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This paper presents an artificially intelligent Flash ADC with enhanced resolution from 4 to 10 bits. Unlike conventional approaches, this artificial intelligence (AI)‐based architecture avoids the use of many number of comparators in the Flash ADC when the ADC's resolution changes from 4 to 10 bits. This work initially gets the digital output of a 4‐bit existing Flash ADC as a training data set and then uses these 4‐bit output bits and sends to resolution enhancement logic (REL) block to vary its resolution without increasing the hardware complexities. After simulation, it is observed that the proposed ADC is of SNR of 24.13 dB for 4‐bit Flash ADC designed in SCL 180 nm CMOS technology and increases from 36.89 to 60.70 dB for 6 to 10‐bit resolution, respectively. The sampling frequency of the proposed architecture ranges from 3.6 to 1.04 GHz for a change in resolution from 4 to 10 bits. The FoM of 235 fJ/conv‐step in the training phase is obtained, and it varies from 56 to 20.3 fJ/conv‐step in the next phase of the testing and the prediction. The estimated area of the proposed 4‐to‐10‐bit variable resolution Flash ADC is 235.23×301.67 μm2. [ABSTRACT FROM AUTHOR]

This paper presents a novel jitter reduction technique for a voltage-controlled ring oscillator (VCRO). This technique is helpful in employing VCRO-based circuits like Analog to Digital Converter (ADC), Phase Locked Loop (PLL) and time-based circuits whose performance is severely degraded by high jitter. In the proposed technique, the jitter is extracted using Excess Phase Discrimination (EPD) block and is transformed into Pulse Width Modulated (PWM) signal, which is then fed into the Phase Compensator (PC) block. This block reduces the jitter by about half its value after enabling the Single Ended Injection Locking (SEIL). The proposed work is designed in SCL 180 nm CMOS technology at 1.8 V supply. On enabling the proposed circuit, the Root Mean Square (RMS) jitter reduces from 5.94 to 2.58 ps (about 56%) for VCRO running at 58 MHz and consumes a total power of 375.84 μ W. The overall performance of the proposed circuit does not vary much in the post-layout simulations, hence demonstrating the effectiveness of the proposed technique. [ABSTRACT FROM AUTHOR]

Introduction: Though, having right set of behavioural skills is always been a priority of all organizations, nevertheless, today's organizations are investing too much on behavioural skill training to safeguard their brand value, bring-up the work culture, maintaining reputation, etc. Behavioural skills plays a vital role in personal development and well-being at student level also. This paper identifies and analyzes the fourteen behavioural skills which are vital in the personal and professional excellence development of a student. Methods: Exhaustive literature review is done and expert opinions are taken to determine the behavioural skills. Interpretive Structural Modelling is performed to analyze and prioritize these skills into strategic, operational and performance outcomes. Results: Behavioral skills are not only depicted in ones' actions but also determines thought process and attitude of a person. Result of this research shows that time management, emotional intelligence, self-development, resilience, multitasking, and open mindedness of an individual are the key behavioural skills that trigger most behaviours and eventually influences the effectiveness of management of personal and professional life. Discussion: Every job requires specific skills to perform. There are certain skills that must be possessed by every student irrespective of the discipline. It include behavioural skills like human values, resilience, multitasking, communication, etc. Research on behavioral skills and its importance are available in literature. However, the literature is lacking in explaining the interplay of these skills in driving personal and professional journey of an individual. Such skills may not be mentioned in the recruitment advertisements but are vital to perform well. [ABSTRACT FROM AUTHOR]