Dynamic pricing model and algorithm for perishable products with fuzzy demand (ABS 2* Journal)

This paper studies the dynamic pricing problem of selling fixed stock of perishable items over a finite horizon, where the decision maker does not have the necessary historic data to estimate the distribution of uncertain demand, but has imprecise information about the quantity demand. We model this uncertainty using fuzzy variables. The dynamic pricing problem based on credibility theory is formulated using three fuzzy programming models, viz.: the fuzzy expected revenue maximization model, a-optimistic revenue maximization model, and credibility maximization model. Fuzzy simulations for functions with fuzzy parameters are given and embedded into a genetic algorithm to design a hybrid intelligent algorithm to solve these three models. Finally, a real-world example is presented to highlight the effectiveness of the developed model and algorithm.

Robust Dynamic Pricing Over Infinite Horizon in The Presence of Model Uncertainty( 2* Journal)

This paper studies a problem of dynamic pricing faced by a retailer with limited inventory, uncertain about the demand rate model, aiming to maximize expected discounted revenue over an infinite time horizon. The retailer doubts his demand model which is generated by historical data and views it as an approximation. Uncertainty in the demand rate model is represented by a notion of generalized relative entropy process, and the robust pricing problem is formulated as a two-player zero-sum stochastic differential game. The pricing policy is obtained through the Hamilton-Jacobi-Isaacs (HJI) equation. The existence and uniqueness of the solution of the HJI equation is shown and a verification theorem is proved to show that the solution of the HJI equation is indeed the value function of the pricing problem. The results are illustrated by an example with exponential nominal demand rate.

A new self-learning TLBO algorithm for RBF neural modelling of batteries in electric vehicles

One of the main purposes of building a battery model is for monitoring and control during battery charging/discharging as well as for estimating key factors of batteries such as the state of charge for electric vehicles. However, the model based on the electrochemical reactions within the batteries is highly complex and difficult to compute using conventional approaches. Radial basis function (RBF) neural networks have been widely used to model complex systems for estimation and control purpose, while the optimization of both the linear and non-linear parameters in the RBF model remains a key issue. A recently proposed meta-heuristic algorithm named Teaching-Learning-Based Optimization (TLBO) is free of presetting algorithm parameters and performs well in non-linear optimization. In this paper, a novel self-learning TLBO based RBF model is proposed for modelling electric vehicle batteries using RBF neural networks. The modelling approach has been applied to two battery testing data sets and compared with some other RBF based battery models, the training and validation results confirm the efficacy of the proposed method.

Non-parametric bill of quantities estimation of concrete road bridges' superstructure: an artificial neural networks approach

Bridge construction responds to the need for environmentally friendly design of motorways and facilitates the passage through sensitive natural areas and the bypassing of urban areas. However, according to numerous research studies, bridge construction presents substantial budget overruns. Therefore, it is necessary early in the planning process for the decision makers to have reliable estimates of the final cost based on previously constructed projects. At the same time, the current European financial crisis reduces the available capital for investments and financial institutions are even less willing to finance transportation infrastructure. Consequently, it is even more necessary today to estimate the budget of high-cost construction projects -such as road bridges- with reasonable accuracy, in order for the state funds to be invested with lower risk and the projects to be designed with the highest possible efficiency. In this paper, a Bill-of-Quantities (BoQ) estimation tool for road bridges is developed in order to support the decisions made at the preliminary planning and design stages of highways. Specifically, a Feed-Forward Artificial Neural Network (ANN) with a hidden layer of 10 neurons is trained to predict the superstructure material quantities (concrete, pre-stressed steel and reinforcing steel) using the width of the deck, the adjusted length of span or cantilever and the type of the bridge as input variables. The training dataset includes actual data from 68 recently constructed concrete motorway bridges in Greece. According to the relevant metrics, the developed model captures very well the complex interrelations in the dataset and demonstrates strong generalisation capability. Furthermore, it outperforms the linear regression models developed for the same dataset. Therefore, the proposed cost estimation model stands as a useful and reliable tool for the construction industry as it enables planners to reach informed decisions for technical and economic planning of concrete bridge projects from their early implementation stages.

