supply chains. For the all models, the retailers face Poisson demand and lost sales during a stockout. There is also a time-dependent holding cost and a cost per unit of lost sales. However, there is no (or negligible) cost associated with placing an order.
    For the first model, we consider a two-echelon inventory system with one central warehouse and a number of retailers. The central warehouse applies (R, Q) policy and retailers apply base stock policy. In this model, we approximate the arrival process of the central warehouse and obtain the total cost of the system, as well as the optimal solution.... 

    Multi-Objective Production Planning and Job Shop Scheduling

    , M.Sc. Thesis Sharif University of Technology Rabiee, Marzie (Author) ; Haji, Rasoul (Supervisor)
    Abstract
    Production scheduling is such a key issue that directly influences on the performance of the machines and efficiency of production line. This category of problems is to find simultaneously the lot sizes and their sequence over a finite set of planning periods.
    In this Thesis a multi objective production planning and job shop scheduling problem is investigated. The objectives are minimization of the production cost and minimization of production time smoothness in consecutive periods. As the problem is shown to be NP-hard, two multi-objectives genetic algorithms with two approaches in selection of parents and crowding distance index are proposed to solve this problem. In these two meta... 

    Optimum Ordering Policy in Vendor Managed Inventory (VMI) with Discrete Demand and Backorder

    , M.Sc. Thesis Sharif University of Technology Mofidi, Shahab (Author) ; Haji, Rasoul (Supervisor)
    Abstract
    This research deals with a supply chain consisting of one vendor and several retailers. Every retailer orders a fixed discrete quantity in fixed discrete time intervals. Order quantity and order cycle of each retailer could be different from the others. The vendor orders the required quantity to a supplier to fulfill the received demands. Also the vendor orders a discrete quantity, which will be immediately received at the vendor’s warehouse. In this supply chain system, the lead-time is assumed to be zero and shortage is allowed for vendor. The aim is to find minimum vendor’s inventory cost. We proposed a backward Dynamic Programming algorithm for the model. The algorithm creates vendor’s... 

    Automated Negotiation in Electronic Commerce

    , M.Sc. Thesis Sharif University of Technology Mehri, Hamideh (Author) ; Ramezanian, Rasoul (Supervisor)
    Abstract
    Extensive growth of the internet has had a profound effect on the business environment and rise to a phenomenon known as electronic commerce.electronic commerce has an important role in improvement of organization performance and likewise,has influence in everyday life.despite its name,e commerce is not fully automated.typically,online transactions require a significant level of human intervention.to achieve high degree of automation,we need a new model of software.this model is based upon the notion of agents.agents can act in different stages of e-commerce.one of the most important of these stages is negotiation.negotiation capabilities are essential for e-commerce systems.the agents... 

    A compression-based morphable PCM architecture for improving resistance drift tolerance

    , Article Proceedings of the International Conference on Application-Specific Systems, Architectures and Processors ; 18-20 June , 2014 , pp. 232-239 ; ISSN: 10636862 ; ISBN: 9781479936090 Jalili, M ; Sarbazi-Azad, H
    2014
    Abstract
    Due to the growing demand for large memories, using emerging technologies such as Phase Change Memories (PCM) are inevitable. PCM with appropriate scalability, power consumption and multiple bits per cell storage capability is a probable candidate for substituting DRAM. Although storing multiple bits per cell seems to be a rational response to large memory demands, there is a significant problem to achieve this goal. Resistance drift problem is an important reliability concern that is coupled to a multi-level cell PCM (MLC PCM) memory system. In this paper, we propose a memory system architecture that, by exploiting the benefits of compression, converts resistance drift prone blocks to drift... 

    Design Patterns for Agent-Oriented Software Engineering, and Formalizing Design Patterns

    , M.Sc. Thesis Sharif University of Technology Rahmani, Hazhar (Author) ; Ramezanian, Rasoul (Supervisor)
    Abstract
    Agent-Oriented Software Engineering is one of the novel and growing paradigms in computer science, which provides systematic approaches for analysis, designing, implementation and maintenance of multi-agent systems. Agents are the main entities of the agent-oriented software systems. Agents are autonomous and behave flexibly and intelligently. This paradigm is appropriate for developing open, complex, flexible and distributed systems. Design pattern is a general reusable solution to a commonly occurring problem within a specific context in software design. Using patterns in software design has many benefits such as increasing the quality and robustness of the software. Regarding the fact... 

