In a recent paper by Vencheh and Esmaeilzadeh, a super-efficiency model based on RDM model is formulated where some input and output data are negative. However, we show that the formulation in the paper is not always feasible or bounded for its purpose and cannot produce the numerical results claimed. Moreover, we demonstrate that the super-efficiency model based on RDM model is unable to provi...

1 Department of Physics, Royal Institute of Technology, S-104 05 Stockholm, Sweden 2 Department of Physics, University of Surrey, Guildford GU2 7XH, UK 3 WNSL, Yale University, New Haven, CT 06520, USA 4 Department of Physics, Istanbul University, Istanbul, Turkey 5 Lawrence Berkeley National Lab, Berkeley, CA 94720, USA 6 Clark University, Worcester, MA, 01610-1477, USA 7 Institute of Physical...

ion mechanism. Many database researchers have used OSFOL to view the Relational Data Model (RDM) ; however, no RDM has been modelled by MSFOL. This paper first gives a formal definition for MSFOL and then its advantages of expressiveness and of abstraction are illustrated. Two reduction algorithms which can transform an MSFOL-based language into\from an OSFOL-based language are given. The seman...

Signal detection is a fundamental problem in Cognitive radio. In this paper a new statistical test is proposed based on random data matrix (RDM) for detecting the signals in noise, as opposed to the eigenvalue based tests. Among the many spectrum sensing methods, the RDM method detects the primary users without any prior information. The performance of the test is compared with energy detection...

Contemporary product design based on 3D CAD tools aims at improved efficiency using integrated engineering environments with access to databases of existing designs, associated documents and enterprise resource planning (ERP). One of the goals of the SEVENPRO project is to achieve design process improvements through the utilization of relational data mining (RDM), utilizing past designs and com...

The research examined naive user analysts' learning of data analysis skills; namely. (1) the difficulty of learning data analysis, (2) the differential learning rates among development tools, and (3) the dimensions of the tools contributing to the learning differences. A total of fifty-six students participated in two experiments. The experiments involved repeaied trials of practice and feedbac...

Abstract This review paper on groundwater protection measures in South Africa focuses the actual implementation of measures, particular, resource-directed (RDM) as described Chapter 3 National Water Act (NWA). Significant catchment-wide RDM has taken place a phased manner throughout various catchments since 2012. By 2015, approximately R380 million had been expended water resource over period 1...

The paper presents a new method to detect forgery by copy-move, splicing or both in the same image. Multiscale, which limits the computational complexity, is used to check if there is any counterfeit in the image. By applying one-level Discrete Wavelet Transform, the sharped edges, which are traces of cut-paste manipulation, are high frequencies and detected from LH, HL and HH sub-bands. A thre...

The stochastic resonance (SR) is a phenomenon in which adding a moderate amount of noise can improve the signal-to-noise ratio and performance of non-linear systems. SR occurs in all sensory modalities including the visual system in which noise can enhance contrast detection sensitivity and the perception of ambiguous figures embedded in static scenes. Here, we explored how adding background wh...

The discrete Fourier transform-rational dither modulation (DFT-RDM) has been proposed as a way to provide robustness to linear-time-invariant (LTI) filtering for quantizationbased watermarking systems. This scheme has been proven to provide high rates for white Gaussian hosts but those rates considerably decrease for non-white hosts. In this paper the theoretical analysis of DFT-RDM is generali...