Assessing SSR Relative Data Capacity

Previous medical services for humans provided healthcare information using the static-based computing of space-constrained hospitals or healthcare centers. In contrast, current mobile health information management computing and services are being provided so that they utilize both the mobility of mobile computing and the scalability of cloud computing to monitor in real-time the health status of patients who are moving. In addition, data capacity has sharply increased with the expansion of the principal data generation cycle from the traditional static computing environment to the dynamic computing environment. This chapter presents mobile cloud healthcare computing systems that simultaneously leverage the portability and scalability of healthcare services. This chapter also presents the wearable computing system as an application of mobile healthcare.

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Radio Frequency Identification

Advanced Communication Protocol Technologies - Advances in Wireless Technologies and Telecommunication ◽

10.4018/978-1-60960-732-6.ch023 ◽

2011 ◽

pp. 502-526

Author(s):

Róbert Schulcz ◽

Gábor Varga

Keyword(s):

Radio Frequency ◽

Radio Frequency Identification ◽

Common Coding ◽

Coding Schemes ◽

Data Capacity ◽

History Of ◽

Frequency Identification ◽

The Common ◽

System Selection ◽

Reading Distance

In this chapter, we will start by briefly summarizing the history of radio frequency identification systems. After that, we will introduce the components of such systems and classify them based on programmability, data capacity, frequency, and reading distance, as well as power supplement and reply transfer methods. We will describe the various coupling types used in RFID systems, present the common coding schemes and modulations, and give an overview of the standardization efforts. This chapter will focus on collision detection and resolution algorithms and conclude by practical suggestions on RFID system selection for different tasks.

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Dynamic Resource Management in High Throughput Satellite with Multi Port Amplifier (MPA)

International Journal of Interdisciplinary Telecommunications and Networking ◽

10.4018/ijitn.2016070105 ◽

2016 ◽

Vol 8 (3) ◽

pp. 66-81

Author(s):

Sunil Panthi ◽

Ahmed M. Eltawil

Keyword(s):

High Throughput ◽

Noise Temperature ◽

Efficient Utilization ◽

Commercial Aviation ◽

Radiated Power ◽

Large Numbers ◽

Small Spot ◽

Data Capacity ◽

Dynamic Resource Management ◽

Dynamic Resource

The demand for data capacity has been growing, especially in the aviation and maritime industries and is expected to continue to grow in the foreseeable future. The satellite industry is moving to High Throughput Satellite (HTS) that are characterized by large numbers of small spot beams, frequency reuse, higher Equivalent Isotropically Radiated Power (EIRP) and higher Gain to Noise Temperature (G/T) to meet growing capacity demand. Multi-Port Amplifiers (MPA) increase the flexibility of HTS systems by allowing capacity to be allocated dynamically based on changing demand. This will allow capacity requirements to be planned based on the sum of the requirements across all beams rather than the peaks in each HTS beam. The authors propose a ground based solution that will maximize resource utilization of an HTS with an MPA and deliver the capacity dynamically based on demand. Maritime, commercial aviation, satellite based cellular backhaul, and disaster recovery services are the main applications that can benefit from the solution they propose. The authors' results show significant reduction in the overall capacity requirements because of the more efficient utilization of the satellite resources.

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