Dmp Programming Software

 
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  1. Enjoy the videos and music you love, upload original content, and share it all with friends, family, and the world on YouTube.
  2. The launching pad for the SmartMotion Developer’s Kit containing MotionLink software tools which allow you to quickly evaluate sensor hardware and performance. SmartMotion It also provides a comprehensive driver that utilizes all the sensor hardware features along with advances algorithms for gesture detection, sensor fusion and calibration.

Current software updates for DMP products are available for download free of charge. XR100, XR150, XR350, XR500, XR550 Series The XR Series panels accept software updates from a remote location using Dealer Admin or Remote Link™. When new feature updates release, perform the flash update remotely.

DM&P Vortex86DX CPU

Newly IC technology, Newly memory technology, Built-in legacyI/Os, Support both ISA and PCI

Overview System Block Feature Special Feature O/S FAQ Technical Support2011/01/24

Dmp Programming Software

Essential grid activation code free. What'sNew

  • 2011-01-24: Vortex86DX Windows Embedded CE 6.0 evaluation image & SDK updated.
  • 2010-10-22: Vortex86DX Windows Embedded CE 6.0 evaluation image & SDK updated.
  • 2010-07-23: Vortex86SX/DX/MX Windows Embedded CE 6.0 BSP version B updated.
  • 2010-02-26: Vortex86DX 16:9 LCD/Panel driver for Windows XP Embedded added.
  • 2010-02-05: Vortex86DX Windows Embedded CE 6.0 evaluation image updated.
  • 2009-12-22: Add document 'Debian & Ubuntu Linux Installation Guide'.
  • 2009-12-18: Vortex86DX Windows Embedded CE 6.0 evaluation image updated.
  • 2009-12-16: Add document 'DMP Vortex86 Series Software Programming Reference'
  • 2009-10-28: Vortex86SX/DX Windows Embedded CE 6.0 BSP version B updated.
  • 2009-06-06: Add document 'Building Windows Embedded CE 6.0 Headless Image'.
  • 2009-04-28: Add document 'Windows CE development note'.
  • 2009-04-28: Add document 'Read ISOInChip data from Vortex86SX/DX/MX'.
  • 2009-03-31: Vortex86DX Windows Embedded standard 2009 evaluation image added.
  • 2009-03-24: Vortex86DX Windows Embedded CE 6.0 evaluation image updated.
  • 2009-03-24: Vortex86SX/DX Windows Embedded CE 6.0 BSP updated.

DM&P x86 Semiconductor is proud to provide the Vortex86SX/DX x86 Micro processor, which is based on MPU structure. It is the x86 SoC (System on Chip) with 90nm process and ultra low power consumption design (less than 1 watt). This comprehensive SoC has been integrated many features, such as various I/O (RS-232, Parallel, USB and GPIO), BIOS, WatchDog Timer, Power Management, MTBF counter, LoC (LAN on Chip), JTAG etc., into a BGA packing single chip.

The Vortex86DX is a high performance and fully static 32-bit X86 processor with the compatibility of Windows based, Linux and most popular 32-bit RTOS. It also integrates 32KB write through 4-way L1 cache, 4-way 256KB L2 cache, PCI rev. 2.132-bit bus interface at 33 MHz, DDR2, ROM controller, IPC (Internal Peripheral Controllers with DMA and interrupt timer/counter included), Fast Ethernet, FIFO UART, USB2.0Host and IDE controller within a single 581-pin BGA package to form a system-on-a-chip (SOC). It provides an ideal solution for the embedded system and communications products (such as thin client, NAT router, home gateway, access point and tablet PC) to bring about desired performance.


