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The Automatically Switched Optical Network Signalling Technology

China Communications 2008年第1期5卷 39-44页

作者： zhang haiyi China Academy of telecommunications research , MII China Academy of Telecommunications Research MII China

ASON is a dynamic and smart optical transporttechnology. This paper analyze the ASON architectureand the requirement of the distributed call andconnection management. Finally present the signalingprotocol selection rule.

关键词： ASON architecture signaling

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Radiography Image Classification Using Deep Convolutional Neural Networks

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Journal of Computer and Communications 2024年第6期12卷 199-209页

作者： Ahmad Chowdhury haiyi zhang Department of Computer Science Acadia University Wolfville Canada

Research has shown that chest radiography images of patients with different diseases, such as pneumonia, COVID-19, SARS, pneumothorax, etc., all exhibit some form of abnormality. Several deep learning techniques can be used to identify each of these anomalies in the chest x-ray images. Convolutional neural networks (CNNs) have shown great success in the fields of image recognition and image classification since there are numerous large-scale annotated image datasets available. The classification of medical images, particularly radiographic images, remains one of the biggest hurdles in medical diagnosis because of the restricted availability of annotated medical images. However, such difficulty can be solved by utilizing several deep learning strategies, including data augmentation and transfer learning. The aim was to build a model that would detect abnormalities in chest x-ray images with the highest probability. To do that, different models were built with different features. While making a CNN model, one of the main tasks is to tune the model by changing the hyperparameters and layers so that the model gives out good training and testing results. In our case, three different models were built, and finally, the last one gave out the best-predicted results. From that last model, we got 98% training accuracy, 84% validation, and 81% testing accuracy. The reason behind the final model giving out the best evaluation scores is that it was a well-fitted model. There was no overfitting or underfitting issues. Our aim with this project was to make a tool using the CNN model in R language, which will help detect abnormalities in radiography images. The tool will be able to detect diseases such as Pneumonia, Covid-19, Effusions, Infiltration, Pneumothorax, and others. Because of its high accuracy, this research chose to use supervised multi-class classification techniques as well as Convolutional Neural Networks (CNNs) to classify different chest x-ray images. CNNs are extr

关键词： CNN Radiography Image Classification R Keras Chest X-Ray Machine Learning

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Study of the China PTN Industry Standard and Its Key Issues

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ZTE Communications 2010年第3期8卷 1-4页

作者： zhang haiyi Li Fang Institute of Communication Standards Research China Academy of Telecommunication Research of MIIT Beijing 100191 P. R. China

In the area of carrier technologies, Packet Transport Networking （PTN） continues to attract significant research interest. Although international standards are not yet complete, China is leading the way in developing PTN equipment and network applications. General Technical Requirements for Chinese Packet Transport Networks is the PTN industry standard in China defined by China Communications Standards Association （CCSA）. This article introduces the background of PTN technology and standards, then illustrates four important aspects： PTN network architecture, multi-services bearing and data transfer function, PTN network protection, ana OAM architecture an（ functional requirements. Taking the profit motives of Chinese carriers and vendors into consideration, some key issues in PTN technology selection, network applications, and future evolution are discussed.

关键词： Issues Key PTN China network architecture international standards technology network protection transfer function Chinese significant research defined aspects issues future four data area OAM

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Personalized Web Image Retrieval Based on User Interest Model

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国际计算机前沿大会会议论文集 2015年第1期 54-56页

作者： Zhaowen Qiu Haiyan Chen haiyi zhang Institute of Information and Computer Engineering Northeast Forestry UniversityChina Jodrey School of Computer Science Acadia UniversityCanada

The traditional search engines don’t consider that the users interest are different, and they don’t provide personalized retrieval service, so the retrieval efficiency is not high. In order to solve the problem, a method for personalized web image retrieval based on user interest model is proposed. Firstly, the formalized definition of user interest model is provided. Then the user interest model combines the methods of explicit tracking and implicit tracking to improve user’s interest information and provide personalized web image retrieval. Experimental results show that the user interest model can be successfully applied in web image retrieval.

关键词： user interest model personalized interest learning web image retrieval

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Safeguard Technology Contribution contracts

Safeguard Technology Contribution contracts

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2007年山东大学“海右”博士生学术论坛

作者： haiyi Zhao and Weiguo zhang

Table of Contents: Introduction I. Technology Transaction and Demand of Institutional Intervention 1. What kind of Rights is Transferred? *** to Fulfill the Delivery Duty? *** to Arrange Payment Issues? II Peculiarities of Technology Contribution Contract III Comparison and Contrast of Representative Correlative Mechanisms and

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