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Frontiers in Education (FIE) Conference

作者： Pablo Schoeffel Raul Sidnei Wazlawick Vinicius Faria Culmant Ramos Adilson Vahldick Marcelo de Souza 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 Departament of Software Engineering University of Santa Catarina State Ibirama Brazil

ISBN: (纸本)9781538611753;9781538611746

This Research to Practice Paper presents the results of the evaluation of pre-university factors that impact the initial motivation of undergraduate students in computing. Although there are studies in the literature that have investigated some previous factors, this paper replicates a previous work that aims to consolidate several pre-university factors and, as the main differential, uses the AMS (Academic Motivation Scale), a scale already consolidated in the literature to measure students' initial motivation, and evaluate the relation between motivation and candidate factors. We applied a questionnaire to 159 students from different computing programs in ten universities, which evaluates 20 factors divided into 4 groups: personal and demographic data, taste and knowledge of the program and area, computing experience, and school performance. To evaluate the correlation between factors and motivation, we used Spearman's coefficient, t-student test, and ANOVA to evaluate the correlation between factors and motivation. As main results, we found significant variation in the initial motivation according to following factors: taste for programming and technology, knowledge about the undergraduate program content, correct perception about computing professionals, knowledge and experience in computer programming, and general school performance.

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Environmental Education and Innovative Teaching Approaches, Case Study: "Saving of Water"

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Journal of engineering Science and Technology Review 2020年第Special Issue期 285-288页

作者： Xagoraris, S. Thysiadou, A. Cristoforidis, S. Postgraduate Program "Teaching Pedagogy and Information and Communication Technologies" Eastern Macedonia and Thrace Institute of Technology 65404 Greece Eastern Macedonia and Thrace Institute of Technology Petroleum and Mechanical Engineering Department Kavala Greece Eastern Macedonia and Thrace Institute of Technology Manager of Department ICT of Library Kavala Greece

The goal of environmental education is not protecting the natural environment or coping with environmental problems through simple solutions. It addresses people and social groups of all ages and aims at developing free and responsible citizens who participate effectively in social acts. It tries to convey meanings which seem to be elusive or ambiguous and open to multiple interpretations. In this way, societies will be able to act collectively in order to discover, probe and set their priorities. It is considered to be a progressive type of education, which is not stable in time. Actually, it discerns and assimilates all the social, financial, technological and cultural changes. In this particular paper, innovative teaching approaches concerning water and more particularly its saving are presented. In the past few decades, the creation of a new mentality on saving water and on proper use of water resources appears to be an imperative need. This effort aims mainly at addressing the constantly increasing needs of modern society as well as ensuring the preservation of all types of ecosystems locally or globally. The subjects of the survey were students at the department of chemistry of Aristotle University of Thessaloniki. The data was processed with the SPSS 21.0 programme and techniques of descriptive statistical analysis were used. The conclusions of the present paper revealed that the implementation of alternative methods of approaching knowledge as well as the analytical description of the whole teaching approach based on lesson plans, concept maps, brainstorming and projects contribute to viable water resources to a great extent. Moreover, they facilitate in altering the mentality on how to consume water (proper use), how to economize on water (waste elimination, reduced consumption, improvement works) through suitable techniques and how to perceive that water is an invaluable commodity (information, education, sensitization). © 2020 School of Science, IHU. All

关键词： Water resources

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Investigation of AODV Throughput Considering RREQ, RREP and RERR Packets

Investigation of AODV Throughput Considering RREQ, RREP and ...

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International Conference on Advanced information Networking and Applications (AINA)

作者： Elis Kulla Makoto Ikeda Leonard Barolli Fatos Xhafa Muhammad Younas Makoto Takizawa Graduate School of Engineering Fukuoka Institute of Technology Fukuoka Japan Department of Information and Communication Engineering Fukuoka Institute of Technology Fukuoka Japan Department of Languages and Informatics Systems Technical University of Catalonia Barcelona Spain Department of Computing and Comm Technologies Oxford Brookes University Oxford UK Department of Computers and Information Science Seikei University Musashino Tokyo Japan

As Mobile Ad hoc Networks (MANETs) are attracting attention for their potential use in several fields such as collaborative computing and multimedia communications, there is an increasing need to minimize the overhead introduced by routing protocols in the network. In this paper, we analyze the performance of a MANET by simulations, in terms of RREQ, RREP and RERR, considering Random Waypoint Mobility (RWM) model. We consider the cases when all nodes are moving and source and destination nodes are static. We evaluate the performance by measuring the throughput and AODV control packets.

关键词： Ad hoc networks Mobile computing Throughput Routing protocols Routing Topology

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An image-based postal barcode decoder with missing bar correction

An image-based postal barcode decoder with missing bar corre...

