Automatic identification and manipulation of receptor sites in proteins. 2. Electrostatic complementarity analysis for the evaluation and selection of candidate ligand receptor sites

1993 ◽  
Vol 33 (5) ◽  
pp. 769-775 ◽  
Author(s):  
Carlos A. Del Carpio ◽  
Yoshimasa Takahashi ◽  
Shinichi Sasaki
Keyword(s):  
Automatic Identification ◽  
Receptor Sites ◽  
Complementarity Analysis ◽  
Selection Of

scholarly journals Predicting the inhibition efficiencies of magnesium dissolution modulators using sparse machine learning models

2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Elisabeth J. Schiessler ◽  
Tim Würger ◽  
Sviatlana V. Lamaka ◽  
Robert H. Meißner ◽  
Christian J. Cyron ◽  
...  
Keyword(s):  
Corrosion Inhibition ◽  
Molecular Descriptors ◽  
Chemical Space ◽  
Chemical Compounds ◽  
Automatic Identification ◽  
Organic Additives ◽  
Statistical Tool ◽  
Degradation Behaviour ◽  
Corrosion Inhibition Efficiency ◽  
Selection Of

AbstractThe degradation behaviour of magnesium and its alloys can be tuned by small organic molecules. However, an automatic identification of effective organic additives within the vast chemical space of potential compounds needs sophisticated tools. Herein, we propose two systematic approaches of sparse feature selection for identifying molecular descriptors that are most relevant for the corrosion inhibition efficiency of chemical compounds. One is based on the classical statistical tool of analysis of variance, the other one based on random forests. We demonstrate how both can—when combined with deep neural networks—help to predict the corrosion inhibition efficiencies of chemical compounds for the magnesium alloy ZE41. In particular, we demonstrate that this framework outperforms predictions relying on a random selection of molecular descriptors. Finally, we point out how autoencoders could be used in the future to enable even more accurate automated predictions of corrosion inhibition efficiencies.

Design of special tools by CAD/CAM systems

1998 ◽  
Vol 212 (5) ◽  
pp. 357-371
Author(s):  
J C Rico ◽  
S Mateos ◽  
E Cuesta ◽  
C M Suárez
Keyword(s):  
Computer Aided Design ◽  
Automatic Identification ◽  
Automatic Design ◽  
Technological Parameters ◽  
Optimum Cutting ◽  
Cad Cam ◽  
The Cost ◽  
Aided Design ◽  
Cam Systems ◽  
Selection Of

This paper presents a program for the automatic design of special tools developed under a CAD/CAM (computer aided design/manufacture) system. In particular, the special tools made with standard components have been considered. Since the design of these types of tools was essentially related to the selection of their components, this paper deals with this aspect, insisting upon the selection of those components directly related to the removal of material: the toolholders or cartridges and the inserts. To select these components it is necessary to take into account not only geometrical or technological rules but also economical ones, owing to the high amount of possible components they can select. Consideration of economical aspects required the formulation of the cost equation associated with the use of these types of tools, characterized because their cutting edges coincide with different cutting velocities. Likewise, consideration of economical aspects allows the selection of the optimum cutting conditions and the cutting components to take place at the same time. Some of the geometrical and technological parameters related to the selection of cutting components are automatically identified by the system through an automatic identification of the workpiece profile.

scholarly journals Measurement system for over-the-air evaluation of UHF RFID tags quality

2016 ◽  
Vol 4 (1) ◽  
pp. 33-41 ◽  
Author(s):  
Riccardo Colella ◽  
Luca Catarinucci ◽  
Luciano Tarricone
Keyword(s):  
Radio Frequency Identification ◽  
Cost Effective ◽  
Automatic Identification ◽  
Rfid Tags ◽  
Uhf Rfid ◽  
Wireless Power ◽  
Measurement Systems ◽  
Frequency Identification ◽  
Selection Of

Radio-frequency identification (RFID) technology is a consolidated example of wireless power transfer system in which passive electromagnetic labels called tags are able to harvest electromagnetic energy from the reader antennas, power-up their internal circuitry and provide the automatic identification of objects. Being fully passive, the performance of RFID tags is strongly dependent on the context, so that the selection of the most suitable tag for the specific application becomes a key point. In this work, a cost-effective but accurate system for the over-the-air electromagnetic characterization of assembled UHF RFID tags is firstly presented and then validated through comparison with a consolidated and diffused measurement systems. Moreover, challenging use-cases demonstrating the usefulness of the proposed systems in analyzing the electromagnetic performance of label-type tags also when applied on different material or embedded into concrete structures have been carried out.

scholarly journals Multi-Criteria Selection of Surface Units for SAR Operations at Sea Supported by AIS Data

2021 ◽  
Vol 13 (16) ◽  
pp. 3151
Author(s):  
Miroslaw Wielgosz ◽  
Marzena Malyszko
Keyword(s):  
Selection Process ◽  
Traffic Density ◽  
Automatic Identification ◽  
Identification System ◽  
Rescue Services ◽  
Expert Analysis ◽  
Electronic Chart ◽  
And Performance ◽  
High Traffic Density ◽  
Selection Of

The authors discuss currently conducted research aimed at improving the planning and performance of search and rescue (SAR) operations at sea. The focus is on the selection of surface units in areas of high traffic density. A large number of ships in the area of distress can make the process of selection of best suited vessels longer. An analysis of features which may render a vessel unsuitable for the job, depending on the area and type of operation, has been conducted. Criteria of assessment and selection of ships have been described, preceded by an expert analysis. The selection process has been made using Multi-Criteria Decision Analysis (MCDA). The authors propose to apply officially available data from the Automatic Identification System (AIS)—a sensor for the ECDIS and other electronic chart systems—in the analysis of the availability of ships. Algorithms filtering available units have been built and applied in a simulation, using real AIS data, of one of the most common types of SAR operations. The method is proposed as an enhancement of decision support systems in maritime rescue services.

scholarly journals A Low-Cost Automated Digital Microscopy Platform for Automatic Identification of Diatoms

2020 ◽  
Vol 10 (17) ◽  
pp. 6033
Author(s):  
Jesús Salido ◽  
Carlos Sánchez ◽  
Jesús Ruiz-Santaquiteria ◽  
Gabriel Cristóbal ◽  
Saul Blanco ◽  
...  
Keyword(s):  
Learning Strategies ◽  
Low Cost ◽  
Automatic Identification ◽  
Digital Microscopy ◽  
Image Descriptors ◽  
Sample Classification ◽  
Difficult Time ◽  
Challenging Tasks ◽  
The Status ◽  
Selection Of

Currently, microalgae (i.e., diatoms) constitute a generally accepted bioindicator of water quality and therefore provide an index of the status of biological ecosystems. Diatom detection for specimen counting and sample classification are two difficult time-consuming tasks for the few existing expert diatomists. To mitigate this challenge, in this work, we propose a fully operative low-cost automated microscope, integrating algorithms for: (1) stage and focus control, (2) image acquisition (slide scanning, stitching, contrast enhancement), and (3) diatom detection and a prospective specimen classification (among 80 taxa). Deep learning algorithms have been applied to overcome the difficult selection of image descriptors imposed by classical machine learning strategies. With respect to the mentioned strategies, the best results were obtained by deep neural networks with a maximum precision of 86% (with the YOLO network) for detection and 99.51% for classification, among 80 different species (with the AlexNet network). All the developed operational modules are integrated and controlled by the user from the developed graphical user interface running in the main controller. With the developed operative platform, it is noteworthy that this work provides a quite useful toolbox for phycologists in their daily challenging tasks to identify and classify diatoms.

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