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000-M77 - Information Management Optim Technical Mastery v2 - Dump Information

Vendor : IBM
Exam Code : 000-M77
Exam Name : Information Management Optim Technical Mastery v2
Questions and Answers : 40 Q & A
Updated On : February 20, 2019
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000-M77 Questions and Answers

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000-M77 Information Management Optim Technical Mastery v2

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000-M77 exam Dumps Source : Information Management Optim Technical Mastery v2

Test Code : 000-M77
Test Name : Information Management Optim Technical Mastery v2
Vendor Name : IBM
Q&A : 40 Real Questions

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IBM Information Management Optim Technical

IBM Db2 question Optimization using AI | killexams.com Real Questions and Pass4sure dumps

In September 2018, IBM announced a new product, IBM Db2 AI for z/OS. This artificial intelligence engine displays facts entry patterns from executing SQL statements, uses computer discovering algorithms to decide upon superior patterns and passes this counsel to the Db2 question optimizer to be used with the aid of subsequent statements.

desktop researching on the IBM z Platform

In can also of 2018, IBM announced edition 1.2 of its machine learning for z/OS (MLz) product. here's a hybrid zServer and cloud software suite that ingests performance information, analyzes and builds fashions that symbolize the fitness status of a variety of warning signs, screens them over time and offers true-time scoring capabilities.

a number of features of this product offering are aimed at aiding a community of mannequin builders and managers. as an instance:

  • It helps distinctive programming languages such as Python, Scala and R. This allows facts modelers and scientists to make use of a language with which they are customary;
  • A graphical person interface called the visual model Builder guides model developers without requiring incredibly-technical programming talents;
  • It includes varied dashboards for monitoring model results and scoring features, as well as controlling the device configuration.
  • This computing device discovering suite become at first aimed at zServer-based analytics functions. one of the first obvious selections was zSystem efficiency monitoring and tuning. device administration Facility (SMF) facts that are automatically generated by the working equipment give the raw records for device useful resource consumption reminiscent of valuable processor utilization, I/O processing, reminiscence paging and so on. IBM MLz can bring together and save these facts over time, and construct and train fashions of gadget conduct, ranking these behaviors, identify patterns not without problems foreseen by using humans, increase key efficiency warning signs (KPIs) after which feed the model outcomes lower back into the system to have an effect on system configuration adjustments that can increase efficiency.

    The subsequent step changed into to put into effect this suite to research Db2 efficiency information. One answer, called the IBM Db2 IT Operational Analytics (Db2 ITOA) answer template, applies the desktop discovering technology to Db2 operational information to gain an knowing of Db2 subsystem health. it might probably dynamically build baselines for key efficiency symptoms, deliver a dashboard of those KPIs and provides operational personnel true-time perception into Db2 operations.

    whereas generic Db2 subsystem performance is a vital aspect in ordinary application fitness and efficiency, IBM estimates that the DBA support body of workers spends 25% or extra of its time, " ... combating access path complications which cause efficiency degradation and service influence.". (See Reference 1).

    AI involves Db2

    accept as true with the plight of modern DBAs in a Db2 atmosphere. In ultra-modern IT world they have to aid one or more large facts applications, cloud application and database features, application installation and configuration, Db2 subsystem and software efficiency tuning, database definition and management, disaster recuperation planning, and extra. query tuning has been in existence in view that the origins of the database, and DBAs are constantly tasked with this as well.

    The coronary heart of question direction analysis in Db2 is the Optimizer. It accepts SQL statements from functions, verifies authority to entry the facts, stories the places of the objects to be accessed and develops a list of candidate records access paths. These entry paths can include indexes, desk scans, quite a few table join methods and others. in the statistics warehouse and large statistics environments there are continually further choices obtainable. One of these is the existence of abstract tables (sometimes referred to as materialized question tables) that comprise pre-summarized or aggregated facts, consequently permitting Db2 to prevent re-aggregation processing. an extra alternative is the starjoin entry route, commonplace within the statistics warehouse, where the order of desk joins is modified for performance explanations.

    The Optimizer then stories the candidate access paths and chooses the access route, "with the lowest cost." cost in this context potential a weighted summation of useful resource usage together with CPU, I/O, reminiscence and other materials. ultimately, the Optimizer takes the lowest cost entry course, retailers it in memory (and, optionally, within the Db2 directory) and starts off entry route execution.

    big information and statistics warehouse operations now include utility suites that allow the company analyst to use a graphical interface to build and manipulate a miniature facts model of the data they are looking to analyze. The packages then generate SQL statements in response to the clients’ requests.

