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Journal articles on the topic 'Application scenarios'

Author: Grafiati

Published: 4 June 2021

Last updated: 9 June 2025

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Krishnamohan, Theviyanthan. "A Survey of Applications of Blockchain in Collective Decision-Making Scenarios in Swarm Robotics." Journal of Innovation Information Technology and Application (JINITA) 5, no. 2 (December 29, 2023): 124–29. http://dx.doi.org/10.35970/jinita.v5i2.1950.

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Blockchain is a distributed ledger that was introduced to decentralize monetary systems. However, with time, the applications of blockchain in different realms have been identified. Swarm robotics is a field that combines swarm intelligence and robotics to solve real-world problems that cannot be solved by monolithic robots. Collective decision-making is one of the major behaviors implemented by swarm robotics. This study analyzes existing literature on the applications of blockchain in the collective decision-making scenarios in swarm robotics. Consequently, this study introduces a novel taxonomy to study the different applications effectively. The taxonomy categorizes existing literature into (i) application of blockchain in other areas of swarm robotics, (ii) application of blockchain in continuous collective decision-making scenarios, (iii) application of blockchain in discrete collective decision-making scenarios, (iv) application of blockchain in other discrete collective decision-making scenarios, and (v) application of blockchain in the collective perception scenario. Finally, the limitations of existing work such as excessive resource consumption and violation of swarm robotics principles are discussed.

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Patel, Harshada, and Madeline J. Hallewell. "Persona-Scenarios in Game Development." International Journal of Game-Based Learning 11, no. 1 (January 2021): 1–16. http://dx.doi.org/10.4018/ijgbl.2021010101.

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The 3D Tune-In project developed serious/leisure game applications to educate hearing aid (HA) users about how HA functionalities could improve hearing in different sound environments. The application development team had little prior experience catering for end-users with hearing loss. HA users and their communication partner were consulted regarding their communication difficulties and communication strategies in different environments. Participants reported many hearing problems, affective issues, problems with their HA, tensions in their relationship caused by hearing issues, and they noted a need for training in how best to use HAs. Persona-scenarios were created outlining user needs and goals and a user-requirements table detailed how end-users might interact with proposed applications, both of which were presented to developers during the initial application design period. Game developers identified that these resources positively influenced the development of their application. They were able to produce a useful and useable application for their new target user.

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Fotr, Jiří, Miroslav Špaček, Ivan Souček, and Emil Vacík. "Scenarios, their concept, elaboration and application." Baltic Journal of Management 10, no. 1 (January 5, 2015): 73–97. http://dx.doi.org/10.1108/bjm-01-2014-0004.

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Purpose – The purpose of this paper is to elucidate on specific risk mitigation approach which is known as “scenario approach”. Description of stepwise process of their elaboration, which is worth considering for managers, offers feasible tool not only for company risk management improvement but also for significant enhancement of the quality of company strategic planning. Authors also draw attention to advantages and disadvantages of investment and strategic scenario planning. Theoretical implications of using scenario approaches are exemplified both by the set of investment projects and company strategic planning process where method in question was applied. Design/methodology/approach – As for methods applied which fulfilled research strategies, it is worth mentioning following items: analysis which explores particular parts of methodology of scenario elaboration and application, the way of obtaining information, impact on strategy, working with risks and organizational support of outcomes in company environment; synthesis observing context and natural relation of problems solved which supports research hypotheses formulation; induction generalizing facts acquired from results in companies; deduction to be grounds on which conclusion of this paper was drawn up; abstraction used upon evaluation of case studies; comparison assessing consistency and inconsistency of phenomena and objects; description inevitable for characterization of companies and environment in which they operate; interview collecting information inevitable for the evaluation of the way of working with scenarios and company knowledge standards; modelling was used upon consideration about possible future development of factors observed. Findings – The paper arrived at conclusion, that scenario approach, when used appropriately, may significantly mitigate risk exposure of the company. Conclusions which have been made on selected industrial companies can be extended to other industrial branches. Practical application of scenario planning method confirmed that this approach was superior to deterministic single scenario model. Scenario technique thus compensates for deficiencies and omissions which are inherent in simplistic deterministic model. In cases where an investment scenario planning process proved to be insufficient, the paper refers to more advanced techniques like simulation methods or real options. Research limitations/implications – Over past ten years practical test of proposed stepwise process of scenarios elaboration was repeatedly tested on approx ten industrial companies during the tenure of Mr Soucek and Mr Špaček in top managerial positions. Practical implications – This paper offers flexible and feasible toll for scenario elaboration and their further development. Such an approach contributes significantly to the enhancement of company risk management process. Proceedures described were successfully tested in managerial practice by two of authors while holding CEO positions in oil prcessing and pharma business. Social implications – This paper does not have direct social implication. But scenario approach as a powerful tool of risk management process may significantly contribute to company survival and thus impact social status all stakeholders concerned. Therefore social implications should be identified rather on the background of the problem. Originality/value – Notwithstanding some general notion about scenario concept, there is still little evidence that scenario approach is applied in larger extent. It is prevalently due to lack of expertise of respective managers who are obviously puzzled with numerous outcomes to be obtained by this approach. Clearly define procedure of scenarios formation may be conducive to larger exploitation of this approach. Design of the elaboration and application of scenario approach which was proven to be functioning in the practice brings new benefits to risk management exploration.

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Phadke, Abhishek, and F. Antonio Medrano. "Examining application-specific resiliency implementations in UAV swarm scenarios." Intelligence & Robotics 3, no. 3 (2023): 436–61. http://dx.doi.org/10.20517/ir.2023.27.

