Increasingly fierce business competition requires companies to be able to meet customer desires on time, in the right amount and in the right quality. FMCG XXX Company is a skin care product ...manufacturing company that focuses on production activities. Therefore, the company transfers product distribution activities to customers (distributors) to Logistics Service Providers (LSP). FMCG XXX hold consumer’s satisfaction in the highest regard. Along with the increasing number of activities being diverted, FMCG XXX companies aim to evaluate LSP performance through appropriate indicators. The indicators evaluated in this study adopt dimensions in Physical Distribution Service Quality (PDSQ) which consist of three dimensions, namely timeliness, availability and condition. Based on the results of the study, 13 indicators were obtained that FMCG XXX Company used to evaluate LSP performance. In general, around 69% of LSP's actual performance has been able to meet the targets set by the company, where two indicators are able to exceed the target and seven indicators are in accordance with the target. However, the company still has to focus on four indicators that have negative deviations because the actual performance value is less than the target set by the company. Negative indicators come from the availability and condition dimensions. The company coordinates with LSP to design improvement projects in order to improve actual performance according to the company's targets.
The performance of traditional face recognition systems is sharply reduced when encountered with a low-resolution (LR) probe face image. To obtain much more detailed facial features, some face ...super-resolution (SR) methods have been proposed in the past decade. The basic idea of a face image SR is to generate a high-resolution (HR) face image from an LR one with the help of a set of training examples. It aims at transcending the limitations of optical imaging systems. In this paper, we regard face image SR as an image interpolation problem for domain-specific images. A missing intensity interpolation method based on smooth regression with a local structure prior (LSP), named SRLSP for short, is presented. In order to interpolate the missing intensities in a target HR image, we assume that face image patches at the same position share similar local structures, and use smooth regression to learn the relationship between LR pixels and missing HR pixels of one position patch. Performance comparison with the state-of-the-art SR algorithms on two public face databases and some real-world images shows the effectiveness of the proposed method for a face image SR in general. In addition, we conduct a face recognition experiment on the extended Yale-B face database based on the super-resolved HR faces. Experimental results clearly validate the advantages of our proposed SR method over the state-of-the-art SR methods in face recognition application.
A 316L alloy finds its application in diverse industries most profoundly used for marine application. Effect of corrosion becomes an inevitable negative attribute in the marine industry, ...particularly, the development of oxide layer formation restricted by the NaCl which creates a broken surface, developing into an inevitable failure of the surface and thereby the machinery. This study aims to develop a processing technique, namely the low pulse energy, laser shock peening process to slow down and inhibit the growth of the oxide layer. 316L alloys are primarily subjected to a low pulse laser shock peening process which is then treated in 3.5% of NaCl solution to analyze the corrosion behavior. The treated and untreated samples are subjected to various characterization techniques such as SEM to identify microstructural variation, XRD to evaluate the compressive residual stress induced, potentiostat galvanic device to understand the corrosion resistance of treated 316L. Promising results were observed through the polarization curve, wherein no 40% lower corrosion rate was obtained for the low pulse energy LSP of 400 mJ.
LSP(n), the largest small polygon with n vertices, is a polygon with a unit diameter that has a maximal of area A(n). It is known that for all odd values n≥3, LSP(n) is a regular n-polygon; however, ...this statement is not valid even for values of n. Finding the polygon LSP(n) and A(n) for even values n≥6 has been a long-standing challenge. In this work, we developed high-precision numerical solution estimates of A(n) for even values n≥4, using the Mathematica model development environment and the IPOPT local nonlinear optimization solver engine. First, we present a revised (tightened) LSP model that greatly assists in the efficient numerical solution of the model-class considered. This is followed by results for an illustrative sequence of even values of n, up to n≤1000. Most of the earlier research addressed special cases up to n≤20, while others obtained numerical optimization results for a range of values from 6≤n≤100. The results obtained were used to provide regression model-based estimates of the optimal area sequence {A(n)}, for even values n of interest, thereby essentially solving the LSP model-class numerically, with demonstrably high precision.
Tasting descriptors, which are common terms used to describe a food product, play a significant role in tasting discourse and particularly in tasting notes. Although they have been the subject of a ...number of studies from different perspectives, none of them describe and classify descriptors from their form, function and combination in tasting notes in English. In this paper, we examine a corpus of tasting notes with the aim of 1. determining the positioning of English descriptors in relation to the keywords designating the tasting process; 2. scoping the depth of description, as indicated by the number of descriptors; 3. identifying if the descriptors are specific to a given aspect of the food product or are generic enough to be used to describe different aspects of it.; and 4. categorizing frequent semantic associative processed among descriptors and keywords. Our results will be a valuable resource for professionals, technical writers and students’ tasters in English.
This reprint was established after the 9th International Workshop on Numerical and Evolutionary Optimization (NEO), representing a collection of papers on the intersection of the two research areas ...covered at this workshop: numerical optimization and evolutionary search techniques. While focusing on the design of fast and reliable methods lying across these two paradigms, the resulting techniques are strongly applicable to a broad class of real-world problems, such as pattern recognition, routing, energy, lines of production, prediction, and modeling, among others. This volume is intended to serve as a useful reference for mathematicians, engineers, and computer scientists to explore current issues and solutions emerging from these mathematical and computational methods and their applications.
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