6,613 research outputs found

    Multi-latin squares

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    A multi-latin square of order nn and index kk is an n×nn\times n array of multisets, each of cardinality kk, such that each symbol from a fixed set of size nn occurs kk times in each row and kk times in each column. A multi-latin square of index kk is also referred to as a kk-latin square. A 11-latin square is equivalent to a latin square, so a multi-latin square can be thought of as a generalization of a latin square. In this note we show that any partially filled-in kk-latin square of order mm embeds in a kk-latin square of order nn, for each n≄2mn\geq 2m, thus generalizing Evans' Theorem. Exploiting this result, we show that there exist non-separable kk-latin squares of order nn for each n≄k+2n\geq k+2. We also show that for each n≄1n\geq 1, there exists some finite value g(n)g(n) such that for all k≄g(n)k\geq g(n), every kk-latin square of order nn is separable. We discuss the connection between kk-latin squares and related combinatorial objects such as orthogonal arrays, latin parallelepipeds, semi-latin squares and kk-latin trades. We also enumerate and classify kk-latin squares of small orders.Comment: Final version as sent to journa

    The Quasigroup Block Cipher and its Analysis

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    This thesis discusses the Quasigroup Block Cipher (QGBC) and its analysis. We first present the basic form of the QGBC and then follow with improvements in memory consumption and security. As a means of analyzing the system, we utilize tools such as the NIST Statistical Test Suite, auto and crosscorrelation, then linear and algebraic cryptanalysis. Finally, as we review the results of these analyses, we propose improvements and suggest an algorithm suitable for low-cost FPGA implementation

    Channel Access Management in Data Intensive Sensor Networks

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    There are considerable challenges for channel access in Data Intensive Sensor Networks - DISN, supporting Data Intensive Applications like Structural Health Monitoring. As the data load increases, considerable degradation of the key performance parameters of such sensor networks is observed. Successful packet delivery ratio drops due to frequent collisions and retransmissions. The data glut results in increased latency and energy consumption overall. With the considerable limitations on sensor node resources like battery power, this implies that excessive transmissions in response to sensor queries can lead to premature network death. After a certain load threshold the performance characteristics of traditional WSNs become unacceptable. Research work indicates that successful packet delivery ratio in 802.15.4 networks can drop from 95% to 55% as the offered network load increases from 1 packet/sec to 10 packets/sec. This result in conjunction with the fact that it is common for sensors in an SHM system to generate 6-8 packets/sec of vibration data makes it important to design appropriate channel access schemes for such data intensive applications.In this work, we address the problem of significant performance degradation in a special-purpose DISN. Our specific focus is on the medium access control layer since it gives a fine-grained control on managing channel access and reducing energy waste. The goal of this dissertation is to design and evaluate a suite of channel access schemes that ensure graceful performance degradation in special-purpose DISNs as the network traffic load increases.First, we present a case study that investigates two distinct MAC proposals based on random access and scheduling access. The results of the case study provide the motivation to develop hybrid access schemes. Next, we introduce novel hybrid channel access protocols for DISNs ranging from a simple randomized transmission scheme that is robust under channel and topology dynamics to one that utilizes limited topological information about neighboring sensors to minimize collisions and energy waste. The protocols combine randomized transmission with heuristic scheduling to alleviate network performance degradation due to excessive collisions and retransmissions. We then propose a grid-based access scheduling protocol for a mobile DISN that is scalable and decentralized. The grid-based protocol efficiently handles sensor mobility with acceptable data loss and limited overhead. Finally, we extend the randomized transmission protocol from the hybrid approaches to develop an adaptable probability-based data transmission method. This work combines probabilistic transmission with heuristics, i.e., Latin Squares and a grid network, to tune transmission probabilities of sensors, thus meeting specific performance objectives in DISNs. We perform analytical evaluations and run simulation-based examinations to test all of the proposed protocols

    Graph Theory

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    Graph theory is a rapidly developing area of mathematics. Recent years have seen the development of deep theories, and the increasing importance of methods from other parts of mathematics. The workshop on Graph Theory brought together together a broad range of researchers to discuss some of the major new developments. There were three central themes, each of which has seen striking recent progress: the structure of graphs with forbidden subgraphs; graph minor theory; and applications of the entropy compression method. The workshop featured major talks on current work in these areas, as well as presentations of recent breakthroughs and connections to other areas. There was a particularly exciting selection of longer talks, including presentations on the structure of graphs with forbidden induced subgraphs, embedding simply connected 2-complexes in 3-space, and an announcement of the solution of the well-known Oberwolfach Problem

