Journal articles: 'Online crisis simulation platform'

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Martín-de-Vidales, María José, Jose Antonio Díaz-López, Verónica Blanco, Antonio Juan Dos-Santos-García, Antonio Nieto-Márquez, David García, and Evangelina Antanes-Sánchez. "Nuevas metodologías docentes en tiempos de COVID 19 = New teaching methodologies in times of COVID 19." Advances in Building Education 5, no. 3 (December 31, 2021): 74. http://dx.doi.org/10.20868/abe.2021.3.4737.

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La insólita situación derivada de la crisis COVID-19, ha obligado a docentes y alumnos a reinventarse, utilizando nuevos métodos de enseñanza y aplicando tecnologías en línea que permitan un aprendizaje a distancia eficiente. Como consecuencia, en la asignatura práctica Experimentación en Ingeniería Química II, del Grado en Ingeniería Química, las explicaciones teóricas necesarias para llevar a cabo la experimentación, se han realizado de forma online y sincrónica mediante la plataforma Microsoft Teams, como paso previo a la asistencia al laboratorio. Las sesiones se grabaron y se pusieron a disposición de los alumnos para su consulta. Así, se minimizó el contacto físico entre alumno y profesor y entre alumnos.Por otro lado, en la asignatura Regulación de Procesos Químicos, se ha modificado la evaluación de las prácticas de simulación y, en lugar de pedir a los alumnos informes extensos, se les solicitó completar un cuestionario en Moodle.AbstractThe unusual situation derived from the COVID-19 crisis has forced teachers and students to reinvent themselves, using new teaching methods and applying online technologies that allow an efficient distance learning. As a consequence, in the practical subject Experimentation in Chemical Engineering II, of the Degree in Chemical Engineering, the theoretical explanations necessary to carry out the experimentation have been carried out online and synchronously through the Microsoft Teams platform, as a prior step to attendance to the laboratory. The sessions were recorded and made available to the students for their consultation. Thus, physical contact between student and teacher and between students was minimized.On the other hand, in the subject Regulation of Chemical Processes, the evaluation of simulation practices has been modified and, instead of asking students for extensive reports, they were asked to complete a questionnaire in Moodle.

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Liu, Jiaqi, and Jiayin Qi. "Online Public Rumor Engagement Model and Intervention Strategy in Major Public Health Emergencies: From the Perspective of Social Psychological Stress." International Journal of Environmental Research and Public Health 19, no. 4 (February 10, 2022): 1988. http://dx.doi.org/10.3390/ijerph19041988.

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During major public health emergencies, a series of coupling problems of rumors getting out of control and public psychological imbalance always emerge in social media, which bring great interference for crisis disposal. From the perspective of social psychological stress, it is important to depict the interactive infection law among distinct types of rumor engagers (i.e., advocates, supporters, and amplifiers) under different social psychological stress states, and explore the effectiveness of rumor intervention strategies (i.e., hindering and persuasion) from multiple dimensions, to scientifically predict the situation of public opinion field and guide the public to restore psychological stability. Therefore, this paper constructs an interactive infection model of multiple rumor engagers under different intervention situations based on a unique user-aggregated dataset collected from a Chinese leading online microblogging platform (“Sina Weibo”) during the COVID-19 in 2020. The simulation result shows that (1) in the period of social psychological alarm reaction, the strong level of hindering intervention on the rumor engagers leads to more serious negative consequences; (2) in the period of social psychological resistance, the persuasion and hindering strategies can both produce good outcomes, which can effectively reduce the overall scale of rumor supporters and amplifiers and shorten their survival time in social media; (3) in the period of social psychological exhaustion, rumor intervention strategies are not able to have a significant impact; (4) the greater the intensity of intervention, the more obvious the outcome. Experimental findings provide a solid research basis for enhancing social psychological stress outcomes and offer decision-making references to formulate the rumor combating scheme.

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Ilieva, Galina, Tania Yankova, Stanislava Klisarova, and Yulia Dzhabarova. "Customer Satisfaction in e-Commerce during the COVID-19 Pandemic." Systems 10, no. 6 (November 10, 2022): 213. http://dx.doi.org/10.3390/systems10060213.

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The declared state of emergency and the measures taken against the spread of coronavirus by governments have increased Internet shopping. All companies, regardless of size and type of business activity, had to adapt their business models to the new circumstances through transformation of their business processes and offering products or services tailored to the changing customer behavior. This study aims to analyze the peculiarities of online sales during the COVID-19 health crisis via the integration of classic and modern data analysis methods. The purpose of the paper is to identify the main factors determining user behavior and examine their impact on customer satisfaction in e-commerce. The survey method and structural equation modeling (SEM) were used to recognize the dependencies between variables from the online users’ perspective. The satisfaction determinants indicated and described in the paper affect differently the perceived value for the customers. As this value is subjective and dynamic, this study developed a reliable system for e-commerce factor evaluation. Using the proposed methodology, companies can constantly monitor and assess indicators influencing customer satisfaction and gain awareness of consumer behavior’s dynamics in online shopping. e-commerce marketers can employ the obtained results to decide how to organize order execution and optimize supply chains. Identifying the most important components of the e-commerce value, managers of online retailers can better run online sales platforms, increase customer loyalty, and thus, improve company’s online performance.

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Alsheikh, Haifa A., Abdullah M. Zahlan, Fawziah AlMana, Razan Almutairi, Hawazen Alqahtani, M. Adnan Al Doumani, Esam A. AlBawardi, Khaled Alkattan, and Naif H. Alotaibi. "Teaching Undergraduate Otolaryngology During the COVID-19 Pandemic: A Cross-Sectional Questionnaire Study." Innovations in Surgery and Interventional Medicine 2, no. 2022 (January 1, 2022): 17–24. http://dx.doi.org/10.36401/isim-21-04.

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ABSTRACT Introduction Live teaching via online platforms during the COVID-19 pandemic has proved to be an innovative solution during the crisis, yet limitations were still observed. Teaching challenges during the pandemic must be accurately studied to come up with evidence-based solutions. We aimed to assess the effectiveness of virtual or online teaching in delivering educational objectives to otorhinolaryngology, head and neck surgery (ORL-HNS) clerkship students (undergraduate medical students) during the COVID-19 pandemic. Methods This was a cross-sectional questionnaire study with a survey designed to evaluate undergraduate medical students' responses toward online ORL-HNS classes. The same set of questions was sent to two different groups who were in ORL-HNS clerkship rotation under different quarantine restrictions levels during the pandemic. Results In total, 95 responses were analyzed; 32 responses were collected from the first group of students who were in the clinical rotation exclusively through online means under strict lockdown measurements. The remaining 63 responses were from the second group of students who were in the rotation after modifications to the COVID-19 lockdown protocols; the modifications allowed more in-person meetings under social distancing measures. The overall feedback about the scientific benefit of the ORL-HNS clerkship course was positive, with the majority of students agreeing that they felt prepared for future examinations, but not as much for clinical practice. In addition, students reported that lab skills sessions held after quarantine protocol modifications helped enhance their knowledge and better prepare them for future clinical practice and exams. Conclusion Online teaching technologies might be able to compete with conventional teaching methods, but further improvements must take place to close the gaps between traditional and online classrooms. We believe advanced methods and simulation techniques can be implemented to aid in teaching complex topics in medicine, especially in otorhinolaryngology.

