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检索条件"任意字段=Proceedings of the 9th Knowledge-Based Software Engineering Conference"

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Fuzzy logic based fault detection and classification in Unified Power Quality Conditioner (UPQC)-compensated distribution line 9

Fuzzy logic based fault detection and classification in Unif...

引用

9th IEEE International conference on Power Electronics, Drives and Energy Systems, PEDES 2020

作者： Das, Sayanee Adhikari, Shuma National Institute of Technology Manipur Department of Electrical Engineering Imphal India

ISBN: (纸本)9781728156729

Presently, power quality and power system protection are the two biggest challenges faced by power systems. In this paper, both problems have been addressed by means of designing a fuzzy logic based fault detector and classifier for an UPQC-compensated distribution line. An UPQC has been modeled for a given three-phase distribution line which is used to mitigate almost all problems related to power quality pertaining to voltage and current distortions. then, a fuzzy logic based classifier is used in conjunction with the line to detect and classify all types of shunt faults (Line-Ground, Line-Line-Ground, Line-Line-Line faults). this classifier uses the normalized values of line currents and exploits the rise of current in faulty phases to determine types of faults. the proposed scheme was tested by simulating the faults at various locations of the line, and the classifier was found to correctly detect and classify all faults irrespective of fault locations. the simulations have been performed using MATLAB-Simulink software environment. © 2020 IEEE.

关键词： Fuzzy logic

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Entities and Relations Aware Graph Convolutional Network for knowledge Base Completion

Entities and Relations Aware Graph Convolutional Network for...

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International conference on Information, Communication and Networks (ICICN)

作者： Kun Yang Haipeng Gao Yuxue Yang Ke Qin School of Computer Science and Engineering University of Electronic Science and Technology of China Chengdu China

ISBN: (纸本)9781665411578

Graph Neural Networks (GNNs) have recently been shown to be quite effective in modeling graph-structured data. Recent methods such as RGCN and SACN, have achieved the most advanced results in knowledge graph completion. However, previous efforts are mostly restricted to aggregating information given by neighboring nodes only, ignoring the information given by neighboring edges. this paper proposes a novel Entities and Relations Aware Graph Convolutional Network (ERA-GCN), with an encoder-decoder framework which jointly embeds both entities and relations in a multi-relation graph. In the encoder end, ERA-GCN uses a weighted graph convolutional network to capture both graph structure and neighborhood information. In the decoder end, we utilize Conv-TransE to retain the translational property between entity and relation embedding, leading to better link prediction performance. We evaluate our proposed method on standard FB15k-237 and WNISRR datasets, and achieve about 11% relative improvement compared to current state-of-the-art ConvE in terms of HITS@l, HITS@3 and HITS@10.

关键词： knowledge engineering conferences knowledge based systems Graph neural networks Data models Decoding Standards

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Biomedical even trigger identification based on the gated unit neural network and word representation

Biomedical even trigger identification based on the gated un...

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2021 International conference on Electronic Information engineering and Computer Technology, EIECT 2021

作者： Liu, Sitong Sun, Sheng Tang, Houjun Computer Science Rensselaer Polytechnic Institute 110 8th St TroyNY12180 United States Computer Science Rutgers University-New Brunswick 9 Katharina Pl WashingtonNJ07676 United States Department of Mathematics and Statistics Boston University State Road BostonMA02215 United States

ISBN: (数字)9781510650510

ISBN: (纸本)9781510650503

Biomedical event trigger extraction, as one of the sub-task of biomedical event extraction, plays an important role in biomedical research. A biomedical event trigger is a word or phrase that marks the emergence of a certain biomedical event. the recent works are usually based on the rule and the machine learning methods. However, the rule-based methods heavily rely on the concrete rules enumerated by the field expert and usually need a large amount of expert knowledge. the machine learning-based approaches usually utilize many handcraft features such as n-gram, lexicon, pose-tag and shortest dependency path. As a result, these methods based on machine learning can suffer from handcraft engineering with expensive time costs and the problem of generalization in the field transition. With the popularization of deep learning techniques, some effective frameworks in Natural Language Processing (NLP), such as adversarial training, self-attention mechanism, graph convolutional network, have been proposed to enhance the model performance for the NLP, especially the information extraction. As a task in the information extraction field, the frameworks mentioned above have been applied in the biomedical trigger identification subtask. this paper attempts to employ an external version of the recurrent neural network (RNN), i.e., bidirectional Gated Recurrent Unit (Bi-GRU) network, to extract the biomedical event trigger existing in the biological literature. Specifically, we first transform each token and entity label in the sentence to a word sequence with token index and an entity label sequence with entity label index. Subsequently, the above two sequences will be fed into the embedding layer to obtain the concatenated tensor between them. Moreover, we put the tensor into the Bi-GRU to generate the contextual encoding, which will be fed in a linear layer with an activation function to predict the probability distribution of the trigger. the final experiment on the MLEE data

关键词： Tensors

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Design of Antenna-in-Package in 5G Communication Band based on LTCC Technology 9

Design of Antenna-in-Package in 5G Communication Band Based ...

