scholarly journals Minimum-Distortion Embedding

2021 ◽  
Vol 14 (3) ◽  
pp. 211-378 ◽  
Author(s):  
Akshay Agrawal ◽  
Alnur Ali ◽  
Stephen Boyd
Keyword(s):  
Minimum Distortion

GUTERL D-2

Alloy Digest ◽  
1981 ◽  
Vol 30 (4) ◽  
Keyword(s):  
Fracture Toughness ◽  
Compressive Strength ◽  
Corrosion Resistance ◽  
Physical Properties ◽  
Heat Treating ◽  
High Carbon ◽  
High Hardenability ◽  
Die Steel ◽  
High Chromium ◽  
Minimum Distortion

Abstract GUTERL D-2 is a high-hardenability tool and die steel of the high-carbon, high-chromium type. It has high compressive strength, his resistance to abrasion, minimum distortion in hardening but only fair toughness. Among its many uses are rolls, punches, shear blades, lathe centers and many types of cutting and forming dies. This datasheet provides information on composition, physical properties, hardness, and elasticity as well as fracture toughness. It also includes information on corrosion resistance as well as forming, heat treating, machining, and surface treatment. Filing Code: TS-380. Producer or source: Guterl Special Steel Corporation.

CYCLOPS SCK

Alloy Digest ◽  
1979 ◽  
Vol 28 (3) ◽  
Keyword(s):  
Heat Treatment ◽  
Wear Resistance ◽  
Physical Properties ◽  
Tool Steel ◽  
Cold Work ◽  
Heat Treating ◽  
Optimum Combination ◽  
Cold Work Tool Steel ◽  
Minimum Distortion

Abstract CYCLOPS SCK is a cold-work tool steel with a balanced composition to provide air hardening and an optimum combination of toughness, wear resistance and minimum distortion during heat treatment. Typical applications are shear blades, trimming dies and forming rolls, including grade rolls for cutlery and flatware. This datasheet provides information on composition, physical properties, hardness, and elasticity. It also includes information on forming, heat treating, and machining. Filing Code: TS-346. Producer or source: Cyclops Corporation.

DEWARD

Alloy Digest ◽  
1976 ◽  
Vol 25 (12) ◽  
Keyword(s):  
Heat Treatment ◽  
Fracture Toughness ◽  
Wear Resistance ◽  
Compressive Strength ◽  
Physical Properties ◽  
Heat Treating ◽  
Die Steel ◽  
Satisfactory Performance ◽  
Specialty Steel ◽  
Minimum Distortion

Abstract DEWARD is an oil-hardening, non-deforming, manganese die steel that is characterized by uniformity, good machinability and satisfactory performance in service. Its composition permits a relatively low hardening temperature to give minimum distortion after heat treatment and little danger of cracking. It has good wear resistance and gives excellent results when used for all kinds of intricate tools. This datasheet provides information on composition, physical properties, hardness, elasticity, and compressive strength as well as fracture toughness. It also includes information on forming, heat treating, and machining. Filing Code: TS-310. Producer or source: AL Tech Specialty Steel Corporation.

scholarly journals Lattice-Based Minimum-Distortion Data Hiding

2021 ◽  
pp. 1-1
Author(s):  
Jieni Lin ◽  
Junren Qin ◽  
Shanxiang Lyu ◽  
Shanxiang Lyu ◽  
Bingwen Feng ◽  
...  
Keyword(s):  
Data Hiding ◽  
Minimum Distortion

scholarly journals Optimum Bit-by-Bit Power Allocation for Minimum Distortion Transmission

2006 ◽  
Author(s):  
Arzu Karaer ◽  
Costas Georghiades
Keyword(s):  
Power Allocation ◽  
Minimum Distortion

scholarly journals Random Untargeted Adversarial Example on Deep Neural Network

Symmetry ◽  
2018 ◽  
Vol 10 (12) ◽  
pp. 738 ◽  
Author(s):  
Hyun Kwon ◽  
Yongchul Kim ◽  
Hyunsoo Yoon ◽  
Daeseon Choi
Keyword(s):  
Autonomous Vehicles ◽  
Deep Neural Networks ◽  
Generation Process ◽  
Research Attention ◽  
Disease Diagnostics ◽  
The Face ◽  
Adversarial Examples ◽  
Adversarial Example ◽  
Original Class ◽  
Minimum Distortion

