Tablet PC Понуда Од Anhoch

Total Page:16

File Type:pdf, Size:1020Kb

Tablet PC Понуда Од Anhoch ANHOCH ЦЕНОВНИК ЗА ТАБЛЕТ КОМПЈУТЕРИ – 11.11.2013 Tablet PC понуда од Anhoch 7" 7" 7" Keyboard case 7" GoClever LDK GoClever Ainol Terra 70L MID-A12 TAB R70 Novo7 Rainbow White White/Black A13 1GHz Multi Core DualCore Cortex A5 1.GHz 8GB SSD RockChipRK 292 6 Cortex A9 1GHz Boxchip A131 .0 GHz 4 GB SSD 512MB DDR3 RAM 4 GB SSD 4GB SSD 512MB RAM 7” capacitive 800*480 screen 512MB RAM 512MB DDR3 RAM 7" LCD TFT 800x480 multi-touch FrontCam w/mic 7” 16:9 capacitive multitouch 7" 800*480 Multi-Touch FrontCamw / mic WiFi b/g/n FrontCamw / mic WiFi b/g FrontCam 0.3M USB Ports micro-USB OTG WiFi b/g/n micro SD; WiFi b/g/n , 3G USB support miniHDMI 1.4 FullHD micro SD, Android OS 4.0.4 SD card, miniUSB microSD up to 32GB Android OS 4.1 Color : Black, Red, Purple Android OS 4.0 Android OS 4.1 3.280 ден 3.480 ден 3.580 ден 3.580 ден 7" 7" 9" 7" LDK LDK Firefly B7109 Firefly S7000 LDK LDK Black/Pink/Red Firefly B9005 Firefly B7107 Dual Core A20 1.2Ghz Sunplus ARM-Contex A8 1.2 GH Boxchip A13 1.2Ghz Dual Core A20 1.2Ghz GPU: Mali-400MP2 OpenGL ES2.0 GPU:PowerVR SGX531 OpenGL ES 2 8GB SSD 16GB SSD 8GB SSD 8;GB SSD 512 MB DDR3 RAM 521MB DDR3 RAM 1G B DDR3 RAM 512 MB DDR3 RAM 7” 800*480 Capactive 9” 800x480 Capactive 7” 1024*600 Capactive 7” 800*480 Capactive DUAL cameraFront 0.3M, Back2 M front camera 0.3M with mic front camera 0.3M, Back 2.0MP DUAL cameraFront 0.3M, Back 0.3M WiFib/g/n ; micro SD, WiFi b/g/n ; WiFi b/g/n ; WiFib/g/n ; micro SD, Battery30 00mAh Lithium-polymer HDMI, micro SD, HDMI, micro SD, Battery 2400mAh Lithium-polymer Android OS 4.2 Games Support Android OS 4.1 Android OS 4.2 Android OS 4.2 * Flash 11 games, Flash online games (SWF) 3.980 ден 4.480 ден 4.780 ден 4.980 ден 8" 7" QUAD CORE 8" C-IPS 8" c-IPS LDK Ainol Novo7 LDK LDK MID-A83 Crystal II Firefly B8102 Firefly B8102 black/white Boxchips A131.2GHz Multi Core Dual Core A20 1.2Ghz Boxchip A20 Dual Core 1.2Ghz 8 GB SSD Quad Core 1.5GHz 8GB SSD 16GB SSD 512MB DDR3 RAM 8GB SSD 1G B DDR3 RAM 1GB DDR3 RAM 8” 4:3 TFT 800*600 1GB DDR3 RAM 8” 1024*768 c-IPS Capactive 8” 1024*768 c-IPS Capactive FrontCamw / mic 7" HD 1024*600 Multi-Touch front camera 0.3M/ Back 2MP FrontCam 0.3MP WiFi b/g FrontCam 0.3M WiFi b/g/n ; Bluetooth WiFi,3G USB support, miniHDMI, micro SD, WiFib/g /n , 3G USB support HDMI, micro SD, SD cardup to 32GB, Bluetooth Android OS 4.0 miniHDMI, SD card, miniUSB Android OS 4.2 Android OS 4.1 Android OS 4.2 4.980 ден 5.280 ден 5.480 ден 5.980 ден 7" IPS Screen 7" LG IPS Screen 7" LG IPS Screen 7" GPS LDK Ainol Ainol Firefly B7220 Novo 7 Flame Novo7 Venus ACER ICONIA black/white Tab B1-A71 Cortex A7 Quad Core 1.6 GHz Cortex-A9 dual core 1.5GHz Cortex A9 1.2 Dual core 8GB SSD 16GB SSD Quad core 1.5GHz 16GB SSD 8GB SSD 1GB DDR3 RAM 1GB DDR3 RAM 512MB RAM 7" HD 1280*800 Multi-Touch IPS 7" HD 1280*800 Multi-Touch IPS 