scholarly journals Software Usability: Concepts, Attributes and Associated Health Problems

2016 ◽  
Vol 70 (5) ◽  
pp. 266-268 ◽  
Author(s):  
Sabīne Grīnberga
Keyword(s):  
Large Scale ◽  
Computer Systems ◽  
Health Problems ◽  
Large Set ◽  
User Centered Design ◽  
Technical Problems ◽  
Software Usability ◽  
Workstation Design ◽  
Computer Based ◽  
Usability Research

Abstract Digital technologies have opened a large set of opportunities for new electronic services (e-commerce, e-health, e-studies etc.). There are many considerations that need to be made when programmers are building new application software or system software. The software needs to be attractive enough that people want to look at it. It also needs to contain all necessary information that developers want to share with their readers (customers, users) in order to help them achieve the objective for which they came to their website, use their software, or interact with their teaching packages. The oversupply of e-services products has created a need for usability research and development. “Usability means making products and systems easier to use, and matching them more closely to user needs and requirements”. Usability is a key concept of the human-computer interface and is concerned with making computer systems easy to learn and easy to use through a user-centered design process. The in-depth understanding of usability concepts and processes are critical for large-scale acceptance of new e-services and knowledge productivity. Poorly designed software can be extremely annoying to users. Smith and Mayes state that „usability is now recognised as a vital determining factor in the success of any new computer system or computer-based service”. Studies have shown that the main health problems of computer users are repetitive strain injuries, visual discomfort and stress-related disorders. Beside other risk factors, such as poor workstation design, uncomfortable work postures, long hours of computer use every day, stress, etc., also poor design and usability of the computer systems, as well as computer technical problems, add to the pressure felt by the user, which may in turn cause stress-related disorders.

Protection of Data Privacy in Computer Systems

1986 ◽  
Vol 21 (1) ◽  
pp. 5-14
Author(s):  
Benjamin G. Walker
Keyword(s):  
Data Privacy ◽  
Computer Systems ◽  
Cost Effective ◽  
Diagnostic Information ◽  
Sensitive Data ◽  
Technical Problems ◽  
System Failures ◽  
Telephone Conversation ◽  
Computer Based ◽  
Maintenance Personnel

The protection of data in computer-based systems is a serious and growing problem. It is one of the most challenging technical problems in the field of computer science today. The objective of this paper is to provide a technical overview of the problem and to suggest some steps that need to be taken to assure progress in the field toward cost-effective systems that provide adequate protection.The Problem: Protecting the privacy of data in computer systems involves establishing safeguards against accidental disclosure as well as protection against a deliberate attack. During system failures and restart procedures errors in coding procedures often cause data to be stored in the wrong files or put sensitive data out on the printer along with diagnostic information intended for maintenance personnel. You have probably had the experience at some time of being wired into someone else's telephone conversation.

Lessons Learned from Integrating User-Centered Design into a Large-Scale Defense Procurement

2005 ◽  
Vol 49 (23) ◽  
pp. 2041-2044
Author(s):  
Christine C. Tate ◽  
Todd Estes ◽  
John Hagan ◽  
Larry Hettinger
Keyword(s):  
Large Scale ◽  
Lessons Learned ◽  
Design Stage ◽  
User Centered Design ◽  
Defense Procurement ◽  
The Us ◽  
Computer Based ◽  
Human Systems Integration ◽  
Surface Combatant ◽  
User Centered

The US Navy is currently implementing “optimal manning” approaches to the design of future warships. Simply put, this emphasis takes the form of designing and deploying ships whose blend of human and mechanical/computer-based systems reduces the need for traditionally large crews while improving overall system performance and safety. Reflecting this emphasis, a Future Surface Combatant program currently in the design stage is the first Navy procurement in which the principles of user-centered design (UCD) and human-systems integration (HSI) are key design drivers. The integration of UCD and HSI methods has never been attempted in a design effort of this magnitude, and has inevitably led to illuminating insights on the part of human factors, system engineering, and other disciplines engaged in the effort. This paper provides an overview of “lessons learned,” and is intended to assist the future integration of UCD and HSI principles into the design of similarly complex systems.

