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ES0-003 - RES PowerFuse Series 8 Basic - Dump Information

Vendor : RES
Exam Code : ES0-003
Exam Name : RES PowerFuse Series 8 Basic
Questions and Answers : 60 Q & A
Updated On : February 22, 2019
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ES0-003 Questions and Answers

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ES0-003 RES PowerFuse Series 8 Basic

Study Guide Prepared by Killexams.com RES Dumps Experts


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ES0-003 exam Dumps Source : RES PowerFuse Series 8 Basic

Test Code : ES0-003
Test Name : RES PowerFuse Series 8 Basic
Vendor Name : RES
Q&A : 60 Real Questions

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RES RES PowerFuse Series 8

RES PowerFuse eight user administration Reviewed | killexams.com Real Questions and Pass4sure dumps

It has been practically three years for the reason that RES software launched RES PowerFuse edition 7.03 (also called RES PowerFuse 2005). In November 2007 RES eventually released the new version:  RES PowerFuse sequence eight.

 

For this version RES application fully rebuilt the code of the product and changed the infrastructure. prior versions of RES PowerFuse used a file share (mixed with a database) where configuration settings have been kept. In RES PowerFuse sequence eight, they modified to a very distinct model using a database to store all configuration settings. valued clientele will cache the complete configuration set in the community, so that customers can function continually however the database is down. After the initial caching of the entire configuration set, the database and the native caches will simplest trade new or modified records. it is now additionally possible to copy the database to different websites using SQL concepts (and to join devices to this replicated database logically). With the brand new infrastructure it is now possible to manipulate Terminal Servers, workstations and laptops the use of one configuration database. anyway this comprehensive redesign of the RES PowerFuse returned-end behind RES PowerFuse they additionally added about 200 enhancements in the product.

installation

identical to the older version, the RES PowerFuse installation kit consists of a single MSI file. right through the setting up handiest the license contract and the destination area deserve to be unique. After this installing the device needs to be restarted, because the appguard driver acts at kernel level. After the restart that you may birth the RES PowerFuse management Console (previously known as the precise commercial enterprise supervisor) to create the database. (RES PowerFuse helps MS SQL [Express], Oracle, DB2 and MySQL). here's achieved by means of the Create button, which gifts a wizard. without doubt, you want an account which has satisfactory rights on the SQL server. After creation of the database, which you could  add other machines to the RES PowerFuse configuration via readily filling in the counsel about the current database after which clicking the join button.

To study more and to read the total article please check with the leisure of the article at its source: VanBragt.net SBC Centre – RES PowerFuse 8


FujiFilm Expands Its range Of Mirrorless X-collection digital camera With the new X-T30 | killexams.com Real Questions and Pass4sure dumps