1GB DDR3 RAM 7" HD 1280*800 Multi-Touch IPS FrontCam w/mic FrontCam 0.3MP, Back 2 M P FrontCam 2MP, Back 5 M P 7”screen 1024 x 600 TN Glare WiFi, 3G USB support , WiFi, 3G USB support , bluetooth FrontCam 0.3M, Back 2.0M WiFib/g /n , 3G USB support Bluetooth ;,GPS Wi-Fi, micro SD card, miniHDMI, SD card, microUSB 3.0 USB 2.0 , Micro SD miniHDMI, SD card, microUSB 3.0 Android OS 4.1 Android OS 4.0 Android 4.1 Metal case Android OS 4.1 5.980 ден 5.980 ден 6.480 ден 6.580 ден 1 7" 10 ,1" C-IPS 7" IPS 7" GPS LENOVO Asus LDK ASUS ME172V IdeaTab A1000 MemoPad ME172V Firefly B1010 White/ Black CPU VIA WM8950 1Ghz CPU VIA WM8950 1Ghz VGA ARM Mali-400 3D graphics MediaTek Mt8317 1.2Ghz 16GB SSD Dual Core A20 1.2Ghz 32GB SSD 1GB RAM DDR3 1GB RAM 8GB SSD 1GB RAM 16G B SSD ARM Mali-400 3D GPU 1G B DDR3 RAM 7”TN Panel 1024X600 Soda Lime 7.0" (1024x600) LED display multitouch 7”TN Panel 1024X600 Soda Lime 10.1” 1024*600 c-IPS WiFi b/g/n ;GPS/ B luetooth 0.3MP camera with mic FrontCam 1.0M w/mic front camera 0.3M memory card reader, 1 x mini-jack WiFi b/g/[email protected] WiFi b/g/n ; Bluetooth micro SD, WiFi b/g/n; Bluetooth, GPS micro SD / SD reader; USB2.0 HDMI, micro SD, 1.0MP Front Camera micro USB, Lithium-polymer battery Android OS 4.2.2 Battery to 8hrs; Stereo Speakers ANDROID 4.1 Android OS 4.0 Android OS 4.1 6.580 ден 6.680 ден 6.980 ден 7.280 ден 8" QUAD CORE 10 ,1" C-IPS 7" GPS 7" 3G Ainol Novo8 LDK Novo Dream Firefly B1010 ACER ICONIA Numi Ax1 Tab B1-A71 white/black Quad core 1.5GHz Dual Core A20 1.2Ghz Cortex A9 1.2 Dual core Quad Core 1.5GHz, Cortex A9 16GB SSD 16GB SSD 16GB SSD 8GB SSD 1GB DDR3 RAM 1G B DDR3 RAM 512MB RAM 1GB DDR3 RAM 8" , 1024*768 MultiTouch 10.1” 1024*600 c-IPS FrontCam w/mic 10.1" 1024 *6 00 Multi-Touch IPS FrontCam 0.3M, Back 2.0M front camera 0.3M 7”screen 1024 x 600 TN Glare FrontCam2 MP, Back 5M P WiFi b/g/n , 3G USB support WiFi b/g/n ; Bluetooth Bluetooth ;,GPS Wi-Fi, WiFi, 3G USB support , bluetooth miniHDMI, SD card, miniUSB 3.0 HDMI, micro SD, USB 2.0 , Micro SD HDMI, SD card, GPS Battery 6000mAh Android OS 4.2 Android 4.1 Android OS 4.2 Android OS 4.1 7.580 ден 7.580 ден 7.780 ден 7.980 ден 7" 3G/Sim card 8" LG IPS Screen 7" IPS 7" ЕКСТРА ЦЕНА LDK Ainol ASUS HD7 HP Slate 7 MID-A52B Novo 8 Discover ME173X-1A018A White/Blue MTK6575 1.0GHz ATM7029 Quad Core 1.5Ghz CPU Quad-Core, 1.2 GHz Cortex™-A9 Dual-Core 1.6 GHz 8 GB SSD 16GB SSD 8GB SSD 1GB RAM 16GB SSD 2GB DDR3 RAM 1GB RAM 1GB RAM DDR3 7” c-IPS multitouch screen 8" HD 1024*768 Multi-Touch IPS 7" (1024 x 600) WVA multitouch front 0.3M/Rear 2.0M cam w/mic 7" LED 1280x800 Screen IPS Panel FrontCam 0.3MP, Back 2 M P WiFi b/g/n ;GPS/ B luetooth WiFib/g/n ;/ B luetooth micro SD, WiFi b/g/n ; 3G/GPS/BT WiFi,3G USB support, miniHDMI, Accelerometer micro SD, micro SD, SD cardup to 32GB, Bluetooth 1.2 MP Front; 5 MP Rear Camera 0.3MP Fron/ 3MP Rear Camera With Car Charger & Car Holder Android OS 4.1 