    The problem for the DBA

    in an effort to do first rate analytics on your multiple statistics outlets you need a fine knowing of the records necessities, an realizing of the analytical features and algorithms purchasable and a excessive-performance information infrastructure. alas, the quantity and placement of information sources is expanding (both in dimension and in geography), records sizes are transforming into, and applications continue to proliferate in quantity and complexity. How should IT managers aid this atmosphere, notably with probably the most skilled and mature team of workers nearing retirement?

    understand also that a big part of cutting back the overall charge of possession of these methods is to get Db2 functions to run quicker and greater successfully. This constantly translates into using fewer CPU cycles, doing fewer I/Os and transporting less records across the network. when you consider that it's regularly complicated to even establish which applications could benefit from efficiency tuning, one strategy is to automate the detection and correction of tuning considerations. here's where desktop getting to know and artificial intelligence can be used to great impact.

    Db2 12 for z/OS and artificial Intelligence

    Db2 edition 12 on z/OS uses the machine studying amenities mentioned above to gather and store SQL question text and access course particulars, in addition to specific performance-connected historic advice such as CPU time used, elapsed times and influence set sizes. This providing, described as Db2 AI for z/OS, analyzes and outlets the statistics in laptop learning fashions, with the mannequin evaluation effects then being scored and made attainable to the Db2 Optimizer. The subsequent time a scored SQL observation is encountered, the Optimizer can then use the mannequin scoring statistics as enter to its entry course choice algorithm.

    The result may still be a discount in CPU consumption because the Optimizer uses model scoring input to choose stronger access paths. This then lowers CPU fees and speeds utility response instances. a big abilities is that using AI utility doesn't require the DBA to have statistics science potential or deep insights into query tuning methodologies. The Optimizer now chooses the most appropriate entry paths primarily based now not best on SQL query syntax and records distribution records but on modelled and scored historical efficiency.

    This will also be notably essential in case you shop information in dissimilar areas. as an instance, many analytical queries against large data require concurrent entry to definite facts warehouse tables. These tables are frequently known as dimension tables, and that they contain the records aspects always used to manage subsetting and aggregation. as an example, in a retail atmosphere accept as true with a desk called StoreLocation that enumerates every save and its place code. Queries against save income records may wish to aggregate or summarize revenue with the aid of area; hence, the StoreLocation table might be used through some large facts queries. in this atmosphere it's regular to take the dimension tables and copy them regularly to the large statistics utility. within the IBM world this location is the IBM Db2 Analytics Accelerator (IDAA).

    Now think about SQL queries from both operational applications, records warehouse users and large facts enterprise analysts. From Db2's perspective, all these queries are equal, and are forwarded to the Optimizer. despite the fact, in the case of operational queries and warehouse queries they should still absolutely be directed to access the StoreLocation table within the warehouse. nonetheless, the query from the company analyst towards big records tables should still probably access the reproduction of the table there. This results in a proliferations of skills entry paths, and more work for the Optimizer. fortuitously, Db2 AI for z/OS can deliver the Optimizer the suggestions it should make smart access direction selections.

    how it Works

    The sequence of events in Db2 AI for z/OS (See Reference 2) is generally here:

  • all the way through a bind, rebind, prepare or explain operation, an SQL remark is passed to the Optimizer;
  • The Optimizer chooses the statistics access direction; because the option is made, Db2 AI captures the SQL syntax, access path option and question performance statistics (CPU used, and so on.) and passes it to a "researching task";
  • The discovering assignment, which can also be accomplished on a zIIP processor (a non-well-known-purpose CPU core that does not aspect into application licensing charges), interfaces with the machine researching utility (MLz mannequin services) to save this assistance in a model;
  • as the volume of records in every model grows, the MLz Scoring carrier (which can also be achieved on a zIIP processor) analyzes the model facts and rankings the behavior;
  • right through the next bind, rebind, prepare or explain, the Optimizer now has entry to the scoring for SQL models, and makes acceptable alterations to entry course selections.
  • There are also various user interfaces that supply the administrator visibility to the popularity of the accumulated SQL remark efficiency statistics and mannequin scoring.

    abstract

    IBM's computer getting to know for zOS (MLz) offering is being used to remarkable impact in Db2 edition 12 to enrich the performance of analytical queries in addition to operational queries and their linked functions. This requires administration attention, as you have to assess that your company is ready to devour these ML and AI conclusions. How will you measure the charges and benefits of using computing device researching? Which IT support body of workers have to be tasked to reviewing the influence of model scoring, and perhaps approving (or overriding) the effects? How will you overview and justify the assumptions that the utility makes about entry path decisions?

    In different phrases, how well do you know your facts, its distribution, its integrity and your existing and proposed access paths? this can determine where the DBAs spend their time in helping analytics and operational utility performance.