X-T30Specification mannequin name FUJIFILM X-T30 variety of helpful pixels 26.1 million pixels photo sensor 23.5mm×15.6mm (APS-C) X-Trans CMOS four with primary colour clear outSensor cleaning system ultra Sonic Vibration Storage media SD memory card (~2GB) / SDHC reminiscence card (~32GB) / SDXC reminiscence card (~512GB) united states of americaI File structure of nonetheless photograph JPEG: Exif Ver.2.3 *1, uncooked: 14bit raw (RAF original layout) / raw+JPEG variety of recorded pixels [L]〈three:2〉 6240 × 4160 〈16:9〉 6240 × 3512 〈1:1〉 4160 × 4160 [M]〈3:2〉 4416 × 2944 〈16:9〉 4416 × 2488 〈1:1〉 2944 × 2944 [S]〈3:2〉 3120 × 2080 〈sixteen:9〉 3120 × 1760 〈1:1〉 2080 × 2080 Lens mount FUJIFILM X mount Sensitivity regular output AUTO1 / AUTO2 / AUTO3 (as much as ISO12800) / ISO160~12800 (1/three step) prolonged output ISO80/a hundred/125/25600/51200 publicity control TTL 256-zone metering, Multi / Spot / regular / center Weighted publicity mode P (application AE) / A (Aperture priority AE) / S (Shutter pace priority AE) / M (guide exposure) publicity compensation -5.0EV~+5.0EV 1/3EV step (movie: -2.0EV~+2.0EV) Shutter classification Focal plane Shutter Shutter velocity Mechanical Shutter P mode: 4sec. to 1/4000sec. A mode: 30sec. to 1/4000sec. S/M mode: 15min. to 1/4000sec. Bulb mode: as much as 60min. electronic Shutter *2 P mode: 4sec. to 1/32000sec. A mode: 30sec. to 1/32000sec. S/M mode: 15min. to 1/32000sec. Bulb mode: 1sec. fastened Mechanical +electronic shutter P mode: 4sec. to 1/32000sec. A mode: 30sec. to 1/32000sec. S/M mode: 15min. to 1/32000sec. Bulb mode: as much as 60min. Synchronized shutter velocity for flash 1/180sec. or slower continuous shooting Approx. 30fps [Only electronic shutter, 1.25 x Crop ] (JPEG: 26 frames Lossless compression raw: 17 frames Uncompressed uncooked: 17 frames) Approx. 20fps [Only electronic shutter, 1.25 x Crop ] (JPEG: fifty three frames Lossless compression raw: 17 frames Uncompressed raw: 17 frames) Approx. 10fps [Only electronic shutter, 1.25 x Crop ] (JPEG: ninety five frames Lossless compression uncooked: 18 frames Uncompressed raw: 18 frames) Approx. 20fps [Only electronic shutter ] (JPEG: 32 frames Lossless compression uncooked: 17 frames Uncompressed raw: 17 frames) Approx. 10fps [Only electronic shutter ] (JPEG: eighty one frames Lossless compression raw: 18 frames Uncompressed uncooked: 18 frames) Approx. 8fps (JPEG: 90 frames Lossless compression uncooked: 18 frames Uncompressed raw: 18 frames) Approx. 5fps (JPEG: 205 frames Lossless compression uncooked: 24 frames Uncompressed uncooked: 19 frames) Approx. 4fps (JPEG: 209 frames Lossless compression raw: 28 frames Uncompressed uncooked: 20 frames) Approx. 3fps (JPEG: 216 frames Lossless compression raw: 34 frames Uncompressed uncooked: 21 frames) Pre-shot: Approx. 30fps [Only electronic shutter, 1.25 x Crop ] (max. 10 frames while half press, max. 12 frames after full press, complete max. 22 frames) Pre-shot: Approx. 20fps [Only electronic shutter, 1.25 x Crop ] (max. 10 frames whereas half press, max. 22 frames after full press, complete max. 32 frames) Pre-shot: Approx. 10fps [Only electronic shutter, 1.25 x Crop ] (max. 10 frames whereas half press, max. 68 frames after full press, total max. 78 frames) *Recordable frames is dependent upon recording media *velocity of continual taking pictures is dependent upon capturing environment and taking pictures frames Auto bracketing AE Bracketing (Frames: -2, -three, +3, +2, ±9, ±7, ±5, ±3 Step: 1/3EV, 2/3EV, 1EV, four/3EV、5/3EV、2EV、7/3EV、8/3EV、3EV) film Simulation bracketing (Any three styles of film simulation selectable) Dynamic latitude Bracketing (100%, 200%, four hundred%) ISO sensitivity Bracketing (±1/3EV, ±2/3EV, ±1EV) White steadiness Bracketing (±1, ±2, ±3) focus Bracketing (Frames: 1~999, Step: 1~10, Interval: 0~10s) cognizanceMode Single AF / continual AF / MF classification intelligent Hybrid AF(TTL contrast AF / TTL part detection AF) AF frameselection Single factor AF: EVF / liquid crystal display: 13×9 / 25×17 (Changeable measurement of AF frame)Zone AF: three×3 / 5×5 / 7×7 from ninety one areas on 13×9 gridWide/tracking AF: (as much as 18 enviornment) *AF-S: wide / AF-C: TrackingAll White steadiness computerized Scene consciousness / Custom1~three / colour temperature selection (2500K~10000K) / Preset: nice,color, Fluorescent mild (sunlight hours), Fluorescent gentle (heat White), Fluorescent gentle (Cool White),Incandescent gentle, Underwater Self-timer 10sec. / 2sec. Interval timer shooting sure (surroundings: Interval, number of shots, starting time) Flash guide pop-up flash (tremendous intelligent Flash) ebook quantity : approx. 7 (ISO200 · m) / approx. 5 (ISO100 · m) Flash modes TTL(FLASH AUTO / commonplace / slow SYNC.) / manual / COMMANDER / OFF SYNC. MODE 1ST CURTAIN / 2ND CURTAIN hot shoe yes (committed TTL Flash compatible) Viewfinder 0.39 inch approx. 2.36 millions dots OLED colour ViewfinderCoverage of viewing area vs. shooting area: approx. 100 percentMagnification: 0.sixty two× with 50mm lens (35mm equal) at infinity and diopter set to -1m-1Diagonal attitude of view: approx. 31° (Horizontal angle of view: approx. 26° ) constructed-in eye sensorAUTO Brightness atmosphere: 50~800cd/㎡ liquid crystal display video display 3.0 inch, element ratio three:2, approx. 1.04 million dots contact monitor colour lcd monitor(approx. 100% coverage) film recording File format MOV (MPEG-4 AVC/H.264,Audio: Linear PCM / Stereo sound 24bit / 48KHz sampling) File size [DCI 4K(4096×2160)] 29.97p/25p/24p/23.98p 200Mbps/100Mbps up to approx. 10min body expense [4K(3840×2160)]    29.97p/25p/24p/23.98p 200Mbps/100Mbps up to approx. 10min Recording time [Full HD(2048 ×1080)]   59.94p/50p/29.97p/25p/24p/23.98p   200Mbps/100Mbps as much as approx. 15min. [Full HD(1920×1080)]     fifty nine.94p/50p/29.97p/25p/24p/23.98p   200Mbps/100Mbps as much as approx. 15min. [Full HD(1920×1080) excessive speed rec.] 120p/100p 200Mbps(recording) as much as approx. 6min. *For recording motion pictures, use a SD reminiscence card with u.s.a.velocity category 3 or higher. *despite the fact film recording will continue without interruption when the file measurement reaches 4GB, subsequent photos may be recorded to a separate file which should be considered one at a time. images functions advanced SR AUTO, Face / Eye detection AF, Auto purple-eye removing, opt for customized setting, Panorama, colour area, surroundings (colour, Sharpness, D-latitude, spotlight tone, Shadow tone), Framing guiding principle, frame No. memory, Histogram screen, Preview depth of focal point, Lens Modulation Optimizer, Pre-AF, number of center of attention elements surroundings, MF aid, center of attention assess, center of attention peak highlight, electronic degree, assorted publicity, unencumber priority / center of attention precedence alternative, Fn button environment , ISO AUTO control, immediate AF environment (AF-S/AF-C), AF-C custom SETTINGS , SHUTTER AF , SHUTTER AE , AF-ON , Interlock spot AE & center of attention enviornment, focus enviornment surroundings, AE-L/AF-L button setting, Edit/save short menu, Preview exp./WB in guide mode, Shutter type, contact screen setting, activities Finder Mode, Pre-Shot, Flicker reductionFilm simulation mode sixteen modes (PROVIA/standard, Velvia/Vivid, ASTIA/gentle, traditional Chrome, seasoned Neg.hi, professional Neg.Std,Black & White, Black & White+Ye Filter, Black & White+R Filter, Black & White+G Filter, Sepia, ACROS,ACROS+Ye Filter, ACROS+R Filter, ACROS+G Filter, ETERNA/Cinema)B & W Adjustment: -9~+nineGrain impact mighty, vulnerable, OFF colour chrome effect potent, susceptible, OFF Dynamic latitude environment AUTO, a hundred%, 200%, 400percentISO restrict (DR100%: No limit, DR200%: ISO320 or extra, DR400%: ISO640 or more) advanced filter Toy camera, Miniature, Pop colour, excessive-key, Low-key, Dynamic tone, smooth focus,Partial color (red / Orange / Yellow / eco-friendly / Blue / crimson) Playback services uncooked conversion, image rotate, Auto image rotate, Face Detection, pink-eye elimination, Photobook assist, Erase selected frames, Multi-body playback (with micro thumbnail), Slide show, protect, Crop, Resize, Panorama, Favorites, Voice Memo surroundings Wirelesstransmitter typical IEEE802.11b/g/n (average wireless protocol) Encryption WEP / WPA / WPA2 blended mode access mode Infrastructure Bluetooth® average Bluetooth Ver 4.2 (Bluetooth low energy) operating frequency (core frequency) 2402 - 2480MHz wireless functions Geotagging, wireless conversation (photograph switch), View & acquire photographs, far off digicam taking pictures, computing device Autosave, image transfer Order, instax printer print different functions Exif Print, 35 Languages, Date/Time, Time change, Sound & Flash OFF, performance atmosphere, Preview exp. in guide mode, liquid crystal display Brightness, lcd color, Preview Pic. impact, DISP. custom atmosphere , massive indicators MODE(EVF) , huge indicators MODE(liquid crystal display) , enormous indicators DISP. atmosphere , Copyright setting Terminal Digital interface USB classification-C (USB3.1 Gen1) HDMI output HDMI micro connector (class D) other ø2.5mm, stereo mini connector (Microphone), hot shoe, Synchronized terminal power supply NP-W126S Li-ion battery (protected) Battery existence for nonetheless photos*3 Approx. 380 frames (normal Mode) When XF35mmF1.four R is determined. precise battery lifestyles ofmovie seize*three*Face detection is determined to OFF [4K] approx. 45min. (29.97p)[Full HD] approx. 45min. (59.94p) Continuance battery lifestyles ofmovie capture*3*Face detection is determined to OFF [4K] approx. 60min. (29.97p)[Full HD] approx. 75min. (fifty nine.94p) Dimensions 118.4mm (W) x eighty two.8mm (H) x 46.8mm (D) / 4.66in. (W) x 3.26in. (H) x 1.84in. (D) Weight Approx. 383g (including battery and SD memory card)Approx. 333g (with the exception of battery and SD memory card) OperationEnvironment working Temperature 0°C~+40°C operating Humidity 10%~eighty% (no condensation) setting out length Approx. 0.4sec. add-ons blanketed Li-ion battery NP-W126S, Shoulder strap,physique cap, Strap clip, defensive cover, Clip attaching tool, owner's guide, *1 Exif 2.3 is a digital digital camera file structure that includes plenty of shooting information for ideal printing. *2 The digital Shutter can also now not be appropriate for quickly-moving objects. Flash can't be used. *three Approximate variety of frames or film recording time that can also be serious about a completely-charged in keeping with CIPA regular.

Council to trust decision for get together fee | killexams.com Real Questions and Pass4sure dumps

A decision to establish a 14-member Centennial social gathering commission that might coordinate routine for a sequence of huge anniversaries with the intention to take place in the following couple of years might be considered Tuesday through the Joplin metropolis Council.

The metropolis of Joplin is closed today in observance of Presidents Day; the usual Monday council assembly has been postponed a day.

Patrick Tuttle, the Joplin convention and company Bureau director; Brad Belk, community historian; and Chris Wiseman, director of the Joplin history and Mineral Museum, asked the council past this month to accept as true with appointing a centennial fee. Tuttle pointed out there are 4 predominant anniversaries that the city should have a look at: the Missouri bicentennial (200th anniversary) on Aug. 10, 2021; Joplin’s sesquicentennial (one hundred and fiftieth anniversary) on March 23, 2023; the U.S. sestercentennial (250th anniversary) on July 4, 2026; and the Route 66 centennial (100th anniversary) on Nov. eleven, 2026.

metropolis commissions up to now coordinated actions for the city’s 125th birthday and its 1973 Joplin centennial observance, which worried a couple of actions and hobbies, Tuttle mentioned.

city officials have talked about the metropolis will now not fund the pursuits except with furnish funding from the conference bureau if that board approves.

The decision states, "The commission isn't expected to be the primary body to run every adventure, but identify group partners to lead and help in planing, funding and executing movements."

commission members should be appointed by way of the council to serve three-12 months phrases.