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The number of real-world scenarios where the use of an unmanned aerial vehicle (UAV) swarm is beneficial has greatly increased in recent years. From precision agriculture to forest fire monitoring, post-disaster search and rescue applications, to military use, the applications are widespread. While it is a perceived requirement that all UAV swarms be inherently resilient, in reality, it is often not so. The incorporation of resilient mechanisms depends on an application usage scenario. This study examines a comprehensive range of application scenarios for UAV swarms to bring forward the multitude of components that work together to provide a measure of resilience to the overall swarm. A three-category scheme is used to classify swarm applications. While systemic resilience is an interconnected concept, most real-world applications of UAV swarm research focus on making certain components resilient to disturbances. A broad categorization of UAV swarm applications, categorized by recognized components and modules, is presented, and prevalent approaches for novel resilience mechanisms in each category are discussed.

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Hu, Yifei, Long Yan, and Shuang Liu. "Control Technology for Power Edge-Side Equipment Coordination to Suppress Power Fluctuations in Multiple Application Scenarios." Journal of Nanoelectronics and Optoelectronics 18, no. 1 (January 1, 2023): 104–12. http://dx.doi.org/10.1166/jno.2023.3363.

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In order to meet the power control requirements of power grids in multiple application scenarios, a control technology for power edge-side equipment coordination to suppress power fluctuations in multiple application scenarios is proposed. Firstly, the structure of distributed photovoltaic connected to AC microgrid in multiple application scenarios is analyzed, and the power fluctuation of inverters and filter energy storage inductance components is analyzed to determine the type of photovoltaic power generation power edge side equipment in multiple application scenarios. On this basis, the power fluctuation target is analyzed, and the power control target function is constructed. It predicts the short-term smoothing power of power edge-side devices in multiple application scenarios, and realizes the coordinated power fluctuation control of power edge-side devices in multiple application scenarios based on the vector regulation domain. The experimental results show that the system loss of the method in this paper is small in the fluctuation suppression scenario and typical application scenario, the power fluctuation of the three methods meets the requirements of the national standard, the power of the equipment on the power edge side is relatively stable, and the output power is between 218–224 MW fluctuation, and the power fluctuation rate is small, the maximum power fluctuation rate is 1.5%.

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Bishop, Peter, Rebecca Tamarchak, Christine Williams, and Laszlo Radvanyi. "Innovative application of strategic foresight to oncology research." foresight 22, no. 5/6 (November 12, 2020): 533–50. http://dx.doi.org/10.1108/fs-03-2020-0028.

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Purpose This study aims to investigate into the future of cancer and cancer research in preparation for a strategic plan for a cancer research centre. Design/methodology/approach The study used framework foresight, a method for creating scenarios and their implications developed by the MS program in Foresight at the University of Houston. Findings The study identified four scenarios: a continuation scenario in which progress in detecting and treating cancer progressed as it has over the past few decades, a collapse scenario in which attention was diverted from medical research due to a climate crisis, a new equilibrium scenario in which cost became the overriding concern for cancer treatment, and a transformation scenario in which individuals took control of their treatment through Do-It-Yourself remedies. Those scenarios suggested four strategic issues for the planning exercise: the growing volume of genomic and clinical data and the means to learn from it, the increased involvement and influence of patients in diagnosis and treatment, the ability to conduct research in a time of fiscal austerity and declining levels of trust in all professions, including medicine. Research limitations/implications The paper not only provides guidance for cancer centers but also for medical practice in general. Practical implications The client used the scenarios and their implications as part of its considerations in strategic planning. Originality/value This paper represents the first time that Framework Foresight has been applied to a medical topic.

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Ekky Novriza Alam and Fitriyana Dewi. "PERFORMANCE TESTING ANALYSIS OF BANDUNGTANGINAS APPLICATION WITH JMETER." International Journal of Innovation in Enterprise System 6, no. 2 (October 16, 2024): 157–66. http://dx.doi.org/10.25124/ijies.v6i02.172.

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The bandungtanginas.id application was created to serve the needs of data collection on maternal andchild health at every posyandu in the city of Bandung. This application is planned to be able to servearound 1,982 posyandu in the city of Bandung, around 10,000 users, who are expected to be able toaccess the bandungtanginas.id application. In the current condition of the application supportinfrastructure still has limitations in supporting the bandungtanginas.id application. Withspecifications that tend to be low, an improvement effort is needed through generating applicationusage scenarios so that the services provided can be optimally available using the existinginfrastructure. This research focuses on analyzing the application performance by using load testing.This research has four stages: determining the test's purpose, creating a test scenario, carrying outscenario testing, and analyzing the results. The analysis will be carried out with the results of loadtesting experiments based on the scenarios that have been made. Test scenarios are made to obtainexperimental data, last further analysis and conclusions will be made. Scenarios are created based onan estimate of the optimal number of users the application should serve. The test scenario will use atarget user of between 10 – 200 users who are divided in five groups of load testing scenarios. Fromthis trial, it will be seen how the performance of the bandungtanginas.id application for each scenariogroup that has been created. The result of this study showed that the best scenario forbandungtanginas.id application could serve users in the range of 30-50 users. It is obtained from theresponse time results, which show the average results are under 30 seconds according to the SLA(Service Level Agreement) standard for application users.

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Qiu, Qin, Shenglan Liu, Sijia Xu, and Shengquan Yu. "Study on Security and Privacy in 5G-Enabled Applications." Wireless Communications and Mobile Computing 2020 (December 19, 2020): 1–15. http://dx.doi.org/10.1155/2020/8856683.

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5G applications face security risks due to the new technology used and the performance requirements of the specific application scenario. This paper analyzes the security requirements and presents hierarchical solutions for stakeholders to build secure 5G applications. First, we summarize the technical characteristics and typical usage scenarios of 5G. Then, we analyze the security and privacy risks faced by 5G applications and related security standards and research work. Next, we give the system reference architecture and overall security and privacy solutions for 5G applications. Based on the three major application scenarios of eMBB, uRLLC, and mMTC, we also provide specific suggestions for coping with security and privacy risks. Finally, we present a use case of industrial terminal access control and make conclusions of this paper.

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Lindkvist, Emma, Magnus Karlsson, and Jenny Ivner. "System Analysis of Biogas Production—Part II Application in Food Industry Systems." Energies 12, no. 3 (January 28, 2019): 412. http://dx.doi.org/10.3390/en12030412.

