Mobile Networks and Applications

https://link.springer.com/journal/11036

List of Papers (Total 361)

High-Precision Matching Algorithm for Multi-Image Segmentation of Micro Animation Videos in Mobile Network Environment

In the mobile network environment, the accuracy of related image matching algorithms is affected by factors such as bandwidth uncertainty and channel interference, resulting in significant limitations in image feature matching. This article designs a high-precision matching algorithm for multi-image segmentation of micro animation videos in mobile network environments. Fully...

The Building Information Modelling Through Information Technology and Impacts on Selected Circular Economy Performance Indicators of Construction Projects

The building information modeling represents the management of construction projects based on relevant information and work with them. In the era of digitization, it represents a space for modeling information about constructions to implement and increase the digital level in the construction industry as well. One of the goals of implementing new technologies is to improve...

The Study of RFID Technology and Laser Telemetry to Locate Products in Space

The idea of Industry 4.0 is a stage of revolution in terms of new solutions and advanced technology, as well as artificial intelligence. Micro and macroeconomic factors generate the need to modify logistics and production processes in enterprises. One of the changes is the organization of warehouse management. The aim of the article is to indicate the possibility of using RFID...

Improvement of Emission Monitoring System Accuracy in Aims of Increasing Air Quality of Smart City

Environmental pollution and air quality are increasingly important topics within the areas of Smart City and state regulations. The aim of the article is to present the progress in the design of the emission monitoring system intended for use in non-industry heating appliances in households. The article analyses potential opportunities in aims of improving the design of a...

Research on Hybrid Data Clustering Algorithm for Wireless Communication Intelligent Bracelets

Wireless communication smart bracelet data include motion data, sleep time data, heart rate and blood pressure data and positioning data, etc. These data have diversity and high complexity, and there are interconnections or interactions between the data, which have high clustering difficulty. To this end, a new data clustering algorithm is studied for wireless communication smart...

Contact Tracing App Privacy: What Data is Shared by Non-GAEN Contact Tracing Apps

We describe the data transmitted to backend servers by the contact tracing apps now deployed in France (TousAntiCovid), Australia (CovidSafe), Singapore (TraceTogether), US/Florida (CombatCovid), Israel (HaMagen), India (Aarogya Setu) with the aim of evaluating the privacy of these contact tracing apps as actually deployed. To the best of our knowledge, the measurements we...

Detail Feature Inpainting of Art Images in Online Educational Videos based on Double Discrimination Network

In order to improve the image detail restoration effect of online education videos and improve the quality of online education images, a method for image detail restoration of online education videos based on dual discriminant networks is proposed. Utilize the grayscale changes in the selected spatial domain to enhance the detailed features of the original video art image, and...

A new framework for Physical Layer Security in HetNets based on Radio Resource Allocation and Reinforcement Learning

Densification of networks through heterogeneous cells deployment is considered a key technology to satisfy the huge traffic growth in future wireless systems. In addition to achieving the required communication capacity and efficiency, another significant challenge arises from the broadcast nature of wireless channels: vulnerability to wiretapping. Physical-layer security is...

LCCNN: a Lightweight Customized CNN-Based Distance Education App for COVID-19 Recognition

In the global epidemic, distance learning occupies an increasingly important place in teaching and learning because of its great potential. This paper proposes a web-based app that includes a proposed 8-layered lightweight, customized convolutional neural network (LCCNN) for COVID-19 recognition. Five-channel data augmentation is proposed and used to help the model avoid...

APKOWL: An Automatic Approach to Enhance the Malware Detection

Malicious software (malware) can steal passwords, leak details, and generally cause havoc with users’ accounts. Most of the current malware detection techniques are designed to detect malware at the code level of the software, where it is actually infected and causes damage. Additionally, current malware detection techniques at the design level are done manually or semi...

FECNet: a Neural Network and a Mobile App for COVID-19 Recognition

COVID-19 has caused over 6.35 million deaths and over 555 million confirmed cases till 11/July/2022. It has caused a serious impact on individual health, social and economic activities, and other aspects. Based on the gray-level co-occurrence matrix (GLCM), a four-direction varying-distance GLCM (FDVD-GLCM) is presented. Afterward, a five-property feature set (FPFS) extracts...

Differentially Private Recurrent Variational Autoencoder For Text Privacy Preservation

Deep learning techniques have been widely used in natural language processing (NLP) tasks and have made remarkable progress. However, training the deep learning model relies on a large amount of data which may involve sensitive information like electronic medical records. The attacker can infer sensitive information from the model, which leads to privacy leakage. To solve this...

Modern Mobile Infrastructure in Transport and Forwarding

Transport is one of the main branches of the economy and the costs associated with transport affect the prices of various goods and services to a large extent. Companies are constantly striving to optimize costs related to transport. Today they are largely dependent on fuel prices, but also on labor costs. Innovations in the field of transport solutions will be a response to...

Power-Aware Fog Supported IoT Network for Healthcare Infrastructure Using Swarm Intelligence-Based Algorithms

Healthcare services become increasingly technology dependent every passing day such as the Internet of Things (IoT), Fog Computing, 5th generation (5G) and beyond communications, etc. They enable the processing and exchange of huge volumes of healthcare data whose integrity and real-time delivery are critical for healthcare services. Optimal power consumption in such essential...

Decentralizing Online Food Delivery Services: A Blockchain and IoT Model for Smart Cities

With the worldwide pandemic outbreak, the style of restaurant food consumption underwent a major shift towards online delivery services. This poses an urgent need in trust between main stakeholders of the process: requiring restaurants to correspond to the quality declared, providing high quality and safe to consume meals, and obliging delivery entities to deliver food carefully...

A Large-Scale IoT-Based Scheme for Real-Time Prediction of Infectious Disease Symptoms

In recent decades, many infectious diseases have appeared that have negatively affected life in general and people in particular, causing many economic and human losses. Recently, many attempts have emerged to confront these diseases using computer-based technology for diagnosis, prediction, and data analysis using various techniques, the most important of which is deep learning...