Meta-Heuristic Feature Optimization for ontology-based data security in a campus workplace with robotic assistance

Blockchain-Based Educational Management and Secure Software-Defined Networking in Smart Communities

As network multimedia technology has advanced rapidly, video communication has made enormous strides and has been used in many educational industries. The use of educational video communication is a simple, effective, and convenient method of communication. A fast and energy-efficient blockchain clustering algorithm is proposed to pick the desired cluster head in software-defined networking (SDN). This research suggests using an adaptive resource allocation method and secure communication networks to improve the quality of instructional video transmission. To better educational management resources (EMR), this research suggests using a particle swarm algorithm (PSA). Using the PSA-EMR, an extended particle swarm optimization model suggests a low-complexity solution for adaptive central and distributed resource allocation in communication networks. The method improves the productivity and accuracy of the teaching team. Finally, a cost-effective digital framework for collecting and transmitting high-quality instructional content was developed to conclude the research.

Collaborative Edge Computing Advances in Children's Behavior Observation for Social Internet of Things Systems in Preschool Education

Teachers who observe and analyze children's conduct can learn more about children and the reasons for their behavior. Promoting the fusion of adult and preschool vision through discussion is a basic competency of preschool teachers.Social Internet of Things (SIoT) uses recent advances in collaborativeand social relationships among SIoT users to take advantage of the network's strengths while posing new challenges.With the help of the theory of development, behavioral cues, and individual circumstances, a thorough and holistic interpretation can be made of children's behavior.There is a brief introduction to the concepts of collaborative edge computing and data storage in addition to examples of various socially-minded solutions; for long last, a list of research obstacles is provided. When measured numerically, the ECBO has a positive impact on student accomplishment (97.9%), developmental progress (95.3%), interpersonal interaction (94.6%), parental participation (98.5%), and attention ratio (98%).

Logistics Optimization Strategy Based on Deep Neural Framework

We propose a logistics optimization method based on improved graph convolutional networks to address the current problem of low product delivery rate and untimely product delivery during the peak period of e-commerce activities. Our method can learn excellent planning strategies from previous data and can give the best logistics strategy in time during the peak logistics period, which improves the product delivery rate and delivery time of logistics and greatly enhances the return on investment. First, we add a tensor rotation module to the graph convolution layer to better capture the global features of logistics nodes. Then we add inception structures in the temporal convolution layer to build multiscale temporal convolution filters to obtain temporal information of logistics nodes in different time-aware domains and reduce arithmetic power. Finally, we cooperate with e-commerce platforms to adopt logistics data as the experimental database. The experimental results show that our method greatly accelerates the logistics planning speed, improves the product delivery rate, ensures the timely delivery of products, and increases the return on investment.