Hardware Abstract the Logic Gates References Results Transistors Through the Years Acknowledgements
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Dialetheists' Lies About the Liar
PRINCIPIA 22(1): 59–85 (2018) doi: 10.5007/1808-1711.2018v22n1p59 Published by NEL — Epistemology and Logic Research Group, Federal University of Santa Catarina (UFSC), Brazil. DIALETHEISTS’LIES ABOUT THE LIAR JONAS R. BECKER ARENHART Departamento de Filosofia, Universidade Federal de Santa Catarina, BRAZIL [email protected] EDERSON SAFRA MELO Departamento de Filosofia, Universidade Federal do Maranhão, BRAZIL [email protected] Abstract. Liar-like paradoxes are typically arguments that, by using very intuitive resources of natural language, end up in contradiction. Consistent solutions to those paradoxes usually have difficulties either because they restrict the expressive power of the language, orelse because they fall prey to extended versions of the paradox. Dialetheists, like Graham Priest, propose that we should take the Liar at face value and accept the contradictory conclusion as true. A logical treatment of such contradictions is also put forward, with the Logic of Para- dox (LP), which should account for the manifestations of the Liar. In this paper we shall argue that such a formal approach, as advanced by Priest, is unsatisfactory. In order to make contradictions acceptable, Priest has to distinguish between two kinds of contradictions, in- ternal and external, corresponding, respectively, to the conclusions of the simple and of the extended Liar. Given that, we argue that while the natural interpretation of LP was intended to account for true and false sentences, dealing with internal contradictions, it lacks the re- sources to tame external contradictions. Also, the negation sign of LP is unable to represent internal contradictions adequately, precisely because of its allowance of sentences that may be true and false. -
Engineering Transcriptional Control and Synthetic Gene Circuits in Cell Free Systems
University of Tennessee, Knoxville TRACE: Tennessee Research and Creative Exchange Doctoral Dissertations Graduate School 12-2012 Engineering Transcriptional Control and Synthetic Gene Circuits in Cell Free systems Sukanya Iyer University of Tennessee, [email protected] Follow this and additional works at: https://trace.tennessee.edu/utk_graddiss Part of the Biotechnology Commons Recommended Citation Iyer, Sukanya, "Engineering Transcriptional Control and Synthetic Gene Circuits in Cell Free systems. " PhD diss., University of Tennessee, 2012. https://trace.tennessee.edu/utk_graddiss/1586 This Dissertation is brought to you for free and open access by the Graduate School at TRACE: Tennessee Research and Creative Exchange. It has been accepted for inclusion in Doctoral Dissertations by an authorized administrator of TRACE: Tennessee Research and Creative Exchange. For more information, please contact [email protected]. To the Graduate Council: I am submitting herewith a dissertation written by Sukanya Iyer entitled "Engineering Transcriptional Control and Synthetic Gene Circuits in Cell Free systems." I have examined the final electronic copy of this dissertation for form and content and recommend that it be accepted in partial fulfillment of the equirr ements for the degree of Doctor of Philosophy, with a major in Life Sciences. Mitchel J. Doktycz, Major Professor We have read this dissertation and recommend its acceptance: Michael L. Simpson, Albrecht G. von Arnim, Barry D. Bruce, Jennifer L. Morrell-Falvey Accepted for the Council: Carolyn R. Hodges Vice Provost and Dean of the Graduate School (Original signatures are on file with official studentecor r ds.) Engineering Transcriptional Control and Synthetic Gene Circuits in Cell Free systems A Dissertation Presented for the Doctor of Philosophy Degree The University of Tennessee, Knoxville Sukanya Iyer December 2012 Copyright © 2012 by Sukanya Iyer. -
