2002년 하계 여자만 수온, 염분 분포특성 - 이경식, 조영철, 곽종욱 (전라남도수산시험연구소)

2003년 동계-하계 가막만 해수물성 - 이경식, 조영철, 곽종욱 (전라남도수산시험연구소)

A Course In Algebraic Number Theory - 1 - Robert B. Ash (University of Illinois)

A Course In Algebraic Number Theory - 10 - Robert B. Ash (University of Illinois)

A Course In Algebraic Number Theory - 11 - Robert B. Ash (University of Illinois)

A Course In Algebraic Number Theory - 12 - Robert B. Ash (University of Illinois)

A Course In Algebraic Number Theory - 13 - Robert B. Ash (University of Illinois)

A Course In Algebraic Number Theory - 14 - Robert B. Ash (University of Illinois)

A Course In Algebraic Number Theory - 2 - Robert B. Ash (University of Illinois)

A Course In Algebraic Number Theory - 3 - Robert B. Ash (University of Illinois)

A Course In Algebraic Number Theory - 4 - Robert B. Ash (University of Illinois)

A Course In Algebraic Number Theory - 5 - Robert B. Ash (University of Illinois)

A Course In Algebraic Number Theory - 6 - Robert B. Ash (University of Illinois)

A Course In Algebraic Number Theory - 7 - Robert B. Ash (University of Illinois)

A Course In Algebraic Number Theory - 8 - Robert B. Ash (University of Illinois)

A Course In Algebraic Number Theory - 9 - Robert B. Ash (University of Illinois)

A Course In Algebraic Number Theory 1 Preface - Robert B. Ash (University of Illinois)

A Course In Algebraic Number Theory 10 Chapter 8 Factoring of Prime Ideals in Galois Extensions (8 pp.) - Robert B. Ash (University of Illinois)

A Course In Algebraic Number Theory 11 Chapter 9 Local Fields (11 pp.) - Robert B. Ash (University of Illinois)

A Course In Algebraic Number Theory 12 Appendices (12 pp.) - Robert B. Ash (University of Illinois)

A Course In Algebraic Number Theory 13 Solutions - Robert B. Ash (University of Illinois)

A Course In Algebraic Number Theory 14 Index - Robert B. Ash (University of Illinois)

A Course In Algebraic Number Theory 2 Table of Contents - Robert B. Ash (University of Illinois)

A Course In Algebraic Number Theory 3 Chapter 1 Introduction (8 pp.) - Robert B. Ash (University of Illinois)

A Course In Algebraic Number Theory 4 Chapter 2 Norms, Traces and Discriminants (12 pp.) - Robert B. Ash (University of Illinois)

A Course In Algebraic Number Theory 5 Chapter 3 Dedekind Domains (9 pp.) - Robert B. Ash (University of Illinois)

A Course In Algebraic Number Theory 6 Chapter 4 Factoring of Prime Ideals in Extensions (9 pp.) - Robert B. Ash (University of Illinois)

A Course In Algebraic Number Theory 7 Chapter 5 The Ideal Class Group (7 pp.) - Robert B. Ash (University of Illinois)

A Course In Algebraic Number Theory 8 Chapter 6 The Dirichlet Unit Theorem (7 pp.) - Robert B. Ash (University of Illinois)

A Course In Algebraic Number Theory 9 Chapter 7 Cyclotomic Extensions (7 pp.) - Robert B. Ash (University of Illinois)

A Course In Commutative Algebra 1 Preface - Robert B. Ash (University of Illinois)

A Course In Commutative Algebra 10 Chapter 7 Homological Methods (8 pp.) - Robert B. Ash (University of Illinois)

A Course In Commutative Algebra 11 Chapter 8 Regular Local Rings (3 pp.) - Robert B. Ash (University of Illinois)

A Course In Commutative Algebra 12 Exercises (7 pp.) - Robert B. Ash (University of Illinois)

A Course In Commutative Algebra 13 Solutions (8 pp.) - Robert B. Ash (University of Illinois)

A Course In Commutative Algebra 14 List of Symbols - Robert B. Ash (University of Illinois)

A Course In Commutative Algebra 15 Index - Robert B. Ash (University of Illinois)

A Course In Commutative Algebra 2 Table of Contents - Robert B. Ash (University of Illinois)

A Course In Commutative Algebra 3 Chapter 0 Ring Theory Background (7 pp.) - Robert B. Ash (University of Illinois)

A Course In Commutative Algebra 4 Chapter 1 Primary Decomposition and Associated Primes (15 pp.) - Robert B. Ash (University of Illinois)

A Course In Commutative Algebra 5 Chapter 2 Integral Extensions (9 pp.) - Robert B. Ash (University of Illinois)

A Course In Commutative Algebra 6 Chapter 3 Valuation Rings (9 pp.) - Robert B. Ash (University of Illinois)

A Course In Commutative Algebra 7 Chapter 4 Completion (10 pp.) - Robert B. Ash (University of Illinois)

A Course In Commutative Algebra 8 Chapter 5 Dimension Theory (15 pp.) - Robert B. Ash (University of Illinois)

A Course In Commutative Algebra 9 Chapter 6 Depth (4 pp.) - Robert B. Ash (University of Illinois)

A Numerical Investigation of the Remote Influence of Pacific ENSO on Variability in the Tropical Atlantic Ocean - 민덕홍 (Center for Ocean-Land-Atmosphere, IGES, Calverton, Maryland, USA)

A Summary of Calculus - Karl Heinz Dovermann (University of Hawaii)

A Theory for the Nearly Annual Mode in the tropical Pacific - 국종성 (서울대학교)

Abstract Algebra - Lecture 1 - Kiryl Tsishchanka (New York University)

Abstract Algebra - Lecture 10 - Kiryl Tsishchanka (New York University)

Abstract Algebra - Lecture 11 - Kiryl Tsishchanka (New York University)

Abstract Algebra - Lecture 12 - Kiryl Tsishchanka (New York University)

Abstract Algebra - Lecture 13 - Kiryl Tsishchanka (New York University)

Abstract Algebra - Lecture 14 - Kiryl Tsishchanka (New York University)

Abstract Algebra - Lecture 15 - Kiryl Tsishchanka (New York University)

Abstract Algebra - Lecture 16 - Kiryl Tsishchanka (New York University)

Abstract Algebra - Lecture 17 - Kiryl Tsishchanka (New York University)

Abstract Algebra - Lecture 18 - Kiryl Tsishchanka (New York University)

Abstract Algebra - Lecture 19 - Kiryl Tsishchanka (New York University)

Abstract Algebra - Lecture 2 - Kiryl Tsishchanka (New York University)

Abstract Algebra - Lecture 20 - Kiryl Tsishchanka (New York University)

Abstract Algebra - Lecture 21 - Kiryl Tsishchanka (New York University)

Abstract Algebra - Lecture 22 - Kiryl Tsishchanka (New York University)

Abstract Algebra - Lecture 23 - Kiryl Tsishchanka (New York University)

Abstract Algebra - Lecture 24 - Kiryl Tsishchanka (New York University)

Abstract Algebra - Lecture 25 - Kiryl Tsishchanka (New York University)

Abstract Algebra - Lecture 26 - Kiryl Tsishchanka (New York University)

Abstract Algebra - Lecture 27 - Kiryl Tsishchanka (New York University)

