43,223 research outputs found
Alternative sweetener from curculigo fruits
This study gives an overview on the advantages of Curculigo Latifolia as an alternative sweetener and a health product. The purpose of this research is to provide another option to the people who suffer from diabetes. In this research, Curculigo Latifolia was chosen, due to its unique properties and widely known species in Malaysia. In order to obtain the sweet protein from the fruit, it must go through a couple of procedures. First we harvested the fruits from the Curculigo trees that grow wildly in the garden. Next, the Curculigo fruits were dried in the oven at 50 0C for 3 days. Finally, the dried fruits were blended in order to get a fine powder. Curculin is a sweet protein with a taste-modifying activity of converting sourness to sweetness. The curculin content from the sample shown are directly proportional to the mass of the Curculigo fine powder. While the FTIR result shows that the sample spectrum at peak 1634 cm–1 contains secondary amines. At peak 3307 cm–1 contains alkynes
Assessment of the risk due to release of carbon fiber in civil aircraft accidents, phase 2
The risk associated with the potential use of carbon fiber composite material in commercial jet aircraft is investigated. A simulation model developed to generate risk profiles for several airports is described. The risk profiles show the probability that the cost due to accidents in any year exceeds a given amount. The computer model simulates aircraft accidents with fire, release of fibers, their downwind transport and infiltration of buildings, equipment failures, and resulting ecomomic impact. The individual airport results were combined to yield the national risk profile
Insights from computational modelling and simulation towards promoting public health among African countries
One of the problems associated with some African countries is the increasing trend of
road mortality as a result of road fatalities. This has been a major concern. The negative
impacts of these on public health cannot be underestimated. An issue of concern is the
high record of casualties being recorded on an annual basis as a result of over-speeding,
overtaking at dangerous bends, alcohol influence and non-chalant attitude of drivers to
driving. The aim of this research is to explore and adapt the knowledge of finite state
algorithm, modeling and simulation to design and implement a novel prototype of an
advanced traffic light system towards promoting public health among African countries.
Here, we specify and built a model of an advanced wireless traffic control system, which
will help complement existing traffic control systems among African countries. This
prototype is named Advanced Wireless Traffic Control System (WPDTCS). We developed
this model using an event-driven programming approach. The technical details of the
model were based on knowledge adapted from the Finite State Automation Transition
algorithm. It is expected that the AWTCS will promote the evolution of teaching in
modeling, simulation, public safety by offering trainees an advanced pedagogical
product. It will also permit to strengthen the collaboration of knowledge from the fields
of Computer Science, Public health, and Electrical Engineering.
Keywords: public health, public safety, modelling , simulation, pr
Consistency Index-Based Sensor Fault Detection System for Nuclear Power Plant Emergency Situations Using an LSTM Network
A nuclear power plant (NPP) consists of an enormous number of components with complex interconnections. Various techniques to detect sensor errors have been developed to monitor the state of the sensors during normal NPP operation, but not for emergency situations. In an emergency situation with a reactor trip, all the plant parameters undergo drastic changes following the sudden decrease in core reactivity. In this paper, a machine learning model adopting a consistency index is suggested for sensor error detection during NPP emergency situations. The proposed consistency index refers to the soundness of the sensors based on their measurement accuracy. The application of consistency index labeling makes it possible to detect sensor error immediately and specify the particular sensor where the error occurred. From a compact nuclear simulator, selected plant parameters were extracted during typical emergency situations, and artificial sensor errors were injected into the raw data. The trained system successfully generated output that gave both sensor error states and error-free states
An assessment of the risk arising from electrical effects associated with carbon fibers released from commercial aircraft fires
The risks associated with electrical effects arising from carbon fibers released from commercial aviation aircraft fires were estimated for 1993. The expected annual losses were estimated to be about 100,000 (1977 dollars) in 1993 were established to be about one in ten thousand
Data-based fault detection in chemical processes: Managing records with operator intervention and uncertain labels
Developing data-driven fault detection systems for chemical plants requires managing uncertain data labels and dynamic attributes due to operator-process interactions. Mislabeled data is a known problem in computer science that has received scarce attention from the process systems community. This work introduces and examines the effects of operator actions in records and labels, and the consequences in the development of detection models. Using a state space model, this work proposes an iterative relabeling scheme for retraining classifiers that continuously refines dynamic attributes and labels. Three case studies are presented: a reactor as a motivating example, flooding in a simulated de-Butanizer column, as a complex case, and foaming in an absorber as an industrial challenge. For the first case, detection accuracy is shown to increase by 14% while operating costs are reduced by 20%. Moreover, regarding the de-Butanizer column, the performance of the proposed strategy is shown to be 10% higher than the filtering strategy. Promising results are finally reported in regard of efficient strategies to deal with the presented problemPeer ReviewedPostprint (author's final draft
Construction safety and digital design: a review
As digital technologies become widely used in designing buildings and infrastructure, questions arise about
their impacts on construction safety. This review explores relationships between construction safety and
digital design practices with the aim of fostering and directing further research. It surveys state-of-the-art
research on databases, virtual reality, geographic information systems, 4D CAD, building information
modeling and sensing technologies, finding various digital tools for addressing safety issues in the
construction phase, but few tools to support design for construction safety. It also considers a literature on
safety critical, digital and design practices that raises a general concern about ‘mindlessness’ in the use of
technologies, and has implications for the emerging research agenda around construction safety and digital
design. Bringing these strands of literature together suggests new kinds of interventions, such as the
development of tools and processes for using digital models to promote mindfulness through multi-party
collaboration on safet
Workplace Safety Policy: Past, Present, and Future
With an annual budget of about 210 billion per year, that workers receive for accepting job-related health hazards give employers a stronger economic incentive to eliminate workplace health and safety hazards than the $132 million per year in fines imposed by OSHA and its state counterparts for violations of workplace safety standards. Because of the heterogeneity of workers and firms, we argue that public policy should expand the economic incentives for workplace safety while allowing firms and workers freedom to discover on their own the best ways to improve workplace safety.
- …