Evaluation of Anomaly Detection Algorithms for the Real-World Applications

2021 ◽  
Author(s):  
Marija Ivanovska ◽  
Janez Pers ◽  
Domen Tabernik ◽  
Danijel Skocaj
Keyword(s):  
Anomaly Detection ◽  
Real World ◽  
The Real ◽  
Detection Algorithms ◽  
Real World Applications

Folktales and Civil Rights

2014 ◽  
Author(s):  
Michael Suk-Young Chwe
Keyword(s):  
African American ◽  
Civil Rights ◽  
Civil Rights Movement ◽  
Real World ◽  
Strategic Thinking ◽  
The Real ◽  
Real World Applications ◽  
The 1960S ◽  
Brer Rabbit

This chapter examines African American folktales that teach the importance of strategic thinking and argues that they informed the tactics of the 1960s civil rights movement. It analyzes a number of stories where characters who do not think strategically are mocked and punished by events while revered figures skillfully anticipate others' future actions. It starts with the tale of a new slave who asks his master why he does nothing while the slave has to work all the time, even as he demonstrates his own strategic understanding. It then considers the tale of Brer Rabbit and the Tar Baby, along with “Malitis,” which tackles the problem of how the slaves could keep the meat and eat it openly. These and other folktales teach how inferiors can exploit the cluelessness of status-obsessed superiors, a strategy that can come in handy. The chapter also discusses the real-world applications of these folktales' insights.

scholarly journals On properties of cyberattacks and their nuances

2017 ◽  
Vol 1 (2) ◽  
pp. 76-90 ◽  
Author(s):  
Jassim Happa ◽  
Michael Goldsmith
Keyword(s):  
Real World ◽  
Design Methodology ◽  
Resource Constraints ◽  
Security Analysts ◽  
Content Type ◽  
The Real ◽  
Potential Value ◽  
Real World Applications ◽  
The Future ◽  
Attack Models

Purpose Several attack models attempt to describe behaviours of attacks with the intent to understand and combat them better. However, all models are to some degree incomplete. They may lack insight about minor variations about attacks that are observed in the real world (but are not described in the model). This may lead to similar attacks being classified as the same type of attack, or in some cases the same instance of attack. The appropriate solution would be to modify the model or replace it entirely. However, doing so may be undesirable as the model may work well for most cases or time and resource constraints may factor in as well. This paper aims to explore the potential value of adding information about attacks and attackers to existing models. Design/methodology/approach This paper investigates used cases of minor variations in attacks and how it may and may not be appropriate to communicate subtle differences in existing attack models through the use of annotations. In particular, the authors investigate commonalities across a range of existing models and identify where and how annotations may be helpful. Findings The authors propose that nuances (of attack properties) can be appended as annotations to existing attack models. Using annotations appropriately should enable analysts and researchers to express subtle but important variations in attacks that may not fit the model currently being used. Research limitations/implications This work only demonstrated a few simple, generic examples. In the future, the authors intend to investigate how this annotation approach can be extended further. Particularly, they intend to explore how annotations can be created computationally; the authors wish to obtain feedback from security analysts through interviews, identify where potential biases may arise and identify other real-world applications. Originality/value The value of this paper is that the authors demonstrate how annotations may help analysts communicate and ask better questions during identification of unknown aspects of attacks faster,e.g. as a means of storing mental notes in a structured manner, especially while facing zero-day attacks when information is incomplete.

Heterogeneous Computing and The Real-World Applications

2021 ◽  
Author(s):  
Viet Bui ◽  
Trung Pham ◽  
Huy Nguyen ◽  
Hoang Nhi Tran Gia ◽  
Tauheed Khan Mohd
Keyword(s):  
Real World ◽  
Heterogeneous Computing ◽  
The Real ◽  
Real World Applications

Object Detection-Based License Plate Localization and Recognition in Complex Environments

2020 ◽  
Vol 2674 (12) ◽  
pp. 212-223
Author(s):  
Ting Tao ◽  
Decun Dong ◽  
Shize Huang ◽  
Wei Chen ◽  
Lingyu Yang
Keyword(s):  
Object Detection ◽  
Real World ◽  
License Plate ◽  
License Plate Recognition ◽  
Complex Environments ◽  
Running Speed ◽  
The Real ◽  
Detection Algorithms ◽  
Great Progress ◽  
Bad Weather