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Wang, Yao. "Financial Early Warning Model for Listed Companies Based on the Smart Sensor Data Network." Journal of Sensors 2022 (September 5, 2022): 1–13. http://dx.doi.org/10.1155/2022/7666354.

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This paper uses intelligent sensors to build a data network, collects information about listed enterprises in all aspects, performs frequency statistics and semantic analysis based on the financial domain lexicon on information related to listed enterprises, and introduces big data variables into a nonlinear support vector machine early warning model of enterprises combined with financial indicators. This paper introduces online reviews as big data indicators based on financial early warning theories and methods. Suitable financial indicators and big data indicators are selected for the financial early warning model to filter the available indicators. The prediction results of only financial indicators are compared with the prediction results of incorporating big data indicators. Quantify the comment information related to enterprises on the platform through sentiment classification and statistics on the number of comment information posted. The cost-sensitive support vector machine is used as the base classifier of the improved AdaBoost algorithm to build a dynamic imbalance warning model. To address the problems of large complexity and computation of unbalanced big data classification, high reliance on a priori knowledge, and classification performance to be improved, the classification and detection method of the intelligent sensor data network is proposed. By introducing migration learning, the problem of knowledge acquisition and training efficiency of high-dimensional complex data feature extraction in a big data environment is effectively solved, and the network performance is optimized by a conjugate gradient descent algorithm. Through simulation experiments, the prediction accuracy of the model for positive class samples is significantly improved after the nonequilibrium processing, the recall rate of the network model reaches 84.15%, and the prediction accuracy of the network model under different time steps reaches more than 90%. The experiment proves that the model can send out financial alert information more quickly and efficiently and accurately when a financial crisis may occur, relative to the traditional financial forecasting methods.

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Han, Lu, Xiaohong Jiao, and Zhao Zhang. "Recurrent Neural Network-Based Adaptive Energy Management Control Strategy of Plug-In Hybrid Electric Vehicles Considering Battery Aging." Energies 13, no. 1 (January 1, 2020): 202. http://dx.doi.org/10.3390/en13010202.

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A hybrid electric vehicle (HEV) is a product that can greatly alleviate problems related to the energy crisis and environmental pollution. However, replacing such a battery will increase the cost of usage before the end of the life of a HEV. Thus, research on the multi-objective energy management control problem, which aims to not only minimize the gasoline consumption and consumed electricity but also prolong battery life, is necessary and challenging for HEV. This paper presents an adaptive equivalent consumption minimization strategy based on a recurrent neural network (RNN-A-ECMS) to solve the multi-objective optimal control problem for a plug-in HEV (PHEV). The two objectives of energy consumption and battery loss are balanced in the cost function by a weighting factor that changes in real time with the operating mode and current state of the vehicle. The near-global optimality of the energy management control is guaranteed by the equivalent factor (EF) in the designed A-ECMS. As the determined EF is dependent on the optimal co-state of the Pontryagin’s minimum principle (PMP), which results in the online ECMS being regarded as a realization of PMP-based global optimization during the whole driving cycle. The time-varying weight factor and the co-state of the PMP are map tables on the state of charge (SOC) of the battery and power demand, which are established offline by the particle swarm optimization (PSO) algorithm and real historical traffic data. In addition to the mappings of the weight factor and the major component of the EF linked to the optimal co-state of the PMP, the real-time performance of the energy management control is also guaranteed by the tuning component of the EF of A-ECMS resulting from the Proportional plus Integral (PI) control on the deviation between the battery SOC and the optimal trajectory of the SOC obtained by the Recurrent Neural Network (RNN). The RNN is trained offline by the SOC trajectory optimized by dynamic programming (DP) utilizing the historical traffic data. Finally, the effectiveness and the adaptability of the proposed RNN-A-ECMS are demonstrated on the test platform of plug-in hybrid electric vehicles based on GT-SUITE (a professional integrated simulation platform for engine/vehicle systems developed by Gamma Technologies of US company) compared with the existing strategy.

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Yamazaki, Tadashi, Hidetoshi Ikeno, Yoshihiro Okumura, Shunji Satoh, Yoshimi Kamiyama, Yutaka Hirata, Keiichiro Inagaki, Akito Ishihara, Takayuki Kannon, and Shiro Usui. "Simulation Platform: A cloud-based online simulation environment." Neural Networks 24, no. 7 (September 2011): 693–98. http://dx.doi.org/10.1016/j.neunet.2011.06.010.

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Yamazaki, Tadashi, Hidetoshi Ikeno, Yoshihiro Okumura, Shunji Satoh, Yoshimi Kamiyama, Yutaka Hirata, Keiichiro Inagaki, Akito Ishihara, Takayuki Kannon, and Shiro Usui. "Reprint of: Simulation Platform: A cloud-based online simulation environment." Neural Networks 24, no. 9 (November 2011): 927–32. http://dx.doi.org/10.1016/j.neunet.2011.08.007.

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Zhou, Qing, Qingqing Zhang, Xiao Luo, and Xuan Cai. "Agent-Based Simulation for Online Shopping Platform Rules." Journal of Applied Sciences 13, no. 14 (July 1, 2013): 2801–6. http://dx.doi.org/10.3923/jas.2013.2801.2806.

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Zhang, Xiaoyan, and Longyang Huang. "Exploration of building online control simulation training platform." Journal of Physics: Conference Series 1650 (October 2020): 032189. http://dx.doi.org/10.1088/1742-6596/1650/3/032189.

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Kozak, Marcin. "Online platform supporting teaching correlation." Model Assisted Statistics and Applications 6, no. 1 (March 14, 2011): 71–74. http://dx.doi.org/10.3233/mas-2011-0160.

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Sakas, Damianos P., Nikolaos T. Giannakopoulos, Marina C. Terzi, Ioannis Dimitrios G. Kamperos, Dimitrios K. Nasiopoulos, Dimitrios P. Reklitis, and Nikos Kanellos. "Social Media Strategy Processes for Centralized Payment Network Firms after a War Crisis Outset." Processes 10, no. 10 (October 2, 2022): 1995. http://dx.doi.org/10.3390/pr10101995.

