DOCSLIB.ORG

Annualreport(101).Pdf

Total Page：16

File Type：pdf, Size：1020Kb

Download full-text PDF Read full-text
Annualreport(101).Pdf Ӝǵᙍᆀǵᖄ๎ႝ၉ϷႝηແҹߞጃǺۉΓقΓǵж౛วق΋ǵҁϦљว Γ/ᙍᆀ Ǻࢫ଻ഩ/଄୍࿶౛قว ᖄ๎ႝ၉ Ǻ(02)2896-5588 ႝηແҹߞጃ Ǻ[email protected] Γ/ᙍᆀ Ǻશҥᑽ/཮ी࿶౛قж౛ว ᖄ๎ႝ၉ Ǻ(02)2896-5588 ႝηແҹߞጃ Ǻ[email protected] ΒǵᕴϦљǵϩϦљǵπቷϐӦ֟Ϸႝ၉Ǻ ᕴϦљǺѠчѱч׫୔ύѧࠄၡ2ࢤ37ဦ2ኴ ႝ ၉Ǻ(02) 2896-5588 ϩϦљϷπቷǺคǶ Οǵި౻ၸЊᐒᄬǺ ҽԖज़Ϧљި୍ж౛೽ިچӜᆀǺε๮᛾ Ӧ֟ǺѠчѱख़ቼࠄၡ΋ࢤ2ဦ5ኴ ᆛ֟Ǻhttp://www.toptrade.com.tw ႝ၉Ǻ(02)2389-2999 Ѥǵന߈ԃࡋ଄୍ൔ֋ᛝ᛾཮ीৣǺ ӜǺම౺ျǵᑵᆧች཮ीৣۉ཮ीৣ ܌ӜᆀǺӼ҉ᖄӝ཮ीৣ٣୍܌٣୍ Ӧ֟ǺѠчѱ୷ໜၡ΋ࢤ333ဦ9ኴ /ᆛ֟Ǻhttp://www.ey.com ႝ၉Ǻ(02) 2757-8888 ၗૻϐБԄǺคچӜᆀϷࢗ၌ੇѦԖሽ᛾܌௠จວ፤ϐҬܰ൑چϖǵੇѦԖሽ᛾ ϤǵϦљᆛ֟Ǻhttp://www.asrock.com ҽԖज़Ϧљިמ๮ᔏࣽ ԃൔҞᒵ ।ԛ ൘ǵठިܿൔ֋ਜ ........................................................................................................................................ 1 ມǵϦљᙁϟ ................................................................................................................................................ 2 ΋ǵ೛ҥВය............................................................................................................................................. 2 ΒǵϦљݮॠ............................................................................................................................................. 2 ǵϦљݯ౛ൔ֋ ........................................................................................................................................ 3ୖ ಍............................................................................................................................................. 3س΋ǵಔᙃ ౛ǵӚ೽ߐϷϩЍᐒᄬЬᆅၗ਑................................. 4ڐΒǵဠ٣ǵᅱჸΓǵᕴ࿶౛ǵୋᕴ࿶౛ǵ ΟǵϦљݯ౛ၮբ௃׎........................................................................................................................... 13 Ѥǵ཮ीৣϦ຤ၗૻ............................................................................................................................... 25 ඤ཮ीৣၗૻ............................................................................................................................... 26׳ϖǵ ܌ᛝ᛾཮ीৣܭ཮ी٣୍ϐ࿶౛ΓǴന߈΋ԃϣමҺᙍ܈ϤǵϦљϐဠ٣ߏǵᕴ࿶౛ǵॄೢ଄୍ ᜢ߯Ҿ཰ϐځ܈܌ឦ٣୍܌ᛝ᛾཮ीৣܭӜǵᙍᆀϷҺᙍۉځ៛Ǵᔈඟޣᜢ߯Ҿ཰ځ܈܌ឦ٣୍ ය໔........................................................................................................................................................... 26 ຬၸԭϩϐΜϐިܿި៾౽ٯΎǵന߈ԃࡋϷᄒԿԃൔтӑВЗဠ٣ǵᅱჸΓǵ࿶౛ΓϷ࡭ިК ᡂ୏௃׎........................................................................................................................... 27ܝᙯϷި៾፦ ࣬ϕ໔ϐᜢ߯ၗ਑....................................................................... 28ځ՞߻ΜӜϐިܿǴٯΖǵ࡭ިК ϐ٣཰ჹӕ΋ᙯ׫ၗ٣཰ϐ࡭ިڋ໔ௗ௓܈ௗޔΐǵϦљǵϦљϐဠ٣ǵᅱჸΓǵ࿶౛ΓϷϦљ 28 ...............................................................................................................ٯीᆉᆕӝ࡭ިКٳኧǴ٠ӝ စǵ༅ၗ௃׎ .............................................................................................................................................. 