Adaptive Measurement-Based Policy-Driven QoS Management with Fuzzy-Rule-based Resource Allocation

Fixed and wireless networks are increasingly converging towards common connectivity with IP-based core networks. Providing effective end-to-end resource and QoS management in such complex heterogeneous converged network scenarios requires unified, adaptive and scalable solutions to integrate and co-ordinate diverse QoS mechanisms of different access technologies with IP-based QoS. Policy-Based Network Management (PBNM) is one approach that could be employed to address this challenge. Hence, a policy-based framework for end-to-end QoS management in converged networks, CNQF (Converged Networks QoS Management Framework) has been proposed within our project. In this paper, the CNQF architecture, a Java implementation of its prototype and experimental validation of key elements are discussed. We then present a fuzzy-based CNQF resource management approach and study the performance of our implementation with real traffic flows on an experimental testbed. The results demonstrate the efficacy of our resource-adaptive approach for practical PBNM systems

Rule-Based Intrusion Detection System for SCADA Networks

Increased complexity and interconnectivity of Supervisory Control and Data Acquisition (SCADA) systems in Smart Grids potentially means greater susceptibility to malicious attackers. SCADA systems with legacy communication infrastructure have inherent cyber-security vulnerabilities as these systems were originally designed with little consideration of cyber threats. In order to improve cyber-security of SCADA networks, this paper presents a rule-based Intrusion Detection System (IDS) using a Deep Packet Inspection (DPI) method, which includes signature-based and model-based approaches tailored for SCADA systems. The proposed signature-based rules can accurately detect several known suspicious or malicious attacks. In addition, model-based detection is proposed as a complementary method to detect unknown attacks. Finally, proposed intrusion detection approaches for SCADA networks are implemented and verified using a ruled based method.

Scotland, Renewable Energy and the Independence Debate: Will Head or Heart Rule the Roost?

Political support for renewable energy development, especially offshore renewables, is particularly conspicuous in Scotland and is a centrepiece of SNP policy. However, this is built on something of a paradox because, put simply, without the subsidies paid by electricity consumers in the rest of the UK, the Scottish Government's ambitious targets for renewable energy would be politically unachievable. We argue in this paper that if Scotland does move towards independence, then there could be little reason for the UK to continue paying (much) of the subsidies since the resulting renewable generation would no longer contribute towards UK renewable energy targets. We suggest that the potential scenarios, and their implications, needs to be far better considered in the arguments around the Scottish constitutional position and the broader aims of UK energy policy.

Private rule-making and European governance - issues of legitimacy

Private rule-making is widely discussed as supporting institutional policy making and legislation at EU level. The following argues for a different perspective on private actor rule-making, focusing on the autonomy of social realms within which self-governance may be possible. From this perspective, private actor rule-making is considered as a potential gain in self-determination. Substantive autonomy and enhanced self-determination of all those affected are considered as prerequisites for accepting rules made by private actors. Opening the field for discussion, some manifestations of (envisaged) private rule-making at EU level are explored and discussed as to whether they should be accepted as legitimate forms of self-governance.

An Improvement of IP Address Lookup based on Rule Filter Analysis

Multi-bit trie is a popular approach performing the longest prefix matching for packet classification. However, it requires a long lookup time and inefficiently consumes memory space. This paper presents an in-depth study of different variations of multi-bit trie for IP address lookup. Our main aim is to study a method of data structure which reduces memory space. The proposed approach has been implemented using the label method in two approaches. Both methods present better results regarding lookup speed, update time and memory bit consumptions.

Stress in parents of children born very preterm is predicted by child externalising behaviour and parent coping at age 7 years

Objective: To examine factors which predict parenting stress in a longitudinal cohort of children born very preterm seen at age seven years.
Methods: We recruited 100 very preterm (< 32 weeks GA) child-parent dyads and a control group of 50 term-born dyads born between 2001 and 2004 with follow-up at seven years. Parents completed the Parenting Stress Index, Ways of Coping Questionnaire, Child Behavior Check List, Beck Depression Inventory and the State Trait Anxiety Inventory questionnaires. Child IQ was assessed using the Wechsler Intelligence Scale-IV.
Results: After controlling for maternal education, parents of preterm children (95% CI, 111.1 to 121.4) scored higher (p = .027) on the Parenting Stress Index than term born controls (95% CI, 97.8 to 113.2). Regression analyses showed that child externalising behaviour, sex and parent escape/avoidance coping style, predicted higher parenting stress in the preterm group. Parents of preterm girls expressed higher levels of stress than those of boys. 
Conclusions: Maladaptive coping strategies contribute to greater stress in parents of very preterm children. Our findings suggest that these parents need support for many years after birth of a very preterm infant.

