999 resultados para effective spawning
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In the recent past, there are some social issues when personal sensitive data in medical database were exposed. The personal sensitive data should be protected and access must be accounted for. Protecting the sensitive information is possible by encrypting such information. The challenge is querying the encrypted information when making the decision. Encrypted query is practically somewhat tedious task. So we present the more effective method using bucket index and bloom filter technology. We find that our proposed method shows low memory and fast efficiency comparatively. Simulation approaches on data encryption techniques to improve health care decision making processes are presented in this paper as a case scenario.
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The pervasive use of IT is prominent amongst organizations in developing economies. However, there is growing evidence that these economies fail to capitalize on their IT investment to transform their organizations to be competitive both locally and globally. IT-related benefits are possible with appropriate governance of the IT-related resources, and we need to broaden our understanding on the IT governance mechanics suitable for organizations in the developing economies. In this study, we adopted an initial interpretive design to obtain a deeper understanding of the IT governance (ITG) environment and conceptions of the stakeholders on effective IT governance structures for the developing economies. We found that the presence of an IT Strategic Planning Committee, Multiple level of authority, and a Forum for informal discussions as the crucial components of an ITG structure in developing economies.
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Whole body cryotherapy (WBC) involves repeatedly exposing an individual, dressed in minimal clothing, to extremely cold air (–100 to –130°C) for a short period. One specific claim that is often made is that WBC is effective in treating exercise-induced muscle soreness and damage. However, our results suggest that two bouts of WBC were ineffective in improving recovery from eccentric exercise when administered 24 hours after eccentric exercise.
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The quality of discovered features in relevance feedback (RF) is the key issue for effective search query. Most existing feedback methods do not carefully address the issue of selecting features for noise reduction. As a result, extracted noisy features can easily contribute to undesirable effectiveness. In this paper, we propose a novel feature extraction method for query formulation. This method first extract term association patterns in RF as knowledge for feature extraction. Negative RF is then used to improve the quality of the discovered knowledge. A novel information filtering (IF) model is developed to evaluate the proposed method. The experimental results conducted on Reuters Corpus Volume 1 and TREC topics confirm that the proposed model achieved encouraging performance compared to state-of-the-art IF models.
In the pursuit of effective affective computing : the relationship between features and registration
Resumo:
For facial expression recognition systems to be applicable in the real world, they need to be able to detect and track a previously unseen person's face and its facial movements accurately in realistic environments. A highly plausible solution involves performing a "dense" form of alignment, where 60-70 fiducial facial points are tracked with high accuracy. The problem is that, in practice, this type of dense alignment had so far been impossible to achieve in a generic sense, mainly due to poor reliability and robustness. Instead, many expression detection methods have opted for a "coarse" form of face alignment, followed by an application of a biologically inspired appearance descriptor such as the histogram of oriented gradients or Gabor magnitudes. Encouragingly, recent advances to a number of dense alignment algorithms have demonstrated both high reliability and accuracy for unseen subjects [e.g., constrained local models (CLMs)]. This begs the question: Aside from countering against illumination variation, what do these appearance descriptors do that standard pixel representations do not? In this paper, we show that, when close to perfect alignment is obtained, there is no real benefit in employing these different appearance-based representations (under consistent illumination conditions). In fact, when misalignment does occur, we show that these appearance descriptors do work well by encoding robustness to alignment error. For this work, we compared two popular methods for dense alignment-subject-dependent active appearance models versus subject-independent CLMs-on the task of action-unit detection. These comparisons were conducted through a battery of experiments across various publicly available data sets (i.e., CK+, Pain, M3, and GEMEP-FERA). We also report our performance in the recent 2011 Facial Expression Recognition and Analysis Challenge for the subject-independent task.
