An intelligent forex monitoring system

The need for intelligent monitoring systems has become a necessity to keep track of the complex forex market. The vast currency market is a foreign concept to the average individual. However, once it is broken down into simple terms, the average individual can begin to understand the foreign exchange market and use it as a financial instrument for future investing. We attempt to compare the performance of a Takagi-Sugeno, type neuro-fuzzy system and a feedforward neural network trained using the scaled conjugate gradient algorithm to predict the average monthly forex rates. We considered the exchange values of Australian dollar with respect to US dollar, Singapore dollar, New Zealand dollar, Japanese yen and United Kingdom pounds. The connectionist models were trained using 70% of the data and remaining was used for testing and validation purposes. It is observed that the proposed connectionist models were able to predict the average forex rates one month ahead accurately. Experiment results also reveal that the neuro-fuzzy technique performed better than the neural network

Australian forex market anaylsis using connectionist models

The need for intelligent monitoring systems has become a necessity to keep track of the complex forex market. The forex market is difficult to understand by an average individual. However, once the market is broken down into simple terms, the average individual can begin to understand the foreign exchange market and use it as a financial instrument for future investing. This paper is an attempt to compare the performance of a Takagi-Sugeno type neuro-fuzzy system and a feed forward neural network trained using the scaled conjugate gradient algorithm to predict the average monthly forex rates. The exchange values of Australian dollar are considered with respect to US dollar, Singapore dollar, New Zealand dollar, Japanese yen and United Kingdom pound. The connectionist models were trained using 70% of the data and remaining was used for testing and validation purposes. It is observed that the proposed connectionist models were able to predict the average forex rates one month ahead accurately. Experiment results also reveal that neuro-fuzzy technique performed better than the neural network.

Reassessing the Effects of Early Adolescent Alcohol Use on Later Antisocial Behavior : A Longitudinal Study of Students in Victoria, Australia and Washington State, United States

The effect of early adolescent alcohol use on antisocial behavior was examined at one- and two-year follow-up in Washington, United States and Victoria, Australia. Each state used the same methods to survey statewide representative samples of students (N = 1,858, 52% female) in 2002 (Grade 7 [G7]), 2003 (Grade 8 [G8]), and 2004 (Grade 9 [G9]). Rates of lifetime, current, frequent, and heavy episodic alcohol use were higher in Victoria than Washington State, whereas rates of five antisocial behaviors were generally comparable across states. After controlling for established risk factors, few associations between alcohol use and antisocial behavior remained, except that G7 current use predicted G8 police arrests and stealing and G9 carrying a weapon and stealing; G7 heavy episodic use predicted G8 and G9 police arrests; and G7 lifetime use predicted G9 carrying a weapon. Hence, risk factors other than alcohol were stronger predictors of antisocial behaviors.

Urbanization impacts on mammals across urban-forest edges and a predictive model of edge effects

With accelerating rates of urbanization worldwide, a better understanding of ecological processes at the wildland-urban interface is critical to conserve biodiversity. We explored the effects of high and low-density housing developments on forest-dwelling mammals. Based on habitat characteristics, we expected a gradual decline in species abundance across forest-urban edges and an increased decline rate in higher contrast edges. We surveyed arboreal mammals in sites of high and low housing density along 600 m transects that spanned urban areas and areas turn on adjacent native forest. We also surveyed forest controls to test whether edge effects extended beyond our edge transects. We fitted models describing richness, total abundance and individual species abundance. Low-density housing developments provided suitable habitat for most arboreal mammals. In contrast, high-density housing developments had lower species richness, total abundance and individual species abundance, but supported the highest abundances of an urban adapter (Trichosurus vulpecula). We did not find the predicted gradual decline in species abundance. Of four species analysed, three exhibited no response to the proximity of urban boundaries, but spilled over into adjacent urban habitat to differing extents. One species (Petaurus australis) had an extended negative response to urban boundaries, suggesting that urban development has impacts beyond 300 m into adjacent forest. Our empirical work demonstrates that high-density housing developments have negative effects on both community and species level responses, except for one urban adapter. We developed a new predictive model of edge effects based on our results and the literature. To predict animal responses across edges, our framework integrates for first time: (1) habitat quality/preference, (2) species response with the proximity to the adjacent habitat, and (3) spillover extent/sensitivity to adjacent habitat boundaries. This framework will allow scientists, managers and planners better understand and predict both species responses across edges and impacts of development in mosaic landscapes.

Politicised pagodas and veiled resistance : contested urban space in Burma.

