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1st Joint Eurographics - IEEE TCVG Symposium on Visualization, VisSym 1999

作者： Fiege, Markus Scheuermann, Gerik Münchhofen, Michael Hagen, Hans Institute for Computer Graphics and CAGD Department of Computer Science University of Kaiserslautern Postfach 3049 KaiserslauternD-67653 Germany

ISBN: (纸本)9783709168035

In grinding technology, the application of superabrasives and increasing demands for higher productivity and higher quality require an appropriate selection of optimum set-up parameters. An efficient way to determine and test these parameters is modeling and simulating the grinding process. A visualization of the results can support the choice of the parameters and increase the knowledge of the complex grinding process. This paper describes a web-based visualization tool on the basis of a kinematic simulation. The tool allows the visualization of the surface of an already ground workpiece as well as the changing shape of the workpiece during the grinding process. Two methods for the visualization of the grinding-objects are implemented. One method describes the scene with the Virtual Reality Modeling Language, the other one uses a Tenderer to create the images. © 1999 Eurographics Association. All rights reserved.

关键词： Grinding (machining)

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Analyses of human sensitivity to redirected walking 08

Analyses of human sensitivity to redirected walking

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VRST 2008 ACM Symposium on Virtual Reality Software and Technology

作者： Steinicke, Frank Bruder, Gerd Jerald, Jason Frenz, Harald Lappe, Markus Visualization and Computer Graphics Group Department of Computer Science WWU Münster Germany Effective Virtual Environments Group Department of Computer Science UNC Chapel Hill United States Psychology Department II WWU Münster Germany

ISBN: (纸本)9781595939517

Redirected walking allows users to walk through large-scale immersive virtual environments (IVEs) while physically remaining in a reasonably small workspace by intentionally injecting scene motion into the IVE. In a constant stimuli experiment with a twoalternative-forced-choice task we have quantified how much humans can unknowingly be redirected on virtual paths which are different from the paths they actually walk. 18 subjects have been tested in four different experiments: (E1a) discrimination between virtual and physical rotation, (E1b) discrimination between two successive rotations, (E2) discrimination between virtual and physical translation, and discrimination of walking direction (E3a) without and (E3b) with start-up. In experiment E1a subjects performed rotations to which different gains have been applied, and then had to choose whether or not the visually perceived rotation was greater than the physical rotation. In experiment E1b subjects discriminated between two successive rotations where different gains have been applied to the physical rotation. In experiment E2 subjects chose if they thought that the physical walk was longer than the visually perceived scaled travel distance. In experiment E3a subjects walked a straight path in the IVE which was physically bent to the left or to the right, and they estimate the direction of the curvature. In experiment E3a the gain was applied immediately, whereas the gain was applied after a start-up of two meters in experiment E3b. Our results show that users can be turned physically about 68% more or 10% less than the perceived virtual rotation, distances can be up-or down-scaled by 22%, and users can be redirected on an circular arc with a radius greater than 24 meters while they believe they are walking straight. Copyright 2008 ACM.

关键词： Rotation

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Out-of-core topologically constrained simplification for city modeling from digital surface models 3

Out-of-core topologically constrained simplification for cit...

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3rd ISPRS International Workshop on 3D Virtual Reconstruction and Visualization of Complex Architectures, 3D-ARCH 2009

作者： Möser, Sebastian Wahl, Roland Klein, Reinhard Institute of Computer Science II Universität Bonn Bonn53117 Germany

We present a framework for rapid reconstruction of building models from very large, high-detail digital surface models (DSM) of urban areas. Our method is based on a geometric mesh simplification approach augmented with shape constraints (Wahl et al., 2008). This approach allows to abstract the full-featured DSM in such a way that important structural elements are maintained irrespective of the approximation accuracy. In this paper we present two major extensions. Firstly, we deal with situations, where the original approach may generate artefacts due to incomplete or inconsistent structural information, mainly caused by vegetation close to the facades. We present refined topological constraints, which handle these problems and a filtering which neglects structural information that contradicts the mesh topology. Secondly, we extend the computational framework to be fully out-of-core capable and present a way to parallelize computations on multiple cores. We demonstrate the efficiency of our method by showing results for downtown Berlin a dataset containing more than 1 billion height samples processed in less than 30 hours.

关键词： Information filtering

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Adaptivity in graphical user interfaces: An experimental framework

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computerS & graphics 1995年第6期19卷 873-884页

作者： Encarnacao, LM University of Tübingen-Wilhelm Schickard Institute of Computer Science (WSI) Interactive Graphics Systems Lab (GRIS) Auf der Morgenstelle 10 C-9-D-72076 Tübingen Germany

Several user and task modeling approaches evolved during the past years and were applied to certain problem areas showing different strengths and weaknesses. A qualitative comparison of these approaches and techniques is difficult since the application and experimentation environments vary. On the other hand, the integration of approved user modeling techniques with different application environments is usually difficult if not impossible. We propose a framework that, in a first step, allows the direct comparison of results of different user and task modeling approaches in graphical user interfaces. The objective is the development of appropriate adaptive help systems for new and existing applications. The system is therefore designed as a client-server architecture to support multi-user operation. The implementation can be easily adapted to different application systems. Applications can be upgraded in a well-defined way, and with a minimal amount of effort by using the approach and tools presented in this paper. A prototype-implementation is presented consisting of an interaction protocoling and managing kernel, a user evaluating module and a corresponding adaptive help system applied to sample medical and CAD experimentation environments.

