Design Support of Transportation Routing for a Multi Layered Factory

Recently, it becomes important to improve transportation capability to attain high productivity in manufacturing. One of the necessary schemes to attain the purpose is that the floor layout is initially to be optimized. After the floor layout is determined, reasonable equipment position for transportation is decided. Then the design of the transportation route is to be determined. In this paper, design support system for transportation routing, based on agent method is proposed. To optimize the transportation route, the working space by the side of the equipment is to be prepared. Starting from given floor layout of a three layered factory, an appropriate transportation route is pursuit using Ant algorithm. To check the applicability of the proposed method, case studies are carried out under various constraints and objective functions, and its effects were verified

The Influence of End Frictions on Stresses in Compressed Specimens

The present paper concerns the influences of end frictions on stresses in compressed rectangular and cylindrical specimens. In numerical calculations, the finite element method was employed. The following conclusions are made on the influences of the end frictions on stresses in the compressed specimens. (i) The more the end friction between the end of the specimen and the platten is reduced the more uniform stresses are developed in the specimen. (ii) When Poissoin's ratio is 1/6 and the coefficients of the end friction are approximately larger than 0.25, no lubrication can be practically expected, in other terms stresses in specimens with such coefficients of end friction are practically the same as stresses in specimens completely restrained at the ends. (iii) Stresses in both rectangular and cylindrical specimens are similar. The only difference is that the deviations of the axial stresses for various coefficients of frictions from the average are larger in cylindrical specimens than those in rectangular ones. (iv) Stresses in the mid-height region of the specimens are not so sensitive to the end friction as the compressed ends. Uniformity of stresses depends on the width-height or radius-height ratios as well as the end frictions. (v) For sufficiently small coefficients of the end friction, some portions of the end of the specimen slide and the shear stresses on the end become terrace-like and axial stressses become more or less uniform

Efficient Model Selection for Predictive Pattern Mining Model by Safe Pattern Pruning

Predictive pattern mining is an approach used to construct prediction models when the input is represented by structured data, such as sets, graphs, and sequences. The main idea behind predictive pattern mining is to build a prediction model by considering substructures, such as subsets, subgraphs, and subsequences (referred to as patterns), present in the structured data as features of the model. The primary challenge in predictive pattern mining lies in the exponential growth of the number of patterns with the complexity of the structured data. In this study, we propose the Safe Pattern Pruning (SPP) method to address the explosion of pattern numbers in predictive pattern mining. We also discuss how it can be effectively employed throughout the entire model building process in practical data analysis. To demonstrate the effectiveness of the proposed method, we conduct numerical experiments on regression and classification problems involving sets, graphs, and sequences

Molecular and Phenotypic Profiling for Precision Medicine in Pancreatic Cancer: Current Advances and Future Perspectives

Pancreatic cancer is the most common lethal malignancy, with little improvement in patient outcomes over the decades. The development of early detection methods and effective therapeutic strategies are needed to improve the prognosis of patients with this disease. Recent advances in cancer genomics have revealed the genetic landscape of pancreatic cancer, and clinical trials are currently being conducted to match the treatment to underlying mutations. Liquid biopsy-based diagnosis is a promising method to start personalized treatment. In addition to genome-based medicine, personalized models have been studied as a tool to test candidate drugs to select the most efficacious treatment. The innovative three-dimensional organoid culture platform, as well as patient-derived xenografts can be used to conduct genomic and functional studies to enable personalized treatment approaches. Combining genome-based medicine with drug screening based on personalized models may fulfill the promise of precision medicine for pancreatic cancer