Bluetooth and Wi-Fi MAC address based crowd data collection and monitoring : benefits, challenges and enhancement

This paper firstly presents the benefits and critical challenges on the use of Bluetooth and Wi-Fi for crowd data collection and monitoring. The major challenges include antenna characteristics, environment’s complexity and scanning features. Wi-Fi and Bluetooth are compared in this paper in terms of architecture, discovery time, popularity of use and signal strength. Type of antennas used and the environment’s complexity such as trees for outdoor and partitions for indoor spaces highly affect the scanning range. The aforementioned challenges are empirically evaluated by “real” experiments using Bluetooth and Wi-Fi Scanners. The issues related to the antenna characteristics are also highlighted by experimenting with different antenna types. Novel scanning approaches including Overlapped Zones and Single Point Multi-Range detection methods will be then presented and verified by real-world tests. These novel techniques will be applied for location identification of the MAC IDs captured that can extract more information about people movement dynamics.

Critical review of time-dependent shortest path algorithms: A multimodal trip planner perspective

A multimodal trip planner that produces optimal journeys involving both public transport and private vehicle legs has to solve a number of shortest path problems, both on the road network and the public transport network. The algorithms that are used to solve these shortest path problems have been researched since the late 1950s. However, in order to provide accurate journey plans that can be trusted by the user, the variability of travel times caused by traffic congestion must be taken into consideration. This requires the use of more sophisticated time-dependent shortest path algorithms, which have only been researched in depth over the last two decades, from the mid-1990s. This paper will review and compare nine algorithms that have been proposed in the literature, discussing the advantages and disadvantages of each algorithm on the basis of five important criteria that must be considered when choosing one or more of them to implement in a multimodal trip planner.

Methodology for developing real-time motorway traffic risk identification models using individual-vehicle data

Most of existing motorway traffic safety studies using disaggregate traffic flow data aim at developing models for identifying real-time traffic risks by comparing pre-crash and non-crash conditions. One of serious shortcomings in those studies is that non-crash conditions are arbitrarily selected and hence, not representative, i.e. selected non-crash data might not be the right data comparable with pre-crash data; the non-crash/pre-crash ratio is arbitrarily decided and neglects the abundance of non-crash over pre-crash conditions; etc. Here, we present a methodology for developing a real-time MotorwaY Traffic Risk Identification Model (MyTRIM) using individual vehicle data, meteorological data, and crash data. Non-crash data are clustered into groups called traffic regimes. Thereafter, pre-crash data are classified into regimes to match with relevant non-crash data. Among totally eight traffic regimes obtained, four highly risky regimes were identified; three regime-based Risk Identification Models (RIM) with sufficient pre-crash data were developed. MyTRIM memorizes the latest risk evolution identified by RIM to predict near future risks. Traffic practitioners can decide MyTRIM’s memory size based on the trade-off between detection and false alarm rates. Decreasing the memory size from 5 to 1 precipitates the increase of detection rate from 65.0% to 100.0% and of false alarm rate from 0.21% to 3.68%. Moreover, critical factors in differentiating pre-crash and non-crash conditions are recognized and usable for developing preventive measures. MyTRIM can be used by practitioners in real-time as an independent tool to make online decision or integrated with existing traffic management systems.

Bluetooth vehicle trajectory by fusing Bluetooth and loops : motorway travel time statistics

Loop detectors are widely used on the motorway networks where they provide point speed and traffic volumes. Models have been proposed for temporal and spatial generalization of speed for average travel time estimation. Advancement in technology provides complementary data sources such as Bluetooth MAC Scanner (BMS), detecting the MAC ID of the Bluetooth devices transported by the traveller. Matching the data from two BMS stations provides individual vehicle travel time. Generally, on the motorways loops are closely spaced, whereas BMS are placed few kilometres apart. In this research, we fuse BMSs and loops data to define the trajectories of the Bluetooth vehicles. The trajectories are utilised to estimate the travel time statistics between any two points along the motorway. The proposed model is tested using simulation and validated with real data from Pacific motorway, Brisbane. Comparing the model with the linear interpolation based trajectory provides significant improvements.

