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Abstract-this paper presents an interest - based mobility model in order to portray the social property of opportunistic networks. In this model, mobile node and the geographical area is assigned to a multi-dimensional interest vector, and the probability of a region is selected as the moving target by a node is related with the inner product of two interest vectors and geographical distance between...
Eco-Cooperative Adaptive Cruise Control (ECACC) systems are a type of Cooperative Adaptive Cruise Control (CACC) that compute the most fuel-efficient (or near-fuel efficient) vehicle trajectory using available information regarding roadway characteristics, set-speed, upcoming signal changes and interaction with other vehicles. ECACC leverages information transfer between vehicles and infrastructure...
Recently several artificial intelligence labs have suggested the use of fully equipped vehicles with the capability of sensing the surrounding environment to enhance roadway safety. As a result, it is anticipated in the future that many vehicles will be autonomous and thus there is a need to optimize the movement of these vehicles. This paper presents a new tool for optimizing the movements of autonomous...
This paper presents some tests of adaptivity for the AS4DR (Adaptive Scheduling for Distributed Resources) scheduler. The objective of AS4DR is to maximize the CPU use efficiency when executing divisible load applications on heterogeneous distributed memory platforms. Furthermore, this scheduler can operate when the total workload is unknown and when the execution parameters (available communication...
Using Petri Net theory and CPN Tools, independent multi-runway operation model is established based on hierarchy-timed coloured Petri nets. According to this model, the process about aircrafts' running on independent multi-runway is simulated. Considering the influence of former aircraft's wake turbulence on the later one, the model itself could decide whether to change the schedule of the later one...
EPA (Ethernet for Plant Automation) resolves the nondeterministic problem of Ethernet through sub-segment topology and deterministic scheduling mechanism. In this paper, the EPA scheduling mechanism is implemented by simulation tool. And the influence of EPA scheduling mechanism on network performance is shown in the simulation result. According to the study, the real-time performance of EPA periodic...
We extend the mean-field (a.k.a. fluid-analysis) approach for massively-parallel continuous-time Markov chains (CTMCs) to models with both Markovian and deterministically-timed transitions. We introduce a new low-level formalism for specifying massively-parallel models with generally-timed transitions, the population generalised semi-Markov process (PGSMP). We then show how systems of coupled delay...
In multipath channels, paths often arrive in clusters. An early model that exhibits clustering was proposed by Saleh and Valenzuela in 1987, and since then, several extensions have been developed. Although these models are straightforward to simulate, little analysis of them has been carried out. Here, a generalized multipath-cluster channel model is proposed that subsumes the Saleh-Valenzuela model...
Detecting change-points and anomalies on sequential data is common in various domains such as fraud detection for credit cards, intrusion detection for cyber-security or military surveillance [1]. This study is motivated by the predictive maintenance of pneumatic doors in transit buses. For this purpose, buses are instrumented and data are collected through embedded sensors. Inspired by the CUSUM...
In spite of recent advances in Intelligent Transport, vehicular traffic dynamics are still hard to represent and analyze. Most of the previous work on traffic regards highways or single lanes where vehicles interact in one dimension. Models for multi-dimensional vehicle-to-vehicle interactions and models for urban intersections are quite complicated and hardly applicable on a large scale. Nonetheless,...
Traffic is composed of different vehicle classes, each characterized by the vehicle length, the value of time (VOT) and other class-specific properties. Multi-class traffic flow models aim to capture these class-specific differences. In this paper, a multi-class model is appended with a monetary cost framework accounting for the value of time of each vehicle class, thereby enabling the computation...
Cloud Computing (CC) is a technological phenomenon that is becoming more and more important. Also Small and Medium Enterprises (SMEs) can increase their competitiveness by taking advantage of CC. This new computing approach promises to provide many advantages, and many SMEs are encouraged to use it. However, CC is still in its early stage -- for this reason we think that it is very important to study...
Multi-core virtualization platform is an essential basement of modern computing environment including server consolidation and cloud computing. However hidden contention for physical resources between different workloads always causes serious performance interference and thus reduces system performance and efficiency. In order to address this issue, we exploit the possibility of scheduling virtual...
In Vehicular Grid Sensor Network (VGSN), because the operation of individual vehicles and mobile speed and direction, contact between them fragile and unstable. It has multicast links suddenly fail to overcome the problems, so that the message flows to each node, and increase the volume of traffic control. In this paper, we propose a fuzzy-based target tracking scheme that will re-route the link path...
In real world, there are many uncertain conditions which cannot be absolutely pre-determined or controlled by the decision maker. Then, by the empirical experience in the market behavior, there are no fixed carrying cost rate, interest paid rate and interest earned rate. In this paper, we will extend Chen et al. [1] model with fuzzification in the carrying cost rate, interest paid rate and interest...
This paper proposes a practical synchronization algorithm for Transmit-Reference UWB receiver which uses sliding window and supports flexible sampling rates. Additionally, a Simulink model and implementation of synchronization algorithm in receiver by hardware description language (HDL) is also developed using model-based design. Finally, we assess impact of signal-noise-rate (SNR), number of bits...
In this paper, we study the performance of solid-state drives that employ flash technology as storage medium. Our prime objective is to understand how the scheduling of the user-generated read and write commands and the read, write, and erase operations induced by the garbage-collection process affect the basic performance measures throughput and latency. We demonstrate that the most straightforward...
Acoustic feedback is a serious problem in hearing aids. The feedback can result in whistling sound and make people who have severe hearing loss feel terrible. Traditional LMS and normalized LMS algorithm have been studied before, but these algorithms do not provide satisfactory performance for reducing feedback oscillation in hearing aids. So a band-limited NLMS algorithm is proposed. In order to...
Input/Output Buffer Information Specification (IBIS) behavioral models are widely used for circuit-level signal integrity (SI) analysis due to its fast simulation speed and good accuracy. This work presents a tool to generate models of circuits specified by IBIS models. The model generation tool estimates poles, rise time and fall time of a circuit specified by IBIS models. The method consists of...
This paper presents a cached DIMM architecture â" a low-latency and energy-efficient memory system. Two techniques are proposed: the on-DIMM cache and the on-DIMM cache-aware address mapping scheme. These two techniques work together to reduce the memory access latency. Based on the benchmarks considered, our experiments show that compared to a conventional DRAM main memory, the proposed...
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