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Rescooped by Rodney Kwaku Dey Jnr from IT Books Free Share
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Memory Allocation Problems in Embedded Systems: Optimization Methods - Free eBook Share

Memory Allocation Problems in Embedded Systems: Optimization Methods - Free eBook Share | Automating Africa | Scoop.it
eBook Free Download: Memory Allocation Problems in Embedded Systems: Optimization Methods | PDF, EPUB | ISBN: 1848214286 | 2012-12-26 | English | PutLocker

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Fox eBook's curator insight, August 15, 2013 8:52 PM

Embedded systems are everywhere in contemporary life and are supposed to make our lives more comfortable. In industry, embedded systems are used to manage and control complex systems (e.g. nuclear power plants, telecommunications and flight control) and they are also taking an important place in our daily activities (e.g. smartphones, security alarms and traffic lights).

In the design of embedded systems, memory allocation and data assignment are among the main challenges that electronic designers have to face. In fact, they impact heavily on the main cost metrics (power consumption, performance and area) in electronic devices. Thus designers of embedded systems have to pay careful attention in order to minimize memory requirements, thus improving memory throughput and limiting the power consumption by the system’s memory. Electronic designers attempt to minimize memory requirements with the aim of lowering the overall system costs.
A state of the art of optimization techniques for memory management and data assignment is presented in this book.

Table of Contents

Chapter 1. Context 1
Chapter 2. Unconstrained Memory Allocation Problem 27
Chapter 3. Memory Allocation Problem With Constraint on the Number of Memory Banks 57
Chapter 4. General Memory
Chapter 5. Dynamic Memory Allocation Problem 109
Chapter 6. MemExplorer: Cases Studies 131
Chapter 7. General Conclusions and Future Work 147

 

Free Download Here: http://www.foxebook.net/memory-allocation-problems-in-embedded-systems-optimization-methods/

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Raspberry Pi pre-loaded with 6 operating systems - ElectronicsWeekly.com

Raspberry Pi pre-loaded with 6 operating systems - ElectronicsWeekly.com | Automating Africa | Scoop.it
ElectronicsWeekly.com Raspberry Pi pre-loaded with 6 operating systems ElectronicsWeekly.com To make the Raspberry Pi computer board more accessible to educational users the Model B board is being sold with an 8Gbyte SD card pre-installed with...
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Rescooped by Rodney Kwaku Dey Jnr from Surfing the Broadband Bit Stream
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Interoperability issues on the Internet of Things | Embedded

Interoperability issues on the Internet of Things | Embedded | Automating Africa | Scoop.it

Just as microscopes let humans discover bacteria we could not see with the naked eye, the technologies behind the Internet of Things and big-data could help us "see" new realities. But to enable such vision we need ideas for how to overcome some interoperability issues.

 

The assumption that "things" are connected via sensors to networks is common these days. Indeed, factories have been highly instrumented for many years, but if we examine supply chains more closely we often lose visibility of products and processes precisely because of challenges in connecting to networks, which increasingly are wireless.

 

The Auto-ID Center at MIT developed a set of specifications for passive RFID wireless data collection systems at UHF frequencies, working with sister labs at Cambridge University, St. Gallen, Fudan, Keiyo, the University of Adelaide, and Kaist. The specs were licensed by GS1/EPCglobal, the worldwide association of all manufacturers.

 

The specs include a serialization scheme for uniquely identifying objects that has been widely adopted in the electronics industry and is spreading to other industries. Other wireless techniques to connect things include specifications at low frequency, high frequency, WiFi, Bluetooth, ZigBee, and UWB frequencies and protocols.

 

In addition to being able to "see" things remotely, it would be nice to add telemetry data to these transport protocols. Such data could tell us for instance how hot or cold, or how wet or dry objects are.

 

We could use diverse sensing techniques to measure physical, chemical, and biological qualities. For example, we could monitor the condition of bacteria, using various mechanical, optical, semiconductor, and biological sensors.

 

Unfortunately, there are very few common sensor specifications, especially for embedded systems that aim to minimize cost and power consumption. As a result, one hospital is running more than 90 network monitoring systems to validate, calibrate, and monitor medical devices and still has poor visibility on network interference, a hospital executive told me recently.

 

If we seek to add Real-Time Location Systems data to in-building wireless tracking systems using the WiFi standards, we run into similar interoperability issues. While we can all connect via laptops to wireless networks anywhere in the world, the minute we ask "where" a device is using the 802.11b in-building wireless protocol, we are restricted to proprietary triangulation algorithms that restrict interoperability of active RFID tags. In ad hoc networks such as 802.15.4, we have the same difficulty of connecting higher level functions of the protocol with devices from different manufacturers.