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9th IEEE Asia-Pacific conference on Antennas and Propagation, APCAP 2020

作者： Zhang, Xiaoqing Liu, Dexi Zhu, Dalong Shi, Lei Beijing Research Institute of Telemetry Ieee Conference Publishing Beijing100076 China

ISBN: (数字)9781728198057

ISBN: (纸本)9781728198057

Antenna-in-Package(AiP) technology has an advantage that a system can maintain antenna performance while being small in size and highly integrated. In this paper, based on LTCC technology, a rectangular corner cut microstrip antenna for 5G communication band is designed, and then integrated into a package of the chip with AiP technology. the simulation results of HFSS software show that after miniaturized and highly integrated, the AiP system achieves the goal with operation frequency of 4.8 ~ 4.9GHz, bandwidth of 100MHz and the peak gain of 6.52dB. © 2020 IEEE.

关键词： Microstrip antennas

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Curriculum based Accessible Learning for Schools Using ICT Methods

Curriculum Based Accessible Learning for Schools Using ICT M...

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9th International conference on Interactive Collaborative and Blended Learning, ICBL 2020

作者： Venkitakrishnan, Rani P. TCS Lab Spoken Tutorial Project Department of Chemical Engineering Indian Institute of Technology Bombay Powai Mumbai400076 India

ISBN: (纸本)9783030672089

the ability to read with ease and to understand the meaning of sentences is essential for students. India has 22 official languages which are spoken in the various states. Children of migrant laborers face the task of adapting to a different language other than their mother tongue, which is an uphill task. the absence of structured language learning materials and affordable inter-language dictionaries results in a knowledge gap and adversely affects the academic performance. Online education adopted by schools, due to recent pandemic or other natural disasters, add to difficulties. To mitigate these effects, construction of curriculum based language learning materials is proposed. Currently, the learning resources aligned to the curriculum, to mitigate language barrier, are not available for student use. Due to the widespread use of smartphones, a majority of students are familiar with the use of web-browser, online navigation, playing videos, and listening to audio clips. Since the textbooks are available online, learning resources that require knowledge of basic phone use can be designed and created. Construction of highlighted reading videos of textbook chapters, glossary and language dictionary for chapters for vocabulary building, audios, concept maps, interactive simulation, and learning games is proposed. Short videos were created on creating glossary, language-dictionary and online thesaurus, which can be practiced side-by-side by the learner. this can be achieved with the existing technology of computers or smartphones and 4G data. © 2021, the Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Students

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Naive Bayesian Network for Automated, Fashion Personal Stylist 12

Naive Bayesian Network for Automated, Fashion Personal Styli...

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12th International conference on Agents and Artificial Intelligence (ICAART)

作者： Strain, N. Olszewska, J., I Univ West Scotland Sch Comp & Engn Paisley Renfrew Scotland

ISBN: (纸本)9789897583957

Fashion is an area that people experience every day. Fashion can be seen as homogenizing, since encouraging everyone to dress in a certain way that is influenced, e.g. by celebrities and social media. However, nowadays, fashion is also a search for individuality and personal expression. Hence, this work is about the development of an intelligent web application to help people by providing them with clothing suggestions based on their previous garment selections at the registration stage and after determining each user's individual style thanks to machine learning techniques such as Naive Bayesian Networks. the resulting intelligent system has been thoroughly tested on real-world datasets as well as successfully released to end-users.

关键词： Intelligent Systems Agent-oriented software engineering Expert System Machine Learning Bayesian Networks knowledge-based System Web Intelligence Data Mining Industrial Applications of AI

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Numerical study on structural behaviour of stainless steel beam-to-column joints with double extended end-plate connections 9

Numerical study on structural behaviour of stainless steel b...

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9th International conference on Advances in Steel Structures, ICASS 2018

作者： Gao, Jun-Dong Yuan, Huan-Xin Du, Xin-Xi School of Civil Engineering Wuhan University Wuhan China

ISBN: (纸本)9889914093

the component method has been widely used in prediction of structural behaviour of beam-to-column joints. In this paper, the moment-rotation (M-φ) behaviour of stainless steel double extended end-plate connections was investigated. By means of the general finite element (FE) software package ABAQUS, elaborated FE models were developed. the simulated results of the flush end-plate connection and single extended end-plate connection agreed well with the experimental results available from the relevant literature. based on the validated FE models, the effects of key parameters were separately analysed. the obtained characteristics of the M-φ curve were used to evaluate the component method provided in EN 1993-1-8 and the modified design formula and the Chinese code GB 51022. It could be concluded that the initial rotational stiffness of stainless steel beam-to-column joints obtained from design provisions in EN 1993-1-8 was overpredicted, yet the moment resistance was underestimated. In addition, the predictions of Chinese code GB 51022 were conservative, highlighting the requirements for further research on M-φ relation for stainless steel end-plate connections. © 2018 by the Hong Kong Institute of Steel Construction.

