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

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Simplified Code in Wolfram Language to Project Objects from Four-Dimensional to Three-Dimensional Euclidian Space

Simplified Code in Wolfram Language to Project Objects from ...

引用

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

作者： Velezmoro-Leon, Ricardo Correa-Erazo, Segundo B. Gonzalez-Creollo, Guillermo C. Ipanaque-Chero, Robert Anto-Mimbela, Luis A. Univ Nacl Piura Urb Miraflores S-N Castilla Piura Peru

ISBN: (纸本)9783031834318;9783031834325

From ancient times, humans have projected objects from three-dimensional Euclidean (3D space) into two-dimensional Euclidean (2D space). The techniques for making such projections have been formalized with the development of descriptive geometry. It was to be expected that similar techniques would be proposed to project objects from four-dimensional space (4D space) to three-dimensional space (3D space). This paper provides simplified codes developed in the Wolfram Language to visualize projections of objects from 4D space onto 3D space. These codes are entirely compatible with the Wolfram Language. They are expected to become valuable tools for the interested reader to project various mathematical objects that inhabit 4D space.

关键词： Projections Wolfram Language Four-dimensional Euclidean space Curves Surfaces Solids Complex Surfaces

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The Sensors and Their Communication Among the Production Activity of Agroindustry Ecosystems 1

引用

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

作者： Pratas, Antonio Tereso, Marco Bento, Fernando Vardasca, Ricardo ISLA Santarem Santarem Portugal Univ Evora VISTA Lab ALGORITMI Evora Portugal ISCTE IUL ISTAR Lisbon Portugal Univ Porto LAETA INEGI Porto Portugal

ISBN: (数字)9783031832079

ISBN: (纸本)9783031832062;9783031832079

The agroindustry sector, and the product production activity in particular, plays an important role in modern economies and population feeding. Digital transformation is happening in almost all areas and this industry is also its object of interest. Despite the adoption of digital technologies in the agroindustry not being new, it is important to reflect in how it can be improved. It is aim of this research to explore and describe a variety of sensors used in the production activity of agroindustry context and for those sensors what kinds of communication systems are available for Internet of Things and the outlining their current challenges. This research is intended to support a further development of a technological framework for intelligent precision agroindustry production. The use of sensorization and communication networks in agroindustry product production and animal husbandry offers several advantages such as driving efficiency, sustainability and productivity. Although some aspects are yet to be addressed to make those contributions more effective.

关键词： Agroindustry sector Communication systems IoT and Sensors

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Interviewing ChatGPT-Generated Personas to Inform Design Decisions 1

引用

8th International Conference on computer-Human Interaction Research and Applications-CHIRA-Annual

作者： Rime, Jemily Anglia Ruskin Univ StoryLab Cambridge England

ISBN: (数字)9783031826337

ISBN: (纸本)9783031826320;9783031826337

This paper uses the example of the development of a new podcast production tool to pinpoint some of the successes and limitations of relying on Large Language Models (LLMs) to assist software developers in User-centred design (UCD) methods. We ask ChatGPT to create 16 personas of podcast creators and answer in character to a set of questions that was asked to 16 human creators to gather design feedback, in order to make a new podcasting tool. From this comparison, we discover that the personas generated are credible, but expose some data-privacy issues, and confirm the skewed, incomplete, nature of ChatGPT's training dataset. We find a correlation between a generated persona and its answers, and that its role-playing could be valuable but lacks the more extreme, or clear-cut opinions, often most helpful when gathering user opinions for development. From the lessons learned through this comparative exercise, we share recommendations regarding the possible uses of LLMs in UCD.

关键词： User-centred design Participatory design AI tools for design

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Message Passing-Based Bayesian Control of a Cart-Pole System 5th

Message Passing-Based Bayesian Control of a Cart-Pole System

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5th International Workshop on Active Inference

作者： Adamiat, Sepideh Kouw, Wouter M. van Erp, Bart de Vries, Bert TU Eindhoven Dept Elect Engn Eindhoven Netherlands Lazy Dynam BV Eindhoven Netherlands

ISBN: (纸本)9783031771378;9783031771385

We describe a Bayesian controller for a cart-pole system, a well-known benchmark in control theory. The cart-pole system is characterized by its nonlinear and underactuated nature, and we further complicate the scenario by (1) assuming that the controller lacks knowledge of sensor noise variance, and (2) imposing bounds on the control signal. Traditional control algorithms often struggle to adapt to uncertainties and constraints. However, the Bayesian framework, particularly the active inference framework, smoothly accommodates these complexities. In the proposed controller, the entire computational process consists of online Bayesian inference. This process is streamlined through a toolbox for fast message passing-based inference in factor graphs. We describe the mechanics of message passing in factor graphs, addressing challenges such as non-linear factors, bounded control, and real-time parameter tracking. The primary objective of this paper is to demonstrate that, with the advancement of the active inference framework and the effectiveness of automated inference toolboxes, Bayesian control emerges as an appealing option for application engineers.

