This paper presents an overview related to warehouse optimization problems. The problems are divided in several groups. First, the basic technical structure of is described. Second, standard operational and organizational framework warehousing company characterized, which special attention this work. Third, coordinating controlling systems for operations briefly mentioned, typical dependent on main contribution show current state art mentioned three groups interest logistic warehouses...

This paper presents an automatic approach to a non-cryptographic hash function design based on grammar guided genetic programming. The describes how it is possible function, implementation issues such as terminal and nonterminal symbols, fitness measure, used context-free grammar. main aim of this link the expert knowledge in process which can try many more combinations then can. automatically designed competitive with human compared most hashes field speed processing collision resistance....

In this paper two stage biometric data protection scheme is being proposed using permutation and substitution mechanism of the chaotic theory which lossless in nature. Arnold transformation Henon map used to design an efficient encryption system. The method aimed at generating encrypted image that will have statistical properties completely dissimilar from original analysis make it difficult for any intruder decrypt image. performance has been experimentally analyzed correlation based...

Object detection in ultrasound images is difficult problem mainly because of relatively low signal-to-noise ratio. This paper deals with object the noisy using modified version Viola-Jones detector. The method describes carotid artery longitudinal section B-mode images. detector primarily trained by AdaBoost algorithm and uses a cascade Haar-like features as classifier. main contribution this for section. creates classifiers automatically genetic algorithms. We also created post-processing...

BackgroundAgar plate analysis is vital for microbiological testing in industries like food, pharmaceuticals, and biotechnology. Manual inspection slow, laborious, error-prone, while existing automated systems struggle with the complexity of real-world agar plates. A shortage diverse datasets hinders development evaluation robust systems.MethodsIn this paper, two new annotated a novel methodology synthetic generation are presented. The comprise 854 images cultivated plates 1,588 empty plates,...

Using modern Graphic Processing Units (GPUs) becomes very useful for computing complex and time consuming processes. GPUs provide high-performance computation capabilities with a good price. This paper deals multi-GPU OpenCL implementation of k-Nearest Neighbor (k-NN) algorithm. The proposed algorithm achieves acceleration up to 750x in comparison single thread CPU version. common k-NN was modified be faster when the lower number k neighbors is set. performance verified two dual-core NVIDIA...

The aim of this study is to help improve the diagnostic and performance capabilities Rapid Access Chest Pain Clinics (RACPC), by reducing delay inaccuracies in cardiovascular risk assessment patients with chest pain helping clinicians effectively distinguish acute angina from those other causes pain. Key our new approach (1) an intelligent prospective clinical decision support framework for primary secondary care clinicians, (2) learning missing/impartial data using Bernoulli mixture models...

Current SARS-CoV-2 detection platforms lack the ability to differentiate among variants of concern (VOCs) in an efficient manner. CRISPR (Clustered Regularly Interspaced Short Palindromic Repeats) has potential transform diagnostics due its programmability. However, many CRISPR-based methods are reliant on either a multi-step process involving amplification or elaborate guide RNA designs. A complete one-pot reaction using alternative Cas effector endonucleases been proposed overcome these...

The computer vision connected to image understanding becomes more and important in everyday life. This paper concerns the (dis)similarity assessment grouping. main contribution of this is method for based on dominant colors. experimental results showed better than Direct Pixel Similarity Color Histograms proved be capable detecting images similar target image.

This paper presents a new approach to the classifier design used in Viola-Jones object detector implemented RadpidMiner Image Mining Extension. The proposed this is fact creation of classification tree designed by genetic programming algorithm. resulting as an alternative standard cascade In paper, shown, incorporation into operator described, and experimental results face process are depicted compared

This paper describes a novel method for solving the problem of automatic planning and scheduling work-plans in logistic distribution centers. The solution is based on well-known problems such as Job-Shop Scheduling Problems or Vehicle Routing Problems. By time writing this article, key representatives logistics warehousing industry do not use fully automated processes work scheduling. purpose to connect scientific result with demands companies industry. main contribution a) describe...

Scene classification based on global features. It can be used, for example, annotating large databases of photos. The whole process has several steps. first step is features extraction, and then the distance between a new image reference images calculated. A model trained to classify this distance. was created using Naïve Bayes classifier. To improve accuracy forward selection which optimizes group attributes. overall performance testing dataset 69.76%.

This paper describes a set of new operators for grammar guided genetic programming algorithm used workflow optimization in logistic distribution centers. The is focused on the description design five operators, results particular work-flow process and comparison performance operators. main contribution this to show automated problem solving techniques form applied which able optimize given from area warehousing.

The MBT Pathfinder is an automated colony-picking robot designed for efficient sample preparation in matrix-assisted laser desorption/ionization time-of-flight (MALDI-TOF) mass spectrometry. This article presents results from three key experiments evaluating the instrument's performance conjunction with MALDI Biotyper instrument. method comparison experiment assessed its clinical performance, demonstrating comparable gram-positive, gram-negative, and anaerobic bacteria (scores larger than...

Automatic optimization techniques, such as evolutionary algorithms, have become popular in the recent years a general, simple, robust, and scalable solution which can be applied when other method fails. Recently, many and/or genetic based frameworks libraries been developed lot of them is freely available. On hand, there are not tools field that allows researchers to implement own code, modify existing code or compare different algorithms. This paper proposes new grammar driven programming...

Most of the current image object detection algorithms use very large data sets for their training and these methods are also optimized those big sets. Unfortunately, in many cases it is costly or even impossible to collect (e.g. medicine, astronomy, other fields). In this paper a new approach based on Dalal's Histogram Oriented Gradients (HOG) [3] introduced. It devoted from single template achieve reasonable accuracy with limited set. The validated 100 images, where half them contains...