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21st IEEE International Symposium on Intelligent systems and Informatics, SISY 2023

作者： Spisic, Josip Zrnic, Matko Zagar, Drago Crgic, Kresimir Computer Science and Information Technology Department of Communications Faculty of Electrical Engineering Osijek Croatia

ISBN: (纸本)9798350343366

This study employed a l0-fold cross-validation approach to train and validate neural networks to predict the RSSI (received signal strength indicator) in LoRaWAN communication. The model's performance was accurately estimated by averaging results across multiple validation sets and training sequences, and biased outcomes were mitigated. Implementing data normalization techniques, a simple neural network architecture, regularization approaches, and iteration limits ensured robustness within the limitations of a small dataset. The assessment of three neural network models using different optimization algorithms demonstrated their potential for accurate RSSI predictions, particularly for low-power IoT devices like LoRaWAN end devices, where energy efficiency is crucial. Lightweight neural networks on such devices enable efficient data processing while conserving energy, extending their lifespan, and reducing maintenance needs. Experimentation with deeper structures and unconventional activation functions may be necessary for complex problems, further enhancing performance in specific domains like RSSI assessment for LoRaWAN end devices. © 2023 IEEE.

关键词： Iterative methods

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SOFT STATE-TYING FOR HMM-BASED SPEECH RECOGNITION 5

SOFT STATE-TYING FOR HMM-BASED SPEECH RECOGNITION

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5th International Conference on Spoken Language Processing, ICSLP 1998

作者： Neukirchen, Christoph Willett, Daniel Rigoll, Gerhard Department of Computer Science Faculty of Electrical Engineering Gerhard-Mercator-University Duisburg Germany

This paper introduces a method for regularization of HMM systems that avoids parameter overfitting caused by insufficient training data. Regularization is done by augmenting the EM training method by a penalty term that favors simple and smooth HMM systems. The penalty term is constructed as a mixture model of negative exponential distributions that is assumed to generate the state dependent emission probabilities of the HMMs. This new method is the successful transfer of a well known regularization approach in neural networks to the HMM domain and can be interpreted as a generalization of traditional state-tying for HMM systems. The effect of regularization is demonstrated for continuous speech recognition tasks by improving overfitted triphone models and by speaker adaptation with limited training data. © 1998. 5th International Conference on Spoken Language Processing, ICSLP 1998. All rights reserved.

关键词： Speech recognition

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OPTIMAL control OF CONTAINER CRANES.

OPTIMAL CONTROL OF CONTAINER CRANES.

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作者： Sakawa, Y. Shindo, Y. Department of Control Engineering Faculty of Engineering Science Osaka University Toyonaka Osaka 560 Japan

A dynamical model of container cranes is derived by using Lagrange's equation. When a ship is loaded or unloaded with containers, the total motion of the container load is divided into five fundamental sections. For each fundamental type of motion, the optimal control is calculated such that the corresponding trajectory satisfies the specified boundary conditions and that the swing of the container load during the transfer is minimized. A new algorithm which is employed for computing the optimal control is explained in detail.

关键词： CRANES

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Women in Computational Intelligence 1

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丛书名： Women in engineering and science

1000年

作者： Alice E Smith

ISBN: (数字)9783030790929

ISBN: (纸本)9783030790912;9783030790943

This book provides a breadth of innovative and impactful research in the field computational intelligence led by women investigators. Topics include intelligent data analytics, optimization of complex systems, approximation of human reasoning, robotic path planning, and intelligent control systems. These topics touch on many of the technological challenges facing the world today and these solutions by women researcher teams are valuable for their excellence and their non-traditional perspective. As an important part of the Women in science and engineering book series, the work highlights the contribution of women leaders in computational intelligence, inspiring women and men, girls, and boys to enter and apply themselves to this exciting multi-disciplinary field.

关键词： Computational Intelligence Communications engineering, Networks Job Careers in science and engineering History of science

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Application of Artificial Intelligence for Maternal and Child Disorders in Indonesia: A Review 22nd

Application of Artificial Intelligence for Maternal and Chil...

