Thermal Conductivity of Electric Molding Composites Filled with β-si 3 N 4

Size: px
Start display at page:

Download "Thermal Conductivity of Electric Molding Composites Filled with β-si 3 N 4"

Transcription

1 22 Ê 6  ŠVol. 22, No à Journal of Inorganic Materials Nov., 2007 Ð ¹: X( β-si 3 N 4 / ¾Ú Đ Â ÉÓÅÖ ¼» 1, ³ º 1, µ² 2, ¹ 3 (1. ÅƱ ; ; 3. «« Û«º β-si 3N 4 ² ¼ SiO 2 Ý Ó ÑÕ ÛÄ Æ Í Áß Ò β-si 3N 4 SiO 2 Ó Ó ÛÄݱ µ «β-si 3N 4 Ù Ó ÛÄݱ Ø Ê Þ 50vol% β-si 3N 4 Ê Ó ÄÛ SiO 2 Ê Ó À 3.8 ºÈ ß Ó ÄÛ Õ ÏßÒ Ê Ó Ê Ó Agari ÄÛ Õµ Ò Ë «β-si 3N 4; Û Æ ÄÛ ± ¹«TB383 ÏÀ«A Thermal Conductivity of Electric Molding Composites Filled with β-si 3 N 4 ZHU Yuan 1, CHEN Ke-Xin 1, JIN Hai-Bo 2, FU Ren-Li 3 (1. State Key of New Ceramics and Fine Processing, Department of Materials Science & Engineering, Tsinghua University, Beijing , China; 2. Discipline of Materials Science & Engineering, Beijing Institute of Technology, Beijing , China; 3. Discipline of Materials Science & Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing , China Abstract: New electric molding composites were fabricated with hybridizing epoxy and β-si 3 N 4 instead of silica. The thermal conductivity of composites filled with β-si 3 N 4 was compared with that co-filled with β-si 3 N 4 and SiO 2. The results demonstrate that the thermal conductivity of the composite increases obviously with the increasing of β-si 3 N 4 content. Thermal conductivity of β-si 3 N 4 -filled composite is about 3.8 times as large as that of SiO 2 -filled one when the additional volume fraction achieves to 50%. Based on the experimental results, the discussion of calculating model for predicting thermal conductivity of composites shows that Agari model is more applicable to predict the thermal conductivities of β-si 3 N 4 filled and β-si 3 N 4 /SiO 2 co-filled composites. Furthermore, a common expression of Agari model for co-filled composites and its parameters are given. Key words: β-si 3 N 4 ; SiO 2 ; electric molding composite; thermal conductivity 1 Ý Æ» ±Í ÅÆ Å Æ Â Â½± ß³ Ë ÅÜ Å»ÏÌ ÆÌ ÑÅÁ ß ÏÅ ß³ Ë ß³Ñ Ü [1] Ü [2] ÌÇ , Ôµ ÌÇ Ä [3] Ôܺ [4] ÔÜ [5,6] Ü [6] [7] Ü Ï [8] ÔÜ Ï [9,10] ѼÓÏ / Ï [11] Þ» ÅÔÇ Ì ÑÑÏ Ò AlN BN Ñ Ú ÜÅß³ Ö± Ü» ß Al 2 O 3 Ñ SiO 2 ³ à  ( ß (1983, Ö Â Õ Ë Ã Ò Â kxchen@mail.tsinghua.edu.cn

2 1202  Š22 Ê ± ±» Ö Al 2 O 3 Ñ SiO 2 ÅÜ ¾ ³ Æ Û ±Í ÜÅß³ Å Ã β-si 3 N 4 Ó É 320W/m K ÅÜ [12], ÔÜ É AlN  ÆÀ Å»ÏÌ Ù Ü Á ßÑ Å ß ÆÛ Ü «ÔÅ ²³ º β-si 3 N 4 Å ³ β-si 3 N 4 Å Ó ÐÆ Ã» β-si 3 N 4 SiO 2 Þ Û Ô ÔÓÖÆ Ó Ë β-si 3 N 4 β-si 3 N 4 SiO 2 Ô Ë (ºÓ Ë Ô Ã Æ ÜÅß³Û Å ÅÜ Å»Ï ÑÉ Î ¾ ³ ¹ Ó Ë ÝIJ Ö ³»É Ë º Ó Ë ± Ì ³¹ Ä ³ Ñ É Ò Ä Maxwell Ñ Agari Û Ô Ü Å Ö Ó Ë Ô Ú» ß Û ¾» ºÓ Ë Ô ÅÜ Ö ÓÖÆ Å 2 ÎÙ ÅÃÑ ÆÒ» ¼ A Ö QSF Þ Þ ÙÝ 364, Ä ½ ß ÉÜ Ù Åà ŠÉÜ ÉÜ ÙÝ 182, Ð ½» β-si 3 N 4 ( ÆÛ Ñ SiO 2 ± ( Ä Ç. ß ³ 1. β-si 3 N 4 Ñ SiO 2 ± SEM ½Ë 1 2 Õ β-si 3 N 4 Â Ü Ñ± É ¾  SiO 2 Ê ¼Ù ± ÍÞ ±» Å Þ ÉÜ ÎÆ Ô ß ¹ Ý ÉÜ Ö ÃÅÈ φ12.5mm 1mm ½ÖÞ 1 ß ÒÄ Table 1 Properties of raw materials Raw material Epoxy Silica β-si 3N 4 Density/g cm Thermal conductivity 1 /W m 1 K β-si 3N 4 ÎØ Fig. 1 Micrograph of β-si 3N 4 powder 2 SiO 2 ÎØ Fig. 2 Micrograph of silica powder л Ï Ì ² Ï Þ Å Ï Þ ÅÜ ÀÇÓ (1 Û λ = 100 α ρ C p (1 ÓÒ λ ÅÜ (W/m K; α Å Ï (cm 2 /s; C p ÅÉ (J/g K; ρ (g/cm 3. ¾» ² Ý Ô ÅÜ ½Ü Å»Ï «ÅÉÐÝ Á Î ß C P = ÅÉ n ω i Cp i (2 i=1 Ò ω i «ÐÝ C i p «ÅÉ Ô A B Û«¹ Û É ± ¹ Ë 2 Õ A «Ó Ë β-si 3 N 4 Ô B «β-si 3 N 4 Ñ SiO 2 Ô Ë Ô ºÓ Ë Ô 3 ÎÙ º 3.1 ½ Ê 3 A «Ó Ë β-si 3 N 4 Ô ÅÜ β-si 3 N 4 ± ÍÌ Ò Ô ÅÜ β-si 3 N 4 Ë Ì

3 6 Þ «β-si 3N 4/ Ý Æ ÛÄݱ Á ³¼ ÍØÆ Table 2 Components of composites No. A B A1 A2 A3 A4 A5 B1 B2 B3 B4 B5 B6 Composition SiO /vol% β-si 3N ¾ 4 β-si 3 N 4 SiO 2 Đ Ò µ É Ò Ð Đ Ã Ú «Ý µé«(50vol% ¾ ² µé Ñ β-si 3 N 4 ĐË Ò Ð ĐÃÚ««Ë ¾ 4 Ñß ÏÎ µ É «Ì 50vol% β-si 3 N 4 Đ Ñ µ É Ò Ð Đ Ã Ú «Ñ µ É SiO 2 Đ 3.8 Ã Ú «Ø Đ ²Ç β-si 3 N 4 Đ ÃÚ«SiO 2, º ÁÛĐĐ β-si 3 N 4 ² È ½»Đ SiO 2 Đ Á Ø ² Đ Ò Á Á Ä Ã [16], Ò Ð Đ ÃÚ«3 Ò Ê β-si 3N 4 Ó ÄÛ β-si 3N 4 ƾ ËË Fig. 3 Thermal conductivities of β-si 3N 4-filled composites as a function of β-si 3N 4 volume fraction 4 Ó Ê Ó ÄÛ β-si 3N 4 ƾ ËË Fig. 4 Thermal conductivities of β-si 3N 4/SiO 2-filled composites as a function of β-si 3N 4 volume fraction 3.2 È ÁÐ Ê Ò ÐÃÚ«Ô ½«ÔĐ Maxwell Agari ÚÓ Ô ½ Ù ¹ ¾ºĐ Ð ÊÃÚ«Đ Maxwell ÁÐ [13] Maxwell ¹ (Potential theory Ú Þ Ç Ì Å Ö Đ Ñ ½ Ð Đ Ò Ð ÃÚ«ÆÑÅ [ λd + 2λ c + 2φ(λ d λ d ] λ e = λ c λ d + 2λ c φ(λ d λ c (3 ÑÑÅ λ e Ò ÐĐÃÚ«Æ λ c ÖĐ ĐÃ Ú «( ; λ d Ö Đ Đ Ã Ú «(µ Ð; φ ÖĐ Î ½ Agari ÁÐ [14,15] Agari Æ Ç Ò ÐÑ µ ÉÅ ½ ÅÄà ÚÅà Çà µ Ú (¹Ô Ú, ÃÚ«ÚÅ Ã Çà µ Ø Ô ( Ô Ú, Ã Ú «Ò Ð Đ Ã Ú «Í Ñ Ú Å Ñ lgλ c = Aφ + B (4 ( λd A = C f lg C p λ c (5 B = lg(c p λ c (6 ÑÑͳ e c d ½ Ô Ò Ð µð C f Ø µð ÄÃ Ç Đ ² 0 1 ² µðáè Äà C f Á 1. C p µç 1 ½ Ñ (4 Ï Î C f C p ¾ µð³ ÜĐ²Ú ÃÚ«Đ µ µðđ ½ Æ ÜÊÊ ÁÐ ÞÑ Maxwell Agari Ô Ø Ñ µé Ò Ð ÎĐ ßÎ ¹ β-si 3 N 4 Ñ µé Ò Ð Ã Ú «Æ (A Å Đ Ù ¹ Ü À ÒÇ Maxwell Ô Ý Ú ½ Ê ¾ 5 Ô Ò Ð Ã Ú «Đ Ý Ì β-si 3 N 4 µéü

