Online pattern recognition in subsequence time series clustering

One of the open issues in the context of subsequence time series clustering is online pattern recognition. There are different fields in this clustering such as e-commerce, outlier detection, speech recognition, biological systems, DNA recognition, and text mining. Among these fields pattern recognition is one the essential concept. To implement the idea of online pattern recognition, we choose sequences of ECG data as a subsequence time series data. Additionally, using ECG data can help to interpret heart activity for finding heart diseases. This paper will offer a way to generate online pattern recognition in subsequence time series clustering in order to have a runtime results

Large expert-curated database for benchmarking document similarity detection in biomedical literature search

Document recommendation systems for locating relevant literature have mostly relied on methods developed a decade ago. This is largely due to the lack of a large offline gold-standard benchmark of relevant documents that cover a variety of research fields such that newly developed literature search techniques can be compared, improved and translated into practice. To overcome this bottleneck, we have established the RElevant LIterature SearcH consortium consisting of more than 1500 scientists from 84 countries, who have collectively annotated the relevance of over 180 000 PubMed-listed articles with regard to their respective seed (input) article/s. The majority of annotations were contributed by highly experienced, original authors of the seed articles. The collected data cover 76% of all unique PubMed Medical Subject Headings descriptors. No systematic biases were observed across different experience levels, research fields or time spent on annotations. More importantly, annotations of the same document pairs contributed by different scientists were highly concordant. We further show that the three representative baseline methods used to generate recommended articles for evaluation (Okapi Best Matching 25, Term Frequency-Inverse Document Frequency and PubMed Related Articles) had similar overall performances. Additionally, we found that these methods each tend to produce distinct collections of recommended articles, suggesting that a hybrid method may be required to completely capture all relevant articles. The established database server located at https://relishdb.ict.griffith.edu.au is freely available for the downloading of annotation data and the blind testing of new methods. We expect that this benchmark will be useful for stimulating the development of new powerful techniques for title and title/abstract-based search engines for relevant articles in biomedical research.Peer reviewe

Preparation of Ribonuclease A surface-imprinted nanoparticles with miniemulsion polymerization for protein recognition in aqueous media

AIChE Annual Meeting, Conference Proceedings

Carbohydrate-centered PAMAM dendrimers for growing liver cells

AIChE Annual Meeting, Conference Proceedings8307-831

Investigation of protein imprinting using miniemulsion polymerization through the epitope approach

AIChE Annual Meeting, Conference Proceedings

Design & development of collaborative workflow for lean production in a repair & overhaul industry

Aerospace fuel nozzles maintenance, repair and overhaul operation is a dynamic process as the workflow is unpredictable. Further detail checking and analyzing on defects are needed in order to determine the workflow. The traditional paper based of work in progress information had been implementing as to manage the nozzles production. However, paper based of work in progress information is inefficient in dealing with these unpredictable and complex workflows. There is a probability of entering or recording the error information when it is in paper based system. This wrong information will cause problem in production line as the results are inconsistent. Furthermore, this inaccurate result will lead to difficulty in tracking the nozzles. Excessive time is needed and wasted in indentifying and correcting the errors. Hence, an electronic based of work in progress system is apparently required as to overcome the shortcoming of the paper based tracking and also to enhance the efficiency of production line. This paper will describe the configurable and customizable work in progress tracking system as a mean to improve over the traditional paper based system

Computer-assisted instruction in teaching early childhood literature

This paper focused on how computer-assisted instruction may help in teaching early childhood literature. Other than that, it also discusses on the problems of developing and publishing early childhood literature in Malaysia and the solution for the problems. A survey was carried out to find out whether computer aided instruction is one of the best methods to help teaching early childhood effectively. A selected Malay folk tale, its exercises and game will be discussed throughout the paper

Composite measures of individual and area-level socio-economic status are associated with visual impairment in Singapore

10.1371/journal.pone.0142302PLoS ONE1011e014230