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检索条件"丛书名=Lecture Notes in Networks and Systems"

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Hammering Test for Tile Wall Using AI 1

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19th International Conference on Dependability of Computer systems (DepCoS-RELCOMEX)

作者： Ito, Atsushi Ito, Yuma Koike, Masafumi Hibino, Katsuhiko Chuo Univ 742-1 Higashi Nakano Tokyo 1920351 Japan Utsunomiya Univ 7-1-2 Yoto Utsunomiya Tochigi 3218585 Japan PORT DENSHI Corp 5-8-2 Miyanishi Fuchu Tokyo 1830022 Japan

ISBN: (数字)9783031618574

ISBN: (纸本)9783031618567;9783031618574

Social infrastructure, such as bridges and tunnels, is extremely important for economic activities. Among inspection services, it is possible to inspect abnormal areas that cannot be visually observed, such as the interior of concrete walls, by using sound changes caused by hammering. In this inspection, called hammering test, the detection of abnormal sounds depends on the sensory perception of the person performing the hammering test, and the results may differ from one inspector to another. In addition, since the hammering is performed manually, there is the problem that it takes time to perform a wide range of inspections and that the supply of inspections themselves cannot keep up due to the retirement of skilled inspectors. Therefore, this paper describes a hammering test system that uses artificial intelligence to analyze and judge hammering sounds, enabling even unskilled workers to judge abnormal areas. Furthermore, the effectiveness of AI-based sound inspection for adhesive-applied tile walls, which is currently the mainstream, will be discussed.

关键词： Hammering test Non-destructive testing Adhesive-applied tile wall Deep Learning

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HoLLiE C-A Multifunctional Bimanual Mobile Robot Supporting Versatile Care Applications 18th

HoLLiE C-A Multifunctional Bimanual Mobile Robot Supporting ...

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18th International Conference on Intelligent Autonomous systems (IAS)

作者： Steffen, Lea Schulze, Martin Eichmann, Christian Koch, Robin Hermann, Andreas Mussulin, Rosa Frietsch Graaf, Friedrich Wilbrandt, Robert Besselmann, Marvin Grosse Roennau, Arne Dillmann, Ruediger FZI Res Ctr Informat Technol Karlsruhe Germany ArtiMinds Robot Karlsruhe Germany

ISBN: (纸本)9783031449802;9783031449819

Care robotics as a research field has developed a lot in recent years, driven by the rapidly increasing need for it. However, these technologies are mostly limited to a very concrete and usually relatively simple use case. The bimanual robot House of Living Labs intelligent Escort (HoLLiE) includes an omnidirectional mobile platform. This paper presents how HoLLiE is adapted, by flexible software and hardware modules, for different care applications. The design goal of HoLLiE was to be human-like but abstract enough to ensure a high level of acceptance, which is very advantageous for its use in hospitals. After a short retrospect of previous generations of HoLLiE, it is highlighted how the current version is equipped with a variety of additional sensors and actuators to allow a wide range of possible applications. Then, the software stack of HoLLiE is depicted, with a focus on navigation and force-sensitive intention recognition.

关键词： Service robot Care/nursing Bimanual Omnidirectional Multi-purpose

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The Application of Dilo (A Day in the Life of) Analysis Method into Lean Kaizen Programme in Working Conditions of Manufacturing Company 10th

The Application of Dilo (A Day in the Life of) Analysis Meth...

引用

International Conference on New Technologies, Development and Application - Advanced Production Processes and Intelligent systems

作者： Alagic, Ismar Int Univ Sarajevo Hrasnieka Cesta 15 Ilidza Sarajevo 71210 Bosnia & Herceg Univ Zenica Fac Mech Engn Fak 1 Zenica 72000 Bosnia & Herceg

ISBN: (纸本)9783031662676;9783031662683

Lean principles (value, current value, currents, withdrawal and perfection) have changed the behaviour of the participants in the work processes and created working environment in which the routing operation is performed on the process of labour, the elimination of losses in the process of work, continuous training of employees at all organizational levels in order to achieve shorter delivery times and cost competitive products. In this way, the companies have introduced the Lean concept in response to the activities known as the Japanese term "muda" that consumes resources, rather than creating value. In this article the application of analysis method called DILO (a Day In Life Of) through Lean Kaizen prograame in domestic metalworking company is presented. It is a tool which helps company to identify the non-value added (NVA) activities and time during one working day. The final goal will be to eliminate NVA activities and replace them with VA activities. DILO is a method which maps individual activities, almost minute by minute, and record them in categories.

