Journal Information
Microprocessors and Microsystems: Embedded Hardware Design (MICPRO)
Impact Factor:

Call For Papers
Microprocessors and Microsystems: Embedded Hardware Design (MICPRO) is a journal covering all design and architectural aspects related to embedded systems hardware. It includes different embedded system hardware platforms ranging from custom hardware via reconfigurable systems and application specific processors to general purpose embedded processors. Special emphasis is put on novel complex embedded architectures, such as systems on chip (SoC), systems on a programmable/reconfigurable chip (SoPC) and multi-processors on a chip (MPoC) as well as their communication methods, such as network-on-chip (NoC).

Design automation of such systems including methodologies, techniques and tools for their design as well as novel designs of hardware components fall within the scope of this journal. Novel applications that use embedded systems are also central in this journal. While software is not a part of this journal hardware/software co-design methods that consider interplay between software and hardware components with emphasis on hardware are also relevant here.
Last updated by Dou Sun in 2019-11-24
Special Issues
Special Issue on Emerging Architectures for Energy-efficient and Real-time Cyber-physical Systems
Submission Date: 2020-09-30

The current generation of Cyber-physical Systems (CPS) has evolved from the original idea of isolated Embedded Systems to become a complex scenario where smart processing nodes tightly interact with physical entities such as sensors networks and I/O devices. In recent years, the integration of a whole set of technologies, usually referred to as Internet-of-Things (IoT), enabled a flourishing ecosystem of architectures and platforms where smart objects, users and communication infrastructures interact to support intelligent context-aware services and applications. Energy-aware real-time Systems, smart grids, medical monitoring, smart cities, distributed pollution tracking are just a few examples of concrete applications that are gaining attraction among industries and institutions. However, such environments impose energy consumption constraints that must be met in acontext of increasing computational needs, due to the processing of large amounts of datacoming from sensing and input devices. It can be envisaged a trend in which the smartness ofthe "things" will be even more shifted toward the things themselves rather than toward thecloud. Based on this, improving the computational capabilities of the smart objects in an evenmore limited energy envelope becomes a key issue. This Special Issue aims at exploring emerging approaches, ideas and contributions to address the challenges in the design of energy-efficient and real-time smart objects for IoT-enabled CPS.Potential topics include, but are not limited to: ● Distributed Architectures for Real-time systems ● Energy-efficient Neural Networks ● Energy-aware and Real-time Neural Network inference ● Approximate Computing for energy-efficient Architectures ● Network-on-Chip and Embedded Systems for IoT ● Energy-aware Parallel architectures for high-performance computing ● Distributed real-time software for distributed embedded control system ● Design Platforms and Tools for IoT-based ecosystems for optimizing energy/performance tradeoffs
Last updated by Dou Sun in 2020-06-07
Special Issue on Memory and Storage Computing (MSC)
Submission Date: 2020-11-25

With the development of computer systems, the memory and storage technologies have been significantly advanced, including emerging non-volatile memories, NAND flash memories, shingled magnetic recording. However, the data transfer cost between CPU and storage or memory becomes the critical challenge for the advanced systems. To solve this issue, storage and memory computing provides a new opportunity by adding computing function beside or inside storage or memory devices. This has been a hot topic and widely acknowledged by academics and industries. The Special Issue on memory and storage computing of the Microprocessors and Microsystems (MICPRO) journal calls for high-quality research papers in this area. This special issue will address the controller, architecture and system design for memory and storage computing systems. It will also interest in topics about state-of-the-art storage and memory design, which is critical for the computing design, including reliability, performance and applications. Topics of interest for this special issue include, but are not limited to, the following relevant topics: − Storage Computing Architecture − Memory Computing Architecture − Systems for Memory and Computing − Systems for Storage and Computing − State-of-the-art storage technologies − State-of-the-art memory technologies − FPGA enabled in storage computing − Near Memory Computing − Near Storage Computing
Last updated by Dou Sun in 2020-07-30
Special Issue on Cyber physical Microsystems for signal processing and navigation systems
Submission Date: 2021-02-28