Lung consequences in adults born prematurely

Although survival has improved significantly in recent years, prematurity remains a major cause of infant and childhood mortality and morbidity. Preterm births (<37 weeks of gestation) account for 8% of live births representing >50 000 live births each year in the UK. Preterm birth, irrespective of whether babies require neonatal intensive care, is associated with increased respiratory symptoms, partially reversible airflow obstruction and abnormal thoracic imaging in childhood and in young adulthood compared with those born at term. Having failed to reach their optimal peak lung function in early adulthood, there are as yet unsubstantiated concerns of accelerated lung function decline especially if exposed to noxious substances leading to chronic respiratory illness; even if the rate of decline in lung function is normal, the threshold for respiratory symptoms will be crossed early. Few adult respiratory physicians enquire about the neonatal period in their clinical practice. The management of these subjects in adulthood is largely evidence free. They are often labelled as asthmatic although the underlying mechanisms are likely to be very different. Smoking cessation, maintaining physical fitness, annual influenza immunisation and a general healthy lifestyle should be endorsed irrespective of any symptoms. There are a number of clinical and research priorities to maximise the quality of life and lung health in the longer term not least understanding the underlying mechanisms and optimising treatment, rather than extrapolating from other airway diseases.

The Rule of the Land

A study of Ireland's border.

Lower resting energy expenditure and fat oxidation in Native American and Hispanic infants born to mothers with diabetes

OBJECTIVE: To determine whether exposure to diabetes in utero affects resting energy expenditure (REE) and fuel oxidation in infants.

STUDY DESIGN: At 35 ± 5 days after birth, body composition and REE were measured in full-term offspring of Native American and Hispanic women with either well-controlled diabetes (13 girls, 11 boys) or normal healthy pregnancies (18 girls, 17 boys).

RESULTS: Control of dysglycemia during gestation in the women with diabetes mellitus met current clinical standards, shown by average glycated hemoglobin (5.9 ± 0.2%; 40.6 ± 2.3 mmol/mol). Infant body mass (offspring of women with diabetes: 4.78 ± 0.13, control offspring: 4.56 ± 0.08 kg) and body fatness (offspring of women with diabetes: 25.2 ± 0.6, control offspring: 24.2 ± 0.5 %) did not differ between groups. REE, adjusted for lean body mass, was 14% lower in offspring of women with diabetes (41.7 ± 2.3 kJ/h) than control offspring (48.6 ± 2.0, P = .025). Fat oxidation was 26% lower in offspring of women with diabetes (0.54 ± 0.05 g/h) than control offspring (0.76 ± 0.04, P < .01) but carbohydrate oxidation did not differ. Thus, fat oxidation accounted for a lower fraction of REE in the offspring of women with diabetes (49 ± 4%) than control offspring (60 ± 3%, P = .022). Mothers with diabetes were older and had higher prepregnancy body mass index than control mothers.

CONCLUSIONS: Well-controlled maternal diabetes did not significantly affect body mass or composition of offspring at 1-month old. However, infants with mothers with diabetes had reduced REE and fat oxidation, which could contribute to adiposity and future disease risk. Further studies are needed to assess the impact differences in age and higher prepregnancy body mass index.

Fast Rule Mining over Multi-dimensional Windows

Association rule mining is an indispensable tool for discovering
insights from large databases and data warehouses.
The data in a warehouse being multi-dimensional, it is often
useful to mine rules over subsets of data defined by selections
over the dimensions. Such interactive rule mining
over multi-dimensional query windows is difficult since rule
mining is computationally expensive. Current methods using
pre-computation of frequent itemsets require counting
of some itemsets by revisiting the transaction database at
query time, which is very expensive. We develop a method
(RMW) that identifies the minimal set of itemsets to compute
and store for each cell, so that rule mining over any
query window may be performed without going back to the
transaction database. We give formal proofs that the set of
itemsets chosen by RMW is sufficient to answer any query
and also prove that it is the optimal set to be computed
for 1 dimensional queries. We demonstrate through an extensive
empirical evaluation that RMW achieves extremely
fast query response time compared to existing methods, with
only moderate overhead in pre-computation and storage