4 1204  Š22 Ê Đ Ë Æ Ú Đ ² Ú Å ÕØ Maxwell Ô Ý β-si 3 N 4 µé«á Đ¼ Á Î Đ¼ Đ ² µ Ç Maxwell Ô µ É Đ Đ Å É Đ Ð À ³ Đ β-si 3 N 4 Ð ÁÛĐ Ð Æ [16], Ð (Ê Á Û Đ Ð Á È Ø Ä Ç º µ É «ÁÛĐ β-si 3 N 4 ÐÁ ÄÃ Ò ÐÃÚ«Đ ² Ò Ð ĐÃÚ«Maxwell Ô Maxwell ÔÆ µé Ø ÖĐĐ Ñ µé«50% Đ Ò ÐĐ ½ ¼ ² Ô Ù ¹ Ü ½ ¹ Agari Ô A Å Æ Ú½È Î Ã Ú«À Ò (µ¾ 6, ÐÝ A=2.22, B = ¾ (5 (6 ÚÑ Ð C p =1.13, C f =0.747, ÌÇ Agari ÔĐÒ ³ ² ¹ Agari Ô ½ Ñ µé Ò ÊĐ ÃÚ«²Ú Å Ñ µé β-si 3 N 4 Ò Ð Æ Đ Ò Ð Agari ÔÃÚ«Ñ Å logλ e = 2.22φ (7 Ñ λ e Ò ÐĐÃÚ«φ Ñ µ É Î ½ 3.3 Ü ²» È Þ Agari Ôµ¹Ý Ñ µé Ê Ð ÚÙ Đ Ù¹ Ñ µ É Ò Ð Ê Ã Ú «Đ Ú µ É Ò Ð Æ Agari Ô ¹Ô Ú Ñ Ô Å λ e = φ 1 λ d1 + φ 2 λ d2 + (1 φ 1 φ 2 λ c (8 Ñ φ 1, φ 2, λ d1, λ d2 ½ ÚÓµÉ Đ µé«ãú«ô Ú Ñ Ô Å 1 λ c = φ 1 λ d1 + φ 2 λ d2 + (1 φ 1 φ 2 λ c (9 (8 Ñ (9 Ñ» ÐÄ (10 ÑÅ λ n e = φ 1λ n d1 + φ 2λ n d2 + (1 φ 1 φ 2 λ n c (10 Ç (10 Ñ Ñ n=1 ¹ Ô Ú Ñ n = 1 Ô Ú Ñ Ì µ É Ä Ã Ç ² Ò ÐÃÈ ÉÚ µé Agari Ô Ô Å 5 β-si 3N 4 Ê Ó ÄÛ Maxwell Õ Fig. 5 Thermal conductivities of Maxwell model calculating and experiment results for β-si 3N 4-filled composites 6 Ò Ê β-si 3N 4 Ó ÄÛ Agari ÕµÓ Fig. 6 Linear fitting result with Agari model for thermal conductivity of β-si 3N 4-filled composites ( λe ( λd1 lg = φ 1 C f1 lg + C p λ c C p λ c ( λd2 φ 2 C f2 lg C p λ c (11 Ñ C f1, C f2 ½ Ú ÄÃ Ç Đ² C p Ò ÐĐÃÈ ( λd1 ( λd2 A 1 = C f1 lg, A 2 = C f2 lg, C p λ c C p λ c B = lg(c p λ c (12 É (11 Ñ ÐÄÅ lgλ e = A 1 φ 1 + A 2 φ 2 + B (13 Ç B Å Ñ φ 1 β-si 3 N 4 ½ φ 2 SiO 2 ½ É φ 1 + φ 2 =0.5. ² (13 Ñ Ú Å lgλ e = (A 1 A 2 φ 1 + (0.5A 2 + B (14

5 6 Þ «β-si 3N 4/ Ý Æ ÛÄݱ Á 1205 ¹ (14 Ñ B Å Ã Ú «Æ Ú Ò Ê ¾ 7 Ô Ñ A 1 A 2 =1.2623, 0.5A 2 +B= , Æ C p Ñ µé º É Æ (12 Ñ B 0.468, Ð A 2 = 1.07, C f2 = 0.662, A 1 = 2.287, C f1 =0.732, Ð Ç Ò Đ³ º C f1 Đ ¾ (5 Ñ Ð Đ C f C f Æ Ñ µé ÒÐ Ý Đ Ä Ã Ç Đ Ç Ñ µ É Ò Ð Ã Ú «Ç Ù ¹ Ü Ñ µé Ò ÐÐÝĐ C f Æ Ø² ÁÛĐ β-si 3 N 4 ÄÃ Đ Ò½ SiO 2 ½ ĐÒµÉ ÎÚÞ β-si 3 N 4 ÄÃ Đ¼ β-si 3 N 4 /SiO 2 ĐÒµÉ Ð Æ Đ Ò Ð Agari ÔÃÚ«Ñ Å lgλ e = 2.29φ φ (15 7 Ò Ê Ó Agari ÕµÓ Fig. 7 Linear fitting result with Agari model for thermal conductivity of co-filled composites 3.4 Agari ÁÐ ÏÎ Agari Ô µé«đ Ò ÐĐ ¹Ü½ ز Agari ÔØ Ó Þ ¹Ô ²Đ µ É Ü Ö ¾ ÑĐ Ü (, Õµ Ý Ñ µé Ê Agari ÔĐ ÙÜ ½ 4 1. β-si 3 N 4 Ø Ó Đ Ã Ú Ð Ð β-si 3 N 4 Ø Ò ÐĐÚÃÜ µé«ì 50% β-si 3 N 4 µé Ò Ð ĐÃÚ«Ø SiO 2 µéđ β-si 3 N 4 Ñ µ É Ò Ð Đ Ã Ú «Ò Agari Ô Maxwell Ô¾Ù¹ µ É ÃÚ«½ Đ Ò ÐĐÃÚ«3. Agari Ô ÚÙ ¹ Ñ µé Ò ÐĐÃÚ«¹ ÃÚ µé «Ð ÐĐ Ä Đ [1] Gonon P, Sylvestre A, Teysseyre J, Prior C. Journal of Materials Science: Materials in Electronics, 2001, 12: [2] Bujard P, Kuhnlein G, Ino S, et al. IEEE Trans. Components, Packaging, and Manu. Techno-part A, 1994, 17 (4: [3] Bajaj P, Jha N K, Kumar A. J. Appl. Polym. Sci., 1995, 56 (10: [4] Bujard P. Thermal conductivity of boron nitride filled epoxy resins: temperature dependence and influence of sample preparation. Inter Society Conference on Thermal Phenomena in the Fabrication and Operation of Electronic Components: I-THERM 88. New York, USA, [5] Xu Y S, Chung D D L, Mroz C. Composites, Part A: applied science and manufacturing, 2001, 32: [6] Li L, Chung D D L. Journal of Electronic Materials, 1994, 23 (6: [7] Lee W S, Han I Y, Jin Y, et al. Thermal characterization of thermally conductive underfill for a flip-chip package using novel temperature sensing technique. Proceedings of 6th Electronics Packaging Technology Conference, Piscataway, NJ, USA, [8] Bolt J D, Button D P, Yost B A. Mat. Sci. Eng. A, 1989, A109: [9] Æ ÕÐ Ø (WANG Yu-Di, et al. Ã«Đ (Journal of Inorganic Materials, 2000, 15 (6: [10] Æ ÕÐ Ø Ð 2001, 37: [11] Mclvor S D, Darby M I, Wostenholm G H, et al. J. Mat. Sci., 1990, 25: [12] Haggerty J S, Lightfoot A. Ceram. Eng. Sci. Proc., 1995, 16: 475. [13] Maxwell J C. A Treatise on Electricity and Magnetism. London, U. K.: Oxford Univ. Press, 1998, Ch9.1. [14] Agri Y, Uno T. J. Appl. Polym. Sci., 1986, 32: [15] Agri Y, Ueda A, Nagai S. J. Appl. Polym. Sci., 1993, 49: [16] ¹Í ĐÆ È - Þ²ÌÕ Å

