On the Structure and Stabilization Mechanisms of Planar and Cylindrical Premixed Flames

The configurational simplicity of the stationary one-dimensional flames renders them intrinsically attractive for fundamental flame structure studies. The possibility and fidelity of studies of such flames on earth, however, have been severely restricted by the unidirectional nature of the gravity vector. To demonstrate these complications, let us first consider the premixed flame. Here a stationary, one-dimensional flame can be established by using the flat-flame burner. We next consider nonpremixed flames. First it may be noted that in an unbounded gravity-free environment, the only stationary one-dimensional flame is the spherical flame. Indeed, this is a major motivation for the study of microgravity droplet combustion, in which the gas-phase processes can be approximated to be quasi-steady because of the significant disparity between the gas and liquid densities for subcritical combustion. In view of the above considerations, an experimental and theoretical program on cylindrical and spherical premixed and nonpremixed flames in microgravity has been initiated. For premixed flames, we are interested in: (1) assessing the heat loss versus flow divergence as the dominant stabilization mechanism; (2) determining the laminar flame speed by using this configuration; and (3) understanding the development of flamefront instability and the effects of the flame curvature on the burning intensity

Consumer Buying Decision Process : A Customer Profile Of Proton Cars Buyers From 1992 To 1995

The market domination of EON in the domestic passenger car market is not surprising given the company’s management rather proactive reactions and abilities towards changes in the business environment. This market share has been able to provide a database of customer information in the determination of this customer profile as it reflects the rising affluence of the Malaysian car buying population. Various marketing models were examined to provide some initial manifestation of the subject but not one single model has sufficiently explanted these purchasing decisions. The present chosen linear regression model has, however been able to provide an initial understanding that the influence of these variables - customer profiles - have a measurable ranking value. Namely what affects a customer in his decision to purchase a particular Proton model as distributed by EON. The final invoiced price which is determined by these customer profiles is thus, a manifestation of these influences. The presence of powerful statistical packages on the personal computers has made significant improvements in the analysis and the results were tabulated as such. The Bivariate Correlation analysis has indicated a linear regressed relationship among the variables used and the Pearson Product- Movement Correlation Coefficients can explained sufficiently if not fully the relationships of these correlation coefficients. A single major customer profile was not and could not be determined as there NOW exists different segmented markets for different Proton models sold. This is also perhaps due to the nature of EON’s marketing practices. This initial limiting understanding was than further examined and a distinct customer profile was generated for a each particular Proton model as such. This linear regression model’s forecasting ability can be further developed and refined as need be. This must be seen against the perceived saturation level of the domestic car market and increased market competition in due time

A Systematic Literature Review of Path-Planning Strategies for Robot Navigation in Unknown Environment

The Many industries, including ports, space, surveillance, military, medicine and agriculture have benefited greatly from mobile robot technology.  An autonomous mobile robot navigates in situations that are both static and dynamic. As a result, robotics experts have proposed a range of strategies. Perception, localization, path planning, and motion control are all required for mobile robot navigation. However, Path planning is a critical component of a quick and secure navigation. Over the previous few decades, many path-planning algorithms have been developed. Despite the fact that the majority of mobile robot applications take place in static environments, there is a scarcity of algorithms capable of guiding robots in dynamic contexts. This review compares qualitatively mobile robot path-planning systems capable of navigating robots in static and dynamic situations. Artificial potential fields, fuzzy logic, genetic algorithms, neural networks, particle swarm optimization, artificial bee colonies, bacterial foraging optimization, and ant-colony are all discussed in the paper. Each method's application domain, navigation technique and validation context are discussed and commonly utilized cutting-edge methods are analyzed. This research will help researchers choose appropriate path-planning approaches for various applications including robotic cranes at the sea ports as well as discover gaps for optimization

Technological Frames and End-User Computing

Research Paper Series (National University of Singapore. Faculty of Business Administration); 1996-0041-2