Adsorption Isotherm Predictions for Multiple Molecules in MOFs Using the Same Deep Learning Model

2019 ◽  
Author(s):  
Ryther Anderson ◽  
Achay Biong ◽  
Diego Gómez-Gualdrón
Keyword(s):  
Neural Network ◽  
Machine Learning ◽  
Molecular Simulation ◽  
Large Scale ◽  
Learning Model ◽  
Operating Conditions ◽  
Small Subset ◽  
Screening Methods ◽  
Large Set ◽  
Metal Organic

<div>Tailoring the structure and chemistry of metal-organic frameworks (MOFs) enables the manipulation of their adsorption properties to suit specific energy and environmental applications. As there are millions of possible MOFs (with tens of thousands already synthesized), molecular simulation, such as grand canonical Monte Carlo (GCMC), has frequently been used to rapidly evaluate the adsorption performance of a large set of MOFs. This allows subsequent experiments to focus only on a small subset of the most promising MOFs. In many instances, however, even molecular simulation becomes prohibitively time consuming, underscoring the need for alternative screening methods, such as machine learning, to precede molecular simulation efforts. In this study, as a proof of concept, we trained a neural network as the first example of a machine learning model capable of predicting full adsorption isotherms of different molecules not included in the training of the model. To achieve this, we trained our neural network only on alchemical species, represented only by their geometry and force field parameters, and used this neural network to predict the loadings of real adsorbates. We focused on predicting room temperature adsorption of small (one- and two-atom) molecules relevant to chemical separations. Namely, argon, krypton, xenon, methane, ethane, and nitrogen. However, we also observed surprisingly promising predictions for more complex molecules, whose properties are outside the range spanned by the alchemical adsorbates. Prediction accuracies suitable for large-scale screening were achieved using simple MOF (e.g. geometric properties and chemical moieties), and adsorbate (e.g. forcefield parameters and geometry) descriptors. Our results illustrate a new philosophy of training that opens the path towards development of machine learning models that can predict the adsorption loading of any new adsorbate at any new operating conditions in any new MOF.</div>

Managing User-Centered Design Activities in Distributed Agile Development

2021 ◽  
Author(s):  
Sultan Alyahya ◽  
Ohoud Almughram
Keyword(s):  
Participatory Design ◽  
Agile Development ◽  
Design Teams ◽  
User Centered Design ◽  
Management Tools ◽  
Daily Work ◽  
Development Teams ◽  
Design Activities ◽  
Computer Based ◽  
User Centered

Abstract The integration of user-centered design (UCD) activities into agile information systems development has become more popular recently. Despite the fact that there are many ways the merging of UCD activities into agile development can be carried out, it has been widely recognized that coordinating design activities with development activities is one of the most common problems, especially in distributed environments where designers, developers and users are spread over several sites. The main approach to coordinate UCD activities with distributed agile development is the use of informal methods (e.g. communication through using video conference tools). In addition to the temporal, geographical and socio-cultural barriers associated with this type of methods, a major limitation is a lack of awareness of how UCD activities and development activities affect each other. Furthermore, some agile project management tools are integrated with design platforms but fail to provide the necessary coordination that helps team members understand how the design and development activities affect their daily work. This research aims to support the effective management of integrating UCD activities into distributed agile development by (i) identifying the key activity dependencies between UX design teams and development teams during distributed UCD/agile development and (ii) designing a computer-based system to provide coordination support through managing these activity dependencies. In order to achieve these objectives, two case studies are carried out. Our findings revealed 10 main dependencies between UCD design teams and development teams as shown by six types of activity. In addition, the participatory design approach shows that developing a computer-based system to manage seven of these selected dependencies is achievable.