The fee also might be empowered to verify different events via 2026 that deserve consciousness. according to the resolution, those may encompass "Joplin people and corporations, historical buildings and historical pursuits. The commission shall set up a layout for deciding upon these events that present the most efficient value, in terms of cost, memorable journey and widest public activity."

Tuttle has stated a few of those can be the one hundredth anniversary of the founding of the Joplin American Legion post 13 coming up this 12 months and the construction of the Scottish ceremony Cathedral in 2023.

In other business, the council may be requested to approve four contracts with Nelson organisations for the demolition of dilapidated and unsafe properties.

those are $three,249 for 1412 Hill Ave.; $6,199 for 1322 Grand Ave.; $3,949 for 523 excessive Ave.; and $5,849 for 3035 and 3035 1/2 E. twelfth St.


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India’s Fighter Modernization: Add MiG-29s to the List | killexams.com real questions and Pass4sure dumps

Feb 20, 2019 04:52 UTC by Defense Industry Daily staff

Latest update [?]

short MiG-29 UPG, 1st flight

MiG-29UPG

February 20/19: IAF Request India requested for an urgent shipment of 21 MiG-29 „Fulcrum“ fighters from Russia. The Fulcrum is a twin-engine fighter aircraft developed by the Mikoyan design bureau as an air superiority fighter in the 70s. The MiG-29 aircraft are commonly outfitted to use a range of air-to-surface armaments and precision munitions. India was the first international customer of the MiG-29. The Indian Air Force (IAF) placed an order for more than 50 MiG-29s in 1980 while the aircraft was still in its initial development phase. In January 2010, India and Russia signed a $1.2 billion deal under which the Indian Navy would acquire 29 additional MiG-29Ks. Acquiring MiGs is considered the cheapest way to quickly replenish the diminishing strength of the IAF, which used to have 38 fighter squadrons but now struggles to keep that number above 30, far below the government-approved figure of 42. Delivery terms of the 21 MiG-29s are currently under negotiation.

Appendix A: The IAF’s Numbers Problem

AIR MiG-21 Bison

MiG-21 Bison

A look at the IAF’s composition, projects, and fleet retirements shows the relentless pressure they’re under.

By 2010, the IAF had phased out the majority of its 300-or-so MiG-21s, the 16-18 aircraft in its only remaining swing-wing MiG-23 ground attack squadron, and the IAF’s MiG-25 Foxbat high-speed reconnaissance jets.

India’s 125 or so updated MiG-21 ‘Bisons’ caused a lot of trouble for American jets at COPE India 2004 & 2005, but the type crashes a lot. Since 1971-72, as many as 380 of the IAF’s 872 MiG-21s of all variants have crashed, and crashes continue with the Bison. The type is not expected to last in service beyond 2019.

Around 100-110 swing-wing MiG-27M Bahadur ground attack fighters were grounded after a crash in 2010, and the 80 or so remaining jets aren’t being upgraded again. The Bahadur’s phase-out is scheduled for 2017.

India has about 118 Jaguar strike aircraft that have been upgraded several times. The latest DARIN III upgrade with a new IAI Elta radar and new F125 engines flew in late 2012, and upgrades are expected to be complete by 2017. The IAF has viewed its Jaguars as deep strike aircraft, with the exception of 1 maritime Jaguar IM squadron. Improving air defenses could make that role chancy, in which case the upgraded Jaguar’s natural shift is into the MiG-27’s similarly dangerous close support role.

MiG-27M India

Indian MiG-27M

At the lower end currently occupied by the MiG-21s, an initial order has been placed for 24 of HAL’s LCA Tejas light fighters. They were expected to arrive by the end of 2010, but production has been slow, and operational status is expected to take until 2014-15. That won’t even begin to dent the fighter gap. Further orders are held up by the fact that key design choices for the full production “Tejas II” upgrade remain in limbo.

In the middle, India has been forced to upgrade its remaining 51 Mirage 2000s to a standard similar to the Mirage 2000-5 or 2000-9. Those upgrades are underway, and include a new radar and new weapons. The upgraded fighters can be expected to serve until around 2030.

The 62 upgraded MiG-29UPGs will join the Mirage/ Vajra fleet in the IAF’s multi-role mid-tier. Under a proposed set of upgrades, these planes would see a set of improvements that would address their biggest deficiencies, insert important upgrades, and change their role from air-superiority planes to full multi-role fighters with modern air-to-air and air-to-ground weapons. A parallel set of deals will invest a good deal of money into local manufacture and repair facilities for key components, removing the Russians from those maintenance chains and hopefully improving mission readiness. A total of 62 planes are included: 54 single-seat fighters and 8 trainers.

India continues to assemble and field SU-30MKI aircraft, under a joint agreement with Sukhoi, and overall orders are pegged at 272 as of 2013. These aircraft will be the high end of India’s air power, can be expected to remain in the force past 2030, and are competitive with or superior to top-end European fighters and American F-15 variants.

PAK-FA

FGFA, MAKS-2011(click to view larger)

A pair of newer projects aren’t even finalized yet.

If Dassault’s Rafale can hold on to its selection and hammer out a viable contract, it would serve beside the SU-30MKIs at the high end of the force. The 100 or so planes would offer some compatibilities with the upgraded Mirage 2000s, but will come at about twice the SU-30MKI’s price. If budget pressures intervene and Tejas continues to lag, India could be forced to buy a less expensive mid-tier plane instead. MMRCA is already late, however, and the Indian government might have a case for paying more now, rather than running another competition that will take them 5+ years.

At some point, India’s FGFA (SU-50?) stealth fighter will become the new high end of the force. India hopes to order 144 planes, but the existence of even a final design is in question, let alone a contract. The IAF is unlikely to have any operational FGFA fighters before 2025 on the present schedule, and India’s record of project performance makes 2030 an unsafe bet.

Seen in this context, upgraded MiG-29s aren’t merely a useful adjunct. Over the 2015 – 2025 period, they’re crucial to India’s fighter fleet.

Keep reading for the whole story with recent events put in context

MiG-29 India Underside

IAF MiG-29B(click to view full)

Its MiG-29s have had reliability problems, but India needs them too much, and has to upgrade them. Planned buys have taken too long, and the IAF is dealing with the same fighter modernization numbers crisis that affects a number of air forces around the world. Its MiG-21s are retiring fast, and so are the subsequent generation of MiG-23/27 and MiG-25 aircraft. At the same time, India’s locally-developed Light Combat Aircraft (Tejas) program has been beset by numerous problems and ongoing delays, raising questions concerning its readiness and ability to begin filling some of that void in time. India’s MMRCA light-medium fighter competition will fill other gaps with 126 imported fighters, but it has yet to produce a contract, let alone a delivery date.

As the timelines for replacements stretch, more upgrades became necessary to keep their existing fleet viable. In February 2006, reports confirmed India’s existing fleet of MiG-29B, MiG-29S, and two-seat MiG-29UB “Baaz” (Falcon) aircraft as candidates. December 2006 reports indicated that a contract had been signed, but the deal wasn’t finalized until March 2008. Instead of arriving by 2010, therefore, they began arriving in 2013, at the MiG-29 fleet’s air base in the Punjab region, overlooking Pakistan and Kashmir.

Wanting a New Baaz: The Upgrades

MiG-29 India top view

IAF MiG-29, top view(click to view full)

Appendix A explains and details the numbers pressures that successive Indian governments, and poor execution by the Ministry of Defence, have created within the IAF. IANS reported in December 2006 that India was “finalizing” a proposal to have its fleet of MiG-29 lightweight fighters refurbished for $888 million by the Russian company RSK-MiG, which has a dedicated upgrade set designed to turn older MiG-29 air defense fighters into multi-role MiG-29SMT/UBT fighters. India’s focus on its domestic industries will ensure that its modifications will include their share of unique attributes and equipment, in addition to the standard set – an insistence that is now causing problems for the program.

The program last official total was $964 million for 62 upgraded “MiG-29UPG” fighters. They’re expected to remain in service for 10-15 more years, with their safe flight-hour lifetimes extended from 25 years/2,500 hours to 40 years/ 3,500 hours.