  • x86 32bit Processor Core
    • 6 stage pipe-line
  • Floating point unit support
  • Embedded I/D Separated L1 Cache
    • 16K I-Cache, 16K D-Cache
  • Embedded L2 Cache
    • 4-wary 256KB L2 Cache
    • Write through or write back policy
  • DDRII Control Interface
    • 16 bits data bus
    • DDRII clock support up to 333MHz
    • DDRII size support up to 1Gbytes
  • IDE Controller
    • Support 2 channels Ultra-DMA 100 (Disk x 4)
    • Primary channel support SD card
  • LPC (Low Pin Count) Bus Interface
    • Support 2 programmable registers to decode LPC address
  • MAC Controller x 1
  • PCI Control Interface
    • Up to 3 sets PCI master device
    • 3.3V I/O
  • ISA Bus Interface
    • AT clock programmable
    • 8/16 Bit ISA device with Zero-Wait-State
    • Generate refresh signals to ISA interface during DRAM refresh cycle
  • DMA Controller
  • Interrupt Controller
  • Counter/Timers
    • 2 sets of 8254 timer controller
    • Timer output is 5V tolerance I/O on 2nd Timer
  • MTBF Counter
  • Real Time Clock (Internal Mode or External Mode)
    • Less than 2uA (3.0V) power consumption in Internal RTC Mode while chip is power-off
  • FIFO UART Port x 5 (5 sets COM Port)
    • Compatible with 16C550/16C552
    • Default internal pull-up
    • Supports the programmable baud rate generator with the data rate from 50 to 460.8Kbps
    • The character options are programmable for 1 start bits; 1, 1.5 or 2 stop bits; even, odd or no parity; 5~8 data bits
    • Support TXD_En Signal on COM1/COM2
    • Port 80h output data could be sent to COM1 by software programming
  • Parallel Port
    • Support SPP/EPP/ECP mode
  • General Chip Selector
    • 2 sets extended Chip Selector
    • I/O-map or Memory-map could be configurable
    • I/O Addressing: From 2 byte to 64K byte
    • Memory Address: From 512 byte to 4G Byte
  • General Programmable I/O
    • Supports 40 dedicated programmable I/O pins
    • Each GPIO pin can be individually configured to be an input/output pin
    • GPIO_P0~GPIO_P3 can be program by 8051
    • GPIO_P0 and GPIO_P1 with interrupt support (input/output)
  • USB 2.0 Host Support
    • Supports HS, FS and LS
    • 4 ports
  • USB 1.1 Device Support
    • 1 port
    • Supports FS with 3 programmable endpoint
  • PS/2 Keyboard and Mouse Interface Support
    • Compatible with 8042 controller
  • Redundant System Support
  • Speaker out
  • Embedded 2MB Flash
    • For BIOS storage
    • The Flash could be disable & use external Flash ROM
  • I²C bus x 2
    • Compliant w/t V2.1
    • Some master code (general call, START and CBUS) not support
  • Servo Control interface support
  • General Shift interface support
  • JTAG Interface supported for S.W. debugging
  • Input clock
    • 14.318MHz
    • 32.768KHz
  • Output clock
    • 24 MHz
    • 25 MHz
    • PCI clock
    • ISA clock
    • DDRII clock
  • Operating Voltage Range
    • Core voltage: 0.9 V ~ 1.1V
    • I/O voltage: 1.8V ¡Ó 5% , 3.3 V ¡Ó 10%
  • Operating temperature
    • -40 ~ 85 degree C
  • Package Type
    • 27x27, 581 ball BGA
Programming
  • JTAG interface (built-in)
    • 6-pin connector for MICE function
    • Windows version debugging software
    • Specific cable between JTAG connector and printer port (for remote PC)
    • Powerful and low cost tool for development
  • ISOinChip (built-in)
    • It is a 32 Byte one-time write Flash area
    • Factory will store all necessary data of board (& SoC) in this area for service tracing
    • Necessary data will include:
      • Date code of all major component of the board
      • Model number and serial code of the board
      • Unique serial code of SoC
      • Customer (distributor) code
      • Shipment date, etc.
  • MTBF counter (built-in)
    • One-time write Flash area for number of MTBF hour before shipment
    • Timer count up by 'hour'
    • Built-in TTL alert signal will be enabled after time counter over MTBF number
  • Fault tolerance - Redundancy (built-in)
    • Two board must stack (plug) in same ISA bus wire
    • Two board will auto be appointed to master and slave mode while every power-on
    • Two board must execute the same software
    • System switch judge by six kind of fail conditions
    • While system be switched then I/O can also be switched (I/O only include RS232,printer, GPIO, K/B and Mouse)
    • Built-in System Fail Counter
    This programming guide is for software programmers to write programs more quick and easy on Vortex86SX/DX/MX.