An Example file... log.txt

An Example file... log.txt # ' ' Start of fie & %$ " 1 - : 5? ;., B - ( * * B - ( * * F I / 0. )- +, * ( ) 8 8 7 /. 6 )- +, 5 5 3 2( 7 7 +, 6 6 9( 3 5( ) 7-0 +, => - +< ( ) )- +, 7 / +, 5 9 (. 6 )- 0 * D>. C )- +, (A :, C 0 )- +,

More information

This document has been prepared by Sunder Kidambi with the blessings of

This document has been prepared by Sunder Kidambi with the blessings of Ö À Ö Ñ Ø Ò Ñ ÒØ Ñ Ý Ò Ñ À Ö Ñ Ò Ú º Ò Ì ÝÊ À Å Ú Ø Å Ê ý Ú ÒØ º ÝÊ Ú Ý Ê Ñ º Å º ² ºÅ ý ý ý ý Ö Ð º Ñ ÒÜ Æ Å Ò Ñ Ú «Ä À ý ý This document has been prepared by Sunder Kidambi with the blessings of Ö º

More information

â, Đ (Very Long Baseline Interferometry, VLBI)

â, Đ (Very Long Baseline Interferometry, VLBI) ½ 55 ½ 5 Í Vol.55 No.5 2014 9 ACTA ASTRONOMICA SINICA Sep., 2014» Á Çý è 1,2 1,2 å 1,2 Ü ô 1,2 ï 1,2 ï 1,2 à 1,3 Æ Ö 3 ý (1 Á Í 200030) (2 Á Í û À 210008) (3 541004) ÇÅè 1.5 GHz Á è, î Í, û ÓÆ Å ò ½Ò ¼ï.

More information

Surface Modification of Nano-Hydroxyapatite with Silane Agent

Surface Modification of Nano-Hydroxyapatite with Silane Agent ß 23 ß 1 «Ã Vol. 23, No. 1 2008 Ç 1 Journal of Inorganic Materials Jan., 2008» : 1000-324X(2008)01-0145-05 Þ¹ Ò À Đ³ Ù Å Ð (ÎÄÅ Ç ÂÍ ËÊÌÏÁÉ È ÃÆ 610064) Ì É (KH-560) ¼ ³ (n-ha) ³ ËØ ÌË n-ha KH-560 Õ Ì»Þ

More information

Pose Determination from a Single Image of a Single Parallelogram

Pose Determination from a Single Image of a Single Parallelogram Ê 32 Ê 5 ¾ Vol.32, No.5 2006 9 ACTA AUTOMATICA SINICA September, 2006 Û Ê 1) 1, 2 2 1 ( ÔÅ Æ 100041) 2 (Ñ Ò º 100037 ) (E-mail: fmsun@163.com) ¼ÈÙ Æ Ü Äµ ÕÑ ÅÆ ¼ÈÙ ÆÄ Ä Äº ¼ÈÙ ÆÄ Ü ÜÓ µ É» Ì É»²ÂÄÎ ¼ÐÅÄÕ

More information

! " # $! % & '! , ) ( + - (. ) ( ) * + / 0 1 2 3 0 / 4 5 / 6 0 ; 8 7 < = 7 > 8 7 8 9 : Œ Š ž P P h ˆ Š ˆ Œ ˆ Š ˆ Ž Ž Ý Ü Ý Ü Ý Ž Ý ê ç è ± ¹ ¼ ¹ ä ± ¹ w ç ¹ è ¼ è Œ ¹ ± ¹ è ¹ è ä ç w ¹ ã ¼ ¹ ä ¹ ¼ ¹ ±

More information

Ä D C Ã F D {f n } F,

Ä D C à F D {f n } F, 2016, 37A(2):233 242 DOI: 1016205/jcnkicama20160020 Í Æ ß È Õ Ä Ü È Ø Ó Đ * 1 2 3 Ð Ã µ½ ¹Ï ½» ÒÄà µ½ Í ÞÞ Ï Å ¹Ï µ½ MR (2010) Î 30D35, 30D45 Ð ÌÎ O17452 Ñ A ÛÁ 1000-8314(2016)02-0233-10 1 Ú Ö Ä D C Ã

More information

Price discount model for coordination of dual-channel supply chain under e-commerce

Price discount model for coordination of dual-channel supply chain under e-commerce ½ 27 ½ 3 2012 6 JOURNAL OF SYSTEMS ENGINEERING Vol.27 No.3 Jun. 2012 ô Î ÆÆ î º žâ, Ê ( ï Ä Ò, ï 400044) ý : ô íûđ Î, ë Ǒ à Stackelberg, ÅÍÅÆÆÎ î º. ÝÅ îææ ë,ǒ ÍÅÇ Î, ðë ëä.ǒ, ÇÅè ëë ÍÅ ÎÁ., Ä Ù Å Ç ÆÆ

More information

APPARENT AND PHYSICALLY BASED CONSTITUTIVE ANALYSES FOR HOT DEFORMATION OF AUSTENITE IN 35Mn2 STEEL

APPARENT AND PHYSICALLY BASED CONSTITUTIVE ANALYSES FOR HOT DEFORMATION OF AUSTENITE IN 35Mn2 STEEL 49 6 Vol49 No6 213 6 731 738 ACTA METALLURGICA SINICA Jun 213 pp731 738 º à 35Mn2 ³Í Ê Ü 1) ĐÛ 1,2) 1) Æ Ý 2) 1) ű± ± ±, 183 2) ű Û¼± ¼», 183 Ð Ê µ ¼ 3 Æ ² Ù, ÛÎ 35Mn2 Æ ²µÛ ºÐ Î Ç Đ ¹Ù ² ¾ ÜÜĐ ², Ù

More information

A Robust Adaptive Digital Audio Watermarking Scheme Against MP3 Compression

A Robust Adaptive Digital Audio Watermarking Scheme Against MP3 Compression ½ 33 ½ 3 Þ Vol. 33, No. 3 7 3 ACTA AUTOMATICA SINICA March, 7 è ¹ MP3 ß å 1, Ä 1 1 ý Â Åè ó ó ß Ì ß ñ1) Ä Ǒ ² ÂÔÅ þíò) û Ð (Discrete wavelet transform, DWT) Ð ßÙ (Discrete cosine transform, DCT) Í Í Å

More information

LA PRISE DE CALAIS. çoys, çoys, har - dis. çoys, dis. tons, mantz, tons, Gas. c est. à ce. C est à ce. coup, c est à ce

LA PRISE DE CALAIS. çoys, çoys, har - dis. çoys, dis. tons, mantz, tons, Gas. c est. à ce. C est à ce. coup, c est à ce > ƒ? @ Z [ \ _ ' µ `. l 1 2 3 z Æ Ñ 6 = Ð l sl (~131 1606) rn % & +, l r s s, r 7 nr ss r r s s s, r s, r! " # $ s s ( ) r * s, / 0 s, r 4 r r 9;: < 10 r mnz, rz, r ns, 1 s ; j;k ns, q r s { } ~ l r mnz,

More information

Ú Bruguieres, A. Virelizier, A. [4] Á «Î µà Monoidal

Ú Bruguieres, A. Virelizier, A. [4] Á «Î µà Monoidal 40 2 Æ Vol.40, No.2 2011 4 ADVANCES IN MATHEMATICS April, 2011 273165) T- ÆÖ Ñ Ó 1,, 2 (1. È Ä È 832003; 2. È Ä È Ì. ½ A- (coring) T- (comonad) ( ± A º ¼ T º (monad)).» ³¹ (firm) µ ³ Frobenius ² ¾ ³ ¾