The planes will be fitted with upgraded weapons and a new avionics suite, including the Phazatron Zhuk-ME radar. The Zhuk-M/ME is a derivative of the baseline Zhuk radar, but its acquisition range has increased 1.5 times, with a wide scan and tracking area of + / – 85 deg. in azimuth and + / – 60 deg. in elevation. It also adds terrain following mode, and ground target acquisition including high-resolution SAR. To ensure readiness, a maintenance and repair center will be established in India.

Normally, these moves would accompany weapons upgrades. India’s MiG-29s are already believed to be capable of firing the R-77/AA-12 “AMRAAMski” medium range air-air missile, but photos consistently show the R-27/ AA-10. The new systems will offer certain R-77 compatibility, along with the ability to mount precision air-to-ground weapons. Upgraded electronic warfare systems round out the package, to improve survivability against modern threats.

short MiG-29 UPG, 1st flight

MiG-29UPG(click to view full)

In terms of aerodynamic performance, India’s MiG-29s will be upgraded with extra fuel tanks in a thickened center spine, but even upgraded MiG-29s have Soviet short-legs syndrome. Adding mid-air refueling capability completes the upgrade, offering dramatic changes to the fighters’ deployment range. Unspecified engine modifications may also correct some of the problems experienced with the R-33 engine, such as the visible smoke trails that have already been addressed in the MiG-29M2. Local R-33 engine production will offer much improved maintenance turnaround time.

India will be left with an MiG-29UPG aircraft that’s comparable to the F-16C as a strike fighter, with air-to-air performance that’s arguably superior to all but the F-16E/F Block 60s with their ultra-advanced AESA radar.

RSK-MiG will be the sole vendor to perform the upgrades and service life extension tasks, delivering the first 6 aircraft from Russia and then supplying upgrade kits. Other components may come from a range of Indian, Russian, French, Israeli (Elbit has its own MiG-29 ‘Sniper’ upgrade program), and other vendors, per Indian specifications. The MiG-21 Bison upgrade worked that way, and the $130+ million MiG-27ML upgrade sources equipment from Russia, Israel, and Britain (Vinten optical pod), among others.

Indian media report that all of the upgraded MiG-29UPGs will be stationed at Adampur Air Force Base, located in the northwest Punjab region overlooking Pakistan and Kashmir. Adampur is also the home base for India’s Garud commandos.

A Better Baaz: Program Updates 2012 – 2019

More ancillary industrial contracts, which are important.

Indian Ocean

Zhuk-ME(click to view full)

February 20/19: IAF Request India requested for an urgent shipment of 21 MiG-29 „Fulcrum“ fighters from Russia. The Fulcrum is a twin-engine fighter aircraft developed by the Mikoyan design bureau as an air superiority fighter in the 70s. The MiG-29 aircraft are commonly outfitted to use a range of air-to-surface armaments and precision munitions. India was the first international customer of the MiG-29. The Indian Air Force (IAF) placed an order for more than 50 MiG-29s in 1980 while the aircraft was still in its initial development phase. In January 2010, India and Russia signed a $1.2 billion deal under which the Indian Navy would acquire 29 additional MiG-29Ks. Acquiring MiGs is considered the cheapest way to quickly replenish the diminishing strength of the IAF, which used to have 38 fighter squadrons but now struggles to keep that number above 30, far below the government-approved figure of 42. Delivery terms of the 21 MiG-29s are currently under negotiation.

Aug 28/13: Industrial. Russia’s UAC signs $55 million in MiG-29UPG related contracts at the MAKS 2013 show. A $43 million contract will create an Indian maintenance and repair center for the fighters’ Zhuk-ME multi-mode radars, and a $12 million contract will create an Indian servicing center for the upgraded MiG-29UPGs.

Why does this matter? Under the old system, if things broke, the IAF had to ship the problem component to Russia, then wait for replacements. The waiting times were generally measured in weeks and months, not days. The result is terrible, terrible readiness rates, which means an actual serving force that’s much smaller than the supposed fleet size. That’s why India has insisted on all kinds of local facilities as ancillaries to this upgrade set, including outright manufacture of the plane’s engines (q.v. Sept 4/06 entry) and awards like these. If you do the math, these industrial changes could make a bigger difference around the Pakistani border than the MiG-29’s technological upgrades. Sources: RIA Novosti, “India Signs $55M in Deals With Russia’s MiG Fighter Jet Maker.”

Dec 10/12: Delivery. The 1st 3 modernized MiG-29UPG fighters arrive in India, aboard an AN-124 super-heavy transport. The program was supposed to be finished already, but Indian delays complicated things as usual (q.v. Aug 2/09 entry). Sources: UAC release.

Deliveries begin

2009 – 2011

1st flight; Deliveries will be late, but it seems to be mostly India’s fault; Basing arrangements; Trouble with Russian spares all across the IAF.

Indian Ocean

Punjab region, India(click to view full)

April 27/11: Spares trouble. Problems obtaining spares for its Russian equipment have driven India to look elsewhere, issuing RFPs to the global market for:

“…spares for MiG-23, MiG-27 [DID: incl. engines] and MiG-29 combat planes, IL-76 heavy-lift planes, IL-78 midair refuelers, all Mi-series of helicopters, Pechora and OSA-AK air defence missiles and P-18 and P-19 radars [plus AN-32 aerial transport engines].”

This may help to explain why the MiG-35 didn’t even show for Aero India 2011, and wasn’t shortlisted for the M-MRCA competition. Sources: IANS, “Delays in Russian spares force India to go shopping worldwide”.

Feb 9/11: At Aero India 2011, RIA Novosti quotes UAC CEO Mikhail Pogosyan is quoted as saying that:

“The first upgraded [MiG-29] plane, I think, will be delivered in 2011… The whole [Indian MiG-29] upgrade program will be carried out on schedule agreed with the Indian side, and it will take several years to implement it.”

That is later than the original program goal. The proof, as always, will be in the delivery.

Feb 4/11: Testing. RAC MiG says that “On February 4, 2010, a MiG-29UPG fighter [upgraded for India] carried out its first test flight [today]. The flight lasted for an hour and was flawless.”

This is a key marker for the program, which was supposed to have begun deliveries nearly a year before this event. RIA Novosti.

1st flight

March 25/10: Sub-contractors. Thales announces a contract from RSK-MiG to deliver IFF1 Combined Interrogator Transponder (CIT) and Cryptographic National Secure Mode (NSM) equipment, as part of the 63-plane MiG-29 retrofit. The first CIT will be delivered to RSK-MiG in 2010, but comprehensive secure identification capability isn’t expected to be in India until mid-2011.

The IFF CIT equipment chosen in the TSB 2500 family offers a modern digital identification capability, compliant with the latest NATO Standard MKXA2 modes and ICAO3 standards and regulations. It can securely operate either with cryptographic national mode or with the Mode 4 / Mode 5 NATO modes. This will enable Indian Air Force MiG-29 fighter aircraft to be interoperable with western military aircraft, and so avoid friendly fire in coalition situations. See also Zee News.

Nov 23/09: India’s Ministry of Defence offers an update on the upgrades, which reiterates basic details but does not discuss the key issue of expected completion times:

“The government signed a contract for upgrades of MiG-29 aircraft with M/s Russian Aircraft Corporation (RAC MiG) on 7 March 2008. The MiG-29 aircraft upgrade is planned in two phases namely Design & Development (D&D) phase in Russia and series upgrade in India. Upgrade of six aircraft in D&D phase commenced from August 2008. The series upgrade for the remaining aircraft is expected to be carried out in India from June 2010 onwards. The cost of the upgrade of the MiG-29 aircraft is 964 Million US Dollars.”

Oct 6/09: Basing. Reports from India say that all of the upgraded MiG-29SMTs will be stationed at Adampur Air Force Base, located in the northwest Punjab region overlooking Pakistan and Kashmir. Adampur is also the home base for India’s Garud commandos, who performed superbly at an American Red Flag exercise in 2008. An unnamed IAF officer is quoted as saying that the 1st lot of 6 upgraded MiG 29s is expected to reach Adampur by mid-2010, with the remaining aircraft arriving by the end of 2013.