UNIT-I Mathematical Logic Statements and Notations
UNIT-I Mathematical Logic Statements and notations: A proposition or statement is a declarative sentence that is either true or false (but not both). For instance, the following are propositions: “Paris is in France” (true), “London is in Denmark” (false), “2 < 4” (true), “4 = 7 (false)”. However the following are not propositions: “what is your name?” (this is a question), “do your homework” (this is a command), “this sentence is false” (neither true nor false), “x is an even number” (it depends on what x represents), “Socrates” (it is not even a sentence). The truth or falsehood of a proposition is called its truth value. Connectives: Connectives are used for making compound propositions. The main ones are the following (p and q represent given propositions): Name Represented Meaning Negation ¬p “not p” Conjunction p q “p and q” Disjunction p q “p or q (or both)” Exclusive Or p q “either p or q, but not both” Implication p ⊕ q “if p then q” Biconditional p q “p if and only if q” Truth Tables: Logical identity Logical identity is an operation on one logical value, typically the value of a proposition that produces a value of true if its operand is true and a value of false if its operand is false. The truth table for the logical identity operator is as follows: Logical Identity p p T T F F Logical negation Logical negation is an operation on one logical value, typically the value of a proposition that produces a value of true if its operand is false and a value of false if its operand is true. -
CSE Yet, Please Do Well! Logical Connectives
administrivia Course web: http://www.cs.washington.edu/311 Office hours: 12 office hours each week Me/James: MW 10:30-11:30/2:30-3:30pm or by appointment TA Section: Start next week Call me: Shayan Don’t: Actually call me. Homework #1: Will be posted today, due next Friday by midnight (Oct 9th) Gradescope! (stay tuned) Extra credit: Not required to get a 4.0. Counts separately. In total, may raise grade by ~0.1 Don’t be shy (raise your hand in the back)! Do space out your participation. If you are not CSE yet, please do well! logical connectives p q p q p p T T T T F T F F F T F T F NOT F F F AND p q p q p q p q T T T T T F T F T T F T F T T F T T F F F F F F OR XOR 푝 → 푞 • “If p, then q” is a promise: p q p q F F T • Whenever p is true, then q is true F T T • Ask “has the promise been broken” T F F T T T If it’s raining, then I have my umbrella. related implications • Implication: p q • Converse: q p • Contrapositive: q p • Inverse: p q How do these relate to each other? How to see this? 푝 ↔ 푞 • p iff q • p is equivalent to q • p implies q and q implies p p q p q Let’s think about fruits A fruit is an apple only if it is either red or green and a fruit is not red and green. -
Introduction to Logic
IntroductionI Introduction to Logic Propositional calculus (or logic) is the study of the logical Christopher M. Bourke relationship between objects called propositions and forms the basis of all mathematical reasoning. Definition A proposition is a statement that is either true or false, but not both (we usually denote a proposition by letters; p, q, r, s, . .). Computer Science & Engineering 235 Introduction to Discrete Mathematics [email protected] IntroductionII ExamplesI Example (Propositions) Definition I 2 + 2 = 4 I The derivative of sin x is cos x. The value of a proposition is called its truth value; denoted by T or I 6 has 2 factors 1 if it is true and F or 0 if it is false. Opinions, interrogative and imperative sentences are not Example (Not Propositions) propositions. I C++ is the best language. I When is the pretest? I Do your homework. ExamplesII Logical Connectives Connectives are used to create a compound proposition from two Example (Propositions?) or more other propositions. I Negation (denoted or !) ¬ I 2 + 2 = 5 I And (denoted ) or Logical Conjunction ∧ I Every integer is divisible by 12. I Or (denoted ) or Logical Disjunction ∨ I Microsoft is an excellent company. I Exclusive Or (XOR, denoted ) ⊕ I Implication (denoted ) → I Biconditional; “if and only if” (denoted ) ↔ Negation Logical And A proposition can be negated. This is also a proposition. We usually denote the negation of a proposition p by p. ¬ The logical connective And is true only if both of the propositions are true. It is also referred to as a conjunction. Example (Negated Propositions) Example (Logical Connective: And) I Today is not Monday. -
