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检索条件"丛书名=Communications in Computer and Information Science"

共 43670 条记录，以下是1041-1050 订阅

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Quantification of Cherry Production Impact with the Use of Life Cycle Assessment Methodology 5th

Quantification of Cherry Production Impact with the Use of L...

引用

5th 5th Olympus - International Conference on Supply Chain

作者： Spanos, Konstantinos Zapounidis, Konstantinos Galiagousi, Iliana Aidonis, Dimitrios Int Hellen Univ Sch Econ & Business Adm Dept Supply Chain Management Katerini 60100 Greece Pieriki Anaptixiaki SA OLA Pieriki Dev Agcy Katerini 60100 Greece

ISBN: (纸本)9783031693502;9783031693519

This study investigates the environmental impact of cherry production of the "Agios Loukas" Agricultural Cooperative of Rachis Pieria. For the quantification of the impact, the Life Cycle Assessment (LCA) methodology is used. The key objective of the work is to comprehensively document all stages of cherry production and associated processes in order to assess different environmental impacts' indicators. In brief, LCA assesses how the entire life cycle of a product influences the environment. The impact quantification employs the LCArt Simulations Engine, a web application developed under the KYKLOS 4.0 project, funded by the EU Horizon 2020 Programme. The methodology follows ReCipe 2016 v1.03 midpoint (H). Data for the year 2022 were sourced, with actual field data provided by cooperative executives and management. Data collection involved interviews with both the cooperative's scientific staff and its members.

关键词： Agriculture LCA Cherries Environmental impacts ReCipe 2016

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ARoma: Augmented Reality Olfactory Menu Application 1

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15th Indian Conference on Human-computer Interaction Design and Research

作者： Balachandran, Aarav Gupta, Kritika Vohra, Prajna Srivastava, Anmol Indraprastha Inst Informat Technol Delhi IIIT Del Delhi India

ISBN: (数字)9783031808326

ISBN: (纸本)9783031808319;9783031808326

This study aims to explore the integration of Augmented Reality (AR) and olfactory technology to enhance dining experience in restaurants. We present ARoma, an innovative AR olfactory menu application for Indian cuisine which provides users with 3D visualisation of dishes, detailed ingredient and nutritional information, and historical context, as well as an olfaction device to deliver the aroma of the dishes. Our research compares the traditional menu experience with the AR menu and ARoma, aiming to understand how these technologies affect customers' perceptions of food quality, dining enjoyment, and immersion. Our user study involved a sample size of 30 participants, divided into two groups. Group A compared traditional menu experiences with AR menus, while Group B experienced traditional menus followed by ARoma. Using this control group study and mixed-method approach, including quantitative surveys and qualitative interviews, we found that AR menus significantly enhance the dining experience by providing detailed and engaging information. Our findings suggest that AR and olfactory technology can significantly improve customer satisfaction and engagement in the food industry.

关键词： Augmented Reality Olfaction AR-Menu Dining Experience Olfactory devices Scent Dispersion

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Medical Procedures Based on Bayesian Network and Possibilistic Model Checking 42nd

Medical Procedures Based on Bayesian Network and Possibilist...

引用

42nd National Conference on Theoretical computer science

作者： Wen, Ying He, Qing Li, Yongming Shaanxi Normal Univ Sch Math & Stat Xian Shaanxi Peoples R China Shaanxi Normal Univ Sch Comp Sci Xian Shaanxi Peoples R China

ISBN: (纸本)9789819614899;9789819614905

In this paper, we present a method that integrates Bayesian network and generalized possibilistic model checking to improve the accuracy of initial diagnostics and quantify uncertainties in the rehabilitation process. Bayesian network provides probabilistic decision support using data-driven statistical information from various sources. Computational tree logic, combined with generalized possibility measures, effectively manages the uncertainties associated with patient rehabilitation.

