JournalTOCs

International Journal of Mobile Computing and Multimedia Communications
Journal Prestige (SJR): 0.133

Number of Followers: 2

Full-text available via subscription

Subscription journal
ISSN (Print) 1937-9412 - ISSN (Online) 1937-9404
Published by IGI Global

[146 journals]

Biometric Authentication Methods on Mobile Platforms
- Free pre-print version: Loading...
  Rate this result: What is this?
  
  Please help us test our new pre-print finding feature by giving the pre-print link a rating.
  A 5 star rating indicates the linked pre-print has the exact same content as the published article.
  
  Authors: Edoh; Agnitè Maxim Wilfrid Straiker, Djara, Tahirou, Tahirou, Abdou-Aziz Sobabe Ali, Vianou, Antoine
  Pages: 1 - 16
  Abstract: In this work, the authors propose a new biometric authentication system on mobile devices, enhancing security at these terminals and preserving user privacy. The proposed system uses a method of extracting strong features from minutiae with refinement of the method with regard to the further elimination of false minutiae by the calculation of geometric information (orientations and distances between minutiae) to obtain true terminations and stronger bifurcations facilitating the recognition of individuals. A series of tests carried out using a recognition and authentication application allowed us to achieve a false rejection rate of 13.81% and a false acceptance rate of almost zero (0.021%). The authors also propose a security model using hash functions and a random number to make the recognition system revocable, more difficult to compromise and thus reducing the risk of usurpation.
  Keywords: Mobile and Wireless Computing; Media & Communications; Mobile Computing
  Citation: International Journal of Mobile Computing and Multimedia Communications (IJMCMC), Volume: 14, Issue: 1 (2023) Pages: 1-16
  PubDate: 2023-01-01T05:00:00Z
  DOI: 10.4018/IJMCMC.334130
  Issue No: Vol. 14, No. 1 (2023)
Using Eye Tracking to Measure Overall Usability of Online Grocery Shopping
Websites
- Free pre-print version: Loading...
  Rate this result: What is this?
  
  Please help us test our new pre-print finding feature by giving the pre-print link a rating.
  A 5 star rating indicates the linked pre-print has the exact same content as the published article.
  
  Authors: Naeini; Ali Bonyadi, Mahdipour, Ali Golbazi, Dorri, Rasam
  Pages: 1 - 24
  Abstract: This article examines usability evaluation methodologies, then presents a non-conscious behavioral indicator based on user eye movements and pupil dilation. The authors test how gender and online buying history affect the behavioral index's usability scores. This study uses three Iranian online food retailers. Thirty participants were asked to add things from predetermined grocery stores to virtual shopping carts before the experiment took them to the other two websites in a random order to collect eye movement data. Each group's presentation order was randomized. The number of fixations, number of saccades, total duration of fixations, scan-path length, pupil size, and task time were inversely linked with self-report usability measures. This research evaluates groups with different levels of online shopping expertise and gender based on experienced usability. Differences between groups suggest that user demographics affect usability.
  Keywords: Mobile and Wireless Computing; Media & Communications; Mobile Computing
  Citation: International Journal of Mobile Computing and Multimedia Communications (IJMCMC), Volume: 14, Issue: 1 (2023) Pages: 1-24
  PubDate: 2023-01-01T05:00:00Z
  DOI: 10.4018/IJMCMC.326129
  Issue No: Vol. 14, No. 1 (2023)
Deep Learning-Based Machine Color Emotion Generation
- Free pre-print version: Loading...
  Rate this result: What is this?
  
  Please help us test our new pre-print finding feature by giving the pre-print link a rating.
  A 5 star rating indicates the linked pre-print has the exact same content as the published article.
  