Relationship between work stress and body mass index among 45,810 female and male employees

Objective: The proportion of overweight and obese people has grown rapidly, and obesity has now been widely recognized as an important public health problem. At the came time, stress has increased in working life. The 2 problems could be connected if work stress promotes unhealthy eating habits and sedentary behavior and thereby contributes to weight gain. This study explored the association between work stress and body mass index (BMI; kg/m(2)). Methods: We used cross-sectional questionnaire data obtained from 45,810 female and male employees participating in the ongoing Finnish Public Sector Cohort Study. We constructed individual-level scores, as well as occupational- and organizational-level aggregated scores for work stress, as indicated by the demand/control model and the effort-reward imbalance model. Linear regression analyses were stratified by sex and socioeconomic status (SES) and adjusted for age, marital status, job contract, smoking, alcohol consumption, physical activity, and negative affectivity. Results: The results with the aggregated scores showed that lower job control, higher job strain, and higher effort-reward imbalance were associated with a higher BMI. In men, lower job demands were also associated with a higher BMI. These associations were not accounted for by SES, although an additional adjustment for SES attenuated the associations. The results obtained with the individual-level scores were in the same direction, but the relationships were weaker than those obtained with the aggregated scores. Conclusions: This study shows a weak association between work stress and BMI.

Merula

Merula is a thirty-minute work for bass flute and electronics, commissioned by Icelandic flautist Kolbeinn Bjarnason. The premiere took place in the Belfast Festival at Queen’s in November 2012. A recording will be made in 2014. Further performances in Iceland, Norway and Poland are anticipated in 2014-15. I have given a research seminar on this work at Queen’s and will deliver it again at the University of Oxford during 2013-14.

Research Goals
1) To develop an effective means of notating live electronics in a manner that would sustain the work's performance history beyond the current generation of software
2) To apply the techniques of transcription and spectralism used in my composition, Perseid, using birdsongs as source material
3) To explore the problem of sustaining large-scale form in music that is primarily fast
4) To facilitate the emergence of the solo bass flute as an important solo instrument through the completion of a new large-scale work

Methodology
• Methodologies employed in this project included sound recording, sound analysis and transcription, extensive precompositional sketching, electroacoustic techniques of sound manipulation, designing complex live processes of sound transformation and spatialisation
• A considerable part of this work was collaboration with the flautist, both in SARC and Iceland. Mr. Bjarnason was involved all stages of the work, frequently recording source materials and helping to ensure the idiomatic nature of the flute writing.
• Developing a means of notating the live electronics. Building on a model suggested by Pierre Boulez in Anthemes 2 (1998), the score of this work includes a technical manual that describes electronic processes in a manner that can be reprogrammed in subsequent generations of software. Combined with a system of notations employed in the full score, the technical manual will enable this composition to be performed by a wide range of performers and technical teams, with appropriately identical results.

Of no fixed form: The Irish Pavilion at Venice 2014 and beyond

This paper explores the theme of exhibiting architectural research through a particular example, the development of the Irish pavilion for the 14th architectural biennale, Venice 2014. Responding to Rem Koolhaas’s call to investigate the international absorption of modernity, the Irish pavilion became a research project that engaged with the development of the architectures of infrastructure in Ireland in the twentieth and twenty-first centuries. Central to this proposition was that infrastructure is simultaneously a technological and cultural construct, one that for Ireland occupied a critical position in the building of a new, independent post-colonial nation state, after 1921.

Presupposing infrastructure as consisting of both visible and invisible networks, the idea of a matrix become a central conceptual and visual tool in the curatorial and design process for the exhibition and pavilion. To begin with this was a two-dimensional grid used to identify and order what became described as a series of ten ‘infrastructural episodes’. These were determined chronologically across the decades between 1914 and 2014 and their spatial manifestations articulated in terms of scale: micro, meso and macro. At this point ten academics were approached as researchers. Their purpose was twofold, to establish the broader narratives around which the infrastructures developed and to scrutinise relevant archives for compelling visual material. Defining the meso scale as that of the building, the media unearthed was further filtered and edited according to a range of categories – filmic/image, territory, building detail, and model – which sought to communicate the relationship between the pieces of architecture and the larger systems to which they connect. New drawings realised by the design team further iterated these relationships, filling in gaps in the narrative by providing composite, strategic or detailed drawings.

