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Finding Hamiltonian Cycles in Circular Intuitionistic Fuzzy Graphs 1

引用

International Conference on Intelligent and Fuzzy systems (INFUS)

作者： Traneva, Velichka Tranev, Stoyan Todorov, Venelin Prof Asen Zlatarov Univ Prof Yakimov Blvd Burgas 8000 Bulgaria Bulgarian Acad Sci Inst Math & Informat Acad Georgi Bonchev Str Sofia 1113 Bulgaria Bulgarian Acad Sci Inst Informat & Commun Technol Acad Georgi Bonchev Str Sofia 1113 Bulgaria

ISBN: (数字)9783031700187

ISBN: (纸本)9783031700170;9783031700187

Finding a Hamiltonian cycle in a graph is an essential challenge in an uncertain context, and there are several approaches available for this. By combining Atanassov's circular intuitionistic fuzzy sets (C-IFSs) and index matrices (IMs), this work presents a novel methodology. In particular, we suggest using an index-matrix approach to find the Circular Intuitionistic Fuzzy Hamiltonian Cycle (C-IFHC), which is a Hamiltonian cycle in a Circular Intuitionistic Fuzzy graph (C-IFG). The C-IFHC algorithm builds upon existing approaches for finding an Intuitionistic Fuzzy Hamiltonian Cycle (IFHC) in an Intuitionistic Fuzzy Graph (IFG). To showcase its practical applicability, we employ the C-IFHC algorithm to discover a Hamiltonian cycle in a real-world context involving the Ryanair airline network. This paper also introduces the concept of a circular extended intuitionistic fuzzy index matrix (C-EIFIM) and elucidates various operations associated with C-EIFIMs.

关键词： Circular Intuitionistic Fuzzy Sets Index Matrix Hamiltonian cycle

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Experimental Analysis of Robot Base Frame Identification Methods 6th

Experimental Analysis of Robot Base Frame Identification Met...

引用

6th Iberian Robotics Conference (Robot)

作者： Selingue, Maxime Olabi, Adel Thiery, Stephane Bearee, Richard Arts & Metiers Inst Technol LISPEN Lille France

ISBN: (纸本)9783031586750;9783031586767

For many industrial applications (e.g. machining, drilling, pick-and-place, etc.), robot's poor absolute accuracy has to be enhanced through calibration processes. These processes involve measurement devices, mostly Laser Trackers, which measure the position of a Spherical Mounted Reflector, usually attached on the flange of the robot, in a virtual measurement frame associated with the Laser Tracker. However, calibration processes require to know the position of the flange of the robot in the robot's base frame. Thus, there is a need for robot base frame identification methods. The objective of this paper is to provide both qualitative and quantitative elements to determine which method is the most suitable for robot calibration. Five different methods are discussed, and based on a qualitative analysis, three of them are experimentally compared, both on repeatability of the method and accuracy.

关键词： Industrial robot Accuracy Calibration Measurement

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Emotion-Aware Chatbots: Understanding, Reacting and Adapting to Human Emotions in Text Conversations 1

引用

15th International Conference on Autonomous systems

作者： Kossack, Philip Unger, Herwig Fernuniv Chair Commun Networks Univ Str 47 D-58097 Hagen Germany

ISBN: (数字)9783031614187

ISBN: (纸本)9783031614170;9783031614187

Chatbots and virtual assistants have revolutionized human-computer interaction. As these digital entities become integral to our lives, there's a pressing need to infuse them with emotional awareness. Emotion-aware chatbots, capable of understanding and responding to human emotions and thereby adapting their own personality, hold the promise of enhancing user experiences across various domains. However, the research in this field is scattered across disciplines, making it challenging to navigate. This survey consolidates diverse research findings, providing an overview of emotion-aware chatbots' current state and future directions. It covers foundational concepts, the significance of emotional intelligence, various AI techniques, research methodology, and approaches to emotional awareness. This survey sets the stage for future research in this exciting field, fostering the development of more emotionally intelligent chatbot systems.

关键词： Human computer interaction

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Analysis of the Effectiveness of Neural networks with Different Configurations 9th

Analysis of the Effectiveness of Neural Networks with Differ...