Abstract Algebra - Lecture 28 - Kiryl Tsishchanka (New York University)

Abstract Algebra - Lecture 29 - Kiryl Tsishchanka (New York University)

Abstract Algebra - Lecture 3 - Kiryl Tsishchanka (New York University)

Abstract Algebra - Lecture 30 - Kiryl Tsishchanka (New York University)

Abstract Algebra - Lecture 31 - Kiryl Tsishchanka (New York University)

Abstract Algebra - Lecture 4 - Kiryl Tsishchanka (New York University)

Abstract Algebra - Lecture 5 - Kiryl Tsishchanka (New York University)

Abstract Algebra - Lecture 6 - Kiryl Tsishchanka (New York University)

Abstract Algebra - Lecture 7 - Kiryl Tsishchanka (New York University)

Abstract Algebra - Lecture 8 - Kiryl Tsishchanka (New York University)

Abstract Algebra - Lecture 9 - Kiryl Tsishchanka (New York University)

Advanced Topics in Cryptography 1 Interactive Proofs and Zero-Knowledge Proofs - Moses Liskov (MIT)

Advanced Topics in Cryptography 10 Non-Interactive ZK Proofs for all of NP - None (MIT)

Advanced Topics in Cryptography 11 Generalizing Non-Interactive Zero-Knowledge Proofs - Scott Russell (MIT)

Advanced Topics in Cryptography 12 Improved Non-Interactive Zero-Knowledge - Peng Xie (MIT)

Advanced Topics in Cryptography 13 NIZK and the Lunchtime Attack - Jonathan Herzog (MIT)

Advanced Topics in Cryptography 14 Lunchtime and Chosen Ciphertext Security - David Wilson (MIT)

Advanced Topics in Cryptography 15 A Practical CCA-2 PK Cryptosystem - Javed?Samuel (MIT)

Advanced Topics in Cryptography 16 Defining ZK Proofs of Knowledge - Vitaly Feldman (MIT)

Advanced Topics in Cryptography 17 Mutually Independent Commitments - Shien Jin Ong (MIT)

Advanced Topics in Cryptography 18 Concurrent Zero-Knowledge - Jonathan Derryberry (MIT)

Advanced Topics in Cryptography 19 Concurrent Zero-Knowledge in Polylogarithmic Rounds - Nenad Dedi? (MIT)

Advanced Topics in Cryptography 2 The Notion of Zero-Knowledgeness - Loizos Michael (MIT)

Advanced Topics in Cryptography 20 Secure Multi-Party Computation in the HBC Model - Yael Tauman (MIT)

Advanced Topics in Cryptography 21 Compiling an Honest but Curious Protocol - Jonathan Derryberry (MIT)

Advanced Topics in Cryptography 22 Multi-Party Computation with Perfect Channels - Chun-Yun Hsiao (MIT)

Advanced Topics in Cryptography 3 Zero-Knowledge Proofs (cont.) - Steve Weis (MIT)

Advanced Topics in Cryptography 4 ZK Proofs and Proofs of Knowledge - Susan Hohenberger (MIT)

Advanced Topics in Cryptography 5 ZK Proofs for all of NP - Dah-Yoh Lim (MIT)

Advanced Topics in Cryptography 6 Power and Efficiency of ZK - Abhi Shelat (MIT)

Advanced Topics in Cryptography 7 Variations on ZK - Jo?l Alwen (MIT)

Advanced Topics in Cryptography 8 Communication Efficiency for NP Arguments - Christopher Peikert (MIT)

Advanced Topics in Cryptography 9 A Bounded NIZK Proof System for a Special Language - Matthew Lepinski (MIT)

Algebraic Curves - Robert Coleman (University of California, Berkeley)

Algebraic Curves - Robert Coleman (University of California, Berkeley)

Algebraic Curves - Robert Coleman (University of California, Berkeley)

Algebraic Curves - Robert Coleman (University of California, Berkeley)

Algebraic Curves - Robert Coleman (University of California, Berkeley)

Algebraic Curves - Robert Coleman (University of California, Berkeley)

Algebraic Curves - Robert Coleman (University of California, Berkeley)

Algebraic Curves - Robert Coleman (University of California, Berkeley)

Algebraic Curves - Robert Coleman (University of California, Berkeley)

Algebraic Curves - Robert Coleman (University of California, Berkeley)

Algebraic Curves - Robert Coleman (University of California, Berkeley)

Algebraic Curves - Robert Coleman (University of California, Berkeley)

Algebraic Curves - Robert Coleman (University of California, Berkeley)

Algebraic Curves - Robert Coleman (University of California, Berkeley)

Algebraic Curves - Robert Coleman (University of California, Berkeley)

Algebraic Curves - Robert Coleman (University of California, Berkeley)

Algebraic Curves - Robert Coleman (University of California, Berkeley)

Algebraic Curves - Robert Coleman (University of California, Berkeley)

Algebraic Curves - Robert Coleman (University of California, Berkeley)

Algebraic Curves - Robert Coleman (University of California, Berkeley)

Algebraic Curves - Robert Coleman (University of California, Berkeley)

Algebraic Curves - Robert Coleman (University of California, Berkeley)

Algebraic Curves - Robert Coleman (University of California, Berkeley)

Algebraic Curves - Robert Coleman (University of California, Berkeley)

Algebraic Curves - Robert Coleman (University of California, Berkeley)

Algebraic Curves - Robert Coleman (University of California, Berkeley)

Algebraic Curves - Robert Coleman (University of California, Berkeley)

Algebraic Curves - Robert Coleman (University of California, Berkeley)

Algebraic Curves - Robert Coleman (University of California, Berkeley)

Algebraic Curves - Robert Coleman (University of California, Berkeley)

Algebraic Curves - Robert Coleman (University of California, Berkeley)

Algebraic Curves - Robert Coleman (University of California, Berkeley)

Algebraic Curves - Robert Coleman (University of California, Berkeley)

Algebraic Curves - Robert Coleman (University of California, Berkeley)

Algebraic Geometry 1 Introduction - Martin Olsson (MIT)

Algebraic Geometry 10 Applications - Martin Olsson (MIT)

Algebraic Geometry 11 Recap on the Applications - Martin Olsson (MIT)

Algebraic Geometry 12 Homework 5 Problem - Martin Olsson (MIT)

Algebraic Geometry 13 Back to Dimension - Martin Olsson (MIT)

Algebraic Geometry 14 Fibers of Morphisms - Martin Olsson (MIT)

Algebraic Geometry 15 Fiber Products - Martin Olsson (MIT)

Algebraic Geometry 16 Completeness - Martin Olsson (MIT)

Algebraic Geometry 17 Chow's Lemma - Martin Olsson (MIT)

Algebraic Geometry 18 Curves - Martin Olsson (MIT)

Algebraic Geometry 19 What is Next? - Martin Olsson (MIT)

Algebraic Geometry 2 Recap of Last Time - Martin Olsson (MIT)

Algebraic Geometry 20 Problem Set 1 - Martin Olsson (MIT)

Algebraic Geometry 21 Problem Set 2 - Martin Olsson (MIT)

Algebraic Geometry 22 Problem Set 3 - Martin Olsson (MIT)

Algebraic Geometry 23 Problem Set 4 - Martin Olsson (MIT)

