Trade-off between minimum number of wireless sensors and the accuracy of temperature profile in cold rooms: a model-based framework

Evaluation of temperature distribution in cold rooms is an important consideration in the design of food storage solutions. Two common approaches used in both industry and academia to address this question are the deployment of wireless sensors, and modelling with Computational Fluid Dynamics (CFD). However, for a realworld evaluation of temperature distribution in a cold room, both approaches have their limitations. For wireless sensors, it is economically unfeasible to carry out large-scale deployment (to obtain a high resolution of temperature distribution); while with CFD modelling, it is usually not accurate enough to get a reliable result. In this paper, we propose a model-based framework which combines the wireless sensors technique with CFD modelling technique together to achieve a satisfactory trade-off between minimum number of wireless sensors and the accuracy of temperature profile in cold rooms. A case study is presented to demonstrate the usability of the framework.

Biodiscovery of natural products from microbes associated with Irish coastal sponges

Marine sponges have been an abundant source of new metabolites in recent years. The symbiotic association between the bacteria and the sponge has enabled scientists to access the bacterial diversity present within the bacterial/sponge ecosystem. This study has focussed on accessing the bacterial diversity in two Irish coastal marine sponges, namely Amphilectus fucorum and Eurypon major. A novel species from the genus Aquimarina has been isolated from the sponge Amphilectus fucorum. The study has also resulted in the identification of an α–Proteobacteria, Pseudovibrio sp. as a potential producer of antibiotics. Thus a targeted based approach to specifically cultivate Pseudovibrio sp. may prove useful for the development of new metabolites from this particular genus. Bacterial isolates from the marine sponge Haliclona simulans were screened for anti–fungal activity and one isolate namely Streptomyces sp. SM8 displayed activity against all five fungal strains tested. The strain was also tested for anti–bacterial activity and it showed activity against both against B. subtilis and P. aeruginosa. Hence a combinatorial approach involving both biochemical and genomic approaches were employed in an attempt to identify the bioactive compounds with these activities which were being produced by this strain. Culture broths from Streptomyces sp. SM8 were extracted and purified by various techniques such as reverse–phase HPLC, MPLC and ash chromatography. Anti–bacterial activity was observed in a fraction which contained a hydroxylated saturated fatty acid and also another compound with a m/z 227 but further structural elucidation of these compounds proved unsuccessful. The anti–fungal fractions from SM8 were shown to contain antimycin–like compounds, with some of these compounds having different retention times from that of an antimycin standard. A high–throughput assay was developed to screen for novel calcineurin inhibitors using yeast as a model system and three putative bacterial extracts were found to be positive using this screen. One of these extracts from SM8 was subsequently analysed using NMR and the calcineurin inhibition activity was con rmed to belong to a butenolide type compound. A H. simulans metagenomic library was also screened using the novel calcineurin inhibitor high–throughput assay system and eight clones displaying putative calcineurin inhibitory activity were detected. The clone which displayed the best inhibitory activity was subsequently sequenced and following the use of other genetic based approaches it became clear that the inhibition was being caused by a hypothetical protein with similarity to a hypothetical Na+/Ca2+ exchanger protein. The Streptomyces sp. SM8 genome was sequenced from a fragment library using Roche 454 pyrosequencing technology to identify potential secondary metabolism clusters. The draft genome was annotated by IMG/ER using the Prodigal pipeline. The Whole Genome Shotgun project has been deposited at DDBJ/EMBL/GenBank under the accession AMPN00000000. The genome contains genes which appear to encode for several polyketide synthases (PKS), non–ribosomal peptide synthetases (NRPS), terpene and siderophore biosynthesis and ribosomal peptides. Transcriptional analyses led to the identification of three hybrid clusters of which one is predicted to be involved in the synthesis of antimycin, while the functions of the others are as yet unknown. Two NRPS clusters were also identified, of which one may be involved in gramicidin biosynthesis and the function of the other is unknown. A Streptomyces sp. SM8 NRPS antC gene knockout was constructed and extracts from the strain were shown to possess a mild anti–fungal activity when compared to the SM8 wild–type. Subsequent LCMS analysis of antC mutant extracts confirmed the absence of the antimycin in the extract proving that the observed anti–fungal activity may involve metabolite(s) other than antimycin. Anti–bacterial activity in the antC gene knockout strain against P. aeruginosa was reduced when compared to the SM8 wild–type indicating that antimycin may be contributing to the observed anti–bacterial activity in addition to the metabolite(s) already identified during the chemical analyses. This is the first report of antimycins exhibiting anti–bacterial activity against P. aeruginosa. One of the hybrid clusters potentially involved in secondary metabolism in SM8 that displayed high and consistent levels of gene–expression in RNA studies was analysed in an attempt to identify the metabolite being produced by the pathway. A number of unusual features were observed following bioinformatics analysis of the gene sequence of the cluster, including a formylation domain within the NRPS cluster which may add a formyl group to the growing chain. Another unusual feature is the lack of AT domains on two of the PKS modules. Other unusual features observed in this cluster is the lack of a KR domain in module 3 of the cluster and an aminotransferase domain in module 4 for which no clear role has been hypothesised.