关键词： Lean Manufacturing DILO (A Day in the Life of) NVA (Non Value Added) activity VA (Value Added) activity RNVA (Necessary Requested Non Value Added) activity Processing industry

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Dynamical Behavior of the Fractional Goldbeter-Lefever Model 10th

Dynamical Behavior of the Fractional Goldbeter-Lefever Model

引用

International Conference on New Technologies, Development and Application - Advanced Production Processes and Intelligent systems

作者： Belmahi, Naziha Mesdoui, Fatiha Formato, Andrea Cattani, Piercarlo Villecco, Francesco Univ Sci & Technol Mohammed Boudiaf Dept Math Oran Algeria Mohamed Sedd Ben Yahia Univ Dept Math Jijel Algeria Univ Salerno Dept Pharm I-84084 Salerno Italy Univ Roma La Sapienza Dept Comp Control & Management Engn Via Ariosto 25 I-00185 Rome Italy Univ Salerno Dept Ind Engn Via Giovanni Paolo II132 I-84084 Salerno Italy

ISBN: (纸本)9783031662676;9783031662683

Due to the importance of the historical memory in the analysis of a class of dynamical systems, weintroduce in this paper a time fractional-order derivative into the Goldbeter-Lefever model, which is a generalized form of its corresponding first-derivative model. For this system, we investigate the local stability of the proposed system, and we discuss the Hopf bifurcation. Some numerical simulations are performed to confirm the analytical obtained results.

关键词： Goldbeter-Lefever model fractional derivative stability Hopf bifurcation

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Generative AI in Writing Research Papers: A New Type of Algorithmic Bias and Uncertainty in Scholarly Work

Generative AI in Writing Research Papers: A New Type of Algo...

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Intelligent systems Conference

作者： Jain, Rishab Jain, Aditya Harvard Univ Cambridge MA 02138 USA Massachusetts Gen Hosp Dept Neurosurg Boston MA 02114 USA Harvard Med Sch Boston MA 02115 USA

ISBN: (纸本)9783031663284;9783031663291

The use of artificial intelligence (AI) in research across all disciplines is becoming ubiquitous. However, this ubiquity is largely driven by hyperspecific AI models developed during scientific studies for accomplishing a well-defined, data-dense task. These AI models introduce apparent, human-recognizable biases because they are trained with finite, specific data sets and parameters. However, the efficacy of using large language models (LLMs)-and LLM-powered generative AI tools, such as ChatGPT-to assist the research process is currently indeterminate. These generative AI tools, trained on general and imperceptibly large datasets along with human feedback, present challenges in identifying and addressing biases. Furthermore, these models are susceptible to goal misgeneralization, hallucinations, and adversarial attacks such as red teaming prompts-which can be unintentionally performed by human researchers, resulting in harmful outputs. These outputs are reinforced in research-where an increasing number of individuals have begun to use generative AI to compose manuscripts. Efforts into AI interpretability lag behind development, and the implicit variations that occur when prompting and providing context to a chatbot introduce uncertainty and irreproducibility. We thereby find that incorporating generative AI in the process of writing research manuscripts introduces a new type of context-induced algorithmic bias and has unintended side effects that are largely detrimental to academia, knowledge production, and communicating research.

