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International Conference on Recent Advances in Space technologies, RAST 2003

作者： Hacihaliloglul, Llker Karta, Mesut Satellite Communication and Remote Sensing Graduate Program Advanced Technologies in Engineering Informatics Institute Istanbul Technical University Maslak Istanbul34469 Turkey Electronic and Communication Department Faculty of Electrical and Electronic Engineering Istanbul Technical University Maslak Istanbul34469 Turkey

ISBN: (纸本)0780381424

Synthetic aperture radar (SAR) and SPOT images are becoming increasingly important and abundant in a variety of remote sensing and tactical applications. Thus, there is a strong interest in developing data encoding and decoding algorithms that can obtain higher compression ratios while keeping image quality to an acceptable level. This study aims to compare most of the well-known compression techniques namely discrete cosine transform and discrete wavelet transform. It investigates RADARSAT and SPOT images of different regions of different characteristics. RADARSAT-I fine and standard beam mode images of the different regions in Istanbul are used to test the performance of the compression algorithms. The regions, which have been investigated, were sea areas, forest areas, built environment - residential and industrial areas which define different patterns of urban land use. The studies showed that homogeneous areas like forest and sea gave better compression results compared to heterogeneous areas like industrial and environmental. The second purpose of this study is to compare the two compression algorithms. The discrete wavelet based algorithm gave much better results compared to the discrete cosine transform based algorithm. The results changed according to the quantization process and the transform coding algorithm. © 2003 IEEE.

关键词： Discrete wavelet transforms

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Toward the data-driven 'smart' and 'green' hospital-care 9

Toward the data-driven 'smart' and 'green' hospital-care

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9th ITU Kaleidoscope Academic Conference: Challenges for a Data-Driven Society, ITU K 2017

作者： Spyropoulos, B. Alexandropoulos, A. Boci, N. Chatziapostolou, E. Frappa, E. Georgiadou, E. Louts, I. Pantelakis, I. Poultsaki, M. Xenaki, M. Department of Biomedical Engineering Technological Education Institute of Athens Athens Greece Graduate Program 'Information Technologies in Medicine and Biology' Department of Informatics and Telecommunications National and Kapodistrian University of Athens Athens Greece

ISBN: (纸本)9789261242916

The Hospital is the most complex and representative establishment of the society and nowadays, among the most costly ones. ICTs may rationalize personnel-efforts and reduce energy and material-wasting, to enable health-care coverage, of unprivileged social-groups. The aim of the paper is to present the most effective and efficient means and tools, reducing unnecessary cost, as Mobile IP-network, Service-oriented architecture, provided to other components, through a communication protocol, over a network, Ubiquitous-computing, Femtocells, small, low-power cellular base-stations, typically designed for use in a hospital-department, ward-room or unit, Wireless mesh-networks, made-up of radio-nodes, organized in a mesh-topology, supporting intra-hospital data-exchange, training Multimedia-sharing over wireless networks, for real-time or compressed data-streaming over IP/wireless-networks for communication or archiving. Green-computing in wireless-networks, are limiting people and material intrahospital 'circulation' and, thus, they are enabling the necessary environmentally friendly and smooth procedures. Standardization, policies and regulations for green communications and computing, in 'green' Hospitals are indispensable and ICTs enable procedures optimization, solving energy- and material-waste problems, reducing the overall operational-cost, in the emerging 'smart, green and networked' Hospital, in favor of the people in need. © 2017 ITU.

关键词： Standardization

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A novel evolution-based recommendation system 12

A novel evolution-based recommendation system

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12th International Conference on Ubi-Media Computing, Ubi-Media 2019

作者： Chen, Yi-Cheng Chu, Yen-Lung Hui, Lin Chen, Sheng-Chih Thaipisutikul, Tipajin Weng, Kai-Ze Department of Information Management National Central University Taiwan Department of Computer Science and Information Engineering Tamkang University Taiwan Department of Innovative Information and Technology Tamkang University Taiwan Master's Program of Digital Content and Technologies College of Communication National ChengChi University Taiwan Department of Computer Science and Information Engineering National Central University Taiwan

ISBN: (纸本)9781728128207

Matrix factorization (MF) technique has been widely utilized in recommendation systems due to the precise prediction of users' interests. Prior MF-based methods adapt the overall rating to make the recommendation by extracting latent factors from users and items. However, in real applications, people's preferences usually vary with time;the traditional MF-based methods could not properly capture the change of users' interests. In this paper, by incorporating the recurrent neural network (RNN) into MF, we develop a novel recommendation system, M-RNN-F, to effectively describe the preference evolution of users over time. A learning model is proposed to capture the evolution pattern and predict the user preference in the future. The experimental results show that M-RNN-F performs better than other state-of-the-art recommendation algorithms. In addition, we conduct the experiments on real world dataset to demonstrate the practicability. © 2019 IEEE.

关键词： Recommender systems

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Partial response maximum likelihood sequence detector for a nonlinear magnetic recording channel

Partial response maximum likelihood sequence detector for a ...