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From the outset of the war in Ukraine, extensive crises in many sectors of the world economy have occurred, with firms offering services and products both online and through physical stores facing serious problems. These problems are mainly related to higher operational costs and the lack of website visibility. For this research study, centralized payment network organizations (CPNs), firms providing online payment services through their networks, were selected and analytical data from their websites were collected for a period of 6 months. The main focus of this research study is to evaluate benefits and the role of social media strategies for CPNs’ digital marketing performance during crisis events and to also assess their utility as a risk-management tool. Following data collection, the authors performed statistical processes (regression and correlation analysis) and stationary modeling with Fuzzy Cognitive Mapping (FCM) tools; finally, dynamic simulations were performed by utilizing Agent-Based Models (ABM). The authors suggest that various variables of CPNs’ social media platforms can aid in improving their digital marketing performance and, using proper analysis, can lead to higher user social engagement, thus rendering social media strategy a useful risk-management tool.

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Prins, Annelot. "Live-archiving the crisis: Instagram, cultural studies and times of collapse." European Journal of Cultural Studies 23, no. 6 (August 6, 2020): 1046–53. http://dx.doi.org/10.1177/1367549420944519.

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As COVID-19 hit the world, social media formed an immediate online archive of the crisis that enfolded. This essay examines how this moment of collapse intersects with Instagram as a platform specifically. How do we exist on a platform built up around notions of aspiration and happiness while being in crisis? And what can cultural studies scholars add to such a platform in these times?

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Pang, Sulin, Chao Deng, and Susong Chen. "System Dynamics Models of Online Lending Platform Based on Vensim Simulation Technology and Analysis of Interest Rate Evolution Trend." Computational Intelligence and Neuroscience 2022 (August 9, 2022): 1–21. http://dx.doi.org/10.1155/2022/9776138.

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This paper mainly focuses on the construction of a system dynamics model of an online lending platform and the application of Vensim simulation technology in the analysis of the evolution trend of the investment interest rate. The system dynamics flow graph models of the investment subsystem, loan subsystem, and interest rate subsystem of the online lending platform were innovatively constructed; the level variable, flow rate variable, auxiliary variable, and mathematical relations between these variables as they relate to the platform were innovatively studied. Based on the key variables of the online lending platform, a system dynamics model of the online lending platform was innovatively constructed. The parameters were assigned using data from China’s online lending industry, and the logical consistency, sensitivity, and validity of the simulation data of the system dynamics model were tested. Finally, we used Vensim simulation technology to simulate and analyze the impact of emergency scenarios on the interest rate evolution trend. Overall, this paper provides a scientific simulation technology and data analysis method for examining online lending platforms.

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Kulkarni, Vinayak N., Ashish G. Kulkarni, Anil Kundaragi, V. N. Gaitonde, Jangali Satish G, and B. B. Kotturshettar. "Managing the online classroom and academic activities through PLM platform in crisis context." Journal of Engineering Education Transformations 35, S1 (January 1, 2022): 215–20. http://dx.doi.org/10.16920/jeet/2022/v35is1/22031.

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Online classes have become inevitable during the pandemic situation in the last couple of years. Educational institutes are struggling to adopt the new practices related to online class delivery. In the course of the online delivery process, the quality of the teaching is questionable. Many institutes have adapted themselves to this changing situation of the online classroom delivery process through different platforms. But a classroom delivery process is not just about delivering the content or syllabus through online mode. Before and after online class delivery, there are various pre and post activities for an educational institute. A new approach has been tried in the academic year 2020-21 to use the ENOVIA Product Lifecycle Management (PLM) platform for the online delivery process. It helped the faculty engage the class and collaborate with their colleagues, coordinator, School head, students, and others for different pre-classroom activities. The activities like syllabus preparations, lesson plan preparations etc., and post classroom activities like conducting quizzes, exams, interactions with students, ISO documentation, class committee meetings etc. Also utmost important use of the platform to store and keep the data secured both before and after class delivery. Keywords: Online classes, Pandemic situation, ENOVIA PLM, ISO documentation, Collaboration, Crisis context

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Biro, Sasha L. "Reading in a Time of Crisis." Teaching Philosophy 44, no. 3 (2021): 241–54. http://dx.doi.org/10.5840/teachphil202132137.

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An important part of the work of an introductory philosophy class is learning how to read philosophy. The digital annotation platform Perusall can be useful in both F2F learning environments as well as in virtual learning environments, as it helps students learn how to read philosophy. While the traditional online learning environment relies heavily on the discussion forum to replicate the F2F learning experience, digital annotation is a valuable alternative for promoting student engagement with course material. This paper will describe the platform as well as how to use Perusall to facilitate student participation and close reading of texts.

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Ge, Xiao Fan, Di Bo Hou, Guang Xin Zhang, and Ping Jie Huang. "Cloud Simulation Platform for Water Environment Assessment." Applied Mechanics and Materials 316-317 (April 2013): 670–73. http://dx.doi.org/10.4028/www.scientific.net/amm.316-317.670.

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In this paper, a platform based on SaaS cloud computing framework is developed to provide professional online cloud simulation service for water quality assessment. The DLL, WINDOWS MFC programming methods are investigated and water pollution remote simulation can be performed supported by different water simulation softwares including MATLAB, MIKE and FLUENT. The C# language is used in our programming. The major steps of establishing a water quality simulation model using FLUENT and MATLAB are introduced.

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Jiang, Jingen, and Yongchun Xia. "Optimization and Simulation of Literature Aided Reading System Based on Wireless Sensor Network." Journal of Sensors 2021 (October 6, 2021): 1–11. http://dx.doi.org/10.1155/2021/3467411.

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This paper designs and implements an intelligent online reading platform based on wireless sensor network. The platform adopts SSM framework based on Spring architecture as the cornerstone and is oriented to ordinary users and teachers and students. Ordinary users can carry out normal online reading on the platform, and teachers and students can carry out auxiliary reading teaching on the platform. The online reading platform is an interactive reading platform system integrating online reading, EPub resource generation and management, and user reading data statistics. The whole platform is composed of registration and login module, online reading module, EPub e-book generation module, and reading data report module. Spring, Spring MVC, and Mybatis framework are used to achieve hierarchical solution and improve development efficiency. For the problems that may occur in the process of EPub generation, an intelligent EPub generation mechanism is designed and implemented to achieve intelligent error correction and improve the stability of EPub generation. Platform design and implementation of a reading data report generation system can be in the background of the report generation and download. In addition, the random extraction problem in platform business is also analyzed, the problem model is established, and the database random extraction scheme commonly used in the industry is studied. The application of wireless sensor for reading aid is less and mostly stays in theory. Based on the traditional intelligent clustering system, the system is designed to improve the system scalability and provide a feasible literature assisted reading scheme while ensuring the accuracy and efficiency of the system.

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Gordon, Randy M. "Debriefing Virtual Simulation Using an Online Conferencing Platform: Lessons Learned." Clinical Simulation in Nursing 13, no. 12 (December 2017): 668–74. http://dx.doi.org/10.1016/j.ecns.2017.08.003.

