The Ksudoku Handbook
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Embedded System Security: Prevention Against Physical Access Threats Using Pufs
International Journal of Innovative Research in Science, Engineering and Technology (IJIRSET) | e-ISSN: 2319-8753, p-ISSN: 2320-6710| www.ijirset.com | Impact Factor: 7.512| || Volume 9, Issue 8, August 2020 || Embedded System Security: Prevention Against Physical Access Threats Using PUFs 1 2 3 4 AP Deepak , A Krishna Murthy , Ansari Mohammad Abdul Umair , Krathi Todalbagi , Dr.Supriya VG5 B.E. Students, Department of Electronics and Communication Engineering, Sir M. Visvesvaraya Institute of Technology, Bengaluru, India1,2,3,4 Professor, Department of Electronics and Communication Engineering, Sir M. Visvesvaraya Institute of Technology, Bengaluru, India5 ABSTRACT: Embedded systems are the driving force in the development of technology and innovation. It is used in plethora of fields ranging from healthcare to industrial sectors. As more and more devices come into picture, security becomes an important issue for critical application with sensitive data being used. In this paper we discuss about various vulnerabilities and threats identified in embedded system. Major part of this paper pertains to physical attacks carried out where the attacker has physical access to the device. A Physical Unclonable Function (PUF) is an integrated circuit that is elementary to any hardware security due to its complexity and unpredictability. This paper presents a new low-cost CMOS image sensor and nano PUF based on PUF targeting security and privacy. PUFs holds the future to safer and reliable method of deploying embedded systems in the coming years. KEYWORDS:Physically Unclonable Function (PUF), Challenge Response Pair (CRP), Linear Feedback Shift Register (LFSR), CMOS Image Sensor, Polyomino Partition Strategy, Memristor. I. INTRODUCTION The need for security is universal and has become a major concern in about 1976, when the first initial public key primitives and protocols were established. -
SOMA CUBE Thorleif's SOMA Page
SOMA CUBE Thorleif's SOMA page : http://fam-bundgaard.dk/SOMA/SOMA.HTM Standard SOMA figures Stran 1 Stran 2 Stran 3 Stran 4 Stran 5 Stran 6 Stran 7 Stran 8 Stran 9 Stran 10 Stran 11 Stran 12 Stran 13 Stran 14 Stran 15 Stran 16 Stran 17 Stran 18 Stran 19 Stran 20 Stran 21 Stran 22 Stran 23 Stran 24 Stran 25 Stran 26 Stran 27 Stran 28 Stran 29 Stran 30 Special SOMA collection Stran 31 . Pairs of figures Pairs Stran 32 Figures NOT using using 7 pieces. Figures NOT Stran 33 Double set Double figures. Stran 34 Double set Double figures. Stran 35 Double set Double figures. Stran 36 Special Double/Tripple etc. set figures. Double/Tripple Special Stran 37 Paulo Brina 'Quad' collection Stran 38 Quad set figures. Quad set Stran 39 SOMA NEWS A 4 set SOMA figure is large. March 25 2010 Just as I thought SOMA was fading, I heard from Paulo Brina of Belo Horizonte, Brasil. The story he told was BIG SOMA Joining the rest of us, SOMA maniacs, Paulo was tired of the old 7 piece soma, so he began to play Tetra-SOMA, using 4 sets = 28 pieces = 108 cubes. The tetra set, home made, stainless steel (it's polished, so, it's hard to take photos) Notice the extreme beauty this polished set exhibits. :o) As Paulo wrote "It's funny. More possibilities, more complexity." Stran 40 Lets look at the pictures. 001 bloc 2x7x9 = 126, so we have 18 holes/gaps 002 A 5x5x5 cube would make 125, . -
Folding Small Polyominoes Into a Unit Cube