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Biogas production from organic by-products is a way to recover energy and nutrients. However, biogas production is not the only possible conversion alternative for these by-products, and hence there is interest in studying how organic by-products are treated today and which alternatives for conversion are the most resource efficient from a systems perspective. This paper investigates if biogas production is a resource efficient alternative, compared to business as usual, to treat food industry by-products, and if so, under what circumstances. Five different cases of food industries were studied, all with different prerequisites. For all cases, three different scenarios were analysed. The first scenario is the business as usual (Scenario BAU), where the by-products currently are either incinerated, used as animal feed or compost. The second and third scenarios are potential biogas scenarios where biogas is either used as vehicle fuel (Scenario Vehicle) or to produce heat and power (Scenario CHP). All scenarios, and consequently, all cases have been analysed from three different perspectives: Economy, energy, and environment. The environmental perspective was divided into Global Warming Potential (GWP), Acidification Potential (AP), and Eutrophication Potential (EP). The results show, in almost all the systems, that it would be more resource efficient to change the treatment method from Scenario BAU to one of the biogas scenarios. This paper concludes that both the perspective in focus and the case at hand are vital for deciding whether biogas production is the best option to treat industrial organic by-products. The results suggest that the food industry should not be the only actor involved in deciding how to treat its by-products.

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Akbar, Sarah, Taranvir Karir, and Paul Hans. "Does a smartphone application improve medical students and new ENT junior doctors confidence when dealing with ENT clinical scenarios?" Morecambe Bay Medical Journal 8, no. 11 (October 1, 2021): 316–20. http://dx.doi.org/10.48037/mbmj.v8i11.1330.

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Introduction: The development of an electronic ENT application may improve medical students’ and junior doctors’ confidence in approaching common ENT scenarios if they have had little prior experience in this surgical subspeciality. Methods: A cohort of medical students and junior doctors based at Blackpool Victoria Hospital were asked to rate their confidence in approaching five common ENT scenarios before and after being granted access to a locally-developed ENT application. Results: Every participant showed an increase in their confidence score in dealing with each ENT scenario following access to the application. Junior doctors’ confidence scores showed an overall average confidence increase of 148% and medical students demonstrated an increase of 124%. Discussion: ENT smartphone applications have been shown to be successful in increasing medical students’ and junior doctors’ confidence in approaching common ENT clinical scenarios. The provision of such a resource for surgical subspecialties promotes a further step towards a paperless NHS as well as a standardised way of approaching patient care.

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Jamaludin, Najwa Ayuni, Farhan Mohamed, Vei Siang Chan, Mohd Shahrizal Sunar, Ali Selamat, Ondrej Krejcar, and Andres Iglesias. "Answering Why and When?" Journal of Cases on Information Technology 25, no. 1 (June 1, 2023): 1–29. http://dx.doi.org/10.4018/jcit.323799.

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Immersive analytics (IA) is a fast-growing research field that concerns improving and facilitating human sense making and data understanding through an immersive experience. Understanding the suitable application scenario that will benefit from IA enables a shift towards developing effective and meaningful applications. This paper aims to explore tasks and scenarios that can benefit from IA by conducting a systematic review of existing studies and mapping them according to the multi-level typology for abstract visualization tasks, which is also known as the what-why-how framework. The study synthesizes several works to answer the why within the context of multiple levels of specificity. In addition, this study also explores the application domains and IA guiding scenarios to address when scenarios best integrate with IA. Then, the paper discusses the IA evaluation types and research methods to evaluate an IA application that can promote effective user engagement in IA. Finally, the limitations and potential future works are discussed.

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Giebas, Damian, and Rafał Wojszczyk. "Deadlocks Detection in Multithreaded Applications Based on Source Code Analysis." Applied Sciences 10, no. 2 (January 10, 2020): 532. http://dx.doi.org/10.3390/app10020532.

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This paper extends multithreaded application source code model and shows how to using it to detect deadlocks in C language applications. Four known deadlock scenarios from literature can be detected using our model. For every scenario we created theorems and proofs whose fulfillment guarantees the occurrence of deadlocks in multithreaded applications. Paper also contains comparison of multithreaded application source code model and Petri nets and describe advantages and disadvantages both of them.

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Yanmaz, Ozgur, and Umut Asan. "A novel scenario planning approach considering criteria interaction in multi-criteria evaluation: An application to urban mobility." Decision Science Letters 13, no. 2 (2024): 461–70. http://dx.doi.org/10.5267/j.dsl.2024.1.002.

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This study proposes a new scenario planning approach which consists of two main stages: evaluating scenarios under multiple criteria and selecting a manageable number of representative scenarios covering a wide range of future developments. In the evaluation stage, the interaction between criteria has been considered, which offers a significant contribution both to the scenario literature and practice. In the selection stage, a mathematical programming model has been developed to ensure the selection of distinct scenarios with high evaluation values. The approach is applied to an urban mobility system in a metropolitan area. The selected scenarios provide valuable insights into the future of urban mobility, serving as a basis for identifying strategies. The proposed approach does not offer a solution only for scenario planning problems, it can be effectively applied to similar problems in different areas.

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Maeda, Takahiro, Hiroyuki Fujiwara, Toshihiko Hayakawa, Satsuki Shimono, and Sho Akagi. "Cluster Analysis of Long-Period Ground-Motion Simulation Data with Application to Nankai Trough Megathrust Earthquake Scenarios." Journal of Disaster Research 13, no. 2 (March 19, 2018): 254–61. http://dx.doi.org/10.20965/jdr.2018.p0254.

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We developed a clustering method combining principal component analysis and the k-means algorithm, which classifies earthquake scenarios based on the similarity of the spatial distribution of earthquake ground-motion simulation data generated for many earthquake scenarios, and applied it to long-period ground-motion simulation data for Nankai Trough megathrust earthquake scenarios. Values for peak ground velocity and relative velocity response at approximately 80,000 locations in 369 earthquake scenarios were represented by 15 principal components each, and earthquake scenarios were categorized into 30 clusters. In addition, based on clustering results, we determined that extracting relationships between principal components and scenario parameters is possible. Furthermore, by utilizing these relationships, it may be possible to easily estimate the approximate ground-motion distribution from the principal components of arbitrary sets of scenario parameters.