Time will tell if that schedule is met, especially given past reports of program delays. Defense News | domain-b | Indian Express | New Kerala | Press Trust of India | Pakistan’s Daily Times.

Sept 18/09: Russia’s RIA Novosti quotes an unnamed “Russian defense industry source” who says that Russia will finish upgrading India’s MiG-29s in 2013.

Aug 2/09: Indian non-performance. The Hindu reports that India’s MiG-29 upgrade could be delayed by a year or more. The first upgraded MiG-29 was scheduled to fly into India in March 2010, but the entire project is reportedly being held up by IAF non-performance.

India typically insists on including an array of locally-developed electronics in military orders, and the MiG-29 upgrade is no exception. In order to accomplish that, the contract stipulates that the IAF must give RSK MiG the associated list of equipment, dimensions, and specifications. That list has yet to be finalized, leading officials at RSK MiG to tell The Hindu that they now expect a delay of at least 8 months.

Under the contract, RSK MiG is to upgrade the first 6 aircraft in Russia, then ship kits that will allow the IAF’s 11 Base Repair Depot (BRD) at Nasik to handle the other 56 planes. A total of 14 more refurbished MiG-29s were supposed to roll out of 11BRD between April 2010 – March 2011, but the delay at RSK-MiG is likely to translate into a delay of at least a year for Nasik.

March 16/09: No groundings here. The Times of India reports that Russian decision to ground its MiG-29 fleet after a couple of accidents caused by the disintegration of the plane’s tail fins, will not extend to the Indian fleet. It quoted an unidentified “senior officer,” who said that:

“We continue to fly our MiG-29s, which were inducted in the mid-1980s, from our airbases at Halwara and Jamnagar. We have our own method of regular maintenance and other technical checks, which are underway… Our checks are stringent since we operate our MiG-29s also from coastal airbases (Jamnagar) and Russian metallurgy is susceptible to salinity.”

That was prescient, as Russia’s accident investigation eventually cited structural faults in the aircraft due to corrosion on the fin root ribs. The Times of India report adds that 6 Indian MiG-29s are already in Russia for upgrades. The rest will reportedly be run through the IAF base repair depot at Nasik, thanks to transfer of technology arrangements, with project completion scheduled for 2014.

The problems in Russia will, however, delay delivery of new MiG-29K naval variants to the Indian Navy.

2004 – 2008

Initial reports, but the deal is signed in 2008; Meanwhile, the rest of the fleet continues to slip.

MiG-29

Prep the Baaz(click to view full)

March 7/08: India and Russia sign an INR 38.4 billion (about $952 million) contract to upgrade its MiG-29 fighter jets over the next 3 years. The plan is intended to help the Indian Air Force extend the service life of its 69 Mig-29 aircraft (5 squadrons) from the present 25 years/ 2,500 flight-hours to 40 years/ 3,500 flight-hours, while adding upgrades and ground attack capability.

The Times of India reports that the first 6 Mig-29s will be upgraded in Russia, while the rest be done at Ohjar AFS near the western city of Nasik, using equipment kits supplied by RAC-MiG. Ohjar is currently the overhaul center for MiG-21sw, 23s, 37s, and 29s, and an anonymous Indian official quoted by Agence France Presse was clear on the reasons for making it the program’s center:

“The pre-condition was a “precaution” against delays in the modernisation of the MiG-29s which are among the main combat planes in India’s inventory. “We learnt our lessons with the MiG-21 project,” he added, alluding to years of delay in the promised upgrade by Russia of the jets.”

The usual 30% foreign industrial offset rules also apply to this deal, and will be fulfilled by setting up setting-up simulator centers, spares depots and service centers for maintenance and repair of the aircraft and its Zhuk family radars. When these moves are added to the 2006 agreement to license-produce the R-33 series 3 engine in India (q.v. Sept 4/06 entry), it becomes clear that India has is also addressing its MiG-29 fleet’s history of long service delays, by removing its dependence on Russia. Sources: Times of India | RIA Novosti | Russia InfoCentre | Pravda | Agence France Presse | Avitation Week | Domain-b.

Deal signed

Aug 29/07: Delays. An India MoD release details growing pressure on the rest of the fleet thanks to program delays:

“There has been some delay in upgradation of MiG-21 Bison, NavWASS Jaguar and MiG-27 aircraft due to delays in design and developments phase. The projects are closely monitored to mitigate the delay.”

Dec 14/06: Deal? No. MosNews reports that this deal is signed for around $850 million, with work to be carried out exclusively by RSK-MiG. The deal reportedly covers 66 aircraft (down 1 due to a November 2006 crash), and will feature more powerful radars, advanced avionics and a new engine variant as well as air-to-air re-fueling capabilities.

The report turns out to be premature.

Sept 4/06: Industrial. Kommersant reports that a deal has been done to produce RD-33 Series III jet engines in India. These engines will be an improvement on the existing RD-33 Series I and II engines currently installed in India’s fleet. What’s even more important is that engine problems and faulty components will be replaceable from a local source.

Feb 8/06: India is finalizing its program to upgrade the MiG-29 fleet, but they’re already 2 years behind schedule. IANS:

“Granted financial clearance by the defence ministry in fiscal 2005-06, the MiG-29 upgrade project has already been delayed by over two years. It is now likely to commence only in fiscal 2006-07 and be completed around four years later, officials said.”

Of course, even that revised timetable would prove to be wildly optimistic. DID has noted before that this sort of purely bureaucratic delay is a common problem. India’s defense industry is heavily state-owned, and it has unique systemic problems in its defense procurement apparatus.

Appendix A: The IAF’s Numbers Problem

AIR MiG-21 Bison

MiG-21 Bison(click to view full)

A look at the IAF’s composition, projects, and fleet retirements shows the relentless pressure they’re under.

By 2010, the IAF had phased out the majority of its 300-or-so MiG-21s, the 16-18 aircraft in its only remaining swing-wing MiG-23 ground attack squadron, and the IAF’s MiG-25 Foxbat high-speed reconnaissance jets.

India’s 125 or so updated MiG-21 ‘Bisons’ caused a lot of trouble for American jets at COPE India 2004 & 2005, but the type crashes a lot. Since 1971-72, as many as 380 of the IAF’s 872 MiG-21s of all variants have crashed, and crashes continue with the Bison. The type is not expected to last in service beyond 2019.

Around 100-110 swing-wing MiG-27M Bahadur ground attack fighters were temporarily grounded after a crash in 2010, and the 80 or so remaining jets aren’t being upgraded again. The Bahadur’s phase-out is scheduled for 2017.

India has about 118 Jaguar strike aircraft that have been upgraded several times. The latest DARIN III upgrade with a new IAI Elta radar and new F125 engines flew in late 2012, and upgrades are expected to be complete by 2017. The IAF has viewed its Jaguars as deep strike aircraft, with the exception of 1 maritime Jaguar IM squadron. Improving air defenses could make that role chancy, in which case the upgraded Jaguar’s natural shift is into the MiG-27’s similarly dangerous close support role.

MiG-27M India

Indian MiG-27M(click to view full)

At the lower end currently occupied by the MiG-21s, an initial order has been placed for 24 of HAL’s LCA Tejas light fighters. They were expected to arrive by the end of 2010, but production has been slow, and operational status is expected to take until 2014-15. That won’t even begin to dent the fighter gap. Further orders are held up by the fact that key design choices for the full production “Tejas II” upgrade remain in limbo.

In the middle, India has been forced to upgrade its remaining 51 Mirage 2000s to a standard similar to the Mirage 2000-5 or 2000-9. Those upgrades are underway, and include a new radar and new weapons. The upgraded fighters can be expected to serve until around 2030.

The 62 upgraded MiG-29UPGs will join the Mirage/ Vajra fleet in the IAF’s multi-role mid-tier. Under a proposed set of upgrades, these planes would see a set of improvements that would address their biggest deficiencies, insert important upgrades, and change their role from air-superiority planes to full multi-role fighters with modern air-to-air and air-to-ground weapons. A parallel set of deals will invest a good deal of money into local manufacture and repair facilities for key components, removing the Russians from those maintenance chains and hopefully improving mission readiness. A total of 62 planes are included: 54 single-seat fighters and 8 trainers.

