scholarly journals Building Emerging Images with Tiled Orders and Posets

Mathematics ◽  
2021 ◽  
Vol 9 (20) ◽  
pp. 2536
Author(s):  
María Alejandra Osorio Angarita ◽  
Agustín Moreno Cañadas ◽  
Isaías David Marín Gaviria
Keyword(s):  
Experimental Results ◽  
Human Beings ◽  
Open Problems ◽  
Interactive Proofs ◽  
Gestalt Grouping ◽  
Human Interactive Proofs

We introduce an algorithm based on posets and tiled orders to generate emerging images. Experimental results allow concluding that images obtained with these kinds of tools are easy to detect by human beings. It is worth pointing out that the emergence phenomenon is a Gestalt grouping law associated with AI open problems. For this reason, emerging images have arisen in the last few years as a tool in the context of the development of human interactive proofs.

Development of a Robot for Evaluating Tennis Rackets

2001 ◽  
Vol 13 (1) ◽  
pp. 74-79 ◽  
Author(s):  
Junji Furusho ◽  
◽  
Masamichi Sakaguchi ◽  
Naoyuki Takesue ◽  
Fuminobu Sato ◽  
...  
Keyword(s):  
Human Muscle ◽  
Experimental Results ◽  
Human Beings ◽  
Simulation Results ◽  
Set Up

The development and simulation of robots that have athletic skill close to human beings is very much useful for testing and developing sport goods. This paper discusses the development and simulation of a tennis robot. The developed tennis robot has two joints controlled by a servolike human muscle, and its characteristics are satisfying and similar to a human. The simulation for the whole system including racket, ball and tennis robot is set up. The simulation results agree well with experimental results.

Script Familiarity and Its Effect on CAPTCHA Usability

2012 ◽  
Vol 4 (2) ◽  
pp. 74-87 ◽  
Author(s):  
Ashraf Khalil ◽  
Salam Abdallah ◽  
Soha Ahmed ◽  
Hassan Hajjdiab
Keyword(s):  
Language Proficiency ◽  
English Language ◽  
User Study ◽  
Research Area ◽  
English Language Proficiency ◽  
Web Based ◽  
Interactive Proofs ◽  
Proficiency Level ◽  
New Research ◽  
Human Interactive Proofs

Many web-based services such as email, search engines, and polling sites are being abused by spammers via computer programs known as bots. This problem has bred a new research area called Human Interactive Proofs (HIP) and a testing device called CAPTCHA, which aims to protect services from malevolent attacks by distinguishing bots from human users. In the past decade, researchers have focused on developing robust and safe HIP systems but have barely evaluated their usability. To begin to fill this gap, the authors report the results of a user study conducted to determine the extent that English language proficiency affects CAPTCHA usability for users whose native language is not English. The results showed a significant effect of participants’ English language proficiency level on the time the participant takes to solve CAPTCHA, which appear to be related to multiple usability issues including satisfaction and efficiency. Yet, they found that English language proficiency level does not affect the number of errors made while entering CAPTCHA or reCAPTCHA. The authors’ results have numerous implications that may inform future CAPTCHA design.

A DAMAGE MECHANISM OF MICRO-PARTICLES ON ARTICULAR CARTILAGE OF KNEE BY NANOINDENTATION

2017 ◽  
Vol 17 (08) ◽  
pp. 1750116 ◽  
Author(s):  
XINGDONG SUN ◽  
ZUNQIANG FAN ◽  
SHIZHONG ZHANG ◽  
DI WU ◽  
YUEXI ZHONG ◽  
...  
Keyword(s):  
Articular Cartilage ◽  
Water Content ◽  
Elastic Energy ◽  
Damage Mechanism ◽  
Experimental Results ◽  
Human Beings ◽  
Plastic Energy ◽  
Micro Particles ◽  
Partial Dehydration ◽  
Particle Attrition

Articular cartilage plays an important role in organism due to its excellent shock absorbing and buffering functions. Increasing problems about damages of articular cartilage are making a great deal of trouble to human beings. The damage mechanism of articular cartilage is very complicated and keeps unclear. In this research, the damage mechanism was investigated from the perspective of micro-particle attrition by nanoindentation experiments. The micro-particle was simulated by the indenter in experiments. The experimental results demonstrated that the load from micro-particle could not maintain when water content was adequate. However, the load could maintain and increase after dehydration. It was found that the partial surface of articular cartilage was crushed and adhered to the indenter. The plastic energy was bigger than elastic energy in the nanoindentation process. Therefore, water content was the crucial factor to protect the articular cartilage from damage. And the recurring partial dehydration owing to ongoing compression enhanced the damage of micro-particle to articular cartilage. This research may provide a new understanding to the damage mechanism of articular cartilage.