关键词： Active inference Bayesian control Factor graphs Message passing NUV priors Policy estimation

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Epistemic Value Anticipation into the Deep Active Inference Model 5th

Epistemic Value Anticipation into the Deep Active Inference ...

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5th International Workshop on Active Inference

作者： Fedosov, Nikita Voskoboynikov, Alexey Ossadtchi, Alexey Higher Sch Econ Ctr Bioelect Interfaces Moscow Russia Artificial Intelligence Res Inst Moscow Russia

ISBN: (纸本)9783031771378;9783031771385

This article introduces a novel mathematical and computational framework for epistemic value calculation within deep active inference models. We focus on a visual foraging problem in a static environment, using toy and real-world MNIST datasets to explore the drawbacks and advantages of the standard method compared to our proposed approach. Testing with relevant metrics, our approach demonstrates improved results in the considered scenarios.

关键词： Deep Active Inference information Gain Epistemic Value Visual Foraging

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Intelligent Package Registration System Based on Vision and Machine Learning 4th

Intelligent Package Registration System Based on Vision and ...

引用

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

作者： Vilcapoma, Piero Garcia, Ivan Pablo Vasconez, Juan Univ Andres Bello Fac Engn Santiago 7500735 Chile Univ Andres Bello Energy Transformat Ctr Fac Engn Santiago 7500971 Chile

ISBN: (纸本)9783031832093;9783031832109

In recent years, intelligent package registration has been an interesting research topic for different industry areas. In particular, automatic registration based on computer vision methods and product prediction of future requirements are still open research problems. In this work, we developed an intelligent package registration system based on a conveyor belt and a computer vision system able to detect and decode Quick code (QR) information. The computer vision system can detect and decode 6 different QR codes for medicine categories (Loratadine, Ibuprofen, Paracetamol, Omeprazole, Hedillar, and Naproxen). Once the QR code is decoded, the obtained data is uploaded to a data storage registration system in Google Cloud. We conducted experiments to acquire medicine category information for 30 days in a controller environment, and such information was used to train and validate two different supervised machine-learning regression models (linear and polynomial). The proposed models can predict future medical requirements for each category, achieving a Root Mean Square Error (RMSE) of 8.5 for linear regression, and 7.5 for polynomial regression considering the sales for each category. We demonstrated that polynomial regression outperforms linear regression reducing prediction errors up to 15.65%. The system proposed in this work demonstrates the potential of computer vision and machine learning techniques for possible improvements in package registration for pharmaceutical purposes.

关键词： Pharmaceutical Package Registration computer system Machine Learning Quick Response code (QR) Regression

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Is ChatGPT Ready for Indian-Language Speakers? Findings From a Preliminary Mixed Methods Study 15th

Is ChatGPT Ready for Indian-Language Speakers? Findings From...

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

作者： Chaitra, C. R. Upadhyay, Prajna Chakraborty, Dipanjan BITS Pilani Hyderabad Campus Secunderabad India

ISBN: (纸本)9783031808289;9783031808296

Recent developments in Artificial Intelligence (AI) technology, especially Generative AI (GenAI), are helping individuals in content generation and collaborative work, thus enhancing the quality of the work. In this paper, we investigate if ChatGPT, one of the most popular GenAI tools, is ready to cater to the capabilities, expectations and needs of the non-English speaking, emergent users of digital technologies. To understand this space among non-English speakers, we conducted a user study with 15 non-English speakers in the state of Telangana, India. To assess the experience of emergent users using ChatGPT, we set them tasks of querying ChatGPT, and contrasted it with the same tasks on Google, a traditional search engine. We asked them to rate the platforms for ease of use and the understanding of the users' language. We draw insights from the study through user ratings of the interactions and logging user observations during the interactions. We derive a few design recommendations for designers and researchers working on voice-based conversational GenAI tools.

关键词： ChatGPT Google Indian Language

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Blockchain-Based Multi-target Distributed Passive Localization 5th

Blockchain-Based Multi-target Distributed Passive Localizati...