India continues to assemble and field SU-30MKI aircraft, under a joint agreement with Sukhoi, and overall orders are pegged at 272 as of 2013. These aircraft will be the high end of India’s air power, can be expected to remain in the force past 2030, and are competitive with or superior to top-end European fighters and American F-15 variants.

PAK-FA

FGFA, MAKS-2011(click to view larger)

A pair of newer projects aren’t even finalized yet.

If Dassault’s Rafale can hold on to its selection and hammer out a viable contract, it would serve beside the SU-30MKIs at the high end of the force. The 100 or so planes would offer some compatibilities with the upgraded Mirage 2000s, but will come at about twice the SU-30MKI’s price. If budget pressures intervene and Tejas continues to lag, India could be forced to buy a less expensive mid-tier plane instead. MMRCA is already late, however, and the Indian government might have a case for paying more now, rather than running another competition that will take them 5+ years.

At some point, India’s FGFA (SU-50?) stealth fighter will become the new high end of the force. India hopes to order 144 planes, but the existence of even a final design is in question, let alone a contract. The IAF is unlikely to have any operational FGFA fighters before 2025 on the present schedule, and India’s record of project performance makes 2030 an unsafe bet.

Seen in this context, upgraded MiG-29s aren’t merely a useful adjunct. Over the 2015 – 2025 period, they’re crucial to India’s fighter fleet.

Additional Readings
  • UAC subsidiary RAC MiG – MiG-29SMT, upgraded MiG-29UB aircraft
  • Air Force Technology – MiG-29 Fulcrum High-Performance Combat Aircraft, Russia. Most Indian aircraft are MiG-29Bs, downgraded from Soviet MiG-29As by removing Soviet IFF & datalink equipment, and reportedly a slightly downgraded radar as well. The MiG-29SMT upgrade will represent a major step forward for the aircraft, on multiple fronts.
  • Bharat Rakshak has a lovely photo gallery of Indian MiG-29s.
  • Avaiation Safety Network – MiG-29. Shows 14 crashes of IAF MiG-29s since 1994.
  • JSC Klimov – RD-33 Family. The MiG-29’s engine, which is also used by other platforms like China’s J-10, China & Pakistan’s JF-17/ FC-1. The MiG-29UPG uses the RD-33 Series 3.
  • Wikipedia – Zhuk Radar.
  • Tactical Missiles Corp. JSC – RVV-AE Air-to-Air Guided Missile. Latest export version of the R-77/ AA-12 medium range air-to-air missile. Earlier versions are already in service in India, equipping its SU-30 MKIs, and this missile family has also seen a limited Navy buy for its new MiG-29Ks.
  • IANS, via WayBack (Feb 8/06) – India’s MiG-29 fighter jets to be upgraded by Russia.
  • The Rest of the Fleet Categories: Avionics, Contracts - Intent, ECM, Fighters & Attack, Force Structure, France, India, Israel, Other Corporation, Radars, Russia, Support Functions - Other

    Canon EOS RP: second EOS R-series model confirmed | killexams.com real questions and Pass4sure dumps

    Canon has finally confirmed the much-leaked, highly anticipated EOS RP, the second full-frame camera in the company’s newest EOS R series.

    The model arrives just five months after the launch of the EOS R, the first camera in the series. Aimed at the more novice user looking to step up to full-frame photography, the model has the honor of being not only the smallest interchangeable-lens camera with a full-frame sensor to bear Canon’s branding, but with a weight of just 485g with a battery and memory card in place, it’s also the lightest by some margin.

    Furthermore, with an asking price that’s less than half of the EOS R’s, it presents a more accessible option for budget-conscious users keen on adopting the EOS R system.

    Canon EOS RP: features
  • 26.2MP full-frame CMOS sensor 
  • 4K video to 25p (Full HD to 60p) 
  • RF lens mount
  • The EOS RP brings together a 26.2MP full-frame sensor with the same RF lens mount that features on the EOS R. The sensor bears the same total and effective pixels as the one inside the EOS 6D Mark II DSLR, although Canon has said that the version here is slightly different (presumably to support 4K video recording).

    The RF mount in front of the sensor accepts a limited number of lenses right now, although Canon has separately confirmed the development of further RF-series lenses that will shortly become available, which should bring the total number of native options to 10 by the end of the year.

    Canon EOS RP specs

    Sensor: 26.2MP full-frame CMOS sensor

    Lens mount: Canon RF mount

    Screen: 3.0-inch vari-angle touchscreen, 1,037,000 dots

    Burst shooting: 5fps (4fps with Servo AF)

    Autofocus: Dual Pixel CMOS AF

    Video: 4K

    Connectivity: Bluetooth and Wi-Fi

    Battery life: 250 shots

    Weight: 485g with battery and memory card

    In the meantime, users are also able to mount an exhaustive number of EF and EF-S lenses from Canon’s EOS DSLR stable via one of three EF-EOS R adapters, and the model will be made available with the most basic of these adapters as standard. 

    Image stabilization for stills is only available when using a lens with this technology in place, although an additional bonus of using such an optic is that the camera will provide information from the sensor to deliver better correction over blur, a previously-seen partnership known as Dual Sensing IS.

    The EOS RP’s 26.2MP sensor provides a native sensitivity range of ISO100-40,000, although extension settings alongside boost this to settings equivalent to ISO50 at the lower end of the scale and ISO102,400 at the other extreme. Processing is handled by the same DIGIC 8 engine as the EOS R, while raw files can be recorded in the most recent CR3 format, which shaves 40% off the size of standard files.

    This processing engine also allows the camera to record 4K footage to a maximum 25fps, as well as Full HD videos to 60fps. This is bolstered by 3.5mm ports for both headphones and microphones, together with a range of video-specific functionality, from 4K timelapse shooting and a Video Snapshot mode, through to Movie Servo AF and a five-axis Movie Digital IS option that provides (electronic) compensation over shaky footage. 

    The longstanding Digital Lens Optimiser correction feature is also on hand to help improve sharpness when capturing images at smaller apertures, as well as to offset the effects of the low-pass filter, and this can be used across RF and EF lenses registered to the camera. 

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    Built-in Wi-Fi and Bluetooth, meanwhile, make it possible to operate the camera with a smart device using the Canon Connect App. This app also allows for GPS information to be embedded into images captured on the EOS RP, while a separate Canon DPP Express app can be used to import raw files for processing on smart devices.

    Metering is handled by the main imaging sensor, with 384 separate zones used for measurement, and this provides the familiar evaluative, center-weighted average, spot and partial quartet of patterns. A silent shooting mode is also on hand, although this appears to mirror the option on the EOS M50 in being confined to a scene setting, rather than available as an option the can be called upon regardless of exposure mode. It’s not clear whether this will allow any extension to the shutter speed range allowed by the mechanical shutter, which has a maximum shutter speed of 1/4000sec.

    Canon EOS RP: AF and burst shooting
  • Dual Pixel CMOS AF system 
  • AF working range down to -5EV 
  • 5fps burst shooting
  • Familiar focusing features on the EOS RP include Canon’s well-established Dual Pixel CMOS AF system, which uses phase-detect AF pixels on the main imaging sensor to perform autofocus. This system is also at the heart of face detection and Eye AF, the latter keeping a lock on the subject’s eye to ensure it remains in focus. Dual Pixel CMOS AF works for both stills and videos, although videos captured at a 4K resolution can only make use of contrast-detect AF.

    It’s possible to call upon 4779 individual AF points, which cover 88% of the horizontal area and 100% of the vertical stretch. Spot AF, used for focusing on particularly small subjects, and focus bracketing for macro work can also be called upon where required.

    Images can be captured continuously at a maximum rate of 5fps, although this drops to 4fps when shooting with Servo AF activated. Impressively, Canon claims that with a fast UHS-II memory card in place the camera will essentially provide an unlimited buffer, whether you’re capturing raw files or JPEGs.

