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

共 9894 条记录，以下是1311-1320 订阅

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Trajectory Planning of Mobile Robot for Obstacle Avoidance Considering Time and Path Length 1

引用

18th International Conference on Intelligent Autonomous systems (IAS)

作者： Yorozu, Ayanori Yushu, Zou Ohya, Akihisa Univ Tsukuba Inst Syst & Informat Engn 1-1-1 Tennodai Tsukuba Ibaraki 3058573 Japan Univ Tsukuba Grad Sch Sci & Technol 1-1-1 Tennodai Tsukuba Ibaraki 3058573 Japan

ISBN: (数字)9783031448515

ISBN: (纸本)9783031448508;9783031448515

For a mobile robot trajectory planning, the arrival time and the path length to the goal are two important cost factors when there is no conflict among moving obstacles. This study presents an obstacle avoidance trajectory planning method that considers the importance of arrival time and path length to a goal point in 3D X-Y-T configuration space. The trajectory cost function consisting of arrival time and the path length to the goal point is introduced. By expressing the cost function in terms of the time at which the robot avoids moving obstacles, the trajectory planning is formulated as an optimization problem. To verify the effectiveness of considering both time and path length, several simulations and experiments are carried out.

关键词： Trajectory planning Mobile robot Obstacle avoidance

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A Simple Recommendation Model Using the Item's Global Popularity and Frequency-Based User Preference

A Simple Recommendation Model Using the Item's Global Popula...

引用

International Conference on Artificial Intelligence: Theory and Applications (AITA)

作者： Suvvari, Somaraju Ahmad, Md Iftekhar Natl Inst Technol Patna Patna Bihar India

ISBN: (纸本)9789819984787;9789819984794

Next-basket recommendation (NBR) is one of the emerging methods in the recommendations system and it has many real-world applications, like where you want to predict the set of items in the next transaction based on its previous continuous transactions. In the literature, many algorithms are proposed for the next-basket recommendation, but very little attention is given to the frequency information in making the recommendation model. In this paper, we presented a simple recommendation model, and in this model, the user representation is done based on the frequent purchasing information, and finally, when the recommendation is made, it considers the user representation and items global support. We made experiments on publicly available three real-time datasets and compared them with two of the existing recommendation algorithms using recall as a measure, and our algorithm outperforms the existing two models. The proposed algorithm is simple in terms of its complexity and the number of operations involved.

关键词： Next-basket recommendation User general preference Collaborative filtering

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Predicting the Duration of User Stories in Agile Project Management 21st

Predicting the Duration of User Stories in Agile Project Man...

引用

21st International Conference on Smart Technologies and Education (STE) on Smart Technologies for a Sustainable Future

作者： Raza, Asif Espinosa-Leal, Leonardo VizTrend OY Espoo 02620 Finland Arcada Univ Appl Sci Grad Sch & Res Jan Magnus Janssons Pl 1 Helsinki 00560 Finland

ISBN: (纸本)9783031619045;9783031619052

Effective effort estimation in agile project planning is vital because it helps organizations build product plans that they can stick to, have shorter turn-around time, and have better cost discipline. Machine learning can play an essential role in planning and estimating the project schedule. In this paper, a series of supervised machine learning models were studied, analyzed, and implemented to solve the problem of predicting effort estimates in Agile Scrum. The obtained results are compared with similar previous studies. We performed experiments using different Natural Language Processing (NLP) methods such as Term Frequency-inverse document frequency (TF-IDF), fastText, and different Neural networks, including Recurrent Neural networks (RNN), Long Short Term Memory (LSTM), and Bidirectional Encoder Representations from Transformers (BERT). The trained models were fitted with three publicly available datasets. Our findings show that fastText (with a pre-trained model) significantly performed better in predicting the story-points of user-stories. The second-best performing model was bidirectional LSTM. Moreover, distilBERT performs poorly among all the models analyzed. This study can pave the way for organizations to benefit from these machine learning models and accurately predict project deadlines and schedules.

关键词： Agile Scrum Effort Estimation NLP Project Management fastText TF-IDF BERT distilBERT bi-LSTM

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Adaptable Segmented Straps with Anti-slip Pads for Modular Assistive Knee Exoskeleton Enhancement 27th

Adaptable Segmented Straps with Anti-slip Pads for Modular A...