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This paper describes system identification, estimation and control of translational motion and heading angle for a cost effective open-source quadcopter — the MikroKopter. The dynamics of its built-in sensors, roll and pitch attitude controller, and system latencies are determined and used to design a computationally inexpensive multi-rate velocity estimator that fuses data from the built-in inertial sensors and a low-rate onboard laser range finder. Control is performed using a nested loop structure that is also computationally inexpensive and incorporates different sensors. Experimental results for the estimator and closed-loop positioning are presented and compared with ground truth from a motion capture system.
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While the attainment of late life represents a significant achievement for people with an intellectual disability, increased life expectancy has resulted in growing concerns about the extent to which disability service providers are ready to meet the changing needs of increasing numbers of older people and facilitate their ongoing social inclusion. Training of frontline disability staff is widely accepted as an effective strategy for increasing organisational capacity to contribute to improved quality of life for people with an intellectual disability. The study identifies training needs analyses and 'ready-to-deliver' training programs for frontline disability services staff working with adults with an intellectual disability who are ageing, assesses whether the training programs contribute to improved quality of life outcomes for service users, and makes recommendations for future research and development of training for disability services staff who work with older people with intellectual disability.
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Defining the difference between successful and mediocre leaders is a quest that has attracted many renowned scholars, drawing vast amounts of research effort. Yet while there are excellent theoretical explanations of what leaders should do: exhibit transformational behaviours, demonstrate authenticity, build productive relationships with followers and so on; there is still a scarcity of empirically-based research advising practicing leaders how to do these things. This study seeks to provide guidance about the fine-grained processes that effective leaders use on a daily basis to undertake the core process of all leadership activity; influencing followers. Using a grounded research approach, this study employs qualitative methods to capture the detail of effective leader behaviour and the micro-level influence processes that leaders use to create effective follower outcomes. Conducted in the health services industry with medical and allied health leaders, the study sought to answer the question: What influence methods might effective, contemporary leaders be using? The study builds on existing influence research, seeking to extend and update the typology of 11 influence tactics originally developed by Yukl and others, and which has been static since the late 1990s. Eight new influence tactics were identified, offering practicing leaders a powerful suite of potential strategies and representing a significant contribution to the field. Further research is recommended to confirm the identified influence constructs and test the generalisability of these findings to broader leader populations in health organisations and other knowledge-based organisations.
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A quantitative, quasi-experimental study of the effectiveness of computer-based scientific visualizations for concept learning on the part of Year 11 physics students (n=80) was conducted in six Queensland high school classrooms. Students’ gender and academic ability were also considered as factors in relation to the effectiveness of teaching with visualizations. Learning with visualizations was found to be equally effective as learning without them for all students, with no statistically significant difference in outcomes being observed for the group as a whole or on the academic ability dimension. Male students were found to learn significantly better with visualizations than without, while no such effect was observed for female students. This may give rise to some concern for the equity issues raised by introducing visualizations. Given that other research shows that students enjoy learning with visualizations and that their engagement with learning is enhanced, the finding that the learning outcomes are the same as for teaching without visualizations supports teachers’ use of visualizations.
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Acoustic emission (AE) is the phenomenon where stress waves are generated due to rapid release of energy within a material caused by sources such as crack initiation or growth. AE technique involves recording the stress waves by means of sensors and subsequent analysis of the recorded signals to gather information about the nature of the source. Though AE technique is one of the popular non destructive evaluation (NDE) techniques for structural health monitoring of mechanical, aerospace and civil structures; several challenges still exist in successful application of this technique. Presence of spurious noise signals can mask genuine damage‐related AE signals; hence a major challenge identified is finding ways to discriminate signals from different sources. Analysis of parameters of recorded AE signals, comparison of amplitudes of AE wave modes and investigation of uniqueness of recorded AE signals have been mentioned as possible criteria for source differentiation. This paper reviews common approaches currently in use for source discrimination, particularly focusing on structural health monitoring of civil engineering structural components such as beams; and further investigates the applications of some of these methods by analyzing AE data from laboratory tests.