    # # #

    Reference 1

    John Campbell, IBM Db2 distinguished EngineerFrom "IBM Db2 AI for z/OS: raise IBM Db2 application performance with computer discovering"https://www.worldofdb2.com/activities/ibm-db2-ai-for-z-os-boost-ibm-db2-software-efficiency-with-ma

    Reference 2

    Db2 AI for z/OShttps://www.ibm.com/aid/knowledgecenter/en/SSGKMA_1.1.0/src/ai/ai_home.html

    See all articles by means of Lockwood Lyon


    IBM Launches 'massive facts' Bootcamps in Universities | killexams.com Real Questions and Pass4sure dumps

    Supercomputing | news

    IBM Launches 'big statistics' Bootcamps in Universities
  • by way of Dian Schaffhauser
  • 03/10/eleven
  • Now that Watson has had its latest resurgence of repute and appeared as a excellent trending subject on both Google and Twitter, IBM is set to reveal college students the way to use the underlying technologies of the supercomputer. In a push called "huge data," the company will promote bootcamps on assistance administration of large quantities of statistics through college areas, IBM innovation facilities, and on-line.

    The camps, that are free, will closing from three to 5 days and take place in classroom settings. anyway students, the company has invited IT authorities to take part. at the conclusion of classes, individuals will have the probability to take free technical mastery tests and IBM certification assessments.

    Bootcamp sessions will cover discrete areas, together with the use of IBM records administration utility akin to DB2, pureXML, Informix, InfoSphere Optim and Guardium, and open source applications Hadoop and Eclipse. college students will obtain training in administration and evaluation capabilities for massive records environments, together with statistics federation, integration, and warehousing options, in addition to facts administration planning, and facts governance, high-quality and protection concepts.

    the new initiative follows on IBM's Watson Jeopardy! victory, the place the computing device showed how synthetic intelligence can work within the actual world (at least in the actual world of a online game show). The system consists of 90 clustered IBM power 750 express servers, a mighty build-up of hardware that may pick via 500 gigabytes of information a 2nd.

    however IBM stated that as greater businesses circulation to an identical programs to address their large records challenges, a skills gap is surfacing.

    "groups are collecting as much as petabytes of suggestions all through peak hours of operations, and that they see an opportunity to make use of this records to benefit new insights into their consumers and get forward of the competitors," observed Arvind Krishna, commonplace manager of IBM assistance management. "Uncovering insights hidden amongst records in existing IT methods, and outside of the firewall in social networks, on clouds, and from cell gadgets, requires brand new IT specialists to own new potential."

    Mahatma Gandhi Mission's school of Engineering & technology in India these days launched campus workshops on DB2 for its engineering college students and faculty. at the moment, greater than 600 students and faculty individuals are certified and educated on IBM technologies.

    "IBM is bringing real world industry adventure to students to retain them in touch with rising technologies and IT tendencies similar to massive statistics," observed Professor Nareshkumar Harale, head of laptop Engineering. "When universities and organizations collaborate, they build the next generation of expert information technology leaders to create new opportunities, fuel financial increase and solve challenges that can enrich the way we are living."

    in regards to the author

    Dian Schaffhauser is a senior contributing editor for 1105 Media's training publications THE Journal and Campus expertise. She may also be reached at dian@dischaffhauser.com or on Twitter @schaffhauser.


    scientific Trial administration system market scrutinized in new research | killexams.com Real Questions and Pass4sure dumps

    proper gamers in medical trial management market are Oracle (US), Medidata options (US), PAREXEL (US), Bioclinica (US), Bio-Optronics (US), & IBM (US). scientific trial administration device market research analyze includes extensive use of secondary sources, directories, & databases (like Dun & Bradstreet, Bloomberg company, & Factiva), to establish and assemble tips constructive for this technical, market-oriented, & fiscal study of market.

    global scientific trial administration gadget market is segmented into internet-primarily based (on-demand), licensed business (on premise), and cloud-primarily based (SaaS) segments. Cloud-based (SaaS) segment is estimated to witness highest growth all over forecast length, primarily due to rising adoption of cloud-primarily based options in clinical analysis reports because of quite a few merits provided by them like cost-efficient, high security, privateness, & convenient accessibility from any gadget.

    record at www.reportsnreports.com/contacts/r….aspx?identify=126572 .

    Geographically, the CTMS market is segmented into North the us, Europe, Asia Pacific (APAC), and the rest of the world.

    The APAC market is anticipated to register the maximum growth cost all over the forecast period. expanding government funding to assist scientific trials, the presence of less stringent regulatory guidelines as in comparison to developed nations, a large affected person base, quicker expense of affected person recruitment for scientific trials than mature countries, low operating expenses for conducting medical trials.

    clinical Trial administration programs Market, through classification

    6.1 Introduction

    6.2 business CTMS

    6.3 site CTMS

    clinical Trial administration programs Market, through start Mode

    7.1 Introduction

    7.2 net-based mostly (Hosted) CTMS

    7.three Licensed commercial enterprise (On Premise) CTMS

    7.four Cloud-primarily based (SaaS) CTMS

    clinical Trial management device Market, by element

    eight.1 Introduction

    eight.2 Softwares

    8.three services

    medical Trial management system Market, by means of conclusion user

    9.1 Introduction

    9.2 Pharmaceutical and Biopharmaceutical organizations

    9.2.1 massive Pharmaceutical businesses

    9.2.2 Mid-Small Pharmaceutical organizations

    9.three Contract research groups

    9.four scientific machine agencies

    9.5 other conclusion users

    scientific Trial administration systems Market, with the aid of region

    10.1 Introduction

    10.2 North the us

    10.2.1 US

    10.2.1 Canada

    10.3 Europe

    10.three.1 Germany

    10.3.2 UK

    10.3.3 France

    10.three.four leisure of Europe (RoE)

