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5th International Conference on Learning with MOOCs, LWMOOCS 2018

作者： Weinberger, Armin Alario-Hoyos, Carlos Bala, Poline Batangan, Dennis Delgado Kloos, Carlos Kulathuramaiyer, Narayanan Navera, John Carlo Palis, Josenh Sambul, Alwin Melkie Sy, Peter Wan, Tat-Chee Department of Educational Technology and Knowledge Management Universität des Saarlandes Saarbrücken Germany Department of Telematics Engineering Universidad Carlos III de Madrid Madrid Spain Department of Anthropology and Sociology Universiti Malaysia Sarawak Kota Samarahan Malaysia Ateneo de Manila University Institute of Philippine Culture Quezon City Philippines Faculty of Computer Science and Information Technology Universiti Malaysia Sarawak Kota Samarahan Malaysia University of the Philippines School of Library and Information Studies Quezon City Philippines Department of Geography University of the Philippines Quezon City Philippines Faculty of Engineering Universitas Sam Ratulangi Manado Indonesia Department of Philosophy University of the Philippines Quezon City Philippines Universiti Sains Malaysia School of Computer Sciences Penang Malaysia

ISBN: (纸本)9781538665336

This Paper explores the current use of Massive Open Online Courses (MOOCs) as a means of educational outreach among identified remote populations in Southeast Asia. Often excluded from traditional educational outreach, these groups are targeted through the COMPETEN-SEA Project, a Capacity Building in Higher Education project funded by the Erasmus+ programme of the European Commission and implemented in partnership with European and Southeast Asian universities. It is hoped that the Project will aid participating Southeast Asian countries address societal needs and attain national development goals. © 2018 IEEE.

关键词： E-learning

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An influence analysis of the number of members on the quality of knowledge in a collective

An influence analysis of the number of members on the qualit...

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作者： Nguyen, Ngoc Thanh Nguyen, Van Du Hwang, Dosam Division of Knowledge and System Engineering for ICT Faculty of Information Technology Ton Duc Thang University Ho Chi Minh City Viet Nam Faculty of Computer Science and Management Wroclaw University of Science and Technology Poland Department of Computer Engineering Yeungnam University Korea Republic of

Collective knowledge is understood as the common knowledge state of a collective consisting of autonomous units. The knowledge states referred from these autonomous units to some degree reflect the real knowledge state of a subject in the real world, but it is not known to what degree because of incompleteness and uncertainty. Although collective knowledge determination is an important task because these knowledge states can be different from each other, there exists another important issue with its quality. The quality of collective knowledge is based on the difference between the real knowledge state and the collective knowledge. In this study, we investigate the influence of the number of collective members on the quality of collective knowledge. Through experimental analysis, the larger collective we use, the better the quality of collective knowledge will be. In other words, the large number of collective members positively affects the quality of collective knowledge. Besides, some theorems about the relationship between the collective knowledge and the knowledge states in a collective, the influence of adding or removing members on the quality of collective knowledge are also proved. © 2017 - IOS Press and the authors. All rights reserved.

关键词： Quality control

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SEED: Entity oriented information search and exploration 22

SEED: Entity oriented information search and exploration

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22nd International Conference on Intelligent User Interfaces, IUI 2017

作者： Chen, Jun Jacucci, Giulio Chen, Yueguo Ruotsalo, Tuukka School of Information Renmin University of China China Key Laboratory of Data Engineering and Knowledge Engineering MOE China Helsinki Institute for Information Technology HIIT Department of Computer Science University of Helsinki Finland

ISBN: (纸本)9781450348935

Entity search and exploration can enrich search user interfaces by presenting relevant information instantly and offering relevant exploration pointers to users. Previous research has demonstrated that large knowledge Graphs allow exploitation and recommendation of explicit links between the entities and other information to improve information access and ranking. However, less attention has been devoted to user interfaces for effectively presenting results, recommending related entities and explaining relations between entities. We introduce a system called SEED which is designed to support entity search and exploration in large knowledge Graphs. We demonstrate SEED using a dataset of hundreds of thousands of movie related entities from the DBpedia knowledge Graph. The system utilizes a graph embedding model for ranking entities and their relations, recommending related entities, and explaining their interrelations. Copyright is held by the author/owner(s).

关键词： knowledge graph

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Sparse synthesis of concentric circular antenna array via multi-objective evolutionary computation

Sparse synthesis of concentric circular antenna array via mu...