 

As a result of this lack of interoperability, every time we add a new telemetry device to a wireless network, we have the n2 problem of having to customize interfaces to every other device on the network.

 

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Via Chuck Sherwood, Senior Associate, TeleDimensions, Inc
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MEN Mikro Elektronik BL50W is an Embedded PC For Wireless Applications with up to 9 Antennas

MEN Mikro Elektronik Gmbh, a German company specialized in industrial embedded boards and systems, has recently unveils BL50W, an embedded PC powered by AMD G-Series APU targeting wireless...

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The Perfect Processor for Embedded Systems | Mouser Electronics

The Perfect Processor for Embedded Systems | Mouser Electronics | Automating Africa | Scoop.it
Motor sports has changed dramatically in the last decade. Telemetry with 80 or more sensors on one car is not uncommon; data is used mainly for improving performance.
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Tevatron Technologies Announces Job Oriented Certificate Course ...

Tevatron Technologies Announces Job Oriented Certificate Course ... | Automating Africa | Scoop.it
Tevatron Technologies is an Electronic Chip Design Company focused on VLSI Design and Embedded Systems. Realizing the shortage of skilled, Industry Ready.
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Rescooped by Rodney Kwaku Dey Jnr from IT Books Free Share
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Embedded Systems: Hardware, Design and Implementation - Free eBook Share

Embedded Systems: Hardware, Design and Implementation - Free eBook Share | Automating Africa | Scoop.it
eBook Free Download: Embedded Systems: Hardware, Design and Implementation | PDF, EPUB | ISBN: 1118352157 | 2012-12-10 | English | PutLocker

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Fox eBook's curator insight, August 3, 2013 1:05 PM

Covers the significant embedded computing technologies—highlighting their applications in wireless communication and computing power

An embedded system is a computer system designed for specific control functions within a larger system—often with real-time computing constraints. It is embedded as part of a complete device often including hardware and mechanical parts. Presented in three parts, Embedded Systems: Hardware, Design, and Implementation provides readers with an immersive introduction to this rapidly growing segment of the computer industry.

Acknowledging the fact that embedded systems control many of today’s most common devices such as smart phones, PC tablets, as well as hardware embedded in cars, TVs, and even refrigerators and heating systems, the book starts with a basic introduction to embedded computing systems. It hones in on system-on-a-chip (SoC), multiprocessor system-on-chip (MPSoC), and network-on-chip (NoC). It then covers on-chip integration of software and custom hardware accelerators, as well as fabric flexibility, custom architectures, and the multiple I/O standards that facilitate PCB integration.

Next, it focuses on the technologies associated with embedded computing systems, going over the basics of field-programmable gate array (FPGA), digital signal processing (DSP) and application-specific integrated circuit (ASIC) technology, architectural support for on-chip integration of custom accelerators with processors, and O/S support for these systems.

Finally, it offers full details on architecture, testability, and computer-aided design (CAD) support for embedded systems, soft processors, heterogeneous resources, and on-chip storage before concluding with coverage of software support—in particular, O/S Linux.

Embedded Systems: Hardware, Design, and Implementation is an ideal book for design engineers looking to optimize and reduce the size and cost of embedded system products and increase their reliability andperformance.

Table of Contents

1 Low Power Multicore Processors for Embedded Systems 1
2 Special-Purpose Hardware for Computational Biology 61
3 Embedded GPU Design 85
4 Low-Cost VLSI Architecture for Random Block-Based Access of Pixels in Modern Image Sensors 107
5 Embedded Computing Systems on FPGAs 127
6 FPGA-Based Emulation Support for Design Space Exploration 139
7 FPGA Coprocessing Solution for Real-Time Protein Identifi cation Using Tandem Mass Spectrometry 169
8 Real-Time Confi gurable Phase-Coherent Pipelines 185
9 Low Overhead Radiation Hardening Techniques for Embedded Architectures 211
10 Hybrid Partially Adaptive Fault-Tolerant Routing for 3D Networks-on-Chip 239
11 Interoperability in Electronic Systems 259
12 Software Modeling Approaches for Presilicon System Performance Analysis 273
13 Advanced Encryption Standard (AES) Implementation in Embedded Systems 291
14 Reconfi gurable Architecture for Cryptography over Binary Finite Fields 319