    10.four Asia Pacific

    10.4.1 China

    10.4.2 Japan

    10.4.3 India

    10.4.four relaxation of Asia Pacific

    10.5 relaxation of the area (RoW)

    report at  https://www.reportsnreports.com/.aspx?name=126572 .

    medical trial management system market is projected to reach USD 1,065.6 million with the aid of 2022 from USD 590 Million in 2017, at a CAGR of 12.6%. most important elements driving increase of CTMS market encompass the expanding partnerships between biopharma businesses and CROs, rising number of ongoing clinical trials, rising govt funding & gives you to guide scientific trials, availability of superior CTMS solutions, and turning out to be client base for CTMS solutions.

    Key target audience:

  • Healthcare IT provider suppliers
  • Pharmaceutical/biopharmaceutical groups
  • clinical research companies
  • analysis and building (R&D) companies
  • clinical device companies
  • enterprise analysis and consulting carrier providers
  • academic medical facilities/universities/hospitals
  • record: https://www.reportsnreports.com/contacts/.aspx?identify=126572 .

    evaluation-business trends, clinical trial management gadget market ranking of properly avid gamers, & enterprise profiles, which together form basic views & analyze aggressive panorama, emerging segments of CTMS market, & excessive-increase regions & drivers, restraints, challenges, & alternatives. report will support each dependent businesses & new entrants/smaller firms to gauge pulse of market & more advantageous market shares.

    goals of the look at are:

  • To outline, describe, section, & forecast clinical trial management programs market through class, beginning mode, component, conclusion user, & region.
  • To supply specified suggestions involving primary elements influencing boom of global CTMS market (drivers, restraints, opportunities, & challenges).
  • To strategically analyze the micromarkets1 with recognize to individual growth trends, potentialities, and contributions to the full market.
  • to investigate the increase alternatives in market for stakeholders and provide details of the aggressive landscape for market leaders.
  • To forecast the market cost of market segments with admire to the four key regions, specifically, North the usa (US, and Canada), Europe (Germany, UK, France and RoE), Asia Pacific (China, Japan, India and RoAPAC), and the leisure of the world.
  • To profile the important thing gamers within the global CTMS market and comprehensively analyze their market rank and core competencies2.
  • To music and analyze aggressive tendencies akin to product launches and enhancements; partnerships, agreements, and collaborations; mergers and acquisitions; and expansions within the world scientific trial management gadget market.
  • This email handle is being covered from spambots. You want JavaScript enabled to view it.


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    IBM Launches 'Big Data' Bootcamps in Universities | killexams.com real questions and Pass4sure dumps

    Supercomputing | News

    IBM Launches 'Big Data' Bootcamps in Universities
  • By Dian Schaffhauser
  • 03/10/11
  • Now that Watson has had its latest resurgence of fame and appeared as a top trending topic on both Google and Twitter, IBM is about to show college students how to use the underlying technologies of the supercomputer. In a push called "Big Data," the company will promote bootcamps on information management of massive amounts of data through university locations, IBM innovation centers, and online.

    The camps, which are free, will last from three to five days and take place in classroom settings. Besides students, the company has invited IT professionals to participate. At the end of sessions, participants will have the chance to take free technical mastery tests and IBM certification exams.

    Bootcamp sessions will cover discrete areas, including the use of IBM data management software such as DB2, pureXML, Informix, InfoSphere Optim and Guardium, and open source applications Hadoop and Eclipse. Students will receive lessons in management and analysis skills for big data environments, including data federation, integration, and warehousing techniques, as well as data management planning, and data governance, quality and security strategies.

    The new initiative follows on IBM's Watson Jeopardy! victory, where the computer showed how artificial intelligence can work in the real world (at least in the real world of a game show). The system consists of 90 clustered IBM Power 750 Express servers, a potent build-up of hardware that can pick through 500 gigabytes of information a second.

    But IBM said that as more organizations move to similar systems to handle their big data challenges, a skills gap is surfacing.

    "Companies are amassing up to petabytes of information during peak hours of operations, and they see an opportunity to use this data to gain new insights into their customers and get ahead of the competition," said Arvind Krishna, general manager of IBM Information Management. "Uncovering insights hidden among data in existing IT systems, and outside of the firewall in social networks, on clouds, and from mobile devices, requires today's IT professionals to possess new skills."

    Mahatma Gandhi Mission's College of Engineering & Technology in India recently launched campus workshops on DB2 for its engineering students and faculty. Currently, more than 600 students and faculty members are certified and trained on IBM technologies.

