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9th EAI International Conference on Advancement of Science and Technology, ICAST 2021

作者： Abebaw, Zeleke Rauber, Andreas Atnafu, Solomon IT Doctoral Program Addis Ababa University Addis Ababa Ethiopia Institute of Information Systems Engineering Technical University of Vienna Vienna Austria Department of Computer Science Addis Ababa University Addis Ababa Ethiopia

ISBN: (纸本)9783030937089

As online social media content continues to grow, so does the spread of hate speech. Hate speech has devastating consequences unless it is detected and monitored early. Recently, deep neural network-based hate speech detection models, particularly conventional single-channel Convolutional Neural Network (CNN), have achieved remarkable performance. However, the effectiveness of the models depends on the type of language they are trained on and the training data size. We argue that the effectiveness of the models could further be enhanced if we use multi-channel CNN models even for under-resourced languages that have limited training data size. This is because the single-channel CNN might fail to consider the potential effect of multiple channels to generate better features, which is not well investigated for hate speech detection. Therefore, in this work, we explore the use of multi-channel CNN to extract better features from different channels in an end-to-end manner on top of a word2vec embedding layer. Tested on a new small-scale Amharic hate speech dataset containing 2000 annotated social media comments, the experimental results show that the proposed multi-channel CNN model outperforms the single-channel CNN models but underperform from the baseline Support Vector Machine (SVM) with an average F-score of 81.3%, 78.2%, and 92.5% respectively. The finding of the study implies that the proposed MC-CNN model can be used as an alternative solution for hate speech detection using a deep learning approach when dataset scarcity is an issue. © 2022, ICST Institute for Computer Sciences, Social Informatics and Telecommunications engineering.

关键词： Embeddings

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Agricultural Uses of Fishpond Sediment and Sustainability of Asian Integrated Farming systems

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Asia-Pacific Journal of Rural Development 2004年第1期14卷 87 - 94页

作者： Md. Mizanur Rahman Doctoral Student Agricultural and Aquatic Systems and Engineering Program Asian Institute of Technology (AIT) Pathumthani Thailand. E-mail:

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Understanding the socializer influence on engineering students' career planning 125

Understanding the socializer influence on engineering studen...

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125th ASEE Annual Conference and Exposition

作者： Abhyankar, Rohini Carrico, Cheryl Matusovich, Holly M. Brunhaver, Samantha Ruth Arizona State University Engineering Education Systems and Design Doctoral Program United States Virginia Tech. United States Virginia Tech's Department of Engineering Education United States Arizona State University Department of Engineering Fulton Schools of Engineering Polytechnic School United States

This research paper describes how engineering juniors and seniors perceive the influence of socializers on their post-graduation career planning. Grounded in Expectancy x Value Theory (EVT), this qualitative investigation is part of a sequential mixed-methods study that included two survey phases and an interview phase. An exploratory analysis of 72 interview excerpts revealed four dominant socializer groups, namely, family, peers, university related individuals, and work related individuals, as well as three distinct areas of socializer influence: thinking about specific jobs, job exploration in general, and choosing whether to pursue further education. A closer look showed that while parents, peers, professors, and supervisors were all important to students' career plans, the type of influence each had tended to differ. In-depth examples of socializer influence and their impact on students' job related decisions are shared in this paper. The results are insightful for researchers, university and industry stakeholders, and students. © American Society for engineering Education, 2018.

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A model of context-dependent association using selective desensitization of nonmonotonic neural elements

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systems and Computers in Japan 2005年第7期36卷 73-83页

作者： Morita, Masahiko Matsuzawa, Kouhei Morokami, Shigemitsu Institute of Engineering Mechanics and Systems University of Tsukuba Tsukuba 305-8573 Japan Doctoral Program in Systems and Information Engineering University of Tsukuba Tsukuba 305-8573 Japan