DOS

  • DOS SPI Flash Disk Tool: spitool.zip (15 KB) Updated: 20010-07-16
    DM&P DOS SPI flash disk tool. See spitool.pdf for more information.
  • DOS NDIS driver: pci-ndis.zip (7 KB) Updated: 2009-12-17
  • DOS ODI driver: r6040odi.zip (58 KB) Updated: 2011-05-03
  • Novell netware login script: sx_login.zip (17 KB)
  • Ethernet packet driver: pktdrv.zip (7 KB)
    DOS Ethernet packet driver for DSock.
  • DM&P DOS Socket Library: http://www.dmp.com.tw/tech/dmp-lib/dsock/
    DSock is a TCP/IP library for DOS real mode and provides simple C functions for programmer to write Internet applications. There are a lot of example codes in it: BOOTP/DHCP, FTP server, SMTP client/server, HTTP server, TELNET server, Talk client/server,etc.
  • DM&P DOS LCM Library: http://www.dmp.com.tw/tech/dmp-lib/lcm/
    Update library to support printer port interface for Vortex86SXserials.
  • DM&P Serial Port Library: http://www.dmp.com.tw/tech/dmp-lib/serport/
    Support Vortex86SX series and 8 serial ports.


Linux

  • X-Linux for Vortex86DX: Download
    • X-Linux image for Vortex86SX/DX boards. For more information about X-Linux, please visit http://www.dmp.com.tw/tech/os-xlinux/.
  • Debian& Ubuntu Linux Installation Guide (181 KB)
    Show developer to install Debian and Ubuntu on Vortex86DX step by step.


Windows 98/2000

  • Ethernet driver: R6040_Win98.zip (44 KB)
    R6040 Ethernet driver for Windows 98.
  • Ethernet driver: R6040_Win2000.zip (42 KB)
    R6040 Ethernet driver for Windows 2000.


Windows XP Embedded / Windows Embedded Standard 2009

  • Before starting XPe development, please read WindowsXPe Development Note for more detail.
    • PMQ file: Vortex86DX.pmq (187 KB)
    • R6040 Ethernet driver: XPe_R6040_Ethernet.zip (15 KB)
    • Vortex86DX Version A/B IDE driver: XPe_VDX_IDE.zip (20 KB)
    • Z9s VGA driver: XPe_Z9s_Display.zip (507 KB)
    • Z9s VGA driver for 16:9 LCD/Panel: XPe_Z9s_Display_16_9.zip (24 KB)
    • HORM component: Vortex86DX_HORM.zip (2 KB)
    • External SPI flash disk driver: XPe_External_SPI_Flash_Disk.zip (16 KB)


Windows CE

  • Vortex86SX/DX/MX Windows Embedded CE 6.0 (R2/R3) BSP Version B (2010-07-23) (1.31MB)
    • Windows Embedded CE 6.0 BSP for Vortex86SX/DX/MXSoC. Please read WindowsCE BSP note and WindowsCE development note for more detail.
  • Vortex86DX Windows CE 5.0 BSP Version F (2010-03-30) (804 KB)
    • Windows CE 5.0 BSP for Vortex86SX SoC. XGI Z9s display driver is included and KITLis okay in this version. Please read WindowsCE BSP note for more detail.
  • Building Windows Embedded CE 6.0 Headless Image (385 KB)
    • This document will show developers to build Windows CE headless image for Vortex86SX/DX devices without display.
    Download project files: WinCE_Vdx_Headless.zip (34 KB)
  • Vortex86SX/DX WindowsCE Watchdog Timer Driver (100 KB)
    • This document will show programmers how to use our watchdog timer DLL in embedded Visual C++ and .NET compact frame work. Read more information at SX_WDT_CE.pdf
  • Vortex86SX/DX WindowsCE GPIO Driver (137 KB)
    • This document will show programmers how to use our GPIO DLL in embedded Visual C++and.NET compact frame work. Read more information at SX_GPIO_CE.pdf
  • Vortex86SX/DX WindowsCE I/O Driver (28 KB)
    • This is our I/O DLL for embedded Visual C++ and .NET compact frame work.


QNX

  • QNX 6.3.2 for Vortex86DX: Contact soc@dmp.com.tw for more detail.
    Some frequently asked questions.

If you have any inquire, please feel free to contact E-mail: soc@dmp.com.tw.

