NEARBY Platform: Algorithm for Automated Asteroids Detection in Astronomical Images

In the past two decades an increasing interest in discovering Near Earth Objects has been noted in the astronomical community. Dedicated surveys have been operated for data acquisition and processing, resulting in the present discovery of over 18.000 objects that are closer than 30 million miles of Earth. Nevertheless, recent events have shown that there still are many undiscovered asteroids that can be on collision course to Earth. This article presents an original NEO detection algorithm developed in the NEARBY research object, that has been integrated into an automated MOPS processing pipeline aimed at identifying moving space objects based on the blink method. Proposed solution can be considered an approach of Big Data processing and analysis, implementing visual analytics techniques for rapid human data validation.Comment: IEEE 14th International Conference on Intelligent Computer Communication and Processing (ICCP), Sep 6-8, 2018, Cluj-Napoca, Romani

Lost sales inventory models with batch ordering and handling costs

In this paper, we integrate inventory and handling into a single model for analysis and optimization of inventory replenishment decisions for a grocery retail store. We consider a retailer who periodically manages his inventory of a single item facing stochastic demand. The retailer may only order in multiples of a xed batch size, the lead time is less than the review period length and all unmet demand is lost, which is a realistic situation for a large part of the assortment of grocery retailers. The replenishment cost includes both xed and variable components, dependent on the number of batches and units in the order. This structure captures the shelf-stacking costs in retail stores. We investigate the optimal policy structure under the long-run average cost criterion. Our results show that it is worthwhile to explicitly take handling costs into account when making inventory decisions. We use parameter values typical for rocery retail environments. For an important subset of the retail assortment, we show that signicant cost reductions exist by explicitly considering handling in the inventory policy. Keywords: Retail inventory control, Handling, Lost sales, Periodic review, Fixed batch size

NEARBY Platform for Detecting Asteroids in Astronomical Images Using Cloud-based Containerized Applications

The continuing monitoring and surveying of the nearby space to detect Near Earth Objects (NEOs) and Near Earth Asteroids (NEAs) are essential because of the threats that this kind of objects impose on the future of our planet. We need more computational resources and advanced algorithms to deal with the exponential growth of the digital cameras' performances and to be able to process (in near real-time) data coming from large surveys. This paper presents a software platform called NEARBY that supports automated detection of moving sources (asteroids) among stars from astronomical images. The detection procedure is based on the classic "blink" detection and, after that, the system supports visual analysis techniques to validate the moving sources, assisted by static and dynamical presentations.Comment: IEEE 14th International Conference on Intelligent Computer Communication and Processing (ICCP), Cluj-Napoca, Romani

New records and noteworthy data of plants, algae and fungi in SE Europe and adjacent regions, 11

This paper presents new records and noteworthy data on the following taxa in SE Europe and adjacent regions: red algae Sheathia confusa, parasitic fungus Anthracoidea caryophylleae, mycorrhizal fugus Hydnellum caeruleum, bryoparasitic fungus Octospora erzbergeri, liverwort Cephaloziella baumgartneri, mosses Hamatocaulis vernicosus, Streblotrichum convolutum var. commutatum and Ulota crispula, monocots Ophrys bertolonii subsp. bertolonii, Ophrys scolopax subsp. cornuta and Spiranthes spiralis and dicots Androsace hedraeantha, Hieracium mrazii, Ramonda nathaliae and Triglochin palustris are given within SE Europe and adjacent region

Modelling handling operations in grocery retail stores : an empirical analysis

Shelf stacking represents the daily process of manually refilling the shelves with products from new deliveries. For most retailers, handling operations are labour-intensive and often very costly. This paper presents an empirical study of the shelf-stacking process in grocery retail stores. We examine the complete process at the level of individual sub-activities and study the main factors that affect the execution time of this common operation. Based on the insights from different sub-activities, a prediction model is developed that allows estimating the total stacking time per order line, solely on the basis of the number of case packs and consumer units. The model is tested and validated using real-life data from two European grocery retailers and serves as a useful tool for evaluating the workload required for the usual shelf-stacking operations. Furthermore, we illustrate the benefits of the model by analytically quantifying the potential time savings in the stacking process, and present a lot-sizing analysis to demonstrate the opportunities for extending inventory control rules with a handling component

Modelling handling operations in grocery retail stores : an empirical analysis

Shelf stacking represents the daily process of manually refilling the shelves with products from new deliveries. For most retailers, handling operations are labour-intensive and often very costly. This paper presents an empirical study of the shelf-stacking process in grocery retail stores. We examine the complete process at the level of individual sub-activities and study the main factors that affect the execution time of this common operation. Based on the insights from different sub-activities, a prediction model is developed that allows estimating the total stacking time per order line, solely on the basis of the number of case packs and consumer units. The model is tested and validated using real-life data from two European grocery retailers and serves as a useful tool for evaluating the workload required for the usual shelf-stacking operations. Furthermore, we illustrate the benefits of the model by analytically quantifying the potential time savings in the stacking process, and present a lot-sizing analysis to demonstrate the opportunities for extending inventory control rules with a handling component

Cognitive robotics software development aspects based on experiments of future software engineers

Contains fulltext : 225927.pdf (Publisher’s version ) (Closed access)Machine learning algorithms are widely used in the domain of robotics. In particular, applications using machine learning and artificial intelligence algorithms have led to promising results in industrial applications, cognitive robotics and thus gained attention in recent years. In this context, the purpose of this article is to present the technologies and architectures used in the design and development of cognitive robots by students. This study highlights the difficulties encountered by future engineers in developing research projects in robotics.2020 11th IEEE International Conference on Cognitive Infocommunications (CogInfoCom) (Mariehamn, Finland, 23-25 Sept. 2020

Using eye-tracking to examine query syntax and method syntax comprehension in LINQ

Item does not contain fulltextEye movement tracking systems offer the opportunity to observe and study a complex cognitive process such as programming. As a consequence of the growing number of program systems, software developers need to be able to use more and more programming technologies effectively. The paper analyses one of the possibilities of the C# programming language, the two types of the Language-Integrated Query data abstraction layer, that is the readability and comprehensibility of query and method syntax-based queries by evaluating the knowledge level and evaluating eye movement parameters.2020 11th IEEE International Conference on Cognitive Infocommunications (CogInfoCom) (Mariehamn, Finland, 23-25 Sept. 2020