Development of a multimedia data acquisition toolkit and its application for exchanging demolished materials

In the development of a web-based information system such as a demolition material management system, a great amount of diversified information on projects should be acquired from particular users located with various computer platforms. This issue is difficult to handle using the limited HTTP form submission, which could lead to inaccuracy of the information and inefficiency of the whole system. This paper describes a web-based graphical user interfaced, dynamic and distributed multimedia data acquisition mechanism, which accepts users' drawings and retrieval information from the canvas and stores the multimedia data on a server for further usages. Furthermore, techniques and principles needed to construct such a multimedia data acquisition tool are addressed in detail. The application of this distributed multimedia tool in developing a web-based demolition material management system is also described.

Development of a new versatile computer controlled electrochemical/ESR data acquisition system

A new versatile computer controlled electrochemlcal/ESR data acquisition system has been developed for the Investigation of short-lived radicals with life-times of 20 milliseconds and greater, Different computer programs have been developed to monitor the decay of radicals; over hours or minutes, seconds or milliseconds. Signal averaging and Fourier smoothing is employed in order to improve the signal to noise ratio. Two microcomputers are used to control the system, one home-made computer containing the M6800 chip which controls the magnetic field, and an IBM PC XT which controls the electrochemistry and the data acquisition. The computer programs are written in Fortran and C, and call machine language subroutines, The system functions by having the radical generated by an electrochemical pulse: after or during the pulse the ESR data are collected. Decaying radicals which have half-lives of seconds or greater have their spectra collected in the magnetic field domain, which can be swept as fast as 200 Gauss per second. The decay of the radicals in the millisecond region is monitored by time-resolved ESR: a technique in which data is collected in both the time domain and in the magnetic field domain. Previously, time-resolved ESR has been used (without field modulation) to investigate ultra-short-lived species with life-times in the region of only a few microseconds. The application of the data acquisition system to chemical systems is illustrated. This is the first time a computer controlled system whereby the radical is generated by electrochemical means and subsequently the ESR data collected, has been developed.

Removing the ambiguity of data processing methods: Optimizing the location of peak boundaries for accurate moment calculations

The calculation of the first few moments of elution peaks is necessary to determine: the amount of component in the sample (peak area or zeroth moment), the retention factor (first moment), and the column efficiency (second moment). It is a time consuming and tedious task for the analyst to perform these calculations, thus data analysis is generally completed by data stations associated to modern chromatographs. However, data acquisition software is a black box which provides no information to chromatographers on how their data are treated. These results are too important to be accepted on blind faith. The location of the peak integration boundaries is most important. In this manuscript, we explore the relationships between the size of the integration area, the relative position of the peak maximum within this area, and the accuracy of the calculated moments. We found that relationships between these parameters do exist and that computers can be programmed with relatively simple routines to automatize the extraction of key peak parameters and to select acceptable integration boundaries. It was also found that the most accurate results are obtained when the S/N exceeds 200.

PPFSCADA: Privacy preserving framework for SCADA data publishing

Supervisory Control and Data Acquisition (SCADA) systems control and monitor industrial and critical infrastructure functions, such as electricity, gas, water, waste, railway, and traffic. Recent attacks on SCADA systems highlight the need for stronger SCADA security. Thus, sharing SCADA traffic data has become a vital requirement in SCADA systems to analyze security risks and develop appropriate security solutions. However, inappropriate sharing and usage of SCADA data could threaten the privacy of companies and prevent sharing of data. In this paper, we present a privacy preserving strategy-based permutation technique called PPFSCADA framework, in which data privacy, statistical properties and data mining utilities can be controlled at the same time. In particular, our proposed approach involves: (i) vertically partitioning the original data set to improve the performance of perturbation; (ii) developing a framework to deal with various types of network traffic data including numerical, categorical and hierarchical attributes; (iii) grouping the portioned sets into a number of clusters based on the proposed framework; and (iv) the perturbation process is accomplished by the alteration of the original attribute value by a new value (clusters centroid). The effectiveness of the proposed PPFSCADA framework is shown through several experiments on simulated SCADA, intrusion detection and network traffic data sets. Through experimental analysis, we show that PPFSCADA effectively deals with multivariate traffic attributes, producing compatible results as the original data, and also substantially improving the performance of the five supervised approaches and provides high level of privacy protection. © 2014 Published by Elsevier B.V. All rights reserved.

