Venkatesh Mahadevan

iACO: A Bio-inspired Power Efficient Routing Scheme for Sensor Networks

— An efficient and effective routing scheme plays an important role in improving the network throughput of Wireless Sensor Networks (WSNs) under the major constraint of power consumption. This paper proposes an energy efficient routing algorithm inspired from nature colonial scheme, its implementation and validation are also described in this paper. Details of the algorithm and its testing procedures are included. The proposed model is validated through simulations, demonstrating the network performance measurements such as delay, throughput and packet loss have been improved as a promising outcome.

The influence of workload characterization in the performance analysis of telecollaboration

The telecollaboration (TC) business system is an important class of emerging applications that is spawning new challenges in achieving the desired levels of performance. One important implication in identifying and characterizing the properties of TC system implementations is that performance evaluation should no longer be isolated and viewed as a separate analytic activity. Instead, we require a physical and logical understanding of the complex quality issues that affect overall performance of applications, systems and network infrastructures. As one of the natural artifacts of this practice, a workload model are developed to characterize a TC system. We demonstrate how such an analysis may result in characterization of workload behavior, and that in turn lead to definition of efficient analytical model parameters, network invariants and use of relevant quality metrics. The study of underlying issues of telecollaboration quality of service (TQoS) within the context of TC could have positive impacts on performance analysis and traffic control, if the analytical modeling used remains consistent and effective in describing the Web-based environments.

Towards the Distributed Autonomy in Complex Environments

Autonomic communication principles play a central role in managing complexity of the distributed electronic systems. This paper proposes a nature-inspired distributed active information model to enable the local decision-making process, and further, a global optimal solution will be obtained. Details of the distributed information model (IM) model are described in this paper. The experimental test validates the IM model, and implemented in the discrete event simulator - J-SIM. Performance comparisons show the distributed IM model outperforms the conventional information model.

A Bio-inspired Telecollaboration Service Taxonomy: Usability Related Concerns

As the Internet is transforming the global information economy, the Telecollaboration (TC) system services are moving at a transitional pace dictated by market forces. However, the pace is turning out to be a lot slower than expected. This has prompted us now to approximate and synthesize the design concepts of building a scalable biomimetic system manager for a telecollaboration service taxonomy. Thus, it is expected that if there is more correlation across the design concepts of the system manager, the greater will be the likelihood of demonstrating a rescue-like operation for humans in this new taxonomy. The main goal of this paper is initially to over view the bio-swarm behaviours of insect colonies to embrace a notional computing architecture that enables an individual TC service entity. It is important that these behaviours along with the proposed self-x autonomic functions offered by the system manager need to be pursued, and indeed continue, in a highly correlated way to fulfil the opportunistic functional tasks related to the discovery and delivery of Telecollaboration services. In this context next, we attempt to study the significant usability benefits of qualitative and quantitative execution pressures related to the implementation of these functions. This includes a better understanding of the constraints of implementation of these functions to deal with complex usability performance baselines. Finally, we give an updated foresight of process deployment strategies through a group of highly diverse and autonomous objects called Teleholons whilst exploiting the role of these self-x autonomic functions.

A Preliminary Investigation on Computer Vision for Telemedicine Systems Using OpenCV

OpenCV is typically, an open source vision library suitable for computer vision programs. In this paper, we present some of our preliminary investigation experiences of developing Computer Vision programs using OpenCV for robotic telemedicine cluster system, within the practice based ICTD subject within the undergraduate Software Engineering Program at the Faculty of Engineering, University of Technology Sydney (UTS). Firstly, it discusses our shared experiences in designing and implementing Computer Vision subsystem and discusses successes, as well as common problems both experienced and anticipated in adaptation of OpenCV framework and then justifies its purpose building a robotic system for telemedicine. Finally, it attempts to bridge the gap between the theoretical knowledge of design and programming with the practical side of software reuse and modularization when designing and implementing a robotic system for medical applications.

Blogging in teaching and learning software systems development

This paper outlines the strategic framework for applications of new blogging strategies and tools significantly enriched with cognitive, conative and emotive dimensions that can be used for effective teaching and learning of software systems development (SSD) in large groups. Additionally, we provide features included in blogs as an invaluable source for monitoring and assessing the progress of the SSD subject. We focus on a support environment of specialised blogging tools used and comments on shared experiences in the implementation of blogging methods in the SSD subject over the last year at University of Technology, Sydney, Australia. Next, we review and assess the proposed blogs methodology for information processing as well as for subject evaluation. Then we discuss the successes of blogging, as well as the most common problems (both anticipated and experienced) inherent in using this tool. Finally, we present our knowledge, observations, comments and recommendations for the enhanced use of blogging, in a process of continuous improvement of teaching and learning of SSD.

