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Optimization of a Vision-Based Lettuce Growth Stage Classification using Genetic Algorithm 14

Optimization of a Vision-Based Lettuce Growth Stage Classifi...

引用

14th IEEE international conference on Humanoid, Nanotechnology, Information Technology, communication and Control, Environment, and Management, HNICEM 2022

作者： Valencia, Immanuel Jose C. Vicerra, Ryan Rhay P. Dadios, Elmer P. Sybingco, Edwin Fillone, Alexis M. Billones, Robert Kerwin C. Department of Manufacturing Engineering and Management De la Salle University 2401 Taft Avenue Malate Manila Philippines Department of Electronics and Computer Engineering De la Salle University 2401 Taft Avenue Malate Manila Philippines Department of Civil Engineering De la Salle University 2401 Taft Avenue Malate Manila Philippines Intelligent Systems Laboratory De la Salle University 2401 Taft Avenue Malate Manila Philippines Center for Engineering and Sustainable Development Research De la Salle University 2401 Taft Avenue Malate Manila Philippines

ISBN: (纸本)9781665464932

In this study, a vision-based lettuce crop stage classifier using the K-Nearest Neighbor algorithm is optimized using a genetic algorithm. the KNN algorithm that utilized all features resulted in an accuracy of 64.2%. After optimization, the thirteen (13) features are extracted and reduced to one (1). Based on the results of the study, the Y component from the YCbCr color space is enough to model the classification of the lettuce plants. Using that component, the accuracy of the model increased significantly to 92.8%. © 2022 IEEE.

关键词： Lettuce

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Bi-directional Deep Transfer Learning for RIS-enhanced Multi-cell OFDMA systems 14

Bi-directional Deep Transfer Learning for RIS-enhanced Multi...

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14th IEEE international conference on Wireless communications and Signal Processing (WCSP)

作者： Sun, Gaoxiang Wang, Xiaoming Jiang, Rui Liu, Ting Xu, Youyun Nanjing Univ Posts & Telecommun Sch Commun & Informat Engn Nanjing 210003 Peoples R China Nanjing Univ Informat Sci & Technol Sch Artificial Intelligence Sch Future Technol Nanjing 210044 Peoples R China Southeast Univ Natl Mobile Communicat Res Lab Nanjing 210096 Peoples R China

ISBN: (纸本)9781665450850

In this paper, we investigate the dynamic optimization on resource allocation and reconfigurable intelligent surface (RIS) control in RIS-enhanced multi-cell orthogonal frequency division multiple access (OFDMA) systems. Specifically, we jointly optimize the subcarrier and power allocation strategies, and control the amplitude and phase shift of the reflection elements of RIS. We propose a multi-agent deep reinforcement learning (MADRL) method to solve this optimization problem. We design a multi-agent double deep q-network (MADDQN) algorithm to generate the subcarrier allocation policy, and adopt the multi-agent deep deterministic policy gradient (MADDPG) algorithm for power allocation and RIS control. Furthermore, a bi-directional transfer learning (BDTL) framework is proposed to enhance the adaptability of neural networks in different environments by leveraging the common configurations of these environments. Simulation results illustrate that the proposed algorithms have higher sum-rate and faster training speed than the baseline algorithms. Moreover, the BDTL framework further accelerates the convergence speed of neural networks under different environments.

关键词： OFDMA resource allocation reconfigurable intelligent surface MADRL bi-directional transfer learning

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A Novel Explainable and Health-aware Food Recommender System 14

A Novel Explainable and Health-aware Food Recommender System

引用

14th international conference on Knowledge Management and Information systems, KMIS 2022 as part of 14th international Joint conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, IC3K 2022

作者： Rostami, Merhrdad Farahi, Vahid Berahmand, Kamal Forouzandeh, Saman Ahmadian, Sajad Oussalah, Mourad University of Oulu Finland Research Unit of Unit of Medical Imaging Physics and Technology University of Oulu Finland School of Computer Sciences Queensland University of Technology Australia Australia Faculty of Information Technology Kermanshah University of Technology Iran

ISBN: (纸本)9789897586149

Food recommendation systems are increasingly being used by online food services to make recommendations. Health factors are often ignored in most of these systems, despite the fact that unhealthy diets are connected to a wide range of non-communicable diseases. Furthermore, if users do not receive compelling explanations about the recommended healthy foods, they may become hesitant to try them. In this paper, a novel explainable and health-aware food recommender system is developed to address these challenges. For this purpose, user’s preferences and food health factors are taken into account simultaneously and then a rule-based mechanism is employed for final healthy and explainable recommendations. Five performance metrics were used to compare our system with different new recommender systems. Using a dataset crawled from"***", the proposed model is shown to perform best. Copyright © 2022 by SCITEPRESS – Science and Technology Publications, Lda. All rights reserved.

