Improved low power scheduler for OSS-7: An open source DASH7 stack

Author(s):  
Mohammad Hassan Shahid ◽  
Shahid Masud
Keyword(s):  
Sensors ◽  
2016 ◽  
Vol 16 (6) ◽  
pp. 942 ◽  
Author(s):  
Kyukwang Kim ◽  
Hyeong Kim ◽  
Hwijoon Lim ◽  
Hyun Myung

2019 ◽  
Vol 7 ◽  
Author(s):  
Jeffery S. Horsburgh ◽  
Juan Caraballo ◽  
Maurier Ramírez ◽  
Anthony K. Aufdenkampe ◽  
David B. Arscott ◽  
...  
Keyword(s):  

2018 ◽  
Author(s):  
Neel Gala ◽  
Madhusudan G. S. ◽  
Paul George ◽  
Anmol Sahoo ◽  
Arjun Menon ◽  
...  

Processors have become ubiquitous in all the appliances and machines we use, in both consumer and industrial settings. These processors range from extremely small and low power micro-controllers (used in motor controls, home robots and appliances) to high-performance multi-core processors (used in servers and supercomputers). However, the growth of modern AI/ML environments (like Caffe[Jia et al. 2014], Tensorflow[Abadi et al. 2016]) and the need for features like enhanced security has forced the industry to look beyond general purpose solutions and towards domain-specific-customizations. While a large number of companies today can develop custom ASICs (Application Specific Integrated Chips) and license specific silicon blocks from chip-vendors to develop a customized SoCs (System on Chips), at the heart of every design is the processor and the associated hardware. To serve modern workloads better, these processors also need to be customized, upgraded, re-designed and augmented suitably. This requires that vendors/consumers have access to appropriate processor variants and the flexibility to make modifications and ship them at an affordable cost.


2018 ◽  
Vol 8 (4) ◽  
pp. 47 ◽  
Author(s):  
Jennifer Hasler ◽  
Aishwarya Natarajan ◽  
Sihwan Kim

This paper shows the first step in analog (and mixed signal) abstraction utilized in large-scale Field Programmable Analog Arrays (FPAA), encoded in the open-source SciLab/Xcos based toolset. Having any opportunity of a wide-scale utilization of ultra-low power technology both requires programmability/reconfigurability as well as abstractable tools. Abstraction is essential both make systems rapidly, as well as reduce the barrier for a number of users to use ultra-low power physical computing techniques. Analog devices, circuits, and systems are abstractable and retain their energy efficient opportunities compared with custom digital hardware. We will present the analog (and mixed signal) abstraction developed for the open-source toolkit used for the SoC FPAAs. Abstraction of Blocks in the FPAA block library makes the SoC FPAA ecosystem accessible to system-level designers while still enabling circuit designers the freedom to build at a low level. Multiple working test cases of various levels of complexity illustrate the analog abstraction capability. The FPAA block library provides a starting point for discussing the fundamental block concepts of analog computational approaches.


2021 ◽  
Author(s):  
Aman Kumar Tiwari ◽  
Priyanka Chaudhari ◽  
Shardul Pattewar ◽  
Rohini Deshmukh

An on-line monitoring system using LoRa based wireless technology for manhole cover is proposed. The system includes sensor sensing nodes, LoRaWAN network and application. LoRaWAN based IoT has very low power consumption for long-distance transmission. We use the accelerometer sensor to monitor the position, displacement or damage of manhole covers used in sewage systems. If these covers are moved or damaged, then LoRa board alerts the authorities LoRa gateway. The gateway is connected to The Things Network (TTN), a cloud-based crowd-funded open source LoRaWAN platform. The data is uploaded to the cloud and stored, and it will alert to the maintenance department. On TTN, our application will be launched and integrated with different features such as SMS.


Electronics ◽  
2021 ◽  
Vol 11 (1) ◽  
pp. 8
Author(s):  
José M. Cañas ◽  
Jesús Fernández-Conde ◽  
Julio Vega ◽  
Juan Ordóñez

Reconfigurable computing provides a paradigm to create intelligent systems different from the classic software computing approach. Instead of using a processor with an instruction set, a full stack of middleware, and an application program running on top, the field-programmable gate arrays (FPGAs) integrate a cell set that can be configured in different ways. A few vendors have dominated this market with their proprietary tools, hardware devices, and boards, resulting in fragmented ecosystems with few standards and little interoperation. However, a new and complete toolchain for FPGAs with its associated open tools has recently emerged from the open-source community. Robotics is an expanding application field that may definitely benefit from this revolution, as fast speed and low power consumption are usual requirements. This paper hypothesizes that basic reactive robot behaviors may be easily designed following the reconfigurable computing approach and the state-of-the-art open FPGA toolchain. They provide new abstractions such as circuit blocks and wires for building intelligent robots. Visual programming and block libraries make such development painless and reliable. As experimental validation, two reactive behaviors have been created in a real robot involving common sensors, actuators, and in-between logic. They have been also implemented using classic software programming for comparison purposes. Results are discussed and show that the development of reactive robot behaviors using reconfigurable computing and open tools is feasible, also achieving a high degree of simplicity and reusability, and benefiting from FPGAs’ low power consumption and time-critical responsiveness.


Author(s):  
Fadi P. Deek ◽  
James A. M. McHugh
Keyword(s):  

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