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Towards Certifiable AI in Aviation: A Framework for Neural Network Assurance Using Advanced visualization and Safety Nets 43

Towards Certifiable AI in Aviation: A Framework for Neural N...

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43rd AIAA DATC/ieee Digital Avionics Systems conference, DASC 2024

作者： Christensen, Johann Maximilian Zaeske, Wanja Beck, Janick Friedrich, Sven Stefani, Thomas Girija, Akshay Anilkumar Hoemann, Elena Durak, Umut Köster, Frank Krüger, Thomas Hallerbach, Sven Sankt Augustin Germany Braunschweig Germany

ISBN: (纸本)9798350349610

While Artificial Intelligence (AI) has become an important asset in many areas of science and technology, safety is often not treated as important as required for aviation. Neglecting safety is not an option for aviation, where strict laws and regulations govern the certification process of new aircraft. Thus, a solid understanding of the underlying AI-based system is important to certify such systems. To this day, manual inspection by humans is an essential step for certification, however requires proper tooling. One such tool, called Advisory Viewer, is presented in this work, helping to break down the high-dimensional vector space of neural networks. The tool presented here can visualize decisions derived from assemblies of neural networks for arbitrary 2-dimensional parameter sweeps and provides real-time feedback upon any parameter change. It is designed to better understand the neural networks behind openCAS, an open-source implementation for the Airborne Collision Avoidance System X (ACAS X), the upcoming implementation for collision avoidance in aviation. However, as currently designed, implementing ACAS X is not feasible on current aviation hardware, as the required memory is not available. Here, neural networks and their ability to compress and generalize can be a solution. Therefore, it is of utmost importance that the AI-based system behind ACAS X always produces correct predictions. Finally, to fix the detected irregularities, this work implements a Safety Net to ensure the correct output for the ACAS X use case. Safety Nets are designed on the idea of sparse lookup tables (LUTs), storing only the points where the neural networks are known to fail. By deploying a system consisting of a Safety Net together with neural network(s), a small, yet potentially certifiable system can be designed and built. This work presents a generic data format for LUTs and recommended algorithms to populate and organize said LUTs for quick access during runtime. Combined, th

关键词： Aircraft accidents

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Performance of Recurrent Neural Networks in Liver Disease Classification 2

Performance of Recurrent Neural Networks in Liver Disease Cl...

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2nd International conference on Electronics and Renewable Systems, ICEARS 2023

作者： Nanthini, K. Sivabalaselvamani, D. Selvakarthi, D. Pavethran, D. Srinaath, N. Vignesh, K.S. Kongu Engineering College Tamil Nadu Erode Perundurai India

ISBN: (纸本)9798350346640

Globally, it has been noted that more people are dying from liver disease than from other serious illnesses. The most prevalent forms of liver disease first exhibit no symptoms. This cause liver failure and lead to cancer. The dataset was acquired from a medical record for liver disease, which contains about 30,000 data and 10 attributes for identifying liver patients and non-patients. To get better accuracy for a huge dataset we implemented deep learning. The implementation was done with Recurrent Neural Network (RNN) algorithms LSTM, Bi-LSTM and GRU. By using all algorithms, we have got a test accuracy of 74.59% in LSTM, 85.41% in Bi-LSTM, and the highest accuracy 96.22% in the GRU model. © 2023 ieee.

关键词： Data visualization

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Zoom Experiences in Higher Education: helping college students build data visualization capacity remotely

Zoom Experiences in Higher Education: helping college studen...

引用

ieee Frontiers in Education conference (FIE)

作者： Byrd, Vetria L. Purdue Univ Comp Graph Technol W Lafayette IN 47907 USA

ISBN: (纸本)9781665438513

This Innovative Practice paper presents the redesign of an introductory data visualization college course to foster participation and engagement in an online setting. Four classroom exercises, referred to as "Zoom Experiences," are described. Zoom Experiences varied depending on the topic being covered and were different each day to keep students' interest. Students were asked to indicate if they would recommend the "experience" (or not) using a 5-point Likert Scale ranging from: (1) I would definitely NOT recommend, to (5) I would definitely recommend the exercise. A total of 84 responses were analyzed. Analysis of responses indicate over 57% would recommend or highly recommend the activities, 35% would likely recommend, and 8% would not recommend the activities. The goal of the experiences was to help students stay engaged in an on-line element of a course originally designed for in- class participation.

关键词： e-learning data visualization critical thinking

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Intercept Graph: An Interactive Radial visualization for Comparison of State Changes

<i>Intercept Graph</i>: An Interactive Radial Visualization ...

