The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Discriminating Distributed Denial of Service (DDoS) from Flash Crowds (FC) is a tough and challenging problem, because there are many similarities between each other existed in network layer. In this paper, according to an extensive analysis of user traffic behavior of DDoS and FC, it can be found that some traffic abnormalities are existed between Bots and legitimate users. So a behavior-based method...
Simulation speed is crucial in virtual platforms, in order to enhance the design flow with early validation and design space exploration. This work tackles this challenge by focusing on two main techniques for speeding up virtual platform simulation, namely efficient data types implementation and a novel scheduling technique. Both the optimizations are obtained through code manipulation. The target...
Short-term traffic prediction provides tools for improved road management by allowing the reduction of delays, incidents and other unexpected events. Different real-time approaches provide traffic managers with varying but valuable information. This paper reviews the literature regarding model-driven and data-driven approaches focusing on short-term realtime traffic prediction. We start by analyzing...
In this paper we focus on the Job Shop Scheduling Problem (JSSP) using Priority Dispatching Rules. Simulation model for makespan optimization is proposed using different Dispatching Rules (DR) for each machine in the shop floor. Collected results are used for learning base construction. This database will be used to develop an inference model able to select the best DR for every new scheduling problem...
This paper investigates how data mining can be applied in functional debug, which is formulated as the problem of explaining a functional simulation error based on human-understandable machine states. We present a rule discovery methodology comprising two steps. The first step selects relevant state variables for constructing the mining dataset. The second step applies rule learning to extract rules...
Decision making processes in some contexts, such as construction of infrastructures, require the design of prospective experiments. These experiments are designed to test hypothesis raised in the design phase. Following an adaptive methodology, these experiments will feed new iterations. In many cases, the development of these experiments is so costly that they must be performed using simulators....
The research presented in this paper offers a way of supporting the security currently in place in critical infrastructures by using behavioural observation to add to the Defence in Depth (DiD). Our approach is proactive and continually looks to identify patterns or behaviour, which is out of place in the ordinary operations of the infrastructure. As this work demonstrates, applying behavioural observation...
This paper shows the application of statistics techniques, simulation and optimization methods for data - based scheduling production. The software of this methods, allows us to analyze the process construction rules for many variants reflecting a variety of combination other factors. For the analysis of the production process the greedy randomized adaptive search procedure (GRASP) and simulation...
As high performance computing approaches exascale, CPU capability far outpaces disk write speed, and in situ visualization becomes an essential part of an analyst's workflow. In this paper, we describe the ParaView Coprocessing Library, a framework for in situ visualization and analysis coprocessing. We describe how coprocessing algorithms (building on many from VTK) can be linked and executed directly...
Traditional rough set of noise data, the lack of adaptability, lack of flexibility or robustness, for the engineering data can not distinguish between equivalence classes of edge region of overlap with the collection, resulting in loss of many valuable engineering information. Strong noise in the actual engineering data over-fitting due to reduced ability to distinguish the object, its limitations...
Data mining is an important tool in knowledge discovery. It aims at discovering the valuable patterns hidden in large volume of data. In a distributed environment, the main problem we need to consider for data mining is how to transfer the minimal amount of data and provide maximum sharing of information with the continued expansion of business scale and constant update of services content. For high-dimensional...
The relationship between parameter configurations of mechanical products are the main design rules that affect their work performance and the major factor that optimize product structure. However, the actual relationship of parameter configurations can't be gotten directly in the design specifications or the manual. Physical experimental methods are difficult to implement due to long cycle and high...
In cyber-physical systems (CPSs), embedded computing systems and communication capability are used to streamline and fortify the operation of a physical system. Intelligent critical infrastructure systems are among the most important CPSs and also prime examples of pervasive computing systems, as they exploit computing to provide "anytime, anywhere" transparent services. The existing body...
The focus of this work is to promote the semantic data integration for virtual production systems. The phase of product-planning usually requires a huge range of numerical simulations that are used by different departments of a company. To increase productivity on the one hand and reduce complexity of simulation chains on the other hand, it is essential to be able to integrate the differing data of...
The integrative approach of systems biology promises a better understanding of complex phenotypes such as cardiovascular disease, diabetes or chronic obstructive pulmonary disease (COPD). It aims to interconnect current knowledge with experimental data, in-silico analysis and simulation. To this end the existing knowledge must be semantically integrated in a single environment and dynamically organised...
To specify dataflow applications efficiently is one of the greatest challenges facing Network-on-Chip (NoC) simulation and exploration. BTS (Behavior-level Traffic Simulation) was proposed to specify behavior-level applications more efficiently than conventional message-passing programming model does. To alleviate the complexity in parallel programming, BTS has the computation tasks implemented as...
Cellular automata (CA) has been increasingly used to simulate complex urban system, but urban land price is usually not considered in the simulation. This research selected Shijiazhuang city as study area and established city scale expansion model under restriction of land price. Through geometric correction, band combination and unsupervised classification of Landsar TM data using ERDAS 8.7 software,...
This research aims at the bus holding strategies for the simulation of mass rapid transit (MRT) transferring system in a terminal station with platform constraints for bus in the metropolitan area. We developed and evaluated the transfer system through computer simulation models for MRT with bus system that the goals of bus holding strategies in the model were: reduce bus waiting time, reduce passengers...
Numerous modeling and simulation software products have been developed in the last decades. Most of them have been created from scratch, often dedicated to single formalisms, single simulation algorithms, hardware platforms, or applications. But nevertheless each of these software products has to follow principles, and it has to contain techniques and elements to be usable for modeling and simulation...
In this paper, it is shown that synthetic images can be used to test specific use cases of a lane tracking algorithm which has been developed by Audi AG. This was achieved by setting up a highly configurable and extendable simulation framework ldquovirtual test driverdquo. The main components are a traffic simulation, visualization and a sensor model which supplies ground truth data about the street...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.