A Knowledge-based Decision Support System for RP&M Process Selection

Due to the large variety of RP&M material/machines and the. strengths/weaknesses associated with different RP&M processes, the decision·to select a suitableRP&M system becomes increasingly difficult. This paper presents a knowledge-based approach for the selection ofsuitable RP&M material/machine to meet specific. requirements ofRP&Mapplications. The system receives input data on the CAD modelandthe user's specifications,andgenerates outputs that provide the most appropriate combination ofRP&Mmaterial/machine.·Optimal orientations, together with estimated manufacturing time and cost, are considered and given in the final outcome to help the user make the choice.Mechanical Engineerin

Integrated Decision Support System for Selection of RP Processes

This paper describes an ‘Integrated Decision Support System for the Selection of RP Processes (IDSSSRP)’. The basic methodology proposed in the IDSSSRP is a Sigma approach towards benchmarking of the Rapid Prototyping (RP) processes. It characterizes a RP process by using benchmarking and the sigma approach to assess its capability compared to its potential. Although the six-sigma approach has basically been a management concept and the success of its implementation has been on process time reduction and quality improvement, this paper adopts the use of six-sigma tools and benchmarking in the characterization of RP processes. Apart from geometrical benchmarks, other benchmarks include mechanical benchmarks and process benchmarks. Benchmarking individual RP processes facilitates standardization and reduces variability in the prototypes produced by the processes. Following standardizations of geometrical, mechanical and process benchmarks, a saturated database can then become very useful in providing decision support to the end user on a particular process as well as a source of information for benchmarking new RP machines. A case study of the benchmarking process developed on the Direct Metal Laser Sintering-Selective Laser Sintering (DMLS-SLS) RP process is presented using the proposed approach. This paper also outlines the working and implementation of a web-based decision support system based on the IDSSSRP.Mechanical Engineerin

Rapid Prototyping of 3D Scaffolds for Tissue Engineering Using a Four-Axis Multiple-Dispenser Robotic System

A desktop rapid prototyping (RP) system has been developed to fabricate scaffolds for tissue engineering (TE) applications. The system is a computer-controlled four-axis machine with a multiple-dispenser head. This paper presents the scaffold fabrication process to build free-form scaffolds from relevant features extracted from given CT-scan images for TE applications. This involves obtaining the required geometric data for the scaffold in the form of a solid model from CT-scan images. The extracted scaffold model is then sliced into consecutive two-dimensional (2D) layers to generate appropriately formatted data for the desktop RP system to fabricate the scaffolds. The basic material processing involves the sequential dispensing of two or more materials to form a strand. The four-axis system enables strands to be laid in a different direction at each layer to form suitable interlacing 3D free-form scaffold structures. The multipledispenser head also allows the introduction of living cells and additional materials during the scaffold building. The building of the scaffolds with the desktop RP system is described based on the sequential dispensing of chitosan dissolved in acetic acid and sodium hydroxide solution. Neutralization of the acetic acid by the sodium hydroxide results in a precipitate to form a gellike chitosan strand.Mechanical Engineerin

The genetic architecture of type 2 diabetes

The genetic architecture of common traits, including the number, frequency, and effect sizes of inherited variants that contribute to individual risk, has been long debated. Genome-wide association studies have identified scores of common variants associated with type 2 diabetes, but in aggregate, these explain only a fraction of heritability. To test the hypothesis that lower-frequency variants explain much of the remainder, the GoT2D and T2D-GENES consortia performed whole genome sequencing in 2,657 Europeans with and without diabetes, and exome sequencing in a total of 12,940 subjects from five ancestral groups. To increase statistical power, we expanded sample size via genotyping and imputation in a further 111,548 subjects. Variants associated with type 2 diabetes after sequencing were overwhelmingly common and most fell within regions previously identified by genome-wide association studies. Comprehensive enumeration of sequence variation is necessary to identify functional alleles that provide important clues to disease pathophysiology, but large-scale sequencing does not support a major role for lower-frequency variants in predisposition to type 2 diabetes

A Knowledge-based Decision Support System for RP&M Process Selection

Due to the large variety of RP&M material/machines and the. strengths/weaknesses associated with different RP&M processes, the decision·to select a suitableRP&M system becomes increasingly difficult. This paper presents a knowledge-based approach for the selection ofsuitable RP&M material/machine to meet specific. requirements ofRP&Mapplications. The system receives input data on the CAD modelandthe user's specifications,andgenerates outputs that provide the most appropriate combination ofRP&Mmaterial/machine.·Optimal orientations, together with estimated manufacturing time and cost, are considered and given in the final outcome to help the user make the choice.Mechanical Engineerin

Domain concept handling in automated text categorization

10.1109/ICIEA.2010.5514692Proceedings of the 2010 5th IEEE Conference on Industrial Electronics and Applications, ICIEA 20101543-154

Corpus building for corporate knowledge discovery and management: A case study of manufacturing

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)4692 LNAIPART 1542-55

A simple probability based term weighting scheme for automated text classification

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)4570 LNAI33-4

Pattern-oriented associative rule-based patent classification

10.1016/j.eswa.2009.07.069Expert Systems with Applications3732395-2404ESAP

On macro- and micro-level information in multiple documents and its influence on summarization

10.1016/j.ijinfomgt.2008.04.011International Journal of Information Management29157-66IJMA