A Wireless Network Communication Capacity Control Technology Based on Fuzzy Wavelet Neural Network

The communication capacity control of the computer wireless network is the basis for realizing the efficient communication of massive data. In order to study the communication capacity control technology of the computer wireless network, improve the control effect of a large amount of data communication, and calculate the capacity of the wireless network in real time, this paper uses the fuzzy wavelet neural network to predict the wireless network channel. After the interference-free channel is obtained, the load balancing strategy of the ant colony optimization algorithm is used to filter the channel, and the channel allocation sequence with the most balanced load distribution is obtained, and a priority selection list is generated. After discretizing the channels in the largest discretization selection list, the channel sequence is allocated to the pair of nodes with communication requests according to the greedy coloring algorithm, so as to realize the communication capacity control of the computer wireless network. The test results show that the technology can guarantee good communication performance in both static and dynamic networks and can effectively complete network communication of massive data, and the communication capacity control effect is good.

Capacity Control in Indoor Spaces Using Machine Learning Techniques Together with BLE Technology

At present, capacity control in indoor spaces is critical in the current situation in which we are living in, due to the pandemic. In this work, we propose a new solution using machine learning techniques with BLE technology. This study presents a real experiment in a university environment and we study three different prediction models using machine learning techniques—specifically, logistic regression, decision trees and artificial neural networks. As a conclusion, the study shows that machine learning techniques, in particular decision trees, together with BLE technology, provide a solution to the problem. The contribution of this research work shows that the prediction model obtained is capable of detecting when the COVID capacity of an enclosed space is exceeded. In addition, it ensures that no false negatives are produced, i.e., all the people inside the laboratory will be correctly counted.

Pola Spasial Daya Dukung Sumber Daya Air Di Kecamatan Driyorejo Kabupaten Gresik

The Regional Disaster Management Agency (BPBD) of Gresik Regency in 2019 stated that some villages in the Driyorejo District, Gresik Regency experienced drought, this condition is in contrast to the availability of water in 2012. The purpose of this study is to determine the spatial pattern of the carrying capacity of water resources. and direction of control policies for the carrying capacity of water resources. The research method used quantitative and qualitative descriptive analysis with the analysis technique of Water Bearing Capacity (DDA), Analytical Hierarchy Process (AHP) and spatial analysis using Arcgis 10.1 Software. Data collection techniques in the form of observation, documentation, questionnaires and agency surveys. The results showed that the water carrying capacity in Driyorejo District was 99.7% surplus and 0.3% deficit. The status of deficit water carrying capacity is in Petiken and Mojosarirejo Villages, especially in the industrial and service trade sectors. The main priority for the direction of the water carrying capacity control policy based on AHP is to improve land rehabilitation, development of infrastructure and improve the quality and quantity of water sources with scores of 161.4, 98 and 40.6, respectively.

A Brief Review on Nanoparticles: Type of Platforms, Biological synthesis & Evaluation

Nanoparticles refers to as particulate dispersions or solid particles with a size in the range of 10-1000nm. The nanoparticles have been used to alter the physical approach and improve the pharmacokinetic and pharmacodynamic properties of many type of drug molecules. They have significant advantages in conventional drug delivery in form of high specificity, high stability, high drug carrying capacity, control release ability, possibility occurs to different rout of administration and having a capability to deliver hydrophobic and hydrophilic drug molecules. This review focuses on type, preparation and evaluation of nanoparticles.