Automatic license plate recognition (ALPR) has made great progress, yet is still challenged by various factors in the real world, such as blurred or occluded plates, skewed camera angles, bad weather, and so on. Therefore, we propose a method that uses a cascade of object detection algorithms to accurately and speedily recognize plates’ contents. In our method, YOLOv3-Tiny, an end-to-end object detection network, is used to locate license plate areas, and YOLOv3 to recognize license plate characters. According to the type and position of the recognized characters, a logical judgment is made to obtain the license plate number. We applied our method to a truck weighing system and constructed a dataset called SM-ALPR, encapsulating pictures captured by this system. It is demonstrated by experiment and by comparison with two other methods applied to this dataset that our method can locate 99.51% of license plate areas in the images and recognize 99.02% of the characters on the plates while maintaining a higher running speed. Specifically, our method exhibits a better performance on challenging images that contain blurred plates, skewed angles, or accidental occlusion, or have been captured in bad weather or poor light, which implies its potential in more diversified practice scenarios.

scholarly journals Improving Deep Object Detection Algorithms for Game Scenes

Electronics ◽  
2021 ◽  
Vol 10 (20) ◽  
pp. 2527
Author(s):  
Minji Jung ◽  
Heekyung Yang ◽  
Kyungha Min
Keyword(s):  
Computer Vision ◽  
Object Detection ◽  
Real World ◽  
Computer Games ◽  
Recognition Performance ◽  
Role Playing ◽  
Scene Analysis ◽  
Research Topics ◽  
The Real ◽  
Detection Algorithms

The advancement and popularity of computer games make game scene analysis one of the most interesting research topics in the computer vision society. Among the various computer vision techniques, we employ object detection algorithms for the analysis, since they can both recognize and localize objects in a scene. However, applying the existing object detection algorithms for analyzing game scenes does not guarantee a desired performance, since the algorithms are trained using datasets collected from the real world. In order to achieve a desired performance for analyzing game scenes, we built a dataset by collecting game scenes and retrained the object detection algorithms pre-trained with the datasets from the real world. We selected five object detection algorithms, namely YOLOv3, Faster R-CNN, SSD, FPN and EfficientDet, and eight games from various game genres including first-person shooting, role-playing, sports, and driving. PascalVOC and MS COCO were employed for the pre-training of the object detection algorithms. We proved the improvement in the performance that comes from our strategy in two aspects: recognition and localization. The improvement in recognition performance was measured using mean average precision (mAP) and the improvement in localization using intersection over union (IoU).

Directly bonding antimicrobial peptide mimics to steel and the real world applications of these materials

2019 ◽  
Vol 102 ◽  
pp. 299-304 ◽  
Author(s):  
Lily Riordan ◽  
Emily F. Smith ◽  
Stuart Mills ◽  
James Hudson ◽  
Sarah Stapley ◽  
...  
Keyword(s):  
Antimicrobial Peptide ◽  
Real World ◽  
Peptide Mimics ◽  
The Real ◽  
Real World Applications

scholarly journals EBUS in the real world: Applications at a tertiary hospital

2017 ◽  
Vol 132 ◽  
pp. 278
Author(s):  
N. Bailey ◽  
Z. Krisnadi ◽  
R. Kaur ◽  
M.J. Phillips ◽  
S. Mulrennan ◽  
...  
Keyword(s):  
Real World ◽  
Tertiary Hospital ◽  
The Real ◽  
Real World Applications

Reflections: A Lesson in Related Rates

1996 ◽  
Vol 89 (5) ◽  
pp. 390-393
Author(s):  
Joe D. Nichols
Keyword(s):  
Problem Solving ◽  
Advanced Placement ◽  
Real World ◽  
Basic Concept ◽  
First Year ◽  
General Application ◽  
The Real ◽  
Calculus Students ◽  
Real World Applications

My objective in teaching an Advanced Placement calculus course is not only to help students pass the AP examination each spring but also to help them develop insights into advanced problem solving and real-world applications. I continually search for examples in my students' daily environment that can help them make a tangible connection from the classroom textbook to the real world. In this article, I discuss a general application of a basic concept with which all first-year-calculus students must contend: the problem of related rates.

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