Algebraic Geometry 24 Problem Set 5 - Martin Olsson (MIT)

Algebraic Geometry 25 Problem Set 6 - Martin Olsson (MIT)

Algebraic Geometry 26 Problem Set 7 - Martin Olsson (MIT)

Algebraic Geometry 27 Problem Set 8 - Martin Olsson (MIT)

Algebraic Geometry 28 Problem Set 9 - Martin Olsson (MIT)

Algebraic Geometry 29 Problem Set 10 - Martin Olsson (MIT)

Algebraic Geometry 3 Projective Space (cont.) - Martin Olsson (MIT)

Algebraic Geometry 30 Final Take-home Exam - Martin Olsson (MIT)

Algebraic Geometry 4 Projective Space (cont.) - Martin Olsson (MIT)

Algebraic Geometry 5 Presheaves - Martin Olsson (MIT)

Algebraic Geometry 6 Review of things not covered enough (Topics: Fibers, Morphisms of Sheaves) - Martin Olsson (MIT)

Algebraic Geometry 7 Homework Review - Martin Olsson (MIT)

Algebraic Geometry 8 Projective Varieties - Martin Olsson (MIT)

Algebraic Geometry 9 A Review on?Projective Varieties - Martin Olsson (MIT)

Algebraic Topology - Chapter 1 - Allen Hatcher (Cornell University)

An observation of the abrupt changes in the East Sea during the passage of the 2003 typhoon 'MAEMI' - 남성현 (서울대학교)

Annual Variation of Sea Surface Heights across the Taiwan and Korea Straits - 장성태 (한국해양연구원 해양기후환경연구본부)

Applied Differential Equations I(NCSU)-Applied Differential Equations I(NCSU)-Lecture 1 - Harvey Charlton (North Carolina State University)

Biological activity of recombinant IL-1 in rainbow trout, Oncorhyncus mykiss - Suhee Hong, Sang-Jun Lee, Chris Secombes (Unuversity of Aberdeen, National Fisheries Research and Development Institute)

BULK선용 자동 Ballast Water Management Plan 개발 - 홍충유, 권영섭, 권성진, 황진욱, 박제웅 (조선대학교, (주)메카정보통신)

Combinatorial Optimization - Approximation Algorithms - Santosh Vempala (MIT)

Combinatorial Optimization - Flow Duality and Algorithms - Santosh Vempala (MIT)

Combinatorial Optimization - Linear Programs - Santosh Vempala (MIT)

Combinatorial Optimization - Matching Algorithms - Santosh Vempala (MIT)

Combinatorial Optimization - Minimum Cuts - Santosh Vempala (MIT)

Combinatorial Optimization - NP-completeness - Santosh Vempala (MIT)

Combinatorial Optimization - Polyhedral Combinatorics - Santosh Vempala (MIT)

Combinatorial Optimization - Separation Oracles - Santosh Vempala (MIT)

Combinatorial Optimization - The Ellipsoid Algorithm - Santosh Vempala (MIT)

Combinatorial Optimization - The Matching Polytope_ Bipartite Graphs - Santosh Vempala (MIT)

Combinatorial Optimization - The Matching Polytope_ General Graphs - Santosh Vempala (MIT)

Combinatorial Optimization - The Primal-dual Algorithm - Santosh Vempala (MIT)

Combinatorial Optimization - The Simplex Algorithm - Santosh Vempala (MIT)

Computational Geometry - Lecture 1 - Nicholas M. Patrikalakis (Massachusetts Institute of Technology)

Computational Geometry - Lecture 10-12 - Nicholas M. Patrikalakis (Massachusetts Institute of Technology)

Computational Geometry - Lecture 13 - Nicholas M. Patrikalakis (Massachusetts Institute of Technology)

Computational Geometry - Lecture 14 and 15 - Nicholas M. Patrikalakis (Massachusetts Institute of Technology)

Computational Geometry - Lecture 19 - Nicholas M. Patrikalakis (Massachusetts Institute of Technology)

Computational Geometry - Lecture 2 - Nicholas M. Patrikalakis (Massachusetts Institute of Technology)

Computational Geometry - Lecture 20 - Nicholas M. Patrikalakis (Massachusetts Institute of Technology)

Computational Geometry - Lecture 21 - Nicholas M. Patrikalakis (Massachusetts Institute of Technology)

Computational Geometry - Lecture 23 - Nicholas M. Patrikalakis (Massachusetts Institute of Technology)

Computational Geometry - Lecture 3 - Nicholas M. Patrikalakis (Massachusetts Institute of Technology)

Computational Geometry - Lecture 4 and 5 - Nicholas M. Patrikalakis (Massachusetts Institute of Technology)

Computational Geometry - Lecture 6 - Nicholas M. Patrikalakis (Massachusetts Institute of Technology)

Computational Geometry - Lecture 8 - Nicholas M. Patrikalakis (Massachusetts Institute of Technology)

Computational Geometry - Lecture 9 - Nicholas M. Patrikalakis (Massachusetts Institute of Technology)

Crypto and Number Theory - Lecture 1 - Paul Garrett (University of Minnesota)

Crypto and Number Theory - Lecture 10 - Paul Garrett (University of Minnesota)

Crypto and Number Theory - Lecture 11 - Paul Garrett (University of Minnesota)

Crypto and Number Theory - Lecture 12 - Paul Garrett (University of Minnesota)

Crypto and Number Theory - Lecture 13 - Paul Garrett (University of Minnesota)

Crypto and Number Theory - Lecture 14 - Paul Garrett (University of Minnesota)

Crypto and Number Theory - Lecture 15 - Paul Garrett (University of Minnesota)

Crypto and Number Theory - Lecture 16 - Paul Garrett (University of Minnesota)

Crypto and Number Theory - Lecture 17 - Paul Garrett (University of Minnesota)

Crypto and Number Theory - Lecture 18 - Paul Garrett (University of Minnesota)

Crypto and Number Theory - Lecture 19 - Paul Garrett (University of Minnesota)

Crypto and Number Theory - Lecture 2 - Paul Garrett (University of Minnesota)

Crypto and Number Theory - Lecture 20 - Paul Garrett (University of Minnesota)

Crypto and Number Theory - Lecture 21 - Paul Garrett (University of Minnesota)

Crypto and Number Theory - Lecture 22 - Paul Garrett (University of Minnesota)

Crypto and Number Theory - Lecture 23 - Paul Garrett (University of Minnesota)

Crypto and Number Theory - Lecture 3 - Paul Garrett (University of Minnesota)

Crypto and Number Theory - Lecture 4 - Paul Garrett (University of Minnesota)

Crypto and Number Theory - Lecture 5 - Paul Garrett (University of Minnesota)

Crypto and Number Theory - Lecture 6 - Paul Garrett (University of Minnesota)

Crypto and Number Theory - Lecture 7 - Paul Garrett (University of Minnesota)

Crypto and Number Theory - Lecture 8 - Paul Garrett (University of Minnesota)

Crypto and Number Theory - Lecture 9 - Paul Garrett (University of Minnesota)

DGPS를 이용한 선박 및 해양작업선의 위치제어장치 개발 - 홍충유, 나국환, 이동신, 조철희, 박병옥, 최학선, 박제웅, 김주남 ((주)메카정보통신,인하대학교,목포조선공업,한국해양연구소,조선대학교,선박검사 기술협회)