关键词： Recommender systems

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Decision Support for Production Control based on Machine Learning by Simulation-generated Data 14

Decision Support for Production Control based on Machine Lea...

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作者： Muehlbauer, Konstantin Rissmann, Lukas Meissner, Sebastian Technology Center for Production and Logistics Systems Landshut University of Applied Sciences Am Lurzenhof 1 Landshut Germany

ISBN: (纸本)9789897586149

Data-oriented approaches enable new opportunities to analyze processes and support managers in decision-making during planning and control tasks. In particular, the application of simulations has been a widely used tool for many years to evaluate alternative system configurations or to predict future process outcome. Due to a rapidly changing environment in a cross-linked domain such as production and logistics systems, more and more decisions have to be made in a shorter time under consideration of multi-factorial influences. Simulation based approaches often reach limits regarding time constraints assuming limited computing power. the article describes how data, generated by production and logistics simulation can be used to train a machine learning model. thus, the generalized framework presented can be utilized to support decision-making during planning and control tasks. By applying the framework to a case study on order sequence optimization, it was possible to verify its feasibility and potential to improve the operational performance of a manufacturing system. Copyright © 2022 by SCITEPRESS – Science and Technology Publications, Lda. All rights reserved.

关键词： Decision making

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Survey of Distributed File systems: Concepts, Implementations, and Challenges 14

Survey of Distributed File Systems: Concepts, Implementation...

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14th international conference on Information and communication Technology Convergence, ICTC 2023

作者： Pham, Kiet Tuan Lee, Sangjin Nguyen, Lan Anh Paek, Jeongyeup Son, Yongseok Chung-Ang University Department of Computer Science and Engineering Korea Republic of

ISBN: (纸本)9798350313277

Modern computing now relies heavily on Distributed File systems (DFS), which make it possible to store, manage, and retrieve data across remote contexts in an effective manner. therefore, it is essential to comprehend the DFS environment to optimize data management and storage solutions. We explore DFS in this thorough overview work, discussing its foundational ideas, well-known applications, related difficulties, and potential future research avenues. © 2023 IEEE.

关键词： cloud computing data-intensive computing Distributed File systems

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A Novel Method for Failure Detection Based on Real-Time systems Identification 1

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16th international conference on Computational Intelligence in Security for Information systems, CISIS 2023 and 14th international conference on EUropean Transnational Education, ICEUTE 2023

作者： Michelena, Álvaro Díaz-Longueira, Antonio Timiraos, Míriam Quintián, Héctor Romero, Óscar Fontenla Calvo-Rolle, José Luis Department of Industrial Engineering University of A Coruña CTC CITIC Calle Mendizábal s/n Ferrol A Coruña15403 Spain Fundación Instituto Tecnológico de Galicia Department of Water Technologies National Technological Center Cantón Grande 9 Planta 3 A CoruñaC.P. 15003 Spain Faculty of Computer Science University of A Coruña LIDIA Campus de Elviña s/n A Coruña15071 Spain

ISBN: (数字)9783031425196

ISBN: (纸本)9783031425189

the current state of climatic emergency that we are suffering, combined with the increase in population, is causing water availability to decrease. therefore, the water distribution and management systems in cities and industrial areas correspond to a critical system. It is, therefore, essential to ensure the robust operation of these kind of systems. In this context, this paper presents a novel proposal for detecting real-time malfunctions in water resource management systems. the proposed method is based on combining the Recursive Least Squares method and detecting hyperplanes using regression methods. the proposal has been validated using a real dataset, and the results obtained have reached 80% F1-score. © 2023, the Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Real time systems

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Deciphering Barriers and Facilitators of eHealth Adoption in Uganda Using the systems thinking Approach - A Systematic Review 14th

Deciphering Barriers and Facilitators of eHealth Adoption in...

