Projects Improving QoS of the Voice Real-Time Data Based on IP Network

2012 ◽  
Vol 220-223 ◽  
pp. 2471-2474
Author(s):  
Jin Hua Liang ◽  
Xuan Zen

The reasons influencing the VoIP QoS include transmission delay, jitter and data packet drop. The main measures improving the VoIP QoS are the integrated services and the differentiated services. But the integrated service is only suitable for the small-scale network, and the differentiated services can’t guarantee QoS from the source end to the destination end for every IP data stream alone. The paper sets forth a kind of mixed model combining integrated Services with differentiated Services to support the VoIP QoS on the bases analysis of their defects.

Author(s):  
Monacer da Silva ◽  
Jean Charlety ◽  
Aurelia Fraysse ◽  
Jean-Christophe Pesquet
Keyword(s):  

Marine Policy ◽  
2021 ◽  
pp. 104606
Author(s):  
Ines Lopez-Ercilla ◽  
Maria Jose Espinosa-Romero ◽  
Francisco J. Fernandez Rivera-Melo ◽  
Stuart Fulton ◽  
Rebeca Fernández ◽  
...  
Keyword(s):  

2021 ◽  
pp. 146144482110221
Author(s):  
Tamas Tofalvy ◽  
Júlia Koltai

In this article, we argue that offline inequalities, such as core–periphery relations of the music industry, are reproduced by streaming platforms. First, we offer an overview of the reproduction of inequalities and core–periphery dynamics in the music industry. Then we illustrate this through a small-scale network analysis case study of Hungarian metal bands’ connections on Spotify. We show that the primary determinant of a given band’s international connectedness in Spotify’s algorithmic ecosystem is their international label connections. Bands on international labels have more reciprocal international connections and are more likely to be recommended based on actual genre similarity. However, bands signed with local labels or self-published tend to have domestic connections and to be paired with other artists by Spotify’s recommendation system according to their country of origin.


Ramus ◽  
1990 ◽  
Vol 19 (2) ◽  
pp. 160-168
Author(s):  
F.M.A. Jones

The approach to the Satires of Juvenal via the persona theory is well-known and has been productive. Somewhat less notice has been given to the fact that a considerable number of the satires have their persona moulded around another character, an addressee or an interlocutor, or sometimes an important narrative figure. Such characters ‘justify’ the persona, which can now be seen as a kind of ad hominem irony. This matter is intricately linked with the role of indignatio. Thus indignation, programmed in the first satire, becomes a little suspect in Laronia's mouth in the second. Laronia is a small scale character, but the techniques used in her regard appear again in the third satire, where the difference between Juvenal and Umbricius reveals the inadequacy of indignatio a little more clearly. The difference between the treatment of Crispinus and of Domitian in the fourth satire carries this process further. In the fifth, Juvenal tries to rouse the abject Trebius, but in his own apostrophe to Virro (Sat. 5.107f.) shows that indignatio is not, perhaps, appropriate at all. The role of indignatio diminishes further in the later satires, noticeably in the ninth, where Juvenal's tone is one of banter and Naevolus reveals his own unpleasantness. Much of this process has been charted by S. Braund in a book on the seventh, eighth, and ninth satires. The argument can be resumed with the eleventh satire where there is a further development. In the earlier satires which use address or dialogue there is an impressive realism in dramatic terms about the confrontation and psychology. In the eleventh (and even more, the twelfth) the development of the techniques of irony begins to intrude on the dramatic plausibility: the voice assumed in the poem becomes more aware of the audience as well as the addressee. As the beginning of a demonstration of this change I now provide an analysis of the use of Persicus in the eleventh satire.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Salah Aldain Abdullah Alshorman ◽  
Martin Shanahan