关键词： ChatGPT Generative AI Academic writing Algorithmic bias Large language models AI interpretability Algorithmic transparency XAI Red teaming

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The Use of Augmented Reality Tools in Marketing: Opportunities and Limitations in the Latvian Market 1

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9th International Congress on Information and Communication Technology (ICICT)

作者： Salkovska, Jelena Batraga, Anda Kaibe, Liene Minskere, Laura Kellerte, Katrina Univ Latvia Riga Latvia

ISBN: (数字)9789819735624

ISBN: (纸本)9789819735617;9789819735624

As augmented reality (AR) technology matures, the intrigue of digital marketers and researchers towards its potential grows in parallel. There is a growing need to understand how augmented reality can revolutionise the digital marketing sphere, enhancing both promotional ventures and consumer experiences. The objective of this research is to explore, evaluate, and analyse the prospects of integrating augmented reality in the digital marketing strategies of Latvian firms. This is based on theoretical understandings of AR's role in digital marketing, combined with insights from expert interviews. Research methods: To fulfil the research objectives, a descriptive analysis and expert interviews were conducted. Results: Augmented reality offers businesses multiple advantages, from innovative marketing techniques to entertainment-oriented customer engagements. Yet, in Latvia, the adoption of AR in marketing remains limited. Many companies express uncertainty regarding the incorporation of AR into their forthcoming digital marketing strategies, which is argued by marketing professionals with the cost of implementing AR technologies and also the luck of knowing how to implement AR.

关键词： Augmented reality Marketing communication Consumer purchase decision-making process Consumer behaviour

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Machine Learning Models for Salary Prediction in Peruvian Teachers of Regular Basic Education 13th

Machine Learning Models for Salary Prediction in Peruvian Te...

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13th Computer Science Online Conference

作者： Ramos Jose, Tinoco Arellano Jhoset, Yupanqui Soria, Juan J. Saboya, Nemias Univ Peruana Union Escuela Profes Ingn Sistemas Lima Peru

ISBN: (纸本)9783031705175;9783031705182

This paper presents an analysis of machine learning (ML) models to predict the salaries of 108,317 appointed teachers in Ventanilla, Lima, Peru, using recent data. The focal point of the study is appointed teachers, deliberately excluding salaries of hired teachers' from the analysis. A significant result of this research is the identification of a new ML model capable of predicting teacher salaries with considerable accuracy, based on regressor variables closely related to salary. This finding is noteworthy because it fills a gap in existing ML applications for salary prediction, indicating a promising direction for future research in this area. The methodology used to analyze the wage data, while comprehensive, does not account for gender differences, which may affect wage variation over the five-year period considered. This oversight suggests that future research should include a wider range of variables, including gender, to improve the accuracy and applicability of salary predictions for both appointed and contract faculty. Such an approach could provide more nuanced information on the factors influencing teacher salaries and help develop more equitable and effective salary models. One of the key contributions of the article is the detailed examination of the factors influencing salaries of appointed teachers, including age, educational level, length of service, teaching scale, and hours worked. The use of linear regression, Ridge, Lasso, and Elastic Net models yielded accurate metrics for choosing the best model for salary prediction. This research not only advances our understanding of the determinants of teacher salaries in Peru, but also provides a valuable framework for similar studies in other contexts. Comparison with other research highlights the robustness of the chosen ML models, underscoring the potential of ML in educational administration and policymaking.

关键词： Regularization Machine learning Teaching Salary Lasso Ridge Elastic net

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Using Traffic Sequence Charts for Knowledge Formalization and AI-Application

Using Traffic Sequence Charts for Knowledge Formalization an...

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Intelligent systems Conference

作者： Borchers, Philipp Hagemann, Willem Grundt, Dominik Werner, Tino Mueller, Julian German Aerosp Ctr DLR Inst Syst Engn Future Mobil Escherweg 2 D-26129 Oldenburg Germany Fraunhofer Res Inst Energy Infrastruct & Geotherm Gulbener Str 23 D-03046 Cottbus Germany

ISBN: (纸本)9783031664274;9783031664281

In recent years, the integration of knowledge into AI training processes has been shown as a promising approach to improve AI performance, training costs and resource efficiency. Here, the formalization of knowledge is a key challenge. In this article, we discuss the capabilities of the visual yet formal specification language called Traffic Sequence Charts (TSC) on formalizing multimodal knowledge, in particular procedural knowledge about traffic maneuvers. Finally, we present an approach using the formalized knowledge to train reinforcement learning (RL) agents, aiming to transform the descriptive knowledge on traffic maneuvers in TSCs into performative knowledge in AI traffic agents. To this end, we were able to train an agent to control a vehicle through a pass-by maneuver and apply it successfully to an untrained overtaking maneuver.

