User Profile Analysis for UAV Operators in a Simulation Environment

2015 ◽  
pp. 338-347 ◽  
Author(s):  
Víctor Rodríguez-Fernández ◽  
Héctor D. Menéndez ◽  
David Camacho
Keyword(s):  
Profile Analysis ◽  
User Profile ◽  
Simulation Environment

scholarly journals Adaptive method of similarity detection of user profiles on online social networks

2019 ◽  
Vol 68 (2) ◽  
pp. 43-57
Author(s):  
Michał Zabielski ◽  
Zbigniew Tarapata ◽  
Rafał Kasprzyk
Keyword(s):  
Social Networks ◽  
Network Theory ◽  
Online Social Networks ◽  
User Profile ◽  
Adaptive Method ◽  
User Profiles ◽  
Simulation Environment ◽  
Similarity Detection ◽  
The Web

The paper presents a method, based on graph and network theory, which allows to detect cloned user profiles on Online Social Networks. Moreover, an idea of similarity containers, which gives an opportunity to incorporate importance and context of data into a model, was introduced. The presented solutions were adapted to the idea of simulation environment, which will allow to detect a profile cloning process before that activity will be completely performed by an attacker. Keywords: Online Social Networks, user profile cloning, violation of privacy on the web.

scholarly journals A Novel Approach to Medical Tourism Support System

2021 ◽  
Vol 9 (VII) ◽  
pp. 942-944
Author(s):  
Ms. Pooja Sangitrao
Keyword(s):  
Medical Tourism ◽  
Profile Analysis ◽  
User Profile ◽  
Medical Support ◽  
Novel Approach ◽  
Definition Of ◽  
Medical Recommendations ◽  
Medical Tourist ◽  
Selection Of

A new model with decision support capabilities to assist medical tourism customers is to be develop. The analysis of popularity and quality of medical tourist applications are conducted. The information sources used to arrange medical tourism trips are given in the paper. The formation of the user's medical recommendations is based on the information about symptoms of the user, processing of this information, creation / search of the user medical card, search for the coincidence of the user's symptoms with the signs of illness, finding the best treatment option for the user. The system to support medical tourism consists of seven interdependence components: user interface, user profile analysis, definition of the user disease, selection of hospitals and doctors, communication with doctors and tour organization. The system to support medical tourism which provides the user with the all necessary information about the travel organization and medical support is described. Tasks that require further research are defined.

Applications of SIMS to electronic materials and devices

1992 ◽  
Vol 50 (2) ◽  
pp. 1682-1683
Author(s):  
S.F. Corcoran
Keyword(s):  
Depth Distribution ◽  
Secondary Ion Mass Spectrometry ◽  
Semiconductor Device ◽  
Electronic Materials ◽  
Profile Analysis ◽  
Semiconductor Industry ◽  
Small Diameter ◽  
Depth Resolution ◽  
Detection Sensitivity

Over the past decade secondary ion mass spectrometry (SIMS) has played an increasingly important role in the characterization of electronic materials and devices. The ability of SIMS to provide part per million detection sensitivity for most elements while maintaining excellent depth resolution has made this technique indispensable in the semiconductor industry. Today SIMS is used extensively in the characterization of dopant profiles, thin film analysis, and trace analysis in bulk materials. The SIMS technique also lends itself to 2-D and 3-D imaging via either the use of stigmatic ion optics or small diameter primary beams.By far the most common application of SIMS is the determination of the depth distribution of dopants (B, As, P) intentionally introduced into semiconductor materials via ion implantation or epitaxial growth. Such measurements are critical since the dopant concentration and depth distribution can seriously affect the performance of a semiconductor device. In a typical depth profile analysis, keV ion sputtering is used to remove successive layers the sample.

Identifying Suicide Typologies Among Trauma-Exposed Veterans

Crisis ◽  
2020 ◽  
Vol 41 (4) ◽  
pp. 288-295 ◽  
Author(s):  
Nadia Bounoua ◽  
Jasmeet P. Hayes ◽  
Naomi Sadeh
Keyword(s):  
Latent Profile Analysis ◽  
Suicide Attempts ◽  
Clinical Symptoms ◽  
Profile Analysis ◽  
Risky Behaviors ◽  
Self Report ◽  
Cross Sectional ◽  
Research Priority ◽  
Self Harm ◽  
And Behaviors

Abstract. Background: Suicide among veterans has increased in recent years, making the identification of those at greatest risk for self-injurious behavior a high research priority. Aims: We investigated whether affective impulsivity and risky behaviors distinguished typologies of self-injurious thoughts and behaviors in a sample of trauma-exposed veterans. Method: A total of 95 trauma-exposed veterans (ages 21–55; 87% men) completed self-report measures of self-injurious thoughts and behaviors, impulsivity, and clinical symptoms. Results: A latent profile analysis produced three classes that differed in suicidal ideation, suicide attempts and nonsuicidal self-injury (NSSI): A low class that reported little to no self-injurious thoughts or behaviors; a self-injurious thoughts (ST) class that endorsed high levels of ideation but no self-harm behaviors; and a self-injurious thoughts and behaviors (STaB) class that reported ideation, suicide attempts and NSSI. Membership in the STaB class was associated with greater affective impulsivity, disinhibition, and distress/arousal than the other two classes. Limitations: Limitations include an overrepresentation of males in our sample, the cross-sectional nature of the data, and reliance on self-report measures. Conclusion: Findings point to affective impulsivity and risky behaviors as important characteristics of veterans who engage in self-injurious behaviors.

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