29 ΋ǵၗҁϷިҽ....................................................................................................................................... 29 ΒǵϦљ໸(֖ੇѦϦљ໸)ᒤ౛௃׎ .................................................................................................... 32 Οǵ੝ձިᒤ౛௃׎............................................................................................................................... 32 ѤǵੇѦӸૼᏧ᛾ᒤ౛௃׎................................................................................................................... 32 ϖǵ঩πᇡި៾Ꮷ᛾ᒤ౛௃׎............................................................................................................... 32 ᡣдϦљިҽวՉཥިᒤ౛௃׎................................................................................... 32ڙ܈ᖼٳϤǵ ΎǵၗߎၮҔीฝ୺Չ௃׎................................................................................................................... 32 Ҵǵᔼၮཷݩ .............................................................................................................................................. 33 ΋ǵ཰୍ϣ৒........................................................................................................................................... 33 Βǵѱ൑Ϸౢᎍཷݩ............................................................................................................................... 44 Οǵന߈ΒԃࡋϷᄒԿԃൔтӑВЗவ཰঩πཷݩ........................................................................... 47 ѤǵᕉߥЍрၗૻ................................................................................................................................... 48 ϖǵമၗᜢ߯........................................................................................................................................... 48 Ϥǵख़ाࠨऊ........................................................................................................................................... 49 ഌǵ଄୍ཷݩ .............................................................................................................................................. 50 ΋ǵന߈ϖԃࡋᙁܴၗౢॄ໸߄Ϸཞ੻߄........................................................................................... 50 Βǵന߈ϖԃࡋ଄୍ϩ݋....................................................................................................................... 54 Οǵന߈ԃࡋ଄୍ൔ֋ϐᅱჸΓቩࢗൔ֋........................................................................................... 58 Ѥǵന߈ԃࡋ଄୍ൔ߄........................................................................................................................... 59 ଄୍ൔ߄............................................................... 59ٳϖǵന߈ԃࡋ࿶཮ीৣࢗਡᛝ᛾ϐ҆ηϦљӝ ᜢ߯Ҿ཰ന߈ԃࡋϷᄒԿԃൔтӑВЗǴӵԖวғ଄୍ຼᙯ֚ᜤϐ௃٣ǴჹҁϦљځϤǵϦљϷ ݩϐቹៜ....................................................................................................................................... 59ރ଄୍ ݩϷ࿶ᔼ่݀ϐᔠ૸ϩ݋ᆶ॥ᓀ٣໨ .................................................................................. 