PurposeThis study examines the association between firm profitability and the “voice” of the CEO measured through tones they convey in their annual letter to shareholders. The paper examines whether the tones corresponds to a firm's profitability and the extent to which CEO tone varies with changes in profitability.Design/methodology/approachThe authors analyze 187 Australian CEOs communications in 748 annual letters to their shareholders between 2010 and 2013. Two-word lists created by previous researchers are used to assess tones for their positive-negative plurality, uncertainty and use of modal words. Firm profitability is identified using return on assets. The authors examine the relationship between profitability and tones using simple ANOVA as well as a linear mixed model and then a change (differences) model. The change model captures any inertia or genre effect in the CEO letter to shareholders.FindingsUsing both the level and change model, the authors find that firm profitability is associated with CEO's tones that are more optimistic and less pessimistic. The authors also find that the use of negative words has more communicative value than positive words or “net” positive words. The authors also observe some genre effect when CEOs use strong modal words.Research limitations/implicationsThe sample is restricted to a selection of Australian firms that had the same CEO for the fiscal years 2010–2013; which reported in each financial year and which survived the global financial crisis. Generalizing the findings to other periods, types of firms, or to CEOs with shorter tenure, might be questionable. This study was conducted in Australia, which may limit the applicability of the findings to other jurisdictions.Practical implicationsThe significant link between firm profitability and CEOs' use of positive, net positive and negative words implies that investors may place reliance on the use of these tones in the CEO's annual letter to accurately reflect the profitability of the firm.Originality/valueThe study extends the existing literature by examining whether a change in firm profitability is linked to a change in CEO tone. It concludes that even in periods of general financial stress, shareholders should be confident that CEOs' letters to shareholders provide credible information that corresponds to firm performance.


Author(s):  
De-Ming Liang ◽  
Yu-Feng Li

Label propagation spreads the soft labels from few labeled data to a large amount of unlabeled data according to the intrinsic graph structure. Nonetheless, most label propagation solutions work under relatively small-scale data and fail to cope with many real applications, such as social network analysis, where graphs usually have millions of nodes. In this paper, we propose a novel algorithm named \algo to deal with large-scale data. A lightweight iterative process derived from the well-known stochastic gradient descent strategy is used to reduce memory overhead and accelerate the solving process. We also give a theoretical analysis on the necessity of the warm-start technique for label propagation. Experiments show that our algorithm can handle million-scale graphs in few seconds while achieving highly competitive performance with existing algorithms.


2021 ◽  
Author(s):  
Melisa Menceloglu ◽  
Marcia Grabowecky ◽  
Satoru Suzuki

AbstractOscillatory neural activities are prevalent in the brain with their phase realignment contributing to the coordination of neural communication. Phase realignments would have especially strong (or weak) impact when neural activities are strongly synchronized (or desynchronized) within the interacting sub-populations. We report that the spatiotemporal dynamics of strong regional synchronization (reflected in maximal EEG spectral power)—activation—and strong regional desynchronization (reflected in minimal EEG spectral power)—suppression—are characterized by the spatial segregation of isolated small-scale networks and highly cooperative large-scale networks. Specifically, small-scale spectral-power activations and suppressions involving only 2%–7% of EEG scalp sites were prolonged (relative to stochastic dynamics) and consistently co-localized in a frequency specific manner. For example, the small-scale networks for θ, α, β1, and β2 bands (4–30 Hz) consistently included frontal sites when the eyes were closed, whereas the small-scale network for γ band (31–55 Hz) consistently clustered in medial-central-posterior sites whether the eyes were open or closed. Large-scale activations and suppressions involving over 30% of EEG sites were also prolonged and generally clustered in regions complementary to where small-scale activations and suppressions clustered. In contrast, intermediate-scale activations and suppressions tended to follow stochastic dynamics and were less consistently localized. These results suggest that strong synchronizations and desynchronizations occur in small-scale and large-scale networks that are spatially segregated and frequency specific. These synchronization networks may broadly segregate the relatively independent and highly cooperative oscillatory processes while phase realignments fine-tune the network configurations based on behavioral demands.


10.28945/2653 ◽  
2003 ◽  
Author(s):  
Marlenne Angulo ◽  
Marco Turrubiartes

One of the options that telephonic systems have to optimize the required bandwidth is to migrate to statistical multiplexing systems. These multiplexing schemes also allow the convergence with current data communications systems. This work is based in the interconnection of telephonic systems through the data network using digitalization and voice compression techniques. The optimization of the resources is achieved using the voice compression standard of 8 kbps instead of the 64 kbps standard, thus, introducing differentiated services in IP networks. The performance of the voice packages is improved in terms of delay and package losses. The results presented were obtained by means of computer simulations using COMNET. The merit of this work is the usage of real telephonic traffic information obtained from the call recorders of the UABC, the information was acquired for several months, which allowed the consideration of effects such as rush hours and variable call duration. The performance of the system was evaluated, obtaining very satisfactory results in terms of resources utilization.


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