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Tang, Xinhao, and Lingzhong Yu. "Classification of Supply Chain Artificial Intelligence Application Scenarios." Journal of Computing and Electronic Information Management 15, no. 3 (December 26, 2024): 96–99. https://doi.org/10.54097/batrh912.

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The purpose of this paper is to classify and analyze the application scenarios of artificial intelligence in supply chain based on case studies of multinational companies. The paper first introduces the background and development of AI and discusses its current applications in supply chain management. Three main large-scale application areas are proposed, namely supply chain demand forecasting, risk management, and transportation operations planning. Three representative cases from Walmart, HP and UPS are reviewed based on the applied technologies, implemented processes, and advantages and disadvantages. As can be seen, this study contains meaningful recommendations to enhance the use of AI models in other industries and to adapt them to their characteristics. In conclusion, it can be said that AI has great potential to improve supply chain performance and resilience to adversity if conditions are taken into account in practical applications.

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Correia, P. L., and F. Pereira. "Classification of Video Segmentation Application Scenarios." IEEE Transactions on Circuits and Systems for Video Technology 14, no. 5 (May 2004): 735–41. http://dx.doi.org/10.1109/tcsvt.2004.826778.

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Poh, Norman, and Chi Ho Chan. "Generalizing DET Curves Across Application Scenarios." IEEE Transactions on Information Forensics and Security 10, no. 10 (October 2015): 2171–81. http://dx.doi.org/10.1109/tifs.2015.2434320.

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Pan, Zhigeng. "Top 10 application scenarios in Metaverse." Metaverse 4, no. 1 (June 30, 2023): 1. http://dx.doi.org/10.54517/m.v4i1.2202.

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Nazarko, Joanicjusz, and Anna Kononiuk. "THE CRITICAL ANALYSIS OF SCENARIO CONSTRUCTION IN THE POLISH FORESIGHT INITIATIVES." Technological and Economic Development of Economy 19, no. 3 (October 3, 2013): 510–32. http://dx.doi.org/10.3846/20294913.2013.809030.

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The aim of the article is to present the diagnosis of scenario method application in the Polish foresight initiatives. The concept of scenario method, its evolution, the state of the art of the Polish foresight studies and the critical analysis of the application of this method have been presented. From the questionnaire results the authors have identified (i) the approach used in scenario construction, (ii) the most important phases of scenario construction, (iii) the interconnection of scenario method with other methods of scenario construction, (iv) the profile of experts involved in foresight projects, (v) the profile of experts involved in scenario construction, (vi) the application of the triangulation principle in scenario construction, (vii) the application of wild cards in scenario construction and techniques to identify them, (viii) the average time of scenario construction process, (ix) the linkage of scenarios to other documents, (x) the number of scenarios elaborated upon, and (xi) the main difficulties in the process of scenario construction. To achieve article aims there have been used the following research methods: a literature review, the method of critical analysis and logical construction, survey research, the status of Polish foresight projects, interim and final report analysis. The research has been funded by the National Science Centre in Poland within a research project entitled Scenarios in future shaping and anticipation for foresight studies, project number: 4194/B/H03/2011/40.

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Liu, Yu-Ge, and Bin-Feng Tang. "Integrating Convolutional Neural Network and Deep-Q-Network for the Performance Enhancement of Internet of Robotic Things." Journal of Computers 36, no. 1 (February 28, 2025): 285–98. https://doi.org/10.63367/199115992025023601019.

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The Internet of Robotic Things (IoRT) plays an important role in various applications that help to make effective communication circumstances. However, the robots require the proper features about particular scenarios to make a clear decision. In addition, the system’s security, robustness and flexibility are difficult to maintain while analyzing various robotic application-related scenarios. The difficulties are addressed using integrated techniques such as Convolution Neural Networks (CNN) and Deep Q Networks (DQN) to improve the overall robotic performance, such as object identification and abnormal behaviour prediction. Initially, various scenarios of visual information are collected with the help of the camera. The gathered information is processed using a convolution kernel and pooling layer for downsampling and extracting the features. The derived hierarchical features are utilized to observe the scenario and identify the objects. The extracted features are fed into the DQN approach, which utilizes the rewards in the reinforcement learning process to improve decision-making efficiency. The decisions generated are used to fine-tune robotic performance in different applications. Then, the system’s efficiency is evaluated in various real-time application scenarios in which the IoRT system attains high robustness, security, flexibility, and reliability.

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Ari Shandi, Muhammad Genta, Rifki Adhitama, and Amalia Beladinna Arifa. "Application of Long Short Term Memory to Predict Flight Delay on Commercial Flights." Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) 4, no. 3 (June 20, 2020): 447–53. http://dx.doi.org/10.29207/resti.v4i3.1759.

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Delay in airline services, become an unpleasant experience for passengers who experience it. This study aims to build a model that can predict flight delay (departure) using the Long Short Term Memory method and can find out its performance. In this study there are two scenarios that have different ways of preprocessing. Both of these scenarios produce predictions with error values calculated using Root Mean Squared Error (RMSE), respectively from the first to the second scenario namely: 41, 21. Between the two, the second scenario is better than the first scenario due to extreme data deletion ( anomaly) in the second scenario with an error value using RMSE of 0.116.

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Wei, Zhiyuan, Hanchu Zhou, and Rui Zhou. "Risk and Complexity Assessment of Autonomous Vehicle Testing Scenarios." Applied Sciences 14, no. 21 (October 28, 2024): 9866. http://dx.doi.org/10.3390/app14219866.