    "IBM is bringing real world industry experience to students to keep them in touch with emerging technologies and IT trends such as big data," said Professor Nareshkumar Harale, head of Computer Engineering. "When universities and businesses collaborate, they build the next generation of skilled information technology leaders to create new opportunities, fuel economic growth and solve challenges that can improve the way we live."

    About the Author

    Dian Schaffhauser is a senior contributing editor for 1105 Media's education publications THE Journal and Campus Technology. She can be reached at dian@dischaffhauser.com or on Twitter @schaffhauser.


    HD Encoding Platform promotes workflow efficiency. | killexams.com real questions and Pass4sure dumps

    Press Release Summary:

    Along with support for AVC, VC-1, and MPEG-2 stream creation, CineVision(TM) v2.5 features image processing filter-set from Digital Vision, adaptive-quantization controls, and parameter accessibility for segment re-encoding. Solution supports switching between multiple re-encoded versions and is capable of outputting format-compliant streams for BD and HD DVD. Also available, CineVision SD offers image control for encoding standard definition MPEG-2 for DVD-Video format.

    Original Press Release: Sonic Unveils CineVision 2.5

    Powerhouse Encoding System Expands High-Definition Image Controls, Content Prep Efficiency and Adds New SD Version for DVD-Video Production

    NOVATO, Calif., Sept. 6 -- Sonic Solutions(R) (NASDAQ:SNIC), the leader in digital media software, today unveiled CineVision(TM) 2.5, a significant upgrade to the company's Hollywood-standard high-definition encoding platform. The only encoder to support AVC, VC-1, and MPEG-2 stream creation in one system, CineVision Version 2.5 was developed based on direct feedback from leading Hollywood image-quality experts. The latest version introduces an impressive list of powerful technical enhancements including an expanded image processing filter-set from Emmy(R)-award winning tools provider Digital Vision, extensive adaptive-quantization controls, an accelerated first-pass encoding mode that reduces encoding times by as much as 25%, and greater parameter accessibility for segment re-encoding. Also new with CineVision 2.5 is the debut of CineVision SD which offers powerful image control for encoding standard definition MPEG-2 for the DVD-Video format.

    "CineVision represents an overwhelming quality and value proposition for us because of its unrivaled ability to deliver the consistent image quality results our customers expect," said Laurent Jaconelli, President of Mastery International Pictures in Paris, France. "The improvements and new capabilities built into the CineVision 2.5 upgrade demonstrate Sonic's ongoing commitment to serving our needs by making great products even better."

    CineVision 2.5 adds considerable power to Sonic's already market-proven high-definition encoding system and sets a new standard for image control and workflow efficiency. Capable of outputting format-compliant streams for both BD and HD DVD from a single encode and workstation, CineVision provides a significant productivity boost by cutting encode time and cost by 50% for dual-format releases. CineVision enables intricate fine-tuning by re-encoding individual segments with optimized parameters, and supports switching between multiple re-encoded versions so the compressionist may select a favorite. CineVision also provides a comprehensive post-encode QC toolset with professional features such as HD-SDI output to professional monitors, and a timeline-based display of encode information.

    "CineVision 2.5 is a clear representation of Sonic's ability to listen to the industry's needs and refine an already proven and productive system," said Sam Orton-Jay, senior product manager for Sonic's professional encoding products. "The latest version not only helps ensure the highest image quality results for content owners, but also drives the efficiencies facility owners need as they initiate their investment into high-definition content preparation systems."

    CineVision 2.5 is included with Sonic's industry-standard Scenarist(R) Workgroup, a comprehensive collection of interoperable applications that enable major motion picture studios and professional authoring facilities to efficiently encode, author, and proof commercial Blu-ray Disc and HD DVD titles for packaged media release that take full advantage of advanced interactivity and high-definition video. In addition to CineVision, Scenarist Workgroup includes Scenarist BD Edition and Scenarist HD DVD Edition, Sonic's professional authoring solutions for standard and advanced content creation, and Scenarist Designer PS for streamlined HD DVD and BD menu creation.

    CineVision 2.5 will be available later this month through Sonic's resale channels worldwide, and is being demonstrated at IBC (Stand 7.730), September 7th to the 11th, Amsterdam, The Netherlands.

    About Sonic's Professional Products Group

    Sonic's Professional Products Group (PPG) develops authoring and encoding systems used in the release of a wide variety of video entertainment including major motion pictures on DVD-Video, DVD-ROM, HD DVD, and Blu-ray disc. Sonic's world-renowned Scenarist(R) authoring and CineVision(TM) video and audio encoding systems are intended for highly skilled professional content creation facilities including high-end authoring and design houses, major motion picture studios, and disc replicators. Sonic's Professional Products Group is actively involved in the development and implementation of new entertainment standards and formats.

