Uncertainty in estimating the performance of solar thermal systems

The scope of this article is to present a methodology for the estimation of the uncertainty characterizing the energy performance of solar domestic hot water systems. The work concentrates on the uncertainty characterizing the expected annual energy output, as calculated through tests implemented according to the valid international standards. In order to cope with difficulties related to the algorithmic character of the measurement model, which cannot be explicitly formulated, Monte-Carlo simulation techniques are implemented. The component of uncertainty associated with measurement errors is estimated, on the basis of the metrological quality anticipated by the relevant testing standards. Errors due to imperfections of the energy model used through the test are also counted in, as well as uncertainties attributed to the variability of meteorological conditions. The proposed uncertainty analysis allows the realistic assessment of the actual energy provided to the user by a solar domestic hot water system. Implementation of the proposed methodology for a typical system leads to an expanded uncertainty in the order of 9% for the expected annual energy output.     

Serverless streaming for emerging media: towards 5G network-driven cost optimization

Multimedia Tools and Applications - Immersive 3D media is an emerging type of media that captures, encodes and reconstructs the 3D appearance of people and objects, with applications in...     

Data compression in interactive colour graphics using microprocessors

This paper describes the implementation of a data compression scheme for an interactive colour graphics terminal in which the storage requirement is reduced in comparison with a full 1:1 bit map system. The paper also discusses the effect of data compression on the system design. Compression is performed in software using a microprocessor, and decompression of the picture code into raster scan form is performed in real time by hardware. The technique allows complex graphics pictures to be displayed at low cost.     

Analysis and biochemistry of blood folate

Although the analysis of low plasma concentrations of 5-methyltetrahydrofolate by several specific HPLC methods has been reported, considerably fewer routine chromatographic techniques exist for the analysis of specific folate coenzymes in the erythrocyte where a nonspecific bioassay indicates that the vitamin achieves a level 10 times higher than that in plasma. By using three separate folypolyglutamate deconjugation procedures and combining an extraction technique which adequately preserves all native folate coenzymes with an HPLC technique utilizing fluorescence, diode array, and off-line radioassay detection capable of resolving all crucial native folates in their monoglutamyl forms, we were unable to demonstrate levels of 5-methyltetrahydrofolate in whole blood hemolysate beyond what might be expected from the plasma component. While the exact nature of erythrocyte folate could not be ascertained, we provide evidence that a proportion of it may exist at the formyl level of oxidation. The complex pH and enzymatic interrelationship between folate coenzymes at the formyl oxidation level is discussed in terms of our extraction technique and findings, as well as in a broader biological context. This paper also describes a simple acid precipitation technique for measuring plasma 5-methyltetrahydrofolate, as well as providing comprehensive data on the chromatographic behavior of all the folylmonoglutamates in reversed-phase and weak anion-exchange modes, including useful spectral data for optimizing detection parameters and identifying individual coenzymes. 10-Formyltetrahydrofolate and 5-methyltetrahydrofolate are the two most important one-carbon-substituted folate coenzymes. 10-Formyltetrahydrofolate is unavailable commercially, probably due to its instability. We chart the chemical synthesis of this important coenzyme and show that it and what is thought to be 5,10-hydroxymethylenetetrahydrofolate are actually minor products compared to the parent 5,10-methenyltetrahydrofolate and the ultimate reaction product, 5-formyltetrahydrofolate. Since intraerythrocyte folate binds to a specific hemoglobin site, we ascertained the total number of binding sites on hemoglobin (Bmax) and the equilibrium dissociation constant (Kd) for 5-methyltetrahydrofolate, 5-formyltetrahydrofolate, and the antimetabolite methotrexate. Binding affinities were consistent with a low-affinity, low-capacity interaction for all three. It was demonstrated that hemoglobin has a greater affinity for 5-methyltetrahydrofolate than for the other folate derivatives (Kd = 1.2 x 10(-3) M), while rather surprisingly, methotrexate had a higher affinity for hemoglobin than did 5-formyltetrahydrofolate (Kd = 2.5 x 10(-3) and 3.7 x 10(-2) M, respectively.     

A novel Effective Capacity-based framework for providing statistical QoS guarantees in IEEE 802.11 WLANs

This article proposes a performance model of the IEEE 802.11 MAC layer that employs the notion of Effective Capacity. In particular, the paper establishes that an IEEE 802.11 mobile station can be regarded as a Semi-Markovian bursty server of the On/Off type, with known distributions for the On and Off periods, and subsequently applies known results for Semi-Markovian models to derive the Effective Capacity function of this On/Off server. The general Effective Bandwidth/Capacity theory can then be used for computing buffer overflow probabilities and for employing simple traffic control policies to enforce related QoS guarantees. The policies guarantee a soft bound on the buffer overflow probability and are suitable for real-time traffic control over WLANs. The Effective Capacity model of IEEE 802.11 stations is originally developed by assuming that the other competing stations are saturated. This is a conservative assumption that becomes very accurate in a highly loaded network. Subsequently, the model is adapted to encompass lightly loaded networks as well. In the adapted model, each mobile station directly measures a few model parameters, instead of calculating them on the basis of the saturation assumption, and uses these measurements in the computation of its Effective Capacity function. The theoretical results are checked against simulations, validating the appropriateness of the model.     

A decentralized honeypot for IoT Protocols based on Android devices

International Journal of Information Security - The exponential growth of internet connected devices in this past year has led to a significant increase in IoT targeted attacks. The lack of proper...     

A model-driven software engineering workflow and tool architecture for servitised manufacturing

Modern manufacturing businesses increasingly engage in servitisation, by offering advanced services along with physical products, and creating “product–service systems”. Information Technology infrastructures, and especially software, are a critical part of modern service provision. However, software development in this context has not been investigated and there are no development methods or tools specifically adapted to the task of creating software for servitised businesses in general, or manufacturing in particular. In this paper, we define the requirements for software engineering in servitised manufacturing. Based on these, we describe a model-driven software engineering workflow for servitised manufacturing, supporting both structural and behavioural modelling of the service system. Furthermore, we elaborate on the architecture of an appropriate model-driven Integrated Development Environment (IDE). The proposed workflow and a prototype implementation of the IDE were evaluated in a set of industrial pilots, demonstrating improved communication and collaboration between participants in the software engineering process.     

Towards an integrated learning analytics framework for quality perceptions in higher education: a 3-tier content,process, engagement model for key performance indicators

ABSTRACT

The integration of quality in Higher Education is multidimensional. Higher Education administration, programs, procedures and evaluation provide the context for the application and diffusion of quality metrics. Our research intends to provide a holistic discussion on Key Performance Indicators (KPIs) related to quality in Higher Education. The analysis of recent literature resulted in the construction of two research tools. The first one is related to a structured agenda for a qualitative interview targeted at Higher Education administrators. The second is related to a quantitative research model that analyses the relations of various quality factors. We provide a mapping of quality perceptions as discussed in previous work and we construct a theoretical model for the affordances of scholars to this perception. The research design includes interviews with academic administrators and teaching staff involved in the creation of academic programmes and courses. The main contribution is an analytic discussion of their perceptions about quality that updates significantly contemporary literature in interesting dimensions. Three-dimensional value space with twenty factors is presented. The outcomes of this research work are used as input for our quantitative study. In fact, a list of 20 quality factors is exploited in three main dimensions of learning analytics namely: content, process and engagement. Key Performance Indicators are highlighted for further investigation.