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000-N18 IBM Information Management DB2 10 Technical Mastery Test v3

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000-N18 exam Dumps Source : IBM Information Management DB2 10 Technical Mastery Test v3

Test Code : 000-N18
Test denomination : IBM Information Management DB2 10 Technical Mastery Test v3
Vendor denomination : IBM
exam questions : 35 true Questions

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IBM IBM Information Management DB2

IBM updates InfoSphere and DB2 at tips on exact | killexams.com true Questions and Pass4sure dumps

IBM unveiled a brand newfangled version of its flagship statistics integration product -- IBM InfoSphere tips Server 8.5 -- at its assistance on exact conference remaining week in Las Vegas. large Blue too took the wraps off the latest version of its mainstay database management device, IBM DB2.

SearchDataManagement.com turned into at the conference and sat down with Bernie Spang, IBM’s director of information administration product approach, to accumulate greater particulars about the newfangled releases. Spang talked about the heritage of InfoSphere information Server and DB2’s newfangled capabilities, and he explained one of the most reasons why IBM is so drawn to acquiring facts warehouse appliance dealer Netezza. listed below are some excerpts from that dialog:

could you supply me a brief history lesson on the IBM InfoSphere product line?

Bernie Spang: It in reality has multifaceted origins. The records stage and first-class stage, cleansing and ETL capabilities advance from the Ascential acquisition a brace of years ago. The federation and replication capabilities that are a fraction of InfoSphere assistance Server hold a heritage back in IBM below diverse names at diverse instances.

What are probably the most newfangled capabilities in InfoSphere suggestions Server eight.5?

Spang: one of the unique things concerning the InfoSphere assistance Server is the utensil set that comes along with it for accelerating the production of integration jobs, in addition to newfangled quickly-music capabilities and newfangled industry thesaurus capabilities [that] enable the collaboration between enterprise and IT on what the that means of data is and how it flows together.

what's the brand newfangled InfoSphere Blueprint Director?

Spang: That offers users the capacity to trap the greatest practices for designing and edifice and laying out an integration job to subsist confident that you’re definitely in keeping with enterprise wants and too you’re pulling the revise suggestions collectively unless they’re in the approach. It’s another layer of collaboration that we’ve constructed into the product, and it enables users to notice the first-class metrics linked to each piece of records as it moves during the procedure.

What does Blueprint Director study dote to the halt person?

Spang: It’s a visible atmosphere the belt you’re laying out the combination and too you’re defining it after which you could expend the speedy-tune skill to generate the ETL jobs. It’s that visible toolset for defining your integration task. And it ties with the company glossary, where the enterprise users and IT are agreeing on the definition of terms.

What elements hold you brought within the newfangled edition of DB2?

Spang: IBM DB2 version 10 is a newfangled product that we’re providing this week. [It offers] out-of-the-field efficiency improvements up to 40% for some workloads [and] more desirable scalability. The different piquant component is a brand newfangled capability that we’re calling DB2 time commute query – the capability to question guidance in the present, in the past and sooner or later. in case you’ve loaded counsel, dote newfangled pricing information for subsequent quarter, you can achieve queries as if it had been subsequent quarter. you probably hold company agreements or guidelines that are over a term, that you could achieve queries sooner or later and base it on how the guidelines could subsist in repercussion at that time. companies already achieve that today, however generally with the aid of writing utility code. by way of pushing it down into the database application, we’re significantly simplifying the manner and drastically cutting back the quantity of code.

IBM is within the manner of buying Westboro, Mass.-based records warehouse outfit vendor Netezza and its box programmable gate array processor expertise. What precisely is the cost of this know-how?

Spang: Processing pace is accomplishing the laws of physics [in terms of its] faculty to continue to grow, whereas on the equal time the deserve to manner more assistance and achieve extra transactions is transforming into unabated. So how achieve you accumulate these subsequent-generation efficiency improvements? you set the items together and tremendously optimize them for particular workloads. That means you exigency to hold the utility optimized for the hardware even All the way down to the processor degree. The container programmable gate array means that you can truly application at a chip degree, [and that leads to] a all lot more advantageous speeds than having it written in application running on a standard-intention processor.


IBM Ships latest Mainframe Transaction Server | killexams.com true Questions and Pass4sure dumps

Dec 17, 2018

IBM has announced the liberate of CICS Transaction Server for z/OS, version 5 release 5, with points meant to enable development groups to create blended-language applications while allowing operational groups to manage these purposes from a single component of control.

fresh investments in Java Platform, commercial enterprise edition (Java EE) and Eclipse MicroProfile assist permit CICS TS customers "to achieve greater with their application platform than ever earlier than," in keeping with an IBM statement.

CICS TS V5.5 provides modernized points, corresponding to assist for JavaScript Node.js purposes. Node.js is a server-side runtime for applications that are written in JavaScript. Designed to subsist lightweight, efficient, and top-quality acceptable for information-intensive purposes, Node.js purposes are customarily experience-driven, single-threaded, and technique requests in a non-blocking manner to achieve tall throughput.

The newest unencumber additionally comprises aid for including commonplace configuration in JVM servers. a brand newfangled JVM profile directive consist of is given that loads extra configuration from another file. The file may additionally hold configuration assistance it's accustomed to a brace of JVM profiles, reminiscent of security, logging, timeout settings, or database driver configuration and shared debug controls. in addition, a brand newfangled JVM profile alternative LIBERTY_INCLUDE_XML is given that makes it workable for Liberty to load shared configuration. This makes it less demanding to manage, clone, and control OSGi and Liberty JVM servers.

additionally, an superior CICS Explorer offers more ability. the newfangled unlock additionally includes advancements in techniques management, and stronger protection.

The unencumber additionally comprises device management developments that assist better manage and possession. CICS TS V5.5 supplies newfangled coverage system suggestions that allow users, who are looking to display screen the condition of system elements or the accustomed health of a CICS device, to silhouette gadget guidelines in CICS policies. With the introduction of data for policy suggestions, CICS now collects useful resource facts for each rule that is described in a policy, and components a abstract record.

The CICSPlex gadget administration (CICSPlex SM) exploitation of the workload manager (WLM) API is modified. a nil-health cost now capability that the utility-possessing location turns into non-selectable as a routing target. The management of Db2 threads that are used via CICS tasks and province to PURGE is superior.

"IBM is committed to a continuous birth roadmap for CICS TS, to carry accustomed updates in potential for All present releases," the industry additionally spoke of. many of the enhancements and features described during this fraction are available on CICS TS V5.four, or earlier, by using the general CICS TS provider channel and interminable dawn model.

Mainframe assist companies hold announced aid for the latest liberate of CICS, together with Compuware and Macro 4.

