Description:
With the rapid development of e-commerce and the expansion of e-commerce system scale, scalable trust in e-commerce becomes critical. This article examines scalable trust of multiagent e-commerce system (MECS) and proposes a fuzzy model for scalable trust in e-commerce. It also discusses the realization of scalable trust from the viewpoint of engineering. The proposed approach will facilitate research and development of trust, multiagent systems, e-commerce and e-services
Description:
Big data analytics and business analytics are disruptive technology and innovative solution for enterprise development. However, what is the relationship between big data analytics and business analytics? What is the relationship between business analytics and enterprise information systems (EIS)? How can business analytics enhance the development of EIS? These are still big issues for EIS development. This paper addresses these three issues by proposing an ontology of business analytics, presenting an analytics service-oriented architecture (ASOA) and applying ASOA to EIS, where our surveyed data analysis showed that the proposed ASOA can enhance to develop EIS. This paper also discusses the interrelationship between data analysis and business analytics, and between data analytics and big data analytics. The proposed approaches in this paper will facilitate research and development of EIS, business analytics, big data analytics, and business intelligence.
Description:
Web services are playing a pivotal role in e-business, service intelligence, service science and information systems. This article will examine how the main players make decisions for activities in web service lifecycle (WSLC) and propose a holistic model for decision making in web services. More specifically, this article first examines main players in web services. It also reviews the existing web service lifecycles and proposes a demand-driven web service lifecycle for web service requesters. It will then examine six driving factors for web services, look at their interrelationships and propose a holistic model for decision making in web services, C6, which consists of six Cs: communication, competition, coordination, collaboration, cooperation and control, taking into account the main players in web services and web service lifecycle (WSLC). The proposed approach will facilitate research and development of web services, e-services, service intelligence, service science and service computing.
Description:
Web services are playing a pivotal role in e-business, service intelligence, service science and information systems. This article will examine how the main players make decisions for activities in web service lifecycle (WSLC) and propose a holistic model for decision making in web services. More specifically, this article first examines main players in web services. It also reviews the existing web service lifecycles and proposes a demand-driven web service lifecycle for web service requesters. It will then examine six driving factors for web services, look at their interrelationships and propose a holistic model for decision making in web services, C6, which consists of six Cs: communication, competition, coordination, collaboration, cooperation and control, taking into account the main players in web services and web service lifecycle (WSLC). The proposed approach will facilitate research and development of web services, e-services, service intelligence, service science and service computing.
Description:
This paper proposes a hybrid Newton-Raphson and genetic algorithm for the estimation of double cage induction motor parameters from commonly available manufacturer data. The hybrid algorithm was tested on a large data set of 6,380 IEC and NEMA motors and then compared with a baseline Newton-Raphson algorithm. The simulation results show that while the proposed hybrid algorithm is more computationally intensive, it does make significant improvements to convergence and error rates.
Description:
This paper proposes a hybrid Newton-Raphson and genetic algorithm for the estimation of double cage induction motor parameters from commonly available manufacturer data. The hybrid algorithm was tested on a large data set of 6,380 IEC and NEMA motors and then compared with a baseline Newton-Raphson algorithm. The simulation results show that while the proposed hybrid algorithm is more computationally intensive, it does make significant improvements to convergence and error rates.
Description:
Despite its growing contribution to the global economy, investigation on the application status of service FMEA study to support realization of reliable service operation is very limited in literature. Motivated by such situation, the paper presented an initial survey on the status and research gaps in developing and applying FMEA in service sectors. Systematic preliminary survey using specific criteria are undertaken. Our study indicated that development and application of service FMEA are partially addressing the characteristics of service operations and it is still applied into the good deed and profit oriented operations. Opportunities for further investigation pertaining to advancement of its decision supporting tool for service risk appraisal, its modification to cope with sustainability related requirements and application of service FMEA in not for profit oriented operations are presented as new avenues for further investigation
Description:
Despite its growing contribution to the global economy, investigation on the application status of service FMEA study to support realization of reliable service operation is very limited in literature. Motivated by such situation, the paper presented an initial survey on the status and research gaps in developing and applying FMEA in service sectors. Systematic preliminary survey using specific criteria are undertaken. Our study indicated that development and application of service FMEA are partially addressing the characteristics of service operations and it is still applied into the good deed and profit oriented operations. Opportunities for further investigation pertaining to advancement of its decision supporting tool for service risk appraisal, its modification to cope with sustainability related requirements and application of service FMEA in not for profit oriented operations are presented as new avenues for further investigation
Description:
Scenari-Aid is a free online tool providing real-world simulation activities. This study investigated if using Scenari-Aid improves maintenance of stuttering therapy outcomes. An ABAB single subject design (A: pre-access and withdrawal; B: Scenari-Aid access) was used. Post-treatment gains in communication attitude and social participation were maintained 6-months post-treatment. Some improvements in weekly measures were present from A1 to B1 but there were no changesfrom B1 to A2 or A2 to B2. The participant reported using Scenari-Aid to aid initial desensitisation and then only occasionally. Further research is necessary to clarify the role of Scenari-Aid in the maintenance of treatment gains.
