Variation resilient low-power memristor-based synchronous flip-flops: design and analysis

Microsystem Technologies - Flip-flops are the basic digital components for all types of complex digital electronics systems and sequential logic circuits. In this paper, new nonvolatile, low power,...     

I-convergence in probabilistic n-normed space

In this article we introduce the notion of I-Cauchy sequence and I-convergent sequence in probabilistic n-normed space. The concept of I*-Cauchy sequence and I*-convergence in probabilistic n-normed space are also introduced and some of their properties related to these notions have been established.     

Scheduling light-trails on WDM rings

We consider the problem of scheduling communication on optical WDM (wavelength division multiplexing) networks using the light-trails technology. We seek to design scheduling algorithms such that the given transmission requests can be scheduled using a minimum number of wavelengths (optical channels). We provide algorithms and close lower bounds for two versions of the problem on an n$n$ processor linear array/ring network. In the stationary   version, the pattern of transmissions (given) is assumed to not change over time. For this, a simple lower bound is c$c$, the congestion or the maximum total traffic required to pass through any link. We give an algorithm that schedules the transmissions using O(c+logn)$O(c+logn)$ wavelengths. We also show a pattern for which Ω(c+logn/loglogn)$\Omega (c+logn/loglogn)$ wavelengths are needed. In the on-line   version, the transmissions arrive and depart dynamically, and must be scheduled without upsetting the previously scheduled transmissions. For this case we give an on-line algorithm which has competitive ratio Θ(logn)$\Theta (logn)$. We show that this is optimal in the sense that every on-line algorithm must have competitive ratio Ω(logn)$\Omega (logn)$. We also give an algorithm that appears to do well in simulations (for the classes of traffic we consider), but which has competitive ratio between Ω(log²n/loglogn)$\Omega ({log}^{2}n/loglogn)$ and O(log²n)$O\left({log}^{2}n\right)$. We present detailed simulations of both our algorithms.     

Synthesis,characterization and corrosion performance evaluation of DDR membrane for H2 separation from HI decomposition reaction

An all silica DDR (deca dodecasil rhombohedral) zeolite membrane with dense, interlocked structure has been developed for separation of H₂ from HI/I₂ mixture of HI decomposition reaction. In this work, the DDR zeolite membrane was synthesized on the seeded clay-alumina substrate within 5 days. The seeds were synthesized by sonication mediated hydrothermal process within short crystallization time which enhanced the nucleation for the membrane growth. The synthesized membranes along with seed crystals were characterized by X-ray diffraction (XRD), Fourier transform infrared (FTIR), Field emission scanning electron microscope (FESEM) and energy dispersive X-ray spectroscopy (EDAX). The selectivity of hydrogen with respect to CO₂ and Ar was evaluated by single gas permeation studies at room temperature. The tests for corrosion resistance were carried out upto 120 h with both support and DDR membrane at 130 °C which confirmed the stability of membrane under the harsh HI/I₂ environment.     

Analysis of Fatty Acid and Lignan Composition of Indian Germplasm of Sesame to Evaluate Their Nutritional Merits

An attempt was made to individually analyze a germplasm collection of 54 indigenous Indian sesame cultivars for fatty acid and lignan composition of their seed oil by gas chromatography and high performance liquid chromatography, respectively. The entries varied in their fatty acid and lignan composition. The mean percentage contents of palmitic, stearic, oleic, linoleic and α‐linolenic acids ranged between 10–22, 5–10, 38–50, 18–43 and less than 1 whereas sesamol, sesamin and sesamolin scored between 3–37, 27–67, 20–59 of the total percentage of lignan, respectively. The highest percentage of α‐linolenic acid (ALA) was obtained in Var‐9 (1.3 % of the total fatty acids). Among the lignans, high sesamin content is considered to be significant, particularly in terms of long shelf life and nutraceutical value of sesame seed oil. The study has broadened our understanding related to differential biochemical composition of the rich sesame germplasms, thereby providing us with a useful groundwork for identifying potential targets and suitable cultivars for genetic engineering approaches to be undertaken in order to improve the nutritional quality of sesame oil, which in turn would be beneficial towards human health.     

Spectral characteristics of a binary dye-mixture laser

We have investigated laser action in a binary mixture of dyes, Rh-6G and DCM, resulting in tunable laser emission over an extended frequency region. The two dyes absorb the same pump radiation but fluoresce over frequency ranges that are shifted with respect to each other, thereby resulting in extended tunability. Following a time-dependent analysis of a rate-equation model that describe the operation of such a laser, theoretical estimates for optimum dye concentrations and the corresponding extension of the laser tuning range have been obtained.     

Modeling Custom Digital Circuits for Test

Models meant for logic verification and simulation are often used for Automatic Test Pattern Generation (ATPG). For custom digital circuits, these models contain many tristate devices that tend to lower coverage for stuck-faults. Additionally, these tristate devices contribute to increased ATPG runtimes, fewer generated test sequences, and an overall lower test quality. The circuit under test is partitioned into channel connected sub-networks (CCSN) that consist of transistors that are connected at their source or drain terminals, except when these terminals are power, ground or primary inputs. Unlike other published work, algorithms presented in this paper analyze each CCSN in the context of its environment, thereby capturing the logical relationships among its input signals. Other algorithms presented include identification and modeling of embedded latches, clock generators and memory circuits. An abstract array model for memory that reduces the size of the model and increases simulation speed is also presented. When one specific feature of the algorithm was disabled, experimental results showed higher ATPG runtimes of about 35%, and an average decrease in fault coverage of around 15–20%. For the largest data cache, the memory modeling algorithm decreased the number of primitives from 1.23 million to 139 thousand.     

MARS: A mergers and acquisitions reasoning system

Mergers and acquisitions (M&A) are currently revolutionizing the structure of corporate U.S.A. and annually involve deals totalling billions of dollars. Consequently, it is an area of intense activity and interest within the financial community. The process of planning an M&A is enormously complex and involves sophisticated reasoning and planning, by several parties such as the raider, the target company, investment banks, etc. Computer based tools are often invaluable for planning several stages of an M&A, such as generating forecasted cash flows. Current computer aids for M&A however do not provide adequate support for many essential features such as real time planning, reasoning under uncertainty, nonmonotonic inference, case-based reasoning, etc. MARS is a prototype M&A reasoning tool developed at General Electric Corporate R&D that attempts to provide such features in an integrated environment. MARS both simulates and provides advice regarding the complex reasoning and planning involved in an M&A deal. In doing so, it provides an excellent test bed architecture for the testing, development and integration of several ideas from artificial intelligence. MARS is implemented in COMMON LISP using RUM [15] on top of KEE [18]. RUM, a development environment for reasoning under uncertainty is based on Bonissone's theory of plausible reasoning [2–4] and was also developed at General Electric Corporate R&D.     

Generation of Arylated Quinones by Iron‐Catalyzed Oxidative Arylation of Phenols: Formal Synthesis of Phellodonin,Sarcodonin ε, Leucomelone and Betulinan A

Biologically and pharmaceutically relevant arylated quinones (Quin‐Ar) have been synthesized via direct C H arylation of a variety of phenols using arylboronic acids. An inexpensive, environmentally friendly iron catalyst, ferric sulphate, Fe₂(SO₄)₃, was employed in this operationally simple and efficient method.