CCCG 2020, Saskatoon, Canada, August 5{7, 2020 Folding Small Polyominoes into a Unit Cube Kingston Yao Czajkowski∗ Erik D. Demaine† Martin L. Demaine† Kim Eppling‡ Robby Kraft§ Klara Mundilova† Levi Smith¶ Abstract tackle the analogous problem for smaller polyominoes, with at most nine squares.2 We demonstrate that a 3 × 3 square can fold into a unit Any polyomino folding into a unit cube has at least cube using horizontal, vertical, and diagonal creases on six squares (because the cube has surface area 6). In- the 6 × 6 half-grid. Together with previous results, this deed, for hexominoes, the half-grid and diagonal fea- result implies that all tree-shaped polyominoes with at tures of the model are not useful, because the folding least nine squares fold into a unit cube. We also make cannot have any overlap (again by an area argument). partial progress on the analogous problem for septomi- Therefore, the hexominoes that fold into a unit cube are noes and octominoes by showing a half-grid folding of exactly the eleven hexomino nets of the cube; see e.g. the U septomino and 2 × 4 rectangle into a unit cube. Gardner [Gar89] for the list. Aichholzer et al. [ABD+18, Fig. 16] verified by exhaustive search that this claim re- 1 Introduction mains true even if we allow cutting the polyomino with slits until the dual graph (with a vertex for each square Which polyominoes fold into a unit cube? Aichholzer et and edges for uncut edge adjacency) is a tree; we call al. [ABD+18] introduced this problem at CCCG 2015, these tree-shaped polyominoes. -
SUDOKU PUZZLE SECRETS: Learn How to Solve Sudoku Puzzles with Little Effort TABLE of CONTENTS
SUDOKU PUZZLE SECRETS: Learn How to Solve Sudoku Puzzles With Little Effort TABLE OF CONTENTS INTRODUCTION ………………………………………….. 04 CHAPTER 1: HISTORY OF SUDOKU ………………… 06 CHAPTER 2: SUDOKU EXPLAINED …………………. 08 Variants ………………………………………………… 08 Japanese Variants ………………………………….. 10 Terminology and Rules ……………………………. 12 CHAPTER 3: THE MATH BEHIND SUDOKU ……….. 13 A Latin Square ………………………………………… 14 Unique Grids …………………………………………… 15 CHAPTER 4: CONSTRUCTION OF THE PUZZLE ….. 16 CHAPTER 5: SOLUTION METHODS–SCANNING ... 18 Cross-Hatching And Counting ……………………. 20 CHAPTER 6: BEGINNING THE CHALLENGE ………. 21 Guessing ………………………………………………… 23 Starting The Game …………………………………… 23 CHAPTER 7: CHANGE OF STRATEGY ………………… 28 Searching For The Lone Number ………………… 28 Twins …………………………………………………….. 30 2 Triplets …………………………………………………… 32 CHAPTER 8: ELIMINATE THE EXTRANEOUS ……… 34 Three Numbers Exclusively ………………………. 38 Step Up The Action …………………………………… 39 CHAPTER 9: WHEN EVERYTHING ELSE FAILS …... 41 Ariadne’s Thread ……………………………………… 42 CHAPTER 10: SOLVING A DIABOLICAL PUZZLE … 43 CHAPTER 11: SAMPLE SUDOKU PUZZLES ………….47 CHAPTER 12: SOLUTIONS ……………………………… 53 CONCLUSION ………………………………………………. 58 3 INTRODUCTION It seems that these days everyone is enjoying the game of Sudoko wherever they are. The Sudoku puzzle is ideal for whenever you have a few spare minutes and want to indulge in a little bit of thinking power. Sudoku, sometimes spelled “Su Doku”, is a puzzle that originated in Japan. The puzzle is known as a “placement” puzzle. In the United States Sudoku is sometimes called the “Number Place” puzzle. People of all ages and from all backgrounds are finding that Sudoku is a great way to keep their mind active and thinking. Puzzles range all the way from easy for the beginner to extremely difficult for the more advanced puzzler. Sudoku is easy to take with you wherever you go so that you can indulge in a little bit of number guessing whenever you have a few spare minutes. -
Area and Perimeter
2.2 Area and Perimeter Perimeter is easy to define: it’s the distance all the way round the edge of a shape (land sometimes has a “perimeter fence”). (The perimeter of a circle is called its circumference.) Some pupils will want to mark a dot where they start measuring/counting the perimeter so that they know where to stop. Some may count dots rather than edges and get 1 unit too much. Area is a harder concept. “Space” means 3-d to most people, so it may be worth trying to avoid that word: you could say that area is the amount of surface a shape covers. (Surface area also applies to 3-d solids.) (Loosely, perimeter is how much ink you’d need to draw round the edge of the shape; area is how much ink you’d need to colour it in.) It’s good to get pupils measuring accurately-drawn drawings or objects to get a feel for how small an area of 20 cm2, for example, actually is. For comparisons between volume and surface area of solids, see section 2:10. 2.2.1 Draw two rectangles (e.g., 6 × 4 and 8 × 3) on a They’re both rectangles, both contain the same squared whiteboard (or squared acetate). number of squares, both have same area. “Here are two shapes. What’s the same about them One is long and thin, different side lengths. and what’s different?” Work out how many squares they cover. (Imagine Infinitely many; e.g., 2.4 cm by 10 cm. -