More information

EXTRACT THE PLASTIC PROPERTIES OF METALS US- ING REVERSE ANALYSIS OF NANOINDENTATION TEST

EXTRACT THE PLASTIC PROPERTIES OF METALS US- ING REVERSE ANALYSIS OF NANOINDENTATION TEST 47 3 Vol.47 No.3 211 Ê 3 321 326 ACTA METALLURGICA SINICA Mar. 211 pp.321 326 ±Á Æ ½ Å³Æ ¹ 1 Î 1 ÏÍ 1 1 Ì 2 Ë 1 1 ¾ Þº, ¾ 324 2 ¾ ³» Í Þº, ¾ 324 Æ ± Ó Ó ÆÏÞØ,  ¼ ± È Á ÅÛ ÖÝÛ, Ó Ó Ï ¼ ±. º Ì Ï, Á ÅÛ ÖÝÛ

More information

Application of ICA and PCA to extracting structure from stock return

Application of ICA and PCA to extracting structure from stock return 2014 3 Å 28 1 Ð Mar. 2014 Communication on Applied Mathematics and Computation Vol.28 No.1 DOI 10.3969/j.issn.1006-6330.2014.01.012 Ç ÖÇ Ú ¾Ä Î Þ Ý ( 200433) Ç È ß ³ Õº º ÅÂÞÐÆÈÛ CAC40 Õ Û ËÛ ¾ ÆÄ (ICA)

More information

General Neoclassical Closure Theory: Diagonalizing the Drift Kinetic Operator

General Neoclassical Closure Theory: Diagonalizing the Drift Kinetic Operator General Neoclassical Closure Theory: Diagonalizing the Drift Kinetic Operator E. D. Held eheld@cc.usu.edu Utah State University General Neoclassical Closure Theory:Diagonalizing the Drift Kinetic Operator

More information

Planning for Reactive Behaviors in Hide and Seek

Planning for Reactive Behaviors in Hide and Seek University of Pennsylvania ScholarlyCommons Center for Human Modeling and Simulation Department of Computer & Information Science May 1995 Planning for Reactive Behaviors in Hide and Seek Michael B. Moore

More information

ÇÙÐ Ò ½º ÅÙÐ ÔÐ ÔÓÐÝÐÓ Ö Ñ Ò Ú Ö Ð Ú Ö Ð ¾º Ä Ò Ö Ö Ù Ð Ý Ó ËÝÑ ÒÞ ÔÓÐÝÒÓÑ Ð º Ì ÛÓ¹ÐÓÓÔ ÙÒÖ Ö Ô Û Ö Ö ÖÝ Ñ ¹ ÝÓÒ ÑÙÐ ÔÐ ÔÓÐÝÐÓ Ö Ñ

ÇÙÐ Ò ½º ÅÙÐ ÔÐ ÔÓÐÝÐÓ Ö Ñ Ò Ú Ö Ð Ú Ö Ð ¾º Ä Ò Ö Ö Ù Ð Ý Ó ËÝÑ ÒÞ ÔÓÐÝÒÓÑ Ð º Ì ÛÓ¹ÐÓÓÔ ÙÒÖ Ö Ô Û Ö Ö ÖÝ Ñ ¹ ÝÓÒ ÑÙÐ ÔÐ ÔÓÐÝÐÓ Ö Ñ ÅÙÐ ÔÐ ÔÓÐÝÐÓ Ö Ñ Ò ÝÒÑ Ò Ò Ö Ð Ö Ò Ó Ò Ö ÀÍ ÖÐ Òµ Ó Ò ÛÓÖ Û Ö Ò ÖÓÛÒ Ö Ú ½ ¼¾º ¾½ Û Åº Ä Ö Ö Ú ½ ¼¾º ¼¼ Û Äº Ñ Ò Ëº Ï ÒÞ ÖÐ Å ÒÞ ½ º¼ º¾¼½ ÇÙÐ Ò ½º ÅÙÐ ÔÐ ÔÓÐÝÐÓ Ö Ñ Ò Ú Ö Ð Ú Ö Ð ¾º Ä Ò Ö Ö Ù Ð Ý Ó ËÝÑ

More information

Framework for functional tree simulation applied to 'golden delicious' apple trees

Framework for functional tree simulation applied to 'golden delicious' apple trees Purdue University Purdue e-pubs Open Access Theses Theses and Dissertations Spring 2015 Framework for functional tree simulation applied to 'golden delicious' apple trees Marek Fiser Purdue University

More information

2013 SIMULIA Regional User Meeting

2013 SIMULIA Regional User Meeting press fit EON PCB Ò,, jg² ŸÄy ï o uþi Á eîî³ ì e γ n Ôhê x PCB w mø THT(Through Hole Technology* Æï SMT(Surface Mount Technology* Press Fit } Ê ³ Ç } Ù ROHS Ì û ke n³ û m «Ä í } EON ³ ê ³ ì ì Š EON Ù

More information

ADVANCES IN MATHEMATICS(CHINA)

ADVANCES IN MATHEMATICS(CHINA) Æ Ý ¹ ADVANCES IN MATHEMATICS(CHINA) 0 median Đ Ó ( ºÕ ³,, ÓÚ, 330013) doi: 10.11845/sxjz.2012080b : u,v ¹ w G, z ÁÇÉ Ë½ ±, È z À u,v ¹ w Ä median. G À²Ï median, G Î Å Ì ÆÄ median. à ²Ï median µ» ÂÍ, ¾

More information

PART IV LIVESTOCK, POULTRY AND FISH PRODUCTION

PART IV LIVESTOCK, POULTRY AND FISH PRODUCTION ! " $#%(' ) PART IV LIVSTOCK, POULTRY AND FISH PRODUCTION Table (93) MAIN GROUPS OF ANIMAL PRODUCTS Production 1000 M.T Numbers 1000 Head Type 2012 Numbers Cattle 54164.5 53434.6 Buffaloes 4304.51 4292.51

More information

OC330C. Wiring Diagram. Recommended PKH- P35 / P50 GALH PKA- RP35 / RP50. Remarks (Drawing No.) No. Parts No. Parts Name Specifications

OC330C. Wiring Diagram. Recommended PKH- P35 / P50 GALH PKA- RP35 / RP50. Remarks (Drawing No.) No. Parts No. Parts Name Specifications G G " # $ % & " ' ( ) $ * " # $ % & " ( + ) $ * " # C % " ' ( ) $ * C " # C % " ( + ) $ * C D ; E @ F @ 9 = H I J ; @ = : @ A > B ; : K 9 L 9 M N O D K P D N O Q P D R S > T ; U V > = : W X Y J > E ; Z

More information

UNIQUE FJORDS AND THE ROYAL CAPITALS UNIQUE FJORDS & THE NORTH CAPE & UNIQUE NORTHERN CAPITALS

UNIQUE FJORDS AND THE ROYAL CAPITALS UNIQUE FJORDS & THE NORTH CAPE & UNIQUE NORTHERN CAPITALS Q J j,. Y j, q.. Q J & j,. & x x. Q x q. ø. 2019 :. q - j Q J & 11 Y j,.. j,, q j q. : 10 x. 3 x - 1..,,. 1-10 ( ). / 2-10. : 02-06.19-12.06.19 23.06.19-03.07.19 30.06.19-10.07.19 07.07.19-17.07.19 14.07.19-24.07.19

More information

The University of Bath School of Management is one of the oldest established management schools in Britain. It enjoys an international reputation for

The University of Bath School of Management is one of the oldest established management schools in Britain. It enjoys an international reputation for The University of Bath School of Management is one of the oldest established management schools in Britain. It enjoys an international reputation for the quality of its teaching and research. Its mission

More information

An Introduction to Optimal Control Applied to Disease Models

An Introduction to Optimal Control Applied to Disease Models An Introduction to Optimal Control Applied to Disease Models Suzanne Lenhart University of Tennessee, Knoxville Departments of Mathematics Lecture1 p.1/37 Example Number of cancer cells at time (exponential

More information

F O R SOCI AL WORK RESE ARCH

F O R SOCI AL WORK RESE ARCH 7 TH EUROPE AN CONFERENCE F O R SOCI AL WORK RESE ARCH C h a l l e n g e s i n s o c i a l w o r k r e s e a r c h c o n f l i c t s, b a r r i e r s a n d p o s s i b i l i t i e s i n r e l a t i o n

More information

A Double-objective Rank Level Classifier Fusion Method

A Double-objective Rank Level Classifier Fusion Method ½ 33 ½ 2 Þ Vol. 33, No. 2 2007 2 ACTA AUTOMATICA SINICA December, 2007 è Î Á Ë Ãàß Ñ ý Melnik  Åè Ë Ã, ÃÄ É Æ, Õ Ë Â è²². ð Melnik  Ãàß, á Ç ÇĐ, Ç î µá»â Ã. Melnik Ù,  Åè Ãàß, Ìàß Ë ÆÆ, ÍÅ» Ý Melnik