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IEEE Vehicular Technology Conference

作者： Geng Sun Yanheng Liu Zhaoyu Chen Shuang Liang Qianao Ju Ying Zhang Jilin University Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Changchun China Jilin University College of Computer Science and Technology Changchun China Department of Information Technology Changchun Vocational Institute of Technology Changchun China Georgia Institute of Technology School of Electrical and Computer Engineering Atlanta GA USA

ISBN: (纸本)9781538663592;9781538663585

The sparse synthesis of the concentric circular antenna array (CCAA) is a very important technology because it is able to reduce the cost of the antenna array. In this paper, we first formulate a multi-objective optimization problem to jointly reduce the maximum sidelobe level (SLL) and the number of the switched-on elements of the CCAA. Then, we propose a novel enhanced non-dominated sorting genetic algorithm-II (ENSGA-II) to solve this problem. ENSGA-II introduces a hierarchy mechanism to improve the population utilization of the conventional non-dominated sorting genetic algorithm, thereby enhancing the accuracy and the convergence rate of the algorithm. Simulation results show that ENSGA-II obtains a lower maximum SLL with the similar number the switched-off elements compared with other algorithms. Moreover, ENSGA-II has a faster convergence rate.

关键词： antenna arrays genetic algorithms Antenna arrays Genetic Algorithm (GA) Loop antennas side lobe level Elements Concentric Small B-Cell Lymphocytic Lymphoma evolutionary algorithm

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Zero-shot user intent detection via capsule neural networks

arXiv

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arXiv 2018年

作者： Xia, Congying Zhang, Chenwei Yan, Xiaohui Chang, Yi Yu, Philip S. Department of Computer Science University of Illinois at Chicago ChicagoIL60607 United States Huawei Technologies San JoseCA95050 United States College of Artificial Intelligence Jilin University Changchun China College of Computer Science and Technology Jilin University Changchun China Key Laboratory of Symbolic Computation and Knowledge Engineering Ministry of Education China

User intent detection plays a critical role in question-answering and dialog systems. Most previous works treat intent detection as a classification problem where utterances are labeled with predefined intents. However, it is labor-intensive and time-consuming to label users' utterances as intents are diversely expressed and novel intents will continually be involved. Instead, we study the zero-shot intent detection problem, which aims to detect emerging user intents where no labeled utterances are currently available. We propose two capsule-based architectures: IntentCapsNet that extracts semantic features from utterances and aggregates them to discriminate existing intents, and IntentCapsNet-ZSL which gives IntentCapsNet the zero-shot learning ability to discriminate emerging intents via knowledge transfer from existing intents. Experiments on two real-world datasets show that our model not only can better discriminate diversely expressed existing intents, but is also able to discriminate emerging intents when no labeled utterances are available. Copyright © 2018, The Authors. All rights reserved.

关键词： knowledge management

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A comparative study on latest substring association rule mining and hidden markov model

A comparative study on latest substring association rule min...

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2017 International Conference on computer, Electrical and Communication engineering, ICCECE 2017

作者： Chatterjee, Rudra Prasad Ray, Chhanda Bag, Rajib Department of Computer Science Engineering Supreme Knowledge Foundation Group of Institutions MankunduWest Bengal India Training Govt. of West Bengal State Council of Educational Research Kolkata India

ISBN: (纸本)9781538611760

The Web usage mining techniques are used to scrutinize the web usage patterns for a web site. Web page prediction plays a vital role by predicting next set of web pages that a user may visit based on the knowledge of the previously visited pages. Web page prediction is the focus of attention of many researchers in recent times and different web page prediction frameworks have been proposed. In this paper, a comparative analysis between two different approaches of web page prediction, namely, Latest Substring Association Rule mining (LSA) and Hidden Markov Model (HMM) has been represented. Web page prediction is implemented by using both the approaches and the experimental results are provided. Finally, an improved approach for web page prediction is proposed at the end of the paper. © 2017 IEEE.

关键词： Hidden Markov models

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Predicting land use of Italian cities using structural semantic models 4

Predicting land use of Italian cities using structural seman...

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4th Italian Conference on Computational Linguistics, CLiC-it 2017

作者： Barlacchi, Gianni Lepri, Bruno Moschitti, Alessandro Department of Information Engineering and Computer Science University of Trento Italy TIM Semantics and Knowledge Innovation Lab Trento Italy Fondazione Bruno Kessler Trento Italy Qatar Computing Research Institute HBKU Qatar

We propose a hierarchical semantic representation of urban areas extracted from a social network to classify the most predominant land use, which is a very common task in urban computing. We encode geo-social data from Location-Based Social Networks with standard feature vectors and a conceptual tree structure that we call Geo-Tree. We use the latter in kernel machines, which can thus perform accurate classification, exploiting hierarchical substructure of concepts as features. Our comparative study on three datasets extracted from Milan, Rome and Naples shows that Tree Kernels applied to Geo-Trees are very effective improving the state of the art.