引用

27th International Conference on Climbing and Walking Robots and Mobile Machine Support Technologies (CLAWAR)

作者： Tarapongnivat, Kanut Punapanont, Sanpoom Janna, Run Manawakul, Matas Mahuttanatan, Suksakaow Akkawutvanich, Chaicharn Manoonpong, Poramate Vidyasirimedhi Inst Sci & Technol VISTEC Rayong Thailand

ISBN: (纸本)9783031713002;9783031713019

This paper introduces a modular assistive knee exoskeleton designed to enhance physical gait assistance. The exoskeleton is engineered to support flexion/extension motions of the knee joint to mitigate slippage across various activities (walking, sit-stand, and walking up-down stairs) and accommodate personalized adjustments. A specific design approach involving a flexible strap with an anti-slip pad feature is proposed to address these requirements. The results indicate that our design is more effective in maintaining its position than the traditional one in all testing activities and can reduce a peak torque at the extreme slipping position during walking by 47% compared to the traditional design. This research contributes to the advancement of assistive technologies for mobility support and offers insights into the practical implementation of modular exoskeleton systems.

关键词： Exoskeleton Rehabilitation Anti-slip mechanism

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Physics-Aware Soft Sensors for Embedded Digital Twins 9th

Physics-Aware Soft Sensors for Embedded Digital Twins

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

作者： Chinellato, Erik Marcuzzi, Fabio Pierobon, Simone Univ Padua Dept Math Tullio Levi Civita Via Trieste 63 I-35131 Padua Italy

ISBN: (纸本)9789819735587;9789819735594

In this paper we show some paradigmatic examples of physics-aware soft sensors for embedded digital twins, i.e. algorithms for edge computing that are formulated with a scientific machine learning approach, where scientific computing methods are blended with machine learning and, in particular, neural computing. A physics-aware soft sensor is a numerical algorithm that performs an indirect measurement by exploiting a physico-mathematical model plus a possible data-driven extension, both used within an estimation algorithm.

关键词： Soft sensor Scientific machine learning Deep unfolding Edge computing

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Data Mining Applied to the HFC Network to Analyze the Availability of Telecommunication Services 4th

Data Mining Applied to the HFC Network to Analyze the Availa...

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4th International Research and Innovation Congress - Smart Technologies and systems (CI3)

作者： Alarcon-Loza, Shirley Estacio-Corozo, Karen Inst Super Tecnol ARGOS Guayaquil Ecuador

ISBN: (纸本)9783031634338;9783031634345

The failures that affect the telecommunications service in hybrid fiber-coaxial networks (HFC) can be anticipated, through data analysis, to minimize the impact on service availability and users. This work seeks to analyze the causes that affect the performance of HFC networks in Ecuador, through a predictive model for their timely detection and application of anticipated works. The base studied included the components and causes that affected the availability of television and telephony service in a HFC network in 2020, from a sample of 17707 records. For the research, the dependent variable CATEGORY CAUSE is considered, and the objective was to analyze the causes that affect the telecommunications service. The KDD methodology was used and, from the use of WEKA software, classification algorithms were established to determine suitable predictive features, being the causes, the type of event, and the network components, the most significant. The results showed that, for the television service, the best classification algorithm was J48, with a precision value of 68.668% and an area under the curve (ROC Area) of 0.913. For the telephony service, the best classification algorithm was Random Tree, with a precision of 73.666% and an area under the curve of 0.969. The conducted research demonstrated the importance of data mining in the process of analyzing the causes of the impact on television and telephone services.

关键词： HFC network Hybrid fiber-coaxial networks Data Mining Classification Algorithm

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LAURON VP, A Six-Legged Walking Robot, with a New ROS 2-Based Behavior Control 27th

LAURON VP, A Six-Legged Walking Robot, with a New ROS 2-Base...

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27th International Conference on Climbing and Walking Robots and Mobile Machine Support Technologies (CLAWAR)

作者： Plasberg, Carsten Nessau, Hendrik Sinha, Kantesh Hafeez, Imama Kubeneck, David Heppner, Georg Dillmann, Ruediger FZI Forschungszentrum Informat Haid & Neu Str 10-14 D-76131 Karlsruhe Germany

ISBN: (纸本)9783031713002;9783031713019

Hexapods have the ability to exert a strange fascination on humans. Once working with such a system, they develop a personality, and engineers create a special bond with the robot. Emerging from such a bond, LAURON V requires some upgrades to remain a future-proof system and to further prove its unused potential. Those changes contain new motor controllers but, more importantly, a reimplementation of the behavior network in an up-to-date framework. Therefore, an approach is developed on how to model behavior networks using ROS 2. This approach is then tested on the updated robot LAURON VP. With the ability to use the same software stack with only a different option during startup to run either on the robot or in simulation, testing new features becomes effortless.