"CICS TS V5.5 promises purchasers technical innovation and improved enterprise value and comprises a significant number of enhancements which hold been requested through IBM user organizations,” mentioned Michelle Harris, client and Product features supervisor at Macro four. "probably the most many exciting newfangled aspects in CICS TS V5.5 is the aid for JavaScript Node.js, a server-facet runtime atmosphere for applications which are written in JavaScript, which is designed to deliver time savings to builders via its module-pushed, scalable strategy to software development. There are additionally enhancements to CICS Explorer which can subsist expected to simplify and better the consumer journey. Their application will work with the newfangled edition from day one so their clients can delivery seeing these advancements instantly."

For greater particulars, scamper here.


IBM Touts BLU Acceleration massive data expertise Now in DB2 | killexams.com true Questions and Pass4sure dumps

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000-N18 IBM Information Management DB2 10 Technical Mastery Test v3

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000-N18 exam Dumps Source : IBM Information Management DB2 10 Technical Mastery Test v3

Test Code : 000-N18
Test denomination : IBM Information Management DB2 10 Technical Mastery Test v3
Vendor denomination : IBM
exam questions : 35 true Questions

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Guide to vendor-specific IT security certifications | killexams.com true questions and Pass4sure dumps

Despite the wide selection of vendor-specific information technology security certifications, identifying which...

ones best suit your educational or career needs is fairly straightforward.

This steer to vendor-specific IT security certifications includes an alphabetized table of security certification programs from various vendors, a brief description of each certification and counsel for further details.

Introduction: Choosing vendor-specific information technology security certifications

The process of choosing the birthright vendor-specific information technology security certifications is much simpler than choosing vendor-neutral ones. In the vendor-neutral landscape, you must evaluate the pros and cons of various programs to select the best option. On the vendor-specific side, it's only necessary to succeed these three steps:

  • Inventory your organization's security infrastructure and identify which vendors' products or services are present.
  • Check this steer (or vendor websites, for products not covered here) to determine whether a certification applies to the products or services in your organization.
  • Decide if spending the time and money to obtain such credentials (or to fund them for your employees) is worth the resulting benefits.
  • In an environment where qualified IT security professionals can elect from numerous job openings, the benefits of individual training and certifications can subsist difficult to appraise.

    Many employers pay certification costs to develop and retain their employees, as well as to boost the organization's in-house expertise. Most notice this as a win-win for employers and employees alike, though employers often require plenary or partial reimbursement for the related costs incurred if employees leave their jobs sooner than some specified payback epoch after certification.

    There hold been quite a few changes since the last survey update in 2015. The Basic category saw a substantial jump in the number of available IT security certifications due to the addition of several Brainbench certifications, in addition to the Cisco Certified Network Associate (CCNA) Cyber Ops certification, the Fortinet Network Security Expert Program and newfangled IBM certifications. 

    2017 IT security certification changes

    Certifications from AccessData, Check Point, IBM and Oracle were added to the Intermediate category, increasing the total number of certifications in that category, as well. However, the number of certifications in the Advanced category decreased, due to several IBM certifications being retired. 

    Vendor IT security certifications Basic information technology security certifications 

    Brainbench basic security certificationsBrainbench offers several basic-level information technology security certifications, each requiring the candidate to pass one exam. Brainbench security-related certifications include:

  • Backup Exec 11d (Symantec)
  • Check Point FireWall-1 Administration
  • Check Point Firewall-1 NG Administration
  • Cisco Security
  • Microsoft Security
  • NetBackup 6.5 (Symantec)
  • Source: Brainbench Information Security Administrator certifications

    CCNA Cyber OpsPrerequisites: None required; training is recommended.

    This associate-level certification prepares cybersecurity professionals for work as cybersecurity analysts responding to security incidents as fraction of a security operations hub team in a large organization.

    The CCNA Cyber Ops certification requires candidates to pass two written exams.

    Source: Cisco Systems CCNA Cyber Ops

    CCNA SecurityPrerequisites: A cogent Cisco CCNA Routing and Switching, Cisco Certified Entry Networking Technician or Cisco Certified Internetwork Expert (CCIE) certification.

    This credential validates that associate-level professionals are able to install, troubleshoot and monitor Cisco-routed and switched network devices for the purpose of protecting both the devices and networked data.

    A person with a CCNA Security certification can subsist expected to understand core security concepts, endpoint security, web and email content security, the management of secure access, and more. He should too subsist able to demonstrate skills for edifice a security infrastructure, identifying threats and vulnerabilities to networks, and mitigating security threats. CCNA credential holders too possess the technical skills and expertise necessary to manage protection mechanisms such as firewalls and intrusion prevention systems, network access, endpoint security solutions, and web and email security.

    The successful completion of one exam is required to obtain this credential.

    Source: Cisco Systems CCNA Security

    Check Point Certified Security Administrator (CCSA) R80Prerequisites: Basic scholarship of networking; CCSA training and six months to one year of experience with Check Point products are recommended.

    Check Point's foundation-level credential prepares individuals to install, configure and manage Check Point security system products and technologies, such as security gateways, firewalls and virtual private networks (VPNs). Credential holders too possess the skills necessary to secure network and internet communications, upgrade products, troubleshoot network connections, configure security policies, protect email and message content, preserve networks from intrusions and other threats, dissect attacks, manage user access in a corporate LAN environment, and configure tunnels for remote access to corporate resources.

    Candidates must pass a single exam to obtain this credential.

    Source: Check Point CCSA Certification

    IBM Certified Associate -- Endpoint Manager V9.0Prerequisites: IBM suggests that candidates subsist highly familiar with the IBM Endpoint Manager V9.0 console. They should hold experience taking actions; activating analyses; and using Fixlets, tasks and baselines in the environment. They should too understand patching, component services, client log files and troubleshooting within IBM Endpoint Manager.

    This credential recognizes professionals who expend IBM Endpoint Manager V9.0 daily. Candidates for this certification should know the key concepts of Endpoint Manager, subsist able to characterize the system's components and subsist able to expend the console to discharge routine tasks.

    Successful completion of one exam is required.

    Editor's note: IBM is retiring this certification as of May 31, 2017; there will subsist a follow-on test available as of April 2017 for IBM BigFix Compliance V9.5 Fundamental Administration, Test C2150-627.

    Source: IBM Certified Associate -- Endpoint Manager V9.0

    IBM Certified Associate -- Security Trusteer Fraud ProtectionPrerequisites: IBM recommends that candidates hold experience with network data communications, network security, and the Windows and Mac operating systems.

    This credential pertains mainly to sales engineers who uphold the Trusteer Fraud product portfolio for web fraud management, and who can implement a Trusteer Fraud solution. Candidates must understand Trusteer product functionality, know how to deploy the product, and subsist able to troubleshoot the product and dissect the results.

    To obtain this certification, candidates must pass one exam.

    Source: IBM Certified Associate -- Security Trusteer Fraud Protection

    McAfee Product SpecialistPrerequisites: None required; completion of an associated training course is highly recommended.

    McAfee information technology security certification holders possess the scholarship and technical skills necessary to install, configure, manage and troubleshoot specific McAfee products, or, in some cases, a suite of products.

    Candidates should possess one to three years of direct experience with one of the specific product areas.