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Autonomous vehicles (AVs) must fulfill adequate safety requirements before formal application, and performing an effective functional evaluation to verify vehicle safety requires extensive testing in different scenarios. However, it is crucial to rationalize the application of different scenarios to support different testing needs; thus, one of the current challenges limiting the development of AVs is the critical evaluation of scenarios, i.e., the lack of quantitative criteria for scenario design. This study introduces a method using the Spherical Fuzzy-Analytical Network Process (SF-ANP) to evaluate these scenarios, addressing their inherent risks and complexities. The method involves constructing a five-layer model to decompose scenario elements and using SF-ANP to calculate weights based on element interactions. The study evaluates 700 scenarios from the China In-depth Traffic Safety Study–Traffic Accident (CIMSS-TA) database, incorporating fuzzy factors and element weights. Virtual simulation of vehicles in the scenarios was performed using Baidu Apollo, and the performance of the scenarios was assessed by collecting the vehicle test results. The correlation between the obtained alternative safety indicators and the quantitative values confirms the validity and scientific validity of this approach. This will provide valuable guidance for categorizing audiovisual test scenarios and selecting corresponding scenarios to challenge different levels of vehicle functionality. At the same time, it can be used as a design basis to generate a large number of effective scenarios to accelerate the construction of scenario libraries and promote commercialization of AVs.

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Yusuf, Sri Malahayati. "MODEL OF SOIL AND WATER CONSERVATION MEASURES APPLICATION BASED ON DISTRICT SPATIAL PLANNING IN MAMASA WATERSHED, SOUTH SULAWESI." Geoplanning: Journal of Geomatics and Planning 4, no. 2 (October 13, 2017): 263. http://dx.doi.org/10.14710/geoplanning.4.2.263-272.

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Depletion of watershed carrying capacity cannot be omitted from mismanagement of the watershed. The integration between SWAT model and remote sensing data are able to identify, assess, and evaluate watershed problem as well as a tool to apply the mitigation of the problem. The aim of this study was to arrange the scenario of watershed management, and decide the best recommendation of sustainable watershed management of Mamasa Sub Watershed. The best recommendation was decided by hydrology parameters, e.i. surface runoff, sediment, and runoff coefficient. Hydrology characteristics of Mamasa Sub Watershed was analyzed based on land use data of year 2012 and climate data for period of 2010-2012. The scenarios were application of bunch and mulch in slope 1-15%; bunch terrace (scenario 1), mulch and strip grass in slope 15-25% (scenario 2), alley cropping in slope 25-40% (scenario 3), and combination scenario 1, 2, 3 with agroforestry in slope > 40% (scenario4). Surface runoff value of Mamasa Sub Watershed is 581.35 mm, while lateral flow, groundwater flow, runoff coefficient, and sediment yield of 640.72 mm, 228.17 mm, 0.29, and 187.213 ton/ha respectively. Based on the scenarios simulation, the fourth scenario was able to reduce surface runoff and sediment yield of 33.441% and of 51.213%, while the runoff coefficient declined to 0.194. Thereby, the fourth scenario is recommended to be applied in Mamasa Sub Watershed so that the sustainability in the watershed can be achieved.

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Yusuf, Sri Malahayati. "Model of Soil and Water Conservation Measures Application based on District Spatial Planning in Mamasa Watershed, South Sulawesi." Geoplanning: Journal of Geomatics and Planning 4, no. 2 (October 13, 2017): 263. http://dx.doi.org/10.14710/geoplanning.4.2.263-274.

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Zhang, Rui, and Fan Deng. "Research on the Application of Scenario Simulation Teaching Method in Business Negotiation Course." Journal of Education and Educational Research 11, no. 2 (November 15, 2024): 205–8. http://dx.doi.org/10.54097/jkzf1f34.

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Business negotiation is an important part of modern business activities, and business negotiation course is one of the key courses in business education. However, traditional business negotiation teaching methods often fail to effectively cultivate students' practical ability and ability to cope with complex negotiation scenarios. Scenario simulation teaching method is a teaching method that simulates real scenarios, which can effectively improve students' practical ability and coping ability. This paper explores the application of scenario simulation teaching method in business negotiation courses, including its theoretical basis, teaching design, implementation process and effect evaluation.

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Dao, Khoi Nguyen, Nhung Thi Hong Nguyen, and Canh Thanh Truong. "Application of LARS - WG downscaling model for building climate change scenarios in the Srepok watershed." Science and Technology Development Journal 17, no. 2 (June 30, 2014): 108–22. http://dx.doi.org/10.32508/stdj.v17i2.1320.

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There are statistical downscaling methods such as: SDSM, LARS-WG, WGEN…, used to convert information on climate variables from the simulation results of General Circulation Model (GCM) to build climate change scenarios for local region. In this study, we used the LARS-WG model and HadCM3 GCM for two emission scenarios: B1 (low emission scenario) and A1B (medium emission scenario) to generate future scenarios for temperature and precipitation at meteorological stations and rain gauges in the Srepok watershed. The LARS-WG model was calibrated and validated against observed climate data for the period 1980-2009, and the calibrated LARS-WG was then used to generate future climate variables for the 2020s (2011-2030), 2055s (2046-2065), and 2090s (2080-2099). The climate change scenarios suggested that the climate in the study area will become warmer and drier in the future. The results obtained in this study could be useful for policy makers in planning climate change adaptation strategies for the study area.

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Tang, Xiru, and Bin Wang. "Research on The Evaluation of Technology Maturity in Multiple Scenarios for Hydrogen Fuel Cell." E3S Web of Conferences 466 (2023): 01004. http://dx.doi.org/10.1051/e3sconf/202346601004.

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Hydrogen, as an important clean energy source, is one of the key energy pathways for the future. Hydrogen fuel cells serve as the core carrier for the current terminal applications of hydrogen energy. Based on the S-curve evolution principle of the Inventive Problem Solving Theory, this paper establishes a technology maturity evaluation index system for the multi-scenario application of hydrogen fuel cells using the literature patent measurement method. A characteristic matrix for the evaluation index of technology maturity is designed, and the technology maturity of hydrogen fuel cells in two scenarios, namely transportation and building energy supply, in China is evaluated. The research results indicate that the application of hydrogen fuel cells in transportation scenarios in China is in the growth stage, while in building energy supply scenarios, it is still in the infancy stage. These findings contribute to accurately identifying the bottleneck stages of technology and market trends, thereby promoting the rapid development of fuel cell technology in China.

