Learning from measurement

The Built Environment Research Group (BERG) at the School of Architecture and Building at Deakin University is involved in the monitoring of building energy consumption, lighting and acoustic levels, as well as material and thermal performance. Such measurements have taken place in several buildings over the last few years. This has been the result of a deliberate policy of BERG to initiate a process that completes the loop of design, prediction, monitoring, verification, teaching, then back to design again. This paper presents a summary of some projects that have involved building monitoring. We have established a methodology for measuring buildings which will be discussed, as well as the reasoning behind our desire to monitor buildings in general. The paper will present a summary of the results of measurement acquired to date (energy consumption, schedules, operation, etc.) and the lessons that have been learned from this monitoring program.

The measurement of the number, uniqueness, and valence of brand associations across three product categories

The research reported in this paper investigated the measurement of brand associations across three product categories. Brand associations had not been tested previously across all three categories of fast-moving consumer good, service, and durable in the one study. A free association method was used to generate brand associations for a fast-moving consumer good (shampoo), a service (banks) and a durable good (cars). The findings indicate that the first brand a respondent recalled has the greatest number of positive, unique and total brand associations. In addition, the findings indicated that durable goods have the highest number of associations, and the greatest number of unique and favourable brand associations. Further, banks and financial services had the fewest positive associations, which may have reflected attitudes to banks at the time of the research. These findings have implications for the manner in which respondents use information to recall brands, and how they process brand information when faced with a cue. Respondents use a depth and breadth of brand associations to generate brand information.

Combined evaluation of workplace performance using occupants' subjective assessment and objective measurement of environmental conditions : a case study

The case study presents findings from a program of pre- and post-evaluations of buildings sponsored by the NSW government. The program aims to demonstrate leadership in the delivery of government accommodation and to provide feedback into the building design and management process.

The results from a combined evaluation of an ABGR 4.5 star government building using the KODO probe© occupant surveys and measures of environmental conditions, carried out by the Mobile Architecture and Built Environment Laboratory (MABEL) at Deakin University are summarised. In particular the paper will present the benefits of innovative performance evaluation of property for commercial benefit using the KODO productivity topographic maps©.

These maps isolate where facility solutions are needed as opposed to tenant/occupant solutions in order to optimise building and business outcomes with minimal capital investment.

Measurement of the mass transfer coefficient at workpiece surfaces in heat treatment furnaces

The mass (e.g. carbon) transfer coefficient at a workpiece surface is an important kinetic factor to control the heat treatment process of the workpiece and to evaluate heat treatment equipment. The coefficient can be calculated from the carbon concentration at the surface of a sample carburized in a carburizing furnace for a given time. Two common measurement methods which use a thin plate and employ a component as samples respectively are evaluated and compared for sensitivity and uncertainty. The comparison shows that the use of a component produces higher measurement precision and also has the advantage in measuring the carbon transfer coefficients at different treated positions. This method is then extended and discussed methodologically. Also two equations are proposed to calculate the carbon transfer coefficient and its uncertainty, respectively. This method is also applied to measure the carbon transfer coefficient in a fluidized bed heat treatment furnace.

Selective chemical measurement based upon chemiluminescence detection

This thesis describes the utilisation of chemiluminescence (chemically generated light) for clinical diagnosis and process monitoring. Innovative instrumentation was developed for the direct monitoring of toxin levels in patients undergoing haemodialysis. This unique approach enables the efficacy of individual treatments to be continuously assessed thus enhancing patient outcomes.

Data with abnormal systematic pattern in a manufacturing process

The data represents a systematic pattern in process variable presented in a control chart due to measurement gauge rotation and power fluctuations in manufacturing processes.

Direct measurement of the force between two lipid bilayers and observation of their fusion

The force between twophosphatidylcholine bilayers is measured as a function of their separation, showing a strong hydration repulsion at short range, as previously reported by LeNeveu et al. (LeNeveu, D.M., Rand, R.P., Parsegian, V.A. and Gingell, D. (1977) (Biophys. J. 18, 209-230). The experimental technique also allows direct observation of the molecular process by which two bilayers fuse into one.

Knowledge management culture, strategy and process in Malaysian firms

Malaysia is one of the leading countries in Asia that are at the forefront in the development of a knowledge-based economy (KBE). The Malaysian government has been making substantial investments in both physical and technological infrastructure to facilitate knowledge-intensive economic activities. Foreign and local firms in Malaysia are encouraged to take advantage of the opportunities brought by the emerging KBE. However, little is known as to how firms in Malaysia respond to this new trajectory of economic development. In particular, there is paucity in the literature as to how Malaysian firms manage knowledge in their organizations as they strive to achieve sustainable competitive performance. Little is known as to how and why firms in Malaysia develop and manage their intangible and knowledge-based resources as they operate and respond to the modern knowledge-based competitive economic arena. This paper examines a type of organizational culture that supports and promotes knowledge management (KM) within firms in Malaysia. The paper argues that KM-oriented culture shapes the overall KM strategy of firms, which consequently shapes the organizational process required to manage the firm's knowledge-based resources. The study uses survey data from a sample of 153 firms from Malaysia. Structural equation modelling was used to develop and test the measurement model of KM-oriented culture, KM strategy and KM process of the sample firms, as well as the structural model of their hypothesized relationships. The results show that firms with high level of KM-oriented culture demonstrated well-defined KM strategies. Firms that implemented well-defined KM strategies also reported that they have better KM processes in place. Building a KM-oriented culture within the organization is a pre-requisite to the implementation of any KM systems in Malaysian firms. Successful implementation of KM strategies, processes and the supporting technological infrastructure depends on whether organizational members consider KM as a norm within the firm. The study's focus on the linkages between KM-oriented culture, strategy and process in the context of Malaysian firms contributes to a more nuanced understanding of KM among firms in the Asian context in general, and in the Malaysian context in particular.