60ރǵ଄୍ ݩ........................................................................................................................................... 60ރ΋ǵ଄୍ Βǵ࿶ᔼ่݀........................................................................................................................................... 61 Οǵ౜ߎࢬໆ........................................................................................................................................... 62 Ѥǵന߈ԃࡋख़εၗҁЍрჹ଄୍཰୍ϐቹៜ................................................................................... 63 ᖝཞϐЬाচӢǵׯ๓ीฝϷ҂ٰ΋ԃ׫ၗीฝ............... 63܈ᕇճځϖǵന߈ԃࡋᙯ׫ၗࡹ฼ǵ Ϥǵ॥ᓀ٣໨ຑ՗................................................................................................................................... 63 дख़ा٣໨................................................................................................................................... 65ځΎǵ ǵ੝ձ૶ၩ٣໨ ...................................................................................................................................... 66 ΋ǵᜢ߯Ҿ཰࣬ᜢၗ਑........................................................................................................................... 66 ᒤ౛௃׎Ǵᔈඟ៛ިܿ཮೯ၸВයᆶኧᚐǵሽچ༅Ԗሽ᛾دΒǵന߈ԃࡋϷᄒԿԃൔтӑВЗǴ ༅ϐѸा౛җ............................................... 67دΓᒧ᏷ϐБԄϷᒤ౛ۓǵ੝܄ϐ٩ᏵϷӝ౛ۓ਱ु ೀϩҁϦљި౻௃׎........................................... 67܈Οǵന߈ԃࡋϷᄒԿԃൔтӑВЗηϦљ࡭Ԗ дѸाံкᇥܴ٣໨................................................................................................................... 67ځѤǵ ჹިܿ៾੻ۓ܌ҬܰݤಃΟΜϤచಃΒ໨ಃΒීچϖǵന߈ԃࡋϷᄒԿԃൔтӑВЗǴӵวғ᛾ ሽ਱Ԗख़εቹៜϐ٣໨............................................................................................................... 67چ᛾܈ 1 ൘ǵठިܿൔ֋ਜ ൘ǵठިܿൔ֋ਜ ൘ǵठިܿൔ֋ਜ ӚՏިܿζγǵӃғǺ ӚՏިܿζγǵӃғǺ ᔼ཰ԏΕࣁٳӝמߚதགᖴӚՏިܿୖуҁϦљ΋ɄΒԃިܿத཮Ƕ҇୯΋Ʉ΋ԃ๮ᔏࣽ ᔼ཰ԏΕࣁٳӝמӚՏިܿζγǵӃғǺߚதགᖴӚՏިܿୖуҁϦљ΋ɄΒԃިܿத཮Ƕ҇୯΋Ʉ΋ԃ๮ᔏࣽ ᔼ཰ԏΕཥѠჾ 107.8 ሹϡ૰ଏΑ 1.2%ǹӧ᏾ᡏ PC ѱ൑૰ٳཥѠჾ 106.6 ሹϡǴၨ΋ԭԃӝ ᔼ཰ԏΕཥѠჾ 107.8 ሹϡ૰ଏΑ 1.2%ǹӧ᏾ᡏ PC ѱ൑૰ٳཥѠჾ 106.6 ሹϡǴၨ΋ԭԃӝ Ƕ୤΋Ʉ΋ԃΠъԃǴЬᐒ݈ѱ൑ሽ਱ᝡݾᙯᖿᐟਗ਼Ǵڙᔼԏ߄౜ۘёௗޑᕉნύǴ೭ኬޑᔼ཰ԏΕࣁଏٳӝמߚதགᖴӚՏިܿୖуҁϦљ΋ɄΒԃިܿத཮Ƕ҇୯΋Ʉ΋ԃ๮ᔏࣽ ᔼ཰ԏΕཥѠჾ ሹϡ૰ଏΑ ǹӧ᏾ᡏ ѱ൑૰ٳǶ୤΋Ʉ΋ԃΠъԃǴЬᐒ݈ѱ൑ሽ਱ᝡݾᙯᖿᐟਗ਼ǴሹϡǴၨ΋ԭԃӝڙᔼԏ߄౜ۘёௗޑᕉნύǴ೭ኬޑཥѠჾଏ Лճ౗ࣁ107.8 1.2%19.2%Ǵၨ΋ԭԃЛճ౗PC 21.5%ΠྖǶӢמ٬᏾ᡏЛճ౗ΠྖǴ҇୯΋Ʉ΋ԃ๮ᔏࣽ 106.6 Лճ౗ࣁ 19.2%Ǵၨ΋ԭԃЛճ౗ 21.5%ΠྖǶӢמ٬᏾ᡏЛճ౗ΠྖǴ҇୯΋Ʉ΋ԃ๮ᔏࣽ Ƕ୤΋Ʉ΋ԃΠъԃǴЬᐒ݈ѱ൑ሽ਱ᝡݾᙯᖿᐟਗ਼ǴϦљၠΕπ཰ႝတЬᐒ݈аϷ՛ܺᏔЬᐒ݈ѱ൑ǴаϷՉᎍ຤ҔԋߏǴᔼ཰຤Ҕၨ߻΋ԃቚуǴڙᔼԏ߄౜ۘёௗޑᕉნύǴ೭ኬޑଏ Лճ౗ࣁϦљၠΕπ཰ႝတЬᐒ݈аϷ՛ܺᏔЬᐒ݈ѱ൑ǴаϷՉᎍ຤ҔԋߏǴᔼ཰຤Ҕၨ߻΋ԃቚуǴǴၨ΋ԭԃЛճ౗ ΠྖǶӢמ٬᏾ᡏЛճ౗ΠྖǴ҇୯΋Ʉ΋ԃ๮ᔏࣽ ࡕృճΠྖԿཥѠჾ21.5% 10.4ิޑफ़ե٬๮ᔏޑǶЛճ౗%8.9%19.2ډҗ 7.8%ගଯٯКޑᔼ཰຤Ҕ՞ᔼԏ ࡕృճΠྖԿཥѠჾ 10.4ิޑफ़ե٬๮ᔏޑǶЛճ౗%8.9 ډҗ 7.8%ගଯٯКޑϦљၠΕπ཰ႝတЬᐒ݈аϷ՛ܺᏔЬᐒ݈ѱ൑ǴаϷՉᎍ຤ҔԋߏǴᔼ཰຤Ҕၨ߻΋ԃቚуǴᔼ཰຤Ҕ՞ᔼԏ ᔼ཰่݀ख़ᗺᇥܴٳሹϡǴၨ΋ԭԃิࡕృճ 13.1 ሹϡΠྖ 20.8%Ƕ૟ஒҁϦљ΋Ʉ΋ԃࡋӝ ᔼ཰่݀ख़ᗺᇥܴٳࡕృճΠྖԿཥѠჾǶ૟ஒҁϦљ΋Ʉ΋ԃࡋӝิޑफ़ե٬๮ᔏޑǶЛճ౗%20.8 ډҗሹϡǴၨ΋ԭԃิࡕృճ 13.1 ሹϡΠྖගଯٯКޑᔼ཰຤Ҕ՞ᔼԏ ӵΠ: 7.8% 8.9% 10.4 ӵΠ: ᔼ཰่݀ख़ᗺᇥܴٳሹϡǴၨ΋ԭԃิࡕృճ!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!ൂՏ;ཥѠჾሹϡ!13.1 ሹϡΠྖ 20.8%Ƕ૟ஒҁϦљ΋Ʉ΋ԃࡋӝ ӵΠ:!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!ൂՏ;ཥѠჾሹϡ! ໨Ҟ! 101 ԃ 100 ԃ ໨Ҟ! 101 ԃ ߎᚐ!100 ԃ % ߎᚐ % !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!ൂՏ;ཥѠჾሹϡ! ߎᚐ!