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Asia-Pacific Signal and information Processing Association Annual Summit and Conference (APSIPA)

作者： Peng-Hua Wang Jia-Wei Ciou Department of Communication Engineering National Taipei University New Taipei City Taiwan R.O.C Graduate Industrial Collaboration R&D Master Program of Information and Communication Technology National Taipei University New Taipei City Taiwan R.O.C

In this paper, we propose an image-based postal barcode decoding algorithm. The proposed algorithm is capable of correcting missing bars in a symbol. Postal barcodes in general belong to bar length modulated symbology. Usually, postal barcodes use a check digit to detect errors. It is possible for some postal code symbologies not only to detect errors, but also to correct them by using the uniqueness of the pattern of a digit. In this paper, we present a general method of correcting errors caused by missing bars. In order to validate our method, a POSTNET (Postal Numeric Encoding Techniques) decoder is implemented. Experimental results show that the proposed algorithm can correct one missing bar in a digit, and at most ten missing bars in a POSTNET symbol.

关键词： Bars Decoding Bar codes Linear codes Algorithm design and analysis Signal processing algorithms

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DLM: A distributed Large Memory System using remote memory swapping over cluster nodes

DLM: A distributed Large Memory System using remote memory s...

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IEEE International Conference on Cluster Computing

作者： Hiroko Midorikawa Motoyoshi Kurokawa Ryutaro Himeno Mitsuhisa Sato Department of Computer and Information Science Seikei University Musashino Tokyo Japan Graduate School of Systems and Information Engineering University of Tsukuba Tennodai Tsukuba Ibaraki Japan Advanced Center of Computing and Communication Wako Saitama Japan Research Program for Computational Science RIKEN Wako Saitama Japan

Emerging 64 bitOSpsilas supply a huge amount of memory address space that is essential for new applications using very large data. It is expected that the memory in connected nodes can be used to store swapped pages efficiently, especially in a dedicated cluster which has a high-speed network such as 10 GbE and Infiniband. In this paper, we propose the distributed large memory system (DLM), which provides very large virtual memory by using remote memory distributed over the nodes in a cluster. The performance of DLM programs using remote memory is compared to ordinary programs using local memory. The results of STREAM, NPB and Himeno benchmarks show that the DLM achieves better performance than other remote paging schemes using a block swap device to access remote memory. In addition to performance, DLM offers the advantages of easy availability and high portability, because it is a user-level software without the need for special hardware. To obtain high performance, the DLM can tune its parameters independently from kernel swap parameters. We also found that DLMpsilas independence of kernel swapping provides more stable behavior.

关键词： Kernel Arrays Memory management Servers Bandwidth Performance evaluation Benchmark testing

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Computer Vision-based Approach for Automated Recognition of Interference Patterns in Digital Inline Holography Microscopy

Computer Vision-based Approach for Automated Recognition of ...

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Annual IEEE Symposium on Computer-Based Medical Systems

作者： Manoella Rockembach Rodrigo Ferraz Souza Aldo von Wangenheim Antonio Carlos Sobieranski Department of Computing – DEC Federal University of Santa Catarina Araranguá Brazil Brazilian National Institute for Digital Convergence – INCoD Federal University of Santa Catarina Florianópolis Brazil Department of Computing - DEC Graduate Program in Information and Communication Technologies - PPGTIC Federal University of Santa Catarina Araranguá Brazil

ISBN: (数字)9798350384727

ISBN: (纸本)9798350384734

Digital Inline Holographic Microscopy (DIHM) is a lensless shadow imaging technique where a coherent light-source is utilized to illuminate samples and record interference patterns in a digitalizing device. Those patterns, called holograms, carry volumetric information regarding the inspected sample, requiring complex numerical methods to make them distinguishable as occurs in a conventional bright-field microscopic image. However, for many applications, the real-time analysis of holograms is computationally expensive due to the nature of numerical diffraction methods to reconstruct the signals into visual information. To mitigate this problem, in this paper we investigate the use of deep learning approaches to classify those interference patterns, directly from the raw holograms, without the requirement of phase-recovering methods for diffraction. In our approach, we investigated the use of distinct Convolutional Neural Networks (CNNs) architectures and its adaptability to correctly classify holograms in an experimental environment with a dataset generated from synthetic interference patterns produced by the Fresnel Diffraction Method. The computer-generated dataset was produced from 26 classes, resulting in a total of 520 samples after the data augmentation procedure. The obtained results demonstrated the feasibility of the proposed approach to properly classify samples with 96.8% of precision, directly from the holographic interference patterns, avoiding the need for computationally expensive diffraction methods.

关键词： Deep learning Visualization Diffraction Microscopy Neural networks Holography Data augmentation

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A Fuzzy-Based Simulation System for Cluster-Head Selection and Sensor Speed Control in Wireless Sensor Networks

A Fuzzy-Based Simulation System for Cluster-Head Selection a...

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International Conference on Emerging Intelligent Data and Web technologies (EIDWT)

作者： Leonard Barolli Qi Wang Elis Kulla Bexhet Kamo Fatos Xhafa Muhammad Younas Department of Information and Communication Engineering Fukuoka Institute of Technology Fukuoka Japan Graduate School of Engineering Fukuoka Institute of Technology Fukuoka Japan Department of Electronics and Telecommunication Polytechnic University of Tirana Tirana Albania Department of Languages and Informatics Systems Technical University of Catalonia Barcelona Spain Department of Computing and Comm Technologies Oxford Brookes University Oxford UK

Cluster formation and cluster head selection are important problems in sensor network applications and can drastically affect the network's communication energy dissipation. However, selecting the cluster head is not easy in different environments which may have different characteristics. In order to deal with this problem, we have proposed a system for controlling sensor speed in Wireless Sensor Networks (WSNs). The proposed system is based on fuzzy logic. We use 4 input linguistic parameters: Remaining Power of Sensor (RPS), Degree of Number of Neighbor Nodes (D3N), Distance from Cluster Centroid (DCC) and Sensor Speed (SS) for selection of the cluster-head and the control of sensor speed. By controlling the sensor speed, we are able to predict whether the node will leave or stay in the cluster. We evaluate the proposed system by simulations and show that the system has a good behavior.

