Due to unexpected network interconnection growth, the security of technological and information infrastructures is becoming difficult to be managed and controlled. In addition, security is becoming more and more cruci...
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Due to unexpected network interconnection growth, the security of technological and information infrastructures is becoming difficult to be managed and controlled. In addition, security is becoming more and more crucial for an organisation's information systems operation. The management of an organisation has to establish rules and regulations in order to face the threats that its information systems face. The network manager is obliged to enforce the regulations that senior management addresses. We propose a framework that a network manager could use in order to effectively enforce security policies. In addition, we present a scalable security management architecture suitable for TCP/IP networks. The communication of systems' logical components is based on the use of the SNMP protocol. Finally, the system includes facilities for collecting and efficiently storing raw and aggregate historical security management information in a temporal database for off-line analysis.
Anti-random testing has proved useful in a series of empirical evaluations. The basic premise of anti-random testing is to choose new test vectors that are as far away from existing test inputs as possible. The distan...
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Anti-random testing has proved useful in a series of empirical evaluations. The basic premise of anti-random testing is to choose new test vectors that are as far away from existing test inputs as possible. The distance measure is the Hamming or Cartesian distance. Unfortunately, this method essentially requires emuneration of the input space and computation of each input vector when used on an arbitrary set of existing test data. This prevents scale-up to a large test sets and/or long input vectors. We present and empirically evaluate a technique to generate anti-random vectors that is computationally feasible for large input vectors and long sequences of tests. We also show how this fast anti-random test generation (FAR) can consider retained state (i.e. effects of subsequent inputs on each other). We evaluate effectiveness using branch coverage as the testing criterion.
Few tools exist for the system-level investigation of the nervous system function, just electroencephalography (EEG), functional brain imaging techniques, and large-scale simulation. Of these, simulation has contribut...
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Few tools exist for the system-level investigation of the nervous system function, just electroencephalography (EEG), functional brain imaging techniques, and large-scale simulation. Of these, simulation has contributed the least to our understanding. We describe the construction and application of a simulation environment that uses visualization as the interface to control and analyze the behavior of spinal reflex circuits. This use of visualization as a primary output for simulation is somewhat unusual, and we find it very powerful. The environment facilitates rapid experimentation because it gives immediate visual feedback on the impact of a change in input, which can be followed by statistical analysis.
In this paper we describe a system that allows the user to rapidly construct program visualizations over a variety of data sources. Such a system is a necessary foundation for using visualization as an aid to software...
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ISBN:
(纸本)0818681896
In this paper we describe a system that allows the user to rapidly construct program visualizations over a variety of data sources. Such a system is a necessary foundation for using visualization as an aid to software understanding. The system supports an arbitrary set of data sources so that information from both static and dynamic analysis can be combined to offer meaningful software visualizations. It provides the user with a visual universal-relation front end that supports the definition of queries over multiple data sources without knowledge of the structure or contents of the sources. It uses a flexible back end with a range of different visualizations, most geared to the efficient display of large amounts of data. The result is a high-quality, easy-to-define program visualization that can address specific problems and hence is useful for software understanding The overall system is flexible and extensible in that both the underlying data model and the set of visualizations am defined in resource files.
We describe a method for the visualization of information units on spherical domains which is employed in the banking industry for risk analysis, stock prediction and other tasks. The system is based on a quantificati...
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ISBN:
(纸本)0818681896
We describe a method for the visualization of information units on spherical domains which is employed in the banking industry for risk analysis, stock prediction and other tasks. The system is based on a quantification of the similarity of related objects that governs the parameters of a mass-spring system. Unlike existing approaches we initialize all information units onto the inner surface of two concentric spheres and attach them with springs to the outer sphere. Since the spring stiffnesses correspond to the computed similarity measures, the system converges into an energy minimum which reveals multidimensional relations and adjacencies in terms of spatial neighborhoods. Depending on the application scenario our approach supports different topological arrangements of related objects. In order to cope with largedata sets we propose a blobby clustering mechanism that enables encapsulation of similar objects by implicit shapes. In addition, we implemented various interaction techniques allowing semantic analysis of the underlying data sets. Our prototype system IVORY is written in JAVA, and its versatility is illustrated by an example from financial service providers.
The advances in computer graphics technology plus the increased complexity of finite element simulations of the crash behavior of a car body have resulted in the need for new visualization techniques to facilitate the...