    The current products targeted by this credential include:

  • McAfee Advanced Threat Defense products
  • McAfee ePolicy Orchestrator and VirusScan products
  • McAfee Network Security Platform
  • McAfee Host Intrusion Prevention
  • McAfee Data Loss Prevention Endpoint products
  • McAfee Security Information and Event Management products
  • All credentials require passing one exam.

    Source: McAfee Certification Program

    Microsoft Technology Associate (MTA)Prerequisites: None; training recommended.

    This credential started as an academic-only credential for students, but Microsoft made it available to the general public in 2012.

    There are 10 different MTA credentials across three tracks (IT Infrastructure with five certs, Database with one and development with four). The IT Infrastructure track includes a Security Fundamentals credential, and some of the other credentials involve security components or topic areas.

    To win each MTA certification, candidates must pass the corresponding exam. 

    Source: Microsoft MTA Certifications

    Fortinet Network Security Expert (NSE)Prerequisites: Vary by credential.

    The Fortinet NSE program has eight levels, each of which corresponds to a sever network security credential within the program. The credentials are:

  • NSE 1 -- Understand network security concepts.
  • NSE 2 -- Sell Fortinet gateway solutions.
  • NSE 3 (Associate) -- Sell Fortinet advanced security solutions.
  • NSE 4 (Professional) -- Configure and maintain FortiGate Unified Threat Management products.
  • NSE 5 (Analyst) -- Implement network security management and analytics.
  • NSE 6 (Specialist) – Understand advanced security technologies beyond the firewall.
  • NSE 7 (Troubleshooter) -- Troubleshoot internet security issues.
  • NSE 8 (Expert) -- Design, configure, install and troubleshoot a network security solution in a live environment.
  • NSE 1 is open to anyone, but is not required. The NSE 2 and NSE 3 information technology security certifications are available only to Fortinet employees and partners. Candidates for NSE 4 through NSE 8 should hook the exams through Pearson VUE.

    Source: Fortinet NSE

    Symantec Certified Specialist (SCS)This security certification program focuses on data protection, tall availability and security skills involving Symantec products.

    To become an SCS, candidates must select an belt of focus and pass an exam. All the exams cover core elements, such as installation, configuration, product administration, day-to-day operation and troubleshooting for the selected focus area.

    As of this writing, the following exams are available:

  • Exam 250-215: Administration of Symantec Messaging Gateway 10.5
  • Exam 250-410: Administration of Symantec Control Compliance Suite 11.x
  • Exam 250-420: Administration of Symantec VIP
  • Exam 250-423: Administration of Symantec IT Management Suite 8.0
  • Exam 250-424: Administration of Data Loss Prevention 14.5
  • Exam 250-425: Administration of Symantec Cyber Security Services
  • Exam 250-426: Administration of Symantec Data hub Security -- Server Advanced 6.7
  • Exam 250-427: Administration of Symantec Advanced Threat Protection 2.0.2
  • Exam 250-428: Administration of Symantec Endpoint Protection 14
  • Exam 250-513: Administration of Symantec Data Loss Prevention 12
  • Source: Symantec Certification

    Intermediate information technology security certifications 

    AccessData Certified Examiner (ACE)Prerequisites: None required; the AccessData BootCamp and Advanced Forensic Toolkit (FTK) courses are recommended.

    This credential recognizes a professional's proficiency using AccessData's FTK, FTK Imager, Registry Viewer and Password Recovery Toolkit. However, candidates for the certification must too hold temper digital forensic scholarship and subsist able to interpret results gathered from AccessData tools.

    To obtain this certification, candidates must pass one online exam (which is free). Although a boot camp and advanced courses are available for a fee, AccessData provides a set of free exam preparation videos to assist candidates who prefer to self-study.

    The certification is cogent for two years, after which credential holders must hook the current exam to maintain their certification.

    Source: Syntricate ACE Training

    Cisco Certified Network Professional (CCNP) Security Prerequisites: CCNA Security or any CCIE certification.

    This Cisco credential recognizes professionals who are liable for router, switch, networking device and appliance security. Candidates must too know how to select, deploy, uphold and troubleshoot firewalls, VPNs and intrusion detection system/intrusion prevention system products in a networking environment.

    Successful completion of four exams is required.

    Source: Cisco Systems CCNP Security

    Check Point Certified Security Expert (CCSE)Prerequisite: CCSA certification R70 or later.

    This is an intermediate-level credential for security professionals seeking to demonstrate skills at maximizing the performance of security networks.

    A CCSE demonstrates a scholarship of strategies and advanced troubleshooting for Check Point's GAiA operating system, including installing and managing VPN implementations, advanced user management and firewall concepts, policies, and backing up and migrating security gateway and management servers, among other tasks. The CCSE focuses on Check Point's VPN, Security Gateway and Management Server systems.

    To acquire this credential, candidates must pass one exam.

    Source: Check Point CCSE program

    Cisco Cybersecurity SpecialistPrerequisites: None required; CCNA Security certification and an understanding of TCP/IP are strongly recommended.

    This Cisco credential targets IT security professionals who possess in-depth technical skills and scholarship in the province of threat detection and mitigation. The certification focuses on areas such as event monitoring, event analysis (traffic, alarm, security events) and incident response.

    One exam is required.

    Source: Cisco Systems Cybersecurity Specialist

    Certified SonicWall Security Administrator (CSSA)Prerequisites: None required; training is recommended.

    The CSSA exam covers basic administration of SonicWall appliances and the network and system security behind such appliances.

    Classroom training is available, but not required to win the CSSA. Candidates must pass one exam to become certified.

    Source: SonicWall Certification programs

    EnCase Certified Examiner (EnCE)Prerequisites: Candidates must attend 64 hours of authorized training or hold 12 months of computer forensic work experience. Completion of a formal application process is too required.

    Aimed at both private- and public-sector computer forensic specialists, this certification permits individuals to become certified in the expend of Guidance Software's EnCase computer forensics tools and software.

    Individuals can gain this certification by passing a two-phase exam: a computer-based component and a practical component.

    Source: Guidance Software EnCE

    EnCase Certified eDiscovery Practitioner (EnCEP)Prerequisites: Candidates must attend one of two authorized training courses and hold three months of experience in eDiscovery collection, processing and project management. A formal application process is too required.

    Aimed at both private- and public-sector computer forensic specialists, this certification permits individuals to become certified in the expend of Guidance Software's EnCase eDiscovery software, and it recognizes their proficiency in eDiscovery planning, project management and best practices, from legal hold to file creation.

    EnCEP-certified professionals possess the technical skills necessary to manage e-discovery, including the search, collection, preservation and processing of electronically stored information in accordance with the Federal Rules of Civil Procedure.

    Individuals can gain this certification by passing a two-phase exam: a computer-based component and a scenario component.

    Source: Guidance Software EnCEP Certification Program

    IBM Certified Administrator -- Security Guardium V10.0Prerequisites: IBM recommends basic scholarship of operating systems and databases, hardware or virtual machines, networking and protocols, auditing and compliance, and information security guidelines.