关键词： Model checking Bayesian network Generalized possibilistic computation tree logic (GPoCTL) Generalized possibilistic Kripke structure (GPKS)

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Strategies Based on Learning Styles for the Academic Improvement of the UISRAEL Students 1

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4th International Conference on Advanced Research in Technologies information Innovation and Sustainability-ARTIIS-Annual

作者： Urdaneta, Maryory Quintero, Yolvy Albarracin, Wilmer Cortijo, Rene Univ Tecnol Israel Quito 170522 Ecuador

ISBN: (数字)9783031832079

ISBN: (纸本)9783031832062;9783031832079

This article discusses the significance of learning styles in academic improvement, particularly at the Israel Technological University (UISRAEL). It highlights the importance of understanding individual learning styles and how they impact academic success. The article presents various strategies for teaching and learning based on learning styles, emphasizing the need for a balanced approach that incorporates different modalities. It also explores the role of AI in test preparation and the importance of collaboration and feedback in the learning process. The article concludes by emphasizing the need for educators to consider the diverse learning styles of their students and to develop strategies that cater to these differences to ensure successful learning outcomes.

关键词： learning styles learning strategies test ACRA

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A Recommender System for Mining Personalized User Preferences 5th

A Recommender System for Mining Personalized User Preference...

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5th China Intelligent Robotics Academic Conference

作者： Li, Huiying Chen, Fei Wang, Houda Dalian Maritime Univ Dalian 116026 Liaoning Peoples R China

ISBN: (纸本)9789819616138;9789819616145

This study proposed a personalized recommender system based on LLM and explored how to better capture and utilize user preferences to increase recommendation accuracy and explainability. Traditional recommender methods, such as collaborative filtering, content-based, and hybrid approaches, often overlook the relationships between user preference attributes. This study leverages LLM, considers the relationships between user preference attributes, and combines it with a self-attention mechanism to achieve fine-grained scoring of user preferences. The system delved into user preferences through dialog, adjusting the recommendation content in each turn of the dialog. The experimental results demonstrated significant improvements in both the recommendation accuracy and the quality of the generated dialog content. Specifically, on the ReDial dataset, Recall@10 improved by 2.9%, and the informativeness increased by 3%. The study also emphasized the importance of attribute sorting order, further enhancing the system's explainability.

关键词： Personalized recommender LLM User preference Self-attention mechanism

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Data and Models for Sunspots Detection in Solar Images Captured with Smart Telescopes 4th

Data and Models for Sunspots Detection in Solar Images Captu...

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4th International Conference on Advanced Research in Technologies information Innovation and Sustainability-ARTIIS-Annual

作者： Parisot, Olivier Luxembourg Inst Sci & Technol LIST 5 Ave Hauts Fourneaux L-4362 Esch Sur Alzette Luxembourg

ISBN: (纸本)9783031832093;9783031832109

Observing the sun with Electronically Assisted Astronomy allows understanding of solar phenomena, contributes to scientific research, promotes science education, and provides recreational enjoyment, all while requiring strict adherence to safety measures. In this paper, we present an annotated dataset of solar images captured with smart telescopes, and we show how this dataset allows to train Deep Learning YOLOv7 models for the detection of sunspots. Both data and models can be used by the general public to observe sun with contextual information.

关键词： Solar images Sunspots Smart telescopes

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Analysis of the Correct Execution of Free Squats for Injury Prevention: A Genetic Algorithm Approach

Analysis of the Correct Execution of Free Squats for Injury ...

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4th International Conference on Advanced Research in Technologies information Innovation and Sustainability-ARTIIS-Annual

作者： Guzman-Alfaro, Sebastian Rios-Rios, Jose I. Celaya-Padilla, Jose M. Galvan-Tejada, Carlos E. Felix-Castaneda, Angeles O. Soto-Murillo, Manuel A. de Avila-Armenta, Eduardo Mayorga-Ruiz, Pedro E. Acuna-Correa, Andrea Univ Autonoma Zacatecas Unidad Acad Ingn Elect Zacatecas 98000 Zacatecas Mexico

ISBN: (纸本)9783031834349;9783031834356

The lack of training to maximize the patient's physical performance, especially in weightlifting, can cause various types of musculoskeletal injuries. The biomechanical analysis through motion sensors and machine learning algorithms of an exercise as widely used in any sports discipline as the free squat can be a very helpful tool for both beginners and high-performance athletes. This methodology, using Xsens DOT (c) motion sensors which internally contain a gyroscope, records the exercise. With the necessary knowledge, the data is processed using feature extraction with statistical moments, allowing for the classification of the exercise execution with prior knowledge in sports and basic anatomy. Additionally, genetic algorithms are used to select the best variables to create a logistic classification model, achieving good performance. The proposed model obtained an accuracy of 0.7885 in a blind evaluation and an area under the receiver operating characteristic curve (AUC) of 0.74.