    About Sonic Solutions

    Sonic Solutions (Nasdaq: SNIC; www.sonic.com/) enables the creation, management, and enjoyment of digital media content through its Hollywood to Home(TM) products, services, and technologies. Sonic's products range from the advanced authoring systems used to produce Hollywood DVD, HD DVD, and Blu-ray Disc film releases to the award-winning Roxio(R)-branded photo, video, music, and digital-media management applications. Sonic's patented technologies and AuthorScript(R) media engine are relied upon by leading technology firms to define rich media experiences on a wide array of consumer electronics, mobile devices, set-top players, retail kiosks, and PCs. Always an innovator, Sonic has taken a leading role in helping professional and consumer markets make the successful transition to the new high-definition media formats and, through the DVD On Demand(TM) and Qflix(TM) platforms, Sonic is defining new models for the digital distribution of premium Hollywood entertainment. Sonic Solutions is headquartered in Marin County, California.

    Sonic, the Sonic logo, Sonic Solutions, AuthorScript, Sonic DVD On Demand, Qflix, Hollywood to Home, Scenarist, CineVision, and Roxio are trademarks or registered trademarks of Sonic Solutions or its subsidiaries in the United States and/or other countries. All other company or product names are trademarks of their respective owners and, in some cases, are used by Sonic Solutions under license.

    CONTACT: Chris Taylor of Sonic Solutions, +1-408-367-5231, chris_taylor@sonic.com

    Related Thomas Industry Update Thomas For Industry

    Man v’s Machine: What’s the point of human spaceflight? | killexams.com real questions and Pass4sure dumps

    Expedition 45/46 crew Tim Kopra, Yuri Malenchenko and Tim Peake in front of Soyuz simulator. Credits: UKSA-M. Alexander Tim Peake dressing up in the Sokol suit for Soyuz exams at Star City. Credits: UKSA-M. Alexander

    On 12 April 1961 Major Yuri Gagarin became the first human to orbit the Earth. Since then a further 532 people have done so. This week, almost 55 years later the first British European Space Agency (ESA) astronaut, Tim Peake, becomes the 533 person to do so.

    In 2012 it was announced that the UK had made a “one-off” payment to ESA’s human spaceflight programme of €20 million, plus a further payment of €16 million to related human spaceflight activities over a four year period to secure Tim Peake’s flight to the space station. In return for this payment UK industry would gain access to contracts for the development of the European Service Module of NASA’s new Orion module, which Europe is developing in a barter agreement with the USA.

    In 2014 the UK made a further one-off payment of approximately €70 million to the space station programme. Thus actually securing Tim Peake’s flight to the space station.

    Exploration is a cultural phenomenon that has been shaped over millennia. Exploration is done by humans. Explorers are brave idols, gaining fame and endorsed by royalty. Explorers return with treasure and tales of the amazing. Exploration creates wealth. So why should space be any different?

    In recent decades exploration has become increasingly robotic with the emergence of remotely piloted and even autonomous aerial, underwater, and of course, space vehicles. Spaceflight has spanned this transition. So, with the UK spending almost €90 million for Tim Peake’s stay on the International Space Station it seem reasonable to ask what the point of human spaceflight is today.

    We can describe the evolution of robotic spaceflight through three key phases, from pioneering engineering, to sustained mastery, and finally to diminishing returns.

    In the late 19th century pioneers like Tsiolkovsky, who became known as the Father of Cosmonautics, start to think about space travel. Shortly afterwards engineers like Goddard, Oberth, and van Braun started to experiment with rockets. This is the start of the pioneering engineering phase, which continued through to the start of the Space Age and the launch of the 1st spacecraft, Sputnik-1, and the numerous firsts that followed it.

    First communications spacecraft (December 1958: Project SCORE), first spacecraft at another celestial body (September 1959: Luna-2 at the moon), the first interplanetary spacecraft (March 1960: Pioneer-5), the first weather spacecraft (April 1960: TIROS-1), and the first spacecraft at another planet (August 1962: Mariner-2 at Venus). This images shows a comparison an image taken by TIROS-1 and the same region imaged by NOAA-15

    The pioneering engineering phase was over by the mid-1960’s, when we were able to not only launch spacecraft but place them into orbits that best suited our need.

    Since the mid-1960’s we have been seeking sustained mastery of robotic spacecraft. For example, with direct-to-home television services and sustained solar system exploration. We have established an equivalent of our terrestrial utilities in orbit, with spacecraft providing communication and navigation services to other spacecraft.

    By August 1989 we had sent a spacecraft to every planet in the solar system. We have since changed the definition of a planet to make this true, but in July of this year we finally sent a spacecraft past Pluto . In July 1997 we landed our first rover on Mars, and in March 2011 we put a spacecraft into orbit around Mercury — an immensely challenging engineering feat.

    At some point within the last decade, I would argue, we achieved sustained mastery of robotic spaceflight. Putting a spacecraft into orbit around Mercury and landing Philae on a comet must be accepted as evidence that, if we choose to, we can put a spacecraft anywhere we want within our solar system. Indeed, as if to prove how accessible space has become in November 2013 an American high school launch the first spacecraft designed, built and now operated by school children.

