scholarly journals Investigating Human-Machine Interfaces’ Efficiency in Industrial Machinery and Equipment: A Kenyan Context

2021 ◽  
Vol 11 (4) ◽  
pp. 1-8
Author(s):  
Silas M. Nzuva
Keyword(s):  
User Interfaces ◽  
Working Environment ◽  
First Century ◽  
Physical Systems ◽  
Human Machine Interfaces ◽  
Hands On ◽  
Machine Operators ◽  
Operation Control ◽  
Workforce Productivity ◽  
Industrial Machine

The twenty-first century has seen a vast technological revolution characterized by the development of cyber-physical systems, integration of things, and new and computationally improved machines and systems. However, there have been seemingly little strides in the development of user interfaces, specifically for industrial machines and equipment. The aim of this study was to assess the efficiency of the human-machine interfaces in the Kenyan context in providing a consistent and reliable working environment for industrial machine operators. The researcher employed a convenient purposive sampling to select 15 participants who had at least two years of hands-on experience in machines operation, control, or instrumentation. The results of the study are herein presented, including the recommendations to enhance workforce productivity and efficiency.

scholarly journals Review of Design Elements within Power Infrastructure Cyber–Physical Test Beds as Threat Analysis Environments

Energies ◽  
2021 ◽  
Vol 14 (5) ◽  
pp. 1409
Author(s):  
Bjorn Vaagensmith ◽  
Vivek Kumar Singh ◽  
Robert Ivans ◽  
Daniel L. Marino ◽  
Chathurika S. Wickramasinghe ◽  
...  
Keyword(s):  
User Interfaces ◽  
Fault Injection ◽  
Modern Society ◽  
Physical Test ◽  
Design Elements ◽  
Physical Systems ◽  
Threat Analysis ◽  
Model Based Testing ◽  
Potential Applications ◽  
Performance Validation

Cyber–physical systems (CPSs) are an integral part of modern society; thus, enhancing these systems’ reliability and resilience is paramount. Cyber–physical testbeds (CPTs) are a safe way to test and explore the interplay between the cyber and physical domains and to cost-effectively enhance the reliability and resilience of CPSs. Here a review of CPT elements, broken down into physical components (simulators, emulators, and physical hardware), soft components (communication protocols, network timing protocols), and user interfaces (visualization-dashboard design considerations) is presented. Various methods used to validate CPS performance are reviewed and evaluated for potential applications in CPT performance validation. Last, initial simulated results for a CPT design, based on the IEEE 33 bus system, are presented, along with a brief discussion on how model-based testing and fault–injection-based testing (using scaling and ramp-type attacks) may be used to help validate CPT performance.

Intelligent Fault Recognition and Diagnosis for Rotating Machines using Neural Networks

2013 ◽  
pp. 158-172 ◽  
Author(s):  
Cyprian F. Ngolah ◽  
Ed Morden ◽  
Yingxu Wang
Keyword(s):  
Machine Condition ◽  
Vibration Signals ◽  
Rotating Machine ◽  
Fault Recognition ◽  
Machine Operators ◽  
System Vibration ◽  
Machine Health ◽  
Condition Based Monitoring ◽  
Industrial Machine ◽  
Previous Training

Monitoring industrial machine health in real-time is not only in high demand, it is also complicated and difficult. Possible reasons for this include: (a) access to the machines on site is sometimes impracticable, and (b) the environment in which they operate is usually not human-friendly due to pollution, noise, hazardous wastes, etc. Despite theoretically sound findings on developing intelligent solutions for machine condition-based monitoring, few commercial tools exist in the market that can be readily used. This paper examines the development of an intelligent fault recognition and monitoring system (Melvin I), which detects and diagnoses rotating machine conditions according to changes in fault frequency indicators. The signals and data are remotely collected from designated sections of machines via data acquisition cards. They are processed by a signal processor to extract characteristic vibration signals of ten key performance indicators (KPIs). A 3-layer neural network is designed to recognize and classify faults based on a pre-determined set of KPIs. The system implemented in the laboratory and applied in the field can also incorporate new experiences into the knowledge base without overwriting previous training. Results show that Melvin I is a smart tool for both system vibration analysts and industrial machine operators.