ᔼ཰ԏΕ % ߎᚐ106.6 100% 107.8 100 ໨Ҟ! 101 ԃ 100 ԃ ᔼ཰ԏΕ ᔼ཰Лճ106.6 100 107.820.5 100 19 23.2 22 ߎᚐ! % ߎᚐ % ᔼ཰Лճ ᔼ཰຤Ҕ20.5 19 23.29.5 22 9 8.4 8 ᔼ཰ԏΕ 106.6 100 107.8 100 ᔼ཰຤Ҕ ᔼ཰ృճ9.5 911.0 8.4 10 8 14.9 14 ᔼ཰Лճ 20.5 19 23.2 22 ᔼ཰ృճ ิ߻ృճ11.0 1011.6 14.9 11 14 15.3 14 ᔼ཰຤Ҕ 9.5 9 8.4 8 ิ߻ృճ ิࡕృճ11.6 1110.4 15.3 10 14 13.1 12 ᔼ཰ృճ 11.0 10 14.9 14 ิࡕృճ ิࡕ10.4EPS(ϡ 10) 13.19.0 12 11.4 ิ߻ృճ 11.6 11 15.3 14 ิࡕ EPS(ϡ) 9.0 11.4 ิࡕృճ 10.4 10 13.1 12 ิࡕ EPS(ϡ) 9.0 11.4 ৖ఈϞԃǴय़ჹӄౚ࿶ᔮόඳ਻ޑࡷᏯаϷ PC ѱ൑࡭ុ૰ଏǴ๮ᔏЬᐒ݈Лճ౗ёఈЗ ৖ఈϞԃǴय़ჹӄౚ࿶ᔮόඳ਻ޑࡷᏯаϷ PC ѱ൑࡭ុ૰ଏǴ๮ᔏЬᐒ݈Лճ౗ёఈЗ ႝᝡਫ΢ࠠޑৎވᝡᖻވႝٮ௢р஑׳ᛙǴਫ΢ࠠႝတౢࠔନΑ௢рཥී଎գਫ΢ࠠႝတѦǴ ႝᝡਫ΢ࠠޑৎވᝡᖻވႝٮ௢р஑׳ᛙǴਫ΢ࠠႝတౢࠔନΑ௢рཥී଎գਫ΢ࠠႝတѦǴ ࡷᏯаϷႝတǶќѦϞԃ๮ᔏς҅ԄԋҥȨ҉ᔏႝηިҽԖज़ϦљȩPC ѱ൑࡭ុ૰ଏǴ๮ᔏЬᐒ݈Лճ౗ёఈЗǴஒ஑ݙӧ՛ܺᏔѱ൑Ǵ׆ఈૈӧԋޑ৖ఈϞԃǴय़ჹӄౚ࿶ᔮόඳ਻ ႝᝡਫ΢ࠠႝတǶќѦϞԃ๮ᔏς҅ԄԋҥȨ҉ᔏႝηިҽԖज़ϦљȩǴஒ஑ݙӧ՛ܺᏔѱ൑Ǵ׆ఈૈӧԋޑৎވᝡᖻވႝٮ௢р஑׳ᛙǴਫ΢ࠠႝတౢࠔନΑ௢рཥී଎գਫ΢ࠠႝတѦǴ ߏύޑ໦ᆄѱ൑Ԗ܌߄౜Ƕ ߄౜Ƕ Ǵஒ஑ݙӧ՛ܺᏔѱ൑Ǵ׆ఈૈӧԋ܌໦ᆄѱ൑ԖޑႝတǶќѦϞԃ๮ᔏς҅ԄԋҥȨ҉ᔏႝηިҽԖज़Ϧљȩߏύ ߏύޑ໦ᆄѱ൑Ԗ܌߄౜Ƕ ལઔӚՏ ལઔӚՏ ᡏ଼ந ࿤٣ӵཀي ҽԖज़Ϧљިמᡏ଼ந ࿤٣ӵཀ ๮ᔏࣽي ལઔӚՏ ҽԖज़Ϧљިמ๮ᔏࣽ ᡏ଼ந ࿤٣ӵཀي ဠ٣ߏ ৪Шܱ ལ΢ ҽԖज़Ϧљިמ๮ᔏࣽ ဠ٣ߏ ৪Шܱ
Load more

Recommended publications
  • News, Information, Rumors, Opinions, Etc
    http://www.physics.miami.edu/~chris/srchmrk_nws.html ● Miami-Dade/Broward/Palm Beach News ❍ Miami Herald Online Sun Sentinel Palm Beach Post ❍ Miami ABC, Ch 10 Miami NBC, Ch 6 ❍ Miami CBS, Ch 4 Miami Fox, WSVN Ch 7 ● Local Government, Schools, Universities, Culture ❍ Miami Dade County Government ❍ Village of Pinecrest ❍ Miami Dade County Public Schools ❍ ❍ University of Miami UM Arts & Sciences ❍ e-Veritas Univ of Miami Faculty and Staff "news" ❍ The Hurricane online University of Miami Student Newspaper ❍ Tropic Culture Miami ❍ Culture Shock Miami ● Local Traffic ❍ Traffic Conditions in Miami from SmartTraveler. ❍ Traffic Conditions in Florida from FHP. ❍ Traffic Conditions in Miami from MSN Autos. ❍ Yahoo Traffic for Miami. ❍ Road/Highway Construction in Florida from Florida DOT. ❍ WSVN's (Fox, local Channel 7) live Traffic conditions in Miami via RealPlayer. News, Information, Rumors, Opinions, Etc. ● Science News ❍ EurekAlert! ❍ New York Times Science/Health ❍ BBC Science/Technology ❍ Popular Science ❍ Space.com ❍ CNN Space ❍ ABC News Science/Technology ❍ CBS News Sci/Tech ❍ LA Times Science ❍ Scientific American ❍ Science News ❍ MIT Technology Review ❍ New Scientist ❍ Physorg.com ❍ PhysicsToday.org ❍ Sky and Telescope News ❍ ENN - Environmental News Network ● Technology/Computer News/Rumors/Opinions ❍ Google Tech/Sci News or Yahoo Tech News or Google Top Stories ❍ ArsTechnica Wired ❍ SlashDot Digg DoggDot.us ❍ reddit digglicious.com Technorati ❍ del.ic.ious furl.net ❍ New York Times Technology San Jose Mercury News Technology Washington
    [Show full text]
  • Internet Economy 25 Years After .Com