    Synchronizability of complex networks with community structure

    , Article International Journal of Modern Physics C ; Volume 23, Issue 4 , April , 2012 ; 01291831 (ISSN) Jalili, M ; Sharif University of Technology
    2012
    Abstract
    Many real-world networks show community structure characterized by dense intra-community connections and sparse inter-community links. In this paper we investigated the synchronization properties of such networks. In this work we constructed such networks in a way that they consist of a number of communities with scale-free or small-world structure. Furthermore, with a probability, the intra-community connections are rewired to inter-community links. Two synchronizability measures were considered as the eigenratio of the Laplacian matrix and the phase order parameter obtained for coupled nonidentical Kuramoto oscillators. We found a power-law relation between the eigenratio and the... 

    Collective behavior of interacting locally synchronized oscillations in neuronal networks

    , Article Communications in Nonlinear Science and Numerical Simulation ; Volume 17, Issue 10 , 2012 , Pages 3922-3933 ; 10075704 (ISSN) Jalili, M ; Sharif University of Technology
    Elsevier  2012
    Abstract
    Local circuits in the cortex and hippocampus are endowed with resonant, oscillatory firing properties which underlie oscillations in various frequency ranges (e.g. gamma range) frequently observed in the local field potentials, and in electroencephalography. Synchronized oscillations are thought to play important roles in information binding in the brain. This paper addresses the collective behavior of interacting locally synchronized oscillations in realistic neural networks. A network of five neurons is proposed in order to produce locally synchronized oscillations. The neuron models are Hindmarsh-Rose type with electrical and/or chemical couplings. We construct large-scale models using... 

    A simple consensus algorithm for distributed averaging in random geographical networks

    , Article Pramana - Journal of Physics ; Volume 79, Issue 3 , August , 2012 , Pages 493-499 ; 03044289 (ISSN) Jalili, M ; Sharif University of Technology
    2012
    Abstract
    Random geographical networks are realistic models for wireless sensor networks which are used in many applications. Achieving average consensus is very important in sensor networks and the faster the consensus is, the durable the sensors' life, and thus, the better the performance of the network. In this paper we compared the performance of a number of linear consensus algorithms with application to distributed averaging in random geographical networks. Interestingly, the simplest algorithm - where only the degree of receiving nodes is needed for the averaging - had the best performance in terms of the consensus time. Furthermore, we proved that the network has guaranteed convergence with... 

    Failure tolerance of spike phase synchronization in coupled neural networks

    , Article Chaos (Woodbury, N.Y.) ; Volume 21, Issue 3 , 2011 , Pages 033126- ; 10897682 (ISSN) Jalili, M ; Sharif University of Technology
    2011
    Abstract
    Neuronal synchronization plays an important role in the various functionality of nervous system such as binding, cognition, information processing, and computation. In this paper, we investigated how random and intentional failures in the nodes of a network influence its phase synchronization properties. We considered both artificially constructed networks using models such as preferential attachment, Watts-Strogatz, and Erdo{combining double acute accent} s-Rényi as well as a number of real neuronal networks. The failure strategy was either random or intentional based on properties of the nodes such as degree, clustering coefficient, betweenness centrality, and vulnerability. Hindmarsh-Rose... 

    Failure tolerance of spike phase synchronization in coupled neural networks

    , Article Chaos ; Volume 21, Issue 3 , 2011 ; 10541500 (ISSN) Jalili, M ; Sharif University of Technology
    2011
    Abstract
    Neuronal synchronization plays an important role in the various functionality of nervous system such as binding, cognition, information processing, and computation. In this paper, we investigated how random and intentional failures in the nodes of a network influence its phase synchronization properties. We considered both artificially constructed networks using models such as preferential attachment, Watts-Strogatz, and Erdos-Rényi as well as a number of real neuronal networks. The failure strategy was either random or intentional based on properties of the nodes such as degree, clustering coefficient, betweenness centrality, and vulnerability. Hindmarsh-Rose model was considered as the... 

    Multivariate Synchronization Analysis of Brain Electroencephalography Signals: A Review of Two Methods

    , Article Cognitive Computation ; Volume 7, Issue 1 , February , 2013 , Pages 3-10 ; 18669956 (ISSN) Jalili, M ; Sharif University of Technology
    Springer New York LLC  2013
    Abstract
    Temporal synchronization of neuronal activity plays an important role in various brain functions such as binding, cognition, information processing, and computation. Patients suffering from disorders such as Alzheimer’s disease or schizophrenia show abnormality in the synchronization patterns. Electroencephalography (EEG) is a cheap, non-invasive, and easy-to-use method with fine temporal resolution. Modern multichannel EEG data are increasingly being used in brain studies. Traditional approaches for identifying synchronous activity in EEG are through univariate techniques such as power spectral density or bivariate techniques such as coherence. In this paper, we review two methods for... 

