264 research outputs found
Uniqueness of meromorphic functions sharing one value with their derivatives
No full textIn the paper we deal with the uniqueness problem of meromorphic functions sharing a finite value with their derivatives. The results in this paper improve those given by Lahiri-Sarkar, Liu-Yang and others. In addition, a recent result of the first present author is complemented in this paper
A uniqueness result related to certain non-linear differential polynomials sharing the same 1-points
No full textAbstract
The purpose of the paper is to study the uniqueness of meromorphic function when certain non-linear differential polynomials share the same 1-points. As a consequence of the main result we improve and supplement the following recent result: [LAHIRI, I.—PAL, R.: Nonlinear differential polynomials sharing 1-points, Bull. Korean Math. Soc. 43 (2006), 161–168].</jats:p
Uniqueness and set sharing of derivatives of meromorphic functions
No full textAbstract
We prove some uniqueness theorems concerning the derivatives of meromorphic functions when they share two or three sets which will improve some existing results.</jats:p
LPWAN Performance Enhancement for IoT in the Smart Grid
No full textWith the proliferation of IoT devices across the globe, the adoption of IoT related technologies has been increasing rapidly. Newer technologies which fall in the category of Low Power Wide Area Network (LPWAN) have increased this adoption even further. A lot of research is being done in LPWAN licensed band as well as unlicensed band technologies to make them more efficient, such as in terms of power consumption and latency. In this thesis the author has focused on cellular IoT technologies (licensed spectrum LPWAN technologies), to improve the end-to-end behavior. The focus is to see and improve the effect of the device on the network behavior. We have done tests on different networks and went through the 3GPP Specification Release 14 to find possible areas of improvement. Keeping this in mind we have designed a solution to increase the number of pageable devices that can be maintained by the network compared to its original capacity (when not using our solution). This solution can be used to optimize as per the use case, whether to provide lower latency or save energy consumption of the device. To verify that the solution can be used in real life, we have tested it with Stedin critical application device in their substation.Electrical Engineering | Embedded System
Understanding Interactions in Social Networks and Committees
No full textWhile much of the literature on cross section dependence has fo?cused mainly on estimation of the regression coefficients in the under?lying model, estimation and inferences on the magnitude and strength of spill-overs and interactions has been largely ignored. At the same time, such inferences are important in many applications, not least because they have structural interpretations and provide useful inter?pretation and structural explanation for the strength of any interac?tions. In this paper we propose GMM methods designed to uncover underlying (hidden) interactions in social networks and committees. Special attention is paid to the interval censored regression model. Our methods are applied to a study of committee decision making within the Bank of England¡¯s monetary policy committee.Committee Decision Making, Social Networks, Cross Section and Spatial Interaction, Generalised Method of Moments, Censored Regression Model, Expectation-Maximisation Algorithm, Monetary Policy, Interest Rates.
COVID-19 and persistence in the stock market: a study on a leading emerging market
No full textData availability:
The data that support the findings of this study are available from the corresponding author upon reasonable request.In this study, we examine how sectors of the National Stock Exchange from India respond to the uncertainties introduced by the COVID-19 pandemic. By examining the synchronization between the sector-specific and overall market index (NIFTY 50) reaction to COVID-19, we contribute to the inconclusive ongoing academic literature regarding the impact of COVID-19 on the stock market, especially in the context of persistence in an emerging market. To analyze the persistence of sectoral indices, we apply multifractal detrended fluctuation analysis (MFDFA). We use the generalized Hurst exponent and singularity spectrum as indicators for persistence and spectral width as a measure of volatility. Our analysis shows that the sample sectoral indices are persistent before and after the announcement of COVID-19; however, volatility in some sectors reduces post-announcement of COVID-19. The findings will enrich the academic literature on the relationship between sector-specific and overall market indexes. In practice, the paper will guide investors to organize their portfolios, especially during future economic uncertainty
Architectural Support for Address Translation on GPUs
No full textThe proliferation of heterogeneous compute platforms, of which CPU/GPU is a prevalent example, necessitates a manageable programming model to ensure widespread adoption. A key component of this is a shared unified address space between the heterogeneous units to obtain the programmability benefits of virtual memory. Indeed, processor vendors have already begun embracing heterogeneous systems with unified address spaces (e.g., Intel’s Haswell, AMD’s Berlin processor, and ARM’s Mali and Cortex cores). We are the first to explore GPU Translation Lookaside Buffers (TLBs) and page table walkers for address translation in the context of shared virtual memory for heterogeneous systems. To exploit the programmability benefits of shared virtual memory, it is natural to consider mirroring CPUs and placing TLBs prior (or parallel) to cache accesses,
making caches physically addressed. We show the performance challenges of such an approach and propose modest hardware augmentations to recover much of this lost performance.We then consider the impact of this approach on the design of general purpose GPU performance improvement schemes. We look at: (1) warp scheduling to increase cache hit rates; and (2) dynamic warp formation to mitigate control flow divergence overheads. We show that introducing cache-parallel address translation does pose challenges, but that modest optimizations can buy back much of this lost performance. Overall, this paper explores address translation mechanisms on GPUs. While cache-parallel address translation does introduce non-trivial performance overheads, modestly TLB-aware designs can move overheads into a range deemed acceptable in the CPU world (5-15% of runtime). We presume this initial design leaves room for improvement but hope the larger result, that a little TLB-awareness goes a long way in GPUs, spurs future work in this fruitful area.Technical report DCS-TR-70
Author Experiences with the IS Journal Review Process
No full textResearch publication in peer-reviewed journals is an important avenue for knowledge dissemination. However, information on journal review process metrics are often not available to prospective authors, which may preclude effective targeting of their research work to appropriate outlets. We study these metrics for information systems (IS) researchers through a survey of actual author experiences of the IS journal review process. Our results provide a knowledge base of the length and quality of the review process in various journals; responsiveness of the journal office and publication delay; and correlations of metrics with published studies of journal rankings. The data should enable authors to make effective submission decisions, as well as help to benchmark journal review processes among competing journals
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