Point-wise confidence interval estimation by neural networks: A comparative study based on automotive engine calibration.

In developing neural network techniques for real world applications it is still very rare to see estimates of confidence placed on the neural network predictions. This is a major deficiency, especially in safety-critical systems. In this paper we explore three distinct methods of producing point-wise confidence intervals using neural networks. We compare and contrast Bayesian, Gaussian Process and Predictive error bars evaluated on real data. The problem domain is concerned with the calibration of a real automotive engine management system for both air-fuel ratio determination and on-line ignition timing. This problem requires real-time control and is a good candidate for exploring the use of confidence predictions due to its safety-critical nature.

Market orientation in the service sector of the transition economies of central Europe

The Narver and Slater market orientation scale is tested in the context of service firms in the transition economies of central Europe and found to be both valid and reliable. The survey examined levels of market orientation in 205 business to business services companies and 141 consumer services companies in Hungary, Poland and Slovenia. As predicted by the predominantly western marketing literature, those service firms with higher levels of market orientation; were more often found in turbulent, rapidly changing markets; were more likely to pursue longer term market building goals rather than short term efficiency objectives; more likely to pursue differentiated positioning through offering superior levels of service compared to competitors; and also performed better on both financial and market based criteria. A number of different business approaches, however, are evident in the transition economies suggesting that other business orientations may co-exist with a market orientation creating a richer and more complex set of organizational drivers.

Privatisation and sustainable competitive advantage in the emerging economies of Central Europe

Extant research on the impact of privatization in the Central Europe (CE) region has focused on improvements in efficiency and the nature of cost-based advantages. This study argues that the development of a vibrant privatized sector requires attention to the broader resource configurations of domestic enterprises. Empirical research was conducted on a large sample of firms in Poland, Hungary and Slovenia. Foreign investment was found to significantly impact on resource accumulation with implications for the development of strategic capabilities and competitive advantage. Foreign direct investment is an effective vehicle for the transfer of financial resources, reputation and new brands but not organizational capabilities. In terms of practice, this study demonstrates the important role of outside investment in the development of a firm's resource base (Frydman et al. 1999). Companies can gain a competitive advantage in their domestic markets through gaining access to the resources of foreign investors.

An aspect-oriented and model-driven approach for managing dynamic variability

Constructing and executing distributed systems that can adapt to their operating context in order to sustain provided services and the service qualities are complex tasks. Managing adaptation of multiple, interacting services is particularly difficult since these services tend to be distributed across the system, interdependent and sometimes tangled with other services. Furthermore, the exponential growth of the number of potential system configurations derived from the variabilities of each service need to be handled. Current practices of writing low-level reconfiguration scripts as part of the system code to handle run time adaptation are both error prone and time consuming and make adaptive systems difficult to validate and evolve. In this paper, we propose to combine model driven and aspect oriented techniques to better cope with the complexities of adaptive systems construction and execution, and to handle the problem of exponential growth of the number of possible configurations. Combining these techniques allows us to use high level domain abstractions, simplify the representation of variants and limit the problem pertaining to the combinatorial explosion of possible configurations. In our approach we also use models at runtime to generate the adaptation logic by comparing the current configuration of the system to a composed model representing the configuration we want to reach. © 2008 Springer-Verlag Berlin Heidelberg.

A knowledge driven approach towards the validation of externally acquired traceability datasets in supply chain business processes

The sharing of near real-time traceability knowledge in supply chains plays a central role in coordinating business operations and is a key driver for their success. However before traceability datasets received from external partners can be integrated with datasets generated internally within an organisation, they need to be validated against information recorded for the physical goods received as well as against bespoke rules defined to ensure uniformity, consistency and completeness within the supply chain. In this paper, we present a knowledge driven framework for the runtime validation of critical constraints on incoming traceability datasets encapuslated as EPCIS event-based linked pedigrees. Our constraints are defined using SPARQL queries and SPIN rules. We present a novel validation architecture based on the integration of Apache Storm framework for real time, distributed computation with popular Semantic Web/Linked data libraries and exemplify our methodology on an abstraction of the pharmaceutical supply chain.