ó-SCLOPE : clustering categorical streams using attribute selection

Clustering is a difficult problem especially when we consider the task in the context of a data stream of categorical attributes. In this paper, we propose σ-SCLOPE, a novel algorithm based on SCLOPE’s intuitive observation about cluster histograms. Unlike SCLOPE however, our algorithm consumes less memory per window and has a better clustering runtime for the same data stream in a given window. This positions σ-SCLOPE as a more attractive option over SCLOPE if a minor lost of clustering accuracy is insignificant in the application.

Development of an internet supportive platform for online teaching and learning of construction planning and scheduling

Construction Planning and Scheduling is taught for the fIrst time ill Semester 2, 2004 in the School of Architecture and Building, Deakin University. During the unit development process and the implementation of teaching activities, several issues arose in relation to implementing computer-aided construction scheduling and unit delivery in a unitary environment. Although various types of construction planning and scheduling software have been developed and applied, none of them can be run inside an online teaching software package, which provides powerful functions in administration. This research aims to explore the strategies to connect a project planning and scheduling software package and an online ~aching and learning software package by a Web-based support platform so that both the lecturer and students can draw up and communicate a construction plan or schedule with tables and fIgures. The key techniques of this supportive platfonn are idt;nlifies and they include a web-based graphically user-interfaced, dynamic and distributed multimedia data acquisition mechanism, which accepts users' drawings and retrieval information from canvas and stores the multimedia data ona server for further usage. This paper demonstrates the techniques and principals needed to construct such a multimedia data acquisition tool. This. research will fill the gap.in the literature in respect to an online pedagogical solution to an existing problem.

Modelling yarn balloon motion in ring spinning

Air-drag on a ballooning yarn and balloon shape affect the yarn tension and ends-down (yarn breakage), which in turn affects energy consumption and yarn productivity in ring spinning. In this article, a mathematical model of yarn ballooning motion in ring spinning is established. The model can be used to generate balloon shape and predict tension in the ballooning yarn under given spinning conditions. Yarn tension was measured using a computer data acquisition system and the balloon shapes were captured using a digital camera with video capability during the experiments using cotton and wool yarns at various balloon-heights and with varying yarn-length in the balloon. The air-drag coefficients on ballooning cotton and wool yarns in ring spinning were estimated by making a “best fit” between the theoretical and experimental turning points. The theoretical results were verified with experimental data. The effects of air-drag and balloon shape on yarn tension are discussed.

Elevated intracardiac angiotensin II leads to cardiac hypertrophy and mechanical dysfunction in normotensive mice

Introduction
Angiotensin II (Ang II) is known to induce cardiac growth and modulate myocardial contractility. It has been reported that elevated levels of endogenous Ang II contribute to the development of cardiac hypertrophy in hypertensives. However, the long-term functional effects of cardiac exposure to Ang II in normotensives is unclear.

A recently developed transgenic mouse (TG1306/1R), in which cardiac-specific overproduction of Ang II produces primary hypertrophy, provides a new experimental model for investigation of this phenotype. The aim of the present study was to use this model to investigate whether there is a functional deficit in primary hypertrophy that may predispose to cardiac failure and sudden death. We hypothesised that primary cardiac hypertrophy is associated with mechanical dysfunction in the basal state.

Methods
Normotensive heterozygous TG1306/1R mice harbouring multiple copies of a cardiac-specific rat angiotensinogen gene were studied at age 30—40 weeks and compared with age-matched wild-type littermates. Left ventricular function was measured ex vivo in bicarbonate buffer-perfused, Langendorffmounted hearts ( at a perfusion pressure of 80 mmHg, 37°C) using a fluid-filled PVC balloon interfaced to a pressure transducer and digital data acquisition system.

Results
There was no difference in the mean (±SEM) intrinsic heart rate of TG1306/1R and wild-type control mice (357.4±11.8 vs. 367.5±20.9 bpm, n=9 & 7). Under standardised end-diastolic pressure conditions, TG1306/1R hearts exhibited a significant reduction in peak developed pressure (132.2±9.4 vs. 161.5±3.1 mmHg, n=9 & 7, p<0.05) and maximum rate of pressure development (3566.7±323.7 vs. 4486.3±109.4 mmHg, n=9 & 7, p<0.05). TG1306/1R mice show a significant correlation between incidence of arrhythmia and increasing heart size (Spearman's correlation coefficient 0.61).