Building an Innovative and Entrepreneurial Dimension in an Institution of Higher Education

2020 ◽  
Vol 7 (2) ◽  
pp. 200-214
Author(s):  
Ron Corso
Keyword(s):  
Higher Education ◽  
Teaching And Learning ◽  
Working Environment ◽  
First Century ◽  
Disruptive Effect ◽  
Institutions Of Higher Education ◽  
End User ◽  
New Research ◽  
The University

Institutions of higher education in the twenty-first century are undergoing a transformation locally and globally from traditional pillars of learning to being more entrepreneurial in their core business. There is increasing pressure on universities to becoming more flexible and adaptable as organizations and in the graduate attributes, they imbed in their students. There is a need to build deeper links with business, to both maximize innovation and promote growth, to ensure students are equipped to excel in the workforce. This change is having a disruptive effect on the role of universities, from classical research institutions to entrepreneurial universities mimicking more of the modern workplace working environment, requiring autonomy in their decision-making and in the way new research is developed, implemented and transferred in the relationships formed within their respective regions. This article outlines work in progress on the University of South Australia’s attempts to rebrand itself as a University of Innovation and Enterprise (Australia’s University of Enterprise) in both its end-user inspired research outcomes and industry-informed teaching and learning.

A study on operation control of urban centralized heating system based on cyber-physical systems

Energy ◽  
2020 ◽  
Vol 191 ◽  
pp. 116569
Author(s):  
Xiaojie Lin ◽  
Sibin Liu ◽  
Shuowei Lu ◽  
Zhongbo Li ◽  
Yi Zhou ◽  
...  
Keyword(s):  
Heating System ◽  
Cyber Physical Systems ◽  
Physical Systems ◽  
Operation Control

Trends and challenges of the human-machine interfaces naturality development

2020 ◽  
pp. 84-95
Author(s):  
K.N. Zhernova
Keyword(s):  
Human Computer Interaction ◽  
User Interfaces ◽  
Human Machine Interfaces ◽  
Computer Interaction

The paper contains the overview of various types of user interfaces, problems that arise during their development and usage, as well as possible solutions to manage these problems. In addition, the authors analyzed the increase in the naturalness of human-computer interaction in new user interfaces. Possible prospects for the development of such interfaces in order to increase the naturalness of human-computer interaction are also investigated.

A Case Study of a Blended Doctoral Program in Educational Technology

2011 ◽  
pp. 173-189 ◽  
Author(s):  
Michele Jacobsen
Keyword(s):  
Educational Technology ◽  
Doctoral Students ◽  
Virtual Worlds ◽  
Course Design ◽  
Doctoral Program ◽  
First Century ◽  
Face To Face ◽  
Hands On ◽  
Face To Face Learning

Educational technology is a hands-on, minds-on discipline that emphasizes knowing and doing. In this field, doctoral education needs to reflect digital and communication realities in the twenty-first century. In this case study, a blended learning approach to graduate education in educational technology is explored from the perspective of the author’s own classroom. The course design and blended delivery of an Advanced Concepts in Educational Technology seminar is described in detail. Active learning opportunities, using wikis, blogs, avatars and virtual worlds, learning managements systems, email, and face-to-face learning experiences engaged doctoral students in the collaborative investigation and critique of educational technology trends and research ideas. Doctoral students investigated their emerging digital lives as scholars and developed a personal cyberinfrastructure that they can continue to build, modify, and extend throughout their educational technology careers.

Antipasti

2019 ◽  
pp. 108-130
Keyword(s):  
Process Modeling ◽  
Design Thinking ◽  
Enterprise Modeling ◽  
Working Environment ◽  
Organizational Models ◽  
Modeling Framework ◽  
Business Environments ◽  
Hands On ◽  
Agile Enterprise ◽  
Tools And Techniques

Nowadays megatrend of Industry 4.0 initiative in complex and dynamic business environments require easy and hands-on methods for enterprise modelling that will be able to recalibrate process's models constantly. Processes are often declared as being “modeled” or “documented” but seldom as being “designed.” This leads to certain afflictions in allocation of the particular resources required for the tasks of process modeling or design. There is perception of process modeling as a routine task, which is structured itself by “modeling terms and conditions” or “modeling agreement,” while “design thinking” is mainly considered as much more less structured and belonging to the artist's nature. Implementation of such models in practice or IT automation does not fit the reality because of misinterpretation from the start of modeling and multiplied on each step of model transformation. In such circumstances any thought about fruitful digitalization looks very abused. This chapter describes a set of tools and techniques for enriching organizational models with semantic information and adjusting them on request. Firstly, this chapter considers an innovative approach for the model binding with relevant documents and experts. Secondly, factors that trigger models' changes using company's information environment (field) are defined. Thirdly, an agile enterprise-modeling framework that automatically adapts to the business situation, creating context-aware working environment for employees, is introduced.

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