Public transport travel time variability definitions and monitoring

Public Transport Travel Time Variability (PTTV) is essential for understanding the deteriorations in the reliability of travel time, optimizing transit schedules and route choices. This paper establishes the key definitions of PTTV in which firstly include all buses, and secondly include only a single service from a bus route. The paper then analyzes the day-to-day distribution of public transport travel time by using Transit Signal Priority data. A comprehensive approach, using both parametric bootstrapping Kolmogorov-Smirnov test and Bayesian Information Creation technique is developed, recommends Lognormal distribution as the best descriptor of bus travel time on urban corridors. The probability density function of Lognormal distribution is finally used for calculating probability indicators of PTTV. The findings of this study are useful for both traffic managers and statisticians for planning and analyzing the transit systems.

Invasive and metastatic properties of MCF-7 cells and ras(H)-transfected MCF-7 cell lines

In vitro invasion and in vivo metastasis assays were performed with a panel of MCF-7 cells transfected with isogenic constructs of mutated ras(H) genes. Both increased levels of ras(H) expression and ras(H) oncogene activation increased activity of derivative cell lines in in vitro invasion assays. In vivo formation of spontaneous metastases was assessed after intradermal inoculation of MCF-7 cells in the vicinity of the mammary fat pads of ovariectomized nude mice. No metastases were seen in the absence of estradiol treatment of the mice. With estradiol supplementation of the mice both the ras(H)-transfected and control transfected cell lines gave a higher incidence of metastases than parental MCF-7 cells. Prolonged treatment of mice with exogenous estradiol (60 days vs. 21 days) resulted in more frequent metastases to liver and lung at the end of the 90-day observation period. In contrast to activated ras(H)-gene enhancement of metastatic capacity of rodent fibroblast and epithelial cell lines, there was no correlation of ras(H) expression with in vivo metastatic capacity of a human mammary carcinoma cell line.

Creative Work Beyond the Creative Industries: An Introduction

Creative occupations exist across the entire economy. The creative worker’s habitus cannot be discovered by looking only in film studios, games companies or artist’s garrets. Work practices, evolved through the traditions of the creative and performing arts, are now deployed to create new services and products across all sectors, to develop process innovations, and to change the distribution thereof. Yet the bulk of academic study of creative work (both functionalist and critical), as well as the content of higher/further professional education programs and everyday understanding of creative workers, focuses on one subset of the Creative Industries: those involved in the production of cultural goods or services (film, television, music etc.) for consumption by the general public. And further, the bulk of existing academic work focuses on those creative workers employed in cultural production industries. However, as recent work has shown, this focus misses both the large (and increasing) number of creative workers embedded in industries beyond the core Creative Industries (for example, manufacturing, banking, mining) and those creative workers and firms that supply services to business as well as to the general public, such as architects, technical writers, and graphic designers (see Cunningham 2013; Potts and Cunningham 2008; Potts, Cunningham, Hartley and Omerod 2008). This book focuses on this subset of very important, and yet under-recognized creative workers: embedded creative workers and providers of creative services into other sectors of the economy, as indicated in the following taxonomy (Figure 1.1), which juxtaposes occupation and industry sector...

Embedded creatives in Australian healthcare: An update

The contribution of creative occupations to Australian healthcare was examined using a mix of statistics and case studies. Creative occupations were found to be making widespread contributions in healthcare, in particular, to the development and delivery of healthcare goods and services, the initial training and ongoing professionalism of doctors and nurses and the effective functioning of healthcare buildings. Within most facets of healthcare, increasing employment over the period examined indicated that these contributions were growing. Key functions that creative activities addressed were information management and analysis and making complex information comprehensible, assisting communication and reducing psycho-social and distance-mediated barriers, and improving the efficiency and effectiveness of services.

Embedded creatives in the Australian manufacturing industry

According to 2011 Australian Census figures, embedded creative employees (creative employees not working in the core Creative Industries) make up 2 per cent (or a total of 17 635) of manufacturing industry employees. The average for all industries is 1.6 per cent. In the 2011–2012 financial year the manufacturing industry formed 7.3 per cent of Australia’s gross domestic product (GDP), contributing approximately AU$106.5 billion to the economy (Department of Industry, Innovation, Science, Research and Tertiary Education 2013). Manufacturing is central to innovation, accounting for over one-quarter of all business expenditure in R&D in 2010–2011, representing around AU$4.8 billion invested in R&D (ibid.). Facing challenges such as sustainability concerns, ever-increasing offshore production and the global financial crisis, the Australian manufacturing industry needs to remain relevant and competitive to succeed. Innovation is one way to do this. Given the contribution of the manufacturing industry to the Australian economy, and the above-average portion of embedded creatives in manufacturing, it is important to consider what exactly embedded creatives add to the industry. This chapter, inspired by the Getting Creative in Healthcare report (Pagan, Higgs and Cunningham 2008), examines the contribution of embedded creatives to innovation in the manufacturing industry via case studies and supplemental data.