    IBM Security Guardium is a suite of protection and monitoring tools designed to protect databases and sizable data sets. The IBM Certified Administrator -- Security Guardium credential is aimed at administrators who plan, install, configure and manage Guardium implementations. This may involve monitoring the environment, including data; defining policy rules; and generating reports.

    Successful completion of one exam is required.

    Source: IBM Security Guardium Certification

    IBM Certified Administrator -- Security QRadar Risk Manager V7.2.6Prerequisites: IBM recommends a working scholarship of IBM Security QRadar SIEM Administration and IBM Security QRadar Risk Manager, as well as general scholarship of networking, risk management, system administration and network topology.

    QRadar Risk Manager automates the risk management process in enterprises by monitoring network device configurations and compliance. The IBM Certified Administrator -- Security QRadar Risk Manager V7.2.6 credential certifies administrators who expend QRadar to manage security risks in their organization. Certification candidates must know how to review device configurations, manage devices, monitor policies, schedule tasks and generate reports.

    Successful completion of one exam is required.

    Source: IBM Security QRadar Risk Manager Certification

    IBM Certified Analyst -- Security SiteProtector System V3.1.1Prerequisites: IBM recommends a basic scholarship of the IBM Security Network Intrusion Prevention System (GX) V4.6.2, IBM Security Network Protection (XGS) V5.3.1, Microsoft SQL Server, Windows Server operating system administration and network security.

    The Security SiteProtector System enables organizations to centrally manage their network, server and endpoint security agents and appliances. The IBM Certified Analyst -- Security SiteProtector System V3.1.1 credential is designed to certify security analysts who expend the SiteProtector System to monitor and manage events, monitor system health, optimize SiteProtector and generate reports.

    To obtain this certification, candidates must pass one exam.

    Source: IBM Security SiteProtector Certification

    Oracle Certified Expert, Oracle Solaris 10 Certified Security AdministratorPrerequisite: Oracle Certified Professional, Oracle Solaris 10 System Administrator.

    This credential aims to certify experienced Solaris 10 administrators with security interest and experience. It's a midrange credential that focuses on general security principles and features, installing systems securely, application and network security, principle of least privilege, cryptographic features, auditing, and zone security.

    A single exam -- geared toward the Solaris 10 operating system or the OpenSolaris environment -- is required to obtain this credential.

    Source: Oracle Solaris Certification

    Oracle Mobile SecurityPrerequisites: Oracle recommends that candidates understand enterprise mobility, mobile application management and mobile device management; hold two years of experience implementing Oracle Access Management Suite Plus 11g; and hold experience in at least one other Oracle product family.

    This credential recognizes professionals who create configuration designs and implement the Oracle Mobile Security Suite. Candidates must hold a working scholarship of Oracle Mobile Security Suite Access Server, Oracle Mobile Security Suite Administrative Console, Oracle Mobile Security Suite Notification Server, Oracle Mobile Security Suite Containerization and Oracle Mobile Security Suite Provisioning and Policies. They must too know how to deploy the Oracle Mobile Security Suite.

    Although the certification is designed for Oracle PartnerNetwork members, it is available to any candidate. Successful completion of one exam is required.

    Source: Oracle Mobile Security Certification

    RSA Archer Certified Administrator (CA)Prerequisites: None required; Dell EMC highly recommends RSA training and two years of product experience as preparation for the RSA certification exams.

    Dell EMC offers this certification, which is designed for security professionals who manage, administer, maintain and troubleshoot the RSA Archer Governance, Risk and Compliance (GRC) platform.

    Candidates must pass one exam, which focuses on integration and configuration management, security administration, and the data presentation and communication features of the RSA Archer GRC product.

    Source: Dell EMC RSA Archer Certification

    RSA SecurID Certified Administrator (RSA Authentication Manager 8.0)Prerequisites: None required; Dell EMC highly recommends RSA training and two years of product experience as preparation for the RSA certification exams.

    Dell EMC offers this certification, which is designed for security professionals who manage, maintain and administer enterprise security systems based on RSA SecurID system products and RSA Authentication Manager 8.0.

    RSA SecurID CAs can operate and maintain RSA SecurID components within the context of their operational systems and environments; troubleshoot security and implementation problems; and work with updates, patches and fixes. They can too discharge administrative functions and populate and manage users, set up and expend software authenticators, and understand the configuration required for RSA Authentication Manager 8.0 system operations.

    Source: Dell EMC RSA Authentication Manager Certification

    RSA Security Analytics CAPrerequisites: None required; Dell EMC highly recommends RSA training and two years of product experience as preparation for the RSA certification exams.

    This Dell EMC certification is aimed at security professionals who configure, manage, administer and troubleshoot the RSA Security Analytics product. scholarship of the product's features, as well the faculty to expend the product to identify security concerns, are required.

    Candidates must pass one exam, which focuses on RSA Security Analytics functions and capabilities, configuration, management, monitoring and troubleshooting.

    Source: Dell EMC RSA Security Analytics

    Advanced information technology security certifications 

    CCIE SecurityPrerequisites: None required; three to five years of professional working experience recommended.

    Arguably one of the most coveted certifications around, the CCIE is in a league of its own. Having been around since 2002, the CCIE Security track is unrivaled for those interested in dealing with information security topics, tools and technologies in networks built using or around Cisco products and platforms.

    The CCIE certifies that candidates possess expert technical skills and scholarship of security and VPN products; an understanding of Windows, Unix, Linux, network protocols and domain denomination systems; an understanding of identity management; an in-depth understanding of Layer 2 and 3 network infrastructures; and the faculty to configure end-to-end secure networks, as well as to discharge troubleshooting and threat mitigation.

    To achieve this certification, candidates must pass both a written and lab exam. The lab exam must subsist passed within 18 months of the successful completion of the written exam.

    Source: Cisco Systems CCIE Security Certification

    Check Point Certified Managed Security Expert (CCMSE)Prerequisites: CCSE certification R75 or later and 6 months to 1 year of experience with Check Point products.

    This advanced-level credential is aimed at those seeking to learn how to install, configure and troubleshoot Check Point's Multi-Domain Security Management with Virtual System Extension.

    Professionals are expected to know how to migrate physical firewalls to a virtualized environment, install and manage an MDM environment, configure tall availability, implement global policies and discharge troubleshooting.

    Source: Check Point CCMSE

    Check Point Certified Security Master (CCSM)Prerequisites: CCSE R70 or later and experience with Windows Server, Unix, TCP/IP, and networking and internet technologies.

    The CCSM is the most advanced Check Point certification available. This credential is aimed at security professionals who implement, manage and troubleshoot Check Point security products. Candidates are expected to subsist experts in perimeter, internal, web and endpoint security systems.

    To acquire this credential, candidates must pass a written exam.

