NASA CFD Vision 2030 Visualization and Knowledge Extraction: Panel Summary from AIAA AVIATION 2015 Conference

2016 ◽  
Author(s):  
Earl P. Duque ◽  
Scott T. Imlay ◽  
Sean Ahern ◽  
Chen Guoning ◽  
David L. Kao
Keyword(s):  
Knowledge Extraction ◽  
Vision 2030 ◽  
Panel Summary

Role of Recruitment and Qualification Centers in Achieving Vocational Qualification of Saudi Woman in the Light of Saudi Vision 2030

2019 ◽  
Vol 9 (4) ◽  
pp. 104-118
Author(s):  
Fatma Abdelrazek Mohamed Mohamed ◽  
Nawal Abdulaziz Mohamed Al Rubaie
Keyword(s):  
Vocational Qualification ◽  
Saudi Women ◽  
Item Questionnaire ◽  
Vision 2030 ◽  
Descriptive Approach

Abstract This study aims to investigate the role of recruitment and qualification centers in achieving vocational qualification for Saudi women in the light of Saudi Vision 2030 and to identify the obstacles that limit the work of recruitment and qualification centers and suggested solutions are made for the development of these centers. Survey descriptive approach was utilized through designing 58-item questionnaire divided into five domains. The sample comprised (87) of the employees of recruitment and qualification centers in Riyadh. The results indicated that the most important roles of recruitment and qualification centers are the establishment of exhibitions that offer craft products prepared by Saudi women, investigating the vocational abilities and tendencies of Saudi women, and the sensitization of Saudi women to the job ethics and the importance of commitment to these ethics. The most important obstacles that limit the development of these centers are the low capacity for all applicants, the low spread of recruitment and qualification centers across the Kingdom. The study recommended the need to employ specialized cadres to increase the efficiency of recruitment and qualification centers, increasing the support for recruitment and qualification centers for Saudi women, and briefing Saudi women to the services provided by these centers.

A Multi-Language System For Knowledge Extraction In E-Learning Videos

2006 ◽  
Vol 3 (1) ◽  
pp. 48-55
Author(s):  
Aparesh Sood ◽  
◽  
Ankush Mittal ◽  
Divya Sarthi ◽  
◽  
...  
Keyword(s):  
Knowledge Extraction ◽  
Language System ◽  
E Learning

Social and Occupational Adaptation of Saudi Youth in the Localization Program Jobs Based on Saudi Vision 2030

2020 ◽  
Vol 36 (3) ◽  
pp. 375-392
Author(s):  
سعود القوس
Keyword(s):  
Occupational Adaptation ◽  
Vision 2030

تهدف هذه الدراسة إلى تقصي مدى تكيف الشباب السعودي اجتماعيًّا ووظيفيًّا في وظائف التوطين وفقًا لرؤية المملكة 2030، والتأكد من مدى وجود فروق ذات دلالة إحصائية تعزى لمتغيرات الجنس والمستوى التعليمي، ومستوى الدخل الشهري لأفراد العينة؛ ولتحقيق هذه الأهداف استخدم الباحث المنهج الوصفي، مع الأخذ بطريقة المسح الاجتماعي من خلال العينة الممثلة لمجتمع البحث، واستخدم الباحث في جمع البيانات المطلوبة استبانة مؤلفة من 32 فقرة تقيس أربعة أبعاد للتكيف، وتوصلت الدراسة إلى أن المتوسط العام لتكيف الشباب السعودي في وظائف التوطين هو 3.36، ويقع في فئة «متوسط». وتشير استجابات أفراد العينة بخصوص أبعاد التكيف الأربعة إلى أن الشباب السعودي يتكيف ذاتيًّا واجتماعيًّا بمستوى «مرتفع» ويتكيف اقتصاديًّا ووظيفيًّا بمستوى «متوسط». كما وافق أفراد العينة على جميع عبارات معوقات التكيف بنسب مرتفعة، وخلصت الدراسة من مجمل النتائج المتعلقة بأبعاد التكيف ومعوقاته إلى أن الأسباب التي جعلت الشباب السعودي لا يصل إلى المستوى المرتفع للتكيف في وظائف التوطين لا تعود إلى أسباب ذاتية واجتماعية، وإنما تعود إلى أسباب اقتصادية ووظيفية تتعلق ببيئة العمل في المقام الأول، وقد اكتشفت الدراسة وجود فروق ذات دلالة إحصائية للتكيف الاجتماعي والوظيفي للشباب السعودي في وظائف التوطين لصالح الإناث والحاصلين على مؤهلات أقل وذوي الدخول الأعلى، وأوصت الدراسة في ضوء نتائجها بعدد من التوصيات.