Usability-enhanced coordination design of geovisualisations to communicate coastal flood risk information

For at least two millennia and probably much longer, the traditional vehicle for communicating geographical information to end-users has been the map. With the advent of computers, the means of both producing and consuming maps have radically been transformed, while the inherent nature of the information product has also expanded and diversified rapidly. This has given rise in recent years to the new concept of geovisualisation (GVIS), which draws on the skills of the traditional cartographer, but extends them into three spatial dimensions and may also add temporality, photorealistic representations and/or interactivity. Demand for GVIS technologies and their applications has increased significantly in recent years, driven by the need to study complex geographical events and in particular their associated consequences and to communicate the results of these studies to a diversity of audiences and stakeholder groups. GVIS has data integration, multi-dimensional spatial display advanced modelling techniques, dynamic design and development environments and field-specific application needs. To meet with these needs, GVIS tools should be both powerful and inherently usable, in order to facilitate their role in helping interpret and communicate geographic problems. However no framework currently exists for ensuring this usability. The research presented here seeks to fill this gap, by addressing the challenges of incorporating user requirements in GVIS tool design. It starts from the premise that usability in GVIS should be incorporated and implemented throughout the whole design and development process. To facilitate this, Subject Technology Matching (STM) is proposed as a new approach to assessing and interpreting user requirements. Based on STM, a new design framework called Usability Enhanced Coordination Design (UECD) is ten presented with the purpose of leveraging overall usability of the design outputs. UECD places GVIS experts in a new key role in the design process, to form a more coordinated and integrated workflow and a more focused and interactive usability testing. To prove the concept, these theoretical elements of the framework have been implemented in two test projects: one is the creation of a coastal inundation simulation for Whitegate, Cork, Ireland; the other is a flooding mapping tool for Zhushan Town, Jiangsu, China. The two case studies successfully demonstrated the potential merits of the UECD approach when GVIS techniques are applied to geographic problem solving and decision making. The thesis delivers a comprehensive understanding of the development and challenges of GVIS technology, its usability concerns, usability and associated UCD; it explores the possibility of putting UCD framework in GVIS design; it constructs a new theoretical design framework called UECD which aims to make the whole design process usability driven; it develops the key concept of STM into a template set to improve the performance of a GVIS design. These key conceptual and procedural foundations can be built on future research, aimed at further refining and developing UECD as a useful design methodology for GVIS scholars and practitioners.