Discrete Mathematics - Lecture 1 - Kiryl Tsishchanka (New York University)

Discrete Mathematics - Lecture 10 - Kiryl Tsishchanka (New York University)

Discrete Mathematics - Lecture 11 - Kiryl Tsishchanka (New York University)

Discrete Mathematics - Lecture 12 - Kiryl Tsishchanka (New York University)

Discrete Mathematics - Lecture 13 - Kiryl Tsishchanka (New York University)

Discrete Mathematics - Lecture 14 - Kiryl Tsishchanka (New York University)

Discrete Mathematics - Lecture 15 - Kiryl Tsishchanka (New York University)

Discrete Mathematics - Lecture 16 - Kiryl Tsishchanka (New York University)

Discrete Mathematics - Lecture 17 - Kiryl Tsishchanka (New York University)

Discrete Mathematics - Lecture 18 - Kiryl Tsishchanka (New York University)

Discrete Mathematics - Lecture 2 - Kiryl Tsishchanka (New York University)

Discrete Mathematics - Lecture 3 - Kiryl Tsishchanka (New York University)

Discrete Mathematics - Lecture 4 - Kiryl Tsishchanka (New York University)

Discrete Mathematics - Lecture 5 - Kiryl Tsishchanka (New York University)

Discrete Mathematics - Lecture 6 - Kiryl Tsishchanka (New York University)

Discrete Mathematics - Lecture 7 - Kiryl Tsishchanka (New York University)

Discrete Mathematics - Lecture 8 - Kiryl Tsishchanka (New York University)

Discrete Mathematics - Lecture 9 - Kiryl Tsishchanka (New York University)

Distribution of Prime Numbers - Chapter 1 - William Chen (Macquarie University)

Distribution of Prime Numbers - Chapter 1 - William Chen (Macquarie University)

Distribution of Prime Numbers - Chapter 2 - William Chen (Macquarie University)

Distribution of Prime Numbers - Chapter 2 - William Chen (Macquarie University)

Distribution of Prime Numbers - Chapter 3 - William Chen (Macquarie University)

Distribution of Prime Numbers - Chapter 3 - William Chen (Macquarie University)

Distribution of Prime Numbers - Chapter 4 - William Chen (Macquarie University)

Distribution of Prime Numbers - Chapter 4 - William Chen (Macquarie University)

Distribution of Prime Numbers - Chapter 5 - William Chen (Macquarie University)

Distribution of Prime Numbers - Chapter 5 - William Chen (Macquarie University)

Distribution of Prime Numbers - Chapter 6 - William Chen (Macquarie University)

Distribution of Prime Numbers - Chapter 6 - William Chen (Macquarie University)

DSM(Dynamical Systems Method) - Alexander G. Ramm (KSU)

Ejector 내의 유동특성에 관한 연구 - 이행남, 박지만, 이덕구 (조선대학교 기계공학과)

Elementary Number Theory - Chapter 1 - William Chen (Macquarie University)

Elementary Number Theory - Chapter 1 - William Chen (Macquarie University)

Elementary Number Theory - Chapter 2 - William Chen (Macquarie University)

Elementary Number Theory - Chapter 2 - William Chen (Macquarie University)

Elementary Number Theory - Chapter 3 - William Chen (Macquarie University)

Elementary Number Theory - Chapter 3 - William Chen (Macquarie University)

Elementary Number Theory - Chapter 4 - William Chen (Macquarie University)

Elementary Number Theory - Chapter 4 - William Chen (Macquarie University)

Elementary Number Theory - Chapter 5 - William Chen (Macquarie University)

Elementary Number Theory - Chapter 5 - William Chen (Macquarie University)

Elementary Number Theory - Chapter 6 - William Chen (Macquarie University)

Elementary Number Theory - Chapter 6 - William Chen (Macquarie University)

Elementary Number Theory - Chapter 7 - William Chen (Macquarie University)

Elementary Number Theory - Chapter 7 - William Chen (Macquarie University)

Fields (1999, 2nd edition 2002) - Warren Siegel (State University of New York at Stony Brook)

Global SST Prediction System at Climate Environment System Research Center - 국종성, 이준이, 강인식, 서호영 (서울대학교, NASA)

Group actions on manifolds - Eckhard Meinrenken (University of Toronto)

Inverse Problems 1 - Alexander G. Ramm (KSU)

Inverse Problems 2 - Alexander G. Ramm (KSU)

Inverse Problems 3 - Alexander G. Ramm (KSU)

Investigation of the particle settling process in the ocean mixed layer using LES - 노의근 (연세대학교)

Lectures on Symplectic Geometry - Ana Cannas da Silva (Princeton University)

Lie Groups and Representations - Peter Woit (Columbia University)

Lie Groups and Representations - Peter Woit (Columbia University)

Lie Groups and Representations - Peter Woit (Columbia University)

Lie Groups and Representations - Peter Woit (Columbia University)

Lie Groups and Representations - Peter Woit (Columbia University)

Lie Groups and Representations - Peter Woit (Columbia University)

Lie Groups and Representations - Peter Woit (Columbia University)

Lie Groups and Representations - Peter Woit (Columbia University)

Lie Groups and Representations - Peter Woit (Columbia University)

Lie Groups and Representations - Peter Woit (Columbia University)

Lie Groups and Representations - Peter Woit (Columbia University)

Lie Groups and Representations - Peter Woit (Columbia University)

Lie Groups and Representations - Peter Woit (Columbia University)

Lie Groups and Representations - Peter Woit (Columbia University)

Lie Groups and Representations - Peter Woit (Columbia University)

Lie Groups and Representations - Peter Woit (Columbia University)

Lie Groups and Representations - Peter Woit (Columbia University)

Lie Groups and Representations - Peter Woit (Columbia University)

Lie Groups and Representations - Peter Woit (Columbia University)

Lie Groups and Representations - Peter Woit (Columbia University)

Lie Groups and Representations - Peter Woit (Columbia University)

Lie Groups and Representations - Peter Woit (Columbia University)

Lie Groups and Representations - Peter Woit (Columbia University)

Lie Groups and Representations - Peter Woit (Columbia University)

Lie Groups and Representations - Peter Woit (Columbia University)

Lie Groups and Representations - Peter Woit (Columbia University)

Linear Algebra - Lecture 1 - Kiryl Tsishchanka (New York University)

Linear Algebra - Lecture 10 - Kiryl Tsishchanka (New York University)

Linear Algebra - Lecture 11 - Kiryl Tsishchanka (New York University)

Linear Algebra - Lecture 12 - Kiryl Tsishchanka (New York University)

Linear Algebra - Lecture 13 - Kiryl Tsishchanka (New York University)

Linear Algebra - Lecture 14 - Kiryl Tsishchanka (New York University)

Linear Algebra - Lecture 15 - Kiryl Tsishchanka (New York University)

Linear Algebra - Lecture 16 - Kiryl Tsishchanka (New York University)

Linear Algebra - Lecture 17 - Kiryl Tsishchanka (New York University)

Linear Algebra - Lecture 18 - Kiryl Tsishchanka (New York University)

Linear Algebra - Lecture 19 - Kiryl Tsishchanka (New York University)

Linear Algebra - Lecture 2 - Kiryl Tsishchanka (New York University)