    Yuri Alekseyevich Gagarin

    Returning to human spaceflight we can consider its maturity using the same analogy. Once again, it begins in the late 19th century with pioneers like Tsiolkovsky. In 1947 the first living things, fruit flies, are briefly sent into space without orbiting the Earth on-board an American V2 rocket. They were recovered alive. In 1949 the first primate, a Rhesus monkey, is similarly sent into space by the Russian’s. In 1957 Laikia, a dog, becomes the first animal to orbit the Earth on-board Sputnik-2. It was a suicide mission. In 1960 Sputnik-5 is the first to return animals from orbit, and the following year Gagarin becomes the first human in space, and to orbit the Earth.

    On 5 May 1961 Alan Shepard became the first American in space, he didn’t orbit the Earth. Yet, only 20 days later President Kennedy announced the Apollo programme that would send America to the Moon. At this point it is arguable whether the Russian’s had moved beyond the pioneering phase of human spaceflight, the American’s certainly hadn’t.

    President Kennedy delivers his proposal to put a man on the Moon before a joint session of Congress

    Apollo was too early, it forced the US to develop a niche capability without the underpinning broader knowledge. Today the American space programme is still paying the price.

    The main objective of the Apollo programme, as with the International Space Station that followed, was foreign affairs and geopolitics, not space exploration. In the era of the Cold War this is what human spaceflight was for, to sway non-aligned nations and show your own how superior we were. The Apollo programme was a master stroke in this regard. At the time the US was lagging behind the Soviets, who were racking up all the human spaceflight firsts. Under pressure to reverse this the US realised that with the momentum the Soviets had they could only do so by re-setting the race, requiring the Soviets to also start again from scratch.

    Fear was used to justify the expense; the American public were told, amongst other things, the Russian’s would “launch nukes from the Moon” despite that being an awful option. And today fear is still used by some to justify human spaceflight. Today it’s mostly fear of human or cosmic actions, and belief that humans need to become a multi-planet species.

    Geopolitics is still being used. Mostly by a second wave of emerging nations, led by China. However I’m sure the UK government will be glad to lose its status as the only country of the G8 industrialized nations not to have put an astronaut on the International Space Station.

    So what is the point of human spaceflight?

    Well, as already said it is still used to advanced foreign policy and geopolitics. The International Space Station was a key part of President Reagan’s foreign policy when he directed NASA to build one “within a decade” in his January 1984 State of the Union address. And of course, the Chinese human spaceflight programme, indeed the entire Chinese space programme, has overt geopolitical aims. But almost no government would ever openly admit this.

    Photograph of President Reagan giving the 1984 State of the Union Address to Congress

    In Reagan’s address he talked of demonstrating technical leadership, yes, and building on “America’s pioneer spirit…” But he also talked of the advances in science and engineering, and the associated economic value. Stating that “the market for space transportation could surpass our capacity to develop it.”

    So what is the point of human spaceflight today?

    Well, that depends on who is paying, and there are three possible funders. The first of these, and as yet the only to not have funded human spaceflight, is non-governmental organisations, i.e. charities, religions, etc. These could fund human spaceflight to advance a cause or a belief, including education, and would be similar to the pilgrims going to the ‘New World’ on-board the Mayflower.

    The second is private commerce, who will fund it in return for profit. And of course the third is government, who will fund it due to geopolitics, for the advancement of knowledge, and for economic return, including education.

    Some people today would argue that the advancement of knowledge for the sake of knowledge itself is, as with geopolitical funding of spaceflight, a thing of the past. Meaning that advancement of knowledge must show an impact, which broadly speaking means it must have an economic value — meaning a business case is required.

    It is then no surprise that the UK government didn’t build the business case for Tim Peake’s flight on geopolitics but instead on both the advancement of knowledge leading to economic impact, and education.

    ESA astronaut Tim Peake in his Sokol suit he will wear on launch day

    Space is inhospitable, much more so than the worst parts of Earth. Unlike terrestrial exploration, we don’t expect to find food, water, and other useful resources when we arrive. Meaning a single person needs a minimum of 31 kg per day of supplies, or 11.3 tonnes per year. This, together with the safety requirements makes human spaceflight far more expensive than its robotic equivalent. And so the added expense of humans over robots must be justified.

    Advancing knowledge, that is, the traditional academic pursuits of astronomy, planetary, and space science, and so forth, does not appear to need human spaceflight. Unless of course the human is the research subject. Indeed for most forms of research the human will hinder the research, for example creating the sorts of disturbances that you go into space to avoid.

    Educational outreach, and inspiring the next generation of engineers and scientist has also emerged as a key justification for the UK’s involvement in human spaceflight.

    There is no doubt that generating the required number of scientist and engineers to support our economy in the future is one of the great challenges of our age. There is also no doubt that space holds an unrivalled attraction as a recruitment tool for children to science and technology. And, there is no doubt that Tim Peake is, and will continue to be a fantastic ambassador for the space sector.

