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Application Research of Deep Convolutional Neural Network in Computer Vision

by Lei Wang

Journal of Networking and Telecommunications, Vol.4, No.1, 2022; 366 Views

As an important research achievement in the field of brain like computing, deep convolution neural network has been widely used in many fields such as computer vision, natural language processing, information retrieval, speech recognition, semantic understanding and so on. It has set off a wave of neural network research in industry and academia and promoted the development of artificial intelligence. At present, the deep convolution neural network mainly simulates the complex hierarchical cognitive laws of the human brain by increasing the number of layers of the network, using a larger training data set, and improving the network structure or training learning algorithm of the existing neural network, so as to narrow the gap with the visual system of the human brain and enable the machine to acquire the capability of â€œabstract conceptsâ€. Deep convolution neural network has achieved great success in many computer vision tasks such as image classification, target detection, face recognition, pedestrian recognition, etc. Firstly, this paper reviews the development history of convolutional neural networks. Then, the working principle of the deep convolution neural network is analyzed in detail. Then, this paper mainly introduces the representative achievements of convolution neural network from the following two aspects, and shows the improvement effect of various technical methods on image classification accuracy through examples. From the aspect of adding network layers, the structures of classical convolutional neural networks such as AlexNet, ZF-Net, VGG, GoogLeNet and ResNet are discussed and analyzed. From the aspect of increasing the size of data set, the difficulties of manually adding labeled samples and the effect of using data amplification technology on improving the performance of neural network are introduced. This paper focuses on the latest research progress of convolution neural network in image classification and face recognition. Finally, the problems and challenges to be solved in future brain-like intelligence research based on deep convolution neural network are proposed.

Application of Optical Network Transmission Technology in Telecommunication Network

by Guande Luo

Journal of Networking and Telecommunications, Vol.5, No.1, 2023; 347 Views

In the telecommunication network, the optical network transmission system is one of the most important components. The system mainly includes two elements, namely transmission media and node equipment. In the specific operation process, the effective use of the system can fundamentally provide practical and effective support for the telecommunication network, and it is safer and more effective applied in the telecommunication support network and various business networks. Moreover, it can carry out long-distance and large-capacity business transmission. Optical network transmission system and technology has a vital direct impact on the safe operation and innovative development of telecommunications networks, so it is very important and necessary to analyze and discuss the application of this technology in telecommunications networks. This article focuses on the analysis and discussion of the application of optical network transmission technology in telecommunication network and the specific implementation strategy, aiming to provide some reference for relevant practitioners.

Research on Computer Applications Based on Management of Network Information Security Technology

by Xiaofeng Ma, Norriza Hussin

Journal of Networking and Telecommunications, Vol.5, No.1, 2023; 395 Views

With the rapid development of computer network, the fully opened network has greatly changed peopleâ€™s production and daily life and the traditional industries are no longer closed. However, there are also many network security problems. To deal with it, this article explores the computer applications based on management of network information security technology. It analyzes the main factors threatening network information security from the security problems caused by computer applications. Combining with the application practice, specific measures are put forward for reference.

Research and Application of Code Similarity Based on Submission

by Yu Lang

Journal of Networking and Telecommunications, Vol.2, No.1, 2020; 353 Views

With the continuous accumulation of resources, the similarity detection of code is becoming more difficult, and the difficulty of code reusingÂ and rechecking is also increasing. In view of this problem, this paper proposes a code recommendation and check-research based on submission,Â which usesÂ differential code cloning and word vector methods to find candidate code sets that are similar to incremental text, and usesÂ feature extraction and clustering to select the most relevant codes from the candidate code sets to obtain repetitive codes. At the same time,Â it isÂ recommended toÂ programmersÂ combined with relevance scores. Experimental results show that this method isÂ feasible to some extent.

Research on the Application of Power Communication Technology in Smart Grid

by Qian Zhou

Journal of Networking and Telecommunications, Vol.6, No.1, 2024; 238 Views

The continuous development of modern society, science and technology has promoted the rapid development of various industries in China and greatly supported social development and peopleâ€™s lives. Among them, the power system is an important part. Perfecting the power system and building a high-quality power grid system need to be focused on at present. This article mainly analyzes the necessity of applying power communication technology in smart grid and the demand of smart grid for power communication technology. Some specific application suggestions are put forward for reference.

Design Optimization and Application Analysis of Embedded C Program

by Yi Jiang

Journal of Networking and Telecommunications, Vol.3, No.1, 2021; 92 Views

From MCU (Micro Control Unit) to ARM (Advanced RISC Machine), from smart phone to industrial Internet of Things, and to embedded development technology, applications have changed rapidly in the past 10 years, and embedded system has been widely used. Due to the characteristics of C programming language and its flexibility in language level, more and more programmers have chosen the embedded application development. Therefore, by analyzing the characteristics of the embedded system and C programming language, this paper discusses the application and optimization of embedded system as well as C programming language, aiming to help developers to improve the efficiency of program development and execution.

Application Research of Computer Technology in Office Automation

by Xiuli Lu, Zhou Yang, Yan Wang, Yongli Liu

Journal of Networking and Telecommunications, Vol.6, No.1, 2024; 244 Views

With the rapid development of global economic integration, people all over the world can communicate with their friends and colleagues through computers, which not only brings convenience to people's lives, but also brings great convenience to their work. Industries, enterprises have to face increasingly complex tasks, their work ability and comprehensive quality requirements are also increasing. The traditional management concept and management mode can not adapt to the needs of enterprise office automation. The enterprise should keep pace with the Times, flexible use of computer technology, further improve the efficiency of office automation.

Data Augmentation Technology for Improving the Recognition Accuracy of Target Image

by Feng Ling, Rajamohan Parthasarathy, Ye Wang, Sokchoo Ng

Journal of Networking and Telecommunications, Vol.5, No.1, 2023; 292 Views

Relevant studies have pointed out that public has paid highly attention on the accuracy of neural network algorithm as it is widely applied in recent years. According to the present practice, it is quite difficult to collect related data when applying neural network algorithm. Besides, problems of trifles and complication exists in data image labeling process, which leads to a bad impact on the recognition accuracy of targets. In this article, analyzes are conducted on the relevant data from the perspective of data image processing with neural network algorithm as the core of this work. Besides, corresponding data augmentation technology is also put forward. Generally speaking, this technology has effectively realized the simulation under different shooting and lighting conditions by flipping, transforming and changing the pixel positions of the related original images, which contributes to the expansion of database types and promotes the robustness of detection work.