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Kumar, R., Sarupria, G., Panwala, V., Shah, S., Shah, N..  2020.  Power Efficient Smart Home with Voice Assistant. 2020 11th International Conference on Computing, Communication and Networking Technologies (ICCCNT). :1—5.

The popularity and demand of home automation has increased exponentially in recent years because of the ease it provides. Recently, development has been done in this domain and few systems have been proposed that either use voice assistants or application for controlling the electrical appliances. However; less emphasis is laid on power efficiency and this system cannot be integrated with the existing appliances and hence, the entire system needs to be upgraded adding to a lot of additional cost in purchasing new appliances. In this research, the objective is to design such a system that emphasises on power efficiency as well as can be integrated with the already existing appliances. NodeMCU, along with Raspberry Pi, Firebase realtime database, is used to create a system that accomplishes such endeavours and can control relays, which can control these appliances without the need of replacing them. The experiments in this paper demonstrate triggering of electrical appliances using voice assistant, fire alarm on the basis of flame sensor and temperature sensor. Moreover; use of android application was presented for operating electrical appliances from a remote location. Lastly, the system can be modified by adding security cameras, smart blinds, robot vacuums etc.

Erbay, C., Ergïn, S..  2018.  Random Number Generator Based on Hydrogen Gas Sensor for Security Applications. 2018 IEEE 61st International Midwest Symposium on Circuits and Systems (MWSCAS). :709–712.
Cryptographic applications need high-quality random number generator (RNG) for strong security and privacy measures. This paper presents RNG based on a hydrogen gas sensor that is fabricated by using microfabrication techniques. The proposed approach extracts the thermal noise information as an entropy source from the gas sensor that is non-deterministic during its operation and using hash function SHA-256 as post processing. This non-deterministic noise is then processed to acquire a random number set fulfilling the NIST 800-22 statistical randomness test suite and it demonstrates that a gas sensor based RNG can provide high-quality random numbers. Secure data transfer is possible by having this method directly without any other hardware where hydrogen gas sensor needs to be used such as petrochemical field, fuel cells, and nuclear reactors.