    Source: Check Point CCSM Certification

    Certified SonicWall Security Professional (CCSP)Prerequisites: Attendance at an advanced administration training course.

    Those who achieve this certification hold attained a tall plane of mastery of SonicWall products. In addition, credential holders should subsist able to deploy, optimize and troubleshoot All the associated product features.

    Earning a CSSP requires taking an advanced administration course that focuses on either network security or secure mobile access, and passing the associated certification exam.

    Source: SonicWall CSSP certification

    IBM Certified Administrator -- Tivoli Monitoring V6.3Prerequisites: Security-related requirements involve basic scholarship of SSL, data encryption and system user accounts.

    Those who attain this certification are expected to subsist capable of planning, installing, configuring, upgrading and customizing workspaces, policies and more. In addition, credential holders should subsist able to troubleshoot, administer and maintain an IBM Tivoli Monitoring V6.3 environment.

    Candidates must successfully pass one exam.

    Source: IBM Tivoli Certified Administrator

    Master Certified SonicWall Security Administrator (CSSA)The Master CSSA is an intermediate between the base-level CSSA credential (itself an intermediate certification) and the CSSP.

    To qualify for Master CSSA, candidates must pass three (or more) CSSA exams, and then email training@sonicwall.com to request the designation. There are no other charges or requirements involved.

    Source: SonicWall Master CSSA

    Conclusion 

    Remember, when it comes to selecting vendor-specific information technology security certifications, your organization's existing or planned security product purchases should decree your options. If your security infrastructure includes products from vendors not mentioned here, subsist confident to check with them to determine if training or certifications on such products are available.

    About the author:Ed Tittel is a 30-plus year IT veteran who's worked as a developer, networking consultant, technical trainer, writer and expert witness. Perhaps best known for creating the Exam Cram series, Ed has contributed to more than 100 books on many computing topics, including titles on information security, Windows OSes and HTML. Ed too blogs regularly for TechTarget (Windows Enterprise Desktop), Tom's IT Pro and GoCertify.


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    Using ersatz Intelligence to Search for Extraterrestrial Intelligence | killexams.com true questions and Pass4sure dumps

    The Machine Learning 4 SETI Code Challenge (ML4SETI), created by the SETI Institute and IBM, was completed on July 31st 2017. Nearly 75 participants, with a wide sweep of backgrounds from industry and academia, worked in teams on the project. The top team achieved a signal classification accuracy of 95%. The code challenge was sponsored by IBM, Nimbix Cloud, Skymind, Galvanize, and The SETI League.

    The ML4SETI project challenged participants to build a machine-learning model to classify different signal types observed in radio-telescope data for the search for extra-terrestrial intelligence (SETI). Seven classes of signals were simulated (and thus, labeled), with which citizen scientists trained their models. They then measured the performance of these models with tests sets in order to determine a winner of the code challenge. The results were remarkably accurate signal classification models. The models from the top teams, using deep learning techniques, attained nearly 95% accuracy in signals from the test set, which included some signals with very low amplitudes. These models may soon subsist used in daily SETI radio signal research.

    Three of the 42 offset Gregorian, 6-meter dishes that acquire up the Allen Telescope Array at the Hat Creek Radio Observatory in northern California.

    Deep learning models trained for signal classification may significantly repercussion how SETI research is conducted at the Allen Telescope Array, where the SETI Institute conducts its radio-signal search. More robust classification should allow researchers to better the efficiency of observing each star system and allow for newfangled ways to implement their search.

    Brief explanation of SETI data and its acquisition

    In order to understand the code challenge and exactly how it will assist SETI research, an understanding of how the SETI Institute operates is needed. In this section, we’ll briefly scamper over the data acquisition of true SETI data from 2013–2015, the real-time analysis, and how it has been analyzed later in the context of the SETI+IBM collaboration. Some of this information can subsist create on the SETI Institute’s public SETI Quest page.

    Time-Series radio signals

    The Allen Telescope Array is an array of 42 six-meter-diameter dishes that solemnize radio signals in the 1–10 GHz range. By combining the signals from different dishes, in a process called “beamforming”, observations of radio signals from very wee windows of the sky about specific stellar systems are made. At the ATA, three sever beams may subsist observed simultaneously and are used together to acquire decisions about the likelihood of observing bright signals. On the SETIQuest page, one can notice the current observations in real-time.

    Screen capture from https://setiquest.info showing 3 beams under observation.

    The analog voltage signals measured from the antenna are mixed (demodulated) from the GHz sweep down to lower frequencies and then digitized. The output of this processing is a stream of complex-valued time-series data across a sweep of frequency bandwidths of interest. At any given moment, the ATA can solemnize 108 MHz of spectrum within the 1 to 10 GHz range.

    The software that controls the data acquisition system, analyzes the time-series data in real-time, directs repeated observations, and writes data out to disk is called SonATA (SETI on the ATA).

    To find signals, the SonATA software calculates the signal power as a duty of both frequency and time. It then searches for signals with power greater than the average hubbub power that persist for more than a few seconds. The representation of the power as a duty of frequency and time are called spectrograms, or “waterfall plots” in the parlance of the field. To compute a spectrogram, a long complex-valued time-series data stream is chunked into multiple samples of about one-second worth of data. For each of these one-second samples, signal processing is applied (Hann windowing) and the power spectrum is calculated. Then, the power spectrum for each one-second sampled are ordered next to each other to yield the spectrogram. This is explained in pictures in a talk I gave earlier this spring (see slides 7–13).

    Signal observed at the Allen Telescope Array from the Cassini satellite while orbiting Saturn on September 3, 2014.

    The device above is an case of a classic “narrowband” signal, which is what SonATA primarily searches for in the data. The power of the signal is represented on a black & white scale. You can clearly notice a signal starting at about 8.429245830 GHz and drifting up to 8.429245940 GHz over the ~175 second observation. Narrowband signals that hold a large amount of power at a specific frequency (and hence, they hold a “narrow” bandwidth) . The intuition that SonATA searches for these signals is because this is the kindly of signal they expend to communicate with their satellites, and it’s how they suspect an E.T. civilization might transmit a signal to us if they were trying to accumulate their attention. The central (“carrier”) frequency of a narrowband signal, however, is not constant. Due to the rotation of the Earth and to the acceleration of the source, the frequency of the received signal drifts as a duty of time, called Doppler Drift (not to subsist confused with Doppler Shift, though they are related).

    The SonATA system was constructed to search primarily for narrowband signals. SonATA may label a signal as a “Candidate” when those narrowband characteristics are observed, the signal does not emerge to hold originated from a local source, and is not create in a database containing known RFI signals. After a signal has been labeled as a Candidate, a newfangled set of observations are made to test if that signal is persistent.