The urban landscapes of Yangon and Mandalay in Burma (Myanmar) exhibit a rich cultural layering and complex blending of urban forms and architectural styles. But while both cities today are shaped by contemporary economic and political realities, they also clearly reflect
their historical origins—Yangon as the British colonial capital and Mandalay as the last seat of the monarchy. Burma’s ancient religious monuments, monarchical and colonial heritage on the one hand, and new religious edifices, international standard hotels, commercial enterprises, new public buildings and satellite towns on the other hand, represent the two poles of the dialectic of tradition and modernity. The landscapes, as symbolic representations, have been appropriated by
the authoritarian military regime, the State Peace and Development Council (SPDC) for nation building purposes. But the urban landscapes are also contested and appropriated in symbolic ways and invested with meanings as sites of resistance and struggle by those in opposition, and
are thus contested sites where the power relations of domination and resistance intersect. The paper illustrates these themes with examples drawn from Yangon and Mandalay.

Not the same : a comparison of female and male clients seeking treatment from problem gambling counselling services

Previous studies of problem gamblers portray this group as being almost exclusively male. However, this study demonstrates that females comprised 46% of the population (n = 1,520) of persons who sought assistance due to concerns about their gambling from the publicly-funded BreakEven counselling services in the state of Victoria, Australia, in one 12-month period. This suggests that the model of service delivery which is community based counselling on a non-residential basis may be better able to attract female clients than treatment centres where males predominate such as veterans centres. A comparative analysis of the social and demographic characteristics of female and male gamblers within the study population was undertaken. As with previous studies, we have found significant differences between males and females who have sought help for problems associated with their gambling. Gender differences revealed in this study include females being far more likely to use electronic gaming machines (91.1% vs. 61.4%), older (39.6 years vs. 36.1 years), more likely to be born in Australia (79.4% vs. 74.7%), to be married (42.8% vs. 30.2%), living with family (78.9% vs. 61.5%) and to have dependent children (48.4% vs. 35.7%), than males who present at these services. Female gamblers (A$7,342) reported average gambling debts of less than half of that owed by males (A$19,091). These gender differences have implications for the development and conduct of problem gambling counselling services as it cannot be assumed that models of service which have demonstrated effectiveness with males will be similarly effective with females.

The effects of accounting students` ethical reasoning and personal factors on their ethical sensitivity

Purpose – Rest posited that to behave morally, an individual must have performed at least four basic psychological processes: moral sensitivity; moral judgment; moral motivation; and moral character. Though much ethics research in accounting has been focused on component two, ethical judgment, less research has been undertaken on the other three components. The purpose of this study is to focus on component one, ethical sensitivity, of Rest's four-component model.
Design/methodology/approach – A sample of 156 accounting undergraduates was employed to investigate the ethical sensitivity of accounting students and the effects of their ethical reasoning and personal factors on their ethical sensitivity.
Findings – Results of this study show that accounting students vary in their ability to detect the presence of ethical issues in a professional scenario. There is no significant relationship between accounting students' ethical sensitivity and their ethical reasoning (P-score). Accounting students characterized as “internals” are more likely to show an ability to recognize ethical issues than those characterized as “externals.” The results also indicate that an accounting ethics intervention may have positive effect on accounting students' ethical sensitivity development. Hence, an individual who possesses the ability to determine what is ethically right or wrong (high ethical reasoning) may fail to behave ethically due to a deficiency in identifying ethical issues (low ethical sensitivity) in a situation.
Originality/value – Whilst much research has concentrated on ethical reasoning and ethics education to enhance the ethical conduct of accountants, it is important that the profession and researchers also direct their attention and efforts to cultivating the ethical sensitivity of accountants. The findings of this study provide additional evidence to support Rest's theory of a more comprehensive cognitive model of ethical decision-making and suggest a more balanced research effort in evaluating the ethical development of individuals.

Can the choice of interpolation method explain the difference between swap prices and futures prices?

The standard model linking the swap rate to the rates in a contemporaneous strip of futures interest rate contracts typically produces biased estimates of the swap rate. Institutional differences usually require some form of interpolation to be employed and may in principle explain this empirical result. Using Australian data, we find evidence consistent with this explanation and show that model performance is greatly improved if an alternative interpolation method is used. In doing so, we also provide the first published Australian evidence on the accuracy of the futures-based approach to pricing interest rate swaps.

Univariate and multivariate process yield indices based on location-scale family of distributions

Several measures of process yield, defined on univariate and multivariate normal process characteristics, have been introduced and studied by several authors. These measures supplement several well-known Process Capacity Indices (PCI) used widely in assessing the quality of products before being released into the marketplace. In this paper, we generalise these yield indices to the location-scale family of distributions which includes the normal distribution as one of its member. One of the key contributions of this paper is to demonstrate that under appropriate conditions, these indices converge in distribution to a normal distribution. Several numerical examples will be used to illustrate our procedures and show how they can be applied to perform statistical inferences on process capability.