    THE INTERNET ECONOMY 25 YEARS AFTER .COM TRANSFORMING COMMERCE & LIFE March 2010 25Robert D. Atkinson, Stephen J. Ezell, Scott M. Andes, Daniel D. Castro, and Richard Bennett THE INTERNET ECONOMY 25 YEARS AFTER .COM TRANSFORMING COMMERCE & LIFE March 2010 Robert D. Atkinson, Stephen J. Ezell, Scott M. Andes, Daniel D. Castro, and Richard Bennett The Information Technology & Innovation Foundation I Ac KNOW L EDGEMEN T S The authors would like to thank the following individuals for providing input to the report: Monique Martineau, Lisa Mendelow, and Stephen Norton. Any errors or omissions are the authors’ alone. ABOUT THE AUTHORS Dr. Robert D. Atkinson is President of the Information Technology and Innovation Foundation. Stephen J. Ezell is a Senior Analyst at the Information Technology and Innovation Foundation. Scott M. Andes is a Research Analyst at the Information Technology and Innovation Foundation. Daniel D. Castro is a Senior Analyst at the Information Technology and Innovation Foundation. Richard Bennett is a Research Fellow at the Information Technology and Innovation Foundation. ABOUT THE INFORMATION TECHNOLOGY AND INNOVATION FOUNDATION The Information Technology and Innovation Foundation (ITIF) is a Washington, DC-based think tank at the cutting edge of designing innovation policies and exploring how advances in technology will create new economic opportunities to improve the quality of life. Non-profit, and non-partisan, we offer pragmatic ideas that break free of economic philosophies born in eras long before the first punch card computer and well before the rise of modern China and pervasive globalization. ITIF, founded in 2006, is dedicated to conceiving and promoting the new ways of thinking about technology-driven productivity, competitiveness, and globalization that the 21st century demands.
    [Show full text]
  • Hurricane Slams Into New Orleans Gaynd
    THE The Independent Newspaper Serving Notre Dame and Saint Mary's OLUME 40: ISSUE 6 TUESDAY, AUGUST 30,2005 NDSMCOBSERVER.COM Hurricane slams into New Orleans GayND llurrieann Katrina had a[rp,ady N 0 students worry demonstrated its violenco by student about loved ones in Thursday - claiming scwnn lives in Florida as a morn Category I path of violent storm storm. honored That samn statnmcmt warnnd of thn storm's ability to obliterate By KATIE PERRY mohiln homes and other "poorly­ Sophomore is one of Ntws Wrilt'r c:onstructnd dwellings." Morn sta­ ble buildings were also labeled as 19 national finalists at-risk areas as the National As thn Big Easy bracnd Monday Wnathnr Snrvien warned residents !ill' Katrina -tho Catngory 4 hur­ By MARY KATE MALONE of' Now Orleans that Katrina also News Writer. riearw purportnd to be tlw most had thP eapadty to eausc~ serious c·atastrophic~ cwnnt to strikn tho damage to even wnll-built struc­ rngion in dneadns - wary Nnw tures. Thnrn's a ccdnbdty of sorts OriPans on Notrn Damn's campus. nativPs of Keeping in touch I In is fnaturc~d in Tinw maga­ N otrc> llanw See Also Senior Brandon Hall - who zinn next month and is tlw and Saint livns within thn New Orleans city subject of a feature~ story in a M a ,. y · s "Weaker Katrina limiL'i -said he h<L'i spoken to his major metropolitan newspa­ I' x p r n s s n d floors New family and friends, but with dilli­ per. gravn eonenrn eulty.