Transistors and Logic Gates
Introduction to Computer Engineering CS/ECE 252, Spring 2013 Prof. Mark D. Hill Computer Sciences Department University of Wisconsin – Madison Chapter 3 Digital Logic Structures Slides based on set prepared by Gregory T. Byrd, North Carolina State University Copyright © The McGraw-Hill Companies, Inc. Permission required for reproduction or display. Transistor: Building Block of Computers Microprocessors contain millions of transistors • Intel Pentium II: 7 million • Compaq Alpha 21264: 15 million • Intel Pentium III: 28 million Logically, each transistor acts as a switch Combined to implement logic functions • AND, OR, NOT Combined to build higher-level structures • Adder, multiplexer, decoder, register, … Combined to build processor • LC-3 3-3 Copyright © The McGraw-Hill Companies, Inc. Permission required for reproduction or display. Simple Switch Circuit Switch open: • No current through circuit • Light is off • Vout is +2.9V Switch closed: • Short circuit across switch • Current flows • Light is on • Vout is 0V Switch-based circuits can easily represent two states: on/off, open/closed, voltage/no voltage. 3-4 Copyright © The McGraw-Hill Companies, Inc. Permission required for reproduction or display. N-type MOS Transistor MOS = Metal Oxide Semiconductor • two types: N-type and P-type N-type • when Gate has positive voltage, short circuit between #1 and #2 (switch closed) • when Gate has zero voltage, open circuit between #1 and #2 Gate = 1 (switch open) Gate = 0 Terminal #2 must be connected to GND (0V). 3-5 Copyright © The McGraw-Hill Companies, Inc. Permission required for reproduction or display. P-type MOS Transistor P-type is complementary to N-type • when Gate has positive voltage, open circuit between #1 and #2 (switch open) • when Gate has zero voltage, short circuit between #1 and #2 (switch closed) Gate = 1 Gate = 0 Terminal #1 must be connected to +2.9V. -
Automated Unbounded Verification of Stateful Cryptographic Protocols
Automated Unbounded Verification of Stateful Cryptographic Protocols with Exclusive OR Jannik Dreier Lucca Hirschi Sasaˇ Radomirovic´ Ralf Sasse Universite´ de Lorraine Department of School of Department of CNRS, Inria, LORIA Computer Science Science and Engineering Computer Science F-54000 Nancy ETH Zurich University of Dundee ETH Zurich France Switzerland UK Switzerland [email protected] [email protected] [email protected] [email protected] Abstract—Exclusive-or (XOR) operations are common in cryp- on widening the scope of automated protocol verification tographic protocols, in particular in RFID protocols and elec- by extending the class of properties that can be verified to tronic payment protocols. Although there are numerous appli- include, e.g., equivalence properties [19], [24], [27], [51], cations, due to the inherent complexity of faithful models of XOR, there is only limited tool support for the verification of [14], extending the adversary model with complex forms of cryptographic protocols using XOR. compromise [13], or extending the expressiveness of protocols, The TAMARIN prover is a state-of-the-art verification tool e.g., by allowing different sessions to update a global, mutable for cryptographic protocols in the symbolic model. In this state [6], [43]. paper, we improve the underlying theory and the tool to deal with an equational theory modeling XOR operations. The XOR Perhaps most significant is the support for user-specified theory can be freely combined with all equational theories equational theories allowing for the modeling of particular previously supported, including user-defined equational theories. cryptographic primitives [21], [37], [48], [24], [35]. -
