The Experts below are selected from a list of 38331 Experts worldwide ranked by ideXlab platform

Jill Slay - One of the best experts on this subject based on the ideXlab platform.

  • wireless forensic analysis tools for use in the electronic evidence Collection Process
    Hawaii International Conference on System Sciences, 2007
    Co-Authors: Benjamin Turnbull, Jill Slay
    Abstract:

    This paper discusses the need for both a series of electronic tools and procedural changes to the evidence Collection Process to accommodate the possibilities of wireless technologies. 802.11-based wireless technologies in particular pose an issue to the Collection of electronic evidence, as devices that appear isolated may be tirelessly accessed during the Collection phase, leading to after-seizure communications and a tampering of evidence in custody. Whilst forensic acquisition and analysis procedural guides are yet to discuss the acquisition of wireless devices, one of the core issues in collecting wireless devices is that there is no indication for the number or type of devices connected to a wireless network, should one exist in an area of interest. It is proposed that a series of forensic software tools be developed to aid in the detection, analysis and control of wireless networks that are in the Process of being seized for forensic analysis. Through control of the wireless medium, information regarding connected devices may be gathered and methods to prevent communication between devices during and after evidence seizure are also examined

  • HICSS - Wireless Forensic Analysis Tools for Use in the Electronic Evidence Collection Process
    2007 40th Annual Hawaii International Conference on System Sciences (HICSS'07), 2007
    Co-Authors: Benjamin Turnbull, Jill Slay
    Abstract:

    This paper discusses the need for both a series of electronic tools and procedural changes to the evidence Collection Process to accommodate the possibilities of wireless technologies. 802.11-based wireless technologies in particular pose an issue to the Collection of electronic evidence, as devices that appear isolated may be tirelessly accessed during the Collection phase, leading to after-seizure communications and a tampering of evidence in custody. Whilst forensic acquisition and analysis procedural guides are yet to discuss the acquisition of wireless devices, one of the core issues in collecting wireless devices is that there is no indication for the number or type of devices connected to a wireless network, should one exist in an area of interest. It is proposed that a series of forensic software tools be developed to aid in the detection, analysis and control of wireless networks that are in the Process of being seized for forensic analysis. Through control of the wireless medium, information regarding connected devices may be gathered and methods to prevent communication between devices during and after evidence seizure are also examined

Benjamin Turnbull - One of the best experts on this subject based on the ideXlab platform.

  • wireless forensic analysis tools for use in the electronic evidence Collection Process
    Hawaii International Conference on System Sciences, 2007
    Co-Authors: Benjamin Turnbull, Jill Slay
    Abstract:

    This paper discusses the need for both a series of electronic tools and procedural changes to the evidence Collection Process to accommodate the possibilities of wireless technologies. 802.11-based wireless technologies in particular pose an issue to the Collection of electronic evidence, as devices that appear isolated may be tirelessly accessed during the Collection phase, leading to after-seizure communications and a tampering of evidence in custody. Whilst forensic acquisition and analysis procedural guides are yet to discuss the acquisition of wireless devices, one of the core issues in collecting wireless devices is that there is no indication for the number or type of devices connected to a wireless network, should one exist in an area of interest. It is proposed that a series of forensic software tools be developed to aid in the detection, analysis and control of wireless networks that are in the Process of being seized for forensic analysis. Through control of the wireless medium, information regarding connected devices may be gathered and methods to prevent communication between devices during and after evidence seizure are also examined

  • HICSS - Wireless Forensic Analysis Tools for Use in the Electronic Evidence Collection Process
    2007 40th Annual Hawaii International Conference on System Sciences (HICSS'07), 2007
    Co-Authors: Benjamin Turnbull, Jill Slay
    Abstract:

    This paper discusses the need for both a series of electronic tools and procedural changes to the evidence Collection Process to accommodate the possibilities of wireless technologies. 802.11-based wireless technologies in particular pose an issue to the Collection of electronic evidence, as devices that appear isolated may be tirelessly accessed during the Collection phase, leading to after-seizure communications and a tampering of evidence in custody. Whilst forensic acquisition and analysis procedural guides are yet to discuss the acquisition of wireless devices, one of the core issues in collecting wireless devices is that there is no indication for the number or type of devices connected to a wireless network, should one exist in an area of interest. It is proposed that a series of forensic software tools be developed to aid in the detection, analysis and control of wireless networks that are in the Process of being seized for forensic analysis. Through control of the wireless medium, information regarding connected devices may be gathered and methods to prevent communication between devices during and after evidence seizure are also examined

Douglas G Altman - One of the best experts on this subject based on the ideXlab platform.