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22nd Asia Simulation Conference, AsiaSim 2023

作者： Kurnianingtyas, Diva Indriati Muflikhah, Lailil Department of Informatics Engineering Faculty of Computer Science Universitas Brawijaya Malang65145 Indonesia

ISBN: (纸本)9789819972395

The development of Artificial Intelligence (AI) technology is used to minimize the risk of maternal disorders during pregnancy. Maternal health needs to be monitored so as not to cause problems during the baby's birth. The purpose of this study is to provide a literature review from 2017 to 2023. The method used is Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA). This study is a basis for researchers to help solve maternal health problems using AI. This technology is proven to detect and predict problems during pregnancy, thereby reducing maternal and infant mortality and preventing abnormalities in the development process. In addition, AI can help improve medical personnel's performance by minimizing human error. This study also presents trends in AI problems and methods used. However, the rapid development of AI methods has not provided novelty in solving maternal pregnancy issues because researchers rarely implement them on a wider scope of problems. Furthermore, it needs to be developed with other methods, such as simulation. © 2024, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Obstetrics

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A Deep Learning Approach for Faults Recognition of Dissolved Oxygen Sensor in Wastewater Treatment Plants 28

A Deep Learning Approach for Faults Recognition of Dissolved...

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28th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2023

作者： Ghinea, Liliana Maria Miron, Mihaela Ratnaweera, Harsha Electrical Engineering and Electronics Faculty of Automation Computers Department of Automatic Control and Electrical Engineering Department Galaţi Romania Computers Electrical Engineering and Electronics Faculty of Automation Department of Computer Science and Information Technology Galaţi Romania Norwegian University of Life Sciences Faculty of Science and Technology Oslo Norway

ISBN: (纸本)9798350339918

Fault diagnosis in wastewater treatment plants (WWTPs) is important to protect communities and ecosystems from toxic elements discharged into water. In this sense, fault identification of sensors plays an important role as they are the key components of the water plants control, especially because environmental legislation is very strict when referring to failures or anomalies in WWTPs. This paper analyzes the performances of two Deep Learning models, a Feedforward Neural Network (FFNN) and a 1D Convolution Neural Network (1DCNN) for identifying five operating states of the dissolved oxygen (DO) sensor: normal and faulty (bias, stuck, spike and precision degradation faults). The experiments were conducted on the Benchmark Simulator Model No 2 (BSM2) developed by the IWA Task Group. The performance of the Deep Learning (DL) classifiers was evaluated via accuracy, precision, recall, and F1-score metrics. The best overall classification accuracy was obtained by FFNN, 98.32% for training and 98.30% for testing. © 2023 IEEE.

关键词： Wastewater treatment

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Experimental examination of the identification methods for an industrial robot manipulator 2nd

Experimental examination of the identification methods for a...

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2nd International Symposium on Experimental Robotics, ISER 1991

作者： Mayeda, Hirokazu Maruyama, Masaaki Yoshida, Koji Ikeda, Nobuya Kuwaki, Osamu Department of Control Engineering Faculty of Engineering Science Osaka University 1-1 Machikaneyama ToyonakaOsaka560 Japan

ISBN: (纸本)9783540198512

The step-by-step method and the simultaneous method have been experimentally examined to estimate the dynamic model of PUMA 560. The merits and demerits of the both method are discussed and compared. To evaluate the accuracy of the estimated parameter values, the joint angle trajectories of a real motion and the simulated motions have been compared. From those results it can be said the step-by-step method is more accurate way to estimate the model parameter values than the simultaneous method. The estimated parameter values obtained by the both method will be accurate for the purpose of model based control of the industrial manipulator. To establish the modeling method for the model based control of industrial manipulators, more experimental works on various types of manipulators are required. In further studies along this line, we will confont the necessity to take into account of compliance of the joints. © Springer-Verlag London Limited 1993.

关键词： Industrial manipulators

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A Vertically-Polarized End-Fire Leaky Wave Antenna with High Gain and Improved Efficiency

A Vertically-Polarized End-Fire Leaky Wave Antenna with High...

