Conjugated polymer−titania nanoparticle hybrid films : random lasing action and ultrasensitive detection of explosive vapors

We have first demonstrated that a random laser action generated by a hybrid film composed of a semiconducting organic polymer (SOP) and TiO₂ nanoparticles can be used to detect 2,4,6-trinitrotoluene (TNT) vapors. The hybrid film was fabricated by spin-casting SOP solution dispersed with nanosized TiO₂ particles on quartz glass. The SOP in the hybrid film functioned as both the gain medium and the sensory transducer. A random lasing action was observed with a certain pump power when the size (diameter of 50 nm) and concentration (8.9 - 10¹²/cm³) of TiO₂ nanoparticles were optimized. Measurements of fluorescence quenching behavior of the hybrid film in TNT vapor atmosphere (10 ppb) showed that attenuated lasing in optically pumped hybrid film displayed a sensitivity to vapors of explosives more than 20 times higher than was observed from spontaneous emission. This phenomenon has been explained with the four-level laser model. Since the sensory transducer used in the hybrid polymer/nanoparticles system could be replaced by other functional materials, the concept developed could be extended to more general domains of chemical or environment detection.

Detection of nitro-explosive compounds using derivatization and tris(2,2'-bipyridyl)ruthenium(II) chemiluminescence

This thesis describes a novel approach towards the trace level detection of nitramine explosives, by exploring various reduction strategies and utilising ruthenium chemiluminescence. Synthesis of novel chemiluminescence compounds has been achieved, as well as the development of a detection method for determining the shelf life of ammunition.

Countering Improvised explosive devices through a multi-point haptic teleoperation system

Improvised Explosive Devices (IEDs) are reported as the number one cause of injury and death for allied troops in the current theater of operation. Current stand-off technologies for Counter IED (CIED) tasks rely on robotic platforms that have not improved in capability over the past decade to combat the ever increasing threat of IEDs. While they provide operational capability, the effectiveness of these platforms is limited. This is because they primarily utilise video and audio feedback, and require extensive training and specialist operators. Recent operational experience has demonstrated the need for robotic systems that are highly capable, yet easily operable for high fidelity manipulation. Force feedback provides an operator with more intuitive control of a robotic system. This sense of touch allows an operator to obtain a sense of feel from a stand-off location of what the robot touches or grasps through a human-robot interface. This paper reports the design and development of a Haptically-Enabled Counter IED robotic system that was funded by the Australian Defence Force. The presented work focuses on the design methodology for the system, and provides the results of the manipulator analysis and trial outcomes.

Is nine weeks of complex training effective for improving lower body strength, explosive muscle function, sprint and jumping performance?

There is currently minimal evidence from training studies that document the effectiveness of complex training to elicitgains in explosive muscle function that are greater than those obtained from a more conventional approach. Over nineweeks of training, 20 recreationally trained athletes with a minimum of one year of resistance training experience wererandomly assigned to either a complex training group (n¼9) or a conventional training group (n¼11). In an attempt tocapitalise on muscle’s post-activation potentiation response, the complex training group performed all sets of ½ backsquats prior to sets of jumps squats, while the conventional training group performed jump squats prior to sets of ½ backsquats. Lower body explosive muscle function and jump performance improved significantly in both groups. The complextraining group’s improvement in running vertical jump performance was significantly greater than in the conventionalgroups. Sprint performance was not significantly improved in either training group.

Abnormal behavior detection for early warning of terrorist attack

Many terrorist attacks are accomplished by bringing explosive devices hidden in ordinary-looking objects to public places. In such case, it is almost impossible to distinguish a terrorist from ordinary people just from the isolated appearance. However, valuable clues might be discovered through analyzing a series of actions of the same person. Abnormal behaviors of object fetching, deposit, or exchange in public places might indicate potential attacks. Based on the widely equipped CCTV surveillance systems at the entrance of many public places, this paper proposes an algorithm to detect such abnormal behaviors for early warning of terrorist attack.

Effect of heavy dynamic resistive exercise on acute upper-body power

There is limited research to support the notion that heavy resistive exercise immediately before a power movement may acutely enhance performance. Upper-body acute power enhancement during a stretch-shorten cycle (SSC) movement has not been previously investigated. The aim of this project was to determine whether a set of 5 repetitions of 5 repetition maximum (RM) bench press preceding explosive pushups would significantly influence indicators of power: impulse and maximum rate of force development. Subjects randomly performed either explosive push-ups only over a force platform or a set of 5RM bench press before the explosive push-ups. There were no significant differences for any of the force platform data when the explosive push-ups were preceded by a set of 5RM bench press. It appears that heavy dynamic resistive upper-body exercise on its own before an upper-body power activity is inadequate in augmenting short-term power.