Conclusion
These data demonstrate that chronic in vivo exposure to elevated levels of intra-cardiac Ang II is associated with significant contractile abnormalities evident in the ex vivo intact heart. Our findings suggest that endogenous overproduction of cardiac Ang II, independent of changes in blood pressure, is sufficient to induce ventricular remodelling that culminates in impaired cardiac function which may precede failure.

Development and application of electroanalytical field-based chemical monitoring systems

The development and application of a novel combination of electrochemical techniques and computerized field-based battery-operated instrumentation is investigated. Low-power complementary metal oxide semiconductor technology has been utilized for the development of the field data acquisition systems and the instrumental performance of the complete analytical system is critically evaluated.

Virtual ampang Jaya

Virtual Ampang Jaya is an interactive visualization environment for modeling urban growth and spatio-temporal transformation to expose and evaluate the different layers of Ampang Jaya, consisting of social, economic, built and natural environments. The research will investigate the techniques of data acquisition, data reconstruction from physical to digital, urban analysis and visualization in constructing a digital model which may include low geometric content such as 2D digital maps and digital orthographics to high geometric content such as full volumetric parametric modeling. The process will integrate the state of the art GIS system to explore GIS powerful analytical and querying capabilities with interactive visualization environment as well as test the model as a predictive tool. The model will set as an experimental test pad in providing a new platform to support decision making about the spatial growth of Ampang Jaya by the various stakeholders in the planning processes. Such an environment will improve the subsequent digital models and research in the area of urban design and planning where visual communication is central.

Virtual melawati : 3D GIS as a decision support tool for urban planning

Virtual Melawati is an environment for developing expertise in the application of 3D interactive visualization and GIS (Geographic Information System) to address problems of the built environment and to test the model as a decision support tool in the context of the local planning authorities in Malaysia. The visual approach enables the integration of highly complex spatial GIS information such as the evolution and transformation of the urban precinct as well as the impact of planned developments into the decision making process. The study will examine the techniques of data acquisition, data reconstruction from physical to digital, urban analysis and visualization in constructing an interactive 3D GIS model to support and assist the decision making process in urban design and planning. The outcomes of the study will deliver an experimental test bed for improving decision making processes in urban planning and design utilizing 3D modeling and GIS. The project will accelerate the uptake of digital and multimedia methods in local government, facilitate current planning and consultation processes between councils and stakeholders and improve the dissemination and management of spatial information about urban environments.

Factors influencing the winter haulout behaviour of Weddell seals : consequences for satellite telemetry

An understanding of pinniped haulout behaviour can provide information on how animals interact with their environment, their foraging strategies and the behaviour of their prey. For Weddell seals Leptonychotes weddelli, knowledge of haulout patterns and the environmental drivers of haulout is comprehensive for the austral spring and summer, but is poorly described outside this period. Pinniped behaviour is commonly examined using satellite telemetry; however, it is unclear whether the behavioural state of the seal can itself influence data acquisition. We examined haulout behaviour of female Weddell seals in eastern Antarctica over 3 winters (March to August, 2006–2008) using satellite-linked data loggers. Haulout behaviour followed a diel cycle with predominantly nocturnal haulouts. The environmental variables wind speed and temperature were influential on haulout, with seals tending to haul out more in lower winds and at higher temperatures. Haulout duration decreased across the winter, as did the number of satellite uplinks, suggesting that haulout duration played a role in data acquisition. There was no evidence of a decline in tag condition over this period, indicating that the decrease in uplinks was primarily the result of the winter behaviour of the seals. Overall, the number of haulout locations in the data set was over-represented, with more uplinks per hour occurring when the seals were hauled out than when they were at sea. For Weddell seals and other ice seals, tracking data that include haulout locations can bias spatial representations of foraging behaviour (e.g. haulout sites may be mistaken for regions of area-restricted search).

Efficient cross-validation of the complete two stages in KFD classifier formulation

This paper presents an efficient evaluation algorithm for cross-validating the two-stage approach of KFD classifiers. The proposed algorithm is of the same complexity level as the existing indirect efficient cross-validation methods but it is more reliable since it is direct and constitutes exact cross-validation for the KFD classifier formulation. Simulations demonstrate that the proposed algorithm is almost as fast as the existing fast indirect evaluation algorithm and the twostage cross-validation selects better models on most of the thirteen benchmark data sets.