Electromagnetic Weaponed Air Robot

Journal of Intelligent Systems with Applications ◽

10.54856/jiswa.202012127 ◽

2020 ◽

pp. 97-102

Author(s):

Mert Demir

Keyword(s):

Image Processing ◽

Target Tracking ◽

Control Algorithm ◽

Dynamic Constraints ◽

Image Processing Techniques ◽

User Control ◽

Aerial Robot ◽

Processing Techniques ◽

Range Limitation

This article proposes the integration of mini electromagnetic weapons into an air robot, autonomous targeting of possible targets with an electromagnetic weapon, and features that an electromagnetic armed aircraft robot should have. Unlike traditional user-controlled aerial robot approaches, it targets autonomous movements in the mission area with image processing techniques, so the robot can detect targets and accurately target targets without the need for user control. An autonomous targeting mechanism has been developed with an electromagnetic weapon integrated into the air robot to create a reference route. Various methods are proposed considering the range limitation of electromagnetic weapons and possible targeting errors of the robot user. For target tracking, a control algorithm has been developed to have the most appropriate targeting under the dynamic constraints of the robot and the user. Prototyping and experiments demonstrate the ability of an autonomous electromagnetic armed air robot with autonomous targeting system to address user and targeting problems.

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Electromagnetic Weaponed Anti Terrorism Robot

Journal of Intelligent Systems with Applications ◽

10.54856/jiswa.202105146 ◽

2021 ◽

pp. 24-30

Author(s):

Mert Demir

Keyword(s):

Artificial Intelligence ◽

Image Processing ◽

Target Tracking ◽

Control Algorithm ◽

Robot Design ◽

Literature Study ◽

Range Restriction ◽

Dynamic Constraints ◽

Artificial Intelligence Techniques ◽

New Literature

This article proposes the integration of electromagnetic weapons on a robot, design and construction of an electromagnetic armed robot, autonomous targeting of possible targets with the electromagnetic weapon, and the features a electromagnetic armed safety robot should have. Unlike traditional user-targeted field security robot approaches, the robot mentioned in this study detects potential threats in the task area with image processing and artificial intelligence techniques, so the user can accurately identify and autonomously target targets without the need for controlled targeting. Unlike today’s armed robots, an electromagnetic armed robot, which will be a new literature study, has been developed to create a reference path. An electromagnetic weapon that can be carried by a robot is produced and integrated into the robot and a new armed robot approach with electromagnetic weapon is introduced. Various methods are proposed considering the range restriction of electromagnetic weapons and possible targeting errors of the robot user. A control algorithm has been developed to have the most appropriate targeting under the dynamic constraints of the robot and user for target tracking. Prototyping and experiments show the ability of an autonomous security robot with an autonomous targeting system to troubleshoot user problems and targeting problems. In addition, various methods and recommendations are provided for the features that a electromagnetic armed security robot working in the field should have.

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Three-Dimensional Structure of Rotavirus-Fab Complex

Proceedings, annual meeting, Electron Microscopy Society of America ◽

10.1017/s0424820100179944 ◽

1990 ◽

Vol 48 (1) ◽

pp. 238-239

Author(s):

B.V.V. Prasad ◽

E. Marietta ◽

J.W. Burns ◽

M.K. Estes ◽

W. Chiu

Keyword(s):

Image Processing ◽

Smooth Surface ◽

Three Dimensional ◽

Outer Shell ◽

Dimensional Structure ◽

Structural Studies ◽

Cell Penetration ◽

Electron Cryomicroscopy ◽

Image Processing Techniques ◽

Processing Techniques

Rotaviruses are spherical, double-shelled particles. They have been identified as a major cause of infantile gastroenteritis worldwide. In our earlier studies we determined the three-dimensional structures of double-and single-shelled simian rotavirus embedded in vitreous ice using electron cryomicroscopy and image processing techniques to a resolution of 40Å. A distinctive feature of the rotavirus structure is the presence of 132 large channels spanning across both the shells at all 5- and 6-coordinated positions of a T=13ℓ icosahedral lattice. The outer shell has 60 spikes emanating from its relatively smooth surface. The inner shell, in contrast, exhibits a bristly surface made of 260 morphological units at all local and strict 3-fold axes (Fig.l).The outer shell of rotavirus is made up of two proteins, VP4 and VP7. VP7, a glycoprotein and a neutralization antigen, is the major component. VP4 has been implicated in several important functions such as cell penetration, hemagglutination, neutralization and virulence. From our earlier studies we had proposed that the spikes correspond to VP4 and the rest of the surface is composed of VP7. Our recent structural studies, using the same techniques, with monoclonal antibodies specific to VP4 have established that surface spikes are made up of VP4.

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A Survey on Detection and Classification of Brain Tumor Using Image Processing Techniques

International Journal of Scientific Research in Computer Science Engineering and Information Technology ◽

10.32628/cseit2063211 ◽

2020 ◽

pp. 967-973

Author(s):

V. Deepika ◽

T. Rajasenbagam

Keyword(s):

Image Processing ◽

Brain Tumor ◽

Soft Tissues ◽

Tumor Detection ◽

Tumor Classification ◽

Normal Brain ◽

Image Processing Techniques ◽

Normal Brain Function ◽

Processing Techniques ◽

The Brain

A brain tumor is an uncontrolled growth of abnormal brain tissue that can interfere with normal brain function. Although various methods have been developed for brain tumor classification, tumor detection and multiclass classification remain challenging due to the complex characteristics of the brain tumor. Brain tumor detection and classification are one of the most challenging and time-consuming tasks in the processing of medical images. MRI (Magnetic Resonance Imaging) is a visual imaging technique, which provides a information about the soft tissues of the human body, which helps identify the brain tumor. Proper diagnosis can prevent a patient's health to some extent. This paper presents a review of various detection and classification methods for brain tumor classification using image processing techniques.

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