Lee SK, et al. Healthc Inform Res. 2014 Apr;20(2):125-134. http://dx.doi.org/10.4258/hir.2014.20.2.125

Transient receptor potential (TRP) channels are a family of Ca²⁺-permeable cation channels that play a crucial role in biological and disease processes. To advance TRP channel research, we previously created the TRIP (TRansient receptor potential channel-Interacting Protein) Database, a manually curated database that compiles scattered information on TRP channel protein-protein interactions (PPIs). However, the database needs to be improved for information accessibility and data utilization. Here, we present the TRIP Database 2.0 (http://www.trpchannel.org) in which many helpful, user-friendly web interfaces have been developed to facilitate knowledge acquisition and inspire new approaches to studying TRP channel functions: 1) the PPI information found in the supplementary data of referred articles was curated; 2) the PPI summary matrix enables users to intuitively grasp overall PPI information; 3) the search capability has been expanded to retrieve information from ‘PubMed’ and ‘PIE the search’ (a specialized search engine for PPI-related articles); and 4) the PPI data are available as sif files for network visualization and analysis using ‘Cytoscape’. Therefore, our TRIP Database 2.0 is an information hub that works toward advancing data-driven TRP channel research.

We present two magnetic particle imaging (MPI) systems with bore sizes of 75 mm and 100 mm, respectively, using three-dimensionally arranged permanent magnets for excitation and frequency mixing magnetic detection (FMMD) coils for detection. A rotational and a translational stage were combined to move the field free line (FFL) and acquire the MPI signal, thereby enabling simultaneous overall translation and rotational movement. With this concept, the complex coil system used in many MPI systems, with its high energy consumption to generate the drive field, can be replaced. The characteristic signal of superparamagnetic iron oxide (SPIO) nanoparticles was generated via movement of the FFL and acquired using the FMMD coil. The positions of the stages and the occurrence of the f₁ + 2f₂ harmonics were mapped to reconstruct the spatial location of the SPIO. Image reconstruction was performed using Radon and inverse Radon transformations. As a result, the presented method based on mechanical movement of permanent magnets can be used to measure the MPI, even for samples as large as 100 mm. Our research could pave the way for further technological developments to make the equipment human size, which is one of the ultimate goals of MPI.

We propose a vision-based automatic inspection system for machine parts using a novel image processing method. We also built a standalone inspection system using low-cost computing hardware, camera, and lens. Our system inspects rough spot or unwanted particles, which are called “burr”, on machine parts after they are manufactured by CNC machines. A burr is side effects during machining operations. It causes many problems in assembling tasks or brings out machine failure at working time. To automate screening out defected goods, which have burrs, we proposed a low cost vision system and image processing method. Furthermore, we evaluated the accuracy of the proposed method using burr detection rates.

This paper presents a new method for detecting tool breakages at CNC machines in real time. Corruptions of CNC tools in the manufacturing industry are a major impact on production management and quality control in the factories maintaining large quantities of CNC machines. Accordingly, from the viewpoint of an equipment management, monitoring damages of tools in real time is essential tasks. Solutions for this problems is to assign enough monitoring operators and they should continue this jobs for 24 hours. It is possible to occur human errors potentially during all-day monitoring processes, and these kind of tasks increase production costs. Thus, we propose a novel method to detect breakages of tools automatically, which detects a fracture state of tools using signals of CNC spindle motor loads. In addition, we presented the applied results of the proposed method to a manufacturing site.

Web services enables application developers to implement a new application by composing several Web Services. As the recovery mechanisms of Web services composition specifications are insufficient for automatic recovery of system faults, we propose recovery policies for the fault handling of Web services-based business processes. The suggested recovery policies enable the business process execution system to automatically recover the business process from a system fault. As being determined at design time, the recovery polices brings about the reduction of recovery time at run time. In addition, the recovery policies prohibit unexpected side effects resulted from wrong recovery behavior determined at run time