scholarly journals Uncertainty Visualization

2020 ◽  
Author(s):  
Lace Padilla ◽  
Matthew Kay ◽  
Jessica Hullman
Keyword(s):  
Best Practices ◽  
State Of The Art ◽  
Uncertainty Visualization ◽  
Cognitive Theories ◽  
Different Types ◽  
Pros And Cons ◽  
Novices And Experts ◽  
Visualization Techniques ◽  
The Mind ◽  
Uncertainty Information

While uncertainty is present in most data analysis pipelines, reasoning with uncertainty is challenging for novices and experts alike. Fortunately, researchers are making significant advancements in the communication of uncertainty. In this chapter, we detail new visualization methods and emerging cognitive theories that describe how we reason with visual representations of uncertainty. We describe the best practices in uncertainty visualization and the psychology behind how each approach supports viewers' judgments. This chapter begins with a brief overview of conventional and state-of-the-art uncertainty visualization techniques. Then we take an in-depth look at the pros and cons of each technique using cognitive theories that describe why and how the mind processes different types of uncertainty information.

LASER Combined with Plasma—Will It Be the Future’s Green and Safe IC Decapsulation Method

2015 ◽  
Author(s):  
Patrick Poirier ◽  
Michael Obein
Keyword(s):  
Plasma Etching ◽  
State Of The Art ◽  
The State ◽  
Wet Chemistry ◽  
Different Types ◽  
Pros And Cons ◽  
Promising Solution ◽  
Laser Techniques ◽  
Plasma Techniques

Abstract LASER techniques are widely used for pre-opening in combination with a final manual or automated wet chemistry decapsulation. Even if most of the ICs may be opened today, and if opening the recently introduced Ag wires packages have been solved with novel chemical recipes, the need for a greener and safer solution is still there. Plasma techniques combined with LASER can be a promising solution to these challenges. In this paper, after a presentation of the state of the art of the different techniques available in laboratories nowadays, the latest solution combining LASER and acid or plasma etching is presented. The paper compares the results obtained with these solutions on Cu an Ag wires devices with pros and cons for each solution. The results presented show the benefits, the constraints and the limitations of each technique regarding the different types of wires used in industry.

scholarly journals Evaluation Methods for the Impacts of Shared Mobility: Classification and Critical Review

2020 ◽  
Vol 12 (24) ◽  
pp. 10504
Author(s):  
Anastasia Roukouni ◽  
Gonçalo Homem de Almeida Correia
Keyword(s):  
State Of The Art ◽  
The State ◽  
Added Value ◽  
Research And Practice ◽  
Shared Mobility ◽  
The World ◽  
Different Types ◽  
Pros And Cons

In recent years, shared mobility services have had a growing presence in cities all over the world. Developing methodologies to measure and evaluate the impacts of shared mobility has therefore become of critical importance for city authorities. This paper conducts a thorough review of the different types of methods that can be used for this evaluation and suggests a classification of them. The pros and cons of each method are also discussed. The added value of the paper is twofold; first, we provide a systematic recording of the state of the art and the state of the practice regarding the evaluation of the impacts of shared mobility, from the perspective of city authorities, reflecting on their role, needs, and expectations. Second, by identifying the existing gaps in the literature, we highlight the specific needs for research and practice in this field that can help society figure out the role of urban shared mobility.

Conceiving Desire in Lyly and Shakespeare

2020 ◽  
Author(s):  
Gillian Knoll
Keyword(s):  
William Shakespeare ◽  
Early Modern ◽  
Linguistic Analysis ◽  
John Lyly ◽  
Cognitive Theories ◽  
Different Types ◽  
Considerable Length ◽  
The Mind ◽  
Erotic Desire

Conceiving Desire in Lyly and Shakespeare explores the role of the mind in creating erotic experience on the early modern stage. To “conceive” desire is to acknowledge the generative potential of the erotic imagination, its capacity to impart form and make meaning out of the most elusive experiences. Drawing from cognitive and philosophical approaches, this book advances a new methodology for analysing how early modern plays dramatize inward erotic experience. Grounded in cognitive theories about the metaphorical nature of thought, Conceiving Desire in Lyly and Shakespeare traces the contours of three conceptual metaphors—motion, space, and creativity—that shape erotic desire in plays by John Lyly and William Shakespeare. Although Lyly and Shakespeare wrote for different types of theatres and only partially-overlapping audiences, both dramatists created characters who speak erotic language at considerable length and in extraordinary depth. Their metaphors do more than merely narrate or express eros; they constitute characters’ erotic experiences. Each of the book’s three sections explores a fundamental conceptual metaphor, first its philosophical underpinnings and then its capacity for dramatizing erotic experience in Lyly’s and Shakespeare’s plays. Conceiving Desire in Lyly and Shakespeare provides a literary and linguistic analysis of metaphor that credits the role of cognition in the experience of erotic desire, even of pleasure itself.

