Loss Distribution Methodology with a Sense Of Emission Dispatch
Low Power Optimization Technique Based Linear Feedback Shift Register
Leakage Power Reduction Using Multi Modal Driven Hierarchical Power Mode Switches
Validation of IOV chain using OVM Technique
Performance of Continuous and Discontinuous Space Vector Pwm Technique for Open End Winding Induction Motor Drive
Electronic Circuit Design for Electromagnetic Compliance through Problem-Based Learning
Trioinformatics: The Innovative and Novel Logic Notation That Defines, Explains, and Expresses the Rational Application of The Law of Trichotomy for Digital Instrumentation and Circuit Design
Design Of a Novel Gated 5T SRAM Cell with Low Power Dissipation in Active and Sleep Mode
A Two Stage Power Optimized Implantable Neural Amplifier Based on Cascoded Structures
An Efficient Hybrid PFSCL based Implementation of Asynchronous Pipeline
This discourse provides a deeper epistemological rational for the novel discipline of “Trioinformatics” through the use of “Trioengineering”. Trioengineering uses of the novel mathematical “Ambitation” or “Neuromathematical Neuroengineering Notation”. This specialized operation that is the Trioinformatics article appeared in the March–May imanager’s Journal on Circuits and Systems. Trioengineering use of the neuromathematics “Ambitation” is the holistic, collaborative, and comprehensive expression of Trioinformatics as a sequential sequence of inquiry into a precise research analysis methodology. Neuroengineering is an innovative way of explaining the transition from trichotomous logic (Osler, 2015) into trichotomous Triple–I (Osler, 2013d) research questions and associated instrumentation [first introduced in the i-manager’s Journal on Mathematics as a part of the Tri–Squared Test (Osler, 2012a)].Trioinformatics is an in–depth way of symbolically illustrating the law of trichotomy and a mathematically–grounded rational technique for explaining the ternary nature of electronic circuitry (Osler, 2015). The use of the Trioinformatics also adds value to investigative inquiry through the efficacy of digital instruments and tools via eduscientifically–engineered (Osler, 2013a) research designs (Osler, 2015).
Nowadays, in many applications, the Permanent Magnet Synchronous Motor (PMSM) has become an alternative to induction machines due to its reliability and excellent dynamic performance. Therefore, the PMSM are being used in the large variety of applications, especially in automotive or high power traction systems. In this motor, the diagnosis of magnetic status has become a challenging task for many researchers since a decade. Therefore, in this research paper an attempt has been made to solve the above problem and trying to diagnose magnetic demagnetization in the early stage precisely. The magnetic demagnetization of the PMSM has been diagnosed with the help of a proposed simulation model. In the simulation model, various stages of magnetic demagnetizations have been created by varying some physical parameters and have been diagnosed in the early stages by applying advanced wavelet transform technique. For diagnosis of magnetic demagnetization, two approaches have been used; first is the time domain technique and second is the time-frequency domain technique.
As an alternative to CMOS-VLSI, researchers have proposed new technologies like FINFET, CNTFET, MTJ to reduce the scalability of the device. A new computing paradigm with quantum dots called Quantum dot Cellular Automata (QCA) is a polarization based digital logic architecture. QCA cell is the basic unit to build logic gates and devices in quantum domain. It proposes an effective design of logic gates and arithmetic circuit using QCA. Here the half and full adder is designed using minimum number of QCA cells with no crossover and compared with previous results. So these designs can be used to construct complex circuits. The simulations of the present work have been carried out by means of QCA designer tools. The simulation results help to implement large digital circuits in nanoscalerange.
Induction motors are the one of the most important production machines of any industry around the world. Therefore, the condition monitoring of induction motors is very important for successful and profitable running of an industry. Broken rotor bars are one of the critical health problems of any induction motor. To tackle this, application of Stockwell- Transform (ST) is presented in this paper. ST has been applied on the simulated signal of rotor broken bar and the results are compared with the Fast Fourier Transform method, which is a frequency domain analysis method. Normally, frequency domain analysis fails to detect the broken bar of the rotor if the severity of damage is low. The results obtained by applying ST confirms that the ST transform is able to detect the breakage of rotor bar better if the damage level is small.
The regularly increasing complexity and size of the designs faces various issues with traditional verification methods. To address this issue a reuse-oriented, verification methodology should be adopted which is built on the rich semantic support of a standard language. This paper presents a design of a 16 bit RISC processor with 15 instructions. The design is described in each module and the performance of the design is also presented in convenient manner. Although the design cycle takes time, but more time is required for verification. To perform verification process, verification environment is built for few modules of this RISC processor using SystemVerilog. Among various verification methodologies here a simple approach of verification is presented.