Effect of spatial inhomogeneity of charge carrier mobility on current-voltage characteristics in organic field-effect transistors

A semi-quantitative model is put forward elucidating the role of spatial inhomogeneity of charge carrier mobility in organic field-effect transistors. The model, based on electrostatic arguments, allows estimating the effective thickness of the conducting channel and its changes in function of source-drain and gate voltages. Local mobility gradients in the direction perpendicular to the insulator/semiconductor interface translate into voltage dependences of the average carrier mobility in the channel, resulting in positive or negative deviations of current-voltage characteristics from their expected shapes. The proposed effect supplements those described in the literature, i.e., density-dependent mobility of charge carriers, short-channel effects, and contribution of contact resistance.

Identification of a time-dependent bio-heat blood perfusion coefficient

In the paper the identification of the time-dependent blood perfusion coefficient is formulated as an inverse problem. The bio-heat conduction problem is transformed into the classical heat conduction problem. Then the transformed inverse problem is solved using the method of fundamental solutions together with the Tikhonov regularization. Some numerical results are presented in order to demonstrate the accuracy and the stability of the proposed meshless numerical algorithm.

Adversarial interpreting – a forensic linguistic perspective

Interactions with second language speakers in public service contexts in England are normally conducted with the assistance of one interpreter. Even in situations where team interpreting would be advisable, for example in lengthy courtroom proceedings, financial considerations mean only one interpreter is normally booked. On occasion, however, more than one interpreter, or an individual (or individuals) with knowledge of the languages in question, may be simultaneously present during an interpreted interaction, either monitoring it or indeed volunteering unsolicited input. During police interviews or trials in England this may happen when the interpreter secured by the defence team to interpret during private consultation with the suspect or defendant is present also in the interview room or the courtroom but two independently sourced interpreters need not be limited to legal contexts. In healthcare settings for example, service users sometimes bring friends or relatives along to help them communicate with service providers only to find that the latter have booked an interpreter as a matter of procedure. By analogy to the nature of the English legal system, I refer to contexts where an interpreter’s output is monitored and/or challenged, either during the speech event or subsequently, as ‘adversarial interpreting’. This conceptualisation reflects the fact that interpreters in such encounters are sourced independently, often by opposing parties, and as a result can rarely be considered a team. My main concern in this paper is to throw spotlight on adversarial interpreting as a hitherto rarely discussed problem in its own right. That it is not an anomaly is evidenced by the many cases around the world where the officially recorded interpreted output was challenged, as mentioned in for example Berk-Seligson (2002), Hayes and Hale (2010), and Phelan (2011). This paper reports on the second stage of a research project which has previously involved the analysis of a transcript of an interpreted police interview with a suspect in a murder case. I will mention the findings of the analysis briefly and introduce some new findings based on input from practising interpreters who have shared their experience of adversarial interpreting by completing an online questionnaire. I will try to answer the question of how the presence of two interpreters, or an interpreter and a monitoring participant, in the same speech event impacts on the communication process. I will also address the issue of forensic linguistic arbitration in cases where incompetent interpreting has been identified or an expert opinion is sought in relation to an adversarial interpreting event of significance to a legal dispute. References Berk-Seligson (2002), The Bilingual Courtroom: Court Interpreters in the Judicial Process, University of Chicago Press. Hayes, A. and Hale, S. (2010), "Appeals on incompetent interpreting", Journal of Judicial Administration 20.2, 119-130. Phelan, M. (2011), "Legal Interpreters in the news in Ireland", Translation and Interpreting 3.1, 76-105.

Translation, transcription, interpreting?

In this talk I discuss some of the problems involved in the transcription and translation of poor quality and/or covertly made recordings. My focus is on how Speech Act Theory can help inform transcription practice. I argue that transcribers should have a good understanding of the pragmatic level of language communication; I illustrate with real case examples how the lack of this understanding can lead to flawed interpretations (and thus potentially miscarriages of justice). I also discuss the problems inherent in forensic translation, where, given the evidential status of the material being translated, the translator’s linguistic choices are often circumscribed by elements of the legal context s/he may not be familiar with.