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Large fractions of today’s embedded systems’ power consumption can be attributed to the memory subsystem. In order to reduce this fraction, we propose a mathematical model to optimize on-chip memory configurat...
We present a hybrid system spanning a fixed-function microarchitecture and a general-purpose microprocessor, designed to amplify the throughput and decrease the power dissipation of collision detection relativ...
Dynamic voltage and frequency scaling (DVFS) is a means to adjust the computing capacity and power consumption of computing systems to the application demands. DVFS is generally useful to...
Big data of biological engineering and mobile control increase the complexity of system control. In order to resolve the above problems and improve biological engineering system performance, this paper propose...
Since human beings have limited perceptual abilities, in many digital signal processing (DSP) applications, e.g., image and video processing, the outputs do not need to be computed accurately. Instead, their c...
Electric vehicles (EVs) are a promising solution to reduce the transportation dependency on oil, as well as the environmental concerns. Realization of E-transportation relies on providing electrical energy to ...
Ultra-wideband (UWB) technology is foreseen as a promising solution to overcome the limits of ultra-high frequency (UHF) techniques toward the development of green radio frequency identification (RFID) systems...
In order to recover data from embedded real-time main memory databases effectively and efficiently, this paper proposes a real-time log-based recovery approach. With respect to the real-time requirement in emb...
We propose a novel scheme to improve compressed sensing (CS)-based radio frequency identification (RFID) by exploiting multiple measurement vectors. Multiple measurement vectors are obtained by employing multiple...
In this paper, we propose two adaptive frame size Aloha algorithms, namely adaptive frame size Aloha 1 (AFSA1) and adaptive frame size Aloha 2 (AFSA2), for solving radio frequency identification (RFID) multipl...
Nowadays, many enterprises provide cloud services based on their own Hadoop clusters. Because the resources of a Hadoop cluster are limited, the Hadoop cluster must select some specific tasks to allocate limit...
The opportunistic cooperative platform and adaptive cooperative control scheme were proposed based on the redundancy degree and priority of cooperative data packet, as well as selective characteristics of time...
Target recognition and tracking is a hot research in image and video processing and is widely used in motion analysis, behavior recognition, and so on. In this paper, we studied target recognition and tracking...
It is known that the collection of the specific needs of mobile users and location management in an electronic commerce recommendation system are important indicators used to evaluate user satisfaction and sys...
In order to improve the intelligent degree and robustness optimization of power grid management system, the opportunistic embedded architecture was proposed for power network measurement with mobile service aw...
For improving the system performance of mobile Internet, how to provide the Quality of Experience (QoE) guarantee is an important factor. First, based on artificial neural network and adaptive cross-layer perc...
In order to solve these problems such as the demand of geographic information service and the short life of the embedded system, as well as network collapse, and so on, the embedded mobile crowd service system...
This paper presents SymRT, a tool based on a combination of symbolic execution and real-time model checking for timing analysis of Java systems. Symbolic execution is used for the generation of a safe and tight t...
This paper addresses the design of embedded systems for outdoor augmented reality (AR) applications integrated to see-through glasses. The set of tasks includes object positioning, graphic computation, as well...
A methodology for motion analysis and hand tracking based on adaptive probabilistic models is presented. This is done by integrating a deterministic clustering framework and a particle filter together in real ...
Way-prediction (WP) caches have advantages of reducing power consumption and latency for highly associative data caches and thus are favorable for embedded systems. In this paper, we propose an enhanced way-pr...
There is a wide area of applications that use embedded systems, and the number of such systems keeps growing. The required functionality and complexity of embedded systems are also constantly increasing, and d...
An embedded telemetry unit for bone strain monitoring is presented. The telemetry unit is designed using commercially available components to lower design time and manufacturing costs. The unit can read up to ...
This paper deals with dynamic voltage and frequency scaling (DVFS) in mobile multimedia services. The multimedia services that consume a large amount of energy cannot be continuously used in mobile devices bec...
