Development of an MIPI (Mobile Industry Processor Interface) interface camera driver based on WINCE (Windows Embedded Compact)

2015 ◽  
pp. 131-134
Author(s):  
K Xiao ◽  
L Shan ◽  
Z Li
Keyword(s):  
Mobile Industry ◽  
Camera Driver

The Effect of Service Quality on Customers' Satisfaction in Mobile Phone Services in the UAE

2020 ◽  
Vol 8 (1) ◽  
pp. 75-94
Author(s):  
Emad Yusuf Masoud
Keyword(s):  
Customer Satisfaction ◽  
Service Quality ◽  
Mobile Phone ◽  
Service Providers ◽  
Mobile Service ◽  
Behavioural Difference ◽  
Mobile Industry ◽  
Quality Dimensions ◽  
Service Quality Dimensions ◽  
Network Quality

This study aims to determine the dimensions of mobile service quality and to examine their effect on customer satisfaction in UAE mobile phone service providers while also investigating the behavioural differences between mobile phone customers with prepaid and postpaid subscriptions. A combination of the SERVPERF model has been adopted as the main framework for analyzing service quality. A structured questionnaire instrument was designed for data collection. The present study concentrates on the level of customers’ satisfaction for leading service providers in the UAE mobile industry. Etisalat and Du were chosen for this study. A sample of (452) mobile phone users in Abu Dhabi city was selected at random using convenience-sampling. We found a positive effect of both functional and technical service quality (network quality) on customers’ satisfaction. Functional and technical dimensions were good predictors of customer satisfaction and confirmed the multidimensional nature of service quality. Also, the service quality dimensions; reliability, assurances, and responsiveness are found to be significant predictors of customer satisfaction. Behavioural difference between mobile phone customers is also significant in predicting customer satisfaction for postpaid subscribers. However, only reliability and network quality are significant predictors of customer satisfaction for prepaid subscribers. The model developed in this study provides marketers and researchers with a diagnostic tool to assess service quality from the perspectives of customers to meet the customer’s expectations and ensure customer satisfaction.

Interaction, engagement, and perceived interactivity in single-handed interaction

2016 ◽  
Vol 26 (5) ◽  
pp. 1134-1157 ◽  
Author(s):  
Donghee Shin ◽  
Myunggoon Choi ◽  
Jang Hyun Kim ◽  
Jae-gil Lee
Keyword(s):  
Behavioral Intention ◽  
Interaction Techniques ◽  
Content Type ◽  
Thumb Movement ◽  
Wide Range ◽  
Mobile Industry ◽  
Perceived Interactivity ◽  
The Subject ◽  
Definition Of ◽  
Practical Implications

Purpose The purpose of this paper is to examine the effects of interaction techniques (e.g. swiping and tapping) and the range of thumb movement on interactivity, engagement, attitude, and behavioral intention in single-handed interaction with smartphones. Design/methodology/approach A 2×2 between-participant experiment (technological features: swiping and tapping×range of thumb movement: wide and narrow) was conducted to study the effects of interaction techniques and thumb movement ranges. Findings The results showed that the range of thumb movement had significant effects on perceived interactivity, engagement, attitude, and behavioral intention, whereas no effects were observed for interaction techniques. A narrow range of thumb movement had more influence on the interactivity outcomes in comparison to a wide range of thumb movement. Practical implications While the subject of actual and perceived interactivity has been discussed, the issue has not been applied to smartphone. Based on the research results, the mobile industry may come up with a design strategy that balances feature- and perception-based interactivity. Originality/value This study adopted the perspective of the hybrid definition of interactivity, which includes both actual and perceived interactivity. Interactivity effect outcomes mediated by perceived interactivity.

The Analysis of the Transmission Signal Measured MIPI D-PHY

2014 ◽  
Vol 986-987 ◽  
pp. 2078-2081
Author(s):  
Wei Wei ◽  
Fei Teng Zhang
Keyword(s):  
High Speed ◽  
Physical Layer ◽  
Test Point ◽  
Point Selection ◽  
Test Analysis ◽  
Serial Interface ◽  
Test Items ◽  
Test Point Selection ◽  
Mobile Industry ◽  
Speed Mode

Analysis the characteristics of the measured transmission signal of Mobile Industry Processor Interface (MIPI) Display Serial Interface Physical Layer (D-PHY) interface based on a project platform. Firstly, introduces the transmission characteristics and mutual conversion process of physical layer about high-speed and low power mode, and by the transmission signal measured a platform of high-speed mode, present the D-PHY transmission signal each test items and test point selection, make the phone run smoothly and screen display normally, this test analysis certain practicability and expansibility.