引用

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

作者： Degtyareva, Ksenia Borodulin, Aleksey Gantimurov, Andrei Kukartsev, Vladislav Mikhalev, Anton Reshetnev Siberian State Univ Sci & Technol Krasnoyarsk 660037 Russia Bauman Moscow State Tech Univ Moscow 105005 Russia Siberian Fed Univ Krasnoyarsk 660041 Russia

ISBN: (纸本)9789819735617;9789819735624

In the dynamic landscape of contemporary organisations, employee retention emerges as a pivotal factor for stability and successful development. This study focuses on the application of neural networks to analyse factors influencing employees' decisions to stay or leave a company. Utilising an anonymized dataset encompassing education, work experience, demographics, and employment history, various neural network configurations were explored, adjusting the number of layers and neurons while maintaining consistent parameters like sigmoid activation function and Resilient Propagation algorithm. The research revealed a noteworthy trend: an increase in the number of neurons enhances model performance, yet saturation occurs beyond a certain point. The model with a single hidden layer and 64 neurons exhibited optimal results, striking a balance between model complexity and prevention of overfitting. Beyond model error, crucial steps like cross-validation and optimal hyperparameter tuning are discussed to ensure a robust analysis. The study concludes by providing a foundation for future work in employee attrition prediction, emphasising the significance of a unified approach for model comparison.

关键词： Neural networks Machine learning Data analysis Model configuration Activation function Resilient Propagation Parameter optimisation

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Location Jamming of Radar Waves Using Software-Defined Radio 8th

Location Jamming of Radar Waves Using Software-Defined Radio

引用

8th Smart Trends in Computing and Communications (SmartCom)

作者： Khasnobis, Aritra Bhushan, Kriti Natl Inst Technol Kurukshetra Haryana India

ISBN: (纸本)9789819713196;9789819713202

Nowadays, radar plays a key role in the world of warfare. The detection of critical military assets of the enemy is a must nowadays in modern warfare in order to cripple the enemy. However, the use of radar and electronic warfare (EW) in general has also given rise to Electronic Countermeasures (ECMs) or jamming to counter radar detection and protect these assets. One such method involves deceiving the non-cooperative source (NCS) by sending pulses so as to obscure the location of the targeted asset. In this paper, we propose using Software-Defined Radio (SDR) technology to first detect radar signals of the NCS, estimate the range of the source, and calculate the angle of impact of the radar on the listening antenna to estimate the position of the NCS. Once we get the mentioned factors, the SDR will transmit pulse waves to estimated location of the NCS and attempt to provide false information regarding the location of the intended target.

关键词： Electronic warfare (EW) Jamming Software-Defined Radio (SDR)

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Advanced Demand Forecasting and Pricing in Moroccan Auto Industry: A CNN-LSTM-Attention and Reinforcement Learning Approach 4th

Advanced Demand Forecasting and Pricing in Moroccan Auto Ind...

引用

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

作者： Amellal, Asmae Amellal, Issam Ech-charrat, Mohammed Rida Abdelmalek Essaadi Univ ENSA Tetouan Tetouan Morocco Hassan 1st Univ ENSA Berrechid Settat Morocco

ISBN: (纸本)9783031686528;9783031686535

This paper presents a novel forecasting model that combines Convolutional Neural Network-Long Short-Term Memory with an Attention mechanism (CNN-LSTM-Attention) and Reinforcement Learning (RL) to enhance impressive utilization in forecasting accuracy on demand for pricing optimization within auto parts industry in Morocco. The performance of the model was determined using Mean Squared Error (MSE) and R-squared (R-2) as evaluation measures for prediction of demand accuracy while "Average Reward per Episode" was applied to measure how well pricing strategy works. The Application Programming Interface (API) utilized CNN-LSTM parameterization for direct spatial computation from images, Recurrent Neural Network (RNN) like sequential information processing and attended timestamps, which resulted in error rates below 1% while producing an R-2 of around 90%. Regarding those metrics, it outperforms normal LSTMs or convolutional long short-term memory networks. By contrast, empirically Deep Q-Network (DQN) was more compatible than conventional Q-Learning when applied towards evolving pricing strategies over time leading up greater rewards and consistency amidst market volatilities. Market trend response was cores dependable, which resulted in significant readiness in supply chain operations. The present research work gives an example where smart predictive analysis can provide a comparative advantage.

关键词： CNN-LSTM-Attention Reinforcement Learning Demand Forecasting Price Prediction Data-driven Decision making Supply Chain Management

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Influence of Community-Based and Service-Learning Initiatives on Learners' Engagement in Promoting Sustainable Development 1

引用

International Conference on Intelligent and Fuzzy systems (INFUS)

作者： Kumar, Deepak Joseph, Shaji Mukherjee, Niladri Symbiosis Int Symbiosis Ctr Informat Technol Pune Maharashtra India

ISBN: (数字)9783031700187

ISBN: (纸本)9783031700170;9783031700187

Community-based and service-learning have now emerged as powerful means for fostering sustainable development. Community-based service-learning programs are considered a practical means of advancing sustainable development. This paper examines the influence of these programs on students' participation in accomplishing Sustainable Development Goals (SDGs) 4 (Quality Education) and 11 (Sustainable Cities and Communities). We tried to adopt an Empirical based Model approach to study the influence of community (Community-Based Learning) and service-based learning projects on student participation in sustainable development initiatives. The research aims to identify the benefits of community-based learning (CBL) and its current limitations in fostering sustainable development. We collected data from students in colleges and universities to shed light on their involvement in CBL activities and how their peers' participation influences their engagement. Students recognize the importance of individual action and learning from peers in promoting sustainable development. Institutions should include service-learning programs to enhance education quality and prompt curriculum redesign to include practical experiences related to SDGs.

