10 research outputs found
A modified Transformation-Template based Synthesis using FREDKIN/SWAP Gates in Reversible Circuits
An Extended approach for Mapping Reversible Circuits to Quantum Circuits using NCV-|v1〉library
Testable Design for Positive Control Flipping Faults in Reversible Circuits
Fast computational power is a major concern in every computing system. The advancement of the fabrication process in the present semiconductor technologies provides to accommodate millions of gates per chip and is also capable of reducing the size of the chips. Concurrently, the complex circuit design always leads to high power dissipation and increases the fault rates. Due to these difficulties, researchers explore the reversible logic circuit as an alternative way to implement the low-power circuit design. It is also widely applied in recent technology trends like quantum computing. Analyzing the correct functional behavior of these circuits is an essential requirement in the testing of the circuit. This paper presents a testable design for the k-CNOT based circuit capable of diagnosing the Positive Control Flipping Faults (PCFFs) in reversible circuits. The proposed work shows that generating a single test vector that applies to the constructed design circuit is sufficient for covering the PCFFs in the reversible circuit. Further, the parity-bit operations are augmented to the constructed testable circuit that produces the parity-test pattern to extract the faulty gate location of PCFFs. Various reversible benchmark circuits are used for evaluating the experimental results to establish the correctness of the proposed fault diagnosis technique. Also a comparative analysis is performed with the existing work
Minimal test set generation for input stuck-at and bridging faults in reversible circuits
Integrating Natural Language Processing (NLP) with existing library framework in enhancing level of users' satisfaction
Introduction: Libraries are the storehouse of information instilling knowledge into human minds. The easy availability of information from online sources has barred users from visiting the library physically. To keep the users intact within the physical confines of a library, there is a need for libraries to evolve through the implementation of state-of-the-art techniques. Purpose- The purpose of this study is to develop a theoretical framework and conceptual background for applying natural language processing (NLP) in library and information science (LIS) to improve library services and related research. This study also aims to identify the LIS areas where NLP can use and implement one such area to provide efficient services. Research Problem- This study integrates natural language processing with the existing library framework to enhance the satisfaction level of the users. The objective- The primary objective of this study is to amalgamate natural language processing in library libraries by identifying the areas of improvement. Methodology- This study uses a conceptual paradigm by systematic observation of NLP facts in accentuating library services. This study aims to make libraries more efficient in providing dedicated resources and services to users by implementing NLP techniques. The data for this study were collected from secondary sources and analyzed to obtain meaningful insights. Findings- Considering the staggering amount of informative data that a library has to deal with, NLP can be brought to mainstream libraries to develop numerous models to provide better services to its users. NLP not only supplements library services but also helps make research more inclusive of applications such as keyword extraction, translation, and summarization. The library is a service-oriented organization, and to provide better services, NLP should be taught and implemented in information science education
Automatic brain tumor segmentation in MRI: Hybridized multilevel thresholding and level set
FAULT DETECTION SCHEME FOR NEGATIVE CONTROL FLIPPING FAULTS IN REVERSIBLE CIRCUITS
Today’s the CMOS technologies-based electronic devices are designed to be comprised of numerously efficient microchips to meet the demands of fast computational power, and there is a need to perform loss-less information computation. In this context, the reversible logic way of computation is a rapidly growing research area for low-power circuit design and lossless information computation. The conceptual reversible computation is widely applied in current technologies, such as quantum computing. The analysis and efficient functioning of the reversible logic depended on the various domains, such as reversible logic synthesis, verification, testing, and debugging. This article focuses on the domain of testing reversible logic circuits, which then examines a fault model referred to as the negative control flipping fault (NCFF) under the control flipping fault (CFF) model. In this paper, the proposed work necessitates the utilization of an automatic test pattern generation (ATPG) algorithm to generate a complete test set for detecting NCFFs. Moreover, the present work shows the correlation of NCFF with the existing fault models in reversible circuits by encompassing single missing gate fault (SMGF), multiple missing gate fault (MMGF), and partial missing gate fault (PMGF). Finally, experimental results are performed on several benchmark circuits to verify our proposed algorithm for fault detection of NCFF. Additionally, we have assessed the fault coverage capabilities of the existing fault models in reversible circuits with the help of a generated complete test set for NCFF in reversible circuits
An Adjacent Gray Code Pairing Approach for Fault Identification in Reversible Circuits
The classical computing works on the concept of irreversibility increasing the heat dissipation in computing machinery. The remarkable ability of reversible computing is to reduce this dissipation of heat and to generate lossless information. The reversible circuit is the way to implement the reversible function. Therefore, the perfection of the functional behavior of the circuit plays a vital part within the realm of testing. Occurrence of faults in the reversible circuits creates a dysfunctional behavior in the circuit. Here in this study, a fault detection approach has been devised for reversible circuits that effectively identifies all categories of Missing Gate Faults (MGFs), such as single, multiple, partial, and repeated gate faults, through the use of the Adjacent Gray Code Pairing (AGCP) technique. The approach includes a process of conversion of binary to gray codes and pairing of non duplicative consecutive adjacent codes by which test vectors can be achieved for finding the respective faults with a 50\% reduction in test set size. An experimental study and comparative analysis with existing methods have been carried out using a variety of standard reversible circuits
