Built to Last: Funding Our Nation\u27s Highways

Built to Last: Funding Our Nation’s Highways—A major funding shortfall exists for fixing our crumbling infrastructure. Tolling can be a viable solution to close this gap. This presentation will focus on the revenue generated by tolling the Interstate system and barriers to implementing a tolling scenario. The cost to the average consumer will also be addressed and how this can be a win-win for all users

Why is Indiana using P3s?

Trends in Public-Private Partnerships—This presentation will examine the current trends in public-private partnerships for infrastructure. Are P3s already yesterday’s news? Who’s for them and who’s against them? What are owners really trying to do with this strategic finance and delivery tool? What impact will the bankruptcy of the concessionaire for the Indiana Toll Road have on P3s

Rethinking the Patch Test for Phase Measuring Bathymetric Sonars

While conducting hydrographic survey operations in the Florida Keys, NOAA Ship Thomas Jefferson served as a test platform for the initial operational implementation of an L-3 Klein HydroChart 5000 Swath Bathymetry Sonar System1 , a hull-mounted phase measuring bathymetric sonar (PMBS). During the project it became apparent that the traditional patch test typically utilized for multibeam echosounder (MBES) systems was poorly suited to the HydroChart – and perhaps other PMBS systems as well. These systems have several inherent characteristics that make it difficult to isolate and subsequently solve for biases under the traditional patch test paradigm: presence of a nadir gap, wide swaths (typically greater than 6 times water depth), and relatively poor object-detection capability in the outer swath. After “rethinking” the patch test to account for these characteristics, the authors propose a new patch test paradigm that is better suited to the HydroChart and other PMBS systems

Operations management in high value manufacturing

This paper explores the issue of high value manufacturing from an operations management perspective and discusses the critical role that the operations management community must play in moving manufacturing organisations to 'higher value ground'. An exploratory study was carried out in two phases. In Phase 1 existing literature was examined following a systematic review process. This was followed by a stakeholder analysis that included manufacturing companies, government agencies and consultancies and case studies of three organisations that had recently repositioned their businesses. Phase 2 comprised of a focus group based industry consultation exercise. The aim of the second phase was to validate and refine the findings from the initial phase and to generate the key ideas that would inform a future research agenda. This paper provides the foundation for further research by identifying those operational issues that are affecting industry as it seeks to move to higher value ground