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Mathison, Camilla, Eleanor J. Burke, Gregory Munday, Chris D. Jones, Chris J. Smith, Norman J. Steinert, Andy J. Wiltshire, et al. "A rapid-application emissions-to-impacts tool for scenario assessment: Probabilistic Regional Impacts from Model patterns and Emissions (PRIME)." Geoscientific Model Development 18, no. 5 (March 14, 2025): 1785–808. https://doi.org/10.5194/gmd-18-1785-2025.

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Abstract. Climate policies evolve quickly, and new scenarios designed around these policies are used to illustrate how they impact global mean temperatures using simple climate models (or climate emulators). Simple climate models are extremely efficient, although some can only provide global estimates of climate metrics such as mean surface temperature, CO2 concentration and effective radiative forcing. Within the Intergovernmental Panel on Climate Change (IPCC) framework, understanding of the regional impacts of scenarios that include the most recent science is needed to allow targeted policy decisions to be made quickly. To address this, we present PRIME (Probabilistic Regional Impacts from Model patterns and Emissions), a new flexible probabilistic framework which aims to provide an efficient mechanism to run new scenarios without the significant overheads of larger, more complex Earth system models (ESMs). PRIME provides the capability to include features of the most recent ESM projections, science and scenarios to run ensemble simulations on multi-centennial timescales and include analyses of many key variables that are relevant and important for impact assessments. We use a simple climate model to provide the global temperature response to emissions scenarios. These estimated temperatures are used to scale monthly mean patterns from a large number of CMIP6 ESMs. These patterns provide the inputs to a “weather generator” algorithm and a land surface model. The PRIME system thus generates an end-to-end estimate of the land surface impacts from the emissions scenarios. We test PRIME using known scenarios in the form of the shared socioeconomic pathways (SSPs), to demonstrate that our model reproduces the ESM climate responses to these scenarios. We show results for a range of scenarios: the SSP5–8.5 high-emissions scenario was used to define the patterns, and SSP1–2.6, a mitigation scenario with low emissions, and SSP5–3.4-OS, an overshoot scenario, were used as verification data. PRIME correctly represents the climate response (and spread) for these known scenarios, which gives us confidence our simulation framework will be useful for rapidly providing probabilistic spatially resolved information for novel climate scenarios, thereby substantially reducing the time between new scenarios being released and the availability of regional impact information.

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Hanh, Dong Kim, Dinh Duc Truong, and Kien-Trinh Thi Bui. "Application of Numerical Modeling and GIS for Simulating Inundation Under Dam Failure Scenarios." Civil and Environmental Engineering 20, no. 1 (June 1, 2024): 233–54. http://dx.doi.org/10.2478/cee-2024-0019.

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Abstract Dam failure and unsafe dam reservoirs cause extremely serious flooding and affecting the environment and ecosystem in the downstream area. The study applied numerical modelling (MIKE 11, MIKE 21, MIKE FLOOD) combined with GIS technology to simulate flooding due to the collapse of Dong Be reservoir, Thanh Hoa, Vietnam, with flood scenarios of frequency P=1.5% and P=0.5%. The study calibrated and validated the MIKE FLOOD model for two historic flood events in 2010 and 2017. Assessment results show that they were relatively consistent with flood trace survey data. Inundation results in two scenarios show that the inundation area with the P=0.5% scenario tends to increase compared to the P=1.5% scenario. The evaluation of simulation results for flooding under two scenarios, when overlaid with administrative, population, and construction layers, will help assess the impact of dam failure and establish its consequences.

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Zhang, Jian, Angela Guerrero, and Abdul M. Mouazen. "Simulation of variable-rate manure application under different application scenarios." Soil and Tillage Research 221 (July 2022): 105416. http://dx.doi.org/10.1016/j.still.2022.105416.

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Yu, Bencheng. "Review of the Application Scenarios of Blockchain Technology." Frontiers in Science and Engineering 2, no. 11 (November 22, 2022): 94–99. http://dx.doi.org/10.54691/fse.v2i11.2987.

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Blockchain is a distributed decentralized data structure that forms data blocks in a chronological manner similar to a chain list, and is not tampered with and fafiable. Therefore, blockchain has the characteristics of decentralization, tamper, transparency, security and so on. With the use of digital cryptocurrencies such as Bitcoin and Ethereic coin and the landing of a large number of decentralized applications, the blockchain technology derived from the blockchain is being actively explored in many industries, and this paper will study the development process, technical characteristics, and application scenarios of the blockchain.

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Feng, Yunlong, Changfeng Jing, Jianing Li, and Tao Liang. "Design and Implementation of a Geographic Scenario Computation System Based on Knowledge Base." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVIII-4-2024 (October 21, 2024): 177–82. http://dx.doi.org/10.5194/isprs-archives-xlviii-4-2024-177-2024.

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Abstract. The promotion and expansion of Geographic Information System (GIS) applications have increased the complexity of geocomputation. The concept of a geographic scene, which encompasses both geographic entities and complex spatial interaction relationships, serves as a means of organizing and expressing geographic information. Existing methods of organizing and computing geographic scenes often focus on single geometric elements or single-category objects, neglecting the complexity of the geocomputation process and leading to biased results. To address this issue, this study designs and implements a geographic scenario computation system based on WebGIS to overcome the lack of integration of knowledge elements in traditional geographic scenario computation methods. The system consists of a data management module, a geographic scenario visualization module, and a geographic scenario computation module. It not only realizes the visualization of geographic scenarios but also introduces a knowledge base into the geographic scenario computation process, enabling accurate management of geographic scenarios. This paper uses a farmland scenario in Shandong Province, China, as a case study to verify the effectiveness and feasibility of the system. The application of this system provides new technical support for the computation process of geographic scenarios, promoting the refinement and intelligent development of geographic scenario management. This method can also be applied to similar applications of intelligent sensors and the Internet of Things in the organization and management of sensing information in the future.