In this contribution, we describe and analyse a miniature wireless radio frequency identification (RFID) chip with on-chip antennas (OCA) and ultra wideband (UWB) signalling by real-world measurements. With th...
Schedulers in radio frequency identification dense environments aim at distributing optimally a set of t slots between a group of m readers. In single-channel environments, the readers within mutual interference ...
As the adoption of the radio-frequency identification (RFID) technology is increasing, many applications require a dense reader deployment. In such environments, reader-to-reader interference becomes a critica...
In the design of embedded systems, hardware and software need to be co-explored together to meet targets of performance and energy. With the use of application-specific instruction-set processors, as a stand-a...
In this contribution, four automatic adjustment algorithms for leakage carrier cancellation in radio frequency identification (RFID) readers are compared: full search, gradient search, fast and direct I/Q algorit...
In this work, we focus on framed slotted Aloha (FSA) and passive ultra high-frequency radio frequency identification multi-antenna systems with physical layer collision recovery. We modify the tags slightly by...
Wireless sensor networks (WSNs), consisting of a large number of nodes to detect ambient environment, are widely deployed in a predefined area to provide more sophisticated sensing, communication, and processi...
This article presents the design and implementation of modular customizable event-driven architecture with parallel execution capability for the first time with wireless sensor nodes using stand alone FPGA. Th...
Radio frequency identification (RFID) is a technology enabling a contactless exchange of data. This technology features the possibility to wirelessly transfer power to the transponder (opponent). HF-RFID is us...
The synchronous model of computation divides the program execution into a sequence of logical steps. On the one hand, this view simplifies many analyses and synthesis procedures, but on the other hand, it impo...
In this contribution, the author examines the feasibility of on-body backscatter radio frequency identification (RFID) systems in the ultra high frequency range. Four different on-body RFID systems are investi...
Research and development of implantable RF telemetry systems intended specifically to enable and support cardiac monitoring of genetically engineered small animal subjects, rats and mice in particular, has alr...
The interest of physiological data sensing and recording using wireless body sensor network has increased in recent years due to the advancement of miniature and portable electronic devices. In this study, the...
This paper discusses the space-time coding (STC) problem for RFID MIMO systems. First, a mathematical model for this kind of system is developed from the viewpoint of signal processing, which makes it easy to ...
Wireless sensor networks (WSNs) require an extremely energy-efficient design. As sensor nodes have limited power sources, the problem of autonomy is crucial. Energy harvesting provides a potential solution to ...
To tackle the growing complexity and huge demand for tailored domestic video surveillance systems along with a high demanding time-to-market expectation, engineers at IVV Automação, LDAa are exploiting video surv...
As technology scales for increased circuit density and performance, the management of power consumption in embedded systems is becoming critical. Because the operating system (OS) is a basic component of the e...
Simultaneous localization and mapping (SLAM) is widely used by autonomous robots operating in unknown environments. Research community has developed numerous SLAM algorithms in the last 10 years. Several works...
The dependability deficiencies and bandwidth constraints of the controller area network (CAN) can prevent its use in safety-relevant and performance-demanding applications. This paper introduces mechanisms for...
In this article we present an ASIP design for a discrete fourier transform (DFT)/discrete cosine transform (DCT)/finite impulse response filters (FIR) engine. The engine is intended for use in an accelerator-c...
Embedded reconfigurable architectures are currently attracting increasing attention in the wireless communications industry due to the escalating number of wireless standards in today's market. Application spe...
We present our earlier results (not included in Hars and Petruska due to space and time limitations), as well as some updated versions of those, and a few more recent pseudorandom number generator designs. The...
Scheduling recurring task sets that allow some instances of the tasks to be skipped produces holes in the schedule which are nonuniformly distributed. Similarly, when the recurring tasks are not strictly perio...
As technology scales for increased circuit density and performance, the management of power consumption in system-on-chip (SoC) is becoming critical. Today, having the appropriate electronic system level (ESL)...
Software and embedded system companies today encounter problems related to requirements management tool integration, incorrect tool usage, and lack of traceability. This is due to utilized tools with no clear ...