DMP Electronics Inc. All rightsreserved.Email us:info@dmp.com.tw

Dmp Xr550 Programming Software

A data management platform (DMP) is a software platform used for collecting and managing data. They allow businesses to identify audience segments, which can be used to target specific users and contexts in online advertising campaigns. DMPs may use big data and artificial intelligence algorithms to process and analyze large data sets about users from various sources.[1] Some advantages of using DMPs include data organization, increased insight on audiences and markets, and effective advertisement budgeting.[2] On the other hand, DMPs often have to deal with privacy concerns due to the integration of third-party software with private data. This technology is continuously being developed by global entities such as Nielsen and Oracle.[3]

Characteristics[edit]

Purpose[edit]

A DMP is any kind of software that manages the gathering, storage, and organization of data so that useful information can be leveraged from it by marketers, publishers, and other businesses. The data stored may include customer information, demographics, and mobile identifiers or cookie IDs, which the DMP will analyze to allow businesses to create targeting segments for advertisements. DMPs can help brands learn more about their customer segments to inform acquisitions strategies and increase their sales. They also allow businesses to gauge the effectiveness of their advertising campaigns.[4]

History[edit]

First & Second Generation Programming Languages[edit]

During the 1950s, data management became a problem for companies as computers were not quick with computations and needed a great amount of labor to deliver results. Companies started by storing their data in warehouses. Early programs were written in binary and decimal and this was known as Absolute Machine Language, which later was called the First Generation Programming Language.[5]

An example of how data was stored in the early days of data management.

After this, Assembly Language - which came to be known as Second Generation Programming Languages - came into existence. This symbolic machine code grew popular among programmers as they were able to utilize alphabet letters for coding. This led to less errors in programs and improved code readability.[5]

High Level Languages[edit]

Throughout the 1960s and 1970s, as technology continued to progress and programmers became more in touch with computers, the First and Second Generation Programming Languages evolved into High Level Languages (HLL). These languages are known for being easily readable by a human and were important for allowing one to write a generic program that does not depend on the kind of computer used. HLL were known for emphasizing memory and data management and many of the languages that came out in this era (i.e. COBOL, C, and C++) are still widely used today.[5]

Online Data Management & Databases[edit]

Online transactions soon were a big part of many industries. This was possible by Online Data Management systems. These systems can analyze information quickly and they allow programs to read, update and send information to the user.

In the 1970s, Edgar F. Codd developed an easy-to-learn language, Structured Query Language (SQL) that had English commands. This language dealt with relational databases, improved data processing and decreased duplicated data. This relational model allowed large amounts of data to be processed quickly and improved parallel processing, client-server computing, and graphical user interfaces and it made multiple users to interact simultaneously.[5]

To deal with the processing and research of Big Data, NoSQL came into existence. NoSQL's greatest power is its ability to store vast amounts of data. NoSQL was present in 1998, however its popularity among developers grew after 2005.[5]

Cloud & AI[edit]

Nowadays, data management has transferred over from local storage to the cloud. In the late 1990s and early 2000s, Salesforce and Amazon popularized the concept of internet-based services, which appealed to customers as it reduced in-house maintenance costs and increased flexibility in changing the needs of a business. With the rising prevalence of Artificial Intelligence (AI), it is now easier than ever to store and sort through immense sets of data. It is in this era that DMPs have experienced their rise to prominence as the astronomical amount of user data in the world can now be processed and presented to companies for marketing purposes.[5]

Data Pipeline[edit]

An overview of how data is processed through a DMP.

DMPs first begin by gathering raw data. This requires data collection from various sources such as webpage visits and registration forms found online. Moreover, the available data is not limited to one's computer, as mobile devices, social networks, and smart devices all act as constant sources of raw data. From a technical standpoint, JavaScript trackers and APIs are used to inform the server when the user is performing an action that should be recorded and stored.[4]

Once the DMP has collected the data, it moves on to then process and integrate all of it. It first cleans the data by filtering out any junk or missing values. Then, it utilizes machine learning algorithms to find patterns across sets of users and organize them on a broad scale. This helps create a 360 degree customer view which in turn helps to integrate first-, second-, and third-party data types into one database.[4]

Next comes the data management phase. Here, the DMP assists its clients - which are other companies seeking to leverage their user data - in creating user profiles. User profiles are segments of specific customer demographics that are intended to help visualize patterns and tendencies across an industry. They are also useful for shedding light on undiscovered market opportunities.[4]

The final step in this process is the activation stage. Once all the data has been gathered, processed, and properly organized and segmented, it is put into use in the marketplace through servers or DSPs. From here, advertisers uses other third-party services to access a DMP and provide targeted content to their intended audiences.[4]

Functionalities[edit]

DMPs are used for profiling, analyzing, and targeting online customers in digital marketing. Biology dictionary free download. They work in the following areas:

