International Journal of Embedded Systems and Emerging Technologies

International Journal of Embedded Systems and Emerging Technologies

International Journal of Embedded Systems and Emerging Technologies [2456-723X(e)] is a peer-reviewed hybrid open-access journal launched in 2015 serving the large community of researchers who deals with embedded systems and real-time computing. Journals comprise both experimental and theoretical methods that are used in designing and making homogeneous and heterogeneous embedded systems. Journal encourages authors, and editors to contribute original research articles as well as review papers that comprehensively describe the subject and emerging trends.

• Real-Time Embedded Systems: Real-time hardware and software, hard and soft real-time systems, deterministic computing, task scheduling, interrupt management, timing analysis, embedded control, and safety-critical applications.
• Embedded Hardware and Software: Embedded processors, firmware, device drivers, hardware-software integration, board-level design, embedded programming, peripheral interfacing, and application-specific embedded platforms.
• Microcontrollers and Microprocessors: 8-bit, 16-bit, 32-bit and 64-bit controllers, ARM processors, RISC architectures, microprocessor systems, memory organization, peripherals, interrupts, and embedded processor applications.
• Real-Time Operating Systems: RTOS architecture, scheduling algorithms, task management, synchronization, inter-process communication, memory management, embedded kernels, and deterministic operating systems.
• System-on-Chip and System-on-Module: SoC, SoM, MPSoC, heterogeneous computing, integrated peripherals, embedded multicore processors, hardware accelerators, and application-specific system integration.
• FPGA and Reconfigurable Embedded Systems: FPGA-based embedded systems, programmable logic, hardware acceleration, HDL-based design, soft processors, reconfigurable computing, and rapid prototyping.
• Hybrid Embedded Systems: Continuous-discrete systems, hybrid control, embedded control models, state machines, formal modelling, automotive software architectures, and integrated cyber-physical systems.
• Embedded Communication Interfaces: UART, SPI, I2C, CAN, LIN, USB, Ethernet, RS-232, RS-422, RS-485, synchronous and asynchronous serial interfaces, and industrial communication protocols.
• Wireless Embedded Communication: Wi-Fi, Bluetooth, BLE, Zigbee, LoRa, NFC, RFID, cellular IoT, NB-IoT, LPWAN, and embedded wireless networks.
• Embedded Computing and Communication Systems: Smart mobility, monitoring systems, communication nodes, wireless embedded devices, smart wearables, digital signal processors, connected controllers, and distributed embedded platforms.
• Analog-to-Digital and Digital-to-Analog Systems: ADCs, DACs, sampling, quantization, reference voltage, signal conditioning, data acquisition, mixed-signal interfaces, and embedded measurement systems.
• Timers and Time Processing Units: Hardware timers, counters, watchdog timers, PWM generation, event capture, real-time clocks, time-base generation, pulse measurement, and timing peripherals.
• Memory and Storage in Embedded Systems: RAM, ROM, flash memory, EEPROM, multimedia cards, SD cards, embedded storage controllers, nonvolatile memory, memory interfaces, and storage optimization.
• Digital System Interfacing: Processor-peripheral interfaces, sensor interfaces, display interfaces, communication buses, hardware-software boundaries, mixed-signal interfacing, and embedded I/O systems.
• Sensors and Actuators: Smart sensors, sensor interfacing, transducers, actuators, sensor fusion, embedded measurement, environmental sensors, motion sensors, and actuator-control systems.
• Internet of Things: Embedded IoT nodes, connected devices, smart appliances, industrial IoT, remote monitoring, cloud-connected systems, IoT gateways, machine-to-machine communication, and smart infrastructure.
• Edge Computing and Edge AI: Edge processing, TinyML, embedded inference, local analytics, low-latency computing, AI-enabled sensors, edge intelligence, and distributed embedded AI.
• Artificial Intelligence in Embedded Systems: Machine learning, deep learning, neural networks, embedded AI processors, AI chips, intelligent automation, predictive analytics, adaptive embedded systems, and resource-efficient AI models.
• Embedded Signal Processing: Real-time DSP, digital filters, audio and speech processing, image processing, vibration analysis, sensor signal processing, feature extraction, and embedded multimedia processing.
• Automotive Embedded Systems: Electronic control units, vehicle-control systems, CAN-based networks, automotive sensors, ADAS, battery-management systems, infotainment, electric-vehicle controllers, and automotive software.
• Industrial Embedded Systems: Industrial controllers, process monitoring, PLC integration, machine automation, embedded diagnostics, industrial communication, smart manufacturing, and Industry 4.0 applications.
• Robotics and Autonomous Systems: Mobile robots, robotic manipulators, embedded navigation, motor control, localization, path planning, autonomous vehicles, sensor fusion, and robotic control systems.
• Cyber-Physical Systems: Embedded sensing, physical-process control, networked embedded systems, real-time feedback, distributed intelligence, industrial CPS, and smart infrastructure.
• Biomedical Embedded Systems: Wearable devices, portable diagnostics, patient monitoring, biomedical sensors, physiological signal acquisition, assistive devices, and implantable embedded systems.
• Smart Wearable and Consumer Embedded Devices: Smartwatches, fitness devices, portable electronics, consumer IoT, wearable sensing, embedded user interfaces, and low-power connected devices.
• Embedded Security: Secure boot, firmware security, cryptographic hardware, authentication, trusted execution, secure communication, hardware security, side-channel protection, and embedded cybersecurity.
• Low-Power Embedded Systems: Energy-efficient microcontrollers, sleep modes, dynamic power management, battery-operated devices, energy harvesting, low-power wireless nodes, and ultra-low-power sensing.
• Embedded Control Systems: PID control, adaptive control, model-predictive control, motor control, process control, feedback systems, embedded automation, and intelligent control.
• Formal Methods and Embedded System Verification: Model checking, state-machine verification, temporal logic, safety verification, UML-based modelling, SPIN, SMV, validation, and formal verification of embedded software.
• Hardware-in-the-Loop and Real-Time Simulation: HIL testing, software-in-the-loop, rapid control prototyping, real-time simulation, embedded validation, controller testing, and virtual commissioning.
• Cloud-Connected Embedded Systems: Cloud integration, remote device management, telemetry, OTA updates, embedded cloud platforms, data synchronization, and distributed monitoring.
• Embedded Systems for Smart Cities and Infrastructure: Smart lighting, smart meters, traffic monitoring, building automation, environmental monitoring, public-safety systems, and intelligent urban infrastructure.
• Emerging Embedded Technologies: RISC-V processors, neuromorphic hardware, chiplets, embedded digital twins, autonomous sensing, quantum-inspired embedded systems, flexible electronics, and next-generation embedded architectures.