关键词： Land use

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Using improved particle swarm optimization to tune PID controllers in cooperative collision avoidance systems

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Frontiers of Information Technology & Electronic engineering 2017年第9期18卷 1385-1395页

作者： Xing-chen WU Gui-he QIN Ming-hui SUN He YU Qian-yi XU College of Computer Science and Technology Jilin University Changchun 130012 China MOE Key Laboratory of Symbol Computation and Knowledge Engineering Changchun 130012 China Department of Measurement and Controlling Engineering Changchun University Changchun 130012 China

The introduction ofproportional-integral-dorivative （PID） controllers into cooperative collision avoidance systems （CCASs） has been hindered by difficulties in their optimization and by a lack of study of their effects on vehicle driving stability, comfort, and fuel economy. In this paper, we propose a method to optimize PID controllers using an improved particle swarm optimization （PSO） algorithm, and to bettor manipulate cooperative collision avoidance with other vehicles. First, we use PRESCAN and MATLAB/Simulink to conduct a united simulation, which constructs a CCAS composed of a PID controller, maneuver strategy judging modules, and a path planning module. Then we apply the improved PSO algorithm to optimize the PID controller based on the dynamic vehicle data obtained. Finally, we perform a simulation test of performance before and after the optimization of the PID controller, in which vehicles equipped with a CCAS undertake deceleration driving and steering under the two states of low speed （≤50 km/h） and high speed （≥100 km/h） cruising. The results show that the PID controller optimized using the proposed method can achieve not only the basic functions of a CCAS, but also improvements in vehicle dynamic stability, riding comfort, and fuel economy.

关键词： Cooperative collision avoidance system （CCAS） Improved particle swarm optimization （PSO） PID controller Vehicle comfort Fuel economy

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Research-based Course Teaching of "C ++ Programming" Combining the FKM Teaching Method

Research-based Course Teaching of "C ++ Programming" Combini...

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第三届社会科学与高等教育学术会议

作者： ZHANG TaoHong MA Rui HUANG XiaoLu YAO Lin Department of Computer School of Computer and Communication Engineering University of Science and Technology Beijing (USTB) Beijing Key Laboratory of Knowledge Engineering for Materials Science

The research-based teaching thinking is applied to the C++ programming course teaching, combined with the FKM teaching method, the rapid acquisition of knowledge combine with knowledge exploration and research thinking, maximize the ability to cultivate innovative ability in classroom teaching. In the explanation of each knowledge point, start with deep logical thinking;first teach each chapter of knowledge points with the procedure-oriented idea, through the point-connection-network-expansion-scheme and other steps will be knowledge points through macro-structure and micro-interpretation. And then feedback the object-oriented knowledge, each knowledge point is the center of the class to form the FKM map of the C++ curriculum object-oriented knowledge. The abstract knowledge to the image intuitive, in line with the logic of thinking way of teaching, let the students out of the tedious grammar study, and then asks questions to inspire. The knowledge points in the book are regarded as the unknown fields, and the students are guided by the research thinking to rethink the knowledge points, to find out the problems, and to assist the research methods in order to cultivate the ability to solve problems.

关键词： C++ Programming Research-based Teaching Teaching Method FKM Teaching Method

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An Enhanced Gain of Yagi-Uda Antenna with Folded Dipole for Amateur Radio VHF Band Application

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Journal of Physics: Conference Series 2019年第1期1175卷 012064-012064页

作者： Musril, R E Rahim, H A Jusoh, M Abdulmalek, M Salleh, M E M Bioelectromagnetics Research Group (BioEM) School of Computer and Communication Engineering Universiti Malaysia Perlis (UniMAP) Kampus Pauh Putra Perlis 02600 Arau Perlis Malaysia Department of Engineering and Information Science University of Wollongong in Dubai Block 15 Dubai Knowledge Village Dubai UAE Department of Environment Johor Malaysia

This paper presents an enhanced gain of Yagi-Uda antenna with folded dipole for amateur radio Very High Frequency (VHF) band. The analysis is performed using CST Microwave Studio Suite software. The structure of this directional antenna integrates three main parts which are directors, reflectors and feeder point of 50 Ω. The performance of the proposed antenna has a tolerable reflection coefficient below -10 dB at 144.46 MHz. A maximum gain of around 14.03 dB with a good efficiency of 75.6% is achieved. The gain of the antenna increases up to 2% when added with 7 elements of reflector than with one element of reflector and enhanced significantly by 23.6% compared to the conventional Yagi-Uda antenna.

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