RFID chip card modules from employee identity cards as OSL based retrospective dosimeters

Jakathamani, S.; Annalakshmi, O.; Mathiyarasu, R.; Jose, M.T.; Venkatraman, B.

doi:10.1016/j.nimb.2020.11.013

Cited by 4 publications

(2 citation statements)

References 17 publications

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“…The ubiquity of mobile and electronic devices and especially of cell phones makes their components potentially powerful fortuitous dosimeters: the glass of the touchscreen displays and screen protectors; the aluminium or other metal oxides in the so-called surface mount devices (SMD), which include surface mount resistors (SMR), inductors (IND), and capacitors (CAP); and the material (filler) used to encapsulate microchips within an integrated circuit (IC) package [117]. Radiation sensitive filler material is also used to encapsulate chips found inside credit cards, electronic identity cards, and SIM cards [88,97,118]. Fig.…”

Section: Features Of the Rd Assaysmentioning

confidence: 99%

Reflections on the future developments of research in retrospective physical dosimetry

Fattibene¹,

Trompier²,

Bassinet³

et al. 2023

Physics Open

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Section: Features Of the Rd Assaysmentioning

confidence: 99%

Reflections on the future developments of research in retrospective physical dosimetry

Fattibene¹,

Trompier²,

Bassinet³

et al. 2023

Physics Open

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“…The sensor network refers to a huge network formed by combining various information sensor equipment and Internet. The construction of IoT depends on physical signal sensor, radio frequency identification (RFID) [ 8 ], and global positioning system (GPS) [ 9 ] to acquire target information in real time. After that, it realizes the connection between the target and the network and then achieves the interconnection among everything and intelligent recognition and management of the interconnection between human and things, which is the extension and expansion of Internet technology [ 10 – 12 ].…”

Section: Introductionmentioning

confidence: 99%

Enterprise Information Security Management Using Internet of Things Combined with Artificial Intelligence Technology

Hong-bin

Bai

2022

Computational Intelligence and Neuroscience

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This work is conducted to deal with the information security of enterprise management under the background of current global informatization, popularize the modern Internet of Things (IoT) management technology of enterprises, and maintain the information security of enterprises and provide modern upgrading means for enterprise management. In this work, it firstly introduces the application scenarios of current Internet and Artificial Intelligence (AI) technology and expounds the IoT technology. Secondly, the enterprise management platform is designed, the requirements of enterprise modern management are analyzed, and then the design requirements of system functions and the design of the information security architecture of the IoT are proposed. Furthermore, an enterprise information security management platform is designed, which covers four parts: IoT data mining management, equipment management, key management, and database management. In addition, the performance of the security management platform is tested from four parts: concurrency testing, stress testing, large data volume testing, and security testing. The research results show that the IoT-based enterprise information security management platform designed in this work under the background of AI has perfect functions and stable performance of each module. Concurrency testing, stress testing, large data volume testing, and stability testing are performed on it, and the success rate of the platform in each task reaches 100%. The average response time of concurrent testing and stress testing is about 0.13 seconds, and that of the event entry events is 0.25 seconds. The central processing unit (CPU) occupancy rate in each monitoring task is always lower than 20%. Therefore, it is determined that the performance of the IoT-based enterprise information security management platform designed in this work is sufficient to meet the daily management of enterprises. This work can provide a guarantee for enterprise information security management using AI technology, setting an example for future related research.

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Surface mount multilayer ceramic capacitors as optically stimulated luminescent dosimeters

Panda,

Joshi,

Annalakshmi

et al. 2023

Radiation Physics and Chemistry

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RFID chip card modules from employee identity cards as OSL based retrospective dosimeters

Cited by 4 publications

References 17 publications

Reflections on the future developments of research in retrospective physical dosimetry

Reflections on the future developments of research in retrospective physical dosimetry

Enterprise Information Security Management Using Internet of Things Combined with Artificial Intelligence Technology

Surface mount multilayer ceramic capacitors as optically stimulated luminescent dosimeters

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