Abstract
Computing Hardware plays an Evolutionary role in the near futuristic age of computing-informatics
trends for accomplish any multiplex and rational computational tasks. For any Computing Hardware taxonomy the
fabrication of superior and reliable digital circuits on any system board play’s a significant role to perform any
composite computational mechanisms or methodology. Because all fundamentals and Intermediate computational tasks
are fully depend on the working patterns and computational behaviour mechanisms of these elementary digital circuits.
The main and a composite part of the microprocessor name says ALU (Arithmetic Logic Unit) working mechanisms
are fully based upon the working pattern, nature and the underlying architecture of digital circuits. Digital Circuits
contains various varieties correspondent to their working behaviour and some primary components such as Logic Gates
(AND, OR, NOR, XOR, XNOR, NOT etc.), Flip-Flops (S-R, J-K, T, D), Counters, Multiplexers, De-Multiplexers,
Encoder Decoder and Registers etc. These primary components are responsible to makeup the architecture of any
Digital Circuits. In this paper we generally proposed four new flip-flops, their mechanisms, characteristic table and
their logic expressions as well. The working mechanisms and the computational behaviour of these all four flip-flops
about their working methodology or mechanisms and their bit storing patterns are detailed describing in the upcoming
sections of this paper. The first two newly flip-flops have capability that they behave or works as a buffer to store same
bit pattern in the remaining states which occurred previously, but next remaining two works different relative to these
first two. The next remaining two flip-flops are also storing same data bit patterns in the remaining states which
occurred previously, but these tendency will occur for only some input data bit patterns, but for some other remaining
data bit patterns it’s stored ‘1s’ for some input data items and complements of some previously occurred data as well