A2Cloud

2014 ◽  
pp. 231-261
Author(s):  
João Nuno Silva ◽  
Luís Veiga
Keyword(s):  
Power Consumption ◽  
Mobile Devices ◽  
Mobile Device ◽  
Storage Systems ◽  
Configuration File ◽  
Distributed Application ◽  
Resource Evaluation ◽  
Evaluation Mechanism ◽  
The One

This book chapter presents the integration of widely available technologies to bridge the gap between mobile devices and their computational rich surrounding environments. Taking as common glue Cloud Storage systems, new interaction between devices becomes more natural. The processing of files can be transparently executed on nearby computers, taking advantage of better hardware and saving mobile devices power. In this chapter, the authors present a novel resource evaluation mechanism, which allows a finer evaluation and more precise comparison of remote resources, leading to fewer wasted resources and better use of those resources. The use of remote resources can be performed by means of processing offloading, executing complete application on remote devices or by relocation of mobile classes. Both methods resort to the presented resource evaluation mechanism. Monolithic applications are transformed (with information from a configuration file) into distributed application, where some components execute on remote devices: nearby computers (to take advantage of existing human-computer interaction devices) or on the cloud (to speed processing). Processing offloading is accomplished by executing on nearby computers applications compatible with the one on the mobile device. This speeds that processing task (better CPU, better interaction devices), reducing the mobile device’s power consumption.

Present and Future of Mobile Commerce

2018 ◽  
pp. 1431-1447
Author(s):  
Barkha Narang ◽  
Jyoti Batra Arora
Keyword(s):  
Mobile Devices ◽  
Pervasive Computing ◽  
Mobile Device ◽  
Context Awareness ◽  
Mobile Commerce ◽  
The Other ◽  
Commercial Activity ◽  
Software Applications ◽  
Information Appliances ◽  
The One

Mobile Commerce is a term to describe any commercial activity on a mobile device, such as a mobile phone (iPhone, Android, Blackberry) or a tablet (iPad, Galaxy Tab, Surface). This includes all steps of the customer journey; reach, attract, choose, convert and retain. Hence mobile commerce is probably best described as shopping that takes advantage of unique properties of mobile devices. It is also called as m-commerce. Pervasive computing aims at availability and invisibility. On the one hand, pervasive computing can be defined as availability of software applications and information anywhere and anytime. On the other hand, pervasive computing also means that computers are hidden in numerous so-called information appliances that we use in our day-to-day lives Characteristics of pervasive computing applications have been identified as interaction transparency, context awareness, and automated capture of experiences.

Present and Future of Mobile Commerce

2016 ◽  
pp. 293-308 ◽  
Author(s):  
Barkha Narang ◽  
Jyoti Batra Arora
Keyword(s):  
Mobile Devices ◽  
Pervasive Computing ◽  
Mobile Device ◽  
Context Awareness ◽  
Mobile Commerce ◽  
The Other ◽  
Commercial Activity ◽  
Software Applications ◽  
Information Appliances ◽  
The One

Mobile Commerce is a term to describe any commercial activity on a mobile device, such as a mobile phone (iPhone, Android, Blackberry) or a tablet (iPad, Galaxy Tab, Surface). This includes all steps of the customer journey; reach, attract, choose, convert and retain. Hence mobile commerce is probably best described as shopping that takes advantage of unique properties of mobile devices. It is also called as m-commerce. Pervasive computing aims at availability and invisibility. On the one hand, pervasive computing can be defined as availability of software applications and information anywhere and anytime. On the other hand, pervasive computing also means that computers are hidden in numerous so-called information appliances that we use in our day-to-day lives Characteristics of pervasive computing applications have been identified as interaction transparency, context awareness, and automated capture of experiences.

