Min-max functions, F : R → R, arise in modelling the dynamic behaviour of discrete event systems. They form a dense subset of those functions which are homogeneous, Fi(x1 + h, · · · , xn + h) = Fi(x1, · · · , xn) + h, monotonic, ~x ≤ ~y ⇒ F (~x) ≤ F (~y), and nonexpansive in the `∞ norm—so-called topical functions—which have appeared recently in the work of several authors. Our main result char...

The development and optimization of an automated flow injection (FI) manifold coupled with a Fourier transform infrared (FT-IR) detector for the determination of toluene, ethyl benzene and o-xylene in an n-hexane matrix is described. FT-IR parameters optimized were resolution and number of co-added scans; FI parameters optimized were type of pump tubing, carrier flow rate and sample volume. ATR...

A data stream is a continuous, huge, fast changing, rapid, infinite sequence of data elements. The nature of streaming data makes it essential to use online algorithms which require only one scan over the data for knowledge discovery. In this paper, we propose a new single-pass algorithm, called DSMFI (Data Stream Mining for Frequent Itemsets), to mine all frequent itemsets over the entire hist...

(0) Sampling: – There is a PPT CI that on input 1 produces an element of I ∩ {0, 1}. – There is a PPT CD that on input i ∈ I produces an element of Di. Note that neither CI nor CD is required to be uniform (or even have support that is all of I ∩ {0, 1} or Di respectively) so all we need is that CI and CD choose elements from the appropriate sets. (1) Easy to Compute: There is a deterministic p...

Image segmentation is a basic component of many computer vision systems and pattern recognition. Thresholding is a simple but effective method to separate objects from the background. A commonly used method, Kittler and Illingworth's minimum error thresholding (MET), improves the image segmentation effect obviously. It’s simpler and easier to implement. However, it fails in the presence of skew...

This paper addresses the problem of network monitoring by proposing an Artificial Immune System (AIS) system to achieve situation recognition and monitoring in a large network of Wi-Fi hotspots as part of a highly scalable preemptive monitoring tool for wireless networks. Using a set of data extracted from a live network of Wi-Fi hotspots managed by an ISP, we integrated an AIS algorithm into a...

Abstract Explainable artificial intelligence has mainly focused on static learning scenarios so far. We are interested in dynamic where data is sampled progressively, and done an incremental rather than a batch mode. seek efficient algorithms for computing feature importance (FI). Permutation (PFI) well-established model-agnostic measure to obtain global FI based marginalization of absent featu...

male infertility is a distressingly common condition affecting about 1 in 20 of the male population. in a majority of the cases, the male partner produces sufficient numbers of spermatozoa to achieve fertilization but there are functional defects in these cells that prevent conception from occurring. in this study, the effects of wi-fi radiation on spermatogenesis, testes and testosterone of la...

We consider families of sparse Laurent polynomials f1, . . . , fn with a finite set of common zeroes Zf in the torus T n = (C − {0}) . The global residue assigns to every Laurent polynomial g the sum of its Grothendieck residues over Zf . We present a new symbolic algorithm for computing the global residue as a rational function of the coefficients of the fi when the Newton polytopes of the fi ...

Abstract. This paper proposes compact hardware (H/W) implementation for the MISTY1 block cipher, which is an ISO/IEC18033 standard encryption algorithm. In designing the compact H/W, we focused on optimizing the implementation of FO/FI functions, which are the main components of MISTY1. For this optimization, we propose two new methods; reducing temporary registers for the FO function, and shor...