Exploiting ungrounded tactile haptic displays for mobile robotic teleoperation

Teleoperated mobile robotics offer potential use in a variety of different real-world applications including hazardous materials handling, urban search and rescue and explosive ordnance handling and disposal. Recent research discusses the use of Haptic technology in increasing task immersion and teleoperator performance. This work investigates the utility of low-cost, ungrounded tactile haptic interfaces in mobile robotic teleoperation. In order to achieve the desired implementation using only tactile sensation presents distinct challenges. Innovative haptic control methodologies providing the teleoperator with intuitive motion control and task-relevant haptic augmentation are presented within this paper.

Exploiting ungrounded tactile haptic displays for mobile robotic teleoperation

Teleoperated mobile robotics offer potential use in a variety of different real-world applications including hazardous materials handling, urban search and rescue and explosive ordnance handling and disposal. Recent research discusses the use of Haptic technology in increasing task immersion and teleoperator performance. This work investigates the utility of low-cost, ungrounded tactile haptic interfaces in mobile robotic teleoperation. In order to achieve the desired implementation using only tactile sensation presents distinct challenges. Innovative haptic control methodologies providing the teleoperator with intuitive motion control and task-relevant haptic augmentation are presented within this paper.

The effects of general strength, maximal strength and plyometric training on leg strength and power in soccer players

The study compared the effects of a maximal strength training method with a form of explosive jump training (plyometrics) on soccer players. Overall, the results showed that weight training and jumping groups improved strength and power better than just regular soccer training. There was no difference between the weight lifting and the jumping groups on the strength and power tests.

Neural net device for IED gas identification

Most of the embedded systems that detect gases today are for specific types and indicate the levels of the gas present with their standard sensors. We introduce here an adaptable system that can detect and distinguish the type of gas in a volatile environment such as searching for Improvised Explosive Devices (IEDs). This is achieved with a small device mounted on a mobile robot through the use of an algorithm that is an Artificial Neural Network (ANN). The input layer to the ANN is an array of environmental and gas sensors. The small device, comprising of a multilayer circuit board with sensors in a rugged lightweight case, mounts on the mobile robot and communicates the gaseous data to the robot.

The ANN is implemented in the hardware of a FPGA with the control of the ANN being achieved through the configurable processor and memory. Calibration and testing of the device involves the training of device and the ANN with specific target gases. The Accuracy of the device is validated through lab testing against high-end gas test instruments with known concentrations of gases.

Proteção dos recursos hídricos de areas urbanas em crescimento : avaliação multi-critérios em sistemas de informações geográficas

Urbanization is one of the greatest manifestations of human activities. Nowadays, world’s explosive urbanization and the problems connected with it pose an important social question. Unbridled urbanization has an expressive tendency to cause dramatic problems, especially on the water resources in terms of quantitative and qualitative changes. Sheltered in a policy delimited in master plan, the planning of the city must incorporate – according to local realities and its particularities –appropriate patterns of landscape in order to achieve sustainable development. The current article aims to establish which zones in Porto Alegre city are more suitable for urbanization. It uses a Multi Criteria Evaluation process in a geographical information systems environment, taking into account human and natural factors and the current Master Plan for the city, with a focus on water resources.

Explosion 02 SFX

Explosion 02 SFX is a sound effect of an explosion.

"You Tube and I Find" - personalizing multimedia content access

Recent growth in broadband access and proliferation of small personal devices that capture images and videos has led to explosive growth of multimedia content available everywhereVfrom personal disks to the Web. While digital media capture and upload has become nearly universal with newer device technology, there is still a need for better tools and technologies to search large collections of multimedia data and to find and deliver the right content to a user according to her current needs and preferences. A renewed focus on the subjective dimension in the multimedia lifecycle, fromcreation, distribution, to delivery and consumption, is required to address this need beyond what is feasible today. Integration of the subjective aspects of the media itselfVits affective, perceptual, and physiological potential (both intended and achieved), together with those of the users themselves will allow for personalizing the content access, beyond today’s facility. This integration, transforming the traditional multimedia information retrieval (MIR) indexes to more effectively answer specific user needs, will allow a richer degree of personalization predicated on user intention and mode of interaction, relationship to the producer, content of the media, and their history and lifestyle. In this paper, we identify the challenges in achieving this integration, current approaches to interpreting content creation processes, to user modelling and profiling, and to personalized content selection, and we detail future directions. The structure of the paper is as follows: In Section I, we introduce the problem and present some definitions. In Section II, we present a review of the aspects of personalized content and current approaches for the same. Section III discusses the problem of obtaining metadata that is required for personalized media creation and present eMediate as a case study of an integrated media capture environment. Section IV presents the MAGIC system as a case study of capturing effective descriptive data and putting users first in distributed learning delivery. The aspects of modelling the user are presented as a case study in using user’s personality as a way to personalize summaries in Section V. Finally, Section VI concludes the paper with a discussion on the emerging challenges and the open problems.

Optimal algorithm for a mobile intelligent gas detection device

This thesis is based on the development of a gas detection device that can be mounted on a mobile robotic platform. The focus was on development of the A.I recognition algorithm with an array of sensors to detect trace amounts of explosive and volatile gases in the environments it is exposed to.