Conceived as an open-ended and extendable matrix, the pavilion was influenced by a series of academic writings, curatorial practices, artworks and other installations including: Frederick Kiesler’s City of Space (1925), Eduardo Persico and Marcello Nizzoli’s Medaglio d’Oro room (1934), Sol Le Witt’s Incomplete Open Cubes (1974) and Rosalind Krauss’s seminal text ‘Grids’ (1979). A modular frame whose structural bays would each hold and present an ‘episode’, the pavilion became both a visual analogue of the unseen networks embodying infrastructural systems and a reflection on the predominance of framed structures within the buildings exhibited. Sharing the aspiration of adaptability of many of these schemes, its white-painted timber components are connected by easily-dismantled steel fixings. These and its modularity allow the structure to be both taken down and re-erected subsequently in different iterations. The pavilion itself is, therefore, imagined as essentially provisional and – as with infrastructure – as having no fixed form. Presenting archives and other material over time, the transparent nature of the space allowed these to overlap visually conveying the nested nature of infrastructural production. Pursuing a means to evoke the qualities of infrastructural space while conveying a historical narrative, the exhibition’s termination in the present is designed to provoke in the visitor, a perceptual extension of the matrix to engage with the future.

On the Ontological Quality and Logical Quality of Conceptual-Modeling Grammars: The Need for a Dual Perspective

A core activity in information systems development involves building a conceptual model of the domain that an information system is intended to support. Such models are created using a conceptual-modeling (CM) grammar. Just as high-quality conceptual models facilitate high-quality systems development, high-quality CM grammars facilitate high-quality conceptual modeling. This paper provides a new perspective on ways to improve the quality of the semantics of CM grammars. For many years, the leading approach to this topic has relied on ontological theory. We show, however, that the ontological approach captures only half the story. It needs to be coupled with a logical approach. We explain how the ontological quality and logical quality of CM grammars interrelate. Furthermore, we outline three contributions that a logical approach can make to evaluating the quality of CM grammars: a means of seeing some familiar conceptual-modeling problems in simpler ways; the illumination of new problems; and the ability to prove the benefit of modifying existing CM grammars in particular ways. We demonstrate these benefits in the context of the Entity-Relationship grammar. More generally, our paper opens up a new area of research with many opportunities for future research and practice.

Real-time estimation of battery internal temperature based on a simplified thermoelectric model

Li-ion batteries have been widely used in the EVs, and the battery thermal management is a key but challenging part of the battery management system. For EV batteries, only the battery surface temperature can be measured in real-time. However, it is the battery internal temperature that directly affects the battery performance, and large temperature difference may exist between surface and internal temperatures, especially in high power demand applications. In this paper, an online battery internal temperature estimation method is proposed based on a novel simplified thermoelectric model. The battery thermal behaviour is first described by a simplified thermal model, and battery electrical behaviour by an electric model. Then, these two models are interrelated to capture the interactions between battery thermal and electrical behaviours, thus offer a comprehensive description of the battery behaviour that is useful for battery management. Finally, based on the developed model, the battery internal temperature is estimated using an extended Kalman filter. The experimental results confirm the efficacy of the proposed method, and it can be used for online internal temperature estimation which is a key indicator for better real-time battery thermal management.

Building on IUCN regional red lists to produce lists of species of conservation priority: a model with Irish bees

A World Conservation Union (IUCN) regional red list is an objective assessment of regional extinction risk and is not the same as a list of conservation priority species. Recent research reveals the widespread, but incorrect, assumption that IUCN Red List categories represent a hierarchical list of priorities for conservation action. We developed a simple eight-step priority-setting process and applied it to the conservation of bees in Ireland. Our model is based on the national red list but also considers the global significance of the national population; the conservation status at global, continental, and regional levels; key biological, economic, and societal factors; and is compatible with existing conservation agreements and legislation. Throughout Ireland, almost one-third of the bee fauna is threatened (30 of 100 species), but our methodology resulted in a reduced list of only 17 priority species. We did not use the priority species list to broadly categorize species to the conservation action required; instead, we indicated the individual action required for all threatened, near-threatened, and data-deficient species on the national red list based on the IUCN's conservation-actions template file. Priority species lists will strongly influence prioritization of conservation actions at national levels, but action should not be exclusive to listed species. In addition, all species on this list will not necessarily require immediate action. Our method is transparent, reproducible, and readily applicable to other taxa and regions.