More information

Max. Input Power (W) Input Current (Arms) Dimming. Enclosure

Max. Input Power (W) Input Current (Arms) Dimming. Enclosure Product Overview XI025100V036NM1M Input Voltage (Vac) Output Power (W) Output Voltage Range (V) Output urrent (A) Efficiency@ Max Load and 70 ase Max ase Temp. ( ) Input urrent (Arms) Max. Input Power

More information

u x + u y = x u . u(x, 0) = e x2 The characteristics satisfy dx dt = 1, dy dt = 1

u x + u y = x u . u(x, 0) = e x2 The characteristics satisfy dx dt = 1, dy dt = 1 Õ 83-25 Þ ÛÐ Þ Ð ÚÔÜØ Þ ÝÒ Þ Ô ÜÞØ ¹ 3 Ñ Ð ÜÞ u x + u y = x u u(x, 0) = e x2 ÝÒ Þ Ü ÞØ º½ dt =, dt = x = t + c, y = t + c 2 We can choose c to be zero without loss of generality Note that each characteristic

More information

Singing voice enhancement for monaural music recordings with a cascade two-stage algorithm

Singing voice enhancement for monaural music recordings with a cascade two-stage algorithm 2018 Ñ 9 Ð Ô 32 Ô 3 Ý Sept. 2018 Communication on Applied Mathematics and Computation Vol.32 No.3 DOI 10.3969/j.issn.1006-6330.2018.03.007 ÂßÑÀ¹ÏÇ ²Å ( 200444) É Ë³Ó²±ĐÀΠе±Ü»Ð À Đ Ñ Ö ÓÛ ¼Ú Í Ð ß ÐÁ

More information

Stochastic invariances and Lamperti transformations for Stochastic Processes

Stochastic invariances and Lamperti transformations for Stochastic Processes Stochastic invariances and Lamperti transformations for Stochastic Processes Pierre Borgnat, Pierre-Olivier Amblard, Patrick Flandrin To cite this version: Pierre Borgnat, Pierre-Olivier Amblard, Patrick

More information

" #$ P UTS W U X [ZY \ Z _ `a \ dfe ih j mlk n p q sr t u s q e ps s t x q s y i_z { U U z W } y ~ y x t i e l US T { d ƒ ƒ ƒ j s q e uˆ ps i ˆ p q y

 #$ P UTS W U X [ZY \ Z _ `a \ dfe ih j mlk n p q sr t u s q e ps s t x q s y i_z { U U z W } y ~ y x t i e l US T { d ƒ ƒ ƒ j s q e uˆ ps i ˆ p q y " #$ +. 0. + 4 6 4 : + 4 ; 6 4 < = =@ = = =@ = =@ " #$ P UTS W U X [ZY \ Z _ `a \ dfe ih j mlk n p q sr t u s q e ps s t x q s y i_z { U U z W } y ~ y x t i e l US T { d ƒ ƒ ƒ j s q e uˆ ps i ˆ p q y h

More information

ETIKA V PROFESII PSYCHOLÓGA

ETIKA V PROFESII PSYCHOLÓGA P r a ž s k á v y s o k á š k o l a p s y c h o s o c i á l n í c h s t u d i í ETIKA V PROFESII PSYCHOLÓGA N a t á l i a S l o b o d n í k o v á v e d ú c i p r á c e : P h D r. M a r t i n S t r o u

More information

Relation Between the Growth Twin and the Morphology of a Czochralski Silicon Single Crystal

Relation Between the Growth Twin and the Morphology of a Czochralski Silicon Single Crystal Korean J. Crystallography Vol. 11, No. 4, pp.207~211, 2000 LG, Relation Between the Growth Twin and the Morphology of a Czochralski Silicon Single Crystal Bong Mo Park LG Siltron Inc., 283, Imsoo-dong,

More information

Examination paper for TFY4240 Electromagnetic theory

Examination paper for TFY4240 Electromagnetic theory Department of Physics Examination paper for TFY4240 Electromagnetic theory Academic contact during examination: Associate Professor John Ove Fjærestad Phone: 97 94 00 36 Examination date: 16 December 2015

More information

Vectors. Teaching Learning Point. Ç, where OP. l m n

Vectors. Teaching Learning Point. Ç, where OP. l m n Vectors 9 Teaching Learning Point l A quantity that has magnitude as well as direction is called is called a vector. l A directed line segment represents a vector and is denoted y AB Å or a Æ. l Position

More information

ACS AKK R0125 REV B 3AKK R0125 REV B 3AKK R0125 REV C KR Effective : Asea Brown Boveri Ltd.

ACS AKK R0125 REV B 3AKK R0125 REV B 3AKK R0125 REV C KR Effective : Asea Brown Boveri Ltd. ACS 100 Í ACS 100 Í 3AKK R0125 REV B 3AKK R0125 REV B 3AKK R0125 REV C KR Effective : 1999.9 1999 Asea Brown Boveri Ltd. 2 ! ACS100 { { ä ~.! ACS100 i{ ~. Õ 5 ˆ Ã ACS100 À Ãåä.! ˆ [ U1, V1, W1(L,N), U2,

More information

New method for solving nonlinear sum of ratios problem based on simplicial bisection

New method for solving nonlinear sum of ratios problem based on simplicial bisection V Ù â ð f 33 3 Vol33, No3 2013 3 Systems Engineering Theory & Practice Mar, 2013 : 1000-6788(2013)03-0742-06 : O2112!"#$%&')(*)+),-))/0)1)23)45 : A 687:9 1, ;:= 2 (1?@ACBEDCFHCFEIJKLCFFM, NCO 453007;

More information

I118 Graphs and Automata

I118 Graphs and Automata I8 Graphs and Automata Takako Nemoto http://www.jaist.ac.jp/ t-nemoto/teaching/203--.html April 23 0. Û. Û ÒÈÓ 2. Ø ÈÌ (a) ÏÛ Í (b) Ø Ó Ë (c) ÒÑ ÈÌ (d) ÒÌ (e) É Ö ÈÌ 3. ÈÌ (a) Î ÎÖ Í (b) ÒÌ . Û Ñ ÐÒ f

More information

PH Nuclear Physics Laboratory Gamma spectroscopy (NP3)

PH Nuclear Physics Laboratory Gamma spectroscopy (NP3) Physics Department Royal Holloway University of London PH2510 - Nuclear Physics Laboratory Gamma spectroscopy (NP3) 1 Objectives The aim of this experiment is to demonstrate how γ-ray energy spectra may

More information

A Language for Task Orchestration and its Semantic Properties

A Language for Task Orchestration and its Semantic Properties DEPARTMENT OF COMPUTER SCIENCES A Language for Task Orchestration and its Semantic Properties David Kitchin, William Cook and Jayadev Misra Department of Computer Science University of Texas at Austin

More information

Optimal Control of PDEs

Optimal Control of PDEs Optimal Control of PDEs Suzanne Lenhart University of Tennessee, Knoville Department of Mathematics Lecture1 p.1/36 Outline 1. Idea of diffusion PDE 2. Motivating Eample 3. Big picture of optimal control

More information

Some emission processes are intrinsically polarised e.g. synchrotron radiation.

Some emission processes are intrinsically polarised e.g. synchrotron radiation. Polarisation Some emission processes are intrinsically polarised e.g. synchrotron radiation. B e linearly polarised emission circularly polarised emission Scattering processes can either increase or decrease

More information

$%! & (, -3 / 0 4, 5 6/ 6 +7, 6 8 9/ 5 :/ 5 A BDC EF G H I EJ KL N G H I. ] ^ _ ` _ ^ a b=c o e f p a q i h f i a j k e i l _ ^ m=c n ^

$%! & (, -3 / 0 4, 5 6/ 6 +7, 6 8 9/ 5 :/ 5 A BDC EF G H I EJ KL N G H I. ] ^ _ ` _ ^ a b=c o e f p a q i h f i a j k e i l _ ^ m=c n ^ ! #" $%! & ' ( ) ) (, -. / ( 0 1#2 ' ( ) ) (, -3 / 0 4, 5 6/ 6 7, 6 8 9/ 5 :/ 5 ;=? @ A BDC EF G H I EJ KL M @C N G H I OPQ ;=R F L EI E G H A S T U S V@C N G H IDW G Q G XYU Z A [ H R C \ G ] ^ _ `

More information

Radu Alexandru GHERGHESCU, Dorin POENARU and Walter GREINER

Radu Alexandru GHERGHESCU, Dorin POENARU and Walter GREINER È Ö Ò Ò Ù Ò Ò Ò ÖÝ ÒÙÐ Ö Ý Ø Ñ Radu Alexandru GHERGHESCU, Dorin POENARU and Walter GREINER Radu.Gherghescu@nipne.ro IFIN-HH, Bucharest-Magurele, Romania and Frankfurt Institute for Advanced Studies, J

More information

The Effect of Temperature and Space Velocity on the Performance of Plate Reformer for Molten Carbonate Fuel Cell

The Effect of Temperature and Space Velocity on the Performance of Plate Reformer for Molten Carbonate Fuel Cell HWAHAK KONGHAK Vol. 38, No. 5, October, 2000, pp. 719-724 (Journal of the Korean Institute of Chemical Engineers) (1999 5 31, 2000 8 1 ) The Effect of Temperature and Space Velocity on the Performance

More information

Juan Juan Salon. EH National Bank. Sandwich Shop Nail Design. OSKA Beverly. Chase Bank. Marina Rinaldi. Orogold. Mariposa.