    Growing highly synchronizable scale-free networks

    , Article EPL ; Volume 101, Issue 6 , 2013 ; 02955075 (ISSN) Jalili, M ; Sharif University of Technology
    2013
    Abstract
    In this letter, a model for growing highly synchronizable networks is introduced. The model is based on preferential attachment in which the new nodes tip to old ones in a way to maximize the synchronization properties of the network. Criteria based on the eigenvectors corresponding to the second smallest and the largest eigenvalues of the Laplacian matrix of the connection graph were used to choose the old nodes to which a new node makes connection. Numerical simulations showed that these networks have considerably lower eigenratio (the largest eigenvalue of the Laplacian divided by the second smallest one), and hence better synchronizability, as compared to standard Barabási-Albert (BA)... 

    Social power and opinion formation in complex networks

    , Article Physica A: Statistical Mechanics and its Applications ; Volume 392, Issue 4 , 2013 , Pages 959-966 ; 03784371 (ISSN) Jalili, M ; Sharif University of Technology
    2013
    Abstract
    In this paper we investigate the effects of social power on the evolution of opinions in model networks as well as in a number of real social networks. A continuous opinion formation model is considered and the analysis is performed through numerical simulation. Social power is given to a proportion of agents selected either randomly or based on their degrees. As artificial network structures, we consider scale-free networks constructed through preferential attachment and Watts-Strogatz networks. Numerical simulations show that scale-free networks with degree-based social power on the hub nodes have an optimal case where the largest number of the nodes reaches a consensus. However, given... 

    Spike phase synchronization in delayed-coupled neural networks: Uniform vs. non-uniform transmission delay

    , Article Chaos ; Volume 23, Issue 1 , 2013 ; 10541500 (ISSN) Jalili, M ; Sharif University of Technology
    2013
    Abstract
    In this paper, we investigated phase synchronization in delayed dynamical networks. Non-identical spiking Hindmarsh-Rose neurons were considered as individual dynamical systems and coupled through a number of network structures such as scale-free, Erdos-Rényi, and modular. The individual neurons were coupled through excitatory chemical synapses with uniform or distributed time delays. The profile of spike phase synchrony was different when the delay was uniform across the edges as compared to the case when it was distributed, i.e., different delays for the edges. When an identical transmission delay was considered, a quasi-periodic pattern was observed in the spike phase synchrony. There... 

    Synchronizability of dynamical scale-free networks subject to random errors

    , Article Physica A: Statistical Mechanics and its Applications ; Volume 390, Issue 23-24 , 2011 , Pages 4588-4595 ; 03784371 (ISSN) Jalili, M ; Sharif University of Technology
    2011
    Abstract
    In this paper the robustness of network synchronizability against random deletion of nodes, i.e. errors, in dynamical scale-free networks was studied. To this end, two measures of network synchronizability, namely, the eigenratio of the Laplacian and the order parameter quantifying the degree of phase synchrony were adopted, and the synchronizability robustness on preferential attachment scale-free graphs was investigated. The findings revealed that as the network size decreases, the robustness of its synchronizability against random removal of nodes declines, i.e. the more the number of randomly removed nodes from the network, the worse its synchronizability. We also showed that this... 

    Phase synchronizing in Hindmarsh-Rose neural networks with delayed chemical coupling

    , Article Neurocomputing ; Volume 74, Issue 10 , 2011 , Pages 1551-1556 ; 09252312 (ISSN) Jalili, M ; Sharif Unversity of Technology
    2011
    Abstract
    Although diffusive electrical connections in neuronal networks are instantaneous, excitatory/inhibitory couplings via chemical synapses encompass a transmission time-delay. In this paper neural networks with instantaneous electrical couplings and time-delayed excitatory/inhibitory chemical connections are considered and scaling of the spike phase synchronization with the unified time-delay in the network is investigated. The findings revealed that in both excitatory and inhibitory chemical connections, the phase synchronization could be enhanced by introducing time-delay. The role of the variability of the neuronal external current in the phase synchronization is also investigated. As... 

    Enhancing synchronizability of diffusively coupled dynamical networks: A survey

    , Article IEEE Transactions on Neural Networks and Learning Systems ; Volume 24, Issue 7 , March , 2013 , Pages 1009-1022 ; 2162237X (ISSN) Jalili, M ; Sharif University of Technology
    2013
    Abstract
    In this paper, we review the literature on enhancing synchronizability of diffusively coupled dynamical networks with identical nodes. The last decade has witnessed intensive investigations on the collective behavior over complex networks and synchronization of dynamical systems is the most common form of collective behavior. For many applications, it is desired that the synchronizability - the ability of networks in synchronizing activity of their individual dynamical units - is enhanced. There are a number of methods for improving the synchronization properties of dynamical networks through structural perturbation. In this paper, we survey such methods including adding/removing nodes...