Improved TDM switching assignments for variable and fixed burst length

2006 ◽  
Vol 25 (1) ◽  
pp. 93-107
Author(s):  
Dimitri Kagaris
Keyword(s):  
1993 ◽  
Vol 140 (5) ◽  
pp. 337 ◽  
Author(s):  
D.K. Hunter ◽  
P.J. Legg ◽  
I. Andonovic

1968 ◽  
Vol 48 (1) ◽  
pp. 89-109
Author(s):  
ANN E. KAMMER

1. The patterns of muscle activity during warm-up were compared to those of flight. In the skipper Hylephila phylaeus and in the hawk moths Celerio lineata and Mimas tiliae the intervals between bursts of muscle potentials are the same as the wingbeat periods of flight at the same thoracic temperature, and the burst length is the same as in flight. In saturniids the period and burst length are both shorter during wing-vibrating than during flight. 2. During wing-vibrating the amplitude of the wing movement is small, and some of the muscles which are antagonists in flight are active simultaneously. In Hylephila phylaeus and Celerio lineata there is a phase change between some synergistic muscles, while some antagonistic pairs retain the phase relationships of flight. During wing-vibrating in Mimas tiliae and in saturniids all the motor units sampled were active at the same time. 3. In M. tiliae a variety of phase relationships intermediate between those of wing-vibrating and flight were observed, including a case of ‘relative co-ordination’ between motor units in the mesothorax. The results exclude the possibility that a single pace-making centre drives the motor neurons in the flight pattern. 4. A model of the central nervous interactions which generate the observed motor patterns is proposed. It is postulated that a small group of positively coupled neurons produces bursts of impulses at the wingbeat frequency and that these groups interact to generate the phase relationships seen during warm-up and flight.


2017 ◽  
Vol 34 (3) ◽  
pp. 306-332 ◽  
Author(s):  
Teresa Limpo ◽  
Rui A. Alves

It is established that transcription skills (handwriting and spelling) constrain children’s writing. Yet, little is known about the mechanism underlying this relationship. This study examined the mediating role of bursts and pauses on the link between transcription skills and writing fluency or text quality. For that, 174 second graders did the alphabet task and wrote a story using HandSpy. Path analyses indicated that writing fluency and text quality models were excellent descriptions of the data, with 80% and 46% of explained variance, respectively. Results showed that handwriting and spelling influenced writing fluency only indirectly via burst length and short pauses duration (full mediation); and that whereas only handwriting contributed to text quality directly, both handwriting and spelling contributed to text quality indirectly, via burst length (partial mediation). These findings suggest that better transcription skills allow students to write more words without pausing, which in turn results in more fluent and better writing.


Author(s):  
P. J. Legg ◽  
D. K. Hunter ◽  
M. Tur ◽  
P. E. Barnsley ◽  
I. Andonovic

Author(s):  
Awos Kh. Ali ◽  
Iain Phillips ◽  
Huanjia Yang

Networks performance is traditionally evaluated using packet delivery ratio (PDR) and latency (delay). We propose an addition mechanism the drop-burst length (DBL). Many traffic classes display varying application-level performance according to the pattern of drops, even if the PDR is similar. In this paper we study a number of VANET scenarios and evaluate them with these three metrics.Vehicular Ad-hoc Networks (VANETs) are an emerging class of Mobile Ad-hoc Network (MANETs) where nodes include both moving vehicles and fixed infrastructure. VANETs aim to make transportation systems more intelligent by sharing information to improve safety and comfort. Efficient and adaptive routing protocols are essential for achieving reliable and scalable network performance. However, routing in VANETs is challenging due to the frequent, high-speed movement of vehicles, which results in frequent network topology changes.Our simulations are carried out using NS2 (for network traffic) and SUMO (for vehicular movement) simulators, with scenarios configured to reflect real-world conditions. The results show that OLSR is able to achieve a best DBL performance and demonstrates higher PDR performance comparing to AODV and GPSR under low network load. However, with GPSR, the network shows more stable PDR under medium and high network load. In term of delay OLSR is outperformed by GPSR.


1967 ◽  
Vol 47 (2) ◽  
pp. 213-228
Author(s):  
INGRID WALDRON

1. The central nervous system of the flying locust generates a pattern of alternating bursts of impulses in the elevator and depressor motor neurons (Wilson, 1961). The mechanism by which controlling inputs modify this output pattern is analysed in this paper. 2. During roll turns and other flight manoeuvres the average number of impulses per burst (average burst length) changes in certain motor neurons. Changes in average burst length develop slowly, over tens of wingbeat cycles, even in response to the abrupt changes in input which result from electrical stimulation of sensory nerves. 3. In addition to the slow changes in average burst length which are elicited by controlling inputs, more rapid changes in burst length sometimes occur. During this rapid variation a longer burst is usually followed by a shorter burst, probably because the motor neuron is less excitable after a longer burst of activity. Burst length varies independently in different motor neurons. Both findings suggest that much of the rapid variation in burst length is due to changes occurring within the individual motor neurons, and is not a response to rapid changes in controlling inputs. 4. Under all conditions, changes in the number of impulses per burst are correlated with small changes in the relative timing of the burst; the longer bursts produced by a motor neuron begin slightly earlier in the wingbeat cycle. This implies that the factors which cause variation in the length of the bursts are also responsible for producing the variation in the timing of the bursts. 5. All of the observations can be explained on one assumption: that the only effect of controlling inputs is to cause slow changes in the ‘average excitation’ of individual motor neurons. Thus sensory and central control of the flight pattern generating system appears to be slow control over the average performance, rather than fast control over performance in a particular cycle.


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