The market for software in the U.S.

The US market for software is investigated for the period 1964 to 2000, exploring the impact of price and non-price variables on software demand. and the impact of R&D and productivity on software supply. Software sales are positively associated with advertising, they are negatively affected by a rising consumer credit to GDP ratio. and are highly responsive to disposable income. Supply has been driven by productivity improvements.

Effects of the extensive culture system as finishing production strategy on biometric and chemical parameters in rainbow trout

The effect of finishing extensive farming period, to reduce fat content and manipulate the fatty acid profile of fish muscle, was evaluated in rainbow trout. Fish were stocked in an artificial lake, in which fish were fed only on naturally available nutrients with no supply of artificial feed, for different lengths of time from 0 to 120 days. No weight loss was noted during the whole finishing period while total length increased from 228±7 to 269±3 mm and the condition factor decreased from 1.41±0.04 to 0.89±0.02. The total fat content of the fillets decreased considerably from 4.7±0.6% at the beginning to 2.4±0.4% and 0.7±0.2% after 45 and 120 days respectively. Fillet fatty acid composition was affected by the time of stocking in the extensive farm. In contrast to the reduction in C18:1n-9, C18:2n-6, total monounsaturated fatty acid and total n-6 percent values, an increase in the C20:5n-3, C22:6n-3, total polyunsaturated fatty acid and total n-3 percent values was observed. It was shown that while other finishing strategies for salmonids have some disadvantages, the extensive culture system seems to be a potentially useful tool for increasing the general quality of the end product.

Introduction of new technology into hydroponic tomato growing at the farm level - a case study in collaborative research

In 2000 Deakin University and Elmac Hydroponics, with funding from the Australian Research Council began a collaborative PhD project researching the management and economics for commercial tomato production using the innovative Autopot® hydroponics system. The collaboration between Deakin University, the Elmac farmers and the wider hydroponics industry was central to this research project. A significant outcome was the education of both the researchers and the farmers. Deakin University researchers benefited from the chance to learn about conducting research within the commercial constraints of the industry. Elmac and the wider industry had the opportunity to learn about the methodology, application and limitations of scientific research. However, there are conflicts between the desired educational outcomes for the stakeholders in a collaborative project of this type. In most cases, the award of the PhD degree to the candidate depends entirely on the thesis. A thesis however, would be of little value to most hydroponics farmers. The desired educational outcome for industry is in the application of the results to their situation for improved management of production and increased profit. This paper highlights the benefits and constraints of collaborative research into the introduction of innovative technology to the hydroponics industry.

The Sustainable Farm Families Project : changing attittudes to health

Introduction: Farm health and safety has historically focussed on strategies such as injury prevention, safety audits and fulfilling legislative responsibilities. However, farmer injuries mask deeper health issues including higher rates of cancer, suicides, cardiovascular disease and stress. The relationship between occupational health and safety and farm family health has not been fully investigated. The Sustainable Farm Families (SFF) project attempts to make this connection in order to address premature death, morbidity and injury on Australian farms. The SFF project illustrates how increasing health literacy through education and physical assessment can lead to improved health and knowledge outcomes for farm families.

Methods: The SFF project focuses on the human resource in the triple bottom line and is working with farmers, families, industry and universities to collaboratively assess and promote improvement in the health and wellbeing of farm families. Based on a model of extension that engages farm families as active learners where they commit to healthy living and safe working practices, the SFF project is proving to be an effective model for engaging communities in learning and change. Health education and information is delivered to farm men and women aged 18 to 75 years using a workshop format. Pre- and post-knowledge surveys, annual physical assessments and focus group discussions form the methodological context for the research over a three-year intervention.

Results: This article discusses the progress of the research outlining the design of the SFF project, the delivery and extension processes used to engage 321 farm families from within a broadacre and dairy-farming family sample. The article presents key learnings on intersectoral collaboration, engaging farmers and families in health, and the future for this project extending into agricultural industries across the nation. Key results reveal that health issues do exist in farming families and are often underreported by family members. Health indicators were at a level where referral and intervention was required in over 60% of men and 70% of women in both broad acre and dairy industries. Farm men and women verbalised health concerns relating to access, support and control mechanisms of the health system. Participants also revealed how they put into practice their new knowledge and how this has influenced their health.

Conclusions: The key learning is that farm men and women who are at high risk of premature morbidity and mortality will participate in health education and assessment programs based on industry collaboration with high levels of individual participation. This program provides evidence that farmers will engage with health professionals if programs are presented to them in personally engaging and relevant ways. The SFF program is a definite tool for interventional health promotion that supports attitudinal change to health and farming practices.

Measuring dairy farm performance

To fully consider production impacts, this thesis adopts a systems perspective and uses a biophysical model, DairyMod, to measure the interactions between system components and gauge the environmental impact of dairy farming arising from nitrogen use. Performance from the perspective of both the individual farmer and society is examined.

MVGL analyser for multi-classifier based spam filtering system

In the last decade, the rapid growth of the Internet and email, there has been a dramatic growth in spam. Spam is commonly defined as unsolicited email messages and protecting email from the infiltration of spam is an important research issue. Classifications algorithms have been successfully used to filter spam, but with a certain amount of false positive trade-offs, which is unacceptable to users sometimes. This paper presents an approach to overcome the burden of GL (grey list) analyzer as further refinements to our multi-classifier based classification model (Islam, M. and W. Zhou 2007). In this approach, we introduce a ldquomajority voting grey list (MVGL)rdquo analyzing technique which will analyze the generated GL emails by using the majority voting (MV) algorithm. We have presented two different variations of the MV system, one is simple MV (SMV) and other is the ranked MV (RMV). Our empirical evidence proofs the improvements of this approach compared to the existing GL analyzer of multi-classifier based spam filtering process.