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Trautwein, Stefan, Florian Liberatore, Jörg Lindenmeier, and Georg von Schnurbein. "Satisfaction With Informal Volunteering During the COVID-19 Crisis: An Empirical Study Considering a Swiss Online Volunteering Platform." Nonprofit and Voluntary Sector Quarterly 49, no. 6 (October 23, 2020): 1142–51. http://dx.doi.org/10.1177/0899764020964595.

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The COVID-19 pandemic has led to a huge wave of compassion. In particular, online volunteering platforms established channeling help for high-risk groups. It is unclear under which conditions volunteers were satisfied with their COVID-19 volunteering mediated by these platforms and whether they will continue their engagement after the crisis. Therefore, and considering personal susceptibility to COVID-19 infection, this study analyzes the effects of different platform support for volunteers and the fulfillment of volunteers’ motives. The study is based on an online survey of a sample of 565 volunteers who registered at and were placed by a Swiss online platform. Fulfillment of distinct volunteer motives and platform support drive COVID-19 volunteering satisfaction. Moreover, motive fulfillment and platform-related support indirectly impact willingness to volunteer long-term via volunteering satisfaction. Finally, the empirical results show that motive fulfillment and the effect of platform support are contingent on perceived susceptibility to infection.

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Li, X. Y. "A Multi-Agent Based TE Process Simulation and Optimization Platform." Advanced Materials Research 1049-1050 (October 2014): 1098–101. http://dx.doi.org/10.4028/www.scientific.net/amr.1049-1050.1098.

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For implementing the online control and simulation of TE process, a simulation and optimization platform is proposed based on multi-agent technology. Professional software such as G2, GAMS, Matlab, are wrapped as agents with multi-agent technology. Based on the simple object access protocol, it can control and optimize the online simulation procedure of TE process. Finally the practicability and validity of the proposed platform are verified through the application in the TE process simulation and optimization.

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Sadeghi, Soheil, Peter Chien, and Neeraj Arora. "Sliced Designs for Multi-Platform Online Experiments." Technometrics 62, no. 3 (September 30, 2019): 387–402. http://dx.doi.org/10.1080/00401706.2019.1647288.

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Deng, Wen, and Yi Yang. "Cross-Platform Comparative Study of Public Concern on Social Media during the COVID-19 Pandemic: An Empirical Study Based on Twitter and Weibo." International Journal of Environmental Research and Public Health 18, no. 12 (June 16, 2021): 6487. http://dx.doi.org/10.3390/ijerph18126487.

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The COVID-19 pandemic has created a global health crisis that has affected economies and societies worldwide. During these times of uncertainty and crisis, people have turned to social media platforms as communication tools and primary information sources. Online discourse is conducted under the influence of many different factors, such as background, culture, politics, etc. However, parallel comparative research studies conducted in different countries to identify similarities and differences in online discourse are still scarce. In this study, we combine the crisis lifecycle and opinion leader concepts and use data mining and a set of predefined search terms (coronavirus and COVID-19) to investigate discourse on Twitter (101,271 tweets) and Sina Weibo (92,037 posts). Then, we use a topic modeling technique, Latent Dirichlet Allocation (LDA), to identify the most common issues posted by users and temporal analysis to research the issue’s trend. Social Network Analysis (SNA) allows us to discover the opinion leader on the two different platforms. Finally, we find that online discourse reflects the crisis lifecycle according to the stage of COVID-19 in China and the US. Regarding the status of the COVID-19 pandemic, users of Twitter tend to pay more attention to the economic situation while users of Weibo pay more attention to public health. The issues focused on in online discourse have a strong relationship with the development of the crisis in different countries. Additionally, on the Twitter platform many political actors act as opinion leaders, while on the Weibo platform official media and government accounts control the release of information.

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Tsui, Amy B. M., Carol K. K. Chan, Gary Harfitt, and Promail Leung. "Crisis and opportunity in teacher preparation in the pandemic: exploring the “adjacent possible”." Journal of Professional Capital and Community 5, no. 3/4 (July 13, 2020): 237–45. http://dx.doi.org/10.1108/jpcc-07-2020-0061.

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PurposeThis paper draws on Kauffman's theory of the “adjacent possible” to make sense of the practices which have emerged in response to school and university closures in Hong Kong and reflects on what opportunities exist in this current global crisis.Design/methodology/approachThis paper drew on qualitative data from two emergent practices – the e-practicum and co-teaching on an online platform – in a teacher preparation program at the University of Hong Kong. The data set included online teaching resources produced by student teachers (STs), reflections from STs, feedback from mentors and university tutors, interactions on an online platform and interviews with co-teaching team members.FindingsThe authors found “emergent practices” were developed in response to the pandemic by pushing the boundaries of existing practices and exploring the opportunities hovering at the edges of the possible. These practices were still evolving, but they contained elements that can morph into innovative practices in teacher preparation.Originality/valueThis paper provides a perspective on where opportunity in a crisis can be found and what innovation means in an educational context.

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Hopkins, Emily E., Jennifer J. Wasco, Kathleen C. Spadaro, MaryDee Fisher, Lora Walter, and Marilu Piotrowski. "Crisis response to COVID-19: Elements for a successful virtual event transition." Journal of Nursing Education and Practice 11, no. 3 (November 19, 2020): 36. http://dx.doi.org/10.5430/jnep.v11n3p36.

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Rapid onset of the COVID-19 pandemic necessitated a crisis response among academic institutions to provide continuity of learning, in an alternate structure, as on-ground campuses across the country closed. This led to a myriad of virtual and online learning formats for collegiate programs. Ironically, it also altered plans among existing online programs scheduled for in-person, on-campus residency requirements. Complying with newly imposed institution regulations, a small private university in southwestern Pennsylvania was required to move their traditional on-ground Doctor of Nursing Practice residency to a virtual platform. Leveraging online tools and creating a new format was needed to effectively meet program requirements. Success of the residency was dependent upon a straightforward information technology program with adequate support and detailed student resources. Residency structure from the existing on-ground program was combined with online tools to successfully adapt the event into a virtual format. Feedback provided by students and faculty was reviewed to streamline and improve future transitions. The advent of COVID-19 created an opportunity for the nursing program to learn how to transition a key educational on-ground event to a successful virtual one. Although crisis response is common in the clinical setting, adapting to meet critical needs is also essential to the academic environment. Rapid response with forming a virtual residency has provided a foundation for continued growth and refinement of on-ground events being moved to an online platform during a time of crisis. Critical elements for transitioning to the virtual environment are summarized.

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Hu, Yanle, Jing Zhou, and Bin Gao. "Design and Analysis of Interactive Multimedia Online Physical Education Platform considering Moving Object Segmentation Algorithm." Advances in Multimedia 2021 (December 23, 2021): 1–7. http://dx.doi.org/10.1155/2021/1220512.