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An integrated system for creating and presenting complex computer-based documents 81

An integrated system for creating and presenting complex com...

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8th Annual Conference on computer graphics and Interactive Techniques, SIGGRAPH 1981

作者： Feiner, Steven Nagy, Sandor Van Dam, Andries Computer Graphics Group Department of Computer Science Brown University Box 1910 ProvidenceRI02912 United States Computer and Automation Institute Hungarian Academy of Sciences Budapest Hungary

ISBN: (纸本)0897910451

An experimental system is described for the design, development, and presentation of computer-based documents that combine pictures and text on a highresolution raster color display. Such documents can be used, for example, for maintenance and repair tasks or computer-aided instruction. Documents are directed graphs whose nodes we refer to as pages, in analogy to the pages of a paper book. A page includes a set of simultaneously displayed pictures, actions (procedures and processes) triggered when the page is accessed or when pickable picture elements on it are selected, and indexing information. Pages may be nested arbitrarily deeply in chapters that serve much the same organizing function as those of conventional books. The system is comprised of separate programs for laying out and drawing pictures, for graphically specifying the contents of pages, chapters, and their interconnections, and for displaying the document for user interaction. Examples are given from a prototype document for the maintenance and repair of computerized numerical control equipment. Emphasis was placed on designing actions for simple realtime animation (both by color table techniques and by transforming named primitives and manipulating their attributes), and for finding one's way around the document (displays include: a "timeline" of recently visited pages, immediate predecessor and successor pages, sibling pages and their interconnections, and those pages satisfying keyword retrieval requests). © 1981 ACM.

关键词： computer aided instruction

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Ensuring Safety Drive through a Smart Helmet design using IOT 7

Ensuring Safety Drive through a Smart Helmet design using IO...

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7th International Conference on Circuit Power and Computing Technologies, ICCPCT 2024

作者： Asha, P. Akshara, C.V. Aakash, S. Padma Suresh, L. Usha Nandini, D. Paul Selvan, Mercy Sathyabama Institute of Science and Technology Computer Science and Engineering Chennai India Baselios Mathews II College of Engineering Computer Science and Engineering Kollam India

ISBN: (纸本)9798350372816

The smart helmet is a kind of protection gear that improves the rider's safety while operating a bike. The primary motive is to keep the motorcyclist safe. The attributes including alcohol detection, global positioning system, accelerometer, and fall detection can be employed to achieve this. As a consequence, it acts as a smart helmet. The first condition needs to be fulfilled for the bike to ignite, is that the person should have not consumed alcohol, followed by that the eye blink sensor detects the motion of eyeballs and if the driver falls is tired and closes eye for a period of time, then the sensor alerts the driver and when the accelerometer detects the change in motion, it alerts the GPS and GSM and it posts message to their nearby hospital and relatives. The advancement in our projects includes the temperature sensor which alerts during long hours of wearing helmet. Smart helmets can also help prevent head injuries. Some smart helmets can provide real-time information about the force, frequency and severity of head impacts. © 2024 IEEE.

关键词： Global positioning system

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Analysis and Performance Evaluation of various Artificial Intelligence techniques for Disease Prediction 7

Analysis and Performance Evaluation of various Artificial In...

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7th International Conference on Circuit Power and Computing Technologies, ICCPCT 2024

作者： Asha, P. Refonaa, J. Jany Shabu, S.L. Rishi, S. Padma Suresh, L. Praveen, S. Sathyabama Institute of Science and Technology Computer Science and Engineering Chennai India Baselios Mathews II College of Engineering Computer Science and Engineering Kollam India

ISBN: (纸本)9798350372816

The framework of the proposed system utilizes AI, machine learning procedures and data handling methodologies to analyze, gather data and reports from clinics or patient facilities, and prognosticate reports that assist the outcomes used to foresee various kinds of infection and disease. The most recurrently occurring disease and its infection is the dominant source for the human's death. Clinical endlessly reports from different documents have been taken out to analyze and diagnose breast malignant growth or cancer, coronary or heart illness, and diabetes which are very frequent in present day people, and their wellbeing is significant in the finding. Today, propels in clinical innovation are assisting individuals with improving on the manner in which they give medical clinics and doctors' the most straightforward method for treating, oblige, and treat any infection they need. We have brought this sort of framework into our application, which can give positive and negative outcomes to make individuals' lives simpler to anticipate the sickness by bringing explicit data into their reports, and backing the theory of the infection with the choice of looking for exhortation good clinics and great specialists close to clients or guardians in our future enactments. © 2024 IEEE.