    A persistent signal is one of the most well-known characteristics of a potential ET signal. First, SonATA tests to acquire confident it doesn’t notice the very Candidate signal in the other two beams (which would bespeak RFI). It then forms a beam at a different point in the sky to ensure that it doesn’t notice the signal elsewhere. Then it looks back again to the very location. If it finds a signal again, the process is repeated. Each step along the way, the observed signal is recorded to disk in wee files in an 8.5 kHz bandwidth about the frequency of the observation (as opposed to saving the entire stream of data over the plenary 108 MHz bandwidth). This pattern of observation can iterate up to five times, at which point the system places a phone call to a SETI researcher! (This has only happened once or twice in the past few years at the SETI Institute’s ATA, I’m told.) The “How Observing Works” link on the http://setiquest.info website explains this in more detail.

    While SonATA is trained to find narrowband signals, it will often trigger on other types of signals as well, especially if there is a large power spike. There are many different “classes” of signals with a sweep of characteristics, such as smoothly varying drift rates, stochastically varying drift rates and various amplitude modulations. Additionally, these characteristics vary in intensity (they can subsist more or less pronounced) in such a way that, overall, the different classes are not entirely distinguishable. Of course, this makes it difficult to group and classify many of the true types of signals that are observed in SETI searches.

    Clustering and classifying true SETI data

    In 2015, the IBM Emerging Technologies jStart group joined up with researchers from the SETI Institute, NASA, and Swinburne University, forming this collaboration. The goal was two-fold: exercise some of IBM’s newfangled data management (Object Storage) and analytics (Apache Spark) product offerings to gain feedback, while providing significant computational infrastructure for SETI and NASA to explore the SETI raw data set. The 2013–2015 data set from the SETI Institute, which contains over 100 million Candidate and RFI observations and is a few TB in size, was transferred to IBM remonstrate Storage instances. The remonstrate Storage instances are located within the very data hub as an IBM Enterprise Spark Cluster that was provisioned specifically for this collaboration. This computational setup has allowed researchers to spin through the data set many times over, searching for patterns in the observations. This data set is publicly available to citizen scientists via the SETI@IBMCloud project.

    Over the following year, multiple attempts were made to cluster and classify the subset of Candidate signals create in the plenary data set. Some approaches were create to subsist more robust than others, but None were quite satisfactory enough for SETI Institute scientists to employ those techniques on a regular basis as fraction of their measure observational program.

    Simulated signals and their classifiers

    Due to the challenge of clustering and classifying the true SETI Candidate data, they decided to build a set of simulated signals that they could control and label. With a labeled set of data, we, or others, could train models for classification.

    Based on manual observation, there are a number of classes of signals that SETI Institute researchers often observe. For this work, they decided to focus on just six of the different classes, plus a hubbub class. The signal classes were labeled ‘brightpixel’, ‘narrowband’, ‘narrowbanddrd’, ‘noise’, ‘squarepulsednarrowband’, ‘squiggle’, and ‘squigglesquarepulsednarrowband’. The class names are descriptive of their appearance in a spectrogram.

    All simulations were a sum of a signal and a hubbub background. They are described in detail below in order of increasing complexity. subsist aware that All simulations were done entirely in the time-domain. The output data files were complex-valued time-series. All hubbub backgrounds were randomly sampled gaussian white hubbub with a besubstantive of zero and RMS width of 13.0 for both the true and imaginary component. The spectrogram in the figures below were produced from a few case simulations. Also, the formula displayed in the figures achieve not fully characterize the simulations, but they are qualitatively useful for discussion.

    Gaussian white-noise with no signal. Noise

    The simulations labeled as ‘noise’, contained no signal, A(t)=0, plus the gaussian white hubbub background. In the plenary data set, there were 20k “noise” simulations.

    Typical narrowband signal with drifting central frequency. Narrowband

    Narrowband signals initiate at some initial frequency, f₀, then change over time with a constant drift rate, d. Frequency drift indicates a non-zero acceleration between the transmitter and receiver. The amplitudes of these signals are constant throughout the simulation, A(t) = C. They simulated 20k narrowband signals, each one with a randomly selected initial frequency, fo, drift rate, d, and signal amplitudes, C.

    Narrowband DRD

    Sometimes, signals are observed at the ATA where the drift rate does not remain constant. The frequency of the signal not only shifts in time, but shifts with an increasing or decreasing rate, as seen in the figure. These are labeled “narrowbanddrd”, where DRD stands for “drift rate derivative”. They simulated 20k narrowbanddrd signals, each one with a randomly selected initial frequency, fo, drift rate, d, drift rate derivative, “d-dot”, and signal amplitude, C.

    SquarePulsedNarrowBand

    Another phenomenon observed in ATA data are narrowband signals that emerge to hold a square-wave amplitude modulation. The square-wave amplitude modulation, A(t), is parameterized by its periodicity, P, duty cycle, D, and initial start time t_phi. Again, they simulated 20k signals of this type. The six variables that characterize these signals, fo, d, C, P, D and t_phi, were randomly chosen for each simulated signal.

    Squiggles

    Signals with stochastically-varying frequencies often pointto up in ATA data, and are known as ‘squiggles’. These signals were simulated by assigning an amplitude, s, to a randomly sampled value between -1 and 1. This simulates the random-walk of the signal’s frequency as observed in the data. Note that the equation for the frequency as a duty of time is slightly different here in order to characterize the randomly shifting frequency. They simulated 20k squiggles with randomly chosen values for fo, d, C and s.

    SquiggleSquarePulsedNarrowBand

    We added a square-wave amplitude modulation to the squiggle signals in the very way was was applied to the narrowband. They simulated 20k squiggles with randomly chosen values for fo, d, C, s, P, D and t_phi. (The title of this signal is a bit inconsistent in structure with the others because it contains the word “narrowband”. A more arrogate signal denomination would hold been SquarePulsedSquiggle.)

    BrightPixels

    Finally, signals called “brightpixels” were simulated. These are wee blips of a signal where significant power is create for just a very short time at a specific frequency. In the true data at the ATA, however, these signals sometimes hold broader spectrum. These are simulated in the exact very way as “squarepulsednarrowand”, but with restricted sweep of values for the parameters that control the square-wave modulation. In particular, the periodicity, P, is fixed to the total length of the simulation, T. The duty cycle, D, is restricted to a very narrow range, which lets the gleaming pixel vary in size slightly. The initial offset time, t_phi, has the very plenary sweep as before. For the 20k simulated brightpixel signals, the fo, d, and C parameters were randomly selected, as before.

    Distinguishability of signals: sweep of simulation parameter values

    The simulation parameters were confined to a particular sweep of values in order to create a simulated data set that closely represents the sweep of values create in true signals observed at the ATA. The amplitude of the background hubbub in All simulations was fixed by a gaussian distribution with zero besubstantive and measure aberration width of 13.0 for both the true and imaginary components. This amplitude matches the typical hubbub amplitude observed at the ATA. All non-noise signals were simulated with an amplitude equal to a fraction of this hubbub amplitude for both the true and imaginary components.

    Four ‘squiggle’ simulations with different values for the squiggle parameter, s, and different SNRs. The simulation at the bottom birthright is not visible by the human eye.