lStereo speakers Android OS 4.0. Battery 10 hours; Stereo Speakers Aluminum shell case Android OS 4.2 Android OS 4.1 8.180 ден 8.380 ден 8.480 ден 8.580 ден 9,7" C-IPS 7" GPS 10 ,1" IPS 7" 3G/ DUAL SIM Galaxy Tab2 LDK LDK LENOVO Titanium Silver/ MID-A25 Firefly B1200 IdeaTab A2107 White/Silver Cortex A9 1.0GHz DualCore 1 GHz Dual Core 1.6GHz Cortex A9 A31S Quad Core 1.0 GHz 1GB RAM 1GB RAM 16GB SSD 8GB SSD 4GB SSD 8GB SSD 7.0" (1024x600) LED display multitouch 1G B DDR3 RAM 7.0"Capacitive screen 1 GB DDR3 RAM 0.3MPf ront /2.0MP back cam with mic 9.7” 4:3 1024*768 c-IPS multitouch 3MPf ront / 0 . 3 MP back cam with mic 10.1” 1024*800 IPS WiFi b/g/n; Bluetooth front 2.0M/Rear 2.0Mcam w/mic WiFi b/g/n; Bluetooth , GPS front camera 0.3M, Back 2.0MP micro USB, high quality speakers WiFi b/g/n ; Bluetooth USB Host , micro SDHC up to 64 GB WiFi b/g/n ; Bluetooth Dual SIM: WCDMA/GSM+GSM, HDMI, micro SD, Battery Li-Ion 4000 mAh HDMI, micro SD, WCDMA 3G, GPS, Android OS 4.1.1 ANDROID 4.0 Android OS 4.2.2 ANDROID 4.0 8.580 ден 8.580 ден 8.980 ден 9.580 ден 10,1" metal case/IPS 10.1" IPS Screen 7" GPS Battery 9.5 hours Ainol Novo10 Galaxy Tab3 Google Nexus 7 Novo10 Hero Captain Gold brown/ T30L ME370T black/white White (Brown) Cortex-A9 dual core 1.5GHz Quad Core 1.5GHz, Cortex A9 DualCore 1.2 GHz Tegra 3 T30L quad-core 1.2Ghz 16 GB SSD 16GB SSD 1GB RAM 1GB RAM 8GB SSD 16GB memory 1GB DDR3 RAM 2GB DDR3 RAM 7.0"1024x600 Capacitive 16M colors 7" WXGA (1280 x 800) LED IPS panel 10.1", 1280*800 IPS,Multi-Touch 10.1" 128 0*800 Multi-Touch IPS 1.3MPf ront / 3 MP back cam with mic Webcam: 1.2 MP FrontCam 0.3M, Back 2.0M FrontCam 0.3MP, Back 2 M P WiFi b/g/n; Bluetooth , GPS WiFi b/g/n; Bluetooth 1 x micro USB WiFi b/g/n , 3G USB supp ort WiFi, 3G USB support , bluetooth USB Host , micro SDHC up to 32 GB G-sensor, light sensor, gyroscope, miniHDMI, SD card, microUSB HDMI, SD card, Battery Li-Ion 4000 mAh E-compass,GPS , NFC, hall sensor Bluetooth, Shell Material: Metal Android OS 4.2.2 ANDROID 4.1 Battery 9.5 hours Android OS 4.1 Metal case ANDROID 4.1 9.580 ден 10.580 ден 9.980 ден 10.980 ден 2 9.7 " RETINA display 9.7" RETINA display 10.1" IPS 10.1" IPS Ainol Novo9 Toshiba Excite ASUS ME301T LDK Spark AT270-003 White/Blue MID-M972 A31 Quad Core 1.5GHz NVIDIA Tegra3 Quad-Core, 1.6 GHz NVIDIA Tegra3 Quad-Core, 1.2 GHz Quad Core 1.8GHz Cortex A9 16GB SSD ; 1G B RAM 16GB SSD 16GB SSD 16GB SSD 2G B DDR3 RAM 2GB Dual-Channel DDR3 NVIDIA 12-Core Graphic 1GB RAM 9.7” 2048*1536 Retina IPS Display 9.7" 2048*1536 Retina Screen 7.67" 1280x800 IPS Gorilla Glass 10.1" LED WXGA1280x800 IPS Panel front 2.0M/Rear 2.0M w/microphone FrontCam 0.3M, Back 5M WiFib/g/n ;/ B luetooth micro SD, WiFib/g/n ;GPS/ B luetooth micro SD, WiFi b/g/n ; Bluetooth WiFi b/g/n , 3G USB support microHDMI, microHDMI, HDMI, micro SD miniHDMI, SD card, miniUSB 3.0 1.2 MP Front; 5 MP Rear Camera 1.2 MP Front; 5 MP Rear Camera Battery 10.