    But, can we really say that robotic spaceflight cannot achieve something similar? Did the Philae lander not generate massive global engagement? If we spent €90 million on educational outreach for robotic spaceflight could we not achieve just as much as having an astronaut?

    And worse than that. The public often think space is just human spaceflight, completely missing the massive economic value to our economy that it provides. Around 110 000 jobs in the UK are dependent on the space sector, and it generates over £12 billion a year for the economy.

    We use space to track crop yields, to tackle illegal fishing in our sea and logging in our forests. We use space to track icebergs in the oceans and to provide disaster management and recovery mapping services. Does investing €90 million in human spaceflight not risk losing the true value of space?

    Under the Copernicus Emergency Management Service, ESA coordinated the collection of optical satellite imagery following the earthquake that struck Nepal on 25 April 2015. The satellite imagery is then used to create maps to support relief efforts, such as this ‘grading map’ of Kathmandu showing topographic features and crisis information. The map is based on imagery from the WorldView-3 satellite acquired on 28 April. So for a final time, what is the point of human spaceflight?

    It’s common for governments to seed new commercial sectors. Commercial robotic spaceflight built on significant government investment. Inmarsat, the space telecommunications company, started as a not-for-profit by the International Maritime Organization, a UN body. It joined the London Stock Exchange’s premier listing, the FTSE-100, in June of this year. The Global Positioning System, GPS, was funded and developed by the US military. By 2011 various estimates place 6–10 % of our GDP as being dependent on it; that is more than €800 billion in the European Union a year. That means if we turn off GPS it will cause a bigger economic downturn than that caused by the recent banking crisis! Space-based Earth observation was funded initially by governments, the global commercial data market was $2.3 billion in 2014 and it is expected to reach $4.5 billion by 2024.

    The International Space Station on 23 May 2011

    Returning to human spaceflight, it needs to complete its development cycle. We need to seek sustained mastery of human spaceflight, both its technical and political challenges.

    It could be argued via the International Space Station and its predecessors, both the US and Russia, and to a lesser extent Europe and Japan, have with regard to the technical challenges of human spaceflight in low-Earth orbit already achieved this to some level. The station has after all been continuously inhabited for over 15 years.

    But equally it could be argued that the US, and to some extent Europe and Japan, have failed to move beyond the pioneering phase with regard to the politics of human spaceflight. For example, due to political interference NASA spent four years developing a test tower for a rocket to launch humans into space that they had already cancelled work on. The tower cost $349 million and was moth-balled on completion in 2014. It will cost $700 thousand a year to maintain it in this moth-balled state.

    The rationale for human spaceflight has become confused, yet in some regards all spaceflight is already human spaceflight. Without the operations team we would have no spaceflight.

    ESA’s satellite operations control facilities include the Main Control Room at ESOC in Darmstadt, Germany (shown here), dedicated control rooms for specific missions and ESTRACK the worldwide ground tracking station network.

    Human spaceflight needs to be in support of robotic spaceflight, not the other way around. Operating a rover on Mars is challenging, flying an aerial vehicle would be even more so. But why have that operations team on Earth? Human spaceflight should be analogous to working on an oil rig or an artic base. At the same time putting a space station in orbit around Mars, or beyond, to support such exploration is a multi-decade challenge that requires a multi-decade vision.

    Today we couldn’t move the operations team into space. But, in September of this year the Danish European Space Agency astronaut Andreas Mogensen controlled a robot on Earth from the space station. And, Tim Peake will continue this work during his stay on the station, operating a rover in Stevenage, England.

    The Interact Centaur Rover, designed and manufactured by the ESA Telerobotics & Haptics Lab, approaching a task board to demonstrate a mechanical assembly task though teleoperation from space to ground, on 28 August 2015.

    We need to learn how to live and work in space. But the idea that we need somewhere to go to do this is from another era. We have somewhere, it’s called the International Space Station and it will take at least another decade before we can be confident we understand the effects of the space environment on humans, and how to safely live and work in it.

    Reagan was right in his 1984 State of the Union address when he said “space holds enormous potential for commerce today”. A truth that has been borne by the commercial success of robotic spaceflight. But will our politicians be able to gain the sustained mastery of the politics to allow humanity the time to learn how to safely live and work in space? Or, will the next change of government, or even minister bring the next change of priority as it has so often in the past in the space sector and beyond? How can we as a society expect politicians to take a multi-decade perspective when they could be unemployed in five years because we ourselves so often fail to do so?

    So what is the future of human spaceflight? Scott Kelly and Kjell Lindgren on the International Space Station tasting the 1st food grown, harvested and eaten in space in August 2015

    It should be to develop a sustained mastery of the environment. It should be in low-Earth orbit as it provides a convenient harbour.

    It should be humans in support of machines, hopefully not always on Earth, with machines doing the dull, the dirty and the dangerous. But of course, don’t forget the wildcard potential of geopolitics…



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