Linear Algebra - Lecture 20 - Kiryl Tsishchanka (New York University)

Linear Algebra - Lecture 21 - Kiryl Tsishchanka (New York University)

Linear Algebra - Lecture 22 - Kiryl Tsishchanka (New York University)

Linear Algebra - Lecture 23 - Kiryl Tsishchanka (New York University)

Linear Algebra - Lecture 24 - Kiryl Tsishchanka (New York University)

Linear Algebra - Lecture 25 - Kiryl Tsishchanka (New York University)

Linear Algebra - Lecture 26 - Kiryl Tsishchanka (New York University)

Linear Algebra - Lecture 27 - Kiryl Tsishchanka (New York University)

Linear Algebra - Lecture 28 - Kiryl Tsishchanka (New York University)

Linear Algebra - Lecture 29 - Kiryl Tsishchanka (New York University)

Linear Algebra - Lecture 3 - Kiryl Tsishchanka (New York University)

Linear Algebra - Lecture 30 - Kiryl Tsishchanka (New York University)

Linear Algebra - Lecture 31 - Kiryl Tsishchanka (New York University)

Linear Algebra - Lecture 32 - Kiryl Tsishchanka (New York University)

Linear Algebra - Lecture 4 - Kiryl Tsishchanka (New York University)

Linear Algebra - Lecture 5 - Kiryl Tsishchanka (New York University)

Linear Algebra - Lecture 6 - Kiryl Tsishchanka (New York University)

Linear Algebra - Lecture 7 - Kiryl Tsishchanka (New York University)

Linear Algebra - Lecture 8 - Kiryl Tsishchanka (New York University)

Linear Algebra - Lecture 9 - Kiryl Tsishchanka (New York University)

Local Tomography and Image Processing - Alexander G. Ramm (KSU)

Localization and String Duality - Kefeng Liu (UCLA)

Mathematical Statistics 1 1.1 Deciding between Two Simple Hypotheses: The Neyman Pearson Lemma, 8 pages. - Richard Dudley (MIT)

Mathematical Statistics 10 2.3 Minimal Sufficiency and the Lehmann Scheff??Property, 6 pages. - Richard Dudley (MIT)

Mathematical Statistics 11 2.4 Lower Bounds on Mean squared Errors: Information Inequalities, 10 pages. - Richard Dudley (MIT)

Mathematical Statistics 12 2.5 Exponential Families, 13 pages. - Richard Dudley (MIT)

Mathematical Statistics 13 2.6 Bayes Estimation, 5 pages. - Richard Dudley (MIT)

Mathematical Statistics 14 2.7 Stein\'s Phenomenon and James Stein Estimators, 5 pages. - Richard Dudley (MIT)

Mathematical Statistics 15 2.8* Continuity at the Boundary for Exponential Families, 3 pages. - Richard Dudley (MIT)

Mathematical Statistics 16 3.1 Maximum Likelihood Estimates? In Exponential Families, 4 pages. - Richard Dudley (MIT)

Mathematical Statistics 17 3.2 Likelihood Equations and Errors in variables Regression: Solari\'s Example, 5 pages. - Richard Dudley (MIT)

Mathematical Statistics 18 3.3 M estimators and Their Consistency, 8 pages. - Richard Dudley (MIT)

Mathematical Statistics 19 3.4 M estimates and Robust Location Estimates, 8 pages. - Richard Dudley (MIT)

Mathematical Statistics 2 1.2 Decision Theory, 6 pages. - Richard Dudley (MIT)

Mathematical Statistics 20 3.44 Robustness, Breakdown Points, and 1 dimensional Location M estimates, 6 pages. - Richard Dudley (MIT)

Mathematical Statistics 21 3.5 Consistency of Approximate M estimators of?psi?type, 4 pages. - Richard Dudley (MIT)

Mathematical Statistics 22 3.6 Asymptotic Normality of M estimates, 8 pages. - Richard Dudley (MIT)

Mathematical Statistics 23 3.7 Efficiency of Estimators, 11 pages. - Richard Dudley (MIT)

Mathematical Statistics 24 3.8 Efficiency of Maximum Likelihood Estimators, 4 pages. - Richard Dudley (MIT)

Mathematical Statistics 25 3.9 A Likelihood Ratio Test for Nested Composite Hypotheses: Wilks\'s theorem, 5 pages. - Richard Dudley (MIT)

Mathematical Statistics 26 4.1 Convergence of Posteriors, 5 pages. - Richard Dudley (MIT)

Mathematical Statistics 27 Appendix A. Uniqueness of Likelihood Ratios, 2 pages. - Richard Dudley (MIT)

Mathematical Statistics 28 Appendix B. Preservation of Dimension by 1 1 Continuous Functions, 1 page. - Richard Dudley (MIT)

Mathematical Statistics 29 Appendix C. Separability of Stochastic Processes, 1 page. - Richard Dudley (MIT)

Mathematical Statistics 3 1.3 Bayes Decision Theory, 6 pages. - Richard Dudley (MIT)

Mathematical Statistics 30 Appendix D. Mathematical Foundations of Probability Theory, 2 pages. - Richard Dudley (MIT)

Mathematical Statistics 31 Appendix E. Line fitting by Distance: Errors in variables Regression, 3 pages. - Richard Dudley (MIT)

Mathematical Statistics 32 Appendix F. The Lagrange Multiplier Technique, 2 pages. - Richard Dudley (MIT)

Mathematical Statistics 33 Problem Set 1 - Richard Dudley (MIT)

Mathematical Statistics 34 Problem Set 2 - Richard Dudley (MIT)

Mathematical Statistics 35 Problem Set 3 - Richard Dudley (MIT)

Mathematical Statistics 36 Problem Set 4 - Richard Dudley (MIT)

Mathematical Statistics 37 Problem Set 5 - Richard Dudley (MIT)

Mathematical Statistics 38 Problem Set 6 - Richard Dudley (MIT)

Mathematical Statistics 39 Problem Set 7 - Richard Dudley (MIT)

Mathematical Statistics 4 1.4* Realizable Rules, 2 pages. - Richard Dudley (MIT)

Mathematical Statistics 40 Problem Set 8 - Richard Dudley (MIT)

Mathematical Statistics 41 Problem Set 9 - Richard Dudley (MIT)

Mathematical Statistics 42 Problem Set 10 - Richard Dudley (MIT)

Mathematical Statistics 43 Hint (Problem Set 2) - Richard Dudley (MIT)

Mathematical Statistics 44 Hint (Problem Set 3) - Richard Dudley (MIT)

Mathematical Statistics 45 Hint (Problem Set 4) - Richard Dudley (MIT)

Mathematical Statistics 46 Hint (Problem Set 5) - Richard Dudley (MIT)

Mathematical Statistics 47 Hint (Problem Set 6) - Richard Dudley (MIT)

Mathematical Statistics 48 Hint (Problem Set 7) - Richard Dudley (MIT)

Mathematical Statistics 49 Review for Midterm - Richard Dudley (MIT)

Mathematical Statistics 5 1.5 The Sequential Probability Ratio Test, 5 pages. - Richard Dudley (MIT)

Mathematical Statistics 50 Midterm Exam - Richard Dudley (MIT)

Mathematical Statistics 51 Review for Final Exam - Richard Dudley (MIT)