Synthetic Environments for Investigating Collaborative Information Seeking: An Application in Emergency Restoration of Critical Infrastructures

2015 ◽  
Vol 12 (3) ◽  
Author(s):  
David Mendonça ◽  
William A. Wallace ◽  
Barbara Cutler ◽  
James Brooks
Keyword(s):  
Information Seeking ◽  
Large Scale ◽  
Critical Infrastructure ◽  
Future Research ◽  
Critical Infrastructures ◽  
Close Collaboration ◽  
Number Of Factors ◽  
Computer Based ◽  
Collaborative Information Seeking ◽  
Post Disaster

AbstractLarge-scale disasters can produce profound disruptions in the fabric of interdependent critical infrastructure systems such as water, telecommunications and electric power. The work of post-disaster infrastructure restoration typically requires information sharing and close collaboration across these sectors; yet – due to a number of factors – the means to investigate decision making phenomena associated with these activities are limited. This paper motivates and describes the design and implementation of a computer-based synthetic environment for investigating collaborative information seeking in the performance of a (simulated) infrastructure restoration task. The main contributions of this work are twofold. First, it develops a set of theoretically grounded measures of collaborative information seeking processes and embeds them within a computer-based system. Second, it suggests how these data may be organized and modeled to yield insights into information seeking processes in the performance of a complex, collaborative task. The paper concludes with a discussion of implications of this work for practice and for future research.

TOTAL VOLUME OF MEDICAL CARE FOR CHILDREN BASED ON AN ANALYSIS OF EIGHT STATES

PEDIATRICS ◽  
1948 ◽  
Vol 1 (2) ◽  
pp. 227-236
Author(s):  
WARREN R. SISSON ◽  
KATHERINE BAIN ◽  
ROLLO H. BRITTEN ◽  
MARYLAND Y. PENNELL ◽  
JOHN P. HUBBARD
Keyword(s):  
Public Health ◽  
Health Service ◽  
Large Scale ◽  
Public Health Service ◽  
Health Problems ◽  
Federal Agencies ◽  
Child Health Services ◽  
Executive Staff ◽  
Intimate Knowledge ◽  
Statistical Studies

AN ASSIGNMENT has been given to me to present the first official results of the Study of Child Health Services, instituted by the Academy and executed by the Academy with the cooperation of the U. S. Public Health Service and the U. S. Children's Bureau. The paper which I am to read represents the results of work by you and compiled by your Executive Staff of the Study. One would like to conjecture how the future historian of the Academy will evaluate the transactions of this afternoon's session. Certainly this meeting marks a milestone in that it represents an awareness of public health problems, especially those of children, which have never before been so intimately studied. Furthermore, it is noteworthy because of the actual achievement of an investigation of a scope never previously paralleled by a group of physicians. Also the Study has revealed that, with common objectives, groups of physicians in private practice and those from the ranks of academic circles, along with personnel from established governmental bureaus, can work effectively together. It should be reiterated that the Study could not have been accomplished by us as a group of physicians alone nor by any existing governmental department. The two cooperating federal agencies, the U. S. Public Health Service and the U. S. Children's Bureau, have trained personnel with interest and experience in public health problems and in the conduct of large-scale statistical studies. The Academy, on its part, has first-hand experience in medical service and an intimate knowledge of those who are rendering service to children, and through its various members has been able to impart knowledge which otherwise would not have been available.