引用

ieee visualization conference (ieee VIS)

作者： Ruan, Shaolun Wang, Yong Guan, Qiang Kent State Univ Kent OH 44242 USA Singapore Management Univ Singapore Singapore

ISBN: (纸本)9781665433358

State change comparison of multiple data items is often necessary in multiple application domains, such as medical science, financial engineering, sociology, biological science, etc. Slope graphs and grouped bar charts have been widely used to show a "before-and-after" story of different data states and indicate their changes. However, they visualize state changes as either slope or difference of bars, which has been proved less effective for quantitative comparison. Also, both visual designs suffer from visual clutter issues with an increasing number of data items. In this paper, we propose Intercept Graph, a novel visual design to facilitate effective interactive comparison of state changes. Specifically, a radial design is proposed to visualize the starting and ending states of each data item and the line segment length explicitly encodes the "state change". By interactively adjusting the radius of the inner circular axis, Intercept Graph can smoothly filter the large state changes and magnify the difference between similar state changes, mitigating the visual clutter issues and enhancing the effective comparison of state changes. We conducted a case study through comparing Intercept Graph with slope graphs and grouped bar charts on real datasets to demonstrate the effectiveness of Intercept Graph.

关键词： Visual representation design Interaction State change comparison Radial visualization

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Visual Sensitivity Aware Rate Adaptation for Video Streaming via Deep Reinforcement Learning 23

Visual Sensitivity Aware Rate Adaptation for Video Streaming...

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23rd ieee International conference on High Performance Computing and Communications, 7th ieee International conference on Data Science and Systems, 19th ieee International conference on Smart City and 7th ieee International conference on Dependability in Sensor, Cloud and Big Data Systems and Applications, HPCC-DSS-SmartCity-DependSys 2021

作者： Dan, Meng Ye, Jin Jiang, Wenchao Shan, Yuanchao Guangxi Key Laboratory of Multi-media Communications and Network Technology Nanning530000 China School of Computer and Electronic Information Guangxi University Nanning530000 China Pillar of Information Systems Technology and Design Singapore University of Technology and Design Singapore

ISBN: (纸本)9781665494571

Adaptive bitrate (ABR) technology is widely adopted in video streaming to improve quality of experience (QoE). However, existing methods ignore the inherent characteristic of Human Visual System (HVS), i.e., HVS has different sensitivity to the quality distortion of different video content. Therefore, video contents with high visual sensitivity have higher visual importance and need to be allocated more bitrate resources. In this paper, we propose a novel rate adaptive algorithm by incorporating newly-defined visual sensitivity model. More specifically, a set of relevant features are extracted from video content to establish a deep neural network model that accurately reflects the visual sensitivity. The network state, buffer occupancy and visual sensitivity are comprehensively considered under deep reinforcement learning framework to select appropriate bitrate for maximizing QoE. Experimental results show that the proposed algorithm can generate an ABR strategy consistent with visual sensitivity, and improves the perceptual video quality and user QoE by 14.2% and 16.3%, respectively. © 2021 ieee.

关键词： visualization Adaptation models Sensitivity Heuristic algorithms Bit rate Reinforcement learning Streaming media

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Height Normalizing Image Transform for Efficient Scene Specific Pedestrian Detection 18

Height Normalizing Image Transform for Efficient Scene Speci...

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18th ieee International conference on Advanced Video and Signal Based Surveillance (AVSS)

作者： Ardo, Hakan Ahrnbom, Martin Nilsson, Mikael Axis Commun Lund Sweden Lund Univ Lund Sweden

ISBN: (纸本)9781665463829

Surveillance cameras typically study the exact same scene day and night, year after year, but utilize general pedestrian detectors trained to detect pedestrians from any viewing angle. By specializing the detector to the scene it is used on, its need for computational resources can be reduced and thereby its carbon footprint and operational cost. We propose a (optionally straightened) height normalizing image transform, (S)HeNIT, to be used as a preprocessing step to a CNN detector. It removes the pixel height variations of pedestrians moving on a ground plane. Therefore, the visual variation is reduced, and the available pixels are more evenly redistributed between close and distant pedestrians. This allows the detector to be specialized to a specific scene by fine-tuning and pruning it on rendered, scene specific, synthetic data. The transform also allows for lower resolution input images to be used, making recognition more difficult, which is desirable from a privacy standpoint.