  • Ad targeting - creating audience segments and targeting specific users with personalized ad campaigns, such as displaying advertisements for cars to users who demonstrate interest in buying a new car.[6]
  • User profiling - representing real people using sets of data on user related information, such as needs, interests, and behaviors. Profiles can be created manually or through machine learning algorithms that automatically analyze and profile internet users.[7]
  • Look-alike modeling - identifying new clients who behave similarly to current customers for targeted ad campaigns.[4]
  • Business insights - discovering new insights about customers and services through data analysis, as well as supplementing existing CRM systems with additional external data, such as users’ attributes or their interactions with online products.[4]
  • Content and product recommendations - using DMP recommendations to develop a personalized experience for all users.[6]
  • Monetizing or selling data - selling DMP data to generate additional revenue.[1]
  • Audience enrichment - analyzing and getting to know an audience through DMP analytics to know their specific needs.
  • Grow your customer base - discovering a new customer segment with DMP analytics and growing awareness and brand loyalty.[4]

Advantages & Disadvantages[edit]

Advantages[edit]

There are six major advantages to using a data management platform: gathering data in one place, using third party data to discover new markets, gaining audience insights, creating a full view of customers, targeting your audience, and effectively budgeting your expenditures on marketing.[2]

Disadvantages[edit]

Data management platforms rely heavily on Cookie technology to identify behaviours. Recent moves from Apple and now Google are moving towards blocking third party advertising cookies which places the Data management platform value proposition at risk.

Moreover, the adoption of such a platform may be difficult in an organization's current environment. This is because data aggregation technology is complex and requires the correct technical knowledge for implementation.

Another area of concern is the quality of the imported data: if it is of low quality, then the DMP will fail to provide meaningful results.[2]

Ownership of Collected Data & Privacy Concerns[edit]

There are three main types of data in general:

  • 1st party data – data collected and owned by the company itself. For example, website data, mobile application data, and CRM data.
  • 2nd party data – data collected as a result of corporate cooperation. This includes online campaign data and customer journey data.
  • 3rd party data – data delivered by data providers, which is available on the market for purchase.[5]

There are also three main types of data collected by DMPs:

  • Observed data – the digital footprint of internet users, i.e. search history or type of web browser used.
  • Inferred data – conclusions based on a user's internet behavior.
  • Declared data – data explicitly provided from users such as online forms or application sign ups.[1]

DMPs are beneficial in helping digital marketers discover new audiences based on third-party data. Although this is the case, the General Data Protection Regulation (GDPR) makes it harder for DMPs to obtain third-party data. Previously, DMPs processed third-party data through cookies and existing laws did not require user consent for such data collection. However, the GDPR now demands that personal data - which includes data collected through the use of cookies - can only be used with user consent. Going forward, this means that collecting third-party data will become harder for companies, and DMPs will have greater legal obligations. As a result, future DMPs may rely more heavily on first-party and second-party data.[5]

References[edit]

  1. ^ abcLevy, Heather (2015-07-28). 'How Does a Data Management Platform Work?'. Gartner. Retrieved 2019-10-30.
  2. ^ abcMatuszewska, Karolina (2018-08-31). 'Data Gathering Platforms: Pros and Cons of DMPs, CDPs, DWs & CRMs'. Piwik PRO. Retrieved 2019-10-30.
  3. ^'Data Management Platform'. Nielsen Nederland – Nielsen (in Luxembourgish). Retrieved 2019-10-30.
  4. ^ abcdefghGolovan, Eugene (2018-11-26). 'What Is Data Management Platform, How It Works and Why You Really Need It in Your Business'. Medium. Retrieved 2019-10-30.
  5. ^ abcdefghFoote, Keith D. (2018-03-20). 'A Brief History of Data Management'. DATAVERSITY. Retrieved 2019-10-30.
  6. ^ abElmeleegy, Hazem; Li, Yinan; Qi, Yan; Wilmot, Peter; Wu, Mingxi; Kolay, Santanu; Dasdan, Ali; Chen, Songting (2013). 'Overview of Turn Data Management Platform for Digital Advertising'. Proc. VLDB Endow. 6 (11): 1138–1149. doi:10.14778/2536222.2536238. ISSN2150-8097.
  7. ^Butt, Mahmood (2018-05-07). 'Why — and How — to Use a Data Management Platform'. MarTech Advisor. Retrieved 2019-10-30.
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