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2010 International Conference on System Science and engineering, ICSSE 2010

作者： Kao, Tsai-Sheng Chen, Chiu-Hsiung Chen, Sheng-Chih Hou, Sheng-Yun Chang, Yuan-Chang Chou, Xsing-Bang Department of Electronic Engineering Hwa-Hsia Institute of Technology Taipei Taiwan Department of Computer Science and Information Engineering China University of Technology Hsinchu Taiwan Graduate Program of Digital Contens and Technologies ChengChi University Taipei Taiwan

ISBN: (纸本)9781424464746

The nonlinear effects of partial erasure and transition shift, however, often limit the performance attained by the partial response maximum likelihood (PRML) detector because of model mismatch. Conventionally, the nonlinear effects are either ignored or approximated by linearization technique. In the article, a PRML detector for the PR4 model including the nonlinear effects has been developed to improve the detector performance. The new representation is more accurate and the corresponding PRML detector has better performance without increasing the realization complexity. Computer simulation results show that the new representation outperforms the conventional ones due to the enhanced modeling capability. The method is also expected to be applied in the high order partial response channel. © 2010 IEEE.

关键词： Magnetic recording

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Correlation functions for storage data and nonreturn-to-zero-inverted modulated data of a high-density magnetic recording channel with partial erasure effect

Correlation functions for storage data and nonreturn-to-zero...

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2010 International Conference on Computer Modeling and Simulation, ICCMS 2010

作者： Kao, Tsai-Sheng Chen, Chiu-Hsiung Chen, Sheng-Chih Chang, Yuan-Chang Wang, Shun-Te Department of Electronic Engineering Hwa-Hsia Institute of Technology Taipei Taiwan Department of Computer Science and Information Engineering China University of Technology Hsinchu Taiwan Graduate Program of Digital Contens and Technologies ChengChi University Taipei Taiwan

ISBN: (纸本)9780769539416

As magnetic recording densities grow, the nonlinear distortions, known as transition shift and partial erasure, arise and limit the performance of the detector. Despite that the transition shift can be compensated by a write current technique, the effect of partial erasure complicates the evaluation of the correlation functions for the storage data and the nonreturn-to-zero- inverted modulated data. In this article, we observe the dependence between the partial erasure effect and storage data, and derive the correlation functions for storage data and nonreturn-to-zero-inverted modulated data in a high density magnetic recording channel. The closed-form of the correlation functions are obtained, these results are applied to verify the timing function of the Muller & Mueller's phase detector in a partial response class IV channel via computer simulations. © 2010 IEEE.

关键词： Signal detection

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TreeXGNN: can gradient-boosted decision trees help boost heterogeneous graph neural networks? 48

TreeXGNN: can gradient-boosted decision trees help boost het...

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48th IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2023

作者： Hong, Ming-Yi Chang, Shih-Yen Hsu, Hao-Wei Huang, Yi-Hsiang Wang, Chih-Yu Lin, Che Academia Sinica Research Center for Information Technology Innovation Taiwan National Taiwan University and Academia Sinica Graduate Program of Data Science Taiwan National Taiwan University Graduate Institute of Communication Engineering Taiwan National Taiwan University Department of Electrical Engineering Taiwan

ISBN: (纸本)9781728163277

Graph neural networks are a promising deep learning method that can apply graph structures to various tasks. In real-world scenarios, we often have heterogeneous graphs, wherein different node and edge types capture complex interactions between nodes. High-dimensional node features provide rich information about the target nodes. Conventional heterogeneous graph neural networks (HGNN) focus more on graph structures than node features and may have difficulties extracting knowledge from complex node features. In this study, we propose a novel framework, the tree-boosted heterogeneous graph neural network abbreviated as TreeXGNN, which could efficiently and automatically extract target node features via gradient-boosted decision trees (GBDT). It integrates community structure information with proper fusion modules and a shared feature space design on HGNN. We achieved state-of-the-art performance on the three well-known heterogeneous graph benchmark datasets, IMDB, DBLP, and ACM, and significantly improved performance compared to previous studies. Our work paves the foundation for integrating tree-based models to boost HGNNs for general community analysis. © 2023 IEEE.

关键词： Classification (of information)

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Motivation and engagement factors of undergraduate students in computing: A systematic mapping study 48

Motivation and engagement factors of undergraduate students ...