    [Show full text]
  • Web Providers.Pdf
    Contract No: ICTS2015 Last Updated: 14 June 2018 Document number: 01727057 ICT Services Contractor Profiles: Category 2 1 February 2016 to 31 January 2019 CONTRACT MANAGER Email: [email protected] Kala Govindarajoo Tel: 08 6551 1348 Government Procurement Department of Finance Optima Centre 16 Parkland Road OSBORNE Pcw nomineesARK WA 6017 Contents ICT Services Contractor Profiles: Category 2 .............................................................................. 1 5 Star Business Solutions ............................................................................................................ 7 365 Solutions Consulting Pty Ltd (Previously Referconsulting Pty Ltd) ....................................... 8 ABM Systems .............................................................................................................................. 9 Adapptor .................................................................................................................................... 10 Agile Computing Pty Ltd............................................................................................................. 11 Agility IT Consulting ................................................................................................................... 12 Modis Consulting Pty Ltd (Previously Ajilon Australia Pty Ltd) ................................................... 13 allaboutXpert Australia Pty Ltd ................................................................................................... 14 Alyka Pty
    [Show full text]
  • AD Mike Bohn Could Leave for USC Pg. 3
    The News Record @NewsRecord_UC /TheNewsRecord @thenewsrecord Wednesday, November 6, 2019 HOMECOMING 2O19 pg. 3 | Homecoming pg. 4 | What will go in pg. 8 | AD Mike Bohn events around campus UC’s time capsule? could leave for USC PHOTO: ANDREW HIGLEY | UNIVERSITY OF CINCINNATI November 6, 2019 Page 2 The elusive dining hall only marketed to athletes QUINLAN BENTLEY | STAFF REPORTER website. Some have even taken to social media to protest what they say is UC’s Tucked quietly away on the 700 level of lack of transparency, while others view the the Richard E. Lindner Center, a little- facility’s existence as inconsequential. known dining facility has stirred up debate “[One] reason student athletes are likely surrounding preferential treatment of more aware of the facility is because student athletes. student-athletes’ meal plans support the The Varsity Club is a dining facility that operations of the facility,” said Reilly. “It debuted last fall as a partnership between doesn’t meet most students’ needs as do Food Services and UC Athletics to lessen other campus dining options that have demand at the university’s other dining wider food selections and continuous hours facilities in response to rising enrollment of operation from early morning to late and to better meet student athletes’ night,” she said. nutritional needs. Considering National Collegiate Before its transformation, the space was Athletic Association (NCAA) regulations originally titled the Seasongood Dining that prohibit universities from giving Room and was a faculty dining facility preferential treatment to student athletes, operated by the nonprofit Cincinnati Faculty Wentland said he views this lack of Club, Inc.
    [Show full text]
  • Technology, Media, and Telecommunications Predictions
    Technology, Media, and Telecommunications Predictions 2019 Deloitte’s Technology, Media, and Telecommunications (TMT) group brings together one of the world’s largest pools of industry experts—respected for helping companies of all shapes and sizes thrive in a digital world. Deloitte’s TMT specialists can help companies take advantage of the ever- changing industry through a broad array of services designed to meet companies wherever they are, across the value chain and around the globe. Contact the authors for more information or read more on Deloitte.com. Technology, Media, and Telecommunications Predictions 2019 Contents Foreword | 2 5G: The new network arrives | 4 Artificial intelligence: From expert-only to everywhere | 14 Smart speakers: Growth at a discount | 24 Does TV sports have a future? Bet on it | 36 On your marks, get set, game! eSports and the shape of media in 2019 | 50 Radio: Revenue, reach, and resilience | 60 3D printing growth accelerates again | 70 China, by design: World-leading connectivity nurtures new digital business models | 78 China inside: Chinese semiconductors will power artificial intelligence | 86 Quantum computers: The next supercomputers, but not the next laptops | 96 Deloitte Australia key contacts | 108 1 Technology, Media, and Telecommunications Predictions 2019 Foreword Dear reader, Welcome to Deloitte Global’s Technology, Media, and Telecommunications Predictions for 2019. The theme this year is one of continuity—as evolution rather than stasis. Predictions has been published since 2001. Back in 2009 and 2010, we wrote about the launch of exciting new fourth-generation wireless networks called 4G (aka LTE). A decade later, we’re now making predic- tions about 5G networks that will be launching this year.