关键词： Logistic regression

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Assessment and Evaluation of Music Genre Classification by employing various AI Techniques 7

Assessment and Evaluation of Music Genre Classification by e...

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7th International Conference on Circuit Power and Computing Technologies, ICCPCT 2024

作者： Asha, P. Adithya, S. Aijith Prabhakar, U.T. Ankayarkanni, B. Anto Praveena, M.D. Padma Suresh, L. Sathyabama Institute of Science and Technology Computer Science and Engineering Chennai India Baselios Mathews II College of Engineering Computer Science and Engineering Kollam India

ISBN: (纸本)9798350372816

Music genre classification, the task of automatically assigning audio recordings to specific genres, offers exciting possibilities for music recommendation systems, personalized playlists, and music analysis. This abstract explores the potential of (K-NN), a versatile Artificial Intelligence (AI) algorithm, in tackling this challenge- NN excels in its simplicity and interpretability. It classifies new music by identifying its closest neighbors within a labeled dataset based on predefined features, such as tempo, timbre, or spectral content. These neighbors then collectively "vote"on the genre of the new piece. The abstract delves into the feature engineering process, highlighting the crucial role of selecting relevant musical characteristics for accurate classification. Furthermore, the abstract discusses the impact of the "K"hyper parameter, which determines the number of neighbors considered in the voting process. Choosing the optimal "K"value balances accuracy and sensitivity to genre nuances. While K-NN offers advantages in ease of implementation and understanding, the abstract acknowledges its potential drawbacks. The storage requirements can be high for large datasets, and computational costs may increase with data size. It concludes by acknowledging the need for further research to address computational challenges and explore advanced feature engineering techniques to unlock the full potential of K-NN in this exciting domain. © 2024 IEEE.

关键词： Audio recordings

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Implementation of various AI techniques for Autism Spectrum Disorder Detection 7

Implementation of various AI techniques for Autism Spectrum ...

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7th International Conference on Circuit Power and Computing Technologies, ICCPCT 2024

作者： Asha, P. Raj, Aditya Ramani, Bhavyam Vijay Padma Suresh, L. Prince Mary, S. Mary Posonia, A. Sathyabama Institute of Science and Technology Computer Science and Engineering Chennai India Baselios Mathews II College of Engineering Computer Science and Engineering Kollam India

ISBN: (纸本)9798350372816

A complex neurological disorder affecting behavior, communication, and social interactions is known as autism spectrum disorder (ASD). For people with ASD, improving outcomes requires primordial detection and intervention. The diagnosis of ASD has been transformed by the combination of AI and ML, particularly in young children. In order to create reliable autism screening tools, researchers have explored a variety of machine learning algorithms, including Decision Trees, XGBClassifier, Random Forest, AdaBoost Classifier, CatBoost Classifier, KMeans to Artificial Neural Networks (ANN). Artificial Neural Networks, energised by the intricacies of the human brain, stand out for their remarkable ability to decipher complex patterns within data, thus proving effective in ASD prediction tasks. Nonetheless, ANN models often necessitate substantial data and computational resources for training. It is imperative to undertake rigorous comparative analyses based on accurate and efficient results to determine the most suitable algorithm for ASD prediction. Furthermore, continuous refinement and validation of these varied algorithms along with the representative and comprehensive datasets are vital to ensure their factuality and applicability in real world problems. © 2024 IEEE.

关键词： Random forests

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Validating ML algorithms for efficient Breast Cancer Prediction using K-fold 7

Validating ML algorithms for efficient Breast Cancer Predict...

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7th International Conference on Circuit Power and Computing Technologies, ICCPCT 2024

作者： Asha, P. Refonaa, J. Shabu, S. L. Jany Karthik, Janapati Vardhan, A. Harsha Suresh, L. Padma Sathyabama Institute of Science and Technology Computer Science and Engineering Chennai India Baselios Mathews II College of Engineering Computer Science and Engineering Kollam India

ISBN: (纸本)9798350372816

Breast cancer has always been a disease that affects a lot of people. There is vast range of factors that may lead to breast cancer and this makes it more difficult to detect at an early stage. The tissues called benign or malignant present in the breast profile are so identical that it makes detecting cancer very complex for the doctors. Performing various tests like uniformity of cell shape and thickness of tissues may result in no valuable insights. This gives rise to machine learning and artificial intelligence that can be used in the prognosis of breast cancer. Here we attempt at correlating diverse machine learning algorithms to effectively predict breast cancer over a dataset. The five diverse machine learning algorithms employed are Naïve Bayes, Decision Tree, Neural Networks (Multilayer Perceptron), SVM and K-nearest Neighbour. An effective comparative study has been done to filter out the best Algorithm based on their Performance. © 2024 IEEE.

关键词： Lung cancer

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