Current Issue : July - September Volume : 2012 Issue Number : 3 Articles : 5 Articles
Mobile phone text messaging (Short Message Service, SMS) has proved to be a powerful tool for many tasks in\r\nhealth care. It is affordable and instant way for communication between health care personnel and patients, enabling\r\ndifferent kinds of control and monitoring applications, improving adherence in self-management of chronic diseases or\r\nhealthy lifestyle programs etc. However, it is not only textual data that can be transmitted by mobile phone messaging.\r\nMultimedia Message Service (MMS) makes it possible to send images, video sequences and audio attached to the\r\nmessage. This has significant potential in health care applications, and an amount of research has been made recently\r\non this field. In this paper, we review the recent development in the mobile phone messaging in health care. Special\r\nattention has been paid in the discussion of the current state of the art of text messaging as well as the potentiality of\r\nmultimedia data that can be utilized by means of multimedia messaging....
In this paper, we apply both agent-based models and queuing models to investigate patient access and patient flow\r\nthrough emergency departments. The objective of this work is to gain insights into the comparative contributions and\r\nlimitations of these complementary techniques, in their ability to contribute empirical input into healthcare policy and\r\npractice guidelines. The models were developed independently, with a view to compare their suitability to emergency\r\ndepartment simulation. The current models implement relatively simple general scenarios, and rely on a combination of\r\nsimulated and real data to simulate patient flow in a single emergency department or in multiple interacting emergency\r\ndepartments. In addition, several concepts from telecommunications engineering are translated into this modeling context.\r\nThe framework of multiple-priority queue systems and the genetic programming paradigm of evolutionary machine\r\nlearning are applied as a means of forecasting patient wait times and as a means of evolving healthcare policy, respectively.\r\nThe modelsââ?¬â?¢ utility lies in their ability to provide qualitative insights into the relative sensitivities and impacts of model input\r\nparameters, to illuminate scenarios worthy of more complex investigation, and to iteratively validate the models as they\r\ncontinue to be refined and extended. The paper discusses future efforts to refine, extend, and validate the models with\r\nmore data and real data relative to physical (spatialââ?¬â??topographical) and social inputs (staffing, patient care models, etc.).\r\nReal data obtained through proximity location and tracking system technologies is one example discussed....
The paper focuses on a power control mechanism and proposes a novel approach for dynamic adaptation of femtocells�\r\ntransmitting power. The basic idea is to adapt the transmitting power of femtocells according to current traffic load and signal\r\nquality between user equipments and the femtocell in order to fully utilize radio resources allocated to the femtocell. The advantage\r\nof the proposed scheme is in provisioning of high quality of service level to the femtocell users, while interference to users attached\r\nto macrobase station is minimized. The paper proposes the power adaptation algorithm and evaluates its performance in terms of\r\nmobility events, achieved throughput, and FAPs transmitting power. Performed simulations show that the proposed scheme can\r\nsignificantly reduce the number of mobility events caused by passerby users and thus to minimize signaling overhead generated in\r\nthe network. In addition, our proposal enhances overall throughput for most of the investigated scenarios in comparison to other\r\npower control schemes....
In the Electronic Warfare receivers, it is important to know the type of modulation of the intercepted Radar signals (MOP modulation on pulse). This information can be very helpful in identifying the type of Radar present and to take the appropriate actions against it. In this paper, a new signal processing method is presented to identify the FM (Frequency Modulation) pattern from the received Radar pulses. The proposed processing method based on Auto Regressive Spectrum Modelling used for digital modulation classification [1]. This model uses the instantaneous frequency and instantaneous bandwidth as obtained from the roots of the autoregressive polynomial. The instantaneous frequency and instantaneous bandwidth together were used to identify the type of modulation in the Radar pulse. Another feature derived from the instantaneous frequency is the frequency rate of change. The frequency rate of change was used to extract the pattern of the frequency change. Results show that this method works properly even for low signal to noise ratios....
In this article, we propose the idea of phase-superposition-phase-forward (PSPF) relaying for 2-way 3-phase\r\ncooperative network involving constant envelope modulation with discriminator detection in a time-selective\r\nRayleigh fading environment. A semi-analytical expression for the bit-error-rate (BER) of this system is derived and\r\nthe results are verified by simulation. It was found that, compared to one-way relaying, 2-way relaying with PSPF\r\nsuffers only a moderate loss in energy efficiency (of 1.5 dB). On the other hand, PSPF improves the transmission\r\nefficiency by 33%. Furthermore, we believe that the loss in transmission efficiency can be reduced if power is\r\nallocated to the different nodes in this cooperative network in an ââ?¬Ë?optimalââ?¬â?¢ fashion. To further put the performance\r\nof the proposed PSPF scheme into perspective, we compare it against a phase-combining phase-forward\r\ntechnique that is based on decode-and-forward (DF) and multi-level CPFSK re-modulation at the relay. It was\r\nfound that DF has a higher BER than PSPF and requires additional processing at the relay. It can thus be\r\nconcluded that the proposed PSPF technique is indeed the preferred way to maintain constant envelope signaling\r\nthroughout the signaling chain in a 2-way 3 phase relaying system....
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