Predicting customer churn in mobile industry using data mining technology

2017 ◽  
Vol 117 (1) ◽  
pp. 90-109 ◽  
Author(s):  
Eui-Bang Lee ◽  
Jinwha Kim ◽  
Sang-Gun Lee
Keyword(s):  
Data Mining ◽  
Decision Tree ◽  
Online News ◽  
Partial Least Square ◽  
Churn Prediction ◽  
Mining Technology ◽  
Content Type ◽  
Customer Churn ◽  
Mobile Industry ◽  
Using Data

Purpose The purpose of this paper is to identify the influence of the frequency of word exposure on online news based on the availability heuristic concept. So that this is different from most churn prediction studies that focus on subscriber data. Design/methodology/approach This study examined the churn prediction through words presented the previous studies and additionally identified words what churn generate using data mining technology in combination with logistic regression, decision tree graphing, neural network models, and a partial least square (PLS) model. Findings This study found prediction rates similar to those delivered by subscriber data-based analyses. In addition, because previous studies do not clearly suggest the effects of the factors, this study uses decision tree graphing and PLS modeling to identify which words deliver positive or negative influences. Originality/value These findings imply an expansion of churn prediction, advertising effect, and various psychological studies. It also proposes concrete ideas to advance the competitive advantage of companies, which not only helps corporate development, but also improves industry-wide efficiency.

scholarly journals Network Amelioration, AI Automation and Future Integration in Wireless Networks

2021 ◽  
Vol 9 (8) ◽  
pp. 2607-2613
Author(s):  
Marzook Khatri
Keyword(s):  
Artificial Intelligence ◽  
Communication Networks ◽  
Mobile Networks ◽  
Network Virtualization ◽  
Mobile Network ◽  
Data Access ◽  
Detailed Comparison ◽  
Mobile Industry ◽  
Generation Network ◽  
Network Operations

Abstract: The deployment of 5G mobile communication networks is just getting started right now. There are numerous technologies available today, each capable of fulfilling activities such as enabling voice traffic via voice over IP (VoIP), providing broadband data access in mobile environments, and so on. However, there is a pressing need to implement technology that can bring all of these systems together into a single unified system. Because it is all about smoothly integrating terminals, networks, and applications, 8G presents a solution to this dilemma. In this work, an attempt is made to provide a study of various cellular technologies, such as 4G, 5G, 6G, 7G, and FG, as well as a detailed comparison between them. With the introduction of network virtualization and the implementation of 5G/IoT, mobile networks will become more complicated and offer more diverse services. This raises concerns about a considerable increase in the workload of network operations. Meanwhile, artificial intelligence (AI) is advancing rapidly and is projected to alleviate human resource shortages in a variety of industries. Similarly, the mobile industry is gaining traction in the application of artificial intelligence (AI) to network operations in order to improve the efficiency of mobile network operations. This paper will address the idea of using AI technology to network operations and will give various use examples to demonstrate that AI-driven network operations have a bright future. Keywords: 5G & 6G networks, Artificial Intelligence, Next generation network, Future Advancement.

Mobile User Behaviors in China

2015 ◽  
pp. 1110-1128
Author(s):  
Minglong Lei ◽  
Weidong Liu ◽  
Yusong Gao ◽  
Tingshao Zhu
Keyword(s):  
Mobile Phones ◽  
User Behavior ◽  
Mobile User ◽  
User Behavior Analysis ◽  
Related Literature ◽  
User Behaviors ◽  
Analysis Process ◽  
Mobile Industry ◽  
The Mainland Of China ◽  
The Relationship

The development of the mobile industry makes it necessary for scholars to study mobile user behaviors in the mainland of China. This article is divided into three main parts after a brief introduction of the current Chinese mobile phone market. The first part is to demonstrate mobile use and its influencing factors in the mainland of China, and then to determine the mostly studied mobile usages among those articles. The second part pays attention to the effect brought by the use of mobile phones, and then checks the relationship between mobile addiction and other social behaviors. The last part is to illustrate the methods employed in the mobile user behavior analysis. After stating the analysis process of user behaviors, the authors attempted to summarize the main features extracted from data mining technology. Finally, the authors put forward some possible directions under the topic of mobile user behavior after careful review of the related literature.

Domestic vs. International E-Shopping

2019 ◽  
pp. 24-39
Author(s):  
Vaggelis Saprikis
Keyword(s):  
Social Networks ◽  
Information And Communication Technologies ◽  
Communication Technologies ◽  
Business Environment ◽  
The Internet ◽  
Internet Users ◽  
Mobile Industry ◽  
Information And Communication ◽  
Number Of Individuals ◽  
Shed Light

Contemporary commerce is completely different as regards features some years ago. Nowadays, a considerable number of individuals and firms take advantage of the information and communication technologies and conduct transactions online. In particular, the mobile industry along with the broad use of social networks and improvements in the internet bandwidth worldwide has created a completely different business environment. Consequently, the technology incited many consumers to cross-border e-shopping, allowing access to a wider variety of products and services, and in numerous circumstances, access to cheaper goods. The purpose of this chapter is to investigate the perceptions internet users have towards e-shops focusing on Greece. More precisely, it aims to find out whether there are contingent differences on customers' perceptions regarding domestic vs. international e-shops, since a gradually augmented number of people have been expressing their preference on non-domestic e-stores for their purchases. Additionally, the chapter intends to shed light on the difficulty in understanding vital aspects of e-consumer behaviour.

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