Mathematical Statistics 52 Final Exam - Richard Dudley (MIT)

Mathematical Statistics 6 1.6 Sequential Decision Theory, 2 pages. - Richard Dudley (MIT)

Mathematical Statistics 7 1.7 Proof of Optimality of the SPRT, 9 pages. - Richard Dudley (MIT)

Mathematical Statistics 8 2.1 Sufficient Statistics, 8 pages. - Richard Dudley (MIT)

Mathematical Statistics 9 2.2 Estimation and Convexity, 5 pages. - Richard Dudley (MIT)

Measure and Integration-01.Why Measure Theory? - Jeff Viaclovsky (MIT)

Measure and Integration-02.Real-valued Measurable Functions - Jeff Viaclovsky (MIT)

Measure and Integration-03.Riemann Integral - Jeff Viaclovsky (MIT)

Measure and Integration-04.Integral is Additive for Simple Functions - Jeff Viaclovsky (MIT)

Measure and Integration-05.Integral of Complex Functions - Jeff Viaclovsky (MIT)

Measure and Integration-06.Lebesgue Measure on R^n - Jeff Viaclovsky (MIT)

Measure and Integration-07.Definition of Lebesgue Measurable for Sets with Finite Outer Measure - Jeff Viaclovsky (MIT)

Measure and Integration-08.Caratheodory Criterion - Jeff Viaclovsky (MIT)

Measure and Integration-09.Invariance of Lebesgue Measure under Translations and Dilations - Jeff Viaclovsky (MIT)

Measure and Integration-10.Integration as a Linear Functional - Jeff Viaclovsky (MIT)

Measure and Integration-11.Lusin's Theorem (Measurable Functions are nearly continuous) - Jeff Viaclovsky (MIT)

Measure and Integration-12.Approximation of Measurable Functions by Continuous Functions - Jeff Viaclovsky (MIT)

Measure and Integration-13.Egoroff's Theorem (Pointwise Convergence is nearly uniform) - Jeff Viaclovsky (MIT)

Measure and Integration-14.Convex Functions - Jeff Viaclovsky (MIT)

Measure and Integration-15.L^p Spaces, 1 Leq p Leq Infty - Jeff Viaclovsky (MIT)

Measure and Integration-16.C_c Dense in L^p, 1 Leq p < Infty - Jeff Viaclovsky (MIT)

Measure and Integration-17.Inclusions between L^p Spaces? l^p Spaces? - Jeff Viaclovsky (MIT)

Measure and Integration-18.Fubini's Theorem in R^n for Non-negative Functions - Jeff Viaclovsky (MIT)

Measure and Integration-19.Fubini's Theorem in R^n for L^1 Functions - Jeff Viaclovsky (MIT)

Measure and Integration-20.Fubini's Theorem for Product Measure - Jeff Viaclovsky (MIT)

Measure and Integration-21.Young's Inequality - Jeff Viaclovsky (MIT)

Measure and Integration-22.Fundamental Theorem of Calculus for Lebesgue Integral - Jeff Viaclovsky (MIT)

Measure and Integration-23.Lebesgue's Differentiation Theorem - Jeff Viaclovsky (MIT)

Measure and Integration-24.Generalized Minkowski Inequality - Jeff Viaclovsky (MIT)

Mirror Symmetry and Localization - Kefeng Liu (UCLA)

Modified Rayleigh Conjecture - Alexander G. Ramm (KSU)

Nonlinear Fourier Analysis - Christoph Thiele (UCLA)

Parvicapsula anisocaudata Zhao, Ma and Song, 2003 (Myxosporea: Parvicapsulidae) from urinary system of cultured olive flounder, Paralichtys olivaceus - Jae Bum Cho, Ki Hong Kim (The Graduate School, Department of Fish Pathology, Pukyong National University)

Quantum Computation 1 Basics of Quantum Mechanics - Peter Shor (MIT)

Quantum Computation 10 Homework 1 - Peter Shor (MIT)

Quantum Computation 11 Homework 2 - Peter Shor (MIT)

Quantum Computation 12 Homework 3 - Peter Shor (MIT)

Quantum Computation 13 Homework 4 - Peter Shor (MIT)

Quantum Computation 14 Homework 5 - Peter Shor (MIT)

Quantum Computation 15 Homework 1(Optional) - Peter Shor (MIT)

Quantum Computation 16 Homework 2(Optional) - Peter Shor (MIT)

Quantum Computation 17 Homework 3(Optional) - Peter Shor (MIT)

Quantum Computation 18 Homework 4(Optional) - Peter Shor (MIT)

Quantum Computation 19 Homework 5(Optional) - Peter Shor (MIT)

Quantum Computation 2 Classical Computation Models and Quantum Gates - Peter Shor (MIT)

Quantum Computation 20 Solution of Homework 1 - Peter Shor (MIT)

Quantum Computation 21 Solution of Homework 2 - Peter Shor (MIT)

Quantum Computation 22 Solution of Homework 3 - Peter Shor (MIT)

Quantum Computation 23 Solution of Homework 4 - Peter Shor (MIT)

Quantum Computation 24 Solution of Homework 5 - Peter Shor (MIT)

Quantum Computation 25 Solution of Homework 1 (Optional) - Peter Shor (MIT)

Quantum Computation 26 Solution of Homework 2 (Optional) - Peter Shor (MIT)

Quantum Computation 27 Solution of Homework 3 (Optional) - Peter Shor (MIT)

Quantum Computation 28 Solution of Homework 4 (Optional) - Peter Shor (MIT)

Quantum Computation 29 Solution of Homework 5 (Optional) - Peter Shor (MIT)

Quantum Computation 3 Quantum Circuits and a Simple Quantum Algorithm - Peter Shor (MIT)

Quantum Computation 30 Quiz 1 - Peter Shor (MIT)

Quantum Computation 31 Quiz 1 Solutions - Peter Shor (MIT)

Quantum Computation 32 Quiz 2 - Peter Shor (MIT)

Quantum Computation 4 Applications of Grover\'s Search Algorithm - Peter Shor (MIT)

Quantum Computation 5 Quantum Computation Models - Peter Shor (MIT)

Quantum Computation 6 Cluster States - Peter Shor (MIT)

Quantum Computation 7 Quantum Error Correction - Peter Shor (MIT)

Quantum Computation 8 Guest Lecture by Isaac Chuang on Implementations of Quantum Computing: How to Build your Own Quantum Computer - Peter Shor (MIT)

Quantum Computation 9 Fault-Tolerant Quantum Computation - Peter Shor (MIT)

Quantum Field Theory and Geometry - Peter Woit (Columbia University)

Quantum Field Theory and Geometry - Peter Woit (Columbia University)

Recent Sea Level Rising of the East/Japan Sea with Possible Inhomogeneous Response to Climate Change - 강석구 (한국해양연구원)

Sea Surface Cooling in the Southern Area of the East Sea with the Passage of Typhoons - Chul-Hoon Hon, Ik-Sung Sohn (부경대학교 해양학과)

Sea surface cooling in the southern area of the East Sea with the passage of typhoons - 홍철훈 (부경대학교 해양생산시스템관리학부)

Stable Numerical Differentiation and Deconvolution - Alexander G. Ramm (KSU)

Stable operations in elliptic cohomology - Andrew Baker (University of Glasgow)