    The amplitudes, C, were uniformly distributed between 0.65 to 6.5 for most signals — brightpixel amplitudes ranged slightly higher, up to 9.75. Respectively, the sweep of signal to hubbub ratios, SNR, were, [0.05, 0.5] and [0.1,0.75]. Note that these are signal and background amplitude values in the time-domain, and not in the spectrograms.

    Parameters that controlled particular characteristics of the signals were uniformly distributed from nearly zero to values that produced a maximum outcome similar to that observed in the true data. For example, the squiggle parameter, s, was distributed in the sweep [0.0001, 0.005]. As s approaches zero, squiggles initiate to resemble narrowband signals. Similarly, the drift rate derivate value was evenly distributed in the sweep of [0.01, 0.08]. As the derivative approaches zero, these signals become indistinguishable from narrowband signals. In this particular case, they purposefully kept the lower-bound significantly above zero in order to sustain this class of signal more distinguishable from narrowband.

    For the square-wave amplitude modulation, the periodicity, P, was uniformly distributed from 15.6% to 46.9% of the total simulation time, T. The duty cycle, D, which controls the width of the square-wave, was uniformly distributed from 15% to 80% of the chosen periodicity, P. In order to simulate brightpixels, they used square-wave amplitude modulation with a fixed periodicity, P=T, and a very restricted duty cycle, D=[0.78%, 3.125%].

    Simulation software & infrastructure

    Simulation software was written in Java and Scala and executed on an 30-executor IBM Enterprise Spark cluster. Data were written to IBM remonstrate Storage and IBM Db2 (formerly dashDB), both located within the very SoftLayer datacenter. There is no recorded simulation performance data, but anecdotally, about 1000 simulations could subsist created per minute, with the primary bottleneck being I/O to remonstrate Storage and Db2. The software they used to simulate the SETI signals is noiseless in a private repository. However, in the near future they will apply an Apache 2.0 License and release that code for those who are interested.

    Training and test set details

    In total, 140k signals were simulated and available for training classification models. Each simulated signal was placed in an individual file. Each file contained a JSON header, followed by raw bytes for the complex-valued time-series data. The ibmseti Python package, which may subsist used to read and dissect true data from the ATA, was extended to read these simulation data files, facilitate signal processing and yield spectrogram. In the training data, the JSON headers contained the signal classification value and a UUID, whereas the JSON headers for the test data only contained a UUID. The UUIDs were used for reporting a team’s test scores.

    Two test sets were available for teams to score their trained models. The first test set, which they called the “preview” test set, allowed teams to score their models publicly. The second test set, called the “final” test set, was used for the final scoring and judging of classification models.

    Each test set contained about 2400 simulated signals. However, the exact number of simulated signals for each class in the test sets were different. There were approximately 350 +- 50 simulated signals of each class. An unequal number of samples per class prevented attempts at artificially improving a team’s score. If there was an equal number of samples per class, and teams became aware of this, that constraint could subsist exploited to modify class estimators and boost scores.

    Teams were asked to build a .csv file scorecard. Each row of the scorecard file contained the UUID of the simulated file in the first position, along with seven numerical values that represented their model’s degree of faith or probability for each class. The order of the values in each row were required to succeed the alphabetical ordering of the class labels: brightpixel, narrowband, narrowbanddrd, noise, squarepulsednarrowband, squiggle, squigglesquarepulsednarrowband. For example, the line below indicates that a model scored the simulation test file “dbe38b359e70efb1a5fc2ea7bc4c619c”, with a 99.997% probability of being a brightpixel.

    Teams then submitted their scorecard for either the Preview or Final test set to the respective online scoreboard. Teams were allowed six submissions to the Preview Scoreboard, which allowed models to subsist updated and compared with other participants. However, only one submission was allowed to the Final Scoreboard. The scoreboards calculated the multinomial logistic regression loss (LogLoss) for the scorecard, which was the team’s score. The team with the lowest LogLoss value was declared the winner.

    The winning teams and results

    All participants of the code challenge produced excellent results. Overall, they were much better than expected. The top teams were able to detect and identify signals that were buried fairly deep into the noise.

    The winning team, ‘Effsubsee’ (F_c), is Stéphane Egly, Sagar Vinodababu and Jeffrey Voien. They posted a classification accuracy of 94.99%! The second belt team was, ‘Signet’, who is Benjamin Bastian. He posted a classification accuracy of 94.67%. These teams differed only in their classification of a handful of the test cases.

    Below are the classification accuracies and LogLoss scores for their models with the preview test set (scores for the final test set won’t subsist published). In addition, an accompanying confusion matrix for each team’s preview test set scorecard can subsist create in a Jupyter notebook in the ML4SETI repository.

    Effsubsee’s precision, recall and f1 scores for the ML4SETI Preview Test Set. Classification accuracy is equal to the average recall score. Signet’s precision, recall and f1 scores for the ML4SETI Preview Test Set. Classification accuracy is equal to the average recall score.

    Interestingly, you’ll notice, Effsubsee’s LogLoss score for the preview test set was lower than Signet’s score. However, Signet’s classification accuracy was slightly greater.

    Following Effsubsee and Signet, were Snb1 (Gerry Zhang) with 87.5% classification accuracy and LogLoss of 0.38467, Signy McSigface (Kevin Dela Rosa and Gabriel Parent) with 83.9% classification accuracy and LogLoss of 0.46575, and NulliusInVerbans with 82.3% classification accuracy and LogLoss of 0.56032. Their LogLoss scores are create on the Final Scoreboard.

    First belt and runner-up classification models

    The Effsubsee and Signet teams hold provided documentation and released their models under the Apache 2.0 license on GitHub.

    Top Team: Effsubsee (this section was written by Team Effsubsee)

    Our approach was to experiment with various leading image classification architectures, and systematically determine the architecture that works best for the SETI signal data. They split the data into 5 parts, or “folds”, with equal class distributions. Each model was trained on 4 folds, and the accuracy against the 5th fold was measured. (This is called the validation accuracy.) Below are the architectures that were constructed and the best validation accuracies they achieved for each class of architecture.

    Residual Networks with 18, 50, 101, 152, 203 layers. The best model was the ResNet-101, with a single-fold validation accuracy of 94.99%.

    Wide Residual Networks with 34x2, 16x8, 28x10 layers(x)expansion-factors. The best model was the WideResNet-34x2, with a single-fold validation accuracy of 95.77%.

    Dense Networks with 161, 201 layers. The best model was the DenseNet-201, with a single-fold validation accuracy of 94.80%.

    Dual Path Networks with 92, 98, 131 layers. The best model was the DPN-92, with a single-fold validation accuracy of 95.08%.

    With very deep architectures, a common problem is overfitting to the training data. This means that the network will learn very fine patterns in the training data that may not exist in real-world (or test) data. While each of the five single-fold WideResNet-34x2 models had the highest validation accuracies, it was slightly overfitting to the training data. In contrast, a single-fold ResNet-101 performed the best on the preview test set, outperforming each of the other single-fold models. (This too makes the single-fold ResNet-101 an attractive candidate in a scenario where there are significant time constraints for prediction.)