MDO-LWIGT: An Mobile Device Oriented Lightweight Interactive Graphics Toolkit

2011 ◽  
Vol 268-270 ◽  
pp. 1745-1749
Author(s):  
Hong An Pan ◽  
Qing Yi Hua ◽  
Yan Shuo Chang ◽  
Xiao Dong Qi
Keyword(s):  
Mobile Devices ◽  
Mobile Device ◽  
The Other ◽  
Interactive Graphics ◽  
Dynamic Relationship ◽  
Application Model ◽  
The One

In the development of interactive graphics application on mobile devices, we are puzzled by two problems: The one is how to make graphics application adapt to the intrinsic limitations of mobile devices; The other one is how to rapidly and effectively build graphics application. This paper proposes a MDO-LWIGT(Mobile Device Oriented Lightweight Interactive Graphics Toolkit) to provide a graphics application model that can help developers rapidly build graphics application on mobile devices. The application based on such a model not only can be adaptive to the limitations of mobile devices but also can effectively represent and manage graphics objects, maitain the dynamic relationship between the application datas related to graphics objects.

A Novel Approach for Multi-Cloud Storage for Mobile Devices

2018 ◽  
Vol 13 (2) ◽  
pp. 24-36 ◽  
Author(s):  
Rajeev Kumar Bedi ◽  
Jaswinder Singh ◽  
Sunil Kumar Gupta
Keyword(s):  
Mobile Devices ◽  
Mobile Device ◽  
Cloud Storage ◽  
Storage Systems ◽  
Resource Limitation ◽  
Data Usage ◽  
Novel Approach ◽  
Cpu Usage ◽  
Battery Consumption ◽  
Multi Cloud

Regardless of high embracing rate among users, Multi Cloud Storage Systems for mobile devices still have many limitations. From recent studies, it is clear that multi cloud storage systems work well for desktop PCs where there is no resource limitation but when accessed on mobile devices, these systems consumed a lot of resources of the mobile device. In this article, the authors reviewed three multi cloud storage systems for mobile devices ES File Explorer, Mult Cloud, Otixo and evaluate their performance on the basis of parameters Battery Consumption, CPU Usage, and Data Usage on Jio-Fi network using two mobile devices Micromax Canvas E352 and Redmi Note 4. Then, the authors propose an approach for multi cloud storage for mobile devices that will remove the limitations of previously discussed systems.

Optimizing power consumption of mobile devices for video streaming over 4G LTE networks

2017 ◽  
Vol 11 (5) ◽  
pp. 1101-1114 ◽  
Author(s):  
Jingyu Zhang ◽  
Zhi-Jie Wang ◽  
Zhe Quan ◽  
Jian Yin ◽  
Yuanyi Chen ◽  
...  
Keyword(s):  
Power Consumption ◽  
Mobile Devices ◽  
Video Streaming ◽  
Lte Networks ◽  
4G Lte ◽  
4G Lte Networks

Stream Selector’s Control System Based on High-Precision Incremental Encoder

2013 ◽  
Vol 303-306 ◽  
pp. 1657-1660
Author(s):  
Zhi Guang Zhang ◽  
Wei Hu ◽  
Xiao Qiong Li ◽  
Xue Fei Lv ◽  
Min Ping Zhang ◽  
...  
Keyword(s):  
Control System ◽  
Power Consumption ◽  
High Precision ◽  
Position Control ◽  
High Reliability ◽  
Dc Motor ◽  
Step Motor ◽  
Low Power Consumption ◽  
Incremental Encoder ◽  
The One

For the precision rotor position control of stream selector, a control system based on direct current motor (DC motor) has been constructed. The DC motor, with a high-precision incremental encoder used as the driving force, was assembled with the stream selector rotor through a shaft coupling. Following the motor rotation, the encoder generated two-channel quadrature pulses and one channel index pulses. An ultralow-power consumption microcontroller (msp430f2232) received theses pulses and calculated them. The position of the slot was determined by the number of pulses counted from the index pulse. Operator can set and monitored the slot positions of five stream selectors simultaneously through the program which was written with LabVIEW on the host computer. This module featured high reliability and low power consumption compared with the one driven by step motor. Beyond that, it was much smaller and lighter.