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With the development of Internet technology, Internet plus education has become a new mode of changing traditional education methods. Therefore, online physical education has attracted more and more attention. This paper introduces the sports object segmentation algorithm, designs an interactive multimedia online sports education platform by combining the research needs of sports online education platform, and analyzes online sports education from three aspects, sports teaching management, sports teaching resources, and sunshine sports activities, in order to improve the quality of sports education and improve students’ learning interest. Simulation results show that the algorithm is effective and can support the analysis of interactive multimedia online physical education platform.

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Zheng, Gang, Bin Ma, Zhe Yang, and Ding Liu. "Design of a Semi-Real Simulation Platform for the Cold Rolling Mill." Applied Mechanics and Materials 395-396 (September 2013): 1243–47. http://dx.doi.org/10.4028/www.scientific.net/amm.395-396.1243.

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We designed a semi-real simulation platform for the cold rolling mill that was composed of Simulation Computer, Simulation System of Field Signal, AGC Control System, Console of Rolling Mill and the Main Control Computer, and built the mathematical models in the Simulation Comuter, for the hydraulic servo system, rolling force and thickness of strip material. In the platform, the Simulation System of Field Signal output the simulation data as standard sensor signal; the AGC Control System is the same as that used in real rolling mill system. We simulated the milling process of real rolling mill system at this platform using the field-recorded online data. The differences between simulation results and those in real system were small. Simulation results show that this simulation platform can be used in the research and optimization of rolling mill control system.

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Prescott, Julie, Amy Leigh Rathbone, and Terry Hanley. "Online mental health communities, self-efficacy and transition to further support." Mental Health Review Journal 25, no. 4 (September 28, 2020): 329–44. http://dx.doi.org/10.1108/mhrj-12-2019-0048.

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Purpose This study is exploratory research which aims to understand how users gain support from the online mental health community (OMHC) 18 percent and whether engagement with this community may possibly lead to increased self-efficacy. Design/methodology/approach In total, 128 users of an OMHC, 18 percent, completed an online questionnaire that asked open-ended questions about the community and how users engaged with it. The results were analysed using quantitative and qualitative methods. Findings Based on the construct of self-efficacy within social cognitive theory, it is evident that the platform provides users with increased self-efficacy and encourages further support seeking in a professional capacity, either via an online or offline platform. Originality/value OMHCs provide a therapeutic, peer-to-peer space for users in times of crisis which have the possibility to increase self-efficacy when engaged with. However, users must acknowledge that although the online platform is an efficacious resource, it cannot be used as a principal proxy for offline treatment.

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Mahajan, Rajiv, Kapil Gupta, Sandeep Kaur, Tanvir Kaur Sidhu, Upinder Kaur, Parmod Kumar Goyal, and Sanjay Bedi. "Effectiveness of interactive dual-mode online platform for teaching and assessment of students during COVID 19 pandemic: Narrative experience and reflections of undergraduate medical students." Adesh University Journal of Medical Sciences & Research 3 (June 22, 2021): 34–40. http://dx.doi.org/10.25259/aujmsr_18_2021.

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Objectives: The objective of the study was to evaluate the perception of the undergraduate students about the online platform developed, through a long-term, qualitative study. COVID-19 enforced initial lockdown and later closing of educational institutes, including medical colleges in India. The circumstances lead to adoption of online means of teaching for teaching the medical undergraduate students. An interactive dual-mode online platform was introduced for teaching and assessment of undergraduate students in our institute also. Materials and Methods: Narrative experiences and reflections of students while attending online classes through the designed and delivered “interactive dual-mode online platform” were collected through open ended, anonymous Google forms. Results: Students were satisfied with the online learning as a stop-gap arrangement. Although they were facing technical snags and internet issues, they were happy that their syllabus was being covered and they were receiving formative assessment, in whatever quantity and mode possible. However, they were concerned about the lack of clinical training. Conclusion: To tide over crisis period, online teaching can be used, but one should shift to onsite teaching as soon as possible, particularly for medical students.

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Sander, Barrie, and Nicholas Tsagourias. "The covid-19 Infodemic and Online Platforms as Intermediary Fiduciaries under International Law." Journal of International Humanitarian Legal Studies 11, no. 2 (December 9, 2020): 331–47. http://dx.doi.org/10.1163/18781527-01102002.

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Reflecting on the covid-19 infodemic, this paper identifies different dimensions of information disorder associated with the pandemic, examines how online platform governance has been evolving in response, and reflects on what the crisis reveals about the relationship between online platforms, international law, and the prospect of regulation. The paper argues that online platforms are intermediary fiduciaries of the international public good, and for this reason regulation should be informed by relevant standards that apply to fiduciary relationships.

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Wu, Helong, Mingxi Cai, and Zongke He. "Research on flight control system hardware in the loop simulation system based on NI hardware platform for Unmanned Aerial Vehicle." Journal of Physics: Conference Series 2366, no. 1 (November 1, 2022): 012051. http://dx.doi.org/10.1088/1742-6596/2366/1/012051.

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Abstract HIL(Hardware in the loop) simulation of UAV(Unmanned Aerial Vehicle) plays an important role in flight control sysrtem development and algorithm verification. Taking the open source flight control system Pixhawk as the research object, this paper establishes a HIL system based on NI(National Instrument) hardware platform. The dynamic model and kinematic model are modeled through Simulink, the online management of simulation model is realized through Veristand, and the online display of model parameters and fault injection are realized through Labview. The simulation system can test the functional performance, reliability and safety of flight control system. The simulation results show that the simulation platform works reliably and has good real-time performance. It can effectively and reliably carry out the HIL of flight control system for UAV.

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Qi, Xiang Yang, and Guo You Li. "DCS Simulation Modeling and Development for Ethylene Cracking Plant." Advanced Materials Research 765-767 (September 2013): 3104–9. http://dx.doi.org/10.4028/www.scientific.net/amr.765-767.3104.

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On the basis of the analysis of ethylene cracking process, equipment, process control and operation conditions, using process control system simulation platform, Ethylene cracking plant DCS modeling and simulation training system were developed. Using continuous modeling method, combined mechanism modeling with test data analysis, DCS control system mathematic model was established, by which normal operation, start,shutdown process and accident treatment process were simulated. The online evaluating system was developed too, which supply a virtual platform for the training of ethylene cracking process.

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Zhang, Xia, Zhengyou Xia, and Zhan Bu. "Popularity Evaluation Model for Microbloggers Online Social Network." Discrete Dynamics in Nature and Society 2014 (2014): 1–12. http://dx.doi.org/10.1155/2014/356072.