Mutual authentication with malware protection for a RFID system

Radio Frequency Identification (RFID) system is a remote identification technology which is taking the place of barcodes to become electronic tags of an object. However, its radio transmission nature is making it vulnerable in terms of security. Recently, research proposed that an RFID tag can contain malicious code which might spread viruses, worms and other exploits to middleware and back-end systems. This paper is proposing a framework which will provide protection from malware and ensure the data privacy of a tag. The framework will use a sanitization technique with a mutual authentication in the reader level. This will ensure that any malicious code in the tag is identified. If the tag is infected by malicious code it will stop execution of the code in the RFIF system. Here shared unique parameters are used for authentication. It will be capable of protecting an RFID system from denial of service (DOS) attack, forward security and rogue reader better than existing protocols. The framework is introducing a layer concept on a smart reader to reduce coupling between different tasks. Using this framework, the RFID system will be protected from malware and also the privacy of the tag will be ensured.

Detecting unknown anomalous program behavior using API system calls

This paper presents the detection techniques of anomalous programs based on the analysis of their system call traces. We collect the API calls for the tested executable programs from Microsoft detour system and extract the features for our classification task using the previously established n-gram technique. We propose three different feature extraction approaches in this paper. These are frequency-based, time-based and a hybrid approach which actually combines the first two approaches. We use the well-known classifier algorithms in our experiments using WEKA interface to classify the malicious programs from the benign programs. Our empirical evidence demonstrates that the proposed feature extraction approaches can detect malicious programs over 88% which is quite promising for the contemporary similar research.

Security risks/vulnerability in a RFID system and possible defenses

Remote technologies are changing our way of life. The radio frequency identification (RFJD) system is a new technology which uses the open air to transmit information. This information transmission needs to be protected to provide user safety and privacy. Business will look for a 5ystem that hasfraud resilience to prevent the misuse of information to take dishonest advantage. The business and the user need to be assured that the transmitted information has no content which is capable of undertaking malicious activities. Public awareness of RFID security will help users and organizations to understand the need for security protection. Publishing a security guideline from the regulating body and monitoring implementation of that guideline in RFID 5ystems will ensure that businesses and users are protected. This chapter explains the importance of security in a RFID system and will outline the protective measures. It also points out the research direction of RFID 5ystems.

A simple-to-use calculator for determining the total solar heat gain of a glazing system

Architects and designers could readily use a quick and easy tool to determine the solar heat gains of their selected glazing systems for particular orientations, tilts and climate data. Speedy results under variable solar angles and degree of irradiance would be welcomed by most. Furthermore, a newly proposed program should utilise the outputs of existing glazing tools and their standard information, such as the use of U-values and Solar Heat Gain Coefficients (SHGC’s) as generated for numerous glazing configurations by the well-known program WINDOW 6.0 (LBNL, 2001). The results of this tool provide interior glass surface temperature and transmitted solar radiation which link into comfort analysis inputs required by the ASHRAE Thermal Comfort Tool –V2 (ASHRAE, 2011). This tool is a simple-to-use calculator providing the total solar heat gain of a glazing system exposed to various angles of solar incidence. Given basic climate (solar) data, as well as the orientation of the glazing under consideration the solar heat gain can be calculated. The calculation incorporates the Solar Heat Gain Coefficient function produced for the glazing system under various angles of solar incidence WINDOW 6.0 (LBNL, 2001). The significance of this work rests in providing an orientation-based heat transfer calculator through an easy-to-use tool (using Microsoft EXCEL) for user inputs of climate and Solar Heat Gain Coefficient (WINDOW-6) data. We address the factors to be considered such as solar position and the incident angles to the horizontal and the window surface, and the fact that the solar heat gain coefficient is a function of the angle of incidence. We also discuss the effect of the diffuse components of radiation from the sky and those from ground surface reflection, which require refinement of the calculation methods. The calculator is implemented in an Excel workbook allowing the user to input a dataset and immediately produce the resulting solar gain. We compare this calculated total solar heat gain with measurements from a test facility described elsewhere in this conference (Luther et.al., 2012).

Credit cycle dependent spread determinants in emerging sovereign debt markets

We address credit cycle dependent sovereign credit risk determinants. In our model, the spread determinants' magnitude is conditional on an unobservable endogenous sovereign credit cycle as represented by the underlying state of a Markov regime switching process. Our explanatory variables are motivated in the tradition of structural credit risk models and include changes in asset prices, interest rates, implied market volatility, gold price changes and foreign exchange rates. We examine daily frequency variations of U.S. dollar denominated Eurobond credit spreads of four major Latin American sovereign bond issuers (Brazil, Colombia, Mexico and Venezuela) with liquid bond markets during March 2000 to June 2011. We find that spread determinants are statistically significant and consistent with theory, while their magnitude remarkably varies with the state of the credit cycle. Crisis states are characterized by high spread change uncertainty and high sensitivities with respect to the spread change determinants. We further document that not only changes of local currencies, but also changes of the Euro with respect to the U.S. dollar are significant spread drivers and argue that this is consistent with the sovereigns' ability to pay.