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On the quantum differentiation of smooth real-valued functions

Calculating the value of Ck ∈ {1, ∞} class of smoothness real-valued function's derivative in point of R+ in radius of convergence of its Taylor polynomial (or series), applying an analog of Newton's binomial theorem and q-difference operator. (P,q)-power difference introduced in section 5. Additionally, by means of Newton's interpolation formula, the discrete analog of Taylor series, interpolation using q-difference and p,q-power difference is shown.

Kolosov Petro

Predicting Future Forest Ranges Using Array-based Geospatial Semantic Modelling

Abstract: Studying the impacts of climate change requires looking at a multitude of variables across a broad range of sectors [1,2]. Information on the variables involved is often unevenly available or offers different uncertainties [3,4], and a lack of uniform terminology and methods further complicates the process of analysis, resulting in communication gaps when research enterprises span different sectors. For example, models designed by experts in one given discipline might assume conventions in language or oversimplify cross-disciplinary links in a way that is unfamiliar for scientists in another discipline. Geospatial Semantic Array Programming (GeoSemAP) offers the potential to move toward overcoming these challenges by promoting a uniform approach to data collection and sharing [5]. The Joint Research Centre of the European Commission has been exploring the use of geospatial semantics through a module in the PESETA II project (Projection of economic impacts of climate change in sectors of the European Union based on bottom-up analysis).

Elise Mulder Osenga

Entropy Minimization Based Synchronization Algorithm for Underwater Acoustic Receivers

This paper presents a new entropy minimization criterion and corresponding algorithms that are used for both symbol timing and carrier frequency recovery for underwater acoustic receivers. It relies on the entropy estimation of the eye diagram and the constellation diagram of the received signal. During the parameter search, when perfect synchronization is achieved, the entropy will reach a global minimum, indicating the least intersymbol interference or a restored constellation diagram. Unlike other synchronization methods, this unified criterion can be used to build an all-in-one synchronizer with high accuracy. The feasibility of this method is proven using a theoretical analysis and supported by sea trial measurement data.

Xiao Liu

Applications of Compressive Sensing in Communications and Signal Processing

Compressive Sensing is a Signal Processing technique, which gave a break through in 2004. The main idea of CS is, by exploiting the sparsity nature of the signal (in any domain), we can reconstruct the signal from very fewer samples than required by Shannon-Nyquist sampling theorem. Reconstructing a sparse signal from fewer samples is equivalent to solving a under-determined system with sparsity constraints. Least square solution to such a problem yield poor `results because sparse signals cannot be well approximated to a least norm solution. Instead we use l1 norm(convex) to solve this problem which is the best approximation to the exact solution given by l0 norm(non-convex). In this paper we plan to discuss three applications of CS in estimation theory. They are, CS based reliable Channel estimation assuming sparsity in the channel is known for TDS-OFDM systems[1]. Indoor location estimation from received signal strength (RSS) where CS is used to reconstruct the radio map from RSS measurements[2]. Identifying that subspace in which the signal of interest lies using ML estimation, assuming signal lies in a union of subspaces which is a standard sparsity assumption according to CS theory[3]. Index terms : Compressive Sensing, Indoor positioning, fingerprinting, radio map, Maximum likelihood estimation, union of linear subspaces, subspace recovery.

mohangiridhar

Nobel Prize in Physics 2000, how Silicon lost its groove.

In 1957 Herbert Kroemer published a paper entitled “Quasi-Electric and Quasi-Magnetic Fields in Non-Uniform Semiconductors". In it he expressed the utility of non-uniform semiconductor alloys in exploiting their natural atomic potential gradients to imply quasi-electric fields. The breakthrough in Modulation Doped Field Effect Transistors ( or MODFETs) came from the ground-breaking work done by him and Zhores Alferov on Semiconductor hetero-structures that utilize these very fields. I will examine just Herbert’s findings.

Barok Yemane

Second Project: <Name>.

This project will discuss the usage of the logical programming language called Prolog to solve a diabolic magic squares made with 4 by 4 squares and Python as a front-end. A diabolic magic squares are matrix of 4 rows and 4 columns which have unique numbers on each cell from 1 to 16. This project will implement the solution of this problem using logical deduction.

Santi Gamboa

PRACTICA 1: Seguridad en el laboratorio.

Se realizaron las correspondientes mediciones según lo que se pedía en la práctica, esto para comprobar la resistencia en un circuito paralelo de manera calculada y otra midiéndola en un circuito real.
Se midió el valor de diversas resistencias observando el código de color y después de esto se midieron 10 resistencias iguales con un óhmetro para comprobar sus valores y de todos los procedimientos se saco el error absoluto, relativo y su porcentaje.

Pedro Mendoza