the proceedings contain 108 papers. the special focus in this conference is on computer Science Online. the topics include: Methodology for Solving the Problem of Classification of Professional Orientation Using Encep...
ISBN:
(纸本)9783031705175
the proceedings contain 108 papers. the special focus in this conference is on computer Science Online. the topics include: Methodology for Solving the Problem of Classification of Professional Orientation Using Encephalogram Data;Investigation of the Influence of External Conditions on the Process of Automated Landing of an UAV on a Seismic Sensor Using Technical Vision;methodology for a Business Intelligence Platform by Using Oracle 19C Database Engine and its Limitations;control of the State of Agrocenosis and Soil Environment According to Remote Sensing Data;design of a Web Platform for Smoke and Flood Monitoring in a Data Center Based on the Internet of things (IoT);enhancing Quality of Experience in Omnidirectional Video: Strategies Overview;optimizing 360° Video Delivery: Advancements and Strategic Approaches;identification and Interpretation of Significant Factors Influencing Client Defaults in Microfinance Institutions Using Machine Learning Methods;a Study About Complexity of Social Network;Limitations and Benefits of the ChatGPT for Python Programmers and Its Tools for Evaluation;Security Testing in IEEE 802.11 Wireless networks;technology Transfer in the Field of Additive Medical Technologies Based on Patent Informatics Research;personnel Privacy and Organisational Data: the Awareness and Policy Enforcement for Smartphone Security Among the Malaysian Armed Forces Personnel;Forensic Analysis of Cyber Attacks Using the Cyber Kill Chain Model to Enhance Antivirus Protection in an IT Solutions Company;integral Assessment of Cryptocurrency Quality;proposed Model for the Detection of Diabetic Retinopathy Using Convolutional Neural networks;proposed Ransomware Detection Model Based on Machine Learning;unbiasing on the Fly: Explanation-Guided Human Oversight of Machine Learning Decisions;Analyzing Nonlinear Behavior Sequences through ASM.
the objective of this research is to determine the potential of scope 3 supply chain emissions generated by end user computers within the United Kingdom government and to test current scope 2 calculation methods to im...
详细信息
the objective of this research is to determine the potential of scope 3 supply chain emissions generated by end user computers within the United Kingdom government and to test current scope 2 calculation methods to improve annual reporting procedures. the supply chain analysis is accomplished by using existing asset profile data to determine the number of devices owned by computer type combined with manufacturer scope 3 product emissions data averages by type. In this example, 2.2 million computing devices are examined and found to produce emissions in excess of 623.45m kgCO(2)e. By suggesting devices are retained beyond the current 5-year periods, it is determined to be feasible that this value could be reduced by 37.5%. Additionally, by selecting devices withthe lowest carbon footprint in the future when computers require replacement an estimated total reduction of 65% is achievable. the scope 2 emissions calculation compares the current methodology used to generate kWh/y values and concomitant greenhouse gas emissions to results generated by field measurement using the commercial typical energy consumption methodology. the results substantiate that the government is currently over reporting scope 2 emissions values by as much as 697% due to owned but not used devices being included in the calculation and fixed electricity consumption data used by the current methodology being too high when compared to actual use. As such, the findings are presented to the government and included as recommendations in the latest national sustainable information and communications technology strategy document.
the proceedings contain 108 papers. the special focus in this conference is on computer Science Online. the topics include: Methodology for Solving the Problem of Classification of Professional Orientation Using Encep...