Towards a semantic quality based approach for business process models improvement

Business process (BP) modeling aims at a better understanding of processes, allowing deciders to improve them. We propose to support this modeling with an approach encompassing methods and tools for BP models quality measurement and improvement. In this paper we focus on semantic quality. The latter is evaluated by aligning BP model concepts with domain knowledge. The alignment is conducted thanks to meta-models. We also define validation rules for checking the completeness of BP models. A medical case study illustrates the main steps of our approach.

A combined impact-process evaluation of a program promoting active transport to school: understanding the factors that shaped program effectiveness

This mixed methods study was a comprehensive impact-process evaluation of the Ride2School program in metropolitan and regional areas in Victoria, Australia. The program aimed to promote transport to school for primary school children. Qualitative and quantitative data were collected at baseline and followup from two primary schools involved in the pilot phase of the program and two matched comparison schools, and a further 13 primary schools that participated in the implementation phase of the program. Classroom surveys, structured and unstructured observations, and interviews with Ride2School program staff were used to evaluate the pilot program. For the 13 schools in the second phase of the program, parents and students completed questionnaires at baseline (N = 889) and followup (N = 761). Based on the quantitative data, there was little evidence of an overall increase in active transport to school across participating schools, although impacts varied among individual schools. Qualitative data in the form of observations, interviews, and focus group discussions with students, school staff, and program staff provided insight into the reasons for variable program impacts. This paper highlights the benefits of undertaking a mixed methods approach to evaluating active transport to school programs that enables both measurement and understanding of program impacts.

Optimal sensor placement and measurement of wind for water quality studies in urban reservoirs

We collaborate with environmental scientists to study the hydrodynamics and water quality in an urban district, where the surface wind distribution is an essential input but undergoes high spatial and temporal variations due to the complex urban landform created by surrounding buildings. In this work, we study an optimal sensor placement scheme to measure the wind distribution over a large urban reservoir with a limited number of wind sensors. Unlike existing sensor placement solutions that assume Gaussian process of target phenomena, this study measures the wind which inherently exhibits strong non-Gaussian yearly distribution. By leveraging the local monsoon characteristics of wind, we segment a year into different monsoon seasons which follow a unique distribution respectively. We also use computational fluid dynamics to learn the spatial correlation of wind in the presence of surrounding buildings. The output of sensor placement is a set of the most informative locations to deploy the wind sensors, based on the readings of which we can accurately predict the wind over the entire reservoir surface in real time. 10 wind sensors are finally deployed around or on the water surface of an urban reservoir. The in-field measurement results of more than 3 months suggest that the proposed sensor placement and spatial prediction approach provides accurate wind measurement which outperforms the state-of-the-art Gaussian model based or interpolation based approaches.

Sensor placement and measurement of wind for water quality studies in urban reservoirs

We study the water quality in an urban district, where the surface wind distribution is an essential input but undergoes high spatial and temporal variations due to the impact of surrounding buildings. In this work, we develop an optimal sensor placement scheme to measure the wind distribution over a large urban reservoir using a limited number of wind sensors. Unlike existing solutions that assume Gaussian process of target phenomena, this study measures the wind that inherently exhibits strong non-Gaussian yearly distribution. By leveraging the local monsoon characteristics of wind, we segment a year into different monsoon seasons that follow a unique distribution respectively. We also use computational fluid dynamics to learn the spatial correlation of wind. The output of sensor placement is a set of the most informative locations to deploy the wind sensors, based on the readings of which we can accurately predict the wind over the entire reservoir in real time. Ten wind sensors are deployed. The in-field measurement results of more than 3 months suggest that the proposed sensor placement and spatial prediction scheme provides accurate wind measurement that outperforms the state-of-the-art Gaussian model based on interpolation-based approaches.

Mammographic screening: measurement of the cost in a population based programme in Victoria, Australia

STUDY OBJECTIVES: To estimate the cost per woman participating in a mammographic screening programme, and to describe methods for measuring costs. DESIGN: Expenditure, resource usage, and throughput were monitored over a 12 month period. Unit costs for each phase of the screening process were estimated and linked with the probabilities of each screening outcome to obtain the cost per woman screened and the cost per breast cancer detected. SETTING: A pilot, population based Australian programme offering free two-view mammographic screening. PARTICIPANTS: A total of 5986 women aged 50-69 years who lived in the target area, were listed on the electoral roll, had no previous breast cancer, and attended the programme. RESULTS: Unit costs for recruitment, screening, and recall mammography were $17.54, $60.04, and $175.54, respectively. The costs of clinical assessment for women with subsequent clear, benign, malignant (palpable), and malignant (impalpable) diagnoses were $173.71, $527.29, $436.62, and $567.22, respectively. The cost per woman screened was $117.70, and the cost per breast cancer detected was $11,550. CONCLUSIONS: The cost per woman screened is a key variable in assessment of the cost effectiveness of mammographic screening, and is likely to vary between health care settings. Its measurement is justified if decisions about health care services are to be based on cost effectiveness criteria.