Evaluating the readiness of mobile technology in Saudi Arabia: An Integrative Perspective with respect to e-health (Preprint)

2020 ◽  
Author(s):  
Fahad Alanezi
Keyword(s):  
Saudi Arabia ◽  
Health System ◽  
Mobile Phones ◽  
Personal Data ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Health Apps ◽  
History Of ◽  
Vision 2030 ◽  
Awareness Programs

UNSTRUCTURED E-health system is emerging and providing health services and solutions through different electronic gadgets. Saudi Arabia has launched a program called Saudi Arabia vision 2030, in which providing state-of-the-art health facilities to their citizen is of topmost priority. After all the efforts, the residents of Saudi Arabia are still reluctant for the adaptation of e-health system. The current study was conducted to evaluate the obstacle in adoption of the e-health system through the mobile phones. The current study was cross-sectional survey and was conducted by developing a self-administered structured questionnaire asking the utilization of mobile phone in state of health emergency prior to ask any medical history. Majority of the participants was married and doing jobs in different firms and have their personal mobile phones (p = 0.100, > 0.05) which indicates easily access to the e-health apps. The majority of the participants suffers from either obesity or high blood pressure (p = 0.018, < 0.05) regardless of either history of mental disorder or other family history of mental diseases. The pattern of diseases with mental disorders correlate well with adoption of e-health in government policies. The obstacles in adopting e-health includes fear of the loss of personal data and information (p = 0.0401, < 0.05). Moreover, they did not trust on online medications as the doctor cannot prescribe medicines without seeing physical health of the patient. The current study concluded that by making improvement in policies and proper commercializing the e-health apps together with awareness programs can boast the adoption of e-health in Saudi Arabia.

scholarly journals Context-Aware Holographic Communication Based on Semantic Knowledge Extraction

2021 ◽  
Author(s):  
Agata Manolova ◽  
Krasimir Tonchev ◽  
Vladimir Poulkov ◽  
Sudhir Dixir ◽  
Peter Lindgren
Keyword(s):  
Deep Neural Networks ◽  
Data Gathering ◽  
Communication Technologies ◽  
Knowledge Extraction ◽  
Semantic Knowledge ◽  
Business Model Innovation ◽  
Context Aware ◽  
Human Body Model ◽  
Network Resource ◽  
Body Model

AbstractAugmented, mixed and virtual reality are changing the way people interact and communicate. Five dimensional communications and services, integrating information from all human senses are expected to emerge, together with holographic communications (HC), providing a truly immersive experience. HC presents a lot of challenges in terms of data gathering and transmission, demanding Artificial Intelligence empowered communication technologies such as 5G. The goal of the paper is to present a model of a context-aware holographic architecture for real time communication based on semantic knowledge extraction. This architecture will require analyzing, combining and developing methods and algorithms for: 3D human body model acquisition; semantic knowledge extraction with deep neural networks to predict human behaviour; analysis of biometric modalities; context-aware optimization of network resource allocation for the purpose of creating a multi-party, from-capturing-to-rendering HC framework. We illustrate its practical deployment in a scenario that can open new opportunities in user experience and business model innovation.

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