    However, for the winning entry, they used an averaged ensemble of five Wide Residual Networks, trained on different sets of 4(/5) folds, each with a depth of 34 (convolutional layers) and a widening factor of 2; the WideResNet-34x2.

    In order to avoid overfitting, they combined the five single-fold WideResNet-34x2 in such a way that it takes a majority vote between them and eliminates inconsistencies. This was accomplished by a simple average the five results. As a result, the log-loss score for the five-fold WideResNet-34x2 was considerably better than the single-fold ResNet-101, with scores of 0.185 and 0.220, respectively.

    In addition to their code, team Effsubsee placed the set of five model parameters in their GitHub repository. You can try the model yourself to cipher the class probabilities for a simulated signal, as demonstrated in this Jupyter notebook in IBM’s Data Science Experience. (To expend this notebook in your own DSX project, download the .ipynb file and create a newfangled notebook from File.) Note that the Effsubsee original code was slightly modified in order to dash their models on CPU. In general, with most modern deep learning libraries, this is relatively simple to achieve.

    Second Place: Signet

    Signet used a single Dense Convolutional Neural Net with 201 layers, as implemented in the torchvision module of pytorch. This was an architecture too explored by Effsubsee. It took approximately two days to train the model on Signet’s GeForce GTX 1080 Ti GPU. Signet’s code repository is create on GitHub.

    Signet’s model is too demonstrated calculating a simulated signal’s class probabilities in a Jupyter notebook on IBM Data Science Experience. Some of Signet’s code was slightly modified to dash on CPU. (To expend this notebook in your own DSX project, you can download the .ipynb file and create a newfangled notebook from File.)

    Run on GPU

    Of course, you can too dash these models locally or on a cloud server, such as those offered by IBM/SoftLayer or Nimbix Cloud, with or without a GPU. The setup instructions are rather simple, especially if you install Anaconda. But even without Anaconda, you can accumulate away with pip installing almost everything you need. First, however, you will exigency to exigency to install CUDA 8.0 and should install cuDNN. After that, assuming you’ve installed Anaconda, it should subsist a handful of steps to accumulate up and running.

    Conclusions & next steps

    The ML4SETI Code Challenge has resulted in two deep learning models with a demonstrated tall signal classification accuracy. This is a promising first step in utilizing deep learning methods in SETI research and potentially other radio-astronomy experiments. Additionally, this project and the DSX notebooks above proffer a transparent picture of how a deep learning model, trained on GPUs, can then subsist deployed into production on CPUs when only inference about future newfangled data exigency to subsist calculated.

    The next most immediate job to subsist taken by the SETI/IBM team and the winning code challenge team, Effsubsee, will subsist to write an academic paper and to present this work at conferences. A future article will emerge on arxiv.org and potentially in a suitable astro-physics journal.

    Future technical updates

    There are some improvements on this work that could subsist done to build more robust signal classification models.

    New signal types & characteristics

    There are two obvious advancements that can subsist made to train newfangled deep learning models. First, more signal types can subsist added to the set of signals they simulate. For example, a sine-wave amplitude modulation could subsist applied to narrowband and squiggles, brightpixels could subsist broadened to involve a wider sweep of frequencies, and amplitude modulation could subsist applied to narrowbanddrd. Second, the sweep of values for parameters that control the characteristics of the simulations could subsist changed. They could expend smaller values for the squiggle parameter, and drift rate derivatives, for example. This would acquire some of the squiggle and narrowbanddrd signals emerge very much dote the narrowband signals. Obviously they hope classification models to become confused, or to identify those as narrowband more frequently as the parameters scamper to zero. However, it would subsist piquant to notice the exact shape of the classification accuracy as a duty of the amplitude of the parameters that control the simulations.

    Different background model

    We originally intended to expend true data for the background noise. They observed the Sun over a 108 MHz bandwidth window and recorded the demodulated complex-valued time-series to disk. Overall there was an hour of continuous observation data. For the code challenge data sets, they used gaussian white noise, as described above. This was the version 3 (v3) data set. However, the version 2 data (v2) set does expend the Sun observation as the background noise. The Sun hubbub significantly increases the challenge of edifice a signal classifiers because the background hubbub is non-stationary and may hold random blips of signal of appreciable power.

    The Sun hubbub could subsist used instead of gaussian white noise, along with the expanded ranges of signal characteristics in a future set of simulated data.

    Object detection with multiple signals

    We would dote to discharge not just signal classification, but subsist able to find multiple different classes of signals in a single observation. The true SETI data from the ATA often contains multiple signals, and it would subsist very helpful to identify as many of these signal classes as possible. In order to achieve this, we’d exigency to create a labeled data set specifically for the purpose for training remonstrate detection models. In principle, All of the components in the simulation software exist already to build such a data set.

    Signal characteristic measurements and prediction

    A useful addition to deep learning models would subsist the faculty to measure characteristics of the signal. The SonATA system can rate a signal’s overall power, starting frequency and drift rate. Could deep learning systems scamper beyond that, especially for signals that are not the measure narrowband, and measure quantities that portray the amount of squiggle, the average change in the drift rate, or parameters about the amplitude modulation? The simulation software would exigency to subsist significantly updated in order to build such a system. The simulation signals would too exigency to include, beside the class label, the signal amplitude, frequency, drift rate, squiggle amplitude, etc., in order for machine learning models to learn how to prognosticate those quantities. One solution may even subsist to discharge signal classification with deep learning, and then expend a more measure physics approach and discharge a maximum likelihood fortunate to the signal to extract those parameters.

    ML4SETI Code Challenge reboot

    Even though the code challenge is officially over, it’s not too late to attain the code challenge simulation data and build your own model. We’ve left the data available in the very locations as before, and the Preview and Final test sets and scoreboards are noiseless online. You can form a team (or work on your own) and submit a result for the foreseeable future while these data remain publicly available. Additionally, you can join the ML4SETI Slack team to interrogate questions from me, SETI researchers, the top code challenge teams, and other participants.

    There are a few places to accumulate started. First, it may subsist informative and inspiring to watch the Hackathon video recap. Second, you should visit the ML4SETI github repository and read the Getting Started page, which will direct you to the data sets and basic introduction on how to read them and yield spectrogram. Finally, you could hook the case code above from Effsubsee and Signet and iterate on their results. Let us know if you beat their scores!

    Acknowledgements

    The ML4SETI code challenge would not hold happened without the difficult work of many people. They are Rebecca McDonald, Gerry Harp, Jon Richards, and Jill Tarter from the SETI Institute; Graham Mackintosh, Francois Luus, Teri Chadbourne, and Patrick Titzler from IBM. Additionally, thanks to Indrajit Poddar, Saeed Aghabozorgi, Joseph Santarcangelo and Daniel Rudnitski for their assist with the hackathon and edifice the scoreboards.



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