    Canon EOS RP: LCD screen and viewfinder
  • 0.39-inch OLED EVF, 2.36million dots 
  • 3-inch vari-angle touchscreen LCD, 1.04 million dots 
  • Touch-sensitive LCD panel
  • The EOS RP’s electronic viewfinder isn’t quite the same as the panel on the more senior EOS R, in that it’s been designed with a 2.36 million-dot OLED panel rather than the familiar 3.69 million-dot alternative. Likewise, its 0.39-inch size and 0.7x magnification should provide a smaller view than the EOS R’s 0.5-inch panel with its 0.76x magnification, although it does at least match it in providing approximately 100% coverage of the scene.

    The viewfinder is joined by a 3-inch vari-angle LCD that can be pulled out and twisted to face in different directions, including all the way round to face the front. This screen is touch-sensitive, enabling the user to set the focusing point when composing images and videos through the LCD screen, although additional support for the Touch and Drag AF feature – whereby the user can swipe the screen with their thumb to the chosen point of focus while using the viewfinder – can also be used where necessary.

    Touch sensitivity extends to other parts of the camera’s operation, such as swiping through and zooming into captured images, as well as for the adjustment of camera settings in the Quick menu, among other things.

    Canon EOS RP: build and design
  • Magnesium alloy chassis 
  • 440g (485g including battery and memory card) 
  • 250-shot battery life
  • Canon has designed the EOS RP’s body with magnesium alloy paneling for rigidity and lightness, with aluminum, polycarbonate resin and glass fibers used elsewhere. Reassuringly, seals on the inside provide protection against both dust and moisture, which isn’t something we always see on models aimed at more novice users.

    In further good news, Canon has decided to drop the EOS R’s awkward M-Fn bar for this new model, while there’s a single card slot for SDHC and SDXC cards rated to UHS-I and UHS-II specifications on the side of the body. Disappointingly, the camera looks set to offer just a 250-shot battery life, which is relatively weak even for a mirrorless model. 

    Canon has also confirmed that it’s developing a new superzoom optic for the range, the RF 24-240mm f/4-6.3 IS USM, which combines a 10x optical zoom range with an Image Stabilizer. Aimed at the traveling photographer, it joins five other lenses set for release throughout 2019.

    Canon EOS RP: price and release date

    The EOS RP is set for release on February 27, with three configurations confirmed, although availability of these varies by region. 

    As with the EOS R, it won’t be possible to buy the body on its own in the US and UK – instead, the most affordable option includes the body and the Mount Adapter EF-EOS R, which will be priced at $1299.99 / £1,399.99.

    Curiously, Australia does get a body-only option, which is priced at AU$2,099, while the Mount Adapter bundle ups the cost slightly to AU$2,149.

    A kit that adds the 24-105mm f/4L IS USM lens on top of this, meanwhile, will retail for $2,399.99 in the US and £2,329.99 in the UK. Australian pricing and availability for the latter kit is still TBC.


    Basic Units of Inter-Individual Variation in Resting State Connectomes | killexams.com real questions and Pass4sure dumps

    Subjects and data acquisition

    All subjects and data were from the HCP-1200 release30,31. All subjects provided informed consent. Subject recruitment procedures and informed consent forms, including consent to share de-identified data, were approved by the Washington University institutional review board, and all research was performed in accordance with relevant guidelines and regulations. Four runs of resting state fMRI data (14.5 minutes each; two runs per day over two days) were acquired on a modified Siemans Skyra 3 T scanner using multiband gradient-echo EPI (TR = 720 ms, TE = 33 ms, flip angle = 52°, multiband acceleration factor = 8, 2 mm isotropic voxels, FOV = 208 × 180 mm, 72 slices, alternating RL/LR phase encode direction). T1 weighted scans were acquired with 3D MPRAGE sequence (TR = 2400 ms, TE = 2.14 ms, TI = 1000 ms, flip angle = 8, 0.7 mm isotropic voxels, FOV = 224 mm, 256 sagittal slices). T2 weighted scans were acquired with a Siemens SPACE sequence (TR = 3200 ms, TE = 565 ms, 0.7 mm isotropic voxels, FOV = 224 mm, 256 sagittal slices).

    Subjects were eligible to be included if they had structural T1 and T2 data and had 4 complete resting state fMRI runs (14 m 30 s each; 1206 subjects total in release files, 1003 with full resting state and structural).

    Data preprocessing

    Processed volumetric data from the HCP minimal preprocessing pipeline including ICA-FIX denoising were used. Full details of these steps can be found in Glasser32 and Salimi-Korshidi33. Briefly, T1w and T2w data were corrected for gradient-nonlinearity and readout distortions, inhomogeneity corrected, and registered linearly and non-linearly to MNI space using FSL’s FLIRT and FNIRT. BOLD fMRI data were also gradient-nonlinearity distortion corrected, rigidly realigned to adjust for motion, fieldmap corrected, aligned to the structural images, and then registered to MNI space with the nonlinear warping calculated from the structural images. Then FIX was applied on the data to identify and remove motion and other artifacts in the timeseries. These files were used as a baseline for further processing and analysis (e.g. MNINonLinear/Results/rfMRI_REST1_RL/rfMRI_REST1_RL_hp2000_clean.nii.gz from released HCP data).

    Images were smoothed with a 6 mm FWHM Gaussian kernel, and then resampled to 3 mm isotropic resolution. This step as well as the use of the volumetric data, rather than the surface data, were done to allow comparability with other large datasets in ongoing and planned analyses that are not amenable to surface-based processing.

    The smoothed images then went through a number of resting state processing steps, including a motion artifact removal steps comparable to the type B (i.e., recommended) stream of Siegel et al.34. These steps include linear detrending, CompCor to extract and regress out the top 5 principal components of white matter and CSF35, bandpass filtering from 0.1–0.01 Hz, and motion scrubbing of frames that exceed a framewise displacement of 0.5 mm. Subjects with more than 10% of frames censored were excluded from further analysis, leaving 966 subjects. A resting state quality control plot36 relating motion effects by edge length showed a near zero mean (0.006), low dispersion around the mean (sd 0.06) and absence of a meaningful distance-dependent relationship.

    Connectome generation

    We next calculated spatially-averaged time series for each of 264 4.24 mm radius ROIs from the parcellation of Power et al.25. We then calculated Pearson’s correlation coefficients between each ROI. These were then were transformed using Fisher’s r to z-transformation.

    Train/Test/Retest Split

    The 966 subjects after exclusions were divided into three groups. First, 38 subjects who had two separate completed scans were set aside for later test-retest reliability analysis. Of the remaining subjects, 18 did not have complete behavioral data for our analyses so were excluded. Next, 100 unrelated subjects were randomly selected from all unrelated subjects to serve as our held out test set, with the other 810 serving as our training set.

    Estimation of intrinsic dimensionality

    In the training dataset, each subject’s connectome was vectorized and concatenated yielding an 810 subjects × 34,716 connections matrix. We estimated the number of intrinsic dimensions of this matrix using two methods.

    First, we used a maximum likelihood estimation method based on distance between similar subjects37, appropriate for low-dimensional data that is embedded in a high-dimensional space in a complicated, potentially non-linear, fashion. Levina and Bickel37 provide a full derivation of the estimator using a Poisson approximation and demonstrate improved performance relative to alternatives in simulated and real data. The method averages over a range of values of k, the number of nearest neighbors, from k1 to k2. We used the default values k1 = 10 to k2 = 20 suggested by the original paper.

    For comparison, we also applied the method of Choi et al.38, which aims to provide an upper bound on the number of dimensions with exact type 1 error control. This is a distribution-based method that leverages a post-selection inference framework, extending the work of Taylor, Loftus, and Tibshirani39 to the PCA setting.

    Principal component analysis

    The subjects x connections matrix from the training dataset was next submitted to principal components analysis using the pca function in MATLAB, yielding 809 components ordered by descending eigenvalues.

