Maximizing throughput of jobs with multiple resource requirements

2011 ◽  
Author(s):  
Venkatesan T. Chakaravarthy ◽  
Sambuddha Roy ◽  
Yogish Sabharwal ◽  
Neha Sengupta
Keyword(s):  
Resource Requirements ◽  
Multiple Resource

Hard and light gamification in education: Which one to choose?

2020 ◽  
Vol 1 (1) ◽  
pp. 20-27
Author(s):  
E. V. Karmanova ◽  
V. A. Shelemetyeva
Keyword(s):  
Computer Games ◽  
Educational Process ◽  
Course Development ◽  
Learning Technology ◽  
Training Course ◽  
Resource Requirements ◽  
E Learning ◽  
Characteristic Features ◽  
Game Elements

The article is devoted to the implementation of gamification methods in the educational process. The characteristic features of light and hard gamification are presented. The appropriateness of using gamification when applying e-learning technology is considered. Classification of courses based on hard gamification taking into account the technological features of development is proposed: courses-presentations, courses — computer games, VR/AR courses. The article also illustrates the use of various game elements of easy gamification using the example of the module “Level up! — Gamification” of the Moodle LMS. The capabilities of this module can be used in an electronic course by any teacher who has the skills of working with the Moodle.The authors present the analysis of the development of a training course in sales techniques using hard and light gamification technologies, where the course development was assessed for its complexity, manufacturability, and resource requirements. The results of the analysis showed that the development of courses using hard gamification requires much more financial and time-consuming than the development of courses using light gamification.The article evaluates the results of the educational intensiveness intense “Island 10–22”, held in July 2019 in Skolkovo, in which 100 university teams, teams of research and educational centers, teams of schoolchildren — winners of competitions, olympiads, hackathons (“Young Talents”) participated. The results of the intense confirmed the effectiveness of the use of light gamification methods in adult training. Thus, the conclusions presented in the article reveal a number of advantages that light gamification has in comparison with hard gamification.

Competency management of laboratory personnel using LIMS

2020 ◽  
Vol 10 (6) ◽  
pp. 636-641
Author(s):  
Konstantin S. Varaksin ◽  
◽  
Artem S. Makarov ◽  
Alexander Y. Lyapin ◽  
◽  
...  
Keyword(s):  
Quality Management ◽  
Management System ◽  
Quality Management System ◽  
Information Management System ◽  
Test System ◽  
Test Methods ◽  
Laboratory Activities ◽  
Resource Requirements ◽  
Laboratory Workers ◽  
Competence Test

The updated edition of the ISO/IEC 17025 standard introduced significant changes to the structure, terminology, resource requirements, processes, quality management system of testing and calibration laboratories. New requirements were established for the organization of laboratory activities – a process approach and risk-based thinking, which provides for a reduction in part of the prescriptive requirements and the introduction of requirements based on the analysis of the performance of actions. In accordance with GOST ISO IEC 17025-2019, the laboratory must authorize personnel to perform specific laboratory activities, as well as guarantee their competence. This article discusses the organization of the competence management system for the personnel of the laboratories of the organizations of Transneft system using the laboratory information management system (LIMS). The model of the process implementation has been described. It has been established that the competence test system allows you to regularly monitor the skills and knowledge of laboratory workers both in terms of the elements of the Quality Management System and in the applied measurement (test) methods. The personnel responsibility matrix implemented in LIMS regulates the powers and functionality of employees, ensuring that employees are allowed to perform work in accordance with their competence. The functions implemented in LIMS made it possible to automate the management of the competence of laboratory workers in accordance with the requirements of GOST ISO/IEC 17025-2019 and other regulatory documents.

scholarly journals A Study of Features and Deep Neural Network Architectures and Hyper-Parameters for Domestic Audio Classification

2021 ◽  
Vol 11 (11) ◽  
pp. 4880
Author(s):  
Abigail Copiaco ◽  
Christian Ritz ◽  
Nidhal Abdulaziz ◽  
Stefano Fasciani
Keyword(s):  
Network Architecture ◽  
Single Channel ◽  
Classification Performance ◽  
Network Size ◽  
Directed Acyclic Graphs ◽  
Spectral Features ◽  
Audio Classification ◽  
Resource Requirements ◽  
Efficient Alternative ◽  
Computational Resources

Recent methodologies for audio classification frequently involve cepstral and spectral features, applied to single channel recordings of acoustic scenes and events. Further, the concept of transfer learning has been widely used over the years, and has proven to provide an efficient alternative to training neural networks from scratch. The lower time and resource requirements when using pre-trained models allows for more versatility in developing system classification approaches. However, information on classification performance when using different features for multi-channel recordings is often limited. Furthermore, pre-trained networks are initially trained on bigger databases and are often unnecessarily large. This poses a challenge when developing systems for devices with limited computational resources, such as mobile or embedded devices. This paper presents a detailed study of the most apparent and widely-used cepstral and spectral features for multi-channel audio applications. Accordingly, we propose the use of spectro-temporal features. Additionally, the paper details the development of a compact version of the AlexNet model for computationally-limited platforms through studies of performances against various architectural and parameter modifications of the original network. The aim is to minimize the network size while maintaining the series network architecture and preserving the classification accuracy. Considering that other state-of-the-art compact networks present complex directed acyclic graphs, a series architecture proposes an advantage in customizability. Experimentation was carried out through Matlab, using a database that we have generated for this task, which composes of four-channel synthetic recordings of both sound events and scenes. The top performing methodology resulted in a weighted F1-score of 87.92% for scalogram features classified via the modified AlexNet-33 network, which has a size of 14.33 MB. The AlexNet network returned 86.24% at a size of 222.71 MB.

The Role of Visual and Auditory Communication in the Performance of a Joint Team Task

2021 ◽  
pp. 001872082110310
Author(s):  
Adam F. Werner ◽  
Jamie C. Gorman
Keyword(s):  
Spatial Ability ◽  
Visual Cues ◽  
Motor Task ◽  
Auditory Cues ◽  
Multiple Resource Theory ◽  
Coupling Mode ◽  
Multiple Resource ◽  
Auditory Cueing ◽  
Performance Trial

Objective This study examines visual, auditory, and the combination of both (bimodal) coupling modes in the performance of a two-person perceptual-motor task, in which one person provides the perceptual inputs and the other the motor inputs. Background Parking a plane or landing a helicopter on a mountain top requires one person to provide motor inputs while another person provides perceptual inputs. Perceptual inputs are communicated either visually, auditorily, or through both cues. Methods One participant drove a remote-controlled car around an obstacle and through a target, while another participant provided auditory, visual, or bimodal cues for steering and acceleration. Difficulty was manipulated using target size. Performance (trial time, path variability), cue rate, and spatial ability were measured. Results Visual coupling outperformed auditory coupling. Bimodal performance was best in the most difficult task condition but also high in the easiest condition. Cue rate predicted performance in all coupling modes. Drivers with lower spatial ability required a faster auditory cue rate, whereas drivers with higher ability performed best with a lower rate. Conclusion Visual cues result in better performance when only one coupling mode is available. As predicted by multiple resource theory, when both cues are available, performance depends more on auditory cueing. In particular, drivers must be able to transform auditory cues into spatial actions. Application Spotters should be trained to provide an appropriate cue rate to match the spatial ability of the driver or pilot. Auditory cues can enhance visual communication when the interpersonal task is visual with spatial outputs.

Sign in / Sign up

Export Citation Format

Share Document