Face classification by a random forest

This paper presents a random forest-based face image classification method. The random forest is an ensemble learning method that grows many classification trees. Each tree gives a classification. The forest selects the classification that has the most votes. Three experiments are performed. The random forest-based method together with several existing approaches are trained and evaluated. The experimental results are presented and discussed.

Roles, responsibilities and futures of chief information officers (CIOs) in the public sector

This paper discusses in its entirety, the CIO (Chief Information Officer) position in the public sector. Governments are increasingly adopting Information Technology for internal processes and for the delivery of service to their citizens. It includes literature on CIO roles and responsibilities which is heavily based on the private sector, due to the recognition of the role in this sector over twenty years. The position is just evolving in the public sector, and due to the context in which the public sector operates there are some similarities as well as vast differences. An evaluation of existing CIO models and theories form the basis for research on CIO roles, responsibilities and future within the public sector.

Analysis of forest policy using multi-attribute value theory

Contents:
1. Role of multi-criteria decision making in natural resource management /​ Gamini Herath and Tony Prato
2. Analysis of forest policy using multi-attribute value theory /​ Jayanath Ananda and Gamini Herath
3. Comparing Riparian revegetation policy options using the analytic hierarchy process /​ M. E. Qureshi and S. R. Harrison
4. Managing environmental and health risks from a lead and zinc smelter : an application of deliberative multi-criteria evaluation /​ Wendy Proctor, Chris McQuade and Anne Dekker
5. Multiple attribute evaluation of management alternatives for the Missouri River System /​ Tony Prato
6. Multi-criteria decision analysis for integrated watershed management /​ Zeyuan Qiu
7. Fuzzy multiple attribute evaluation of agricultural systems /​ Leonie A. Marks and Elizabeth G. Dunn
8. Multi-criteria decision support for energy supply assessment /​ Bram Noble
9. Seaport development in Vietnam : evaluation using the analytic hierarchy process /​ Tran Phuong Dong and David M. Chapman
10. Valuing wetland aquatic resources using the analytic hierarchy process /​ Premachandra Wattage and Simon Mardle
11. Multiple attribute evaluation for national park management /​ Tony Prato
12. The future of MCDA in natural resource management : some generalizations /​ Gamini Herath and Tony Prato.

Heating effects on water repellency in Australian eucalypt forest soils and their value in estimating wildfire soil temperatures

Wildfires can induce or enhance soil water repellency under a range of vegetation communities. According to mainly USA-based laboratory studies, repellency is eliminated at a maximum soil temperature (T) of 280–400°C. Knowledge of T reached during a wildfire is important in evaluating post-fire soil physical properties, fertility and seedbed status. T is, however, notoriously difficult to ascertain retrospectively and often based on indicative observations with a large potential error. Soils under fire-prone Australian eucalypt forests tend to be water repellent when dry or moderately moist even if long unburnt. This study aims to quantify the temperature of water repellency destruction for Australian topsoil material sampled under three sites with contrasting eucalypt cover (Eucalyptus sieberi, E. ovata and E. baxteri). Soil water repellency was present prior to heating in all samples, increased during heating, but was abruptly eliminated at a specific T between 260 and 340°C. Elimination temperature varied somewhat between samples, but was found to be dependent on heating duration, with longest duration resulting in lowest elimination temperature. Results suggest that post-fire water repellency may be used as an aid in hindcasting soil temperature reached during the passage of a fire within repellency-prone environments.

Fragmentation and Clearing of Maine Forest Habitats

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Woodlot Ownership and Forest Cover in Maine

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"Information effect" of economic news: SPI futures

The present study investigates the behaviour of Share Price Index (SPI) futures returns, volatility, and trading volume behaviour around the announcement of Current Account Deficit (CAD), Gross Domestic Product (GDP), and Inflation (CPI). The futures market data are sampled at 1-, 5-, and 10-min intervals at the announcement time. After controlling for risk, a significant positive abnormal return can be earned based on the good news release. However, it is unlikely that traders could make an economic profit by exploiting this effect. In this sense, this futures market returns are found to react efficiently to good news. Volatility behaviour around announcements provides the same conclusion. As for the relationship between returns, volatility, and volume upon information arrival, returns are positively related to trading volume, which is inconsistent with the ‘short sales constraint’ theory. Trading volume is found to increase as the level of volatility rises. The redenomination of the SPI futures and options contract from A$100 to A$25 per basis point is found to increase trading volume in excess of that expected due to the redenomination. However, market return and volatility are unaffected by the redenomination.