Juan Juan Salon. EH National Bank. Sandwich Shop Nail Design. OSKA Beverly. Chase Bank. Marina Rinaldi. Orogold. Mariposa. ( ) X é X é Q Ó / 8 ( ) Q / ( ) ( ) : ( ) : 44-3-8999 433 4 z 78-19 941, #115 Z 385-194 77-51 76-51 74-7777, 75-5 47-55 74-8141 74-5115 78-3344 73-3 14 81-4 86-784 78-33 551-888 j 48-4 61-35 z/ zz / 138

More information

Front-end. Organization of a Modern Compiler. Middle1. Middle2. Back-end. converted to control flow) Representation

Front-end. Organization of a Modern Compiler. Middle1. Middle2. Back-end. converted to control flow) Representation register allocation instruction selection Code Low-level intermediate Representation Back-end Assembly array references converted into low level operations, loops converted to control flow Middle2 Low-level

More information

h : sh +i F J a n W i m +i F D eh, 1 ; 5 i A cl m i n i sh» si N «q a : 1? ek ser P t r \. e a & im a n alaa p ( M Scanned by CamScanner

h : sh +i F J a n W i m +i F D eh, 1 ; 5 i A cl m i n i sh» si N «q a : 1? ek ser P t r \. e a & im a n alaa p ( M Scanned by CamScanner m m i s t r * j i ega>x I Bi 5 n ì r s w «s m I L nk r n A F o n n l 5 o 5 i n l D eh 1 ; 5 i A cl m i n i sh» si N «q a : 1? { D v i H R o s c q \ l o o m ( t 9 8 6) im a n alaa p ( M n h k Em l A ma

More information

Estimation of Retention Factors of Nucleotides by Buffer Concentrations in RP-HPLC

Estimation of Retention Factors of Nucleotides by Buffer Concentrations in RP-HPLC HWAHAK KONGHAK Vol. 38, No. 5, October, 2000, pp. 626-632 (Journal of the Korean Institute of Chemical Engineers) RP-HPLC Nucleotides (2000 2 1, 2000 4 1 ) Estimation of Retention Factors of Nucleotides

More information

2016 xó ADVANCES IN MATHEMATICS(CHINA) xxx., 2016

2016 xó ADVANCES IN MATHEMATICS(CHINA) xxx., 2016 µ45 µx ½ Ù Vol.45, No.x 206 xó ADVANCES IN MATHEMATICS(CHINA) xxx., 206 doi: 0.845/sxjz.2050b ²Â» µ ¼ Ulam È ( Ų¼ Ò¼ Ã,,, 747000) : ÉÐ Ì Õ ÎÏÓ, ÊÔ Í - Í Ë 6f(x+y) 6f(x y)+4f(3y) = 3f(x+2y) 3f(x 2y)+9f(2y)

More information

Lund Institute of Technology Centre for Mathematical Sciences Mathematical Statistics

Lund Institute of Technology Centre for Mathematical Sciences Mathematical Statistics Lund Institute of Technology Centre for Mathematical Sciences Mathematical Statistics STATISTICAL METHODS FOR SAFETY ANALYSIS FMS065 ÓÑÔÙØ Ö Ü Ö Ì ÓÓØ ØÖ Ô Ð ÓÖ Ø Ñ Ò Ý Ò Ò ÐÝ In this exercise we will

More information

Glasgow eprints Service

Glasgow eprints Service Kalna, K. and Asenov, A. (1) Multiple delta doping in aggressively scaled PHEMTs. In, Ryssel, H. and Wachutka, G. and Grunbacher, H., Eds. Solid-State Device Research Conference, 11-13 September 1, pages

More information

Loop parallelization using compiler analysis

Loop parallelization using compiler analysis Loop parallelization using compiler analysis Which of these loops is parallel? How can we determine this automatically using compiler analysis? Organization of a Modern Compiler Source Program Front-end

More information

Periodic monopoles and difference modules

Periodic monopoles and difference modules Periodic monopoles and difference modules Takuro Mochizuki RIMS, Kyoto University 2018 February Introduction In complex geometry it is interesting to obtain a correspondence between objects in differential

More information

Research of Application the Virtual Reality Technology in Chemistry Education

Research of Application the Virtual Reality Technology in Chemistry Education Journal of the Korean Chemical Society Printed in the Republic of Korea * (2002. 8. 29 ) Research of Application the Virtual Reality Technology in Chemistry Education Jong Seok Park*, Kew Cheol Shim, Hyun

More information

TELEMATICS LINK LEADS

TELEMATICS LINK LEADS EEAICS I EADS UI CD PHOE VOICE AV PREIU I EADS REQ E E A + A + I A + I E B + E + I B + E + I B + E + H B + I D + UI CD PHOE VOICE AV PREIU I EADS REQ D + D + D + I C + C + C + C + I G G + I G + I G + H

More information

Sample Exam 1: Chapters 1, 2, and 3

Sample Exam 1: Chapters 1, 2, and 3 L L 1 ' ] ^, % ' ) 3 Sample Exam 1: Chapters 1, 2, and 3 #1) Consider the lineartime invariant system represented by Find the system response and its zerostate and zeroinput components What are the response

More information

A Study on the Analysis of Measurement Errors of Specific Gravity Meter

A Study on the Analysis of Measurement Errors of Specific Gravity Meter HWAHAK KONGHAK Vol. 40, No. 6, December, 2002, pp. 676-680 (2001 7 2, 2002 8 5 ) A Study on the Analysis of Measurement Errors of Specific Gravity Meter Kang-Jin Lee, Jae-Young Her, Young-Cheol Ha, Seung-Hee

More information

Affine-invariant Shape Recognition Using Grassmann Manifold

Affine-invariant Shape Recognition Using Grassmann Manifold ½ 38 ½ 2 Þ Vol. 38, No. 2 2012 2 ACTA AUTOMATICA SINICA February, 2012 Ù Grassmann» å» Ç 1, 2, 3, 4 Ó¾å 5 Ä ý Kendall» èñò ó Ù Õ, ää ÁÙµ» ì»î Ì å ǑÜ. Ù Grassmann»Ò, Åå» èñ ê,  Š٠Grassmann» å» Ç ß. ß

More information

QUESTIONS ON QUARKONIUM PRODUCTION IN NUCLEAR COLLISIONS

QUESTIONS ON QUARKONIUM PRODUCTION IN NUCLEAR COLLISIONS International Workshop Quarkonium Working Group QUESTIONS ON QUARKONIUM PRODUCTION IN NUCLEAR COLLISIONS ALBERTO POLLERI TU München and ECT* Trento CERN - November 2002 Outline What do we know for sure?

More information

Œ æ fl : } ~fiæ fl ŒÊ Æ Ã%æ fl È

Œ æ fl : } ~fiæ fl ŒÊ Æ Ã%æ fl È Roll No. Serial No. of Q. C. A. B. Jlflo Æ ÀÊ-V MSÊ : 54 ] [ Jlflo» flfl } Æ lv MSÊ : 24 Total No. of Questions : 54 ] [ Total No. of Printed Pages : 24 MOÊfi} MSÊ : 65-P Œ æ fl : } ~fiæ fl ŒÊ Æ Ã%æ fl

More information

Pharmacological and genomic profiling identifies NF-κB targeted treatment strategies for mantle cell lymphoma

Pharmacological and genomic profiling identifies NF-κB targeted treatment strategies for mantle cell lymphoma CORRECTION NOTICE Nat. Med. 0, 87 9 (014) Pharmacoogica and genomic profiing identifies NF-κB targeted treatment strategies for mante ce ymphoma Rami Raha, Mareie Fric, Rodrigo Romero, Joshua M Korn, Robert

More information

Radiative Electroweak Symmetry Breaking with Neutrino Effects in Supersymmetric SO(10) Unifications

Radiative Electroweak Symmetry Breaking with Neutrino Effects in Supersymmetric SO(10) Unifications KEKPH06 p.1/17 Radiative Electroweak Symmetry Breaking with Neutrino Effects in Supersymmetric SO(10) Unifications Kentaro Kojima Based on the work with Kenzo Inoue and Koichi Yoshioka (Department of Physics,