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The advances in computer graphics technology plus the increased complexity of finite element simulations of the crash behavior of a car body have resulted in the need for new visualization techniques to facilitate the analysis of such engineering computations. The virtual reality system VtCrash provides novel computer-human interface techniques for intuitive and interactive analysis of large amounts of crash simulation data. VtCrash takes geometry and physical properties data as input and enables the user to enter a virtual crash and to interact with any part of the vehicle.
The ARVORES project is a specific science task (part of a larger supercomputing effort) whose purpose is to develop SAR resources based on JERS-1 multi-season coverage of the Amazon rainforest using available state of...
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ISBN:
(纸本)0780338375
The ARVORES project is a specific science task (part of a larger supercomputing effort) whose purpose is to develop SAR resources based on JERS-1 multi-season coverage of the Amazon rainforest using available state of the art computing technology. Because of the basin-wide coverage of this data set, in addition to providing the immediate science goals of landcover classification, it will also serve as a foundation which present and future data sets may be overlain and compared to. In addition, it is the goal of this project to use the science requirements related to the study of the Amazon region to guide the development of a flexible, large-scale computing environment for addressing SAR specific tasks.
Described is a prototype database and analysis system developed to support the specific domain of forest canopy research. This effort utilized a multidiscipline team comprised of information (database systems), statis...
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Described is a prototype database and analysis system developed to support the specific domain of forest canopy research. This effort utilized a multidiscipline team comprised of information (database systems), statistical analysis and forest canopy scientists. Both largescale (Oracle) and smaller scale (Visual FoxPro) databases were prototyped. A WEB-based query interface to the Oracle system was also demonstrated. This paper addresses the FoxPro database and S-Plus statistical analysis interface developed to address the dataanalysis, data integration, and data distribution requirements of the originating forest canopy research team. The prototype system employs Visual FoxPro (VFP) as the database engine. visualization and analytical functions are demonstrated by the use of VFP forms and custom designed S-Plus procedures. Finally, a WEB database server facility is also demonstrated. The authors conclude that value-added support centers could be created to develop and disseminate small-scaledatabase and analysis systems to a specific scientific community.
Diffusion and correlation effects are two principal phenomena which have been studied for years and several visualization techniques have been proposed to help scientists to understand them. The analysis of these phen...
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Diffusion and correlation effects are two principal phenomena which have been studied for years and several visualization techniques have been proposed to help scientists to understand them. The analysis of these phenomena will help to extract important information from data sets. To understand these problems we combine wavelet and entropy analysis to evaluate the evolution of these behaviors through scale and time. We present image case studies to show several different kinds of behaviors of these effects. Some of them are fallible cases and not reliable, as the images do not show the desired information. We calculate entropy of smooth and detail coefficient sets, generated by wavelet transform of these sample images in each scale, to obtain measures that allow us to evaluate these behaviors according to the organization complexity. These measures can provide an indication about the quality of the rendered images.
The traditional method for developing electric network analysis computer programs is based on coding using a conventional computer language: FORTRAN, C or Pascal. The programming language of the EMTP (Electromagnetic ...
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The traditional method for developing electric network analysis computer programs is based on coding using a conventional computer language: FORTRAN, C or Pascal. The programming language of the EMTP (Electromagnetic Transients Program) is FORTRAN-77. Such a program has a closed architecture and uses a large number of code lines to satisfy requirements ranging from low level data manipulation to the actual solution mathematics which eventually become diluted and almost impossible to visualize. This paper proposes a new design idea suitable for EMTP re-development in a high level programming context. It presents the creation of the transient analysis numerical simulator MatEMTP in the computational engine frame of MATLAB. Most network solution and modeling methods are simple to visualize and support mathematically, but their translation into an actual largescale working code is complex. Commonly used programming languages are ill-suited to human abilities for dealing with complexity. Software built using such languages is often inadequate. Some other new languages such as ADA, C++ and FORTRAN-90, provide pow-erful features for the formulation of appropriate abstractions for the desired application. But programming is always easier if a specialized language is already available for the creation of similar applications. Specialized applications should use dedicated computational engines where the developer can build and compose with high level constructs. In addition to defining a new library of functions and overloading existing operators, such an engine must provide a minimal number of portable graphical datavisualization and manipulation functions. It is obvious that programming a computational engine from scratch is a major effort. This paper proposes to use a widely used general purpose program available on most popular computer platforms as a computational engine: MATLAB. MATLAB has a large number of built-in functions and constructs covering a wide range of EM
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