Modelling for injection moulding process based on principal component regression method

Determination of the optimal operating condition for moulding process has been of special interest for many researchers. To determine the optimal setting, one has to derive the model of injection moulding process first which is able to map the relationship between the input process control factors and output responses. One of most popular modeling techniques is the linear least square regression due to its effectiveness and completeness. However, the least square regression was found to be very sensitive to the outliers and failed to provide a reliable model if the control variables are highly related with each other. To address this problem, a new modeling method based on principal component regression was proposed in this paper. The distinguished feature of our proposed method is it does not only consider the variance of covariance matrix of control variables but also consider the correlation coefficient between control variables and target variables to be optimised. Such a modelling method has been implemented into a commercial optimisation software and field test results demonstrated the performance of the proposed modelling method.

Assessing body condition and energy budget components by scoring abdominal profiles in free-ranging pink-footed geese Anser brachyrhynchus

An abdominal profile index (API) was developed for pink-footed geese Anser brachyrhynchus as a measure of body condition. On basis of carcass analysis of 56 adult geese with known API prior to collection, we found significant linear relationships between API against body mass, abdominal fat and total energy content. Hence, changes in API reflect net energy intake rates. As an example of the applicability of the calibration, we compared APIs of individually marked geese before and after long migration episodes and estimated the cost of flight at 8.9 kJ/km. In addition we estimated gain rates at three major staging sites along the spring flyway indicating an increase in fueling rates with latitude. Calibration of APIs and energy contents offers new opportunities for field studies of waterfowl energetics.

Web service to deliver filtered RSS items to a mobile application

In the past decade there has been massive growth of data on the internet. Many people rely on XML based RSS feeds to receive updates from websites. In this paper, we propose a method for managing the RSS feeds from various news websites. A web service is developed to deliver filtered news items from RSS feeds to a mobile client. Each news item is indexed, subsequently, the indexes are used for filtering news items. Indexing is done in two steps. First, classical text categorization algorithms are used to assign a category to each news item, second, geoparsing is used to assign geolocation data to each news item. An android application is developed to access filtered news items by consuming the proposed web service. A prototype is implemented using Rapid miner 5.0 as the data mining tool and SVM as the classification algorithm. Geoparsing and geocoding web services, and Android API are used to implement location-based access to news items. Experimental results prove that the proposed approach is effective and saves a significant amount of information overload processing time.

An improved TIGER2 implementation for NAMD suitable for the Blue Gene architecture

Here we present an improved implementation of the TIGER2 Replica Exchange Molecular Dynamics (REMD) method, using the replica exchange Application Programming Interface (API) found in contemporary versions of the NAMD Molecular Dynamics Package. The implementation takes the form of a TCL script which is used in conjunction with the standard configuration file. This implementation is validated against a previous TIGER2 implementation, as well as data reported for the original TIGER2 simulations. Our implementation is compatible with a range of architectures; crucially it enables the use of this wrapper with the BlueGene/Q architecture, in addition to the x86 architecture. Program summary: Program title: TIGER2-NAMD. Catalogue identifier: AEWC_v1_0. Program summary URL: http://cpc.cs.qub.ac.uk/summaries/AEWC_v1_0.html Program obtainable from: CPC Program Library, Queen's University, Belfast, N. Ireland. Licensing provisions: Standard CPC licence, http://cpc.cs.qub.ac.uk/licence/licence.html No. of lines in distributed program, including test data, etc.: 34151. No. of bytes in distributed program, including test data, etc.: 424217. Distribution format: tar.gz. Programming language: Tcl 8.5. Computer: x86 Clusters, BlueGene/Q, Workstations. Operating system: Linux, IBM Compute Node Kernel. Has the code been vectorised or parallelised?: Yes. MPI Parallelism. Classification: 3. External routines: NAMD 2.9 (http://www.ks.uiuc.edu/Research/namd/). Nature of problem: Replica Exchange Molecular Dynamics. Solution method: Each replica runs through multiple cycles of heating and cooling with exchanges between them being attempted. Running time: Typically 30 mins, up to an hour.