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RISS 인기검색어
- 검색키워드
- 저자 : Zain Qureshi(Zain Qureshi ) (검색결과 2 건)
- 무료
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The mediterranean diet’s effect on stroke risk
Zain Qureshi(Zain Qureshi ),Dolores Becker(Dolores Becker ),Umar Farooq(Umar Farooq ) 한국축산식품학회 2022 Food and Life Vol.2022 No.2
The Mediterranean diet has been growing in popularity as preventive medicine has made way in the healthcare community. Doctors are telling patients to adopt this diet due to its role in lowering stroke rates and other cardiovascular diseases in both Italy and Greece. These two countries have some of the lowest stroke numbers in the world, and experts believe this is the result of the diet and lifestyle of the people of that region. The diet includes foods such as fruits, vegetables, nuts, fish, and olive oil, along with less cholesterol, saturated fats, and trans fats. These specific foods and combinations of foods include properties that can prevent high blood pressure. We will explore the capabilities of the Mediterranean diet in preventing stroke, and the importance of preventive medicine in healthcare.
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Attitude Control of Quadcopter Using Adaptive Neuro Fuzzy Control
Asif Sajjad Khan Anjum,Rana Ali Sufian,Zain Abbas,Ijaz Mansoor Qureshi 보안공학연구지원센터 2016 International Journal of Hybrid Information Techno Vol.9 No.4
This research contains the simulation and designing of Quadcopter using Adaptive Neuro Fuzzy Controller to control the altitude of quadcopter and obstacle detection. Now a day’s advancement in technology has made it possible to develop low power and lightweight with accurate sensors which are used with controllers for controlling, which have high processing power but small power consumption. This has been allowed for the development of complex and difficult control systems that can be implemented onboard UAV. With this combination of high precision and light weight, real-time onboard navigation or guidance and autonomous flights are now practical. This research work used a Fuzzy controller to control the pitch angle of quadcopter and avoiding obstacles. The fuzzy controller receives the sensory data and adjust the pitch accordingly until unless it finds the clear path. For detecting obstacles the IR sensors are used. For designing a fuzzy inference system used Sugeno model and used mat lab commands to design ANFIS as we have another method for designing by using a Simulink as well. ANFIS designed is based on kinematics and dynamics equation of quadcopter that will be able to control the pitch of quadcopter. Simulations results in mat lab show that by using ANFIS the performance of Quadcopter will be improved significantly.
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