Survey on Classic and Latest Textual Sentiment Analysis Articles and Techniques

2019 ◽  
Vol 18 (04) ◽  
pp. 1243-1287 ◽  
Author(s):  
Yong Shi ◽  
Luyao Zhu ◽  
Wei Li ◽  
Kun Guo ◽  
Yuanchun Zheng
Keyword(s):  
Machine Learning ◽  
Deep Learning ◽  
Sentiment Analysis ◽  
State Of The Art ◽  
Heterogeneous Data ◽  
Research Trends ◽  
Useful Knowledge ◽  
Entire Process ◽  
Different Types ◽  
Pros And Cons

Text is a typical example of unstructured and heterogeneous data in which massive useful knowledge is embedded. Sentiment analysis is used to analyze and predict sentiment polarities of the text. This paper provides a survey and gives comparative analyses of the latest articles and techniques pertaining to lexicon-based, traditional machine learning-based, deep learning-based, and hybrid sentiment analysis approaches. These approaches have their own superiority and get the state-of-the-art results on diverse sentiment analysis tasks. Besides, a brief sentiment analysis example in the tourism domain is displayed, illustrating the entire process of sentiment analysis. Furthermore, we create a large table to compare the pros and cons of different types of approaches, and discuss some insights with respect to research trends. In addition, a lot of important sentiment analysis datasets are summarized in this survey.

scholarly journals Multiple objects tracking in the UAV system based on hierarchical deep high-resolution network

2021 ◽  
Author(s):  
Wei Huang ◽  
Xiaoshu Zhou ◽  
Mingchao Dong ◽  
Huaiyu Xu
Keyword(s):  
High Resolution ◽  
Object Tracking ◽  
High Performance ◽  
State Of The Art ◽  
Class Imbalance ◽  
Unified Framework ◽  
Multiple Objects ◽  
Tracking Process ◽  
Objects Tracking ◽  
Different Types

AbstractRobust and high-performance visual multi-object tracking is a big challenge in computer vision, especially in a drone scenario. In this paper, an online Multi-Object Tracking (MOT) approach in the UAV system is proposed to handle small target detections and class imbalance challenges, which integrates the merits of deep high-resolution representation network and data association method in a unified framework. Specifically, while applying tracking-by-detection architecture to our tracking framework, a Hierarchical Deep High-resolution network (HDHNet) is proposed, which encourages the model to handle different types and scales of targets, and extract more effective and comprehensive features during online learning. After that, the extracted features are fed into different prediction networks for interesting targets recognition. Besides, an adjustable fusion loss function is proposed by combining focal loss and GIoU loss to solve the problems of class imbalance and hard samples. During the tracking process, these detection results are applied to an improved DeepSORT MOT algorithm in each frame, which is available to make full use of the target appearance features to match one by one on a practical basis. The experimental results on the VisDrone2019 MOT benchmark show that the proposed UAV MOT system achieves the highest accuracy and the best robustness compared with state-of-the-art methods.

scholarly journals Digital Twin: Origin to Future

2021 ◽  
Vol 4 (2) ◽  
pp. 36
Author(s):  
Maulshree Singh ◽  
Evert Fuenmayor ◽  
Eoin Hinchy ◽  
Yuansong Qiao ◽  
Niall Murray ◽  
...  
Keyword(s):  
Real Time ◽  
Remote Access ◽  
Physical Entity ◽  
Industrial Systems ◽  
Digital Twin ◽  
Planning Optimization ◽  
Different Types ◽  
Pros And Cons ◽  
Number Of Publications ◽  
Digital Shadow

Digital Twin (DT) refers to the virtual copy or model of any physical entity (physical twin) both of which are interconnected via exchange of data in real time. Conceptually, a DT mimics the state of its physical twin in real time and vice versa. Application of DT includes real-time monitoring, designing/planning, optimization, maintenance, remote access, etc. Its implementation is expected to grow exponentially in the coming decades. The advent of Industry 4.0 has brought complex industrial systems that are more autonomous, smart, and highly interconnected. These systems generate considerable amounts of data useful for several applications such as improving performance, predictive maintenance, training, etc. A sudden influx in the number of publications related to ‘Digital Twin’ has led to confusion between different terminologies related to the digitalization of industries. Another problem that has arisen due to the growing popularity of DT is a lack of consensus on the description of DT as well as so many different types of DT, which adds to the confusion. This paper intends to consolidate the different types of DT and different definitions of DT throughout the literature for easy identification of DT from the rest of the complimentary terms such as ‘product avatar’, ‘digital thread’, ‘digital model’, and ‘digital shadow’. The paper looks at the concept of DT since its inception to its predicted future to realize the value it can bring to certain sectors. Understanding the characteristics and types of DT while weighing its pros and cons is essential for any researcher, business, or sector before investing in the technology.

