scholarly journals Development of a Web-Based Complaint Management Platform for a University Community

2021 ◽  
Vol 14 (1) ◽  
pp. 150-159
Author(s):  
Victoria Oguntosin ◽  
Mejabi Oluwadurotimi ◽  
Anthony Adoghe ◽  
Ademola Abdulkareem ◽  
Gideon Adeyemi
2016 ◽  
Vol 16 (3) ◽  
pp. 643-661 ◽  
Author(s):  
Kostas Kalabokidis ◽  
Alan Ager ◽  
Mark Finney ◽  
Nikos Athanasis ◽  
Palaiologos Palaiologou ◽  
...  

Abstract. We describe a Web-GIS wildfire prevention and management platform (AEGIS) developed as an integrated and easy-to-use decision support tool to manage wildland fire hazards in Greece (http://aegis.aegean.gr). The AEGIS platform assists with early fire warning, fire planning, fire control and coordination of firefighting forces by providing online access to information that is essential for wildfire management. The system uses a number of spatial and non-spatial data sources to support key system functionalities. Land use/land cover maps were produced by combining field inventory data with high-resolution multispectral satellite images (RapidEye). These data support wildfire simulation tools that allow the users to examine potential fire behavior and hazard with the Minimum Travel Time fire spread algorithm. End-users provide a minimum number of inputs such as fire duration, ignition point and weather information to conduct a fire simulation. AEGIS offers three types of simulations, i.e., single-fire propagation, point-scale calculation of potential fire behavior, and burn probability analysis, similar to the FlamMap fire behavior modeling software. Artificial neural networks (ANNs) were utilized for wildfire ignition risk assessment based on various parameters, training methods, activation functions, pre-processing methods and network structures. The combination of ANNs and expected burned area maps are used to generate integrated output map of fire hazard prediction. The system also incorporates weather information obtained from remote automatic weather stations and weather forecast maps. The system and associated computation algorithms leverage parallel processing techniques (i.e., High Performance Computing and Cloud Computing) that ensure computational power required for real-time application. All AEGIS functionalities are accessible to authorized end-users through a web-based graphical user interface. An innovative smartphone application, AEGIS App, also provides mobile access to the web-based version of the system.


Thorax ◽  
2017 ◽  
Vol 73 (3) ◽  
pp. 231-239 ◽  
Author(s):  
Matthias Griese ◽  
Elias Seidl ◽  
Meike Hengst ◽  
Simone Reu ◽  
Hans Rock ◽  
...  

BackgroundChildren’s interstitial lung diseases (chILD) cover many rare entities, frequently not diagnosed or studied in detail. There is a great need for specialised advice and for internationally agreed subclassification of entities collected in a register.Our objective was to implement an international management platform with independent multidisciplinary review of cases at presentation for long-term follow-up and to test if this would allow for more accurate diagnosis. Also, quality and reproducibility of a diagnostic subclassification system were assessed using a collection of 25 complex chILD cases.MethodsA web-based chILD management platform with a registry and biobank was successfully designed and implemented.ResultsOver a 3-year period, 575 patients were included for observation spanning a wide spectrum of chILD. In 346 patients, multidisciplinary reviews were completed by teams at five international sites (Munich 51%, London 12%, Hannover 31%, Ankara 1% and Paris 5%). In 13%, the diagnosis reached by the referring team was not confirmed by peer review. Among these, the diagnosis initially given was wrong (27%), imprecise (50%) or significant information was added (23%).The ability of nine expert clinicians to subcategorise the final diagnosis into the chILD-EU register classification had an overall exact inter-rater agreement of 59% on first assessment and after training, 64%. Only 10% of the ‘wrong’ answers resulted in allocation to an incorrect category. Subcategorisation proved useful but training is needed for optimal implementation.ConclusionsWe have shown that chILD-EU has generated a platform to help the clinical assessment of chILD.Trial registration numberResults, NCT02852928.


2018 ◽  
Vol 8 (11) ◽  
pp. 2278 ◽  
Author(s):  
Martin Schvarcbacher ◽  
Katarína Hrabovská ◽  
Bruno Rossi ◽  
Tomáš Pitner

The Smart Grid (SG) is nowadays an essential part of modern society, providing two-way energy flow and smart services between providers and customers. The main drawback is the SG complexity, with an SG composed of multiple layers, with devices and components that have to communicate, integrate, and cooperate as a unified system. Such complexity brings challenges for ensuring proper reliability, resilience, availability, integration, and security of the overall infrastructure. In this paper, we introduce a new smart grid testing management platform (herein called SGTMP) for executing real-time hardware-in-the-loop SG tests and experiments that can simplify the testing process in the context of interconnected SG devices. We discuss the context of usage, the system architecture, the interactive web-based interface, the provided API, and the integration with co-simulations frameworks to provide virtualized environments for testing. Furthermore, we present one main scenario about the stress-testing of SG devices that can showcase the applicability of the platform.


2020 ◽  
Author(s):  
Emily G Lattie ◽  
Michael Bass ◽  
Sofia F Garcia ◽  
Siobhan M Phillips ◽  
Patricia I Moreno ◽  
...  