    [Show full text]
  • PC Gamers Win Big
    CASE STUDY Intel® Solid-State Drives Performance, Storage and the Customer Experience PC Gamers Win Big Intel® Solid-State Drives (SSDs) deliver the ultimate gaming experience, providing dramatic visual and runtime improvements Intel® Solid-State Drives (SSDs) represent a revolutionary breakthrough, delivering a giant leap in storage performance. Designed to satisfy the most demanding gamers, media creators, and technology enthusiasts, Intel® SSDs bring a high level of performance and reliability to notebook and desktop PC storage. Faster load times and improved graphics performance such as increased detail in textures, higher resolution geometry, smoother animation, and more characters on the screen make for a better gaming experience. Developers are now taking advantage of these features in their new game designs. SCREAMING LOAD TiMES AND SMOOTH GRAPHICS With no moving parts, high reliability, and a longer life span than traditional hard drives, Intel Solid-State Drives (SSDs) dramatically improve the computer gaming experience. Load times are substantially faster. When compared with Western Digital VelociRaptor* 10K hard disk drives (HDDs), gamers experienced up to 78 percent load time improvements using Intel SSDs. Graphics are smooth and uninterrupted, even at the highest graphics settings. To see the performance difference in a head-to- head video comparing the Intel® X25-M SATA SSD with a 10,000 RPM HDD, go to www.intelssdgaming.com. When comparing frame-to-frame coherency with the Western Digital VelociRaptor 10K HDD, the Intel X25-M responds with zero hitching while the WD VelociRaptor shows hitching seven percent of the time. This means gamers experience smoother visual transitions with Intel SSDs.
    [Show full text]
  • Lecture 1: CS/ECE 3810 Introduction
    Lecture 1: CS/ECE 3810 Introduction • Today’s topics: . Why computer organization is important . Logistics . Modern trends 1 Why Computer Organization 2 Image credits: uber, extremetech, anandtech Why Computer Organization 3 Image credits: gizmodo Why Computer Organization • Embarrassing if you are a BS in CS/CE and can’t make sense of the following terms: DRAM, pipelining, cache hierarchies, I/O, virtual memory, … • Embarrassing if you are a BS in CS/CE and can’t decide which processor to buy: 4.4 GHz Intel Core i9 or 4.7 GHz AMD Ryzen 9 (reason about performance/power) • Obvious first step for chip designers, compiler/OS writers • Will knowledge of the hardware help you write better and more secure programs? 4 Must a Programmer Care About Hardware? • Must know how to reason about program performance and energy and security • Memory management: if we understand how/where data is placed, we can help ensure that relevant data is nearby • Thread management: if we understand how threads interact, we can write smarter multi-threaded programs Why do we care about multi-threaded programs? 5 Example 200x speedup for matrix vector multiplication • Data level parallelism: 3.8x • Loop unrolling and out-of-order execution: 2.3x • Cache blocking: 2.5x • Thread level parallelism: 14x Further, can use accelerators to get an additional 100x. 6 Key Topics • Moore’s Law, power wall • Use of abstractions • Assembly language • Computer arithmetic • Pipelining • Using predictions • Memory hierarchies • Accelerators • Reliability and Security 7 Logistics
    [Show full text]
  • Survey and Benchmarking of Machine Learning Accelerators
    1 Survey and Benchmarking of Machine Learning Accelerators Albert Reuther, Peter Michaleas, Michael Jones, Vijay Gadepally, Siddharth Samsi, and Jeremy Kepner MIT Lincoln Laboratory Supercomputing Center Lexington, MA, USA freuther,pmichaleas,michael.jones,vijayg,sid,[email protected] Abstract—Advances in multicore processors and accelerators components play a major role in the success or failure of an have opened the flood gates to greater exploration and application AI system. of machine learning techniques to a variety of applications. These advances, along with breakdowns of several trends including Moore’s Law, have prompted an explosion of processors and accelerators that promise even greater computational and ma- chine learning capabilities. These processors and accelerators are coming in many forms, from CPUs and GPUs to ASICs, FPGAs, and dataflow accelerators. This paper surveys the current state of these processors and accelerators that have been publicly announced with performance and power consumption numbers. The performance and power values are plotted on a scatter graph and a number of dimensions and observations from the trends on this plot are discussed and analyzed. For instance, there are interesting trends in the plot regarding power consumption, numerical precision, and inference versus training. We then select and benchmark two commercially- available low size, weight, and power (SWaP) accelerators as these processors are the most interesting for embedded and Fig. 1. Canonical AI architecture consists of sensors, data conditioning, mobile machine learning inference applications that are most algorithms, modern computing, robust AI, human-machine teaming, and users (missions). Each step is critical in developing end-to-end AI applications and applicable to the DoD and other SWaP constrained users.