scholarly journals The Influence of the Frequency of the Internet Use on the Behavioral Relationship Model of the Mobile Device-Based Shopping

2016 ◽  
Vol 11 (6) ◽  
pp. 32 ◽  
Author(s):  
Shwu-Ing Wu ◽  
Rou Jyun Chen
Keyword(s):  
Mobile Devices ◽  
Mobile Device ◽  
Internet Use ◽  
Information Quality ◽  
Positive Influence ◽  
The Other ◽  
The Internet ◽  
Relationship Model ◽  
Significant Positive Influence

<p class="ArticleTitle">In recent years, the increasingly innovative and diverse mobile devices have significantly promoted the mobile device-based shopping. What factors influence this kind of shopping? Will consumers purchase things with mobile devices? These are two topics that need to be explored. Through the literature analysis and the empirical research, this study aims to analyze the quality of information, system, service and mobile devices on the mobile device-based shopping platform. Moreover, it studies the attitude of consumers towards mobile device-based shopping, their willingness to adopt the shopping method and the behavioral relationship model in the actual mobile device-based shopping as well as compares the groups of different frequencies of the Internet use in terms of the relationship model.</p>　　With the convenient sampling, this study made an investigation among some of those who had experienced shopping on such mobile devices as tablets or smart phones. The 765 retrieved valid copies of questionnaire were divided into three groups—“often”, “average” and “seldom” according to the frequency consumers undertook mobile device-based shopping and were then compared. The results showed that there were significant differences among the three groups in four relationship paths, including: 1) the information quality of the mobile device-based shopping platform has more significant positive influence on consumers’ attitude path of mobile device-based shopping in the “average” group than in the other two; 2) the service quality of the mobile device-based shopping platform has more significant positive influence on consumers’ attitude path of mobile device-based shopping in the “seldom” group than in the other two; 3) the preference for mobile device-based shopping has much significant positive influence on the behavior path of mobile device-based shopping in the “often” group. According to the research results, different groups have different behavior models. These results can serve as reference information in the decision-making of those who establish mobile device-based shopping platforms and manufacture mobile devices.

scholarly journals Trojan horses in mobile devices

2010 ◽  
Vol 7 (4) ◽  
pp. 813-822 ◽  
Author(s):  
Daniel Fuentes ◽  
Juan Álvarez ◽  
Juan Ortega ◽  
Luis Gonzalez-Abril ◽  
Francisco Velasco
Keyword(s):  
Mobile Devices ◽  
Mobile Device ◽  
Trojan Horse ◽  
Malicious Software ◽  
Loss Of Information ◽  
Malicious User ◽  
Communication Links

This paper focuses on the behavior of Trojan horses in mobile devices. This malicious software tries to steal information from a mobile device while the user is unaware. We describe the communication links through a Trojan horse installed into a mobile device. To demonstrate the effects of a Trojan horse infection we present a practical example on a PDA. Via SMS, the malicious user can access a user?s contacts information through the previous installation of the Trojan horse. The results show that this process means a loss of information and a quantified cost to the attacked user too. This paper proposes different solutions to avoid this malware and its effects.

scholarly journals Thermal management of mobile devices

2010 ◽  
Vol 14 (1) ◽  
pp. 115-124 ◽  
Author(s):  
Weijan Shen ◽  
Fock-Lai Tan
Keyword(s):  
Experimental Study ◽  
Phase Change ◽  
Phase Change Material ◽  
Mobile Devices ◽  
Thermal Management ◽  
Thermal Performance ◽  
Mobile Device ◽  
Phone Calls ◽  
Long Duration ◽  
Change Material

This paper presents the experimental study of using phase change material in the cooling of the mobile devices. It investigates the thermal performance of transient charging and discharging of mobile devices in three different situations; making phone calls frequently, making long duration calls, and making occasional calls. The results show that mobile devices are heated up fastest during the long duration usage. Experiments are also conducted to determine the effect of fins and effect of orientation of the mobile device on its thermal performance.

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