scholarly journals Mobile Positioning Techniques and Systems: A Comprehensive Review

2020 ◽  
Vol 2020 ◽  
pp. 1-18 ◽  
Author(s):  
Arvind Ramtohul ◽  
Kavi Kumar Khedo

The recent developments in mobile positioning technologies and the increasing demands of ubiquitous computing have significantly contributed to sophisticated positioning applications and services. Position information represents a core element in the human-centred activities, assisting in visualising complex environments effectively and providing a representational coordinate for localisation, tracking, and navigation purposes. The emergence of smartphones has accelerated the development of cutting-edge positioning-based systems since they are contained to have more processing, memory, and battery power. Similarly, mobile devices are now equipped with new sensory capabilities, wireless communications, and localisation technologies. This has quadrupled towards new advances on positioning techniques, enhancing the existing ones and brought more value to positioning-based systems. Research studies in positioning techniques have progressed in different directions, and no work has categorised and assessed the various advancements in this area. Accuracy and precision are the two challenging aspects that are crucial to the proper functioning of a positioning system. In practice, there is not a single positioning technique that could be appropriate for different situations. Most of the survey papers have focussed on carrying out their review on conventional positioning techniques. The common positioning technique uses simple technologies and is applied to a single type of environment. Hybrid techniques are the next generation of positioning technique that is supporting the real and com plex environment. This paper presents a comprehensive review on the mobile positioning techniques and systems. A total of 21 positioning systems published between the years 2012 and 2018 in the top 5 most popular indexed databases are reviewed. The positioning techniques are identified and streamlined through a methodical process, and the selected ones are reviewed using derived parameters. This paper provides a significant review of the current state of the mobile positioning techniques and outlines the research issues that require more investigation.

1994 ◽  
Vol 19 (1) ◽  
pp. 15-32 ◽  
Author(s):  
Samir K Barua ◽  
V Raghunathan ◽  
Jayanth R Varma

The Indian capital market has been attracting considerable attention in recent years especially after the opening up of the Indian economy. As a result, several researchers have addressed various issues pertaining to the capital market in India. What has been the trend of research in this field over the last 15 years? This article by Barua, Raghunathan, and Varma examines this issue and provides a comprehensive review on the nature of research in the field of capital market in India. In the process, it also identifies research gaps and research issues that need attention from researchers.


Trust is a crucial factor in personal as well as online exchanges due to their impersonal nature. In the information systems discipline, past research proposed and tested interpersonal trust formation as well as continuance in several contexts. Extending beyond interpersonal relationships, trust has been extrapolated as technology trust and applied to various technology contexts such as recommendation agents, inanimate software and objects. This paper presents a comprehensive review of interpersonal and technology trust constructs as applicable to ecommerce and technology contexts. Based on findings from past research this paper synthesizes research on interpersonal trust, trustworthiness and trust modes, and proposes a combined model of trust constructs. Based on the literature review and results from past research, this paper identifies an important gap in literature and proposes bases of technology trust constructs as an important contribution to literature. The theoretical and managerial implications are presented.


Author(s):  
Farooq Alam ◽  
Zahooruddin ◽  
Ayaz Ahmad ◽  
Muhammad Iqbal

In this chapter, the authors provide a comprehensive review of spectrum sensing in cognitive radio sensor networks. Firstly, they focus on general techniques utilized for spectrum sensing in wireless sensor networks. To have good understanding of core issues of spectrum sensing, the authors then give a brief description of cognitive radio networks. Then they give a thorough description of the main techniques that can be helpful in doing spectrum sensing in cognitive radio sensor network. The authors conclude this chapter with open research issues and challenges that need to be addressed to provide efficient spectrum sensing in order to minimize the limitations in cognitive radio sensor networks.


Author(s):  
Ahmed Shawish ◽  
Maria Salama

Healthcare is one of the most important sectors in all countries and significantly affects the economy. As such, the sector consumes an average of 9.5% of the gross domestic product across the most developed countries; they should invoke smart healthcare systems to efficiently utilize available resources, vastly handle spontaneous emergencies, and professionally manage the population health records. With the rise of the Cloud and Mobile Computing, a vast variety of added values have been introduced to software and IT infrastructure. This chapter provides a comprehensive review on the new Cloud-based and mobile-based applications that have been developed in the healthcare field. Cloud's availability, scalability, and storage capabilities, in addition to the Mobile's portability, wide coverage, and accessibility features, contributed to the fulfillment of healthcare requirements. The chapter shows how Cloud and Mobile opened a new environment for innovative services in the healthcare field and discusses the open research issues.


2020 ◽  
Vol 8 (4) ◽  
pp. 234 ◽  
Author(s):  
Denis Selimović ◽  
Jonatan Lerga ◽  
Jasna Prpić-Oršić ◽  
Sasa Kenji

Various operations at sea, such as maintaining a constant ship position and direction, require a complex control system. Under such conditions, the ship needs an efficient positioning technique. Dynamic positioning (DP) systems provide such an application with a combination of the actuators mechanism, analyses of crucial ship variables, and environmental conditions. The natural forces of induced nonlinear waves acting on a ship’s hull interfere with the systems. To generate control signals for actuators accurately, sensor measurements should be filtered and processed. Furthermore, for safe and green routing, the forces and moments acting on the ship’s hull should be taken into account in terms of their prediction. Thus, the design of such systems takes into account the problem of obtaining data about the directional wave spectra (DWS). Sensor systems individually cannot provide high accuracy and reliability, so their measurements need to be combined and complemented. Techniques based on the recursive Kalman filter (KF) are used for this purpose. When some measurements are unavailable, the estimation procedure should predict them and, based on the comparison of theoretical and measured states, reduce the error variance of the analyzed signals. Different approaches for improving estimation algorithms have evolved over the years with the indication of improvement. This paper gives an overview of the state-of-the-art estimation and filtering techniques for providing optimum estimation states in DP systems.


Author(s):  
Alison Flatau ◽  
Usha Varshney ◽  
Peter Chang

Advances in MEMs, wireless, information technology and other enabling technologies are leading to new sensor system functionality and access to more accurate data and information than heretofore realizable. These advances are crucial for realizing the full potential of the on-going transition from data-poor to data-rich and information-poor to information-rich science and engineering practices. With decreases in size and cost of sensors resulting from advances in microsystem technologies, ubiquitous sensing is becoming both physically realizable and economically feasible. New developments in sensed-information technologies offer the promise of novel insights and advances in areas that have previously lacked the technology base for acquiring high resolution and highly specific assessments of state (biologic, chemical, physical, optical, etc.). Increased research and education are needed in new technologies addressing research issues relating to new hardware and software for efficient acquisition of data and information, and in new decision and control theory as tools for managing and using available data and information. New sensor system functionality will be realized through countless different design concepts. This paper examines some of the needs, opportunities, and trends for research and education in the area of sensed-information and sensor systems research.


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