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The human factor in licensing and operating the next generation of nuclear plants
As human factors specialists working at the intersection of human performance and nuclear operations, we are witnessing one of the nuclear sector’s most significant transitions in decades. The emergence of small modular reactors, microreactors, and other advanced designs is reshaping the industry’s landscape. Digital instrumentation and controls, passive safety systems, and increased automation are creating opportunities for greater safety margins and more flexible operation. These same features also fundamentally redefine what it means to “operate” a nuclear plant. Interactions among human roles, automation, and passive systems shape how people maintain awareness, exercise judgment, and intervene when necessary. These developments affect both operational realities and the regulatory foundations on which nuclear safety is built.
B. Juste, J. I. Villaescusa, R. Tortosa, G. Verdú
Nuclear Technology | Volume 168 | Number 1 | October 2009 | Pages 249-252
Radiography | Special Issue on the 11th International Conference on Radiation Shielding and the 15th Topical Meeting of the Radiation Protection and Shielding Division (Part 1) / Radioisotopes | doi.org/10.13182/NT09-A9135
Articles are hosted by Taylor and Francis Online.
This paper validates a technique to add statistical noise to a computed radiography (CR) image in order to simulate accurately how the same image would appear if taken at a reduced tube current. To that end, a noise addition simulation software has been developed in order to create lower-dose pediatric CR selecting the desired lower X-ray tube current.The effect of different tube current settings (in milliampereseconds) on image quality has been evaluated using the CDMAM 3.4 phantom, and the obtained results show good agreement between the simulated and real images in terms of noise measurement. The new CR images allow medical researchers to study how lower dose affects the patient diagnosis without taking new images.The developed algorithm will be used in future medical research on determining the minimum tube currents necessary for adequate diagnoses.