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Lin, Dada. "An Examination of the Application Scenarios of Enterprise Wikis." International Journal of Knowledge and Systems Science 3, no. 3 (July 2012): 42–51. http://dx.doi.org/10.4018/jkss.2012070104.

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Multiple companies are already social software enabled. Enterprise wikis are the most frequently used type. The best-known example of a wiki is the online encyclopedia Wikipedia. Using Wikipedia as an example, multiple companies establish an internal wiki encyclopedia. There are also other purposes for which enterprise wikis can be used. Some companies use the wiki as a news portal, discussion platform, or as a project management tool. In research there is still no adequate systematization of the possible uses of wikis. Therefore, this paper examines the different application scenarios of enterprise wikis and to explore application scenario-related motivational factors. To examine the application scenarios of wikis, a qualitative-oriented case study on the internal wiki of the company, T-Systems Multimedia Solutions GmbH was conducted. Also, the Atlassian Confluence based wiki called ‘TeamWeb’ in which was introduced in 2008 and has gradually established itself as a global Intranet. A peculiarity of this is that it is not strictly specified, how the staff work with it. In this way, over time many different application scenarios have been established, and now about 56,000 wiki pages in TeamWeb. These wiki pages were analyzed and categorized to application scenarios. The results are discussed further in the article.

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Paltschik, Mikael. "Scenarios – the art of bringing the future into today’s decision making!" Law and Business 3, no. 1 (January 1, 2023): 12–21. http://dx.doi.org/10.2478/law-2023-0003.

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Abstract For more than half a century scenario planning has been part of the toolbox for many strategic planners. The usefulness of the scenario approach is emphasized in turbulent times, as the ones we are living at present. Besides having proven its role in traditional strategic decision making, scenario planning can create value for a number of different purposes. In this article we briefly describe the history of scenario planning and its application in the field of strategy. Our main contribution is in highlighting other application areas for scenarios, like innovation, leadership, branding etc. Scenarios are in our opinion an excellent method to create appreciation for alternatives. And, at best, they contribute to exploration and learning of strategic territories that the decision maker has not been paying attention to. From “thinking the unthinkable” we now use scenarios to spot opportunities and build road maps to preferable futures. A proper scenario process allows disagreement of potential developments become an asset for the organization, fostering a constructive strategic discussion. And uncertainty becomes a friend, not a risk.

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Fauser, J., N. Sigle, and D. Hertweck. "DATA-BASED APPLICATION SCENARIOS FOR E-SCOOTERS." ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences VIII-4/W1-2021 (September 3, 2021): 41–47. http://dx.doi.org/10.5194/isprs-annals-viii-4-w1-2021-41-2021.

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Abstract. In various German cities free-floating e-scooter sharing is an upcoming trend in e-mobility. Trends such as climate change, urbanization, demographic change, amongst others are arising and forces the society to develop new mobility solutions. Contrasting the more scientifically explored car sharing, the usage patterns and behaviors of e-scooter sharing customers still need to be analyzed. This presumably enables a better addressing of customers as well as adaptions of the business model to increase scooter utilization and therefore the profit of the e-scooter providers. The customer journey is digitally traceable from registration to scooter reservation and the ride itself. These data enable to identifies customer needs and motivations. We analyzed a dataset from 2017 to 2019 of an e-scooter sharing provider operating in a big German city. Based on the datasets we propose a customer clustering that identifies three different customer segments, enabling to draw multiple conclusions for the business development and improving the problem-solution fit of the e-scooter sharing model.

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Lamm, I. L., P. Horton, W. Lehmann, and S. Lillicrap. "Practical application of suspension criteria scenarios: radiotherapy." Radiation Protection Dosimetry 153, no. 2 (November 20, 2012): 179–84. http://dx.doi.org/10.1093/rpd/ncs292.

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Fotr, Jiří, Miroslav Špaček, Ivan Souček, and Emil Vacík. "Scenarios and their application in strategic planning." E+M Ekonomie a Management 17, no. 3 (September 4, 2014): 118–35. http://dx.doi.org/10.15240/tul/001/2014-3-010.

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Yifei, Yuan, and Zhu Longming. "Application scenarios and enabling technologies of 5G." China Communications 11, no. 11 (November 2014): 69–79. http://dx.doi.org/10.1109/cc.2014.7004525.

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Ferreira, Juliano Silveira, Henry Douglas Rodrigues, Arturo A. Gonzalez, Ahmad Nimr, Maximilian Matthé, Dan Zhang, Luciano Leonel Mendes, and Gerhard Fettweis. "GFDM Frame Design for 5G Application Scenarios." Journal of Communication and Information Systems 32, no. 1 (2017): 54–61. http://dx.doi.org/10.14209/jcis.2017.6.

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Mair, Patrick, and Alexander von Eye. "Application scenarios for nonstandard log-linear models." Psychological Methods 12, no. 2 (2007): 139–56. http://dx.doi.org/10.1037/1082-989x.12.2.139.

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Ruiz, Francisco Ogallar, Christian Theis, and Helmut Vincke. "Automatic Importance Biasing in FLUKA: Application Scenarios." EPJ Web of Conferences 302 (2024): 09002. http://dx.doi.org/10.1051/epjconf/202430209002.

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In the context of Monte Carlo simulation, importance biasing is a well-established variance reduction technique. It is typically employed to compensate for particle attenuation and is commonly used in FLUKA simulations. However, implementing importance biasing in a simulation can be a rather time-consuming exercise, especially for complex geometries as it requires the segmentation of solids. This document demonstrates the effectiveness of a newly developed tool designed to automate the implementation of problem specific importance biasing schemes in FLUKA simulations, with a focus on user-friendliness. By minimizing user intervention, the tool significantly reduces the amount of time required to implement the biasing scheme. Additionally, it reduces the risk of potential errors by eliminating the need of geometry modifications and manual attribution of importances. The document briefly outlines the tool and focuses on several examples to illustrate its usage and scope. It is important to mention that it does not aim for fully replacing the traditional region-based FLUKA importance biasing. In the hands of an expert the latter might indeed achieve faster convergence, depending on the problem. Yet, the automated solution’s overall benefits become apparent when considering the time investment required for manual implementation and fine-tuning of importance factors.