Chapter 1 Logic and Set Theory
Chapter 1 Logic and Set Theory To criticize mathematics for its abstraction is to miss the point entirely. Abstraction is what makes mathematics work. If you concentrate too closely on too limited an application of a mathematical idea, you rob the mathematician of his most important tools: analogy, generality, and simplicity. – Ian Stewart Does God play dice? The mathematics of chaos In mathematics, a proof is a demonstration that, assuming certain axioms, some statement is necessarily true. That is, a proof is a logical argument, not an empir- ical one. One must demonstrate that a proposition is true in all cases before it is considered a theorem of mathematics. An unproven proposition for which there is some sort of empirical evidence is known as a conjecture. Mathematical logic is the framework upon which rigorous proofs are built. It is the study of the principles and criteria of valid inference and demonstrations. Logicians have analyzed set theory in great details, formulating a collection of axioms that affords a broad enough and strong enough foundation to mathematical reasoning. The standard form of axiomatic set theory is denoted ZFC and it consists of the Zermelo-Fraenkel (ZF) axioms combined with the axiom of choice (C). Each of the axioms included in this theory expresses a property of sets that is widely accepted by mathematicians. It is unfortunately true that careless use of set theory can lead to contradictions. Avoiding such contradictions was one of the original motivations for the axiomatization of set theory. 1 2 CHAPTER 1. LOGIC AND SET THEORY A rigorous analysis of set theory belongs to the foundations of mathematics and mathematical logic. -
CS 50010 Module 1
CS 50010 Module 1 Ben Harsha Apr 12, 2017 Course details ● Course is split into 2 modules ○ Module 1 (this one): Covers basic data structures and algorithms, along with math review. ○ Module 2: Probability, Statistics, Crypto ● Goal for module 1: Review basics needed for CS and specifically Information Security ○ Review topics you may not have seen in awhile ○ Cover relevant topics you may not have seen before IMPORTANT This course cannot be used on a plan of study except for the IS Professional Masters program Administrative details ● Office: HAAS G60 ● Office Hours: 1:00-2:00pm in my office ○ Can also email for an appointment, I’ll be in there often ● Course website ○ cs.purdue.edu/homes/bharsha/cs50010.html ○ Contains syllabus, homeworks, and projects Grading ● Module 1 and module are each 50% of the grade for CS 50010 ● Module 1 ○ 55% final ○ 20% projects ○ 20% assignments ○ 5% participation Boolean Logic ● Variables/Symbols: Can only be used to represent 1 or 0 ● Operations: ○ Negation ○ Conjunction (AND) ○ Disjunction (OR) ○ Exclusive or (XOR) ○ Implication ○ Double Implication ● Truth Tables: Can be defined for all of these functions Operations ● Negation (¬p, p, pC, not p) - inverts the symbol. 1 becomes 0, 0 becomes 1 ● Conjunction (p ∧ q, p && q, p and q) - true when both p and q are true. False otherwise ● Disjunction (p v q, p || q, p or q) - True if at least one of p or q is true ● Exclusive Or (p xor q, p ⊻ q, p ⊕ q) - True if exactly one of p or q is true ● Implication (p → q) - True if p is false or q is true (q v ¬p) ● -
Universal Gate - NAND Digital Electronics 2.2 Intro to NAND & NOR Logic