关键词： Plates (structural components)

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Kinematic and Workspace Analysis of Spherical 3RRR Coaxial Parallel Robot based on Screw theory 9

Kinematic and Workspace Analysis of Spherical 3RRR Coaxial P...

引用

9th International Congress of Mechatronics engineering and Automation, CIIMA 2020

作者： Marrugo, D. Vitola, A. Villa, J.L. Rodelo, M. Universidad Tecnológica de Bolívar Engineering Faculty Cartagena Colombia Universidad Simón Bolívar Engineering Faculty Barranquilla Colombia

ISBN: (纸本)9781728194967

A kinematic and workspace analysis of Spherical 3-RRR Coaxial Parallel Robot are developed in this paper. Position and orientation was determined through the inverse and forward kinematics using geometric and numerical method, respectively. Velocity state and screw-coordinate Jacobian matrix was developed based on Screw theory. Likewise, the workspace and reciprocal index as a measure of the robot's sensibility, were calculated for a developed trajectory by track with the end-effector. the simulations were performed using MATLAB environment, and the results provides that, for the path planning created, the inverse and forward kinematics are good in agreement. Where the robot remains in the workspace with high accuracy, with errors not exceeding 15×10-4 rad. Furthermore, the sensibility analysis computed with the reciprocal index shown that this type of parallel robots are efficient inside their workspace, even at points close to the singularity. © 2020 IEEE.

关键词： Inverse problems

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Towards a Continuous Model-based engineering Process for QoS-Aware Self-adaptive Systems 3rd

Towards a Continuous Model-Based Engineering Process for QoS...

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17th International conference on software engineering and Formal Methods (SEFM)

作者： D'Angelo, Mirko Pagliari, Lorenzo Caporuscio, Mauro Mirandola, Raffaela Trubiani, Catia Linnaeus Univ Vaxjo Sweden Gran Sasso Sci Inst Laquila Italy Politecn Milan Milan Italy

ISBN: (纸本)9783030575069;9783030575052

Modern information systems connecting software, physical systems, and people, are usually characterized by high dynamism. these dynamics introduce uncertainties, which in turn may harm the quality of service and lead to incomplete, inaccurate, and unreliable results. In this context, self-adaptation is considered as an effective approach for managing run-time uncertainty. However, classical approaches for quality engineering are not suitable to deal with run-time adaptation, as they are mainly used to derive the steady-state solutions of a system at design-time. In this paper, we envision a Continuous Model-based engineering Process that makes use of architectural analysis in conjunction with experimentation to have a wider understanding of the system under development. these two activities are performed incrementally, and jointly used in a feedback loop to provide insights about the quality of the system-to-be.

关键词： Quality of service

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Design and development of a mobile app as a learning strategy in engineering education 10th

Design and development of a mobile app as a learning strateg...

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10th International conference on Innovations in Bio-Inspired Computing and Applications, IBICA 2019 and 9th World Congress on Information and Communication Technologies, WICT 2019

作者： Almanza-Arjona, Yara C. Miranda-Camargo, Leonel A. Venegas-Andraca, Salvador E. García-Rivera, Beatriz E. Escuela de Ingenieria y Ciencias Tecnologico de Monterrey Monterrey Mexico Escuela de Ingenieria y Ciencias Writing Lab TecLabs Vicerrectoría de Investigación y Transferencia de Tecnología Tecnologico de Monterrey Monterrey Mexico Instituto de Ciencias Aplicadas y Tecnología Universidad Nacional Autónoma de México Mexico City Mexico

ISBN: (纸本)9783030493387

the goal of the present innovation is to give engineering students an innovative educational experience through their natural engagement with mobile devices. It aims to motivate the integration of technology in the teaching-learning process where students design, develop and use a mobile app in order to build up knowledge in thermodynamics. It also enhances their level of domain of soft skills such as teamwork, creativity, self-management, analytical, abstract and critical thinking. this work suggests the use of Information and Communication Technologies (ICT) to develop Open Educational Resources (OERs), which could be helpful in the teaching-learning process of Equilibrium thermodynamics (ET). During 2016, chemical and biotechnology engineering students from ITESM CEM developed a mobile app to facilitate the comprehension of physicochemical phenomena of phase equilibria. Its design and implementation was the result of a four-step process: 1. Selection of the technologic platform;2. Definition of thematic content;3. Creative process for the design and information setup;and 4. Development of the app. Results of this study show quantitatively that implementing technology-based learning experiences as a learning tool has a positive impact on the educational performance and skills development of students. It was learnt that the student’s performance was influenced by the type of technology selected and promoted the development of distinct skills and the construction of knowledge in different levels of domain. © the Editor(s) (if applicable) and the Author(s), under exclusive license to Springer Nature Switzerland AG 2021.

关键词： Students

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