International Accounting Rate Reform in Telecommunications

Twenty European countries came together in 1865 to form an organisation, the predecessor to the International Telecommunications Union and to arrive at mechanisms and agree upon a methodology of distributing the revenues from the international telegraph service. The current accounting rate system is a modified version of the then developed methodology for the International telegraph. This international settlement regime based on accounting rates has long been under attack by economists, policy-makers in developed countries and international trade organisations. The ITU, the OECD, the FCC and other regulatory bodies are pursuing various initiatives to reform or replace the existing accounting rate system. These regulatory initiatives are aimed at reducing the current pricing distortions embedded in the accounting rate system. In the wake of the WTO agreement, a system of traffic compensation that is not ‘cost oriented’ is not only unsustainable, it is also in violation of the regulatory principles set out in the WTO reference paper. The FCC has been at the forefront of the move to decrease accounting rates. In August 1997, the FCC adopted “benchmark” accounting rates for different groups of countries, which it considered more closely related to the actual costs of providing international service between those countries and the US. The benchmark rates range from $0.15-$.23 per minute, and are far below those currently in practice, particularly for most of the developing countries which are sometimes in excess of $1.00 per minute. If implemented, these rates would significantly reduce international calling revenues of these countries. While the FCC obviously has no direct regulatory jurisdiction outside of the US, it has threatened to deny access to the US market to PTOs from other countries that do not reduce their accounting rates to the benchmark levels. While the future of the existing accounting rate system is being debated in regulatory circles, an increasing proportion of international traffic is bypassing this traditional system of compensation. Facilitated by the global trend towards the liberalisation of telecommunications markets, new technological means for bypassing the accounting rate system are also developing rapidly.

Confidence Scoring and Speaker Adaptation in Mobile Automatic Speech Recognition Applications

Generally, the user group of a language is remarkably diverse in terms of speaker-specific characteristics such as dialect and speaking style. Hence, quality of spoken content varies notably from one individual to another. This diversity causes problems for Automatic Speech Recognition systems. An Automatic Speech Recognition system should be able to assess the hypothesised results. This can be done by evaluating a confidence measure on the recognition results and comparing the resulting measure to a specified threshold. This threshold value, referred to as confidence score, informs how reliable a particular recognition result is for the given speech. A system should perform optimally irrespective of input speaker characteristics. However, most systems are inflexible and non-adaptive and thus, speaker adaptability can be improved. For achieving these purposes, a solid criterion is required to evaluate the quality of spoken content and the system should be made robust and adaptive towards new speakers as well. This thesis implements a confidence score using posterior probabilities to examine the quality of the output, based on the speech data and corpora provided by Devoca Oy. Furthermore, speaker adaptation algorithms: Maximum Likelihood Linear Regression and Maximum a Posteriori are applied on a GMM-HMM system and their results are compared. Experiments show that Maximum a Posteriori adaptation brings 2% to 25% improvement in word error rates of semi-continuous model and is recommended for use in the commercial product. The results of other methods are also reported. In addition, word graph is suggested as the method for obtaining posterior probabilities. Since it guarantees no such improvement in the results, the confidence score is proposed as an optional feature for the system

The Impact of Institutional Credit on Agricultural Production in Pakistan

Three main factors that contribute to agricultural growth are the increased use of agricultural inputs, technological change and technical efficiency. Technological change is the result of research and development efforts, while technical efficiency with which new technology is adopted and used more rationally is affected by the flow of information, better infrastructure, availability of funds and farmers’ managerial capabilities. Higher use and better mix of inputs also requires funds at the disposal of farmers. These funds could come either from farmers’ own savings or through borrowings. In less developed countries like Pakistan where savings are negligible especially among the small farmers, agricultural credit appears to be an essential input along with modern technology for higher productivity.

Impact of psychological capital on innovative performance and job stress

We investigated the impact of psychological capital (PsyCap) on supervisory-rated innovative performance and job stress. Data collected from a diverse sample (N = 237 paired responses) of employees from various organizations in Pakistan provided good support for the hypotheses. The results indicate that PsyCap is positively related to innovative job performance and negatively related to job stress. High PsyCap individuals were rated as exhibiting more innovative behaviours by their supervisors than low PsyCap individuals. Particularly, we found that high PsyCap individuals were more likely to generate, acquire support for, and implement novel ideas in their workplace. Similarly, individuals with high PsyCap reported lower levels of job stress as compared to their low PsyCap counterparts

Analyzing the efficiency differences among basic health units in Sargodha District

Pakistan has adequate infrastructure for health services delivery at primary level. The study aims to calculate the technical efficiency of Basic Health Units (BHUs) in Sargodha by using the Data Envelopment Analysis (DEA) with the choice of inputs and outputs being specific to BHUs operation. DEA model results reveals that the mean technical efficiency under, Constant Returns to Scale (CRS) and Variable Returns to Scale (VRS) was 0.719 and 0.807 while the mean scale efficiency was 0.88. Study exposed that 77 % BHUs were technically inefficient under CRS while 66 % BHUs were technically inefficient under VRS modal. Overall 76% BHUs were inefficient and destructing the infrastructure. Moreover, findings evidently point to adverse inefficiency of BHUs in health services delivery. Study concluded that existing high level of inefficiency in BHUs needs institutional fascination for scaling up BHUs to meet both regional as well international targets such as Millennium Development Goals (MDGs) and recommended such measures that may curb the waste.Basic Health Units, Technical Efficiency, Data Envelopment Analysis, Pakistan

Backhaul-aware Robust 3D Drone Placement in 5G+ Wireless Networks

Using drones as flying base stations is a promising approach to enhance the network coverage and area capacity by moving supply towards demand when required. However deployment of such base stations can face some restrictions that need to be considered. One of the limitations in drone base stations (drone-BSs) deployment is the availability of reliable wireless backhaul link. This paper investigates how different types of wireless backhaul offering various data rates would affect the number of served users. Two approaches, namely, network-centric and user-centric, are introduced and the optimal 3D backhaul-aware placement of a drone-BS is found for each approach. To this end, the total number of served users and sum-rates are maximized in the network-centric and user-centric frameworks, respectively. Moreover, as it is preferred to decrease drone-BS movements to save more on battery and increase flight time and to reduce the channel variations, the robustness of the network is examined as how sensitive it is with respect to the users displacements.Comment: in Proc. IEEE ICC2017 Workshops, FlexNets201