关键词： Walking Robot Behavior-Based Control ROS 2

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Optimizing the Flow of Connected Distribution Logistics 7th

Optimizing the Flow of Connected Distribution Logistics

引用

7th International Conference on Logistics Operations Management (GOL)

作者： El Kihel, Yousra Bencheikh, Ghita CESI LINEACT UR 7527 Strasbourg France

ISBN: (纸本)9783031686337;9783031686344

Distribution and transport are considered to be key factors determining the quality of service and logistics costs, as they provide the connection between the different levels of the Supply Chain (SC). This study proposes a guideline to help industrial manufacturing companies manage their logistics distribution systems in an efficient and optimized way. The aim of the paper is to present a new approach to modeling and optimizing the connected distribution logistics process and flow in order to clarify its understanding and optimize its performance. This modeling of the downstream SC is based on a SC operations reference model (SCOR). We will be looking at the modeling and optimization of SC distribution logistics flows, followed by the integration of 4.0 technologies. This combination refers to efficient management of the movement of products and information throughout the distribution chain, based on advanced communication and connectivity technologies. Thanks to the technologies made available by Industry 4.0, it has become possible to optimize distribution in real time while proactively anticipating potential disruptions that may occur in the environment.

关键词： Modeling Connected logistics Distribution management New technologies 4.0 Distributed optimization

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Kiwifruit Counting Using Kiwidetector and Kiwitracker

Kiwifruit Counting Using Kiwidetector and Kiwitracker

引用

Intelligent systems Conference (IntelliSys)

作者： Xia, Yi Nguyen, Minh Yan, Wei Qi Auckland Univ Technol Auckland 1010 New Zealand

ISBN: (纸本)9783031477232;9783031477249

Efficient fruit detection and counting are crucial to improve fruit industrial efficiency and assist the farmers to develop reasonable harvesting strategies in advance while significantly reducing human labors and wastage. In this paper, digital video and image datasets of kiwifruits are collected to train a deep learningbased fruit counting model. The model consists of two molecular algorithms: KiwiDetector for kiwifruit detection and KiwiTracker for kiwifruit tracking and counting. The KiwiDetector algorithm is based on the state-of-the-art YOLOv7 algorithm. The KiwiTracker algorithm is from Kalman filtering and global matching for target tracking. TheKiwiDetector module obtainedmAP 0.937 after model training based on our collected kiwifruit dataset. The KiwiTracker module has an average counting precision 0.802 after model testing based on different videos containing kiwifruits. The methods can assist us in estimating yields efficiently and provide technical references for agricultural automation.

关键词： Multiple Object Tracking Kiwifruit Detection Kiwifruit Counting

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Farming and Automation. How Professional Visions Change with the Introduction of ICT in Greenhouse Cultivation 12th

Farming and Automation. How Professional Visions Change with...

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12th World Conference on Information systems and Technologies (WorldCIST)

作者： Torsi, Silvia Incrocci, Luca Chessa, Stefano Kocian, Alexander Milazzo, Paolo Cela, Fatjon Carmassi, Giulia Univ Pisa Dept Comp Sci Pisa Italy Univ Pisa Dept Agr Food & Environm Pisa Italy

ISBN: (纸本)9783031602146;9783031602153

With this contribution, we would like to contextualize an IoT and Artificial Intelligence project in the current work practices of greenhouse growers. The project follows the user-centered design process in the field of Human-Computer Interaction. We carried out user studies by interviewing experts competent in greenhouse work. In particular, we asked ourselves how practices, perceptions, and cognitions change following the introduction of technologies in the greenhouse. The qualitative work on the interviews allowed us to isolate some constants that will subsequently bring us to improve the usability of the technologies to support growers, taking into account their particular professional skills.

关键词： Human-Computer Interaction User Centered Design User Interviews Greenhouse culture Professional Visions ICT4Agriculture

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