Tiling with Polyominoes*
JOURNAL OF COMBINATORIAL THEORY 1, 280-296 (1966) Tiling with Polyominoes* SOLOMON W. GOLOMB Electrical Engineering Department, University of Southern California, Los Angeles, California Communicated by Mark Kac INTRODUCTION An n-omino is a set of n rookwise connected unit squares [1]. The simpler figures (monomino, domino, trominoes, tetrorninoes, and pen- tominoes) are shown in Figure I. Fig. 1. The simpler polyominoes. It is interesting to consider the tiling properties of the various poly- ominoes. Certain polyominoes will tile the infinite plane, as illustrated with the X-pentomino in Figure 2. Some polyominoes can tile an infinite strip, as indicated with the F-pentomino in Figure 3. There are polyominoes * This research was supported in part by the United States Air Force under Grant AF-AFOSR-874-66. 280 TILING WITH POLYOMINOES 281 which are capable of tiling a rectangle, as exemplified by the Y-pen- tomino in Figure 4. Also, certain polyominoes are "rep-tiles" [2], i.e., they can be used to tile enlarged scale models of themselves, as shown with the P-pentomino in Figure 5. F_I- Fig. 2. The X-pentomino can be used to tile the plane. Fig. 3. The F-pentomino can be used to tile a strip. Fig. 4. The Y-pentomino can be used Fig. 5. The P-pentomino can be used to tile a rectangle, to tile itself. 282 GOLOMB The objective of this paper is to establish a hierarchy of tiling capa- bilities for polyominoes, and to classify all the simpler polyominoes (through hexominoes) as accurately as possible with respect to this hierarchy. -
The Copyright © of This Thesis Belongs to Its Rightful Author And/Or Other Copyright Owner
The copyright © of this thesis belongs to its rightful author and/or other copyright owner. Copies can be accessed and downloaded for non-commercial or learning purposes without any charge and permission. The thesis cannot be reproduced or quoted as a whole without the permission from its rightful owner. No alteration or changes in format is allowed without permission from its rightful owner. A FAMILY OF CLASSES IN NESTED CHAIN ABACUS AND RELATED GENERATING FUNCTIONS EMAN F. MOHOMMED DOCTOR OF PHILOSOPHY UNIVERSITI UTARA MALAYSIA 2017 Permission to Use In presenting this thesis in fulfilment of the requirements for a postgraduate degree from Universiti Utara Malaysia, I agree that the Universiti Library may make it freely available for inspection. I further agree that permission for the copying of this thesis in any manner, in whole or in part, for scholarly purpose may be granted by my supervisor or, in their absence, by the Dean of Awang Had Salleh Graduate School of Arts and Sciences. It is understood that any copying or publication or use of this thesis or parts thereof for financial gain shall not be allowed without my written permission. It is also understood that due recognition shall be given to me and to Universiti Utara Malaysia for any scholarly use which may be made of any material from my thesis. Requests for permission to copy or to make other use of materials in this thesis, in whole or in part, should be addressed to: Dean of Awang Had Salleh Graduate School of Arts and Sciences UUM College of Arts and Sciences Universiti Utara Malaysia 06010 UUM Sintok i Abstrak Model abakus telah digunakan secara meluas untuk mewakili pemetakan bagi sebarang integer positif. -
TERMS of USE This Is a Copyrighted Work and the Mcgraw-Hill Companies, Inc