Reasoning with imprecise trade-offs in decision making under certainty and uncertainty

In many real world situations, we make decisions in the presence of multiple, often conflicting and non-commensurate objectives. The process of optimizing systematically and simultaneously over a set of objective functions is known as multi-objective optimization. In multi-objective optimization, we have a (possibly exponentially large) set of decisions and each decision has a set of alternatives. Each alternative depends on the state of the world, and is evaluated with respect to a number of criteria. In this thesis, we consider the decision making problems in two scenarios. In the first scenario, the current state of the world, under which the decisions are to be made, is known in advance. In the second scenario, the current state of the world is unknown at the time of making decisions. For decision making under certainty, we consider the framework of multiobjective constraint optimization and focus on extending the algorithms to solve these models to the case where there are additional trade-offs. We focus especially on branch-and-bound algorithms that use a mini-buckets algorithm for generating the upper bound at each node of the search tree (in the context of maximizing values of objectives). Since the size of the guiding upper bound sets can become very large during the search, we introduce efficient methods for reducing these sets, yet still maintaining the upper bound property. We define a formalism for imprecise trade-offs, which allows the decision maker during the elicitation stage, to specify a preference for one multi-objective utility vector over another, and use such preferences to infer other preferences. The induced preference relation then is used to eliminate the dominated utility vectors during the computation. For testing the dominance between multi-objective utility vectors, we present three different approaches. The first is based on a linear programming approach, the second is by use of distance-based algorithm (which uses a measure of the distance between a point and a convex cone); the third approach makes use of a matrix multiplication, which results in much faster dominance checks with respect to the preference relation induced by the trade-offs. Furthermore, we show that our trade-offs approach, which is based on a preference inference technique, can also be given an alternative semantics based on the well known Multi-Attribute Utility Theory. Our comprehensive experimental results on common multi-objective constraint optimization benchmarks demonstrate that the proposed enhancements allow the algorithms to scale up to much larger problems than before. For decision making problems under uncertainty, we describe multi-objective influence diagrams, based on a set of p objectives, where utility values are vectors in Rp, and are typically only partially ordered. These can be solved by a variable elimination algorithm, leading to a set of maximal values of expected utility. If the Pareto ordering is used this set can often be prohibitively large. We consider approximate representations of the Pareto set based on ϵ-coverings, allowing much larger problems to be solved. In addition, we define a method for incorporating user trade-offs, which also greatly improves the efficiency.

Non-product related environmental process and production methods (NPR-PPMs): a view from international trade law and international environmental governance

The primary aim of this thesis is to analyse legal and governance issues in the use of Environmental NPR-PPMs, particularly those aiming to promote sustainable practices or to protect natural resources. NPR-PPMs have traditionally been thought of as being incompatible with the rules of the World Trade Organization (WTO). However, the issue remains untouched by WTO adjudicatory bodies. One can suggest that WTO adjudicatory bodies may want to leave this issue to the Members, but the analysis of the case law also seems to indicate that the question of legality of NPR-PPMs has not been brought ‘as such’ in dispute settlement. This thesis advances the argument that despite the fact that the legal status of NPR-PPMs remains unsettled, during the last decades adjudicatory bodies have been scrutinising environmental measures based on NPR-PPMs just as another expression of the regulatory autonomy of the Members. Though NPR-PPMs are regulatory choices associated with a wide range of environmental concerns, trade disputes giving rise to questions related to the legality of process-based measures have been mainly associated with the protection of marine wildlife (i.e., fishing techniques threatening or affecting animal species). This thesis argues that environmental objectives articulated as NPR-PPMs can indeed qualify as legitimate objectives both under the GATT and the TBT Agreement. However, an important challenge for the their compatibility with WTO law relate to aspects associated with arbitrary or unjustifiable discrimination. In the assessment of discrimination procedural issues play an important role. This thesis also elucidates other important dimensions to the issue from the perspective of global governance. One of the arguments advanced in this thesis is that a comprehensive analysis of environmental NPR-PPMs should consider not only their role in what is regarded as trade barriers (governmental and market-driven), but also their significance in global objectives such as the transition towards a green economy and sustainable patterns of consumption and production.