VOLUME 5 , ISSUE 3 (Oct 2020) - List of articles

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Research on Commodity Mixed Recommendation Algorithm

Hao Chang/ Shengquan Yang

Abstract With the advent of the era of big data, our lives generate huge amounts of data every day, and the field of e-commerce is no exception. It is particularly important to analyze these data and recommend products. It is reported that through the recommendation algorithm, Amazon has increased its sales by about 30%. Among the recommended algorithms, the collaborative filtering algorithm is currently relatively mature and has achieved very good results in various fields. But the traditional (..)

DOI: 10.21307/ijanmc-2020-021

Rheological Properties of Pullulan and Aloe Vera Nanofiber Solutions

Haifa El-sadi/ Shady Sally/ Alex Bossart/ Dilhan Kalyon

Abstract Nanofibers have been used with increasing success for drug delivery and various biomedical engineering applications. The mixture of 13% pullulan-aloe vera can be pumped with a minor effects on the flow behavior. The fiber is then characterized by SEM, shear viscosity, storage and loss moduli. The oscillatory shear data is employed. The mixture has a complex rheological properties that includes extreme shear-thinning as well as viscoelastic properties and yield stress. The rheology of th(..)

DOI: 10.21307/ijanmc-2020-022

Improvement of Architecture Based on Hierarchical Message Bus

Zhengwei Wang/ Jinhui Li/ Kun Wang

Abstract The traditional architecture based on the hierarchical message bus has defects such as strict component requirements and lack of support for reuse. The article introduces message-message modem and interface-message modem construction middleware to propose a new hierarchical message bus. The structure new hierarchical message bus solves the problem that the hierarchical message bus architecture requires too strict system components, and the components that fail to provide corresponding i(..)

DOI: 10.21307/ijanmc-2020-023

A Comparative Study of Face Recognition Classification Algorithms

Changyuan Wang/ Guang Li/ Pengxiang Xue/ Qiyou Wu

Abstract Due to the different classification effects and accuracy of different classification algorithms in machine learning, it is inconvenient for scientific researchers to choose which classification algorithm to use. This paper uses the face data published by Cambridge University as an experiment. The experiment first reduces the dimensionality of the data through the principal component analysis (PCA) algorithm, extracts the main features of the data, and then respectively through linear lo(..)

DOI: 10.21307/ijanmc-2020-024

Design Heat Exchanger: Optimization and Efficiency

Haifa El-Sadi/ Joe Aitken/ Jason Ganley/ David Ruyffelaert/ Cam Sweeney

Abstract Modern commercial and residential buildings procure HVAC systems, to provide heating and cooling for designed open and enclosed spaces to dissipate throughout the accustomed zones. HVAC (heating, ventilating, and air conditioning) systems have become a required industry standard for the construction of new buildings. The objective is the optimization of a heat exchanger model by resolving common system concerns; efficiency, fouling, leakage, dead zones, and vibration. These issues are p(..)

DOI: 10.21307/ijanmc-2020-025

A Method to Access a Decimal Network (IPV9) Resource

Guangzhou Liu/ Fuya Yu

Abstract Network security is highly valued by world leaders. The current Internet technology core is IPv4, IPv6, completely controlled by the United States. On December 14, 2017, the US Federal Communications Commission (FCC) formally abolished the net neutrality law. At that time, the Internet took on an obvious political color and posed a serious threat to Internet applications in various countries. China’s economy is already highly dependent on the Internet, and if the network is disrupted, t(..)

DOI: 10.21307/ijanmc-2020-026

Demand Forecast of Weapon Equipment Spare Parts Based on Improved Gray-Markov Model

Ou Li/ Bailin Liu/ Chenhao Li/ Dan Gao

Abstract The demand for spare parts of weapons and equipment is time-varying and random. It is difficult to predict the demand for spare parts. Therefore, on the basis of gray GM(1,1), a state transition probability matrix based on improved state division is used to establish a demand forecast model for weapon equipment and spare parts. The model not only considers the characteristics of the GM(1,1) model’s strong handling of monotonic sequences, but also extracts the characteristics of random f(..)

DOI: 10.21307/ijanmc-2020-027

Analysis and Forecast of Urban Air Quality Based on BP Neural Network

Wenjing Wang/ Shengquan Yang

Abstract The rapid economic development has led to the declining quality of the atmospheric environment. At present, my country is facing a very serious problem of atmospheric environmental pollution. Accurate prediction of air quality plays a vital role in the realization of air pollution control by environmental protection departments. Based on the historical air pollution concentration data, this paper establishes a BP neural network model to learn the statistical law of air pollutant values (..)

DOI: 10.21307/ijanmc-2020-028

Hierarchical Image Object Search Based on Deep Reinforcement Learning

Wei Zhang/ Hongge Yao/ Yuxing Tan

Abstract Object detection technology occupies a pivotal position in the field of modern computer vision research, its purpose is to accurately locate the object human beings are looking for in the image and classify the object. With the development of deep learning technology, convolutional neural networks are widely used because of their outstanding performance in feature extraction, which greatly improves the speed and accuracy of object detection. In recent years, reinforcement learning techn(..)

DOI: 10.21307/ijanmc-2020-029

Interview with the Inventor of the Future Network IPV9

Guoshao Chen/ Yubian Wang

Abstract With the rapid development of the Internet, from the PC terminal to the mobile terminal, from big data systems to intelligent hardware, technology has shown the unique charm of the Internet. With the development of the Internet, the network information security and network sovereignty issues involved have become increasingly prominent. Therefore, only in an environment of security, equality, and mutual assistance can the Internet play its due economic and social value. The emergence of (..)

DOI: 10.21307/ijanmc-2020-030

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