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2023 International Applied Computational Electromagnetics Society Symposium, ACES-China 2023

作者： Duan, Junbing Zhu, Lei Faculty of Science and Technology University of Macau Taipa Department of Electrical and Computer Engineering China

ISBN: (纸本)9781733509657

This paper introduces a recently proposed end-fire leaky wave antenna (LWA) with high radiation gain and efficiency under vertical polarization. By periodically loading a series of shorting-pins in the double-sided-parallel-strip-line (DSPSL), a leakage region as well as end-fire radiation condition point can be generated on the fundamental mode of transmission line with normalized phase constant equal to 1. In order to enhance the radiation efficiency of the pin-loaded LWA, the U-shaped slots are etched at the vicinity of pins on the two surfaces of DSPSL to enlarge the attenuation constant values in the end-fire operation frequency range. Hence, the high end-fire gain with high efficiency can be realized on a compact structure with a limited antenna length. A prototype is designed in final, where the good agreement between simulated and measured results confirms the predicted performances of the proposed end-fire LWA. © 2023 Applied Computational Electromagnetics Society (ACES).

关键词： Radiation efficiency

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CBIR for Herbs Root Using Color Histogram and GLCM Based on K-Nearest Neighbor 3

CBIR for Herbs Root Using Color Histogram and GLCM Based on ...

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3rd International Seminar on Application for Technology of Information and Communication, iSemantic 2018

作者： Irawan, Candra Listyaningsih, Winda Setiadi, D.R.I.M. Atika Sari, Christy Hari Rachmawanto, Eko Computer Science Faculty Department of Informatics Engineering Dian Nuswantoro University Semarang Indonesia

ISBN: (纸本)9781538674864

Ginger, kencur, kunyit, temulawak, and temu hitam are herbs root that is widely used as a spice and herbal medicine in Indonesia. Visually the shape and color of herbs root are quite similar so that the common people difficult distinguish. The problem can be solved with the help of Content-Based Image Retrieval (CBIR). There are three main modules in CBIR namely pre-processing, feature extraction and identification. The study proposed the Color Histogram and Gray Level Co-occurrence Matrix (GLCM) as feature extraction to identify these types of herbal remedies. While the identification stage used K-Nearest Neighbor (KNN) and the calculation of the distance closest to the Euclidean distance. The amount of data used as training data is 250 images, while data testing used 25 images. The results of this study the system can recognize the image of herbs root in accordance with the type with the highest accuracy obtained. © 2018 IEEE.

关键词： Feature extraction

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An Acceptance Model of Using Mobile-Government Services(AMGS)

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computer Modeling in engineering & sciences 2022年第5期131卷 865-880页

作者： Ahmad Althunibat Mohammad Abdallah Mohammed Amin Almaiah Nour Alabwaini Thamer Ahmad Alrawashdeh Department of Software Engineering Faculty of Science and Information TechnologyAl-Zaytoonah University of JordanAmmanJordan Faculty of Computer Sciences and Information Technology King Faisal UniversityAl-AhsaSaudi Arabia

In recent years,the telecommunications sector is no longer limited to traditional communications,but has become the backbone for the use of data,content and digital applications by individuals,governments and companies to ensure the continuation of economic and social activity in light of social distancing and total closure inmost countries in the ***,electronic government(e-Government)andmobile government(m-Government)are the results of technological evolution and ***,it is important to investigate the factors that influence the intention to use m-Government services among Jordan’s *** paper proposed a new m-Government acceptance model in Jordan(AMGS);this model combines the Information System(IS)Success Factor Model and Hofstede Cultural Dimensions *** study was conducted by surveying different groups of the Jordanian *** questionnaire was used to collect data from203 *** regression analysis has been conducted to analyze the *** results indicate that the significant predictors of citizen intention to use m-Government services in Jordan are Information Quality,Service Quality,Uncertainty Avoidance,and Indulgence ***,the results also suggest that Power Distance is not a significant predictor of citizen intention to use m-Government services.

关键词： Acceptance test e-Government m-Government acceptance model IS success factor model Hofstede cultural dimensions theory

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