FEACS: a flexible and efficient access control scheme for cloud computing

In the past few years, cloud computing has emerged as one of the most influential paradigms in the IT industry. As promising as it is, this paradigm brings forth many new challenges for data security because users have to outsource sensitive data on untrusted cloud servers for sharing. In this paper, to guarantee the confidentiality and security of data sharing in cloud environment, we propose a Flexible and Efficient Access Control Scheme (FEACS) based on Attribute-Based Encryption, which is suitable for fine-grained access control. Compared with existing state-of-the-art schemes, FEACS is more practical by following functions. First of all, considering the factor that the user membership may change frequently in cloud environment, FEACS has the capability of coping with dynamic membership efficiently. Secondly, full logic expression is supported to make the access policy described accurately and efficiently. Besides, we prove in the standard model that FEACS is secure based on the Decisional Bilinear Diffie-Hellman assumption. To evaluate the practicality of FEACS, we provide a detailed theoretical performance analysis and a simulation comparison with existing schemes. Both the theoretical analysis and the experimental results prove that our scheme is efficient and effective for cloud environment.

A new process capability index for multiple quality characteristics based on principal components

This paper presents a new multivariate process capability index (MPCI) which is based on the principal component analysis (PCA) and is dependent on a parameter (Formula presented.) which can take on any real number. This MPCI generalises some existing multivariate indices based on PCA proposed by several authors when (Formula presented.) or (Formula presented.). One of the key contributions of this paper is to show that there is a direct correspondence between this MPCI and process yield for a unique value of (Formula presented.). This result is used to establish a relationship between the capability status of the process and to show that under some mild conditions, the estimators of this MPCI is consistent and converge to a normal distribution. This is then applied to perform tests of statistical hypotheses and in determining sample sizes. Several numerical examples are presented with the objective of illustrating the procedures and demonstrating how they can be applied to determine the viability and capacity of different manufacturing processes.

A strong provably secure IBE scheme without bilinear map

Identity-based encryption (IBE) allows one party to send ciphered messages to another using an arbitrary identity string as an encryption key. Since IBE does not require prior generation and distribution of keys, it greatly simplifies key management in public-key cryptography. According to the Menezes-Okamoto-Vanstone (MOV) reduction theory, the IBE scheme based on bilinear map loses the high efficiency of elliptic curve because of the requirement of large security parameters. Therefore, it is important to build a provably secure IBE scheme without bilinear map. To this end, this paper proposes an improved IBE scheme that is different from the previous schemes because this new scheme does not use symmetric encryption algorithm. Furthermore, it can be proven to be secure against adaptively chosen identity and chosen plaintext attacks in the standard model. Elaborated security and performance analysis demonstrate that this new scheme outperforms the previous ones in terms of the time complexity for encryption and decryption.

Minimum-order filter design for partial state estimation of linear systems with multiple time-varying state delays and unknown input delays

Designing delay-dependent functional observers for LTI systems with multiple known time-varying state delays and unknown time-varying input delays is studied. The input delays are arbitrary, but the state delays should be upper-bounded. In addition, two scenarios of slow-varying and fast-varying state delays are investigated. The results of the paper can also be considered as one of the first contributions considering unknown-input functional observer design for linear systems with multiple time-varying state delays. Based on the Lyapunov Krasovskii approach, delay-dependent sufficient conditions of the exponential stability of the observer in each scenario are established in terms of linear matrix inequalities. Because of using effective techniques, such as the descriptor transformation and an advanced weighted integral inequality, the proposed stability criteria can result in larger stability regions compared with the other papers that study functional observers for time-varying delay systems. Furthermore, to help with the design procedure, a genetic algorithm-based scheme is proposed to adjust a weighting matrix in the established linear matrix inequalities. Two numerical examples illustrate the design procedure and demonstrate the efficacy of the proposed observer in each scenario.

Efficient and secure attribute-based signature for monotone predicates

Attribute-based signature (ABS) is a novel cryptographic primitive, which can make the signing party sign a message with fine-grained control over identifying information. ABS only reveals the fact that the verified message must be signed by a user with a set of attributes satisfying a predicate. Thus, ABS can hide any identifying information and make fine-grained control on signing. Presently, many attribute-based signature schemes have been proposed, but most of them are not very efficient. Maji et al. recently presented a complete definition and construction about ABS for monotone predicates and showed three instantiations under their framework for ABS. Although the most practical one of their instantiations is efficient, the instantiation is constructed in the generic group model and has been proved to be insecure. Then, Okamoto et al. proposed an attribute-based signature scheme in the standard model, which can support generalized non-monotone predicates over access structure. However, their scheme is not efficient in practice. In this paper, we present a framework for ABS and show a detailed security model for ABS. Under our framework, we present an attribute-based signature scheme for monotone predicates in the standard model, where we choose the Waters’ signature scheme as the prototype of our attribute-based signature scheme. Compared with the Maji’s scheme in the generic group model, the proposed scheme is constructed in the standard model. Furthermore, compared with the Okamoto’s scheme, the proposed scheme is more efficient by decreasing the computation cost.

Role of ADRI model in teaching and assessing novice programmers

In this research, an ADRI approach was introduced in the teaching and learning process of an introductory programming course. The result shows that the ADRI approach impacted positively on the students learning outcomes. The ADRI approach not only reduced the failure rate but also improved student’s retention in the course.