A Frequent Pattern Mining Algorithm Based on Concept Lattice

The concept lattice is an effective tool for data analysis and rule extraction, it is often well to mine frequent patterns by making use of concept lattice. In this paper, a frequent itemset mining algorithm FPCL based on concept lattice which builds lattice in batches, the algorithm builds lattice down layer by layer through the layer concept nodes and temporary nodes based on hierarchical concept lattice; and seeks up the parent-child relationship upward concept nodes layer by layer, which can be generated the Hasse diagram with the inter-layer connection. In addition, in the process of the generation of each lattice node, we do the dynamic pruning for the concept lattice based on the minimum support degree and relevant properties, and delete a large number of non-frequent, repeat and containing nodes, such that redundant lattice nodes do not generate, thus the space and time complexities of the algorithm are greatly enhanced. The experimental results show that the algorithm has a good performance

Proceedings of the 29th EG-ICE International Workshop on Intelligent Computing in Engineering

This publication is the Proceedings of the 29th EG-ICE International Workshop on Intelligent Computing in Engineering from July 6-8, 2022. The EG-ICE International Workshop on Intelligent Computing in Engineering brings together international experts working on the interface between advanced computing and modern engineering challenges. Many engineering tasks require open-world resolution of challenges such as supporting multi-actor collaboration, coping with approximate models, providing effective engineer-computer interaction, search in multi-dimensional solution spaces, accommodating uncertainty, including specialist domain knowledge, performing sensor-data interpretation and dealing with incomplete knowledge. While results from computer science provide much initial support for resolution, adaptation is unavoidable and most importantly, feedback from addressing engineering challenges drives fundamental computer-science research. Competence and knowledge transfer goes both ways. &nbsp

Proceedings of the 29th EG-ICE International Workshop on Intelligent Computing in Engineering

This publication is the Proceedings of the 29th EG-ICE International Workshop on Intelligent Computing in Engineering from July 6-8, 2022. The EG-ICE International Workshop on Intelligent Computing in Engineering brings together international experts working on the interface between advanced computing and modern engineering challenges. Many engineering tasks require open-world resolution of challenges such as supporting multi-actor collaboration, coping with approximate models, providing effective engineer-computer interaction, search in multi-dimensional solution spaces, accommodating uncertainty, including specialist domain knowledge, performing sensor-data interpretation and dealing with incomplete knowledge. While results from computer science provide much initial support for resolution, adaptation is unavoidable and most importantly, feedback from addressing engineering challenges drives fundamental computer-science research. Competence and knowledge transfer goes both ways. &nbsp

Degradation of Fuel Cell Materials Investigated by Atomic Force Microscopy

In this contribution the ability of atomic force microscopy (AFM) for investigation of fuel cell components and determination of their degradation is demonstrated. In particular the mapping of adhesion force and dissipation energy of surfaces analyzed by an advanced material sensitive AFM technique - the HarmoniX™-mode (Bruker Corp.) - has been used as a measure for the relative polytetrafluoroethylene (PTFE) content of surfaces. Differently operated microporous layers (MPL) of commercial gas diffusion layers (GDL) have been investigated before and after operation and were compared to reference samples. The degradation of the cathode material compared to the anode was found to be higher. Another example for exploring the potential of AFM is the investigation of a cell with a segmented anode flow field. The relative change of surface properties at MPLs detected with AFM analysis was compared to the direct measurement of PTFE content by infrared spectroscopy (FTIR-ATR) and a good correlation of both results has been found for the analyzed segments. The ionically conductive structure of electrolyte membranes has also been investigated by conductive AFM in humid environment. High resolution images show an heterogeneous conductivity with non-conductive regions even after fuel cell operation. Sharply defined areas with same mean magnitude of current at the surface indicate the presence of an interpenetrating network of ionic channels connected beneath the surface. A correlation with surface properties measured by the PeakForce Quantitative Nanomechanical Property Mapping (QNM™) is observed

Synthesis of Ordered Intermetallic PtBi2 Nanoparticles for Methanol-tolerant Catalyst in Oxygen Electro-reduction

NRC publication: Ye

Effect of Relative Humidity on PEM Fuel Cell Performance at Elevated Temperature

NRC publication: Ye

Analysis of aged Polymer Electrolyte Fuel Cell (PEFC) components by non traditional methods

The ageing of microporous layers (MPL) of fuel cell gas diffusion layers has been quantitavely analyzed using a special atomic force microscopy technique, namely the so-called HarmoniX technique. From the change of mean adhesion force under dry and wet conditions an increased loss of polytetrafluoroethylene (PTFE) at the cathode was found. With ionic current measurement in tappingand contact mode by AFM, activated Nafion was investigated before fuel cell operation with high resolution and individual ionic channels were imaged in one cluster. These measurements were compared to the current distribution of membranes after 1600 h of fuel cell operation under OCV. Distinct current levels were found which demonstrate the existence of an interpenetrating ionic network with different branches not directly connected at the surface. SEM/EDX investigations of the specially designed fuel cells indicate an important role of platinum in degradation of membranes.Peer reviewed: YesNRC publication: Ye

Uniportal Thoracoscopic Wedge Resection of Lung Nodules: Paravertebral Blocks Are Better Than Intercostal Blocks

Background. Regional analgesia for tubeless, uniport, thoracoscopic wedge resection of benign peripheral nodules is generally performed by intercostal nerve block (INB). We examined the effectiveness of thoracic paravertebral block (PVB), in comparison to the traditional intercostal blocks, for the procedure. Methods. Between July 2016 and December 2016, 20 consecutive patients with solitary benign peripheral lung nodules underwent tubeless uniport thoracoscopic wedge resection using thoracic PVB (PVB group). The clinical outcomes were compared with those of 20 other consecutive patients who underwent the same procedure under the conventional INB, between January 2016 and July 2016 (INB group). In both groups, the procedures were performed without endotracheal intubation, urinary catheterization, or chest tube drainage. Results. The clinical data of patients in both groups were comparable in terms of demographic and baseline characteristics, operative and anesthetic characteristics, puncture-related complications, and postoperative anesthetic adverse events. No puncture-related complications occurred during the perioperative period in either group. The threshold values for mechanical pain at postoperative hours 4 and 8 were significantly higher in the PVB group than in the INB group. Furthermore, the incidence of nausea or vomiting in the PVB group was significantly less than that in the INB group. None of the patients required reintervention or readmission to our hospital. Conclusions. Tubeless uniportal thoracoscopic wedge resection for solitary benign peripheral lung nodules using thoracic PVB for regional analgesia is a feasible and safe procedure. Moreover, we found that thoracic PVB is less painful than INB.status: publishe