    [Show full text]
  • A Guide to Smartphone Astrophotography National Aeronautics and Space Administration
    National Aeronautics and Space Administration A Guide to Smartphone Astrophotography National Aeronautics and Space Administration A Guide to Smartphone Astrophotography A Guide to Smartphone Astrophotography Dr. Sten Odenwald NASA Space Science Education Consortium Goddard Space Flight Center Greenbelt, Maryland Cover designs and editing by Abbey Interrante Cover illustrations Front: Aurora (Elizabeth Macdonald), moon (Spencer Collins), star trails (Donald Noor), Orion nebula (Christian Harris), solar eclipse (Christopher Jones), Milky Way (Shun-Chia Yang), satellite streaks (Stanislav Kaniansky),sunspot (Michael Seeboerger-Weichselbaum),sun dogs (Billy Heather). Back: Milky Way (Gabriel Clark) Two front cover designs are provided with this book. To conserve toner, begin document printing with the second cover. This product is supported by NASA under cooperative agreement number NNH15ZDA004C. [1] Table of Contents Introduction.................................................................................................................................................... 5 How to use this book ..................................................................................................................................... 9 1.0 Light Pollution ....................................................................................................................................... 12 2.0 Cameras ................................................................................................................................................
    [Show full text]
  • AI Chips: What They Are and Why They Matter
    APRIL 2020 AI Chips: What They Are and Why They Matter An AI Chips Reference AUTHORS Saif M. Khan Alexander Mann Table of Contents Introduction and Summary 3 The Laws of Chip Innovation 7 Transistor Shrinkage: Moore’s Law 7 Efficiency and Speed Improvements 8 Increasing Transistor Density Unlocks Improved Designs for Efficiency and Speed 9 Transistor Design is Reaching Fundamental Size Limits 10 The Slowing of Moore’s Law and the Decline of General-Purpose Chips 10 The Economies of Scale of General-Purpose Chips 10 Costs are Increasing Faster than the Semiconductor Market 11 The Semiconductor Industry’s Growth Rate is Unlikely to Increase 14 Chip Improvements as Moore’s Law Slows 15 Transistor Improvements Continue, but are Slowing 16 Improved Transistor Density Enables Specialization 18 The AI Chip Zoo 19 AI Chip Types 20 AI Chip Benchmarks 22 The Value of State-of-the-Art AI Chips 23 The Efficiency of State-of-the-Art AI Chips Translates into Cost-Effectiveness 23 Compute-Intensive AI Algorithms are Bottlenecked by Chip Costs and Speed 26 U.S. and Chinese AI Chips and Implications for National Competitiveness 27 Appendix A: Basics of Semiconductors and Chips 31 Appendix B: How AI Chips Work 33 Parallel Computing 33 Low-Precision Computing 34 Memory Optimization 35 Domain-Specific Languages 36 Appendix C: AI Chip Benchmarking Studies 37 Appendix D: Chip Economics Model 39 Chip Transistor Density, Design Costs, and Energy Costs 40 Foundry, Assembly, Test and Packaging Costs 41 Acknowledgments 44 Center for Security and Emerging Technology | 2 Introduction and Summary Artificial intelligence will play an important role in national and international security in the years to come.
    [Show full text]
  • How to Set up the Echo Spot R S PRODUCT REVIEWS 2018 HOLIDAY GIFT GUIDE DEALS HOW to FORUM
    11/29/2018 How to Set Up the Echo Spot r s PRODUCT REVIEWS 2018 HOLIDAY GIFT GUIDE DEALS HOW TO FORUM Tom's Guide / Tom's Hardware / Laptop Mag / TopTenReviews / AnandTech CYBER MONDAY DEALS Airpods Amazon Deals Apple Deals Xbox External Hard Drives 4K Smart TVs iPads Robot Vacuums All Tech Deals SMART HOME REVIEW How to Set Up the Echo Spot by MONICA CHIN Jun 8, 2018, 8:38 AM Like other Alexa-enabled smart speakers, you can use the Echo Spot to control your smart-home devices, read your texts, organize your shopping list, stream music and audiobooks, and call other Echo devices and phone lines. However, with its screen and built-in camera, the Spot can also be used to watch videos, to video chat with friends, and even to “drop in” on family members. Before you start listening, calling, and connecting your smart home, however, you’ll need to get the device up and running. Here’s our step-by-step guide. × myTo… GE Z-… Jasco… Jasco… Hone… myTo… GE Z-… 1. Turn on your Echo Spot. $14.99 $39.99 $79.99 $109.99 $39.99 $24.99 $44.99 https://www.tomsguide.com/us/hot-to-set-up-echo-spot,review-5478.html 1/6 11/29/2018 How to Set Up the Echo Spot Plug your Echo Spot into a power outlet via the included adapter. Once it’s plugged in, the Spot’s display will light up with the AmazonPRODU logoCT R andEVIE AlexaWS (the20 1artificially8 HOLIDA Yintelligent GIFT GUI DvoiceE assistantDEALS thatHOW TO FORUM powers Amazon’s smart speakers) will greet you.
    [Show full text]