Translating Values:Evaluative Concepts in Translation

This collection explores the central importance of values and evaluative concepts in cross-cultural translational encounters. Written by a group of international scholars from a diverse range of linguistic and cultural backgrounds, the chapters in this book consider what it means to translate cultures by examining core values and their relationship to key evaluative concepts (such as authenticity, clarity, home, honour, or justice) and how they influence the complex multidimensional process of translation. This book will be of interest to academics studying cross-cultural and inter-linguistic interactions, to translators and interpreters, students of translation and of modern languages, and all those dealing with multilingual and multicultural settings.

Foreign Policy as Ethics: Toward a Re-Evaluation of Values

This article notes that while ethics is increasingly talked of in foreign policy, it remains a blind-spot for FPA. It argues that this must be rectified through a critical approach which conceptualises foreign policy as ethics. The first section examines how even constructivist approaches, which are highly attuned to the intersubjective sphere, still generally avoid dealing with morality. The second section looks at the possibilities and limits of one piece of constructivist theorizing that explores the translation of morality into foreign policy via ‘norms’. This demonstrates the problems that a constructivist account, with its tendency toward explanatory description without evaluation, will always face. The final section argues, through an examination of EU foreign policy (from 1999-2004) and its innovative use of ‘hospitality’, that FPA must critically reassess the value of the norms and principles by which foreign policy operates in order to suggest potentially more ethical modes of encounter.

Islanding Detection Based on Probabilistic PCA with Missing Values in PMU Data

This paper proposes a probabilistic principal component analysis (PCA) approach applied to islanding detection study based on wide area PMU data. The increasing probability of uncontrolled islanding operation, according to many power system operators, is one of the biggest concerns with a large penetration of distributed renewable generation. The traditional islanding detection methods, such as RoCoF and vector shift, are however extremely sensitive and may result in many unwanted trips. The proposed probabilistic PCA aims to improve islanding detection accuracy and reduce the risk of unwanted tripping based on PMU measurements, while addressing a practical issue on missing data. The reliability and accuracy of the proposed probabilistic PCA approach are demonstrated using real data recorded in the UK power system by the OpenPMU project. The results show that the proposed methods can detect islanding accurately, without being falsely triggered by generation trips, even in the presence of missing values.