ebook_copyright 8 x 10.qxd 7/7/03 5:10 PM Page 1 Copyright © 2003 by The McGraw-Hill Companies, Inc. All rights reserved. Manufactured in the United States of America. Except as permitted under the United States Copyright Act of 1976, no part of this publication may be reproduced or distributed in any form or by any means, or stored in a data- base or retrieval system, without the prior written permission of the publisher. 0-07-142093-2 The material in this eBook also appears in the print version of this title: 0-07-141049-X All trademarks are trademarks of their respective owners. Rather than put a trademark symbol after every occurrence of a trademarked name, we use names in an editorial fashion only, and to the benefit of the trademark owner, with no intention of infringement of the trademark. Where such designations appear in this book, they have been printed with initial caps. McGraw-Hill eBooks are available at special quantity discounts to use as premiums and sales pro- motions, or for use in corporate training programs. For more information, please contact George Hoare, Special Sales, at [email protected] or (212) 904-4069. TERMS OF USE This is a copyrighted work and The McGraw-Hill Companies, Inc. (“McGraw-Hill”) and its licensors reserve all rights in and to the work. Use of this work is subject to these terms. Except as permitted under the Copyright Act of 1976 and the right to store and retrieve one copy of the work, you may not decompile, disassemble, reverse engineer, reproduce, modify, create derivative works based upon, transmit, distribute, disseminate, sell, publish or sublicense the work or any part of it without McGraw-Hill’s prior consent. -
On 3-Harness Weaving: Cataloging Designs Generated by Fundamental Blocks Having Distinct Rows and Columns
On 3-Harness Weaving: Cataloging Designs Generated by Fundamental Blocks Having Distinct Rows and Columns Shelley L. Rasmussen Department of Mathematical Sciences University of Massachusetts, Lowell, MA, USA Submitted: May 1, 2007; Accepted: Dec 5, 2007; Published: Jan 1, 2008 Mathematics Subject Classification: 05B45 Abstract A weaving drawdown is a rectangular grid of black and white squares with at least one black and one white square in each row and column. A pattern results from vertical and horizontal translations of the defining grid. Any such grid defines a tiling pattern. However, from a weaving point of view, some of these grids define actual fabrics while others correspond to collections of threads that fall apart. This article addresses that issue, along with a discus- sion of binary representations of fabric structures. The article also catalogs all weaving (or tiling) patterns defined by grids having three distinct columns and three to six distinct rows, and groups these patterns into design families based on weaving symmetries. 1 Introduction. Weaving is a process of creating a fabric by interlacing a set of yarn strands called the weft with another set of strands called the warp. The lengths of yarn called warp ends are tied in parallel and held under tension on the weaving device or loom. At each step in the weaving process, the weaver separates warp ends into two layers, upper and lower, passes a weft strand through the resulting opening (called the shed), then moves or beats that weft strand so that it lies against previously woven weft yarns, perpendicular to the warp. -
Fractal Tilings Based on Dissections of Polyominoes
Fractal Tilings Based on Dissections of Polyominoes Robert W. Fathauer Tessellations Company 3913 E. Bronco Trail Phoenix, AZ 85044, USA E-mail: [email protected] Abstract Polyominoes, shapes made up of squares connected edge-to-edge, provide a rich source of prototiles for edge-to- edge fractal tilings. We give examples of fractal tilings with 2-fold and 4-fold rotational symmetry based on prototiles derived by dissecting polyominoes with 2-fold and 4-fold rotational symmetry, respectively. A systematic analysis is made of candidate prototiles based on lower-order polyominoes. In some of these fractal tilings, polyomino-shaped holes occur repeatedly with each new generation. We also give an example of a fractal knot created by marking such tiles with Celtic-knot-like graphics. 1. Introduction Fractals and tilings can be combined to form a variety of esthetically appealing constructs that possess fractal character and at the same time obey many of the properties of tilings. Previously, we described families of fractal tilings based on kite- and dart-shaped quadrilateral prototiles [1], v-shaped prototiles [2], prototiles that are segments of regular polygons [3], and prototiles derived by dissecting polyhexes [4]. Many of these constructs may be viewed online [5]. These papers appear to be the first attempts at a systematic treatment of this topic, though isolated examples were earlier demonstrated by M.C. Escher [6] and Peter Raedschelders [7]. In Grünbaum and Shephard’s book Tilings and Patterns [8], a tiling is defined as a countable family of closed sets (tiles) that cover the plane without gaps or overlaps. -