Temporal changes in macroinvertebrate assemblages following experimental flooding in permanent and temporary wetlands in an Australian floodplain forest

The River Murray, Australia, is a highly regulated river from which almost 80% of mean annual flow is removed for human use, primarily irrigated agriculture. Consequent changes to the pattern and volume of river flow are reflected in floodplain hydrology and, therefore, the wetting/drying patterns of floodplain wetlands. To explore the significance of these changes, macroinvertebrate samples were compared between permanent and temporary wetlands following experimental flooding in a forested floodplain of the River Murray. Weekly samples from two permanent wetlands and four associated temporary sites were used to track changes in macroinvertebrate assemblage composition. Non-metric multidimensional scaling was used to ordinate the macroinvertebrate data, indicating consistent differences between the biota of permanent and temporary wetlands and between the initial and later assemblages in the temporary sites. There were marked changes over time, but little sign that the permanent and temporary assemblages were becoming more alike over the 25-week observation period. The apparent heterogeneity of these systems is of particular importance in developing river management plans which are likely to change flooding patterns. Such plans need to maintain a mosaic of wetland habitats if floodplain biodiversity is to be supported.

A chaos theory interpretation of community perceptions of Australian forest policy

This paper proposes a methodology for measuring community values towards Australian forest policy using chaos theory. The use of chaos theory within social sciences has been restricted due to chaos-based analysis requiring time-continuous data. Using scale-based data, iconographs are suggested as a method of dynamically representing community values for forestry at a higher phase plane. In addition, the method also provides opportunity for control of chaos by policy makers in altering community attitudes.

Australia's regional forest agreement process: analysis of the potential and problems

The 1990s heralded a new era in forest policy in Australia with the introduction of The National Forest Policy Statement which provided a framework under which native forest resources would be protected whilst also permitting ecologically sustainable timber harvesting. However, the implementation of the statement through the Regional Forest Agreements by state governments appear to contradict the conditions of the policy. Political bias towards development imperatives in implementing RFAs is evident. Community involvement in RFAs has not been satisfactory for sustainable forest use and management, with ongoing dissatisfaction from some stakeholder groups. There is still increased demand for protection of what remains of the various forest reserves. Aboriginal issues have not been settled in line with the expectation of the policy. There are continuing conflicts between the Commonwealth Government and some state governments

The use of analytic hierarchy process to incorporate stakeholder preferences into regional forest planning

Forest management decisions are often characterised by complexity, irreversibility and uncertainty. Much of the complexity arises from the multiple-use nature of forest goods and services, difficulty in monetary valuation of ecological services and the involvement of numerous stakeholders. Under these circumstances, conventional methods such as cost-benefit analysis are ill-suited to evaluate forest decisions. The Analytic Hierarchy Process (AHP), can be useful in regional forest planing as it can accommodate conflictual, multidimensional, incommensurable and incomparable set of objectives. The objective of this paper is to examine the scope and feasibility of the AHP in incorporating stakeholder preferences into regional forest planning. The Australian Regional Forest Agreement Programme is taken as an illustrative case for the analysis. The results show that the AHP can formalize public participation in decision making and increase the transparency and the credibility of the process.

Modelling linkages between Australian financial futures markets

This paper investigates the dynamic interdependence of the Australian financial futures markets. A multivariate EGARCH model is developed to investigate linkages and stochastic volatility interactions between the 10-year Treasury bond, 90-day bank-accepted bill, and the All Ordinaries share price index futures markets. In this analysis, the empirical results strongly suggest that significant volatility interactions are evident across the 3 markets.

Intraday periodicity and long memory volatility processes in the Korean bond futures market

This article examines long memory volatility processes in the 5 minute Korean Treasury bond futures data using two different techniques: the GPH test and the EML test. Two proxies of volatility returns are used: absolute returns and square returns. We found intraday periodicity and autocorrelation persistence in the volatility for the 5 minute returns. The empirical results from both techniques indicate that there is little evidence of long memory in the level of returns, but there is significant evidence of long memory in the absolute returns and the square returns. This implies that volatility is best characterised by long memory processes. Additionally, we found that the absolute returns are the most appropriate indicator to represent the long memory volatility processes.