More information

Applications of Discrete Mathematics to the Analysis of Algorithms

Applications of Discrete Mathematics to the Analysis of Algorithms Applications of Discrete Mathematics to the Analysis of Algorithms Conrado Martínez Univ. Politècnica de Catalunya, Spain May 2007 Goal Given some algorithm taking inputs from some set Á, we would like

More information

Lecture 16: Modern Classification (I) - Separating Hyperplanes

Lecture 16: Modern Classification (I) - Separating Hyperplanes Lecture 16: Modern Classification (I) - Separating Hyperplanes Outline 1 2 Separating Hyperplane Binary SVM for Separable Case Bayes Rule for Binary Problems Consider the simplest case: two classes are

More information

Testing SUSY Dark Matter

Testing SUSY Dark Matter Testing SUSY Dark Matter Wi de Boer, Markus Horn, Christian Sander Institut für Experientelle Kernphysik Universität Karlsruhe Wi.de.Boer@cern.ch http://hoe.cern.ch/ deboerw SPACE Part Elba, May 7, CMSSM

More information

SCOTT PLUMMER ASHTON ANTONETTI

SCOTT PLUMMER ASHTON ANTONETTI 2742 A E E E, UE, AAAMA 3802 231 EE AEA 38,000-cre dversfed federl cmus 41,000 emloyees wth 72+ dfferent gences UE roosed 80-cre mster-lnned develoment 20 home stes 3,000F of vllgestyle retl 100,000 E

More information

In Vivo Study of Porous Calcium Silicate Bioceramic in Extra-osseous Sites

In Vivo Study of Porous Calcium Silicate Bioceramic in Extra-osseous Sites 23 À 3 Ó Ö Vol. 23, No. 3 2008 5 Journal of Inorganic Materials May, 2008 ÍÒ : 1000-324X(2008)03-0611-06 ¼ Ä ÎÅ Ç Õ º 1, ± 1, 2, ² 1, 1, 2, 1, 3 (1. Ý ÜÆ ß «Û 710032; 2. Ð Æ Å «200050; 3. ÞĐÜÆ Æ «201620)

More information

Lower Austria. The Big Travel Map. Big Travel Map of Lower Austria.

Lower Austria. The Big Travel Map. Big Travel Map of Lower Austria. v v v :,000, v v v v, v j, Z ö V v! ö +4/4/000 000 @ : / : v v V, V,,000 v v v v v v 08 V, v j?, v V v v v v v v,000, V v V, v V V vv /Z, v / v,, v v V, v x 6,000 v v 00,000 v, x v U v ( ) j v, x q J J

More information

Emphases of Calculus Infinite Sequences and Series Page 1. , then {a n } converges. lim a n = L. form í8 v «à L Hôpital Rule JjZ lim

Emphases of Calculus Infinite Sequences and Series Page 1. , then {a n } converges. lim a n = L. form í8 v «à L Hôpital Rule JjZ lim Emhases o Calculus Ininite Sequences an Series Page 1 Sequences (b) lim = L eists rovie that or any given ε > 0, there eists N N such that L < ε or all n > N ¹, YgM L íï böüÿªjöü, Éb n D bygíí I an { }

More information

Constructive Decision Theory

Constructive Decision Theory Constructive Decision Theory Joe Halpern Cornell University Joint work with Larry Blume and David Easley Economics Cornell Constructive Decision Theory p. 1/2 Savage s Approach Savage s approach to decision

More information

õ Î î Ç Phase Detector Â

õ Î î Ç Phase Detector  õ Î î Ç Phase Detector Â Ì ç í 1, Â Ä 2, Ö ì µ 1 1 ¼ ë Ð ³ ü â Ä» Í ø Ð ú, 2 Ñ ¹ ü Ú ë Å ø í Ó º À T E L : ( O 2 ) 3 6 1-8 7 4, E - m a l : p a¹ tn ihmrmnm a @ sä egm rnm Ynm½u iï cä owm rnmiḑ4 y OÌm rnm1s

More information

hal , version 1-27 Mar 2014

hal , version 1-27 Mar 2014 Author manuscript, published in "2nd Multidisciplinary International Conference on Scheduling : Theory and Applications (MISTA 2005), New York, NY. : United States (2005)" 2 More formally, we denote by

More information

cº " 6 >IJV 5 l i u $

cº  6 >IJV 5 l i u $ !"!#" $ #! &'!!"! (!)*)+), :;23 V' )! *" #$ V ' ' - & +# # J E 1 8# J E.R > +.+# E X78 E.R1 8#[0 FZE > 1 8# 0IJ"U 2A > 1 8# J EK? FZE a2 J+# ;1 8# J EK. C B.> B.> Y $ 1 8# J E. 4 8 B.EK\ X Q8#\ > 1 8#

More information

The Effect of Deposition Parameter on Electrical Resistivity of TiAlN Thin Film

The Effect of Deposition Parameter on Electrical Resistivity of TiAlN Thin Film HWAHAK KONGHAK Vol. 40, No. 4, August, 00, pp. 59-533 TiAlN Electrical Resistivity * * (00 4 3, 00 7 31 ) The Effect of Deposition Parameter on Electrical Resistivity of TiAlN Thin Film Young Soo Song,

More information

F(jω) = a(jω p 1 )(jω p 2 ) Û Ö p i = b± b 2 4ac. ω c = Y X (jω) = 1. 6R 2 C 2 (jω) 2 +7RCjω+1. 1 (6jωRC+1)(jωRC+1) RC, 1. RC = p 1, p

F(jω) = a(jω p 1 )(jω p 2 ) Û Ö p i = b± b 2 4ac. ω c = Y X (jω) = 1. 6R 2 C 2 (jω) 2 +7RCjω+1. 1 (6jωRC+1)(jωRC+1) RC, 1. RC = p 1, p ÓÖ Ò ÊÄ Ò Ò Û Ò Ò Ö Ý ½¾ Ù Ö ÓÖ ÖÓÑ Ö ÓÒ Ò ÄÈ ÐØ Ö ½¾ ½¾ ½» ½½ ÓÖ Ò ÊÄ Ò Ò Û Ò Ò Ö Ý ¾ Á b 2 < 4ac Û ÒÒÓØ ÓÖ Þ Û Ö Ð Ó ÒØ Ó Û Ð Ú ÕÙ Ö º ËÓÑ Ñ ÐÐ ÕÙ Ö Ö ÓÒ Ò º Ù Ö ÓÖ ½¾ ÓÖ Ù Ö ÕÙ Ö ÓÖ Ò ØÖ Ò Ö ÙÒØ ÓÒ

More information

An improved algorithm for scheduling two identical machines with batch delivery consideration

An improved algorithm for scheduling two identical machines with batch delivery consideration 01c $ Ê Æ Æ 117ò 11Ï March, 01 Operations Research Transactions Vol.17 No.1 1$ÑüÓ.ÅüS KU?Ž{ [ 1 4Šz 1, Á ïä 1$ÑüÓ.ÅüS K. T K ó üó.åþ\ó óó d ýnþ z $Ñ r. ùpbó køóônœ 8I žml kó xˆ r Åì žm Ñ ( 14 + ε)-cq 9

More information

NPTEL COURSE ON MATHEMATICS IN INDIA: FROM VEDIC PERIOD TO MODERN TIMES

NPTEL COURSE ON MATHEMATICS IN INDIA: FROM VEDIC PERIOD TO MODERN TIMES NPTEL COURSE ON MATHEMATICS IN INDIA: FROM VEDIC PERIOD TO MODERN TIMES Lecture 17 Mahāvīra s Gaṇitasārasaṅgraha 3 M. S. Sriram University of Madras, Chennai. Outline Plane figures: Circle, Dīrghavṛtta,

More information

T T V e g em D e j ) a S D } a o "m ek j g ed b m "d mq m [ d, )

T T V e g em D e j ) a S D } a o m ek j g ed b m d mq m [ d, ) . ) 6 3 ; 6 ;, G E E W T S W X D ^ L J R Y [ _ ` E ) '" " " -, 7 4-4 4-4 ; ; 7 4 4 4 4 4 ;= : " B C CA BA " ) 3D H E V U T T V e g em D e j ) a S D } a o "m ek j g ed b m "d mq m [ d, ) W X 6 G.. 6 [ X

More information

Mutually orthogonal latin squares (MOLS) and Orthogonal arrays (OA)

