Mutual information performance of differential MPSK detection over time-varying channels

This paper provides mutual information performance analysis of multiple-symbol differential WSK (M-phase shift keying) over time-correlated, time-varying flat-fading communication channels. A state space approach is used to model time correlation of time varying channel phase. This approach captures the dynamics of time correlated, time-varying channels and enables exploitation of the forward-backward algorithm for mutual information performance analysis. It is shown that the differential decoding implicitly uses a sequence of innovations of the channel process time correlation and this sequence is essentially uncorrelated. It enables utilization of multiple-symbol differential detection, as a form of block-by-block maximum likelihood sequence detection for capacity achieving mutual information performance. It is shown that multiple-symbol differential ML detection of BPSK and QPSK practically achieves the channel information capacity with observation times only on the order of a few symbol intervals

Characterizing the most general temporal constraint

This paper introduces a characterization of the so-called most general temporal constraint (GTC), which guarantees the common-sense assertion that "the beginning of the effect cannot precede the beginning of the cause". The formalism is based on general time theory which takes both points and intervals as primitive. It is shown that there are in fact 8 possible causal relationships which satisfy GTC, including cases where, on the one hand, effects start simultaneously with, during, immediately after, or some time after their causes, and on the other hand, events end before, simultaneously with, or after their causes. These causal relationships are versatile enough to subsume those representatives in the literature.

A framework for historical case-based reasoning

This paper presents a framework for Historical Case-Based Reasoning (HCBR) which allows the expression of both relative and absolute temporal knowledge, representing case histories in the real world. The formalism is founded on a general temporal theory that accommodates both points and intervals as primitive time elements. A case history is formally defined as a collection of (time-independent) elemental cases, together with its corresponding temporal reference. Case history matching is two-fold, i.e., there are two similarity values need to be computed: the non-temporal similarity degree and the temporal similarity degree. On the one hand, based on elemental case matching, the non-temporal similarity degree between case histories is defined by means of computing the unions and intersections of the involved elemental cases. On the other hand, by means of the graphical presentation of temporal references, the temporal similarity degree in case history matching is transformed into conventional graph similarity measurement.

A robust approach to subsequence matching

In terms of a general time theory which addresses time-elements as typed point-based intervals, a formal characterization of time-series and state-sequences is introduced. Based on this framework, the subsequence matching problem is specially tackled by means of being transferred into bipartite graph matching problem. Then a hybrid similarity model with high tolerance of inversion, crossover and noise is proposed for matching the corresponding bipartite graphs involving both temporal and non-temporal measurements. Experimental results on reconstructed time-series data from UCI KDD Archive demonstrate that such an approach is more effective comparing with the traditional similarity model based algorithms, promising robust techniques for lager time-series databases and real-life applications such as Content-based Video Retrieval (CBVR), etc.

Trust and Leadership in Higher Education in the Downturn

This Leadership Academy Workshop presentation focused on 'Trust and Leadership in the Downturn', with particular reference to the public sector and to education. The presentation discussed a range of definitions of trust, including the view of Mayer, Davis and Schoorman (1995) that trust can be described as 'the willingness of a person to be vulnerable to the actions of another, based on the expectation that the other will perform a particular action important to the trustor, irrespective of the ability to monitor or control that action'. The presentation then focused on the reasons why this relational psychological state is important,particularly in an economic recession when people were facing job cuts and economic uncertainty in a wider political and social environment characterised by cynicism and a downturn in trust. If trust is defined in part as a belief in the honesty, competence and benevolence of others, it tends to act like 'social glue', cushioning difficult situations and enabling actions to take place easily that otherwise would not be permissible. A worrying state of affairs has recently been developing across the world, however, in the economic downturn, as reported in the Edelman Trust Barometer for 2009, in which there was a marked diminuition of trust in corporations, businesses and government, as a result of the credit crunch. While the US and parts of Europe was showing recovery from a generalised loss of trust by mid-year 2009, the UK had not. It seems that social attitudes in Britain may be hardening - it seems that from being a nation of sceptics we may be becoming a nation of cynics: for example, 69% of the population surveyed by Edelman trust the government less than six months ago. In this situation, there is a need to promote positive measures to build trust, including the establishment of more transparent and honest business practices and practices to ensure that employees are treated well. Following the presentation, a workshop was held to discuss the nature of a possible loss of trust in the downturn in the UK and its implications for leadership practices and development.