    An approximate version of a conjecture of Aharoni and Berger

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    Aharoni and Berger conjectured that in every proper edge-colouring of a bipartite multigraph by n colours with at least n+1 edges of each colour there is a rainbow matching using every colour. This conjecture generalizes a longstanding problem of Brualdi and Stein about transversals in Latin squares. Here an approximate version of the AharoniBerger Conjecture is proved—it is shown that if there are at least n + o(n) edges of each colour in a proper n-edge-colouring of a bipartite multigraph then there is a rainbow matching using every colour

    Spatio-Causal Patterns of Sample Growth

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    Different statistical samples (e.g., from different locations) offer populations and learning systems observations with distinct statistical properties. Samples under (1) 'Unconfounded' growth preserve systems' ability to determine the independent effects of their individual variables on any outcome-of-interest (and lead, therefore, to fair and interpretable black-box predictions). Samples under (2) 'Externally-Valid' growth preserve their ability to make predictions that generalize across out-of-sample variation. The first promotes predictions that generalize over populations, the second over their shared uncontrolled factors. We illustrate these theoretic patterns in the full American census from 1840 to 1940, and samples ranging from the street-level all the way to the national. This reveals sample requirements for generalizability over space and time, and new connections among the Shapley value, counterfactual statistics, and hyperbolic geometry