Deep neural networks (DNNs) have demonstrated remarkable performance in machine learning areas such as image recognition, speech recognition, intrusion detection, and pattern analysis. However, it has been revealed that DNNs have weaknesses in the face of adversarial examples, which are created by adding a little noise to an original sample to cause misclassification by the DNN. Such adversarial examples can lead to fatal accidents in applications such as autonomous vehicles and disease diagnostics. Thus, the generation of adversarial examples has attracted extensive research attention recently. An adversarial example is categorized as targeted or untargeted. In this paper, we focus on the untargeted adversarial example scenario because it has a faster learning time and less distortion compared with the targeted adversarial example. However, there is a pattern vulnerability with untargeted adversarial examples: Because of the similarity between the original class and certain specific classes, it may be possible for the defending system to determine the original class by analyzing the output classes of the untargeted adversarial examples. To overcome this problem, we propose a new method for generating untargeted adversarial examples, one that uses an arbitrary class in the generation process. Moreover, we show that our proposed scheme can be applied to steganography. Through experiments, we show that our proposed scheme can achieve a 100% attack success rate with minimum distortion (1.99 and 42.32 using the MNIST and CIFAR10 datasets, respectively) and without the pattern vulnerability. Using a steganography test, we show that our proposed scheme can be used to fool humans, as demonstrated by the probability of their detecting hidden classes being equal to that of random selection.

scholarly journals Are Panoramic Radiographs Reliable to Diagnose Mild Alveolar Bone Resorption?

2011 ◽  
Vol 2011 ◽  
pp. 1-4 ◽  
Author(s):  
Larissa Semenoff ◽  
Tereza Aparecida Delle Semenoff ◽  
Fabio Luiz Miranda Pedro ◽  
Evaristo Ricci Volpato ◽  
Maria Aparecida de Andrade Moreira Machado ◽  
...  
Keyword(s):  
Bone Resorption ◽  
Bone Loss ◽  
Alveolar Bone ◽  
Treatment Plan ◽  
Dental Practice ◽  
Research Protocol ◽  
Inclusion Criteria ◽  
Panoramic Radiographs ◽  
Significant Difference ◽  
Minimum Distortion

It is extremely important to assess variations between the most used radiographs in dental practice, since minimum distortion on obtained images may change diagnosis, treatment plan, and prognosis for the patient. For this, the distance between the enamel-cementum junction and the alveolar bone crest was measured on conventional and digitized periapical, bitewing, and panoramic radiographs and compared among them. From a total of 1484 records, 39 sets of radiographs that fulfilled the inclusion criteria of the study sample were selected. The measurements were grouped according to the intensity of bone loss. Statistically significant difference was found in the averages of the measurements assessed in radiographs with absence of bone loss between conventional panoramic and periapical radiographs, between digitized panoramic and periapical radiographs and between digitized bitewing and panoramic radiographs. By analyzing the results of this work and considering the research protocol used, one can conclude that small losses in height of alveolar bone crest observed in panoramic radiographs should be cautiously evaluated, as they may be overestimated.

Minimum Distortion Point Tracking

2020 ◽  
Vol 35 (10) ◽  
pp. 11013-11025
Author(s):  
Jason Poon ◽  
Brian B. Johnson ◽  
Sairaj V. Dhople ◽  
Seth R. Sanders
Keyword(s):  
Point Tracking ◽  
Minimum Distortion

A novel image watermarking method based on center symmetric local binary pattern with minimum distortion

Optik ◽  
2019 ◽  
Vol 185 ◽  
pp. 972-984 ◽  
Author(s):  
Türker Tuncer ◽  
Mustafa Kaya
Keyword(s):  
Local Binary Pattern ◽  
Image Watermarking ◽  
Minimum Distortion
Sign in / Sign up

Export Citation Format

Share Document