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Recently, microblogging is widely studied by the researchers in the domain of the online social network (OSN). How to evaluate the popularities of microblogging users is an important research field, which can be applied to commercial advertising, user behavior analysis and information dissemination, and so forth. Previous studies on the evaluation methods cannot effectively solve and accurately evaluate the popularities of the microbloggers. In this paper, we proposed an electromagnetic field theory based model to analyze the popularities of microbloggers. The concept of the source in microblogging field is first put forward, which is based on the concept of source in the electromagnetic field; then, one’s microblogging flux is calculated according to his/her behaviors (send or receive feedbacks) on the microblogging platform; finally, we used three methods to calculate one’s microblogging flux density, which can represent one’s popularity on the microblogging platform. In the experimental work, we evaluated our model using real microblogging data and selected the best one from the three popularity measure methods. We also compared our model with the classic PageRank algorithm; and the results show that our model is more effective and accurate to evaluate the popularities of the microbloggers.

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Chu, Xiaoyan. "New Thoughts on the Construction of Online Education Platform in Colleges and Universities during the 2019-nCoV Epidemic." BCP Education & Psychology 3 (November 2, 2021): 178–83. http://dx.doi.org/10.54691/bcpep.v3i.34.

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Affected by the novel coronavirus pneumonia, schools across the country are facing the problem of postponed school opening. In order to respond to the call of "suspended class, ongoing learning", online education has become an important measure to maintain the normal teaching work. Through the investigation and analysis of online learners, this study finds out that current online education platforms have many problems remaining to be solved including the learning questions not getting answered in time, the learning environment not real, the function of the platform not perfect. Further, it puts forward some solutions, such as strengthening online interaction, integrating virtual simulation technology, using 5G technology and creating adaptive platform, in order to promote the further improvement and development of online education platform.

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Zhang, Xuemei, Chenhao Ma, Haoran Chen, and Guohu Qi. "Impact of Retailer’s Vertical and Horizontal Fairness Concerns on Manufacturer’s Online Channel Mode." Discrete Dynamics in Nature and Society 2021 (February 28, 2021): 1–12. http://dx.doi.org/10.1155/2021/6692582.

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This paper investigates a dual-channel supply chain consisting of a manufacturer and a retailer, where the retailer exhibits vertical and horizontal fairness concerns. The manufacturer or the retailer direct selling and e-commerce platform agency selling modes are employed to characterize the impact of retailer’s fairness concerns on the online channel mode strategy. Results show that the retailer’s fairness concerns only affect the wholesale price and online channel mode strategy. Without the retailer’s fairness concerns, the manufacturer direct selling mode is the best strategy for the manufacturer, which harms the retailer’s utility. With the retailer’s fairness concerns, the manufacturer may choose the manufacturer direct selling or e-commerce platform agency selling mode. When the fairness concern parameters meet a certain range, the e-commerce platform agency selling mode strategy is better for the supply chain members, which can solve the interest conflict between supply chain members. These research findings help dual-channel supply chain members understand how to choose the channel structure strategy to balance the supply chain members’ interests by considering fairness concerns.

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Liu, Xiaowei, and Hongjin Liu. "Design of English Mobile Learning Platform Based on GSM-R Wireless Network Communication System." International Journal of Antennas and Propagation 2021 (September 30, 2021): 1–9. http://dx.doi.org/10.1155/2021/9944169.

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Because the traditional English mobile learning platform has low student satisfaction and a long learning time, an English mobile learning platform based on the GSM-R wireless network communication system is designed. A GSM-R wireless network communication system is built through existing facilities, new facilities, and business-side facilities. Platform function modules are designed based on the communication system, including course resource management module, online examination management module, online Q&A management module, platform management module, and user login. Based on this module, the platform software is designed according to the three steps of database design, platform encryption technology, and learning recommendation algorithm to create the English mobile learning platform. The simulation experiment results show that the application of the designed platform can improve student satisfaction and improve student learning efficiency.

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Hope, Denise L., Gary D. Grant, Gary D. Rogers, and Michelle A. King. "Virtualized Gamified Pharmacy Simulation during COVID-19." Pharmacy 10, no. 2 (March 26, 2022): 41. http://dx.doi.org/10.3390/pharmacy10020041.

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Extended and immersive gamified pharmacy simulation has been demonstrated to provide transformative learning in pharmacy education, preparing graduates for real-world practice. An international consortium of universities has implemented local adaptations of the Pharmacy Game into their curricula. From early 2020, pharmacy academics modified the delivery of gamified simulation in response to the COVID-19 pandemic, while still aiming to deliver the important learning outcomes of enhanced communication, collaboration, confidence and competence. Australian universities went into full lockdown from March 2020, and the critical gamified simulation at Griffith University was delivered entirely virtually in 2020. An array of synchronous and asynchronous approaches and software platforms was employed, including Microsoft Teams, Forms and Stream plus the online interview platform Big Interview. These allowed for the simulation activities, including dispensing, counselling and clinical cases, to be conducted by students online. In 2021, Griffith University conducted hybrid delivery of its Pharmacy Game, balancing student participation both in person and online. Microsoft Power Apps was added to the hosting platform to enhance the simulation interface, and Power Virtual Agent artificial intelligence chatbots, with natural language processing, were used to enable asynchronous clinical interaction. The combination of learning technologies provided the means to deliver successful gamified simulation in the virtual and hybrid environments while still achieving outstanding learning outcomes from the capstone activity. This paper details the technologies used to virtualize the Australian Pharmacy Game and the analytics available to educators to assess student participation, engagement and performance.

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Yao, Albert Wen-Long, Hsin-Te Liao, Shu-Chuan Jessica Chi, and Shih-Sen Peng. "A PETRI NET BASED OFFLINE SIMULATION AND ONLINE DIAGNOSTIC PLATFORM FOR MANUFACTURING SYSTEMS." Journal of the Chinese Institute of Industrial Engineers 22, no. 1 (January 2005): 64–75. http://dx.doi.org/10.1080/10170660509509278.

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Usmani, Najmul Islam, Rajaram Panigrahi, Susanta Kumar Mishra, Achinta Kumar Dalal, Rakesh Juyal, Dhiraj Meshram, Kumar Gaurav, and Ravi Prakash. "Development of Virtual Training Platform for Tandem Cold Rolling Mill Using Data Science and Digital Twin Technology." International Journal for Research in Applied Science and Engineering Technology 10, no. 3 (March 31, 2022): 1589–98. http://dx.doi.org/10.22214/ijraset.2022.40719.

