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The first direction is from the Sensors layer to the Multi-Functional layer.
The other connection is from the Multi-Functional layer to the General sink node layer.
The proposed system consists of three layers: the General sink node layer, the Multi-Functional layer, and the Sensors layer.
The other direction starts with the General sink node layer through the Multi-Functional layer down to the Sensors layer.
In this direction the data, which are collected by sensors, is sent to the Multi-Functional layer components.
Consequently, each sink node in the Multi-Functional layer (Manager, Classifier, and Prioritizer) sends its report to the upper layer (General sink node), see Fig. 3. 3.
The second direction is an opposite of the first one and starts as follows: the General sink node receives the Multi-Functional layer reports.
The first direction consists of two connection types: one from the lower level layer (the Sensor layer) and Multi-Functional layer.
A novel lightweight, multi-functional layer comprised of 1D porous Fe-embedded nitrogen-doped carbon nanofibers (Fe-N-C) and 2D graphene sheets is introduced to modify a commercial polypropylene (PP) separator for use in lithium-sulfur batteries.
The proposed system comprises three management layers: the General sink node layer, the Multi-Functional sink layer, and the Sensors layer.
To address these problems, this paper proposes a two-layer multi-label predictor, namely Mem-ADSVM, which can identify membrane proteins (Layer I) and their multi-functional types (Layer II).
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