Mutually orthogonal latin squares (MOLS) and Orthogonal arrays (OA) and Orthogonal arrays (OA) Bimal Roy Indian Statistical Institute, Kolkata. Bimal Roy, Indian Statistical Institute, Kolkata. and Orthogonal arrays (O Outline of the talk 1 Latin squares 2 3 Bimal Roy,

More information

Fast Fourier Transform Solvers and Preconditioners for Quadratic Spline Collocation

Fast Fourier Transform Solvers and Preconditioners for Quadratic Spline Collocation Fast Fourier Transform Solvers and Preconditioners for Quadratic Spline Collocation Christina C. Christara and Kit Sun Ng Department of Computer Science University of Toronto Toronto, Ontario M5S 3G4,

More information

45 2 Û Vol.45 No Ó ACTA METALLURGICA SINICA Feb pp

45 2 Û Vol.45 No Ó ACTA METALLURGICA SINICA Feb pp 4 2 Û Vol.4 No.2 29 2 Ó 217 222 ACTA METALLURGICA SINICA Feb. 29.217 222 Pb. Sr. TiO 3 É Æ ÓÐÖÎ Đ Þ 1,2,3) ĐÝÛ 1,2,3) Đ 4) ÐßÜ 4) 1) ½ ¾ ¾ÆÈÊ, 7168 2) ½ ¾, 139 3) Å¾Ù Đ¾, 716 4) ž Đ ¾ ¾, 71127 Ò Ù ÇÇÙ,

More information

: œ Ö: =? À =ß> real numbers. œ the previous plane with each point translated by : Ðfor example,! is translated to :)

: œ Ö: =? À =ß> real numbers. œ the previous plane with each point translated by : Ðfor example,! is translated to :) â SpanÖ?ß@ œ Ö =? > @ À =ß> real numbers : SpanÖ?ß@ œ Ö: =? > @ À =ß> real numbers œ the previous plane with each point translated by : Ðfor example, is translated to :) á In general: Adding a vector :

More information

B œ c " " ã B œ c 8 8. such that substituting these values for the B 3 's will make all the equations true

B œ c   ã B œ c 8 8. such that substituting these values for the B 3 's will make all the equations true System of Linear Equations variables Ð unknowns Ñ B" ß B# ß ÞÞÞ ß B8 Æ Æ Æ + B + B ÞÞÞ + B œ, "" " "# # "8 8 " + B + B ÞÞÞ + B œ, #" " ## # #8 8 # ã + B + B ÞÞÞ + B œ, 3" " 3# # 38 8 3 ã + 7" B" + 7# B#

More information

2 Hallén s integral equation for the thin wire dipole antenna

2 Hallén s integral equation for the thin wire dipole antenna Ú Ð Ð ÓÒÐ Ò Ø ØØÔ»» Ѻ Ö Ùº º Ö ÁÒغ º ÁÒ Ù ØÖ Ð Å Ø Ñ Ø ÎÓк ÆÓº ¾ ¾¼½½µ ½ ¹½ ¾ ÆÙÑ Ö Ð Ñ Ø Ó ÓÖ Ò ÐÝ Ó Ö Ø ÓÒ ÖÓÑ Ø Ò Û Ö ÔÓÐ ÒØ ÒÒ Ëº À Ø ÑÞ ¹Î ÖÑ ÞÝ Ö Åº Æ Ö¹ÅÓ Êº Ë Þ ¹Ë Ò µ Ô ÖØÑ ÒØ Ó Ð ØÖ Ð Ò Ò

More information

A Study on Dental Health Awareness of High School Students

A Study on Dental Health Awareness of High School Students Journal of Dental Hygiene Science Vol. 3, No. 1,. 23~ 31 (2003), 1 Su-Min Yoo and Geum-Sun Ahn 1 Deartment of Dental Hygiene, Dong-u College 1 Deartment of Dental Hygiene, Kyung Bok College In this research,

More information

APPH 4200 Physics of Fluids

APPH 4200 Physics of Fluids APPH 42 Physcs of Fuds Inerna Gravy Waves (Ch 7) 1!! Revew of Surface Gravy Waves 2! Lnear gravy waves whn a connuousy srafed fud (Buoyancy!) 1 Rppes 2 Wave Equaon 4 E ' ' : () f? + ) ; 'j ( ' N '( I v

More information

A Theory of Universal AI

A Theory of Universal AI A Theory of Universa AI Literature Marcus Hutter Kircherr, Li, and Vitanyi Presenter Prashant J. Doshi CS594: Optima Decision Maing A Theory of Universa Artificia Inteigence p.1/18 Roadmap Caim Bacground

More information

Matrices and Determinants

Matrices and Determinants Matrices and Determinants Teaching-Learning Points A matri is an ordered rectanguar arra (arrangement) of numbers and encosed b capita bracket [ ]. These numbers are caed eements of the matri. Matri is

More information

CONVEX OPTIMIZATION OVER POSITIVE POLYNOMIALS AND FILTER DESIGN. Y. Genin, Y. Hachez, Yu. Nesterov, P. Van Dooren

CONVEX OPTIMIZATION OVER POSITIVE POLYNOMIALS AND FILTER DESIGN. Y. Genin, Y. Hachez, Yu. Nesterov, P. Van Dooren CONVEX OPTIMIZATION OVER POSITIVE POLYNOMIALS AND FILTER DESIGN Y. Genin, Y. Hachez, Yu. Nesterov, P. Van Dooren CESAME, Université catholique de Louvain Bâtiment Euler, Avenue G. Lemaître 4-6 B-1348 Louvain-la-Neuve,

More information

5. Blocking and Confounding

5. Blocking and Confounding 5. Blocking and Confounding Hae-Jin Choi School of Mechanical Engineering, Chung-Ang University 1 Why Blocking? Blocking is a technique for dealing with controllable nuisance variables Sometimes, it is

More information

Finding small factors of integers. Speed of the number-field sieve. D. J. Bernstein University of Illinois at Chicago

Finding small factors of integers. Speed of the number-field sieve. D. J. Bernstein University of Illinois at Chicago The number-field sieve Finding small factors of integers Speed of the number-field sieve D. J. Bernstein University of Illinois at Chicago Prelude: finding denominators 87366 22322444 in R. Easily compute

More information

Margin Maximizing Loss Functions

Margin Maximizing Loss Functions Margin Maximizing Loss Functions Saharon Rosset, Ji Zhu and Trevor Hastie Department of Statistics Stanford University Stanford, CA, 94305 saharon, jzhu, hastie@stat.stanford.edu Abstract Margin maximizing

More information

4. The 2 k Factorial Designs (Ch.6. Two-Level Factorial Designs)

4. The 2 k Factorial Designs (Ch.6. Two-Level Factorial Designs) 4. The 2 k Factorial Designs (Ch.6. Two-Level Factorial Designs) Hae-Jin Choi School of Mechanical Engineering, Chung-Ang University Introduction to 2 k Factorial Designs Special case of the general factorial

More information

Plasma diagnostics and abundance determinations for planetary nebulae current status. Xiaowei Liu Department of Astronomy, Peking University

Plasma diagnostics and abundance determinations for planetary nebulae current status. Xiaowei Liu Department of Astronomy, Peking University 3 ' 4 2 - '. %! A?@ @ 3 +.?; = ; %,9 ' ü / :, %4 ' 9 8 +! (76 5 +. *". 34 %, /, /10 *$+,,' -+!. *$+ () ', ' & "$# Plasma diagnostics and abundance determinations for planetary nebulae current status

More information

â çüì ÂÚUèÿææ - I, SUMMATIVE ASSESSMENT I,

â çüì ÂÚUèÿææ - I, SUMMATIVE ASSESSMENT I, â çüì ÂÚUèÿææ - I, 015-16 SUMMATIVE ASSESSMENT I, 015-16»ç æì / MATHEMATICS ÿææ - IX / Class IX çùïæüçúuì â Ø : hours çï Ì Ñ 90 Time Allowed : hours Maimum Marks: 90 âæ æ Ø çùîðüàæ Ñ 1. âöè ÂýàÙ çùßæøü

More information

póåíüéëáë ~åç `Ü~ê~ÅíÉêáò~íáçå çñ pê O pá R k U Wbì O müçëéüçê rëáåö píêçåíáìã `~êäçñóä~íé

póåíüéëáë ~åç `Ü~ê~ÅíÉêáò~íáçå çñ pê O pá R k U Wbì O müçëéüçê rëáåö píêçåíáìã `~êäçñóä~íé Journal of the Ceramic Society of Japan 115 [10] 623 627 (2007) Paper ñú ù é Ý p Eu 2 è ì u } u ó 565 0871 2 1 560 8531 1 3 póåíüéëáë ~åç `Ü~ê~ÅíÉêáò~íáçå çñ pê O pá R k U Wbì O müçëéüçê rëáåö píêçåíáìã

More information