An adaptive fuzzy min-max conflict-resolving classifier

This paper describes a novel adaptive network, which agglomerates a procedure based on the fuzzy min-max clustering method, a supervised ART (Adaptive Resonance Theory) neural network, and a constructive conflict-resolving algorithm, for pattern classification. The proposed classifier is a fusion of the ordering algorithm, Fuzzy ARTMAP (FAM) and the Dynamic Decay Adjustment (DDA) algorithm. The network, called Ordered FAMDDA, inherits the benefits of the trio, viz . an ability to identify a fixed order of training pattern presentation for good generalisation; stable and incrementally learning architecture; and dynamic width adjustment of the weights of hidden nodes of conflicting classes. Classification performance of the Ordered FAMDDA is assessed using two benchmark datasets. The performances are analysed and compared with those from FAM and Ordered FAM. The results indicate that the Ordered FAMDDA classifier performs at least as good as the mentioned networks. The proposed Ordered FAMDDA network is then applied to a condition monitoring problem in a power generation station. The process under scrutiny is the Circulating Water (CW) system, with prime attention to condition monitoring of the heat transfer efficiency of the condensers. The results and their implications are analysed and discussed.

The extraordinary intricacies of policing vulnerability

Vulnerable people have become a key focus of policy over the past few decades. As a result, police organisations have had to adapt to ongoing requests for specialised attention and protocol development to mediate the interactions between frontline officers and members of a variety of vulnerable groups. This article examines the various socio-political developments that have led to contemporary policing practices in relation to vulnerable people, untangles a series of problems in our current approach to vulnerability. Additionally, we propose an alternative operationalisation of vulnerability, which shifts the focus from siloed cultural competency to integrated critical diversity, and in doing so, attempts to relieve some of the institutional, political and operational pressure faced by policing services.

Regional security and regional conflict

This chapter raises the following main points:
• Regions are groupings of states that share either geographic proximity or have sufficient cultural/historic ties that bind them together.
• Regionalization occurs within a region as interdependence is developed among the regional states.
• The development of regionalism is dependent on the support of the regional great power(s), the extent of reciprocity that exists in the relations of the states in the region, and the level of strategic reassurance that exists among these states.
• Regionalization is not a lineal process, that is, it can increase or decrease.
• The pace of regionalism is different in each region but a basic pattern exists where economic integration precedes political and security integration.
• Regional threats to security can be divided into four categories. The first two comprise traditional military threats such as balance of power contests between regional powers and ‘grass fire’ conflicts between smaller powers or over more localized issues. The
third category includes, for example, intra-state conflicts for ethnic, religious, nationalist or ideological, issues. Finally, transnational threats such as environmental degradation or resource scarcity can also cause regional instability and conflict.