Technological revolution in Industrial Automation using PLC

2021 ◽  
pp. 514-519
Author(s):  
Dr. Kaushika Patel ◽  
Viraj Jogani ◽  
Prapti Bhajiyawala ◽  
Akshit Modi ◽  
Parul Panchal
Keyword(s):  
Supervisory Control ◽  
Large Scale ◽  
Programmable Logic ◽  
Basic Information ◽  
Control Room ◽  
Critical Function ◽  
Control Structures ◽  
Technological Revolution ◽  
Input And Output ◽  
Computer Based

In any industry having automation work have many devices which are interconnected through wires and making all of them work together and handling their features collectively is the work of PLC (Programmable logic Controller). They are most forwardly used as they are simplest forms of control structures that are now taking over the hard-wired Relays. PLCs which are computer-based controllers are the exceptional for handling systems, which requires excessive care and accuracy like small and medium scale industries for input and Output processes. Leaning a little in the direction the utilization of Automation in Industries will only give a beneficiary performance, flexibility, accuracy, least or null engagement of human interference. And for controlling and tracking of the large scale industries where PLCs are not enough, SCADA (Supervisory Control and Data Acquisition Systems) are used as they are more efficient, and can be handled without difficulty from the main control room/office which is remotely located at other place or at far area. One of critical function of PLC is that its input and output elements can be prolonged according to the requirement or motive. They are very easy to operate for those who are having even a basic Information.

Object-based image segmentation in photogrammetry for cartographic use

2021 ◽  
Author(s):  
Béla Kovács ◽  
Márton Pál ◽  
Fanni Vörös
Keyword(s):  
Land Cover ◽  
Large Scale ◽  
Autonomous Vehicle ◽  
Unsupervised Classification ◽  
Large Set ◽  
Bare Rock ◽  
Object Based ◽  
Social Fund ◽  
Elevation Data ◽  
Control Technologies

&lt;p&gt;The use of aerial photography in topography has started in the first decades of the 20&lt;sup&gt;th&lt;/sup&gt; century. Remote sensed data have become indispensable for cartographers and GIS staff when doing large-scale mapping: especially topographic, orienteering and thematic maps. The use of UAVs (unmanned aerial vehicles) for this purpose has also become widespread for some years. Various drones and sensors (RGB, multispectral and hyperspectral) with many specifications are used to capture and process the physical properties of an examined area. In parallel with the development of the hardware, new software solutions are emerging to visualize and analyse photogrammetric material: a large set of algorithms with different approaches are available for image processing.&lt;/p&gt;&lt;p&gt;Our study focuses on the large-scale topographic mapping of vegetation and land cover. Most traditional analogue and digital maps use these layers either for background or highlighted thematic purposes. We propose to use the theory of OBIA &amp;#8211; Object-based Image Analysis to differentiate cover types. This method involves pixels to be grouped into larger polygon units based on either spectral or other variables (e.g. elevation, aspect, curvature in case of DEMs). The neighbours of initial seed points are examined whether they should be added to the region according to the similarity of their attributes. Using OBIA, different land cover types (trees, grass, soils, bare rock surfaces) can be distinguished either with supervised or unsupervised classification &amp;#8211; depending on the purposes of the analyst. Our base data were high-resolution RGB and multispectral images (with 5 bands).&lt;/p&gt;&lt;p&gt;Following this methodology, not only elevation data (e.g. shaded relief or vector contour lines) can be derived from UAV imagery but vector land cover data are available for cartographers and GIS analysts. As the number of distinct land cover groups is free to choose, even quite complex thematic layers can be produced. These layers can serve as subjects of further analyses or for cartographic visualization.&lt;/p&gt;&lt;p&gt;&amp;#160;&lt;/p&gt;&lt;p&gt;BK is supported by Application Domain Specific Highly Reliable IT Solutions&amp;#8221; project &amp;#160;has been implemented with the support provided from the National Research, Development and Innovation Fund of Hungary, financed under the Thematic Excellence Programme TKP2020-NKA-06 (National Challenges Subprogramme) funding scheme.&lt;/p&gt;&lt;p&gt;MP and FV are supported by EFOP-3.6.3-VEKOP-16-2017-00001: Talent Management in Autonomous Vehicle Control Technologies &amp;#8211; The Project is financed by the Hungarian Government and co-financed by the European Social Fund.&lt;/p&gt;

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