In neural networks based on a distributed information representation, when different patterns are to be recalled from the same input by association depending on the context, the usual method is to concatenate the pattern representing the context with the input pattern. However, there is a serious problem in this approach, and strong constraints are imposed on the number of inputs and the number of context patterns. This paper tries to apply a different method of contextual modification to nonmonotonic neural networks in order to construct a context-dependent associative model that can solve the longstanding problem. In the proposed model, the number of associations that can be learned increases almost in proportion to the number of elements, regardless of the numbers of the input and context patterns. In addition, the state transitions among attractors can be controlled flexibly by switching the context, which enables the model to simulate the behavior of any finite automaton without inducing an explosive increase in the number of elements or the training time. The model also has a high generalization power ability based on fully distributed representations and has potential for overcoming the limitations of conventional symbol processing. © 2005 Wiley Periodicals, Inc.

关键词： Neural networks

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Prediction of Consumer Purchase Intention on Green Product

Prediction of Consumer Purchase Intention on Green Product

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2021 International Seminar on Application for Technology of Information and Communication, iSemantic 2021

作者： Hariyadi, Guruh Taufan Purwanto Isnanto, R Rizal Wibowo, Adi Warsito, Budi Universitas Diponegoro Doctoral Program of Information Systems Semarang Indonesia Universitas Diponegoro Faculty of Engineering Department of Chemical Engineering Semarang Indonesia Universitas Diponegoro Faculty of Engineerig Department of Computer Engineering Semarang Indonesia Universitas Diponegoro Faculty of Science and Mathematics Departement of Informatics Semarang Indonesia

ISBN: (纸本)9781665428040

Education to the public on green products has been widely carried out. Consumers who buy green products can be profiled by segmenting green consumers. In green marketing, consumer education on sustainable consumption is increasingly needed in recent years due to the problem of environmental pollution which poses a serious threat to the world population. Concern for the environment is an important topic in most countries, and individuals also study environmental issues. Individuals or groups of individuals who are 'ecologically aware' are also referred to as 'green consumers.' Such consumers are considered to have more concern for the environment. This study examined the predictions on the effect of the Green Perceived Value variables consisting of functional, conditional, and social values on the purchase intention of green consumers. It also tested the comparisons with other classification models. The models used in this research were Random Forest, Decision Tree, and Neural Network.. © 2021 IEEE.

关键词： Consumer behavior

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Dynamic laplace: Efficient centrality measure for weighted or unweighted evolving networks

arXiv

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arXiv 2018年

作者： Cordeiro, Mário Sarmento, Rui Portocarrero Brazdil, Pavel Gama, João Doctoral Program in Informatics Engineering Faculty of Engineering University of Porto INESC TEC - Institute for Systems and Computer Engineering Technology and Science

With its origin in sociology, Social Network Analysis (SNA), quickly emerged and spread to other areas of research, including anthropology, biology, information science, organizational studies, political science, and computer science. Being it's objective the investigation of social structures through the use of networks and graph theory, Social Network Analysis is, nowadays, an important research area in several domains. Social Network Analysis cope with different problems namely network metrics, models, visualization and information spreading, each one with several approaches, methods and algorithms. One of the critical areas of Social Network Analysis involves the calculation of different centrality measures (i.e.: the most important vertices within a graph). Today, the challenge is how to do this fast and efficiently, as many increasingly larger datasets are available. Recently, the need to apply such centrality algorithms to non static networks (i.e.: networks that evolve over time) is also a new challenge. Incremental and dynamic versions of centrality measures are starting to emerge (betweenness, closeness, etc). Our contribution is the proposal of two incremental versions of the Laplacian Centrality measure, that can be applied not only to large graphs but also to, weighted or unweighted, dynamically changing networks. The experimental evaluation was performed with several tests in different types of evolving networks, incremental or fully dynamic. Results have shown that our incremental versions of the algorithm can calculate node centralities in large networks, faster and efficiently than the corresponding batch version in both incremental and full dynamic network setups. Copyright © 2018, The Authors. All rights reserved.

关键词： Laplace transforms

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Location management for PCS networks with consideration of mobility patterns

Location management for PCS networks with consideration of m...