关键词： Knowledge formalization Reinforcement learning Traffic scenarios Abstract scenario specification

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Fixed-Time Disturbance Observer-Based Adaptive Super Twisting Control for MPPT Tracking of Wind Energy Conversion System 4th

Fixed-Time Disturbance Observer-Based Adaptive Super Twistin...

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4th International Conference on Digital Technologies and Applications (ICDTA)

作者： Makhad, Mohamed Loulijat, Azeddine Hila, Abdelilah El Marghichi, Mouncef Mohammed V Univ Rabat Dept Elect Engn ENSAM Rabat Morocco Hassan First Univ Fac Sci & Technol Settat Morocco Moulay Ismail Univ Meknes Morocco Abdelmalek Essaadi Univ Fac Sci Intelligent Syst Design Lab Tetouan Morocco

ISBN: (纸本)9783031686528;9783031686535

In this paper, a control scheme based on adaptive super twisting controller (ASTC) combined with a fixed-time disturbance observer (FTDO) is proposed for a wind energy conversion system (WECS) based on a permanentmagnet synchronous generator (PMSG). The main objective of this controller is to track the maximum power point (MPPT) and ensure that the system operates with good performance despite the presence of known and unknown external disturbances. Firstly, the ASTC control is designed to perform optimal speed tracking ofWECS based on PMSG without a priori information on the upper limit of system disturbances and uncertainties. Secondly, a fixed-time torque observer is designed to estimate aerodynamic torque without any additional sensors. Finally, simulation in the MATLAB/Simulink environment is carried out to validate the effectiveness and robustness of the proposed controller. Simulation results indicate that the ASTC-FTDO control offers a good tradeoff between extreme robustness, MPPT operation accuracy and low chattering effect.

关键词： WECS Adaptive Super Twisting Control Fixed-Time Disturbance Observer

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Research on Geometry-Based Algorithm to Avoid Collisions with Pedestrians for Autonomous Vehicles 7th

Research on Geometry-Based Algorithm to Avoid Collisions wit...

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7th International Conference on Green Technology and Sustainable Development

作者： Tuan-Anh Le Trung-Hieu Pham Van-Ho Tran Van-Binh Nguyen My-Ha Le HCMC Univ Technol & Educ ISLab Ho Chi Minh City Vietnam Thu Dau Mot Univ Thu Dau Mot City Binh Duong Prov Vietnam

ISBN: (纸本)9783031761966;9783031761973

Autonomous cars have become increasingly popular in recent years. There are many issues associated with autonomous vehicles, among which collision avoidance with pedestrians is a crucial concern. Regarding humans, ensuring safety requires both processing speed and accuracy. This paper introduces an algorithm that uses only a camera to detect lane lines and avoid pedestrians. The main contribution of this paper is based on geometry, which determines whether a pedestrian is crossing the street or not and calculates the steering wheel to avoid pedestrians based on math. The algorithm is divided into four stages. In the first stage, YOLOV7 was utilized to detect pedestrians. In the second stage, Sort was used to track people. In the third stage, PIDNet is deployed to determine the lane for autonomous vehicles and to ascertain whether a pedestrian is crossing the street, leveraging geometric analysis. In the last stage of the method, the steering to avoid a pedestrian collision was calculated. Finally, the algorithm conducted experiments on golf cars in an outdoor environment, achieving the results with high accuracy. The demo video is attached: https://***/drive/folders/1fyf8_3ig1RAhW1ItK5icGdBCph_GT5OI?usp=sharing.

关键词： Autonomous car collision avoidance system pedestrians safety

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