scholarly journals Fighting Together against the Pandemic: Learning Multiple Models on Tomography Images for COVID-19 Diagnosis

AI ◽  
2021 ◽  
Vol 2 (2) ◽  
pp. 261-273
Author(s):  
Mario Manzo ◽  
Simone Pellino
Keyword(s):  
Network Architecture ◽  
State Of The Art ◽  
Ensemble Classification ◽  
Effective Vaccine ◽  
Rt Pcr ◽  
Neural Network Architecture ◽  
Experimental Phase ◽  
Different Types ◽  
Polymerase Chain ◽  
Better Than

COVID-19 has been a great challenge for humanity since the year 2020. The whole world has made a huge effort to find an effective vaccine in order to save those not yet infected. The alternative solution is early diagnosis, carried out through real-time polymerase chain reaction (RT-PCR) tests or thorax Computer Tomography (CT) scan images. Deep learning algorithms, specifically convolutional neural networks, represent a methodology for image analysis. They optimize the classification design task, which is essential for an automatic approach with different types of images, including medical. In this paper, we adopt a pretrained deep convolutional neural network architecture in order to diagnose COVID-19 disease from CT images. Our idea is inspired by what the whole of humanity is achieving, as the set of multiple contributions is better than any single one for the fight against the pandemic. First, we adapt, and subsequently retrain for our assumption, some neural architectures that have been adopted in other application domains. Secondly, we combine the knowledge extracted from images by the neural architectures in an ensemble classification context. Our experimental phase is performed on a CT image dataset, and the results obtained show the effectiveness of the proposed approach with respect to the state-of-the-art competitors.

License Plate Tilt Correction: A Review

2021 ◽  
Vol 39 (1B) ◽  
pp. 101-116
Author(s):  
Nada N. Kamal ◽  
Enas Tariq
Keyword(s):  
State Of The Art ◽  
Recognition System ◽  
License Plate ◽  
License Plate Recognition ◽  
Tilt Correction ◽  
Detection Algorithms ◽  
Essential Step ◽  
Tilting Angle ◽  
Different Types ◽  
Line Fitting

Tilt correction is an essential step in the license plate recognition system (LPR). The main goal of this article is to provide a review of the various methods that are presented in the literature and used to correct different types of tilt that appear in the digital image of the license plates (LP). This theoretical survey will enable the researchers to have an overview of the available implemented tilt detection and correction algorithms. That’s how this review will simplify for the researchers the choice to determine which of the available rotation correction and detection algorithms to implement while designing their LPR system. This review also simplifies the decision for the researchers to choose whether to combine two or more of the existing algorithms or simply create a new efficient one. This review doesn’t recite the described models in the literature in a hard-narrative tale, but instead, it clarifies how the tilt correction stage is divided based on its initial steps. The steps include: locating the plate corners, finding the tilting angle of the plate, then, correcting its horizontal, vertical, and sheared inclination. For the tilt correction stage, this review clarifies how state-of-the-art literature handled each step individually. As a result, it has been noticed that line fitting, Hough transform, and Randon transform are the most used methods to correct the tilt of a LP.

Report from the European Society of Gynaecological Oncology (ESGO) 2020 State-of-the-Art Virtual Meeting

2021 ◽  
Vol 31 (5) ◽  
pp. 658-669
Author(s):  
Zoia Razumova ◽  
Nicolò Bizzarri ◽  
Joanna Kacperczyk-Bartnik ◽  
Andrei Pletnev ◽  
Antonio Gonzalez Martin ◽  
...  
Keyword(s):  
European Society ◽  
State Of The Art ◽  
Opinion Leaders ◽  
European Network ◽  
Case Presentation ◽  
Gynaecological Oncology ◽  
Virtual Meeting ◽  
Different Types ◽  
Cancer Guidelines ◽  
First Time

This is a report from the European Society of Gynaecological Oncology State-of-the-Art Virtual Meeting held December 14–16, 2020. The unique 3-day conference offered comprehensive state-of-the-art summaries on the major advances in the treatment of different types of gynecological cancers. Sessions opened with a case presentation followed by a keynote lecture and interactive debates with opinion leaders in the field. The speakers also presented scientific reviews on the clinical trial landscape in collaboration with the European Network of Gynecological Oncological Trial (ENGOT) groups. In addition, the new ESGO-ESRTO-ESP endometrial cancer guidelines were officially presented in public. This paper describes the key information and latest studies that were presented for the first time at the conference.

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