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48th Frontiers in Education Conference, FIE 2018

作者： Schoeffel, Pablo Wazlawick, Raul Sidnei Ramos, Vinicius Faria Culmant Graduate Program in Computer Science Federal University of Santa Catarina Florianópolis Brazil Department of Informatics and Statistics Federal University of Santa Catarina Florianópolis Brazil Department of Information and Communication Technologies Federal University of Santa Catarina Araranguá Brazil

ISBN: (纸本)9781538611739

This paper presents a systematic mapping study on factors that affect motivation in computing undergraduate students. Although there are several initiatives to improve teaching and learning computing, the panorama is still negative. Motivation and engagement are usually singled out as reasons for students' retention or success, but we found a lack of standards in studies on motivation of computing students, and we have not found literature reviews about this subject. We identified twenty-nine (29) motivation factors presented in 32 selected studies. We divided the factors into five categories: student, professor/teaching, program/course/content, environment/university, and social aspects. The most mentioned factor was related to the teaching-learning strategies (37.5%), professor-student interaction (31.3%) and prior knowledge (31.3%). We also have identified that there is no convergence on literature about the identification and measurement of motivation and engagement. Another interesting aspect was that, despite the literature saying that intrinsic motivation has a greater impact on the student's results, many studies are being carried out considering extrinsic aspects. This shows the concern of the computing community regarding these aspects. However, there are only a few studies with controlled studies and evaluations on the impact of the factors in the motivation of students. © 2018 IEEE.

关键词： Students

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Using multiple active teaching-learning approaches in software project management: A longitudinal analysis of students' motivation and learning 48

Using multiple active teaching-learning approaches in softwa...

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48th Frontiers in Education Conference, FIE 2018

ISBN: (纸本)9781538611739

This article describes the instructional design and evaluation of a course about project management in a software engineering post-graduation program using different teaching approaches and with a focus on active learning. We use four different approaches: digital educational game, non-digital educational game, hands-on activity, and experiential activity. Each one of the activities is evaluated for the aspects of motivation, user experience, and learning, following the MEEGA evaluation model and Cidral's experiential activity model. To verify the perceptions of students over time, we also assess graduated students that have concluded this course after two to four years, considering the aspects of motivation and learning. Results indicate a high level of approval for dynamic activities, regarding both motivation and learning. Activities with greater impact on motivation and learning are dynamics and educational games, group practical activities, and group theoretical activities. Among the factors that most influence students' motivation, we highlight: active learning, teacher knowledge, the taste of the area, and teaching methods. We realized that there was no significant variation in the perception of the activities by students over time. © 2018 IEEE.

关键词： Students

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Overview of Versatile Video Coding (H.266/VVC) and Its Coding Performance Analysis

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IEIE Transactions on Smart Processing and Computing 2023年第2期12卷 122-154页

作者： Lee, Minhun Song, HyeonJu Park, Jeeyoon Jeon, Byeungwoo Kang, Jungwon Kim, Jae-Gon Lee, Yung-Lyul Kang, Je-Won Sim, Donggyu Department of Computer Engineering Kwangwoon University Seoul Korea Republic of Department of Computer Engineering Sejong University Seoul Korea Republic of Department of Electrical and Computer Engineering Sungkyunkwan University Kyunggi-do Korea Republic of Communication and Media Research Laboratory Electronics and Telecommunications Research Institute Deajeon Korea Republic of School of Electronics and Information Engineering Korea Aerospace University Kyunggi-do Korea Republic of Department of Electronic and Electrical Engineering Graduate Program in Smart Factory Ewha Womans University Seoul Korea Republic of

Versatile Video Coding (H.266/VVC) is the newest video coding standard jointly developed by the Joint Video Experts Team (JVET), which is organized by the ITU-T Video Coding Experts Group (VCEG) and the ISO/IEC Moving Picture Experts Group (MPEG). H.266/VVC provides about 40% bitrate reduction compared with High Efficiency Video Coding (H.265/HEVC) for the same visual quality. This paper introduces in detail the core structure of H.266/VVC by highlighting its features within block partitioning structure, intra/inter prediction, transform, quantization, and in-loop filtering, compared to its predecessor (H.265/HEVC). H.266/VVC yields significantly improved the coding performance, but it increased the computational complexity, particularly for the encoder side, which remains a problem to be tackled for successful commercialization in the future. This paper examined the statistical performance of H.266/VVC coding tools from the bitstreams encoded by the VVC test model (VTM12.0) encoder through rate-distortion optimization under the JVET common test conditions. In addition, the complexity and performance analyses are conducted on the block partitioning structure and group of picture structure. It is expected that an optimized H.266/VVC encoder can be designed and developed by minimizing the coding loss based on the analysis data. © 2023 Institute of Electronics and information Engineers. All rights reserved.

关键词： Image compression

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Evaluation of web based learning on student achievement in primary school computer courses

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Procedia - Social and Behavioral Sciences 2010年第2期2卷 5813-5819页

作者： Dilek Karahoca Adem Karahoca Ahmet Karaoglu Batuhan Gulluoglu Evren Arifoglu Software Engineering Department Bahcesehir University Turkey Information Technologies Graduate Program Bahçeşehir University Turkey

The purpose of this study is to investigate the effectiveness of web-based MS Power Point education on primary school students. Educational course material has been developed for web based learning environment. It has web based content of MS Power Point 2003 program. Also, quality of educational material is evaluated by taking into the account the ISO9241Usability of software standards. For this purpose, Xerox Usability Survey is conducted to the 83 primary school students. Statistical analysis shows that achievement of the students increased via the web based content.

关键词： Web based education web based learning usability software usability primary school education

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