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Evidence is mounting that values education is providing positive outcomes for students, teachers and schools (Benninga, Berkowitz, Kuehn, & Smith, 2006; DEST, 2008; Hattie, 2003; Lovat, Clement, Dally, & Toomey, 2010). Despite this, Australian pre-service teacher education does not appear to be changing in ways necessary to support skilling teachers to teach with a values focus (Lovat, Dally, Clement, and Toomey, 2011). This article presents findings from a case study that explored current teachers’ perceptions of the skills pre-service teachers need to teach values education effectively. Teachers who currently teach with a values focus highlighted that pre-service teacher education degrees need to encourage an ongoing commitment to continual learning, critical reflection and growth in pre-service teachers, along with excellent questioning and listening skills. Further, they argued that pre-service teachers need to be skilled in recognising and responding to student diversity. This article ends by arguing for some changes that need to occur in pre-service teacher education in order for teachers to teach effectively with a values focus, including the need for stronger connections between pre-service and experienced teachers.
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Over the past few years, the Midwest ISO has experienced a surge in requests to interconnect large amounts of wind generation, driven largely by a favorable political environment and an abundant wind resource in the Midwestern US. This tremendous influx of proposed generators along with a highly constrained transmission system adversely impacted interconnection queue processing, resulting in an unmanageable backlog. Under these circumstances, Midwest ISO successfully reformed the interconnection tariff to improve cycle times and provide increased certainty to interconnection customers. One of the key features of the reformed queue process is the System Planning and Analysis (SPA) phase which allows integration of the interconnection studies with regional transmission planning. This paper presents a brief background of the queue reform effort and then delves deeply in to the work performed at the Midwest ISO during the first SPA cycle - the study approach, the challenges faced in having to study over 50,000 MWs of wind generation and the effective solutions designed to complete these studies within tariff timelines.
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Background: Foot ulcers are a frequent reason for diabetes-related hospitalisation. Clinical training is known to have a beneficial impact on foot ulcer outcomes. Clinical training using simulation techniques has rarely been used in the management of diabetes-related foot complications or chronic wounds. Simulation can be defined as a device or environment that attempts to replicate the real world. The few non-web-based foot-related simulation courses have focused solely on training for a single skill or “part task” (for example, practicing ingrown toenail procedures on models). This pilot study aimed to primarily investigate the effect of a training program using multiple methods of simulation on participants’ clinical confidence in the management of foot ulcers. Methods: Sixteen podiatrists participated in a two-day Foot Ulcer Simulation Training (FUST) course. The course included pre-requisite web-based learning modules, practicing individual foot ulcer management part tasks (for example, debriding a model foot ulcer), and participating in replicated clinical consultation scenarios (for example, treating a standardised patient (actor) with a model foot ulcer). The primary outcome measure of the course was participants’ pre- and post completion of confidence surveys, using a five-point Likert scale (1 = Unacceptable-5 = Proficient). Participants’ knowledge, satisfaction and their perception of the relevance and fidelity (realism) of a range of course elements were also investigated. Parametric statistics were used to analyse the data. Pearson’s r was used for correlation, ANOVA for testing the differences between groups, and a paired-sample t-test to determine the significance between pre- and post-workshop scores. A minimum significance level of p < 0.05 was used. Results: An overall 42% improvement in clinical confidence was observed following completion of FUST (mean scores 3.10 compared to 4.40, p < 0.05). The lack of an overall significant change in knowledge scores reflected the participant populations’ high baseline knowledge and pre-requisite completion of web-based modules. Satisfaction, relevance and fidelity of all course elements were rated highly. Conclusions: This pilot study suggests simulation training programs can improve participants’ clinical confidence in the management of foot ulcers. The approach has the potential to enhance clinical training in diabetes-related foot complications and chronic wounds in general.
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Effective interviewing of culturally and linguistically diverse clients Tips from Dr Nigar Khawaja MAPS, Convenor, APS Psychology and Cultures Interest Group