Recommended publications
  • Cennik Telefonów W Ofercie FORMUŁA MIX Przy Sprzedaży Na
    Cennik telefonów w Ofercie FORMUŁA MIX przy sprzedaży na odległość Obowiązuje od dnia 24.09.2014 do wyczerpania stanów magazynowych objętych niniejszym Cennikiem lub jego odwołania. FORMUŁA MIX Elastyczna FORMUŁA MIX Model 20 30 50 60 30/ 60 50/ 100 60/ 120 100/ 200 2x Tablet Kiano Slimtab 7.85" + 629 559 419 339 449 239 129 1 router Alcatel 20.10 1 1 1 1 1 1 1 1 Alcatel One Touch Star 149 69 1 1 1 1 1 1 Alcatel onetouch Idol 2 Mini S 369 299 159 79 189 1 1 1 Alcatel onetouch Pop C3 49 1 1 1 1 1 1 1 Alcatel onetouch Pop C7 219 149 1 1 39 1 1 1 HTC Desire 310 329 259 119 49 149 1 1 1 HTC Desire 610 589 519 369 299 399 189 79 1 HTC One 1189 1119 979 899 999 789 689 249 HTC One (M8) 1969 1889 1749 1679 1789 1569 1459 1029 HTC One Max 1529 1459 1299 1239 1349 1129 1019 589 Kiano Slimtab 7.85" + router + 339 269 119 49 159 1 1 1 akcesoria LG D280N L65 249 179 39 1 69 1 1 1 LG D290N L Fino 399 339 189 119 229 9 1 1 LG D315 F70 399 329 189 119 229 9 1 1 LG D320N L70 329 259 99 39 149 1 1 1 LG D405 L90 499 439 289 219 329 99 1 1 LG D605 Swift L9 II 429 359 219 139 249 29 1 1 LG D620 G2 Mini LTE 599 529 379 299 419 199 89 1 LG D802 G2 1259 1189 1049 969 1079 869 759 319 LG D821 Nexus 5 1199 1129 979 899 1019 799 689 259 LG D855 G3 1769 1689 1549 1479 1579 1369 1259 819 LG D955 G Flex 2019 1949 1799 1729 1839 1619 1499 1079 LG E430 Swift L3 II 39 1 1 1 1 1 1 1 LG E460 Swift L5 II 199 119 1 1 1 1 1 1 LG E460 Swift L5 II + HP Slate 7 849 779 629 559 669 449 349 1 LG E975 Swift G 979 899 759 689 799 579 469 39 LG P710 Swift L7 II 349 269 129 59 159 1 1 1 LG P760 Swift L9 389 299 169 99 199 1 1 1 P4 SP.
    [Show full text]
  • HP Pavilion Data Sheet
    HP Slate 7 Extreme 4400CA Tablet Portable Powerhouse performance. Gaming Titan. Personal Secretary. Take note. This NVIDIA Tegra 4 powered tablet has a mind to maximize your mojo. It's got lightning-fast web browsing, console-quality gaming, room-booming audio with front firing speakers, silky-smooth video, plus a precision stylus pen for everywhere productivity and anywhere creativity. About model Slate 7 Extreme 4400CA Power Player The all round powerhouse performer. Powered by NVIDIA Tegra 4's lighting fast web browsing, This NVIDIA Tegra 4 processor is fast. Blazing fast. That means all the power to do anything you console -quality gaming, room-booming audio, and a precision-integrated stylus pen. want. Hyper-real, console quality gaming, spectacular room-filling sound, and web surfing that's smooth as silk. Key specifications • Android™ 4.2.2 Jelly Bean Write On • NVIDIA® TEGRA® 4 A15 Quad-Core Processor Discover the creative freedom you desire combined with the personal secretary you've always • 7-inch HD diagonal multi-touch wide viewing angle wanted. The HP Slate 7 Extreme integrated, precision-crafted stylus pen with responsive touch and capacitive display (1280 x 800) pinpoint control provides endless possibilities to compose and create on the run. • Up to 10.5 hours of battery life(30) • 1GB DDR3 SDRAM Game Heart • 16GB eMMC(4c) This Tegra 4 powered titan was built to take your game-ability to the next, next level. With all the • MicroSD (up to 32GB of expandable storage) torque and none of the drag, HP Slate 7 Extreme's got its heart in the game.
