Benchmarking of standard-cell based memories in the sub-VT domain in 65-nm CMOS technology

In this paper, standard-cell based memories (SCMs) are proposed as an alternative to full-custom sub-VT SRAM macros for ultra-low-power systems requiring small memory blocks. The energy per memory access as well as the maximum achievable throughput in the sub-VT domain of various SCM architectures are evaluated by means of a gate-level sub-VT characterization model, building on data extracted from fully placed, routed, and back-annotated netlists. The reliable operation at the energy-minimum voltage of the various SCM architectures in a 65-nm CMOS technology considering within-die process parameter variations is demonstrated by means of Monte Carlo circuit simulation. Finally, the energy per memory access, the achievable throughput, and the area of the best SCM architecture are compared to recent sub-VT SRAM designs

SB-ATR FTIR Spectroscopic Monitoring of Free Fatty Acids in Commercially Available Nigella sativa (Kalonji) Oil

Free fatty acids (FFA) in Nigella sativa (N. sativa) commercial and seed oil were determined using single-bounce attenuated total reflectance (SB-ATR) Fourier transform infrared (FTIR) spectroscopy. Gravimetrical mixing was done by adding 0.1–40% oleic acids in neutralized N. sativa oil containing 0.1% FFA. FTIR spectroscopy technique and partial least square (PLS) calibration were used to detect the absorption region of carbonyl (C=O) which is in the range of 1690–1727 cm−1. The results of PLS calibration model and root mean square error of calibration (RMSEC) are 0.999 and 0.449, respectively. Comparing the FFA obtained in N. sativa oil by using FTIR with the FFA obtained using AOCS titrimetric method shows a positive correlation and confirms that the described method is a useful procedure