关键词： Privacy visualization Image resolution Costs Image recognition Surveillance Detectors

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Pluralistic Face Image Completion Based on StyleGAN 23

Pluralistic Face Image Completion Based on StyleGAN

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作者： Xiaofeng, Shao Zhenping, Qiang Fei, Dai Shiqi, Su Yuxuan, Zuo Libo, He School of Big Data and Intelligent Engineering Southwest Forestry University Kunming China Information Network Security Institute Yunnan Police Officer Academy Kunming China

ISBN: (纸本)9781665494571

For masked images, although there are many methods that can be completed to a reasonable result, their output is only one. In fact, there should be multiple possible predictions for a masked face image. To address this limitation, in this paper, we propose a pluralistic face image completion method to generate more than one reasonable result. The generative adversarial network can generate images from random noise, and we believe that each image corresponds to a latent vector. We use the image generated by StyleGAN as the training set, train a ResNet module to extract the latent vector of the image, and then use this latent vector to generate the image so that the image can be reconstructed. For masked images, we do not consider the missing information area when we calculate the loss. We conduct experiments on the FFHQ dataset, and experimental results show that this method can effectively achieve pluralistic face image completion. © 2021 ieee.

关键词： Training visualization Smart cities Shape Semantics Predictive models Generative adversarial networks

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25 years so far: Lessons from a Large Scale Immersive visualization Facility

25 years so far: Lessons from a Large Scale Immersive Visual...

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Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW), ieee conference on

作者： Nicholas F. Polys Jayesh Pandey Virginia Tech

This article reflects on the challenges and successes of providing cutting-edge immersive visualization facilities for a variety of academic users. For over 25 years, the University visualization and Animation Group (now Advanced Research Computing) has provided cyberinfrastructure and support for designers, engineers, and scientists with data and visualization needs. We consider the history and evolution of these services and inventory several aspects of their research and educational impact. While there are many other examples of successful installations, we present evidence demonstrating the cross-cutting value of these institutional cyberinfrastructure resources and prospectives for future research.

关键词： Three-dimensional displays Instruments conferences Data visualization Collaboration Virtual reality Animation

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Type Checker for Simply Typed Lambda Calculus

Type Checker for Simply Typed Lambda Calculus

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ieee International Scientific conference on Informatics

作者： Richard Jurko Ján Perháč Samuel Novotný Department of Computers and Informatics Faculty of Electrical Engineering and Informatics Technical University of Košice Košice Slovakia

ISBN: (数字)9798350387681

ISBN: (纸本)9798350387698

This paper addresses the design and implementation of a visualization tool for type checking terms of simply typed lambda calculus. Motivated by the need for a user-friendly and effective tool to understand the type-checking process of programs within this system, we chose to use Elm language to implement a tool. The tool includes step-by-step construction of the type-checking tree, with the ability to control certain aspects of the visualization, such as the abbreviation of context and the displaying of rule names used. A successful usability test of the system highlights its effectiveness in improving understanding of simply typed lambda calculus and its ability to provide a clear and interactive interface for users. This tool can be a useful teaching aid in university courses dedicated to type theory.

关键词： visualization Education Buildings Calculus Usability Informatics

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Secure File Sharing System Using Big Data in the Cloud 5

Secure File Sharing System Using Big Data in the Cloud

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5th ieee International conference on Advances in Computing, Communication Control and Networking, ICAC3N 2023

作者： Singh, Ashwani Kumar Shukla, Harshit Sonkar, Adarsh Mittal, Veena Information Technology Galgotias College Of Engineering And Technology Greater Noida India Galgotias College Of Engineering And Technology India

ISBN: (纸本)9798350330861

With the use of Cloud Technology, Big Data and its visualization now become an essential elements of information technology. Over the past few decades, protecting sensitive data from hackers has been a struggle. To preserve the data,numerous researchers created technologies and approaches. In this paper, new solution to create and secure data is categorized into structured, semi-structured, and unstructured forms. As all traditional technologies are only relevant to structured data. In this paper, we examined numerous security and privacy techniques that have been put out by different researchers and analyzed that using MongoDB and cloud-based securities, problems like data breaches and other security measures can be resolved. It is expensive to store data on servers and then retrieve it again, only paying customers are eligible to use it. As a result, this research will lower the cost of data retrieval and storage, that will be advantageous to regular consumers. This survey reveals that while such websites exist, they are not practical or accessible to regular consumers. Therefore, we have identified this significant flaw and are working to develop a solution. In addition to security and dependability, the system is built on secure data retrieval. The key characteristic is the necessity of a key for each user to receive data from the system, that raises security *** main idea of this file-sharing application is to provide an online platform where documents, images, or other data can be shared without any size limitation. There are various platforms like Gmail, WhatsApp, etc where files having large sizes cannot be sent. There are no such limitations in this app user can easily upload files up to 1GB, and also they do not have to use personal drives like Google Drive, or Dropbox as the data get stored on public storage. This paper also overcomes the problem of unnecessary data gathering in the backend so that the data storing process can get optimized. © 2023

关键词： Sensitive data

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