Integrated sensor fusion is a novel method in which data from various sensors is intelligently fused to enable software that enhances the performance of an application or an entire system. This technique uses a networ...
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The rapid deployment of IoT networks in different industrial services has caused the emanation of a huge volume of data from sensors and monitors. The efficient analysis and compact representation of the big data gene...
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For dependable surveillance of various surroundings concerning civilian and defense purposes and to cooperate transmit the information they collect across the wireless network to a 'Base station (BS)', a '...
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Wildlife conservation using continuous monitoring of environmental factors and biomedical classification, which generate a vast amount of sensor data, is a challenge due to limited bandwidth in the case of remote moni...
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ISBN:
(纸本)9798350384406
Wildlife conservation using continuous monitoring of environmental factors and biomedical classification, which generate a vast amount of sensor data, is a challenge due to limited bandwidth in the case of remote monitoring. It becomes critical to have classification where data is generated. We present a novel multiplierless framework for in-filter acoustic classification using Margin Propagation (MP) approximation used in low-power edge devices deployable in remote areas with limited connectivity. The entire design of this classification framework is based on template-based kernel machine, which uses basic primitives like addition/subtraction, shift, and comparator operations, for hardware implementation. Unlike full precision training methods for traditional classification, we use MP-based approximation for training, including backpropagation mitigating approximation errors. The proposed framework is general enough for acoustic classification. However, we demonstrate the hardware friendliness of this framework by implementing a parallel Finite Impulse Response (FIR) filter bank in a kernel machine classifier optimized for a Field Programmable Gate Array (FPGA). The FIR filter acts as the feature extractor and non-linear kernel for the kernel machine implemented using MP approximation. The FPGA implementation on Spartan 7 shows that the MP-approximated in-filter kernel machine is more efficient than traditional classification frameworks with just less than 1K slices.
Improvement in Precision Agriculture is the field that is a very crucial requirement for any country on this earth. Using Wireless sensor Network, we can receive and control the agriculture parameters. Arduino microco...
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distributed Machine Learning (DML) on resource-constrained edge devices holds immense potential for real-world applications. However, achieving fast convergence in DML in these heterogeneous environments remains a sig...
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The proceedings contain 127 papers. The topics discussed include: wireless edge controller for robot education using MQTT on dobot magician lite;a PID control algorithm for path tracking of a nonholonomic car-like rob...
ISBN:
(纸本)9798350365191
The proceedings contain 127 papers. The topics discussed include: wireless edge controller for robot education using MQTT on dobot magician lite;a PID control algorithm for path tracking of a nonholonomic car-like robot;optimizing Latin to Balinese script transliteration: hybrid Jaro Winkler and Damerau Levenshtein methods;productivity improvement through energy efficiency training in manufacturing industry;validation of an academic resilience scale for Indonesian university students;assessing the relationship between regional economic advancement and digital activity;optimizing optical character recognition accuracy in livestock weighting systems through distributed intelligent computer vision;and early warning forecasting of large induction motor in the oil and gas industry from deep learning.
It has been established for a long time and has evolved correspondingly that actuators and sensorsystems may be connected to the internet for the purpose of continuously monitoring and controlling biological phenomen...
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With the extreme increase in the global warming, it is necessary to investigate the energy management problem (EMP) along with the consideration of low carbon emission for the ship-integrated energy system during the ...
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Crowd sensing is a way to obtain multiple sensing data onto users or mobile devices and is widely used in industrial Internet, smart city, smart medical, etc. However, when users upload sensing data involving sensitiv...
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