This chapter presents the application of a neural network to the industrial process modeling of high-pressure die casting (HPDC). The large number of interand intradependent process parameters makes it difficult to obtain an accurate physical model of the HPDC process that is paramount to understanding the effects of process parameters on casting defects such as porosity. The first stage of the...

We introduce the notion of relevant information loss for the purpose of casting the signal enhancement problem in information-theoretic terms. We show that many algorithms from machine learning can be reformulated using relevant information loss, which allows their application to the aforementioned problem. As a particular example we analyze principle component analysis for dimensionality reduc...

Manufacturing industries are still in the phase of improving accuracy order to improve quality a component or product. In this review paper solve industrial problem we going make study based on vacuum pressure casting for manufacturing complex shaped components and also studied sheet metal using method instead forming method. Vacuum will meet requirement case achieving high with thin wall body ...

We address two challenges for automatic machine translation evaluation: a) avoiding the use of reference translations, and b) focusing on adequacy estimation. From an economic perspective, getting rid of costly hand-crafted reference translations (a) permits to alleviate the main bottleneck in MT evaluation. From a system evaluation perspective, pushing semantics into MT (b) is a necessity in o...

BACKGROUND Conventional investing and casting techniques are time-consuming and usually requires 2-4 h for completion. Accelerated nonstandard, casting techniques have been reported to achieve similar quality results in significantly less time, namely, in 30-40 min. During casting, it is essential to achieve compensation for the shrinkage of solidifying alloy by investment expansion. The metal ...

Solidification rate of the casting affects greatly on the microstructure, quality as well as the mechanical properties of the casting. In centrifugal castings solidification rate is faster compared to gravity casting but still solidification depends on various process parameters like, die wall temperature, pouring temperature of the molten metal, wall thickness of the die and also rotational sp...

In this work, we investigate gaze selection in the context of mid-air hand gestural manipulation of 3D rigid bodies on monoscopic displays. We present the results of a user study with 12 participants in which we compared the performance of Gaze, a Raycasting technique (2D Cursor) and a Virtual Hand technique (3D Cursor) to select objects in two 3D mid-air interaction tasks. Also, we compared se...

This paper introduces a new technique to detect the coronary arteries as well as other heart’s peripheral vessels. After finding the location of the myocardium through a graph theoretic segmentation method, the algorithm models the heart with a biaxial ellipsoid. For each point of this ellipsoid, we compute the collection of intensities that are normal to the surface. This collection is then fi...

The ability of now-casting and eventuality is the most crucial and vital achievement of big data analytics in the area of policy-making. To recognize the trends and to render a real image of the current condition and alarming immediate indicators, the significance and the specific positions of big data in policy-making are undeniable. Moreover, the requirement for policy-making institutions to ...

We shed light on the discrimination between patterns belonging to two different classes by casting this decoding problem into a generalized prototype framework. The discrimination process is then separated into two stages: a projection stage that reduces the dimensionality of the data by projecting it on a line and a threshold stage where the distributions of the projected patterns of both clas...