Manufacturing in Scotland

Set against the backdrop of current thinking that UK manufacturing needs to move into higher value, this report, commissioned on behalf of the Scottish Manufacturing Advisory Service (SMAS) Board, set out to: Give an account of the current status of manufacturing SME’s in Scotland including current activities, aspirations, strategies and challenges facing them; Assess the progress Scotland has made towards high value manufacturing; Make recommendations as to the type of support needed to enable Scottish manufacturing SMEs invest in their long-term future. The resulting report is based on findings of a survey that delivered responses from 435 Scottish manufacturing companies and in-depth interviews with directors of 45 companies. This research was carried out during the period April to September 2008. Our research suggests that there have been significant shifts within manufacturing SMEs in Scotland. The most notable shifts include: A shift in the basis of competition. Our research suggests that the primary basis of competition for Scottish manufacturing SMEs is not price. Increasingly Scottish SMEs are adding value through quality and customer service. A shift in the nature and scope of operations. Whilst the primary business function of manufacturing companies remains production, there is evidence of increasing levels of design and service activity taking place. Companies reported they expected this trend to continue as the shift in the basis of competition away from price towards innovation and customer service gains pace. These changes suggest a move towards high value manufacturing. However there are major challenges facing Scottish SMEs if they are to compete on new value propositions. Of particular concern are: Lack of strategic vision and understanding of the capabilities and competencies needed to compete on the new value propositions. Whilst companies largely recognise the need to improve manufacturing efficiency, many have not embraced the need to develop and improve processes that deliver value to the customer (eg. Customer service processes, new product development processes etc). If customer service, innovation and quality are key differentiators and the way they add value, then companies need to ensure they have sustainable processes to deliver this value. Changes in operational activity have tended to be the result of evolution and opportunity rather than coherent operational strategy. Many companies need help in generating and enacting strategic change There is a lack of appreciation of the potential value of innovation in delivering value (and indeed the understanding of innovation in its many guises). Almost all companies interviewed reported some problems finding and retaining staff. Whilst in some cases labour shortages were due to specific skills and knowledge, there was also a general problem recruiting people with basic employability who had a desire to work in manufacturing. The poor image of manufacturing was a worry to the vast majority of interviewees. Many companies recognised the potential to exploit opportunities overseas. Some alluded to the fact that it might not be enough to market and export overseas, but that a manufacturing presence may be needed to fully exploit the opportunity. In terms of the support needed, companies stated that they would be looking increasingly for help and support in the areas of manufacturing efficiency and sales and marketing. Supply chain was also an area where companies reported they would be looking for help and support. Companies also suggested that they would like to see improvements in terms of “community”, with a number of interviewees looking for help in accessing not just help and support, but also introductions to other organisations. The research team believe that whilst not always recognised by the companies, support is also needed in the areas of strategy (and linked to this leadership) and in developing and improving processes that add value. Finally, the research suggests worryingly low levels of manufacturing entrepreneurship in Scotland, with only 3% of companies surveyed established within the past 5 years. This is worthy of further investigation. 4 Key findings and recommendations are expanded upon in Table 1. However the key recommendations can be summarised as: Manufacturing SMEs continue to require support in manufacturing efficiency, sales and marketing and supply chain. As companies move away from price as the main basis for competition and towards alternative value propositions, they also need support in developing and enacting strategy. Of particular urgency, companies need help in developing and improving the processes and capabilities that deliver value (beyond traditional manufacturing) Establishing processes that support innovation and product development will be central to the sustainability of many Scottish SMEs Further work needs to be done to investigate the apparent low levels of manufacturing start-ups Further work is needed to understand the areas where Scottish SMEs can actually compete on high volume /low complexity – often due to “localisation” factors Consideration should be given to supporting companies who wish to establish manufacturing overseas to exploit global opportunitiesA skills strategy must be created in line with the needs of manufacturing industry The poor image of manufacturing in Scotland needs to be addresse

Alternative Delivery: Beyond Design-Build

Owners are facing increased pressure to deliver major infrastructure projects in a timely and cost-efficient manner. Pain from inflation and labor/material short- ages are felt nationwide. To maximize limited budgets, owners are exploring alternative delivery methods. Attendees will learn about the benefits and pitfalls of progressive design-build (PDB) and construction manager/general contractor (CM/GC). Presenters will share best practices for determining if PDB and CM/GC are appropriate for your project and provide case study examples

Traffic modeling in mobile internet protocol : version 6.

Thesis (M.Sc.Eng.)-University of KwaZulu-Natal, Durban, 2005.Mobile Internet Protocol Version 6 (lPv6) is the new version of the Internet Protocol (IP) born out of the great success of Internet Protocol version 4 (IPv4). The motivation behind the development of Mobile IPv6 standard stems from user's demand for mobile devices which can connect and move seamlessly across a growing number of connectivity options. It is both suitable for mobility between subnets across homogenous and inhomogeneous media. The protocol allows a mobile node to communicate with other hosts after changing its point of attachment from one subnet to another. The huge address space available meets the requirements for rapid development of internet as the number of mobile nodes increases tremendously with the rapid expansion of the internet. Mobility, security and quality of service (QoS) being integrated in Mobile TPv6 makes it the important foundation stone for building the mobile information society and the future internet. Convergence between current network technologies: the intern et and mobile telephony is taking place, but the internet's IP routing was designed to work with conventional static nodes. Mobile IPv6 is therefore considered to be one of the key technologies for realizing convergence which enables seamless communication between fixed and mobile access networks. For this reason, there is numerous works in location registrations and mobility management, traffic modeling, QoS, routing procedures etc. To meet the increased demand for mobile telecommunications, traffic modeling is an important step towards understanding and solving performance problems in the future wireless IP networks. Understanding the nature of this traffic, identifying its characteristics and developing appropriate traffic models coupled with appropriate mobility management architectures are of great importance to the traffic engineering and performance evaluation of these networks. It is imperative that the mobility management used keeps providing good performance to mobile users and maintain network load due to signaling and packet delivery as low as possible. To reduce this load, Intemet Engineering Task Force (IETF) proposed a regional mobility management. The load is reduced by allowing local migrations to be handled locally transparent from the Home Agent and the Correspondent Node as the mobile nodes roams freely around the network. This dissertation tackles two major aspects. Firstly, we propose the dynamic regional mobility management (DRMM) architecture with the aim to minimize network load while keeping an optimal number of access routers in the region. The mobility management is dynamic based on the movement and population of the mobile nodes around the network. Most traffic models in telecommunication networks have been based on the exponential Poisson processes. This model unfortunately has been proved to be unsuitable for modeling busty IP traffic. Several approaches to model IP traffic using Markovian processes have been developed using the Batch Markovian Alrival Process (BMAP) by characterizing arrivals as batches of sizes of different distributions. The BMAP is constructed by generalizing batch Poisson processes to allow for non-exponential times between arrivals of batches while maintaining an underlying Markovian structure. The second aspect of this dissertation covers the traffic characterization. We give the analysis of an access router as a single server queue with unlimited waiting space under a non pre-emptive priority queuing discipline. We model the arrival process as a superposition of BMAP processes. We characterize the superimposed arrival processes using the BMAP presentation. We derive the queue length and waiting time for this type of queuing system. Performance of this traffic model is evaluated by obtaining numerical results in terms of queue length and waiting time and its distribution for the high and low priority traffic. We finally present a call admission control scheme that supports QoS