scholarly journals Proposing a Scheme for Human Interactive Proof Test using Plasma Effect

2019 ◽  
Vol 16 (2) ◽  
pp. 0409
Author(s):  
Ali Et al.
Keyword(s):  
Character Recognition ◽  
Optical Character Recognition ◽  
Rapid Development ◽  
Interactive Proof ◽  
Interactive Proofs ◽  
Optical Character ◽  
Base Text ◽  
Text Images ◽  
Human Interactive Proofs ◽  
Plasma Effect

            Human Interactive Proofs (HIPs) are automatic inverse Turing tests, which are intended to differentiate between people and malicious computer programs. The mission of making good HIP system is a challenging issue, since the resultant HIP must be secure against attacks and in the same time it must be practical for humans. Text-based HIPs is one of the most popular HIPs types. It exploits the capability of humans to recite text images more than Optical Character Recognition (OCR), but the current text-based HIPs are not well-matched with rapid development of computer vision techniques, since they are either vey simply passed or very hard to resolve, thus this motivate that continuous efforts are required to improve the development of HIPs base text. In this paper, a new proposed scheme is designed for animated text-based HIP; this scheme exploits the gap between the usual perception of human and the ability of computer to mimic this perception and to achieve more secured and more human usable HIP. This scheme could prevent attacks since it's hard for the machine to distinguish characters with animation environment displayed by digital video, but it's certainly still easy and practical to be used by humans because humans are attuned to perceiving motion easily. The proposed scheme has been tested by many Optical Character Recognition applications, and it overtakes all these tests successfully and it achieves a high usability rate of 95%.

scholarly journals Proposing a Scheme for Human Interactive Proof Test sing Plasma Effect

2019 ◽  
Vol 16 (2) ◽  
pp. 0409
Author(s):  
Ali Et al.
Keyword(s):  
Character Recognition ◽  
Optical Character Recognition ◽  
Rapid Development ◽  
Interactive Proof ◽  
Interactive Proofs ◽  
Optical Character ◽  
Base Text ◽  
Text Images ◽  
Human Interactive Proofs ◽  
Plasma Effect

            Human Interactive Proofs (HIPs) are automatic inverse Turing tests, which are intended to differentiate between people and malicious computer programs. The mission of making good HIP system is a challenging issue, since the resultant HIP must be secure against attacks and in the same time it must be practical for humans. Text-based HIPs is one of the most popular HIPs types. It exploits the capability of humans to recite text images more than Optical Character Recognition (OCR), but the current text-based HIPs are not well-matched with rapid development of computer vision techniques, since they are either vey simply passed or very hard to resolve, thus this motivate that continuous efforts are required to improve the development of HIPs base text. In this paper, a new proposed scheme is designed for animated text-based HIP; this scheme exploits the gap between the usual perception of human and the ability of computer to mimic this perception and to achieve more secured and more human usable HIP. This scheme could prevent attacks since it's hard for the machine to distinguish characters with animation environment displayed by digital video, but it's certainly still easy and practical to be used by humans because humans are attuned to perceiving motion easily. The proposed scheme has been tested by many Optical Character Recognition applications, and it overtakes all these tests successfully and it achieves a high usability rate of 95%.

Automatic Categorization of Reviews and Opinions of Internet E-Shopping Customers

2013 ◽  
pp. 154-163
Author(s):  
Jan Žižka ◽  
Vadim Rukavitsyn
Keyword(s):  
Machine Learning ◽  
Real World ◽  
Classification Accuracy ◽  
Large Data ◽  
Classification Problem ◽  
Experimental Results ◽  
Human Beings ◽  
Real World Data ◽  
Natural Languages ◽  
Automatic Categorization

E-shopping customers, blog authors, reviewers, and other web contributors can express their opinions of a purchased item, film, book, and so forth. Typically, various opinions are centered around one topic (e.g., a commodity, film, etc.). From the Business Intelligence viewpoint, such entries are very valuable; however, they are difficult to automatically process because they are in a natural language. Human beings can distinguish the various opinions. Because of the very large data volumes, could a machine do the same? The suggested method uses the machine-learning (ML) based approach to this classification problem, demonstrating via real-world data that a machine can learn from examples relatively well. The classification accuracy is better than 70%; it is not perfect because of typical problems associated with processing unstructured textual items in natural languages. The data characteristics and experimental results are shown.

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