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5th International Conference on Neural Computing for Advanced Applications (NCAA)

作者： Song, Zijian Zhu, Jing Zheng, Hongyuan Nanjing Univ Aeronaut & Astronaut Coll Automat Engn Nanjing 211106 Peoples R China Nanjing Univ Aeronaut & Astronaut Coll Comp Sci & Technol Nanjing 211106 Peoples R China

ISBN: (纸本)9789819770069;9789819770076

This paper investigates the multi-target localization in distributed passive sensor system in terms of blockchain technology. In this distributed framework, each sensor captures and analyzes the angle measurement data of targets locally, and uploads the results onto blockchain network for coordination among nodes. Subsequently, smart contracts automatically associate data obtained from external sensors to establish an estimate of the target location. We deploy a novel position estimation smart contract using Remix on Ganache private blockchain. Meanwhile, we conduct simulations of the Electronic Support Measures (ESM) sensor and Angle of Arrival (AoA) measurement process using Matlab. Finally, Experimental simulations verify the effectiveness and feasibility of the proposed algorithm for target localization in distributed passive sensor networks leveraging blockchain technology.

关键词： Distributed Passive Localization AoA ESM Sensor Blockchain Smart Contracts

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Reflections on Leading and Managing computer science Final Year Projects in a South African Rural University Using Gibb's Framework 53rd

Reflections on Leading and Managing Computer Science Final Y...

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53rd Southern African computer Lecturers Association Meeting

作者： Sibeko, Nombuso Ezeji, Ijeoma Noella Uleanya, Chinaza Adigun, Matthew Univ Zululand ZA-3886 Kwa Dlangezwa South Africa Univ Johannesburg ZA-2092 Johannesburg South Africa

ISBN: (纸本)9783031824777;9783031824784

Sustainability is pivotal in human endeavours and education has played an important role in ensuring the attainment of sustainable development. Experiential learning has been recognised as viable in achieving sustainability in education leading to the promotion of practical experiences and activities. The importance of experiential learning and practical application in higher education cannot be overemphasized, especially in technical fields of study such as computer science. The Final Year Project is one of the ways of making experiential learning possible. The Final Year Project is pivotal in shaping students' academic and professional growth. However, the unique context of reflecting on teaching and learning prompted the study of the adapted methods used in teaching, learning and coordinating the final year projects to aid possible improvements that foster inclusive and impactful learning for students. Through a collaborative self-reflective study of the practices and experiences involved in teaching, learning, and coordinating final year projects by two academic staff, this study employed the use of Gibbs reflective cycle as the guiding methodology to offer insight into the challenges faced, strategies employed, and lessons learned in the context of a rural university in South Africa. The reflections highlight benefits such as enhanced student engagement and problem-solving skills. These insights provide practical strategies for instructors to better support students and improve Final Year Project outcomes, especially in resource-constrained settings.

关键词： Final Year Projects (FYP) Rural University Sustainability Reflective study xperiential learning South Africa

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Design and Evaluation of Data Visualizations in a Smart Agriculture Monitoring System (SAMS) 4th

Design and Evaluation of Data Visualizations in a Smart Agri...

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

作者： Brenes, Jose A. Murillo Quintana, Maria Isabel Sanchez Castillo, Jose Daniel Lopez, Gustavo Marin-Raventos, Gabriela Univ Costa Rica Res Ctr Informat & Commun Technol CITIC San Jose 11501 Costa Rica Univ Costa Rica Grad Program Comp & Informat PPCI San Jose 11501 Costa Rica

ISBN: (纸本)9783031840777;9783031840784

Technological solutions for smart agriculture are essential for enhancing decision-making, especially for small-scale farmers with limited technological proficiency. This study evaluates a data visualization system designed for smart agriculture, focusing on its usability, utility, and user experience. The evaluation involved diverse participants, including farmers and students from the Agronomy, Physics, and Computing disciplines, using standardized questionnaires like the System Usability Scale (SUS) and the User Experience Questionnaire (UEQ). The results indicate strong acceptance and interest in the system, with users appreciating its innovative elements, such as speedometer-style charts and colour-coded thresholds. These visualizations address the limitations of traditional agricultural tools by providing clearer decision-making guidance. This research offers practical insights into designing user-friendly data visualization tools for small-scale farmers. It underscores the importance of intuitive, user-centred visualizations in improving agricultural productivity and provides a foundation for future studies in precision agriculture. The findings highlight the potential of such systems to bridge the gap between complex data and actionable insights, particularly for users with varying levels of technological familiarity.

关键词： Data visualization User experience and usability evaluation Smart agriculture UEQ SUS

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