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Li, Tong, Jinqiang Chen, and Hongyong Fu. "Application Scenarios based on SDN: An Overview." Journal of Physics: Conference Series 1187, no. 5 (April 2019): 052067. http://dx.doi.org/10.1088/1742-6596/1187/5/052067.

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Montalban, Jon, Liang Zhang, Unai Gil, Yiyan Wu, Itziar Angulo, Khalil Salehian, Sung-Ik Park, et al. "Cloud Transmission: System Performance and Application Scenarios." IEEE Transactions on Broadcasting 60, no. 2 (June 2014): 170–84. http://dx.doi.org/10.1109/tbc.2014.2304153.

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Jeferry, Keith, George Kousiouris, Dimosthenis Kyriazis, Jörn Altmann, Augusto Ciuffoletti, Ilias Maglogiannis, Paolo Nesi, Bojan Suzic, and Zhiming Zhao. "Challenges Emerging from Future Cloud Application Scenarios." Procedia Computer Science 68 (2015): 227–37. http://dx.doi.org/10.1016/j.procs.2015.09.238.

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Beynon-Davies, Paul, and Steve Holmes. "Design breakdowns, scenarios and rapid application development." Information and Software Technology 44, no. 10 (July 2002): 579–92. http://dx.doi.org/10.1016/s0950-5849(02)00078-2.

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Dede, Elif, Zacharia Fadika, Madhusudhan Govindaraju, and Lavanya Ramakrishnan. "Benchmarking MapReduce implementations under different application scenarios." Future Generation Computer Systems 36 (July 2014): 389–99. http://dx.doi.org/10.1016/j.future.2014.01.001.

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Souza, Pedro Soares, Hudson Hubner, Carlos Francisco Simões, Marcos dos Santos, Adilson Vilarinho Terra, Miguel Ângelo Lellis Moreira, Claudio de Souza Rocha Junior, and Victória da Silva Braga. "Application of Prospective Scenarios in Tourism Company." Procedia Computer Science 221 (2023): 161–68. http://dx.doi.org/10.1016/j.procs.2023.07.023.

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Carrasco Ramírez, José Gabriel, and Md mafiqul Islam. "Application of Artificial Intelligence in Practical Scenarios." Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023 2, no. 1 (February 8, 2024): 14–19. http://dx.doi.org/10.60087/jaigs.v2i1.41.

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Artificial Intelligence (AI) stands as a pivotal innovation deeply ingrained in both our daily routines and industrial operations. Its rapid evolution promises transformative impacts across various sectors, from cutting-edge industries to the lives of ordinary individuals. AI constantly updates human experiences, shaping interactions and augmenting capabilities. For instance, contemporary educational institutions leverage AI algorithms for attendance tracking via facial recognition technology. Looking ahead, the advent of autonomous vehicles represents a pinnacle of AI application, where vehicles rely entirely on AI systems for navigation, detecting traffic signals, and navigating roads

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Dinis, Patrícia, and Alberto Rodrigues da Silva. "Application Scenarios for the Learning Objects Pool." JUCS - Journal of Universal Computer Science 15, no. (7) (April 1, 2009): 1455–71. https://doi.org/10.3217/jucs-015-07-1455.

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Learning Objects Repositories are becoming increasingly available on the Internet. Learning Objects Pool (LOP) built around the "stock exchange" metaphor, brings a new concept of Learning Objects Repositories pushing users motivation to produce good LOs as well as increasing the cooperation between users, either by submitting suggestions and comments or rating existing LOs. To achieve such high level of motivation and interest some kind of healthy competition is promoted, assigning credits to users and setting a value cost for each LO. This credit-based system rewards users that collaborate by creating LOs or by adding valuable information. It consequently increases the value of the most popular LOs, and also allows the creation of users and LOs rankings. This paper provides a comprehensive overview of the LOP system and, in particular, describes some application scenarios where, through configuration and parameterization we show the LOP's high levels of versatility.

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Na, Ra, Seung-Hwan Yoo, Sang-Hyun Lee, Jin-Yong Choi, Seung-Oh Hur, Pu Reun Yoon, and Kwang-Soo Kim. "The Application of a Smart Nexus for Agriculture in Korea for Assessing the Holistic Impacts of Climate Change." Sustainability 16, no. 3 (January 23, 2024): 990. http://dx.doi.org/10.3390/su16030990.

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Sustainable development involves maximizing the benefits of development while minimizing its consequent effects on the environment. This study uses a water–energy–food nexus framework, the Smart Nexus for Agriculture in Korea (SNAK), to assess the impact of climate change on sustainable resource management in agriculture. The nexus database applied in this study comprises three individual databases related to resources, interlinkages, and resource management scenarios, which include all variables and scenarios of the framework. Different resource management scenarios were evaluated via investigating the interlinkages between resources and quantifying resource consumption and sustainability. The variable selection and application module uses the interlinkage database to quantitatively model how the production and supply of one resource affects the consumption of other resources. The scenario analysis module involves the identification and application of resource management scenarios based on policies for individual resources and climate change. The sustainability evaluation module links the previous two modules to quantify food production, the consumption of food and energy resources, carbon (CO2) emissions, and land use in each scenario. Finally, resource security and economic benefits were considered when estimating the sustainability index of each scenario. The SNAK platform is anticipated to possess the ability to analyze environmental, social, and economic systems grounded in water, energy, and food. It is believed that the platform can optimize the timing and allocation of agricultural resources, leading to the derivation of optimal management scenarios. Furthermore, the platform will utilize water–energy–food linkage assessments to formulate scenario-based policies addressing food demand, water resource utilization, and energy consumption.

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