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IEEE INFOCOM 2005

作者： Li, Jie Kubota, Atsushi Kameda, Hisao Department of Computer Science Graduate School of Systems and Information Engineering University of Tsukuba Tsukuba Sci. City Ibaraki 305-8573 Japan Doctoral Program in Science and Information Engineering University of Tsukuba Tsukuba Sci. City Ibaraki 305-8573 Japan

ISBN: (纸本)0780389689

This paper addresses the dynamic location management for personal communication service (PCS) networks with consideration of mobility patterns. The popular hexagonal cellular architecture is considered. In this paper, we first introduce a coordinate system for the hexagonal cellular architectures. Then, we develop an all-direction mobility model based on the coordinate system for the hexagonal cellular architecture to cope with the mobility patterns of mobile terminals (MTs). The shape and size of the local area (LA) in the dynamic location management scheme is determined by minimizing the total location management cost with bounding the paging cost The optimization problem is transferred to maximize expected number of cells traversed by the MT in the LA with a given size of the LA. The analytic model of calculating the probabilities of any MT's moving is established. An algorithm is proposed to solve the optimization problem efficiently. © 2005 IEEE.

关键词： Data transfer

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A neural network model of pair-association memory in the inferotemporal cortex

A neural network model of pair-association memory in the inf...

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International Conference on Neural Information Processing

作者： A. Suemitsu M. Morita Doctoral Program in Engineering University of Tsukuba Ibaraki Japan Institute of Engineering Mechanics and Systems University of Tsukuba Ibaraki Japan

Neurons related to pair-association memory have been found in the inferotemporal cortex of monkeys, but their activities do not accord with existing neural network models. The article describes a neural network model consisting of excitatory-inhibitory cell pairs, which recalls paired patterns based on a gradual shift of the network state. It is demonstrated by computer simulations that this model agrees well with the observed neuronal activities.

关键词： Neural networks Brain modeling Intelligent networks Neurons Biological neural networks Time measurement Delay effects Biological information theory

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Model construction for expression of color impressions-considering reduction of human load

Model construction for expression of color impressions-consi...

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Conference of the North American Fuzzy Information Processing Society - NAFIPS

作者： M. Kawamura T. Onisawa Doctoral Program in Engineering University of Tsukuba Tsukuba Japan Institute of Engineering Mechanics & Systems University of Tsukuba Tsukuba Japan

This paper proposes a method to construct a subjective model for color impressions considering the reduction of human load. A model is constructed using the fuzzy rules expression in which the premise part shows color information and the consequent part shows emotional effects of color. Two kinds of questionnaire are carried out in order to obtain subjective information and a subjective model is constructed using them. The effectiveness of constructed subjective models is verified by the comparison with the objective model constructed by experts and with another subjective one.

关键词： Humans Psychology Visual perception Fuzzy sets Load modeling Information processing systems engineering and theory Optical wavelength conversion

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TAST-Trademark Application Assistant

TAST-Trademark Application Assistant

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IEEE International Conference on Image Processing

作者： P.W.H. Kwan K. Toraichi K. Kameyama F. Kawazoe K. Nakamura Doctoral Program Graduate School of Engineering University of Tsukuba Japan Institute of Information Sciences and Electronics University of Tsukuba Japan Doctoral Program Graduate School of Systems and Information Engineering University of Tsukuba Japan

In this paper, a Trademark Application Assistant (TAST) that aims to speed up the process of a successful trademark application is proposed. The core of TAST is a similarity-based image retrieval system that makes use of relaxation matching on extracted contour segments. A novelty of this research lies in the processing architecture introduced for adapting the highly effective but computation expensive relaxation matching algorithm to real-time image retrieval. Preliminary results illustrating the quality of matching and the scalability of the processing architecture in terms of response time are included. The proposed architecture is not limited to using relaxation matching based servers, but is also applicable to other types of matching server as well.

关键词： Trademarks Image retrieval Computer architecture Scalability Delay Character recognition Image databases Hardware Gray-scale systems engineering and theory

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