Polyominojen Pakkaaminen Tasossa
Polyominojen pakkaaminen tasossa Jon Sahlberg Tampereen yliopisto Informaatiotieteiden yksikk¨o Tietojenk¨asittelyoppi Pro gradu -tutkielma Ohjaajat: Erkki M¨akinen, Timo Poranen Lokakuu 2014 Tampereen yliopisto Informaatiotieteiden yksikk¨o Jon Sahlberg: Polyominojen pakkaaminen tasossa Pro gradu -tutkielma, 53 sivua Lokakuu 2014 Tiivistelm¨a Polyominot ovat kaksiulotteisia kappaleita, jotka muodostuvat yhdest¨a tai use- ammasta, s¨armist¨a¨an toisiinsa liitetyist¨a, samankokoisista neli¨ost¨a. Tason t¨ayt- t¨aminen valitulla polyominojoukolla on NP-t¨aydellinen ongelma. T¨ass¨a tutkiel- massa esitet¨a¨an uusi tarkistussummiin perustuvan menetelm¨a, joilla polyomino- jen pakkaamista tasolle pyrit¨a¨an tehostamaan aiempiin vastaaviin pakkausme- netelmiin verrattuna. Kutsun kehitt¨am¨a¨ani menetelm¨a¨a moduloidun bittikent¨an menetelm¨aksi. Moduloidun bittikent¨an menetelm¨ass¨a t¨aytett¨av¨alle alueelle sek¨a polyominoille etsit¨a¨an sopiva jakaja. Jakajan perusteella t¨aytett¨av¨alle alueelle ja polyominoille lasketaan tarkistussummat. Sopivalla jakajan valinnalla tarkis- tussummat saadaan kuvaamaan samanaikaisesti sek¨a polyominon muotoa ett¨a sijaintia t¨aytett¨av¨all¨a alueella. Kaikki mahdolliset ratkaisuvaihtoehdot alueen t¨aytt¨amiseksi voidaan l¨oyt¨a¨a alueen ja kappaleiden yhteenlaskettuja tarkistus- summia vertailemalla. Moduloidun bittikent¨an menetelm¨all¨a alkuper¨ainen vai- kea teht¨av¨a jakautuu useammaksi pienemm¨aksi teht¨av¨aksi, joiden ratkaisemi- nen voi usein olla huomattavasti alkuper¨aist¨a teht¨av¨a¨a helpompaa. Tutkielmassa esitet¨a¨an my¨os muutokset, jotka mahdollistavat hajota ja hallitse -menetelm¨an k¨ayt¨on moduloidun bittikent¨an menetelm¨an yhteydess¨a. Hajota ja hallitse -mene- telm¨a¨an soveltamiseksi tarkistussummat muunnetaan sopivaan bin¨a¨ariseen kanta- lukuesitykseen. -
2013 APL Problem Solving Competition – Phase II Problem Descriptions
2013 APL Problem Solving Competition – Phase II Problem Descriptions This year, the problems in Phase II are divided into three sets representing three general categories: Math/Computer Science, Engineering and Biology. Unlike previous years, you do NOT need to solve all the Phase II problems to be considered eligible for the top three prizes. Instead, each set has three problems - one each of low, medium and high difficulty levels. To be eligible for consideration for one of the top prizes you need to complete, at a minimum, one problem of each level of difficulty. The problems can be from different sets. Higher difficulty problems may be substituted for lower difficulty problems – for instance, you could solve two medium difficulty problems and one high difficulty problem. You can also solve more than the minimum number of problems; you can solve all the problems if you choose to do so. Doing more work by solving more problems can work in your favor; if entries from two people are of similar quality but one has solved more or higher difficulty problems, that entry will receive higher consideration by the judging committee. Good Luck and Happy Problem Solving! Page 1 of 20 Description of the Contest2013 Template Files Two template files are available for download from the contest website. Which file you use depends on how you choose to implement your problem solutions. If you use Dyalog APL, you may use the template workspace Contest2013.DWS The Contest2013 workspace contains: #.Problems – a namespace in which you will develop your solutions and which itself contains: o Stubs for all of the functions described in the problem descriptions.