关键词： Biomechanical analysis Free Squat Genetics algorithms

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Predictors of Workplace Satisfaction: Working Onsite VersusWorking from Home 4th

Predictors of Workplace Satisfaction: Working Onsite VersusW...

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4th International Conference on Society 5.0

作者： Wittmann, Xinhua Klyushina, Daria Univ Appl Sci & Arts Northwestern Switzerland Sch Business Windisch Switzerland Univ Zurich Fac Econ Business Adm & Informat Zurich Switzerland

ISBN: (纸本)9783031714115;9783031714122

The Covid-19 pandemic has not only taught us about viral infections, but also provided employers with unique opportunities to experiment with different work modes. What leads employees to be more satisfied: working onsite or working from home? The aim of this paper is to elucidate how the work environment impacts workplace satisfaction. In the framework of Herzberg's motivation theory, we define the physical, digital, and social environment as the most important hygiene factors. In our study, we investigate the relationship between these hygiene factors and workplace satisfaction. Based on the survey data from office workers in Switzerland, we identify the predictors of workplace satisfaction for working onsite and working from home respectively. Our statistical analysis shows that the three hygiene factors have a significant positive impact on workplace satisfaction both for working onsite and working from home. Specifically, the workplace design in the context of the physical environment stands out to have the strongest effect on the workplace satisfaction for onsite work. In contrast, for working from home, the software availability in the context of the digital environment exerts the greatest influence on workplace satisfaction. Thus, workplace satisfaction can be maximized by targeted optimization of specific aspects of the work environment depending on the work mode.

关键词： Workplace satisfaction Working onsite Working from home Workplace environment Hygiene factors Physical environment Social environment Digital environment

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Impact of Job Scheduling Policy Changes on User Behaviour and System Response: The Case of the Santos Dumont Supercomputer in Brazil 11th

Impact of Job Scheduling Policy Changes on User Behaviour an...

引用

11th Latin American Conference on High Performance Computing

作者： dos Santos, Joao Pedro M. N. Gomes, Antonio Tadeu A. Lab Nacl Computacao Cientif LNCC Petropolis RJ Brazil

ISBN: (纸本)9783031800832;9783031800849

The highly heterogeneous workloads generated by current scientific and technological research complicate job scheduling in supercomputers, making commercial scheduling tools challenging to be configured effectively. Recent studies have analysed these workloads, but the impact of job scheduling policy changes on both job input and system output variables remains largely unexplored. This paper aims at a methodology for characterising both users' and system's behaviour in response to policy changes. As a case study, we use the Santos Dumont supercomputer at the National Laboratory for Scientific Computing (LNCC) in Brazil;we examine its job accounting records over two years, with a policy change in between them targeting a reduction in waiting times. Key findings of our study include differential impacts of the policy change on jobs with varying waiting times and the utility of grouping users to interpret eventual behavioral changes due to the policy change.

关键词： Job scheduling User behaviour Exploratory analysis

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Assessing Consumers' Embrace of the Internet of Things 5th

Assessing Consumers' Embrace of the Internet of Things

引用

5th 5th Olympus - International Conference on Supply Chain

作者： Kostas, Tassis Dimitris, Folinas Maria, Argyropoulou Rachel, Argyropoulou Soheila, Nemati Hellen Open Univ Patras Greece Int Hellen Univ Thermi Greece Brunel Univ London Uxbridge Middx England Hellen Army Acad Attica Greece

ISBN: (纸本)9783031693502;9783031693519

This research provides the results of an empirical study among Greek consumers on their perception and adoption of Internet of Things (IoT) applications in everyday life. The theoretical framework is based on the Technology Acceptance Model (TAM) to investigate consumers' intention to use IoT applications. The empirical data of this study came from a sample of 814 consumers in Greece via an online survey. The research findings suggest that attitude toward IoT is primarily determined by individuals' innovativeness and only secondarily by the perceived usefulness of the technology. Moreover, future use of IoT depends mainly on performance expectancy. It appears that the success of IoT products depends on appealing to individuals with high perceived technology usefulness, high self-efficacy, and high personal innovativeness. Such consumers are more likely to have high expectations of IoT offerings and consequently intend to use them.

关键词： Internet of Things Industry 4.0 Technology Acceptance Model Consumer Behaviors Behavioral Intention

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