    [Show full text]
  • NVIDIA Launches Tegra X1 Mobile Super Chip
    NVIDIA Launches Tegra X1 Mobile Super Chip Maxwell GPU Architecture Delivers First Teraflops Mobile Processor, Powering Deep Learning and Computer Vision Applications NVIDIA today unveiled Tegra® X1, its next-generation mobile super chip with over one teraflops of processing power – delivering capabilities that open the door to unprecedented graphics and sophisticated deep learning and computer vision applications. Tegra X1 is built on the same NVIDIA Maxwell™ GPU architecture rolled out only months ago for the world's top-performing gaming graphics card, the GeForce® GTX 980. The 256-core Tegra X1 provides twice the performance of its predecessor, the Tegra K1, which is based on the previous-generation Kepler™ architecture and debuted at last year's Consumer Electronics Show. Tegra processors are built for embedded products, mobile devices, autonomous machines and automotive applications. Tegra X1 will begin appearing in the first half of the year. It will be featured in the newly announced NVIDIA DRIVE™ car computers. DRIVE PX is an auto-pilot computing platform that can process video from up to 12 onboard cameras to run capabilities providing Surround-Vision, for a seamless 360-degree view around the car, and Auto-Valet, for true self-parking. DRIVE CX is a complete cockpit platform designed to power the advanced graphics required across the increasing number of screens used for digital clusters, infotainment, head-up displays, virtual mirrors and rear-seat entertainment. "We see a future of autonomous cars, robots and drones that see and learn, with seeming intelligence that is hard to imagine," said Jen-Hsun Huang, CEO and co-founder, NVIDIA.
    [Show full text]
  • Co-Optimizing Performance and Memory Footprint Via Integrated CPU/GPU Memory Management, an Implementation on Autonomous Driving Platform
    Co-Optimizing Performance and Memory Footprint Via Integrated CPU/GPU Memory Management, an Implementation on Autonomous Driving Platform Soroush Bateni*, Zhendong Wang*, Yuankun Zhu, Yang Hu, and Cong Liu The University of Texas at Dallas Abstract—Cutting-edge embedded system applications, such as launches the OpenVINO toolkit for the edge-based deep self-driving cars and unmanned drone software, are reliant on learning inference on its integrated HD GPUs [4]. integrated CPU/GPU platforms for their DNNs-driven workload, Despite the advantages in SWaP features presented by the such as perception and other highly parallel components. In this work, we set out to explore the hidden performance im- integrated CPU/GPU architecture, our community still lacks plication of GPU memory management methods of integrated an in-depth understanding of the architectural and system CPU/GPU architecture. Through a series of experiments on behaviors of integrated GPU when emerging autonomous and micro-benchmarks and real-world workloads, we find that the edge intelligence workloads are executed, particularly in multi- performance under different memory management methods may tasking fashion. Specifically, in this paper we set out to explore vary according to application characteristics. Based on this observation, we develop a performance model that can predict the performance implications exposed by various GPU memory system overhead for each memory management method based management (MM) methods of the integrated CPU/GPU on application characteristics. Guided by the performance model, architecture. The reason we focus on the performance impacts we further propose a runtime scheduler. By conducting per-task of GPU MM methods are two-fold.
    [Show full text]
  • A Low-Cost Deep Neural Network-Based Autonomous Car
    DeepPicar: A Low-cost Deep Neural Network-based Autonomous Car Michael G. Bechtely, Elise McEllhineyy, Minje Kim?, Heechul Yuny y University of Kansas, USA. fmbechtel, elisemmc, [email protected] ? Indiana University, USA. [email protected] Abstract—We present DeepPicar, a low-cost deep neural net- task may be directly linked to the safety of the vehicle. This work based autonomous car platform. DeepPicar is a small scale requires a high computing capacity as well as the means to replication of a real self-driving car called DAVE-2 by NVIDIA. guaranteeing the timings. On the other hand, the computing DAVE-2 uses a deep convolutional neural network (CNN), which takes images from a front-facing camera as input and produces hardware platform must also satisfy cost, size, weight, and car steering angles as output. DeepPicar uses the same net- power constraints, which require a highly efficient computing work architecture—9 layers, 27 million connections and 250K platform. These two conflicting requirements complicate the parameters—and can drive itself in real-time using a web camera platform selection process as observed in [25]. and a Raspberry Pi 3 quad-core platform. Using DeepPicar, we To understand what kind of computing hardware is needed analyze the Pi 3’s computing capabilities to support end-to-end deep learning based real-time control of autonomous vehicles. for AI workloads, we need a testbed and realistic workloads. We also systematically compare other contemporary embedded While using a real car-based testbed would be most ideal, it computing platforms using the DeepPicar’s CNN-based real-time is not only highly expensive, but also poses serious safety control workload.