Professional soccer practitioners’ perceptions of using performance analysis technology to monitor technical and tactical player characteristics within an academy environment: A category 1 club case study

This study aimed to identify professional soccer practitioners’ perceptions of the application of performance analysis technology within a single academy club. Secondary aims were to understand the importance that practitioners place on monitoring technical and tactical player characteristics, current practices, and barriers to implementing wearable technology. Utilising a mixed method design, forty-four professional soccer academy practitioners (Age= 32 ± 5.8; Years of experience= 8.5 ± 6.2) completed an online survey intended to examine present trends, professional practices, and perceptions regarding the monitoring of technical and tactical metrics. Frequency and percentages of responses for individual items were calculated. Subsequently, eleven participants who were directly involved with the monitoring of players were recruited to participate in a semi-structured interview. Interview data was transcribed and analysed using a combination of deductive and inductive approaches to identify key themes. The main findings across both phases of the study were that (1) technical and tactical metrics are monitored more frequently in matches (Technical: 89%; tactical: 91%) than training (Technical: 80%; Tactical 64%), predominantly due to time constraints and staffing numbers. Accordingly, practitioners believe that it would be beneficial to have an automated way of tracking technical (79%) and tactical (71%) metrics and would consider using a foot-mounted IMU to do so (technical (68%) and tactical (57%)). (2) Monitoring technical and tactical metrics is beneficial to assist with player development and to enrich feedback provision (3) Key stake holders, coaches and players should be informed of the relevance and rationale for monitoring. (4) For successful implementation and continued uptake, the information delivered needs to be both meaningful and easy to understand. Findings suggest that although participants appreciate the need to collect technical and tactical metrics, they are keen to ensure that wearable-derived data does not replace experiential and contextual knowledge. Accordingly, practitioners need to work closely with coaches to determine the contexts in which metrics may or may not prove useful. However, as the sample comprised of participants from a single academy, further studies including more practitioners are warranted. Likewise, future research could also extend to include academy soccer players perceptions too

Deep Spiking Neural Network model for time-variant signals classification: a real-time speech recognition approach

Speech recognition has become an important task to improve the human-machine interface. Taking into account the limitations of current automatic speech recognition systems, like non-real time cloud-based solutions or power demand, recent interest for neural networks and bio-inspired systems has motivated the implementation of new techniques. Among them, a combination of spiking neural networks and neuromorphic auditory sensors offer an alternative to carry out the human-like speech processing task. In this approach, a spiking convolutional neural network model was implemented, in which the weights of connections were calculated by training a convolutional neural network with specific activation functions, using firing rate-based static images with the spiking information obtained from a neuromorphic cochlea. The system was trained and tested with a large dataset that contains ”left” and ”right” speech commands, achieving 89.90% accuracy. A novel spiking neural network model has been proposed to adapt the network that has been trained with static images to a non-static processing approach, making it possible to classify audio signals and time series in real time.Ministerio de Economía y Competitividad TEC2016-77785-