引用

14th EAI international conference on Towards new e-Infrastructure and e-Services for Developing Countries, AFRICOMM 2022

作者： Namatovu, Hasifah Kasujja Magumba, Mark Abraham Makerere University Kampala Uganda

ISBN: (纸本)9783031348952

Several studies have explored the barriers and facilitators of eHealth adoption in Uganda but hardly any literature investigating these factors using a systems thinking perspective, which is the purpose of this study. A search for articles was done in several databases and only 35 articles were fit for the study. Five group model-building sessions were conducted to synthesize the data. As a result, six causal loop diagrams were constructed to provide a theoretical insight of the causation between the different factors. the study revealed that training users in Information and communication Technology (ICT) improves their digital literacy and general awareness about ICT, which improves their knowledge of telemedicine and subsequently changes their attitude towards the use of eHealth systems. the eHealth trajectory in Uganda is still in its infancy hence, it is imperative for key players in the sector to painstakingly consider the contextual barriers of eHealth and capitalize on the facilitators if eHealth ensue. © 2023, ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.

关键词： systems thinking

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Sum Rate and Outage Performance of Relay-Aided NOMA Over Power Line communication 14

Sum Rate and Outage Performance of Relay-Aided NOMA Over Pow...

引用

14th IEEE international conference on Signal Processing and communications (SPCOM)

作者： Ramesh, Roopesh Gurugopinath, Sanjeev PES Univ Dept Elect & Commun Engn Bengaluru 560085 India

ISBN: (数字)9781665482509

ISBN: (纸本)9781665482509

We present a non-orthogonal multiple access (NOMA)-based coooperative scheme for relay-assisted power line communication (PLC) systems. the network consists of a source (S) modem, a decode-and-forward relay (R) modem and a destination (D) modem. In the first time slot, S communicates to both R and D using NOMA, while S and R simultaneously communicate with D in the second time slot. We derive closed form expressions for the approximate average sum rate and overall outage probability of the network. through Monte Carlo simulations and numerical techniques we show that the approximations used in our analysis are tight. Furthermore, we show that our scheme outperforms a single-stage cooperative relaying NOMA scheme for PLC proposed in the earlier literature, in terms of outage probability and sum rate.

关键词： NOMA Monte Carlo methods Closed-form solutions conferences Power line communications Probability Signal processing

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A Multi-Band Common-Aperture Phased Array Antenna For Satellite communication 14

A Multi-Band Common-Aperture Phased Array Antenna For Satell...

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14th international conference on Microwave and Millimeter Wave Technology (ICMMT)

作者： Zheng, CiYuan Li, DongSong Yu, XuTao Chen, Peng Southeast Univ State Key Lab Millimeter Waves Nanjing 211189 Peoples R China Purple Mt Labs Nanjing 211111 Peoples R China

ISBN: (纸本)9781665467520

this paper designs a multi-band common-aperture phased array antenna for satellite communication. It contains three different types of antennas. A dual-band circularly polarized patch antenna in L frequency band, A dual-layer patch phased array antenna in S frequency band and a cross dipole phased array antenna in S frequency band. It has the advantages of small volume, low profile and high space utilization rate. the antenna has various modes satisfied the anti-interference requirements in satellite communication.

关键词： Antenna phased arrays

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Multiple-choice Question Generation for the Chinese Language 14

Multiple-choice Question Generation for the Chinese Language

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14th international conference on Knowledge Discovery and Information Retrieval, KDIR 2022 as part of 14th international Joint conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, IC3K 2022

作者： Sun, Yicheng Chen, Hejia Wang, Jie Department of Computer Science University of Massachusetts LowellMA01854 United States School of Computer Science and Technology Xidian University Xi’an China

ISBN: (纸本)9789897586149

We present a method to generate multiple-choice questions (MCQs) from Chinese texts for factual, eventual, and causal answer keys. We first identify answer keys of these types using NLP tools and regular expressions. We then transform declarative sentences into interrogative sentences, and generate three distractors using geographic and aliased entity knowledge bases, Synonyms, HowNet, and word embeddings. We show that our method can generate adequate questions on three of the four reported cases that the SOTA model has failed. Moreover, on a dataset of 100 articles randomly selected from a Chinese Wikipedia data dump, our method generates a total of 3,126 MCQs. three well-educated native Chinese speakers evaluate these MCQs and confirm that 76% of MCQs, 85% of question-answer paris, and 91% of questions are adequate and 96.5% of MCQs are acceptable. Copyright © 2022 by SCITEPRESS – Science and Technology Publications, Lda. All rights reserved.

关键词： Natural language processing systems

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