关键词： Community-based learning service-based learning Sustainable development goals socio cognitive theory

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Gender and Use of Digital Banking Products in Cameroon: Is There a Gap? 1

引用

11st World Conference on Information systems and Technologies (WorldCIST)

作者： Kamdjoug, Jean Robert Kala Teutio, Arielle Ornela Ndassi Tchuente, Diane Ngate ESSCA Sch Management 1 Rue Joseph Lakanal F-49003 Angers France Catholic Univ Cent Africa Fac Social Sci & Management GRIAGES Yaounde 11628 Cameroon

ISBN: (数字)9783031456459

ISBN: (纸本)9783031456442;9783031456459

The development of new technologies is putting more pressure on banks to offer digital solutions to their customers. This issue is even more significant in developing countries where digital investments are growing. In this study, we examine whether the gender digital divide persists in emerging banking environments such as Cameroon, where the digitalization of services is becoming a focal point of marketing strategy. We analyze the gender gap in the influence of perceived ease of use, social influence, perceived security, and perceived trust on the use of digital banking products, as well as the influence of this use on bank notoriety. The partial least square structural equation modeling (PLS-SEM) method is used to test a sample of 347 bank customers, including 221 men and 126 women. The results show that the positive influence of perceived ease of use and social influence on the use of digital banking products is more vital for women than men. Further, the influence of perceived trust is more significant for men than women. There is no gender gap in the influence of perceived security, as well as the impact of the use of digital banking products on bank notoriety. The results also show that women are more open to adopting digital banking products (R-2 = 49.5%) than men (R-2 = 43%).

关键词： Gender gap digital transformation banking products developing countries

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Role Adaptation of Human-Robot Physical Interaction Based on the Distribution of Learned Belief 1

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18th International Conference on Intelligent Autonomous systems (IAS)

作者： Lu, Weifeng Zhao, Longfei Hu, Zhe Pan, Jia City Univ Hong Kong Hong Kong 999077 Peoples R China Tencent Robot X Shenzhen 518100 Peoples R China Univ Hong Kong Hong Kong 999077 Peoples R China

ISBN: (数字)9783031448515

ISBN: (纸本)9783031448508;9783031448515

Physical human-robot interaction (pHRI) poses great challenges to the role adaptation between the human and the robot in real time. The robot has several individual tasks attainable, while the human might switch between tasks unpredictably. The capability to estimate the confidence of the expected task is critical to empower the robot to behave properly in cooperation. In this paper, we construct a pHRI controller framework with real-time role adaptation. With the task beliefs learned by a belief estimation module, we mathematically analyze the task confusion index of the robot during its motion. The role adaptation module authorizes the robot to take proactive actions if the confusion index is minor, and vice versa. We deploy a reinforcement learning method on generating the robot assisting force. The proposed pHRI controller framework is validated in both simulation and experiment. More results and videos are available at https://***/view/hrpcrl/.

关键词： Human-robot physical interaction Role adaptation Reinforcement learning

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Designing Reactive Route Change Rules with Human Factors in Mind: A UATM System Perspective 9th

Designing Reactive Route Change Rules with Human Factors in ...

引用

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

作者： Kim, Jeongseok Kim, Kangjin SK Telecom Seoul 04539 South Korea Chodang Univ Dept Drone Syst Muan Jeollanam Do South Korea

ISBN: (纸本)9789819745807;9789819745814

This paper investigates the dynamic rerouting of electric vertical takeoff and landing (eVTOL) aircraft in the context of urban air traffic management (UATM). Focusing on the interaction between human managers and the UATM network, we present a novel approach to reactive rerouting based on step-oriented simulation and condition-action rules. Our framework enables human intervention in response to congestion observed at vertiport corridors, allowing managers to request detours for approaching eVTOLs. We formulate the problem within the knowledge representation and reasoning (KR&R) paradigm and employ a multi-shot approach within an Answer Set Programming (ASP) solver to drive the step-oriented simulation. The structure of the paper follows a logical progression, including related work, preliminaries, a problem statement, proposed solutions, and a discussion, followed by a concluding section.

关键词： UAM UATM KRR Answer Set programming Articulating agent

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