    [Show full text]
  • Developing & Deploying Autonomous Driving
    DEVELOPING & DEPLOYING AUTONOMOUS DRIVING APPLICATIONS WITH THE NVIDIA DRIVE PX PLATFORM Shri Sundaram, Product Manager, DRIVE PX Platform DRIVE PX: AV Development Platform AV Developers: DRIVE PX as your tool AV HW/SW Ecosystem: DRIVE PX as your platform to reach developers 2 NVIDIA DRIVE PX Open AV Computing Platform for the Transportation Industry Powerful and scalable AV computer Deep Neural Network, Sensor Fusion and Computing Extensive I/O to interface with wide range of sensors and vehicle networks An open SW stack Level 3 to Level 5; ASIL-D functional safety 3 DRIVE PX DRIVING AV AI DRIVE Platform Engagements 400 350 300 250 Launched CES 2015 200 150 Spike in AV AI engagements after 100 50 we powered on discrete GPU 0 FY18 Q1 FY18 Q3 More than doubled in last 6 months Plus >145 AV Startups on NVIDIA DRIVE Source: NVIDIA statistics 4 AV DEVELOPMENT Path from Idea to Production IDEA DEVELOPMENT PROTOTYPE PRODUCTION Develop Test Deploy Perception Feature development Safety hardening OBJECTIVE Mapping/Localization Validation Performance tuning Path Planning SW upgrades Combination/More… PC PC DRIVE Platform TOOL Automotive Sensors Production SW OTA framework Scalable compute with discrete GPUs Ecosystem of sensors + other HW/SW peripherals TensorRT, CUDA, Open Source Frameworks 5 Autonomous Vehicle DEVELOPMENT FLOW Application Development 4 Using DRIVE PX Platform Test/Drive 3 1 Data Acquired Curated/Annotated Neural Network Deep Neural From Sensors Training Data Training Network Autonomous Vehicle Applications 2 1 Data Acquisition
    [Show full text]
  • Sheet1 Page 1
    Sheet1 (19) TABLETS 15.09.2021 uudet taulutietokoneet : geekbench prosessori muisti talletustila os multi hinta käytetyt Apple-tabletit : hinta Apple iPad mini WI-FI 7.9” 16 gb IOS 9.3.5 75 Apple iPad mini 2 WI-FI 7.9” 16 gb IOS 12.5.4 90 särö lasissa, koti-näppäin ei toimi Apple iPad mini 3 WI-FI 7.9” 16 gb IOS 12.5.4 130 Apple iPad1 Wi-FI + Cellular (3G) 9.7” 32 gb IOS 5.1.1 30 akku loppu Apple iPad1 Wi-FI + Cellular (3G) 9.7” 32 gb IOS 5.1.1 50 3G Apple iPad1 Wi-FI 9.7” 64 gb IOS 5.1.1 75 Apple iPad 2 Wi-Fi + Cellular (3G) 9.7” 16 gb IOS 9.3.5 488 75 Apple iPad 3 Wi-FI 9.7” 32 gb IOS 9.3.5 489 75 res. 2048 x 1536 Apple iPad 3 Wi-FI & 3G 9.7” 16 gb IOS 9.3.5 489 90 3G, res. 2048 x 1536 Apple iPad 4 Wi-FI 9.7” 32 gb IOS 10.3.3 1398 60 lasissa murtuma kuva-alueen ulkopuol. Apple iPad 4 Wi-FI 9.7” 16 gb IOS 10.3.3 1398 75 res. 2048 x 1536 käytetyt Android-tabletit : geekbench os multi hinta Mobee Nett Tablet 7” Via 8505 arm9 400 Mhz 256 mb 2 gb 1.6 / 2? 25 siisti salora tab7001 (mid704) 7” allwinner a13 1 Ghz 512 mb 4 gb 4.1.1 35 M707F 7” Cortex A8 1.2 Ghz 512 mb 8 gb 4.0.4 40 Amazon Kindle Fire (3rd gen) 7” Dual-core (2X) 1.5 Ghz 1 gb 8 gb amazon android 45 ainol novo7 venus 7” atm7029 Cortex A9 1.5 Ghz (4X) 1 gb 16 gb 4.1.1 50 microsd, mini hdmi Nexus 7 (asus, google) 7” Cortex A9 Nvidia Tegra 3 1.3 Ghz (4X) 1 gb 32 gb 7.1.2 45 2013, lasi rikki, kosketus ei toimi Nexus 7 (asus, google) 3G 7” Cortex A9 Nvidia Tegra 3 1.3 Ghz (4X) 1 gb 32 gb 7.1.2 55 2012, lasissa särö, kosketus toimii Nexus 7 (asus, google) 7” Cortex A9 Nvidia Tegra 3
    [Show full text]
  • Diseño De Un Prototipo Electrónico Para El Control Automático De La Luz Alta De Un Vehículo Mediante Detección Inteligente De Otros Automóviles.”