Statistics for Applications - Bayes Estimators, Conjugate Prior Distributions - Dmitry Panchenko (MIT)

Statistics for Applications - Classification Problem - Dmitry Panchenko (MIT)

Statistics for Applications - Confidence Intervals for Parameters of Normal Distribution - Dmitry Panchenko (MIT)

Statistics for Applications - Consistency of MLE, - Dmitry Panchenko (MIT)

Statistics for Applications - Efficient Estimators - Dmitry Panchenko (MIT)

Statistics for Applications - Estimates of Parameters of Normal Distribution - Dmitry Panchenko (MIT)

Statistics for Applications - Fisher and Student Distributions - Dmitry Panchenko (MIT)

Statistics for Applications - Gamma Distribution, Beta Distribution - Dmitry Panchenko (MIT)

Statistics for Applications - Goodness-of-Fit Test for Composite Hypotheses - Dmitry Panchenko (MIT)

Statistics for Applications - Goodness-of-Fit Test, Goodness-of-Fit Test for Continuous Distribution - Dmitry Panchenko (MIT)

Statistics for Applications - Introduction - Dmitry Panchenko (MIT)

Statistics for Applications - Joint Distribution of the Estimates - Dmitry Panchenko (MIT)

Statistics for Applications - Jointly Sufficient Statistics, Improving Estimators Using Sufficient Statistics, Rao-Blackwell Theorem - Dmitry Panchenko (MIT)

Statistics for Applications - Kolmogorov-Smirnov Test - Dmitry Panchenko (MIT)

Statistics for Applications - Maximum Likelihood Estimators - Dmitry Panchenko (MIT)

Statistics for Applications - Method of Moments - Dmitry Panchenko (MIT)

Statistics for Applications - Minimal Jointly Sufficient Statistics- χ^2 Distribution - Dmitry Panchenko (MIT)

Statistics for Applications - Monotone Likelihood Ratio, One Sided Hypotheses - Dmitry Panchenko (MIT)

Statistics for Applications - Most Powerful Test for Two Simple Hypotheses - Dmitry Panchenko (MIT)

Statistics for Applications - One Sided Hypotheses (cont.) - Dmitry Panchenko (MIT)

Statistics for Applications - Orthogonal Transformation of Standard Normal Sample - Dmitry Panchenko (MIT)

Statistics for Applications - Pearson''s Theorem - Dmitry Panchenko (MIT)

Statistics for Applications - Prior and Posterior Distributions - Dmitry Panchenko (MIT)

Statistics for Applications - Randomized Most Powerful Test, Composite Hypotheses. Uniformly Most Powerful Test - Dmitry Panchenko (MIT)

Statistics for Applications - Rao-Cramer Inequality - Dmitry Panchenko (MIT)

Statistics for Applications - Simple Linear Regression, Method of Least Squares, Simple Linear Regression - Dmitry Panchenko (MIT)

Statistics for Applications - Some Probability Distributions - Dmitry Panchenko (MIT)

Statistics for Applications - Statistical Inference in Simple Linear Regression - Dmitry Panchenko (MIT)

Statistics for Applications - Sufficient Statistic - Dmitry Panchenko (MIT)

Statistics for Applications - Test of Homogeneity - Dmitry Panchenko (MIT)

Statistics for Applications - Test of Independence - Dmitry Panchenko (MIT)

Statistics for Applications - Testing Hypotheses, Testing Simple Hypotheses, Bayes Decision Rules - Dmitry Panchenko (MIT)

The Age of Einstein - Frank W. K. Firk (Yale University)

The result of CTD observation in Drake Passage in November-December 2001 - 이재학, 강영철, 김영준 장성태 (한국해양연구원 해양기후.환경연구본부, 극지연구소, 남해연구소)

Theory of Numbers - Abelian Groops, Torsion Points and Finite Generation of Group of Torsion Points - Martin Olsson (MIT)

Theory of Numbers - Advanced Topics - Martin Olsson (MIT)

Theory of Numbers - Binomial Theorem and Congruences - Martin Olsson (MIT)

Theory of Numbers - Chinese Remainder Theorem - Martin Olsson (MIT)

Theory of Numbers - Congruences - Martin Olsson (MIT)

Theory of Numbers - Continued Fractions - Martin Olsson (MIT)

Theory of Numbers - Curves in Projective Space - Martin Olsson (MIT)

Theory of Numbers - Divisibility - Martin Olsson (MIT)

Theory of Numbers - Elliptic Curves - Martin Olsson (MIT)

Theory of Numbers - Greatest Common Divisor - Martin Olsson (MIT)

Theory of Numbers - Hensel's Lemma - Martin Olsson (MIT)

Theory of Numbers - Mazur's Theorem and Calculating the Torsion Subgroup - Martin Olsson (MIT)

Theory of Numbers - More Calculations - Martin Olsson (MIT)

Theory of Numbers - More on Continued Fractions - Martin Olsson (MIT)

Theory of Numbers - More on Continued Fractions (cont.) - Martin Olsson (MIT)

Theory of Numbers - More on Continued Fractions (cont.) - Martin Olsson (MIT)

Theory of Numbers - More on Continued Fractions (cont.) - Martin Olsson (MIT)

Theory of Numbers - More on Continued Fractions (cont.) - Martin Olsson (MIT)

Theory of Numbers - More on Continued Fractions (cont.) and Solving Equations - Martin Olsson (MIT)

Theory of Numbers - More on Curves in Projective Space and Statement of Falting's Theorem (Mordell Conjecture) - Martin Olsson (MIT)

Theory of Numbers - More on Elliptic Curves - Martin Olsson (MIT)

Theory of Numbers - More on Factorization - Martin Olsson (MIT)

Theory of Numbers - More on Greatest Common Divisor and Division Algorithm - Martin Olsson (MIT)

Theory of Numbers - More on Quadratic Reciprocity - Martin Olsson (MIT)

Theory of Numbers - More on Quadratic Residues - Martin Olsson (MIT)

Theory of Numbers - More on Quadratic Residues (cont.) - Martin Olsson (MIT)

Theory of Numbers - More on Solving Equations Modulo Primes - Martin Olsson (MIT)

Theory of Numbers - Prime Factorization and Binomial - Martin Olsson (MIT)

Theory of Numbers - Quadratic Reciprocity - Martin Olsson (MIT)

Theory of Numbers - Quadratic Residue Symbol - Martin Olsson (MIT)

Theory of Numbers - Residue Systems, Fermat's Little Theorem, Euler's Theorem, and Wilson's Theorem - Martin Olsson (MIT)

Theory of Numbers - RSA Cryptography - Martin Olsson (MIT)

Theory of Numbers - Singular Points and Smoothness - Martin Olsson (MIT)

Theory of Numbers - Solving Equations Modulo Primes - Martin Olsson (MIT)

Vibrio sp.에 존재하는 tet gene의 특성 분석 - 김영화, 김재훈, 박신후, 정현도 (부경대학교 수산생명의학과)

Waterfront 주거환경 만족도 연구 - 김가야, 윤상복, 김정호 (동의대학교 토목도시공학부)

Wavelets, Filter Banks and Applications - Accuracy of Wavelet Approximations (Condition A) - Gilbert Strang (MIT)

Wavelets, Filter Banks and Applications - Discrete-time Filters - Gilbert Strang (MIT)