  Authors: Nie; Tongyao, Lv, Xinguang
  Pages: 1 - 14
  Abstract: This paper investigates generating machine color emotion through deep learning. The grayscale image colorization model's training process resembles human memory color. Sixty images were recolored and quality evaluated to explore machine generated color impressions. Six experimental samples were recolored under D65, A, CWF, and TL84 light sources. Changes in lightness, chroma, and hue angle compared the original and colorized images, exploring light source effects on machine color perception. Analyzing differences in coloring results within the CIEL* a* b* color space for pixels with equal grayscale verified machine color emotion generation. Results show the machine learns to form color impressions from samples. Different light source color temperatures impact color prediction accuracy. The machine accurately colors images based on semantic context, demonstrating spontaneous color emotion generation through deep learning. This research positively contributes to the development of intelligent devices with color emotion.
  Keywords: Mobile and Wireless Computing; Media & Communications; Mobile Computing
  Citation: International Journal of Mobile Computing and Multimedia Communications (IJMCMC), Volume: 14, Issue: 1 (2023) Pages: 1-14
  PubDate: 2023-01-01T05:00:00Z
  DOI: 10.4018/IJMCMC.325349
  Issue No: Vol. 14, No. 1 (2023)
Epsilon-Greedy-Based MQTT QoS Mode Selection and Power Control Algorithm
for Power Distribution IoT
- Free pre-print version: Loading...
  Rate this result: What is this?
  
  Please help us test our new pre-print finding feature by giving the pre-print link a rating.
  A 5 star rating indicates the linked pre-print has the exact same content as the published article.
  
  Authors: You; Xinhong, Zhang, Pengping, Liu, Minglin, Lin, Lingqi, Li, Shuai
  Pages: 1 - 18
  Abstract: Employing message queuing telemetry transport (MQTT) in the power distribution internet of things (PD-IoT) can meet the demands of reliable data transmission while significantly reducing energy consumption through the dynamic and flexible selection of three different quality of service (QoS) modes and power control. However, there are still some challenges, including incomplete information, coupling of optimization variables, and dynamic tradeoff between packet-loss ratio and energy consumption. In this paper, the authors propose a joint optimization algorithm named EMMA for MQTT QoS mode selection and power control based on the epsilon-greedy algorithm. Firstly, the joint optimization problem of MQTT QoS mode selection and power control is modeled as a multi-armed bandit (MAB) problem. Secondly, the authors leverage the online learning capability of the epsilon-greedy algorithm to achieve joint optimization of MQTT QoS mode selection and power control. Finally, they verify the superior performance of the proposed algorithm through simulations.
  Keywords: Mobile and Wireless Computing; Media & Communications; Mobile Computing
  Citation: International Journal of Mobile Computing and Multimedia Communications (IJMCMC), Volume: 14, Issue: 1 (2023) Pages: 1-18
  PubDate: 2023-01-01T05:00:00Z
  DOI: 10.4018/IJMCMC.306976
  Issue No: Vol. 14, No. 1 (2023)
Multi-Agent Reinforcement Learning-Based Resource Management for V2X
Communication
- Free pre-print version: Loading...
  Rate this result: What is this?
  
  Please help us test our new pre-print finding feature by giving the pre-print link a rating.
  A 5 star rating indicates the linked pre-print has the exact same content as the published article.
  
  Authors: Zhao; Nan, Wang, Jiaye, Jin, Bo, Wang, Ru, Wu, Minghu, Liu, Yu, Zheng, Lufeng
  Pages: 1 - 17
  Abstract: Cellular vehicle-to-everything (V2X) communication is essential to support future diverse vehicular applications. However, due to the dynamic characteristics of vehicles, resource management faces huge challenges in V2X communication. In this paper, the optimization problem of the comprehensive efficiency for V2X communication network is established. Considering the non-convexity of the optimization problem, this paper ulitizes the markov decision process (MDP) to solve the optimization problem. The MDP is formulated with the design of state, action, and reward function for vehicle-to-vehicle links. Then, a multiagent deep Q network (MADQN) method is proposed to improve the comprehensive efficiency of V2X communication network. Simulation results show that the MADQN method outperforms other methods on performance with the higher comprehensive efficiency of V2X communication network.
  Keywords: Mobile and Wireless Computing; Media & Communications; Mobile Computing
  Citation: International Journal of Mobile Computing and Multimedia Communications (IJMCMC), Volume: 14, Issue: 1 (2023) Pages: 1-17
  PubDate: 2023-01-01T05:00:00Z
  DOI: 10.4018/IJMCMC.320190
  Issue No: Vol. 14, No. 1 (2023)