Chuguang Zheng - One of the best experts on this subject based on the ideXlab platform.

  • a stochastic simulation for the Collection Process of fly ashes in single stage electrostatic precipitators
    Fuel, 2008
    Co-Authors: Haibo Zhao, Chuguang Zheng
    Abstract:

    The dynamic evolution of particle size distribution (PSD) along the longitudinal length of electrostatic precipitator (ESP) quantitatively describes the Collection Process of ESP, and then is capable of estimating the performance of ESP. The details of the evolution of PSD are obtained by the solutions of population balance equation (PBE) for electrostatic Collection. The paper promoted a stochastic method to solve the PBE. The method is based on event-driven technique and introduces the concept of weighted fictitious particles. The halving procedure of number weight of fictitious particle is adopted to restore the statistical samples of the stochastic approach and maintain the computational domain. The method, which is named event-driven constant volume (EDCV) method, is used to simulate the Collection Process of particles in a small-scale single-stage wire-plate ESP, considering simultaneously the electrostatic force, the convection force and the transverse particle diffusion in the model of Collection kernel. The agreement among the results of the Monte Carlo method, the experimental data and the results of method of moments is good.

Ivan Pavlovic - One of the best experts on this subject based on the ideXlab platform.

  • comparison of paper based and electronic data Collection Process in clinical trials costs simulation study
    Contemporary Clinical Trials, 2009
    Co-Authors: Ivan Pavlovic, Tomaž Kern, Damijan Miklavcic
    Abstract:

    An alternative to clinical trial paper-based data Collection (PDC) is internet based electronic data Collection (EDC), where the investigators over the internet enter data directly in the electronic database by themselves. In our study we considered clinical trial as a business Process. Our objective was to model PDC and EDC Process and to estimate the difference of the costs of PDC and EDC Process for a sample clinical trial based on these models. We used Extended Event-driven Process Chains (eEPC) modeling technique to model PDC and EDC Process. In order to evaluate the costs of the Processes we assigned costs functions to each Process function which appears in the model. The parameters which appear in these functions include efforts, staff prices and data quality parameters. We estimated the values of all these parameters and performed costs calculations for a sample clinical trial. Through an analysis and modeling efforts we identified sub-Processes which contain main differences affecting duration and costs of the PDC and EDC Process: data gathering at the research center; monitoring; and data management. The most significant model difference between PDC and EDC Process appeared in data management sub-Process. For the sample clinical trial considered in our simulation study and our parameters estimations the EDC Process decreased data Collection costs for 55%. For different scenarios of parameters variations we show that the EDC Process may bring from 49% to 62% of savings when compared to PDC Process.

  • Reshaping Clinical Trial Data Collection Process to Use the Advantages of the Web-Based Electronic Data Collection
    11th Mediterranean Conference on Medical and Biomedical Engineering and Computing 2007, 1
    Co-Authors: Ivan Pavlovic, I. Lazarevic
    Abstract:

    In this paper some results of modeling web-based clinical trial electronic data Collection Process are presented. Clinical trial data Collection is usually a paper-based Process. Here we propose a new Process of electronic data Collection adjusted for the utilization of the web-based technology. Two models that we present here are the basis for the development of the electronic data Collection software to support clinical trials. The first one defines use cases of the actors using the system. The second one is a model of the structure of the electronic Case Report Form (eCRF) document. Descriptions of these two models at a high level of abstraction are presented using the standard UML (Unified Modeling Language) version 2.0.