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Abstract: An attempt has been made to develop Virtual Training Platform for Pickling Line Tandem Cold Mill (PLTCM) intended to deliver faster and enhanced learning experience of the process operator by leveraging Advanced Data Modelling, Data Science and Digital Twin Technology. Virtual Training Platform has modules for virtual tour of the plant, setup simulation, real-time rolling simulation, performance evaluation. Rolling Simulation has ANN based Automatic gauge control model and DNN based shape prediction model. Platform also comprises of a Natural Language Processing based chatbot for online query related to process line. Keywords: tandem cold Mill; Deep Neural Network (DNN); Virtual tour; Automatic Gauge Control (AGC), shape Control; chatbot

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Ren, Nver, Rong Jiang, and Dongze Zhang. "Research on CarMaker and Cloud Computing Platform Co-Simulation Based on APO." Journal of Physics: Conference Series 2065, no. 1 (November 1, 2021): 012020. http://dx.doi.org/10.1088/1742-6596/2065/1/012020.

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Abstract An cloud computing platform based on B/S architecture and docker container technology for autonomous driving simulation has been established in this paper. The map editor module of the cloud platform lets users design 3D scenes for simulating and testing automated driving systems. When the customized roadway scene for simulation created, it would be saved as OpenDrive format both for the server of cloud platform and CarMaker’s TestRun which all parameters of the virtual environment (vehicle, road, tires, etc.) are sufficiently defined. Then, based on the application online (APO) communication protocol of CarMaker, the local APO agent service was created. When the 27 parameters of vehicle dynamics received from CarMaker server, they were sent to the cloud platform in real time through UPD protocol. The process of data communication is completed by APO agent. Through the work above, a co-simulation between cloud platform and CarMaker could be successfully established for autonomous driving with seventeen-degree-of-freedom. Through the co-simulation experiment, it is found that the real-time data sampling frequency of the co-simulation is 70Hz, which completes the synchronous simulation of carmaker and cloud platform.

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Woo, Jong Hun, Youngmin Kim, Young-Kuk Jeong, and Jong-Gye Shin. "A Research on Simulation Framework for the Advancement of Supplying Management Competency." Journal of Ship Production and Design 33, no. 01 (February 1, 2017): 60–79. http://dx.doi.org/10.5957/jspd.2017.33.1.60.

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Various efforts to overcome the current crisis of shipbuilding industry have been being made in every area, including development, administration, and customer management. For overcoming the crisis, this study proposes a methodology to reconsider the supply management competency, which consists of production, procurement, and logistics, by the virtualization of Plan Do See (PDS) cycle using simulation technology and introduces a case study to verify the proposed methodology. The keys to the methodology are a comprehensive simulation framework including systematic analysis for the index investigated through simulation and a simulation platform for constructing a smooth input/output environment by avoiding dependencies on existing solutions. The systemized simulation framework is expected to maximize the speed and precision of decision-making regarding the supply management of shipyard and therefore eliminate waste elements that generate a large deficit.

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Zhu, Meihong, Xiao Li, Liqing Zhu, Xueli Zhan, and Junhai Ma. "Dynamic Evolutionary Games and Coordination of Multiple Recycling Channels considering Online Recovery Platform." Discrete Dynamics in Nature and Society 2021 (August 3, 2021): 1–17. http://dx.doi.org/10.1155/2021/9976157.

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Nowadays, with a great number of household electrical appliances being discarded in every corner of the world every day, household electrical appliances recycling is attracting more attention. In this paper, we build a closed-loop supply chain that consists of a manufacturer and a third-party recycler based on the development of “Internet Plus” recovery platform. We thoroughly analyze the model and its evolution by chaos theory, complex dynamics theory, and numerical simulation and introduce the adaptive method to control the chaos of the system. We find that as the manufacturer increases the retail price, the stable area of the market becomes smaller. At the same time, when the manufacturers direct recycle price or the price adjustment range of the products recycled from the third party exceeds a certain threshold, all the recycle prices in the whole market will fluctuate, thus causing market chaos. Among them, as an adjustment decision method, delay strategy reduces the volatility of recycle price and makes it return to a stable state, which is an effective method to control system disorder. In addition, the third-party recycler will change the optimal subsidy model according to the government’s price subsidy level, while the manufacturer always prefers the price subsidy model.

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Pérez-Rubio, María Carmen, Álvaro Hernández, David Gualda-Gómez, Santiago Murano, Jorge Vicente-Ranera, Francisco Ciudad-Fernández, José Manuel Villadangos, and Rubén Nieto. "Simulation Tool and Online Demonstrator for CDMA-Based Ultrasonic Indoor Localization Systems." Sensors 22, no. 3 (January 28, 2022): 1038. http://dx.doi.org/10.3390/s22031038.

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This work presents the CODEUS platform, which includes a simulation tool together with an online experimental demonstrator to offer analysis and testing flexibility for researchers and developers in Ultrasonic Indoor Positioning Systems (UIPSs). The simulation platform allows most common encoding techniques and sequences to be tested in a configurable UIPS. It models the signal modulation and processing, the ultrasonic transducers’ response, the beacon distribution, the channel propagation effects, the synchronism, and the application of different positioning algorithms. CODEUS provides results and performance analysis for different metrics and at different stages of the signal processing. The UIPS simulation tool is specified by means of the MATLAB© App-Designer environment, which enables the definition of a user-friendly interface. It has also been linked to an online demonstrator that can be managed remotely by means of a website, thus avoiding any hardware requirement or equipment on behalf of researchers. This demonstrator allows the selected transmission schemes, modulation or encoding techniques to be validated in a real UIPS, therefore enabling a fast and easy way of carrying out experimental tests in a laboratory environment, while avoiding the time-consuming tasks related to electronic design and prototyping in the UIPS field. Both simulator and online demonstrator are freely available for researchers and students through the corresponding website.

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Stanković, Jovica, Slavoljub Milovanović, and Ognjen Radović. "Applying the Moodle Platform in Online Student Self-Assessment." Economic Themes 55, no. 2 (June 27, 2017): 281–304. http://dx.doi.org/10.1515/ethemes-2017-0016.

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AbstractTaking into consideration the importance of information and communications technology in higher education both as part of the teaching and grading process, but also the limitations in its application in higher education in the Republic of Serbia, this paper outlines the possibilities which the Moodle platform offers for the definition and use of online self-assessment tests and quizzes in the preparation and simulation of the entrance exam for the Faculty of Economics of the University of Niš. To indicate the importance of egrading for the increase in the effectiveness of learning, the paper analyses the number of created accounts and the number of visits, while a statistical analysis of the candidates′ results on the simulated entrance exam, from 2014 to 2016, was used to test the hypothesis on the significance of formative assessment for effective learning. The obtained t-test results indicate that formative assessment in this specific instance contributes to the improvement of the candidates’ learning process and that the application of such a means of student self-assessment in other areas of study would significantly contribute to the increase in the effectiveness of learning. On the other hand, statistical analyses of individual responses to questions represent a significant source of feedback for teachers, which can be used for the purpose of redefining tests.

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Li, Ying Sen. "Research of the Simulation Experiment Platform for Grinding Process Control." Applied Mechanics and Materials 635-637 (September 2014): 1364–68. http://dx.doi.org/10.4028/www.scientific.net/amm.635-637.1364.