    Tecnológico de Costa Rica Escuela Ingeniería Electrónica Proyecto de Graduación “Diseño de un prototipo electrónico para el control automático de la luz alta de un vehículo mediante detección inteligente de otros automóviles.” Informe de Proyecto de Graduación para optar por el título de Ingeniero en Electrónica con el grado académico de Licenciatura Ronald Miranda Arce San Carlos, 2018 2 Declaración de autenticidad Yo, Ronald Miranda Arce, en calidad de estudiante de la carrera de ingeniería Electrónica, declaro que los contenidos de este informe de proyecto de graduación son absolutamente originales, auténticos y de exclusiva responsabilidad legal y académica del autor. Ronald Fernando Miranda Arce Santa Clara, San Carlos, Costa Rica Cédula: 207320032 3 Resumen Se presenta el diseño y prueba de un prototipo electrónico para el control automático de la luz alta de un vehículo mediante la detección inteligente de otros automóviles, de esta forma mejorar la experiencia de manejo y seguridad al conducir en la noche, disminuyendo el riesgo de accidentes por deslumbramiento en las carreteras. Se expone el uso de machine learning (máquina de aprendizaje automático) para el entrenamiento de una red neuronal, que permita el reconocimiento en profundidad de patrones, en este caso identificar el patrón que describe un vehículo cuando se acerca durante la noche. Se entrenó exitosamente una red neuronal capaz de identificar correctamente hasta un 89% de los casos ocurridos en las pruebas realizadas, generando las señales para controlar de forma automática los cambios de luz. 4 Summary The design and testing of an electronic prototype for the automatic control of the vehicle's high light through the intelligent detection of other automobiles is presented.
    [Show full text]
  • Introduction 3 Acknowledgement 3 Problem and Project Statement 3
    Introduction 3 Acknowledgement 3 Problem and Project Statement 3 Operational environment 5 Intended uses and users 5 Assumptions and limitations 6 End Product 7 Specifications and analysis 9 Proposed Design 9 Design Analysis 10 Implementation details 10 Testing process and testing results 11 Placing your work in the context of: 21 • Related products 21 • Related literature If/When needed, you should resort to Appendices. 22 Appendix I – Operation Manual 23 Raspberry PI 3 Model B 23 Nvidia Drive PX2 29 Software Licensing 31 Appendix II: Alternative/ other initial versions of the design 32 1) The DSRC 32 2) The Mobile Wireless Data 32 3) The Arduino & XBEE 32 Appendix III: Other Considerations 34 Appendix IV: Code 35 Introduction 35 External Libraries 35 Native Libraries 35 Gather Component Information 35 Finding and Initializing Devices 36 Initialize The GPS 37 Parsing and Transmission 37 Introduction As part of our senior design we had to create the means for the communication between two vehicles. The information that had to be communicated was the latitude, longitude coordinates, and the time. For this we have come up with several solutions throughout our design and testing process. We looked into DSRC, Cellular Communication, Raspberry Pi’s over a LAN network, and Xbee transceivers. All these are viable options and several can complement the others pretty well. We will have more details in following sections. Acknowledgement First off, we would like to formally thank Dr. Hegde for guidance on our project and the insightful advice on how to approach and overcome different obstacles of our progress. Also we would like to thank Vishal as our project manager who made sure we stuck to our milestones and meeting with us every week to make sure we were working towards our goals.
    [Show full text]
  • Passmark Android Benchmark Charts - CPU Rating