Description:
Scenari-Aid is a free online tool providing real-world simulation activities. This study investigated if using Scenari-Aid improves maintenance of stuttering therapy outcomes. An ABAB single subject design (A: pre-access and withdrawal; B: Scenari-Aid access) was used. Post-treatment gains in communication attitude and social participation were maintained 6-months post-treatment. Some improvements in weekly measures were present from A1 to B1 but there were no changesfrom B1 to A2 or A2 to B2. The participant reported using Scenari-Aid to aid initial desensitisation and then only occasionally. Further research is necessary to clarify the role of Scenari-Aid in the maintenance of treatment gains.
Description:
Given the new direction and focus toward education in the early childhood sector, this PhD research study will investigate the mathematically-rich interactions that are occurring in three early childhood settings. RQ1: What constitutes a mathematically-rich interaction in the early childhood centre? RQ2: How do early childhood educators plan and scaffold for mathematically-rich interactions? RQ3: What role does the physical and socio-cultural environment play in the mathematically-rich interactions? RQ4: What role do children play in scaffolding each other’s mathematically-rich interactions?
Description:
Amongst other changes, ecodriving requires drivers to drive more smoothly – to “flow” the vehicle. In order to save fuel and reduce emissions drivers must operate at lower engine revolutions, change up gears as soon as possible, and anticipate traffic conditions and drive defensively. A field trial was conducted using a 30 km metropolitan circuit and B-double heavy vehicles. Compared to their pre-course measures, the trained group reduced their fuel consumption by an average of 27%, the number of gear changes by 29%, and the number of brake applications by 41%. Importantly, these gains were not offset by increases in the time taken to complete the circuit – indeed average speed increased slightly. Further, the benefits did not lose any strength 12 weeks after the training, at which point the pilot trial concluded – in fact for some variables the results continued to improve over time. The number of drivers participating in the trial was relatively small and some questions remain unanswered, including actual road safety implications, building a strong case for a larger trial.
Description:
Amongst other changes, ecodriving requires drivers to drive more smoothly – to “flow” the vehicle. In order to save fuel and reduce emissions drivers must operate at lower engine revolutions, change up gears as soon as possible, and anticipate traffic conditions and drive defensively. A field trial was conducted using a 30 km metropolitan circuit and B-double heavy vehicles. Compared to their pre-course measures, the trained group reduced their fuel consumption by an average of 27%, the number of gear changes by 29%, and the number of brake applications by 41%. Importantly, these gains were not offset by increases in the time taken to complete the circuit – indeed average speed increased slightly. Further, the benefits did not lose any strength 12 weeks after the training, at which point the pilot trial concluded – in fact for some variables the results continued to improve over time. The number of drivers participating in the trial was relatively small and some questions remain unanswered, including actual road safety implications, building a strong case for a larger trial.
Description:
In Wireless Sensor Networks (WSNs), nodes closer to an event are able to detect the event earlier and more accurately, thus contain more important information. Also, tiny nodes are usually scarce of energy and a major portion of their energy is used through communication. Therefore saving the energy by allowing only a limited number of communications is desirable in designing protocols for WSNs. We propose a data-driven Medium Access Control (MAC) protocol which allows only the more useful information to enter into the medium by using a modified contention mechanism and also suppressing other spatially-correlated data that are of less importance. Simulation results show that the proposed MAC outperforms the existing ones in terms of event reporting delay and packet delivery ratio for urgent data.
Description:
The purpose of this paper is to establish the plausibility of stock market and taxation revenue as a tool to boost economic growth using time series data of ten developing Asia countries over the period of 1990 to 2008. We conducted a stationary test of the variables, followed by cointegration analysis and multivariate Granger causality. This study reveals that, in the case of China, we find strong evidence in support of the relationship between each of the examined variables. There is however mix findings for others countries. This paper is only preliminary analysis. The number of countries to represent the developing Asia is very limited. The paper is the first to examine such relationship especially within the developing context. This paper contributes to the literature by offering a holistic view of the role of government revenue and stock market as they pertain to economic growth. The results are significant for investors, the authority and the policymakers.