Noisy Bluetooth traffic data?

Traffic state estimation in an urban road network remains a challenge for traffic models and the question of how such a network performs remains a difficult one to answer for traffic operators. Lack of detailed traffic information has long restricted research in this area. The introduction of Bluetooth into the automotive world presented an alternative that has now developed to a stage where large-scale test-beds are becoming available, for traffic monitoring and model validation purposes. But how much confidence should we have in such data? This paper aims to give an overview of the usage of Bluetooth, primarily for the city-scale management of urban transport networks, and to encourage researchers and practitioners to take a more cautious look at what is currently understood as a mature technology for monitoring travellers in urban environments. We argue that the full value of this technology is yet to be realised, for the analytical accuracies peculiar to the data have still to be adequately resolved.

All-environment visual place recognition with SMART

This paper presents Sequence Matching Across Route Traversals (SMART); a generally applicable sequence-based place recognition algorithm. SMART provides invariance to changes in illumination and vehicle speed while also providing moderate pose invariance and robustness to environmental aliasing. We evaluate SMART on vehicles travelling at highly variable speeds in two challenging environments; firstly, on an all-terrain vehicle in an off-road, forest track and secondly, using a passenger car traversing an urban environment across day and night. We provide comparative results to the current state-of-the-art SeqSLAM algorithm and investigate the effects of altering SMART’s image matching parameters. Additionally, we conduct an extensive study of the relationship between image sequence length and SMART’s matching performance. Our results show viable place recognition performance in both environments with short 10-metre sequences, and up to 96% recall at 100% precision across extreme day-night cycles when longer image sequences are used.

Graduate careers in journalism, media and communications within and outside the sector : early career outcomes, trajectories and capabilities

This chapter addresses the radical paucity of empirical data about the career destinations of journalism, media and communications graduates from degree programs. We report findings from a study of ten years of graduates from Queensland University of Technology’s courses in journalism, media, and communication studies, using a ‘Creative Trident’ lens to analyse micro individual survey data. The study findings engage with creative labour precarity discussions, and also assertions of creative graduate oversupply suggested by national graduate outcome statistics. We describe the graduates’ employment outcomes, characterise their early career movements into and out of embedded and specialist employment, and compare the capability requirements and degree of course relevance reported by graduates employed in the different Trident segments. Given that in general the graduates in this study enjoyed very positive employment outcomes, but that there were systematic differences in reported course relevance by segment of employment and role, we also consider how university programs can best engage with the task of educating students for a surprisingly diverse range of media and communication-related occupational outcomes within and outside the creative industries.

STOF Model : critical design issues and critical success factors

In this chapter we will make the transition towards the design of business models and the related critical issues. We develop a model that helps us understand the causalities that play a role in understanding the viability and feasibility of the business models, i.e. long-term profitability and market adoption. We argue that designing viable business models requires balancing the requirements and interests of the actors involved, within and between the various business model domains. Requirements in the service domain guide the design choices in the technology domain, which in turn affect network formation and the financial arrangements. It is important to understand the Critical Design Issues (CDIs) involved in business models and their interdependencies. In this chapter, we present the Critical Design Issues involved in designing mobile service business models, and demonstrate how they are linked to the Critical Success Factors (CSFs) with regard to business model viability. This results in a causal model for understanding business model viability, as well as providing grounding for the business model design approach outlined in Chapter 5.

An examination of microfinance self-help groups and the poorest of the poor women in Tamil Nadu, India

This study examined the formation and operation of women's microfinance self-help groups in southern India and investigated whether or not the poorest of the poor women were accepted as members of those groups. The study found that caste was used as a selection criterion. Many eligible women excluded themselves from joining the self-help group due to their own lack of education, age, poor health, poverty and lack of trust in the system. The research revealed that self-help groups enhanced women's income and education, improved village infrastructure, and reduced household conflict. Factors that might prevent inclusion of the poorest of the poor in future microfinance programs were identified.

Interchangeability of infrared and conductive devices for the measurement of human skin temperature

This thesis is a comparative investigation of the methodology applied to human skin temperature measurement. The findings of this thesis suggest that clinical and significant differences exist between conductive and infrared devices which are commonly employed in the assessment of human skin temperature. These significant differences could potentially influence the interpretation of results, diagnosis and therefore treatment outcomes for health, clinical and exercise science applications.