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1.
J Ultrasound ; 21(3): 173-182, 2018 Sep.
Article in English | MEDLINE | ID: mdl-29949119

ABSTRACT

Diagnostic ultrasound (US) images can be obtained from a quality device, in optimal working conditions, combined with the capable actions of the operator in tweaking the equipment's characteristics. The quality assurance (QA) is the topic of this review article, and it is addressed in an US practice through proper selection of the equipment when purchasing, and through care and preventive maintenance of the machine for ensuring accurate performance. For optimal US system functioning, QA steps carried out on the basis of a scheduled program are needed in any US practice or department. It is critical to confirm in a semiannual or annual basis that the image quality is maintained according to standards and any subtle change in equipment's functioning is detected and amended at an early stage. The use of test objects (also called US testing phantoms) is required above the basic level of QA testing. The scope of this review article is to inform the US user about necessary QA knowledge and at the same time, present the state of the art of the most suitable test methods for US QA. We referred to relevant publications, selected after performing a systematic literature search of the MEDLINE, EMBASE and COCHRANE databases, and also to the standards established by authoritative international societies.


Subject(s)
Quality Assurance, Health Care , Ultrasonography , Humans , Phantoms, Imaging , Quality Assurance, Health Care/methods , Ultrasonography/instrumentation
2.
Adv Space Res ; 18(1-2): 185-9, 1996.
Article in English | MEDLINE | ID: mdl-11538962

ABSTRACT

The aim of this paper is to illustrate the AGROBOT project. This project was initiated to develop a complete robotic system for the production cycle of tomato plants in a greenhouse environment. The robot architecture is based on a vehicle carrying the picking arm (a six degrees of freedom anthropomorphic arm with a gripper/hand), the head with the two micro cameras (for the color stereoscopic vision system) and the VME rack for the complete control of the system. The head was purposely developed to permit complete visibility of the overall area. The vision system drives the head to point the path during navigation or to explore the plants looking for the work objects. The robot will be able to navigate between rows of plants, stop near each plant and identify the relevant objects (fruits or flowers) so as to be able to pick ripe tomatoes or spray anticryptogamic substances on flowers. Due to its flexible architecture, the system can be suited to operate on other kinds of cultivation or could be modified to perform other kinds of operations such as transplanting or packaging. Also the field of action could be different from greenhouses: changing from a wheeled locomotion system to a tracked system, the robot will be able to operate on particularly irregular surfaces. These features make this robotic system particularly adapted to replace human from tiring and harmful tasks or operating within adverse environment.


Subject(s)
Agriculture/instrumentation , Artificial Intelligence , Robotics/instrumentation , Software , Systems Integration , Agriculture/methods , Automation , Equipment Design , Solanum lycopersicum
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