Location-Based Services for Surrounding Area with Myanmar Language on Mobile Devices

2017 ◽  
pp. 293-303
Author(s):  
Myat Thiri Khine ◽  
Myint Myint Sein
Keyword(s):  
Mobile Devices ◽  
Location Based Services ◽  
Surrounding Area

Mobile HCI

2014 ◽  
Vol 6 (1) ◽  
pp. 1-14 ◽  
Author(s):  
Robin Deegan
Keyword(s):  
Mobile Devices ◽  
Mobile Device ◽  
Location Based Services ◽  
Battery Life ◽  
Complex Environments ◽  
Processing Power ◽  
Communal Areas ◽  
And Performance ◽  
The Relationship ◽  
Mental Resources

Humans are approaching a new and intriguing time with regards to Mobile Human Computer Interaction. For years we have observed the processing power, memory capabilities and battery life of the mobile device increase exponentially. While at the same time mobile devices were converging with additional technologies such as increased connectivity, external peripherals, GPS and location based services etc. But what are the cognitive costs associated with these advancements? The software used on mobile devices is also becoming more sophisticated, demanding more from our limited mental resources. Furthermore, this complex software is being used in distracting environments such as in cars, busses, trains and noisy communal areas. These environments, themselves, have steadily become increasingly more complex and cognitively demanding. Increasingly complex software, installed on increasingly complex mobile devices, being used in increasing complex environments is presenting Mobile HCI with serious challenges. This paper presents a brief overview of five experiments before presenting a final experiment in detail. These experiments attempt to understand the relationship between cognition, distraction, usability and performance. The research determines that some distractions affect usability and not performance while others affect performance but not usability. This paper concludes with a reinforced argument for the development of a cognitive load aware system.

Mobile GIS - Challenges and Solutions

2011 ◽  
pp. 793-809
Author(s):  
Pramod Sharma ◽  
Devon Nugent
Keyword(s):  
Wireless Networks ◽  
Mobile Devices ◽  
Location Based Services ◽  
Specific Information ◽  
Positioning Accuracy ◽  
Mobile Gis ◽  
Gis Applications ◽  
Potential Market ◽  
Small Screen Devices ◽  
Small Screen

This chapter focuses on Mobile GIS (MGIS), which uses wireless networks and small screen mobile devices (such as PDAs and smartphones) to collect or deliver real time, location specific information and services. Such services can be divided into field and consumer (location based services) GIS applications. The use of wireless networks and small screen devices, introduce a series of challenges, not faced by desktop or wired internet GIS applications. This chapter discusses the challenges faced by mobile GIS (e.g. small screen, bandwidth, positioning accuracy, interoperability, etc.) and the various means of overcoming these problems, including the rapid advances in relevant technologies. Despite the challenges, many efficient and effective Mobile GIS applications have been developed, offering a glimpse of the potential market.

scholarly journals An Algorithm for Accurate and Robust Indoor Localization Based on Nonlinear Programming

Electronics ◽  
2020 ◽  
Vol 9 (1) ◽  
pp. 65 ◽  
Author(s):  
Stefania Monica ◽  
Federico Bergenti
Keyword(s):  
Nonlinear Programming ◽  
Mobile Devices ◽  
Optimization Problem ◽  
Indoor Localization ◽  
Wide Band ◽  
Location Based Services ◽  
Experimental Results ◽  
Indoor Environments ◽  
Anchor Nodes ◽  
The Impact

The study of techniques to estimate the position of mobile devices with a high level of accuracy and robustness is essential to provide advanced location based services in indoor environments. An algorithm to enable mobile devices to estimate their positions in known indoor environments is proposed in this paper under the assumption that fixed anchor nodes are available at known locations. The proposed algorithm is specifically designed to be executed on the mobile device whose position is under investigation, and it allows the device to estimate its position within the environment by actively measuring distance estimates from the anchor nodes. In order to reduce the impact of the errors caused by the arrangement of the anchor nodes in the environment, the proposed algorithm first transforms the localization problem into an optimization problem, and then, it solves the derived optimization problem using techniques inspired by nonlinear programming. Experimental results obtained using ultra-wide band signaling are presented to assess the performance of the algorithm and to compare it with reference alternatives. The presented experimental results confirm that the proposed algorithm provides an increased level of accuracy and robustness with respect to two reference alternatives, regardless of the position of the anchor nodes.

Study on Location Based Services Driven Mobile E-Commerce System

2013 ◽  
Vol 734-737 ◽  
pp. 3214-3219
Author(s):  
Hai Dong Zhong ◽  
Ping Li ◽  
Shao Zhong Zhang ◽  
Wen Ting Yuan ◽  
Xu Dong Zhao ◽  
...  
Keyword(s):  
Mobile Devices ◽  
Mobile Device ◽  
Location Based Services ◽  
Prototype System ◽  
Security Risks ◽  
Privacy And Security ◽  
Positioning Accuracy ◽  
Business Markets ◽  
Key Issues ◽  
Novel Concept

With the tremendous advances in mobile computing and communication capabilities, rapid proliferation of mobile devices, increasing powerful functions, and decreasing device costs, we are seeing a explosively growth in mobile e-commerce in various consumer and business markets. On the basis of analyzing demands of both buyers and seller in mobile e-commerce, the paper put forward a novel concept and technological framework of Location Based Services (LBS) driven mobile e-commerce. Some LBS related functions, in mobile device terminal, of the prototype system based on the architecture put forward are implemented. Also, some key issues of LBS based mobile e-commerce, such as positioning accuracy and new privacy and security risks, are discussed in detail.