BACKGROUND Unmanaged cancer symptoms and treatment-related side effects can compromise long-term clinical outcomes and health-related quality of life. Health information technologies such as web-based platforms offer the possibility to supplement existing care and optimize symptom management. OBJECTIVE This paper describes the development and usability of a web-based symptom management platform for cancer patients and survivors that will be implemented within a large health system. METHODS A web-based symptom management platform was designed and evaluated via one-on-one usability testing sessions. The System Usability Scale (SUS), After Scenario Questionnaire (ASQ), and qualitative analysis of semistructured interviews were used to assess program usability. RESULTS Ten cancer survivors and five cancer center staff members participated in usability testing sessions. The mean score on the SUS was 86.6 (SD 14.0), indicating above average usability. The mean score on the ASQ was 2.5 (SD 2.1), indicating relatively high satisfaction with the usability of the program. Qualitative analyses identified valued features of the program and recommendations for further improvements. CONCLUSIONS Cancer survivors and oncology care providers reported high levels of acceptability and usability in the initial development of a web-based symptom management platform for cancer survivors. Future work will test the effectiveness of this web-based platform.


Author(s):  
Maurizio Agelli ◽  
Maria Laura Clemente ◽  
Mauro Del Rio ◽  
Daniela Ghironi ◽  
Orlando Murru ◽  
...  

Author(s):  
Irma Becerra-Fernandez ◽  
Matha Del Alto ◽  
Helen Stewart

Today, organizations rely on decision makers to make mission-critical decisions that are based on input from multiple domains. The ideal decision maker has a profound understanding of specific domains coupled with the experience that allows him or her to act quickly and decisively on the information. Daily, decision makers face problems and failures that are too difficult for any individual person to solve; therefore, teams are now required who share their knowledge in spontaneous collaborations. Since requisite expertise may not all reside in the same organization, nor be geographically colocated, virtual networked teams are needed. This chapter presents a case study describing the development and use of Postdoc, the first Web-based collaborative and knowledge management platform deployed at NASA.


2013 ◽  
Vol 2 (3) ◽  
pp. 16-29 ◽  
Author(s):  
Hugo Peixoto ◽  
António Abelha ◽  
Manuel Santos ◽  
José Machado

Preventive actions management plays a crucial role in clinical applications, not only for those who depend on data to make decisions, but also for those who monitor the operational and financial impact of the systems. This paper presents an open-source platform, named ScheduleIT, capable of managing preventive routines. The platform is based on an estimation model that determines the optimal time interval for interventions, according to the criticality of the system and the number of non-programmed faults, among others. ScheduleIT has a web-based interface available to a different area end-user, ranging from IT technicians to administrative staff. At this point, the platform covers around 75% of the healthcare systems and it is fully accepted by its main users as a reliable and effective preventive tool.


Author(s):  
Hao-Yun Huang ◽  
Qize Le ◽  
Jitesh H. Panchal

Open-source processes are based on the paradigm of self-organized communities as opposed to the traditional hierarchical teams. These processes have not only been successful in the software development domain but are also increasingly being used in the development of physical products. In order to successfully adapt open-source processes to product realization, there is a need to understand how open-source communities self-organize and how this impacts the development of products. Toward the direction of fulfilling this need, we present an analysis of an existing open-source community involved in developing a web-based content-management platform, Drupal. The approach is based on the analysis of networks using techniques such as social network analysis, degree distribution, and hierarchical clustering. Openly available information on the Drupal website is utilized to perform the analysis of the community. The data are transformed into two weighted undirected networks: networks of people and networks of Drupal modules. Both the structures of these networks and their evolution during the past 6 years are studied. Based on the analysis, it is observed that the structure of the Drupal community has the characteristics of a scale-free network, which is similar to many other complex networks in diverse domains. Key trends in the evolution of the networks are identified. Finally, a predictive model is presented to provide potential explanations for the observed structures and evolutionary trends.


2011 ◽  
Vol 55-57 ◽  
pp. 26-30
Author(s):  
Yong Ming Wang ◽  
Fei Han ◽  
Jin Zhong Yu

Along with the rapid development of network information technology, e-commerce is playing an important role, and it is urgent for small and medium-sized enterprises to participate in enterprise dynamic alliance. By using ASP.NET technology, this paper developed a web-based partner alliance management platform, and introduced its architecture and main functional modules. Some key technologies of this platform were discussed, including platform role description and use case analysis, partner evaluation and selection method, network security techniques of this platform and so on. Finally, an applied case of partner alliance management platform is given, which is beneficial to attract small and medium-sized enterprises to take part in enterprise dynamic alliance, thus can realize sharing and integration of resources information among them and improve their competitiveness.


2011 ◽  
Vol 219-220 ◽  
pp. 701-704
Author(s):  
Lin Zhu ◽  
Jia Shan Li

This paper presents an innovative application of a management platform based on network environment for the trade information. The platform is an application on the web-based designed to service human resource in cultural trade, and economic entities, &. The system is based on modern pedagogy, and theory and method of combining advanced internet technology by priding students’ information on seeking job, in the same time, it will provide the information of authoritative data for the real economic unit to access to meet the needs of people resume through the online platform.


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