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Grinding process is a critical procedure of mineral process, and its running character is extremely important for the productivity and quality improvement. It is of comprehensive and complicated characteristics of nonlinearity, large time-delay, slow time-varying and so many key engineering parameters which can not be detected online. It is dramatically significant and difficult to study the control algorithms, the optimization algorithms and the soft censor techniques for grinding process. In order to decrease the cost and risk of practical debugging, how to establish a control simulation system of grinding process for engineering is an issue which has greatly practical value. The simulation experiment platform for grinding process control is designed and developed. The general structure of the platform including real control system and virtual production plant is proposed. Thus, a kind of engineering experiment environment is provided for control and optimization algorithms.

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Wang, Yan. "Brand crisis communication through social media." Corporate Communications: An International Journal 21, no. 1 (February 1, 2016): 56–72. http://dx.doi.org/10.1108/ccij-10-2014-0065.

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Purpose – The purpose of this paper is to investigate how companies make use of social media communication to turn crises into opportunities and how consumers respond to this brand management strategy, and evaluate the effects of this kind of advertising campaign. Design/methodology/approach – This study uses the textual analysis method to examine the verbal fight between two brand competitors on Sina Weibo. An interpretative analysis approach is adopted to analyze a series of micro-blog messages and relevant responses and comments. A statistical analysis is conducted to reveal the public opinion on this case. Findings – The brand crisis due to trademark dispute has been successfully turned into an advertising campaign, which received eager and favorable responses from the consumers. In the name of making apologies, the company in crisis availed itself of the Weibo platform to make a veiled protest against the verdict of the Court. The technique “acting cute” was proved to be effective in diminishing the negative effect of a brand crisis and winning public sympathy and support. Research limitations/implications – The research findings may provide insights into the interplay between brand advertising and corporate crisis communication on the platform of social media. Practical implications – This study can inform practitioners of useful techniques to deal with brand crises via social media. Originality/value – The value of this study lies not only in its contribution to the body of knowledge on online crisis management with a case of Chinese companies, but also in its validation of the interplay between crisis communication and advertising.

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a, Parthasarathi. "TESTING THE EFFICACY OF VIRTUAL LABS IN INDIA FOR SIMULATION OF OPTICS EXPERIMENTS AT THE UNDERGRADUATE LEVEL." International Journal of Advanced Research 9, no. 08 (August 31, 2021): 140–49. http://dx.doi.org/10.21474/ijar01/13241.

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Laboratory experimentation isan important ingredient of every undergraduate program in science education. The use of virtual and remote laboratories (VRLs) offers several benefits to students, teachers, and instructors. It can mitigate the high costs of procurement of apparatus in traditional labs and can support distance and blended learning. The recent outbreak of Covid-19 has resulted in isolating the students from labs which have made such online laboratories imperative even in the traditional offline education system. They offer a possible alternative to conventional hands-on labs. Such online mode imparts freedom to teachers as well as students to define their experimental goals and objectives. This paper tests the efficacy of the Virtual Labs platform for conducting simulated experiments onlinein the field of Optics. The learning outcome of the students who employ the same to simulate experiments online is analyzed. The main objective is to explore the limitations posed to the users of such an online lab platform in terms of designing the experimentsand visualization of the experiment results and offer suggestions to make such VRLs more efficacious, versatile, and user-friendly.

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Huang, Tian-en, Qinglai Guo, and Hongbin Sun. "A Distributed Computing Platform Supporting Power System Security Knowledge Discovery Based on Online Simulation." IEEE Transactions on Smart Grid 8, no. 3 (May 2017): 1513–24. http://dx.doi.org/10.1109/tsg.2016.2571442.

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Ryu, Gi-Myeong, Jung-Hun Shin, Sik Lee, and Kum-Won Cho. "Development of User-Interactive Online Education System using Web-based Computational Science Simulation Platform." International Journal of Advanced Science and Technology 115 (June 30, 2018): 135–48. http://dx.doi.org/10.14257/ijast.2018.115.13.

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Angehrn, Philipp, Sabina Steiner, and Christophe Lienert. "The Swiss joint information platform for natural hazards." Abstracts of the ICA 1 (July 15, 2019): 1–2. http://dx.doi.org/10.5194/ica-abs-1-12-2019.

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Abstract. The Swiss Joint Information Platform for Natural Hazards (GIN) has been realized from 2008 to 2010 as part of the Swiss federal government’s OWARNA project, which aimed at optimizing warning and alerting procedures against natural hazard. The first online-version of the platform went productive in 2011 with the primary goal of providing measured and forecast natural hazard data in form of processed cartographic, graphic and other multimedia products to professional users &ndash; before, during and after natural hazard events. In Switzerland water-, weather-, snow- and earthquake-related hazards are the most relevant ones.In 2013, an online survey showed that the platform does not fully meet user expectations, particularly as to user experience and usability of its cartographic, web-based user interface. Revaluation and redesign of the overall platform were necessary in order to improve map legibility, caused by the complexity of data, large data amounts, and high spatial density of online, real-time measurement data locations. A new web design and user interaction concept have been developed in 2014 and eventually put online in June 2017. User acceptance testing by means of surveys and direct user feedback sessions were key factors in this perennial redesign process. The GIN platform now features important novel technical and graphical elements: The starting page is based on a dashboard containing virtual dossiers (Fig. 1), with which users configure their desired information, data, and map bundles individually, or use predefined adaptable views on various existing data sets. In addition, there is a new overall spatial search function to query data parameters. A responsive approach further improves the usability of the platform. The focus of these new features is on multi-views involving maps, diagrams, tables, text products, as well as selected geographical areas on maps, and fast data queries (Fig. 2). Current user feedback suggests that the new GIN platform design is well received, and that it is moving closer to its very goal: online monitoring and management of natural hazard events by enhanced usability, more targeted and higher personalization.Several Swiss Cantons (i.e., the political entities in Switzerland below the federation) actively participated, and still participate, in the conceptual GIN platform development process through advisory board meetings and consultations. On the operational level, Cantons actively provide and contribute further natural hazard information and measurement data from their own natural hazard monitoring networks. These additional Cantonal regional-scale data sets help to fill spatial data gaps, where no Federal data is available. GIN thusly integrates natural hazard data from Federal and Cantonal levels (and partly even private level), which adds value to all stakeholders on various political levels involved in natural hazard management (Federal, Cantonal, Regional, Communal crisis committees). Stakeholders not only use GIN’s ample database and cartographic product portfolio to accomplish their early warning and crisis management tasks, but also benefit from seamless, secure and reliable IT-services, provided by the Swiss Federal Government. With the new GIN platform, Switzerland has a powerful, integrative, and comprehensive tool for monitoring and responding to natural hazard events.

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Journal articles on the topic 'Online crisis simulation platform'

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