The advanced industrial system entirely deals with raw information from data statistics , data analysis, it’s interpretation, data visualization techniques which communicates the message clearly and efficiently through smart inertial sensor-based signal processing navigation system with to ensure safe and secure cooperation, and also contribute to new standards and regulations. The development of the Internet of Things will allow the advancement of much time and safety-critical embedded cyber physical systems (CPS). The new challenge of microsystems be to design, processing and interfacing integrated circuits, middleware, software programme and implement highly distributed and connected digital technologies. These technologies will be embedded in a multimode of increasingly autonomous physical components with various dynamics and satisfying multiple critical constraints including security, power efficiency and high performance. Micro and nano-electromechanical devices are hover to change integrated microsystems and provide paradigm shifts in sensing, communication, and navigation. Among them, micro and nano systems enable integrated platforms for environmental and biological sensing, inertial sensing, as well as energy harvesting, and are the building blocks for spectrum processing and timing applications. This special issue focus on the design and deployment of the next generation of smart sensors which utilize front-end microelectronic, microelectromechanical system, and processing technologies. Potential topics included, but not limited MEMS and NEMS system devices and structures for signal processing MEMS in optical signal processing and beamforming for navigation systems · Signal processing technique for integrating MEMS-based low-cost initial unit and GPS in vehicular navigation MEMS integration utilizing dynamic neural networks for vehicular navigation Wireless signal processing microelectromechanical pressure sensor for harsh environments Signal processing technique for improving the accuracy of MEMS sensors in navigation system MEMS inertial-GPS integrated system using wavelet denoising techniques for navigation system Design of an interface circuit for MEMS capacitive sensors for navigation system · Advanced and intelligent interface circuits for capacitive MEMS sensors for navigation system Intelligent sensor technology in autonomous vehicles · Vision based sensors and communication in intelligent transportation system and connected vehicles Intelligent multi sensor modules for intelligent transportation system Intelligent sensors for ubiquitous and low power vehicles speed monitoring Applications of signal sensors in vehicle detection Intelligent sensors in machine vision for robot navigation Intelligent sensors in machine vision for application on science and industry Vision based sensors for human assistive systems Intelligent sensors for satellite navigation and information fusion Intelligent sensors for improving smart home security Intelligent bio sensor for agricultural applications
Last updated by Dou Sun in 2020-07-30
Submission Date: 2021-08-15

In today’s scenario of the technical world, every industry requires some automation and intelligence that is combined in the form of embedded systems. Embedded systems are generally hardware components, which are fused with additional capabilities using customized software. In general, embedded systems are programmed with microprocessors or microcontrollers that are used predominantly to accomplish any particular task. Thus, the size of the embedded systems varies with different applications. Embedded systems comprise three components namely the physical hardware, application-specific software and Real-Time Operating System (RTOS). Most of the embedded systems are task-oriented focus on particular system functionalities. It possesses significant advantages such as low cost, low power, small-sized and high-performance systems that work predominantly with the dynamic real-time environment. However, as an individual technical entity, embedded systems fail to cope with emerging disruptive technical requirements. This is due to the reason that there exists a crucial gap between the physical and the information world in embedded applications. In contrast, convergence with present-day advanced techniques can bridge the gap and result in significant technological advancements. For instance, the pacemaker is a well-known embedded application; integrating the Internet of Things (IoT) technologies with it could assist in effective real-time health data analysis and emergency assistance. In the contemporary age of sophisticated technology, internet and Cyber-Physical Systems (CPS) forms an obvious part of the day to day life. Cyber-Physical Systems (CPS) is an integration of physical and logical systems to comprise interaction between digital, analog, and human components. These systems act as an establishment factor for various applications such as the Internet of Things (IoT), Industrial Internet of Things (IIoT), smart cities, industrial internet, smart grid, and several other smart systems (e.g., cars, building, parking, home, etc.). In general, CPS enables composite interaction between various heterogeneous cyber and physical components. The complex nature of Cyber-Physical Systems (CPS) leads to various purposeful and accidental disturbances across the network making the behavior prediction (normal or faulty system behavior) a difficult process. As an active measure, the convergence of the Cyber-Physical System (CPS) with embedded systems can significantly enhance both the sectors and offer numerous benefits. Further, it automates various systems processes with advanced intelligence measures. This special issue offers an excellent platform for the researchers to present their novel views and solutions on embedded systems and Cyber-Physical System (CPS) for automation and intelligence measures. The following topics are welcome but not restricted to: Innovation and automation in smart cities with embedded systems and cyber-physical systems (CPS) Frontiers in next generation high performance computing with embedded systems and cyber-physical systems (CPS) Automation intelligence in robotics with embedded systems and cyber-physical systems (CPS) Role of cyber-physical systems (CPS) and embedded systems in Internet of Things (IoT) smart cities (smart healthcare, smart transportation, smart buildings, etc.) Ubiquitous and persuasive computing with Internet of Things (IoT), embedded systems and cyber-physical systems (CPS) Artificial intelligence for Embedded and cyber-physical system (CPS) applications Concerted effort of Internet of Things (IoT), blockchain, cyber-physical system (CPS), Artificial Intelligence (AI) and embedded systems in neural and mental healthcare Design methodologies and architectural framework for sustainable cyber-physical system (CPS) with embedded systems Cloud-fog-edge computing for sustainable Internet of Things (IoT) and Cyber-Physical Systems (CPS) A new era of embedded computing with advanced technologies in embedded systems and cyber-physical systems (CPS) Combined effect of cyber-physical systems (CPS) and embedded systems for advancement insmart autonomous unmanned vehicle systems (UVS) Embedded system for intelligent mobile cyber-physical systems (CPS) Energy-efficient low power architectures for cyber-physical systems (CPS) using embedded systems Intelligent embedded systems architectures for cyber-physical systems (CPS) with federated learning (FL) and artificial intelligence (AI) techniques Design for resilience in cyber-physical systems (CPS) with embedded computing.
Last updated by Dou Sun in 2020-07-30
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