Most impressive features of mobile cellular communication network are frequency reuse and handover. In any cell two types of arrival, new originating call and handoff call from surrounding cells. These two arrivals fo...
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Most impressive features of mobile cellular communication network are frequency reuse and handover. In any cell two types of arrival, new originating call and handoff call from surrounding cells. These two arrivals follow two different types of traffic hence any cell in network experiences mixed traffic. This paper deals with mixed traffic of a cell based on Markovian chain with numerical example. Finally mathematical expression of probability state and call blocking is derived from two-dimensional state transition diagram to validate the result
This paper investigates sequential learning method with new form of weight update applied on a decomposed form of training algorithms using Radial Basis Function (RBF) network. Adding each basis function to the hidden...
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This paper investigates sequential learning method with new form of weight update applied on a decomposed form of training algorithms using Radial Basis Function (RBF) network. Adding each basis function to the hidden layer during the course of training facilitate the weight update to be decomposed on neuron by neuron basis. A new form weight update is introduced where the weight update is based on minimal displacement of the current input elements to the elements of the nearest centre of the Gaussian neuron.
One of the common difficulties in a graph based visual language is to develop its executable semantics and achieved its execution in a distributed environment. In order to address some of these issues, this paper outl...
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One of the common difficulties in a graph based visual language is to develop its executable semantics and achieved its execution in a distributed environment. In order to address some of these issues, this paper outlines the general control flow semantics of a graph based visual language. In doing so, this paper also discusses a sound technique implementing such semantics permitting execution in a distributed environment. An implementation is sketched for a domain specific graph based visual language, called VRPML.
In this paper, we propose a call admission control scheme for mobile cellular network. The proposed scheme is based upon the dynamic channel allocation (DCA) mechanism, where a cell is allowed to borrow the unused cha...
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In this paper, we propose a call admission control scheme for mobile cellular network. The proposed scheme is based upon the dynamic channel allocation (DCA) mechanism, where a cell is allowed to borrow the unused channels of its surrounding cells and it's done when all the nominal channels are already occupied by the traffic. In the paper, we consider a multi-service system that supports voice/data integrated service. All the nominal channels provide services to different traffic types and when these channels are fully utilized by the mixed traffic, the borrowing of channel is done under the DCA environment. In this scheme, the borrowed channels are assigned to provide services to handoff calls only. Here we analyze the proposed scheme based on Markovian chain. Our analysis reveals the fact that the proposed scheme greatly reduces forced termination due to handoffs ensuring the better QoS in a mobile cellular network
ALOHA based random multiple access schemes have been in use for some time as access control protocol in mobile network. In pure and slotted ALOHA system random access technique is modeled considering Poisson's arr...
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ALOHA based random multiple access schemes have been in use for some time as access control protocol in mobile network. In pure and slotted ALOHA system random access technique is modeled considering Poisson's arrival traffic. In case of small network, users and also the coverage area are limited. Hence limited users traffic model is pertinent for such network. In the paper performance parameters of a limited user network have been exclusively studied. This paper will depict an analysis of probability of successful capture of packet, blocking probability and throughput for a limited source random access channel network
In fetal heart monitoring using Doppler ultrasound signals the cardiac information is commonly extracted from non-directional signals. As a consequence often some of the cardiac events cannot be observed clearly which...
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In fetal heart monitoring using Doppler ultrasound signals the cardiac information is commonly extracted from non-directional signals. As a consequence often some of the cardiac events cannot be observed clearly which may lead to the incorrect detection of the valve and wall motions. Here, directional signals were simulated to investigate their enhancement of cardiac events, and hence provide clearer information regarding the cardiac activities. First, fetal Doppler ultrasound signals were simulated with signals encoding forward and reverse motion then obtained using a pilot frequency. The simulation results demonstrate that the model has the ability to produce realistic Doppler ultrasound signals and a pilot frequency can be used in the mixing process to produce directional signals that allow the simulated cardiac events to be distinguished clearly and correctly
Among the various frameworks in which electroencephalographic (EEG) signal synchronization has been traditionally formulated, the most widely studied and used is the coherence that is entirely based on frequency analy...
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Among the various frameworks in which electroencephalographic (EEG) signal synchronization has been traditionally formulated, the most widely studied and used is the coherence that is entirely based on frequency analysis. However, at present time it is possible to capture information about the temporal profile of coherence, which is particularly helpful in studying non-stationary time-varying brain dynamics, like the wavelet coherence (WC). In this paper we propose a new approach of studying brain synchronization dynamics by extending the use of WC to include certain statistically significant (in terms of signal coherence) time segments, to study and characterize any disturbances present in the functional connectivity network of schizophrenia patients. Graph theoretical measures and visualization provide the tools to study the "disconnection syndrome" as proposed for schizophrenia. Specifically, we analyzed multichannel EEG data from twenty stabilized patients with schizophrenia and controls in an experiment of working memory (WM) using the gamma band (i.e., the EEG frequency of ca. 40 Hz), which is activated during the connecting activity (i.e., the "binding" of the neurons). The results are in accordance with the disturbance of connections between the neurons giving additional information related to the localization of most prominent disconnection
Networked control over data networks has received increasing attention in recent years. Among many problems in networked control systems (NCSs) is the need to reduce control latency and jitter and to deal with packet ...
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Networked control over data networks has received increasing attention in recent years. Among many problems in networked control systems (NCSs) is the need to reduce control latency and jitter and to deal with packet dropouts. This paper introduces our recent progress on a queuing communication architecture for real-time NCS applications, and simple strategies for dealing with packet dropouts. Case studies for a middle-scale process or multiple small-scale processes are presented for TCP/IP based real-time NCSs. Variations of network architecture design are modelled, simulated, and analysed for evaluation of control latency and jitter performance. It is shown that a simple bandwidth upgrade or adding hierarchy does not necessarily bring benefits for performance improvement of control latency and jitter. A co-design of network and control is necessary to maximise the real-time control performance of NCSs
Induced currents in the high-resolution, anatomical human models are numerically calculated by the impedance method. The human models are supposed to be exposed to highly inhomogeneous 20.9 kHz magnetic fields from a ...
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Induced currents in the high-resolution, anatomical human models are numerically calculated by the impedance method. The human models are supposed to be exposed to highly inhomogeneous 20.9 kHz magnetic fields from a household induction heater (IH). In the case of the adult models, the currents ranging from 5 to 19 mA/m2 are induced for between the shoulder and lower abdomen. Meanwhile, in the case of the child models, the currents ranging from 5 to 21 mA/m2 are induced for between the head and abdomen. In particular, the induced currents near the brain tissue are almost the same as those near the abdomen. When the induced currents in the central nervous system tissues are considered, the induced currents in the child model are 2.1 to 6.9 times as large as those in the adult model under the same B-field exposure environment. These results suggest the importance of further investigation intended for a pregnant female who uses the IH as well as for a child (or the IH users of small standing height).
The area equivalent principle is simple to generate sinusoidal pulse width modulation (SPWM) waves. The SPWM waves that are generated by output of pulse width modulation (PWM) in single-chip microcomputer or digital s...
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