ISBN:
(纸本)9783031702846
the proceedings contain 108 papers. the special focus in this conference is on computer Science Online. the topics include: Methodology for Solving the Problem of Classification of Professional Orientation Using Encephalogram Data;Investigation of the Influence of External Conditions on the Process of Automated Landing of an UAV on a Seismic Sensor Using Technical Vision;methodology for a Business Intelligence Platform by Using Oracle 19C Database Engine and its Limitations;control of the State of Agrocenosis and Soil Environment According to Remote Sensing Data;design of a Web Platform for Smoke and Flood Monitoring in a Data Center Based on the Internet of things (IoT);enhancing Quality of Experience in Omnidirectional Video: Strategies Overview;optimizing 360° Video Delivery: Advancements and Strategic Approaches;identification and Interpretation of Significant Factors Influencing Client Defaults in Microfinance Institutions Using Machine Learning Methods;a Study About Complexity of Social Network;Limitations and Benefits of the ChatGPT for Python Programmers and Its Tools for Evaluation;Security Testing in IEEE 802.11 Wireless networks;technology Transfer in the Field of Additive Medical Technologies Based on Patent Informatics Research;personnel Privacy and Organisational Data: the Awareness and Policy Enforcement for Smartphone Security Among the Malaysian Armed Forces Personnel;Forensic Analysis of Cyber Attacks Using the Cyber Kill Chain Model to Enhance Antivirus Protection in an IT Solutions Company;integral Assessment of Cryptocurrency Quality;proposed Model for the Detection of Diabetic Retinopathy Using Convolutional Neural networks;proposed Ransomware Detection Model Based on Machine Learning;unbiasing on the Fly: Explanation-Guided Human Oversight of Machine Learning Decisions;Analyzing Nonlinear Behavior Sequences through ASM.
this paper explores the complexities of task offloading in a dynamic fog computing network, where multihop Internet of things (IoT) access points (APs) support the connectivity between IoT devices and fog computing no...
详细信息
the data collected in industrial production processes often exhibit highly nonlinear, non-normal, and heteroscedastic characteristics. these traits result in the limited effectiveness of traditional industrial process...
详细信息
Religion and spirituality (R/S) are an important part of many people's lives, and while HCI is increasingly engaged in research and design in specific R/S contexts, there are many cases where researchers or design...
详细信息
ISBN:
(纸本)9798400709654
Religion and spirituality (R/S) are an important part of many people's lives, and while HCI is increasingly engaged in research and design in specific R/S contexts, there are many cases where researchers or designers encounter R/S outside of such contexts. In this workshop, we seek to bring together HCI researchers and designers across all research areas and with varying levels of experience with R/S to discuss encounters with R/S in their work, either intentional or not, and to develop principles and strategies to guide HCI research and design that intersects with R/S. through this workshop, we also seek to further establish a network of scholars who can provide each other support in navigating R/S-related challenges and opportunities in their work and can participate in publication-oriented collaborations that consider the intersection of R/S and HCI.
Although Virtual Reality (VR) has undoubtedly improved human interaction with 3D data, users still face difficulties retaining important details of complex digital objects in preparation for physical tasks. To address...
详细信息
ISBN:
(纸本)9798400709661
Although Virtual Reality (VR) has undoubtedly improved human interaction with 3D data, users still face difficulties retaining important details of complex digital objects in preparation for physical tasks. To address this issue, we evaluated the potential of visuohaptic integration to improve the memorability of virtual objects in immersive visualizations. In a user study (N=20), participants performed a delayed match-to-sample task where they memorized stimuli of visual, haptic, or visuohaptic encoding conditions. We assessed performance differences between these encoding modalities through error rates and response times. We found that visuohaptic encoding significantly improved memorization accuracy compared to unimodal visual and haptic conditions. Our analysis indicates that integrating haptics into immersive visualizations enhances the memorability of digital objects. We discuss its implications for the optimal encoding design in VR applications that assist professionals who need to memorize and recall virtual objects in their daily work.
the article presents an approach to automating the processes of controlling the parameters of floating docks at the local and remote level. the hierarchical functional structure and hardware and software of the remote...
详细信息
Buildings consume a significant portion of a nation's total energy, accounting for about 70 percent of electricity use in the US. Predicting building energy demand accurately is crucial for utilities to ensure eff...
详细信息
Stroke has become the leading cause of high mortality and disability rates in the modern era. Early detection and prediction of stroke can significantly improve patient outcomes. In this study, we propose a deep learn...
详细信息
暂无评论