    Minimal Ramsey graphs, orthogonal Latin squares, and hyperplane coverings

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    This thesis consists of three independent parts. The first part of the thesis is concerned with Ramsey theory. Given an integer q≄2q\geq 2, a graph GG is said to be \emph{qq-Ramsey} for another graph HH if in any qq-edge-coloring of GG there exists a monochromatic copy of HH. The central line of research in this area investigates the smallest number of vertices in a qq-Ramsey graph for a given HH. In this thesis, we explore two different directions. First, we will be interested in the smallest possible minimum degree of a minimal (with respect to subgraph inclusion) qq-Ramsey graph for a given HH. This line of research was initiated by Burr, ErdƑs, and LovĂĄsz in the 1970s. We study the minimum degree of a minimal Ramsey graph for a random graph and investigate how many vertices of small degree a minimal Ramsey graph for a given HH can contain. We also consider the minimum degree problem in a more general asymmetric setting. Second, it is interesting to ask how small modifications to the graph HH affect the corresponding collection of qq-Ramsey graphs. Building upon the work of Fox, Grinshpun, Liebenau, Person, and SzabĂł and Rödl and Siggers, we prove that adding even a single pendent edge to the complete graph KtK_t changes the collection of 2-Ramsey graphs significantly. The second part of the thesis deals with orthogonal Latin squares. A {\em Latin square of order nn} is an n×nn\times n array with entries in [n][n] such that each integer appears exactly once in every row and every column. Two Latin squares LL and Lâ€ČL' are said to be {\em orthogonal} if, for all x,y∈[n]x,y\in [n], there is a unique pair (i,j)∈[n]2(i,j)\in [n]^2 such that L(i,j)=xL(i,j) = x and Lâ€Č(i,j)=yL'(i,j) = y; a system of {\em kk mutually orthogonal Latin squares}, or a {\em kk-MOLS}, is a set of kk pairwise orthogonal Latin squares. Motivated by a well-known result determining the number of different Latin squares of order nn log-asymptotically, we study the number of kk-MOLS of order nn. Earlier results on this problem were obtained by Donovan and Grannell and Keevash and Luria. We establish new upper bounds for a wide range of values of k=k(n)k = k(n). We also prove a new, log-asymptotically tight, bound on the maximum number of other squares a single Latin square can be orthogonal to. The third part of the thesis is concerned with grid coverings with multiplicities. In particular, we study the minimum number of hyperplanes necessary to cover all points but one of a given finite grid at least kk times, while covering the remaining point fewer times. We study this problem for the grid F2n\mathbb{F}_2^n, determining the number exactly when one of the parameters nn and kk is much larger than the other and asymptotically in all other cases. This generalizes a classic result of Jamison for k=1k=1. Additionally, motivated by the recent work of Clifton and Huang and Sauermann and Wigderson for the hypercube { 0,1 }n⊆Rn\set{0,1}^n\subseteq\mathbb{R}^n, we study hyperplane coverings for different grids over R\mathbb{R}, under the stricter condition that the remaining point is omitted completely. We focus on two-dimensional real grids, showing a variety of results and demonstrating that already this setting offers a range of possible behaviors.Diese Dissertation besteht aus drei unabh\"angigen Teilen. Der erste Teil beschĂ€ftigt sich mit Ramseytheorie. FĂŒr eine ganze Zahl q≄2q\geq 2 nennt man einen Graphen \emph{qq-Ramsey} f\"ur einen anderen Graphen HH, wenn jede Kantenf\"arbung mit qq Farben einen einfarbigen Teilgraphen enthĂ€lt, der isomorph zu HH ist. Das zentrale Problem in diesem Gebiet ist die minimale Anzahl von Knoten in einem solchen Graphen zu bestimmen. In dieser Dissertation betrachten wir zwei verschiedene Varianten. Als erstes, beschĂ€ftigen wir uns mit dem kleinstm\"oglichen Minimalgrad eines minimalen (bezĂŒglich Teilgraphen) qq-Ramsey-Graphen f\"ur einen gegebenen Graphen HH. Diese Frage wurde zuerst von Burr, Erd\H{o}s und Lov\'asz in den 1970er-Jahren studiert. Wir betrachten dieses Problem f\"ur einen Zufallsgraphen und untersuchen, wie viele Knoten kleinen Grades ein Ramsey-Graph f\"ur gegebenes HH enthalten kann. Wir untersuchen auch eine asymmetrische Verallgemeinerung des Minimalgradproblems. Als zweites betrachten wir die Frage, wie sich die Menge aller qq-Ramsey-Graphen f\"ur HH verĂ€ndert, wenn wir den Graphen HH modifizieren. Aufbauend auf den Arbeiten von Fox, Grinshpun, Liebenau, Person und SzabĂł und Rödl und Siggers beweisen wir, dass bereits der Graph, der aus KtK_t mit einer h\"angenden Kante besteht, eine sehr unterschiedliche Menge von 2-Ramsey-Graphen besitzt im Vergleich zu KtK_t. Im zweiten Teil geht es um orthogonale lateinische Quadrate. Ein \emph{lateinisches Quadrat der Ordnung nn} ist eine n×nn\times n-Matrix, gef\"ullt mit den Zahlen aus [n][n], in der jede Zahl genau einmal pro Zeile und einmal pro Spalte auftritt. Zwei lateinische Quadrate sind \emph{orthogonal} zueinander, wenn f\"ur alle x,y∈[n]x,y\in[n] genau ein Paar (i,j)∈[n]2(i,j)\in [n]^2 existiert, sodass es L(i,j)=xL(i,j) = x und Lâ€Č(i,j)=yL'(i,j) = y gilt. Ein \emph{k-MOLS der Ordnung nn} ist eine Menge von kk lateinischen Quadraten, die paarweise orthogonal sind. Motiviert von einem bekannten Resultat, welches die Anzahl von lateinischen Quadraten der Ordnung nn log-asymptotisch bestimmt, untersuchen wir die Frage, wie viele kk-MOLS der Ordnung nn es gibt. Dies wurde bereits von Donovan und Grannell und Keevash und Luria studiert. Wir verbessern die beste obere Schranke f\"ur einen breiten Bereich von Parametern k=k(n)k=k(n). ZusĂ€tzlich bestimmen wir log-asymptotisch zu wie viele anderen lateinischen Quadraten ein lateinisches Quadrat orthogonal sein kann. Im dritten Teil studieren wir, wie viele Hyperebenen notwendig sind, um die Punkte eines endlichen Gitters zu ĂŒberdecken, sodass ein bestimmter Punkt maximal (k−1)(k-1)-mal bedeckt ist und alle andere mindestens kk-mal. Wir untersuchen diese Anzahl f\"ur das Gitter F2n\mathbb{F}_2^n asymptotisch und sogar genau, wenn eins von nn und kk viel grĂ¶ĂŸer als das andere ist. Dies verallgemeinert ein Ergebnis von Jamison fĂŒr den Fall k=1k=1. Au{\ss}erdem betrachten wir dieses Problem f\"ur Gitter im reellen Vektorraum, wenn der spezielle Punkt ĂŒberhaupt nicht bedeckt ist. Dies ist durch die Arbeiten von Clifton und Huang und Sauermann und Wigderson motiviert, die den HyperwĂŒrfel { 0,1 }n⊆Rn\set{0,1}^n\subseteq \mathbb{R}^n untersucht haben. Wir konzentrieren uns auf zwei-dimensionale Gitter und zeigen, dass schon diese sich sehr unterschiedlich verhalten können
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