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We describe a security visualization tool for finding algorithmic complexity attacks in Java bytecode. Our tool, which we call J-Viz, visualizes connected directed graphs derived from Java bytecode according to a canonical node ordering, which we call the sibling-first recursive (SFR) numbering. The particular graphs we consider are derived from applying Shiver's k-CFA framework to Java bytecode,...
Sketching allows analysts to specify complex and free-form patterns of interest. Visual query systems can make use of sketches to locate these patterns of interest in large datasets. However, sketching is ambiguous: the same drawing could represent a multitude of potential queries. In this work, we investigate these ambiguities as they apply to visual query systems for time series data. We define...
This paper presents a proposed technique for dual-axis solar tracking system using fusion based approach of an astronomical based estimation and a visual sensor based feedback to locate and track sun position continuously time by time. The astronomical based calculation is used to estimate azimuth and elevation angles of a dual-axis solar power plant with respect to the time and location of the plant...
This paper investigates the modification of an existing game console emulator utilizing scene recognition to perform audio-visual enhancement of vintage video games. Such games featured low-resolution graphics with limited colors and low-quality electronic music. Information contained about the virtual hardware state information is exploited to provide high-resolution, full-color graphics and a recorded...
The society is in a state where learning has no limits and starts to overlap with technological developments. The recent advent of a connectivistic learning theory promises to shed light on how we learn in environments of interconnected knowledge and how the connectivity of concepts can guide the learning and conceptualization. This paper will have a look at a domain ontology-based approach to learning...
Despite the consistent advances in visual features and other Content-Based Image Retrieval techniques, measuring the similarity among images is still a challenging task for effective image retrieval. In this scenario, similarity learning approaches capable of improving the effectiveness of retrieval in an unsupervised way are indispensable. A novel method, called Cartesian Product of Ranking References...
A convex hull of points in E2 is used in many applications. In spite of low computational complexity O(h logn) it takes considerable time if large data processing is needed. We present a new algorithm to speed up any planar convex hull calculation. It is based on a polar space subdivision and speed up known convex hull algorithms of 3,7 times and more. The algorithm estimates the central point using...
Non-Photorealistic Rendering (NPR) for video sequences can be regarded as an extension of NPR for images. However, if the NPR sequence is obtained from a real video using an image processing pipeline, discontinuity problems have to be addressed, especially for the background region. In this paper, we propose to adopt Fast Video Segmentation algorithm to extract the common background in the video before...
Knowledge and experience of a case manager re- mains a key success factor for Case Management Processes (CMPs). When a number of influential parameters is high, a number of possible scenarios grows significantly. Automated guidance in scenario evaluation and activity planning would be of a great help. In our previous work, we defined the statecharts semantics for visualisation and simulation of CMP...
In this paper we discuss the possibility of generating complex networks by multi-swarm Particle Swarm Optimization algorithm. A methodology is proposed and visualizations of created networks are presented. Also we discuss the future possibility of employing advanced complex network analysis to improve the performance of the multi-swarm PSO.
This research deals with complex networks framework for evolutionary algorithms. This paper aims on the experimental investigations on the time development and influence of different randomization types, different strategies for Differential Evolution (DE) through the analysis of complex network as a record of population dynamics and indices selection. The population is visualized as an evolving complex...
The main focus of research in algorithm visualization has lately been on pedagogical aspects, but graphical features also deserve be studied. This paper presents an evaluation conducted with students on the convenience of including several graphical elements (labels for identifiers, arrows and shadows) in the visualization of an iterative algorithm. Students performed two tasks: to answer an opinion...
A generalized fault isolability matrix is proposed for quantitative analysis of fault isolability properties. The original fault isolability matrix gives information about which faults that are isolable from each other. However, other relavant isolability properties are not visible which can be important, for example, information regarding alternative fault hypotheses and multiple-fault isolability...
DNA repeats are believed to play significant roles in genome evolution and manifestation of severe diseases. Many of the methods for finding repeated sequences use distances, similarities and consensus sequences to generate candidate sequences. This paper presents results obtained using a dedicated numerical representation with a mapping algorithm (using DNA distances and consensus types) and an in-memory...
Serious games and simulations are called to fulfill an important role in education. They have already demonstrated effectiveness not only from the point of view of learning, but also as motivation tools. The current work examines the progress that, from the eMadrid Network, is taking place in this research area, together with the new research lines that are being opened.
This paper presents an audio guided Indoor Navigation Systems built in a wearable device designed to work with a hybrid mapping. This mapping consist of radio frequency markers as well as visual markers located in special places inside known ambient. This system allows blind users a safe guided navigation with quick and low computational complexity. The chosen methodological approach divides the system...
Based on piecewise linear hypothesis that both the velocity and flow map gradient are constant in grid cell and adjacent time intervals, we design a time-slicing flow map preprocessing and composition based Finite-Time Lyapunov Exponent (FTLE) visualization algorithm for unsteady flow field. This algorithm is capable of reducing the computation overhead from duplicated flow map calculation and multiple...
We consider the problem of how to simultaneously and well correct the over- and under-exposure regions in a single low dynamic range (LDR) image. Recent methods typically focus on global visual quality but cannot well-correct much potential details in extremely wrong exposure areas, and some are also time consuming. In this paper, we propose a fast and detail-enhanced correction method based on automatic...
Sparse representation is a common approach for reducing the spatial redundancy by modelling an image as a linear combination of few atoms taken from an analytic or trained dictionary. This paper introduces a new image codec based on adaptive sparse representations wherein the visual salient information is considered into the rate allocation process. Firstly, the regions of the image that are more...
Accurate detection and localization of vehicles in aerial images has a wide range of applications including urban planning, military reconnaissance, visual surveillance, and realtime traffic management. Automated detection of vehicles in aerial imagery is a challenging task, due to the density of vehicles on the road, the complexity of the surrounding environment in urban areas, and low spatial resolution...
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