Insect pests have always been one of the main hazards affecting crop yield and quality in traditional agriculture.An accurate and timely pest detection algorithm is essential for effective pest control; however, the existing approach suffers from a sharp performance drop when it comes to the pest detection task due to the lack of learning samples a
Research on eco-efficiency measurement, spatiotemporal analysis and prosperity warning based on the three-stage chain network SBM and MS-DDFM
This paper studies the changes of ecological efficiency (eco-efficiency) boom in China.Firstly, based on the improvement of the three-stage slack-based model (SBM), a hybrid chain network model is used to clarify the internal development structure of eco-efficiency.Then, Taking eco-efficiency as the benchmark indicator, the boom warning indicators
Performance of Soft Viterbi Decoder enhanced with Non-Transmittable Codewords for storage media
The introduction of Non-Transmittable Codewords (NTCs) into Viterbi Algorithm AFTERSHAVE Decoder has emerged as one of the best ways of improving performance of the Viterbi Algorithm Decoder.However, the performance has been tested only in hard decision Viterbi Decoder in telecommunication systems, but not in soft decision Viterbi Decoder and stora
How Does Prior Knowledge Influence Learning Engagement? The Mediating Roles of Cognitive Load and Help-Seeking
Research on learning engagement and cognitive load theory have proceeded in parallel with little cross-over of ideas.The aim of this research was to test an integrative model that examines how prior knowledge influences learning engagement via cognitive load and help-seeking strategies.A sample of 356 students from two middle schools in the north o