The untethered facilities manager

Facilities managers have a host of skills to sustain the functionality of complex buildings, often not provided by them directly, but by the team of specialists they draw upon to effectively plan for the future, whether the resource be money, space or technology. Building intelligence presents a challenge in terms of understanding a wholly new approach to the building management. This paper asks if the intelligent building of today meets the needs of the facilities management team. Does it enable them to manage their asset more effectively? New technologies are converging that will enable a radically new approach to maintenance, enabling remote smart sensing or remote condition based monitoring (CBM). Some of the design and economic issues that arise from this radically new approach to managing built assets are highlighted and the possibilities for a maintenance environment, where wires, power cables and data loggers become a thing of the past, is described.

Biomechanics of a branch-stem junction in softwood

Direct measurement of strain field in a mechanically loaded Norway spruce branch-stem junction was performed by means of electronic speckle pattern analysis. Results were compared with strain distribution in a polyester cast of identical shape as the branch-stem junction, and a simplified polyester model consisting of two half-cylinders. Compared to polyester models, the branch-stem junction was characterised by a very homogeneous distribution of strain, which can be interpreted as a homogeneous distribution of stress in terms of fraction of material strength. This optimised transfer of mechanical load from the branch to the stem is achieved by a combination of naturally optimised shape with, additionally, optimised mechanical wood properties in the junction area.

Attitudes of rural branch managers in Madhya Pradesh, India, toward their role as providers of financial services to the poor

Discussions on banking reforms to reduce financial exclusion have referred little to possible attitudinal constraints, on the part of staff at both branch and institutional levels, inhibiting the provision of financial services to the poor. The research project, funded by the ESCOR (now Social Science Research) Small Grants Committee, has focused on this aspect of financial exclusion. The research commenced in May 2001 and was completed in April 2002. Profiles of the rural bank branch managers, including personal background, professional background and workplace, are presented. Attitudes of managers toward aspects of their work environment and the rural poor are examined, using results from both quantitative and qualitative analysis. Finally, the emerging policy implications are discussed. These include bank reforms to address human resource management, the work environment, intermediate bank management and organization, and the client interface.

A new organization for a perceptron-based branch predictor and its FPGA implementation

An unaltered rearrangement of the original computation of a neural based predictor at the algorithmic level is introduced as a new organization. Its FPGA implementation generates circuits that are 1.7 faster than a direct implementation of the original algorithm. This faster clock rate allows to implement predictors with longer history lengths using the nearly the same hardware budget.

FPGA organization for the fast path-based neural branch predictor

This paper develops cycle-level FPGA circuits of an organization for a fast path-based neural branch predictor Our results suggest that practical sizes of prediction tables are limited to around 32 KB to 64 KB in current FPGA technology due mainly to FPGA area of logic resources to maintain the tables. However the predictor scales well in terms of prediction speed. Table sizes alone should not be used as the only metric for hardware budget when comparing neural-based predictor to predictors of totally different organizations. This paper also gives early evidence to shift the attention on to the recovery from mis-prediction latency rather than on prediction latency as the most critical factor impacting accuracy of predictions for this class of branch predictors.

A-optimality orthogonal forward regression algorithm using branch and bound

In this brief, we propose an orthogonal forward regression (OFR) algorithm based on the principles of the branch and bound (BB) and A-optimality experimental design. At each forward regression step, each candidate from a pool of candidate regressors, referred to as S, is evaluated in turn with three possible decisions: 1) one of these is selected and included into the model; 2) some of these remain in S for evaluation in the next forward regression step; and 3) the rest are permanently eliminated from S. Based on the BB principle in combination with an A-optimality composite cost function for model structure determination, a simple adaptive diagnostics test is proposed to determine the decision boundary between 2) and 3). As such the proposed algorithm can significantly reduce the computational cost in the A-optimality OFR algorithm. Numerical examples are used to demonstrate the effectiveness of the proposed algorithm.

Maximizing revenue in Grid markets using an economically enhanced resource manager

Traditional resource management has had as its main objective the optimization of throughput, based on parameters such as CPU, memory, and network bandwidth. With the appearance of Grid markets, new variables that determine economic expenditure, benefit and opportunity must be taken into account. The Self-organizing ICT Resource Management (SORMA) project aims at allowing resource owners and consumers to exploit market mechanisms to sell and buy resources across the Grid. SORMA's motivation is to achieve efficient resource utilization by maximizing revenue for resource providers and minimizing the cost of resource consumption within a market environment. An overriding factor in Grid markets is the need to ensure that the desired quality of service levels meet the expectations of market participants. This paper explains the proposed use of an economically enhanced resource manager (EERM) for resource provisioning based on economic models. In particular, this paper describes techniques used by the EERM to support revenue maximization across multiple service level agreements and provides an application scenario to demonstrate its usefulness and effectiveness. Copyright © 2008 John Wiley & Sons, Ltd.