Description:
In this study effects of binder type and content and curing time on the compressive strength development of cement paste backfill (CPB) is investigated. Moreover, the effects of binder type and content and water content on the rheological properties of CPB material were studied. To undertake an experimental study, tailings of a copper mine in South Australia are mixed with binder and water. A new slag-cement called Mine Cement (MC) and ordinary Portland cement (PC) are used as the primary binder materials. Furthermore, fly ash (FA) is used as an additive to reduce the amount of the cement. Some CPB samples were cured under pressure to be more representative of the field conditions. MC exhibited better performance that PC regarding compressive strength development. Fly ash improved the compressive strength of CPB. However, this binder observed to be much less cementitious compare to MC. Strength performance of the CPB sample significantly improved when there were cured under pressure. Based on the results obtained from the test undertaken using a rheometer, it was found that increasing the water content results in lower yield stress. The results also show that MC improves the rheological properties of the CPB.
Description:
In this study effects of binder type and content and curing time on the compressive strength development of cement paste backfill (CPB) is investigated. Moreover, the effects of binder type and content and water content on the rheological properties of CPB material were studied. To undertake an experimental study, tailings of a copper mine in South Australia are mixed with binder and water. A new slag-cement called Mine Cement (MC) and ordinary Portland cement (PC) are used as the primary binder materials. Furthermore, fly ash (FA) is used as an additive to reduce the amount of the cement. Some CPB samples were cured under pressure to be more representative of the field conditions. MC exhibited better performance that PC regarding compressive strength development. Fly ash improved the compressive strength of CPB. However, this binder observed to be much less cementitious compare to MC. Strength performance of the CPB sample significantly improved when there were cured under pressure. Based on the results obtained from the test undertaken using a rheometer, it was found that increasing the water content results in lower yield stress. The results also show that MC improves the rheological properties of the CPB.
Description:
This study reports the results of an experimental investigation into the use of ground rubber (GR) products, at varying contents and sizes/gradations, as a sustainable solution towards improving the inferior geotechnical attributes of a subgrade clay deposit located in Adelaide, South Australia. A total of seven soil–GR mix designs, consisting of one control (i.e., natural soil) and six GR-blended cases (at two GR contents and three GR sizes/gradations), were examined. As a result of GR inclusion, both the maximum dry unit weight and the optimum moisture content manifested a monotonically-decreasing trend; the exhibited reductions were in favour of both a higher GR content and a larger GR size. For any given GR size, the greater the GR content, the higher the developed UCS up to 5% GR, beyond which the dominant GR-to-GR interaction adversely influenced the UCS while still maintaining a notable advantage over the natural soil. The GR inclusions were able to control the soil’s swelling potential. The higher the GR content and/or the larger the GR size, the higher the reduction in swelling. Based on the experimental results, a suitable soil–GR mix design was adopted and applied to stabilise a subgrade clay deposit from a local road in Adelaide, Australia. In-situ field density testing confirmed that the soil–GR mixture is a suitable subgrade material.
Description:
Tree augmented naive Bayes is a semi-naive Bayesian Learning method. It relaxes the naive Bayes attribute independence assumption by employing a tree structure, in which each attribute only depends on the class and one other attribute. A maximum weighted spanning tree that maximizes the likelihood of the training data is used to perform classification.
Description:
The Internet of Things (IoT) has significantly increased the number of devices connected to the Internet ranging from sensors to multi-source data information. As the IoT continues to evolve with new technologies number of threats and attacks against IoT devices are on the increase. Analyzing and detecting these attacks originating from different sources needs machine learning models. These models provide proactive solutions for detecting attacks and their sources. In this paper, we propose to apply a supervised machine learning classification technique to identify cyber-attacks from each source. More precisely, we apply the incremental piecewise linear classifier that constructs boundary between sources/classes incrementally starting with one hyperplane and adding more hyperplanes at each iteration. The algorithm terminates when no further significant improvement of the separation of sources/classes is possible. The construction and usage of piecewise linear boundaries allows us to avoid any possible overfitting. We apply the incremental piecewise linear classifier on the multi-source real world cyber security data set to identify cyber-attacks and their sources.
Description:
Proceedings of the IEEE International Conference on Industrial Technology
Description:
The Internet of Things (IoT) has significantly increased the number of devices connected to the Internet ranging from sensors to multi-source data information. As the IoT continues to evolve with new technologies number of threats and attacks against IoT devices are on the increase. Analyzing and detecting these attacks originating from different sources needs machine learning models. These models provide proactive solutions for detecting attacks and their sources. In this paper, we propose to apply a supervised machine learning classification technique to identify cyber-attacks from each source. More precisely, we apply the incremental piecewise linear classifier that constructs boundary between sources/classes incrementally starting with one hyperplane and adding more hyperplanes at each iteration. The algorithm terminates when no further significant improvement of the separation of sources/classes is possible. The construction and usage of piecewise linear boundaries allows us to avoid any possible overfitting. We apply the incremental piecewise linear classifier on the multi-source real world cyber security data set to identify cyber-attacks and their sources.
Description:
Proceedings of the IEEE International Conference on Industrial Technology