scholarly journals INVESTIGATION OF GIS BASED MOBILE ROUTE PLANNING – NAVIGATION APPLICATIONS FOR TOURISM ACTIVITIES

2021 ◽  
Vol XLVI-4/W5-2021 ◽  
pp. 321-326
Author(s):  
Y. K. Karaş ◽  
L. Atay ◽  
H. K. Sevinç ◽  
A. Duru
Keyword(s):  
Information Systems ◽  
Geographic Information Systems ◽  
Mobile Devices ◽  
Mobile Applications ◽  
Route Planning ◽  
Geographic Information ◽  
Location Based Services ◽  
Tourism Sector ◽  
Food And Beverage ◽  
Tourist Guides

Abstract. Mobile devices can be used in many areas such as shopping, entertainment and education. The number of mobile applications which provides information about a city or region, helps to find route by navigation and makes accommodation plans with food and beverage suggestions, is also increasing. Since these devices are portable and have access to internet, they emerges as a new and important potential for tourism sector. In particular, the increase in the use of route planning and navigation applications, which are location based services within the scope of Geographic Information Systems, has also affected the tourism sector. Which route planning and navigation applications are used extensively by tour operators, tourist guides and individual visitors ? What are the strengths and weaknesses about these applications? Answers to such questions were sought in this study.

Latest Trends in Mobile Business

2009 ◽  
pp. 829-834
Author(s):  
Sumeet Gupta
Keyword(s):  
Wireless Networks ◽  
Mobile Devices ◽  
Mobile Commerce ◽  
Location Based Services ◽  
Handheld Devices ◽  
Personal Digital Assistants ◽  
Mobile Business ◽  
Mobile Gaming ◽  
Advantages And Disadvantages ◽  
Recent Emergence

Since the 1990s, a surge in the popularity and usage of e-commerce has led to the recent emergence of conducting business transactions using handheld mobile devices connected by wireless networks (Andrew, Valacich, & Jessup, 2003). Known as mobile commerce, m-commerce allows for anytime and anywhere commercial transactions. M-commerce is an upcoming technology whereby commercial transactions are made through handheld devices, such as mobile phones and personal digital assistants (PDA), which are connected by wireless networks. The ability to conduct business anytime and anywhere through mobile commerce will remove the space and time constraints on an individual for conducting business. Different kinds of services have since emerged for conducting m-commerce, such as location-based services (LBS) (e.g., mobile advertising), pervasive computing, and mobile gaming. These services allow for conducting not only commerce but also business activities using mobile devices. Mobile business (mbusiness) allows for mainly two kinds of services, namely, push-based and pull-based. Push-based services are initiated by the vendor while pull-based services are initiated by the customer. We will discuss these services in m-business together with their advantages and disadvantages.

What the Smartphone Has Changed

Tap ◽  
2017 ◽  
Author(s):  
Anindya Ghose
Keyword(s):  
Consumer Behavior ◽  
Social Networking ◽  
Mobile Devices ◽  
Social Networking Site ◽  
Location Based Services ◽  
Internet Shopping ◽  
Brick And Mortar ◽  
The Impact ◽  
The Way

This chapter discusses the impact of smartphones on consumer behavior. The proliferation of smartphones has changed the way people create and consume any kind of content. Whether streaming music on Apple Music or Spotify, uploading pictures and videos on a social networking site such as Snapchat or Instagram, or writing a review on Amazon, we now have the ability to create or consume content in a frictionless manner. During the early days of internet shopping, consumers used to browse online but make the actual purchase offline. Today, thanks to mobile devices, many consumers often browse in a brick-and-mortar shop and then complete the transaction online on their devices. Perhaps one of the biggest changes has been in mobile how businesses interact with their audiences. For instance, location-based services have enabled advertisers to alter content depending on what part of a city or even which block of a city the consumer is in.

scholarly journals Robust Modeling of Low-Cost MEMS Sensor Errors in Mobile Devices Using Fast Orthogonal Search

2013 ◽  
Vol 2013 ◽  
pp. 1-8 ◽  
Author(s):  
M. Tamazin ◽  
A. Noureldin ◽  
M. J. Korenberg
Keyword(s):  
Markov Model ◽  
Mobile Devices ◽  
Inertial Sensor ◽  
Low Cost ◽  
Location Based Services ◽  
Robust Modeling ◽  
First Order ◽  
Orthogonal Search ◽  
Fast Orthogonal Search ◽  
Sensor Errors

Accessibility to inertial navigation systems (INS) has been severely limited by cost in the past. The introduction of low-cost microelectromechanical system-based INS to be integrated with GPS in order to provide a reliable positioning solution has provided more wide spread use in mobile devices. The random errors of the MEMS inertial sensors may deteriorate the overall system accuracy in mobile devices. These errors are modeled stochastically and are included in the error model of the estimated techniques used such as Kalman filter or Particle filter. First-order Gauss-Markov model is usually used to describe the stochastic nature of these errors. However, if the autocorrelation sequences of these random components are examined, it can be determined that first-order Gauss-Markov model is not adequate to describe such stochastic behavior. A robust modeling technique based on fast orthogonal search is introduced to remove MEMS-based inertial sensor errors inside mobile devices that are used for several location-based services. The proposed method is applied to MEMS-based gyroscopes and accelerometers. Results show that the proposed method models low-cost MEMS sensors errors with no need for denoising techniques and using smaller model order and less computation, outperforming traditional methods by two orders of magnitude.

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