    PassMark Android Benchmark Charts - CPU Rating http://www.androidbenchmark.net/cpumark_chart.html Home Software Hardware Benchmarks Services Store Support Forums About Us Home » Android Benchmarks » Device Charts CPU Benchmarks Video Card Benchmarks Hard Drive Benchmarks RAM PC Systems Android iOS / iPhone Android TM Benchmarks ----Select A Page ---- Performance Comparison of Android Devices Android Devices - CPUMark Rating How does your device compare? Add your device to our benchmark chart This chart compares the CPUMark Rating made using PerformanceTest Mobile benchmark with PerformanceTest Mobile ! results and is updated daily. Submitted baselines ratings are averaged to determine the CPU rating seen on the charts. This chart shows the CPUMark for various phones, smartphones and other Android devices. The higher the rating the better the performance. Find out which Android device is best for your hand held needs! Android CPU Mark Rating Updated 14th of July 2016 Samsung SM-N920V 166,976 Samsung SM-N920P 166,588 Samsung SM-G890A 166,237 Samsung SM-G928V 164,894 Samsung Galaxy S6 Edge (Various Models) 164,146 Samsung SM-G930F 162,994 Samsung SM-N920T 162,504 Lemobile Le X620 159,530 Samsung SM-N920W8 159,160 Samsung SM-G930T 157,472 Samsung SM-G930V 157,097 Samsung SM-G935P 156,823 Samsung SM-G930A 155,820 Samsung SM-G935F 153,636 Samsung SM-G935T 152,845 Xiaomi MI 5 150,923 LG H850 150,642 Samsung Galaxy S6 (Various Models) 150,316 Samsung SM-G935A 147,826 Samsung SM-G891A 145,095 HTC HTC_M10h 144,729 Samsung SM-G928F 144,576 Samsung
    [Show full text]
  • Electronic 3D Models Catalogue (On July 26, 2019)
    Electronic 3D models Catalogue (on July 26, 2019) Acer 001 Acer Iconia Tab A510 002 Acer Liquid Z5 003 Acer Liquid S2 Red 004 Acer Liquid S2 Black 005 Acer Iconia Tab A3 White 006 Acer Iconia Tab A1-810 White 007 Acer Iconia W4 008 Acer Liquid E3 Black 009 Acer Liquid E3 Silver 010 Acer Iconia B1-720 Iron Gray 011 Acer Iconia B1-720 Red 012 Acer Iconia B1-720 White 013 Acer Liquid Z3 Rock Black 014 Acer Liquid Z3 Classic White 015 Acer Iconia One 7 B1-730 Black 016 Acer Iconia One 7 B1-730 Red 017 Acer Iconia One 7 B1-730 Yellow 018 Acer Iconia One 7 B1-730 Green 019 Acer Iconia One 7 B1-730 Pink 020 Acer Iconia One 7 B1-730 Orange 021 Acer Iconia One 7 B1-730 Purple 022 Acer Iconia One 7 B1-730 White 023 Acer Iconia One 7 B1-730 Blue 024 Acer Iconia One 7 B1-730 Cyan 025 Acer Aspire Switch 10 026 Acer Iconia Tab A1-810 Red 027 Acer Iconia Tab A1-810 Black 028 Acer Iconia A1-830 White 029 Acer Liquid Z4 White 030 Acer Liquid Z4 Black 031 Acer Liquid Z200 Essential White 032 Acer Liquid Z200 Titanium Black 033 Acer Liquid Z200 Fragrant Pink 034 Acer Liquid Z200 Sky Blue 035 Acer Liquid Z200 Sunshine Yellow 036 Acer Liquid Jade Black 037 Acer Liquid Jade Green 038 Acer Liquid Jade White 039 Acer Liquid Z500 Sandy Silver 040 Acer Liquid Z500 Aquamarine Green 041 Acer Liquid Z500 Titanium Black 042 Acer Iconia Tab 7 (A1-713) 043 Acer Iconia Tab 7 (A1-713HD) 044 Acer Liquid E700 Burgundy Red 045 Acer Liquid E700 Titan Black 046 Acer Iconia Tab 8 047 Acer Liquid X1 Graphite Black 048 Acer Liquid X1 Wine Red 049 Acer Iconia Tab 8 W 050 Acer
    [Show full text]
  • Last Updated 07/12/16 2017 Final Tier Assignment, Alphabetic by Manufacturer Below Is the 2017 Final Tier Assignment Schedule Fo
    Last Updated 07/12/16 2017 Final Tier Assignment, Alphabetic by Manufacturer Below is the 2017 Final Tier Assignment Schedule for Washington’s Electronic Product Recycling Program. The purpose of the 2017 Tier Assignment is to determine manufacturer fees owed to the Department of Ecology. These fees are used to cover Ecology’s administrative costs for implementing the E-Cycle Washington program. Ecology identified the manufacturers listed below as the brand owners of electronic products covered by this program (computers, monitors, laptops, televisions, portable DVD players, tablets, and e-Readers). Is Your Registration Up to Date? • Manufacturers who own additional brands of covered electronic products not currently registered must add those brands to their registration. • Brand owners of covered electronic products that are not on this list must register as a new participant. • Brand association list. If you have questions, please contact Christine Haun at 360-407-6107 or [email protected]. 2017 Tier Manufacturer 6 3M Touch Systems 4 3MD Inc. 5 4th Dimension Computer 6 Abacus Office Machines 6 ACC Tech 2 Acer America Corp 6 ADT LLC dba ADT Security Services 6 Afunta LLC 6 AMA Computer Services, LLC 3 Amazon Fulfillment Services, Inc. 6 AMDOE, LLC 6 Amelia World Corp d/b/a LINSAY 5 American Future Tech Corp dba iBuypower 6 American Pumpkins, Inc. 6 American Sunrex Corporation 6 Andteck 6 Angel Computer Systems Inc 2 Apple 6 Associated Computer Specialists 2 Asus Computer International 6 Atron Vision 6 AWA Technology Inc. 6 Axess Products Corporation 6 Azend Group Corp 6 Azpen Innovation, Inc.
    [Show full text]