关键词： Manganese Wireless sensor networks Mercury (metals) Frequency selective surfaces Power capacitors Pragmatics Clustering algorithms

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First Demonstration of HZO-LNOI Integrated Ferroelectric Electro-Optic Modulator and Memory to Enable Reconfigurable Photonic Systems

First Demonstration of HZO-LNOI Integrated Ferroelectric Ele...

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International Electron Devices Meeting (IEDM)

作者： Zefeng Xu Chun-Kuei Chen Hong-Lin Lin Yuan Gao Wei Ke Baochang Xu Pavel Dmitriev Carlan Arbiz Evgeny Zamburg Steven Touzard Xinlun Cai James Lee Suresh Venkatesan Aaron Danner Aaron Voon-Yew Thean Department of Electrical and Computer Engineering National University of Singapore (NUS) Integrative Sciences and Engineering Program NUS Graduate School Singapore Next-Generation Hybrid μ-Electronics Center (SHINE) Singapore School of Electronics and Information Technology Sun Yat-Sen University China 510275 Singapore Centre for Quantum Technologies NUS POET Technologies

We have successfully demonstrated, for the first time, an innovative back-end-of-line (BEOL) compatible electro-optic modulator and memory (EOMM) based on Lithium Niobate on Insulator (LNOI) micro-ring resonator (MRR) integrated with Ferroelectric Hafnium Zirconate Hf 0.5 Zr 0.5 O (HZO) non-volatile analog memory. High non-volatile memory and modulation performances are both achieved in a single compact device, exhibiting high extinction ratio of 13.3 dB, excellent efficiency of 66pm/V, stable nine-state switching, record-high endurance exceeding 10 9 cycles. This is accomplished by utilizing Pockels effect in LNOI, induced by electric-field effect from remnant HZO ferroelectric polarization. We studied the system implementation of reconfigurable chiplet-interposer photonic interconnect, enabled by the EOMM and EOMM with hybrid thermal-optical modulation. Our model shows a potential 70% energy efficiency improvement over conventional electrical interposer interconnect. We have also tested the integration of the EOMM with POET technologies’ 400G Tx/Rx optical interposer chip and studied a limited scale demonstration of the EOMM device.

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Cinematized reality: Cinematographic camera controlling 3D free-viewpoint video

Cinematized reality: Cinematographic camera controlling 3D f...

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Visual Media Production, 2005. CVMP 2005. The 2nd IEE European Conference on

作者： Kitahara Sakamoto Satomi Tanaka Kogure ATR Intelligent Robotics and Communication Laboratories Keihanna Science City Kyoto Japan Department of Ingelligent Intaraction Technologies Graduate School of Systems and Information Engineering University of Tsukuba Tsukuba Ibaraki Japan Department of Knowledge Science Japan Advanced Institute of Science and Technology Nomi Ishikawa Japan

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FincGAN: A Gan Framework of Imbalanced Node Classification on Heterogeneous Graph Neural Network

FincGAN: A Gan Framework of Imbalanced Node Classification o...

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International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： Hung Chun Hsu Ting-Le Lin Bo-Jun Wu Ming-Yi Hong Che Lin Chih-Yu Wang Graduate Program of Data Science National Taiwan University and Academia Sinica Taiwan Department of Accounting and Statistics National ChengChi University Taiwan Department of Risk Management and Insurance National ChengChi University Taiwan Department of Electrical Engineering National Taiwan University Taiwan Graduate Institute of Communication Engineering National Taiwan University Taiwan Research Center for Information Technology Innovation Academia Sinica Taiwan

Graph Neural Networks (GNNs) frequently face class imbalance issues, especially in heterogeneous graphs. Existing GNNs often assume balanced class sizes, which isn’t true in many cases. Applying them directly to imbalanced data can lead to sub-optimal performance. Traditional oversampling methods, while effective, risk overfitting and face difficulties in reintegrating synthetic samples into the original graph. In this study, we introduce Framework of Imbalanced Node Classification on heterogeneous graph neural network with GAN (FincGAN), a new framework that utilizes oversampling techniques to address class imbalance in heterogeneous graphs. Instead of duplicating existing samples, FincGAN employs a Generative Adversarial Network (GAN) to create synthetic samples and uses deep learning-based edge generators to connect them back to the original graph. Our evaluations on spam user detection in the Amazon and Yelp Review datasets show that FincGAN outperforms baseline models in all essential metrics, including F-score and AUC-PRC score, showing its effectiveness in addressing class imbalance.

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