Manual game content creation is an increasingly laborious task;with each advance in graphics hardware, a higher level of fidelity and detail is achievable and, therefore, expected. Although numerous automatic (e.g. pr...
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Spatial visualization skills are vital to many careers and in particular to STEM fields. Materials have been developed at Michigan Technological University and Penn State Erie, The Behrend College to assess and develo...
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Spatial visualization skills are vital to many careers and in particular to STEM fields. Materials have been developed at Michigan Technological University and Penn State Erie, The Behrend College to assess and develop spatial skills. The EnViSIONS (Enhancing Visualization Skills-Improving Options aNd Success) project is combining these materials and testing them with pre-college and college students at seven institutions: Michigan Tech, Penn State Behrend, Purdue University, University of Iowa, Virginia State University, Virginia Tech, and a "Project Lead the Way" course in south-central Arizona. By removing a barrier to success for students with low visualization skills, particularly women, the project leaders hope to improve the retention of these students in STEM disciplines and to enhance their success. This paper will give a brief overview of the implementations at the university level and the fndings.
On-line boosting allows to adapt a trained classifier to changing environmental conditions or to use sequentially available training data. Yet, two important problems in the on-line boosting training remain unsolved: ...
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Instructor evaluations are still paper-based throughout many universities;however, some universities are beginning to evaluate Web-based solutions to a time-consuming and wasteful process. Purdue OnLine Evaluations (P...
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Instructor evaluations are still paper-based throughout many universities;however, some universities are beginning to evaluate Web-based solutions to a time-consuming and wasteful process. Purdue OnLine Evaluations (POLE) is a Web-based system currently in place for students in the Department of computergraphicstechnology (CGT) at Purdue University to evaluate their instructors and courses. An upgrade to ***, which provided additional functionality related to charting and graphing, using C# and a Microsoft SQL Server database management system was completed along with Ajax user interface components that provided a more fluid and rich user interface. While the application was used on a relatively small scale, steps were taken to implement this Web-based solution as the evaluation software for Purdue University and possibly as the benchmark for other universities. The system has applications for not only Industrial technology, but any college or department interested in automating the instructor and course evaluation process. The findings showed that the majority of students tested, who agreed that completing an online evaluation was quick, also agreed that they would use POLE to evaluate their courses. Additionally, by providing faculty an easy way to create evaluation questions, they were also highly likely to use POLE for creating course evaluations. Finally, the findings of this study show that integration of an online evaluation system can provide accurate, timely, and more detailed information to instructors and departments, as well as, retain the confidentiality, security, and functionality of the traditional paper-based approach.
We present a Variable Neighborhood Search approach for a network design problem occurring in real world when the bandwidth of an existing network shall be enhanced. Using two different neighborhood structures we show ...
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Adaptively Sampled Distance Fields (ADFs) are volumetric shape representations that support a broad range of applications in the areas of computergraphics, computer vision and physics. ADFs are especially beneficial ...
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Adaptively Sampled Distance Fields (ADFs) are volumetric shape representations that support a broad range of applications in the areas of computergraphics, computer vision and physics. ADFs are especially beneficial for representing shapes with features at very diverse scales. In this paper, we propose a strategy to represent and reconstruct ADFs on modern graphics hardware (GPUs). We employ a 3D hashing scheme to store the underlying data structure and try to balance the tradeoff between memory requirements and reconstruction efficiency. To render ADFs on GPU, we use a general-purpose ray-casting technique based on sphere tracing, which guarantees the reconstruction of fine details. We also present a way to overcome the Cl discontinuities inherent to ADFs and efficiently reconstruct smooth surface normals across cell boundaries. The effectiveness of our proposal is demonstrated for isosurface rendering and morphing.
This paper examines how positioning data, radio signal characteristics and routing information can be used to detect active attacks (such as black hole attacks) in mobile ad hoc networks (MANETs). Various data sets ar...
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ISBN:
(纸本)9783885792222
This paper examines how positioning data, radio signal characteristics and routing information can be used to detect active attacks (such as black hole attacks) in mobile ad hoc networks (MANETs). Various data sets are analysed and compared to check their consistency in order to detect anomalies that might indicate attack. Direct positioning data (such as GPS coordinates) and other sources of information (such as radio signal strength) are taken into account from which conclusions can be drawn about the distance between individual nodes. Expected communication relationships derived from node localization are compared to the actual network connectivity graph given by the routing tables. This comparison can detect suspicious properties (divergent values) which could indicate an attack in progress. We propose methods for MANET intrusion detection which allow the detection of active attacks based on different sensor data related to node localization. The typical state of this sensor data during normal network operation is compared to measured results during an active attack. The underlying protocol of the analyzed MANET is Ad hoc On-demand Distance Vector Routing (AODV) and proposed concepts are verified using the network simulator JiST/MobNet. Simulation results show that the proposed IDS components detect can attacks on a MANET with high probability for various set-ups.
Digital ID images are getting wide use in our social life. The automatic evaluation of the images’ quality is an important technique in the applications. An evaluation method on the content-related quality of ID imag...
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Digital ID images are getting wide use in our social life. The automatic evaluation of the images’ quality is an important technique in the applications. An evaluation method on the content-related quality of ID images is introduced in this paper. The important attributes and their evaluating methods are analyzed in accordance with the ISO/IEC and ICAO standards. Considering the special features and restrictions of ID images, a simplified fast facial features extraction algorithm is proposed. The attributes related with the content of face image are then evaluated based on the information yielded from feature extraction results.
The bounded diameter minimum spanning tree problem is an NP-hard combinatorial optimization problem arising for example in network design when quality of service is of concern. We solve a strong integer linear program...
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The bounded diameter minimum spanning tree problem is an NP-hard combinatorial optimization problem arising for example in network design when quality of service is of concern. We solve a strong integer linear programming formulation based on so-called jump cuts by a novel branch&cut algorithm, using various heuristics including tabu search to solve the separation problem.
This paper introduces a hierarchical approach for multi-component tracking, where the object-to-be-tracked is modeled as a group of spatial related parts. We propose to use a robust particle filtering framework for tr...
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This paper introduces a hierarchical approach for multi-component tracking, where the object-to-be-tracked is modeled as a group of spatial related parts. We propose to use a robust particle filtering framework for tracking the individual components and outline how the spatial coherency between the parts can be efficiently integrated by analyzing a two-level hierarchy of particle filters. Including spatial information allows to handle common tracking problems like occlusions, clutter or blur. Furthermore, the dynamic calculation of particle set uncertainties allows a dynamic adaption of stiffness values for the spatial model to e. g. force occluded parts to stay in spatial relation. The experimental section proves the robustness of the proposed tracker on challenging sequences of the VIVID-PETS database.
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