The much recent global pandemic, COVID-19 has brought drastic changes to the livelihood of people from all avenues of life across the nation. As normalcy is being slowly restored, it is also essentially crucial that the health and wellness of members are ensured. Instead of the manual biometric system, facial recognition can be deployed to mark the presence of the members. Besides, a non-contact infrared sensor can be utilized to check for the body temperature of the individuals. If the body temperature exceeds the threshold value, an intimation will be sent to the higher authorities concerning the wellness of the individual, otherwise, their presence to the organization/institution will be noted. Furthermore, using a QR scanner, the health history of each person as per the Arogya S etu app will be taken into accord. The attendance checking feature has been clubbed with health verification so that every employee will mandatorily report before the system since presence for work is important to everyone. The data generated by the static portal setup is recorded by the device daily which will then be uploaded into a database and stored on the Cloud. The system can be further advanced by including a Bluetooth module for proximity.
NBTI (Negative Bias Temperature Instability) has emerged as the dominant PMOS device failure mechanism for sub100nm VLSI designs. There is little research to quantify its impact on skew of clock trees. This paper demonstrates a mathematical framework to compute the impact of NBTI on gating-enabled clock tree considering their workload dependent temperature variation. Circuit design techniques are proposed to deal with NBTI induced clock skew by achieving balance in NBTI degradation of clock devices. Our technique achieves up-to 70% reduction in clock skew degradation with miniscule (<0.1%) power and area penalty.
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