Analyzing Usability Alternatives in Multi-criteria Decision Making During ERP Training

Lack of high-level usability awareness often leads the e-business communities to a missing relative assessment of capability of collaborative businesses effectively in terms of achieving strategic and competitive advantages. In this paper, we propose a new strategic framework for an evolutionary Collaborative Space of Opportunities (CSO) whilst using a Telecollaboration (TC) business system during Enterprise Resource Planning (ERP) training. Initially, we apply Calloss General System Theory (GST) with the description of logistics elements of this framework. Next, we provide a business logistics management perspective within CSO, addressing organizational effectiveness, technology integration control efficiency and user satisfaction. This includes formation of co- evolutionary loops to induce the apparent system usability objectives to explore the emergence of business logistics portfolios and technology integration control profiles of the users. We then describe our proposed Collaborative Space of Opportunities Matrices (CSOM) to analyse the apparent usability alternatives in this multi-criteria decision making environment. In this context, we apply the general form of Saatys Analytic Hierarchy Process (AHP) to demonstrate how these matrices could be used as a generic elicitation tool. It is here, we provide a set of systematic, explicit, rigorous and robust reinforcement mechanisms for quantifying and prioritizing the Decision elements (De) involved. We assume that the exposition on AHP has the Business process Re- engineering (BPR) effect to measure and synthesize the often conflicting apparent usability objectives and alternatives of a TC business system during ERP training.

Notice of Retraction Frictional stir welding on aluminum alloys AA2024-T4 and AA7075-T6

The respiratory effects often seen in full time welders include bronchitis, Airway irrigation, lung function changes, lung fibrosis and a possible increase in the incidence of lung cancer. Functionally significant pulmonary fibrosis associated with exposure to silica dust, nitrogen dioxide gas and other components of the welding fume would appear to leads to severe form of fibrosis in welders. Traditionally, control of fumes and gases has been by enclosure and local exhaust ventilation, respiratory protective equipment may also be necessary in certain circumstances, in particular in confined spaces.. In this context, an environmentally cleaner process has been invented at The Welding Institute (TWI), UK, which is popularly known as Friction Stir welding (FSW) process. This comparatively recent innovation has permitted friction technology to be used to produce continuous welded seams for plate fabrication. Compared to many of the fusion welding processes that are routinely used for joining structural alloys. FSW is an environmentally cleaner welding process, due to the absence of a need for the various gases that normally accompany fusion welding. FSW process produces no smoke, fumes, arc glare and it is an eco friendly process. This paper deals with the improvement in micro hardness and mechanical properties shown by aluminum alloys after friction stir welding.

Patient Information Management: Application of Performance Theories for Healthcare

This paper conceptualises the development of a Patient Information Management system to assist health care professionals and carers in providing an enhanced level of support to patients. By focusing on throughput analysis and mission criticality the system designers can make valued judgement on the needs of the professional and system’s long term requirements.

Bone Trabecular Analysis of Femur Radiographs for the Assessment of Osteoporosis Using DWT and DXA

 Abstract—The lifespan can be increased in a positive mode by initial diagnosis of osteoporosis. Analysis of trabecular properties on digital hip radiographs could be useful in identifying the subjects with low bone mineral density (BMD) or osteoporosis. Early detection of fracture risk is important for initiating treatment and improving outcomes from both physiologic and pathologic causes of bone loss. So, the aim of the present study was to test the potentiality of the discrete wavelet transform based qualitative trabecular bone analysis method for the assessment of osteoporosis using simple radiographs. Our study was performed on 20 post-menopausal women without osteoporotic fractures and 21 healthy pre-menopausal women. For all subjects radiographs and bone mineral density measurements were obtained. The energy computed from trabecular pattern of normal bone by trabecular enhanced radiographic samples appeared to be higher than the energy from samples of the osteopenia and osteoporosis in greater-trochanter and neck regions. Hence forth, our results suggest that, the plain radiographs might be used instead of BMD measurements for the screening of osteoporosis and its associated fracture risk assessment.