On burner-stabilized cylindrical premixed flames in microgravity

An experimental and theoretical program on cylindrical and spherical premixed flames in microgravity has been initiated. We are especially interested in: (1) assessing heat loss versus flow divergence as the dominant stabilization mechanism; (2) understanding the effects of flame curvature on the burning intensity; and (3) determining the laminar burning velocity by using this configuration. In the present study we have performed analytical, computational, and mu g-experimental investigations of the cylindrical flame. The results are presented

The Effects of Changing Attention and Context in an Awake Offline Processing Period on Visual Long-Term Memory

There is accumulating evidence that sleep as well as awake offline processing is important for the transformation of new experiences into long-term memory (LTM). Yet much remains to be understood about how various cognitive factors influence the efficiency of awake offline processing. In the present study we investigated how changes in attention and context in the immediate period after exposure to new visual information influences LTM consolidation. After presentation of multiple naturalistic scenes within a working memory paradigm, recognition was assessed 30 min and 24 h later in three groups of subjects. One group of subjects engaged in a focused attention task [the Revised Attentional Network Task (R-ANT)] in the 30 min after exposure to the scenes. Another group of subjects remained in the testing room during the 30 min after scene exposure and engaged in no goal- or task-directed activities. A third group of subjects left the testing room and returned 30 min later. A signal detection analysis revealed no significant differences among the three groups in hits, false alarms, or sensitivity on the 30-min recognition task. At the 24-h recognition test, the group that performed the R-ANT made significantly fewer hits compared to the group that left the testing room and did not perform the attention ask. The group that performed the R-ANT and the group that remained in the testing room during the 30-min post-exposure interval made significantly fewer false alarms on the 24-h recognition test compared to the group that left the testing room. The group that stayed in the testing room and engaged in no goal- or task-directed activities exhibited significantly higher sensitivity (d′) compared to the group that left the testing room and the group that performed the R-ANT task. Staying in the same context after exposure to new information and resting quietly with minimal engagement of attention results in the best ability to distinguish old from novel visual stimuli after 24 h. These findings suggest that changes in attentional demands and context during an immediate post-exposure offline processing interval modulate visual memory consolidation in a subtle but significant manner

Continual Learning For On-Device Environmental Sound Classification

Continuously learning new classes without catastrophic forgetting is a challenging problem for on-device environmental sound classification given the restrictions on computation resources (e.g., model size, running memory). To address this issue, we propose a simple and efficient continual learning method. Our method selects the historical data for the training by measuring the per-sample classification uncertainty. Specifically, we measure the uncertainty by observing how the classification probability of data fluctuates against the parallel perturbations added to the classifier embedding. In this way, the computation cost can be significantly reduced compared with adding perturbation to the raw data. Experimental results on the DCASE 2019 Task 1 and ESC-50 dataset show that our proposed method outperforms baseline continual learning methods on classification accuracy and computational efficiency, indicating our method can efficiently and incrementally learn new classes without the catastrophic forgetting problem for on-device environmental sound classification.Comment: The first two authors contributed equally, 5 pages one figure, submitted to DCASE2022 Worksho

Identification of Unreported Sources of Objects Containing High Release Nickel

Globally, nickel is the leading cause of allergic contact dermatitis (ACD). Nickel is ubiquitous, and published literature continues to index items most frequently associated with Ni-ACD. Unregulated nickel exposure in North America is evident by the unprecedented rates of sensitization seen in patch-tested cohorts, 18.5% in children (ages 0-18 years) and 28.1% in adults.1 Conservative estimates of ACD within the pediatric population suggest at least one million cases in the US yearly with roughly one-quarter of those cases due to nickel.2-3 The United States could potentially save $5.7 billion annually in health care costs, extrapolating current cost-saving data from Denmark post nickel regulation, by implementing similar regulation to that of the European Union (EU).2 To our knowledge, site surveys testing for items releasing nickel in public locations has yet to be performed