    Visualizing and assessing low-rank structure

    After performing PCA on the training dataset, we converted eigenvalues into percentage variance explained by dividing each eigenvalue by the sum of all eigenvalues, and plotted these percentages from highest to lowest. To assess how much these deviate from what one would expect to find by chance, we constructed an empirical null distribution of percentage variance explained as follows. We represented each subject by their BOLD time series for each ROI, with time series arranged in rows and ROIs corresponding to columns. Time series differed slightly in length across subjects due to motion scrubbing. Thus we calculated the minimum sized time series for any included subject (4320 timepoints) and randomly retained 4320 time points for each subject. Then for each subject i and each ROI j, we switched the associated time series with ROI j’s time series from some other randomly selected subject. This destroyed dependence between ROIs within a subject, while maintaining a realistic data structure in every other way. These shuffled subject matrices were converted to connectomes as before, PCA was applied, and percentage variance explained was obtained for all eigenvalues. This was repeated 1000 times to obtain a distribution of percent variance explained values for leading eigenvalue components. This distribution corresponds to the null hypothesis of no dependence between ROIs and therefore absence of low-rank structure, and can be used to assess whether the data could have appeared to be low rank by sheer chance.

    Assessing out-of-sample reconstruction

    We examined the ability of a k-sized basis set (consisting of the first k PCA components ordered by descending eigenvalues), to reconstruct out-of-sample data, systematically varying the size of k. First, a full set of 809 PCA components were learned on the training dataset. Next, for each value of k from 1 to 809, we did the following: Using multiple regression, each subject in the held out test dataset was reconstructed as a linear combination of the first k components. Goodness of reconstruction was measured by calculating the Pearson’s correlation across edges between actual versus reconstructed connectomes for each subject, and averaging across subjects.

    Assessing phenotypic prediction HCP phenotypic measures

    We used a total of 11 phenotypes from the HCP data. Factor analysis, implemented in SPSS 23 (IBM, Armonk, NY), was used to produce two neuropsychological factors from the HCP task data. First, a general executive factor was created based on overall accuracy for three tasks: n-back working memory task, relational processing task, and Penn Progressive Matrices task. Factor loadings were 0.81, 0.80, and 0.76 respectively, and the factor accounted for 62.2% of the variance in the variables. A speed of processing variable was created based on three NIH toolbox tasks: processing speed, flanker task, and card sort task (all age-adjusted performance), similar to40. Of note, the first of these three tasks is designed to be a measure of processing speed, while the latter two primarily reflect processing speed because for most subjects in the HCP dataset, accuracy is close to ceiling41. This variable had loadings of 0.75, 0.81, and 0.82 respectively, and the factor accounted for 63.0% of the variance in the variables. From the Adult Self Report (ASR) instrument42, we used three scale-derived summary scores for psychopathology: overall internalizing, overall externalizing, and attention. In addition, from the Neuroticism/Extroversion/Openness Five Factor Inventory instrument43, we used the five personality factors: openness to experience, conscientiousness, extroversion, agreeableness, and neuroticism. Finally, we used the Penn Progressive Matrices task by itself as it has been featured in other connectome-based prediction studies of HCP data44,45.

    In an additional analysis, we used multiple regression to remove a number of potential confounders from each of the 11 phenotypic variables. Following a recent analysis that used HCP data to predict phenotypes46, variables regressed from the phenotypes were: age, age squared, mean FD, mean FD squared, gender, brain size (S BrainSeg Vol), brain size squared, and multiband reconstruction algorithm version number (fMRI 3 T ReconVrs). Analyses involving phenotypic prediction were then repeated with the confounder-adjusted phenotypes. Results were broadly similar to the original analyses, and are presented in the Supplement.

    Brain basis set modeling

    To generate predictions of phenotypes from a basis set consisting of k components, we used Brain Basis Set (BBS) modeling (similar to the approach introduced in27). This approach is similar to principal component regression47,48, with an added predictive modeling element. In a training partition, we calculate the expression scores for each of k components for each subject by projecting each subject’s connectivity matrix onto each component. We then fit a linear regression model with these expression scores as predictors and the phenotype of interest as the outcome, saving B, the k × 1 vector of fitted coefficients, for later use. In a test partition, we again calculate the expression scores for each of the k components for each subject. Our predicted phenotype for each test subject is the dot product of B learned from the training partition with the vector of component expression scores for that subject.

    Identification of prediction plateaus using 10-fold cross-validation

    We assessed prediction of HCP phenotypes as a function of the number of basis components used for prediction, in order to identify plateaus where adding additional components does not enhance predictive accuracy. This analysis was performed using a 10-fold cross-validation procedure within the training dataset split described above (to preserve the test dataset for additional analyses described below). On each of the ten folds, we used the training folds to learn new PCA components and then estimated regression coefficients for BBS modeling. We then made predictions for the phenotypes on the held out fold. The correlations between actual phenotype and predicted phenotype on the held out fold were then averaged across the ten folds.

    BBS comparison with CPM using independent sample validation

    To further assess the effectiveness of a low-rank basis set for capturing phenotypic differences in the HCP dataset, we compared the accuracy of phenotypic predictions derived from the 100 component basis set (coupled with BBS modeling) with predictions from an alternative leading method: connectome predictive modeling (CPM)49, which has achieved excellent results in a number of studies using diverse phenotypes44,50,51,52,53. In brief, CPM is first trained with every edge of the connectome to identify edges that are predictive of the phenotype of interest above some prespecified level (e.g., Pearson’s correlation with significance of p < 0.01). The sum of weights for these specified edges is then calculated for each training subject and related to actual scores with a linear model. Test subject sums are calculated and multiplied by the beta from the fitted model to generate predicted scores that are correlated with the actual phenotypic scores. CPM treats positively and negatively predictive edges differently, and we focus on the positive edges in the main article, following the typical practice of its authors, and present results for negative edges in the Supplement. We assessed the accuracy of predictions with each method with correlation coefficients between actual and predicted phenotypes.

    Density of parcellation analysis

    To assess the robustness of the analysis to parcellations of systematically varying densities, we used the set of parcellations created by Craddock et al.54. These parcellations (available here: http://ccraddock.github.io/cluster_roi/atlases.html) were produced with a spatially constrained spectral clustering approach that, for preset values of K, produces approximately K functionally and spatially coherent regions. We utilized parcellations with K ranging from 100–900 in intervals of 100. For each parcellation, we repeated the above analyses in order to assess whether our three methods for identifying low-rank structure (assessment of: intrinsic dimensionality, out-of-sample reconstruction, and phenotypic prediction) differed according to parcellation density. Of note, our implementation of the method of Choi et al. did not converge for larger parcellations (K > 500) and so we focus on the method of Levina and Bickel for this analysis.

    Assessing community structure

    For all 809 components derived from the training dataset, we assessed the presence of community structure corresponding to ICNs from the parcellation of Power et al.25 by fitting a stochastic block model (SBM)55, a well-established generative model for graphs, coupled with a non-parametric testing procedure. For each of the 809 components, we first fix node community assignments according to the Power et al. parcellation25, and then estimate the parameters of a SBM with these fixed assignments. We replace the Bernoulli distribution assumption on binary edges made by the classical SBM with a normal distribution assumption on edge weights, since we work with Fisher-transformed correlations as edge weights. Once these parameters are estimated, we compute the corresponding profile log-likelihood statistic. We then randomly permute node labels many times, keeping the total number of nodes in each of the communities fixed, re-estimate parameters, and obtain a profile log-likelihood value for an SBM corresponding to permuted node community labels. We then obtain a p-value by comparing the profile log-likelihood for the Power parcellation to the empirical null distribution of profile log-likelihoods, adjusting for multiple comparisons using Bonferroni’s correction to control the Family-Wise Error Rate at α = 0.05. A more detailed description of this procedure is provided in the Supplement.

    Test/Retest reliability

    Test-retest reliability was assessed in 38 subjects in the HCP test-retest dataset. Reliability was assessed with the intra-class correlation (ICC) statistic, specifically type (2,1) according to the scheme of Shrout and Fleiss56. For each subject, ICC’s were calculated for each individual edge as well as for expression scores for each component in the 100-member basis set. Since aggregating edges can itself improve ICC, we also examined ICC’s for “random” aggregations of edges, created by randomly permuting the columns of each vectorized component. For each component, 1000 randomly permuted components were created in this way. ICC’s for the expressions of these components were calculated, and we report the mean and 95% confidence interval for the permutation-based null distribution.



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