Universal Gate - NAND Digital Electronics 2.2 Intro to NAND & NOR Logic Universal Gate – NAND This presentation will demonstrate • The basic function of the NAND gate. • How a NAND gate can be used to replace an AND gate, an OR gate, or an INVERTER gate. • How a logic circuit implemented with AOI logic gates can Universal Gate – NAND be re-implemented using only NAND gates. • That using a single gate type, in this case NAND, will reduce the number of integrated circuits (IC) required to implement a logic circuit. Digital Electronics AOI Logic NAND Logic 2 More ICs = More $$ Less ICs = Less $$ NAND Gate NAND Gate as an Inverter Gate X X X (Before Bubble) X Z X Y X Y X Z X Y X Y Z X Z 0 0 1 0 1 Equivalent to Inverter 0 1 1 1 0 1 0 1 1 1 0 3 4 Project Lead The Way, Inc Copyright 2009 1 Universal Gate - NAND Digital Electronics 2.2 Intro to NAND & NOR Logic NAND Gate as an AND Gate NAND Gate as an OR Gate X X Y Y X X Z X Y X Y Y Z X Y X Y X Y Y NAND Gate Inverter Inverters NAND Gate X Y Z X Y Z 0 0 0 0 0 0 0 1 0 0 1 1 Equivalent to AND Gate Equivalent to OR Gate 1 0 0 1 0 1 1 1 1 1 1 1 5 6 NAND Gate Equivalent to AOI Gates Process for NAND Implementation 1. -
EE 434 Lecture 2
EE 330 Lecture 6 • PU and PD Networks • Complex Logic Gates • Pass Transistor Logic • Improved Switch-Level Model • Propagation Delay Review from Last Time MOS Transistor Qualitative Discussion of n-channel Operation Source Gate Drain Drain Bulk Gate n-channel MOSFET Source Equivalent Circuit for n-channel MOSFET D D • Source assumed connected to (or close to) ground • VGS=0 denoted as Boolean gate voltage G=0 G = 0 G = 1 • VGS=VDD denoted as Boolean gate voltage G=1 • Boolean G is relative to ground potential S S This is the first model we have for the n-channel MOSFET ! Ideal switch-level model Review from Last Time MOS Transistor Qualitative Discussion of p-channel Operation Source Gate Drain Drain Bulk Gate Source p-channel MOSFET Equivalent Circuit for p-channel MOSFET D D • Source assumed connected to (or close to) positive G = 0 G = 1 VDD • VGS=0 denoted as Boolean gate voltage G=1 • VGS= -VDD denoted as Boolean gate voltage G=0 S S • Boolean G is relative to ground potential This is the first model we have for the p-channel MOSFET ! Review from Last Time Logic Circuits VDD Truth Table A B A B 0 1 1 0 Inverter Review from Last Time Logic Circuits VDD Truth Table A B C 0 0 1 0 1 0 A C 1 0 0 B 1 1 0 NOR Gate Review from Last Time Logic Circuits VDD Truth Table A B C A C 0 0 1 B 0 1 1 1 0 1 1 1 0 NAND Gate Logic Circuits Approach can be extended to arbitrary number of inputs n-input NOR n-input NAND gate gate VDD VDD A1 A1 A2 An A2 F A1 An F A2 A1 A2 An An A1 A 1 A2 F A2 F An An Complete Logic Family Family of n-input NOR gates forms -
Least Sensitive (Most Robust) Fuzzy “Exclusive Or” Operations
Need for Fuzzy . A Crisp \Exclusive Or" . Need for the Least . Least Sensitive For t-Norms and t- . Definition of a Fuzzy . (Most Robust) Main Result Interpretation of the . Fuzzy \Exclusive Or" Fuzzy \Exclusive Or" . Operations Home Page Title Page 1 2 Jesus E. Hernandez and Jaime Nava JJ II 1Department of Electrical and J I Computer Engineering 2Department of Computer Science Page1 of 13 University of Texas at El Paso Go Back El Paso, TX 79968 [email protected] Full Screen [email protected] Close Quit Need for Fuzzy . 1. Need for Fuzzy \Exclusive Or" Operations A Crisp \Exclusive Or" . Need for the Least . • One of the main objectives of fuzzy logic is to formalize For t-Norms and t- . commonsense and expert reasoning. Definition of a Fuzzy . • People use logical connectives like \and" and \or". Main Result • Commonsense \or" can mean both \inclusive or" and Interpretation of the . \exclusive or". Fuzzy \Exclusive Or" . Home Page • Example: A vending machine can produce either a coke or a diet coke, but not both. Title Page • In mathematics and computer science, \inclusive or" JJ II is the one most frequently used as a basic operation. J I • Fact: \Exclusive or" is also used in commonsense and Page2 of 13 expert reasoning. Go Back • Thus: There is a practical need for a fuzzy version. Full Screen • Comment: \exclusive or" is actively used in computer Close design and in quantum computing algorithms Quit Need for Fuzzy . 2. A Crisp \Exclusive Or" Operation: A Reminder A Crisp \Exclusive Or" . Need for the Least .