Wavelets, Filter Banks and Applications - Filter Banks - Gilbert Strang (MIT)

Wavelets, Filter Banks and Applications - Filter Banks (contd.) - Gilbert Strang (MIT)

Wavelets, Filter Banks and Applications - Lifting - Gilbert Strang (MIT)

Wavelets, Filter Banks and Applications - M-band Wavelets - Gilbert Strang (MIT)

Wavelets, Filter Banks and Applications - Mallat Pyramid Algorithm Sec - Gilbert Strang (MIT)

Wavelets, Filter Banks and Applications - MATLAB Wavelet Toolbox - Gilbert Strang (MIT)

Wavelets, Filter Banks and Applications - Maxflat Filters - Gilbert Strang (MIT)

Wavelets, Filter Banks and Applications - Modulation and Polyphase Representations - Gilbert Strang (MIT)

Wavelets, Filter Banks and Applications - Multiresolution Analysis (MRA) - Gilbert Strang (MIT)

Wavelets, Filter Banks and Applications - Numerical Solution of PDEs - Gilbert Strang (MIT)

Wavelets, Filter Banks and Applications - Orthogonal Filter Banks - Gilbert Strang (MIT)

Wavelets, Filter Banks and Applications - Orthogonal Wavelet Bases - Gilbert Strang (MIT)

Wavelets, Filter Banks and Applications - Refinement Equation - Gilbert Strang (MIT)

Wavelets, Filter Banks and Applications - Sampling Rate Change Operations - Gilbert Strang (MIT)

Wavelets, Filter Banks and Applications - Signal and Image Processing - Gilbert Strang (MIT)

Wavelets, Filter Banks and Applications - Smoothness of Wavelet Bases - Gilbert Strang (MIT)

Wavelets, Filter Banks and Applications - Wavelets and Subdivision (contd.) - Gilbert Strang (MIT)

Wavelets, Filter Banks and Applications -Wavelets and Subdivision: Nonuniform Grids - Gilbert Strang (MIT)

가막만 양식장 주변해역 표층퇴적물중 유기물량 분포 특성 - 윤양호, 노일현 (여수대학교 대학원)

강진만 피조개 Scapharca broughtonii의 폐사에 따른 병리조직학적 변화 - 박경현, 이무근, 이영은, 하동수 (국립수산과학원 남해수산연구소, 남해수산종묘시험장)

국내외 선박/해양 분야 VR 현황과 Ship Navigation VR에 관한 기초 연구 - 이재환, 박병재 (충남대학교 선박해양공학과)

극한파의 통계적 특성에 대한 연구 - Hwang-Jin Ryu, Do Young Kim (홍익대학교 조선해양공학과)

기상요소 확률해석을 통한 영일만 수질변동 특성 연구 - 윤한삼, 이인철, 류청로 (부경대학교)

나일 틸라피아, Oreochromis niloticus의 IL-1 에 관한 연구 - 이대심, 류지효, 이현정, 정현도 (부경대학교 수산생명의학과)

넙치 유래의 Edwardsiella tarda에 대한 난황항체의 분리와 정제 - 김영대, 오명주, 정성주 (여수대학교 수산생명의학과)

넙치(Paralichthys olivaceus) 간으로부터 phosphatidylcoline을 가수분해하는 효소의 특성 - 이상환, 서정수, 정소정, 정준기 (부경대학교 수산생명의학과)

넙치에서 스쿠티카증을 일으키는 섬모충의 small subunit ribosomal RNA gene의 염기서열 분석과 Multiplex-PCR을 이용한 신속 종진단 - 김성미, 김기홍 (부경대학교 수산생명의학과)

대한해협을 통과하는 체적 수송량의 추정 및 경년 변동에 관한 연구 - 김영주 (큐슈대학교 총합이공학부)

동해 심층수 개발해역의 오염부하량 해석과 해황변동 - 이인철, 김경회, 윤한삼 ( 해양공학과)

부소파제 개발을 위한 계류라인의 장력응답 해석에 관한 연구 - 정동호, 김현주, 박한일 (해양연구원 해양개발시스템연구본부, 한국해양대학교 해양개발공학부)

사석제의 건설 공정설계를 위한 수리학적 특성에 관한 연구 - 김홍진, 류청로, 김헌태 ()

수로형 해역에서의 파랑전달에 미치는 영향인자 분석 - Gyong-Seong Lee, Han-Sam Yoon, Cheong-Ro Ryu, Jong-Hwa Park (부경대학교 해양공학과)

식물플랑크톤의 인(phosphorus) 공급원으로 중요한 alkaline phosphatase hydrolyzable phosphorus - 오석진, Tamiji Yamamoto, Yukihiko Matsuyaman, 윤양호, Shigeru Itakura, Satoshi Nagai, 양한섭 (히로시마 대학교, 여수대학교,부경대학교)

양식산 Turbot (Scophthalmus maximus)에서의 Iridovirus 바이러스 감염 - 김위식, 김기홍, 김춘섭, 김영진, 정성주, 정태성, 오명주 (여수대학교 수산생명의학과, 경상대학교 수의학과)

워터프론트 환경개선을 위한 WTP 분석 - 부산의 해수욕장을 중심으로 - - 김가야, 김정호 (동의대학교 토목도시공학부)

유류오염 포텐셜 해석을 통한 방제대책 수립방법에 관한 연구 - 부산항을 중심으로 - - 전용호, 류청로, 황창수 (부경대학교 해양공학과)

장기 ADCP 자료분석을 통한 제주해협 해류의변동특성 - 강재훈 (한국해양연구 해양기후.환경연구본부)

태풍 '매미'(2003. 9)에 수반된 해일현상 검조자료 분석 - 강용균 (부경대학교 해양학과)

하구밀도류와 바람장이 영일만 해수유동에 미치는 영향 - 윤한삼, 이인철, 류청로 (부경대학교 해양공학과)

해양부이형 해양심층수 개발시스템의 개념설계 - 김현주, 정동호 (한국해양연구원 해양심층수연구센터)

해양심층수 기능성소금 제조를 위한 분무건조기 설계 및 해석 - 김현주, 신필권, 박성제 (부경대학교 해양산업개발연구소, 국립수산과학원 해양연구과, 부경대학교 해양학과)

해양심층수 이용형 이동식 해상양식시스템 개발(I) - 김현주, 정동호, 최학선 (한국해양연구원 해양개발시스템연구본부)

해양심층수와 지하염수의 자원특성 비교분석 - 문덕수, 정동호, 김현주 (한국해양연구원 해양개발시스템연구본부)

해저면지진계 데이터 기록장치 개발 연구 - 홍섭, 김형우, 이종무, 최종수 (한국해양연구원 해양개발시스템연구본부)

Information Center for Mathematical Sciences KAIST

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한국과학기술원(KAIST) 수리과학정보센터

전화 042-350-8195~6 / 팩스 042-350-5722

e-mail : mathnet@mathnet.or.kr

Copyright (C) 2017. ICMS All Rights Reserved.

305-701 대전광역시 유성구 대학로 291 (구성동373-1)

한국과학기술원(KAIST) 수리과학정보센터

전화 042-350-8195~6 / 팩스 042-350-5722

e-mail : mathnet@mathnet.or.kr

Copyright (C) 2017. ICMS All Rights Reserved.